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Full Scoreboard »» |
Chicago Blackhawks 29-16-2, 60pts · 2nd in WESTERN CONFERENCE |
# | Player | POS | CON | HT | WT | Age | DOB | POB | Contract | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19 | ![]() | LW/RW | 100% | 6' 2" | 206 | 27 | Dec 11, 1997 | $11,750,000/5yrs | 98 | 83 | 56 | 99 | 80 | 77 | 84 | 94 | 25 | 94 | 94 | 88 | 76 | 99 | 99 | 60 | 70 | 85 | |
93 | ![]() | C/RW | 99% | 6' 2" | 201 | 33 | Apr 18, 1992 | $7,200,000/5yrs | 93 | 83 | 59 | 86 | 78 | 75 | 90 | 92 | 89 | 93 | 93 | 87 | 78 | 99 | 99 | 28 | 76 | 83 | |
59 | ![]() | C/W | 99% | 5' 11" | 180 | 30 | Oct 06, 1994 | $5,500,000/1yrs | 55 | 36 | 95 | 97 | 67 | 79 | 80 | 86 | 78 | 90 | 88 | 80 | 83 | 98 | 96 | 48 | 77 | 80 | |
24 | ![]() | C/LW | 99% | 6' 3" | 212 | 28 | Nov 17, 1996 | $5,500,000/3yrs | 70 | 45 | 97 | 87 | 83 | 81 | 77 | 91 | 85 | 92 | 89 | 75 | 25 | 87 | 87 | 50 | 77 | 80 | |
9 | ![]() | C/W | 100% | 6' 1" | 205 | 30 | Aug 13, 1994 | $8,500,000/6yrs | 82 | 55 | 84 | 91 | 78 | 79 | 83 | 96 | 45 | 85 | 95 | 70 | 60 | 77 | 80 | 55 | 77 | 79 | |
0 | ![]() | LW/RW | 99% | 5' 8" | 181 | 37 | Sep 01, 1987 | $4,750,000/1yrs | 79 | 56 | 74 | 88 | 64 | 83 | 79 | 91 | 25 | 91 | 73 | 83 | 76 | 99 | 99 | 1 | 77 | 78 | |
10 | ![]() | LW/RW | 100% | 5' 11" | 197 | 29 | Aug 26, 1995 | $3,750,000/2yrs | 54 | 28 | 98 | 99 | 73 | 77 | 76 | 89 | 25 | 81 | 81 | 68 | 77 | 99 | 99 | 49 | 66 | 77 | |
96 | ![]() | LW/RW | 100% | 5' 11" | 194 | 29 | Feb 04, 1996 | $4,000,000/4yrs | 58 | 41 | 96 | 87 | 72 | 74 | 80 | 86 | 25 | 80 | 92 | 66 | 75 | 60 | 60 | 45 | 77 | 74 | |
70 | ![]() | C/W | 100% | 6' 1" | 184 | 26 | Oct 30, 1998 | $1,700,000/2yrs | 41 | 20 | 99 | 99 | 70 | 60 | 92 | 84 | 69 | 79 | 77 | 71 | 77 | 80 | 80 | 61 | 77 | 74 | |
15 | ![]() | C | 100% | 6' 1" | 185 | 27 | Jan 12, 1998 | $800,000/2yrs | 90 | 89 | 61 | 71 | 71 | 90 | 64 | 81 | 84 | 80 | 81 | 82 | 62 | 78 | 78 | 61 | 76 | 74 | |
77 | ![]() | C/RW | 100% | 5' 10" | 174 | 29 | May 06, 1996 | $900,900/1yrs | 53 | 46 | 93 | 82 | 64 | 75 | 73 | 79 | 70 | 79 | 76 | 71 | 67 | 99 | 99 | 51 | 20 | 73 | |
64 | ![]() | RW | 100% | 6' 0" | 181 | 26 | Feb 10, 1999 | $700,000/2yrs | 51 | 47 | 93 | 91 | 68 | 75 | 95 | 78 | 60 | 72 | 78 | 83 | 69 | 67 | 65 | 66 | 76 | 73 | |
52 | ![]() | D | 100% | 6' 0" | 206 | 31 | Jan 07, 1994 | $6,250,000/2yrs | 91 | 67 | 66 | 84 | 78 | 89 | 93 | 83 | 25 | 72 | 54 | 92 | 25 | 99 | 97 | 40 | 77 | 81 | |
8 | ![]() | D | 100% | 6' 2" | 193 | 35 | Dec 20, 1989 | $3,250,000/5yrs | 75 | 39 | 83 | 76 | 75 | 85 | 77 | 85 | 25 | 69 | 60 | 89 | 60 | 99 | 99 | 14 | 76 | 77 | |
37 | ![]() | D | 100% | 6' 2" | 165 | 30 | Jan 26, 1995 | $1,250,000/6yrs | 52 | 38 | 95 | 78 | 64 | 69 | 70 | 87 | 25 | 84 | 81 | 85 | 59 | 99 | 99 | 47 | 77 | 75 | |
12 | ![]() | D | 100% | 6' 1" | 200 | 22 | Aug 22, 2002 | $925,000/3yrs | 71 | 42 | 89 | 85 | 76 | 91 | 78 | 83 | 25 | 71 | 50 | 90 | 25 | 55 | 56 | 90 | 77 | 74 | |
44 | ![]() | D | 100% | 6' 4" | 207 | 31 | Jul 06, 1993 | $1,895,000/6yrs | 60 | 44 | 90 | 73 | 82 | 76 | 76 | 83 | 25 | 73 | 70 | 82 | 57 | 99 | 98 | 42 | 76 | 74 | |
50 | ![]() | D | 100% | 6' 0" | 189 | 31 | Nov 09, 1993 | $800,750/1yrs | 67 | 33 | 85 | 74 | 71 | 73 | 50 | 88 | 25 | 84 | 82 | 75 | 59 | 96 | 91 | 39 | 69 | 73 | |
Scratches | |||||||||||||||||||||||||||
15 | ![]() | C/W | 100% | 5' 11" | 200 | 24 | Jan 28, 2001 | $925,000/3yrs | 69 | 42 | 89 | 86 | 74 | 74 | 86 | 88 | 76 | 77 | 78 | 70 | 25 | 63 | 65 | 80 | 68 | 73 | |
22 | ![]() | C/LW | 100% | 5' 10" | 175 | 23 | Feb 01, 2002 | $1,500,000/5yrs | 91 | 53 | 83 | 90 | 64 | 82 | 80 | 83 | 38 | 83 | 82 | 66 | 25 | 64 | 64 | 82 | 29 | 73 | |
57 | ![]() | D | 100% | 6' 3" | 191 | 33 | Jul 24, 1991 | $1,210,000/1yrs | 76 | 47 | 79 | 76 | 75 | 77 | 76 | 78 | 25 | 68 | 60 | 84 | 64 | 99 | 99 | 26 | 22 | 75 |
# | Goalie | Pos | Condition | HT | WT | Age | DOB | POB | Contract | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31 | ![]() | G | 99% | 6' 5" | 203 | 35 | Jan 10, 1990 | $4,000,000/5yrs | 85 | 94 | 99 | 82 | 89 | 94 | 97 | 93 | 93 | 84 | 88 | 95 | 99 | 22 | 70 | 89 | |
75 | ![]() | G | 100% | 6' 4" | 179 | 29 | Mar 29, 1996 | $1,500,000/1yrs | 73 | 70 | 76 | 71 | 73 | 95 | 94 | 94 | 96 | 74 | 69 | 95 | 99 | 39 | 78 | 83 | |
Scratches |
