***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eeli Tolvanen (A) | 11 | LW/RW | 99.00 | 78 | 40 | 88 | 69 | 78 | 69 | 84 | 65 | 52 | 72 | 70 | 71 | 54 | 59 | 58 | 0 | 50 | 73 | 24 | 1,450,000$/2yrs | |||
Andrew Ladd (C) | 11 | C | 99.00 | 63 | 62 | 72 | 63 | 72 | 66 | 65 | 58 | 54 | 64 | 60 | 67 | 56 | 82 | 82 | 0 | 50 | 67 | 38 | 5,500,000$/1yrs | |||
Ondrej Kase | 73 | RW | 99.00 | 64 | 40 | 84 | 62 | 73 | 68 | 65 | 56 | 51 | 63 | 58 | 64 | 60 | 62 | 58 | 0 | 50 | 65 | 28 | 1,500,000$/1yrs | |||
Curtis McKenzie | 0 | C/LW | 99.00 | 56 | 59 | 62 | 63 | 67 | 68 | 66 | 62 | 55 | 60 | 61 | 64 | 54 | 72 | 63 | 0 | 50 | 65 | 33 | 775,000$/1yrs | |||
Nils Aman (R) | 0 | C | 100.00 | 62 | 41 | 78 | 61 | 63 | 61 | 67 | 56 | 59 | 66 | 56 | 67 | 51 | 53 | 54 | 0 | 50 | 64 | 24 | 925,000$/4yrs | |||
Michael Mersch | 0 | RW | 100.00 | 55 | 59 | 66 | 61 | 68 | 66 | 64 | 61 | 55 | 59 | 61 | 60 | 54 | 70 | 62 | 0 | 50 | 64 | 31 | 775,000$/1yrs | |||
Rhett Gardner | 37 | C | 100.00 | 56 | 56 | 63 | 59 | 71 | 67 | 66 | 60 | 70 | 59 | 57 | 65 | 55 | 63 | 58 | 0 | 50 | 64 | 28 | 750,000$/3yrs | |||
Steven Fogarty | 39 | C | 100.00 | 56 | 58 | 64 | 61 | 68 | 66 | 65 | 61 | 55 | 60 | 60 | 61 | 56 | 69 | 61 | 0 | 50 | 64 | 30 | 762,500$/2yrs | |||
Brett Seney | 8 | LW | 100.00 | 60 | 50 | 71 | 58 | 54 | 65 | 61 | 58 | 54 | 60 | 60 | 61 | 54 | 61 | 58 | 0 | 50 | 63 | 28 | 750,000$/2yrs | |||
Bobby McMann | 72 | C | 100.00 | 58 | 56 | 69 | 62 | 70 | 63 | 60 | 58 | 54 | 58 | 60 | 62 | 54 | 62 | 58 | 0 | 50 | 63 | 27 | 762,500$/4yrs | |||
Cooper Marody | 18 | RW | 100.00 | 55 | 58 | 65 | 59 | 61 | 63 | 62 | 61 | 55 | 59 | 60 | 63 | 54 | 63 | 58 | 0 | 50 | 63 | 27 | 762,500$/2yrs | |||
Greg Printz | 0 | C/LW | 100.00 | 56 | 54 | 63 | 58 | 70 | 66 | 65 | 57 | 55 | 56 | 57 | 59 | 54 | 60 | 56 | 0 | 50 | 62 | 25 | 750,000$/1yrs | |||
Tristin Langan | 0 | C | 100.00 | 66 | 37 | 95 | 56 | 75 | 67 | 60 | 53 | 61 | 54 | 55 | 56 | 54 | 64 | 66 | 0 | 50 | 62 | 25 | 775,000$/1yrs | |||
Turner Ottenbreit | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 65 | 66 | 64 | 56 | 40 | 56 | 56 | 63 | 54 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Cameron Gaunce | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 64 | 64 | 63 | 56 | 40 | 56 | 55 | 61 | 54 | 74 | 64 | 0 | 50 | 62 | 34 | 750,000$/1yrs | |||
Yanni Kaldis | 77 | D | 100.00 | 55 | 58 | 66 | 58 | 61 | 64 | 62 | 58 | 40 | 58 | 56 | 60 | 54 | 65 | 59 | 0 | 50 | 62 | 28 | 750,000$/1yrs | |||
Seth Helgeson | 0 | D | 100.00 | 57 | 54 | 60 | 57 | 71 | 68 | 67 | 55 | 40 | 56 | 54 | 60 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 775,000$/1yrs | |||
Declan Carlile | 0 | D | 100.00 | 55 | 56 | 66 | 57 | 64 | 64 | 62 | 57 | 40 | 56 | 56 | 65 | 54 | 56 | 54 | 0 | 50 | 62 | 23 | 925,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Kristian Reichel (R) | 88 | C | 100.00 | 55 | 57 | 67 | 59 | 62 | 64 | 63 | 57 | 55 | 56 | 56 | 60 | 55 | 60 | 56 | 0 | 50 | 61 | 25 | 775,000$/2yrs | |||
