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 | Full Scoreboard »» | 
| Nashville Predators 5-5-2, 12pts · 10th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Macklin Celebrini | 0 | C | 97.00 | 62 | 32 | 86 | 82 | 74 | 89 | 76 | 72 | 85 | 78 | 78 | 61 | 75 | 56 | 55 | 0 | 39 | 83 | 19 | 975,000$/2yrs | |||
|  Maxim Shabanov | 0 | C/RW | 97.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 39 | 82 | 25 | 975,000$/1yrs | |||
|  Anders Lee | 0 | LW | 99.00 | 77 | 42 | 78 | 66 | 93 | 83 | 90 | 68 | 60 | 66 | 74 | 60 | 71 | 84 | 95 | 0 | 39 | 80 | 35 | 7,000,000$/1yrs | |||
|  Alex Killorn | 0 | LW/RW | 100.00 | 68 | 33 | 80 | 65 | 77 | 86 | 87 | 66 | 59 | 66 | 72 | 68 | 69 | 85 | 83 | 0 | 39 | 79 | 36 | 5,350,000$/2yrs | |||
|  Reilly Smith | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 66 | 74 | 82 | 89 | 64 | 58 | 70 | 66 | 68 | 65 | 83 | 82 | 0 | 39 | 78 | 34 | 5,000,000$/3yrs | |||
|  Bobby McMann | 17 | C | 100.00 | 79 | 39 | 79 | 68 | 82 | 78 | 85 | 66 | 58 | 62 | 72 | 59 | 69 | 73 | 71 | 0 | 39 | 77 | 29 | 1,750,000$/2yrs | |||
|  Ryan Strome | 0 | C/RW | 100.00 | 64 | 42 | 67 | 67 | 76 | 83 | 90 | 64 | 79 | 72 | 63 | 58 | 64 | 78 | 75 | 0 | 39 | 76 | 32 | 6,000,000$/1yrs | |||
|  Luca Del Bel Belluz (R) | 0 | C | 100.00 | 57 | 32 | 99 | 69 | 73 | 78 | 67 | 65 | 78 | 72 | 67 | 59 | 66 | 60 | 60 | 0 | 45 | 76 | 21 | 891,667$/1yrs | |||
|  Luke Evangelista | 0 | RW | 100.00 | 59 | 32 | 90 | 67 | 72 | 79 | 88 | 65 | 56 | 68 | 66 | 53 | 65 | 63 | 62 | 0 | 39 | 75 | 23 | 3,000,000$/2yrs | |||
|  Andre Burakovsky | 0 | LW/RW | 100.00 | 59 | 33 | 92 | 62 | 84 | 80 | 85 | 63 | 60 | 67 | 63 | 55 | 63 | 75 | 75 | 0 | 39 | 74 | 30 | 5,750,000$/3yrs | |||
|  Collin Graf | 0 | C/RW | 100.00 | 63 | 33 | 92 | 65 | 77 | 82 | 71 | 61 | 59 | 63 | 63 | 72 | 62 | 62 | 62 | 0 | 39 | 74 | 23 | 941,667$/1yrs | |||
|  Nathan Walker | 0 | LW | 100.00 | 91 | 47 | 76 | 55 | 70 | 75 | 83 | 59 | 62 | 59 | 63 | 69 | 61 | 77 | 75 | 0 | 36 | 73 | 31 | 1,000,000$/2yrs | |||
|  Ben Chiarot | 0 | D | 99.00 | 78 | 36 | 73 | 55 | 92 | 90 | 90 | 59 | 30 | 61 | 58 | 77 | 58 | 82 | 80 | 0 | 39 | 76 | 34 | 4,750,000$/1yrs | |||
|  Nick Seeler | 35 | D | 99.00 | 76 | 43 | 74 | 55 | 80 | 84 | 88 | 60 | 30 | 63 | 54 | 78 | 57 | 79 | 76 | 0 | 40 | 76 | 32 | 2,700,000$/3yrs | |||
|  Rasmus Ristolainen | 0 | D | 100.00 | 75 | 34 | 91 | 55 | 89 | 88 | 80 | 59 | 30 | 63 | 57 | 71 | 58 | 76 | 75 | 0 | 39 | 75 | 31 | 5,100,000$/2yrs | |||
|  Adam Boqvist | 0 | D | 100.00 | 59 | 32 | 94 | 63 | 71 | 83 | 76 | 57 | 30 | 67 | 59 | 56 | 58 | 66 | 65 | 0 | 39 | 74 | 25 | 3,000,000$/2yrs | |||
|  Simon Nemec | 0 | D | 100.00 | 57 | 35 | 81 | 63 | 75 | 86 | 79 | 59 | 30 | 64 | 58 | 67 | 58 | 60 | 58 | 0 | 35 | 74 | 21 | 918,333$/1yrs | |||
|  Jonas Siegenthaler | 0 | D | 100.00 | 73 | 34 | 80 | 55 | 86 | 88 | 82 | 57 | 30 | 60 | 54 | 72 | 56 | 72 | 70 | 0 | 39 | 73 | 28 | 3,400,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
|  Andreas Athanasiou | 0 | LW/RW | 100.00 | 61 | 40 | 93 | 60 | 76 | 76 | 71 | 60 | 76 | 63 | 59 | 68 | 60 | 76 | 76 | 0 | 28 | 73 | 31 | 4,800,000$/2yrs | |||
