|
|
|
|
|
|
|
|
Full Scoreboard »» |
Detroit Red Wings 28-18-2, 58pts · 4th in EASTERN 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | LW/RW | 100% | 6' 5" | 215 | 27 | Apr 19, 1998 | $14,000,000/4yrs | 95 | 83 | 59 | 99 | 87 | 66 | 83 | 98 | 25 | 94 | 98 | 85 | 94 | 93 | 99 | 63 | 70 | 85 | |
0 | ![]() | C/LW | 100% | 6' 5" | 214 | 29 | Jun 06, 1995 | $7,250,000/4yrs | 95 | 84 | 56 | 85 | 86 | 77 | 83 | 95 | 79 | 89 | 87 | 92 | 80 | 99 | 99 | 51 | 77 | 83 | |
0 | ![]() | C/RW | 100% | 6' 0" | 180 | 28 | May 05, 1997 | $6,500,000/4yrs | 87 | 72 | 65 | 99 | 68 | 76 | 81 | 92 | 84 | 96 | 83 | 81 | 85 | 99 | 99 | 58 | 77 | 82 | |
0 | ![]() | C/W | 100% | 5' 9" | 183 | 32 | Mar 21, 1993 | $6,250,000/4yrs | 53 | 32 | 93 | 93 | 66 | 76 | 76 | 89 | 25 | 88 | 87 | 86 | 79 | 99 | 99 | 39 | 67 | 80 | |
0 | ![]() | C/RW | 100% | 6' 2" | 193 | 29 | Nov 06, 1995 | $5,250,000/5yrs | 62 | 52 | 95 | 86 | 75 | 77 | 92 | 87 | 61 | 86 | 88 | 69 | 66 | 89 | 90 | 46 | 77 | 78 | |
0 | ![]() | C/W | 100% | 5' 8" | 185 | 34 | Jul 29, 1990 | $4,000,000/3yrs | 60 | 42 | 83 | 91 | 66 | 82 | 76 | 87 | 84 | 87 | 76 | 69 | 83 | 99 | 99 | 8 | 74 | 77 | |
0 | ![]() | C/W | 100% | 6' 3" | 216 | 25 | Aug 16, 1999 | $3,437,500/2yrs | 61 | 41 | 90 | 99 | 85 | 74 | 72 | 91 | 44 | 75 | 91 | 66 | 57 | 62 | 63 | 75 | 77 | 75 | |
0 | ![]() | LW/RW | 100% | 6' 0" | 205 | 28 | Jul 22, 1996 | $2,500,000/5yrs | 58 | 41 | 88 | 87 | 77 | 74 | 91 | 77 | 31 | 81 | 82 | 67 | 37 | 87 | 88 | 51 | 76 | 74 | |
0 | ![]() | C/RW | 100% | 6' 5" | 220 | 28 | Sep 27, 1996 | $750,000/3yrs | 95 | 88 | 57 | 84 | 89 | 75 | 84 | 78 | 70 | 64 | 68 | 82 | 44 | 88 | 88 | 50 | 71 | 74 | |
0 | ![]() | C/RW | 100% | 6' 2" | 183 | 24 | Apr 25, 2001 | $1,000,000/1yrs | 51 | 46 | 93 | 91 | 71 | 90 | 95 | 81 | 68 | 76 | 76 | 78 | 68 | 63 | 63 | 73 | 47 | 74 | |
0 | ![]() | LW/RW | 100% | 5' 10" | 184 | 29 | Apr 04, 1996 | $700,000/3yrs | 69 | 42 | 88 | 88 | 67 | 74 | 94 | 77 | 38 | 68 | 87 | 74 | 25 | 85 | 84 | 56 | 70 | 73 | |
0 | ![]() | C/W | 100% | 6' 4" | 215 | 26 | May 11, 1999 | $900,000/2yrs | 74 | 73 | 71 | 93 | 86 | 77 | 95 | 72 | 69 | 65 | 71 | 81 | 70 | 73 | 69 | 72 | 74 | 73 | |
0 | ![]() | D | 100% | 6' 1" | 210 | 35 | Dec 08, 1989 | $8,750,000/5yrs | 80 | 55 | 76 | 95 | 80 | 89 | 85 | 98 | 25 | 94 | 86 | 76 | 68 | 99 | 99 | 12 | 77 | 83 | |
0 | ![]() | D | 100% | 6' 2" | 190 | 34 | Jul 06, 1990 | $5,500,000/1yrs | 64 | 37 | 91 | 85 | 74 | 82 | 80 | 95 | 25 | 97 | 84 | 84 | 67 | 99 | 99 | 15 | 64 | 81 | |
0 | ![]() | D | 100% | 6' 5" | 220 | 29 | May 21, 1995 | $3,500,000/3yrs | 82 | 64 | 68 | 81 | 89 | 71 | 91 | 74 | 25 | 58 | 50 | 93 | 75 | 90 | 90 | 51 | 77 | 77 | |
0 | ![]() | D | 100% | 6' 3" | 204 | 25 | Apr 13, 2000 | $3,500,000/4yrs | 71 | 42 | 83 | 99 | 80 | 86 | 90 | 89 | 25 | 86 | 67 | 69 | 60 | 81 | 81 | 75 | 77 | 77 | |
0 | ![]() | D | 100% | 6' 1" | 187 | 28 | May 03, 1997 | $700,000/3yrs | 57 | 37 | 90 | 78 | 71 | 73 | 74 | 88 | 25 | 81 | 78 | 81 | 60 | 91 | 94 | 63 | 42 | 74 | |
0 | ![]() | D | 100% | 5' 11" | 191 | 30 | Nov 13, 1994 | $2,000,000/3yrs | 66 | 23 | 92 | 78 | 71 | 71 | 50 | 91 | 25 | 86 | 81 | 81 | 58 | 89 | 84 | 44 | 74 | 74 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C/RW | 100% | 5' 11" | 176 | 28 | May 24, 1996 | $1,450,000/4yrs | 57 | 41 | 95 | 80 | 65 | 93 | 83 | 79 | 79 | 79 | 83 | 73 | 25 | 67 | 67 | 47 | 66 | 73 | |
0 | ![]() | D | 100% | 6' 4" | 200 | 29 | Jan 21, 1996 | $1,687,567/4yrs | 88 | 79 | 64 | 79 | 80 | 72 | 71 | 70 | 25 | 56 | 53 | 85 | 57 | 99 | 97 | 56 | 59 | 74 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
64 | ![]() | G | 100% | 6' 3" | 223 | 32 | Jul 31, 1992 | $1,000,000/4yrs | 85 | 77 | 75 | 88 | 83 | 90 | 93 | 90 | 90 | 80 | 77 | 95 | 99 | 33 | 78 | 86 | |
33 | ![]() | G | 100% | 6' 4" | 205 | 32 | Aug 19, 1992 | $1,650,000/4yrs | 79 | 76 | 83 | 82 | 81 | 93 | 91 | 93 | 94 | 80 | 85 | 95 | 99 | 31 | 78 | 86 | |
Scratches |
General Manager | Matt Keron |
---|
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 | Patrik Laine | 0 | LW/RW | 45 | 24 | 28 | 52 | 7 | 61 | 5 | 107 | 178 | 45 | 122 | 13.48% | 12 | 18.19 | 7 | 9 | 16 | 134 | 0 | 0 | 0 | 45 | 3 | 1 | 29.20% | 137 | 0 | 0 | 0 | 2 | 1.27 | 0 | 0 | |
