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Full Scoreboard »» |
San Jose Sharks 13-9-4, 30pts · 8th 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/RW | 100% | 5' 10" | 177 | 36 | Nov 19, 1988 | $14,000,000/1yrs | 57 | 50 | 90 | 96 | 65 | 85 | 81 | 97 | 85 | 98 | 98 | 87 | 84 | 99 | 99 | 1 | 54 | 85 | |
0 | ![]() | C/LW | 99% | 6' 0" | 185 | 34 | Oct 06, 1990 | $7,150,000/2yrs | 93 | 88 | 56 | 87 | 70 | 79 | 81 | 90 | 84 | 87 | 90 | 82 | 80 | 99 | 99 | 9 | 38 | 81 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 236 | 36 | Jun 07, 1988 | $3,750,000/1yrs | 96 | 88 | 54 | 83 | 93 | 73 | 85 | 90 | 25 | 84 | 81 | 78 | 75 | 99 | 99 | 1 | 58 | 79 | |
0 | ![]() | C/W | 98% | 6' 1" | 191 | 28 | May 31, 1996 | $5,000,000/3yrs | 68 | 43 | 94 | 81 | 73 | 72 | 93 | 86 | 38 | 79 | 93 | 74 | 63 | 84 | 84 | 51 | 55 | 77 | |
0 | ![]() | C/LW | 100% | 5' 11" | 185 | 27 | Dec 03, 1997 | $2,700,000/1yrs | 94 | 89 | 58 | 99 | 69 | 85 | 86 | 82 | 76 | 74 | 69 | 75 | 47 | 85 | 81 | 63 | 55 | 75 | |
0 | ![]() | C | 100% | 6' 2" | 203 | 25 | May 11, 1999 | $2,500,000/3yrs | 50 | 48 | 99 | 95 | 79 | 80 | 89 | 84 | 82 | 77 | 77 | 73 | 38 | 78 | 70 | 70 | 55 | 75 | |
0 | ![]() | C/RW | 100% | 6' 1" | 195 | 28 | Mar 25, 1997 | $1,500,000/3yrs | 59 | 57 | 78 | 84 | 74 | 69 | 95 | 81 | 71 | 76 | 75 | 81 | 74 | 78 | 74 | 59 | 55 | 74 | |
0 | ![]() | LW | 100% | 6' 2" | 165 | 25 | Sep 13, 1999 | $700,000/3yrs | 90 | 88 | 54 | 97 | 64 | 66 | 88 | 80 | 55 | 79 | 80 | 72 | 71 | 67 | 67 | 73 | 55 | 74 | |
23 | ![]() | C/LW | 100% | 6' 0" | 178 | 29 | Sep 05, 1995 | $700,000/1yrs | 51 | 36 | 97 | 84 | 67 | 71 | 78 | 80 | 87 | 74 | 70 | 78 | 64 | 99 | 99 | 55 | 55 | 73 | |
17 | ![]() | C/LW | 100% | 6' 0" | 186 | 26 | Feb 19, 1999 | $878,000/5yrs | 95 | 91 | 57 | 94 | 70 | 80 | 80 | 76 | 62 | 66 | 64 | 83 | 65 | 84 | 82 | 61 | 56 | 73 | |
0 | ![]() | LW/RW | 100% | 5' 11" | 182 | 29 | Jul 18, 1995 | $700,000/2yrs | 55 | 40 | 98 | 83 | 68 | 80 | 80 | 86 | 44 | 80 | 85 | 69 | 25 | 70 | 70 | 45 | 55 | 73 | |
0 | ![]() | C/LW | 100% | 5' 10" | 181 | 23 | Feb 05, 2002 | $1,086,942/2yrs | 46 | 39 | 98 | 89 | 66 | 79 | 95 | 84 | 67 | 81 | 79 | 76 | 69 | 57 | 57 | 83 | 35 | 73 | |
0 | ![]() | D | 100% | 6' 1" | 215 | 35 | Jun 13, 1989 | $7,500,000/5yrs | 90 | 65 | 65 | 90 | 82 | 89 | 79 | 96 | 25 | 96 | 87 | 94 | 67 | 99 | 99 | 14 | 55 | 85 | |
0 | ![]() | D | 100% | 6' 7" | 246 | 34 | Dec 18, 1990 | $9,000,000/1yrs | 97 | 85 | 57 | 88 | 99 | 89 | 83 | 97 | 25 | 99 | 86 | 75 | 69 | 99 | 99 | 14 | 55 | 84 | |
0 | ![]() | D | 100% | 5' 9" | 194 | 34 | Apr 21, 1991 | $8,150,000/5yrs | 61 | 37 | 90 | 90 | 70 | 92 | 84 | 96 | 25 | 97 | 83 | 81 | 66 | 99 | 99 | 29 | 55 | 81 | |
82 | ![]() | D | 100% | 6' 1" | 225 | 36 | Feb 21, 1989 | $3,250,000/6yrs | 93 | 78 | 60 | 75 | 86 | 78 | 81 | 82 | 25 | 71 | 59 | 89 | 59 | 99 | 99 | 1 | 56 | 78 | |
0 | ![]() | D | 100% | 6' 2" | 210 | 29 | May 01, 1995 | $3,150,000/6yrs | 84 | 45 | 84 | 80 | 81 | 81 | 99 | 77 | 25 | 59 | 48 | 91 | 75 | 68 | 69 | 55 | 55 | 75 | |
58 | ![]() | D | 100% | 6' 0" | 183 | 27 | May 19, 1997 | $716,000/1yrs | 80 | 52 | 73 | 81 | 69 | 71 | 72 | 81 | 25 | 74 | 70 | 78 | 58 | 95 | 96 | 63 | 55 | 74 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C | 100% | 6' 3" | 218 | 27 | Sep 08, 1997 | $775,000/3yrs | 50 | 45 | 96 | 88 | 86 | 67 | 95 | 81 | 63 | 75 | 79 | 75 | 69 | 67 | 67 | 66 | 49 | 73 | |
44 | ![]() | D | 100% | 6' 1" | 205 | 38 | Mar 30, 1987 | $700,000/1yrs | 86 | 52 | 73 | 77 | 78 | 86 | 77 | 80 | 25 | 71 | 62 | 77 | 63 | 99 | 99 | 1 | 41 | 75 | |
