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Full Scoreboard »» |
| San Jose Sharks 8-5-1, 17pts · 4th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Tavares | 0 | C/LW | 100.00 | 71 | 33 | 79 | 78 | 84 | 85 | 88 | 77 | 92 | 76 | 86 | 60 | 81 | 84 | 98 | 0 | 41 | 88 | 35 | 4,380,000$/4yrs | |||
Kyle Connor | 0 | LW | 99.00 | 57 | 34 | 92 | 85 | 73 | 89 | 88 | 80 | 57 | 79 | 86 | 63 | 83 | 73 | 72 | 0 | 47 | 88 | 28 | 7,500,000$/2yrs | |||
Alex Tuch | 0 | C/RW | 100.00 | 67 | 42 | 78 | 79 | 88 | 88 | 89 | 74 | 61 | 74 | 78 | 92 | 76 | 75 | 72 | 0 | 48 | 87 | 29 | 4,750,000$/1yrs | |||
Martin Necas | 0 | RW | 99.00 | 65 | 33 | 92 | 81 | 76 | 86 | 90 | 77 | 60 | 85 | 77 | 52 | 77 | 69 | 68 | 0 | 47 | 86 | 26 | 9,350,000$/6yrs | |||
Tim Stutzle | 0 | C/LW | 100.00 | 73 | 33 | 83 | 78 | 75 | 90 | 89 | 76 | 77 | 84 | 72 | 61 | 74 | 64 | 62 | 0 | 47 | 84 | 23 | 8,350,000$/6yrs | |||
Claude Giroux | 0 | C/LW | 100.00 | 63 | 32 | 90 | 71 | 73 | 88 | 90 | 70 | 88 | 76 | 69 | 74 | 70 | 89 | 99 | 0 | 47 | 83 | 37 | 6,250,000$/1yrs | |||
Ryan Nugent-Hopkins | 0 | C/LW | 100.00 | 62 | 33 | 86 | 72 | 76 | 88 | 89 | 71 | 78 | 77 | 71 | 76 | 71 | 80 | 78 | 0 | 47 | 83 | 32 | 5,125,000$/4yrs | |||
Pius Suter | 0 | C/RW | 100.00 | 65 | 32 | 91 | 69 | 69 | 83 | 88 | 67 | 78 | 66 | 72 | 73 | 70 | 74 | 73 | 0 | 47 | 79 | 29 | 2,500,000$/1yrs | |||
Simon Holmstrom | 0 | RW | 100.00 | 58 | 33 | 94 | 69 | 81 | 81 | 88 | 65 | 58 | 65 | 70 | 73 | 68 | 65 | 64 | 0 | 47 | 77 | 24 | 3,625,000$/2yrs | |||
Ryan Poehling | 0 | C/LW | 100.00 | 63 | 33 | 94 | 65 | 78 | 80 | 88 | 64 | 83 | 66 | 65 | 81 | 64 | 69 | 69 | 0 | 43 | 77 | 26 | 1,900,000$/1yrs | |||
Will Cuylle | 0 | LW | 100.00 | 92 | 43 | 79 | 67 | 85 | 77 | 90 | 64 | 58 | 64 | 68 | 63 | 66 | 63 | 61 | 0 | 47 | 76 | 23 | 3,900,000$/2yrs | |||
Luke Kunin | 0 | C/LW/RW | 100.00 | 82 | 52 | 69 | 61 | 76 | 81 | 89 | 60 | 76 | 58 | 64 | 81 | 62 | 71 | 68 | 0 | 44 | 75 | 27 | 2,000,000$/1yrs | |||
Victor Hedman | 0 | D | 100.00 | 63 | 35 | 77 | 79 | 99 | 96 | 89 | 73 | 30 | 85 | 68 | 74 | 70 | 84 | 87 | 0 | 47 | 89 | 34 | 8,000,000$/4yrs | |||
Zach Werenski | 8 | D | 99.00 | 57 | 35 | 87 | 82 | 84 | 99 | 88 | 73 | 30 | 84 | 71 | 75 | 72 | 72 | 71 | 0 | 47 | 88 | 28 | 7,500,000$/1yrs | |||
Lane Hutson | 0 | D | 100.00 | 61 | 31 | 86 | 83 | 60 | 94 | 78 | 69 | 30 | 86 | 59 | 66 | 64 | 60 | 59 | 0 | 47 | 85 | 21 | 950,000$/1yrs | |||
Shayne Gostisbehere | 0 | D | 100.00 | 60 | 32 | 84 | 74 | 70 | 87 | 88 | 66 | 30 | 79 | 63 | 62 | 64 | 79 | 77 | 0 | 47 | 83 | 32 | 4,350,000$/3yrs | |||
Ian Cole | 0 | D | 100.00 | 70 | 40 | 71 | 55 | 87 | 88 | 90 | 59 | 30 | 61 | 53 | 81 | 56 | 86 | 83 | 0 | 47 | 76 | 36 | 2,000,000$/1yrs | |||
Ethan Del Mastro (R) | 0 | D | 100.00 | 75 | 34 | 91 | 57 | 85 | 86 | 69 | 51 | 30 | 61 | 59 | 56 | 55 | 61 | 61 | 0 | 47 | 71 | 22 | 855,833$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.83 | 67 | 36 | 85 | 73 | 79 | 87 | 87 | 69 | 58 | 74 | 70 | 70 | 69 | 73 | 73 | 0 | 46 | 82 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sergei Bobrovsky | 0 | 100.00 | 89 | 95 | 83 | 75 | 92 | 83 | 91 | 93 | 89 | 96 | 91 | 87 | 92 | 0 | 47 | 92 | 37 | 10,000,000$/1yrs |