|  Logan Couture | 0 | C | 100.00 | 74 | 36 | 90 | 74 | 81 | 87 | 79 | 73 | 86 | 30 | 30 | 30 | 74 | 85 | 99 | 0 | 26 | 63 | 36 | 8,000,000$/1yrs | |||
|  Oliver Kylington | 0 | D | 100.00 | 61 | 32 | 86 | 56 | 72 | 81 | 73 | 55 | 30 | 62 | 59 | 64 | 57 | 72 | 70 | 0 | 28 | 72 | 28 | 3,250,000$/1yrs | |||
|  Matt Dumba | 0 | D | 100.00 | 79 | 39 | 64 | 55 | 71 | 85 | 87 | 55 | 30 | 59 | 55 | 68 | 55 | 76 | 73 | 0 | 32 | 72 | 31 | 5,000,000$/1yrs | |||
| TEAM AVERAGE | 99.59 | 68 | 36 | 84 | 64 | 77 | 83 | 82 | 63 | 53 | 64 | 62 | 64 | 63 | 73 | 73 | 0 | 37 | 75 | |||||||
| 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 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Leevi Merilainen | 0 | 100.00 | 83 | 64 | 67 | 67 | 85 | 69 | 83 | 82 | 75 | 87 | 83 | 63 | 68 | 0 | 35 | 80 | 23 | 1,200,000$/3yrs | 
| Scratches | ||||||||||||||||||||
|  Pheonix Copley | 0 | 94.00 | 60 | 63 | 66 | 83 | 61 | 67 | 64 | 76 | 67 | 73 | 64 | 80 | 83 | 0 | 41 | 74 | 33 | 975,000$/2yrs | 
|  Drew Commesso | 0 | 100.00 | 60 | 61 | 65 | 74 | 57 | 60 | 60 | 60 | 60 | 64 | 60 | 62 | 65 | 0 | 42 | 67 | 23 | 925,000$/1yrs | 
| TEAM AVERAGE | 98.00 | 68 | 63 | 66 | 75 | 68 | 65 | 69 | 73 | 67 | 75 | 69 | 68 | 72 | 0 | 39 | 74 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Steve Ott | 60 | 65 | 68 | 68 | 59 | 55 | 86 | CAN | 43 | 4 | 500,000$ | 
| General Manager | Félix Fortier | 
|---|
| 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 | Macklin Celebrini | 0 | C | 12 | 2 | 12 | 14 | 3 | 2 | 0 | 13 | 43 | 14 | 36 | 4.65% | 4 | 23.25 | 0 | 2 | 2 | 44 | 0 | 0 | 0 | 43 | 0 | 0 | 50.75% | 402 | 0 | 0 | 0 | 0 | 1.00 | 0 | 1 | |
| 2 | Maxim Shabanov | 0 | C/RW | 12 | 6 | 4 | 10 | 3 | 2 | 0 | 6 | 43 | 17 | 33 | 13.95% | 4 | 22.89 | 2 | 1 | 3 | 44 | 0 | 0 | 0 | 41 | 0 | 0 | 38.46% | 26 | 0 | 0 | 0 | 0 | 0.73 | 0 | 1 | |
| 3 | Anders Lee | 0 | LW | 12 | 5 | 4 | 9 | 4 | 10 | 0 | 49 | 26 | 3 | 22 | 19.23% | 0 | 20.87 | 1 | 1 | 2 | 44 | 0 | 0 | 0 | 18 | 1 | 0 | 41.86% | 43 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 | |
| 4 | Alex Killorn | 0 | LW/RW | 12 | 2 | 6 | 8 | -4 | 6 | 0 | 13 | 45 | 11 | 40 | 4.44% | 1 | 19.04 | 1 | 2 | 3 | 43 | 0 | 0 | 0 | 21 | 1 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 5 | Bobby McMann | 17 | C | 12 | 2 | 6 | 8 | -4 | 8 | 0 | 32 | 31 | 10 | 26 | 6.45% | 0 | 17.00 | 0 | 3 | 3 | 42 | 0 | 0 | 0 | 0 | 1 | 0 | 40.71% | 280 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
| 6 | Nick Seeler | 35 | D | 12 | 2 | 5 | 7 | -2 | 15 | 5 | 21 | 8 | 5 | 11 | 25.00% | 16 | 25.00 | 0 | 2 | 2 | 45 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 7 | Reilly Smith | 0 | LW/RW | 12 | 2 | 4 | 6 | -4 | 0 | 0 | 4 | 35 | 11 | 33 | 5.71% | 2 | 17.13 | 1 | 2 | 3 | 43 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 8 | Andre Burakovsky | 0 | LW/RW | 12 | 1 | 3 | 4 | 2 | 0 | 0 | 3 | 17 | 6 | 12 | 5.88% | 3 | 10.