| San Jose Barracuda 12-5-0, 24pts · 3rd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty (R) | 0 | C | 100.00 | 83 | 33 | 85 | 64 | 76 | 73 | 70 | 62 | 84 | 59 | 69 | 56 | 66 | 62 | 60 | 0 | 51 | 73 | 22 | 900,000$/2yrs | |||
Brett Murray | 0 | LW | 100.00 | 66 | 41 | 81 | 57 | 93 | 68 | 73 | 65 | 49 | 57 | 61 | 68 | 59 | 70 | 68 | 0 | 56 | 72 | 27 | 800,000$/2yrs | |||
Matthew Poitras | 0 | C | 100.00 | 60 | 32 | 92 | 63 | 68 | 78 | 75 | 61 | 75 | 68 | 60 | 56 | 61 | 60 | 59 | 0 | 39 | 72 | 21 | 870,000$/1yrs | |||
Brendan Brisson | 0 | C/LW/RW | 100.00 | 67 | 32 | 96 | 58 | 74 | 75 | 69 | 61 | 60 | 66 | 59 | 52 | 60 | 64 | 63 | 0 | 55 | 71 | 24 | 950,000$/3yrs | |||
Aidan McDonough (R) | 0 | C/LW | 99.00 | 62 | 39 | 88 | 55 | 80 | 66 | 69 | 64 | 42 | 54 | 59 | 67 | 56 | 68 | 67 | 0 | 58 | 70 | 26 | 800,000$/1yrs | |||
Filip Hallander | 15 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 66 | 72 | 60 | 67 | 59 | 56 | 65 | 57 | 63 | 61 | 0 | 55 | 69 | 25 | 775,000$/2yrs | |||
Filip Bystedt (R) | 0 | C | 100.00 | 67 | 40 | 80 | 60 | 84 | 66 | 68 | 59 | 47 | 59 | 58 | 62 | 59 | 59 | 57 | 0 | 55 | 69 | 21 | 950,000$/1yrs | |||
Owen Beck (R) | 0 | C | 99.00 | 70 | 40 | 74 | 60 | 77 | 66 | 68 | 59 | 40 | 60 | 57 | 62 | 59 | 59 | 57 | 0 | 58 | 69 | 21 | 885,000$/1yrs | |||
Amadeus Lombardi (R) | 0 | C | 99.00 | 59 | 38 | 92 | 58 | 69 | 65 | 69 | 60 | 64 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 52 | 68 | 22 | 838,333$/1yrs | |||
Jack Malone (R) | 0 | C/LW/RW | 100.00 | 58 | 38 | 94 | 53 | 77 | 63 | 67 | 63 | 48 | 52 | 55 | 67 | 53 | 66 | 66 | 0 | 55 | 68 | 25 | 800,000$/3yrs | |||
Evan Vierling (R) | 0 | C/LW/RW | 100.00 | 55 | 38 | 93 | 57 | 70 | 65 | 73 | 55 | 41 | 58 | 58 | 64 | 57 | 63 | 62 | 0 | 52 | 68 | 23 | 775,000$/1yrs | |||
Carey Terrance (R) | 0 | C/LW | 100.00 | 59 | 38 | 89 | 58 | 74 | 64 | 82 | 55 | 42 | 55 | 57 | 61 | 56 | 57 | 56 | 0 | 52 | 67 | 20 | 886,667$/3yrs | |||
Jordan Gustafson (R) | 0 | C/LW | 100.00 | 64 | 39 | 83 | 58 | 72 | 64 | 77 | 54 | 48 | 56 | 57 | 61 | 56 | 59 | 57 | 0 | 52 | 67 | 25 | 830,000$/3yrs | |||
Hunter Brzustewicz (R) | 0 | D | 99.00 | 59 | 38 | 92 | 53 | 76 | 64 | 66 | 51 | 30 | 59 | 52 | 63 | 55 | 59 | 58 | 0 | 55 | 68 | 20 | 950,000$/2yrs | |||
Marc-Andre Gaudet (R) | 0 | D | 99.00 | 57 | 38 | 91 | 60 | 74 | 67 | 60 | 56 | 30 | 54 | 50 | 62 | 60 | 56 | 55 | 0 | 55 | 67 | 22 | 775,000$/1yrs | |||
Christian Kyrou (R) | 0 | D | 99.00 | 60 | 37 | 91 | 51 | 65 | 64 | 67 | 50 | 30 | 56 | 54 | 64 | 55 | 61 | 60 | 0 | 55 | 67 | 22 | 870,000$/1yrs | |||
Ville Ottavainen (R) | 0 | D | 99.00 | 65 | 41 | 82 | 51 | 92 | 64 | 67 | 50 | 30 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 55 | 67 | 23 | 867,500$/1yrs | |||
Gavin White (R) | 0 | D | 100.00 | 61 | 38 | 90 | 49 | 72 | 63 | 65 | 48 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 55 | 66 | 23 | 857,500$/1yrs | |||
Ludvig Jansson (R) | 0 | D | 100.00 | 76 | 39 | 75 | 52 | 71 | 62 | 89 | 51 | 30 | 54 | 52 | 62 | 53 | 59 | 56 | 0 | 52 | 66 | 21 | 855,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Justin Richards | 19 | C/RW | 100.00 | 69 | 39 | 77 | 53 | 73 | 64 | 85 | 63 | 74 | 56 | 52 | 66 | 54 | 66 | 64 | 0 | 23 | 68 | 27 | 800,000$/1yrs | |||
Oskar Pettersson (R) | 0 | RW | 100.00 | 61 | 39 | 89 | 54 | 83 | 62 | 67 | 60 | 49 | 52 | 54 | 63 | 53 | 59 | 58 | 0 | 25 | 66 | 21 | 865,000$/1yrs | |||
