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Full Scoreboard »» |
![]() | San Diego Gulls 24-25-11, 59pts · 11th 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 | 36 | 3,500,000$/2yrs | |||
Kailer Yamamoto | 0 | C/RW | 100.00 | 61 | 44 | 73 | 80 | 58 | 74 | 73 | 68 | 49 | 67 | 64 | 68 | 71 | 78 | 57 | 1 | 50 | 67 | 26 | 4,000,000$/4yrs | |||
Arttu Hyry | 0 | RW | 100.00 | 64 | 41 | 68 | 62 | 64 | 63 | 62 | 63 | 56 | 61 | 61 | 64 | 62 | 51 | 50 | 1 | 50 | 61 | 24 | 1,000,000$/2yrs | |||
Amadeus Lombardi | 0 | C | 100.00 | 56 | 41 | 73 | 66 | 59 | 63 | 62 | 62 | 60 | 62 | 58 | 55 | 62 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/2yrs | |||
Wyatt Bongiovanni | 0 | LW | 100.00 | 59 | 42 | 69 | 65 | 63 | 65 | 64 | 63 | 55 | 55 | 61 | 57 | 63 | 53 | 50 | 1 | 50 | 59 | 25 | 1,500,000$/3yrs | |||
Xavier Parent | 0 | C/LW/RW | 100.00 | 54 | 45 | 64 | 69 | 55 | 66 | 64 | 63 | 44 | 61 | 58 | 54 | 63 | 52 | 50 | 1 | 50 | 59 | 24 | 1,500,000$/3yrs | |||
Anders Bjork | 0 | LW | 100.00 | 58 | 40 | 72 | 64 | 63 | 66 | 64 | 59 | 42 | 57 | 53 | 58 | 58 | 57 | 50 | 1 | 50 | 58 | 28 | 1,000,000$/2yrs | |||
Zach Solow | 0 | RW | 100.00 | 57 | 49 | 61 | 65 | 60 | 66 | 65 | 61 | 42 | 58 | 54 | 58 | 60 | 54 | 50 | 1 | 50 | 58 | 26 | 1,500,000$/3yrs | |||
Atley Calvert | 0 | C | 100.00 | 60 | 41 | 67 | 61 | 62 | 59 | 57 | 58 | 51 | 54 | 55 | 55 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 1,000,000$/2yrs | |||
Brett Davis | 0 | LW | 100.00 | 59 | 40 | 67 | 58 | 63 | 62 | 61 | 56 | 40 | 54 | 54 | 55 | 56 | 52 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/2yrs | |||
Riley Stillman | 0 | D | 100.00 | 58 | 48 | 63 | 65 | 65 | 68 | 65 | 59 | 40 | 53 | 55 | 62 | 59 | 70 | 51 | 1 | 50 | 60 | 27 | 3,000,000$/3yrs | |||
Alex Kannok Leipert | 0 | D | 100.00 | 61 | 53 | 59 | 65 | 64 | 64 | 62 | 58 | 40 | 52 | 53 | 62 | 59 | 52 | 50 | 1 | 50 | 59 | 24 | 1,000,000$/2yrs | |||
Guillaume Brisebois | 0 | D | 100.00 | 56 | 41 | 71 | 66 | 60 | 66 | 64 | 56 | 40 | 51 | 52 | 63 | 58 | 55 | 50 | 1 | 50 | 59 | 27 | 1,200,000$/2yrs | |||
Andrew Perrott | 0 | D | 100.00 | 63 | 44 | 63 | 65 | 66 | 59 | 57 | 55 | 40 | 51 | 52 | 64 | 57 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/2yrs | |||
Bryan Yoon | 0 | D | 100.00 | 55 | 40 | 70 | 65 | 59 | 65 | 62 | 55 | 40 | 52 | 52 | 62 | 58 | 54 | 50 | 1 | 50 | 58 | 27 | 1,000,000$/2yrs | |||
Colin Felix | 0 | D | 100.00 | 58 | 44 | 62 | 63 | 64 | 64 | 62 | 57 | 40 | 52 | 52 | 60 | 57 | 53 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/2yrs | |||
Charlie Wright | 0 | D | 100.00 | 59 | 40 | 67 | 62 | 62 | 59 | 57 | 56 | 40 | 54 | 53 | 60 | 57 | 50 | 50 | 1 | 50 | 57 | 21 | 1,000,000$/2yrs | |||
Christian Felton | 0 | D | 100.00 | 58 | 40 | 66 | 62 | 61 | 61 | 58 | 55 | 40 | 53 | 53 | 60 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Blake Biondi (R) | 0 | C | 100.00 | 60 | 40 | 66 | 59 | 62 | 59 | 57 | 55 | 46 | 53 | 53 | 55 | 55 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/1yrs | |||