0 | ![]() | D | 100% | 6' 2" | 194 | 26 | Oct 20, 1998 | $810,000/3yrs | 72 | 61 | 78 | 88 | 75 | 80 | 91 | 77 | 20 | 64 | 62 | 79 | 44 | 81 | 81 | 60 | 24 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 100% | 6' 1" | 190 | 29 | Jul 06, 1995 | $700,000/2yrs | 79 | 75 | 80 | 73 | 77 | 95 | 95 | 96 | 95 | 78 | 75 | 92 | 93 | 51 | 61 | 84 | |
0 | ![]() | G | 98% | 6' 5" | 180 | 26 | Feb 09, 1999 | $1,100,000/3yrs | 86 | 78 | 84 | 72 | 81 | 96 | 96 | 96 | 96 | 72 | 69 | 76 | 76 | 69 | 61 | 83 | |
Scratches |
General Manager | Graham Burns |
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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 | Patrick Kane | 0 | C/RW | 26 | 14 | 9 | 23 | 7 | 0 | 0 | 6 | 98 | 27 | 65 | 14.29% | 5 | 19.83 | 0 | 4 | 4 | 76 | 1 | 0 | 1 | 40 | 1 | 0 | 52.40% | 603 | 0 | 0 | 0 | 1 | 0.89 | 0 | 2 | |
2 | Ryan McDonagh | 0 | D | 26 | 4 | 19 | 23 | -6 | 30 | 0 | 68 | 58 | 19 | 39 | 6.90% | 51 | 24.38 | 2 | 4 | 6 | 78 | 0 | 1 | 1 | 81 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
3 | Torey Krug | 0 | D | 26 | 2 | 18 | 20 | 0 | 2 | 0 | 4 | 43 | 13 | 30 | 4.65% | 40 | 23.58 | 1 | 4 | 5 | 78 | 0 | 1 | 1 | 101 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
4 | Milan Lucic | 0 | LW/RW | 26 | 7 | 10 | 17 | -3 | 43 | 5 | 96 | 86 | 21 | 52 | 8.14% | 3 | 16.78 | 3 | 3 | 6 | 74 | 0 | 0 | 0 | 8 | 2 | 0 | 18.92% | 37 | 0 | 0 | 0 | 0 | 0.78 | 0 | 3 | |
5 | Victor Hedman | 0 | D | 26 | 4 | 12 | 16 | -7 | 36 | 0 | 63 | 36 | 21 | 27 | 11.11% | 22 | 20.38 | 3 | 4 | 7 | 73 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
6 | Oliver Kylington | 58 | D | 25 | 0 | 16 | 16 | 17 | 20 | 0 | 29 | 22 | 8 | 20 | 0.00% | 24 | 16.52 | 0 | 4 | 4 | 60 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
7 | Nazem Kadri | 0 | C/LW | 18 | 8 | 5 | 13 | 5 | 29 | 5 | 64 | 46 | 10 | 34 | 17.39% | 3 | 19.48 | 3 | 0 | 3 | 46 | 0 | 0 | 0 | 38 | 3 | 1 | 53.06% | 147 | 0 | 0 | 0 | 1 | 0.74 | 0 | 1 | |
8 | Jared McCann | 0 | C/LW/RW | 26 | 4 | 9 | 13 | 3 | 6 | 0 | 17 | 56 | 18 | 35 | 7.14% | 2 | 18.54 | 2 | 4 | 6 | 74 | 0 | 0 | 0 | 11 | 1 | 0 | 35.91% | 181 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | |
9 | Glenn Gawdin | 0 | C/RW | 26 | 5 | 7 | 12 | 8 | 0 | 0 | 2 | 39 | 16 | 31 | 12.82% | 5 | 16.17 | 1 | 0 | 1 | 28 | 0 | 1 | 1 | 92 | 0 | 0 | 42.25% | 71 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 | |
10 | Victor Olofsson | 0 | LW/RW | 26 | 7 | 5 | 12 | -1 | 0 | 0 | 0 | 56 | 8 | 40 | 12.50% | 3 | 16.08 | 0 | 1 | 1 | 77 | 0 | 0 | 0 | 0 | 0 | 1 | 28.13% | 32 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
11 | Santeri Virtanen | 0 | C | 26 | 6 | 4 | 10 | 7 | 0 | 0 | 0 | 43 | 11 | 30 | 13.95% | 9 | 11.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 52.11% | 380 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
12 | Lucas Wallmark | 23 | C/LW | 15 | 2 | 5 | 7 | 2 | 0 | 0 | 2 | 16 | 6 | 8 | 12.50% | 0 | 13.49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 52.43% | 103 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | |
13 | Alex Formenton | 0 | LW | 26 | 4 | 3 | 7 | 7 | 34 | 0 | 60 | 52 | 13 | 45 | 7.69% | 1 | 14.19 | 0 | 1 | 1 | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 39.29% | 28 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
14 | Antonio Stranges | 0 | C/LW | 23 | 2 | 5 | 7 | 0 | 0 | 0 | 2 | 27 | 14 | 23 | 7.41% | 0 | 10.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 48 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
15 | Matt Roy | 0 | D | 26 | 0 | 5 | 5 | 17 | 22 | 0 | 38 | 15 | 3 | 9 | 0.00% | 44 | 17.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
