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Full Scoreboard »» |
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Full Scoreboard »» |
| Utah Mammoth 36-13-4, 76pts · 1st in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mark Stone | 0 | RW | 100.00 | 61 | 34 | 96 | 87 | 87 | 86 | 81 | 85 | 57 | 91 | 88 | 72 | 86 | 83 | 94 | 0 | 82 | 95 | 33 | 9,500,000$/2yrs | |||
David Pastrnak | 88 | RW | 100.00 | 66 | 33 | 79 | 88 | 77 | 88 | 90 | 81 | 59 | 87 | 85 | 54 | 83 | 75 | 73 | 0 | 82 | 90 | 29 | 11,500,000$/6yrs | |||
Brandon Hagel | 38 | LW/RW | 100.00 | 65 | 32 | 77 | 81 | 73 | 88 | 89 | 78 | 59 | 80 | 84 | 74 | 81 | 72 | 69 | 0 | 82 | 88 | 27 | 6,500,000$/7yrs | |||
Jason Zucker | 0 | LW/RW | 100.00 | 68 | 32 | 85 | 76 | 74 | 80 | 79 | 74 | 60 | 74 | 82 | 51 | 78 | 83 | 81 | 0 | 82 | 84 | 34 | 5,500,000$/5yrs | |||
Anze Kopitar | 0 | C | 99.00 | 60 | 34 | 96 | 69 | 89 | 86 | 89 | 70 | 93 | 78 | 70 | 71 | 70 | 90 | 99 | 0 | 82 | 83 | 38 | 7,000,000$/2yrs | |||
Justin Brazeau | 0 | LW/RW | 100.00 | 73 | 34 | 92 | 74 | 90 | 76 | 83 | 70 | 55 | 67 | 81 | 62 | 75 | 72 | 71 | 0 | 82 | 82 | 27 | 2,500,000$/3yrs | |||
Charlie Coyle | 0 | C/RW | 100.00 | 74 | 34 | 94 | 67 | 89 | 83 | 90 | 66 | 86 | 74 | 64 | 80 | 65 | 83 | 82 | 0 | 82 | 81 | 33 | 5,250,000$/1yrs | |||
Pavel Zacha | 0 | C/LW | 100.00 | 66 | 35 | 87 | 71 | 82 | 86 | 90 | 67 | 83 | 73 | 68 | 68 | 67 | 73 | 72 | 0 | 82 | 80 | 28 | 5,000,000$/3yrs | |||
Frederick Gaudreau | 0 | C/LW | 100.00 | 62 | 32 | 96 | 65 | 72 | 81 | 90 | 63 | 83 | 65 | 69 | 76 | 66 | 79 | 79 | 0 | 82 | 78 | 32 | 3,100,000$/4yrs | |||
Michael Amadio | 10 | C/RW | 100.00 | 74 | 33 | 90 | 62 | 80 | 80 | 90 | 61 | 59 | 64 | 65 | 65 | 63 | 75 | 74 | 0 | 82 | 75 | 29 | 2,750,000$/3yrs | |||
Oskar Sundqvist | 0 | C/RW | 100.00 | 70 | 34 | 84 | 58 | 88 | 77 | 86 | 59 | 78 | 65 | 58 | 70 | 59 | 78 | 77 | 0 | 82 | 74 | 31 | 1,600,000$/2yrs | |||
Nick Bjugstad | 69 | C/RW | 100.00 | 80 | 34 | 83 | 56 | 87 | 73 | 81 | 59 | 78 | 54 | 65 | 68 | 62 | 81 | 80 | 0 | 81 | 73 | 33 | 2,250,000$/1yrs | |||
Ryan McDonagh (A) | 72 | D | 100.00 | 61 | 33 | 99 | 66 | 84 | 87 | 76 | 62 | 30 | 65 | 71 | 82 | 66 | 87 | 87 | 0 | 82 | 81 | 36 | 6,750,000$/1yrs | |||
Jacob Middleton | 0 | D | 100.00 | 76 | 49 | 73 | 60 | 87 | 91 | 88 | 64 | 30 | 64 | 62 | 82 | 63 | 74 | 72 | 0 | 80 | 79 | 30 | 3,500,000$/3yrs | |||
Jamie Oleksiak | 0 | D | 100.00 | 72 | 35 | 91 | 55 | 99 | 82 | 90 | 57 | 30 | 59 | 59 | 78 | 58 | 81 | 80 | 0 | 82 | 75 | 33 | 5,000,000$/4yrs | |||
Ryan Lindgren | 0 | D | 100.00 | 67 | 35 | 74 | 58 | 74 | 87 | 88 | 59 | 30 | 64 | 56 | 76 | 58 | 72 | 69 | 0 | 82 | 75 | 27 | 4,500,000$/5yrs | |||
Johnathan Kovacevic | 0 | D | 100.00 | 71 | 46 | 70 | 60 | 85 | 88 | 82 | 57 | 30 | 63 | 52 | 72 | 55 | 72 | 69 | 0 | 43 | 74 | 28 | 3,300,000$/4yrs | |||
Niko Mikkola | 0 | D | 100.00 | 75 | 39 | 72 | 55 | 85 | 87 | 90 | 56 | 30 | 60 | 54 | 73 | 55 | 75 | 72 | 0 | 82 | 73 | 29 | 2,750,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.94 | 69 | 35 | 85 | 67 | 83 | 84 | 86 | 66 | 57 | 69 | 69 | 71 | 67 | 78 | 78 | 0 | 80 | 80 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Filip Gustavsson | 0 | 100.00 | 82 | 95 | 83 | 76 | 92 | 84 | 92 | 94 | 92 | 95 | 92 | 72 | 77 | 0 | 83 | 91 | 27 | 4,500,000$/5yrs |
