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Full Scoreboard »» |
| San Jose Sharks 28-19-6, 62pts · 7th 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 | 99.00 | 57 | 34 | 90 | 86 | 73 | 89 | 90 | 81 | 56 | 84 | 85 | 64 | 83 | 75 | 74 | 0 | 58 | 90 | 29 | 7,500,000$/2yrs | |||
Martin Necas | 0 | RW | 99.00 | 66 | 33 | 88 | 82 | 76 | 87 | 90 | 78 | 60 | 86 | 80 | 52 | 79 | 71 | 69 | 0 | 58 | 87 | 27 | 9,350,000$/6yrs | |||
John Tavares | 0 | C/LW | 100.00 | 70 | 33 | 81 | 77 | 84 | 85 | 89 | 76 | 91 | 77 | 84 | 58 | 80 | 85 | 99 | 0 | 52 | 87 | 35 | 4,380,000$/4yrs | |||
Alex Tuch | 0 | C/RW | 100.00 | 67 | 42 | 74 | 78 | 88 | 86 | 90 | 73 | 71 | 73 | 80 | 89 | 77 | 76 | 73 | 0 | 52 | 86 | 29 | 4,750,000$/1yrs | |||
Nico Hischier | 0 | C | 99.00 | 63 | 32 | 89 | 80 | 70 | 89 | 89 | 76 | 95 | 76 | 80 | 78 | 78 | 71 | 81 | 0 | 29 | 86 | 27 | 7,250,000$/2yrs | |||
Tim Stutzle | 0 | C/LW | 100.00 | 72 | 33 | 89 | 75 | 75 | 87 | 90 | 74 | 85 | 71 | 75 | 69 | 79 | 65 | 64 | 0 | 58 | 82 | 24 | 8,350,000$/6yrs | |||
Claude Giroux | 0 | C/LW | 100.00 | 65 | 32 | 91 | 68 | 73 | 85 | 90 | 67 | 88 | 75 | 67 | 73 | 67 | 90 | 99 | 0 | 58 | 81 | 38 | 6,250,000$/1yrs | |||
Will Cuylle | 0 | LW | 100.00 | 94 | 38 | 81 | 71 | 85 | 81 | 90 | 67 | 60 | 69 | 71 | 73 | 69 | 65 | 63 | 0 | 60 | 80 | 23 | 3,900,000$/2yrs | |||
Simon Holmstrom | 0 | RW | 100.00 | 58 | 33 | 94 | 71 | 81 | 82 | 89 | 67 | 57 | 68 | 71 | 73 | 69 | 66 | 66 | 0 | 55 | 79 | 24 | 3,625,000$/2yrs | |||
Pius Suter | 0 | C/RW | 100.00 | 65 | 32 | 91 | 69 | 69 | 83 | 90 | 66 | 79 | 65 | 73 | 73 | 69 | 75 | 74 | 0 | 58 | 79 | 29 | 2,500,000$/1yrs | |||
Ryan Poehling | 0 | C/LW | 100.00 | 59 | 33 | 92 | 65 | 78 | 78 | 86 | 62 | 82 | 69 | 64 | 78 | 63 | 70 | 70 | 0 | 54 | 77 | 27 | 1,900,000$/1yrs | |||
Luke Kunin | 0 | C/LW/RW | 100.00 | 83 | 42 | 75 | 59 | 76 | 77 | 87 | 58 | 77 | 57 | 63 | 78 | 60 | 72 | 69 | 0 | 58 | 74 | 28 | 2,000,000$/1yrs | |||
Zach Werenski | 8 | D | 99.00 | 58 | 36 | 88 | 83 | 84 | 99 | 90 | 71 | 30 | 86 | 78 | 71 | 74 | 73 | 72 | 0 | 54 | 90 | 28 | 7,500,000$/1yrs | |||
Lane Hutson | 0 | D | 100.00 | 61 | 31 | 89 | 82 | 60 | 93 | 90 | 70 | 30 | 87 | 61 | 66 | 65 | 62 | 60 | 0 | 58 | 86 | 21 | 950,000$/2yrs | |||
Shayne Gostisbehere | 0 | D | 100.00 | 61 | 32 | 80 | 77 | 70 | 86 | 86 | 66 | 30 | 82 | 63 | 61 | 64 | 80 | 78 | 0 | 58 | 84 | 32 | 4,350,000$/3yrs | |||
Justin Faulk | 0 | D | 100.00 | 67 | 33 | 84 | 63 | 82 | 92 | 90 | 62 | 30 | 69 | 63 | 72 | 62 | 82 | 81 | 0 | 29 | 79 | 33 | 6,200,000$/1yrs | |||
Ian Cole | 0 | D | 100.00 | 71 | 36 | 72 | 55 | 87 | 87 | 90 | 60 | 30 | 64 | 54 | 81 | 57 | 87 | 85 | 0 | 55 | 77 | 36 | 2,000,000$/1yrs | |||
Sebastien Aho | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 38 | 76 | 29 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.78 | 67 | 34 | 86 | 72 | 77 | 86 | 89 | 69 | 60 | 73 | 70 | 72 | 70 | 74 | 75 | 0 | 52 | 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 | 98.00 | 85 | 95 | 82 | 75 | 88 | 81 | 89 | 91 | 87 | 94 | 89 | 88 | 92 | 0 | 68 | 91 | 37 | 10,000,000$/1yrs |