General Manager | Russ Walsh |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 93 | C/RW | 47 | 23 | 30 | 53 | 12 | 49 | 5 | 108 | 188 | 49 | 126 | 12.23% | 10 | 18.85 | 6 | 13 | 19 | 150 | 0 | 0 | 0 | 60 | 3 | 0 | 56.09% | 1232 | 0 | 0 | 0 | 2 | 1.20 | 1 | 3 | |
2 | Matthew Tkachuk | 19 | LW/RW | 47 | 24 | 26 | 50 | -4 | 75 | 15 | 155 | 194 | 56 | 139 | 12.37% | 5 | 17.84 | 8 | 9 | 17 | 150 | 0 | 0 | 0 | 19 | 8 | 1 | 34.72% | 72 | 0 | 0 | 0 | 1 | 1.19 | 2 | 4 | |
3 | Filip Forsberg | 9 | C/LW/RW | 47 | 16 | 27 | 43 | 9 | 6 | 0 | 47 | 171 | 51 | 126 | 9.36% | 3 | 18.09 | 4 | 7 | 11 | 158 | 0 | 0 | 0 | 18 | 0 | 1 | 40.19% | 107 | 0 | 0 | 0 | 0 | 1.01 | 0 | 1 | |
4 | Jake Guentzel | 59 | C/LW/RW | 47 | 14 | 21 | 35 | -4 | 0 | 0 | 2 | 124 | 42 | 95 | 11.29% | 6 | 17.45 | 2 | 12 | 14 | 135 | 0 | 0 | 0 | 0 | 2 | 0 | 53.57% | 140 | 0 | 0 | 0 | 0 | 0.85 | 0 | 4 | |
5 | Mats Zuccarello | 0 | LW/RW | 47 | 11 | 20 | 31 | 11 | 8 | 0 | 42 | 102 | 43 | 90 | 10.78% | 18 | 20.26 | 1 | 6 | 7 | 161 | 0 | 0 | 0 | 129 | 1 | 3 | 16.13% | 93 | 0 | 0 | 0 | 0 | 0.65 | 1 | 4 | |
6 | Brock Faber | 12 | D | 47 | 8 | 23 | 31 | 9 | 38 | 0 | 82 | 55 | 14 | 24 | 14.55% | 74 | 22.23 | 6 | 8 | 14 | 161 | 0 | 1 | 1 | 126 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.59 | 0 | 0 | |
7 | Mackenzie Weegar | 52 | D | 47 | 6 | 24 | 30 | 6 | 69 | 5 | 135 | 57 | 17 | 30 | 10.53% | 63 | 21.53 | 0 | 4 | 4 | 126 | 0 | 0 | 0 | 112 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
8 | Roope Hintz | 24 | C/LW | 47 | 12 | 16 | 28 | -4 | 0 | 0 | 7 | 112 | 33 | 66 | 10.71% | 7 | 19.26 | 7 | 4 | 11 | 152 | 1 | 0 | 1 | 81 | 1 | 0 | 51.67% | 1225 | 0 | 0 | 1 | 0 | 0.62 | 0 | 0 | |
9 | Thomas Vannelli | 37 | D | 47 | 4 | 18 | 22 | 1 | 12 | 0 | 15 | 63 | 23 | 39 | 6.35% | 56 | 21.79 | 3 | 5 | 8 | 153 | 0 | 0 | 0 | 98 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
10 | Juuso Riikola | 50 | D | 40 | 5 | 16 | 21 | 2 | 22 | 0 | 59 | 33 | 12 | 26 | 15.15% | 37 | 17.51 | 3 | 6 | 9 | 128 | 0 | 0 | 0 | 3 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
11 | Chris Tanev | 8 | D | 45 | 5 | 15 | 20 | -5 | 24 | 0 | 45 | 37 | 7 | 15 | 13.51% | 62 | 21.13 | 1 | 1 | 2 | 22 | 0 | 0 | 0 | 128 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Jesper Boqvist | 70 | C/LW/RW | 47 | 6 | 14 | 20 | 1 | 4 | 0 | 2 | 95 | 29 | 75 | 6.32% | 3 | 12.47 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 41.18% | 51 | 0 | 0 | 0 | 0 | 0.68 | 1 | 2 | |
13 | Maksim Sushko | 64 | RW | 43 | 5 | 10 | 15 | 9 | 0 | 0 | 1 | 46 | 11 | 48 | 10.87% | 5 | 8.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 1 | 1 | 47.83% | 23 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | |
14 | Anthony Duclair | 10 | LW/RW | 32 | 5 | 7 | 12 | 8 | 0 | 0 | 1 | 46 | 15 | 26 | 10.87% | 1 | 8.79 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 36.73% | 49 | 0 | 0 | 0 | 0 | 0.85 | 1 | 1 | |
15 | Rob O'Gara | 44 | D | 47 | 2 | 10 | 12 | 2 | 22 | 10 | 29 | 44 | 3 | 20 | 4.55% | 48 | 16.89 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
16 | Andrei Kuzmenko | 96 | LW/RW | 46 | 8 | 4 | 12 | -4 | 10 | 10 | 22 | 59 | 21 | 49 | 13.56% | 4 | 11.04 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 23.68% | 38 | 0 | 0 | 0 | 0 | 0.47 | 1 | 2 | |
17 | Otto Somppi | 15 | C | 45 | 5 | 5 | 10 | 7 | 18 | 10 | 73 | 39 | 10 | 24 | 12.82% | 7 | 10.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0 | 2 | 53.13% | 591 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | |
18 | Alex Newhook | 15 | C/LW/RW | 35 | 2 | 6 | 8 | -5 | 18 | 10 | 38 | 44 | 11 | 23 | 4.55% | 2 | 13.01 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 44.80% | 442 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
19 | Trevor van Riemsdyk | 57 | D | 9 | 2 | 2 | 4 | 4 | 14 | 0 | 30 | 6 | 0 | 2 | 33.33% | 2 | 16.27 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
20 | Adam Brooks | 77 | C/RW | 15 | 1 | 3 | 4 | -2 | 0 | 0 | 1 | 10 | 4 | 7 | 10.00% | 1 | 6.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 45.12% | 82 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
21 | Seth Jarvis | 22 | C/LW | 19 | 1 | 2 | 3 | -5 | 2 | 0 | 26 | 21 | 6 | 20 | 4.76% | 1 | 11.62 | 1 | 0 | 1 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 15.63% | 32 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