Jake Allen | 0 | 100.00 | 90 | 89 | 78 | 79 | 88 | 71 | 88 | 93 | 83 | 94 | 88 | 85 | 89 | 0 | 61 | 89 | 35 | 1,800,000$/5yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 86 | 92 | 81 | 78 | 90 | 78 | 90 | 94 | 88 | 95 | 90 | 79 | 83 | 0 | 72 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Tortorella | 81 | 76 | 69 | 79 | 92 | 81 | 69 | USA | 50 | 4 | 1,000,000$ |
| General Manager | Jean-François J-Giguere |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anze Kopitar | 0 | C | 53 | 20 | 42 | 62 | 12 | 18 | 0 | 33 | 183 | 53 | 145 | 10.93% | 8 | 21.58 | 6 | 13 | 19 | 203 | 0 | 0 | 0 | 26 | 5 | 0 | 56.27% | 1539 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | |
| 2 | David Pastrnak | 88 | RW | 53 | 25 | 37 | 62 | 10 | 32 | 0 | 64 | 271 | 90 | 184 | 9.23% | 6 | 21.20 | 6 | 13 | 19 | 212 | 0 | 0 | 0 | 0 | 6 | 2 | 37.93% | 58 | 0 | 0 | 0 | 0 | 1.10 | 1 | 3 | |
| 3 | Brandon Hagel | 38 | LW/RW | 53 | 23 | 31 | 54 | 5 | 22 | 0 | 89 | 215 | 69 | 146 | 10.70% | 3 | 18.45 | 7 | 9 | 16 | 195 | 0 | 0 | 0 | 0 | 4 | 3 | 44.19% | 86 | 0 | 0 | 0 | 1 | 1.10 | 0 | 0 | |
| 4 | Mark Stone | 0 | RW | 53 | 18 | 30 | 48 | 7 | 8 | 0 | 31 | 197 | 48 | 170 | 9.14% | 6 | 16.85 | 5 | 13 | 18 | 187 | 0 | 0 | 0 | 0 | 3 | 2 | 50.00% | 60 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | |
| 5 | Charlie Coyle | 0 | C/RW | 53 | 21 | 25 | 46 | 7 | 22 | 0 | 99 | 141 | 37 | 100 | 14.89% | 11 | 18.29 | 9 | 10 | 19 | 182 | 0 | 0 | 0 | 157 | 4 | 3 | 52.09% | 1244 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | |
| 6 | Ryan McDonagh | 72 | D | 53 | 5 | 36 | 41 | 18 | 10 | 0 | 29 | 100 | 35 | 69 | 5.00% | 95 | 25.15 | 3 | 8 | 11 | 210 | 0 | 0 | 0 | 213 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 7 | Pavel Zacha | 0 | C/LW | 53 | 11 | 20 | 31 | 0 | 20 | 0 | 56 | 118 | 38 | 98 | 9.32% | 5 | 14.52 | 2 | 10 | 12 | 180 | 0 | 0 | 0 | 3 | 1 | 2 | 49.26% | 674 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
| 8 | Jason Zucker | 0 | LW/RW | 53 | 12 | 13 | 25 | 10 | 36 | 0 | 110 | 99 | 19 | 75 | 12.12% | 0 | 18.47 | 4 | 4 | 8 | 201 | 0 | 0 | 0 | 14 | 3 | 0 | 37.31% | 67 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 9 | Jacob Middleton | 0 | D | 53 | 7 | 15 | 22 | 6 | 112 | 10 | 142 | 67 | 25 | 45 | 10.45% | 89 | 23.02 | 3 | 7 | 10 | 171 | 0 | 0 | 0 | 169 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 10 | Jamie Oleksiak | 0 | D | 53 | 3 | 14 | 17 | 4 | 28 | 0 | 39 | 42 | 11 | 22 | 7.14% | 98 | 20.50 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 204 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 11 | Frederick Gaudreau | 0 | C/LW | 53 | 9 | 7 | 16 | 5 | 6 | 0 | 21 | 109 | 40 | 96 | 8.26% | 15 | 14.88 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 222 | 4 | 1 | 56.41% | 195 | 0 | 0 | 0 | 0 | 0.41 | 0 | 3 | |
| 12 | Ryan Lindgren | 0 | D | 53 | 2 | 14 | 16 | 5 | 32 | 0 | 31 | 23 | 13 | 26 | 8.70% | 48 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 13 | Johnathan Kovacevic | 0 | D | 54 | 2 | 14 | 16 | 9 | 61 | 5 | 116 | 40 | 11 | 35 | 5.00% | 42 | 16.59 | 1 | 1 | 2 | 66 | 0 | 0 | 0 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 14 | Oskar Sundqvist | 0 | C/RW | 53 | 5 | 6 | 11 | 5 | 20 | 0 | 63 | 60 | 13 | 43 | 8.33% | 3 | 12.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 1 | 2 | 37.74% | 53 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 15 | Niko Mikkola | 0 | D | 53 | 1 | 8 | 9 | 10 | 64 | 0 | 139 | 22 | 5 | 17 | 4.55% | 56 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 174 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 16 | Nick Bjugstad | 69 | C/RW | 53 | 3 | 2 | 5 | 2 | 27 | 5 | 42 | 43 | 9 | 33 | 6.98% | 7 | 9.