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Full Scoreboard »» |
| San Jose Barracuda 10-4-0, 20pts · 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 | 48 | 73 | 22 | 900,000$/2yrs | |||
Brett Murray | 0 | LW | 99.00 | 66 | 41 | 81 | 57 | 93 | 68 | 73 | 65 | 49 | 57 | 61 | 68 | 59 | 70 | 68 | 0 | 53 | 72 | 27 | 800,000$/2yrs | |||
Matthew Poitras | 0 | C | 100.00 | 60 | 32 | 92 | 63 | 68 | 78 | 75 | 61 | 75 | 68 | 60 | 56 | 61 | 60 | 59 | 0 | 37 | 72 | 21 | 870,000$/1yrs | |||
Brendan Brisson | 0 | C/LW/RW | 99.00 | 67 | 32 | 96 | 58 | 74 | 75 | 69 | 61 | 60 | 66 | 59 | 52 | 60 | 64 | 63 | 0 | 52 | 71 | 24 | 950,000$/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 | 52 | 70 | 25 | 800,000$/1yrs | |||
Filip Hallander | 15 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 66 | 72 | 60 | 67 | 59 | 56 | 65 | 57 | 63 | 61 | 0 | 52 | 69 | 25 | 775,000$/2yrs | |||
Filip Bystedt (R) | 0 | C | 100.00 | 67 | 40 | 80 | 60 | 84 | 66 | 68 | 59 | 47 | 59 | 58 | 62 | 59 | 59 | 57 | 0 | 52 | 69 | 21 | 950,000$/1yrs | |||
Owen Beck (R) | 0 | C | 98.00 | 70 | 40 | 74 | 60 | 77 | 66 | 68 | 59 | 40 | 60 | 57 | 62 | 59 | 59 | 57 | 0 | 52 | 69 | 21 | 885,000$/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$/1yrs | |||
Jack Malone (R) | 0 | C/LW/RW | 100.00 | 58 | 38 | 94 | 53 | 77 | 63 | 67 | 63 | 48 | 52 | 55 | 67 | 53 | 66 | 66 | 0 | 52 | 68 | 25 | 800,000$/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 | 50 | 68 | 23 | 775,000$/1yrs | |||
Carey Terrance (R) | 0 | C/LW | 100.00 | 59 | 38 | 89 | 58 | 74 | 64 | 82 | 55 | 42 | 55 | 57 | 61 | 56 | 57 | 56 | 0 | 50 | 67 | 20 | 886,667$/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 | 50 | 67 | 25 | 830,000$/3yrs | |||
Hunter Brzustewicz (R) | 0 | D | 98.00 | 59 | 38 | 92 | 53 | 76 | 64 | 66 | 51 | 30 | 59 | 52 | 63 | 55 | 59 | 58 | 0 | 52 | 68 | 20 | 950,000$/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 | 52 | 67 | 22 | 775,000$/1yrs | |||
Christian Kyrou (R) | 0 | D | 99.00 | 60 | 37 | 91 | 51 | 65 | 64 | 67 | 50 | 30 | 56 | 54 | 64 | 55 | 61 | 60 | 0 | 52 | 67 | 22 | 870,000$/1yrs | |||
Ville Ottavainen (R) | 0 | D | 99.00 | 65 | 41 | 82 | 51 | 92 | 64 | 67 | 50 | 30 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 52 | 67 | 23 | 867,500$/1yrs | |||
Gavin White (R) | 0 | D | 100.00 | 61 | 38 | 90 | 49 | 72 | 63 | 65 | 48 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 52 | 66 | 22 | 857,500$/1yrs | |||
Ludvig Jansson (R) | 0 | D | 100.00 | 76 | 39 | 75 | 52 | 71 | 62 | 89 | 51 | 30 | 54 | 52 | 62 | 53 | 59 | 56 | 0 | 50 | 66 | 21 | 855,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Justin Richards | 19 | C/RW | 100.00 | 69 | 39 | 77 | 53 | 73 | 64 | 85 | 63 | 74 | 56 | 52 | 66 | 54 | 66 | 64 | 0 | 26 | 68 | 27 | 800,000$/1yrs | |||
Oskar Pettersson (R) | 0 | RW | 100.00 | 61 | 39 | 89 | 54 | 83 | 62 | 67 | 60 | 49 | 52 | 54 | 63 | 53 | 59 | 58 | 0 | 28 | 66 | 21 | 865,000$/1yrs | |||
Paul Ludwinski (R) | 0 | C | 100.00 | 64 | 39 | 85 | 54 | 72 | 61 | 66 | 60 | 42 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 33 | 66 | 21 | 931,667$/1yrs | |||
Robert Calisti (R) | 0 | D | 100.00 | 80 | 43 | 70 | 60 | 99 | 69 | 60 | 57 | 30 | 55 | 52 | 64 | 62 | 59 | 56 | 0 | 26 | 70 | 24 | 800,000$/2yrs | |||
Nathan Clurman | 0 | D | 100.00 | 66 | 40 | 80 | 45 | 81 | 60 | 81 | 44 | 30 | 50 | 47 | 67 | 49 | 66 | 64 | 0 | 28 | 63 | 27 | 800,000$/1yrs | |||
