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Full Scoreboard »» |
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Full Scoreboard »» |
San Jose Barracuda 0-1-0, 0pts · 7th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 68 | 31 | 91 | 66 | 61 | 80 | 86 | 64 | 59 | 68 | 66 | 56 | 65 | 64 | 63 | 0 | 38 | 75 | 23 | 1,500,000$/2yrs | |||
![]() | 0 | C | 99.00 | 83 | 33 | 85 | 64 | 76 | 73 | 70 | 62 | 84 | 59 | 69 | 56 | 66 | 62 | 60 | 0 | 77 | 73 | 22 | 836,667$/1yrs | |||
![]() | 0 | LW | 98.00 | 66 | 41 | 81 | 57 | 93 | 68 | 73 | 65 | 49 | 57 | 61 | 68 | 59 | 70 | 68 | 0 | 59 | 72 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 99.00 | 60 | 32 | 92 | 63 | 68 | 78 | 75 | 61 | 75 | 68 | 60 | 56 | 61 | 60 | 59 | 0 | 56 | 72 | 21 | 870,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 96 | 58 | 74 | 75 | 69 | 61 | 60 | 66 | 59 | 52 | 60 | 64 | 63 | 0 | 69 | 71 | 23 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 62 | 39 | 88 | 55 | 80 | 66 | 69 | 64 | 42 | 54 | 59 | 67 | 56 | 68 | 67 | 0 | 55 | 70 | 25 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 38 | 88 | 61 | 67 | 67 | 68 | 59 | 36 | 59 | 62 | 62 | 60 | 59 | 58 | 0 | 74 | 70 | 21 | 918,333$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 40 | 80 | 60 | 84 | 66 | 68 | 59 | 47 | 59 | 58 | 62 | 59 | 59 | 57 | 0 | 59 | 69 | 21 | 950,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 40 | 74 | 60 | 77 | 66 | 68 | 59 | 40 | 60 | 57 | 62 | 59 | 59 | 57 | 0 | 75 | 69 | 21 | 885,000$/2yrs | |||
![]() | 19 | C/RW | 100.00 | 69 | 39 | 77 | 53 | 73 | 64 | 85 | 63 | 74 | 56 | 52 | 66 | 54 | 66 | 64 | 0 | 74 | 68 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 85 | 54 | 72 | 61 | 66 | 60 | 42 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 50 | 66 | 21 | 931,667$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 86 | 52 | 73 | 61 | 82 | 61 | 70 | 51 | 50 | 64 | 51 | 61 | 59 | 0 | 70 | 65 | 23 | 897,500$/1yrs | |||
![]() | 0 | D | 99.00 | 77 | 49 | 68 | 61 | 81 | 79 | 67 | 56 | 30 | 66 | 50 | 54 | 53 | 65 | 61 | 0 | 62 | 72 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 84 | 40 | 64 | 63 | 68 | 69 | 60 | 59 | 60 | 57 | 51 | 65 | 62 | 59 | 61 | 0 | 27 | 71 | 24 | 900,000$/1yrs | |||
![]() | 0 | D | 99.00 | 80 | 43 | 70 | 60 | 99 | 69 | 60 | 57 | 30 | 55 | 52 | 64 | 62 | 59 | 56 | 0 | 51 | 70 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 91 | 57 | 85 | 86 | 69 | 51 | 30 | 61 | 59 | 56 | 55 | 61 | 61 | 0 | 63 | 70 | 22 | 855,833$/2yrs | |||
![]() | 0 | D | 99.00 | 80 | 32 | 80 | 55 | 75 | 84 | 74 | 52 | 30 | 54 | 53 | 65 | 53 | 65 | 63 | 0 | 28 | 69 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 38 | 91 | 60 | 74 | 67 | 60 | 56 | 30 | 54 | 50 | 62 | 60 | 56 | 55 | 0 | 62 | 67 | 22 | 849,167$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 15 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 66 | 72 | 60 | 67 | 59 | 56 | 65 | 57 | 63 | 61 | 0 | 23 | 69 | 24 | ||||
![]() | 0 | C | 100.00 | 63 | 38 | 87 | 58 | 71 | 65 | 67 | 60 | 66 | 60 | 56 | 63 | 58 | 61 | 60 | 0 | 44 | 69 | 22 | ||||
![]() | 0 | C | 100.00 | 59 | 38 | 92 | 58 | 69 | 65 | 69 | 60 | 64 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 64 | 68 | 21 | 838,333$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 38 | 94 | 53 | 77 | 63 | 67 | 63 | 48 | 52 | 55 | 67 | 53 | 66 | 66 | 0 | 44 | 68 | 24 | ||||
![]() | 0 | C/LW/RW | 100.00 | 57 | 37 | 96 | 57 | 70 | 63 | 66 | 58 | 35 | 57 | 54 | 61 | 56 | 57 | 57 | 0 | 44 | 67 | 19 | ||||
![]() | 0 | RW | 100.00 | 61 | 39 | 89 | 54 | 83 | 62 | 67 | 60 | 49 | 52 | 54 | 63 | 53 | 59 | 58 | 0 | 23 | 66 | 21 | 865,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 38 | 92 | 53 | 76 | 64 | 66 | 51 | 30 | 59 | 52 | 63 | 55 | 59 | 58 | 0 | 44 | 68 | 20 | ||||
![]() | 0 | D | 100.00 | 60 | 37 | 91 | 51 | 65 | 64 | 67 | 50 | 30 | 56 | 54 | 64 | 55 | 61 | 60 | 0 | 46 | 67 | 21 | 870,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 82 | 51 | 92 | 64 | 67 | 50 | 30 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 58 | 67 | 22 | 867,500$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 38 | 90 | 49 | 72 | 63 | 65 | 48 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 23 | 66 | 22 | 857,500$/2yrs | |||
