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Full Scoreboard »» |
![]() | San Diego Gulls 0-1-0, 0pts · 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 | |||
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$/2yrs | |||
Kasper Halttunen | 0 | RW | 100.00 | 64 | 42 | 65 | 63 | 68 | 58 | 55 | 61 | 42 | 58 | 57 | 56 | 60 | 50 | 50 | 1 | 50 | 58 | 19 | 908,333$/1yrs | |||
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 | |||
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$/1yrs | |||
Charlie Wright | 0 | D | 100.00 | 59 | 40 | 72 | 65 | 63 | 61 | 59 | 55 | 40 | 51 | 51 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/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$/1yrs | |||
Christian Felton | 0 | D | 100.00 | 57 | 40 | 69 | 64 | 62 | 62 | 59 | 53 | 40 | 50 | 50 | 59 | 55 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/3yrs | |||
Carey Terrance (R) | 0 | C | 100.00 | 60 | 43 | 65 | 64 | 63 | 62 | 61 | 60 | 42 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | ||||
Blake Biondi | 0 | C | 100.00 | 59 | 41 | 70 | 60 | 63 | 61 | 58 | 54 | 51 | 50 | 51 | 52 | 55 | 52 | 50 | 1 | 50 | 54 | 24 | 1,000,000$/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$/1yrs | |||
Riley Stillman | 0 | D | 100.00 | 57 | 49 | 59 | 64 | 63 | 68 | 66 | 60 | 40 | 57 | 53 | 61 | 59 | 57 | 50 | 1 | 50 | 59 | 28 | 3,000,000$/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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justus Annunen | 0 | 100.00 | 82 | 83 | 83 | 88 | 85 | 83 | 77 | 82 | 81 | 83 | 78 | 68 | 61 | 1 | 50 | 75 | 26 | 3,500,000$/4yrs |
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$/1yrs |
| Scratches | ||||||||||||||||||||
Cal Petersen | 0 | 100.00 | 71 | 71 | 74 | 60 | 69 | 69 | 71 | 68 | 69 | 71 | 66 | 65 | 58 | 1 | 50 | 63 | 31 | 1,800,000$/2yrs |
Ales Stezka | 0 | 100.00 | 71 | 66 | 67 | 66 | 68 | 68 | 70 | 66 | 68 | 69 | 63 | 56 | 51 | 1 | 50 | 62 | 29 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Manny Malhotra | 73 | 68 | 66 | 70 | 57 | 53 | 1 | CAN | 45 | 4 | 1,000,000$ |
| 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 | 1 | 1 | 1 | 2 | -1 | 0 | 0 | 4 | 3 | 0 | 0 | 33.33% | 0 | 21.35 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2.00 | 0 | 0 | 1.32 | |||
| 2 | Alex Kannok Leipert | Gulls (ANA) | D | 1 | 0 | 1 | 1 | -3 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 2 | 27.35 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | -0.33 | |||
| 3 | Cam Atkinson | Gulls (ANA) | LW/RW | 1 | 1 | 0 | 1 | -3 | 0 | 0 | 3 | 2 | 0 | 0 | 50.00% | 0 | 24.13 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 48.00% | 0 | 0 | 1.00 | 0 | 0 | -0.19 | |||
| 4 | Amadeus Lombardi | Gulls (ANA) | C | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 2 | 1 | 0.00% | 1 | 14.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.53 | |||
| 5 | Bryan Yoon | Gulls (ANA) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 21.10 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
| 6 | Colin Felix | Gulls (ANA) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 14.43 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 7 | Denver Barkey | Gulls (ANA) | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 0 | 2 | 0.00% | 0 | 22.42 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 8 | Anders Bjork | Gulls (ANA) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 0 | 16.88 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | |||
| 9 | Stephen Halliday | Gulls (ANA) | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 11.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| 10 | Atley Calvert | Gulls (ANA) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 11 | Bradly Nadeau | Gulls (ANA) | LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 10.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.35 | |||
| 12 | Charlie Wright | Gulls (ANA) | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 21.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.35 | |||
| 13 | Christian Felton | Gulls (ANA) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 14 | Kasper Halttunen | Gulls (ANA) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 15 | Zach Solow | Gulls (ANA) | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.15 | |||