Alex Kannok-Leipert | 0 | D | 100.00 | 81 | 41 | 56 | 43 | 74 | 58 | 79 | 42 | 30 | 48 | 45 | 65 | 46 | 62 | 58 | 0 | 27 | 61 | 25 | 800,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Blomqvist | 0 | 100.00 | 60 | 65 | 67 | 75 | 69 | 77 | 73 | 73 | 84 | 74 | 73 | 64 | 67 | 0 | 50 | 76 | 23 | 886,667$/1yrs |
Talyn Boyko | 0 | 98.00 | 74 | 80 | 69 | 88 | 57 | 72 | 73 | 74 | 72 | 73 | 73 | 58 | 60 | 0 | 49 | 76 | 23 | 900,000$/3yrs |
| Scratches | ||||||||||||||||||||
Artur Akhtyamov | 0 | 100.00 | 71 | 62 | 69 | 70 | 78 | 76 | 72 | 71 | 76 | 75 | 73 | 65 | 64 | 0 | 46 | 76 | 24 | 851,667$/1yrs |
Jacob Ingham | 68 | 100.00 | 70 | 58 | 68 | 85 | 62 | 75 | 71 | 70 | 75 | 74 | 72 | 67 | 66 | 0 | 35 | 75 | 25 | 900,000$/1yrs |
Evan Cormier | 0 | 100.00 | 68 | 58 | 67 | 84 | 68 | 74 | 70 | 68 | 74 | 72 | 71 | 67 | 71 | 0 | 33 | 74 | 27 | 800,000$/2yrs |
Daniil Chechelev | 0 | 100.00 | 60 | 64 | 65 | 81 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 61 | 65 | 0 | 33 | 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 | 14 | 4 | 10 | 14 | -3 | 4 | 0 | 29 | 32 | 7 | 29 | 12.50% | 2 | 19.11 | 0 | 3 | 3 | 44 | 1 | 0 | 1 | 12 | 0 | 2 | 41.31% | 351 | 0 | 0 | 0 | 0 | 1.05 | 1 | 1 | ||
| 2 | Brett Murray | LW | 14 | 8 | 3 | 11 | 0 | 9 | 5 | 19 | 66 | 18 | 38 | 12.12% | 8 | 21.00 | 2 | 1 | 3 | 49 | 0 | 0 | 0 | 36 | 3 | 1 | 48.39% | 31 | 0 | 0 | 0 | 0 | 0.75 | 0 | 1 | ||
| 3 | Aidan McDonough | C/LW | 14 | 4 | 6 | 10 | -2 | 10 | 0 | 10 | 42 | 14 | 19 | 9.52% | 6 | 18.80 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 21 | 1 | 1 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 4 | Filip Bystedt | C | 14 | 5 | 5 | 10 | 6 | 6 | 0 | 13 | 31 | 7 | 16 | 16.13% | 1 | 14.12 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 3 | 1 | 0 | 46.97% | 198 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | ||
| 5 | Amadeus Lombardi | C | 14 | 3 | 6 | 9 | -2 | 10 | 0 | 6 | 25 | 8 | 13 | 12.00% | 1 | 18.08 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 26 | 1 | 0 | 52.71% | 129 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
| 6 | Ville Ottavainen | D | 14 | 2 | 7 | 9 | -3 | 4 | 0 | 21 | 21 | 5 | 10 | 9.52% | 22 | 20.76 | 1 | 3 | 4 | 41 | 0 | 0 | 0 | 27 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 7 | Jack Malone | C/LW/RW | 14 | 3 | 6 | 9 | 5 | 2 | 0 | 4 | 30 | 15 | 22 | 10.00% | 4 | 13.26 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | ||
| 8 | Christian Kyrou | D | 14 | 5 | 2 | 7 | -3 | 2 | 0 | 15 | 21 | 5 | 8 | 23.81% | 16 | 21.00 | 2 | 0 | 2 | 40 | 0 | 1 | 1 | 28 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 9 | Brendan Brisson | C/LW/RW | 14 | 3 | 4 | 7 | -1 | 0 | 0 | 9 | 31 | 8 | 28 | 9.68% | 0 | 18.91 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 6 | 0 | 0 | 43.48% | 23 | 0 | 0 | 0 | 0 | 0.53 | 1 | 1 | ||
| 10 | Filip Hallander | C | 14 | 1 | 5 | 6 | 1 | 2 | 0 | 7 | 23 | 6 | 28 | 4.35% | 0 | 12.91 | 1 | 2 | 3 | 42 | 0 | 0 | 0 | 25 | 0 | 0 | 40.51% | 79 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 11 | Marc-Andre Gaudet | D | 14 | 0 | 5 | 5 | -8 | 6 | 0 | 24 | 14 | 6 | 15 | 0.00% | 27 | 23.37 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 12 | Aatu Raty | C | 14 | 0 | 5 | 5 | -2 | 8 | 0 | 36 | 31 | 18 | 31 | 0.00% | 0 | 16.