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San Jose Sharks 30-21-5, 65pts · 6th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 57 | 37 | 86 | 64 | 68 | 85 | 78 | 63 | 74 | 65 | 58 | 60 | 62 | 70 | 72 | 35 | 75 | 0 | 31 | 800,000$/2yrs | |||
![]() | 62 | LW/RW | 100.00 | 72 | 34 | 88 | 76 | 68 | 90 | 80 | 75 | 54 | 78 | 78 | 80 | 71 | 73 | 72 | 57 | 75 | 0 | 29 | 4,500,000$/3yrs | |||
![]() | 73 | C/LW/RW | 100.00 | 68 | 35 | 92 | 73 | 75 | 87 | 90 | 79 | 63 | 76 | 82 | 64 | 80 | 82 | 76 | 44 | 75 | 0 | 32 | 7,500,000$/4yrs | |||
![]() | 50 | LW | 100.00 | 76 | 39 | 94 | 65 | 83 | 80 | 84 | 64 | 61 | 63 | 62 | 73 | 61 | 72 | 70 | 36 | 75 | 0 | 29 | 950,000$/1yrs | |||
![]() | 94 | LW/RW | 100.00 | 71 | 38 | 86 | 66 | 69 | 77 | 86 | 63 | 61 | 62 | 60 | 72 | 63 | 69 | 70 | 36 | 75 | 0 | 28 | 775,000$/1yrs | |||
![]() | 15 | LW/RW | 100.00 | 64 | 37 | 92 | 74 | 73 | 81 | 82 | 72 | 56 | 68 | 70 | 62 | 76 | 70 | 71 | 72 | 75 | 0 | 28 | 1,900,000$/2yrs | |||
![]() | 55 | C | 100.00 | 67 | 57 | 79 | 82 | 85 | 91 | 89 | 81 | 78 | 79 | 83 | 67 | 82 | 80 | 78 | 68 | 75 | 0 | 31 | 8,500,000$/7yrs | |||
![]() | 36 | C | 100.00 | 75 | 44 | 89 | 65 | 90 | 79 | 88 | 64 | 62 | 61 | 63 | 80 | 64 | 66 | 69 | 47 | 75 | 0 | 26 | 1,350,000$/1yrs | |||
![]() | 17 | C | 100.00 | 80 | 77 | 79 | 68 | 91 | 86 | 90 | 67 | 80 | 72 | 65 | 89 | 63 | 79 | 88 | 52 | 75 | 0 | 31 | 3,250,000$/2yrs | |||
![]() | 88 | RW | 100.00 | 70 | 38 | 84 | 88 | 74 | 92 | 87 | 89 | 57 | 86 | 93 | 66 | 91 | 75 | 74 | 67 | 75 | 0 | 28 | 11,250,000$/7yrs | |||
![]() | 59 | LW/RW | 100.00 | 69 | 38 | 94 | 74 | 78 | 84 | 77 | 72 | 63 | 69 | 71 | 65 | 74 | 63 | 65 | 81 | 75 | 0 | 24 | 2,100,000$/2yrs | |||
![]() | 71 | C | 100.00 | 65 | 34 | 94 | 77 | 72 | 88 | 89 | 76 | 86 | 78 | 75 | 85 | 76 | 78 | 73 | 55 | 75 | 0 | 32 | 5,900,000$/3yrs | |||
![]() | 0 | D | 100.00 | 79 | 57 | 75 | 66 | 91 | 89 | 90 | 62 | 30 | 68 | 55 | 82 | 51 | 69 | 68 | 48 | 75 | 0 | 28 | 2,500,000$/2yrs | |||
![]() | 42 | D | 100.00 | 84 | 82 | 60 | 63 | 96 | 75 | 84 | 61 | 30 | 65 | 58 | 60 | 49 | 72 | 76 | 53 | 75 | 0 | 32 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 68 | 70 | 64 | 73 | 89 | 83 | 59 | 30 | 63 | 56 | 76 | 50 | 69 | 70 | 40 | 75 | 0 | 29 | 1,100,000$/2yrs | |||
![]() | 17 | D | 100.00 | 73 | 34 | 84 | 74 | 71 | 93 | 87 | 72 | 30 | 83 | 66 | 76 | 56 | 69 | 71 | 60 | 75 | 0 | 27 | 7,250,000$/8yrs | |||
![]() | 71 | D | 100.00 | 73 | 37 | 85 | 67 | 84 | 90 | 86 | 63 | 30 | 72 | 56 | 84 | 49 | 69 | 70 | 59 | 75 | 0 | 27 | 4,000,000$/4yrs | |||
![]() | 73 | D | 100.00 | 76 | 39 | 71 | 77 | 81 | 94 | 87 | 76 | 30 | 85 | 71 | 83 | 58 | 70 | 75 | 71 | 75 | 0 | 27 | 9,500,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 91 | RW | 100.00 | 72 | 38 | 90 | 63 | 81 | 76 | 72 | 60 | 62 | 56 | 64 | 61 | 63 | 65 | 67 | 59 | 75 | 0 | 25 | ||||
![]() | 3 | D | 88.55 | 71 | 40 | 83 | 67 | 85 | 91 | 82 | 62 | 30 | 75 | 60 | 90 | 51 | 73 | 71 | 53 | 75 | 0 | 30 | 4,250,000$/3yrs | |||
![]() | 0 | D | 0.00 | 66 | 36 | 95 | 68 | 80 | 83 | 60 | 68 | 30 | 77 | 50 | 69 | 49 | 71 | 73 | 45 | 75 | 0 | 31 | 2,500,000$/1yrs | |||
