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Full Scoreboard »» |
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Full Scoreboard »» |
San Diego Gulls 2-0-0, 4pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn | 0 | C/LW | 100.00 | 83 | 33 | 89 | 64 | 80 | 79 | 90 | 67 | 60 | 68 | 66 | 93 | 66 | 69 | 68 | 0 | 90 | 82 | 26 | 775,000$/1yrs | |||
Alex Belzile | 22 | C/LW/RW | 100.00 | 66 | 41 | 85 | 68 | 76 | 75 | 72 | 70 | 77 | 73 | 72 | 72 | 71 | 80 | 78 | 0 | 90 | 81 | 32 | 1,250,000$/1yrs | |||
Jimmy Vesey | 16 | LW/RW | 98.00 | 69 | 40 | 90 | 69 | 82 | 77 | 90 | 67 | 58 | 68 | 70 | 79 | 69 | 77 | 76 | 0 | 91 | 81 | 30 | 925,000$/2yrs | |||
Thomas Bordeleau | 0 | C | 100.00 | 62 | 32 | 81 | 76 | 67 | 80 | 71 | 74 | 77 | 68 | 80 | 67 | 77 | 62 | 60 | 0 | 94 | 81 | 22 | 916,667$/1yrs | |||
Elmer Soderblom (R) | 0 | C/RW | 100.00 | 68 | 35 | 86 | 69 | 99 | 75 | 70 | 71 | 58 | 67 | 75 | 65 | 73 | 62 | 61 | 0 | 94 | 79 | 22 | 878,333$/2yrs | |||
Chris Tierney | 71 | C/LW | 100.00 | 60 | 33 | 94 | 63 | 76 | 72 | 76 | 62 | 77 | 67 | 62 | 71 | 62 | 75 | 74 | 0 | 94 | 76 | 29 | 1,250,000$/2yrs | |||
Liam O'Brien | 11 | LW | 100.00 | 90 | 67 | 50 | 59 | 83 | 73 | 85 | 63 | 59 | 67 | 62 | 70 | 63 | 74 | 69 | 0 | 94 | 76 | 29 | 800,000$/1yrs | |||
Scott Sabourin | 0 | RW | 100.00 | 99 | 49 | 50 | 55 | 84 | 69 | 84 | 68 | 42 | 58 | 59 | 72 | 59 | 77 | 72 | 0 | 93 | 76 | 31 | 775,000$/2yrs | |||
Justin Dowling | 36 | C/LW/RW | 100.00 | 62 | 38 | 88 | 56 | 69 | 71 | 84 | 70 | 81 | 66 | 56 | 74 | 61 | 81 | 79 | 0 | 91 | 75 | 33 | 775,000$/2yrs | |||
Byron Froese (C) | 23 | C/RW | 100.00 | 68 | 39 | 79 | 54 | 79 | 69 | 84 | 69 | 75 | 60 | 57 | 72 | 58 | 79 | 77 | 0 | 94 | 74 | 33 | 800,000$/1yrs | |||
Gabriel Bourque | 0 | LW/RW | 100.00 | 62 | 39 | 87 | 53 | 76 | 69 | 84 | 70 | 42 | 58 | 56 | 74 | 57 | 80 | 79 | 0 | 94 | 74 | 33 | 775,000$/2yrs | |||
Brad Malone | 17 | C | 100.00 | 73 | 40 | 73 | 53 | 85 | 69 | 78 | 68 | 70 | 59 | 53 | 75 | 56 | 82 | 80 | 0 | 91 | 74 | 34 | 775,000$/1yrs | |||
Ben Hutton | 0 | D | 100.00 | 58 | 40 | 84 | 62 | 81 | 83 | 79 | 65 | 30 | 71 | 62 | 70 | 63 | 77 | 76 | 0 | 73 | 78 | 31 | 950,000$/2yrs | |||
Haydn Fleury | 0 | D | 100.00 | 72 | 33 | 66 | 59 | 85 | 82 | 73 | 64 | 30 | 68 | 62 | 74 | 63 | 71 | 68 | 0 | 94 | 78 | 27 | 775,000$/2yrs | |||
Chad Ruhwedel | 2 | D | 99.00 | 77 | 32 | 89 | 55 | 73 | 78 | 80 | 63 | 30 | 62 | 56 | 77 | 59 | 82 | 81 | 0 | 86 | 77 | 33 | 800,000$/1yrs | |||
Spencer Stastney | 0 | D | 100.00 | 55 | 32 | 87 | 60 | 72 | 83 | 69 | 63 | 30 | 65 | 63 | 77 | 63 | 65 | 64 | 0 | 70 | 76 | 24 | 925,000$/1yrs | |||
Nicolas Beaudin | 92 | D | 100.00 | 73 | 39 | 70 | 59 | 66 | 67 | 79 | 55 | 30 | 66 | 51 | 66 | 58 | 65 | 62 | 0 | 92 | 73 | 24 | 850,000$/2yrs | |||
Uvis Balinskis | 0 | D | 100.00 | 69 | 33 | 88 | 58 | 76 | 78 | 69 | 56 | 30 | 61 | 62 | 64 | 59 | 71 | 69 | 0 | 90 | 73 | 27 | 870,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Drew O'Connor | 0 | LW | 100.00 | 68 | 33 | 91 | 64 | 81 | 75 | 82 | 64 | 60 | 68 | 66 | 70 | 65 | 68 | 67 | 0 | 22 | 77 | 25 | ||||
Akil Thomas (R) | 0 | C | 100.00 | 66 | 39 | 81 | 59 | 71 | 66 | 75 | 61 | 73 | 57 | 60 | 64 | 59 | 63 | 61 | 0 | 23 | 71 | 23 | 775,000$/1yrs | |||