Team Total or Average | 846 | 165 | 299 | 464 | 48 | 391 | 65 | 920 | 1546 | 457 | 1070 | 10.67% | 415 | 16.44 | 43 | 76 | 119 | 1577 | 1 | 1 | 2 | 1020 | 26 | 12 | 50.16% | 4177 | 0 | 0 | 2 | 3 | 0.67 | 7 | 23 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Martin Jones | 38 | 36 | 22 | 11 | 2 | 0.911 | 2.69 | -4.6 | 2076 | 2 | 4 | 93 | 1040 | 0 | 1 | 1 | 0.750 | 12 | 36 | 11 | 5 | 1 | 0 | |
2 | Brandon Halverson | 16 | 11 | 7 | 5 | 0 | 0.895 | 3.20 | -7.8 | 769 | 2 | 0 | 41 | 390 | 0 | 1 | 0 | 0.818 | 11 | 11 | 36 | 0 | 1 | 0 | |
Team Total or Average | 54 | 47 | 29 | 16 | 2 | 0.906 | 2.83 | 2846 | 4 | 4 | 134 | 1430 | 0 | 2 | 1 | 0.783 | 23 | 47 | 47 | 5 | 2 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 3 | 6 | 3 | 1 | 107 | 36 | 39 | 31 | 1 | 86 | 31 | 12 | 80 | 13 | 3 | 23.08% | 5 | 1 | 80.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 78 | 56 | 65 | 20 | 36 | 19 | 50.0% | 12.1% | 87.2% | 99.4 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 13 | 11 | 9 | 0 | 36 | 16 | 9 | 14 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 15 | 24 | 6 | 12 | 5 | 16.7% | 9.1% | 86.1% | 95.2 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 30 | 9 | 10 | 11 | 0 | 26 | 7 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 20 | 14 | 27 | 6 | 12 | 5 | 40.0% | 6.7% | 88.5% | 95.1 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 70 | 26 | 20 | 24 | 0 | 52 | 20 | 12 | 38 | 15 | 4 | 26.67% | 6 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 51 | 36 | 43 | 14 | 24 | 13 | 62.5% | 12.9% | 94.2% | 107.1 | LUCKY | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 10 | 16 | 0 | 1 | 2 | 2 | 2 | 0 | 92 | 24 | 45 | 23 | 0 | 88 | 23 | 18 | 54 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 72 | 51 | 69 | 21 | 37 | 18 | 50.0% | 6.5% | 93.2% | 99.7 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 40 | 16 | 13 | 11 | 0 | 23 | 7 | 8 | 18 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 24 | 16 | 22 | 7 | 13 | 6 | 75.0% | 10.0% | 95.7% | 105.7 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 37 | 9 | 13 | 15 | 0 | 21 | 11 | 8 | 24 | 9 | 4 | 44.44% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 26 | 18 | 19 | 7 | 13 | 7 | 50.0% | 16.2% | 90.5% | 106.7 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 29 | 11 | 8 | 10 | 0 | 35 | 19 | 27 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 21 | 14 | 25 | 7 | 12 | 6 | 57.1% | 17.2% | 91.4% | 108.7 | LUCKY | |
9 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 3 | 2 | 2 | 89 | 22 | 30 | 33 | 13 | 77 | 24 | 18 | 55 | 18 | 2 | 11.11% | 9 | 1 | 88.89% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 74 | 50 | 71 | 23 | 38 | 18 | 46.7% | 10.1% | 88.3% | 98.4 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 68 | 24 | 27 | 17 | 0 | 60 | 11 | 8 | 41 | 12 | 2 | 16.67% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 53 | 38 | 40 | 13 | 25 | 13 | 41.7% | 10.3% | 86.7% | 97.0 | FUN | |
11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 2 | 0 | 109 | 38 | 37 | 34 | 0 | 98 | 29 | 24 | 63 | 9 | 1 | 11.11% | 12 | 5 | 58.33% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 71 | 50 | 74 | 20 | 34 | 17 | 72.7% | 8.3% | 91.8% | 100.1 | DULL | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 38 | 17 | 10 | 7 | 8 | 28 | 7 | 8 | 21 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 31 | 22 | 21 | 7 | 12 | 6 | 66.7% | 5.3% | 96.4% | 101.7 | DULL | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 2 | 1 | 48 | 7 | 21 | 18 | 2 | 28 | 8 | 2 | 24 | 9 | 3 | 33.33% | 1 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 28 | 20 | 19 | 7 | 12 | 6 | 37.5% | 12.5% | 82.1% | 94.6 | FUN | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 19 | 31 | 1 | 0 | 4 | 6 | 1 | 1 | 104 | 29 | 43 | 30 | 5 | 108 | 26 | 17 | 60 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 76 | 55 | 70 | 20 | 37 | 18 | 47.6% | 11.5% | 89.8% | 101.4 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 39 | 7 | 9 | 23 | 0 | 27 | 7 | 8 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 27 | 20 | 21 | 6 | 11 | 6 | 60.0% | 10.3% | 92.6% | 102.8 | LUCKY | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 7 | 6 | 19 | 0 | 30 | 10 | 19 | 23 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 28 | 20 | 24 | 6 | 12 | 6 | 0.0% | 6.3% | 90.0% | 96.3 | Unlucky | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 13 | 21 | 0 | 1 | 3 | 2 | 3 | 0 | 81 | 29 | 31 | 21 | 0 | 94 | 19 | 28 | 52 | 6 | 2 | 33.33% | 13 | 2 | 84.62% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 67 | 46 | 76 | 22 | 36 | 17 | 50.0% | 9.9% | 91.5% | 101.4 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 40 | 12 | 17 | 11 | 0 | 25 | 6 | 6 | 19 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 22 | 15 | 25 | 7 | 12 | 6 | 100.0% | 7.5% | 100.0% | 107.5 | DULL | |