Petr Mrazek | 0 | 100.00 | 71 | 82 | 75 | 77 | 77 | 71 | 80 | 88 | 81 | 88 | 80 | 82 | 86 | 0 | 72 | 84 | 33 | 1,250,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 78 | 89 | 79 | 76 | 83 | 76 | 85 | 90 | 84 | 91 | 85 | 85 | 89 | 0 | 70 | 88 | |||
| 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 | Nico Hischier | 0 | C | 51 | 23 | 23 | 46 | -1 | 0 | 0 | 25 | 224 | 68 | 152 | 10.27% | 15 | 20.69 | 5 | 11 | 16 | 163 | 0 | 1 | 1 | 129 | 4 | 2 | 55.79% | 1493 | 0 | 0 | 0 | 1 | 0.87 | 1 | 1 | |
| 2 | Alex Tuch | 0 | C/RW | 53 | 16 | 21 | 37 | 5 | 44 | 10 | 76 | 207 | 75 | 161 | 7.73% | 27 | 17.92 | 6 | 3 | 9 | 157 | 0 | 0 | 0 | 9 | 5 | 1 | 39.33% | 89 | 0 | 0 | 0 | 0 | 0.78 | 0 | 2 | |
| 3 | Kyle Connor | 0 | LW | 53 | 18 | 18 | 36 | -18 | 4 | 0 | 24 | 210 | 51 | 137 | 8.57% | 13 | 20.13 | 6 | 8 | 14 | 180 | 0 | 0 | 0 | 0 | 1 | 1 | 41.89% | 74 | 0 | 0 | 0 | 0 | 0.67 | 1 | 2 | |
| 4 | John Tavares | 0 | C/LW | 53 | 12 | 19 | 31 | -1 | 28 | 0 | 77 | 143 | 40 | 115 | 8.39% | 4 | 18.78 | 3 | 5 | 8 | 165 | 0 | 0 | 0 | 1 | 3 | 0 | 56.23% | 1252 | 0 | 0 | 0 | 0 | 0.62 | 1 | 1 | |
| 5 | Zach Werenski | 8 | D | 53 | 5 | 26 | 31 | -18 | 39 | 5 | 58 | 91 | 37 | 49 | 5.49% | 69 | 24.66 | 3 | 7 | 10 | 184 | 0 | 2 | 2 | 102 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 6 | Martin Necas | 0 | RW | 53 | 12 | 18 | 30 | -6 | 20 | 0 | 83 | 136 | 35 | 112 | 8.82% | 6 | 19.60 | 1 | 4 | 5 | 180 | 0 | 0 | 0 | 0 | 4 | 1 | 41.03% | 78 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | |
| 7 | Lane Hutson | 0 | D | 53 | 2 | 28 | 30 | 10 | 38 | 0 | 69 | 53 | 23 | 44 | 3.77% | 47 | 19.53 | 2 | 3 | 5 | 170 | 0 | 0 | 0 | 4 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 8 | Claude Giroux | 0 | C/LW | 53 | 10 | 15 | 25 | 13 | 4 | 0 | 14 | 82 | 15 | 54 | 12.20% | 10 | 12.94 | 1 | 3 | 4 | 41 | 0 | 0 | 0 | 89 | 2 | 0 | 53.70% | 784 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
| 9 | Tim Stutzle | 0 | C/LW | 53 | 10 | 13 | 23 | 5 | 32 | 0 | 93 | 126 | 41 | 94 | 7.94% | 6 | 18.18 | 1 | 3 | 4 | 158 | 0 | 0 | 0 | 0 | 2 | 0 | 48.82% | 637 | 0 | 0 | 0 | 1 | 0.48 | 0 | 2 | |
| 10 | Pius Suter | 0 | C/RW | 53 | 9 | 12 | 21 | 7 | 2 | 0 | 9 | 91 | 22 | 65 | 9.89% | 13 | 12.55 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 222 | 0 | 1 | 47.29% | 571 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 11 | Shayne Gostisbehere | 0 | D | 53 | 4 | 16 | 20 | 15 | 46 | 0 | 73 | 53 | 22 | 36 | 7.55% | 58 | 22.56 | 0 | 5 | 5 | 148 | 0 | 0 | 0 | 155 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 12 | Justin Faulk | 0 | D | 47 | 3 | 11 | 14 | 1 | 30 | 0 | 51 | 52 | 11 | 22 | 5.77% | 51 | 19.89 | 2 | 4 | 6 | 125 | 0 | 0 | 0 | 128 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 13 | Ian Cole | 0 | D | 53 | 2 | 11 | 13 | 4 | 73 | 5 | 98 | 28 | 6 | 16 | 7.14% | 86 | 16.20 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 175 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 14 | Will Cuylle | 0 | LW | 53 | 3 | 4 | 7 | 1 | 50 | 10 | 86 | 63 | 23 | 39 | 4.76% | 5 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 1 | 32.56% | 43 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 15 | Luke Kunin | 0 | C/LW/RW | 53 | 4 | 