![]() | 55 | D | 100.00 | 90 | 45 | 50 | 44 | 93 | 60 | 79 | 43 | 30 | 49 | 46 | 69 | 47 | 69 | 64 | 0 | 36 | 64 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 40 | 80 | 45 | 81 | 60 | 81 | 44 | 30 | 50 | 47 | 67 | 49 | 66 | 64 | 0 | 24 | 63 | 26 |
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 | 100.00 | 60 | 65 | 67 | 75 | 69 | 77 | 73 | 73 | 84 | 74 | 73 | 64 | 67 | 0 | 82 | 76 | 23 | 886,667$/2yrs |
![]() | 0 | 97.00 | 60 | 63 | 66 | 83 | 61 | 67 | 64 | 76 | 67 | 73 | 64 | 80 | 83 | 0 | 37 | 73 | 33 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 74 | 80 | 69 | 88 | 57 | 72 | 73 | 74 | 72 | 73 | 73 | 58 | 60 | 0 | 25 | 76 | 22 | 850,833$/1yrs |
![]() | 68 | 100.00 | 70 | 58 | 68 | 85 | 62 | 75 | 71 | 70 | 75 | 74 | 72 | 67 | 66 | 0 | 35 | 75 | 24 | 900,000$/2yrs |
![]() | 0 | 100.00 | 68 | 58 | 67 | 84 | 68 | 74 | 70 | 68 | 74 | 72 | 71 | 67 | 71 | 0 | 24 | 74 | 27 | 775,000$/1yrs |
![]() | 0 | 100.00 | 60 | 64 | 65 | 81 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 61 | 65 | 0 | 24 | 67 | 24 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Larsen | 66 | 62 | 78 | 85 | 64 | 60 | 67 | CAN | 45 | 2 | 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 | Brett Murray | LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 3 | 8 | 0.00% | 1 | 21.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
2 | Clay Hanus | D | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 5 | 1 | 0 | 2 | 0.00% | 1 | 22.32 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | ||
3 | Brendan Brisson | C/LW/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 50.00% | 1 | 15.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.30 | 0 | 0 | ||
4 | Justin Richards | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 12.73 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
5 | Tim Berni | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 0 | 0 | 0.00% | 2 | 21.57 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Nick Cicek | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 23.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Ilya Usov | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Bobby Brink | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 4 | 0 | 4 | 0.00% | 0 | 17.25 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Robert Calisti | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 3 | 0.00% | 3 | 21.23 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Marc-Andre Gaudet | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 0.00% | 3 | 16.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Aidan McDonough | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0.00% | 0 | 18.95 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Filip Bystedt | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 8.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Aatu Raty | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0.00% | 0 | 18.78 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 35.71% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Ethan Del Mastro | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 14.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Matthew Poitras | C | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 3 | 0.00% | 0 | 22.27 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 43.75% | 32 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Noah ostlund | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 10.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Owen Beck | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 1 | 10.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Paul Ludwinski | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 8.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 1 | 2 | 3 | 5 | 10 | 0 | 24 | 25 | 8 | 29 | 4.00% | 13 | 16.30 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 26 | 0 | 0 | 34.48% | 87 | 0 | 0 | 0 | 0 | 0.20 | 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 | Pheonix Copley | 1 | 0 | 1 | 0 | 0.944 | 2.03 | 59 | 0 | 0 | 2 | 36 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 0 | 0.944 | 2.03 | 59 | 0 | 0 | 2 | 36 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 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 | 836,667$ | 836,667$ | RFA | ||||||