19 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 23 | -7 | 2 | 0.200 | 16 | 29 | 45 | 0 | 0 | 5 | 4 | 7 | 0 | 140 | 41 | 53 | 46 | 0 | 144 | 44 | 74 | 102 | 12 | 2 | 16.67% | 24 | 7 | 70.83% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 124 | 84 | 111 | 33 | 63 | 33 | 46.7% | 11.4% | 84.0% | 95.5 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 37 | 21 | 9 | 7 | 0 | 40 | 12 | 8 | 14 | 6 | 4 | 66.67% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 15 | 23 | 7 | 13 | 6 | 33.3% | 16.2% | 87.5% | 103.7 | FUN | |
21 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 1 | 48 | 13 | 17 | 14 | 4 | 80 | 19 | 16 | 41 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 44 | 32 | 55 | 16 | 23 | 10 | 66.7% | 8.3% | 95.0% | 103.3 | DULL | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 1 | 4 | 0 | 41 | 16 | 10 | 15 | 0 | 27 | 9 | 13 | 19 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 25 | 17 | 22 | 7 | 12 | 6 | 87.5% | 19.5% | 96.3% | 115.8 | LUCKY | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 38 | 18 | 13 | 7 | 0 | 44 | 10 | 8 | 21 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 22 | 16 | 25 | 6 | 11 | 5 | 50.0% | 7.9% | 90.9% | 98.8 | Unlucky | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 23 | 35 | 0 | 1 | 6 | 5 | 1 | 0 | 102 | 33 | 36 | 33 | 0 | 85 | 21 | 13 | 59 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 73 | 50 | 69 | 22 | 37 | 18 | 73.3% | 11.8% | 95.3% | 107.1 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 26 | 7 | 4 | 15 | 0 | 32 | 12 | 17 | 11 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 16 | 25 | 7 | 11 | 5 | 100.0% | 11.5% | 96.9% | 108.4 | LUCKY | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 4 | 0 | 2 | 28 | 6 | 14 | 6 | 9 | 37 | 7 | 10 | 14 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 26 | 18 | 25 | 7 | 13 | 7 | 44.4% | 21.4% | 86.5% | 107.9 | FUN | |
_Vs Division | 9 | 3 | 2 | 0 | 2 | 1 | 1 | 0 | 31 | 22 | 9 | 13 | 0.722 | 31 | 53 | 84 | 0 | 0 | 9 | 9 | 10 | 4 | 316 | 98 | 101 | 107 | 14 | 291 | 82 | 82 | 191 | 36 | 7 | 19.44% | 30 | 7 | 76.67% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 229 | 164 | 216 | 64 | 107 | 54 | 61.5% | 9.8% | 92.4% | 102.2 | LUCKY | |
_Vs Conference | 13 | 6 | 2 | 0 | 2 | 1 | 2 | 0 | 48 | 31 | 17 | 21 | 0.808 | 48 | 83 | 131 | 0 | 0 | 16 | 16 | 12 | 6 | 449 | 134 | 141 | 162 | 23 | 410 | 115 | 125 | 252 | 55 | 12 | 21.82% | 46 | 8 | 82.61% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 330 | 236 | 310 | 94 | 157 | 79 | 61.0% | 10.7% | 92.4% | 103.1 | LUCKY | |
_Since Last GM Reset | 47 | 23 | 16 | 0 | 3 | 1 | 3 | 1 | 168 | 136 | 32 | 60 | 0.638 | 168 | 299 | 467 | 1 | 4 | 58 | 60 | 44 | 10 | 1546 | 491 | 546 | 490 | 42 | 1431 | 415 | 395 | 920 | 197 | 43 | 21.83% | 145 | 23 | 84.14% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 1162 | 816 | 1101 | 337 | 584 | 297 | 52.5% | 10.9% | 90.5% | 101.4 | FUN | |
Total | 47 | 23 | 16 | 0 | 3 | 1 | 3 | 1 | 168 | 136 | 32 | 60 | 0.638 | 168 | 299 | 467 | 1 | 4 | 58 | 60 | 44 | 10 | 1546 | 491 | 546 | 490 | 42 | 1431 | 415 | 395 | 920 | 197 | 43 | 21.83% | 145 | 23 | 84.14% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 1162 | 816 | 1101 | 337 | 584 | 297 | 52.5% | 10.9% | 90.5% | 101.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1734 |
Neutral Zone Start | 741 |
Defensive Zone Start | 1672 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2095 |
Faceoffs Lost | 2052 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 43 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 16 |
Lost | 9 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 197 |
---|---|
PP Goal | 43 |
PK Attempt | 145 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 30.4 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 19.6 |
Shots Blocked | 8.8 |