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0 | 0 | 50.00% | 718 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 17 | Michael Amadio | 10 | C/RW | 53 | 1 | 2 | 3 | 2 | 0 | 0 | 16 | 38 | 8 | 29 | 2.63% | 3 | 5.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 63.16% | 19 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 18 | Justin Brazeau | 0 | LW/RW | 53 | 2 | 0 | 2 | 1 | 6 | 0 | 12 | 38 | 8 | 23 | 5.26% | 3 | 5.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15.38% | 13 | 0 | 0 | 0 | 0 | 0.13 | 0 | 3 | |
| Team Total or Average | 955 | 170 | 316 | 486 | 118 | 524 | 20 | 1132 | 1806 | 532 | 1356 | 9.41% | 498 | 16.39 | 46 | 88 | 134 | 1839 | 0 | 0 | 0 | 1654 | 35 | 18 | 52.14% | 4726 | 0 | 0 | 0 | 1 | 0.62 | 1 | 9 |
| 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 | Filip Gustavsson | 45 | 33 | 9 | 2 | 0.921 | 2.30 | 2690 | 4 | 3 | 103 | 1312 | 0 | 1 | 0 | 0.750 | 8 | 44 | 9 | 8 | 2 | 3 | |
| 2 | Jake Allen | 10 | 3 | 5 | 1 | 0.911 | 3.12 | 558 | 0 | 0 | 29 | 327 | 0 | 0 | 0 | 1.000 | 3 | 9 | 43 | 1 | 0 | 0 | |
| Team Total or Average | 55 | 36 | 14 | 3 | 0.919 | 2.44 | 3248 | 4 | 3 | 132 | 1639 | 0 | 1 | 0 | 0.818 | 11 | 53 | 52 | 9 | 2 | 3 |
| Projected Total Cap Hit | 94,136,976$ |
| Projected Cap Space | 1,363,024$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 55,726,032$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Mammoth Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar ![]() | C | 38 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Brandon Hagel ![]() | LW/RW | 27 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Charlie Coyle ![]() | C/RW | 33 | 5,250,000$ | 5,250,000$ | UFA | ||||||
David Pastrnak ![]() | RW | 29 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | |
| Filip Gustavsson | G | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Frederick Gaudreau ![]() | C/LW | 32 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | UFA | |||
Jacob Middleton ![]() | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
| Jake Allen | G | 35 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||
Jamie Oleksiak ![]() | D | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Jason Zucker ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Johnathan Kovacevic ![]() | D | 28 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||
Justin Brazeau ![]() | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Mark Stone ![]() | RW | 33 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Michael Amadio ![]() | C/RW | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Nick Bjugstad ![]() | C/RW | 33 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Niko Mikkola ![]() | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Oskar Sundqvist ![]() | C/RW | 31 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Pavel Zacha ![]() | C/LW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Ryan Lindgren ![]() | D | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Ryan McDonagh ![]() | D | 36 | 6,750,000$ | 6,750,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile | C/LW/RW | 34 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Alex Limoges | C/LW | 28 | 900,000$ | 900,000$ | |||||||
Andrei Loshko | LW/RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Anthony Richard | C/LW | 29 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
