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Full Scoreboard »» |
| Nashville Predators 29-25-5, 63pts · 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 | 100.00 | 62 | 32 | 75 | 94 | 74 | 88 | 90 | 86 | 85 | 95 | 88 | 59 | 87 | 58 | 56 | 0 | 52 | 93 | 19 | 975,000$/2yrs | |||
Anders Lee | 0 | LW | 100.00 | 71 | 38 | 83 | 68 | 93 | 82 | 90 | 69 | 61 | 70 | 76 | 57 | 72 | 85 | 96 | 0 | 54 | 82 | 35 | 7,000,000$/1yrs | |||
Maxim Shabanov | 0 | C/RW | 100.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 53 | 82 | 25 | 975,000$/1yrs | |||
Collin Graf | 0 | C/RW | 100.00 | 68 | 33 | 97 | 71 | 77 | 81 | 90 | 68 | 59 | 67 | 74 | 80 | 71 | 64 | 64 | 0 | 54 | 80 | 23 | 941,667$/1yrs | |||
Igor Chernyshov (R) | 0 | LW | 100.00 | 63 | 33 | 95 | 76 | 82 | 80 | 73 | 67 | 56 | 78 | 68 | 51 | 68 | 58 | 58 | 0 | 40 | 79 | 20 | 775,000$/1yrs | |||
Bobby McMann | 17 | C | 100.00 | 81 | 47 | 74 | 68 | 82 | 78 | 90 | 67 | 61 | 63 | 74 | 60 | 71 | 75 | 72 | 0 | 51 | 78 | 29 | 1,750,000$/2yrs | |||
Luke Evangelista | 0 | RW | 100.00 | 56 | 32 | 92 | 72 | 72 | 81 | 90 | 69 | 55 | 79 | 65 | 49 | 67 | 65 | 64 | 0 | 54 | 78 | 24 | 3,000,000$/2yrs | |||
Joel Armia | 0 | RW | 100.00 | 68 | 34 | 89 | 64 | 86 | 79 | 90 | 61 | 58 | 64 | 66 | 74 | 63 | 80 | 79 | 0 | 55 | 77 | 32 | 3,500,000$/1yrs | |||
Alex Killorn | 0 | LW/RW | 100.00 | 67 | 33 | 86 | 61 | 77 | 82 | 90 | 62 | 59 | 65 | 66 | 69 | 64 | 86 | 85 | 0 | 54 | 76 | 36 | 5,350,000$/2yrs | |||
Reilly Smith | 0 | LW/RW | 100.00 | 62 | 32 | 91 | 63 | 74 | 79 | 89 | 61 | 59 | 67 | 65 | 67 | 63 | 84 | 83 | 0 | 54 | 76 | 34 | 5,000,000$/3yrs | |||
Ryan Strome | 0 | C/RW | 100.00 | 62 | 37 | 72 | 64 | 76 | 81 | 87 | 62 | 81 | 70 | 62 | 56 | 62 | 80 | 77 | 0 | 52 | 75 | 32 | 6,000,000$/1yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 75 | 38 | 91 | 60 | 88 | 77 | 89 | 59 | 75 | 61 | 64 | 68 | 61 | 70 | 69 | 0 | 67 | 74 | 26 | 3,200,000$/3yrs | |||
Mattias Samuelsson | 0 | D | 100.00 | 74 | 34 | 92 | 66 | 92 | 91 | 90 | 68 | 30 | 71 | 67 | 81 | 67 | 69 | 68 | 0 | 31 | 82 | 25 | 4,285,714$/5yrs | |||
Simon Nemec | 0 | D | 99.00 | 58 | 33 | 82 | 68 | 75 | 87 | 87 | 61 | 30 | 71 | 71 | 66 | 66 | 61 | 60 | 0 | 51 | 78 | 22 | 918,333$/1yrs | |||
Rasmus Ristolainen | 0 | D | 100.00 | 74 | 34 | 90 | 58 | 89 | 89 | 80 | 61 | 30 | 65 | 58 | 73 | 59 | 77 | 76 | 0 | 54 | 77 | 31 | 5,100,000$/2yrs | |||
Nick Seeler | 35 | D | 100.00 | 78 | 33 | 90 | 55 | 80 | 86 | 90 | 60 | 30 | 58 | 50 | 83 | 55 | 80 | 79 | 0 | 52 | 75 | 32 | 2,700,000$/3yrs | |||
Matt Dumba | 0 | D | 100.00 | 79 | 39 | 64 | 55 | 71 | 85 | 87 | 55 | 30 | 59 | 55 | 68 | 55 | 76 | 73 | 0 | 31 | 72 | 31 | 5,000,000$/1yrs | |||
Adam Boqvist | 0 | D | 100.00 | 59 | 32 | 91 | 61 | 71 | 78 | 75 | 54 | 30 | 65 | 60 | 54 | 57 | 67 | 66 | 0 | 33 | 72 | 25 | 3,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Pontus Holmberg | 0 | LW/RW | 100.00 | 65 | 35 | 86 | 60 | 78 | 76 | 86 | 62 | 74 | 63 | 63 | 64 | 62 | 70 | 68 | 0 | 20 | 73 | 26 | 2,300,000$/6yrs | |||
Logan Couture | 0 | C | 100.00 | 74 | 36 | 90 | 74 | 81 | 87 | 79 | 73 | 86 | 30 | 30 | 30 | 74 | 85 | 99 | 0 | 20 | 63 | 36 | 8,000,000$/1yrs | |||
Jonas Siegenthaler | 0 | D | 100.00 | 73 | 40 | 74 | 55 | 86 | 87 | 90 | 52 | 30 | 55 | 50 | 75 | 51 | 73 | 70 | 0 | 19 | 71 | 28 | 3,400,000$/3yrs | |||