Pim | 8.4 |
![]() | |
Projected Total Cap Hit | $80,881,650 |
Projected Cap Space | $2,618,350 |
Retains And Buyout Cap Hit | $2,325,000 |
Players In Salary Cap | 23 |
Contracts | 54/55 |
LTIR Players | 0 |
Prospect Count | 12 |
Blackhawks Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks | C/RW | 29 | $900,900 | |||||||
Alex Newhook | C/LW/RW | 24 | $925,000 | $925,000 | $925,000 | |||||
Andrei Kuzmenko | LW/RW | 29 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | ||||
Anthony Duclair | LW/RW | 29 | $3,750,000 | $3,750,000 | ||||||
Brandon Halverson | G | 29 | $1,500,000 | |||||||
Brock Faber | D | 22 | $925,000 | $925,000 | $925,000 | |||||
Chris Tanev | D | 35 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | |||
Filip Forsberg | C/LW/RW | 30 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | ||
Jake Guentzel | C/LW/RW | 30 | $5,500,000 | |||||||
Jesper Boqvist | C/LW/RW | 26 | $1,700,000 | $1,700,000 | ||||||
Juuso Riikola | D | 31 | $800,750 | |||||||
Mackenzie Weegar | D | 31 | $6,250,000 | $6,250,000 | ||||||
Maksim Sushko | RW | 26 | $700,000 | $700,000 | ||||||
Martin Jones | G | 35 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | |||
Mats Zuccarello | LW/RW | 37 | $4,750,000 | |||||||
Matthew Tkachuk | LW/RW | 27 | $11,750,000 | $11,750,000 | $11,750,000 | $11,750,000 | $11,750,000 | |||
Mika Zibanejad | C/RW | 33 | $7,200,000 | $7,200,000 | $7,200,000 | $7,200,000 | $7,200,000 | |||
Otto Somppi | C | 27 | $800,000 | $800,000 | ||||||
Rob O'Gara | D | 31 | $1,895,000 | $1,895,000 | $1,895,000 | $1,895,000 | $1,895,000 | $1,895,000 | ||
Roope Hintz | C/LW | 28 | $5,500,000 | $5,500,000 | $5,500,000 | |||||
Seth Jarvis | C/LW | 23 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | |||
Thomas Vannelli | D | 30 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | ||
Trevor van Riemsdyk | D | 33 | $1,210,000 |
Blackhawks Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Andrew Miller | C/LW/RW | 36 | $700,000 | |||||||
Andrew OBrien | D | 32 | $898,000 | $898,000 | $898,000 | |||||
Carl Lindbom | G | 21 | $925,000 | $925,000 | $925,000 | |||||
Cedric Paquette | C/LW/RW | 31 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | |||
Dakota Joshua | C/RW | 28 | $989,000 | $989,000 | $989,000 | $989,000 | $989,000 | $989,000 | ||
Erik Kallgren | G | 28 | $899,000 | $899,000 | $899,000 | $899,000 | ||||
Filip Lindberg | G | 26 | $1,250,000 | $1,250,000 | $1,250,000 | |||||
Gage Quinney | C/RW | 29 | $985,000 | |||||||
Hunter Brzustewicz | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Hunter Drew | D | 26 | $875,050 | $875,050 | $875,050 | |||||
Ilya Nabokov | G | 22 | $925,000 | $925,000 | $925,000 | |||||
James Malatesta | LW/RW | 21 | $925,000 | |||||||
Joe Snively | C/LW/RW | 29 | $1,855,500 | $1,855,500 | ||||||
Jonas Siegenthaler | D | 28 | $1,400,000 | $1,400,000 | $1,400,000 | |||||
Kevin Rooney | C | 31 | $750,000 | $750,000 | $750,000 | |||||
Kevin Roy | C/LW | 31 | $900,000 | |||||||
Mark Pysyk | D | 33 | $946,840 | $946,840 | ||||||
Matthew Phillips | C/RW | 27 | $1,200,000 | $1,200,000 | ||||||
Maximus Wanner | D | 25 | $925,000 | |||||||
Michael Brodzinski | D | 29 | $987,700 | |||||||
Michael Latta | C/LW/RW | 33 | $700,000 | |||||||
Mikhail Maltsev | C/LW | 27 | $925,000 | |||||||
Miska Kukkonen | D | 24 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||
Nathan Todd | C | 29 | $850,000 | $850,000 | $850,000 | |||||
Nick Schneider | G | 27 | $875,000 | $875,000 | $875,000 | |||||
Radim Zohorna | C/LW/RW | 29 | $925,000 | $925,000 | $925,000 | |||||
Ryan Lomberg | C/LW | 30 | $701,000 | $701,000 | $701,000 | $701,000 | $701,000 | $701,000 | ||
Sam Anas | C/RW | 31 | $1,600,000 | |||||||
Samuel Honzek | C/LW | 20 | $925,000 | |||||||
Trevor Murphy | D | 29 | $888,000 | $888,000 | ||||||