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 9 | Ben Chiarot | 0 | D | 12 | 1 | 3 | 4 | -1 | 8 | 0 | 36 | 12 | 6 | 10 | 8.33% | 23 | 25.44 | 1 | 0 | 1 | 46 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 10 | Rasmus Ristolainen | 0 | D | 12 | 2 | 2 | 4 | 2 | 12 | 0 | 26 | 20 | 1 | 8 | 10.00% | 17 | 20.71 | 1 | 0 | 1 | 42 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 11 | Ryan Strome | 0 | C/RW | 12 | 1 | 2 | 3 | 2 | 2 | 0 | 12 | 10 | 3 | 16 | 10.00% | 0 | 10.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 44.93% | 138 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 12 | Luke Evangelista | 0 | RW | 12 | 2 | 1 | 3 | 2 | 0 | 0 | 1 | 17 | 5 | 6 | 11.76% | 1 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 13 | Jonas Siegenthaler | 0 | D | 12 | 1 | 1 | 2 | -1 | 6 | 0 | 17 | 9 | 2 | 5 | 11.11% | 13 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 14 | Matt Dumba | 0 | D | 6 | 0 | 2 | 2 | 0 | 12 | 0 | 13 | 3 | 1 | 2 | 0.00% | 5 | 14.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 15 | Adam Boqvist | 0 | D | 12 | 1 | 1 | 2 | 2 | 0 | 0 | 7 | 13 | 5 | 6 | 7.69% | 15 | 20.91 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 16 | Collin Graf | 0 | C/RW | 12 | 1 | 1 | 2 | -2 | 2 | 0 | 3 | 11 | 3 | 3 | 9.09% | 2 | 8.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 41.60% | 125 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 17 | Nathan Walker | 0 | LW | 12 | 0 | 1 | 1 | -2 | 13 | 5 | 10 | 9 | 2 | 6 | 0.00% | 1 | 7.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 18 | Simon Nemec | 0 | D | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 7 | 14.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 19 | Luca Del Bel Belluz | 0 | C | 6 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 9 | 0 | 2 | 11.11% | 0 | 7.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| Team Total or Average | 210 | 32 | 59 | 91 | -2 | 98 | 10 | 267 | 363 | 105 | 278 | 8.82% | 114 | 16.65 | 7 | 13 | 20 | 442 | 0 | 0 | 0 | 281 | 5 | 3 | 45.09% | 1069 | 0 | 0 | 0 | 0 | 0.52 | 0 | 3 | 
| 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 | Leevi Merilainen | 7 | 3 | 3 | 1 | 0.928 | 2.42 | 397 | 4 | 0 | 16 | 223 | 0 | 0 | 1 | 0.667 | 3 | 7 | 5 | 3 | 0 | 0 | |
| 2 | Pheonix Copley | 6 | 2 | 2 | 1 | 0.891 | 3.68 | 326 | 0 | 0 | 20 | 184 | 0 | 0 | 0 | 0.000 | 0 | 5 | 7 | 0 | 0 | 0 | |
| Team Total or Average | 13 | 5 | 5 | 2 | 0.912 | 2.98 | 724 | 4 | 0 | 36 | 407 | 0 | 0 | 1 | 0.667 | 3 | 12 | 12 | 3 | 0 | 0 | 
| Projected Total Cap Hit | 73,697,098$ | 
| Projected Cap Space | 21,802,902$ | 
| Retains And Buyout Cap Hit | 0$ | 
| Salary Cap To Date | 9,273,802$ | 
| Players In Salary Cap | 24 | 
| LTIR Players | 1 | 
| Predators Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Boqvist  | D | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
| Alex Killorn  | LW/RW | 36 | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |||||
| Anders Lee  | LW | 35 | 7,000,000$ | 7,000,000$ | UFA | ||||||
| Andre Burakovsky  | LW/RW | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
| Andreas Athanasiou  | LW/RW | 31 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
| Ben Chiarot  | D | 34 | 4,750,000$ | 4,750,000$ | UFA | ||||||
| Bobby McMann  | C | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
| Collin Graf   | C/RW | 23 | 941,667$ | 941,667$ | RFA | ||||||
