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 | Full Scoreboard »» | 
| San Jose Sharks 6-4-1, 13pts · 8th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Kyle Connor | 0 | LW | 100.00 | 57 | 34 | 92 | 85 | 73 | 89 | 88 | 80 | 57 | 79 | 86 | 63 | 83 | 73 | 72 | 0 | 45 | 88 | 28 | 7,500,000$/2yrs | |||
|  Alex Tuch | 0 | C/RW | 99.00 | 67 | 42 | 78 | 79 | 88 | 88 | 89 | 74 | 61 | 74 | 78 | 92 | 76 | 75 | 72 | 0 | 46 | 87 | 29 | 4,750,000$/1yrs | |||
|  Martin Necas | 0 | RW | 100.00 | 65 | 33 | 92 | 81 | 76 | 86 | 90 | 77 | 60 | 85 | 77 | 52 | 77 | 69 | 68 | 0 | 45 | 86 | 26 | 9,350,000$/6yrs | |||
|  Tim Stutzle | 0 | C/LW | 99.00 | 73 | 33 | 83 | 78 | 75 | 90 | 89 | 76 | 77 | 84 | 72 | 61 | 74 | 64 | 62 | 0 | 45 | 84 | 23 | 8,350,000$/6yrs | |||
|  Claude Giroux | 0 | C/LW | 100.00 | 63 | 32 | 90 | 71 | 73 | 88 | 90 | 70 | 88 | 76 | 69 | 74 | 70 | 89 | 99 | 0 | 45 | 83 | 37 | 6,250,000$/1yrs | |||
|  Ryan Nugent-Hopkins | 0 | C/LW | 100.00 | 62 | 33 | 86 | 72 | 76 | 88 | 89 | 71 | 78 | 77 | 71 | 76 | 71 | 80 | 78 | 0 | 45 | 83 | 32 | 5,125,000$/4yrs | |||
|  Blake Coleman | 0 | LW/RW | 100.00 | 78 | 36 | 76 | 71 | 76 | 85 | 90 | 68 | 60 | 68 | 73 | 79 | 71 | 82 | 79 | 0 | 48 | 82 | 33 | 5,500,000$/4yrs | |||
|  Pius Suter | 0 | C/RW | 100.00 | 65 | 32 | 91 | 69 | 69 | 83 | 88 | 67 | 78 | 66 | 72 | 73 | 70 | 74 | 73 | 0 | 45 | 79 | 29 | 2,500,000$/1yrs | |||
|  Simon Holmstrom | 0 | RW | 100.00 | 58 | 33 | 94 | 69 | 81 | 81 | 88 | 65 | 58 | 65 | 70 | 73 | 68 | 65 | 64 | 0 | 45 | 77 | 24 | 3,625,000$/2yrs | |||
|  Ryan Poehling | 0 | C/LW | 100.00 | 63 | 33 | 94 | 65 | 78 | 80 | 88 | 64 | 83 | 66 | 65 | 81 | 64 | 69 | 69 | 0 | 41 | 77 | 26 | 1,900,000$/1yrs | |||
|  Will Cuylle | 0 | LW | 100.00 | 92 | 43 | 79 | 67 | 85 | 77 | 90 | 64 | 58 | 64 | 68 | 63 | 66 | 63 | 61 | 0 | 45 | 76 | 23 | 3,900,000$/2yrs | |||
|  Luke Kunin | 0 | C/LW/RW | 100.00 | 82 | 52 | 69 | 61 | 76 | 81 | 89 | 60 | 76 | 58 | 64 | 81 | 62 | 71 | 68 | 0 | 42 | 75 | 27 | 2,000,000$/1yrs | |||
|  Victor Hedman | 0 | D | 99.00 | 63 | 35 | 77 | 79 | 99 | 96 | 89 | 73 | 30 | 85 | 68 | 74 | 70 | 84 | 87 | 0 | 45 | 89 | 34 | 8,000,000$/4yrs | |||
|  Zach Werenski | 8 | D | 98.00 | 57 | 35 | 87 | 82 | 84 | 99 | 88 | 73 | 30 | 84 | 71 | 75 | 72 | 72 | 71 | 0 | 45 | 88 | 28 | 7,500,000$/1yrs | |||
|  Lane Hutson | 0 | D | 100.00 | 61 | 31 | 86 | 83 | 60 | 94 | 78 | 69 | 30 | 86 | 59 | 66 | 64 | 60 | 59 | 0 | 45 | 85 | 21 | 950,000$/1yrs | |||
|  Shayne Gostisbehere | 0 | D | 99.00 | 60 | 32 | 84 | 74 | 70 | 87 | 88 | 66 | 30 | 79 | 63 | 62 | 64 | 79 | 77 | 0 | 45 | 83 | 32 | 4,350,000$/3yrs | |||
|  Ian Cole | 0 | D | 100.00 | 70 | 40 | 71 | 55 | 87 | 88 | 90 | 59 | 30 | 61 | 53 | 81 | 56 | 86 | 83 | 0 | 45 | 76 | 36 | 2,000,000$/1yrs | |||