2 | 6 | 1 | 28 | 10 | 79 | 48 | 6 | 24 | 8.33% | 13 | 10.70 | 0 | 0 | 0 | 10 | 1 | 1 | 2 | 216 | 0 | 2 | 61.76% | 68 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 16 | Simon Holmstrom | 0 | RW | 53 | 3 | 3 | 6 | -4 | 5 | 5 | 0 | 56 | 8 | 36 | 5.36% | 4 | 6.95 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 24.00% | 25 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 17 | Sebastien Aho | 0 | D | 31 | 0 | 4 | 4 | -8 | 8 | 0 | 14 | 30 | 7 | 13 | 0.00% | 22 | 15.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 18 | Ryan Poehling | 0 | C/LW | 53 | 2 | 1 | 3 | -3 | 4 | 0 | 8 | 49 | 8 | 40 | 4.08% | 9 | 8.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 50.22% | 452 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| Team Total or Average | 924 | 138 | 245 | 383 | 3 | 455 | 45 | 937 | 1742 | 498 | 1209 | 7.92% | 458 | 16.41 | 30 | 56 | 86 | 1696 | 3 | 5 | 8 | 1394 | 26 | 10 | 52.57% | 5566 | 0 | 0 | 0 | 2 | 0.51 | 3 | 10 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sergei Bobrovsky | 29 | 16 | 9 | 4 | 0.919 | 2.33 | 1752 | 0 | 5 | 68 | 841 | 0 | 0 | 0 | 1.000 | 6 | 29 | 21 | 5 | 0 | 6 | |
| 2 | Petr Mrazek | 24 | 12 | 10 | 2 | 0.918 | 2.64 | 1454 | 2 | 0 | 64 | 777 | 0 | 0 | 1 | 0.714 | 7 | 24 | 29 | 2 | 3 | 0 | |
| Team Total or Average | 53 | 28 | 19 | 6 | 0.918 | 2.47 | 3206 | 2 | 5 | 132 | 1618 | 0 | 0 | 1 | 0.846 | 13 | 53 | 50 | 7 | 3 | 6 |
| Projected Total Cap Hit | 95,078,682$ |
| Projected Cap Space | 421,318$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 57,772,032$ |
| 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 | 38 | 6,250,000$ | 6,250,000$ | UFA | ||||||
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 | |||
Justin Faulk ![]() | D | 33 | 6,200,000$ | 6,200,000$ | UFA | ||||||
Kyle Connor ![]() | LW | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Lane Hutson | D | 21 | 950,000$ | 950,000$ | 8,850,000$ | RFA | |||||
Luke Kunin ![]() | C/LW/RW | 28 | 2,000,000$ | 2,000,000$ | |||||||
Martin Necas ![]() | RW | 27 | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | UFA | |
Nico Hischier ![]() | C | 27 | 7,250,000$ | 7,250,000$ | 7,250,000$ | ||||||
Petr Mrazek | G | 33 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Pius Suter ![]() | C/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ryan Poehling ![]() | C/LW | 27 | 1,900,000$ | 1,900,000$ | |||||||
Sebastien Aho ![]() | D | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| 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 | 24 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 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 | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Aidan McDonough | C/LW | 26 | 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 | |||||||
Ethan Del Mastro | D | 23 | 855,833$ | 855,833$ | RFA | ||||||
Evan Cormier | G | 28 | 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 | 23 | 857,500$ | 857,500$ | 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 | 24 | 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 | 22 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | RFA | ||||