2 | Mitch Marner | 0 | C/RW | 48 | 13 | 34 | 47 | 9 | 20 | 0 | 62 | 141 | 41 | 109 | 9.22% | 11 | 18.86 | 1 | 10 | 11 | 146 | 1 | 0 | 1 | 49 | 5 | 0 | 52.43% | 1175 | 0 | 0 | 0 | 0 | 1.04 | 0 | 2 | |
3 | Sven Andrighetto | 0 | C/LW/RW | 47 | 17 | 21 | 38 | -2 | 2 | 0 | 2 | 154 | 29 | 93 | 11.04% | 10 | 18.13 | 3 | 6 | 9 | 140 | 0 | 0 | 0 | 51 | 4 | 1 | 26.56% | 128 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | |
4 | Drew Doughty | 0 | D | 48 | 12 | 23 | 35 | -3 | 50 | 0 | 120 | 101 | 30 | 62 | 11.88% | 65 | 24.53 | 8 | 6 | 14 | 146 | 1 | 1 | 2 | 151 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
5 | Victor Ejdsell | 0 | C/LW | 48 | 13 | 17 | 30 | -9 | 45 | 5 | 135 | 155 | 48 | 127 | 8.39% | 13 | 18.42 | 5 | 8 | 13 | 142 | 0 | 0 | 0 | 113 | 0 | 2 | 51.68% | 1041 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
6 | Sam Reinhart | 0 | C/RW | 48 | 13 | 16 | 29 | 2 | 0 | 0 | 8 | 128 | 32 | 93 | 10.16% | 6 | 18.83 | 2 | 6 | 8 | 150 | 0 | 0 | 0 | 114 | 3 | 1 | 37.93% | 290 | 0 | 0 | 0 | 0 | 0.64 | 2 | 2 | |
7 | Ryan Graves | 0 | D | 48 | 9 | 18 | 27 | 2 | 50 | 0 | 146 | 61 | 18 | 37 | 14.75% | 74 | 20.90 | 3 | 3 | 6 | 148 | 0 | 0 | 0 | 119 | 3 | 3 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
8 | Gabriel Vilardi | 0 | C/LW/RW | 48 | 9 | 17 | 26 | -1 | 5 | 5 | 10 | 131 | 46 | 95 | 6.87% | 8 | 15.05 | 2 | 6 | 8 | 148 | 0 | 0 | 0 | 0 | 1 | 0 | 31.75% | 63 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
9 | Sean Walker | 0 | D | 46 | 4 | 22 | 26 | 0 | 16 | 0 | 41 | 55 | 16 | 30 | 7.27% | 41 | 17.00 | 1 | 5 | 6 | 91 | 0 | 0 | 0 | 56 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
10 | Tyler Johnson | 0 | C/LW/RW | 48 | 8 | 15 | 23 | 5 | 19 | 5 | 7 | 70 | 13 | 44 | 11.43% | 4 | 11.56 | 1 | 1 | 2 | 6 | 0 | 0 | 0 | 0 | 2 | 2 | 50.40% | 625 | 0 | 0 | 0 | 0 | 0.83 | 2 | 2 | |
11 | Justin Schultz | 0 | D | 43 | 4 | 16 | 20 | -7 | 16 | 0 | 37 | 50 | 10 | 30 | 8.00% | 58 | 19.94 | 1 | 4 | 5 | 54 | 0 | 2 | 2 | 141 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
12 | Rasmus Dahlin | 0 | D | 48 | 5 | 11 | 16 | 1 | 28 | 0 | 43 | 62 | 21 | 36 | 8.06% | 52 | 20.94 | 3 | 4 | 7 | 150 | 0 | 0 | 0 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
13 | Alexander Dergachyov | 0 | C/RW | 48 | 5 | 10 | 15 | 0 | 76 | 10 | 106 | 59 | 12 | 43 | 8.47% | 16 | 13.24 | 1 | 1 | 2 | 14 | 0 | 0 | 0 | 127 | 1 | 0 | 48.17% | 164 | 0 | 0 | 1 | 0 | 0.47 | 0 | 0 | |
14 | Kevin Fiala | 0 | LW/RW | 43 | 4 | 7 | 11 | -10 | 0 | 0 | 8 | 42 | 12 | 35 | 9.52% | 3 | 9.52 | 0 | 2 | 2 | 9 | 0 | 0 | 0 | 23 | 1 | 0 | 34.33% | 67 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
15 | Pius Suter | 0 | C/RW | 40 | 5 | 3 | 8 | -13 | 2 | 0 | 12 | 41 | 12 | 21 | 12.20% | 3 | 8.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.52% | 282 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
16 | Andrew Mangiapane | 0 | LW/RW | 42 | 3 | 4 | 7 | -10 | 12 | 0 | 28 | 36 | 30 | 34 | 8.33% | 5 | 9.76 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 39.29% | 28 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Colton White | 0 | D | 22 | 1 | 5 | 6 | 0 | 0 | 0 | 13 | 12 | 5 | 3 | 8.33% | 24 | 17.29 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
18 | Cole Schwindt | 0 | C/RW | 31 | 4 | 2 | 6 | -4 | 0 | 0 | 2 | 27 | 14 | 22 | 14.81% | 3 | 10.35 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 24 | 0 | 0 | 43.53% | 170 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
19 | Andreas Englund | 0 | D | 33 | 0 | 5 | 5 | -6 | 56 | 0 | 84 | 11 | 4 | 8 | 0.00% | 33 | 17.58 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
20 | Adam Ruzicka | 0 | C/LW/RW | 40 | 3 | 2 | 5 | 6 | 12 | 0 | 22 | 44 | 13 | 42 | 6.82% | 5 | 14.58 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 108 | 0 | 1 | 42.34% | 111 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
Team Total or Average | 864 | 156 | 276 | 432 | -33 | 470 | 30 | 993 | 1558 | 451 | 1086 | 10.01% | 446 | 16.34 | 39 | 71 | 110 | 1498 | 3 | 3 | 6 | 1327 | 26 | 12 | 47.68% | 4281 | 0 | 0 | 1 | 2 | 0.61 | 4 | 6 |