Cade Borchardt | 0 | C/LW/RW | 100.00 | 55 | 40 | 66 | 61 | 58 | 61 | 59 | 54 | 40 | 53 | 53 | 54 | 56 | 52 | 50 | 1 | 50 | 55 | 26 | 1,000,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cal Petersen | 0 | 100.00 | 75 | 70 | 72 | 62 | 70 | 69 | 71 | 68 | 69 | 72 | 66 | 64 | 57 | 1 | 50 | 64 | 30 | 1,800,000$/3yrs |
Ales Stezka | 0 | 100.00 | 71 | 66 | 67 | 66 | 68 | 68 | 70 | 66 | 68 | 69 | 63 | 56 | 51 | 1 | 50 | 62 | 28 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ben Gaudreau | 0 | 100.00 | 62 | 57 | 57 | 61 | 60 | 59 | 59 | 56 | 60 | 59 | 56 | 50 | 50 | 1 | 50 | 54 | 21 | 1,000,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 83 | 87 | 81 | 86 | 77 | 69 | 1 | USA | 50 | 4 | 1,000,000$ |
| 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 | Kailer Yamamoto | Gulls (ANA) | C/RW | 60 | 27 | 16 | 43 | -8 | 23 | 5 | 89 | 151 | 28 | 69 | 17.88% | 27 | 21.94 | 8 | 3 | 11 | 1 | 0 | 1 | 69 | 3 | 5 | 53.61% | 0 | 3 | 0.72 | 0 | 7 | 0.65 | |||
| 2 | Cam Atkinson | Gulls (ANA) | LW/RW | 60 | 12 | 27 | 39 | -14 | 28 | 20 | 82 | 128 | 47 | 84 | 9.38% | 35 | 24.06 | 2 | 6 | 8 | 0 | 2 | 2 | 96 | 1 | 1 | 49.65% | 0 | 0 | 0.65 | 1 | 8 | 0.50 | |||
| 3 | Alex Kannok Leipert | Gulls (ANA) | D | 52 | 6 | 16 | 22 | 0 | 65 | 15 | 87 | 39 | 21 | 14 | 15.38% | 61 | 26.01 | 2 | 1 | 3 | 1 | 1 | 2 | 75 | 2 | 1 | 100.00% | 0 | 0 | 0.42 | 1 | 1 | 0.20 | |||
| 4 | Anders Bjork | Gulls (ANA) | LW | 60 | 12 | 8 | 20 | -9 | 6 | 0 | 79 | 50 | 22 | 26 | 24.00% | 21 | 19.26 | 5 | 2 | 7 | 0 | 0 | 0 | 64 | 5 | 0 | 46.62% | 0 | 0 | 0.33 | 0 | 0 | 0.26 | |||
| 5 | Arttu Hyry | Gulls (ANA) | RW | 60 | 8 | 10 | 18 | -13 | 41 | 15 | 94 | 40 | 25 | 36 | 20.00% | 30 | 21.08 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 50.79% | 0 | 0 | 0.30 | 2 | 6 | 0.11 | |||
| 6 | Xavier Parent | Gulls (ANA) | C/LW/RW | 60 | 5 | 12 | 17 | -17 | 31 | 5 | 94 | 72 | 18 | 51 | 6.94% | 23 | 19.49 | 0 | 2 | 2 | 1 | 0 | 1 | 27 | 1 | 0 | 35.71% | 0 | 0 | 0.28 | 1 | 8 | 0.14 | |||
| 7 | Andrew Perrott | Gulls (ANA) | D | 60 | 4 | 8 | 12 | -15 | 38 | 0 | 87 | 49 | 10 | 17 | 8.16% | 87 | 25.94 | 1 | 1 | 2 | 0 | 0 | 0 | 67 | 1 | 2 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | |||
| 8 | Atley Calvert | Gulls (ANA) | C | 47 | 3 | 8 | 11 | 3 | 8 | 0 | 44 | 12 | 4 | 8 | 25.00% | 6 | 11.03 | 2 | 1 | 3 | 0 | 0 | 0 | 19 | 1 | 1 | 55.73% | 0 | 0 | 0.23 | 0 | 0 | 0.19 | |||
| 9 | Wyatt Bongiovanni | Gulls (ANA) | LW | 60 | 5 | 5 | 10 | -15 | 23 | 15 | 73 | 47 | 17 | 32 | 10.64% | 15 | 17.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 44.00% | 0 | 0 | 0.17 | 3 | 6 | 0.05 | |||
| 10 | Amadeus Lombardi | Gulls (ANA) | C | 26 | 3 | 6 | 9 | 3 | 0 | 0 | 24 | 15 | 7 | 10 | 20.00% | 2 | 15.60 | 1 | 1 | 2 | 0 | 1 | 1 | 19 | 1 | 1 | 51.92% | 0 | 0 | 0.35 | 1 | 1 | 0.33 | |||
| 11 | Charlie Wright | Gulls (ANA) | D | 50 | 2 | 6 | 8 | -18 | 6 | 0 | 53 | 19 | 10 | 4 | 10.53% | 33 | 20.86 | 1 | 4 | 5 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.02 | |||
