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 | Full Scoreboard »» | 
| Utah Mammoth 7-4-0, 14pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  David Pastrnak | 88 | RW | 100.00 | 65 | 34 | 81 | 89 | 77 | 89 | 90 | 83 | 59 | 87 | 88 | 55 | 86 | 74 | 72 | 0 | 48 | 91 | 29 | 11,500,000$/6yrs | |||
|  Brandon Hagel | 38 | LW/RW | 100.00 | 64 | 32 | 76 | 83 | 73 | 89 | 90 | 79 | 59 | 83 | 82 | 73 | 80 | 70 | 68 | 0 | 48 | 88 | 27 | 6,500,000$/7yrs | |||
|  Mark Stone | 0 | RW | 100.00 | 62 | 34 | 89 | 77 | 87 | 88 | 84 | 76 | 58 | 84 | 74 | 77 | 75 | 81 | 91 | 0 | 48 | 87 | 33 | 9,500,000$/2yrs | |||
|  Anze Kopitar | 0 | C | 100.00 | 60 | 34 | 94 | 71 | 89 | 88 | 90 | 74 | 92 | 79 | 74 | 76 | 74 | 90 | 99 | 0 | 48 | 86 | 38 | 7,000,000$/2yrs | |||
|  Charlie Coyle | 0 | C/RW | 100.00 | 73 | 34 | 87 | 71 | 89 | 85 | 90 | 68 | 85 | 69 | 72 | 82 | 70 | 81 | 80 | 0 | 48 | 82 | 33 | 5,250,000$/1yrs | |||
|  Jason Zucker | 0 | LW/RW | 100.00 | 67 | 36 | 73 | 72 | 74 | 81 | 88 | 69 | 60 | 74 | 74 | 55 | 71 | 81 | 79 | 0 | 48 | 81 | 33 | 5,500,000$/5yrs | |||
|  Pavel Zacha | 0 | C/LW | 100.00 | 69 | 35 | 91 | 73 | 82 | 87 | 90 | 69 | 84 | 74 | 69 | 70 | 69 | 72 | 71 | 0 | 48 | 81 | 28 | 5,000,000$/3yrs | |||
|  Frederick Gaudreau | 0 | C/LW | 100.00 | 62 | 32 | 96 | 65 | 72 | 81 | 90 | 63 | 83 | 65 | 69 | 76 | 66 | 79 | 79 | 0 | 48 | 78 | 32 | 3,100,000$/4yrs | |||
|  Nick Bjugstad | 69 | C/RW | 100.00 | 75 | 35 | 82 | 63 | 87 | 81 | 87 | 65 | 82 | 65 | 69 | 69 | 67 | 80 | 79 | 0 | 48 | 78 | 33 | 2,250,000$/1yrs | |||
|  Michael Amadio | 10 | C/RW | 100.00 | 69 | 33 | 91 | 60 | 80 | 79 | 88 | 63 | 62 | 63 | 66 | 61 | 64 | 73 | 73 | 0 | 48 | 74 | 29 | 2,750,000$/3yrs | |||
|  Oskar Sundqvist | 0 | C/RW | 100.00 | 70 | 34 | 84 | 58 | 88 | 78 | 86 | 60 | 77 | 64 | 60 | 72 | 60 | 77 | 76 | 0 | 48 | 74 | 31 | 1,600,000$/2yrs | |||
|  Justin Brazeau | 0 | LW/RW | 100.00 | 77 | 34 | 92 | 63 | 90 | 75 | 80 | 59 | 58 | 60 | 66 | 59 | 63 | 70 | 69 | 0 | 48 | 74 | 27 | 2,500,000$/3yrs | |||
|  Ryan McDonagh (A) | 72 | D | 100.00 | 59 | 35 | 90 | 64 | 84 | 91 | 89 | 65 | 30 | 71 | 56 | 81 | 61 | 86 | 85 | 0 | 48 | 81 | 36 | 6,750,000$/1yrs | |||
|  Jacob Middleton | 0 | D | 100.00 | 76 | 49 | 73 | 60 | 87 | 91 | 88 | 64 | 30 | 64 | 62 | 82 | 63 | 74 | 72 | 0 | 48 | 79 | 29 | 3,500,000$/3yrs | |||
|  Jamie Oleksiak | 0 | D | 100.00 | 69 | 36 | 85 | 56 | 99 | 88 | 90 | 62 | 30 | 61 | 55 | 85 | 59 | 80 | 78 | 0 | 48 | 77 | 32 | 5,000,000$/4yrs | |||
|  Ryan Lindgren | 0 | D | 100.00 | 69 | 32 | 81 | 60 | 74 | 87 | 88 | 62 | 30 | 66 | 57 | 78 | 59 | 71 | 69 | 0 | 48 | 77 | 27 | 4,500,000$/5yrs | |||
|  Niko Mikkola | 0 | D | 100.00 | 80 | 35 | 70 | 55 | 85 | 89 | 90 | 58 | 30 | 63 | 58 | 70 | 58 | 73 | 70 | 0 | 48 | 75 | 29 | 2,750,000$/3yrs | |||
|  Will Borgen | 0 | D | 100.00 | 78 | 41 | 78 | 56 | 82 | 85 | 90 | 59 | 30 | 63 | 57 | 69 | 58 | 72 | 70 | 0 | 48 | 74 | 28 | 3,000,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 69 | 35 | 84 | 66 | 83 | 85 | 88 | 67 | 58 | 70 | 67 | 72 | 67 | 77 | 77 | 0 | 48 | 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 | 81 | 95 | 83 | 76 | 92 | 84 | 92 | 94 | 92 | 96 | 92 | 71 | 76 | 0 | 51 | 91 | 27 | 4,500,000$/5yrs | 
|  Jet Greaves | 0 | 100.00 | 89 | 67 | 68 | 74 | 83 | 68 | 84 | 81 | 81 | 81 | 84 | 66 | 70 | 0 | 46 | 81 | 24 | 900,000$/1yrs | 
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 85 | 81 | 76 | 75 | 88 | 76 | 88 | 88 | 87 | 89 | 88 | 69 | 73 | 0 | 49 | 86 | |||