Max Sasson | 0 | C | 100.00 | 66 | 39 | 81 | 59 | 72 | 67 | 72 | 61 | 70 | 57 | 62 | 64 | 59 | 63 | 61 | 0 | 23 | 71 | 23 | 870,000$/2yrs | |||
Nikita Chibrikov (R) | 0 | LW | 100.00 | 77 | 40 | 63 | 64 | 66 | 69 | 71 | 60 | 44 | 64 | 63 | 60 | 63 | 58 | 54 | 0 | 23 | 71 | 21 | ||||
Antonio Stranges (R) | 0 | C/LW | 100.00 | 58 | 37 | 94 | 60 | 69 | 66 | 76 | 59 | 62 | 60 | 58 | 62 | 59 | 59 | 59 | 0 | 22 | 70 | 22 | 846,667$/2yrs | |||
Waltteri Merela | 0 | RW | 100.00 | 68 | 36 | 87 | 56 | 81 | 70 | 68 | 57 | 34 | 56 | 52 | 67 | 55 | 67 | 65 | 0 | 23 | 70 | 25 | 870,000$/1yrs | |||
Ty Glover | 0 | C | 100.00 | 62 | 39 | 88 | 54 | 81 | 63 | 80 | 61 | 72 | 52 | 54 | 65 | 53 | 63 | 61 | 0 | 23 | 68 | 23 | 859,167$/1yrs | |||
Ryder Rolston (R) | 0 | C | 100.00 | 55 | 38 | 99 | 56 | 76 | 64 | 71 | 60 | 68 | 51 | 59 | 63 | 55 | 61 | 61 | 0 | 23 | 68 | 22 | ||||
Jaxsen Wiebe | 0 | C | 100.00 | 59 | 39 | 92 | 53 | 82 | 61 | 68 | 60 | 67 | 53 | 50 | 63 | 51 | 59 | 58 | 0 | 23 | 67 | 21 | 852,500$/3yrs | |||
Antti Saarela (R) | 0 | C | 100.00 | 61 | 38 | 89 | 53 | 71 | 62 | 68 | 60 | 70 | 50 | 55 | 64 | 53 | 61 | 60 | 0 | 23 | 67 | 22 | ||||
Eetu Liukas (R) | 0 | LW | 100.00 | 73 | 41 | 69 | 52 | 79 | 60 | 70 | 60 | 35 | 50 | 52 | 63 | 51 | 59 | 56 | 0 | 23 | 67 | 21 | ||||
Patrik Koch | 0 | D | 100.00 | 87 | 42 | 50 | 50 | 75 | 65 | 70 | 49 | 30 | 56 | 52 | 69 | 54 | 70 | 65 | 0 | 29 | 70 | 27 | 847,500$/1yrs | |||
Ole Bjorgvik-Holm (R) | 0 | D | 100.00 | 62 | 39 | 91 | 56 | 79 | 62 | 60 | 53 | 30 | 58 | 50 | 61 | 54 | 59 | 60 | 0 | 23 | 68 | 21 | 825,000$/2yrs | |||
John Parker-Jones | 0 | RWD | 100.00 | 86 | 44 | 50 | 48 | 96 | 62 | 71 | 47 | 30 | 51 | 53 | 65 | 52 | 63 | 58 | 0 | 23 | 67 | 24 | 775,000$/1yrs | |||
Cole Krygier | 0 | D | 100.00 | 64 | 39 | 85 | 50 | 78 | 63 | 73 | 49 | 30 | 55 | 52 | 65 | 54 | 63 | 61 | 0 | 23 | 67 | 25 | 837,500$/2yrs | |||
Donovan Sebrango (R) | 0 | D | 100.00 | 67 | 39 | 79 | 48 | 77 | 62 | 76 | 47 | 30 | 52 | 53 | 63 | 53 | 59 | 57 | 0 | 23 | 65 | 22 | 850,000$/1yrs | |||
David Spacek (R) | 0 | D | 100.00 | 57 | 37 | 95 | 48 | 69 | 61 | 69 | 48 | 30 | 53 | 52 | 62 | 53 | 57 | 57 | 0 | 23 | 65 | 21 | ||||
Leo Loof (R) | 0 | D | 100.00 | 66 | 39 | 81 | 47 | 72 | 61 | 71 | 47 | 30 | 53 | 50 | 63 | 51 | 59 | 57 | 0 | 23 | 65 | 22 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 96.00 | 93 | 82 | 75 | 74 | 92 | 79 | 91 | 91 | 86 | 90 | 91 | 76 | 81 | 0 | 91 | 89 | 30 | 1,200,000$/2yrs |
Matt Villalta | 0 | 100.00 | 75 | 80 | 72 | 78 | 75 | 76 | 76 | 75 | 76 | 75 | 76 | 66 | 67 | 0 | 93 | 79 | 24 | 800,000$/2yrs |
Scratches | ||||||||||||||||||||
Mitchell Gibson | 0 | 100.00 | 73 | 76 | 70 | 70 | 78 | 74 | 74 | 73 | 74 | 74 | 74 | 64 | 66 | 0 | 24 | 77 | 24 | 867,500$/1yrs |
Jakub Dobes | 0 | 100.00 | 71 | 71 | 68 | 82 | 62 | 73 | 71 | 71 | 73 | 73 | 72 | 62 | 62 | 0 | 24 | 75 | 22 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joe Sacco | 66 | 73 | 65 | 64 | 79 | 74 | 70 | USA | 54 | 5 | 500,000$ |