| 12 | Zach Solow | Gulls (ANA) | RW | 60 | 4 | 4 | 8 | -13 | 18 | 0 | 75 | 41 | 12 | 25 | 9.76% | 13 | 16.61 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 61.90% | 0 | 0 | 0.13 | 2 | 2 | 0.04 | |||
| 13 | Riley Stillman | Gulls (ANA) | D | 43 | 2 | 5 | 7 | -1 | 18 | 0 | 31 | 16 | 6 | 7 | 12.50% | 18 | 13.33 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0.16 | 1 | 2 | 0.09 | |||
| 14 | Bryan Yoon | Gulls (ANA) | D | 55 | 1 | 4 | 5 | -9 | 2 | 0 | 21 | 9 | 3 | 6 | 11.11% | 36 | 19.27 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 1 | 0 | 28.57% | 0 | 0 | 0.09 | 0 | 1 | 0.03 | |||
| 15 | Blake Biondi | Gulls (ANA) | C | 46 | 2 | 2 | 4 | 0 | 6 | 0 | 17 | 7 | 2 | 3 | 28.57% | 4 | 5.46 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 45.76% | 0 | 0 | 0.09 | 0 | 0 | 0.06 | |||
| 16 | Guillaume Brisebois | Gulls (ANA) | D | 39 | 1 | 3 | 4 | -3 | 9 | 5 | 12 | 14 | 9 | 5 | 7.14% | 15 | 13.54 | 0 | 2 | 2 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 1 | 0 | 0.10 | 0 | 0 | 0.04 | |||
| 17 | Colin Felix | Gulls (ANA) | D | 42 | 1 | 2 | 3 | -4 | 4 | 0 | 20 | 7 | 3 | 1 | 14.29% | 8 | 14.16 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.01 | |||
| 18 | Cade Borchardt | Gulls (ANA) | C/LW/RW | 30 | 0 | 3 | 3 | -3 | 0 | 0 | 28 | 7 | 1 | 6 | 0.00% | 3 | 11.45 | 0 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 60.00% | 0 | 0 | 0.10 | 0 | 0 | 0.06 | |||
| 19 | Brett Davis | Gulls (ANA) | LW | 58 | 0 | 1 | 1 | 1 | 2 | 0 | 23 | 5 | 1 | 5 | 0.00% | 2 | 5.95 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 33.33% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | |||
| 20 | Christian Felton | Gulls (ANA) | D | 58 | 0 | 0 | 0 | -4 | 0 | 0 | 9 | 4 | 4 | 0 | 0.00% | 4 | 9.11 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| Team Total or Average | 1026 | 98 | 146 | 244 | -139 | 328 | 80 | 1042 | 732 | 250 | 409 | 13.39% | 443 | 17.04 | 24 | 29 | 53 | 817 | 3 | 4 | 7 | 680 | 22 | 14 | 49.82% | 2276 | 197 | 287 | 1 | 3 | 0.28 | 12 | 42 |
| 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 | Cal Petersen | Gulls (ANA) | 59 | 24 | 23 | 11 | 0.892 | 2.13 | 3577 | 4 | 6 | 127 | 1171 | 642 | 4 | 2 | 0.600 | 45 | 59 | 0 | 3 | 1 | 1 |
| 2 | Ales Stezka | Gulls (ANA) | 1 | 0 | 1 | 0 | 0.939 | 2.00 | 60 | 2 | 0 | 2 | 33 | 14 | 0 | 0 | 0.000 | 0 | 1 | 36 | 0 | 0 | 0 |
| 3 | Ben Gaudreau | Gulls (ANA) | 1 | 0 | 1 | 0 | 0.714 | 5.46 | 22 | 0 | 0 | 2 | 7 | 3 | 0 | 0 | 0.000 | 0 | 0 | 24 | 0 | 0 | 0 |
| Team Total or Average | 61 | 24 | 25 | 11 | 0.892 | 2.15 | 3660 | 6 | 6 | 131 | 1211 | 659 | 4 | 2 | 0.600 | 45 | 60 | 60 | 3 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ales Stezka | G | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Alex Kannok Leipert | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Amadeus Lombardi | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Anders Bjork | LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Andrew Perrott | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Arttu Hyry | RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Atley Calvert | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Ben Gaudreau | G | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Blake Biondi | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Brett Davis | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Bryan Yoon | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Cade Borchardt | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Cal Petersen | G | 30 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