Petr Mrazek | 0 | 100.00 | 85 | 93 | 80 | 77 | 86 | 78 | 88 | 93 | 87 | 92 | 88 | 81 | 86 | 0 | 51 | 90 | 33 | 1,250,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 87 | 94 | 82 | 76 | 89 | 81 | 90 | 93 | 88 | 94 | 90 | 84 | 89 | 0 | 49 | 91 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Maurice | 93 | 91 | 84 | 94 | 97 | 81 | 72 | CAN | 50 | 4 | 1,000,000$ |
| General Manager | Charles-Antoine Sirois |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Claude Giroux | 0 | C/LW | 14 | 6 | 10 | 16 | 9 | 0 | 0 | 7 | 40 | 6 | 17 | 15.00% | 2 | 16.96 | 1 | 3 | 4 | 41 | 0 | 0 | 0 | 1 | 1 | 0 | 53.77% | 305 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
| 2 | Zach Werenski | 8 | D | 14 | 1 | 11 | 12 | -6 | 4 | 0 | 9 | 21 | 9 | 14 | 4.76% | 18 | 25.37 | 1 | 4 | 5 | 51 | 0 | 1 | 1 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
| 3 | Ryan Nugent-Hopkins | 0 | C/LW | 14 | 6 | 5 | 11 | 6 | 6 | 0 | 10 | 27 | 7 | 30 | 22.22% | 3 | 17.89 | 1 | 0 | 1 | 40 | 0 | 0 | 0 | 1 | 0 | 0 | 53.85% | 91 | 0 | 0 | 0 | 0 | 0.88 | 1 | 1 | |
| 4 | Victor Hedman | 0 | D | 14 | 1 | 8 | 9 | -8 | 16 | 0 | 37 | 25 | 4 | 19 | 4.00% | 16 | 24.20 | 1 | 3 | 4 | 51 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 1 | 1 | |
| 5 | Alex Tuch | 0 | C/RW | 14 | 4 | 4 | 8 | -1 | 13 | 5 | 27 | 66 | 15 | 39 | 6.06% | 7 | 19.01 | 1 | 1 | 2 | 40 | 0 | 0 | 0 | 1 | 2 | 1 | 24.00% | 25 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
| 6 | Kyle Connor | 0 | LW | 14 | 6 | 2 | 8 | -2 | 2 | 0 | 3 | 46 | 15 | 32 | 13.04% | 2 | 19.93 | 1 | 1 | 2 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 | |
| 7 | Lane Hutson | 0 | D | 14 | 0 | 7 | 7 | 4 | 4 | 0 | 12 | 9 | 8 | 11 | 0.00% | 14 | 18.40 | 0 | 1 | 1 | 39 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 8 | Martin Necas | 0 | RW | 14 | 1 | 5 | 6 | 5 | 6 | 0 | 12 | 30 | 7 | 29 | 3.33% | 0 | 18.61 | 0 | 1 | 1 | 48 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 18 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | |
| 9 | John Tavares | 0 | C/LW | 14 | 3 | 3 | 6 | 0 | 8 | 0 | 12 | 36 | 8 | 40 | 8.33% | 0 | 17.82 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 52.69% | 279 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 10 | Pius Suter | 0 | C/RW | 14 | 2 | 2 | 4 | -1 | 0 | 0 | 4 | 20 | 3 | 11 | 10.00% | 2 | 11.14 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 52 | 0 | 0 | 45.37% | 227 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 11 | Shayne Gostisbehere | 0 | D | 14 | 1 | 2 | 3 | 4 | 10 | 0 | 18 | 11 | 5 | 7 | 9.09% | 9 | 22.52 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 12 | Tim Stutzle | 0 | C/LW | 14 | 1 | 2 | 3 | -3 | 14 | 0 | 37 | 23 | 10 | 23 | 4.35% | 0 | 19.52 | 0 | 0 | 0 | 41 | 0 | 0 | 0 | 0 | 1 | 0 | 45.70% | 256 | 0 | 0 | 0 | 0 | 0.22 | 0 | 1 | |