Paul Ludwinski (R) | 0 | C | 100.00 | 64 | 39 | 85 | 54 | 72 | 61 | 66 | 60 | 42 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 30 | 66 | 21 | 931,667$/1yrs | |||
Robert Calisti (R) | 0 | D | 100.00 | 80 | 43 | 70 | 60 | 99 | 69 | 60 | 57 | 30 | 55 | 52 | 64 | 62 | 59 | 56 | 0 | 23 | 70 | 24 | 800,000$/2yrs | |||
Nathan Clurman | 0 | D | 100.00 | 66 | 40 | 80 | 45 | 81 | 60 | 81 | 44 | 30 | 50 | 47 | 67 | 49 | 66 | 64 | 0 | 25 | 63 | 27 | 800,000$/1yrs | |||
Alex Kannok-Leipert | 0 | D | 100.00 | 81 | 41 | 56 | 43 | 74 | 58 | 79 | 42 | 30 | 48 | 45 | 65 | 46 | 62 | 58 | 0 | 24 | 61 | 25 | 800,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Blomqvist | 0 | 100.00 | 60 | 65 | 67 | 75 | 69 | 77 | 73 | 73 | 84 | 74 | 73 | 64 | 67 | 0 | 52 | 76 | 23 | 886,667$/1yrs |
Talyn Boyko | 0 | 97.00 | 74 | 80 | 69 | 88 | 57 | 72 | 73 | 74 | 72 | 73 | 73 | 58 | 60 | 0 | 52 | 76 | 23 | 900,000$/3yrs |
| Scratches | ||||||||||||||||||||
Artur Akhtyamov | 0 | 100.00 | 71 | 62 | 69 | 70 | 78 | 76 | 72 | 71 | 76 | 75 | 73 | 65 | 64 | 0 | 44 | 76 | 24 | 851,667$/1yrs |
Jacob Ingham | 68 | 100.00 | 70 | 58 | 68 | 85 | 62 | 75 | 71 | 70 | 75 | 74 | 72 | 67 | 66 | 0 | 34 | 75 | 25 | 900,000$/1yrs |
Evan Cormier | 0 | 100.00 | 68 | 58 | 67 | 84 | 68 | 74 | 70 | 68 | 74 | 72 | 71 | 67 | 71 | 0 | 32 | 74 | 28 | 800,000$/2yrs |
Daniil Chechelev | 0 | 100.00 | 60 | 64 | 65 | 81 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 61 | 65 | 0 | 32 | 67 | 24 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brad Larsen | 66 | 62 | 78 | 85 | 64 | 60 | 67 | CAN | 46 | 1 | 1,000,000$ |
| General Manager |
|---|
| 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 | Owen Beck | C | 17 | 4 | 11 | 15 | -4 | 15 | 5 | 41 | 34 | 7 | 37 | 11.76% | 3 | 18.90 | 0 | 4 | 4 | 54 | 1 | 0 | 1 | 14 | 0 | 2 | 40.14% | 426 | 0 | 0 | 0 | 0 | 0.93 | 1 | 1 | ||
| 2 | Brett Murray | LW | 17 | 8 | 5 | 13 | 0 | 9 | 5 | 22 | 79 | 23 | 50 | 10.13% | 8 | 20.74 | 2 | 2 | 4 | 62 | 0 | 0 | 0 | 44 | 3 | 1 | 42.86% | 35 | 0 | 0 | 0 | 0 | 0.74 | 0 | 1 | ||
| 3 | Filip Bystedt | C | 17 | 5 | 7 | 12 | 6 | 8 | 0 | 16 | 41 | 10 | 18 | 12.20% | 1 | 14.43 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 50.39% | 254 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
| 4 | Aidan McDonough | C/LW | 17 | 4 | 7 | 11 | -3 | 15 | 5 | 13 | 49 | 14 | 26 | 8.16% | 6 | 18.75 | 0 | 3 | 3 | 47 | 0 | 0 | 0 | 25 | 1 | 1 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 5 | Ville Ottavainen | D | 17 | 3 | 8 | 11 | -3 | 6 | 0 | 29 | 25 | 6 | 11 | 12.00% | 27 | 20.99 | 2 | 3 | 5 | 51 | 0 | 0 | 0 | 32 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 6 | Filip Hallander | C | 17 | 3 | 7 | 10 | 3 | 2 | 0 | 11 | 30 | 7 | 29 | 10.00% | 2 | 12.70 | 1 | 3 | 4 | 53 | 0 | 0 | 0 | 28 | 0 | 0 | 43.48% | 92 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
| 7 | Amadeus Lombardi | C | 17 | 3 | 7 | 10 | -3 | 15 | 5 | 6 | 28 | 10 | 16 | 10.71% | 2 | 18.35 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 34 | 1 | 0 | 51.88% | 160 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 8 | Jack Malone | C/LW/RW | 17 | 3 | 7 | 10 | 5 | 2 | 0 | 5 | 38 | 17 | 29 | 7.89% | 5 | 13.58 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 20 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