Aidan McDonough | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Amadeus Lombardi | C | 21 | 838,333$ | 838,333$ | 838,333$ | RFA | |||||
Bobby Brink | RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Brendan Brisson | C/LW/RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Brett Murray | LW | 26 | 775,000$ | 775,000$ | |||||||
Christian Kyrou | D | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Clay Hanus | D | 24 | 900,000$ | 900,000$ | |||||||
Daniil Chechelev | G | 24 | 775,000$ | 775,000$ | |||||||
Ethan Del Mastro | D | 22 | 855,833$ | 855,833$ | 855,833$ | RFA | |||||
Evan Cormier | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Filip Bystedt | C | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Filip Hallander | C | 24 | 0$ | ||||||||
Gavin White | D | 22 | 857,500$ | 857,500$ | 857,500$ | RFA | |||||
Hunter Brzustewicz | D | 20 | 0$ | RFA | |||||||
Ilya Usov | C | 23 | 897,500$ | 897,500$ | RFA | ||||||
Jack Malone | C/LW/RW | 24 | 0$ | ||||||||
Jacob Ingham | G | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Joel Blomqvist | G | 23 | 886,667$ | 886,667$ | 886,667$ | ||||||
Justin Richards | C/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Marc-Andre Gaudet | D | 22 | 849,167$ | 849,167$ | RFA | ||||||
Matthew Poitras | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Nathan Clurman | D | 26 | 0$ | ||||||||
Nick Cicek | D | 24 | 775,000$ | 775,000$ | |||||||
Nick Wolff | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Noah ostlund | C | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Oskar Pettersson | RW | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Otto Stenberg | C/LW/RW | 19 | 0$ | RFA | |||||||
Owen Beck | C | 21 | 885,000$ | 885,000$ | 885,000$ | RFA | |||||
Paul Ludwinski | C | 21 | 931,667$ | 931,667$ | 931,667$ | RFA | |||||
Pheonix Copley | G | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Robert Calisti | D | 24 | 775,000$ | 775,000$ | |||||||
Talyn Boyko | G | 22 | 850,833$ | 850,833$ | RFA | ||||||
Tim Berni | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
Ty Mueller | C | 22 | 0$ | RFA | |||||||
Ville Ottavainen | D | 22 | 867,500$ | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 13 | 10 | 24 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 12 | 35 | 34.29% | 13 | 40 | 32.50% | 5 | 12 | 41.67% | 21 | 14 | 25 | 8 | 12 | 6 | 100.0% | 4.0% | 94.4% | 98.4 | DULL | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 13 | 10 | 24 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 12 | 35 | 34.29% | 13 | 40 | 32.50% | 5 | 12 | 41.67% | 21 | 14 | 25 | 8 | 12 | 6 | 100.0% | 4.0% | 94.4% | 98.4 | DULL | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 13 | 10 | 24 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 12 | 35 | 34.29% | 13 | 40 | 32.50% | 5 | 12 | 41.67% | 21 | 14 | 25 | 8 | 12 | 6 | 100.0% | 4.0% | 94.4% | 98.4 | DULL | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 13 | 10 | 24 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 12 | 35 | 34.29% | 13 | 40 | 32.50% | 5 | 12 | 41.67% | 21 | 14 | 25 | 8 | 12 | 6 | 100.0% | 4.0% | 94.4% | 98.4 | DULL |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
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Offensive Zone Start | 35 |
Neutral Zone Start | 12 |
Defensive Zone Start | 40 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 30 |
Faceoffs Lost | 57 |
Team Average Shots after | League Average Shots after | |
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1st Period | 7.0 | 9.57 |
2nd Period | 13.0 | 20.31 |
3rd Period | 25.0 | 30.68 |
Overtime | 25.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 0 |
PK Attempt | 5 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 25.0 |
Shots Against | 36.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 24.0 |
Shots Blocked | 13.0 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Barracuda1,Stars2 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,550,500$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,550,500$ | 2,550,500$ | 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$ | 12 | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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