Marc-Andre Gaudet | D | 23 | 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 | 25 | 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 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 18 | 27 | 0 | 0 | 1 | 5 | 1 | 2 | 91 | 33 | 29 | 25 | 4 | 70 | 26 | 22 | 60 | 10 | 1 | 10.00% | 10 | 2 | 80.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 76 | 54 | 67 | 22 | 40 | 20 | 72.7% | 9.9% | 92.9% | 102.7 | LUCKY | |
| 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 46 | 15 | 18 | 12 | 1 | 24 | 11 | 6 | 15 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 28 | 21 | 20 | 6 | 12 | 6 | 25.0% | 4.3% | 87.5% | 91.8 | Unlucky | |
| 3 | 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 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 51 | 35 | 43 | 14 | 24 | 13 | 20.0% | 7.3% | 91.2% | 98.4 | DULL | |
| 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 1 | 22 | 10 | 6 | 4 | 8 | 31 | 8 | 14 | 18 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 25 | 17 | 25 | 7 | 13 | 6 | 50.0% | 13.6% | 93.5% | 107.2 | LUCKY | |
| 5 | 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 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 23 | 16 | 24 | 7 | 12 | 5 | 62.5% | 14.7% | 87.5% | 102.2 | FUN | |
| 6 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 6 | -4 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 43 | 16 | 18 | 8 | 1 | 72 | 22 | 37 | 37 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 46 | 29 | 49 | 15 | 25 | 12 | 33.3% | 4.7% | 91.7% | 96.3 | DULL | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 60 | 15 | 21 | 24 | 0 | 38 | 11 | 10 | 50 | 11 | 1 | 9.09% | 5 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 54 | 38 | 41 | 13 | 24 | 13 | 42.9% | 6.7% | 89.5% | 96.1 | Unlucky | |
| 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 8 | 4 | 1.000 | 8 | 13 | 21 | 0 | 2 | 2 | 3 | 3 | 0 | 83 | 27 | 32 | 24 | 0 | 49 | 15 | 27 | 39 | 8 | 4 | 50.00% | 9 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 51 | 38 | 43 | 14 | 24 | 12 | 100.0% | 9.6% | 100.0% | 109.6 | LUCKY | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 73 | 16 | 20 | 37 | 0 | 49 | 14 | 10 | 36 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 48 | 34 | 47 | 14 | 24 | 11 | 37.5% | 6.8% | 89.8% | 96.6 | Unlucky | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 64 | 19 | 16 | 29 | 0 | 77 | 22 | 12 | 42 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 46 | 32 | 47 | 14 | 25 | 13 | 25.0% | 6.3% | 90.9% | 97.2 | Unlucky | |
| 11 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 98 | 34 | 26 | 38 | 0 | 109 | 39 | 20 | 69 | 16 | 1 | 6.25% | 10 | 1 | 90.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 75 | 53 | 68 | 21 | 35 | 18 | 28.6% | 3.1% | 94.5% | 97.6 | DULL | |
| 12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 94 | 37 | 25 | 32 | 0 | 65 | 30 | 27 | 66 | 7 | 1 | 14.29% | 10 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 78 | 56 | 64 | 20 | 37 | 18 | 50.0% | 6.4% | 92.3% | 98.7 | DULL | |
