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Full Scoreboard »» |
![]() | San Diego Gulls 13-14-5, 31pts · 10th 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 | 98.00 | 61 | 48 | 81 | 75 | 67 | 79 | 86 | 73 | 43 | 68 | 67 | 65 | 72 | 88 | 78 | 1 | 50 | 69 | 36 | 3,500,000$/2yrs | |||
Kailer Yamamoto | 0 | C/RW | 98.00 | 61 | 44 | 73 | 80 | 58 | 74 | 73 | 68 | 49 | 67 | 64 | 68 | 71 | 78 | 57 | 1 | 50 | 67 | 26 | 4,000,000$/4yrs | |||
Arttu Hyry | 0 | RW | 98.00 | 64 | 41 | 68 | 62 | 64 | 63 | 62 | 63 | 56 | 61 | 61 | 64 | 62 | 51 | 50 | 1 | 50 | 61 | 24 | 1,000,000$/2yrs | |||
Owen Beck (R) | 0 | C | 100.00 | 62 | 42 | 62 | 65 | 62 | 61 | 60 | 62 | 55 | 62 | 58 | 62 | 62 | 50 | 50 | 1 | 50 | 60 | 21 | 853,333$/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$/3yrs | |||
Xavier Parent | 0 | C/LW/RW | 98.00 | 54 | 45 | 64 | 69 | 55 | 66 | 64 | 63 | 44 | 61 | 58 | 54 | 63 | 52 | 50 | 1 | 50 | 59 | 24 | 1,500,000$/3yrs | |||
Anders Bjork | 0 | LW | 98.00 | 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 | |||
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 | |||
Alex Kannok Leipert | 0 | D | 98.00 | 61 | 53 | 59 | 65 | 64 | 64 | 62 | 58 | 40 | 52 | 53 | 62 | 59 | 52 | 50 | 1 | 50 | 59 | 24 | 1,000,000$/2yrs | |||
Andrew Perrott | 0 | D | 98.00 | 63 | 44 | 63 | 65 | 66 | 59 | 57 | 55 | 40 | 51 | 52 | 64 | 57 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/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 | 98.00 | 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 | ||||||||||||||||||||||||||
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$/3yrs | |||
Guillaume Brisebois | 0 | D | 100.00 | 56 | 41 | 71 | 66 | 60 | 66 | 64 | 56 | 40 | 51 | 52 | 63 | 58 | 55 | 50 | 1 | 50 | 59 | 27 | 1,200,000$/2yrs | |||
| 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 | 95.00 | 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 | Cam Atkinson | Gulls (ANA) | LW/RW | 32 | 9 | 16 | 25 | 2 | 23 | 15 | 44 | 84 | 27 | 53 | 10.71% | 19 | 23.94 | 0 | 3 | 3 | 0 | 1 | 1 | 56 | 1 | 1 | 49.47% | 0 | 0 | 0.78 | 1 | 4 | 0.70 | |||
| 2 | Kailer Yamamoto | Gulls (ANA) | C/RW | 32 | 15 | 9 | 24 | -1 | 16 | 0 | 39 | 84 | 14 | 43 | 17.86% | 16 | 21.83 | 6 | 0 | 6 | 1 | 0 | 1 | 32 | 2 | 1 | 56.14% | 0 | 2 | 0.75 | 0 | 4 | 0.70 | |||
| 3 | Anders Bjork | Gulls (ANA) | LW | 32 | 8 | 3 | 11 | -3 | 2 | 0 | 41 | 29 | 14 | 17 | 27.59% | 9 | 18.93 | 4 | 0 | 4 | 0 | 0 | 0 | 38 | 3 | 0 | 52.20% | 0 | 0 | 0.34 | 0 | 0 | 0.31 | |||
| 4 | Arttu Hyry | Gulls (ANA) | RW | 32 | 6 | 5 | 11 | -6 | 13 | 5 | 37 | 25 | 14 | 23 | 24.00% | 15 | 20.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 49.50% | 0 | 0 | 0.34 | 1 | 4 | 0.20 | |||
| 5 | Alex Kannok Leipert | Gulls (ANA) | D | 24 | 1 | 9 | 10 | 4 | 12 | 0 | 36 | 15 | 6 | 7 | 6.67% | 24 | 25.23 | 1 | 1 | 2 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.35 | |||
| 6 | Atley Calvert | Gulls (ANA) | C | 19 | 1 | 6 | 7 | 3 | 4 | 0 | 30 | 6 | 1 | 4 | 16.67% | 3 | 14.66 | 0 | 1 | 1 | 0 | 0 | 0 | 16 | 1 | 0 | 56.32% | 0 | 0 | 0.37 | 0 | 0 | 0.32 | |||
| 7 | Andrew Perrott | Gulls (ANA) | D | 32 | 2 | 5 | 7 | -6 | 24 | 0 | 48 | 25 | 7 | 7 | 8.00% | 44 | 24.71 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.09 | |||
| 8 | Xavier Parent | Gulls (ANA) | C/LW/RW | 32 | 3 | 4 | 7 | -9 | 27 | 5 | 56 | 46 | 10 | 29 | 6.52% | 8 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 38.10% | 0 | 0 | 0.22 | 1 | 4 | 0.07 | |||
| 9 | Riley Stillman | Gulls (ANA) | D | 21 | 1 | 5 | 6 | -2 | 18 | 0 | 31 | 15 | 6 | 7 | 6.67% | 18 | 22.58 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 1 | 0.13 | |||
