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Full Scoreboard »» |
![]() | San Diego Gulls 4-6-4, 12pts · 14th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cam Atkinson | 0 | LW/RW | 100.00 | 61 | 48 | 81 | 75 | 67 | 79 | 86 | 73 | 43 | 68 | 67 | 65 | 72 | 88 | 78 | 1 | 50 | 69 | 37 | 3,500,000$/1yrs | |||
Elmer Soderblom | 0 | LW/RW | 100.00 | 76 | 49 | 82 | 67 | 95 | 80 | 75 | 71 | 45 | 66 | 66 | 66 | 68 | 62 | 53 | 1 | 50 | 68 | 24 | 2,300,000$/4yrs | |||
Denver Barkey (R) | 0 | C/LW | 100.00 | 68 | 40 | 82 | 77 | 72 | 81 | 68 | 69 | 49 | 70 | 65 | 65 | 70 | 54 | 50 | 1 | 50 | 67 | 21 | 1,500,000$/4yrs | |||
Stephen Halliday | 0 | C/LW | 100.00 | 65 | 41 | 76 | 67 | 82 | 72 | 64 | 67 | 54 | 65 | 62 | 60 | 66 | 53 | 50 | 1 | 50 | 63 | 23 | 975,000$/1yrs | |||
Bradly Nadeau | 0 | LW/RW | 100.00 | 59 | 42 | 69 | 72 | 59 | 61 | 59 | 66 | 45 | 64 | 64 | 61 | 68 | 50 | 50 | 1 | 50 | 62 | 21 | 918,333$/1yrs | |||
Amadeus Lombardi | 0 | C | 100.00 | 59 | 42 | 72 | 70 | 61 | 64 | 62 | 64 | 62 | 63 | 59 | 60 | 64 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
Atley Calvert | 0 | C | 100.00 | 64 | 42 | 70 | 68 | 64 | 63 | 61 | 62 | 59 | 58 | 57 | 62 | 62 | 50 | 50 | 1 | 50 | 60 | 22 | 1,000,000$/1yrs | |||
Xavier Parent | 0 | C/LW/RW | 100.00 | 54 | 50 | 60 | 70 | 55 | 67 | 65 | 65 | 44 | 61 | 60 | 55 | 65 | 53 | 50 | 1 | 50 | 60 | 25 | 1,500,000$/2yrs | |||
Aiden Fink (R) | 0 | RW | 100.00 | 60 | 40 | 68 | 66 | 60 | 60 | 60 | 60 | 41 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/3yrs | |||
Carey Terrance (R) | 0 | C | 100.00 | 60 | 43 | 65 | 64 | 63 | 62 | 61 | 60 | 42 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/3yrs | |||
Wyatt Bongiovanni | 0 | C | 100.00 | 56 | 43 | 69 | 65 | 63 | 67 | 65 | 63 | 59 | 58 | 59 | 53 | 63 | 54 | 50 | 1 | 50 | 59 | 26 | 1,500,000$/2yrs | |||
Alex Kannok Leipert | 0 | D | 100.00 | 62 | 49 | 62 | 66 | 64 | 66 | 64 | 61 | 40 | 56 | 53 | 65 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 1,000,000$/1yrs | |||
Bryan Yoon | 0 | D | 100.00 | 56 | 41 | 72 | 68 | 59 | 68 | 65 | 57 | 40 | 51 | 52 | 64 | 59 | 57 | 50 | 1 | 50 | 60 | 28 | 1,000,000$/1yrs | |||
Colin Felix | 0 | D | 100.00 | 59 | 47 | 60 | 64 | 64 | 66 | 63 | 56 | 40 | 51 | 51 | 62 | 57 | 55 | 50 | 1 | 50 | 59 | 27 | 1,000,000$/1yrs | |||
Riley Stillman | 0 | D | 100.00 | 57 | 49 | 59 | 64 | 63 | 68 | 66 | 60 | 40 | 57 | 53 | 61 | 59 | 57 | 50 | 1 | 50 | 59 | 28 | 3,000,000$/2yrs | |||
Guillaume Brisebois | 0 | D | 100.00 | 56 | 40 | 71 | 66 | 60 | 66 | 63 | 55 | 40 | 51 | 52 | 63 | 58 | 57 | 50 | 1 | 50 | 59 | 28 | 1,200,000$/1yrs | |||
Charlie Wright | 0 | D | 100.00 | 59 | 40 | 72 | 65 | 63 | 61 | 59 | 55 | 40 | 51 | 51 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/1yrs | |||
Andrew Perrott | 0 | D | 100.00 | 61 | 54 | 56 | 64 | 66 | 63 | 61 | 56 | 40 | 51 | 52 | 62 | 58 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Zach Solow | 0 | RW | 100.00 | 53 | 44 | 58 | 59 | 55 | 61 | 59 | 56 | 41 | 53 | 52 | 54 | 55 | 54 | 50 | 1 | 50 | 55 | 27 | 1,500,000$/2yrs | |||
Anders Bjork | 0 | LW | 100.00 | 54 | 40 | 66 | 57 | 57 | 60 | 58 | 53 | 41 | 52 | 51 | 54 | 53 | 58 | 50 | 1 | 50 | 54 | 29 | 1,000,000$/1yrs | |||
Blake Biondi | 0 | C | 100.00 | 59 | 41 | 70 | 60 | 63 | 61 | 58 | 54 | 51 | 50 | 51 | 52 | 55 | 52 | 50 | 1 | 50 | 54 | 24 | 1,000,000$/4yrs | |||