| 13 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 7 | 8 | -1 | 4 | 0.667 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 2 | 4 | 91 | 26 | 34 | 26 | 12 | 112 | 30 | 28 | 50 | 12 | 1 | 8.33% | 10 | 1 | 90.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 77 | 55 | 75 | 21 | 35 | 17 | 46.2% | 7.7% | 92.9% | 100.5 | DULL | |
| 14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 3 | 0 | 0 | 0 | 63 | 16 | 23 | 24 | 0 | 63 | 14 | 16 | 39 | 8 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 50 | 35 | 45 | 13 | 24 | 12 | 50.0% | 4.8% | 95.2% | 100.0 | DULL | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 39 | 17 | 15 | 7 | 0 | 37 | 10 | 16 | 22 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 22 | 14 | 24 | 7 | 13 | 6 | 55.6% | 15.4% | 86.5% | 101.9 | FUN | |
| 16 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 3 | 4 | 0 | 1 | 94 | 38 | 38 | 16 | 2 | 91 | 21 | 39 | 62 | 14 | 1 | 7.14% | 13 | 3 | 76.92% | 1 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 69 | 47 | 74 | 23 | 37 | 18 | 63.6% | 8.5% | 92.3% | 100.8 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 7 | 6 | 12 | 0 | 32 | 16 | 6 | 22 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 23 | 17 | 25 | 6 | 11 | 5 | 16.7% | 4.0% | 81.3% | 85.3 | Unlucky | |
| 18 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 7 | 0 | 2 | 0 | 63 | 23 | 13 | 27 | 0 | 46 | 13 | 27 | 29 | 13 | 2 | 15.38% | 6 | 2 | 66.67% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 51 | 35 | 44 | 14 | 25 | 13 | 63.6% | 14.3% | 87.0% | 101.2 | FUN | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 37 | 5 | 20 | 12 | 0 | 37 | 12 | 4 | 12 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 25 | 19 | 22 | 6 | 11 | 5 | 33.3% | 5.4% | 89.2% | 94.6 | Unlucky | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 37 | 15 | 12 | 10 | 0 | 23 | 11 | 15 | 21 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 23 | 16 | 22 | 7 | 13 | 7 | 66.7% | 16.2% | 87.0% | 103.2 | FUN | |
| 21 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 47 | 16 | 15 | 16 | 0 | 71 | 17 | 19 | 39 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 42 | 28 | 52 | 15 | 25 | 12 | 45.5% | 10.6% | 88.7% | 99.4 | FUN | |
| 22 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 72 | 20 | 26 | 22 | 4 | 109 | 29 | 34 | 61 | 8 | 1 | 12.50% | 16 | 1 | 93.75% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 64 | 42 | 83 | 23 | 38 | 18 | 50.0% | 8.3% | 94.5% | 102.8 | DULL | |
| 23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 35 | 14 | 13 | 8 | 0 | 40 | 14 | 10 | 25 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 23 | 16 | 25 | 6 | 11 | 5 | 60.0% | 11.4% | 92.5% | 103.9 | LUCKY | |
| 24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 70 | 25 | 24 | 21 | 0 | 72 | 25 | 51 | 45 | 6 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 50 | 36 | 43 | 14 | 25 | 12 | 50.0% | 8.6% | 86.1% | 94.7 | Unlucky | |
| 25 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 4 | 1 | 107 | 26 | 36 | 43 | 2 | 119 | 33 | 43 | 80 | 11 | 1 | 9.09% | 18 | 3 | 83.33% | 0 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 90 | 59 | 102 | 31 | 50 | 25 | 57.1% | 8.4% | 92.4% | 100.8 | DULL | |