16 | Ian Cole | 82 | D | 26 | 3 | 1 | 4 | 1 | 17 | 5 | 57 | 15 | 3 | 12 | 20.00% | 47 | 18.75 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 90 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.16 | 0 | 0 | |
17 | Rasmus Asplund | 0 | C/LW | 26 | 1 | 2 | 3 | -2 | 14 | 0 | 16 | 19 | 5 | 15 | 5.26% | 3 | 7.23 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 52.17% | 161 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
18 | Jordan Stallard | 0 | C | 19 | 1 | 2 | 3 | -2 | 0 | 0 | 0 | 12 | 4 | 12 | 8.33% | 1 | 7.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
19 | Grant Mismash | 17 | C/LW | 26 | 2 | 0 | 2 | -2 | 15 | 5 | 36 | 21 | 7 | 16 | 9.52% | 4 | 10.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0 | 1 | 73.33% | 15 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
20 | Marc-Edouard Vlasic | 44 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 1 | 17.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 465 | 76 | 137 | 213 | 50 | 268 | 20 | 560 | 761 | 227 | 544 | 9.99% | 268 | 16.09 | 16 | 29 | 45 | 761 | 1 | 3 | 4 | 695 | 12 | 4 | 49.03% | 1813 | 0 | 0 | 1 | 2 | 0.57 | 1 | 10 |
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 | Keith Petruzzelli | 13 | 13 | 7 | 4 | 2 | 0.914 | 2.82 | -0.4 | 787 | 2 | 0 | 37 | 430 | 0 | 0 | 0 | 0.000 | 0 | 13 | 13 | 0 | 1 | 1 | |
2 | Eric Comrie | 13 | 13 | 6 | 5 | 2 | 0.907 | 2.96 | -3.4 | 792 | 0 | 1 | 39 | 419 | 0 | 2 | 0 | 0.800 | 10 | 13 | 13 | 2 | 0 | 1 | |
Team Total or Average | 26 | 26 | 13 | 9 | 4 | 0.910 | 2.89 | 1579 | 2 | 1 | 76 | 849 | 0 | 2 | 0 | 0.800 | 10 | 26 | 26 | 2 | 1 | 2 |
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 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 4 | 0 | 1 | 0 | 45 | 15 | 16 | 13 | 4 | 75 | 17 | 28 | 36 | 3 | 1 | 33.33% | 14 | 2 | 85.71% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 48 | 32 | 49 | 15 | 26 | 12 | 40.0% | 11.1% | 89.3% | 100.4 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 6 | 9 | 3 | 0 | 37 | 16 | 8 | 15 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 20 | 13 | 27 | 7 | 11 | 4 | 20.0% | 5.6% | 89.2% | 94.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 30 | 12 | 9 | 9 | 0 | 33 | 6 | 4 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 15 | 24 | 7 | 13 | 6 | 60.0% | 13.3% | 93.9% | 107.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 13 | 15 | 5 | 0 | 24 | 4 | 12 | 25 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 18 | 21 | 6 | 12 | 6 | 100.0% | 9.1% | 91.7% | 100.8 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 41 | 13 | 15 | 13 | 0 | 59 | 26 | 17 | 54 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 46 | 31 | 46 | 14 | 27 | 12 | 57.1% | 12.2% | 91.5% | 103.7 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 23 | 8 | 9 | 5 | 1 | 38 | 16 | 14 | 18 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 21 | 15 | 27 | 7 | 11 | 5 | 50.0% | 13.0% | 89.5% | 102.5 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 4 | 8 | 11 | 0 | 25 | 9 | 12 | 20 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 24 | 16 | 23 | 7 | 12 | 6 | 100.0% | 4.3% | 92.0% | 96.3 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 40 | 19 | 11 | 10 | 0 | 32 | 6 | 19 | 16 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 18 | 21 | 6 | 11 | 6 | 100.0% | 2.5% | 90.6% | 93.1 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 25 | 6 | 10 | 9 | 0 | 30 | 7 | 10 | 25 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 16.0% | 90.0% | 106.0 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 2 | 0 | 39 | 18 | 9 | 12 | 0 | 33 | 12 | 10 | 18 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 23 | 15 | 25 | 7 | 11 | 5 | 75.0% | 17.9% | 90.9% | 108.9 | FUN | |
