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Full Scoreboard »» |
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Full Scoreboard »» |
| San Jose Barracuda 11-5-0, 22pts · 1st 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brett Murray | 0 | LW | 99.00 | 64 | 41 | 85 | 61 | 93 | 69 | 81 | 62 | 38 | 59 | 64 | 66 | 62 | 66 | 65 | 0 | 95 | 72 | 27 | 800,000$/2yrs | |||
Aidan McDonough (R) | 0 | C/LW | 99.00 | 65 | 40 | 82 | 61 | 80 | 69 | 76 | 61 | 44 | 61 | 62 | 65 | 61 | 65 | 63 | 0 | 95 | 72 | 26 | 800,000$/1yrs | |||
Aatu Raty (R) | 0 | C | 99.00 | 84 | 33 | 87 | 62 | 76 | 74 | 80 | 58 | 87 | 60 | 62 | 60 | 60 | 64 | 62 | 0 | 93 | 72 | 23 | 900,000$/2yrs | |||
Amadeus Lombardi (R) | 0 | C | 99.00 | 62 | 37 | 87 | 66 | 63 | 69 | 79 | 63 | 70 | 66 | 63 | 60 | 64 | 58 | 56 | 0 | 93 | 72 | 22 | 838,333$/1yrs | |||
Filip Bystedt (R) | 0 | C | 100.00 | 64 | 40 | 83 | 62 | 84 | 66 | 84 | 59 | 69 | 62 | 59 | 60 | 61 | 56 | 54 | 0 | 94 | 70 | 22 | 950,000$/1yrs | |||
Matthew Poitras | 0 | C | 100.00 | 58 | 32 | 88 | 60 | 68 | 76 | 71 | 58 | 63 | 67 | 57 | 53 | 57 | 61 | 60 | 0 | 91 | 70 | 22 | 870,000$/1yrs | |||
Filip Hallander | 15 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 66 | 72 | 60 | 67 | 59 | 56 | 65 | 57 | 63 | 61 | 0 | 94 | 69 | 25 | 775,000$/2yrs | |||
Justin Richards | 19 | C/RW | 100.00 | 69 | 39 | 77 | 53 | 73 | 64 | 85 | 63 | 74 | 56 | 52 | 66 | 54 | 66 | 64 | 0 | 31 | 68 | 28 | 800,000$/1yrs | |||
Brendan Brisson | 0 | C/LW/RW | 99.00 | 70 | 40 | 74 | 56 | 72 | 64 | 87 | 60 | 44 | 56 | 55 | 63 | 56 | 61 | 58 | 0 | 94 | 68 | 24 | 950,000$/3yrs | |||
Evan Vierling (R) | 0 | C/LW/RW | 100.00 | 57 | 37 | 96 | 58 | 70 | 64 | 71 | 59 | 67 | 53 | 60 | 62 | 57 | 59 | 59 | 0 | 93 | 68 | 23 | 775,000$/1yrs | |||
Jack Malone (R) | 0 | C/LW/RW | 100.00 | 58 | 38 | 94 | 54 | 77 | 63 | 85 | 61 | 66 | 53 | 54 | 65 | 53 | 63 | 62 | 0 | 94 | 67 | 25 | 800,000$/3yrs | |||
Jordan Gustafson (R) | 0 | C/LW | 100.00 | 64 | 39 | 83 | 58 | 72 | 64 | 77 | 54 | 48 | 56 | 57 | 61 | 56 | 59 | 57 | 0 | 93 | 67 | 25 | 830,000$/3yrs | |||
Oskar Pettersson (R) | 0 | RW | 100.00 | 63 | 39 | 86 | 56 | 83 | 62 | 88 | 57 | 50 | 53 | 55 | 61 | 54 | 55 | 54 | 0 | 30 | 66 | 22 | 865,000$/1yrs | |||
Robert Calisti (R) | 0 | D | 100.00 | 80 | 43 | 70 | 60 | 99 | 69 | 60 | 57 | 30 | 55 | 52 | 64 | 62 | 59 | 56 | 0 | 31 | 70 | 25 | 800,000$/2yrs | |||
Ethan Del Mastro (R) | 0 | D | 98.00 | 72 | 34 | 81 | 55 | 85 | 82 | 72 | 50 | 30 | 59 | 57 | 59 | 53 | 63 | 61 | 0 | 86 | 69 | 23 | 855,833$/1yrs | |||
Nathan Clurman | 0 | D | 100.00 | 65 | 40 | 82 | 52 | 81 | 64 | 78 | 50 | 30 | 57 | 51 | 67 | 54 | 66 | 64 | 0 | 58 | 68 | 28 | 800,000$/1yrs | |||
Marc-Andre Gaudet (R) | 0 | D | 100.00 | 59 | 38 | 92 | 54 | 74 | 63 | 70 | 51 | 30 | 60 | 50 | 62 | 55 | 57 | 57 | 0 | 83 | 68 | 23 | 775,000$/1yrs | |||
Christian Kyrou (R) | 0 | D | 99.00 | 58 | 37 | 95 | 54 | 69 | 65 | 80 | 52 | 30 | 60 | 54 | 62 | 57 | 57 | 57 | 0 | 94 | 68 | 22 | 870,000$/1yrs | |||