| Cam Atkinson | LW/RW | 36 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
| Charlie Wright | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Christian Felton | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Colin Felix | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Guillaume Brisebois | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Kailer Yamamoto | C/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
| Riley Stillman | D | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
| Wyatt Bongiovanni | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Xavier Parent | C/LW/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
| Zach Solow | RW | 26 | 1,500,000$ | 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 | Moose | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 10 | 25 | 59 | 24 | 19 | 169 | 238 | 336 | 83 | 21 | 8 | 24 | 34 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 40.0% | 10.5% | 85.7% | 96.2 | FUN |
| 2 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 59 | 24 | 15 | 169 | 238 | 336 | 83 | 31 | 13 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 0.0% | 93.5% | 93.5 | DULL |
| 3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 10 | 25 | 59 | 24 | 18 | 169 | 238 | 336 | 83 | 28 | 10 | 23 | 38 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 1 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 42.9% | 22.2% | 85.7% | 107.9 | FUN |
| 4 | Heat | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 2 | 6 | 6 | 1.000 | 8 | 12 | 20 | 0 | 1 | 10 | 25 | 59 | 24 | 38 | 169 | 238 | 336 | 83 | 29 | 16 | 12 | 55 | 6 | 3 | 50.00% | 6 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 71.4% | 21.1% | 93.1% | 114.2 | LUCKY |
| 5 | Wolves | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 10 | 25 | 59 | 24 | 11 | 169 | 238 | 336 | 83 | 27 | 8 | 2 | 18 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 66.7% | 18.2% | 96.3% | 114.5 | LUCKY |
| 6 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 1 | 10 | 25 | 59 | 24 | 29 | 169 | 238 | 336 | 83 | 78 | 38 | 13 | 39 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 1 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 33.3% | 13.8% | 94.9% | 108.7 | LUCKY |
| 7 | Eagles | 6 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 8 | 18 | -10 | 2 | 0.167 | 8 | 12 | 20 | 1 | 0 | 10 | 25 | 59 | 24 | 89 | 169 | 238 | 336 | 83 | 127 | 40 | 38 | 129 | 13 | 2 | 15.38% | 9 | 6 | 33.33% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 33.3% | 9.0% | 85.8% | 94.8 | FUN |