| Drew Commesso   | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
| Jonas Siegenthaler  | D | 28 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
| Leevi Merilainen   | G | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
| Logan Couture  | C | 36 | 8,000,000$ | 8,000,000$ | UFA | ||||||
| Luca Del Bel Belluz   | C | 21 | 891,667$ | 891,667$ | RFA | ||||||
| Luke Evangelista  | RW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
| Macklin Celebrini   | C | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Matt Dumba  | D | 31 | 5,000,000$ | 5,000,000$ | UFA | ||||||
| Maxim Shabanov   | C/RW | 25 | 975,000$ | 975,000$ | RFA | ||||||
| Nathan Walker   | LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Nick Seeler  | D | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||
| Oliver Kylington  | D | 28 | 3,250,000$ | 3,250,000$ | UFA | ||||||
| Pheonix Copley  | G | 33 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Rasmus Ristolainen  | D | 31 | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | |||||
| Reilly Smith  | LW/RW | 34 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
| Ryan Strome  | C/RW | 32 | 6,000,000$ | 6,000,000$ | UFA | ||||||
| Simon Nemec   | D | 21 | 918,333$ | 918,333$ | RFA | 
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer   | LW/RW | 28 | 925,000$ | 925,000$ | UFA | ||||||
| Aleksi Heimosalmi   | D | 22 | 806,000$ | 806,000$ | RFA | ||||||
| Andrew Gibson   | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
| Beau Akey   | D | 20 | 895,000$ | 895,000$ | RFA | ||||||
| Ben Hemmerling   | RW | 21 | 844,167$ | 844,167$ | RFA | ||||||
| Carter Mazur   | LW | 23 | 905,833$ | 905,833$ | RFA | ||||||
| Cole Clayton   | D | 25 | 900,000$ | 900,000$ | 900,000$ |  RFA | |||||
| Cole Schwindt   | C/RW | 24 | 875,000$ | 875,000$ | RFA | ||||||
| Connor Punnett   | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Eduards Tralmaks   | C/LW/RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
| Ethan Bear   | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Felix Unger Sorum   | RW | 20 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
| Henry Thrun   | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
| Hunter Skinner   | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
| Ilya Solovyov   | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
| Isaiah George   | D | 21 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
| Jackson Parsons    | G | 20 | 829,167$ | 829,167$ | 829,167$ | 829,167$ | RFA | ||||
| Jansen Harkins   | C/LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Joey Keane   | D | 26 | 900,000$ | 900,000$ |  RFA | ||||||
| Jonathan Gruden   | LW | 25 | 850,000$ | 850,000$ |  RFA | ||||||
| Josh Dunne   | C | 26 | 800,000$ | 800,000$ | 800,000$ |  RFA | |||||
| Lukas Parik   | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
| Mathias Emilio Pettersen   | C/LW | 25 | 875,000$ | 875,000$ |  RFA | ||||||
| Matthew Phillips   | C/LW | 27 | 0$ |  RFA | |||||||
| Nikita Alexandrov   | C | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