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 | Alex Belzile | Gulls (ANA) | C/LW/RW | 2 | 1 | 4 | 5 | 4 | 2 | 0 | 1 | 7 | 0 | 1 | 14.29% | 0 | 20.16 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 60.38% | 53 | 0 | 0 | 0 | 0 | 2.48 | 0 | 0 | |
2 | Jimmy Vesey | Gulls (ANA) | LW/RW | 2 | 3 | 2 | 5 | 4 | 0 | 0 | 2 | 6 | 2 | 4 | 50.00% | 1 | 20.91 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 2.39 | 0 | 0 | |
3 | Thomas Bordeleau | Gulls (ANA) | C | 2 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 12 | 1 | 8 | 16.67% | 1 | 17.07 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 64.15% | 53 | 0 | 0 | 0 | 0 | 1.76 | 0 | 0 | |
4 | Elmer Soderblom | Gulls (ANA) | C/RW | 2 | 1 | 2 | 3 | 4 | 0 | 0 | 6 | 4 | 1 | 2 | 25.00% | 0 | 19.58 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.53 | 0 | 0 | |
5 | Gabriel Bourque | Gulls (ANA) | LW/RW | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 6 | 6 | 3 | 3 | 0.00% | 0 | 18.23 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | |
6 | Justin Dowling | Gulls (ANA) | C/LW/RW | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 9 | 2 | 5 | 0.00% | 0 | 17.39 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | |
7 | Ben Hutton | Gulls (ANA) | D | 2 | 1 | 0 | 1 | 5 | 0 | 0 | 2 | 3 | 1 | 0 | 33.33% | 3 | 20.79 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
8 | Byron Froese | Gulls (ANA) | C/RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 3 | 3 | 3 | 0.00% | 0 | 6.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 1.54 | 0 | 0 | |
9 | Brad Malone | Gulls (ANA) | C | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 1 | 20.00% | 0 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 72.22% | 18 | 0 | 0 | 0 | 0 | 1.41 | 0 | 0 | |
10 | Nicolas Beaudin | Gulls (ANA) | D | 2 | 0 | 1 | 1 | 5 | 0 | 0 | 5 | 1 | 0 | 0 | 0.00% | 1 | 20.38 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
11 | Spencer Stastney | Gulls (ANA) | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 2 | 0.00% | 1 | 22.50 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
12 | Chris Tierney | Gulls (ANA) | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 3 | 3 | 0.00% | 0 | 13.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.46% | 37 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Beck Malenstyn | Gulls (ANA) | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 7 | 2 | 4 | 0.00% | 0 | 15.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Chad Ruhwedel | Gulls (ANA) | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 3 | 1 | 0 | 0.00% | 2 | 22.34 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Haydn Fleury | Gulls (ANA) | D | 2 | 0 | 0 | 0 | -1 | 4 | 0 | 4 | 0 | 0 | 1 | 0.00% | 1 | 16.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Liam O'Brien | Gulls (ANA) | LW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 0 | 2 | 0.00% | 0 | 6.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Scott Sabourin | Gulls (ANA) | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 2 | 0 | 0 | 0.00% | 0 | 13.