| 13 | Ian Cole | 0 | D | 14 | 1 | 1 | 2 | 3 | 16 | 0 | 31 | 4 | 1 | 2 | 25.00% | 22 | 16.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 14 | Luke Kunin | 0 | C/LW/RW | 14 | 1 | 1 | 2 | -2 | 11 | 5 | 16 | 12 | 0 | 5 | 8.33% | 7 | 10.55 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 52 | 0 | 1 | 68.75% | 16 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 15 | Ethan Del Mastro | 0 | D | 14 | 0 | 2 | 2 | 3 | 10 | 0 | 15 | 2 | 0 | 1 | 0.00% | 4 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 16 | Simon Holmstrom | 0 | RW | 14 | 1 | 0 | 1 | -3 | 0 | 0 | 0 | 11 | 1 | 12 | 9.09% | 1 | 6.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 17 | Will Cuylle | 0 | LW | 14 | 0 | 1 | 1 | -3 | 12 | 0 | 18 | 13 | 7 | 9 | 0.00% | 1 | 9.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 18 | Ryan Poehling | 0 | C/LW | 14 | 0 | 0 | 0 | -4 | 0 | 0 | 1 | 19 | 2 | 10 | 0.00% | 4 | 10.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 51.85% | 162 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 252 | 35 | 66 | 101 | 1 | 132 | 10 | 269 | 415 | 108 | 311 | 8.43% | 112 | 16.63 | 7 | 15 | 22 | 487 | 1 | 2 | 3 | 310 | 7 | 2 | 49.58% | 1412 | 0 | 0 | 0 | 0 | 0.48 | 3 | 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 | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sergei Bobrovsky | 9 | 5 | 4 | 0 | 0.905 | 2.78 | 539 | 0 | 2 | 25 | 263 | 0 | 0 | 0 | 0.000 | 0 | 9 | 2 | 2 | 0 | 0 | |
| 2 | Petr Mrazek | 5 | 3 | 1 | 1 | 0.929 | 2.33 | 309 | 0 | 0 | 12 | 169 | 0 | 0 | 0 | 0.714 | 7 | 5 | 9 | 0 | 2 | 0 | |
| Team Total or Average | 14 | 8 | 5 | 1 | 0.914 | 2.62 | 848 | 0 | 2 | 37 | 432 | 0 | 0 | 0 | 0.714 | 7 | 14 | 11 | 2 | 2 | 0 |
| Projected Total Cap Hit | 94,613,832$ |
| Projected Cap Space | 886,168$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 14,849,244$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Sharks Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch ![]() | C/RW | 29 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Claude Giroux ![]() | C/LW | 37 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Ethan Del Mastro | D | 22 | 855,833$ | 855,833$ | RFA | ||||||
Ian Cole ![]() | D | 36 | 2,000,000$ | 2,000,000$ | UFA | ||||||
John Tavares ![]() | C/LW | 35 | 4,380,000$ | 4,380,000$ | 4,380,000$ | 4,380,000$ | 4,380,000$ | UFA | |||
Kyle Connor ![]() | LW | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Lane Hutson | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Luke Kunin ![]() | C/LW/RW | 27 | 2,000,000$ | 2,000,000$ | |||||||
Martin Necas ![]() | RW | 26 | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | UFA | |
Petr Mrazek | G | 33 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Pius Suter ![]() | C/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ryan Nugent-Hopkins ![]() | C/LW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Ryan Poehling ![]() | C/LW | 26 | 1,900,000$ | 1,900,000$ | |||||||
| Sergei Bobrovsky | G | 37 | 10,000,000$ | 10,000,000$ | UFA | ||||||
Shayne Gostisbehere ![]() | D | 32 | 4,350,000$ | 4,350,000$ | 4,350,000$ | 4,350,000$ | UFA | ||||
Simon Holmstrom ![]() | RW | 24 | 3,625,000$ | 3,625,000$ | 3,625,000$ | ||||||
Tim Stutzle ![]() | C/LW | 23 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | UFA | |
Victor Hedman ![]() | D | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Will Cuylle ![]() | LW | 23 | 3,900,000$ | 3,900,000$ | 3,900,000$ | RFA | |||||
Zach Werenski ![]() | D | 28 | 7,500,000$ | 7,500,000$ |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | C | 22 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Aidan McDonough | C/LW | 25 | 800,000$ | 800,000$ | |||||||