11 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 20 | 31 | 0 | 1 | 3 | 5 | 2 | 1 | 108 | 28 | 44 | 33 | 3 | 101 | 34 | 18 | 69 | 18 | 1 | 5.56% | 9 | 3 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 79 | 58 | 67 | 22 | 36 | 18 | 76.9% | 10.2% | 94.1% | 104.2 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 16 | 9 | 3 | 0 | 21 | 8 | 8 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 17 | 21 | 7 | 13 | 6 | 33.3% | 3.6% | 90.5% | 94.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 38 | 11 | 9 | 18 | 0 | 23 | 9 | 6 | 23 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 19 | 20 | 6 | 13 | 6 | 57.1% | 15.8% | 87.0% | 102.7 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 13 | 13 | 6 | 0 | 26 | 7 | 25 | 25 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 17 | 23 | 6 | 11 | 6 | 0.0% | 3.1% | 88.5% | 91.6 | Unlucky | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 1 | 6 | 0 | 73 | 22 | 20 | 31 | 0 | 61 | 16 | 14 | 51 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 50 | 36 | 44 | 14 | 24 | 12 | 72.7% | 12.3% | 93.4% | 105.8 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 16 | 8 | 7 | 0 | 44 | 18 | 10 | 22 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 16 | 25 | 5 | 11 | 5 | 28.6% | 6.5% | 84.1% | 90.5 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 21 | 6 | 3 | 12 | 0 | 40 | 15 | 12 | 21 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 15 | 25 | 6 | 11 | 5 | 83.3% | 23.8% | 97.5% | 121.3 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 0 | 1 | 53 | 19 | 17 | 12 | 9 | 28 | 12 | 17 | 22 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 29 | 20 | 22 | 7 | 13 | 7 | 60.0% | 9.4% | 85.7% | 95.1 | FUN | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 33 | 11 | 10 | 8 | 7 | 39 | 9 | 8 | 24 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 18 | 26 | 6 | 13 | 6 | 16.7% | 12.1% | 87.2% | 99.3 | FUN | |
20 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | -6 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 49 | 12 | 15 | 19 | 3 | 80 | 22 | 18 | 48 | 3 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 43 | 28 | 54 | 14 | 26 | 12 | 12.5% | 2.0% | 91.3% | 93.3 | DULL | |
_Vs Division | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 10 | 17 | -7 | 4 | 0.400 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 3 | 0 | 123 | 36 | 40 | 40 | 10 | 178 | 57 | 43 | 126 | 14 | 4 | 28.57% | 18 | 2 | 88.89% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 114 | 78 | 127 | 36 | 66 | 31 | 28.6% | 8.1% | 90.4% | 98.6 | Unlucky | |
_Vs Conference | 12 | 4 | 5 | 0 | 1 | 1 | 0 | 1 | 29 | 39 | -10 | 12 | 0.500 | 29 | 53 | 82 | 0 | 1 | 7 | 13 | 8 | 1 | 359 | 118 | 126 | 105 | 13 | 411 | 129 | 125 | 283 | 45 | 6 | 13.33% | 47 | 12 | 74.47% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 293 | 206 | 287 | 84 | 151 | 74 | 46.0% | 8.1% | 90.5% | 98.6 | Unlucky | |
_Since Last GM Reset | 26 | 11 | 9 | 0 | 1 | 2 | 1 | 2 | 79 | 78 | 1 | 30 | 0.577 | 79 | 138 | 217 | 0 | 1 | 28 | 23 | 26 | 2 | 783 | 268 | 259 | 239 | 27 | 849 | 269 | 270 | 574 | 94 | 16 | 17.02% | 116 | 24 | 79.31% | 2 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 635 | 442 | 621 | 187 | 325 | 160 | 53.8% | 10.1% | 90.8% | 100.9 | FUN | |
Total | 26 | 11 | 9 | 0 | 1 | 2 | 1 | 2 | 79 | 78 | 1 | 30 | 0.577 | 79 | 138 | 217 | 0 | 1 | 28 | 23 | 26 | 2 | 783 | 268 | 259 | 239 | 27 | 849 | 269 | 270 | 574 | 94 | 16 | 17.02% | 116 | 24 | 79.31% | 2 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 635 | 442 | 621 | 187 | 325 | 160 | 53.8% | 10.1% | 90.8% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 938 |