| 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 | Mark Stone | 0 | RW | 11 | 3 | 13 | 16 | 6 | 2 | 0 | 3 | 40 | 12 | 32 | 7.50% | 2 | 17.05 | 1 | 6 | 7 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 15 | 0 | 0 | 0 | 0 | 1.71 | 0 | 0 | |
| 2 | Anze Kopitar | 0 | C | 11 | 1 | 11 | 12 | 2 | 4 | 0 | 6 | 42 | 10 | 26 | 2.38% | 2 | 21.32 | 0 | 4 | 4 | 48 | 0 | 0 | 0 | 1 | 1 | 0 | 59.46% | 333 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | |
| 3 | Charlie Coyle | 0 | C/RW | 11 | 6 | 6 | 12 | 6 | 2 | 0 | 26 | 28 | 10 | 17 | 21.43% | 3 | 19.38 | 2 | 3 | 5 | 37 | 0 | 0 | 0 | 29 | 2 | 1 | 53.96% | 265 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | |
| 4 | David Pastrnak | 88 | RW | 11 | 5 | 7 | 12 | 2 | 6 | 0 | 13 | 62 | 21 | 32 | 8.06% | 1 | 21.30 | 1 | 1 | 2 | 48 | 0 | 0 | 0 | 0 | 1 | 1 | 50.00% | 10 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | |
| 5 | Pavel Zacha | 0 | C/LW | 11 | 3 | 5 | 8 | -1 | 2 | 0 | 12 | 26 | 11 | 27 | 11.54% | 2 | 14.06 | 1 | 4 | 5 | 39 | 0 | 0 | 0 | 0 | 0 | 1 | 45.00% | 60 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | |
| 6 | Jacob Middleton | 0 | D | 11 | 3 | 4 | 7 | -1 | 12 | 0 | 34 | 17 | 4 | 13 | 17.65% | 17 | 23.46 | 2 | 2 | 4 | 38 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 7 | Brandon Hagel | 38 | LW/RW | 11 | 6 | 1 | 7 | 0 | 4 | 0 | 17 | 39 | 12 | 25 | 15.38% | 0 | 19.86 | 2 | 0 | 2 | 46 | 0 | 0 | 0 | 0 | 1 | 0 | 58.82% | 17 | 0 | 0 | 0 | 1 | 0.64 | 0 | 0 | |
| 8 | Jason Zucker | 0 | LW/RW | 11 | 3 | 3 | 6 | 8 | 6 | 0 | 27 | 17 | 7 | 14 | 17.65% | 0 | 18.24 | 0 | 0 | 0 | 45 | 0 | 0 | 0 | 2 | 1 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 9 | Ryan McDonagh | 72 | D | 11 | 2 | 4 | 6 | 1 | 4 | 0 | 8 | 20 | 7 | 15 | 10.00% | 22 | 24.73 | 2 | 0 | 2 | 47 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 10 | Jamie Oleksiak | 0 | D | 11 | 1 | 4 | 5 | 2 | 10 | 0 | 6 | 7 | 1 | 6 | 14.29% | 22 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 11 | Ryan Lindgren | 0 | D | 11 | 1 | 2 | 3 | 4 | 4 | 0 | 7 | 6 | 1 | 5 | 16.67% | 19 | 12.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 12 | Oskar Sundqvist | 0 | C/RW | 11 | 1 | 1 | 2 | 0 | 2 | 0 | 14 | 11 | 1 | 8 | 9.09% | 1 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 1 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 13 | Will Borgen | 0 | D | 11 | 1 | 1 | 2 | 3 | 10 | 0 | 16 | 10 | 2 | 6 | 10.00% | 5 | 15.36 | 1 | 0 | 1 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 14 | Frederick Gaudreau | 0 | C/LW | 11 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | 21 | 6 | 18 | 0.00% | 1 | 14.55 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 40 | 0 | 0 | 57.03% | 128 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 15 | Niko Mikkola | 0 | D | 11 | 0 | 1 | 1 | 2 | 14 | 0 | 31 | 0 | 2 | 3 | 0.00% | 13 | 19.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 16 | Michael Amadio | 10 | C/RW | 11 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 11 | 1 | 5 | 0.00% | 1 | 5.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Nick Bjugstad | 69 | C/RW | 11 | 0 | 0 | 0 | -2 | 4 | 0 | 12 | 10 | 3 | 9 | 0.00% | 1 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 56.69% | 127 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Justin Brazeau | 0 | LW/RW | 11 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 6 | 3 | 2 | 0.00% | 0 | 5.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 198 | 36 | 64 | 100 | 28 | 90 | 0 | 240 | 373 | 114 | 263 | 9.65% | 112 | 16.29 | 12 | 20 | 32 | 433 | 0 | 0 | 0 | 284 | 7 | 4 | 55.95% | 992 | 0 | 0 | 0 | 1 | 0.62 | 0 | 0 | 