| 9 | Marc-Andre Gaudet | D | 17 | 2 | 6 | 8 | -8 | 10 | 0 | 27 | 16 | 7 | 18 | 12.50% | 31 | 23.23 | 1 | 1 | 2 | 57 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 10 | Christian Kyrou | D | 17 | 6 | 2 | 8 | -3 | 2 | 0 | 16 | 28 | 8 | 9 | 21.43% | 20 | 21.11 | 2 | 0 | 2 | 51 | 0 | 1 | 1 | 33 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 11 | Aatu Raty | C | 17 | 1 | 7 | 8 | 0 | 10 | 0 | 41 | 34 | 20 | 39 | 2.94% | 1 | 16.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 63.00% | 273 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 12 | Brendan Brisson | C/LW/RW | 17 | 4 | 4 | 8 | -1 | 0 | 0 | 12 | 42 | 9 | 42 | 9.52% | 0 | 18.55 | 1 | 1 | 2 | 63 | 0 | 0 | 0 | 6 | 0 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.51 | 1 | 1 | ||
| 13 | Hunter Brzustewicz | D | 17 | 1 | 5 | 6 | -8 | 12 | 0 | 43 | 23 | 9 | 17 | 4.35% | 22 | 23.05 | 1 | 0 | 1 | 56 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 14 | Jordan Gustafson | C/LW | 16 | 3 | 3 | 6 | 6 | 4 | 0 | 14 | 27 | 5 | 24 | 11.11% | 2 | 12.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 32 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 15 | Gavin White | D | 17 | 0 | 5 | 5 | 16 | 2 | 0 | 5 | 8 | 7 | 8 | 0.00% | 12 | 16.07 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 16 | Ludvig Jansson | D | 16 | 2 | 3 | 5 | 13 | 2 | 0 | 33 | 11 | 4 | 6 | 18.18% | 18 | 15.47 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 17 | Carey Terrance | C/LW | 16 | 2 | 2 | 4 | 0 | 0 | 0 | 4 | 16 | 6 | 9 | 12.50% | 2 | 7.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 143 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 18 | Paul Ludwinski | C | 5 | 1 | 2 | 3 | 3 | 0 | 0 | 5 | 3 | 5 | 2 | 33.33% | 0 | 10.22 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 20 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | ||
| 19 | Oskar Pettersson | RW | 1 | 0 | 2 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 13.68 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 2.92 | 0 | 0 | ||
| 20 | Nathan Clurman | D | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 14.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Matthew Poitras | C | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Evan Vierling | C/LW/RW | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.29 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 321 | 55 | 100 | 155 | 24 | 114 | 20 | 345 | 533 | 175 | 391 | 10.32% | 163 | 15.68 | 10 | 18 | 28 | 584 | 1 | 1 | 2 | 317 | 11 | 7 | 47.65% | 1509 | 0 | 0 | 0 | 0 | 0.62 | 2 | 3 |
| 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 | Talyn Boyko | 11 | 8 | 3 | 0 | 0.921 | 2.36 | 635 | 6 | 1 | 25 | 316 | 0 | 0 | 0 | 1.000 | 2 | 11 | 5 | 2 | 0 | 1 | |
| 2 | Artur Akhtyamov | 5 | 3 | 2 | 0 | 0.911 | 3.01 | 299 | 0 | 0 | 15 | 169 | 0 | 0 | 1 | 0.000 | 0 | 5 | 0 | 1 | 0 | 0 | |
| 3 | Joel Blomqvist | 2 | 1 | 0 | 0 | 0.946 | 2.02 | 89 | 0 | 0 | 3 | 56 | 0 | 0 | 0 | 0.000 | 0 | 1 | 11 | 0 | 0 | 0 | |
| Team Total or Average | 18 | 12 | 5 | 0 | 0.921 | 2.52 | 1024 | 6 | 1 | 43 | 541 | 0 | 0 | 1 | 1.000 | 2 | 17 | 16 | 3 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aatu Raty | C | 22 | 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$ | |||||||
| Brendan Brisson | C/LW/RW | 24 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