|  Ethan Del Mastro (R) | 0 | D | 100.00 | 75 | 34 | 91 | 57 | 85 | 86 | 69 | 51 | 30 | 61 | 59 | 56 | 55 | 61 | 61 | 0 | 45 | 71 | 22 | 855,833$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.67 | 67 | 36 | 84 | 72 | 78 | 87 | 87 | 68 | 56 | 73 | 69 | 71 | 69 | 73 | 72 | 0 | 45 | 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 | 99.00 | 89 | 95 | 83 | 75 | 92 | 83 | 91 | 93 | 89 | 96 | 91 | 87 | 92 | 0 | 44 | 92 | 37 | 10,000,000$/1yrs | 
|  Petr Mrazek | 0 | 99.00 | 85 | 93 | 80 | 77 | 86 | 78 | 88 | 93 | 87 | 92 | 88 | 81 | 86 | 0 | 48 | 90 | 33 | 1,250,000$/1yrs | 
| Scratches | ||||||||||||||||||||
|  Artur Akhtyamov | 0 | 100.00 | 71 | 62 | 69 | 70 | 78 | 76 | 72 | 71 | 76 | 75 | 73 | 65 | 64 | 0 | 50 | 76 | 23 | 851,667$/1yrs | 
| TEAM AVERAGE | 99.33 | 82 | 83 | 77 | 74 | 85 | 79 | 84 | 86 | 84 | 88 | 84 | 78 | 81 | 0 | 47 | 86 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Maurice | 93 | 91 | 84 | 94 | 97 | 81 | 72 | CAN | 50 | 4 | 1,000,000$ | 
| 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 | 11 | 5 | 9 | 14 | 7 | 0 | 0 | 6 | 30 | 6 | 12 | 16.67% | 2 | 17.69 | 1 | 3 | 4 | 34 | 0 | 0 | 0 | 0 | 1 | 0 | 53.28% | 259 | 0 | 0 | 0 | 0 | 1.44 | 0 | 0 | |
| 2 | Zach Werenski | 8 | D | 11 | 1 | 9 | 10 | -4 | 4 | 0 | 8 | 13 | 6 | 12 | 7.69% | 17 | 25.48 | 1 | 3 | 4 | 36 | 0 | 1 | 1 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 3 | Ryan Nugent-Hopkins | 0 | C/LW | 11 | 4 | 4 | 8 | 5 | 4 | 0 | 8 | 22 | 6 | 25 | 18.18% | 3 | 17.84 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 1 | 0 | 0 | 54.55% | 77 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | |
| 4 | Victor Hedman | 0 | D | 11 | 1 | 7 | 8 | -7 | 14 | 0 | 28 | 22 | 3 | 19 | 4.55% | 14 | 24.55 | 1 | 3 | 4 | 36 | 0 | 0 | 0 | 35 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 1 | 1 | |
| 5 | Alex Tuch | 0 | C/RW | 11 | 3 | 2 | 5 | 0 | 11 | 5 | 23 | 48 | 12 | 31 | 6.25% | 7 | 18.81 | 1 | 0 | 1 | 30 | 0 | 0 | 0 | 1 | 1 | 1 | 22.22% | 18 | 0 | 0 | 0 | 0 | 0.48 | 0 | 1 | |
| 6 | Kyle Connor | 0 | LW | 11 | 4 | 1 | 5 | -4 | 2 | 0 | 3 | 39 | 13 | 28 | 10.26% | 2 | 19.70 | 1 | 1 | 2 | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.46 | 1 | 1 | |
| 7 | Lane Hutson | 0 | D | 11 | 0 | 5 | 5 | 5 | 4 | 0 | 9 | 5 | 6 | 7 | 0.00% | 12 | 18.11 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 8 | Martin Necas | 0 | RW | 11 | 1 | 3 | 4 | 3 | 6 | 0 | 10 | 24 | 5 | 25 | 4.17% | 0 | 18.23 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 1 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.40 | 0 | 1 | |