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Uvis Balinskis | Gulls (ANA) | D | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 0 | 1 | 0 | 0.00% | 1 | 17.16 | 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 | 36 | 9 | 16 | 25 | 20 | 10 | 0 | 48 | 76 | 20 | 39 | 11.84% | 11 | 16.43 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 25 | 2 | 1 | 62.36% | 178 | 0 | 0 | 0 | 0 | 0.85 | 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 | Charlie Lindgren | Gulls (ANA) | 2 | 2 | 0 | 0 | 0.898 | 2.50 | 120 | 0 | 0 | 5 | 49 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Team Total or Average | 2 | 2 | 0 | 0 | 0.898 | 2.50 | 120 | 0 | 0 | 5 | 49 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Akil Thomas | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Alex Belzile | C/LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Antonio Stranges | C/LW | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Antti Saarela | C | 22 | 0$ | RFA | |||||||
Beck Malenstyn | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Ben Hutton | D | 31 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Brad Malone | C | 34 | 775,000$ | 775,000$ | UFA | ||||||
Byron Froese | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Chad Ruhwedel | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Charlie Lindgren | G | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Chris Tierney | C/LW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Cole Krygier | D | 25 | 837,500$ | 837,500$ | 837,500$ | RFA | |||||
David Spacek | D | 21 | 0$ | RFA | |||||||
Donovan Sebrango | D | 22 | 850,000$ | 850,000$ | RFA | ||||||
Drew O'Connor | LW | 25 | 0$ | RFA | |||||||
Eetu Liukas | LW | 21 | 0$ | RFA | |||||||
Elmer Soderblom | C/RW | 22 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Gabriel Bourque | LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Haydn Fleury | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakub Dobes | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Jaxsen Wiebe | C | 21 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Jimmy Vesey | LW/RW | 30 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
John Parker-Jones | RW/D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Justin Dowling | C/LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Leo Loof | D | 22 | 0$ | RFA | |||||||
Liam O'Brien | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Matt Villalta | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Max Sasson | C | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Mitchell Gibson | G | 24 | 867,500$ | 867,500$ | RFA | ||||||
Nicolas Beaudin | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Nikita Chibrikov | LW | 21 | 0$ | RFA | |||||||
Ole Bjorgvik-Holm | D | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Patrik Koch | D | 27 | 847,500$ | 847,500$ | UFA | ||||||
Ryder Rolston | C | 22 | 0$ | RFA | |||||||
Scott Sabourin | RW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Spencer Stastney | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Thomas Bordeleau | C | 22 | 916,667$ | 916,667$ | RFA | ||||||
Ty Glover | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Uvis Balinskis | D | 27 | 870,000$ | 870,000$ | UFA | ||||||