Neutral Zone Start | 405 |
Defensive Zone Start | 977 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1166 |
Faceoffs Lost | 1154 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 16 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 7 |
Lost | 6 | 3 |
Overtime Lost | 2 | 2 |
PP Attempt | 94 |
---|---|
PP Goal | 16 |
PK Attempt | 116 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 30.1 |
Shots Against | 32.7 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 22.1 |
Shots Blocked | 10.3 |
Pim | 10.4 |
![]() | |
Projected Total Cap Hit | $78,015,942 |
Projected Cap Space | $5,484,058 |
Retains And Buyout Cap Hit | $1,500,000 |
Players In Salary Cap | 23 |
Contracts | 55/55 |
LTIR Players | 0 |
Prospect Count | 17 |
Sharks Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | LW | 25 | $700,000 | $700,000 | $700,000 | |||||
Antonio Stranges | C/LW | 23 | $1,086,942 | $1,086,942 | ||||||
Eric Comrie | G | 29 | $700,000 | $700,000 | ||||||
Glenn Gawdin | C/RW | 28 | $1,500,000 | $1,500,000 | $1,500,000 | |||||
Grant Mismash | C/LW | 26 | $878,000 | $878,000 | $878,000 | $878,000 | $878,000 | |||
Gustav Lindstrom | D | 26 | $810,000 | $810,000 | $810,000 | |||||
Ian Cole | D | 36 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | ||
Jared McCann | C/LW/RW | 28 | $5,000,000 | $5,000,000 | $5,000,000 | |||||
Jordan Stallard | C | 27 | $775,000 | $775,000 | $775,000 | |||||
Keith Petruzzelli | G | 26 | $1,100,000 | $1,100,000 | $1,100,000 | |||||
Lucas Wallmark | C/LW | 29 | $700,000 | |||||||
Marc-Edouard Vlasic | D | 38 | $700,000 | |||||||
Matt Roy | D | 29 | $3,150,000 | $5,750,000 | $5,750,000 | $5,750,000 | $5,750,000 | $5,750,000 | ||
Milan Lucic | LW/RW | 36 | $3,750,000 | |||||||
Nazem Kadri | C/LW | 34 | $7,150,000 | $7,150,000 | ||||||
Oliver Kylington | D | 27 | $716,000 | |||||||
Patrick Kane | C/RW | 36 | $14,000,000 | |||||||
Rasmus Asplund | C/LW | 27 | $2,700,000 | |||||||
Ryan McDonagh | D | 35 | $7,500,000 | $7,500,000 | $7,500,000 | $7,500,000 | $7,500,000 | |||
Santeri Virtanen | C | 25 | $2,500,000 | $2,500,000 | $2,500,000 | |||||
Torey Krug | D | 34 | $8,150,000 | $8,150,000 | $8,150,000 | $8,150,000 | $8,150,000 | |||
Victor Hedman | D | 34 | $9,000,000 | |||||||
Victor Olofsson | LW/RW | 29 | $700,000 | $700,000 |
Sharks Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | D | 25 | $825,000 | |||||||
Ben Smith | C/RW | 36 | $1,100,000 | |||||||
Brady Cleveland | D | 20 | $925,000 | $925,000 | ||||||
Carl Hagelin | LW | 36 | $1,100,000 | |||||||
Chris Nell | G | 30 | $700,000 | |||||||
Damir Sharipzyanov | D | 29 | $1,100,000 | |||||||
Fredrik Olofsson | C/LW | 28 | $700,000 | $700,000 | $700,000 | |||||
German Rubtsov | C/LW | 26 | $700,000 | $700,000 | $700,000 | $700,000 | ||||
Jackson Kunz | C | 22 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | ||
Joe Cannata | G | 35 | $700,000 | |||||||
Jordan Nolan | C/LW/RW | 35 | $1,100,000 | |||||||
Josh Bloom | LW | 21 | $925,000 | $925,000 | $925,000 | |||||
Kevan Miller | D | 37 | $700,000 | |||||||
Kevin Lankinen | G | 29 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||
Kole Sherwood | C/RW | 28 | $795,000 | $795,000 | $795,000 | |||||
Linus Hultstrom | D | 32 | $700,000 | |||||||
Logan Cooley | C | 20 | $950,000 | $950,000 | $950,000 | |||||
Luc Snuggerud | D | 29 | $1,100,000 | |||||||
Lukas Jasek | C/RW | 27 | $700,000 | |||||||
Maksymilian Szuber | D | 22 | $859,167 | $859,167 | $859,167 | |||||