Alex Turcotte | 0 | C | 100.00 | 55 | 53 | 68 | 57 | 62 | 60 | 59 | 56 | 59 | 56 | 56 | 62 | 54 | 55 | 53 | 0 | 50 | 60 | 23 | 2,444,167$/2yrs | |||
Jake Wise (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 58 | 51 | 51 | 51 | 52 | 51 | 51 | 58 | 51 | 54 | 51 | 0 | 50 | 55 | 24 | 750,000$/1yrs | |||
Connor Hvidston (R) | 0 | C/LW | 100.00 | 51 | 51 | 65 | 51 | 55 | 52 | 52 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 50 | 55 | 19 | 750,000$/1yrs | |||
Matthew Mackie Samoskevich (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 59 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 925,000$/4yrs | |||
Eddie Wittchow | 0 | D | 88.34 | 57 | 55 | 62 | 58 | 73 | 64 | 63 | 55 | 45 | 55 | 55 | 61 | 54 | 70 | 62 | 0 | 50 | 62 | 31 | 750,000$/1yrs | |||
Nikolas Brouillard | 65 | D | 100.00 | 57 | 55 | 59 | 61 | 52 | 67 | 67 | 60 | 40 | 59 | 57 | 57 | 54 | 65 | 59 | 0 | 50 | 62 | 29 | 775,000$/2yrs | |||
Kristians Rubins (R) (A) | 9 | D | 100.00 | 55 | 54 | 66 | 57 | 74 | 64 | 62 | 55 | 40 | 55 | 55 | 61 | 54 | 62 | 57 | 0 | 50 | 61 | 26 | 750,000$/1yrs | |||
Daniil Chayka | 0 | D | 100.00 | 51 | 51 | 65 | 53 | 59 | 62 | 60 | 52 | 38 | 52 | 52 | 53 | 51 | 51 | 49 | 0 | 50 | 56 | 21 | 880,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matthew Berlin | 0 | 98.00 | 67 | 52 | 52 | 80 | 58 | 63 | 52 | 68 | 62 | 52 | 53 | 52 | 52 | 0 | 50 | 61 | 26 | 775,000$/1yrs |
Taylor Gauthier | 0 | 100.00 | 54 | 56 | 56 | 64 | 63 | 52 | 64 | 56 | 54 | 54 | 56 | 51 | 48 | 0 | 50 | 58 | 23 | 925,000$/3yrs |
| Scratches | ||||||||||||||||||||
Jacob Kucharski | 0 | 100.00 | 51 | 51 | 51 | 68 | 57 | 51 | 51 | 51 | 52 | 55 | 62 | 55 | 51 | 0 | 50 | 54 | 24 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Haley Wickenheiser | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 45 | 5 | 0$ |
| 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 | Andrew Ladd | Gulls (ANA) | C | 76 | 32 | 47 | 79 | 13 | 59 | 15 | 103 | 277 | 60 | 175 | 11.55% | 19 | 19.62 | 10 | 15 | 25 | 0 | 0 | 0 | 157 | 6 | 0 | 51.40% | 0 | 1 | 1.04 | 1 | 6 | 0.96 | |||
| 2 | Ondrej Kase | Gulls (ANA) | RW | 79 | 27 | 50 | 77 | 11 | 22 | 0 | 90 | 248 | 80 | 172 | 10.89% | 18 | 18.65 | 6 | 16 | 22 | 1 | 0 | 1 | 108 | 2 | 0 | 47.06% | 0 | 1 | 0.97 | 3 | 7 | 0.98 | |||
| 3 | Brett Seney | Gulls (ANA) | LW | 82 | 24 | 41 | 65 | -13 | 38 | 0 | 144 | 232 | 73 | 178 | 10.34% | 19 | 18.69 | 7 | 18 | 25 | 0 | 0 | 0 | 130 | 2 | 2 | 48.77% | 0 | 0 | 0.79 | 0 | 0 | 0.71 | |||
| 4 | Eeli Tolvanen | Gulls (ANA) | LW/RW | 37 | 32 | 32 | 64 | 15 | 42 | 0 | 94 | 218 | 49 | 175 | 14.68% | 20 | 22.96 | 5 | 8 | 13 | 0 | 1 | 1 | 102 | 4 | 2 | 47.55% | 0 | 1 | 1.73 | 0 | 1 | 1.74 | |||
| 5 | Cooper Marody | Gulls (ANA) | RW | 82 | 21 | 39 | 60 | 14 | 37 | 5 | 94 | 223 | 66 | 142 | 9.42% | 18 | 14.14 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 3 | 1 | 44.33% | 0 | 0 | 0.73 | 0 | 0 | 0.75 | |||
| 6 | Rhett Gardner | Gulls (ANA) | C | 82 | 23 | 32 | 55 | 1 | 48 | 0 | 106 | 192 | 67 | 162 | 11.98% | 19 | 15.57 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 1 | 2 | 53.34% | 0 | 0 | 0.67 | 1 | 2 | 0.61 | |||