| 16 | Andrew Perrott | Gulls (ANA) | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 0 | 0 | 0 | 0.00% | 2 | 26.55 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.80 | |||
| 17 | Wyatt Bongiovanni | Gulls (ANA) | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 18.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.19 | |||
| 18 | Xavier Parent | Gulls (ANA) | C/LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 2 | 1 | 1 | 0.00% | 0 | 21.02 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.52 | |||
| Team Total or Average | 18 | 2 | 2 | 4 | -10 | 4 | 0 | 32 | 15 | 3 | 6 | 13.33% | 7 | 16.44 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 41.03% | 39 | 3 | 1 | 0 | 0 | 0.27 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Justus Annunen | Gulls (ANA) | 1 | 0 | 1 | 0 | 0.833 | 2.03 | 59 | 0 | 0 | 2 | 12 | 4 | 0 | 1 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 1 | 0 | 1 | 0 | 0.833 | 2.03 | 59 | 0 | 0 | 2 | 12 | 4 | 0 | 1 | 0.000 | 0 | 1 | 0 | 0 | 0 | 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 | 920,000$ | 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 | ||||||
| Justus Annunen | G | 26 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
| Kasper Halttunen | RW | 19 | 908,333$ | 975,000$ | RFA | ||||||
| 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 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 15 | 5 | 6 | 4 | 0 | 13 | 7 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 8 | 18 | 44.44% | 5 | 12 | 41.67% | 3 | 9 | 33.33% | 16 | 5 | 18 | 11 | 25 | 12 | 25.0% | 13.3% | 76.9% | 90.3 | FUN |
| _Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 15 | 5 | 6 | 4 | 0 | 13 | 7 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 8 | 18 | 44.44% | 5 | 12 | 41.67% | 3 | 9 | 33.33% | 16 | 5 | 18 | 11 | 25 | 12 | 25.0% | 13.3% | 76.9% | 90.3 | FUN | |
| _Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 15 | 5 | 6 | 4 | 0 | 13 | 7 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 8 | 18 | 44.44% | 5 | 12 | 41.67% | 3 | 9 | 33.33% | 16 | 5 | 18 | 11 | 25 | 12 | 25.0% | 13.3% | 76.9% | 90.3 | FUN | |
| Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 15 | 5 | 6 | 4 | 0 | 13 | 7 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 8 | 18 | 44.44% | 5 | 12 | 41.67% | 3 | 9 | 33.33% | 16 | 5 | 18 | 11 | 25 | 12 | 25.0% | 13.3% | 76.9% | 90.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 18 |
| Neutral Zone Start | 9 |
| Defensive Zone Start | 12 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 16 |
| Faceoffs Lost | 23 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.0 | 9.57 |
| 2nd Period | 11.0 | 20.31 |
| 3rd Period | 15.0 | 30.68 |
| Overtime | 15.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 1 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 1 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 2 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 15.0 |
| Shots Against | 13.0 |
| Goals For | 2.0 |
| Goals Against | 3.0 |
| Hits | 32.0 |
| Shots Blocked | 7.0 |
| Pim | 4.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | ANA | @ | CHI | ANA2,CHI3 | RECAP | |||||||||
| Tue, Oct 13 | COL | @ | ANA | |||||||||||
| Thu, Oct 15 | PHI | @ | ANA | |||||||||||
| Sat, Oct 17 | CAL | @ | ANA | |||||||||||
| Sun, Oct 18 | ANA | @ | BOS | |||||||||||
| Tue, Oct 20 | ANA | @ | NYI | |||||||||||
| Thu, Oct 22 | ANA | @ | EDM | |||||||||||
| Sat, Oct 24 | EDM | @ | ANA | |||||||||||
| Mon, Oct 26 | ANA | @ | LOS | |||||||||||
| Wed, Oct 28 | LOS | @ | ANA | |||||||||||
| Fri, Oct 30 | MIN | @ | ANA | |||||||||||
| Sun, Nov 1 | ANA | @ | EDM | |||||||||||
| Tue, Nov 3 | ANA | @ | PHI | |||||||||||
| Thu, Nov 5 | PHO | @ | ANA | |||||||||||
| 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 |
| 4,015,000$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,015,000$ | 4,015,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 61,914$ | 0$ | 49,568$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 183 | 30,957$ | 4,953,120$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,953,120$ | 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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