Nolan Foote | LW | 24 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | ||
Oleg Yevenko | D | 34 | $700,000 | |||||||
Quinton Burns | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Riley Barber | LW/RW | 31 | $700,000 | |||||||
Samuel Fagemo | LW | 24 | $775,000 | $775,000 | ||||||
Skyler McKenzie | LW | 27 | $900,000 | |||||||
Ty Ronning | RW | 27 | $700,000 | |||||||
Valtteri Puustinen | LW/RW | 25 | $1,063,750 | |||||||
Vincent Iorio | D | 22 | $925,000 | |||||||
Will Borgen | D | 28 | $950,000 | |||||||
William Lockwood | RW | 26 | $750,000 | $750,000 | $750,000 | |||||
Yegor Chinakhov | RW | 24 | $800,000 | $2,100,000 | $2,100,000 |
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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 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 4 | 0 | 1 | 0 | 45 | 15 | 16 | 13 | 4 | 75 | 17 | 28 | 36 | 3 | 1 | 33.33% | 14 | 2 | 85.71% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 48 | 32 | 49 | 15 | 26 | 12 | 40.0% | 11.1% | 89.3% | 100.4 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 6 | 9 | 3 | 0 | 37 | 16 | 8 | 15 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 20 | 13 | 27 | 7 | 11 | 4 | 20.0% | 5.6% | 89.2% | 94.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 30 | 12 | 9 | 9 | 0 | 33 | 6 | 4 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 15 | 24 | 7 | 13 | 6 | 60.0% | 13.3% | 93.9% | 107.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 13 | 15 | 5 | 0 | 24 | 4 | 12 | 25 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 18 | 21 | 6 | 12 | 6 | 100.0% | 9.1% | 91.7% | 100.8 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 41 | 13 | 15 | 13 | 0 | 59 | 26 | 17 | 54 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 46 | 31 | 46 | 14 | 27 | 12 | 57.1% | 12.2% | 91.5% | 103.7 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 23 | 8 | 9 | 5 | 1 | 38 | 16 | 14 | 18 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 21 | 15 | 27 | 7 | 11 | 5 | 50.0% | 13.0% | 89.5% | 102.5 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 4 | 8 | 11 | 0 | 25 | 9 | 12 | 20 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 24 | 16 | 23 | 7 | 12 | 6 | 100.0% | 4.3% | 92.0% | 96.3 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 40 | 19 | 11 | 10 | 0 | 32 | 6 | 19 | 16 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 18 | 21 | 6 | 11 | 6 | 100.0% | 2.5% | 90.6% | 93.1 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 25 | 6 | 10 | 9 | 0 | 30 | 7 | 10 | 25 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 16.0% | 90.0% | 106.0 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 2 | 0 | 39 | 18 | 9 | 12 | 0 | 33 | 12 | 10 | 18 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 23 | 15 | 25 | 7 | 11 | 5 | 75.0% | 17.9% | 90.9% | 108.9 | FUN | |
11 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 20 | 31 | 0 | 1 | 3 | 5 | 2 | 1 | 108 | 28 | 44 | 33 | 3 | 101 | 34 | 18 | 69 | 18 | 1 | 5.56% | 9 | 3 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 79 | 58 | 67 | 22 | 36 | 18 | 76.9% | 10.2% | 94.1% | 104.2 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 16 | 9 | 3 | 0 | 21 | 8 | 8 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 17 | 21 | 7 | 13 | 6 | 33.3% | 3.6% | 90.5% | 94.