| 10 | Wyatt Bongiovanni | Gulls (ANA) | LW | 32 | 2 | 4 | 6 | -9 | 5 | 5 | 39 | 31 | 9 | 24 | 6.45% | 5 | 17.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.19 | 1 | 2 | 0.11 | |||
| 11 | Charlie Wright | Gulls (ANA) | D | 22 | 0 | 5 | 5 | -4 | 4 | 0 | 13 | 8 | 5 | 3 | 0.00% | 11 | 19.47 | 0 | 3 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.10 | |||
| 12 | Blake Biondi | Gulls (ANA) | C | 29 | 2 | 2 | 4 | 0 | 4 | 0 | 13 | 6 | 1 | 3 | 33.33% | 4 | 7.31 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 50.00% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
| 13 | Guillaume Brisebois | Gulls (ANA) | D | 23 | 1 | 3 | 4 | -3 | 9 | 5 | 12 | 14 | 9 | 5 | 7.14% | 15 | 21.64 | 0 | 2 | 2 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 1 | 0 | 0.17 | 0 | 0 | 0.07 | |||
| 14 | Owen Beck | Gulls (ANA) | C | 29 | 1 | 3 | 4 | 3 | 0 | 0 | 13 | 19 | 7 | 15 | 5.26% | 4 | 5.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 0 | 0 | 0.14 | 0 | 0 | 0.21 | |||
| 15 | Cade Borchardt | Gulls (ANA) | C/LW/RW | 29 | 0 | 3 | 3 | -2 | 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 | 0.08 | |||
| 16 | Colin Felix | Gulls (ANA) | D | 14 | 1 | 1 | 2 | 0 | 2 | 0 | 9 | 2 | 0 | 0 | 50.00% | 3 | 13.55 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.09 | |||
| 17 | Zach Solow | Gulls (ANA) | RW | 32 | 2 | 0 | 2 | -4 | 8 | 0 | 43 | 20 | 6 | 10 | 10.00% | 5 | 15.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 80.00% | 0 | 0 | 0.06 | 1 | 1 | 0.03 | |||
| 18 | Bryan Yoon | Gulls (ANA) | D | 27 | 1 | 0 | 1 | -1 | 0 | 0 | 7 | 5 | 2 | 4 | 20.00% | 16 | 17.97 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | 0.04 | |||
| 19 | Brett Davis | Gulls (ANA) | LW | 30 | 0 | 1 | 1 | 1 | 2 | 0 | 8 | 0 | 0 | 3 | 0.00% | 1 | 4.69 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 40.00% | 0 | 0 | 0.03 | 0 | 0 | 0.03 | |||
| 20 | Christian Felton | Gulls (ANA) | D | 30 | 0 | 0 | 0 | -4 | 0 | 0 | 5 | 4 | 3 | 0 | 0.00% | 1 | 8.64 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| Team Total or Average | 553 | 56 | 84 | 140 | -41 | 173 | 35 | 552 | 445 | 142 | 263 | 12.58% | 224 | 16.72 | 12 | 13 | 25 | 460 | 1 | 1 | 2 | 389 | 11 | 5 | 50.60% | 1249 | 120 | 158 | 1 | 2 | 0.30 | 5 | 20 |
| 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) | 32 | 13 | 13 | 5 | 0.894 | 2.15 | 1928 | 2 | 1 | 69 | 648 | 361 | 3 | 2 | 0.708 | 24 | 32 | 0 | 1 | 1 | 0 |
| 2 | Ben Gaudreau | Gulls (ANA) | 1 | 0 | 1 | 0 | 0.714 | 5.46 | 22 | 0 | 0 | 2 | 7 | 3 | 0 | 0 | 0.000 | 0 | 0 | 23 | 0 | 0 | 0 |
| Team Total or Average | 33 | 13 | 14 | 5 | 0.892 | 2.18 | 1951 | 2 | 1 | 71 | 655 | 364 | 3 | 2 | 0.708 | 24 | 32 | 23 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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$ | ||||||
| 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 | |||
| Owen Beck | C | 21 | 853,333$ | 975,000$ | 975,000$ | RFA | |||||
| 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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| Goalies | |||||||
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 19 | 30 | 13 | 15 | 109 | 144 | 203 | 42 | 31 | 13 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 0.0% | 0.0% | 93.5% | 93.5 | DULL |
| 2 | Americans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 6 | 19 | 30 | 13 | 11 | 109 | 144 | 203 | 42 | 18 | 8 | 4 | 14 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 1 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 60.0% | 36.4% | 88.9% | 125.3 | FUN |
| 3 | Heat | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 6 | 19 | 30 | 13 | 35 | 109 | 144 | 203 | 42 | 23 | 13 | 8 | 36 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 66.7% | 20.0% | 91.3% | 111.3 | LUCKY |