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63.89% | 216 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 13 | Gavin White | D | 14 | 0 | 5 | 5 | 15 | 2 | 0 | 3 | 7 | 4 | 8 | 0.00% | 11 | 16.15 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 14 | Hunter Brzustewicz | D | 14 | 1 | 4 | 5 | -8 | 10 | 0 | 36 | 19 | 8 | 14 | 5.26% | 21 | 23.12 | 1 | 0 | 1 | 43 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 15 | Jordan Gustafson | C/LW | 13 | 2 | 3 | 5 | 6 | 4 | 0 | 12 | 18 | 5 | 17 | 11.11% | 2 | 12.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.67% | 30 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 16 | Ludvig Jansson | D | 13 | 1 | 3 | 4 | 12 | 2 | 0 | 28 | 9 | 4 | 6 | 11.11% | 14 | 15.54 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 17 | 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 | ||
| 18 | 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 | ||
| 19 | Carey Terrance | C/LW | 13 | 2 | 0 | 2 | -2 | 0 | 0 | 4 | 14 | 6 | 8 | 14.29% | 2 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.67% | 120 | 0 | 0 | 0 | 0 | 0.41 | 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 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0.43 | 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 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.33 | 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 | 264 | 45 | 83 | 128 | 19 | 81 | 5 | 283 | 438 | 150 | 313 | 10.27% | 138 | 15.71 | 8 | 14 | 22 | 468 | 1 | 1 | 2 | 265 | 9 | 6 | 47.25% | 1238 | 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 | 8 | 6 | 2 | 0 | 0.924 | 2.24 | 455 | 6 | 1 | 17 | 225 | 0 | 0 | 0 | 1.000 | 2 | 8 | 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 | 8 | 0 | 0 | 0 | |
| Team Total or Average | 15 | 10 | 4 | 0 | 0.922 | 2.49 | 844 | 6 | 1 | 35 | 450 | 0 | 0 | 1 | 1.000 | 2 | 14 | 13 | 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 | 25 | 800,000$ | 800,000$ | |||||||
| Alex Kannok-Leipert | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Amadeus Lombardi | C | 22 | 838,333$ | 838,333$ | RFA | ||||||
| Artur Akhtyamov | G | 24 | 851,667$ | 851,667$ | |||||||
| 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 | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Evan Vierling | C/LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Filip Bystedt | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
| Filip Hallander | C | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
| Gavin White | D | 22 | 857,500$ | 857,500$ | RFA | ||||||
| Hunter Brzustewicz | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Jack Malone | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 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 | 15 | 15 | 14 | 3 | 71 | 138 | 141 | 154 | 8 | 69 | 17 | 13 | 28 | 12 | 2 | 16.67% | 4 | 1 | 75.00% | 1 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 62.5% | 9.9% | 94.2% | 104.1 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 15 | 15 | 14 | 3 | 33 | 138 | 141 | 154 | 8 | 34 | 13 | 8 | 25 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 55.6% | 18.2% | 88.2% | 106.4 | FUN | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 15 | 15 | 14 | 3 | 20 | 138 | 141 | 154 | 8 | 43 | 13 | 8 | 18 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 42.9% | 15.0% | 88.4% | 103.4 | FUN | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 15 | 15 | 14 | 3 | 59 | 138 | 141 | 154 | 8 | 87 | 29 | 14 | 47 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 30.0% | 6.8% | 92.0% | 98.7 | DULL | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 