| 9 | Pius Suter | 0 | C/RW | 11 | 2 | 2 | 4 | 0 | 0 | 0 | 3 | 18 | 3 | 8 | 11.11% | 1 | 10.99 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 47 | 0 | 0 | 43.14% | 204 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 10 | Luke Kunin | 0 | C/LW/RW | 11 | 1 | 1 | 2 | 0 | 11 | 5 | 14 | 9 | 0 | 3 | 11.11% | 7 | 10.80 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 47 | 0 | 1 | 69.23% | 13 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 11 | Shayne Gostisbehere | 0 | D | 11 | 0 | 2 | 2 | 6 | 8 | 0 | 16 | 7 | 4 | 6 | 0.00% | 6 | 22.64 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 12 | Ethan Del Mastro | 0 | D | 11 | 0 | 2 | 2 | 0 | 10 | 0 | 14 | 2 | 0 | 0 | 0.00% | 2 | 14.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 13 | Ian Cole | 0 | D | 11 | 1 | 0 | 1 | 0 | 16 | 0 | 24 | 3 | 1 | 2 | 33.33% | 20 | 16.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| 14 | Simon Holmstrom | 0 | RW | 11 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 9 | 1 | 10 | 11.11% | 1 | 6.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 15 | Tim Stutzle | 0 | C/LW | 11 | 1 | 0 | 1 | -4 | 14 | 0 | 27 | 19 | 8 | 16 | 5.26% | 0 | 19.55 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 1 | 0 | 44.50% | 200 | 0 | 0 | 0 | 0 | 0.09 | 0 | 1 | |
| 16 | Blake Coleman | 0 | LW/RW | 11 | 0 | 0 | 0 | -2 | 9 | 5 | 8 | 27 | 8 | 14 | 0.00% | 1 | 12.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 1 | |
| 17 | Ryan Poehling | 0 | C/LW | 11 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 15 | 2 | 6 | 0.00% | 3 | 11.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 48.53% | 136 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Will Cuylle | 0 | LW | 11 | 0 | 0 | 0 | -3 | 12 | 0 | 12 | 12 | 6 | 7 | 0.00% | 0 | 9.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 198 | 25 | 47 | 72 | -2 | 125 | 15 | 213 | 324 | 90 | 231 | 7.72% | 98 | 16.33 | 5 | 10 | 15 | 331 | 1 | 2 | 3 | 306 | 5 | 2 | 47.51% | 964 | 0 | 0 | 0 | 0 | 0.45 | 3 | 7 | 
| 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 | Petr Mrazek | 5 | 3 | 1 | 1 | 0.929 | 2.33 | 309 | 0 | 0 | 12 | 169 | 0 | 0 | 0 | 0.714 | 7 | 5 | 6 | 0 | 2 | 0 | |
| 2 | Sergei Bobrovsky | 6 | 3 | 3 | 0 | 0.910 | 3.00 | 360 | 0 | 2 | 18 | 201 | 0 | 0 | 0 | 0.000 | 0 | 6 | 2 | 2 | 0 | 0 | |
| Team Total or Average | 11 | 6 | 4 | 1 | 0.919 | 2.69 | 669 | 0 | 2 | 30 | 370 | 0 | 0 | 0 | 0.714 | 7 | 11 | 8 | 2 | 2 | 0 | 
| Projected Total Cap Hit | 96,318,486$ | 
| Projected Cap Space | -818,486$ | 
| Retains And Buyout Cap Hit | 0$ | 
| Salary Cap To Date | 11,874,462$ | 
| Players In Salary Cap | 21 | 
| 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 | ||||||
| Artur Akhtyamov   | G | 23 | 851,667$ | 851,667$ | RFA | ||||||
| Blake Coleman  | LW/RW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 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 | ||||||
| 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$ |  RFA | ||||||
| Alex Kannok-Leipert   | D | 25 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| Amadeus Lombardi   | C | 22 | 838,333$ | 838,333$ | RFA | ||||||
| Brendan Brisson   | C/LW/RW | 24 | 950,000$ | 950,000$ | 950,000$ | 950,000$ |  RFA | ||||
| Brett Murray   | LW | 27 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| 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$ |  RFA | |||||
