![]() | San Diego Gulls 38-31-13, 89pts · 9th 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$/2yrs | |||
Cam Lund | 0 | C | 100.00 | 56 | 40 | 69 | 68 | 75 | 74 | 59 | 64 | 43 | 60 | 61 | 59 | 64 | 51 | 50 | 1 | 50 | 61 | 21 | 1,000,000$/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$/2yrs | |||
Amadeus Lombardi | 0 | C | 100.00 | 56 | 41 | 73 | 66 | 59 | 63 | 62 | 62 | 60 | 62 | 58 | 55 | 62 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/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 | |||
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 | ||||||||||||||||||||||||||
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 | |||
| 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$/3yrs |
Ben Gaudreau | 0 | 100.00 | 62 | 57 | 57 | 61 | 60 | 59 | 59 | 56 | 60 | 59 | 56 | 50 | 50 | 1 | 50 | 54 | 21 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ales Stezka | 0 | 100.00 | 71 | 66 | 67 | 66 | 68 | 68 | 70 | 66 | 68 | 69 | 63 | 56 | 51 | 1 | 50 | 62 | 28 | 975,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 83 | 87 | 81 | 86 | 77 | 69 | 1 | USA | 50 | 4 | 1,000,000$ |
| 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 | 82 | 23 | 35 | 58 | -13 | 28 | 20 | 111 | 181 | 62 | 115 | 12.71% | 47 | 23.90 | 5 | 11 | 16 | 0 | 2 | 2 | 126 | 5 | 2 | 49.26% | 1 | 0 | 0.71 | 2 | 10 | 0.60 | |||
| 2 | Kailer Yamamoto | Gulls (ANA) | C/RW | 82 | 34 | 24 | 58 | -8 | 30 | 10 | 127 | 181 | 41 | 95 | 18.78% | 30 | 21.85 | 11 | 6 | 17 | 1 | 0 | 1 | 97 | 6 | 5 | 54.00% | 0 | 3 | 0.71 | 1 | 8 | 0.63 | |||
| 3 | Alex Kannok Leipert | Gulls (ANA) | D | 74 | 6 | 22 | 28 | 1 | 81 | 15 | 119 | 57 | 28 | 23 | 10.53% | 76 | 26.11 | 2 | 1 | 3 | 1 | 1 | 2 | 103 | 2 | 1 | 100.00% | 0 | 0 | 0.38 | 1 | 1 | 0.19 | |||
| 4 | Anders Bjork | Gulls (ANA) | LW | 82 | 15 | 9 | 24 | -12 | 12 | 0 | 117 | 67 | 28 | 38 | 22.39% | 25 | 19.33 | 6 | 2 | 8 | 0 | 0 | 0 | 84 | 7 | 0 | 46.60% | 0 | 0 | 0.29 | 0 | 0 | 0.23 | |||
| 5 | Arttu Hyry | Gulls (ANA) | RW | 82 | 9 | 14 | 23 | -12 | 47 | 15 | 131 | 57 | 33 | 47 | 15.79% | 41 | 21.24 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 51.00% | 0 | 0 | 0.28 | 2 | 6 | 0.14 | |||
| 6 | Xavier Parent | Gulls (ANA) | C/LW/RW | 82 | 8 | 13 | 21 | -18 | 35 | 5 | 134 | 100 | 24 | 65 | 8.00% | 27 | 19.49 | 0 | 2 | 2 | 1 | 0 | 1 | 37 | 2 | 1 | 35.85% | 0 | 0 | 0.26 | 3 | 10 | 0.16 | |||
| 7 | Andrew Perrott | Gulls (ANA) | D | 82 | 6 | 12 | 18 | -16 | 42 | 0 | 128 | 74 | 18 | 25 | 8.11% | 116 | 26.12 | 2 | 3 | 5 | 0 | 0 | 0 | 99 | 2 | 3 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.14 | |||
| 8 | Zach Solow | Gulls (ANA) | RW | 82 | 9 | 6 | 15 | -14 | 26 | 0 | 111 | 53 | 17 | 33 | 16.98% | 17 | 17.04 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 1 | 3 | 53.85% | 1 | 0 | 0.18 | 2 | 2 | 0.09 | |||
| 9 | Cam Lund | Gulls (ANA) | C | 74 | 9 | 5 | 14 | 1 | 10 | 0 | 75 | 47 | 14 | 31 | 19.15% | 6 | 12.47 | 1 | 0 | 1 | 0 | 0 | 0 | 30 | 5 | 1 | 42.65% | 0 | 0 | 0.19 | 0 | 0 | 0.18 | |||
| 10 | Amadeus Lombardi | Gulls (ANA) | C | 48 | 3 | 10 | 13 | 4 | 0 | 0 | 47 | 36 | 14 | 17 | 8.33% | 4 | 15.64 | 1 | 3 | 4 | 0 | 1 | 1 | 35 | 1 | 1 | 60.78% | 0 | 0 | 0.27 | 1 | 1 | 0.29 | |||