Brady Lyle | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
Carter Savoie | LW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Dalton Bancroft | LW/RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Drake Caggiula | C/LW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Emil Lilleberg | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Felix Sandstrom | G | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Fredrik Karlstrom | C | 28 | 800,000$ | 800,000$ | |||||||
Harrison Scott | C/LW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Jagger Firkus | RW | 21 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
James Hamblin | C/LW | 26 | 775,000$ | 775,000$ | |||||||
Joe Snively | LW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Joey Larson | LW/RW | 24 | 823,750$ | 823,750$ | RFA | ||||||
Jonah Gadjovich | LW | 27 | 800,000$ | 800,000$ | |||||||
Judd Caulfield | LW/RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Louka Heneault | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Luke Cavallin | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
Marc Del Gaizo | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Mikael Diotte | D | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Rasmus Korhonen | G | 23 | 0$ | RFA | |||||||
Remi Poirier | G | 24 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Riley Duran | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Rodrigo Abols | C | 30 | 900,000$ | 900,000$ | UFA | ||||||
Ryan Schmelzer | C | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Saige Weinstein | D | 20 | 800,000$ | 800,000$ | RFA | ||||||
Trevor Kuntar | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Vittorio Mancini | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
Will Zmolek | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
William Rousseau | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Yegor Sokolov | LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Zayde Wisdom | RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA |
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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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 68 | 25 | 16 | 27 | 0 | 69 | 27 | 12 | 31 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 52 | 38 | 43 | 13 | 24 | 13 | 58.3% | 10.3% | 92.8% | 103.0 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 12 | 8 | 12 | 0 | 26 | 4 | 6 | 30 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 28 | 20 | 19 | 6 | 12 | 6 | 66.7% | 9.4% | 96.2% | 105.5 | LUCKY | |
| 3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 72 | 23 | 26 | 20 | 3 | 46 | 14 | 18 | 40 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 56 | 40 | 43 | 14 | 25 | 12 | 50.0% | 5.6% | 91.3% | 96.9 | DULL | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 73 | 24 | 26 | 23 | 0 | 65 | 11 | 14 | 56 | 10 | 1 | 10.00% | 7 | 1 | 85.71% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 51 | 36 | 44 | 15 | 24 | 12 | 50.0% | 5.5% | 93.8% | 99.3 | DULL | |
| 5 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 89 | 27 | 30 | 27 | 5 | 45 | 17 | 18 | 40 | 12 | 3 | 25.00% | 9 | 2 | 77.78% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 53 | 37 | 44 | 15 | 26 | 14 | 55.6% | 9.0% | 86.7% | 95.7 | FUN | |