| 7 | Curtis McKenzie | Gulls (ANA) | C/LW | 82 | 23 | 32 | 55 | -14 | 26 | 0 | 144 | 313 | 92 | 210 | 7.35% | 22 | 19.72 | 5 | 8 | 13 | 1 | 0 | 1 | 230 | 2 | 0 | 47.34% | 0 | 0 | 0.67 | 2 | 6 | 0.73 | |||
| 8 | Michael Mersch | Gulls (ANA) | RW | 82 | 27 | 27 | 54 | -23 | 30 | 0 | 106 | 269 | 65 | 178 | 10.04% | 14 | 16.84 | 7 | 7 | 14 | 0 | 1 | 1 | 51 | 3 | 2 | 46.85% | 0 | 2 | 0.66 | 0 | 1 | 0.62 | |||
| 9 | Nils Aman | Gulls (ANA) | C | 65 | 8 | 40 | 48 | -5 | 28 | 0 | 102 | 175 | 41 | 119 | 4.57% | 28 | 19.94 | 2 | 9 | 11 | 0 | 1 | 1 | 160 | 1 | 0 | 49.07% | 0 | 0 | 0.74 | 2 | 3 | 0.64 | |||
| 10 | Declan Carlile | Gulls (ANA) | D | 81 | 14 | 33 | 47 | 6 | 62 | 0 | 137 | 101 | 25 | 65 | 13.86% | 126 | 18.14 | 4 | 4 | 8 | 0 | 1 | 1 | 169 | 2 | 0 | 40.00% | 0 | 0 | 0.58 | 0 | 0 | 0.50 | |||
| 11 | Cameron Gaunce | Gulls (ANA) | D | 73 | 13 | 30 | 43 | -12 | 60 | 0 | 138 | 106 | 43 | 67 | 12.26% | 110 | 22.76 | 7 | 8 | 15 | 0 | 0 | 0 | 190 | 2 | 0 | 0.00% | 0 | 1 | 0.59 | 0 | 0 | 0.45 | |||
| 12 | Turner Ottenbreit | Gulls (ANA) | D | 73 | 5 | 26 | 31 | -11 | 62 | 0 | 151 | 125 | 37 | 90 | 4.00% | 93 | 23.10 | 1 | 8 | 9 | 0 | 0 | 0 | 201 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.35 | |||
| 13 | Greg Printz | Gulls (ANA) | C/LW | 66 | 18 | 13 | 31 | 8 | 14 | 0 | 65 | 101 | 29 | 69 | 17.82% | 6 | 11.46 | 0 | 1 | 1 | 0 | 0 | 0 | 18 | 2 | 2 | 41.94% | 0 | 0 | 0.47 | 0 | 0 | 0.50 | |||
| 14 | Nikolas Brouillard | Gulls (ANA) | D | 60 | 9 | 21 | 30 | -12 | 48 | 0 | 136 | 74 | 23 | 68 | 12.16% | 70 | 21.32 | 3 | 4 | 7 | 0 | 1 | 1 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.35 | |||
| 15 | Eddie Wittchow | Gulls (ANA) | D | 50 | 8 | 21 | 29 | 11 | 46 | 0 | 94 | 52 | 23 | 36 | 15.38% | 67 | 19.61 | 5 | 5 | 10 | 1 | 0 | 1 | 96 | 2 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.51 | |||
| 16 | Steven Fogarty | Gulls (ANA) | C | 62 | 8 | 20 | 28 | 4 | 10 | 0 | 56 | 88 | 13 | 51 | 9.09% | 10 | 7.47 | 0 | 4 | 4 | 0 | 0 | 0 | 35 | 1 | 0 | 45.42% | 0 | 0 | 0.45 | 1 | 2 | 0.43 | |||
| 17 | Seth Helgeson | Gulls (ANA) | D | 61 | 8 | 19 | 27 | -7 | 36 | 0 | 133 | 70 | 28 | 40 | 11.43% | 81 | 19.79 | 4 | 4 | 8 | 0 | 0 | 0 | 130 | 1 | 2 | 0.00% | 0 | 0 | 0.44 | 0 | 0 | 0.37 | |||
| 18 | Yanni Kaldis | Gulls (ANA) | D | 51 | 2 | 18 | 20 | 4 | 32 | 0 | 86 | 46 | 16 | 27 | 4.35% | 54 | 16.22 | 2 | 4 | 6 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.34 | |||
| 19 | Bobby McMann | Gulls (ANA) | C | 82 | 8 | 11 | 19 | -8 | 12 | 0 | 54 | 97 | 29 | 78 | 8.25% | 15 | 7.99 | 0 | 0 | 0 | 1 | 0 | 1 | 38 | 0 | 1 | 48.24% | 0 | 0 | 0.23 | 0 | 0 | 0.22 | |||
| 20 | Kristians Rubins | Gulls (ANA) | D | 33 | 3 | 10 | 13 | 10 | 16 | 0 | 55 | 27 | 9 | 30 | 11.11% | 34 | 18.50 | 1 | 0 | 1 | 0 | 1 | 1 | 49 | 0 | 1 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.45 | |||
| 21 | Kristian Reichel | Gulls (ANA) | C | 32 | 2 | 9 | 11 | 4 | 6 | 0 | 16 | 40 | 13 | 20 | 5.00% | 3 | 6.74 | 0 | 3 | 3 | 0 | 0 | 0 | 3 | 1 | 0 | 44.00% | 0 | 0 | 0.34 | 0 | 0 | 0.36 | |||