| 8 | Monsters | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 10 | 25 | 59 | 24 | 23 | 169 | 238 | 336 | 83 | 22 | 11 | 8 | 32 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 20.0% | 4.3% | 81.8% | 86.2 | Unlucky |
| 9 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 10 | 25 | 59 | 24 | 15 | 169 | 238 | 336 | 83 | 28 | 11 | 17 | 30 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 60.0% | 20.0% | 85.7% | 105.7 | FUN |
| 10 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 10 | 25 | 59 | 24 | 35 | 169 | 238 | 336 | 83 | 77 | 33 | 18 | 29 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 27.3% | 11.4% | 89.6% | 101.0 | FUN |
| 11 | Condors | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 10 | 25 | 59 | 24 | 12 | 169 | 238 | 336 | 83 | 20 | 10 | 4 | 17 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 16.7% | 85.0% | 101.7 | FUN |
| 12 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 10 | 25 | 59 | 24 | 4 | 169 | 238 | 336 | 83 | 10 | 3 | 2 | 18 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 25.0% | 100.0% | 125.0 | LUCKY |
| 13 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 10 | 25 | 59 | 24 | 10 | 169 | 238 | 336 | 83 | 6 | 1 | 7 | 14 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 66.7% | 60.0% | 66.7% | 126.7 | FUN |
| 14 | Rocket | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 10 | 25 | 59 | 24 | 19 | 169 | 238 | 336 | 83 | 14 | 3 | 4 | 20 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 66.7% | 10.5% | 92.9% | 103.4 | LUCKY |
| 15 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 59 | 24 | 5 | 169 | 238 | 336 | 83 | 9 | 1 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 0.0% | 77.8% | 77.8 | Unlucky |
| 16 | Comets | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 1 | 10 | 25 | 59 | 24 | 22 | 169 | 238 | 336 | 83 | 19 | 3 | 10 | 35 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 100.0% | 18.2% | 89.5% | 107.7 | FUN |
| 17 | Belleville Senators | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 3 | 6 | 0 | 0 | 10 | 25 | 59 | 24 | 20 | 169 | 238 | 336 | 83 | 54 | 20 | 15 | 32 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 25.0% | 15.0% | 88.9% | 103.9 | FUN |
| 18 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 10 | 25 | 59 | 24 | 14 | 169 | 238 | 336 | 83 | 30 | 10 | 4 | 45 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 50.0% | 28.6% | 93.3% | 121.9 | LUCKY |
| 19 | Roadrunners | 6 | 0 | 2 | 0 | 3 | 0 | 0 | 1 | 15 | 18 | -3 | 7 | 0.583 | 15 | 22 | 37 | 0 | 0 | 10 | 25 | 59 | 24 | 119 | 169 | 238 | 336 | 83 | 124 | 44 | 26 | 107 | 8 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 48.4% | 12.6% | 85.5% | 98.1 | FUN |
| 20 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 10 | 25 | 59 | 24 | 14 | 169 | 238 | 336 | 83 | 50 | 18 | 4 | 42 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 0.0% | 92.0% | 92.0 | DULL |
| 21 | Barracuda | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 4 | 7 | 0 | 0 | 10 | 25 | 59 | 24 | 49 | 169 | 238 | 336 | 83 | 43 | 13 | 12 | 52 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 33.3% | 6.1% | 86.0% | 92.2 | Unlucky |