Matteo Costantini (R) | 0 | C | 100.00 | 52 | 40 | 68 | 61 | 55 | 58 | 55 | 54 | 51 | 51 | 52 | 50 | 55 | 51 | 50 | 1 | 50 | 53 | 23 | 1,000,000$/4yrs | |||
Brett Davis | 0 | LW | 100.00 | 54 | 40 | 64 | 53 | 59 | 58 | 55 | 52 | 40 | 50 | 51 | 51 | 52 | 54 | 50 | 1 | 50 | 52 | 27 | 1,000,000$/1yrs | |||
Cade Borchardt | 0 | C/LW/RW | 100.00 | 51 | 40 | 63 | 56 | 53 | 56 | 54 | 50 | 40 | 50 | 50 | 51 | 52 | 54 | 50 | 1 | 50 | 52 | 27 | 1,000,000$/1yrs | |||
Christian Felton | 0 | D | 100.00 | 57 | 40 | 69 | 64 | 62 | 62 | 59 | 53 | 40 | 50 | 50 | 59 | 55 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonas Johansson | 0 | 100.00 | 82 | 82 | 82 | 92 | 84 | 81 | 77 | 78 | 79 | 83 | 76 | 75 | 68 | 1 | 50 | 75 | 30 | 2,500,000$/1yrs |
Cal Petersen | 0 | 100.00 | 71 | 71 | 74 | 60 | 69 | 69 | 71 | 68 | 69 | 71 | 66 | 65 | 58 | 1 | 50 | 63 | 31 | 1,800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ales Stezka | 0 | 100.00 | 71 | 66 | 67 | 66 | 68 | 68 | 70 | 66 | 68 | 69 | 63 | 56 | 51 | 1 | 50 | 62 | 29 | 975,000$/1yrs |
Ben Gaudreau | 0 | 100.00 | 62 | 57 | 57 | 61 | 60 | 59 | 59 | 56 | 60 | 59 | 56 | 50 | 50 | 1 | 50 | 54 | 22 | 1,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Manny Malhotra | 73 | 68 | 66 | 70 | 57 | 53 | 1 | CAN | 45 | 4 | 1,000,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Elmer Soderblom | Gulls (ANA) | LW/RW | 14 | 4 | 4 | 8 | -7 | 0 | 0 | 21 | 35 | 9 | 20 | 11.43% | 5 | 21.92 | 1 | 4 | 5 | 0 | 0 | 0 | 9 | 0 | 1 | 40.00% | 0 | 0 | 0.57 | 2 | 5 | 0.49 | |||
| 2 | Denver Barkey | Gulls (ANA) | C/LW | 14 | 2 | 5 | 7 | -4 | 0 | 0 | 21 | 24 | 7 | 22 | 8.33% | 6 | 22.93 | 2 | 4 | 6 | 0 | 0 | 0 | 17 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 1 | 5 | 0.44 | |||
| 3 | Bradly Nadeau | Gulls (ANA) | LW/RW | 14 | 3 | 3 | 6 | -1 | 5 | 5 | 19 | 19 | 3 | 9 | 15.79% | 0 | 17.13 | 3 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 37.50% | 0 | 0 | 0.43 | 0 | 2 | 0.35 | |||
| 4 | Cam Atkinson | Gulls (ANA) | LW/RW | 13 | 2 | 2 | 4 | -7 | 0 | 0 | 17 | 23 | 4 | 13 | 8.70% | 3 | 20.77 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 50.77% | 0 | 0 | 0.31 | 0 | 0 | 0.20 | |||
| 5 | Alex Kannok Leipert | Gulls (ANA) | D | 14 | 1 | 2 | 3 | -6 | 15 | 5 | 23 | 16 | 3 | 7 | 6.25% | 11 | 26.60 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | -0.05 | |||
| 6 | Colin Felix | Gulls (ANA) | D | 14 | 0 | 2 | 2 | -2 | 8 | 0 | 17 | 9 | 2 | 8 | 0.00% | 5 | 22.04 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.03 | |||
| 7 | Stephen Halliday | Gulls (ANA) | C/LW | 14 | 0 | 2 | 2 | -1 | 2 | 0 | 19 | 11 | 4 | 7 | 0.00% | 4 | 19.03 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 46.24% | 0 | 0 | 0.14 | 2 | 4 | 0.12 | |||
| 8 | Xavier Parent | Gulls (ANA) | C/LW/RW | 14 | 2 | 0 | 2 | -3 | 4 | 0 | 25 | 11 | 5 | 8 | 18.18% | 2 | 20.00 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 1 | 0 | 64.29% | 0 | 0 | 0.14 | 0 | 0 | 0.08 | |||
| 9 | Amadeus Lombardi | Gulls (ANA) | C | 14 | 1 | 0 | 1 | -3 | 0 | 0 | 12 | 5 | 3 | 9 | 20.00% | 4 | 17.81 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 63.64% | 0 | 0 | 0.07 | 0 | 1 | 0.05 | |||
| 10 | Riley Stillman | Gulls (ANA) | D | 11 | 0 | 1 | 1 | -3 | 0 | 0 | 13 | 4 | 1 | 0 | 0.00% | 3 | 20.55 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.01 | |||
| 11 | Aiden Fink | Gulls (ANA) | RW | 11 | 0 | 0 | 0 | -3 | 4 | 0 | 11 | 4 | 0 | 4 | 0.00% | 2 | 15.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.11 | |||