TEAM AVERAGE | 94.67 | 72 | 45 | 84 | 71 | 79 | 86 | 83 | 69 | 52 | 71 | 66 | 74 | 64 | 72 | 72 | 54 | 75 | 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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 98 | 87 | 82 | 89 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 76 | 85 | 54 | 75 | 0 | 31 | 5,000,000$/1yrs |
![]() | 31 | 99.00 | 88 | 79 | 74 | 98 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 71 | 84 | 59 | 75 | 0 | 31 | 2,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 93 | 83 | 78 | 94 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 74 | 85 | 57 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 89 | 85 | 88 | 87 | 84 | 78 | 64 | USA | 56 | 3 | 5,000,000$ |
General Manager | Francois Burelle |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Pastrnak | 88 | RW | 56 | 38 | 37 | 75 | 18 | 30 | 0 | 86 | 294 | 73 | 222 | 12.93% | 8 | 20.18 | 9 | 14 | 23 | 176 | 0 | 0 | 0 | 0 | 2 | 6 | 45.92% | 98 | 0 | 0 | 0 | 2 | 1.33 | 2 | 4 | ||
2 | Mark Scheifele | 55 | C | 56 | 23 | 39 | 62 | 16 | 44 | 0 | 76 | 202 | 63 | 136 | 11.39% | 3 | 21.00 | 4 | 11 | 15 | 174 | 0 | 0 | 0 | 2 | 4 | 2 | 53.79% | 1638 | 0 | 0 | 0 | 0 | 1.05 | 0 | 4 | ||
3 | William Karlsson | 71 | C | 55 | 25 | 35 | 60 | 16 | 16 | 0 | 37 | 211 | 57 | 142 | 11.85% | 14 | 18.00 | 4 | 9 | 13 | 141 | 0 | 0 | 0 | 105 | 3 | 1 | 54.01% | 1433 | 0 | 0 | 0 | 1 | 1.21 | 0 | 3 | ||
4 | Artturi Lehkonen | 62 | LW/RW | 56 | 25 | 29 | 54 | 22 | 18 | 0 | 71 | 199 | 47 | 163 | 12.56% | 8 | 19.71 | 4 | 9 | 13 | 175 | 0 | 0 | 0 | 37 | 4 | 2 | 37.50% | 80 | 0 | 0 | 1 | 1 | 0.98 | 1 | 1 | ||
5 | Charlie McAvoy | 73 | D | 56 | 13 | 37 | 50 | -5 | 68 | 0 | 118 | 116 | 27 | 62 | 11.21% | 79 | 24.36 | 11 | 7 | 18 | 187 | 0 | 0 | 0 | 95 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
6 | Tyler Toffoli | 73 | C/LW/RW | 56 | 21 | 23 | 44 | 6 | 30 | 0 | 46 | 147 | 42 | 128 | 14.29% | 6 | 18.76 | 3 | 7 | 10 | 152 | 0 | 0 | 0 | 53 | 4 | 1 | 49.32% | 148 | 0 | 0 | 0 | 0 | 0.84 | 2 | 4 | ||
7 | Filip Hronek | 17 | D | 56 | 8 | 35 | 43 | 14 | 44 | 0 | 61 | 78 | 24 | 78 | 10.26% | 80 | 20.77 | 4 | 10 | 14 | 181 | 0 | 0 | 0 | 40 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
8 | Jonas Siegenthaler | 71 | D | 56 | 3 | 22 | 25 | 14 | 32 | 0 | 85 | 75 | 18 | 55 | 4.00% | 88 | 21.34 | 1 | 3 | 4 | 140 | 0 | 0 | 0 | 197 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
9 | Adam Pelech | 3 | D | 48 | 3 | 17 | 20 | 2 | 20 | 0 | 46 | 39 | 14 | 25 | 7.69% | 84 | 22.16 | 1 | 0 | 1 | 6 | 0 | 1 | 1 | 184 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.38 | 0 | 0 | ||
10 | Kyle Burroughs | 0 | D | 56 | 2 | 17 | 19 | -19 | 62 | 0 | 114 | 28 | 13 | 14 | 7.14% | 70 | 16.24 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 196 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
11 | Niko Mikkola | 0 | D | 54 | 1 | 17 | 18 | -10 | 46 | 0 | 85 | 48 | 17 | 40 | 2.08% | 86 | 19.34 | 0 | 4 | 4 | 92 | 0 | 1 | 1 | 179 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
12 | Yegor Chinakhov | 59 | LW/RW | 52 | 6 | 8 | 14 | 4 | 16 | 0 | 46 | 88 | 21 | 53 | 6.82% | 6 | 14.15 | 2 | 5 | 7 | 118 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 51 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