| 11 | Wyatt Bongiovanni | Gulls (ANA) | LW | 82 | 6 | 7 | 13 | -16 | 25 | 15 | 109 | 63 | 24 | 41 | 9.52% | 18 | 17.51 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 44.83% | 0 | 0 | 0.16 | 3 | 7 | 0.08 | |||
| 12 | Atley Calvert | Gulls (ANA) | C | 64 | 4 | 8 | 12 | 2 | 8 | 0 | 52 | 16 | 7 | 8 | 25.00% | 6 | 10.21 | 2 | 1 | 3 | 0 | 0 | 0 | 20 | 1 | 1 | 53.70% | 1 | 0 | 0.19 | 0 | 0 | 0.15 | |||
| 13 | Charlie Wright | Gulls (ANA) | D | 72 | 3 | 9 | 12 | -19 | 15 | 5 | 65 | 31 | 14 | 8 | 9.68% | 39 | 20.95 | 1 | 6 | 7 | 0 | 0 | 0 | 37 | 1 | 1 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.04 | |||
| 14 | Bryan Yoon | Gulls (ANA) | D | 77 | 1 | 7 | 8 | -11 | 8 | 0 | 36 | 14 | 5 | 8 | 7.14% | 44 | 19.59 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 1 | 0 | 33.33% | 0 | 0 | 0.10 | 0 | 1 | 0.03 | |||
| 15 | Riley Stillman | Gulls (ANA) | D | 65 | 2 | 5 | 7 | -1 | 18 | 0 | 37 | 16 | 6 | 7 | 12.50% | 19 | 10.69 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0.11 | 1 | 2 | 0.06 | |||
| 16 | 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 | |||
| 17 | Guillaume Brisebois | Gulls (ANA) | D | 61 | 1 | 3 | 4 | -3 | 9 | 5 | 12 | 14 | 9 | 5 | 7.14% | 15 | 9.17 | 0 | 2 | 2 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 1 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 18 | Owen Beck | Gulls (ANA) | C | 35 | 1 | 3 | 4 | 3 | 0 | 0 | 15 | 19 | 7 | 15 | 5.26% | 4 | 5.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.11 | 0 | 0 | 0.17 | |||
| 19 | Colin Felix | Gulls (ANA) | D | 64 | 1 | 2 | 3 | -3 | 6 | 0 | 34 | 10 | 4 | 1 | 10.00% | 11 | 14.42 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 1 | 0 | 50.00% | 0 | 0 | 0.05 | 0 | 0 | 0.01 | |||
| 20 | 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 | |||
| 21 | Brett Davis | Gulls (ANA) | LW | 76 | 0 | 2 | 2 | 3 | 4 | 0 | 30 | 8 | 1 | 6 | 0.00% | 2 | 6.34 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 26.67% | 0 | 0 | 0.03 | 0 | 0 | 0.03 | |||
| 22 | Christian Felton | Gulls (ANA) | D | 80 | 0 | 0 | 0 | -5 | 4 | 0 | 15 | 4 | 4 | 1 | 0.00% | 4 | 9.54 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| Team Total or Average | 1522 | 143 | 201 | 344 | -140 | 414 | 90 | 1550 | 1062 | 363 | 598 | 13.47% | 558 | 16.51 | 37 | 45 | 82 | 1129 | 3 | 4 | 7 | 937 | 39 | 21 | 49.56% | 3275 | 284 | 388 | 4 | 3 | 0.27 | 16 | 48 |
| 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) | 81 | 38 | 29 | 13 | 0.899 | 1.89 | 4910 | 4 | 13 | 155 | 1542 | 850 | 5 | 3 | 0.615 | 52 | 81 | 0 | 7 | 3 | 2 |
| 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 | 54 | 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 | 28 | 0 | 0 | 0 |
| Team Total or Average | 83 | 38 | 31 | 13 | 0.899 | 1.91 | 4993 | 6 | 13 | 159 | 1582 | 867 | 5 | 3 | 0.615 | 52 | 82 | 82 | 7 | 3 | 2 |
| 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 | |||||
| Cam Lund | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| 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$ | UFA | |||||
| 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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| 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 | 15 | 30 | 82 | 30 | 19 | 217 | 291 | 475 | 113 | 21 | 8 | 24 | 34 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 40.0% | 10.5% | 85.7% | 96.2 | FUN |