| Priority | Type | Description | 
|---|---|---|
| 1 | |or OR  | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar | 
| 2 |  && or AND  | Logical "and". Filter the column for content that matches text from either side of the operator. | 
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) | 
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query | 
| 5 | !or!= | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal ( =), single (') or double quote (") to exactly not match a filter. | 
| 6 | "or= | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query | 
| 7 |  - or to  | Find a range of values. Make sure there is a space before and after the dash (or the word "to") | 
| 8 | ? | Wildcard for a single, non-space character. | 
| 8 | * | Wildcard for zero or more non-space characters. | 
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query | 
| 10 | text | Any text entered in the filter will match text found within the column | 
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Gustavsson | 10 | 6 | 3 | 0 | 0.936 | 1.82 | 560 | 0 | 1 | 17 | 264 | 0 | 1 | 0 | 0.000 | 0 | 9 | 2 | 1 | 2 | 1 | |
| 2 | Jet Greaves | 2 | 1 | 1 | 0 | 0.846 | 4.75 | 101 | 0 | 0 | 8 | 52 | 0 | 0 | 0 | 0.000 | 0 | 2 | 9 | 0 | 0 | 0 | |
| Team Total or Average | 12 | 7 | 4 | 0 | 0.921 | 2.27 | 662 | 0 | 1 | 25 | 316 | 0 | 1 | 0 | 0.000 | 0 | 11 | 11 | 1 | 2 | 1 | 
| Projected Total Cap Hit | 93,404,187$ | 
| Projected Cap Space | 2,095,813$ | 
| Retains And Buyout Cap Hit | 0$ | 
| Salary Cap To Date | 11,722,923$ | 
| 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 | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
| Jamie Oleksiak  | D | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
| Jason Zucker  | LW/RW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
| Jet Greaves   | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
| 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 | ||||||
| Will Borgen  | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 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$ |  RFA | ||||||
| Andrei Loshko   | LW/RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
| Anthony Richard   | C/LW | 28 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
| Brady Lyle   | D | 26 | 1,100,000$ | 1,100,000$ |  RFA | ||||||
| Carter Savoie   | LW | 23 | 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$ |  RFA | |||||
| Felix Sandstrom   | G | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Fredrik Karlstrom   | C | 27 | 800,000$ | 800,000$ |  RFA | ||||||
| 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$ |  RFA | ||||||
| Joe Snively   | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
| Joey Larson   | LW/RW | 24 | 823,750$ | 823,750$ | RFA | ||||||
| Jonah Gadjovich   | LW | 27 | 800,000$ | 800,000$ |  RFA | ||||||
| Judd Caulfield   | LW/RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
| Louka Heneault   | D | 24 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| Luke Cavallin   | G | 24 | 975,000$ | 975,000$ | 975,000$ |  RFA | |||||
| Marc Del Gaizo   | D | 26 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| 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$ |  RFA | ||||