Ludvig Jansson (R) | 0 | D | 100.00 | 76 | 39 | 75 | 52 | 71 | 62 | 89 | 51 | 30 | 54 | 52 | 62 | 53 | 59 | 56 | 0 | 92 | 66 | 22 | 855,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Owen Beck (R) | 0 | C | 100.00 | 77 | 32 | 92 | 55 | 73 | 71 | 69 | 51 | 79 | 54 | 55 | 55 | 53 | 61 | 60 | 0 | 89 | 66 | 22 | 885,000$/1yrs | |||
Paul Ludwinski (R) | 0 | C | 100.00 | 64 | 39 | 84 | 55 | 72 | 61 | 82 | 58 | 60 | 53 | 54 | 61 | 53 | 55 | 54 | 0 | 47 | 66 | 22 | 931,667$/1yrs | |||
Carey Terrance (R) | 0 | C/LW | 100.00 | 65 | 39 | 82 | 55 | 74 | 60 | 72 | 57 | 66 | 51 | 52 | 60 | 52 | 54 | 52 | 0 | 72 | 64 | 21 | 886,667$/3yrs | |||
Alex Kannok-Leipert | 0 | D | 100.00 | 83 | 42 | 52 | 48 | 74 | 63 | 86 | 48 | 30 | 54 | 52 | 65 | 53 | 63 | 58 | 0 | 50 | 66 | 25 | 800,000$/2yrs | |||
Ville Ottavainen (R) | 0 | D | 100.00 | 67 | 41 | 80 | 51 | 89 | 62 | 87 | 49 | 30 | 56 | 51 | 63 | 54 | 59 | 57 | 0 | 88 | 66 | 23 | 867,500$/1yrs | |||
Gavin White (R) | 0 | D | 100.00 | 60 | 38 | 91 | 49 | 76 | 62 | 82 | 48 | 30 | 55 | 52 | 63 | 54 | 59 | 58 | 0 | 73 | 65 | 23 | 857,500$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Blomqvist | 0 | 100.00 | 60 | 67 | 68 | 75 | 69 | 78 | 73 | 74 | 85 | 75 | 73 | 65 | 68 | 0 | 83 | 77 | 24 | 886,667$/1yrs |
Artur Akhtyamov | 0 | 100.00 | 70 | 71 | 68 | 68 | 77 | 75 | 70 | 70 | 75 | 75 | 71 | 62 | 62 | 0 | 92 | 75 | 24 | 851,667$/1yrs |
| Scratches | ||||||||||||||||||||
Jacob Ingham | 68 | 100.00 | 70 | 58 | 68 | 85 | 62 | 75 | 71 | 70 | 75 | 74 | 72 | 67 | 66 | 0 | 27 | 75 | 25 | 900,000$/1yrs |
Evan Cormier | 0 | 100.00 | 68 | 58 | 67 | 84 | 68 | 74 | 70 | 68 | 74 | 72 | 71 | 67 | 71 | 0 | 27 | 74 | 28 | 800,000$/2yrs |
Talyn Boyko | 0 | 100.00 | 69 | 59 | 68 | 88 | 56 | 75 | 69 | 69 | 75 | 76 | 71 | 60 | 59 | 0 | 78 | 74 | 23 | 900,000$/3yrs |
Daniil Chechelev | 0 | 100.00 | 60 | 64 | 65 | 81 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 61 | 65 | 0 | 27 | 67 | 25 | |
| 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 | Brett Murray | LW | 16 | 10 | 7 | 17 | 6 | 2 | 0 | 11 | 87 | 17 | 56 | 11.49% | 4 | 22.45 | 1 | 4 | 5 | 54 | 0 | 0 | 0 | 52 | 2 | 2 | 42.31% | 26 | 0 | 0 | 2 | 0 | 0.95 | 0 | 0 | ||
| 2 | Aidan McDonough | C/LW | 16 | 5 | 10 | 15 | -1 | 4 | 0 | 27 | 56 | 23 | 41 | 8.93% | 3 | 22.65 | 1 | 4 | 5 | 49 | 0 | 0 | 0 | 30 | 2 | 0 | 30.91% | 110 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | ||
| 3 | Aatu Raty | C | 16 | 7 | 6 | 13 | 7 | 14 | 0 | 35 | 53 | 12 | 31 | 13.21% | 0 | 20.10 | 1 | 0 | 1 | 16 | 0 | 0 | 0 | 0 | 2 | 0 | 55.37% | 354 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
| 4 | Amadeus Lombardi | C | 16 | 6 | 7 | 13 | -4 | 0 | 0 | 14 | 44 | 15 | 46 | 13.64% | 7 | 20.24 | 4 | 1 | 5 | 49 | 0 | 0 | 0 | 52 | 1 | 0 | 46.30% | 216 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
| 5 | Filip Hallander | C | 16 | 2 | 10 | 12 | 7 | 4 | 0 | 11 | 15 | 6 | 20 | 13.33% | 0 | 9.40 | 0 | 3 | 3 | 53 | 1 | 1 | 2 | 20 | 0 | 1 | 45.16% | 31 | 0 | 0 | 0 | 0 | 1.60 | 0 | 0 | ||
| 6 | Jack Malone | C/LW/RW | 16 | 7 | 4 | 11 | 0 | 4 | 0 | 7 | 46 | 12 | 32 | 15.22% | 3 | 16.34 | 1 | 1 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