13 | Sonny Milano | 15 | LW/RW | 56 | 5 | 7 | 12 | -20 | 6 | 0 | 22 | 90 | 38 | 70 | 5.56% | 3 | 11.98 | 1 | 3 | 4 | 156 | 0 | 0 | 0 | 0 | 1 | 0 | 41.94% | 62 | 0 | 0 | 0 | 0 | 0.36 | 0 | 2 | ||
14 | Adam Lowry | 17 | C | 56 | 2 | 7 | 9 | -27 | 46 | 0 | 88 | 109 | 33 | 83 | 1.83% | 28 | 14.26 | 0 | 0 | 0 | 9 | 1 | 0 | 1 | 247 | 0 | 0 | 51.60% | 1312 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
15 | Joel Kiviranta | 94 | LW/RW | 56 | 5 | 2 | 7 | -20 | 10 | 0 | 35 | 42 | 10 | 22 | 11.90% | 6 | 9.17 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 125 | 1 | 0 | 51.11% | 45 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
16 | Morgan Barron | 36 | C | 56 | 3 | 3 | 6 | -16 | 36 | 0 | 49 | 53 | 16 | 45 | 5.66% | 14 | 14.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 223 | 1 | 0 | 29.82% | 57 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
17 | Eric Robinson | 50 | LW | 47 | 2 | 2 | 4 | -11 | 10 | 0 | 16 | 35 | 7 | 35 | 5.71% | 6 | 6.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 26.92% | 26 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
18 | Dylan McIlrath | 42 | D | 8 | 0 | 1 | 1 | -2 | 10 | 0 | 17 | 7 | 0 | 0 | 0.00% | 7 | 13.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
19 | Andrew Poturalski | 0 | LW/RW | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 2 | 1 | 0.00% | 1 | 7.21 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 47.22% | 36 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 942 | 185 | 338 | 523 | -17 | 544 | 0 | 1100 | 1864 | 522 | 1374 | 9.92% | 597 | 17.16 | 44 | 82 | 126 | 1721 | 1 | 2 | 3 | 1704 | 28 | 14 | 51.89% | 4986 | 0 | 0 | 2 | 4 | 0.65 | 5 | 18 |
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 | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anthony Stolarz | Sharks | 40 | 24 | 11 | 3 | 0.909 | 3.14 | 2310 | 0 | 0 | 121 | 1325 | 0 | 0 | 2 | 0.733 | 15 | 38 | 18 | 2 | 5 | 0 |
2 | Linus Ullmark | Sharks | 20 | 6 | 10 | 2 | 0.889 | 3.93 | 1083 | 2 | 0 | 71 | 638 | 0 | 0 | 1 | 0.600 | 5 | 18 | 38 | 1 | 1 | 1 |
Team Total or Average | 60 | 30 | 21 | 5 | 0.902 | 3.40 | 3393 | 2 | 0 | 192 | 1963 | 0 | 0 | 3 | 0.700 | 20 | 56 | 56 | 3 | 6 | 1 |
Projected Total Cap Hit | 85,530,984$ |
Projected Cap Space | 2,469,016$ |
Retains And Buyout Cap Hit | 2,333,333$ |
Salary Cap To Date | 54,418,303$ |
Players In Salary Cap | 25 |
LTIR Players | 2 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Adam Pelech ![]() ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | |||||
Andrew Poturalski | LW/RW/G | 31 | 800,000$ | 800,000$ | 800,000$ | ||||||
Anthony Stolarz ![]() | D/G | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Artturi Lehkonen ![]() | LW/RW/G | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Charlie McAvoy ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||
David Pastrnak ![]() | RW | 28 | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | UFA |
Dylan McIlrath ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Eric Robinson | LW | 29 | 950,000$ | 950,000$ | |||||||
Filip Hronek | D | 27 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ |
Joel Kiviranta ![]() | LW/RW | 28 | 775,000$ | 775,000$ | RFA | ||||||
Jonas Siegenthaler ![]() | D | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Kyle Burroughs | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Linus Ullmark ![]() | D/G | 31 | 5,000,000$ | 5,000,000$ | |||||||
Mark Scheifele ![]() | C | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Morgan Barron ![]() | C | 26 | 1,350,000$ | 1,350,000$ | RFA | ||||||
Niko Mikkola | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Scott Reedy ![]() | RW | 25 | 0$ | RFA | |||||||
Sonny Milano | LW/RW | 28 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Tucker Poolman ![]() | D | 31 | 2,500,000$ | 2,500,000$ | |||||||
Tyler Toffoli | C/LW/RW/G | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
William Karlsson ![]() | C | 32 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | ||||
Yegor Chinakhov | LW/RW | 24 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA |
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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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 5 | 14 | 16 | 0 | 46 | 6 | 14 | 18 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 23 | 15 | 22 | 7 | 13 | 6 | 28.6% | 8.6% | 84.8% | 93.4 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 63 | 26 | 22 | 15 | 0 | 62 | 13 | 12 | 40 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 51 | 33 | 44 | 15 | 24 | 12 | 42.9% | 6.3% | 93.5% | 99.9 | DULL | |
3 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.667 | 13 | 20 | 33 | 0 | 0 | 3 | 7 | 2 | 1 | 107 | 39 | 28 | 35 | 5 | 97 | 30 | 26 | 63 | 7 | 2 | 28.57% | 11 | 4 | 63.64% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 74 | 53 | 70 | 20 | 40 | 19 | 50.0% | 12.1% | 84.5% | 96.7 | FUN | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 59 | 12 | 24 | 23 | 0 | 80 | 23 | 18 | 35 | 3 | 1 | 33.33% | 9 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 40 | 27 | 55 | 16 | 23 | 11 | 58.3% | 13.6% | 93.8% | 107.3 | LUCKY | |
5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 11 | -5 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 58 | 18 | 15 | 24 | 1 | 86 | 22 | 28 | 40 | 1 | 1 | 100.00% | 14 | 1 | 92.86% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 40 | 26 | 58 | 15 | 25 | 11 | 33.3% | 10.3% | 87.2% | 97.6 | FUN | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 74 | 22 | 24 | 26 | 2 | 57 | 19 | 14 | 43 | 13 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 51 | 36 | 46 | 15 | 26 | 13 | 57.1% | 5.4% | 93.0% | 98.4 | DULL | |
7 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 15 | -10 | 1 | 0.167 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 1 | 1 | 84 | 31 | 28 | 24 | 5 | 134 | 32 | 32 | 47 | 12 | 1 | 8.33% | 16 | 3 | 81.25% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 66 | 42 | 78 | 24 | 39 | 18 | 25.0% | 6.0% | 88.8% | 94.8 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 0 | 3 | 0 | 22 | 7 | 5 | 10 | 0 | 35 | 15 | 4 | 18 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 19 | 12 | 26 | 7 | 13 | 6 | 37.5% | 13.6% | 85.7% | 99.4 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 0 | 5 | 0 | 68 | 23 | 17 | 28 | 0 | 65 | 19 | 16 | 38 | 11 | 2 | 18.18% | 5 | 1 | 80.