| Riley Duran   | C | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
| Rodrigo Abols   | C | 29 | 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$ |  RFA | |||||
| Vittorio Mancini   | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Will Zmolek   | D | 26 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| William Rousseau   | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
| Yegor Sokolov   | LW/RW | 25 | 1,000,000$ | 1,000,000$ |  RFA | ||||||
| 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 42 | 18 | 8 | 16 | 0 | 29 | 16 | 6 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 26 | 19 | 22 | 6 | 10 | 6 | 66.7% | 4.8% | 96.6% | 101.3 | DULL | |
| 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 4 | 1 | 2 | 0 | 57 | 24 | 18 | 15 | 0 | 60 | 30 | 18 | 38 | 9 | 4 | 44.44% | 8 | 0 | 100.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 46 | 31 | 47 | 15 | 26 | 12 | 37.5% | 12.3% | 91.7% | 103.9 | LUCKY | |
| 3 | 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 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 20 | 13 | 26 | 8 | 12 | 5 | 16.7% | 6.5% | 82.9% | 89.3 | Unlucky | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 2 | 0 | 2 | 0 | 35 | 20 | 6 | 9 | 0 | 31 | 11 | 8 | 22 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 23 | 16 | 23 | 6 | 12 | 6 | 100.0% | 11.4% | 100.0% | 111.4 | LUCKY | |
| 5 | 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 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 28 | 20 | 22 | 7 | 11 | 5 | 100.0% | 8.1% | 94.6% | 102.7 | DULL | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 26 | 11 | 4 | 11 | 0 | 29 | 3 | 8 | 21 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 27 | 18 | 19 | 6 | 13 | 7 | 71.4% | 23.1% | 89.7% | 112.7 | FUN | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 16 | 9 | 11 | 0 | 21 | 9 | 8 | 23 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 24 | 16 | 22 | 7 | 13 | 6 | 66.7% | 5.6% | 85.7% | 91.3 | Unlucky | |
| 8 | 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 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 27 | 20 | 20 | 6 | 12 | 6 | 75.0% | 11.6% | 95.2% | 106.9 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 39 | 9 | 16 | 14 | 0 | 28 | 7 | 6 | 29 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 24 | 16 | 23 | 7 | 12 | 6 | 40.0% | 12.8% | 89.3% | 102.1 | FUN | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 8 | 8 | 11 | 0 | 25 | 6 | 8 | 25 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 23 | 15 | 23 | 7 | 13 | 6 | nan% | 0.0% | 96.0% | 96.0 | DULL | |
| _Vs Division | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 29 | 18 | 11 | 10 | 0.714 | 29 | 51 | 80 | 0 | 1 | 12 | 5 | 12 | 0 | 231 | 90 | 68 | 73 | 0 | 204 | 64 | 56 | 153 | 29 | 12 | 41.38% | 25 | 2 | 92.00% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 169 | 116 | 160 | 51 | 89 | 45 | 51.5% | 12.6% | 91.2% | 103.7 | LUCKY | |
| _Vs Conference | 10 | 6 | 3 | 0 | 1 | 0 | 0 | 0 | 34 | 22 | 12 | 14 | 0.700 | 34 | 60 | 94 | 0 | 1 | 13 | 6 | 14 | 1 | 337 | 123 | 101 | 112 | 1 | 295 | 103 | 82 | 217 | 46 | 12 | 26.09% | 37 | 5 | 86.49% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 247 | 171 | 229 | 72 | 125 | 64 | 56.4% | 10.1% | 92.5% | 102.6 | LUCKY | |