| 2 | Bruins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 15 | 30 | 82 | 30 | 36 | 217 | 291 | 475 | 113 | 56 | 23 | 6 | 35 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 8.3% | 94.6% | 103.0 | DULL |
| 3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 15 | 30 | 82 | 30 | 18 | 217 | 291 | 475 | 113 | 28 | 10 | 23 | 38 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 1 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 42.9% | 22.2% | 85.7% | 107.9 | FUN |
| 4 | Heat | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 3 | 8 | 8 | 1.000 | 11 | 17 | 28 | 0 | 1 | 15 | 30 | 82 | 30 | 49 | 217 | 291 | 475 | 113 | 44 | 20 | 12 | 78 | 7 | 4 | 57.14% | 6 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 70.0% | 22.4% | 93.2% | 115.6 | LUCKY |
| 5 | Wolves | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 15 | 30 | 82 | 30 | 20 | 217 | 291 | 475 | 113 | 57 | 15 | 7 | 39 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 25.0% | 20.0% | 89.5% | 109.5 | FUN |
| 6 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 1 | 15 | 30 | 82 | 30 | 29 | 217 | 291 | 475 | 113 | 78 | 38 | 13 | 39 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 1 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 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 | 15 | 30 | 82 | 30 | 89 | 217 | 291 | 475 | 113 | 127 | 40 | 38 | 129 | 13 | 2 | 15.38% | 9 | 6 | 33.33% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 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 | 15 | 30 | 82 | 30 | 23 | 217 | 291 | 475 | 113 | 22 | 11 | 8 | 32 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 20.0% | 4.3% | 81.8% | 86.2 | Unlucky |
| 9 | Stars | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 15 | 30 | 82 | 30 | 24 | 217 | 291 | 475 | 113 | 45 | 13 | 19 | 45 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 16.7% | 86.7% | 103.3 | FUN |
| 10 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 15 | 30 | 82 | 30 | 35 | 217 | 291 | 475 | 113 | 77 | 33 | 18 | 29 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 27.3% | 11.4% | 89.6% | 101.0 | FUN |
| 11 | Condors | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 5 | 0.625 | 6 | 9 | 15 | 0 | 1 | 15 | 30 | 82 | 30 | 47 | 217 | 291 | 475 | 113 | 67 | 20 | 15 | 78 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 42.9% | 12.8% | 92.5% | 105.3 | LUCKY |
| 12 | Checkers 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 2 | 5 | 0 | 1 | 15 | 30 | 82 | 30 | 13 | 217 | 291 | 475 | 113 | 20 | 5 | 6 | 27 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 100.0% | 23.1% | 95.0% | 118.1 | LUCKY |
| 13 | Reign | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 4 | 0.500 | 5 | 6 | 11 | 0 | 1 | 15 | 30 | 82 | 30 | 54 | 217 | 291 | 475 | 113 | 94 | 28 | 12 | 74 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 25.0% | 9.3% | 92.6% | 101.8 | LUCKY |
| 14 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 13 | 21 | 0 | 1 | 15 | 30 | 82 | 30 | 22 | 217 | 291 | 475 | 113 | 15 | 3 | 13 | 33 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 75.0% | 36.4% | 86.7% | 123.0 | FUN |