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 49 | 35 | 46 | 14 | 24 | 12 | 57.1% | 8.8% | 93.8% | 102.7 | DULL | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 0 | 4 | 3 | 0 | 64 | 14 | 25 | 25 | 0 | 54 | 23 | 16 | 41 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 47 | 33 | 47 | 14 | 25 | 12 | 70.0% | 10.9% | 94.4% | 105.4 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 12 | 19 | 1 | 0 | 2 | 4 | 1 | 0 | 47 | 18 | 16 | 13 | 0 | 65 | 16 | 14 | 35 | 9 | 3 | 33.33% | 7 | 1 | 85.71% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 45 | 29 | 49 | 14 | 25 | 13 | 28.6% | 14.9% | 83.1% | 98.0 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 53 | 14 | 22 | 17 | 0 | 45 | 5 | 12 | 14 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 25 | 17 | 21 | 7 | 13 | 7 | 71.4% | 9.4% | 95.6% | 105.0 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 10 | 10 | 14 | 0 | 29 | 10 | 4 | 17 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 24 | 17 | 23 | 6 | 12 | 6 | 0.0% | 0.0% | 82.8% | 82.8 | Unlucky | |
14 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 5 | 3 | 1 | 1 | 72 | 26 | 28 | 16 | 2 | 43 | 13 | 12 | 48 | 11 | 5 | 45.45% | 6 | 1 | 83.33% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 50 | 36 | 44 | 14 | 26 | 12 | 62.5% | 13.9% | 90.7% | 104.6 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 7 | 2 | 2 | 0 | 68 | 27 | 17 | 24 | 0 | 104 | 24 | 14 | 46 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 40 | 27 | 56 | 13 | 23 | 11 | 69.2% | 16.2% | 95.2% | 111.4 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 40 | 15 | 12 | 13 | 0 | 40 | 7 | 8 | 21 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 23 | 15 | 24 | 7 | 12 | 5 | 37.5% | 10.0% | 85.0% | 95.0 | FUN | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 22 | 33 | 0 | 0 | 5 | 2 | 4 | 0 | 101 | 29 | 42 | 30 | 0 | 94 | 31 | 24 | 62 | 11 | 1 | 9.09% | 12 | 3 | 75.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 70 | 48 | 71 | 23 | 38 | 19 | 66.7% | 10.9% | 91.5% | 102.4 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 48 | 17 | 18 | 13 | 0 | 30 | 13 | 10 | 15 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 22 | 15 | 24 | 7 | 12 | 6 | 62.5% | 14.6% | 90.0% | 104.6 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 48 | 14 | 13 | 21 | 0 | 25 | 7 | 4 | 21 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 24 | 15 | 22 | 8 | 13 | 6 | 66.7% | 6.3% | 96.0% | 102.3 | DULL | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 30 | 13 | 7 | 10 | 0 | 44 | 13 | 12 | 21 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 21 | 14 | 25 | 8 | 13 | 6 | 71.4% | 20.0% | 90.9% | 110.9 | FUN | |
21 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 0 | 2 | 2 | 63 | 28 | 15 | 17 | 6 | 77 | 20 | 22 | 44 | 1 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 43 | 28 | 55 | 17 | 27 | 12 | 75.0% | 9.5% | 94.8% | 104.3 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 4 | 0 | 0 | 62 | 19 | 18 | 25 | 0 | 82 | 20 | 34 | 37 | 7 | 2 | 28.57% | 17 | 3 | 82.35% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 42 | 27 | 53 | 15 | 23 | 10 | 50.0% | 9.7% | 91.5% | 101.1 | LUCKY | |