| 7 | Brendan Brisson | C/LW/RW | 16 | 2 | 7 | 9 | 4 | 10 | 0 | 27 | 45 | 10 | 43 | 4.44% | 5 | 19.21 | 1 | 3 | 4 | 54 | 0 | 0 | 0 | 2 | 0 | 1 | 46.88% | 32 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 8 | Jordan Gustafson | C/LW | 16 | 4 | 5 | 9 | 0 | 2 | 0 | 26 | 39 | 8 | 24 | 10.26% | 4 | 15.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31.25% | 16 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 9 | Filip Bystedt | C | 16 | 0 | 7 | 7 | 1 | 2 | 0 | 18 | 34 | 8 | 41 | 0.00% | 3 | 16.71 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 49.66% | 290 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 10 | Ethan Del Mastro | D | 16 | 1 | 5 | 6 | 3 | 16 | 0 | 21 | 24 | 9 | 12 | 4.17% | 13 | 26.20 | 1 | 2 | 3 | 59 | 0 | 1 | 1 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 11 | Ville Ottavainen | D | 13 | 0 | 6 | 6 | 3 | 4 | 0 | 31 | 7 | 3 | 11 | 0.00% | 15 | 19.97 | 0 | 2 | 2 | 33 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 12 | Nathan Clurman | D | 16 | 1 | 4 | 5 | 0 | 2 | 0 | 7 | 8 | 9 | 15 | 12.50% | 16 | 21.13 | 0 | 1 | 1 | 56 | 1 | 0 | 1 | 45 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
| 13 | Owen Beck | C | 13 | 2 | 2 | 4 | -7 | 2 | 0 | 33 | 24 | 4 | 15 | 8.33% | 2 | 19.03 | 2 | 0 | 2 | 38 | 0 | 0 | 0 | 22 | 0 | 0 | 52.94% | 306 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 14 | Ludvig Jansson | D | 16 | 1 | 3 | 4 | 1 | 14 | 0 | 26 | 9 | 6 | 10 | 11.11% | 16 | 17.24 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 15 | Christian Kyrou | D | 16 | 0 | 3 | 3 | 4 | 0 | 0 | 10 | 17 | 5 | 15 | 0.00% | 26 | 23.66 | 0 | 0 | 0 | 44 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 16 | Alex Kannok-Leipert | D | 13 | 0 | 1 | 1 | -4 | 18 | 0 | 43 | 9 | 2 | 10 | 0.00% | 11 | 16.49 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
| 17 | Robert Calisti | D | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 9 | 3 | 2 | 2 | 0.00% | 4 | 19.44 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 18 | Matthew Poitras | C | 16 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 0 | 3 | 0.00% | 0 | 2.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64.29% | 42 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 19 | Evan Vierling | C/LW/RW | 16 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0.22 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 5.77 | 0 | 0 | ||
| 20 | Justin Richards | C/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Marc-Andre Gaudet | D | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 3 | 15.82 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Oskar Pettersson | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Paul Ludwinski | C | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 304 | 49 | 89 | 138 | 23 | 98 | 0 | 358 | 525 | 152 | 427 | 9.33% | 135 | 16.10 | 12 | 22 | 34 | 555 | 2 | 2 | 4 | 365 | 11 | 5 | 49.79% | 1440 | 0 | 0 | 2 | 0 | 0.56 | 0 | 0 |
| 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 | Joel Blomqvist | 13 | 8 | 3 | 2 | 0.924 | 2.60 | 786 | 4 | 0 | 34 | 448 | 0 | 0 | 0 | 0.000 | 0 | 13 | 3 | 2 | 0 | 3 | |