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 | David Rittich | 35 | 35 | 20 | 14 | 1 | 0.899 | 3.29 | -18.3 | 2119 | 8 | 1 | 116 | 1150 | 0 | 4 | 2 | 1.000 | 4 | 35 | 13 | 3 | 0 | 0 | |
2 | Kristers Gudlevskis | 13 | 13 | 8 | 4 | 1 | 0.914 | 2.83 | -0.6 | 785 | 2 | 0 | 37 | 428 | 0 | 0 | 1 | 0.000 | 0 | 13 | 35 | 1 | 1 | 0 | |
Team Total or Average | 48 | 48 | 28 | 18 | 2 | 0.903 | 3.16 | 2905 | 10 | 1 | 153 | 1578 | 0 | 4 | 3 | 1.000 | 4 | 48 | 48 | 4 | 1 | 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 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 20 | 30 | 0 | 0 | 3 | 5 | 1 | 1 | 109 | 20 | 55 | 33 | 1 | 79 | 21 | 29 | 51 | 16 | 3 | 18.75% | 11 | 1 | 90.91% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 76 | 54 | 67 | 21 | 36 | 19 | 58.3% | 9.2% | 92.4% | 101.6 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 29 | 12 | 11 | 6 | 0 | 36 | 11 | 14 | 20 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 23 | 15 | 24 | 8 | 12 | 6 | 50.0% | 10.3% | 88.9% | 99.2 | FUN | |
3 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 2 | 3 | 2 | 2 | 55 | 20 | 16 | 16 | 6 | 71 | 23 | 14 | 49 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 33 | 55 | 14 | 24 | 11 | 53.8% | 14.5% | 88.7% | 103.3 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 13 | 10 | 10 | 0 | 43 | 11 | 8 | 19 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 14 | 26 | 7 | 12 | 5 | 50.0% | 12.1% | 93.0% | 105.1 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 1 | 6 | 2 | 2 | 91 | 30 | 33 | 27 | 4 | 102 | 19 | 12 | 84 | 16 | 4 | 25.00% | 6 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 72 | 49 | 74 | 22 | 38 | 19 | 40.0% | 11.0% | 91.2% | 102.2 | LUCKY | |
6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 104 | 31 | 40 | 33 | 0 | 107 | 33 | 24 | 55 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 65 | 44 | 76 | 22 | 38 | 18 | 50.0% | 8.7% | 91.6% | 100.2 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 37 | 17 | 12 | 8 | 0 | 25 | 7 | 6 | 17 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 27 | 20 | 21 | 6 | 11 | 6 | 33.3% | 8.1% | 92.0% | 100.1 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 41 | 11 | 14 | 16 | 0 | 47 | 7 | 10 | 21 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 24 | 18 | 24 | 6 | 10 | 5 | 33.3% | 4.9% | 89.4% | 94.2 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 65 | 26 | 18 | 21 | 0 | 65 | 16 | 18 | 51 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 47 | 32 | 46 | 14 | 25 | 12 | 44.4% | 7.7% | 87.7% | 95.4 | Unlucky | |
10 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 4 | 1 | 114 | 45 | 35 | 32 | 2 | 106 | 34 | 32 | 54 | 15 | 5 | 33.33% | 16 | 2 | 87.50% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 69 | 48 | 76 | 22 | 38 | 18 | 42.9% | 9.6% | 90.6% | 100.2 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 0 | 46 | 11 | 20 | 15 | 0 | 36 | 8 | 10 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 22 | 15 | 25 | 7 | 12 | 5 | 100.0% | 13.0% | 97.2% | 110.3 | LUCKY | |
12 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 5 | 0 | 1 | 0 | 61 | 24 | 19 | 14 | 4 | 78 | 26 | 22 | 44 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 42 | 28 | 56 | 15 | 25 | 12 | 41.7% | 9.8% | 88.5% | 98.3 | FUN | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 4 | 3 | 0 | 62 | 17 | 19 | 26 | 0 | 64 | 18 | 14 | 49 | 10 | 4 | 40.00% | 7 | 2 | 71.43% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 32 | 47 | 13 | 25 | 13 | 62.5% | 14.5% | 92.2% | 106.7 | LUCKY | |
14 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 1 | 3 | 2 | 1 | 120 | 36 | 49 | 31 | 4 | 108 | 35 | 32 | 53 | 14 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 71 | 49 | 76 | 21 | 36 | 18 | 43.8% | 5.8% | 89.8% | 95.6 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 6 | 17 | 7 | 0 | 28 | 10 | 6 | 18 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 26 | 19 | 20 | 6 | 13 | 6 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 36 | 12 | 10 | 14 | 0 | 36 | 16 | 4 | 28 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 24 | 17 | 23 | 6 | 12 | 6 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 0 | 2 | 0 | 35 | 6 | 17 | 12 | 0 | 29 | 10 | 47 | 13 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 25 | 18 | 21 | 7 | 12 | 6 | 42.9% | 8.6% | 82.8% | 91.3 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 17 | 6 | 7 | 4 | 0 | 35 | 8 | 12 | 23 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 14 | 26 | 6 | 12 | 6 | 33.3% | 11.8% | 88.6% | 100.3 | FUN | |