| 22 | Alex Turcotte | Gulls (ANA) | C | 18 | 1 | 6 | 7 | 4 | 0 | 0 | 5 | 6 | 2 | 4 | 16.67% | 1 | 4.90 | 1 | 1 | 2 | 0 | 0 | 0 | 20 | 0 | 0 | 46.84% | 0 | 0 | 0.39 | 0 | 0 | 0.37 | |||
| 23 | Tristin Langan | Gulls (ANA) | C | 67 | 2 | 5 | 7 | -5 | 0 | 0 | 8 | 14 | 6 | 15 | 14.29% | 1 | 2.28 | 0 | 3 | 3 | 0 | 0 | 0 | 10 | 0 | 0 | 46.94% | 0 | 0 | 0.10 | 0 | 0 | 0.07 | |||
| 24 | Daniil Chayka | Gulls (ANA) | D | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 4 | 22.70 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.73 | |||
| 25 | Connor Hvidston | Gulls (ANA) | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1479 | 318 | 582 | 900 | -2 | 734 | 20 | 2117 | 3097 | 889 | 2171 | 10.27% | 852 | 16.35 | 71 | 133 | 204 | 2813 | 4 | 6 | 10 | 2128 | 35 | 15 | 49.65% | 7671 | 0 | 0 | 0 | 6 | 0.74 | 10 | 28 |
| 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 | Matthew Berlin | Gulls (ANA) | 59 | 22 | 21 | 6 | 0.889 | 3.94 | 2923 | 6 | 0 | 192 | 1729 | 0 | 1 | 0 | 0.684 | 19 | 56 | 12 | 0 | 3 | 2 |
| 2 | Taylor Gauthier | Gulls (ANA) | 39 | 17 | 11 | 4 | 0.899 | 3.70 | 1961 | 2 | 1 | 121 | 1203 | 0 | 1 | 2 | 0.727 | 11 | 25 | 57 | 0 | 2 | 1 |
| 3 | Jacob Kucharski | Gulls (ANA) | 2 | 1 | 0 | 0 | 0.900 | 3.23 | 93 | 0 | 0 | 5 | 50 | 0 | 0 | 0 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 |
| Team Total or Average | 100 | 40 | 32 | 10 | 0.893 | 3.83 | 4977 | 8 | 1 | 318 | 2982 | 0 | 2 | 2 | 0.700 | 30 | 82 | 82 | 0 | 5 | 3 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Turcotte | C | 23 | 2,444,167$ | 2,444,167$ | 2,444,167$ | RFA | |||||
Andrew Ladd ![]() | C | 38 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Bobby McMann ![]() | C | 27 | 762,500$ | 762,500$ | 762,500$ | 1,350,000$ | 1,350,000$ | UFA | |||
Brett Seney ![]() | LW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Cameron Gaunce ![]() | D | 34 | 750,000$ | 775,000$ | UFA | ||||||
Connor Hvidston | C/LW | 19 | 750,000$ | 750,000$ | RFA | ||||||
Cooper Marody ![]() | RW | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Curtis McKenzie ![]() | C/LW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Chayka | D | 21 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | RFA | ||||
Declan Carlile | D | 23 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Eddie Wittchow ![]() | D | 31 | 750,000$ | 775,000$ | UFA | ||||||
Eeli Tolvanen | LW/RW | 24 | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | |||||
Greg Printz ![]() | C/LW | 25 | 750,000$ | 775,000$ | UFA | ||||||
Jacob Kucharski | G | 24 | 750,000$ | 750,000$ | UFA | ||||||
Jake Wise | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Kristian Reichel ![]() | C | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Kristians Rubins ![]() | D | 26 | 750,000$ | 750,000$ | UFA | ||||||
Matthew Berlin ![]() | G | 26 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Mackie Samoskevich | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Michael Mersch ![]() | RW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Nikolas Brouillard ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nils Aman | C | 24 | 925,000$ | 925,000$ | 925,000$ | 825,000$ | 825,000$ | UFA | |||