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 38 | 11 | 9 | 18 | 0 | 23 | 9 | 6 | 23 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 26 | 19 | 20 | 6 | 13 | 6 | 57.1% | 15.8% | 87.0% | 102.7 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 13 | 13 | 6 | 0 | 26 | 7 | 25 | 25 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 17 | 23 | 6 | 11 | 6 | 0.0% | 3.1% | 88.5% | 91.6 | Unlucky | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 1 | 6 | 0 | 73 | 22 | 20 | 31 | 0 | 61 | 16 | 14 | 51 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 50 | 36 | 44 | 14 | 24 | 12 | 72.7% | 12.3% | 93.4% | 105.8 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 16 | 8 | 7 | 0 | 44 | 18 | 10 | 22 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 16 | 25 | 5 | 11 | 5 | 28.6% | 6.5% | 84.1% | 90.5 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 21 | 6 | 3 | 12 | 0 | 40 | 15 | 12 | 21 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 22 | 15 | 25 | 6 | 11 | 5 | 83.3% | 23.8% | 97.5% | 121.3 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 0 | 1 | 53 | 19 | 17 | 12 | 9 | 28 | 12 | 17 | 22 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 29 | 20 | 22 | 7 | 13 | 7 | 60.0% | 9.4% | 85.7% | 95.1 | FUN | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 33 | 11 | 10 | 8 | 7 | 39 | 9 | 8 | 24 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 25 | 18 | 26 | 6 | 13 | 6 | 16.7% | 12.1% | 87.2% | 99.3 | FUN | |
20 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | -6 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 49 | 12 | 15 | 19 | 3 | 80 | 22 | 18 | 48 | 3 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 43 | 28 | 54 | 14 | 26 | 12 | 12.5% | 2.0% | 91.3% | 93.3 | DULL | |
_Vs Division | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 10 | 17 | -7 | 4 | 0.400 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 3 | 0 | 123 | 36 | 40 | 40 | 10 | 178 | 57 | 43 | 126 | 14 | 4 | 28.57% | 18 | 2 | 88.89% | 0 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 114 | 78 | 127 | 36 | 66 | 31 | 28.6% | 8.1% | 90.4% | 98.6 | Unlucky | |
_Vs Conference | 12 | 4 | 5 | 0 | 1 | 1 | 0 | 1 | 29 | 39 | -10 | 12 | 0.500 | 29 | 53 | 82 | 0 | 1 | 7 | 13 | 8 | 1 | 359 | 118 | 126 | 105 | 13 | 411 | 129 | 125 | 283 | 45 | 6 | 13.33% | 47 | 12 | 74.47% | 1 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 293 | 206 | 287 | 84 | 151 | 74 | 46.0% | 8.1% | 90.5% | 98.6 | Unlucky | |
_Since Last GM Reset | 26 | 11 | 9 | 0 | 1 | 2 | 1 | 2 | 79 | 78 | 1 | 30 | 0.577 | 79 | 138 | 217 | 0 | 1 | 28 | 23 | 26 | 2 | 783 | 268 | 259 | 239 | 27 | 849 | 269 | 270 | 574 | 94 | 16 | 17.02% | 116 | 24 | 79.31% | 2 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 635 | 442 | 621 | 187 | 325 | 160 | 53.8% | 10.1% | 90.8% | 100.9 | FUN | |
Total | 26 | 11 | 9 | 0 | 1 | 2 | 1 | 2 | 79 | 78 | 1 | 30 | 0.577 | 79 | 138 | 217 | 0 | 1 | 28 | 23 | 26 | 2 | 783 | 268 | 259 | 239 | 27 | 849 | 269 | 270 | 574 | 94 | 16 | 17.02% | 116 | 24 | 79.31% | 2 | 465 | 938 | 49.57% | 498 | 977 | 50.97% | 203 | 405 | 50.12% | 635 | 442 | 621 | 187 | 325 | 160 | 53.8% | 10.1% | 90.8% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 938 |
Neutral Zone Start | 405 |
Defensive Zone Start | 977 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1166 |
Faceoffs Lost | 1154 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 16 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 7 |
Lost | 6 | 3 |
Overtime Lost | 2 | 2 |
PP Attempt | 94 |
---|---|
PP Goal | 16 |
PK Attempt | 116 |
PK Goal Against | 24 |
Home | |
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Shots For | 30.1 |
Shots Against | 32.7 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 22.1 |
Shots Blocked | 10.3 |
Pim | 10.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Mar 22 | @ | CHI3,SJS1 | RECAP | |||||||||||