19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 2 | 4 | 5 | 1 | 80 | 22 | 25 | 26 | 7 | 61 | 11 | 12 | 34 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 51 | 37 | 45 | 14 | 26 | 12 | 52.6% | 15.0% | 85.2% | 100.2 | FUN | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.333 | 5 | 7 | 12 | 1 | 0 | 2 | 1 | 2 | 0 | 87 | 28 | 29 | 30 | 0 | 97 | 26 | 59 | 57 | 5 | 1 | 20.00% | 22 | 4 | 81.82% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 70 | 49 | 75 | 20 | 33 | 16 | 40.0% | 5.7% | 89.7% | 95.4 | Unlucky | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 4 | 6 | 1 | 0 | 95 | 31 | 38 | 26 | 0 | 94 | 21 | 30 | 64 | 14 | 2 | 14.29% | 10 | 2 | 80.00% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 77 | 55 | 66 | 20 | 36 | 18 | 47.4% | 11.6% | 87.2% | 98.8 | FUN | |
22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 5 | 0 | 90 | 29 | 32 | 29 | 0 | 87 | 24 | 22 | 61 | 18 | 4 | 22.22% | 9 | 2 | 77.78% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 73 | 51 | 70 | 21 | 35 | 18 | 50.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
23 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 57 | 19 | 29 | 8 | 1 | 51 | 18 | 12 | 36 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 45 | 32 | 51 | 14 | 25 | 11 | 50.0% | 10.5% | 88.2% | 98.8 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 7 | 3 | 3 | 0 | 41 | 7 | 12 | 28 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 15 | 26 | 7 | 11 | 5 | 50.0% | 7.7% | 95.1% | 102.8 | DULL | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 1.000 | 13 | 24 | 37 | 0 | 0 | 4 | 5 | 4 | 0 | 51 | 13 | 25 | 13 | 0 | 55 | 26 | 19 | 43 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 32 | 47 | 13 | 25 | 12 | 64.7% | 25.5% | 87.3% | 112.8 | FUN | |
_Vs Division | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 21 | 18 | 3 | 8 | 0.571 | 21 | 39 | 60 | 0 | 1 | 8 | 5 | 7 | 1 | 219 | 67 | 93 | 58 | 1 | 229 | 71 | 52 | 145 | 17 | 3 | 17.65% | 26 | 3 | 88.46% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 161 | 113 | 172 | 49 | 87 | 42 | 54.5% | 9.6% | 92.1% | 101.7 | LUCKY | |
_Vs Conference | 16 | 6 | 5 | 0 | 2 | 1 | 2 | 0 | 57 | 50 | 7 | 21 | 0.656 | 57 | 96 | 153 | 0 | 1 | 17 | 20 | 16 | 6 | 511 | 168 | 190 | 141 | 18 | 524 | 142 | 110 | 349 | 56 | 13 | 23.21% | 53 | 7 | 86.79% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 381 | 267 | 393 | 116 | 201 | 98 | 50.6% | 11.2% | 90.5% | 101.6 | FUN | |
_Since Last GM Reset | 48 | 21 | 18 | 0 | 5 | 2 | 2 | 0 | 158 | 156 | 2 | 58 | 0.604 | 158 | 276 | 434 | 3 | 1 | 49 | 53 | 49 | 9 | 1558 | 492 | 583 | 460 | 29 | 1581 | 446 | 480 | 993 | 183 | 39 | 21.31% | 195 | 34 | 82.56% | 3 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 1143 | 799 | 1172 | 345 | 595 | 296 | 49.4% | 10.1% | 90.1% | 100.3 | FUN | |
Total | 48 | 21 | 18 | 0 | 5 | 2 | 2 | 0 | 158 | 156 | 2 | 58 | 0.604 | 158 | 276 | 434 | 3 | 1 | 49 | 53 | 49 | 9 | 1558 | 492 | 583 | 460 | 29 | 1581 | 446 | 480 | 993 | 183 | 39 | 21.31% | 195 | 34 | 82.56% | 3 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 1143 | 799 | 1172 | 345 | 595 | 296 | 49.4% | 10.1% | 90.1% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1729 |
Neutral Zone Start | 743 |
Defensive Zone Start | 1765 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2041 |
Faceoffs Lost | 2196 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 113 |
---|---|
PP Goal | 39 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 16 | 12 |
Lost | 7 | 11 |
Overtime Lost | 0 | 2 |
PP Attempt | 183 |
---|---|
PP Goal | 39 |
PK Attempt | 195 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 32.9 |
Goals For | 3.3 |
Goals Against | 3.3 |
Hits | 20.7 |
Shots Blocked | 9.3 |
Pim | 10.0 |
![]() | |
Projected Total Cap Hit | $83,350,067 |
Projected Cap Space | $149,933 |
Retains And Buyout Cap Hit | $1,075,000 |
Players In Salary Cap | 22 |
Contracts | 49/55 |
LTIR Players | 0 |