15 | 15 | 14 | 3 | 85 | 138 | 141 | 154 | 8 | 66 | 17 | 10 | 49 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 55.6% | 8.2% | 93.9% | 102.2 | DULL | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 15 | 15 | 14 | 3 | 20 | 138 | 141 | 154 | 8 | 32 | 6 | 8 | 23 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 60.0% | 15.0% | 93.8% | 108.8 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 15 | 15 | 14 | 3 | 29 | 138 | 141 | 154 | 8 | 18 | 7 | 6 | 8 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 100.0% | 6.9% | 100.0% | 106.9 | DULL | |
| 8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 15 | 15 | 14 | 3 | 98 | 138 | 141 | 154 | 8 | 80 | 30 | 14 | 70 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 60.0% | 10.2% | 91.3% | 101.5 | LUCKY | |
| 9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 15 | 15 | 14 | 3 | 23 | 138 | 141 | 154 | 8 | 22 | 6 | 6 | 15 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 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 | 15 | 15 | 14 | 3 | 304 | 138 | 141 | 154 | 8 | 335 | 108 | 63 | 203 | 40 | 6 | 15.00% | 29 | 3 | 89.66% | 1 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 50.9% | 11.2% | 91.0% | 102.2 | FUN | |
| _Vs Conference | 13 | 7 | 4 | 0 | 1 | 0 | 1 | 0 | 43 | 34 | 9 | 18 | 0.692 | 43 | 77 | 120 | 1 | 1 | 15 | 15 | 14 | 3 | 418 | 138 | 141 | 154 | 8 | 419 | 132 | 79 | 260 | 51 | 8 | 15.69% | 35 | 3 | 91.43% | 1 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 53.0% | 10.3% | 91.9% | 102.2 | LUCKY | |
| _Since Last GM Reset | 14 | 8 | 4 | 0 | 1 | 0 | 1 | 0 | 46 | 36 | 10 | 20 | 0.714 | 46 | 83 | 129 | 1 | 1 | 15 | 15 | 14 | 3 | 438 | 138 | 141 | 154 | 8 | 451 | 138 | 87 | 283 | 51 | 8 | 15.69% | 38 | 3 | 92.11% | 1 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 53.5% | 10.5% | 92.0% | 102.5 | LUCKY | |
| Total | 14 | 8 | 4 | 0 | 1 | 0 | 1 | 0 | 46 | 36 | 10 | 20 | 0.714 | 46 | 83 | 129 | 1 | 1 | 15 | 15 | 14 | 3 | 438 | 138 | 141 | 154 | 8 | 451 | 138 | 87 | 283 | 51 | 8 | 15.69% | 38 | 3 | 92.11% | 1 | 233 | 490 | 47.55% | 250 | 527 | 47.44% | 102 | 217 | 47.00% | 315 | 208 | 338 | 112 | 191 | 93 | 53.5% | 10.5% | 92.0% | 102.5 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 490 |
| Neutral Zone Start | 217 |
| Defensive Zone Start | 527 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 585 |
| Faceoffs Lost | 649 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.9 | 9.57 |
| 2nd Period | 19.9 | 20.31 |
| 3rd Period | 30.9 | 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 | 2.1 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 36 |
|---|---|
| PP Goal | 8 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 6 | 4 |
| Lost | 0 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 51 |
|---|---|
| PP Goal | 8 |
| PK Attempt | 38 |
| PK Goal Against | 3 |
| Home | |
|---|---|
| Shots For | 31.3 |
| Shots Against | 32.2 |
| Goals For | 3.3 |
| Goals Against | 2.6 |
| Hits | 20.2 |
| Shots Blocked | 9.9 |
| Pim | 6.2 |
| 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 |
| 30 | 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 |
|---|---|---|---|
| 535,136$ | 13,317$ | 374,032$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 163 | 18,872$ | 2,849,672$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,849,672$ | 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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