| 12 | Bryan Yoon | Gulls (ANA) | D | 13 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 1 | 3 | 1 | 0.00% | 6 | 15.83 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 13 | Carey Terrance | Gulls (ANA) | C | 9 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 2 | 1 | 1 | 0.00% | 0 | 6.87 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 14 | Anders Bjork | Gulls (ANA) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 0 | 3 | 0.00% | 0 | 16.15 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | 0.10 | |||
| 15 | Atley Calvert | Gulls (ANA) | C | 13 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 16 | Blake Biondi | Gulls (ANA) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 17 | Brett Davis | Gulls (ANA) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 0 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
| 18 | Cade Borchardt | Gulls (ANA) | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 21.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.29 | |||
| 19 | Charlie Wright | Gulls (ANA) | D | 14 | 0 | 0 | 0 | -5 | 2 | 0 | 13 | 1 | 2 | 1 | 0.00% | 3 | 17.26 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.12 | |||
| 20 | Christian Felton | Gulls (ANA) | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 0.00% | 0 | 9.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 21 | Guillaume Brisebois | Gulls (ANA) | D | 11 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 2 | 1 | 2 | 0.00% | 5 | 20.09 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
| 22 | Zach Solow | Gulls (ANA) | RW | 3 | 0 | 0 | 0 | 0 | 4 | 0 | 3 | 3 | 0 | 2 | 0.00% | 0 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | |||
| 23 | Andrew Perrott | Gulls (ANA) | D | 13 | 0 | 0 | 0 | -2 | 10 | 0 | 17 | 2 | 0 | 4 | 0.00% | 5 | 8.79 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.13 | |||
| 24 | Wyatt Bongiovanni | Gulls (ANA) | C | 14 | 0 | 0 | 0 | -4 | 2 | 0 | 7 | 5 | 1 | 4 | 0.00% | 3 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
| Team Total or Average | 248 | 15 | 21 | 36 | -62 | 56 | 10 | 269 | 181 | 51 | 125 | 8.29% | 68 | 17.01 | 8 | 11 | 19 | 238 | 0 | 0 | 0 | 149 | 2 | 2 | 51.39% | 504 | 49 | 64 | 0 | 0 | 0.17 | 5 | 17 |
| 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 | Jonas Johansson | Gulls (ANA) | 11 | 3 | 4 | 4 | 0.898 | 1.71 | 667 | 0 | 2 | 19 | 186 | 100 | 1 | 0 | 0.625 | 16 | 11 | 0 | 1 | 1 | 0 |
| 2 | Cal Petersen | Gulls (ANA) | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 18 | 0 | 0 | 0 | 4 | 2 | 0 | 0 | 0.000 | 0 | 0 | 10 | 0 | 0 | 0 |
| Team Total or Average | 12 | 3 | 4 | 4 | 0.900 | 1.66 | 686 | 0 | 2 | 19 | 190 | 102 | 1 | 0 | 0.625 | 16 | 11 | 10 | 1 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aiden Fink | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Ales Stezka | G | 29 | 975,000$ | 975,000$ | UFA | ||||||
| Alex Kannok Leipert | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Amadeus Lombardi | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Anders Bjork | LW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Andrew Perrott | D | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Atley Calvert | C | 22 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Ben Gaudreau | G | 22 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Blake Biondi | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Bradly Nadeau | LW/RW | 21 | 918,333$ | 975,000$ | RFA | ||||||