Ondrej Kase ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Rhett Gardner ![]() | C | 28 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Seth Helgeson ![]() | D | 33 | 775,000$ | 775,000$ | UFA | ||||||
Steven Fogarty ![]() | C | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Taylor Gauthier | G | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | UFA | ||||
Tristin Langan ![]() | C | 25 | 775,000$ | 775,000$ | UFA | ||||||
Turner Ottenbreit ![]() | D | 26 | 750,000$ | 775,000$ | UFA | ||||||
Yanni Kaldis ![]() | D | 28 | 750,000$ | 775,000$ | 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 | Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 120 | 101 | 92 | 15 | 75 | 1023 | 1002 | 1023 | 76 | 73 | 22 | 10 | 44 | 7 | 2 | 28.57% | 4 | 2 | 50.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 53.8% | 12.0% | 89.0% | 101.0 | FUN |
| 2 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 2 | 0.500 | 12 | 22 | 34 | 0 | 0 | 120 | 101 | 92 | 15 | 71 | 1023 | 1002 | 1023 | 76 | 94 | 19 | 24 | 44 | 6 | 4 | 66.67% | 11 | 4 | 63.64% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.0% | 16.9% | 87.2% | 104.1 | FUN |
| 3 | Americans | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 120 | 101 | 92 | 15 | 90 | 1023 | 1002 | 1023 | 76 | 78 | 25 | 14 | 54 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 47.1% | 8.9% | 88.5% | 97.4 | Unlucky |
| 4 | Binghamton Senateurs | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 1 | 0.250 | 8 | 14 | 22 | 0 | 0 | 120 | 101 | 92 | 15 | 75 | 1023 | 1002 | 1023 | 76 | 81 | 23 | 16 | 48 | 8 | 1 | 12.50% | 8 | 4 | 50.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 46.7% | 10.7% | 85.2% | 95.9 | FUN |
| 5 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 120 | 101 | 92 | 15 | 84 | 1023 | 1002 | 1023 | 76 | 86 | 19 | 16 | 35 | 6 | 1 | 16.67% | 7 | 4 | 42.86% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 60.0% | 11.9% | 88.4% | 100.3 | FUN |
| 6 | Rockets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 120 | 101 | 92 | 15 | 75 | 1023 | 1002 | 1023 | 76 | 69 | 26 | 22 | 47 | 11 | 3 | 27.27% | 11 | 0 | 100.00% | 2 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.0% | 12.0% | 91.3% | 103.3 | LUCKY |
| 7 | Providence Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 120 | 101 | 92 | 15 | 98 | 1023 | 1002 | 1023 | 76 | 59 | 20 | 12 | 51 | 13 | 5 | 38.46% | 5 | 0 | 100.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 58.3% | 12.2% | 91.5% | 103.8 | LUCKY |
| 8 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 120 | 101 | 92 | 15 | 66 | 1023 | 1002 | 1023 | 76 | 88 | 22 | 22 | 59 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 55.6% | 9.1% | 93.2% | 102.3 | LUCKY |
| 9 | Eagles | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 2 | 0.333 | 12 | 20 | 32 | 0 | 0 | 120 | 101 | 92 | 15 | 107 | 1023 | 1002 | 1023 | 76 | 86 | 23 | 22 | 65 | 15 | 3 | 20.00% | 10 | 4 | 60.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 52.9% | 11.2% | 86.0% | 97.3 | FUN |