| 22 | Thunderbirds | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 10 | 25 | 59 | 24 | 44 | 169 | 238 | 336 | 83 | 79 | 34 | 12 | 34 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 45.5% | 11.4% | 89.9% | 101.2 | FUN |
| 23 | Crunch | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 6 | 11 | 0 | 0 | 10 | 25 | 59 | 24 | 9 | 169 | 238 | 336 | 83 | 32 | 16 | 6 | 29 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 1 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 66.7% | 55.6% | 90.6% | 146.2 | FUN |
| 24 | Marlies | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 15 | 27 | 0 | 0 | 10 | 25 | 59 | 24 | 47 | 169 | 238 | 336 | 83 | 101 | 49 | 21 | 60 | 11 | 4 | 36.36% | 8 | 3 | 62.50% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 50.0% | 25.5% | 89.1% | 114.6 | FUN |
| 25 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 10 | 25 | 59 | 24 | 25 | 169 | 238 | 336 | 83 | 61 | 21 | 18 | 39 | 3 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 25.0% | 8.0% | 85.2% | 93.2 | Unlucky |
| 26 | Hershey Bears | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 10 | 25 | 59 | 24 | 13 | 169 | 238 | 336 | 83 | 10 | 2 | 6 | 18 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 0.0% | 7.7% | 80.0% | 87.7 | Unlucky |
| 27 | Silver Knights | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 10 | 25 | 59 | 24 | 17 | 169 | 238 | 336 | 83 | 19 | 5 | 2 | 34 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 75.0% | 17.6% | 94.7% | 112.4 | LUCKY |
| 28 | Checkers 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 10 | 25 | 59 | 24 | 45 | 169 | 238 | 336 | 83 | 64 | 16 | 26 | 51 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 0 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 28.6% | 6.7% | 85.9% | 92.6 | Unlucky |
| _Vs Conference | 37 | 7 | 16 | 0 | 5 | 2 | 2 | 5 | 67 | 88 | -21 | 35 | 0.473 | 67 | 102 | 169 | 1 | 4 | 10 | 25 | 59 | 24 | 530 | 169 | 238 | 336 | 83 | 734 | 273 | 213 | 659 | 65 | 15 | 23.08% | 68 | 18 | 73.53% | 1 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 42.6% | 12.6% | 88.0% | 100.7 | FUN | |
| _Since Last GM Reset | 60 | 11 | 25 | 0 | 11 | 5 | 2 | 6 | 107 | 139 | -32 | 59 | 0.492 | 107 | 158 | 265 | 2 | 6 | 10 | 25 | 59 | 24 | 780 | 169 | 238 | 336 | 83 | 1213 | 457 | 340 | 1080 | 103 | 26 | 25.24% | 115 | 28 | 75.65% | 3 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 42.2% | 13.7% | 88.5% | 102.3 | FUN | |
| Total | 60 | 11 | 25 | 0 | 11 | 5 | 2 | 6 | 107 | 139 | -32 | 59 | 0.492 | 107 | 158 | 265 | 2 | 6 | 10 | 25 | 59 | 24 | 780 | 169 | 238 | 336 | 83 | 1213 | 457 | 340 | 1080 | 103 | 26 | 25.24% | 115 | 28 | 75.65% | 3 | 380 | 742 | 51.21% | 475 | 943 | 50.37% | 290 | 559 | 51.88% | 991 | 332 | 1158 | 672 | 1513 | 758 | 42.2% | 13.7% | 88.5% | 102.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 742 |
| Neutral Zone Start | 559 |
| Defensive Zone Start | 943 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1145 |