| Brett Davis | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Bryan Yoon | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Cade Borchardt | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Cal Petersen | G | 31 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
| Cam Atkinson | LW/RW | 37 | 3,500,000$ | 3,500,000$ | UFA | ||||||
| Carey Terrance | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Charlie Wright | D | 22 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Christian Felton | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Colin Felix | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Denver Barkey | C/LW | 21 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
| Elmer Soderblom | LW/RW | 24 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |||
| Guillaume Brisebois | D | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Jonas Johansson | G | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
| Matteo Costantini | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Riley Stillman | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Stephen Halliday | C/LW | 23 | 975,000$ | 975,000$ | |||||||
| Wyatt Bongiovanni | C | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Xavier Parent | C/LW/RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Zach Solow | RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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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 | Bruins | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 6 | 8 | 5 | 21 | 27 | 70 | 80 | 20 | 15 | 3 | 2 | 27 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 50.0% | 9.5% | 93.3% | 102.9 | LUCKY |
| 2 | Heat | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | 5 | 9 | 27 | 70 | 80 | 20 | 20 | 3 | 7 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 0.0% | 0.0% | 80.0% | 80.0 | Unlucky |
| 3 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 1 | 6 | 8 | 5 | 15 | 27 | 70 | 80 | 20 | 13 | 7 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 25.0% | 13.3% | 76.9% | 90.3 | FUN |
| 4 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 1 | 6 | 8 | 5 | 5 | 27 | 70 | 80 | 20 | 13 | 6 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 100.0% | 20.0% | 100.0% | 120.0 | LUCKY |
| 5 | Condors | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.500 | 3 | 3 | 6 | 0 | 0 | 1 | 6 | 8 | 5 | 48 | 27 | 70 | 80 | 20 | 43 | 9 | 8 | 46 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 25.0% | 6.3% | 90.7% | 96.9 | Unlucky |
| 6 | Reign | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 4 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 6 | 8 | 5 | 21 | 27 | 70 | 80 | 20 | 26 | 7 | 0 | 37 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 33.3% | 9.5% | 84.6% | 94.1 | FUN |
| 7 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 6 | 8 | 5 | 20 | 27 | 70 | 80 | 20 | 34 | 7 | 6 | 20 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 33.3% | 10.0% | 91.2% | 101.2 | LUCKY |
| 8 | Islanders | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 6 | 8 | 5 | 13 | 27 | 70 | 80 | 20 | 35 | 7 | 8 | 13 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 25.0% | 23.1% | 88.6% | 111.6 | FUN |