Tucker Poolman | D | 31 | $950,000 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 3 | 6 | 3 | 1 | 107 | 36 | 39 | 31 | 1 | 86 | 31 | 12 | 80 | 13 | 3 | 23.08% | 5 | 1 | 80.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 78 | 56 | 65 | 20 | 36 | 19 | 50.0% | 12.1% | 87.2% | 99.4 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 13 | 11 | 9 | 0 | 36 | 16 | 9 | 14 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 15 | 24 | 6 | 12 | 5 | 16.7% | 9.1% | 86.1% | 95.2 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 30 | 9 | 10 | 11 | 0 | 26 | 7 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 20 | 14 | 27 | 6 | 12 | 5 | 40.0% | 6.7% | 88.5% | 95.1 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 70 | 26 | 20 | 24 | 0 | 52 | 20 | 12 | 38 | 15 | 4 | 26.67% | 6 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 51 | 36 | 43 | 14 | 24 | 13 | 62.5% | 12.9% | 94.2% | 107.1 | LUCKY | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 10 | 16 | 0 | 1 | 2 | 2 | 2 | 0 | 92 | 24 | 45 | 23 | 0 | 88 | 23 | 18 | 54 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 72 | 51 | 69 | 21 | 37 | 18 | 50.0% | 6.5% | 93.2% | 99.7 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 40 | 16 | 13 | 11 | 0 | 23 | 7 | 8 | 18 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 24 | 16 | 22 | 7 | 13 | 6 | 75.0% | 10.0% | 95.7% | 105.7 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 37 | 9 | 13 | 15 | 0 | 21 | 11 | 8 | 24 | 9 | 4 | 44.44% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 26 | 18 | 19 | 7 | 13 | 7 | 50.0% | 16.2% | 90.5% | 106.7 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 29 | 11 | 8 | 10 | 0 | 35 | 19 | 27 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 21 | 14 | 25 | 7 | 12 | 6 | 57.1% | 17.2% | 91.4% | 108.7 | LUCKY | |
9 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 3 | 2 | 2 | 89 | 22 | 30 | 33 | 13 | 77 | 24 | 18 | 55 | 18 | 2 | 11.11% | 9 | 1 | 88.89% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 74 | 50 | 71 | 23 | 38 | 18 | 46.7% | 10.1% | 88.3% | 98.4 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 68 | 24 | 27 | 17 | 0 | 60 | 11 | 8 | 41 | 12 | 2 | 16.67% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 53 | 38 | 40 | 13 | 25 | 13 | 41.7% | 10.3% | 86.7% | 97.0 | FUN | |
11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 2 | 0 | 109 | 38 | 37 | 34 | 0 | 98 | 29 | 24 | 63 | 9 | 1 | 11.11% | 12 | 5 | 58.33% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 71 | 50 | 74 | 20 | 34 | 17 | 72.7% | 8.3% | 91.8% | 100.1 | DULL | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 38 | 17 | 10 | 7 | 8 | 28 | 7 | 8 | 21 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 31 | 22 | 21 | 7 | 12 | 6 | 66.7% | 5.3% | 96.4% | 101.7 | DULL | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 2 | 1 | 48 | 7 | 21 | 18 | 2 | 28 | 8 | 2 | 24 | 9 | 3 | 33.33% | 1 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 28 | 20 | 19 | 7 | 12 | 6 | 37.5% | 12.5% | 82.1% | 94.6 | FUN | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 19 | 31 | 1 | 0 | 4 | 6 | 1 | 1 | 104 | 29 | 43 | 30 | 5 | 108 | 26 | 17 | 60 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 76 | 55 | 70 | 20 | 37 | 18 | 47.6% | 11.5% | 89.8% | 101.4 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 39 | 7 | 9 | 23 | 0 | 27 | 7 | 8 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 27 | 20 | 21 | 6 | 11 | 6 | 60.0% | 10.3% | 92.6% | 102.8 | LUCKY | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 7 | 6 | 19 | 0 | 30 | 10 | 19 | 23 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 28 | 20 | 24 | 6 | 12 | 6 | 0.0% | 6.3% | 90.0% | 96.3 | Unlucky | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 13 | 21 | 0 | 1 | 3 | 2 | 3 | 0 | 81 | 29 | 31 | 21 | 0 | 94 | 19 | 28 | 52 | 6 | 2 | 33.33% | 13 | 2 | 84.62% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 67 | 46 | 76 | 22 | 36 | 17 | 50.0% | 9.9% | 91.5% | 101.4 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 40 | 12 | 17 | 11 | 0 | 25 | 6 | 6 | 19 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 22 | 15 | 25 | 7 | 12 | 6 | 100.0% | 7.5% | 100.0% | 107.5 | DULL | |
19 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 23 | -7 | 2 | 0.200 | 16 | 29 | 45 | 0 | 0 | 5 | 4 | 7 | 0 | 140 | 41 | 53 | 46 | 0 | 144 | 44 | 74 | 102 | 12 | 2 | 16.67% | 24 | 7 | 70.83% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 124 | 84 | 111 | 33 | 63 | 33 | 46.7% | 11.4% | 84.0% | 95.5 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 37 | 21 | 9 | 7 | 0 | 40 | 12 | 8 | 14 | 6 | 4 | 66.67% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 15 | 23 | 7 | 13 | 6 | 33.3% | 16.2% | 87.5% | 103.7 | FUN | |