| 6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 6 | 1 | 4 | 0 | 96 | 36 | 31 | 29 | 0 | 93 | 42 | 28 | 56 | 11 | 4 | 36.36% | 13 | 1 | 92.31% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 72 | 51 | 69 | 22 | 37 | 18 | 53.8% | 11.5% | 92.5% | 103.9 | LUCKY | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 4 | 2 | 0 | 78 | 19 | 23 | 36 | 0 | 55 | 16 | 16 | 36 | 12 | 2 | 16.67% | 8 | 3 | 62.50% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 54 | 39 | 39 | 14 | 25 | 14 | 57.1% | 7.7% | 89.1% | 96.8 | Unlucky | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 20 | 4 | 8 | 8 | 0 | 25 | 10 | 23 | 9 | 3 | 2 | 66.67% | 9 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 20 | 13 | 26 | 8 | 13 | 6 | 66.7% | 20.0% | 96.0% | 116.0 | LUCKY | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 5 | 0 | 0 | 71 | 24 | 32 | 15 | 0 | 57 | 18 | 24 | 42 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 47 | 33 | 48 | 14 | 24 | 12 | 75.0% | 11.3% | 93.0% | 104.3 | LUCKY | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 31 | 12 | 9 | 10 | 0 | 35 | 7 | 14 | 18 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 20 | 13 | 26 | 8 | 12 | 5 | 16.7% | 6.5% | 82.9% | 89.3 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 14 | 10 | 4 | 5 | 39 | 14 | 8 | 15 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 26 | 18 | 25 | 7 | 13 | 6 | 33.3% | 10.0% | 89.7% | 99.7 | FUN | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 32 | 7 | 14 | 11 | 0 | 27 | 18 | 14 | 20 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 24 | 17 | 23 | 6 | 11 | 5 | 71.4% | 15.6% | 88.9% | 104.5 | FUN | |
| 13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 0.667 | 11 | 21 | 32 | 0 | 1 | 7 | 1 | 3 | 0 | 108 | 42 | 39 | 27 | 0 | 87 | 29 | 32 | 51 | 11 | 2 | 18.18% | 16 | 1 | 93.75% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 76 | 53 | 65 | 21 | 37 | 19 | 64.3% | 10.2% | 93.1% | 103.3 | LUCKY | |
| 14 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 2 | 1 | 69 | 19 | 18 | 28 | 4 | 44 | 16 | 16 | 40 | 10 | 1 | 10.00% | 8 | 3 | 62.50% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 53 | 36 | 44 | 15 | 24 | 13 | 100.0% | 7.2% | 93.2% | 100.4 | DULL | |
| 15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 37 | 7 | 17 | 12 | 1 | 37 | 17 | 12 | 19 | 8 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 28 | 20 | 22 | 7 | 11 | 5 | 100.0% | 8.1% | 94.6% | 102.7 | DULL | |
| 16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 7 | 2 | 2 | 0 | 88 | 32 | 20 | 36 | 0 | 98 | 18 | 32 | 66 | 14 | 4 | 28.57% | 14 | 1 | 92.86% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 74 | 50 | 67 | 22 | 38 | 19 | 50.0% | 12.5% | 91.8% | 104.3 | LUCKY | |
| 17 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 0 | 3 | 1 | 73 | 27 | 20 | 23 | 6 | 53 | 17 | 16 | 52 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 49 | 33 | 48 | 15 | 26 | 13 | 57.1% | 8.2% | 88.7% | 96.9 | Unlucky | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 60 | 18 | 21 | 21 | 0 | 76 | 19 | 16 | 38 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 45 | 30 | 50 | 14 | 24 | 11 | 41.7% | 11.7% | 89.5% | 101.1 | FUN | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 43 | 14 | 15 | 14 | 0 | 21 | 6 | 2 | 25 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 27 | 20 | 20 | 6 | 12 | 6 | 75.0% | 11.6% | 95.2% | 106.9 | LUCKY | |