| 15 | Rocket | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 4 | 8 | 0 | 0 | 15 | 30 | 82 | 30 | 26 | 217 | 291 | 475 | 113 | 27 | 4 | 6 | 38 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 42.9% | 15.4% | 85.2% | 100.6 | FUN |
| 16 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 15 | 30 | 82 | 30 | 14 | 217 | 291 | 475 | 113 | 17 | 6 | 4 | 31 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 14.3% | 88.2% | 102.5 | FUN |
| 17 | Comets | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 1 | 15 | 30 | 82 | 30 | 22 | 217 | 291 | 475 | 113 | 19 | 3 | 10 | 35 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 100.0% | 18.2% | 89.5% | 107.7 | FUN |
| 18 | Islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 3 | 5 | 1 | 1 | 15 | 30 | 82 | 30 | 16 | 217 | 291 | 475 | 113 | 20 | 7 | 4 | 38 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 33.3% | 12.5% | 90.0% | 102.5 | FUN |
| 19 | Wolf Pack | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 3 | 6 | 0 | 1 | 15 | 30 | 82 | 30 | 19 | 217 | 291 | 475 | 113 | 41 | 16 | 14 | 43 | 5 | 2 | 40.00% | 7 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 15.8% | 97.6% | 113.4 | LUCKY |
| 20 | Belleville Senators | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 3 | 6 | 0 | 0 | 15 | 30 | 82 | 30 | 20 | 217 | 291 | 475 | 113 | 54 | 20 | 15 | 32 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 25.0% | 15.0% | 88.9% | 103.9 | FUN |
| 21 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 15 | 30 | 82 | 30 | 14 | 217 | 291 | 475 | 113 | 30 | 10 | 4 | 45 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 28.6% | 93.3% | 121.9 | LUCKY |
| 22 | Roadrunners | 6 | 0 | 2 | 0 | 3 | 0 | 0 | 1 | 15 | 18 | -3 | 7 | 0.583 | 15 | 22 | 37 | 0 | 0 | 15 | 30 | 82 | 30 | 119 | 217 | 291 | 475 | 113 | 124 | 44 | 26 | 107 | 8 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 48.4% | 12.6% | 85.5% | 98.1 | FUN |
| 23 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 15 | 30 | 82 | 30 | 14 | 217 | 291 | 475 | 113 | 50 | 18 | 4 | 42 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 0.0% | 0.0% | 92.0% | 92.0 | DULL |
| 24 | Barracuda | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 5 | 6 | -1 | 4 | 0.500 | 5 | 6 | 11 | 0 | 1 | 15 | 30 | 82 | 30 | 62 | 217 | 291 | 475 | 113 | 51 | 15 | 12 | 67 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 42.9% | 8.1% | 88.2% | 96.3 | Unlucky |
| 25 | Thunderbirds | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 15 | 30 | 82 | 30 | 44 | 217 | 291 | 475 | 113 | 79 | 34 | 12 | 34 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 45.5% | 11.4% | 89.9% | 101.2 | FUN |
| 26 | Crunch | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 6 | 11 | 0 | 0 | 15 | 30 | 82 | 30 | 9 | 217 | 291 | 475 | 113 | 32 | 16 | 6 | 29 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 1 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 66.7% | 55.6% | 90.6% | 146.2 | FUN |
| 27 | Marlies | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 15 | 27 | 0 | 0 | 15 | 30 | 82 | 30 | 47 | 217 | 291 | 475 | 113 | 101 | 49 | 21 | 60 | 11 | 4 | 36.36% | 8 | 3 | 62.50% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 25.5% | 89.1% | 114.6 | FUN |