| Brett Murray | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| 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$ | ||||||||
| 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 | ||||||
| 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$ | UFA | ||||
| 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$ | UFA | ||||
| Justin Richards | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| 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$ | UFA | ||||||
| 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$ | |||||
| 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 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 18 | 19 | 17 | 3 | 71 | 171 | 170 | 187 | 8 | 69 | 17 | 13 | 28 | 12 | 2 | 16.67% | 4 | 1 | 75.00% | 1 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 62.5% | 9.9% | 94.2% | 104.1 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 18 | 19 | 17 | 3 | 24 | 171 | 170 | 187 | 8 | 30 | 10 | 4 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 66.7% | 16.7% | 93.3% | 110.0 | LUCKY | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 18 | 19 | 17 | 3 | 33 | 171 | 170 | 187 | 8 | 34 | 13 | 8 | 25 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 55.6% | 18.2% | 88.2% | 106.4 | FUN | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 18 | 19 | 17 | 3 | 20 | 171 | 170 | 187 | 8 | 43 | 13 | 8 | 18 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 42.9% | 15.0% | 88.4% | 103.4 | FUN | |
| 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 18 | 19 | 17 | 3 | 59 | 171 | 170 | 187 | 8 | 87 | 29 | 14 | 47 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 30.0% | 6.8% | 92.0% | 98.7 | DULL | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 18 | 19 | 17 | 3 | 85 | 171 | 170 | 187 | 8 | 66 | 17 | 10 | 49 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 55.6% | 8.2% | 93.9% | 102.2 | DULL | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 18 | 19 | 17 | 3 | 27 | 171 | 170 | 187 | 8 | 35 | 9 | 6 | 19 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 40.0% | 7.4% | 91.4% | 98.8 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 18 | 19 | 17 | 3 | 20 | 171 | 170 | 187 | 8 | 32 | 6 | 8 | 23 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 60.0% | 15.0% | 93.8% | 108.8 | LUCKY | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 18 | 19 | 17 | 3 | 73 | 171 | 170 | 187 | 8 | 44 | 13 | 29 | 34 | 11 | 2 | 18.18% | 4 | 1 | 75.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 66.7% | 8.2% | 93.2% | 101.4 | DULL | |
| 10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 18 | 19 | 17 | 3 | 98 | 171 | 170 | 187 | 8 | 80 | 30 | 14 | 70 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 60.0% | 10.2% | 91.3% | 101.5 | LUCKY | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 18 | 19 | 17 | 3 | 23 | 171 | 170 | 187 | 8 | 22 | 6 | 6 | 15 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 50.0% | 17.4% | 86.4% | 103.8 | FUN | |
| _Vs Division | 10 | 6 | 4 | 0 | 1 | 0 | 1 | 0 | 34 | 30 | 4 | 16 | 0.800 | 34 | 60 | 94 | 1 | 0 | 18 | 19 | 17 | 3 | 304 | 171 | 170 | 187 | 8 | 335 | 108 | 63 | 203 | 40 | 6 | 15.00% | 29 | 3 | 89.66% | 1 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 50.9% | 11.2% | 91.0% | 102.2 | FUN | |
