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Full Scoreboard »» |
San Jose Barracuda 4-3-0, 8pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 83 | 33 | 85 | 64 | 76 | 73 | 70 | 62 | 84 | 59 | 69 | 56 | 66 | 62 | 60 | 0 | 40 | 73 | 22 | 900,000$/2yrs | |||
![]() | 0 | LW | 98.00 | 66 | 41 | 81 | 57 | 93 | 68 | 73 | 65 | 49 | 57 | 61 | 68 | 59 | 70 | 68 | 0 | 44 | 72 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 32 | 92 | 63 | 68 | 78 | 75 | 61 | 75 | 68 | 60 | 56 | 61 | 60 | 59 | 0 | 28 | 72 | 21 | 870,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 96 | 58 | 74 | 75 | 69 | 61 | 60 | 66 | 59 | 52 | 60 | 64 | 63 | 0 | 44 | 71 | 23 | 950,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 39 | 88 | 55 | 80 | 66 | 69 | 64 | 42 | 54 | 59 | 67 | 56 | 68 | 67 | 0 | 44 | 70 | 25 | 800,000$/1yrs | |||
![]() | 15 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 66 | 72 | 60 | 67 | 59 | 56 | 65 | 57 | 63 | 61 | 0 | 44 | 69 | 25 | 775,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 40 | 80 | 60 | 84 | 66 | 68 | 59 | 47 | 59 | 58 | 62 | 59 | 59 | 57 | 0 | 44 | 69 | 21 | 950,000$/1yrs | |||
![]() | 0 | C | 98.00 | 70 | 40 | 74 | 60 | 77 | 66 | 68 | 59 | 40 | 60 | 57 | 62 | 59 | 59 | 57 | 0 | 44 | 69 | 21 | 885,000$/1yrs | |||
![]() | 0 | C | 98.00 | 59 | 38 | 92 | 58 | 69 | 65 | 69 | 60 | 64 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 44 | 68 | 22 | 838,333$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 38 | 94 | 53 | 77 | 63 | 67 | 63 | 48 | 52 | 55 | 67 | 53 | 66 | 66 | 0 | 44 | 68 | 25 | 800,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 55 | 38 | 93 | 57 | 70 | 65 | 73 | 55 | 41 | 58 | 58 | 64 | 57 | 63 | 62 | 0 | 41 | 68 | 23 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 38 | 89 | 58 | 74 | 64 | 82 | 55 | 42 | 55 | 57 | 61 | 56 | 57 | 56 | 0 | 41 | 67 | 20 | 886,667$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 39 | 83 | 58 | 72 | 64 | 77 | 54 | 48 | 56 | 57 | 61 | 56 | 59 | 57 | 0 | 41 | 67 | 25 | 830,000$/3yrs | |||
![]() | 0 | D | 98.00 | 59 | 38 | 92 | 53 | 76 | 64 | 66 | 51 | 30 | 59 | 52 | 63 | 55 | 59 | 58 | 0 | 44 | 68 | 20 | 950,000$/2yrs | |||
![]() | 0 | D | 98.00 | 57 | 38 | 91 | 60 | 74 | 67 | 60 | 56 | 30 | 54 | 50 | 62 | 60 | 56 | 55 | 0 | 44 | 67 | 22 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 37 | 91 | 51 | 65 | 64 | 67 | 50 | 30 | 56 | 54 | 64 | 55 | 61 | 60 | 0 | 44 | 67 | 22 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 82 | 51 | 92 | 64 | 67 | 50 | 30 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 44 | 67 | 23 | 867,500$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 38 | 90 | 49 | 72 | 63 | 65 | 48 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 44 | 66 | 22 | 857,500$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 39 | 75 | 52 | 71 | 62 | 89 | 51 | 30 | 54 | 52 | 62 | 53 | 59 | 56 | 0 | 41 | 66 | 21 | 855,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 19 | C/RW | 100.00 | 69 | 39 | 77 | 53 | 73 | 64 | 85 | 63 | 74 | 56 | 52 | 66 | 54 | 66 | 64 | 0 | 33 | 68 | 27 | 800,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 39 | 89 | 54 | 83 | 62 | 67 | 60 | 49 | 52 | 54 | 63 | 53 | 59 | 58 | 0 | 35 | 66 | 21 | 865,000$/1yrs | |||
![]() | 0 | C | 90.06 | 64 | 39 | 85 | 54 | 72 | 61 | 66 | 60 | 42 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 35 | 66 | 21 | 931,667$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 43 | 70 | 60 | 99 | 69 | 60 | 57 | 30 | 55 | 52 | 64 | 62 | 59 | 56 | 0 | 33 | 70 | 24 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 40 | 80 | 45 | 81 | 60 | 81 | 44 | 30 | 50 | 47 | 67 | 49 | 66 | 64 | 0 | 35 | 63 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 41 | 56 | 43 | 74 | 58 | 79 | 42 | 30 | 48 | 45 | 65 | 46 | 62 | 58 | 0 | 34 | 61 | 25 | 800,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 60 | 65 | 67 | 75 | 69 | 77 | 73 | 73 | 84 | 74 | 73 | 64 | 67 | 0 | 39 | 76 | 23 | 886,667$/1yrs |
![]() | 0 | 100.00 | 74 | 80 | 69 | 88 | 57 | 72 | 73 | 74 | 72 | 73 | 73 | 58 | 60 | 0 | 38 | 76 | 23 | 900,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 71 | 62 | 69 | 70 | 78 | 76 | 72 | 71 | 76 | 75 | 73 | 65 | 64 | 0 | 43 | 76 | 23 | 851,667$/1yrs |
![]() | 68 | 100.00 | 70 | 58 | 68 | 85 | 62 | 75 | 71 | 70 | 75 | 74 | 72 | 67 | 66 | 0 | 39 | 75 | 25 | 900,000$/1yrs |