| 20 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 18 | 27 | 0 | 0 | 3 | 3 | 3 | 0 | 70 | 18 | 23 | 25 | 4 | 78 | 20 | 23 | 25 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 52 | 37 | 45 | 16 | 25 | 12 | 54.5% | 12.9% | 91.0% | 103.9 | FUN | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 37 | 9 | 11 | 17 | 0 | 29 | 9 | 6 | 17 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 27 | 20 | 21 | 6 | 11 | 5 | 66.7% | 5.4% | 96.6% | 102.0 | DULL | |
| 22 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 4 | 0 | 79 | 25 | 28 | 24 | 5 | 71 | 19 | 20 | 51 | 8 | 4 | 50.00% | 10 | 1 | 90.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 50 | 35 | 48 | 15 | 26 | 13 | 37.5% | 8.9% | 91.5% | 100.4 | Unlucky | |
| 23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 0 | 5 | 0 | 54 | 19 | 11 | 24 | 0 | 61 | 17 | 24 | 50 | 7 | 2 | 28.57% | 12 | 4 | 66.67% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 43 | 29 | 52 | 15 | 24 | 11 | 54.5% | 14.8% | 85.2% | 100.1 | FUN | |
| 24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 69 | 25 | 28 | 16 | 0 | 63 | 23 | 14 | 42 | 7 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 45 | 31 | 49 | 15 | 25 | 11 | 66.7% | 8.7% | 95.2% | 103.9 | DULL | |
| 25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 73 | 18 | 19 | 33 | 3 | 86 | 21 | 14 | 47 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 45 | 31 | 51 | 14 | 24 | 11 | 33.3% | 8.2% | 91.9% | 100.1 | DULL | |
| 26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 1 | 1 | 0 | 0 | 37 | 8 | 20 | 9 | 0 | 27 | 7 | 10 | 23 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 27 | 19 | 21 | 6 | 11 | 5 | 100.0% | 5.4% | 100.0% | 105.4 | DULL | |
| 27 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 11 | 18 | 0 | 0 | 4 | 3 | 0 | 0 | 91 | 37 | 27 | 27 | 0 | 94 | 21 | 32 | 68 | 13 | 3 | 23.08% | 14 | 1 | 92.86% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 74 | 50 | 69 | 22 | 37 | 19 | 36.4% | 7.7% | 91.5% | 99.2 | DULL | |
| 28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 63 | 19 | 22 | 20 | 2 | 47 | 14 | 18 | 37 | 10 | 2 | 20.00% | 9 | 3 | 66.67% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 51 | 35 | 45 | 14 | 25 | 13 | 80.0% | 9.5% | 91.5% | 101.0 | LUCKY | |
| 29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 64 | 24 | 16 | 24 | 0 | 61 | 18 | 21 | 45 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 51 | 35 | 42 | 15 | 26 | 13 | 50.0% | 9.4% | 88.5% | 97.9 | FUN | |
| _Vs Division | 15 | 10 | 4 | 0 | 0 | 0 | 0 | 1 | 53 | 37 | 16 | 21 | 0.700 | 53 | 95 | 148 | 0 | 1 | 25 | 10 | 18 | 0 | 514 | 186 | 170 | 156 | 5 | 468 | 144 | 142 | 309 | 61 | 17 | 27.87% | 67 | 5 | 92.54% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 367 | 255 | 347 | 113 | 190 | 95 | 52.9% | 10.3% | 92.1% | 102.4 | LUCKY | |
| _Vs Conference | 29 | 17 | 7 | 0 | 2 | 1 | 0 | 2 | 98 | 79 | 19 | 41 | 0.707 | 98 | 177 | 275 | 0 | 1 | 41 | 22 | 33 | 2 | 953 | 338 | 303 | 305 | 13 | 903 | 290 | 283 | 594 | 118 | 25 | 21.19% | 131 | 17 | 87.02% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 718 | 500 | 672 | 215 | 365 | 184 | 54.1% | 10.3% | 91.3% | 101.5 | LUCKY | |
| _Since Last GM Reset | 53 | 29 | 13 | 0 | 6 | 2 | 1 | 2 | 172 | 137 | 35 | 76 | 0.717 | 172 | 309 | 481 | 0 | 3 | 59 | 49 | 57 | 7 | 1807 | 588 | 588 | 602 | 38 | 1615 | 489 | 503 | 1089 | 228 | 48 | 21.05% | 231 | 36 | 84.42% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 1331 | 931 | 1221 | 394 | 666 | 337 | 55.1% | 9.5% | 91.5% | 101.0 | LUCKY | |