| 10 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 120 | 101 | 92 | 15 | 71 | 1023 | 1002 | 1023 | 76 | 76 | 15 | 18 | 57 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 63.6% | 11.3% | 93.4% | 104.7 | LUCKY |
| 11 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 120 | 101 | 92 | 15 | 80 | 1023 | 1002 | 1023 | 76 | 80 | 20 | 14 | 52 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 33.3% | 7.5% | 86.3% | 93.8 | Unlucky |
| 12 | islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 120 | 101 | 92 | 15 | 78 | 1023 | 1002 | 1023 | 76 | 71 | 22 | 14 | 52 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 58.3% | 10.3% | 90.1% | 100.4 | FUN |
| 13 | IceHogs | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 14 | 13 | 1 | 5 | 0.833 | 14 | 25 | 39 | 0 | 0 | 120 | 101 | 92 | 15 | 131 | 1023 | 1002 | 1023 | 76 | 109 | 32 | 22 | 81 | 16 | 4 | 25.00% | 11 | 2 | 81.82% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 47.6% | 10.7% | 88.1% | 98.8 | FUN |
| 14 | Griffins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 120 | 101 | 92 | 15 | 75 | 1023 | 1002 | 1023 | 76 | 84 | 26 | 12 | 63 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 35.3% | 10.7% | 86.9% | 97.6 | FUN |
| 15 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 120 | 101 | 92 | 15 | 63 | 1023 | 1002 | 1023 | 76 | 63 | 26 | 22 | 44 | 4 | 1 | 25.00% | 11 | 4 | 63.64% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 33.3% | 6.3% | 84.1% | 90.5 | Unlucky |
| 16 | Barracuda | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 17 | 17 | 0 | 4 | 0.500 | 17 | 30 | 47 | 0 | 0 | 120 | 101 | 92 | 15 | 141 | 1023 | 1002 | 1023 | 76 | 152 | 45 | 50 | 101 | 21 | 4 | 19.05% | 21 | 5 | 76.19% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 52.0% | 12.1% | 88.8% | 100.9 | FUN |
| 17 | Condors | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 13 | 17 | -4 | 5 | 0.625 | 13 | 24 | 37 | 0 | 0 | 120 | 101 | 92 | 15 | 143 | 1023 | 1002 | 1023 | 76 | 124 | 47 | 44 | 90 | 19 | 5 | 26.32% | 15 | 4 | 73.33% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 38.1% | 9.1% | 86.3% | 95.4 | FUN |
| 18 | Iowa Wild | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 120 | 101 | 92 | 15 | 89 | 1023 | 1002 | 1023 | 76 | 110 | 33 | 38 | 89 | 10 | 1 | 10.00% | 17 | 7 | 58.82% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 46.2% | 7.9% | 87.3% | 95.1 | Unlucky |
| 19 | Reign | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 6 | 4 | 0.667 | 15 | 29 | 44 | 0 | 0 | 120 | 101 | 92 | 15 | 114 | 1023 | 1002 | 1023 | 76 | 116 | 29 | 30 | 91 | 13 | 4 | 30.77% | 13 | 3 | 76.92% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 64.7% | 13.2% | 92.2% | 105.4 | LUCKY |
| 20 | Thunderbirds | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 120 | 101 | 92 | 15 | 98 | 1023 | 1002 | 1023 | 76 | 124 | 41 | 36 | 65 | 8 | 1 | 12.50% | 16 | 1 | 93.75% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.0% | 10.2% | 91.9% | 102.1 | LUCKY |