23 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 18 | 28 | 1 | 0 | 4 | 2 | 4 | 0 | 104 | 37 | 38 | 29 | 0 | 112 | 30 | 22 | 52 | 10 | 6 | 60.00% | 10 | 2 | 80.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 68 | 48 | 73 | 21 | 37 | 18 | 28.6% | 9.6% | 89.3% | 98.9 | FUN | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 35 | 11 | 11 | 13 | 0 | 34 | 17 | 8 | 12 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 20 | 13 | 26 | 7 | 12 | 6 | 50.0% | 11.4% | 91.2% | 102.6 | LUCKY | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 94 | 43 | 18 | 33 | 0 | 49 | 8 | 18 | 37 | 10 | 3 | 30.00% | 7 | 1 | 85.71% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 53 | 37 | 41 | 12 | 24 | 13 | 60.0% | 6.4% | 93.9% | 100.3 | DULL | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 3 | 33 | 7 | 11 | 11 | 12 | 52 | 10 | 6 | 18 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 23 | 15 | 27 | 7 | 14 | 6 | 62.5% | 18.2% | 90.4% | 108.6 | FUN | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 30 | 10 | 11 | 9 | 0 | 69 | 21 | 28 | 38 | 6 | 1 | 16.67% | 13 | 1 | 92.31% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 39 | 23 | 53 | 16 | 26 | 12 | 50.0% | 16.7% | 92.8% | 109.4 | LUCKY | |
28 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 2 | 1 | 71 | 18 | 27 | 24 | 2 | 49 | 17 | 16 | 40 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 52 | 37 | 42 | 14 | 25 | 12 | 50.0% | 9.9% | 85.7% | 95.6 | FUN | |
29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 7 | 2 | 0 | 0 | 118 | 44 | 35 | 39 | 0 | 111 | 58 | 50 | 63 | 7 | 2 | 28.57% | 23 | 6 | 73.91% | 1 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 70 | 48 | 73 | 22 | 35 | 17 | 46.7% | 7.6% | 87.4% | 95.0 | Unlucky | |
30 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 9 | 15 | -6 | 1 | 0.167 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 1 | 90 | 34 | 20 | 33 | 8 | 96 | 29 | 26 | 53 | 13 | 1 | 7.69% | 12 | 2 | 83.33% | 0 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 71 | 48 | 74 | 23 | 39 | 19 | 38.1% | 10.0% | 84.4% | 94.4 | FUN | |
_Vs Division | 16 | 6 | 8 | 0 | 1 | 0 | 0 | 1 | 51 | 62 | -11 | 15 | 0.469 | 51 | 86 | 137 | 0 | 0 | 21 | 14 | 15 | 2 | 566 | 193 | 165 | 200 | 13 | 517 | 184 | 150 | 317 | 60 | 9 | 15.00% | 67 | 17 | 74.63% | 1 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 384 | 267 | 381 | 118 | 203 | 101 | 48.3% | 9.0% | 88.0% | 97.0 | FUN | |
_Vs Conference | 34 | 14 | 16 | 0 | 1 | 1 | 0 | 2 | 107 | 126 | -19 | 33 | 0.485 | 107 | 185 | 292 | 2 | 0 | 44 | 30 | 32 | 3 | 1148 | 407 | 344 | 387 | 19 | 1183 | 352 | 306 | 655 | 123 | 26 | 21.14% | 141 | 26 | 81.56% | 1 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 797 | 547 | 830 | 251 | 430 | 212 | 44.8% | 9.3% | 89.3% | 98.7 | FUN | |
_Since Last GM Reset | 56 | 24 | 21 | 0 | 4 | 3 | 2 | 2 | 191 | 197 | -6 | 65 | 0.580 | 191 | 331 | 522 | 3 | 0 | 69 | 57 | 59 | 10 | 1875 | 631 | 591 | 630 | 43 | 1966 | 571 | 524 | 1077 | 202 | 44 | 21.78% | 242 | 43 | 82.23% | 1 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 1298 | 883 | 1383 | 422 | 715 | 351 | 48.8% | 10.2% | 90.0% | 100.2 | FUN | |