| Total | 53 | 29 | 13 | 0 | 6 | 2 | 1 | 2 | 172 | 137 | 35 | 76 | 0.717 | 172 | 309 | 481 | 0 | 3 | 59 | 49 | 57 | 7 | 1807 | 588 | 588 | 602 | 38 | 1615 | 489 | 503 | 1089 | 228 | 48 | 21.05% | 231 | 36 | 84.42% | 0 | 1060 | 1997 | 53.08% | 1001 | 1876 | 53.36% | 403 | 797 | 50.56% | 1331 | 931 | 1221 | 394 | 666 | 337 | 55.1% | 9.5% | 91.5% | 101.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1997 |
| Neutral Zone Start | 797 |
| Defensive Zone Start | 1876 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2464 |
| Faceoffs Lost | 2206 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.1 | 9.57 |
| 2nd Period | 22.2 | 20.31 |
| 3rd Period | 33.5 | 30.68 |
| Overtime | 34.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 124 |
|---|---|
| PP Goal | 48 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 16 | 20 |
| Lost | 6 | 7 |
| Overtime Lost | 2 | 2 |
| PP Attempt | 228 |
|---|---|
| PP Goal | 48 |
| PK Attempt | 231 |
| PK Goal Against | 36 |
| Home | |
|---|---|
| Shots For | 34.1 |
| Shots Against | 30.5 |
| Goals For | 3.2 |
| Goals Against | 2.6 |
| Hits | 20.5 |
| Shots Blocked | 9.2 |
| Pim | 9.5 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Mammoth3,Avalanche4 | RECAP | |||||||||||
| 2025-10-12 | @ | Mammoth4,Predators0 | RECAP | |||||||||||
| 2025-10-14 | @ | Mammoth5,Blackhawks1 | RECAP | |||||||||||
| 2025-10-16 | @ | Flames1,Mammoth2 | RECAP | |||||||||||
| 2025-10-18 | @ | Sharks1,Mammoth0 | RECAP | |||||||||||
| 2025-10-20 | @ | Bruins3,Mammoth2 | RECAP | |||||||||||
| 2025-10-22 | @ | Avalanche1,Mammoth4 | RECAP | |||||||||||
| 2025-10-24 | @ | Mammoth6,Blues3 | RECAP | |||||||||||
| 2025-10-26 | @ | Mammoth2,Wild6 | RECAP | |||||||||||
| 2025-10-27 | @ | Mammoth5,Jets3 | RECAP | |||||||||||
| 2025-10-29 | @ | Mammoth3,Oilers2 (OT) | RECAP | |||||||||||
| 2025-11-03 | @ | Lightning3,Mammoth4 (OT) | RECAP | |||||||||||
| 2025-11-05 | @ | Mammoth5,Sabres1 | RECAP | |||||||||||
| 2025-11-06 | @ | Mammoth3,Maple Leafs2 (OT) | RECAP | |||||||||||
| 2025-11-09 | @ | Mammoth5,Canadiens2 | RECAP | |||||||||||
| 2025-11-10 | @ | Mammoth1,Senators3 | RECAP | |||||||||||
| 2025-11-13 | @ | Sabres7,Mammoth2 | RECAP | |||||||||||
| 2025-11-15 | @ | Islanders2,Mammoth3 (OT) | RECAP | |||||||||||
| 2025-11-18 | @ | Mammoth4,Ducks7 | RECAP | |||||||||||
| 2025-11-19 | @ | Mammoth3,Sharks2 | RECAP | |||||||||||
| 2025-11-21 | @ | Golden Knights2,Mammoth3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Rangers2,Mammoth4 | RECAP | |||||||||||
| 2025-11-25 | @ | Golden Knights2,Mammoth3 | RECAP | |||||||||||
| 2025-11-27 | @ | Canadiens2,Mammoth3 | RECAP | |||||||||||
| 2025-11-29 | @ | Mammoth2,Stars1 | RECAP | |||||||||||
| 2025-11-30 | @ | Mammoth3,Blues2 | RECAP | |||||||||||
| 2025-12-02 | @ | Mammoth4,Sharks5 (OT) | RECAP | |||||||||||
| 2025-12-04 | @ | Mammoth4,Ducks2 | RECAP | |||||||||||
| 2025-12-06 | @ | Mammoth3,Canucks4 (SO) | RECAP | |||||||||||
| 2025-12-07 | @ | Mammoth5,Flames4 | RECAP | |||||||||||
| 2025-12-09 | @ | Kings3,Mammoth5 | RECAP | |||||||||||
| 2025-12-11 | @ | Panthers5,Mammoth4 (OT) | RECAP | |||||||||||
| 2025-12-13 | @ | Kraken4,Mammoth2 | RECAP | |||||||||||
| 2025-12-15 | @ | Mammoth2,Penguins0 | RECAP | |||||||||||
| 2025-12-17 | @ | Mammoth4,Bruins3 (SO) | RECAP | |||||||||||
| 2025-12-18 | @ | Mammoth4,Red Wings1 | RECAP | |||||||||||
| 2025-12-20 | @ | Devils2,Mammoth3 (OT) | RECAP | |||||||||||
| 2025-12-22 | @ | Jets3,Mammoth2 (SO) | RECAP | |||||||||||
| 2025-12-24 | @ | Mammoth4,Avalanche2 | RECAP | |||||||||||