21 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 1 | 48 | 13 | 17 | 14 | 4 | 80 | 19 | 16 | 41 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 44 | 32 | 55 | 16 | 23 | 10 | 66.7% | 8.3% | 95.0% | 103.3 | DULL | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 1 | 4 | 0 | 41 | 16 | 10 | 15 | 0 | 27 | 9 | 13 | 19 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 25 | 17 | 22 | 7 | 12 | 6 | 87.5% | 19.5% | 96.3% | 115.8 | LUCKY | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 38 | 18 | 13 | 7 | 0 | 44 | 10 | 8 | 21 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 22 | 16 | 25 | 6 | 11 | 5 | 50.0% | 7.9% | 90.9% | 98.8 | Unlucky | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 23 | 35 | 0 | 1 | 6 | 5 | 1 | 0 | 102 | 33 | 36 | 33 | 0 | 85 | 21 | 13 | 59 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 73 | 50 | 69 | 22 | 37 | 18 | 73.3% | 11.8% | 95.3% | 107.1 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 26 | 7 | 4 | 15 | 0 | 32 | 12 | 17 | 11 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 23 | 16 | 25 | 7 | 11 | 5 | 100.0% | 11.5% | 96.9% | 108.4 | LUCKY | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 4 | 0 | 2 | 28 | 6 | 14 | 6 | 9 | 37 | 7 | 10 | 14 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 26 | 18 | 25 | 7 | 13 | 7 | 44.4% | 21.4% | 86.5% | 107.9 | FUN | |
_Vs Division | 9 | 3 | 2 | 0 | 2 | 1 | 1 | 0 | 31 | 22 | 9 | 13 | 0.722 | 31 | 53 | 84 | 0 | 0 | 9 | 9 | 10 | 4 | 316 | 98 | 101 | 107 | 14 | 291 | 82 | 82 | 191 | 36 | 7 | 19.44% | 30 | 7 | 76.67% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 229 | 164 | 216 | 64 | 107 | 54 | 61.5% | 9.8% | 92.4% | 102.2 | LUCKY | |
_Vs Conference | 13 | 6 | 2 | 0 | 2 | 1 | 2 | 0 | 48 | 31 | 17 | 21 | 0.808 | 48 | 83 | 131 | 0 | 0 | 16 | 16 | 12 | 6 | 449 | 134 | 141 | 162 | 23 | 410 | 115 | 125 | 252 | 55 | 12 | 21.82% | 46 | 8 | 82.61% | 0 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 330 | 236 | 310 | 94 | 157 | 79 | 61.0% | 10.7% | 92.4% | 103.1 | LUCKY | |
_Since Last GM Reset | 47 | 23 | 16 | 0 | 3 | 1 | 3 | 1 | 168 | 136 | 32 | 60 | 0.638 | 168 | 299 | 467 | 1 | 4 | 58 | 60 | 44 | 10 | 1546 | 491 | 546 | 490 | 42 | 1431 | 415 | 395 | 920 | 197 | 43 | 21.83% | 145 | 23 | 84.14% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 1162 | 816 | 1101 | 337 | 584 | 297 | 52.5% | 10.9% | 90.5% | 101.4 | FUN | |
Total | 47 | 23 | 16 | 0 | 3 | 1 | 3 | 1 | 168 | 136 | 32 | 60 | 0.638 | 168 | 299 | 467 | 1 | 4 | 58 | 60 | 44 | 10 | 1546 | 491 | 546 | 490 | 42 | 1431 | 415 | 395 | 920 | 197 | 43 | 21.83% | 145 | 23 | 84.14% | 1 | 868 | 1734 | 50.06% | 846 | 1672 | 50.60% | 381 | 741 | 51.42% | 1162 | 816 | 1101 | 337 | 584 | 297 | 52.5% | 10.9% | 90.5% | 101.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1734 |
Neutral Zone Start | 741 |
Defensive Zone Start | 1672 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2095 |
Faceoffs Lost | 2052 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 43 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 16 |
Lost | 9 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 197 |
---|---|
PP Goal | 43 |
PK Attempt | 145 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 30.4 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 19.6 |
Shots Blocked | 8.8 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Mar 21 | @ | BUF0,CHI3 | RECAP | |||||||||||
Sat, Mar 22 | @ | CHI3,SJS1 | RECAP | |||||||||||
Tue, Mar 25 | @ | CHI2,WSH6 | RECAP | |||||||||||
Wed, Mar 26 | @ | CHI6,NYR2 | RECAP | |||||||||||
Fri, Mar 28 | @ | QUE5,CHI3 | RECAP | |||||||||||
Mon, Mar 31 | @ | CHI5,MIN3 | RECAP | |||||||||||
Tue, Apr 1 | @ | CHI4,PIT1 | RECAP | |||||||||||
Thu, Apr 3 | @ | QUE6,CHI3 | RECAP | |||||||||||
Sun, Apr 6 | @ | HAR3,CHI1 | RECAP | |||||||||||
Tue, Apr 8 | @ | CHI3,BOS1 | RECAP | |||||||||||
Thu, Apr 10 | @ | OTT3,CHI2 | RECAP | |||||||||||
Fri, Apr 11 | @ | CHI5,MTL3 | RECAP | |||||||||||
Sun, Apr 13 | @ | CHI4,PIT3 | RECAP | |||||||||||
Tue, Apr 15 | @ | WSH2,CHI5 | RECAP | |||||||||||
Sat, Apr 19 | @ | MTL4,CHI3 (SO) | RECAP | |||||||||||
Mon, Apr 21 | @ | CHI4,NYI2 | RECAP | |||||||||||
Wed, Apr 23 | @ | CHI3,NJD5 | RECAP | |||||||||||
Thu, Apr 24 | @ | QUE6,CHI5 | RECAP | |||||||||||
Sun, Apr 27 | @ | CHI2,QUE4 | RECAP | |||||||||||
Mon, Apr 28 | @ | COL1,CHI2 (SO) | RECAP | |||||||||||