| 9 | Phantoms | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 1 | 3 | 0 | 1 | 1 | 6 | 8 | 5 | 19 | 27 | 70 | 80 | 20 | 36 | 15 | 17 | 45 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 33.3% | 10.5% | 94.4% | 105.0 | LUCKY |
| 10 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | 5 | 10 | 27 | 70 | 80 | 20 | 13 | 4 | 2 | 6 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 0.0% | 0.0% | 84.6% | 84.6 | Unlucky |
| _Vs Conference | 10 | 2 | 5 | 0 | 0 | 1 | 0 | 2 | 10 | 20 | -10 | 7 | 0.350 | 10 | 12 | 22 | 1 | 1 | 1 | 6 | 8 | 5 | 128 | 27 | 70 | 80 | 20 | 162 | 43 | 29 | 185 | 20 | 4 | 20.00% | 13 | 3 | 76.92% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 26.1% | 7.8% | 87.7% | 95.5 | Unlucky | |
| _Since Last GM Reset | 14 | 2 | 6 | 0 | 0 | 1 | 2 | 3 | 17 | 27 | -10 | 12 | 0.429 | 17 | 21 | 38 | 1 | 2 | 1 | 6 | 8 | 5 | 181 | 27 | 70 | 80 | 20 | 248 | 68 | 56 | 270 | 31 | 8 | 25.81% | 24 | 4 | 83.33% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 28.1% | 9.4% | 89.1% | 98.5 | FUN | |
| Total | 14 | 2 | 6 | 0 | 0 | 1 | 2 | 3 | 17 | 27 | -10 | 12 | 0.429 | 17 | 21 | 38 | 1 | 2 | 1 | 6 | 8 | 5 | 181 | 27 | 70 | 80 | 20 | 248 | 68 | 56 | 270 | 31 | 8 | 25.81% | 24 | 4 | 83.33% | 0 | 98 | 191 | 51.31% | 105 | 187 | 56.15% | 56 | 108 | 51.85% | 248 | 87 | 259 | 157 | 359 | 183 | 28.1% | 9.4% | 89.1% | 98.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 191 |
| Neutral Zone Start | 108 |
| Defensive Zone Start | 187 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 259 |
| Faceoffs Lost | 227 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 1.9 | 9.57 |
| 2nd Period | 6.9 | 20.31 |
| 3rd Period | 12.6 | 30.68 |
| Overtime | 14.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.1 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 1.1 | 2.67 |
| Overtime | 1.4 | 2.83 |
| Even Strenght Goal | 8 |
|---|---|
| PP Goal | 8 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 1 | 3 |
| Lost | 4 | 2 |
| Overtime Lost | 2 | 2 |
| PP Attempt | 31 |
|---|---|
| PP Goal | 8 |
| PK Attempt | 24 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 12.9 |
| Shots Against | 17.7 |
| Goals For | 1.2 |
| Goals Against | 1.9 |
| Hits | 19.3 |
| Shots Blocked | 4.9 |
| Pim | 4.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | ANA | @ | CHI | ANA2,CHI3 | RECAP | |||||||||
| Tue, Oct 13 | COL | @ | ANA | COL0,ANA1 | RECAP | |||||||||
| Thu, Oct 15 | PHI | @ | ANA | PHI2,ANA1 | RECAP | |||||||||
| Sat, Oct 17 | CAL | @ | ANA | CAL4,ANA0 | RECAP | |||||||||
| Sun, Oct 18 | ANA | @ | BOS | ANA2,BOS1 (SO) | RECAP | |||||||||
| Tue, Oct 20 | ANA | @ | NYI | ANA3,NYI4 (SO) | RECAP | |||||||||
| Thu, Oct 22 | ANA | @ | EDM | ANA1,EDM2 | RECAP | |||||||||
| Sat, Oct 24 | EDM | @ | ANA | EDM1,ANA0 (OT) | RECAP | |||||||||
| Mon, Oct 26 | ANA | @ | LOS | ANA2,LOS3 (SO) | RECAP | |||||||||
| Wed, Oct 28 | LOS | @ | ANA | LOS1,ANA0 (SO) | RECAP | |||||||||
| Fri, Oct 30 | MIN | @ | ANA | MIN3,ANA2 | RECAP | |||||||||
| Sun, Nov 1 | ANA | @ | EDM | ANA2,EDM1 | RECAP | |||||||||
| Tue, Nov 3 | ANA | @ | PHI | ANA1,PHI0 (SO) | RECAP | |||||||||
| Thu, Nov 5 | PHO | @ | ANA | PHO2,ANA0 | RECAP | |||||||||
| Sat, Nov 7 | EDM | @ | ANA | |||||||||||
| Mon, Nov 9 | ANA | @ | VAN | |||||||||||
| Thu, Nov 12 | S J | @ | ANA | |||||||||||
| Fri, Nov 13 | ANA | @ | MTL | |||||||||||
| Sun, Nov 15 | ANA | @ | WAS | |||||||||||
| Tue, Nov 17 | WAS | @ | ANA | |||||||||||