| 21 | Wranglers | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 15 | 5 | 7 | 0.875 | 20 | 35 | 55 | 0 | 0 | 120 | 101 | 92 | 15 | 132 | 1023 | 1002 | 1023 | 76 | 134 | 47 | 55 | 106 | 17 | 5 | 29.41% | 19 | 5 | 73.68% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 60.0% | 15.2% | 88.8% | 104.0 | FUN |
| 22 | Texas Stars | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 19 | 29 | 0 | 0 | 120 | 101 | 92 | 15 | 88 | 1023 | 1002 | 1023 | 76 | 101 | 28 | 24 | 75 | 10 | 3 | 30.00% | 12 | 2 | 83.33% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 63.6% | 11.4% | 94.1% | 105.4 | LUCKY |
| 23 | Canucks | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 6 | 0.750 | 19 | 36 | 55 | 0 | 0 | 120 | 101 | 92 | 15 | 160 | 1023 | 1002 | 1023 | 76 | 131 | 41 | 32 | 119 | 19 | 5 | 26.32% | 16 | 2 | 87.50% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 48.3% | 11.9% | 87.0% | 98.9 | FUN |
| 24 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 120 | 101 | 92 | 15 | 100 | 1023 | 1002 | 1023 | 76 | 52 | 16 | 12 | 49 | 13 | 3 | 23.08% | 6 | 1 | 83.33% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 66.7% | 11.0% | 90.4% | 101.4 | FUN |
| 25 | W-B/Scranton Penguins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 11 | -4 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 120 | 101 | 92 | 15 | 81 | 1023 | 1002 | 1023 | 76 | 77 | 14 | 20 | 64 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 1 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 35.7% | 8.6% | 85.7% | 94.4 | Unlucky |
| 26 | Roadrunners | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 3 | 0.500 | 12 | 21 | 33 | 0 | 0 | 120 | 101 | 92 | 15 | 100 | 1023 | 1002 | 1023 | 76 | 112 | 28 | 20 | 75 | 14 | 3 | 21.43% | 10 | 0 | 100.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 47.4% | 12.0% | 91.1% | 103.1 | Unlucky |
| 27 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 120 | 101 | 92 | 15 | 100 | 1023 | 1002 | 1023 | 76 | 78 | 13 | 18 | 59 | 12 | 2 | 16.67% | 9 | 3 | 66.67% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 53.8% | 9.0% | 88.5% | 97.5 | FUN |
| 28 | Admirals | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 11 | 14 | -3 | 2 | 0.333 | 11 | 18 | 29 | 0 | 0 | 120 | 101 | 92 | 15 | 119 | 1023 | 1002 | 1023 | 76 | 105 | 26 | 24 | 77 | 16 | 2 | 12.50% | 10 | 2 | 80.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 42.9% | 9.2% | 86.7% | 95.9 | FUN |
| 29 | Moose | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 16 | -6 | 1 | 0.167 | 10 | 20 | 30 | 0 | 0 | 120 | 101 | 92 | 15 | 114 | 1023 | 1002 | 1023 | 76 | 128 | 21 | 26 | 96 | 9 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 41.7% | 8.8% | 87.5% | 96.3 | Unlucky |
| 30 | Silver Knights | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 120 | 101 | 92 | 15 | 113 | 1023 | 1002 | 1023 | 76 | 98 | 36 | 23 | 70 | 13 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.0% | 5.3% | 93.9% | 99.2 | DULL |