Tue, Mar 25 | @ | HAR2,SJS3 | RECAP | |||||||||||
Sat, Mar 29 | @ | UTA3,SJS4 (OT) | RECAP | |||||||||||
Sun, Mar 30 | @ | SJS0,VGK5 | RECAP | |||||||||||
Wed, Apr 2 | @ | NYI2,SJS4 | RECAP | |||||||||||
Sun, Apr 6 | @ | TBL3,SJS7 | RECAP | |||||||||||
Tue, Apr 8 | @ | SJS6,CBJ3 | RECAP | |||||||||||
Thu, Apr 10 | @ | SJS1,VGK2 (OT) | RECAP | |||||||||||
Fri, Apr 11 | @ | NJD4,SJS2 | RECAP | |||||||||||
Mon, Apr 14 | @ | SJS3,NYR4 (OT) | RECAP | |||||||||||
Tue, Apr 15 | @ | SEA5,SJS4 (SO) | RECAP | |||||||||||
Sun, Apr 20 | @ | OTT4,SJS1 | RECAP | |||||||||||
Tue, Apr 22 | @ | SJS5,PIT4 (SO) | RECAP | |||||||||||
Thu, Apr 24 | @ | UTA0,SJS2 | RECAP | |||||||||||
Sat, Apr 26 | @ | SJS1,BOS2 | RECAP | |||||||||||
Mon, Apr 28 | @ | SJS2,VAN1 | RECAP | |||||||||||
Tue, Apr 29 | @ | MIN3,SJS1 | RECAP | |||||||||||
Fri, May 2 | @ | SJS5,TOR1 | RECAP | |||||||||||
Sat, May 3 | @ | BUF3,SJS6 | RECAP | |||||||||||
Tue, May 6 | @ | SJS2,WPG7 | RECAP | |||||||||||
Thu, May 8 | @ | WSH2,SJS1 | RECAP | |||||||||||
Sat, May 10 | @ | SJS4,COL3 | RECAP | |||||||||||
Mon, May 12 | @ | SJS3,CBJ1 | RECAP | |||||||||||
Tue, May 13 | @ | VAN4,SJS3 | RECAP | |||||||||||
Fri, May 16 | @ | NJD4,SJS3 (SO) | RECAP | |||||||||||
Mon, May 19 | @ | SJS5,UTA3 | RECAP | |||||||||||
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Sun, Aug 17 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Aug 18 | @ | |||||||||||||
Thu, Aug 21 | @ | |||||||||||||
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Mon, Sep 15 | @ | |||||||||||||
Sun, Sep 21 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,515,942$ | 1,500,000$ | 78,015,942$ | 5,484,058$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center | |
City | San Jose | ||
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 | 67759 | 64555 | 23265 | 45675 | 11435 |
Attendance PCT | 80.67% | 83.84% | 83.09% | 81.56% | 81.68% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 15192 - 82.12% | 1,634,038$ | 22,876,530$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,515,942$ | 79,115,942$ | 0$ | 1,500,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,368,212$ | 76,515,942$ | 24,368,212$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
44,119,022$ | 128 | 404,846$ | 51,820,288$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
53,588,368$ | 78,015,942$ | 18,234,906$ | 13,222,241$ |
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 |
---|---|---|---|---|---|
Cole Eiserman | 15 | 14 | |||
Cutter Gauthier | 12 | 3 | |||
Devon Levi | 2023 | 64 | |||
Elias Pettersson | 11 | 73 | |||
Jackson Hallum | 8 | 32 | |||
Jonathan Myrenberg | 12 | 95 | |||
Lucas Forsell | 13 | 69 | |||
Mattias Havelid | 12 | 36 | |||
Niklas Kokko | 11 | 83 | |||
Noah Warren | 11 | 50 | |||
Noel Gunler | 8 | 20 | |||
Sacha Boisvert | 15 | 25 | |||
Sawyer Mynio | 14 | 69 | |||
Sean Behrens | 10 | 33 | |||
Tom Willander | 14 | 14 | |||
Victor Mancini | 15 | 43 | |||
Vilmer Alriksson | 14 | 76 |
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 |
---|---|---|---|---|---|
Cole Eiserman | 15 | 14 | |||
Cutter Gauthier | 12 | 3 | |||
Devon Levi | 2023 | 64 | |||
Elias Pettersson | 11 | 73 | |||
Jackson Hallum | 8 | 32 | |||
Jonathan Myrenberg | 12 | 95 | |||
Lucas Forsell | 13 | 69 | |||
Mattias Havelid | 12 | 36 | |||
Niklas Kokko | 11 | 83 | |||
Noah Warren | 11 | 50 | |||
Noel Gunler | 8 | 20 | |||
Sacha Boisvert | 15 | 25 | |||
Sawyer Mynio | 14 | 69 | |||
Sean Behrens | 10 | 33 | |||
Tom Willander | 14 | 14 | |||
Victor Mancini | 15 | 43 | |||
Vilmer Alriksson | 14 | 76 |
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