Waltteri Merela | RW | 25 | 870,000$ | 870,000$ | 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 | Barracuda | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 0 | 76 | 33 | 17 | 26 | 0 | 49 | 11 | 10 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 51 | 84 | 60.71% | 40 | 64 | 62.50% | 20 | 30 | 66.67% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 11.8% | 89.8% | 101.6 | FUN |
_Vs Division | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 0 | 76 | 33 | 17 | 26 | 0 | 49 | 11 | 10 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 51 | 84 | 60.71% | 40 | 64 | 62.50% | 20 | 30 | 66.67% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 11.8% | 89.8% | 101.6 | FUN | |
_Vs Conference | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 0 | 76 | 33 | 17 | 26 | 0 | 49 | 11 | 10 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 51 | 84 | 60.71% | 40 | 64 | 62.50% | 20 | 30 | 66.67% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 11.8% | 89.8% | 101.6 | FUN | |
_Since Last GM Reset | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 0 | 76 | 33 | 17 | 26 | 0 | 49 | 11 | 10 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 51 | 84 | 60.71% | 40 | 64 | 62.50% | 20 | 30 | 66.67% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 11.8% | 89.8% | 101.6 | FUN | |
Total | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 0 | 76 | 33 | 17 | 26 | 0 | 49 | 11 | 10 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 51 | 84 | 60.71% | 40 | 64 | 62.50% | 20 | 30 | 66.67% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 11.8% | 89.8% | 101.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 12 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 84 |
Neutral Zone Start | 30 |
Defensive Zone Start | 64 |
Puck Time | |
---|---|
With Puck | 33 |
Without Puck | 26 |
Faceoffs | |
---|---|
Faceoffs Won | 111 |
Faceoffs Lost | 67 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 16.5 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 38.0 | 30.68 |
Overtime | 38.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 4.0 | 1.65 |
3rd Period | 4.5 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
---|---|
PP Goal | 1 |
PK Attempt | 4 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 38.0 |
Shots Against | 24.5 |
Goals For | 4.5 |
Goals Against | 2.5 |
Hits | 24.0 |
Shots Blocked | 5.5 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-04-23 | Barracuda | @ | Gulls | Barracuda3,Gulls4 | RECAP | |||||||||
2024-04-25 | Barracuda | @ | Gulls | Barracuda2,Gulls5 | RECAP | |||||||||
2024-04-27 | Gulls | @ | Barracuda | |||||||||||
2024-04-29 | Gulls | @ | Barracuda | |||||||||||
2024-05-01 | Barracuda | @ | Gulls | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-05-03 | Gulls | @ | Barracuda | |||||||||||
2024-05-05 | Barracuda | @ | Gulls |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,871,584$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | San Diego | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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 |
2,871,584$ | 2,871,584$ | 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$ | 9 | 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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