![]() | 0 | 100.00 | 68 | 58 | 67 | 84 | 68 | 74 | 70 | 68 | 74 | 72 | 71 | 67 | 71 | 0 | 36 | 74 | 27 | 800,000$/2yrs |
![]() | 0 | 100.00 | 60 | 64 | 65 | 81 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 61 | 65 | 0 | 36 | 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 |
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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 |
# | 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 | 7 | 2 | 5 | 7 | -2 | 4 | 0 | 16 | 17 | 5 | 19 | 11.76% | 1 | 18.89 | 0 | 2 | 2 | 23 | 1 | 0 | 1 | 6 | 0 | 1 | 39.77% | 176 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | ||
2 | Ville Ottavainen | D | 7 | 2 | 4 | 6 | -1 | 4 | 0 | 10 | 10 | 2 | 5 | 20.00% | 12 | 20.80 | 1 | 2 | 3 | 23 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
3 | Filip Hallander | C | 7 | 1 | 4 | 5 | 1 | 2 | 0 | 7 | 12 | 4 | 16 | 8.33% | 0 | 14.04 | 1 | 2 | 3 | 21 | 0 | 0 | 0 | 13 | 0 | 0 | 31.82% | 44 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | ||
4 | Aidan McDonough | C/LW | 7 | 1 | 4 | 5 | -2 | 6 | 0 | 3 | 16 | 11 | 8 | 6.25% | 4 | 18.79 | 0 | 2 | 2 | 21 | 0 | 0 | 0 | 12 | 1 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
5 | Filip Bystedt | C | 7 | 3 | 2 | 5 | 2 | 2 | 0 | 4 | 15 | 4 | 10 | 20.00% | 0 | 13.10 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 41.24% | 97 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | ||
6 | Jack Malone | C/LW/RW | 7 | 2 | 3 | 5 | 1 | 2 | 0 | 2 | 16 | 8 | 11 | 12.50% | 2 | 12.22 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | ||
7 | Brett Murray | LW | 7 | 3 | 1 | 4 | -3 | 4 | 0 | 12 | 27 | 9 | 15 | 11.11% | 3 | 21.59 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 19 | 1 | 0 | 55.56% | 18 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
8 | Christian Kyrou | D | 7 | 2 | 2 | 4 | -1 | 2 | 0 | 10 | 8 | 2 | 2 | 25.00% | 8 | 20.81 | 1 | 0 | 1 | 23 | 0 | 1 | 1 | 15 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
9 | Aatu Raty | C | 7 | 0 | 4 | 4 | -4 | 2 | 0 | 17 | 6 | 5 | 14 | 0.00% | 0 | 13.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.97% | 78 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
10 | Amadeus Lombardi | C | 7 | 2 | 2 | 4 | -1 | 2 | 0 | 4 | 10 | 1 | 6 | 20.00% | 1 | 16.99 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 15 | 0 | 0 | 53.73% | 67 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
11 | Marc-Andre Gaudet | D | 7 | 0 | 3 | 3 | -9 | 4 | 0 | 12 | 4 | 4 | 9 | 0.00% | 16 | 23.57 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
12 | Brendan Brisson | C/LW/RW | 7 | 2 | 1 | 3 | -4 | 0 | 0 | 5 | 14 | 4 | 12 | 14.29% | 0 | 19.32 | 1 | 0 | 1 | 26 | 0 | 0 | 0 | 3 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
13 | Gavin White | D | 7 | 0 | 3 | 3 | 8 | 2 | 0 | 3 | 5 | 1 | 3 | 0.00% | 8 | 16.08 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
14 | 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 | ||
15 | Hunter Brzustewicz | D | 7 | 1 | 2 | 3 | -9 | 6 | 0 | 19 | 10 | 4 | 8 | 10.00% | 9 | 23.06 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
16 | 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 | ||
17 | Carey Terrance | C/LW | 6 | 2 | 0 | 2 | -2 | 0 | 0 | 4 | 5 | 5 | 3 | 40.00% | 2 | 9.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32.39% | 71 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
18 | Jordan Gustafson | C/LW | 6 | 1 | 1 | 2 | 2 | 2 | 0 | 2 | 7 | 1 | 7 | 14.29% | 1 | 10.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 57.14% | 21 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
19 | 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 | ||
20 | Matthew Poitras | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 1.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Evan Vierling | C/LW/RW | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Ludvig Jansson | D | 6 | 0 | 0 | 0 | 5 | 0 | 0 | 13 | 6 | 2 | 1 | 0.00% | 8 | 15.41 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 131 | 25 | 45 | 70 | -11 | 44 | 0 | 149 | 192 | 78 | 152 | 13.02% | 76 | 15.76 | 6 | 10 | 16 | 241 | 1 | 1 | 2 | 146 | 4 | 2 | 44.10% | 619 | 0 | 0 | 0 | 0 | 0.68 | 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 | 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 | |