Prospect Count | 20 |
Red Wings Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka | C/LW/RW | 26 | $900,000 | $900,000 | ||||||
Alexander Dergachyov | C/RW | 28 | $750,000 | $750,000 | $750,000 | |||||
Andreas Englund | D | 29 | $1,687,567 | $1,687,567 | $1,687,567 | $1,687,567 | ||||
Andrew Mangiapane | LW/RW | 29 | $700,000 | $700,000 | $700,000 | |||||
Cole Schwindt | C/RW | 24 | $1,000,000 | |||||||
Colton White | D | 28 | $700,000 | $700,000 | $700,000 | |||||
David Rittich | G | 32 | $1,650,000 | $1,650,000 | $1,650,000 | $1,650,000 | ||||
Drew Doughty | D | 35 | $8,750,000 | $8,750,000 | $8,750,000 | $8,750,000 | $8,750,000 | |||
Gabriel Vilardi | C/LW/RW | 25 | $3,437,500 | $3,437,500 | ||||||
Justin Schultz | D | 34 | $5,500,000 | |||||||
Kevin Fiala | LW/RW | 28 | $2,500,000 | $2,500,000 | $2,500,000 | $2,500,000 | $2,500,000 | |||
Kristers Gudlevskis | G | 32 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||||
Mitch Marner | C/RW | 28 | $6,500,000 | $6,500,000 | $6,500,000 | $6,500,000 | ||||
Patrik Laine | LW/RW | 27 | $14,000,000 | $14,000,000 | $14,000,000 | $14,000,000 | ||||
Pius Suter | C/RW | 28 | $1,450,000 | $1,450,000 | $1,450,000 | $1,450,000 | ||||
Rasmus Dahlin | D | 25 | $3,500,000 | $3,500,000 | $3,500,000 | $3,500,000 | ||||
Ryan Graves | D | 29 | $3,500,000 | $3,500,000 | $3,500,000 | |||||
Sam Reinhart | C/RW | 29 | $5,250,000 | $5,250,000 | $5,250,000 | $5,250,000 | $5,250,000 | |||
Sean Walker | D | 30 | $2,000,000 | $2,000,000 | $2,000,000 | |||||
Sven Andrighetto | C/LW/RW | 32 | $6,250,000 | $6,250,000 | $6,250,000 | $6,250,000 | ||||
Tyler Johnson | C/LW/RW | 34 | $4,000,000 | $4,000,000 | $4,000,000 | |||||
Victor Ejdsell | C/LW | 29 | $7,250,000 | $7,250,000 | $7,250,000 | $7,250,000 |
Red Wings Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Anton Cederholm | D | 30 | $700,000 | |||||||
Chris Casto | D | 33 | $700,000 | |||||||
Giovanni Vallati | D | 25 | $700,000 | |||||||
Hampus Gustafsson | C/LW | 31 | $850,000 | |||||||
Hunter Miska | G | 29 | $750,000 | |||||||
Jack Lafontaine | G | 27 | $875,000 | $875,000 | $875,000 | |||||
Joel Vermin | RW | 33 | $800,000 | |||||||
Jujhar Khaira | C/LW | 30 | $2,500,000 | |||||||
Justin Scott | C/RW | 29 | $750,000 | |||||||
Keegan Kanzig | D | 30 | $700,000 | |||||||
Mantas Armalis | G | 32 | $700,000 | $700,000 | ||||||
Max Jones | LW/RW | 27 | $900,000 | |||||||
Michael Downing | D | 29 | $700,000 | |||||||
Nick DeSimone | D | 30 | $900,000 | |||||||
Nikita Chibrikov | LW | 22 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | |||
Nikita Gusev | LW/RW | 32 | $1,150,000 | $1,150,000 | $1,150,000 | $1,150,000 | $1,150,000 | |||
Paul Thompson | RW | 36 | $2,999,999 | |||||||
Riegan Lorenz | LW | 21 | $925,000 | $925,000 | $925,000 | |||||
Riley Sheahan | C/LW | 33 | $700,000 | |||||||
Ryan Carpenter | C/RW | 34 | $700,000 | |||||||
Ryder Korczak | C/LW | 22 | $800,000 | $800,000 | $800,000 | |||||
Sam Vigneault | C | 29 | $900,000 | |||||||
Stuart Percy | D | 31 | $700,000 | |||||||
Tom Parisi | D | 31 | $700,000 | |||||||
Tom Pyatt | C/LW/RW | 38 | $700,000 | |||||||
Vince Pedrie | D | 31 | $700,000 | |||||||
Wade Megan | C | 34 | $700,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 20 | 30 | 0 | 0 | 3 | 5 | 1 | 1 | 109 | 20 | 55 | 33 | 1 | 79 | 21 | 29 | 51 | 16 | 3 | 18.75% | 11 | 1 | 90.91% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 76 | 54 | 67 | 21 | 36 | 19 | 58.3% | 9.2% | 92.4% | 101.6 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 29 | 12 | 11 | 6 | 0 | 36 | 11 | 14 | 20 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 23 | 15 | 24 | 8 | 12 | 6 | 50.0% | 10.3% | 88.9% | 99.2 | FUN | |
3 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 2 | 3 | 2 | 2 | 55 | 20 | 16 | 16 | 6 | 71 | 23 | 14 | 49 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 33 | 55 | 14 | 24 | 11 | 53.8% | 14.5% | 88.7% | 103.3 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 13 | 10 | 10 | 0 | 43 | 11 | 8 | 19 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 14 | 26 | 7 | 12 | 5 | 50.0% | 12.1% | 93.0% | 105.1 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 1 | 6 | 2 | 2 | 91 | 30 | 33 | 27 | 4 | 102 | 19 | 12 | 84 | 16 | 4 | 25.00% | 6 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 72 | 49 | 74 | 22 | 38 | 19 | 40.0% | 11.0% | 91.2% | 102.2 | LUCKY | |