| Nikita Quapp   | G | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Nikita Tolopilo   | G | 25 | 950,000$ | 950,000$ | 950,000$ |  RFA | |||||
| Oliver Chau   | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Oskar Olausson   | LW/RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
| Pavel Cajan   | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Pontus Holmberg  | LW/RW | 26 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |
| Tyler Tucker   | D | 25 | 925,000$ | 925,000$ | 925,000$ |  RFA | |||||
| Vsevolod Komarov   | D | 21 | 835,000$ | 835,000$ | 835,000$ | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 15 | 5 | 4 | 6 | 0 | 52 | 8 | 12 | 20 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 17 | 10 | 28 | 8 | 14 | 7 | 42.9% | 20.0% | 88.5% | 108.5 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 31 | 15 | 12 | 4 | 0 | 35 | 9 | 10 | 15 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 21 | 14 | 26 | 7 | 12 | 5 | 0.0% | 3.2% | 91.4% | 94.7 | DULL | |
| 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 7 | 8 | 16 | 4 | 40 | 14 | 8 | 19 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 24 | 16 | 27 | 7 | 12 | 6 | 33.3% | 3.1% | 95.0% | 98.1 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 15 | 9 | 17 | 0 | 17 | 8 | 2 | 22 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 28 | 20 | 18 | 6 | 13 | 7 | 66.7% | 7.3% | 94.1% | 101.4 | DULL | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 38 | 15 | 9 | 14 | 0 | 33 | 6 | 8 | 25 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 25 | 18 | 21 | 7 | 12 | 6 | 57.1% | 10.5% | 84.8% | 95.4 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 35 | 15 | 14 | 6 | 0 | 23 | 12 | 8 | 36 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 21 | 14 | 25 | 7 | 13 | 6 | 62.5% | 17.1% | 87.0% | 104.1 | FUN | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 10 | 15 | 6 | 0 | 35 | 11 | 2 | 29 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 23 | 17 | 23 | 7 | 12 | 5 | 0.0% | 0.0% | 88.6% | 88.6 | Unlucky | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 26 | 8 | 8 | 10 | 0 | 38 | 12 | 14 | 17 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 21 | 14 | 25 | 7 | 12 | 5 | 100.0% | 11.5% | 97.4% | 108.9 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 32 | 14 | 12 | 6 | 0 | 22 | 9 | 6 | 24 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 23 | 15 | 23 | 8 | 13 | 6 | 50.0% | 9.4% | 90.9% | 100.3 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 30 | 13 | 8 | 9 | 0 | 31 | 6 | 16 | 25 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 13.3% | 96.8% | 110.1 | LUCKY | |
| 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 32 | 8 | 12 | 12 | 0 | 39 | 10 | 2 | 20 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 22 | 15 | 24 | 8 | 13 | 6 | 42.9% | 9.4% | 89.7% | 99.1 | FUN | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 7 | 7 | 11 | 0 | 43 | 10 | 14 | 17 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.0% | 86.0% | 90.0 | Unlucky | |