| 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$ |  RFA | ||||
| Jacob Ingham   | G | 25 | 900,000$ | 900,000$ |  RFA | ||||||
| Joel Blomqvist   | G | 23 | 886,667$ | 886,667$ | RFA | ||||||
| Jordan Gustafson   | C/LW | 25 | 830,000$ | 830,000$ | 830,000$ | 830,000$ |  RFA | ||||
| Justin Richards   | C/RW | 27 | 800,000$ | 800,000$ |  RFA | ||||||
| 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$ |  RFA | ||||||
| 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$ |  RFA | |||||
| 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 | 
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| 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 22 | 14 | 24 | 7 | 13 | 6 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky | |
| 4 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 23 | 17 | 24 | 7 | 12 | 5 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
| 5 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 24 | 18 | 24 | 7 | 10 | 5 | 0.0% | 0.0% | 95.3% | 95.3 | DULL | |
| 6 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 28 | 20 | 24 | 7 | 12 | 6 | 50.0% | 9.4% | 93.8% | 103.1 | LUCKY | |
| 7 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 23 | 15 | 23 | 8 | 13 | 6 | nan% | 4.0% | 100.0% | 104.0 | DULL | |
| 8 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 21 | 14 | 25 | 7 | 13 | 7 | 40.0% | 7.7% | 90.9% | 98.6 | Unlucky | |
| 9 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 26 | 18 | 20 | 7 | 13 | 6 | 60.0% | 8.8% | 81.8% | 90.6 | Unlucky | |
| 10 | 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 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 25 | 17 | 24 | 8 | 13 | 7 | 62.5% | 13.2% | 90.2% | 103.4 | FUN | |
| _Vs Division | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 10 | 9 | 1 | 5 | 0.833 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 2 | 4 | 96 | 32 | 30 | 30 | 11 | 106 | 31 | 34 | 62 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 75 | 53 | 73 | 22 | 39 | 20 | 52.9% | 10.4% | 91.5% | 101.9 | LUCKY | |
| _Vs Conference | 5 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 11 | 11 | 0 | 7 | 0.700 | 11 | 19 | 30 | 0 | 1 | 4 | 3 | 2 | 4 | 156 | 58 | 46 | 48 | 11 | 176 | 53 | 56 | 98 | 18 | 2 | 11.11% | 21 | 2 | 90.48% | 0 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 123 | 87 | 121 | 38 | 63 | 31 | 50.0% | 7.1% | 93.8% | 100.8 | DULL | |
| _Since Last GM Reset | 11 | 4 | 4 | 0 | 1 | 1 | 1 | 0 | 26 | 30 | -4 | 13 | 0.591 | 26 | 47 | 73 | 0 | 2 | 8 | 8 | 8 | 4 | 324 | 119 | 108 | 93 | 11 | 370 | 98 | 125 | 213 | 39 | 5 | 12.82% | 49 | 10 | 79.59% | 1 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 270 | 189 | 258 | 83 | 139 | 69 | 51.2% | 8.0% | 91.9% | 99.9 | DULL | |