| _Since Last GM Reset | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 36 | 25 | 11 | 14 | 0.636 | 36 | 64 | 100 | 0 | 1 | 14 | 6 | 15 | 1 | 373 | 139 | 110 | 123 | 1 | 316 | 112 | 90 | 240 | 50 | 12 | 24.00% | 41 | 7 | 82.93% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 271 | 188 | 251 | 80 | 139 | 70 | 57.1% | 9.7% | 92.1% | 101.7 | LUCKY | |
| Total | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 36 | 25 | 11 | 14 | 0.636 | 36 | 64 | 100 | 0 | 1 | 14 | 6 | 15 | 1 | 373 | 139 | 110 | 123 | 1 | 316 | 112 | 90 | 240 | 50 | 12 | 24.00% | 41 | 7 | 82.93% | 0 | 235 | 421 | 55.82% | 225 | 389 | 57.84% | 95 | 179 | 53.07% | 271 | 188 | 251 | 80 | 139 | 70 | 57.1% | 9.7% | 92.1% | 101.7 | LUCKY | 
| Puck Time | |
|---|---|
| Offensive Zone | 24 | 
| Neutral Zone | 12 | 
| Defensive Zone | 22 | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 421 | 
| Neutral Zone Start | 179 | 
| Defensive Zone Start | 389 | 
| Puck Time | |
|---|---|
| With Puck | 30 | 
| Without Puck | 29 | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 555 | 
| Faceoffs Lost | 434 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.6 | 9.57 | 
| 2nd Period | 22.6 | 20.31 | 
| 3rd Period | 33.8 | 30.68 | 
| Overtime | 33.9 | 31.4 | 
| Goals in | Team Average Goals after | League Average Goals after | 
|---|---|---|
| 1st Period | 1.3 | 0.64 | 
| 2nd Period | 1.8 | 1.65 | 
| 3rd Period | 3.2 | 2.67 | 
| Overtime | 3.3 | 2.83 | 
| Even Strenght Goal | 24 | 
|---|---|
| PP Goal | 12 | 
| PK Goal | 0 | 
| Empty Net Goal | 0 | 
| Home | Away | |
|---|---|---|
| Win | 2 | 5 | 
| Lost | 2 | 2 | 
| Overtime Lost | 0 | 0 | 
| PP Attempt | 50 | 
|---|---|
| PP Goal | 12 | 
| PK Attempt | 41 | 
| PK Goal Against | 7 | 
| Home | |
|---|---|
| Shots For | 33.9 | 
| Shots Against | 28.7 | 
| Goals For | 3.3 | 
| Goals Against | 2.3 | 
| Hits | 21.8 | 
| Shots Blocked | 10.2 | 
| Pim | 8.2 | 
| Date | Matchup | Result | Detail | |||||||||||
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| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space | 
| 93,350,000$ | 0$ | 93,404,187$ | 2,150,000$ | 
| Arena | Goal Horn | About us | |
|---|---|---|---|
|   | Name | Gila River Arena | |
| City | Utah | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |  | 
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 | 
| Ticket Price | 115$ | 82$ | 43$ | 25$ | 200$ | 
| Attendance | 17927 | 13110 | 5433 | 15363 | 3534 | 
| Attendance PCT | 74.70% | 65.55% | 67.91% | 96.02% | 88.35% | 
| Income | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |   | 
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity | 
| 37 | 13842 - 76.90% | 1,449,864$ | 5,799,454$ | 18000 | 100 | 
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value | 
| 93,350,000$ | 93,350,000$ | 0$ | 0$ | 
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | 
|---|---|---|---|
| 11,847,915$ | 486,198$ | 11,722,923$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 53,644,950$ | 168 | 491,406$ | 82,556,208$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 84,913,992$ | 93,350,000$ | 43,111,305$ | 11,842,263$ | 
 Rookie
 Rookie Injured
Injured  Cold Streak
Cold Streak  Hot 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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| 2026 | ||||||||
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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 | 
| 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 | |||
| 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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