| 26 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 1.000 | 8 | 15 | 23 | 0 | 1 | 3 | 3 | 2 | 0 | 90 | 25 | 31 | 34 | 0 | 83 | 20 | 24 | 56 | 14 | 1 | 7.14% | 12 | 0 | 100.00% | 1 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 78 | 55 | 64 | 22 | 37 | 19 | 77.8% | 8.9% | 97.6% | 106.5 | Unlucky | |
| _Vs Division | 19 | 8 | 5 | 0 | 4 | 1 | 1 | 0 | 50 | 42 | 8 | 27 | 0.711 | 50 | 89 | 139 | 0 | 1 | 17 | 16 | 12 | 7 | 559 | 180 | 185 | 183 | 18 | 557 | 166 | 179 | 373 | 63 | 6 | 9.52% | 74 | 9 | 87.84% | 1 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 465 | 324 | 450 | 141 | 240 | 118 | 57.1% | 8.9% | 92.5% | 101.4 | Unlucky | |
| _Vs Conference | 31 | 13 | 9 | 0 | 5 | 3 | 1 | 0 | 77 | 68 | 9 | 41 | 0.661 | 77 | 138 | 215 | 0 | 2 | 28 | 26 | 17 | 8 | 920 | 302 | 308 | 293 | 24 | 927 | 277 | 297 | 636 | 114 | 12 | 10.53% | 122 | 15 | 87.70% | 2 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 753 | 523 | 740 | 230 | 391 | 195 | 55.1% | 8.4% | 92.7% | 101.0 | DULL | |
| _Since Last GM Reset | 53 | 21 | 19 | 0 | 5 | 6 | 2 | 0 | 135 | 133 | 2 | 62 | 0.585 | 135 | 240 | 375 | 1 | 5 | 48 | 42 | 38 | 9 | 1633 | 528 | 547 | 537 | 34 | 1619 | 480 | 545 | 1047 | 205 | 28 | 13.66% | 209 | 29 | 86.12% | 3 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 1299 | 908 | 1249 | 388 | 663 | 333 | 50.7% | 8.3% | 91.8% | 100.1 | DULL | |
| Total | 53 | 21 | 19 | 0 | 5 | 6 | 2 | 0 | 135 | 133 | 2 | 62 | 0.585 | 135 | 240 | 375 | 1 | 5 | 48 | 42 | 38 | 9 | 1633 | 528 | 547 | 537 | 34 | 1619 | 480 | 545 | 1047 | 205 | 28 | 13.66% | 209 | 29 | 86.12% | 3 | 962 | 1851 | 51.97% | 994 | 1883 | 52.79% | 382 | 773 | 49.42% | 1299 | 908 | 1249 | 388 | 663 | 333 | 50.7% | 8.3% | 91.8% | 100.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1851 |
| Neutral Zone Start | 773 |
| Defensive Zone Start | 1883 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2338 |
| Faceoffs Lost | 2169 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.3 | 20.31 |
| 3rd Period | 30.4 | 30.68 |
| Overtime | 31.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.4 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 103 |
|---|---|
| PP Goal | 28 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 12 | 16 |
| Lost | 11 | 8 |
| Overtime Lost | 3 | 3 |
| PP Attempt | 205 |
|---|---|
| PP Goal | 28 |
| PK Attempt | 209 |
| PK Goal Against | 29 |
| Home | |
|---|---|
| Shots For | 30.8 |
| Shots Against | 30.5 |
| Goals For | 2.5 |
| Goals Against | 2.5 |
| Hits | 19.8 |
| Shots Blocked | 9.1 |
| Pim | 10.3 |
| 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 | |||||||||||
| 2025-11-06 | @ | Sharks3,Kraken1 | RECAP | |||||||||||
| 2025-11-08 | @ | Jets3,Sharks6 | RECAP | |||||||||||
| 2025-11-09 | @ | Panthers4,Sharks3 (OT) | RECAP | |||||||||||
| 2025-11-12 | @ | Sharks2,Wild1 | RECAP | |||||||||||
| 2025-11-14 | @ | Sharks3,Flames1 | RECAP | |||||||||||
| 2025-11-16 | @ | Sharks2,Kraken1 | RECAP | |||||||||||
| 2025-11-19 | @ | Mammoth3,Sharks2 | RECAP | |||||||||||
| 2025-11-21 | @ | Kings2,Sharks3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Senators2,Sharks3 (SO) | RECAP | |||||||||||
| 2025-11-24 | @ | Bruins6,Sharks1 | RECAP | |||||||||||