| Total | 11 | 4 | 4 | 0 | 1 | 1 | 1 | 0 | 26 | 30 | -4 | 13 | 0.591 | 26 | 47 | 73 | 0 | 2 | 8 | 8 | 8 | 4 | 324 | 119 | 108 | 93 | 11 | 370 | 98 | 125 | 213 | 39 | 5 | 12.82% | 49 | 10 | 79.59% | 1 | 193 | 386 | 50.00% | 198 | 420 | 47.14% | 67 | 153 | 43.79% | 270 | 189 | 258 | 83 | 139 | 69 | 51.2% | 8.0% | 91.9% | 99.9 | DULL | 
| Puck Time | |
|---|---|
| Offensive Zone | 24 | 
| Neutral Zone | 12 | 
| Defensive Zone | 23 | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 386 | 
| Neutral Zone Start | 153 | 
| Defensive Zone Start | 420 | 
| Puck Time | |
|---|---|
| With Puck | 31 | 
| Without Puck | 29 | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 458 | 
| Faceoffs Lost | 501 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.8 | 9.57 | 
| 2nd Period | 20.6 | 20.31 | 
| 3rd Period | 29.1 | 30.68 | 
| Overtime | 30.1 | 31.4 | 
| Goals in | Team Average Goals after | League Average Goals after | 
|---|---|---|
| 1st Period | 0.7 | 0.64 | 
| 2nd Period | 1.5 | 1.65 | 
| 3rd Period | 2.2 | 2.67 | 
| Overtime | 2.5 | 2.83 | 
| Even Strenght Goal | 20 | 
|---|---|
| PP Goal | 5 | 
| PK Goal | 1 | 
| Empty Net Goal | 0 | 
| Home | Away | |
|---|---|---|
| Win | 3 | 3 | 
| Lost | 2 | 2 | 
| Overtime Lost | 1 | 0 | 
| PP Attempt | 39 | 
|---|---|
| PP Goal | 5 | 
| PK Attempt | 49 | 
| PK Goal Against | 10 | 
| Home | |
|---|---|
| Shots For | 29.5 | 
| Shots Against | 33.6 | 
| Goals For | 2.4 | 
| Goals Against | 2.7 | 
| Hits | 19.4 | 
| Shots Blocked | 8.9 | 
| Pim | 11.4 | 
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space | 
| 96,507,500$ | 0$ | 96,318,486$ | -1,007,500$ | 
| 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 - % | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |  | 
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 | 
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ | 
| Attendance | 33795 | 28450 | 11680 | 23266 | 5783 | 
| Attendance PCT | 93.88% | 94.83% | 97.33% | 96.94% | 96.38% | 
| Income | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |   | 
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity | 
| 35 | 17162 - 95.35% | 1,567,269$ | 9,403,616$ | 18000 | 100 | 
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value | 
| 96,507,500$ | 96,507,500$ | 0$ | 0$ | 
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | 
|---|---|---|---|
| 11,999,474$ | 502,643$ | 11,874,462$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 54,854,427$ | 168 | 507,852$ | 85,319,136$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 88,189,380$ | 96,507,500$ | 42,236,039$ | 8,901,086$ | 
 Rookie
 Rookie Injured
Injured  Cold Streak
Cold Streak  Hot Streak
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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 | Ronde 8 | 
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 | 
| 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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