Alex Kannok-Leipert | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Amadeus Lombardi | C | 22 | 838,333$ | 838,333$ | RFA | ||||||
Artur Akhtyamov | G | 24 | 851,667$ | 851,667$ | RFA | ||||||
Brendan Brisson | C/LW/RW | 24 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Brett Murray | LW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Carey Terrance | C/LW | 20 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Christian Kyrou | D | 22 | 870,000$ | 870,000$ | RFA | ||||||
Daniil Chechelev | G | 24 | 0$ | RFA | |||||||
Evan Cormier | G | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Evan Vierling | C/LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Filip Bystedt | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Filip Hallander | C | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Gavin White | D | 22 | 857,500$ | 857,500$ | RFA | ||||||
Hunter Brzustewicz | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jack Malone | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jacob Ingham | G | 25 | 900,000$ | 900,000$ | |||||||
Joel Blomqvist | G | 23 | 886,667$ | 886,667$ | RFA | ||||||
Jordan Gustafson | C/LW | 25 | 830,000$ | 830,000$ | 830,000$ | 830,000$ | |||||
Justin Richards | C/RW | 27 | 800,000$ | 800,000$ | |||||||
Ludvig Jansson | D | 21 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | RFA | ||||
Marc-Andre Gaudet | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Matthew Poitras | C | 21 | 870,000$ | 870,000$ | RFA | ||||||
Nathan Clurman | D | 27 | 800,000$ | 800,000$ | |||||||
Oskar Pettersson | RW | 21 | 865,000$ | 865,000$ | RFA | ||||||
Owen Beck | C | 21 | 885,000$ | 885,000$ | RFA | ||||||
Paul Ludwinski | C | 21 | 931,667$ | 931,667$ | RFA | ||||||
Robert Calisti | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Talyn Boyko | G | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Ville Ottavainen | D | 23 | 867,500$ | 867,500$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 55 | 20 | 17 | 18 | 0 | 68 | 8 | 14 | 37 | 13 | 3 | 23.08% | 6 | 2 | 66.67% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 51 | 35 | 43 | 14 | 24 | 13 | 20.0% | 7.3% | 91.2% | 98.4 | DULL | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 34 | 13 | 13 | 8 | 0 | 32 | 9 | 14 | 15 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 23 | 16 | 24 | 7 | 12 | 5 | 62.5% | 14.7% | 87.5% | 102.2 | FUN | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 3 | 10 | 3 | 0 | 29 | 8 | 12 | 20 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 22 | 14 | 24 | 7 | 13 | 6 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 5 | 10 | 15 | 0 | 20 | 8 | 4 | 18 | 7 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 29 | 21 | 18 | 6 | 11 | 7 | 40.0% | 6.7% | 85.0% | 91.7 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 0 | 2 | 0 | 29 | 13 | 8 | 8 | 0 | 32 | 11 | 17 | 19 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 23 | 17 | 24 | 7 | 12 | 5 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 36 | 8 | 8 | 20 | 0 | 24 | 6 | 2 | 21 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 24 | 17 | 22 | 6 | 12 | 6 | 40.0% | 11.1% | 87.5% | 98.6 | FUN | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 13 | 8 | 14 | 0 | 43 | 13 | 8 | 17 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 24 | 18 | 24 | 7 | 10 | 5 | 0.0% | 0.0% | 95.3% | 95.3 | DULL | |