Thu, May 1 | @ | MIN2,CHI3 | RECAP | |||||||||||
Mon, May 5 | @ | CHI2,BOS0 | RECAP | |||||||||||
Tue, May 6 | @ | EDM2,CHI4 | RECAP | |||||||||||
Fri, May 9 | @ | PIT0,CHI4 | RECAP | |||||||||||
Mon, May 12 | @ | QUE2,CHI3 | RECAP | |||||||||||
Thu, May 15 | @ | CHI1,MIN3 | RECAP | |||||||||||
Sat, May 17 | @ | WPG1,CHI0 | RECAP | |||||||||||
Mon, May 19 | @ | CHI4,HAR0 | RECAP | |||||||||||
Wed, May 21 | @ | NSH5,CHI6 (OT) | RECAP | |||||||||||
Fri, May 23 | @ | CHI4,VAN1 | RECAP | |||||||||||
Sun, May 25 | @ | CHI4,WPG3 (OT) | RECAP | |||||||||||
Tue, May 27 | @ | DET3,CHI5 | RECAP | |||||||||||
Fri, May 30 | @ | TBL2,CHI4 | RECAP | |||||||||||
Sun, Jun 1 | @ | CHI5,TBL4 (SO) | RECAP | |||||||||||
Thu, Jun 5 | @ | BOS7,CHI3 | RECAP | |||||||||||
Sat, Jun 7 | @ | CHI6,CBJ5 | RECAP | |||||||||||
Sun, Jun 8 | @ | CHI1,MTL2 | RECAP | |||||||||||
Tue, Jun 10 | @ | SEA5,CHI6 (SO) | RECAP | |||||||||||
Thu, Jun 12 | @ | PHI3,CHI4 (OT) | RECAP | |||||||||||
Sun, Jun 15 | @ | CHI3,TBL5 | RECAP | |||||||||||
Tue, Jun 17 | @ | DAL1,CHI8 | RECAP | |||||||||||
Thu, Jun 19 | @ | CHI7,PHI2 | RECAP | |||||||||||
Sat, Jun 21 | @ | CHI5,NYI1 | RECAP | |||||||||||
Sun, Jun 22 | @ | HAR3,CHI1 | RECAP | |||||||||||
Thu, Jun 26 | @ | CHI2,STL3 (OT) | RECAP | |||||||||||
Fri, Jun 27 | @ | PHI6,CHI2 | RECAP | |||||||||||
Mon, Jun 30 | @ | CHI3,TOR4 | RECAP | |||||||||||
Wed, Jul 2 | @ | |||||||||||||
Fri, Jul 4 | @ | |||||||||||||
Sun, Jul 6 | @ | |||||||||||||
Wed, Jul 9 | @ | |||||||||||||
Fri, Jul 11 | @ | |||||||||||||
Sun, Jul 13 | @ | |||||||||||||
Tue, Jul 15 | @ | |||||||||||||
Fri, Jul 18 | @ | |||||||||||||
Sat, Jul 19 | @ | |||||||||||||
Tue, Jul 22 | @ | |||||||||||||
Thu, Jul 24 | @ | |||||||||||||
Sat, Jul 26 | @ | |||||||||||||
Mon, Jul 28 | @ | |||||||||||||
Thu, Jul 31 | @ | |||||||||||||
Sat, Aug 2 | @ | |||||||||||||
Tue, Aug 5 | @ | |||||||||||||
Wed, Aug 6 | @ | |||||||||||||
Sun, Aug 10 | @ | |||||||||||||
Tue, Aug 12 | @ | |||||||||||||
Fri, Aug 15 | @ | |||||||||||||
Sun, Aug 17 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Aug 18 | @ | |||||||||||||
Wed, Aug 20 | @ | |||||||||||||
Fri, Aug 22 | @ | |||||||||||||
Sun, Aug 24 | @ | |||||||||||||
Wed, Aug 27 | @ | |||||||||||||
Fri, Aug 29 | @ | |||||||||||||
Mon, Sep 1 | @ | |||||||||||||
Tue, Sep 2 | @ | |||||||||||||
Sun, Sep 7 | @ | |||||||||||||
Tue, Sep 9 | @ | |||||||||||||
Thu, Sep 11 | @ | |||||||||||||
Sat, Sep 13 | @ | |||||||||||||
Sun, Sep 14 | @ | |||||||||||||
Tue, Sep 23 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,556,650$ | 2,325,000$ | 80,881,650$ | 2,618,350$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 116974 | 105991 | 37695 | 76086 | 18956 |
Attendance PCT | 84.76% | 83.79% | 81.95% | 82.70% | 82.42% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 15465 - 83.60% | 1,673,135$ | 38,482,104$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,556,650$ | 78,556,650$ | 0$ | 2,325,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
43,172,743$ | 78,556,650$ | 43,172,743$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
30,116,429$ | 85 | 415,644$ | 35,329,740$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
36,629,423$ | 80,881,650$ | 70,391,218$ | 66,863,136$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
---|---|---|---|
16 | ![]() ![]() | ![]() ![]() ![]() | |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Hampton Slukynsky | 13 | 59 | |||
Jakub Dvorak | 13 | 46 | |||
Jordan Gustafson | 12 | 60 | |||
Justin Ertel | 10 | 64 | |||
Kalle Kangas | 15 | 89 | |||
Maxim Strbak | 14 | 26 | |||
Owen Pickering | 12 | 27 | |||
Samu Salminen | 9 | 49 | |||
Sergei Ivanov | 12 | 90 | |||
Thomas Milic | 14 | 38 | |||
Tyler Thorpe | 15 | 57 | |||
Zeb Forsfjall | 15 | 86 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
---|---|---|---|
16 | ![]() ![]() | ![]() ![]() ![]() | |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Hampton Slukynsky | 13 | 59 | |||
Jakub Dvorak | 13 | 46 | |||
Jordan Gustafson | 12 | 60 | |||
Justin Ertel | 10 | 64 | |||
Kalle Kangas | 15 | 89 | |||
Maxim Strbak | 14 | 26 | |||
Owen Pickering | 12 | 27 | |||
Samu Salminen | 9 | 49 | |||
Sergei Ivanov | 12 | 90 | |||
Thomas Milic | 14 | 38 | |||
Tyler Thorpe | 15 | 57 | |||
Zeb Forsfjall | 15 | 86 |
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