| 2 | Artur Akhtyamov | 4 | 3 | 0 | 0 | 0.949 | 1.42 | 211 | 0 | 1 | 5 | 98 | 0 | 1 | 0 | 0.000 | 0 | 3 | 13 | 1 | 0 | 0 | |
| Team Total or Average | 17 | 11 | 3 | 2 | 0.929 | 2.35 | 997 | 4 | 1 | 39 | 546 | 0 | 1 | 0 | 0.000 | 0 | 16 | 16 | 3 | 0 | 3 |
| 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 | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| 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 | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
| Christian Kyrou | D | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Daniil Chechelev | G | 25 | 0$ | ||||||||
| 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 | 22 | 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$ | UFA | ||||
| Jacob Ingham | G | 25 | 900,000$ | 900,000$ | |||||||
| Joel Blomqvist | G | 24 | 886,667$ | 886,667$ | |||||||
| Jordan Gustafson | C/LW | 25 | 830,000$ | 830,000$ | 830,000$ | 830,000$ | UFA | ||||
| Justin Richards | C/RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Ludvig Jansson | D | 22 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | |||||
| Marc-Andre Gaudet | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Matthew Poitras | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Nathan Clurman | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Oskar Pettersson | RW | 22 | 865,000$ | 865,000$ | RFA | ||||||
| Owen Beck | C | 22 | 885,000$ | 885,000$ | RFA | ||||||
| Paul Ludwinski | C | 22 | 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$ | |||||
| 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 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 6 | 1.000 | 10 | 19 | 29 | 0 | 1 | 11 | 17 | 20 | 1 | 87 | 127 | 184 | 188 | 26 | 79 | 20 | 16 | 55 | 19 | 4 | 21.05% | 7 | 0 | 100.00% | 0 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 66.7% | 11.5% | 96.2% | 107.7 | LUCKY | |
| 2 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 8 | 0.667 | 17 | 30 | 47 | 0 | 0 | 11 | 17 | 20 | 1 | 189 | 127 | 184 | 188 | 26 | 194 | 44 | 32 | 121 | 19 | 4 | 21.05% | 16 | 2 | 87.50% | 0 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 50.0% | 9.0% | 92.3% | 101.3 | LUCKY | |
| 3 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 22 | 21 | 1 | 8 | 0.571 | 22 | 40 | 62 | 0 | 0 | 11 | 17 | 20 | 1 | 249 | 127 | 184 | 188 | 26 | 273 | 71 | 54 | 182 | 25 | 4 | 16.00% | 27 | 5 | 81.48% | 2 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 52.9% | 8.8% | 92.3% | 101.1 | DULL | |
| _Vs Division | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 36 | 3 | 16 | 0.615 | 39 | 70 | 109 | 0 | 0 | 11 | 17 | 20 | 1 | 438 | 127 | 184 | 188 | 26 | 467 | 115 | 86 | 303 | 44 | 8 | 18.18% | 43 | 7 | 83.72% | 2 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 51.7% | 8.9% | 92.3% | 101.2 | Unlucky | |
| _Vs Conference | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 49 | 39 | 10 | 22 | 0.688 | 49 | 89 | 138 | 0 | 1 | 11 | 17 | 20 | 1 | 525 | 127 | 184 | 188 | 26 | 546 | 135 | 102 | 358 | 63 | 12 | 19.05% | 50 | 7 | 86.00% | 2 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 53.6% | 9.3% | 92.9% | 102.2 | LUCKY | |