| _Vs Division | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 95 | 32 | 39 | 24 | 0 | 96 | 30 | 10 | 73 | 13 | 2 | 15.38% | 4 | 2 | 50.00% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 69 | 48 | 71 | 24 | 39 | 18 | 33.3% | 6.3% | 89.6% | 95.9 | Unlucky | |
| _Vs Conference | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 17 | 17 | 0 | 7 | 0.583 | 17 | 32 | 49 | 0 | 0 | 8 | 5 | 4 | 0 | 204 | 75 | 65 | 64 | 0 | 177 | 50 | 36 | 145 | 30 | 4 | 13.33% | 12 | 5 | 58.33% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 148 | 104 | 134 | 45 | 77 | 38 | 52.0% | 8.3% | 90.4% | 98.7 | Unlucky | |
| _Since Last GM Reset | 12 | 5 | 5 | 0 | 0 | 1 | 0 | 1 | 32 | 38 | -6 | 12 | 0.500 | 32 | 59 | 91 | 1 | 0 | 16 | 9 | 7 | 0 | 368 | 132 | 118 | 117 | 4 | 408 | 115 | 102 | 269 | 53 | 7 | 13.21% | 45 | 11 | 75.56% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 276 | 188 | 294 | 91 | 154 | 75 | 48.1% | 8.7% | 90.7% | 99.4 | Unlucky | |
| Total | 12 | 5 | 5 | 0 | 0 | 1 | 0 | 1 | 32 | 38 | -6 | 12 | 0.500 | 32 | 59 | 91 | 1 | 0 | 16 | 9 | 7 | 0 | 368 | 132 | 118 | 117 | 4 | 408 | 115 | 102 | 269 | 53 | 7 | 13.21% | 45 | 11 | 75.56% | 0 | 187 | 436 | 42.89% | 210 | 442 | 47.51% | 85 | 185 | 45.95% | 276 | 188 | 294 | 91 | 154 | 75 | 48.1% | 8.7% | 90.7% | 99.4 | Unlucky | 
| Puck Time | |
|---|---|
| Offensive Zone | 23 | 
| Neutral Zone | 12 | 
| Defensive Zone | 24 | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 436 | 
| Neutral Zone Start | 185 | 
| Defensive Zone Start | 442 | 
| Puck Time | |
|---|---|
| With Puck | 29 | 
| Without Puck | 30 | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 482 | 
| Faceoffs Lost | 581 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.0 | 9.57 | 
| 2nd Period | 20.8 | 20.31 | 
| 3rd Period | 30.6 | 30.68 | 
| Overtime | 30.9 | 31.4 | 
| Goals in | Team Average Goals after | League Average Goals after | 
|---|---|---|
| 1st Period | 1.3 | 0.64 | 
| 2nd Period | 2.1 | 1.65 | 
| 3rd Period | 2.7 | 2.67 | 
| Overtime | 2.7 | 2.83 | 
| Even Strenght Goal | 24 | 
|---|---|
| PP Goal | 7 | 
| PK Goal | 0 | 
| Empty Net Goal | 1 | 
| Home | Away | |
|---|---|---|
| Win | 4 | 1 | 
| Lost | 2 | 3 | 
| Overtime Lost | 1 | 1 | 
| PP Attempt | 53 | 
|---|---|
| PP Goal | 7 | 
| PK Attempt | 45 | 
| PK Goal Against | 11 | 
| Home | |
|---|---|
| Shots For | 30.7 | 
| Shots Against | 34.0 | 
| Goals For | 2.7 | 
| Goals Against | 3.2 | 
| Hits | 22.4 | 
| Shots Blocked | 9.6 | 
| Pim | 8.5 | 
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space | 
| 73,626,667$ | 0$ | 73,697,098$ | 21,873,333$ | 
| Arena | Goal Horn | About us | |
|---|---|---|---|
|   | Name | Bridgestone Arena | |
| City | Nashville | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |  | 
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 | 
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ | 
| Attendance | 38889 | 33371 | 13078 | 26173 | 6600 | 
| Attendance PCT | 92.59% | 95.35% | 93.41% | 93.48% | 94.29% | 
| Income | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |   | 
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity | 
| 34 | 16873 - 93.74% | 1,545,740$ | 10,820,181$ | 18000 | 100 | 