| Thu, Nov 19 | ANA | @ | LOS | |||||||||||
| Sat, Nov 21 | BUF | @ | ANA | |||||||||||
| Tue, Nov 24 | ANA | @ | DAL | |||||||||||
| Thu, Nov 26 | ANA | @ | PIT | |||||||||||
| Fri, Nov 27 | TOR | @ | ANA | |||||||||||
| Sun, Nov 29 | PIT | @ | ANA | |||||||||||
| Tue, Dec 1 | ANA | @ | BOS | |||||||||||
| Thu, Dec 3 | LOS | @ | ANA | |||||||||||
| Sat, Dec 5 | ANA | @ | BUF | |||||||||||
| Sun, Dec 6 | S J | @ | ANA | |||||||||||
| Tue, Dec 8 | ANA | @ | NAS | |||||||||||
| Thu, Dec 10 | SEA | @ | ANA | |||||||||||
| Sat, Dec 12 | DAL | @ | ANA | |||||||||||
| Mon, Dec 14 | ANA | @ | WPG | |||||||||||
| Wed, Dec 16 | NYR | @ | ANA | |||||||||||
| Fri, Dec 18 | ANA | @ | TOR | |||||||||||
| Sat, Dec 19 | CAR | @ | ANA | |||||||||||
| Tue, Dec 22 | ANA | @ | STL | |||||||||||
| Wed, Dec 23 | DET | @ | ANA | |||||||||||
| Fri, Dec 25 | ANA | @ | FLO | |||||||||||
| Sun, Dec 27 | FLO | @ | ANA | |||||||||||
| Tue, Dec 29 | ANA | @ | PHO | |||||||||||
| Wed, Dec 30 | ANA | @ | SEA | |||||||||||
| Fri, Jan 1 | PHO | @ | ANA | |||||||||||
| Sun, Jan 3 | ANA | @ | PHO | |||||||||||
| Mon, Jan 4 | COL | @ | ANA | |||||||||||
| Wed, Jan 6 | ANA | @ | TAM | |||||||||||
| Fri, Jan 8 | TAM | @ | ANA | |||||||||||
| Sun, Jan 10 | ANA | @ | SEA | |||||||||||
| Mon, Jan 11 | ANA | @ | CAL | |||||||||||
| Tue, Jan 12 | CHI | @ | ANA | |||||||||||
| Thu, Jan 14 | NAS | @ | ANA | |||||||||||
| Sat, Jan 16 | ANA | @ | CAR | |||||||||||
| Mon, Jan 18 | ANA | @ | NJD | |||||||||||
| Wed, Jan 20 | NYR | @ | ANA | |||||||||||
| Thu, Jan 21 | ANA | @ | CLB | |||||||||||
| Sat, Jan 23 | COL | @ | ANA | |||||||||||
| Mon, Jan 25 | ANA | @ | OTT | |||||||||||
| Tue, Jan 26 | CAL | @ | ANA | |||||||||||
| Thu, Jan 28 | ANA | @ | MIN | |||||||||||
| Sat, Jan 30 | CLB | @ | ANA | |||||||||||
| Mon, Feb 1 | WPG | @ | ANA | |||||||||||
| Thu, Feb 4 | BOS | @ | ANA | |||||||||||
| Sun, Feb 7 | ANA | @ | CHI | |||||||||||
| Mon, Feb 8 | PHI | @ | ANA | |||||||||||
| Wed, Feb 10 | ANA | @ | S J | |||||||||||
| Fri, Feb 12 | MIN | @ | ANA | |||||||||||
| Sun, Feb 14 | ANA | @ | COL | |||||||||||
| Mon, Feb 15 | ANA | @ | NYR | |||||||||||
| Wed, Feb 17 | MTL | @ | ANA | |||||||||||
| Fri, Feb 19 | ANA | @ | S J | |||||||||||
| Sat, Feb 20 | NJD | @ | ANA | |||||||||||
| Tue, Feb 23 | ANA | @ | DET | |||||||||||
| Wed, Feb 24 | STL | @ | ANA | |||||||||||
| Sat, Feb 27 | SEA | @ | ANA | |||||||||||
| Tue, Mar 2 | NYI | @ | ANA | |||||||||||
| Thu, Mar 4 | ANA | @ | CHI | |||||||||||
| Sun, Mar 7 | OTT | @ | ANA | |||||||||||
| Mon, Mar 8 | ANA | @ | CAR | |||||||||||
| Tue, Mar 9 | ANA | @ | CHI | |||||||||||
| Fri, Mar 12 | ANA | @ | CAL | |||||||||||
| Sun, Mar 14 | VAN | @ | ANA | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 17 | ANA | @ | COL | |||||||||||
| Fri, Mar 19 | CHI | @ | ANA | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,915,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Diego | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 35 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,915,000$ | 3,915,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 822,603$ | 0$ | 655,932$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 158 | 30,340$ | 4,095,900$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,095,900$ | 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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