| 8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 3 | 32 | 13 | 10 | 7 | 9 | 32 | 13 | 6 | 17 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 28 | 20 | 24 | 7 | 12 | 6 | 50.0% | 9.4% | 93.8% | 103.1 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 13 | 8 | 4 | 0 | 27 | 9 | 14 | 19 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 23 | 15 | 23 | 8 | 13 | 6 | nan% | 4.0% | 100.0% | 104.0 | DULL | |
| 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 6 | 9 | 11 | 0 | 33 | 10 | 7 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 21 | 14 | 25 | 7 | 13 | 7 | 40.0% | 7.7% | 90.9% | 98.6 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 12 | 14 | 8 | 0 | 33 | 9 | 12 | 24 | 2 | 0 | 0.00% | 5 | 4 | 20.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 26 | 18 | 20 | 7 | 13 | 6 | 60.0% | 8.8% | 81.8% | 90.6 | Unlucky | |
| 12 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 2 | 1 | 38 | 13 | 11 | 12 | 2 | 41 | 8 | 21 | 27 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 25 | 17 | 24 | 8 | 13 | 7 | 62.5% | 13.2% | 90.2% | 103.4 | FUN | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 21 | 7 | 8 | 6 | 0 | 18 | 1 | 4 | 18 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 27 | 20 | 19 | 7 | 13 | 7 | 75.0% | 14.3% | 94.4% | 108.7 | LUCKY | |
| _Vs Division | 4 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 13 | 10 | 3 | 7 | 0.875 | 13 | 23 | 36 | 0 | 0 | 4 | 4 | 3 | 4 | 117 | 39 | 38 | 36 | 11 | 124 | 32 | 38 | 80 | 15 | 1 | 6.67% | 12 | 1 | 91.67% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 103 | 73 | 93 | 30 | 52 | 27 | 57.1% | 11.1% | 91.9% | 103.0 | LUCKY | |
| _Vs Conference | 7 | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 16 | 15 | 1 | 9 | 0.643 | 16 | 28 | 44 | 0 | 1 | 6 | 5 | 3 | 4 | 207 | 70 | 64 | 69 | 11 | 214 | 62 | 64 | 134 | 29 | 2 | 6.90% | 25 | 2 | 92.00% | 0 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 180 | 128 | 159 | 52 | 88 | 46 | 51.9% | 7.7% | 93.0% | 100.7 | DULL | |
| _Since Last GM Reset | 14 | 6 | 5 | 0 | 1 | 1 | 1 | 0 | 35 | 37 | -2 | 17 | 0.607 | 35 | 64 | 99 | 0 | 2 | 11 | 11 | 11 | 4 | 411 | 139 | 134 | 134 | 11 | 432 | 113 | 135 | 270 | 54 | 7 | 12.96% | 54 | 10 | 81.48% | 1 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 352 | 248 | 320 | 104 | 176 | 89 | 50.9% | 8.5% | 91.4% | 100.0 | DULL | |
| Total | 14 | 6 | 5 | 0 | 1 | 1 | 1 | 0 | 35 | 37 | -2 | 17 | 0.607 | 35 | 64 | 99 | 0 | 2 | 11 | 11 | 11 | 4 | 411 | 139 | 134 | 134 | 11 | 432 | 113 | 135 | 270 | 54 | 7 | 12.96% | 54 | 10 | 81.48% | 1 | 245 | 489 | 50.10% | 245 | 501 | 48.90% | 91 | 196 | 46.43% | 352 | 248 | 320 | 104 | 176 | 89 | 50.9% | 8.5% | 91.4% | 100.0 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 489 |
| Neutral Zone Start | 196 |
| Defensive Zone Start | 501 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 581 |
| Faceoffs Lost | 605 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.9 | 9.57 |
| 2nd Period | 19.5 | 20.31 |