| _Vs Conference | 16 | 9 | 5 | 0 | 1 | 0 | 1 | 0 | 53 | 42 | 11 | 22 | 0.688 | 53 | 94 | 147 | 1 | 1 | 18 | 19 | 17 | 3 | 513 | 171 | 170 | 187 | 8 | 510 | 157 | 112 | 322 | 65 | 10 | 15.38% | 42 | 4 | 90.48% | 1 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 53.1% | 10.3% | 91.8% | 102.1 | LUCKY | |
| _Since Last GM Reset | 17 | 10 | 5 | 0 | 1 | 0 | 1 | 0 | 56 | 44 | 12 | 24 | 0.706 | 56 | 100 | 156 | 1 | 1 | 18 | 19 | 17 | 3 | 533 | 171 | 170 | 187 | 8 | 542 | 163 | 120 | 345 | 65 | 10 | 15.38% | 45 | 4 | 91.11% | 1 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 53.5% | 10.5% | 91.9% | 102.4 | LUCKY | |
| Total | 17 | 10 | 5 | 0 | 1 | 0 | 1 | 0 | 56 | 44 | 12 | 24 | 0.706 | 56 | 100 | 156 | 1 | 1 | 18 | 19 | 17 | 3 | 533 | 171 | 170 | 187 | 8 | 542 | 163 | 120 | 345 | 65 | 10 | 15.38% | 45 | 4 | 91.11% | 1 | 286 | 599 | 47.75% | 308 | 640 | 48.13% | 125 | 266 | 46.99% | 389 | 260 | 407 | 136 | 228 | 112 | 53.5% | 10.5% | 91.9% | 102.4 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 599 |
| Neutral Zone Start | 266 |
| Defensive Zone Start | 640 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 719 |
| Faceoffs Lost | 786 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 20.1 | 20.31 |
| 3rd Period | 31.1 | 30.68 |
| Overtime | 31.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 44 |
|---|---|
| PP Goal | 10 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 7 | 5 |
| Lost | 0 | 5 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 65 |
|---|---|
| PP Goal | 10 |
| PK Attempt | 45 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 31.4 |
| Shots Against | 31.9 |
| Goals For | 3.3 |
| Goals Against | 2.6 |
| Hits | 20.3 |
| Shots Blocked | 9.6 |
| Pim | 7.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Gulls2,Barracuda5 | RECAP | |||||||||||
| 2025-10-11 | @ | Barracuda4,Roadrunners3 | RECAP | |||||||||||
| 2025-10-13 | @ | Barracuda4,Silver Knights3 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Barracuda1,Condors2 | RECAP | |||||||||||
| 2025-10-17 | @ | Wranglers3,Barracuda5 | RECAP | |||||||||||
| 2025-10-19 | @ | Barracuda3,Condors5 | RECAP | |||||||||||
| 2025-10-20 | @ | Barracuda3,Reign5 | RECAP | |||||||||||
| 2025-10-21 | @ | Canucks4,Barracuda6 | RECAP | |||||||||||
| 2025-10-22 | @ | Barracuda2,Moose0 | RECAP | |||||||||||
| 2025-10-25 | @ | Checkers2,Barracuda3 | RECAP | |||||||||||
| 2025-10-28 | @ | Roadrunners1,Barracuda3 | RECAP | |||||||||||
| 2025-10-30 | @ | Barracuda2,Gulls3 | RECAP | |||||||||||
| 2025-11-01 | @ | Gulls2,Barracuda3 | RECAP | |||||||||||
| 2025-11-05 | @ | Barracuda2,Wranglers1 (SO) | RECAP | |||||||||||
| 2025-11-07 | @ | Moose3,Barracuda4 | RECAP | |||||||||||
| 2025-11-10 | @ | Barracuda4,Wolves2 | RECAP | |||||||||||
| 2025-11-12 | @ | Barracuda2,IceHogs3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,397,001$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Jose | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 29 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,397,001$ | 2,397,001$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 667,240$ | 13,317$ | 467,251$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 156 | 18,872$ | 2,717,568$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,717,568$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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