| Faceoffs Lost | 1099 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 2.8 | 9.57 |
| 2nd Period | 6.8 | 20.31 |
| 3rd Period | 12.4 | 30.68 |
| Overtime | 13.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.6 | 1.65 |
| 3rd Period | 1.6 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 76 |
|---|---|
| PP Goal | 26 |
| PK Goal | 3 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 12 | 12 |
| Lost | 15 | 10 |
| Overtime Lost | 2 | 9 |
| PP Attempt | 103 |
|---|---|
| PP Goal | 26 |
| PK Attempt | 115 |
| PK Goal Against | 28 |
| Home | |
|---|---|
| Shots For | 13.0 |
| Shots Against | 20.2 |
| Goals For | 1.8 |
| Goals Against | 2.3 |
| Hits | 18.0 |
| Shots Blocked | 7.6 |
| Pim | 5.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | PHO | @ | ANA | PHO6,ANA4 | RECAP | |||||||||
| Fri, Oct 10 | ANA | @ | COL | ANA1,COL3 | RECAP | |||||||||
| Mon, Oct 13 | PHO | @ | ANA | PHO2,ANA3 (OT) | RECAP | |||||||||
| Wed, Oct 15 | ANA | @ | SEA | ANA1,SEA3 | RECAP | |||||||||
| Fri, Oct 17 | PHO | @ | ANA | PHO2,ANA3 (OT) | RECAP | |||||||||
| Sun, Oct 19 | ANA | @ | EDM | ANA2,EDM3 (SO) | RECAP | |||||||||
| Mon, Oct 20 | ANA | @ | COL | ANA1,COL3 | RECAP | |||||||||
| Thu, Oct 23 | CAL | @ | ANA | CAL1,ANA2 (SO) | RECAP | |||||||||
| Fri, Oct 24 | ANA | @ | CAL | ANA5,CAL1 | RECAP | |||||||||
| Sun, Oct 26 | DET | @ | ANA | DET3,ANA4 (SO) | RECAP | |||||||||
| Mon, Oct 27 | ANA | @ | PHO | ANA1,PHO4 | RECAP | |||||||||
| Thu, Oct 30 | COL | @ | ANA | COL3,ANA1 | RECAP | |||||||||
| Sat, Nov 1 | ANA | @ | COL | ANA1,COL2 (SO) | RECAP | |||||||||
| Mon, Nov 3 | SEA | @ | ANA | SEA2,ANA1 | RECAP | |||||||||
| Wed, Nov 5 | ANA | @ | DAL | ANA1,DAL3 | RECAP | |||||||||
| Fri, Nov 7 | S J | @ | ANA | S J1,ANA0 | RECAP | |||||||||
| Sun, Nov 9 | ANA | @ | S J | ANA2,S J3 (OT) | RECAP | |||||||||
| Mon, Nov 10 | ANA | @ | MTL | ANA2,MTL1 (OT) | RECAP | |||||||||
| Wed, Nov 12 | S J | @ | ANA | S J2,ANA1 (OT) | RECAP | |||||||||
| Thu, Nov 13 | ANA | @ | NJD | ANA1,NJD2 (OT) | RECAP | |||||||||
| Sun, Nov 16 | OTT | @ | ANA | OTT3,ANA1 | RECAP | |||||||||
| Mon, Nov 17 | ANA | @ | BUF | ANA4,BUF2 | RECAP | |||||||||
| Wed, Nov 19 | NJD | @ | ANA | NJD0,ANA3 | RECAP | |||||||||
| Fri, Nov 21 | ANA | @ | CHI | ANA2,CHI1 (OT) | RECAP | |||||||||
| Sun, Nov 23 | BOS | @ | ANA | BOS2,ANA0 | RECAP | |||||||||
| Wed, Nov 26 | ANA | @ | TAM | ANA3,TAM2 (OT) | RECAP | |||||||||
| Thu, Nov 27 | ANA | @ | STL | ANA1,STL3 | RECAP | |||||||||
| Fri, Nov 28 | PIT | @ | ANA | PIT2,ANA0 | RECAP | |||||||||
| Mon, Dec 1 | MIN | @ | ANA | MIN2,ANA6 | RECAP | |||||||||
| Thu, Dec 4 | ANA | @ | TOR | ANA4,TOR3 (OT) | RECAP | |||||||||
| Sat, Dec 6 | ANA | @ | CAR | ANA2,CAR1 (OT) | RECAP | |||||||||
| Sun, Dec 7 | SEA | @ | ANA | SEA4,ANA1 | RECAP | |||||||||
| Wed, Dec 10 | STL | @ | ANA | STL5,ANA4 (SO) | RECAP | |||||||||
| Thu, Dec 11 | ANA | @ | PIT | ANA0,PIT2 | RECAP | |||||||||
| Sun, Dec 14 | ANA | @ | CLB | ANA1,CLB2 (OT) | RECAP | |||||||||
| Mon, Dec 15 | VAN | @ | ANA | VAN4,ANA1 | RECAP | |||||||||