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value | 
| 73,626,667$ | 73,626,667$ | 0$ | 0$ | 
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | 
|---|---|---|---|
| 9,336,308$ | 383,472$ | 9,273,802$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 52,555,165$ | 168 | 386,076$ | 64,860,768$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 67,522,284$ | 73,626,667$ | 73,992,838$ | 59,025,719$ | 
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 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 | 
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2028 | ||||||||
| 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) | 
| 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 | 
|---|---|---|---|---|---|
| A.J. Spellacy | 2024 | 72 | |||
| Alexei Medvedev | 2025 | 71 | |||
| Artem Barabosha | 2022 | 168 | |||
| Artem Shlaine | 2020 | 202 | |||
| Aydar Suniev | 2023 | 82 | |||
| Benjamin Kindel | 2025 | 19 | |||
| Cameron Allen | 2023 | 113 | |||
| Carson Rehkopf | 2023 | 35 | |||
| Carter Bear | 2025 | 10 | |||
| Cole Hutson | 2024 | 31 | |||
| Cruz Lucius | 2022 | 109 | |||
| Denver Barkey | 2023 | 84 | |||
| Dominik Badinka | 2024 | 33 | |||
| Eric Engstrand | |||||
| Ethan Czata | 2025 | 65 | |||
| Ethan Miedema | 2023 | 112 | |||
| Felix Nilsson | 2023 | 50 | |||
| Harrison Brunicke | 2024 | 51 | |||
| Henry Brzustewicz | 2025 | 34 | |||
| Henry Mews | 2024 | 38 | |||
| Hunter Laing | 2024 | 150 | |||
| Igor Chernyshov | 2024 | 22 | |||
| Jack Berglund | 2024 | 69 | |||
| Jimmy Snuggerud | 2022 | 24 | |||
| Jordan Tourigny | 2023 | 201 | |||
| Julius Miettinen | 2024 | 57 | |||
| Kamil Bednarik | 2024 | 73 | |||
| Kasper Kulonummi | 2022 | 95 | |||
| Kevin Bicker | 2023 | 155 | |||
| Kevin He | 2024 | 104 | |||
| Landon Miller | 2024 | 114 | |||
| Lenni Hameenaho | 2023 | 76 | |||
| Liam Gilmartin | 2021 | 128 | |||
| Lucas Pettersson | 2024 | 34 | |||
| Lukas Dragicevic | 2023 | 24 | |||
| Luke Coughlin | 2023 | 175 | |||
| Marcus Gidlof | 2024 | 133 | |||
| Martin Rysavy | 2021 | 155 | |||
| Nicholas Porco | 2019 | 158 | |||
| Nick Lardis | 2023 | 44 | |||
| Noah Dower Nilsson | 2023 | 60 | |||
| Ollie Josephson | 2024 | 55 | |||
| Owen Griffin | 2025 | 135 | |||
| Quinton Burns | 2023 | 93 | |||
| Riley Patterson | 2024 | 107 | |||
| Roger McQueen | 2025 | 7 | |||
| Rudy Guimond | 2023 | 196 | |||
| Ryan St Louis | 2021 | 219 | |||
| Tanner Molendyk | 2023 | 38 | |||
| Theo Lindstein | 2023 | 53 | |||
| Thomas Desruisseaux | 2024 | 221 | |||
| Ty Gallagher | 2021 | 158 | |||
| Vaclav Nestrasil | 2025 | 37 | |||
| Viggo Gustafsson | 2024 | 106 | |||
| Vilmer Alriksson | 2023 | 129 | |||
| Xavier Daigle | 2023 | 220 | |||
| Yegor Midlak | 2025 | 194 | |||
| Yegor Surin | 2024 | 37 | |||
| Yegor Yegorov | 2023 | 182 | 
 Pheonix Copley is out for 1 days  because of a Exhaustion.
Pheonix Copley is out for 1 days  because of a Exhaustion. Jackson Parsons is out for 1 days  because of a Exhaustion.
Jackson Parsons is out for 1 days  because of a Exhaustion.| 
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