6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 104 | 31 | 40 | 33 | 0 | 107 | 33 | 24 | 55 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 65 | 44 | 76 | 22 | 38 | 18 | 50.0% | 8.7% | 91.6% | 100.2 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 37 | 17 | 12 | 8 | 0 | 25 | 7 | 6 | 17 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 27 | 20 | 21 | 6 | 11 | 6 | 33.3% | 8.1% | 92.0% | 100.1 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 41 | 11 | 14 | 16 | 0 | 47 | 7 | 10 | 21 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 24 | 18 | 24 | 6 | 10 | 5 | 33.3% | 4.9% | 89.4% | 94.2 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 65 | 26 | 18 | 21 | 0 | 65 | 16 | 18 | 51 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 47 | 32 | 46 | 14 | 25 | 12 | 44.4% | 7.7% | 87.7% | 95.4 | Unlucky | |
10 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 4 | 1 | 114 | 45 | 35 | 32 | 2 | 106 | 34 | 32 | 54 | 15 | 5 | 33.33% | 16 | 2 | 87.50% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 69 | 48 | 76 | 22 | 38 | 18 | 42.9% | 9.6% | 90.6% | 100.2 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 0 | 46 | 11 | 20 | 15 | 0 | 36 | 8 | 10 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 22 | 15 | 25 | 7 | 12 | 5 | 100.0% | 13.0% | 97.2% | 110.3 | LUCKY | |
12 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 5 | 0 | 1 | 0 | 61 | 24 | 19 | 14 | 4 | 78 | 26 | 22 | 44 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 42 | 28 | 56 | 15 | 25 | 12 | 41.7% | 9.8% | 88.5% | 98.3 | FUN | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 4 | 3 | 0 | 62 | 17 | 19 | 26 | 0 | 64 | 18 | 14 | 49 | 10 | 4 | 40.00% | 7 | 2 | 71.43% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 32 | 47 | 13 | 25 | 13 | 62.5% | 14.5% | 92.2% | 106.7 | LUCKY | |
14 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 1 | 3 | 2 | 1 | 120 | 36 | 49 | 31 | 4 | 108 | 35 | 32 | 53 | 14 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 71 | 49 | 76 | 21 | 36 | 18 | 43.8% | 5.8% | 89.8% | 95.6 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 6 | 17 | 7 | 0 | 28 | 10 | 6 | 18 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 26 | 19 | 20 | 6 | 13 | 6 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 36 | 12 | 10 | 14 | 0 | 36 | 16 | 4 | 28 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 24 | 17 | 23 | 6 | 12 | 6 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 0 | 2 | 0 | 35 | 6 | 17 | 12 | 0 | 29 | 10 | 47 | 13 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 25 | 18 | 21 | 7 | 12 | 6 | 42.9% | 8.6% | 82.8% | 91.3 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 17 | 6 | 7 | 4 | 0 | 35 | 8 | 12 | 23 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 14 | 26 | 6 | 12 | 6 | 33.3% | 11.8% | 88.6% | 100.3 | FUN | |
19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 2 | 4 | 5 | 1 | 80 | 22 | 25 | 26 | 7 | 61 | 11 | 12 | 34 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 51 | 37 | 45 | 14 | 26 | 12 | 52.6% | 15.0% | 85.2% | 100.2 | FUN | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.333 | 5 | 7 | 12 | 1 | 0 | 2 | 1 | 2 | 0 | 87 | 28 | 29 | 30 | 0 | 97 | 26 | 59 | 57 | 5 | 1 | 20.00% | 22 | 4 | 81.82% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 70 | 49 | 75 | 20 | 33 | 16 | 40.0% | 5.7% | 89.7% | 95.4 | Unlucky | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 4 | 6 | 1 | 0 | 95 | 31 | 38 | 26 | 0 | 94 | 21 | 30 | 64 | 14 | 2 | 14.29% | 10 | 2 | 80.00% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 77 | 55 | 66 | 20 | 36 | 18 | 47.4% | 11.6% | 87.2% | 98.8 | FUN | |
22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 5 | 0 | 90 | 29 | 32 | 29 | 0 | 87 | 24 | 22 | 61 | 18 | 4 | 22.22% | 9 | 2 | 77.78% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 73 | 51 | 70 | 21 | 35 | 18 | 50.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