| Wed, Dec 17 | ANA | @ | NAS | ANA0,NAS2 | RECAP | |||||||||
| Thu, Dec 18 | TOR | @ | ANA | TOR4,ANA2 | RECAP | |||||||||
| Mon, Dec 22 | ANA | @ | OTT | ANA2,OTT3 (SO) | RECAP | |||||||||
| Tue, Dec 23 | COL | @ | ANA | COL5,ANA3 | RECAP | |||||||||
| Thu, Dec 25 | ANA | @ | COL | ANA1,COL2 (SO) | RECAP | |||||||||
| Sat, Dec 27 | BUF | @ | ANA | BUF2,ANA0 | RECAP | |||||||||
| Mon, Dec 29 | ANA | @ | VAN | ANA1,VAN5 | RECAP | |||||||||
| Wed, Dec 31 | ANA | @ | WPG | ANA2,WPG1 (OT) | RECAP | |||||||||
| Thu, Jan 1 | CHI | @ | ANA | CHI4,ANA2 | RECAP | |||||||||
| Sun, Jan 4 | ANA | @ | DAL | ANA2,DAL1 | RECAP | |||||||||
| Mon, Jan 5 | TOR | @ | ANA | TOR4,ANA6 | RECAP | |||||||||
| Thu, Jan 8 | ANA | @ | DET | ANA0,DET5 | RECAP | |||||||||
| Fri, Jan 9 | LOS | @ | ANA | LOS0,ANA1 | RECAP | |||||||||
| Mon, Jan 12 | ANA | @ | WAS | ANA1,WAS2 (OT) | RECAP | |||||||||
| Tue, Jan 13 | TAM | @ | ANA | TAM1,ANA2 (OT) | RECAP | |||||||||
| Fri, Jan 16 | ANA | @ | CAL | ANA1,CAL0 | RECAP | |||||||||
| Sat, Jan 17 | CLB | @ | ANA | CLB2,ANA0 | RECAP | |||||||||
| Tue, Jan 20 | ANA | @ | CHI | ANA2,CHI0 | RECAP | |||||||||
| Wed, Jan 21 | PHO | @ | ANA | PHO1,ANA2 (OT) | RECAP | |||||||||
| Sun, Jan 25 | WPG | @ | ANA | WPG2,ANA0 | RECAP | |||||||||
| Mon, Jan 26 | ANA | @ | PHI | ANA1,PHI0 | RECAP | |||||||||
| Thu, Jan 29 | PHI | @ | ANA | PHI2,ANA3 (OT) | RECAP | |||||||||
| Fri, Jan 30 | ANA | @ | PHO | ANA2,PHO3 (SO) | RECAP | |||||||||
| Sun, Feb 1 | CHI | @ | ANA | CHI0,ANA1 | RECAP | |||||||||
| Wed, Feb 4 | ANA | @ | NYR | |||||||||||
| Fri, Feb 6 | WAS | @ | ANA | |||||||||||
| Sun, Feb 8 | ANA | @ | EDM | |||||||||||
| Mon, Feb 9 | ANA | @ | NYI | |||||||||||
| Tue, Feb 10 | MTL | @ | ANA | |||||||||||
| Sat, Feb 14 | CAL | @ | ANA | |||||||||||
| Sun, Feb 15 | ANA | @ | MIN | |||||||||||
| Tue, Feb 17 | EDM | @ | ANA | |||||||||||
| Fri, Feb 20 | NYI | @ | ANA | |||||||||||
| Sun, Feb 22 | ANA | @ | SEA | |||||||||||
| Tue, Feb 24 | CAR | @ | ANA | |||||||||||
| Thu, Feb 26 | ANA | @ | S J | |||||||||||
| Sun, Mar 1 | ANA | @ | BOS | |||||||||||
| Mon, Mar 2 | DAL | @ | ANA | |||||||||||
| Wed, Mar 4 | ANA | @ | LOS | |||||||||||
| Thu, Mar 5 | NAS | @ | ANA | |||||||||||
| Mon, Mar 9 | FLO | @ | ANA | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 12 | EDM | @ | ANA | |||||||||||
| Fri, Mar 13 | ANA | @ | FLO | |||||||||||
| Mon, Mar 16 | ANA | @ | LOS | |||||||||||
| Wed, Mar 18 | LOS | @ | ANA | |||||||||||
| Mon, Mar 23 | NYR | @ | ANA | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,292,500$ | 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 |
| 12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,292,500$ | 3,292,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,996,462$ | 0$ | 2,298,256$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 25,399$ | 1,295,349$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,295,349$ | 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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