2 | Joel Blomqvist | 2 | 1 | 0 | 0 | 0.946 | 2.02 | 89 | 0 | 0 | 3 | 56 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | |
3 | Talyn Boyko | 1 | 0 | 1 | 0 | 0.778 | 8.00 | 30 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 0.000 | 0 | 1 | 5 | 0 | 0 | 0 | |
Team Total or Average | 8 | 4 | 3 | 0 | 0.909 | 3.15 | 419 | 0 | 0 | 22 | 243 | 0 | 0 | 1 | 0.000 | 0 | 7 | 6 | 1 | 0 | 0 |
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 | 23 | 851,667$ | 851,667$ | RFA | ||||||
Brendan Brisson | C/LW/RW | 23 | 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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 9 | 6 | 9 | 1 | 33 | 56 | 71 | 62 | 3 | 29 | 7 | 4 | 14 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 1 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 50.0% | 15.2% | 89.7% | 104.8 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 9 | 6 | 9 | 1 | 20 | 56 | 71 | 62 | 3 | 43 | 13 | 8 | 18 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 42.9% | 15.0% | 88.4% | 103.4 | FUN | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 9 | 6 | 9 | 1 | 59 | 56 | 71 | 62 | 3 | 87 | 29 | 14 | 47 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 30.0% | 6.8% | 92.0% | 98.7 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 9 | 6 | 9 | 1 | 28 | 56 | 71 | 62 | 3 | 32 | 8 | 4 | 29 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 40.0% | 14.3% | 90.6% | 104.9 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 9 | 6 | 9 | 1 | 29 | 56 | 71 | 62 | 3 | 31 | 13 | 8 | 26 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 83.3% | 17.2% | 93.5% | 110.8 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 9 | 6 | 9 | 1 | 23 | 56 | 71 | 62 | 3 | 22 | 6 | 6 | 15 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 50.0% | 17.4% | 86.4% | 103.8 | FUN | |
_Vs Division | 6 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 21 | 20 | 1 | 8 | 0.667 | 21 | 37 | 58 | 1 | 0 | 9 | 6 | 9 | 1 | 164 | 56 | 71 | 62 | 3 | 212 | 68 | 40 | 120 | 24 | 4 | 16.67% | 20 | 2 | 90.00% | 1 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 48.6% | 12.8% | 90.6% | 103.4 | FUN | |
_Vs Conference | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 25 | 23 | 2 | 8 | 0.571 | 25 | 45 | 70 | 1 | 0 | 9 | 6 | 9 | 1 | 192 | 56 | 71 | 62 | 3 | 244 | 76 | 44 | 149 | 27 | 6 | 22.22% | 21 | 2 | 90.48% | 1 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 47.5% | 13.0% | 90.6% | 103.6 | FUN | |
_Since Last GM Reset | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 25 | 23 | 2 | 8 | 0.571 | 25 | 45 | 70 | 1 | 0 | 9 | 6 | 9 | 1 | 192 | 56 | 71 | 62 | 3 | 244 | 76 | 44 | 149 | 27 | 6 | 22.22% | 21 | 2 | 90.48% | 1 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 47.5% | 13.0% | 90.6% | 103.6 | FUN | |
Total | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 25 | 23 | 2 | 8 | 0.571 | 25 | 45 | 70 | 1 | 0 | 9 | 6 | 9 | 1 | 192 | 56 | 71 | 62 | 3 | 244 | 76 | 44 | 149 | 27 | 6 | 22.22% | 21 | 2 | 90.48% | 1 | 104 | 235 | 44.26% | 126 | 272 | 46.32% | 43 | 112 | 38.39% | 158 | 102 | 163 | 55 | 98 | 48 | 47.5% | 13.0% | 90.6% | 103.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 235 |
Neutral Zone Start | 112 |
Defensive Zone Start | 272 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 273 |
Faceoffs Lost | 346 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 18.1 | 20.31 |
3rd Period | 27.0 | 30.68 |
Overtime | 27.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 17 |
---|---|
PP Goal | 6 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 0 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 27 |
---|---|
PP Goal | 6 |
PK Attempt | 21 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 27.4 |
Shots Against | 34.9 |
Goals For | 3.6 |
Goals Against | 3.3 |
Hits | 21.3 |
Shots Blocked | 10.9 |
Pim | 6.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,303,834$ | 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 |
34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,303,834$ | 2,303,834$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
238,563$ | 12,799$ | 166,343$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 179 | 18,355$ | 3,065,285$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,065,285$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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