| 28 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 15 | 30 | 82 | 30 | 25 | 217 | 291 | 475 | 113 | 61 | 21 | 18 | 39 | 3 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 25.0% | 8.0% | 85.2% | 93.2 | Unlucky |
| 29 | Hershey Bears | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 15 | 30 | 82 | 30 | 35 | 217 | 291 | 475 | 113 | 16 | 5 | 6 | 43 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 50.0% | 8.6% | 81.3% | 89.8 | Unlucky |
| 30 | Silver Knights | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 15 | 30 | 82 | 30 | 17 | 217 | 291 | 475 | 113 | 19 | 5 | 2 | 34 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 75.0% | 17.6% | 94.7% | 112.4 | LUCKY |
| 31 | Checkers 2 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 5 | 12 | -7 | 1 | 0.125 | 5 | 6 | 11 | 0 | 0 | 15 | 30 | 82 | 30 | 63 | 217 | 291 | 475 | 113 | 93 | 22 | 38 | 75 | 9 | 2 | 22.22% | 14 | 6 | 57.14% | 0 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 33.3% | 7.9% | 87.1% | 95.0 | Unlucky |
| _Vs Conference | 49 | 14 | 20 | 0 | 5 | 3 | 2 | 5 | 87 | 103 | -16 | 50 | 0.510 | 87 | 130 | 217 | 1 | 8 | 15 | 30 | 82 | 30 | 687 | 217 | 291 | 475 | 113 | 951 | 329 | 258 | 887 | 87 | 21 | 24.14% | 88 | 22 | 75.00% | 1 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 44.9% | 12.7% | 89.2% | 101.8 | FUN | |
| _Since Last GM Reset | 82 | 21 | 31 | 0 | 13 | 7 | 4 | 6 | 144 | 168 | -24 | 89 | 0.543 | 144 | 205 | 349 | 3 | 13 | 15 | 30 | 82 | 30 | 1044 | 217 | 291 | 475 | 113 | 1585 | 562 | 416 | 1502 | 141 | 38 | 26.95% | 148 | 33 | 77.70% | 3 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 44.0% | 13.8% | 89.4% | 103.2 | FUN | |
| Total | 82 | 21 | 31 | 0 | 13 | 7 | 4 | 6 | 144 | 168 | -24 | 89 | 0.543 | 144 | 205 | 349 | 3 | 13 | 15 | 30 | 82 | 30 | 1044 | 217 | 291 | 475 | 113 | 1585 | 562 | 416 | 1502 | 141 | 38 | 26.95% | 148 | 33 | 77.70% | 3 | 515 | 977 | 52.71% | 640 | 1230 | 52.03% | 364 | 734 | 49.59% | 1357 | 447 | 1552 | 916 | 2089 | 1051 | 44.0% | 13.8% | 89.4% | 103.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 977 |
| Neutral Zone Start | 734 |
| Defensive Zone Start | 1230 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1519 |
| Faceoffs Lost | 1422 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 2.6 | 9.57 |
| 2nd Period | 6.2 | 20.31 |
| 3rd Period | 12.0 | 30.68 |
| Overtime | 13.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 1.5 | 2.67 |
| Overtime | 1.9 | 2.83 |
| Even Strenght Goal | 100 |
|---|---|
| PP Goal | 38 |
| PK Goal | 3 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 19 | 19 |
| Lost | 19 | 12 |
| Overtime Lost | 3 | 10 |
| PP Attempt | 141 |
|---|---|
| PP Goal | 38 |
| PK Attempt | 148 |
| PK Goal Against | 33 |
| Home | |
|---|---|
| Shots For | 12.7 |
| Shots Against | 19.3 |
| Goals For | 1.8 |
| Goals Against | 2.0 |
| Hits | 18.3 |
| Shots Blocked | 6.9 |
| Pim | 5.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,490,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Diego | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,490,000$ | 3,490,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 4,307,038$ | 0$ | 3,307,065$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 26,568$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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