| 3rd Period | 29.1 | 30.68 |
| Overtime | 29.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.4 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 27 |
|---|---|
| PP Goal | 7 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 4 |
| Lost | 3 | 2 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 54 |
|---|---|
| PP Goal | 7 |
| PK Attempt | 54 |
| PK Goal Against | 10 |
| Home | |
|---|---|
| Shots For | 29.4 |
| Shots Against | 30.9 |
| Goals For | 2.5 |
| Goals Against | 2.6 |
| Hits | 19.3 |
| Shots Blocked | 8.1 |
| Pim | 9.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Golden Knights4,Sharks5 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Ducks3,Sharks2 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Hurricanes3,Sharks0 | RECAP | |||||||||||
| 2025-10-18 | @ | Sharks1,Mammoth0 | RECAP | |||||||||||
| 2025-10-19 | @ | Penguins6,Sharks3 | RECAP | |||||||||||
| 2025-10-22 | @ | Sharks5,Islanders4 | RECAP | |||||||||||
| 2025-10-24 | @ | Sharks3,Rangers0 | RECAP | |||||||||||
| 2025-10-25 | @ | Sharks2,Devils5 | RECAP | |||||||||||
| 2025-10-27 | @ | Sharks0,Wild2 | RECAP | |||||||||||
| 2025-10-29 | @ | Kings2,Sharks3 (SO) | RECAP | |||||||||||
| 2025-10-31 | @ | Devils1,Sharks2 | RECAP | |||||||||||
| 2025-11-02 | @ | Avalanche3,Sharks2 | RECAP | |||||||||||
| 2025-11-03 | @ | Red Wings3,Sharks4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,535,833$ | 0$ | 94,613,832$ | 964,167$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | HP Pavilion at San Jose | |
| City | San Jose | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 45128 | 37442 | 15680 | 31033 | 7650 |
| Attendance PCT | 94.02% | 93.61% | 98.00% | 96.98% | 95.63% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 33 | 17117 - 95.09% | 1,562,266$ | 12,498,129$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,535,833$ | 94,535,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 15,005,506$ | 492,374$ | 14,849,244$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 51,554,782$ | 162 | 497,582$ | 80,608,284$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 83,439,084$ | 94,535,833$ | 42,212,234$ | 10,327,932$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2029 | ||||||||
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Alex Ciernik | 2023 | 62 | |||
| Ashton Cumby | 2025 | 180 | |||
| Ben Boyd | 2021 | 194 | |||
| Cameron Whitehead | 2022 | 126 | |||
| Carson Wetsch | 2024 | 109 | |||
| Carter Klippenstein | 2025 | 148 | |||
| Chandler Romeo | 2021 | 217 | |||
| Charlie Stramel | 2023 | 49 | |||
| Chris Pelosi | 2023 | 109 | |||
| Cole Huckins | 2021 | 85 | |||
| Dalyn Wakely | 2024 | 205 | |||
| Egor Zavragin | 2023 | 81 | |||
| Ethan Bowen | 2020 | 175 | |||
| Filip Barklund | |||||
| Gustav Sjoqvist | 2025 | 212 | |||
| Ivan Tkach-Tkachenko | 2025 | 159 | |||
| Jonathan Castagna | 2023 | 85 | |||
| Nathan Behm | 2025 | 52 | |||
| Nick Malik | 2020 | 85 | |||
| Quinn Finley | 2022 | 98 | |||
| Quinn Olson | 2019 | 98 | |||
| Samu Salminen | 2021 | 53 | |||
| Tanner Ludtke | 2023 | 101 | |||
| Victor Johansson | 2024 | 143 | |||
| Viktor Hurtig | 2021 | 185 |
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