| _Since Last GM Reset | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 49 | 39 | 10 | 22 | 0.688 | 49 | 89 | 138 | 0 | 1 | 11 | 17 | 20 | 1 | 525 | 127 | 184 | 188 | 26 | 546 | 135 | 102 | 358 | 63 | 12 | 19.05% | 50 | 7 | 86.00% | 2 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 53.6% | 9.3% | 92.9% | 102.2 | LUCKY | |
| Total | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 49 | 39 | 10 | 22 | 0.688 | 49 | 89 | 138 | 0 | 1 | 11 | 17 | 20 | 1 | 525 | 127 | 184 | 188 | 26 | 546 | 135 | 102 | 358 | 63 | 12 | 19.05% | 50 | 7 | 86.00% | 2 | 309 | 613 | 50.41% | 293 | 586 | 50.00% | 115 | 241 | 47.72% | 396 | 269 | 387 | 127 | 213 | 105 | 53.6% | 9.3% | 92.9% | 102.2 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 613 |
| Neutral Zone Start | 241 |
| Defensive Zone Start | 586 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 717 |
| Faceoffs Lost | 723 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 7.9 | 9.57 |
| 2nd Period | 19.4 | 20.31 |
| 3rd Period | 31.2 | 30.68 |
| Overtime | 32.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 35 |
|---|---|
| PP Goal | 12 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 5 |
| Lost | 3 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 63 |
|---|---|
| PP Goal | 12 |
| PK Attempt | 50 |
| PK Goal Against | 7 |
| Home | |
|---|---|
| Shots For | 32.8 |
| Shots Against | 34.1 |
| Goals For | 3.1 |
| Goals Against | 2.4 |
| Hits | 22.4 |
| Shots Blocked | 8.4 |
| Pim | 6.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-21 | @ | Condors6,Barracuda3 | RECAP | |||||||||||
| 2026-04-23 | @ | Condors1,Barracuda3 | RECAP | |||||||||||
| 2026-04-25 | @ | Barracuda3,Condors2 | RECAP | |||||||||||
| 2026-04-27 | @ | Barracuda2,Condors1 | RECAP | |||||||||||
| 2026-04-29 | @ | Condors3,Barracuda2 | RECAP | |||||||||||
| 2026-05-01 | @ | Barracuda4,Condors2 | RECAP | |||||||||||
| 2026-05-05 | @ | Gulls4,Barracuda3 (OT) | RECAP | |||||||||||
| 2026-05-07 | @ | Gulls3,Barracuda4 | RECAP | |||||||||||
| 2026-05-09 | @ | Barracuda1,Gulls2 | RECAP | |||||||||||
| 2026-05-11 | @ | Barracuda3,Gulls2 | RECAP | |||||||||||
| 2026-05-13 | @ | Gulls4,Barracuda5 | RECAP | |||||||||||
| 2026-05-15 | @ | Barracuda3,Gulls4 (OT) | RECAP | |||||||||||
| 2026-05-17 | @ | Gulls2,Barracuda3 (OT) | RECAP | |||||||||||
| 2026-05-19 | @ | Wolves1,Barracuda2 | RECAP | |||||||||||
| 2026-05-21 | @ | Wolves2,Barracuda4 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-05-23 | @ | Barracuda4,Wolves0 | RECAP | |||||||||||
| 2026-05-25 | @ | |||||||||||||
| 2026-05-27 | @ | |||||||||||||
| 2026-05-29 | @ | |||||||||||||
| 2026-05-31 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,547,584$ | 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 |
| 27 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,547,584$ | 2,547,584$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 8 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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