23 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 57 | 19 | 29 | 8 | 1 | 51 | 18 | 12 | 36 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 45 | 32 | 51 | 14 | 25 | 11 | 50.0% | 10.5% | 88.2% | 98.8 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 7 | 3 | 3 | 0 | 41 | 7 | 12 | 28 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 21 | 15 | 26 | 7 | 11 | 5 | 50.0% | 7.7% | 95.1% | 102.8 | DULL | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 1.000 | 13 | 24 | 37 | 0 | 0 | 4 | 5 | 4 | 0 | 51 | 13 | 25 | 13 | 0 | 55 | 26 | 19 | 43 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 46 | 32 | 47 | 13 | 25 | 12 | 64.7% | 25.5% | 87.3% | 112.8 | FUN | |
_Vs Division | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 21 | 18 | 3 | 8 | 0.571 | 21 | 39 | 60 | 0 | 1 | 8 | 5 | 7 | 1 | 219 | 67 | 93 | 58 | 1 | 229 | 71 | 52 | 145 | 17 | 3 | 17.65% | 26 | 3 | 88.46% | 0 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 161 | 113 | 172 | 49 | 87 | 42 | 54.5% | 9.6% | 92.1% | 101.7 | LUCKY | |
_Vs Conference | 16 | 6 | 5 | 0 | 2 | 1 | 2 | 0 | 57 | 50 | 7 | 21 | 0.656 | 57 | 96 | 153 | 0 | 1 | 17 | 20 | 16 | 6 | 511 | 168 | 190 | 141 | 18 | 524 | 142 | 110 | 349 | 56 | 13 | 23.21% | 53 | 7 | 86.79% | 1 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 381 | 267 | 393 | 116 | 201 | 98 | 50.6% | 11.2% | 90.5% | 101.6 | FUN | |
_Since Last GM Reset | 48 | 21 | 18 | 0 | 5 | 2 | 2 | 0 | 158 | 156 | 2 | 58 | 0.604 | 158 | 276 | 434 | 3 | 1 | 49 | 53 | 49 | 9 | 1558 | 492 | 583 | 460 | 29 | 1581 | 446 | 480 | 993 | 183 | 39 | 21.31% | 195 | 34 | 82.56% | 3 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 1143 | 799 | 1172 | 345 | 595 | 296 | 49.4% | 10.1% | 90.1% | 100.3 | FUN | |
Total | 48 | 21 | 18 | 0 | 5 | 2 | 2 | 0 | 158 | 156 | 2 | 58 | 0.604 | 158 | 276 | 434 | 3 | 1 | 49 | 53 | 49 | 9 | 1558 | 492 | 583 | 460 | 29 | 1581 | 446 | 480 | 993 | 183 | 39 | 21.31% | 195 | 34 | 82.56% | 3 | 855 | 1729 | 49.45% | 812 | 1765 | 46.01% | 374 | 743 | 50.34% | 1143 | 799 | 1172 | 345 | 595 | 296 | 49.4% | 10.1% | 90.1% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1729 |
Neutral Zone Start | 743 |
Defensive Zone Start | 1765 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2041 |
Faceoffs Lost | 2196 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 113 |
---|---|
PP Goal | 39 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 16 | 12 |
Lost | 7 | 11 |
Overtime Lost | 0 | 2 |
PP Attempt | 183 |
---|---|
PP Goal | 39 |
PK Attempt | 195 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 32.9 |
Goals For | 3.3 |
Goals Against | 3.3 |
Hits | 20.7 |
Shots Blocked | 9.3 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Mar 21 | @ | NSH4,DET2 | RECAP | |||||||||||
Mon, Mar 24 | @ | DET3,NJD4 (OT) | RECAP | |||||||||||
Wed, Mar 26 | @ | CGY2,DET4 | RECAP | |||||||||||
Sat, Mar 29 | @ | DET7,NYI4 | RECAP | |||||||||||
Mon, Mar 31 | @ | CGY2,DET3 (OT) | RECAP | |||||||||||
Thu, Apr 3 | @ | OTT3,DET4 | RECAP | |||||||||||
Sat, Apr 5 | @ | DET1,NYI4 | RECAP | |||||||||||
Mon, Apr 7 | @ | WPG6,DET0 | RECAP | |||||||||||
Tue, Apr 8 | @ | DET5,WPG2 | RECAP | |||||||||||
Fri, Apr 11 | @ | DET3,EDM4 (OT) | RECAP | |||||||||||
Sat, Apr 12 | @ | COL2,DET4 | RECAP | |||||||||||
Tue, Apr 15 | @ | DET0,UTA3 | RECAP | |||||||||||
Thu, Apr 17 | @ | VGK3,DET6 | RECAP | |||||||||||
Sat, Apr 19 | @ | DET4,VAN1 | RECAP | |||||||||||
Sun, Apr 20 | @ | DET2,ANA5 | RECAP | |||||||||||
Tue, Apr 22 | @ | STL3,DET4 | RECAP | |||||||||||
Fri, Apr 25 | @ | DET1,DAL2 | RECAP | |||||||||||
Sun, Apr 27 | @ | CBJ5,DET7 | RECAP | |||||||||||
Tue, Apr 29 | @ | DET4,DAL3 | RECAP | |||||||||||
Thu, May 1 | @ | DAL2,DET4 | RECAP | |||||||||||
Sun, May 4 | @ | DET5,STL2 | RECAP | |||||||||||
Tue, May 6 | @ | ANA3,DET4 | RECAP | |||||||||||
Fri, May 9 | @ | VAN3,DET4 | RECAP | |||||||||||
Sun, May 11 | @ | DET2,MIN5 | RECAP | |||||||||||
Tue, May 13 | @ | NSH2,DET3 (OT) | RECAP | |||||||||||
Thu, May 15 | @ | DET1,VAN5 | RECAP | |||||||||||
Sat, May 17 | @ | CGY2,DET3 | RECAP | |||||||||||
Mon, May 19 | @ | DET5,NJD4 (SO) | RECAP | |||||||||||
Wed, May 21 | @ | BUF0,DET3 | RECAP | |||||||||||
Fri, May 23 | @ | DET6,TBL1 | RECAP | |||||||||||