Total | 56 | 24 | 21 | 0 | 4 | 3 | 2 | 2 | 191 | 197 | -6 | 65 | 0.580 | 191 | 331 | 522 | 3 | 0 | 69 | 57 | 59 | 10 | 1875 | 631 | 591 | 630 | 43 | 1966 | 571 | 524 | 1077 | 202 | 44 | 21.78% | 242 | 43 | 82.23% | 1 | 1082 | 2111 | 51.26% | 1173 | 2239 | 52.39% | 528 | 990 | 53.33% | 1298 | 883 | 1383 | 422 | 715 | 351 | 48.8% | 10.2% | 90.0% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2111 |
Neutral Zone Start | 990 |
Defensive Zone Start | 2239 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2783 |
Faceoffs Lost | 2557 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 21.8 | 20.31 |
3rd Period | 33.1 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 143 |
---|---|
PP Goal | 44 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 17 | 13 |
Lost | 9 | 12 |
Overtime Lost | 2 | 3 |
PP Attempt | 202 |
---|---|
PP Goal | 44 |
PK Attempt | 242 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 33.5 |
Shots Against | 35.1 |
Goals For | 3.4 |
Goals Against | 3.5 |
Hits | 19.2 |
Shots Blocked | 10.2 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blues7,Sharks2 | RECAP | |||||||||||
2024-10-12 | @ | Ducks1,Sharks5 | RECAP | |||||||||||
2024-10-15 | @ | Sharks2,Stars4 | RECAP | |||||||||||
2024-10-17 | @ | Sharks6,Blackhawks4 | RECAP | |||||||||||
2024-10-18 | @ | Sharks3,Jets1 | RECAP | |||||||||||
2024-10-20 | @ | Avalanche1,Sharks2 | RECAP | |||||||||||
2024-10-22 | @ | Sharks1,Ducks3 | RECAP | |||||||||||
2024-10-24 | @ | Sharks4,Kings2 | RECAP | |||||||||||
2024-10-26 | @ | Sharks2,Golden Knights3 | RECAP | |||||||||||
2024-10-28 | @ | Sharks6,Hockey Club4 | RECAP | |||||||||||
2024-10-29 | @ | Kings3,Sharks5 | RECAP | |||||||||||
2024-10-31 | @ | Blackhawks1,Sharks5 | RECAP | |||||||||||
2024-11-02 | @ | Canucks6,Sharks2 | RECAP | |||||||||||
2024-11-05 | @ | Blue Jackets2,Sharks3 (OT) | RECAP | |||||||||||
2024-11-07 | @ | Wild2,Sharks3 | RECAP | |||||||||||
2024-11-10 | @ | Sharks3,Devils2 (OT) | RECAP | |||||||||||
2024-11-11 | @ | Sharks4,Flyers3 | RECAP | |||||||||||
2024-11-14 | @ | Sharks6,Rangers5 (SO) | RECAP | |||||||||||
2024-11-16 | @ | Sharks2,Penguins3 (OT) | RECAP | |||||||||||
2024-11-18 | @ | Red Wings3,Sharks1 | RECAP | |||||||||||
2024-11-20 | @ | Sharks5,Stars7 | RECAP | |||||||||||
2024-11-21 | @ | Sharks0,Blues4 | RECAP | |||||||||||
2024-11-23 | @ | Sabres2,Sharks5 | RECAP | |||||||||||
2024-11-25 | @ | Kings3,Sharks2 | RECAP | |||||||||||
2024-11-27 | @ | Senators3,Sharks4 | RECAP | |||||||||||
2024-11-29 | @ | Kraken4,Sharks3 (SO) | RECAP | |||||||||||
2024-11-30 | @ | Sharks3,Kraken6 | RECAP | |||||||||||
2024-12-03 | @ | Sharks3,Capitals5 | RECAP | |||||||||||
2024-12-05 | @ | Sharks5,Lightning4 (OT) | RECAP | |||||||||||
2024-12-07 | @ | Sharks1,Panthers3 | RECAP | |||||||||||
2024-12-10 | @ | Sharks4,Hurricanes6 | RECAP | |||||||||||
2024-12-12 | @ | Sharks3,Blues4 (SO) | RECAP | |||||||||||
2024-12-14 | @ | Hockey Club5,Sharks3 | RECAP | |||||||||||
2024-12-17 | @ | Jets2,Sharks4 | RECAP | |||||||||||
2024-12-19 | @ | Avalanche3,Sharks2 | RECAP | |||||||||||
2024-12-21 | @ | Sharks3,Oilers1 | RECAP | |||||||||||