| 2025-11-27 | @ | Sharks2,Avalanche1 | RECAP | |||||||||||
| 2025-11-29 | @ | Canucks1,Sharks0 | RECAP | |||||||||||
| 2025-11-30 | @ | Sharks3,Golden Knights1 | RECAP | |||||||||||
| 2025-12-02 | @ | Mammoth4,Sharks5 (OT) | RECAP | |||||||||||
| 2025-12-04 | @ | Capitals4,Sharks2 | RECAP | |||||||||||
| 2025-12-06 | @ | Sharks2,Stars3 (OT) | RECAP | |||||||||||
| 2025-12-08 | @ | Sharks2,Hurricanes3 (OT) | RECAP | |||||||||||
| 2025-12-10 | @ | Sharks2,Flyers3 (OT) | RECAP | |||||||||||
| 2025-12-12 | @ | Sharks4,Maple Leafs3 | RECAP | |||||||||||
| 2025-12-14 | @ | Sharks3,Penguins4 | RECAP | |||||||||||
| 2025-12-17 | @ | Flames2,Sharks3 (OT) | RECAP | |||||||||||
| 2025-12-19 | @ | Stars2,Sharks1 (OT) | RECAP | |||||||||||
| 2025-12-21 | @ | Kraken0,Sharks3 | RECAP | |||||||||||
| 2025-12-24 | @ | Sharks0,Golden Knights2 | RECAP | |||||||||||
| 2025-12-28 | @ | Sharks4,Canucks3 | RECAP | |||||||||||
| 2025-12-30 | @ | Sharks3,Ducks5 | RECAP | |||||||||||
| 2026-01-01 | @ | Wild3,Sharks1 | RECAP | |||||||||||
| 2026-01-04 | @ | Lightning3,Sharks2 | RECAP | |||||||||||
| 2026-01-07 | @ | Blue Jackets4,Sharks2 | RECAP | |||||||||||
| 2026-01-08 | @ | Sharks1,Kings4 | RECAP | |||||||||||
| 2026-01-11 | @ | Stars1,Sharks3 | RECAP | |||||||||||
| 2026-01-12 | @ | Golden Knights2,Sharks1 | RECAP | |||||||||||
| 2026-01-16 | @ | Sharks2,Capitals3 | RECAP | |||||||||||
| 2026-01-17 | @ | Sharks1,Red Wings2 | RECAP | |||||||||||
| 2026-01-20 | @ | Sharks6,Panthers2 | RECAP | |||||||||||
| 2026-01-21 | @ | Sharks1,Lightning0 | RECAP | |||||||||||
| 2026-01-24 | @ | Rangers0,Sharks5 | RECAP | |||||||||||
| 2026-01-28 | @ | Sharks2,Canucks1 | RECAP | |||||||||||
| 2026-01-30 | @ | Sharks6,Oilers5 | RECAP | |||||||||||
| 2026-02-01 | @ | Sharks3,Flames2 (OT) | RECAP | |||||||||||
| 2026-02-03 | @ | |||||||||||||
| 2026-02-05 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-16 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-03-31 | @ | |||||||||||||
| 2026-04-02 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-07 | @ | |||||||||||||
| 2026-04-09 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-16 | @ | |||||||||||||
| 2026-04-17 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 95,505,000$ | 0$ | 95,078,682$ | -5,000$ |
| 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 | 147226 | 123833 | 50081 | 99441 | 24485 |
| Attendance PCT | 94.38% | 95.26% | 96.31% | 95.62% | 94.17% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 15 | 17118 - 95.10% | 1,564,422$ | 40,674,973$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 95,505,000$ | 95,505,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 58,381,390$ | 497,422$ | 57,772,032$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 23,466,331$ | 75 | 502,630$ | 37,697,250$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 38,882,910$ | 95,505,000$ | 25,371,986$ | 9,955,407$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 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 | |||
| 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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