| 2025-12-30 | @ | Predators2,Mammoth4 | RECAP | |||||||||||
| 2026-01-02 | @ | Mammoth5,Islanders4 | RECAP | |||||||||||
| 2026-01-04 | @ | Mammoth1,Devils2 | RECAP | |||||||||||
| 2026-01-06 | @ | Mammoth2,Rangers4 | RECAP | |||||||||||
| 2026-01-08 | @ | Senators1,Mammoth3 | RECAP | |||||||||||
| 2026-01-10 | @ | Blues3,Mammoth2 | RECAP | |||||||||||
| 2026-01-12 | @ | Blue Jackets1,Mammoth2 | RECAP | |||||||||||
| 2026-01-14 | @ | Maple Leafs5,Mammoth3 | RECAP | |||||||||||
| 2026-01-16 | @ | Stars2,Mammoth4 | RECAP | |||||||||||
| 2026-01-18 | @ | Kraken3,Mammoth4 | RECAP | |||||||||||
| 2026-01-22 | @ | Flyers1,Mammoth3 | RECAP | |||||||||||
| 2026-01-25 | @ | Mammoth3,Predators4 | RECAP | |||||||||||
| 2026-01-27 | @ | Mammoth1,Lightning0 | RECAP | |||||||||||
| 2026-01-28 | @ | Mammoth5,Panthers2 | RECAP | |||||||||||
| 2026-01-30 | @ | |||||||||||||
| 2026-02-01 | @ | |||||||||||||
| 2026-02-03 | @ | |||||||||||||
| 2026-02-05 | @ | |||||||||||||
| 2026-02-26 | @ | |||||||||||||
| 2026-02-28 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-10 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-17 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-08 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-13 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| 2026-04-17 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,550,000$ | 0$ | 94,136,976$ | 950,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Gila River Arena | |
| City | Utah | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 115$ | 82$ | 43$ | 25$ | 200$ |
| Attendance | 110190 | 76950 | 34543 | 93160 | 23038 |
| Attendance PCT | 76.52% | 64.13% | 71.96% | 97.04% | 95.99% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 17 | 14078 - 78.21% | 1,484,367$ | 35,624,805$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,550,000$ | 94,550,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 56,319,791$ | 492,448$ | 55,726,032$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 25,234,237$ | 78 | 497,656$ | 38,817,168$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 39,814,692$ | 94,550,000$ | 27,104,520$ | 12,524,065$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2027 | ||||||||
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| 2029 | ||||||||
| 2030 |
| 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) |
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| 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. |
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| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Antoine Dorion | 2024 | 178 | |||
| Bill Zonnon | 2025 | 29 | |||
| Casper Nassen | 2023 | 222 | |||
| Cooper Foster | 2023 | 186 | |||
| Daniel Salonen | 2025 | 189 | |||
| Dylan Mackinnon | 2023 | 98 | |||
| Ivan Vorobyov | 2021 | 207 | |||
| Jakub Konecny | |||||
| Joona Vaisanen | 2024 | 168 | |||
| Josh Pillar | 2021 | 143 | |||
| Julius Sumpf | 2025 | 79 | |||
| Landon Kosior | 2020 | 121 | |||
| Loke Johansson | 2024 | 154 | |||
| Max Plante | 2024 | 66 | |||
| Maxim Masse | 2024 | 39 | |||
| Melvin Strahl | 2023 | 134 | |||
| Michael Emerson | 2023 | 189 | |||
| Nate Misskey | 2024 | 158 | |||
| Oliver Johansson | 2021 | 97 | |||
| Olof Glifford | 2023 | 144 | |||
| Patrik Hamrla | 2021 | 89 | |||
| Philip Svedeback | 2021 | 124 | |||
| Tyson Galloway | 2021 | 161 |
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