| 4 | Wolves | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 6 | 19 | 30 | 13 | 11 | 109 | 144 | 203 | 42 | 27 | 8 | 2 | 18 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 66.7% | 18.2% | 96.3% | 114.5 | LUCKY |
| 5 | Eagles | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 11 | -7 | 1 | 0.125 | 4 | 6 | 10 | 1 | 0 | 6 | 19 | 30 | 13 | 60 | 109 | 144 | 203 | 42 | 96 | 30 | 27 | 91 | 9 | 1 | 11.11% | 6 | 4 | 33.33% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 30.0% | 6.7% | 88.5% | 95.2 | Unlucky |
| 6 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 19 | 30 | 13 | 7 | 109 | 144 | 203 | 42 | 15 | 9 | 17 | 18 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 50.0% | 14.3% | 80.0% | 94.3 | FUN |
| 7 | Griffins | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 6 | 19 | 30 | 13 | 24 | 109 | 144 | 203 | 42 | 37 | 17 | 11 | 15 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 50.0% | 16.7% | 91.9% | 108.6 | LUCKY |
| 8 | Condors | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 6 | 19 | 30 | 13 | 12 | 109 | 144 | 203 | 42 | 20 | 10 | 4 | 17 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 0.0% | 16.7% | 85.0% | 101.7 | FUN |
| 9 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 6 | 19 | 30 | 13 | 10 | 109 | 144 | 203 | 42 | 6 | 1 | 7 | 14 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 66.7% | 60.0% | 66.7% | 126.7 | FUN |
| 10 | Rocket | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 6 | 19 | 30 | 13 | 19 | 109 | 144 | 203 | 42 | 14 | 3 | 4 | 20 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 66.7% | 10.5% | 92.9% | 103.4 | LUCKY |
| 11 | Comets | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 1 | 6 | 19 | 30 | 13 | 22 | 109 | 144 | 203 | 42 | 19 | 3 | 10 | 35 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 100.0% | 18.2% | 89.5% | 107.7 | FUN |
| 12 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 6 | 19 | 30 | 13 | 9 | 109 | 144 | 203 | 42 | 27 | 7 | 6 | 16 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 25.0% | 11.1% | 88.9% | 100.0 | FUN |
| 13 | Roadrunners | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 11 | 14 | -3 | 4 | 0.500 | 11 | 18 | 29 | 0 | 0 | 6 | 19 | 30 | 13 | 95 | 109 | 144 | 203 | 42 | 93 | 33 | 18 | 77 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 45.8% | 11.6% | 84.9% | 96.5 | FUN |
| 14 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 6 | 19 | 30 | 13 | 6 | 109 | 144 | 203 | 42 | 17 | 5 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 0.0% | 0.0% | 88.2% | 88.2 | Unlucky |
| 15 | Barracuda | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 4 | 7 | 0 | 0 | 6 | 19 | 30 | 13 | 49 | 109 | 144 | 203 | 42 | 43 | 13 | 12 | 52 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 33.3% | 6.1% | 86.0% | 92.2 | Unlucky |
| 16 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 19 | 30 | 13 | 19 | 109 | 144 | 203 | 42 | 40 | 17 | 10 | 15 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 33.3% | 5.3% | 92.5% | 97.8 | DULL |
| 17 | Crunch | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 6 | 19 | 30 | 13 | 3 | 109 | 144 | 203 | 42 | 17 | 9 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 60.0% | 100.0% | 88.2% | 188.2 | FUN |
| 18 | Marlies | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 6 | 19 | 30 | 13 | 13 | 109 | 144 | 203 | 42 | 34 | 14 | 7 | 24 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 60.0% | 30.8% | 91.2% | 121.9 | LUCKY |
| 19 | Silver Knights | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 6 | 19 | 30 | 13 | 9 | 109 | 144 | 203 | 42 | 16 | 5 | 2 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 66.7% | 22.2% | 93.8% | 116.0 | LUCKY |