2024-12-23 | @ | Sharks4,Canucks3 | RECAP | |||||||||||
2024-12-27 | @ | Golden Knights2,Sharks4 | RECAP | |||||||||||
2024-12-28 | @ | Flames5,Sharks0 | RECAP | |||||||||||
2024-12-31 | @ | Flyers2,Sharks4 | RECAP | |||||||||||
2025-01-02 | @ | Lightning3,Sharks2 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Devils2,Sharks7 | RECAP | |||||||||||
2025-01-07 | @ | Golden Knights9,Sharks3 | RECAP | |||||||||||
2025-01-10 | @ | Sharks1,Hockey Club3 | RECAP | |||||||||||
2025-01-11 | @ | Wild1,Sharks3 | RECAP | |||||||||||
2025-01-14 | @ | Sharks4,Red Wings2 | RECAP | |||||||||||
2025-01-16 | @ | Sharks3,Blue Jackets2 (SO) | RECAP | |||||||||||
2025-01-18 | @ | Sharks6,Islanders4 | RECAP | |||||||||||
2025-01-20 | @ | Sharks3,Bruins7 | RECAP | |||||||||||
2025-01-21 | @ | Sharks4,Predators5 (OT) | RECAP | |||||||||||
2025-01-23 | @ | Predators6,Sharks2 | RECAP | |||||||||||
2025-01-25 | @ | Panthers4,Sharks5 | RECAP | |||||||||||
2025-01-27 | @ | Penguins1,Sharks2 | RECAP | |||||||||||
2025-01-30 | @ | Sharks3,Kraken5 | RECAP | |||||||||||
2025-02-04 | @ | Canadiens3,Sharks7 | RECAP | |||||||||||
2025-02-06 | @ | Canucks6,Sharks7 (OT) | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-13 | @ | |||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
90,850,000$ | 2,333,333$ | 85,530,984$ | 2,469,016$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center at San Jose | |
City | San Jose | ||
Capacity | 17562 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 3562 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 152033 | 129337 | 56000 | 96361 | 27707 |
Attendance PCT | 90.50% | 92.38% | 100.00% | 96.62% | 98.95% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 16480 - 93.84% | 2,075,771$ | 58,121,594$ | 17562 | 95 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
90,850,000$ | 81,750,000$ | 0$ | 2,333,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
60,734,236$ | 417,092$ | 54,418,303$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
26,985,026$ | 69 | 489,031$ | 33,743,139$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,585,591$ | 85,530,984$ | 165,162,014$ | 158,743,706$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
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2027 | |||||||
2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
Alex Young | 2021 | 216 | |||
Alexander Perevalov | 2022 | 36 | |||
Andre Gasseau | 2021 | 184 | |||
Cameron O'Neill | 2023 | 221 | |||
Cole O'Hara | 2023 | 223 | |||
Eric Engstrand | 2020 | 186 | |||
Eric Hjorth | 2019 | 112 | |||
Hugo Ollas | 2021 | 206 | ELC 2024-25 | Link | |
Jake Livanavage | 2022 | 160 | |||
Jamiro Reber | 2024 | 186 | |||
Jordan Gustafson | 2023 | 184 | Link | ||
Justin Coté | 2022 | 188 | |||
Justin Kipkie | 2023 | 189 | |||
Kenny Connors | 2023 | 182 | |||
Kyle Crnkovic | 2020 | 155 | |||
Luke Mittlestadt | 2023 | 102 | |||
Markus Vidicek | 2022 | 120 | |||
Noah Laba | 2023 | 215 | |||
Owen Lindmark | 2019 | 143 | |||
Roddy Ross | 2019 | 174 | |||
Shamil Shmakov | |||||
Simon Kjellberg | 2018 | 167 | |||
Simon Zether | 2024 | 63 |
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