| 31 | Firebirds | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 19 | 31 | 0 | 1 | 120 | 101 | 92 | 15 | 165 | 1023 | 1002 | 1023 | 76 | 145 | 46 | 30 | 95 | 17 | 1 | 5.88% | 15 | 3 | 80.00% | 1 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 61.1% | 7.3% | 93.1% | 100.4 | DULL |
| _Vs Division | 26 | 13 | 7 | 0 | 1 | 3 | 1 | 1 | 102 | 91 | 11 | 34 | 0.654 | 102 | 184 | 286 | 0 | 1 | 120 | 101 | 92 | 15 | 968 | 1023 | 1002 | 1023 | 76 | 900 | 291 | 264 | 672 | 119 | 24 | 20.17% | 108 | 22 | 79.63% | 1 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 53.1% | 10.5% | 89.9% | 100.4 | FUN | |
| _Vs Conference | 50 | 19 | 18 | 0 | 2 | 5 | 4 | 2 | 188 | 186 | 2 | 57 | 0.570 | 188 | 336 | 524 | 0 | 1 | 120 | 101 | 92 | 15 | 1814 | 1023 | 1002 | 1023 | 76 | 1775 | 523 | 476 | 1295 | 217 | 41 | 18.89% | 206 | 42 | 79.61% | 1 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.5% | 10.4% | 89.5% | 99.9 | FUN | |
| _Since Last GM Reset | 82 | 30 | 32 | 0 | 5 | 7 | 5 | 3 | 323 | 323 | 0 | 90 | 0.549 | 323 | 581 | 904 | 2 | 1 | 120 | 101 | 92 | 15 | 3096 | 1023 | 1002 | 1023 | 76 | 2984 | 851 | 742 | 2117 | 341 | 71 | 20.82% | 324 | 72 | 77.78% | 4 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.1% | 10.4% | 89.2% | 99.6 | FUN | |
| Total | 82 | 30 | 32 | 0 | 5 | 7 | 5 | 3 | 323 | 323 | 0 | 90 | 0.549 | 323 | 581 | 904 | 2 | 1 | 120 | 101 | 92 | 15 | 3096 | 1023 | 1002 | 1023 | 76 | 2984 | 851 | 742 | 2117 | 341 | 71 | 20.82% | 324 | 72 | 77.78% | 4 | 1573 | 3139 | 50.11% | 1487 | 2992 | 49.70% | 747 | 1446 | 51.66% | 1914 | 1281 | 1964 | 649 | 1105 | 546 | 50.1% | 10.4% | 89.2% | 99.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 3139 |
| Neutral Zone Start | 1446 |
| Defensive Zone Start | 2992 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3807 |
| Faceoffs Lost | 3770 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.5 | 9.57 |
| 2nd Period | 24.7 | 20.31 |
| 3rd Period | 37.2 | 30.68 |
| Overtime | 38.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.7 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 246 |
|---|---|
| PP Goal | 71 |
| PK Goal | 4 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 20 | 20 |
| Lost | 16 | 16 |
| Overtime Lost | 5 | 5 |
| PP Attempt | 341 |
|---|---|
| PP Goal | 71 |
| PK Attempt | 324 |
| PK Goal Against | 72 |
| Home | |
|---|---|
| Shots For | 37.8 |
| Shots Against | 36.4 |
| Goals For | 3.9 |
| Goals Against | 3.9 |
| Hits | 25.8 |
| Shots Blocked | 10.4 |
| Pim | 9.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,156,167$ | 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 | 39$ | 19$ | $ | $ | $ |
| Attendance | 53814 | 28794 | |||
| Attendance PCT | 65.63% | 70.23% | 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 | 2015 - 67.16% | 96,153$ | 3,942,290$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,156,167$ | 3,143,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,977,717$ | 0$ | 2,951,831$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 16,699$ | 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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