| 20 | Checkers 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 6 | 19 | 30 | 13 | 45 | 109 | 144 | 203 | 42 | 64 | 16 | 26 | 51 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 28.6% | 6.7% | 85.9% | 92.6 | Unlucky |
| _Vs Conference | 22 | 2 | 11 | 0 | 3 | 2 | 2 | 2 | 44 | 57 | -13 | 18 | 0.409 | 44 | 65 | 109 | 1 | 0 | 6 | 19 | 30 | 13 | 365 | 109 | 144 | 203 | 42 | 453 | 164 | 142 | 404 | 47 | 11 | 23.40% | 50 | 14 | 72.00% | 0 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 43.4% | 12.1% | 87.4% | 99.5 | FUN | |
| _Since Last GM Reset | 32 | 4 | 14 | 0 | 7 | 3 | 2 | 2 | 64 | 75 | -11 | 31 | 0.484 | 64 | 93 | 157 | 2 | 1 | 6 | 19 | 30 | 13 | 474 | 109 | 144 | 203 | 42 | 657 | 234 | 181 | 576 | 60 | 14 | 23.33% | 68 | 17 | 75.00% | 1 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 46.3% | 13.5% | 88.6% | 102.1 | FUN | |
| Total | 32 | 4 | 14 | 0 | 7 | 3 | 2 | 2 | 64 | 75 | -11 | 31 | 0.484 | 64 | 93 | 157 | 2 | 1 | 6 | 19 | 30 | 13 | 474 | 109 | 144 | 203 | 42 | 657 | 234 | 181 | 576 | 60 | 14 | 23.33% | 68 | 17 | 75.00% | 1 | 225 | 426 | 52.82% | 247 | 495 | 49.90% | 167 | 310 | 53.87% | 541 | 190 | 613 | 356 | 797 | 399 | 46.3% | 13.5% | 88.6% | 102.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 426 |
| Neutral Zone Start | 310 |
| Defensive Zone Start | 495 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 639 |
| Faceoffs Lost | 592 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.4 | 9.57 |
| 2nd Period | 7.9 | 20.31 |
| 3rd Period | 14.3 | 30.68 |
| Overtime | 15.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 1.7 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 47 |
|---|---|
| PP Goal | 14 |
| PK Goal | 1 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 6 | 7 |
| Lost | 8 | 6 |
| Overtime Lost | 1 | 4 |
| PP Attempt | 60 |
|---|---|
| PP Goal | 14 |
| PK Attempt | 68 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 14.8 |
| Shots Against | 20.5 |
| Goals For | 2.0 |
| Goals Against | 2.3 |
| Hits | 18.0 |
| Shots Blocked | 7.3 |
| 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 | |||||||||||
| Thu, Dec 11 | ANA | @ | PIT | |||||||||||
| Sun, Dec 14 | ANA | @ | CLB | |||||||||||
| Mon, Dec 15 | VAN | @ | ANA | |||||||||||
| Wed, Dec 17 | ANA | @ | NAS | |||||||||||
| Thu, Dec 18 | TOR | @ | ANA | |||||||||||
| Mon, Dec 22 | ANA | @ | OTT | |||||||||||
| Tue, Dec 23 | COL | @ | ANA | |||||||||||
| Thu, Dec 25 | ANA | @ | COL | |||||||||||
| Sat, Dec 27 | BUF | @ | ANA | |||||||||||
| Mon, Dec 29 | ANA | @ | VAN | |||||||||||
| Wed, Dec 31 | ANA | @ | WPG | |||||||||||
| Thu, Jan 1 | CHI | @ | ANA | |||||||||||
| Sun, Jan 4 | ANA | @ | DAL | |||||||||||
| Mon, Jan 5 | TOR | @ | ANA | |||||||||||
| Thu, Jan 8 | ANA | @ | DET | |||||||||||
| Fri, Jan 9 | LOS | @ | ANA | |||||||||||
| Mon, Jan 12 | ANA | @ | WAS | |||||||||||
| Tue, Jan 13 | TAM | @ | ANA | |||||||||||
| Fri, Jan 16 | ANA | @ | CAL | |||||||||||
| Sat, Jan 17 | CLB | @ | ANA | |||||||||||
| Tue, Jan 20 | ANA | @ | CHI | |||||||||||
| Wed, Jan 21 | PHO | @ | ANA | |||||||||||
| Sun, Jan 25 | WPG | @ | ANA | |||||||||||
| Mon, Jan 26 | ANA | @ | PHI | |||||||||||
| Thu, Jan 29 | PHI | @ | ANA | |||||||||||
| Fri, Jan 30 | ANA | @ | PHO | |||||||||||
| Sun, Feb 1 | CHI | @ | ANA | |||||||||||
| 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 |
| 26 | 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 |
|---|---|---|---|
| 1,555,109$ | 0$ | 1,194,172$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 25,399$ | 2,743,092$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,743,092$ | 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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