Sun, May 25 | @ | PHI4,DET3 | RECAP | |||||||||||
Tue, May 27 | @ | DET3,CHI5 | RECAP | |||||||||||
Thu, May 29 | @ | DET2,QUE4 | RECAP | |||||||||||
Sat, May 31 | @ | DET4,TOR3 (OT) | RECAP | |||||||||||
Sun, Jun 1 | @ | EDM5,DET3 | RECAP | |||||||||||
Thu, Jun 5 | @ | UTA3,DET4 (OT) | RECAP | |||||||||||
Sat, Jun 7 | @ | DET2,NYI1 (SO) | RECAP | |||||||||||
Mon, Jun 9 | @ | WSH2,DET3 | RECAP | |||||||||||
Wed, Jun 11 | @ | DET0,WPG2 | RECAP | |||||||||||
Fri, Jun 13 | @ | UTA5,DET3 | RECAP | |||||||||||
Mon, Jun 16 | @ | DET5,ANA4 | RECAP | |||||||||||
Wed, Jun 18 | @ | DET6,NSH4 | RECAP | |||||||||||
Thu, Jun 19 | @ | VGK4,DET7 | RECAP | |||||||||||
Sun, Jun 22 | @ | COL6,DET1 | RECAP | |||||||||||
Tue, Jun 24 | @ | DET5,CBJ4 (OT) | RECAP | |||||||||||
Thu, Jun 26 | @ | DET1,SEA2 | RECAP | |||||||||||
Sat, Jun 28 | @ | TOR3,DET2 | RECAP | |||||||||||
Mon, Jun 30 | @ | DET0,BOS4 | RECAP | |||||||||||
Wed, Jul 2 | @ | |||||||||||||
Thu, Jul 3 | @ | |||||||||||||
Sun, Jul 6 | @ | |||||||||||||
Mon, Jul 7 | @ | |||||||||||||
Thu, Jul 10 | @ | |||||||||||||
Sat, Jul 12 | @ | |||||||||||||
Sun, Jul 13 | @ | |||||||||||||
Wed, Jul 16 | @ | |||||||||||||
Fri, Jul 18 | @ | |||||||||||||
Sun, Jul 20 | @ | |||||||||||||
Mon, Jul 21 | @ | |||||||||||||
Thu, Jul 24 | @ | |||||||||||||
Sat, Jul 26 | @ | |||||||||||||
Mon, Jul 28 | @ | |||||||||||||
Wed, Jul 30 | @ | |||||||||||||
Sun, Aug 3 | @ | |||||||||||||
Mon, Aug 4 | @ | |||||||||||||
Thu, Aug 7 | @ | |||||||||||||
Mon, Aug 11 | @ | |||||||||||||
Tue, Aug 12 | @ | |||||||||||||
Fri, Aug 15 | @ | |||||||||||||
Sat, Aug 16 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Thu, Aug 21 | @ | |||||||||||||
Fri, Aug 22 | @ | |||||||||||||
Mon, Aug 25 | @ | |||||||||||||
Tue, Aug 26 | @ | |||||||||||||
Thu, Aug 28 | @ | |||||||||||||
Sat, Aug 30 | @ | |||||||||||||
Sun, Aug 31 | @ | |||||||||||||
Wed, Sep 3 | @ | |||||||||||||
Thu, Sep 4 | @ | |||||||||||||
Tue, Sep 9 | @ | |||||||||||||
Sun, Sep 14 | @ | |||||||||||||
Mon, Sep 22 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,275,067$ | 1,075,000$ | 83,350,067$ | 149,933$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
|
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 117646 | 107312 | 38402 | 76456 | 19798 |
Attendance PCT | 85.25% | 84.83% | 83.48% | 83.10% | 86.08% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 15635 - 84.52% | 1,696,312$ | 39,015,187$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,275,067$ | 82,275,067$ | 0$ | 1,075,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
44,493,438$ | 82,275,067$ | 44,493,438$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
30,533,625$ | 85 | 435,318$ | 37,002,030$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
38,071,945$ | 83,350,067$ | 28,787,159$ | 24,114,196$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 |
---|---|---|---|---|---|
Alexander Ljungkrantz | 2023 | 74 | |||
Ben Merrill | 15 | 79 | |||
Bogdan Trineyev | 8 | 91 | |||
Brody Lamb | 9 | 84 | |||
Calle Clang | 8 | 67 | |||
Chase Cheslock | 13 | 87 | |||
Chase Stillman | 10 | 27 | |||
Cole O'Hara | 11 | 76 | |||
Elias Salomonsson | 12 | 43 | |||
Harrison Meneghin | 15 | 82 | |||
Henry Thrun | 2022 | 78 | |||
Miroslav Satan | 15 | 90 | |||
Reilly Walsh | |||||
Ryan O'Rourke | 8 | 35 | |||
Tanner Ludtke | 14 | 64 | |||
Theo Lindstein | 14 | 45 | |||
Tobias Bjornfoot | 2021 | 22 | |||
Tomas Hamara | 12 | 72 | |||
Tristan Bertucci | 14 | 60 | |||
Veeti Vaisanen | 15 | 66 |
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 |
---|---|---|---|---|---|
Alexander Ljungkrantz | 2023 | 74 | |||
Ben Merrill | 15 | 79 | |||
Bogdan Trineyev | 8 | 91 | |||
Brody Lamb | 9 | 84 | |||
Calle Clang | 8 | 67 | |||
Chase Cheslock | 13 | 87 | |||
Chase Stillman | 10 | 27 | |||
Cole O'Hara | 11 | 76 | |||
Elias Salomonsson | 12 | 43 | |||
Harrison Meneghin | 15 | 82 | |||
Henry Thrun | 2022 | 78 | |||
Miroslav Satan | 15 | 90 | |||
Reilly Walsh | |||||
Ryan O'Rourke | 8 | 35 | |||
Tanner Ludtke | 14 | 64 | |||
Theo Lindstein | 14 | 45 | |||
Tobias Bjornfoot | 2021 | 22 | |||
Tomas Hamara | 12 | 72 | |||
Tristan Bertucci | 14 | 60 | |||
Veeti Vaisanen | 15 | 66 |
|