| TEAM AVERAGE | 99.95 | 68 | 35 | 85 | 66 | 79 | 83 | 87 | 64 | 53 | 66 | 64 | 64 | 65 | 73 | 73 | 0 | 45 | 77 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pyotr Kochetkov | 0 | 99.00 | 77 | 86 | 77 | 84 | 84 | 81 | 84 | 88 | 88 | 87 | 84 | 70 | 74 | 0 | 61 | 87 | 26 | 2,000,000$/2yrs |
Leevi Merilainen | 0 | 100.00 | 73 | 71 | 70 | 67 | 78 | 69 | 78 | 83 | 76 | 85 | 78 | 64 | 68 | 0 | 50 | 79 | 23 | 1,200,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 75 | 79 | 74 | 76 | 81 | 75 | 81 | 86 | 82 | 86 | 81 | 67 | 71 | 0 | 56 | 83 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Steve Ott | 60 | 65 | 68 | 68 | 59 | 55 | 86 | CAN | 43 | 4 | 500,000$ |
| 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 | 59 | 30 | 29 | 59 | 5 | 10 | 0 | 72 | 243 | 57 | 162 | 12.35% | 12 | 22.30 | 9 | 7 | 16 | 182 | 0 | 0 | 0 | 204 | 3 | 0 | 48.45% | 1938 | 0 | 0 | 0 | 4 | 0.90 | 2 | 3 | |
| 2 | Maxim Shabanov | 0 | C/RW | 59 | 15 | 35 | 50 | 1 | 14 | 0 | 36 | 199 | 53 | 143 | 7.54% | 18 | 20.34 | 3 | 13 | 16 | 213 | 0 | 0 | 0 | 88 | 1 | 0 | 34.19% | 117 | 0 | 0 | 0 | 0 | 0.83 | 0 | 1 | |
| 3 | Alex Killorn | 0 | LW/RW | 59 | 15 | 22 | 37 | -2 | 20 | 0 | 57 | 183 | 53 | 120 | 8.20% | 16 | 18.22 | 3 | 6 | 9 | 178 | 0 | 0 | 0 | 133 | 2 | 2 | 42.11% | 76 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 4 | Anders Lee | 0 | LW | 59 | 14 | 23 | 37 | 5 | 46 | 0 | 201 | 137 | 36 | 104 | 10.22% | 3 | 20.76 | 4 | 6 | 10 | 214 | 0 | 0 | 0 | 99 | 3 | 1 | 42.38% | 210 | 0 | 0 | 0 | 0 | 0.60 | 1 | 2 | |
| 5 | Nick Seeler | 35 | D | 59 | 6 | 28 | 34 | -8 | 105 | 15 | 143 | 86 | 23 | 54 | 6.98% | 99 | 23.57 | 2 | 9 | 11 | 206 | 0 | 0 | 0 | 173 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 6 | Bobby McMann | 17 | C | 59 | 16 | 17 | 33 | -9 | 49 | 5 | 163 | 139 | 36 | 106 | 11.51% | 10 | 16.65 | 5 | 8 | 13 | 199 | 0 | 0 | 0 | 0 | 4 | 1 | 39.83% | 1313 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 7 | Rasmus Ristolainen | 0 | D | 59 | 5 | 27 | 32 | -3 | 46 | 0 | 104 | 75 | 31 | 53 | 6.67% | 105 | 20.88 | 2 | 7 | 9 | 208 | 0 | 0 | 0 | 176 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 8 | Reilly Smith | 0 | LW/RW | 59 | 13 | 16 | 29 | -7 | 10 | 0 | 30 | 155 | 47 | 120 | 8.39% | 18 | 18.16 | 6 | 7 | 13 | 202 | 0 | 0 | 0 | 135 | 2 | 0 | 45.57% | 79 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 9 | Mattias Samuelsson | 0 | D | 60 | 10 | 19 | 29 | 5 | 60 | 0 | 106 | 75 | 29 | 48 | 13.33% | 63 | 19.56 | 4 | 3 | 7 | 118 | 0 | 0 | 0 | 124 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 10 | Luke Evangelista | 0 | RW | 59 | 8 | 12 | 20 | 0 | 4 | 0 | 15 | 81 | 23 | 39 | 9.88% | 2 | 10.70 | 1 | 4 | 5 | 41 | 0 | 0 | 0 | 0 | 1 | 0 | 41.28% | 109 | 0 | 0 | 0 | 0 | 0.63 | 0 | 2 | |
| 11 | Simon Nemec | 0 | D | 53 | 5 | 11 | 16 | -4 | 14 | 0 | 42 | 42 | 15 | 33 | 11.90% | 66 | 18.72 | 4 | 2 | 6 | 82 | 0 | 0 | 0 | 105 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 12 | Ryan Strome | 0 | C/RW | 59 | 3 | 12 | 15 | -2 | 30 | 10 | 64 | 67 | 23 | 62 | 4.48% | 3 | 10.59 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 5 | 0 | 0 | 48.02% | 656 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 13 | Michael Rasmussen | 0 | C/LW | 58 | 5 | 8 | 13 | -6 | 30 | 0 | 60 | 89 | 25 | 76 | 5.62% | 9 | 9.54 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 35 | 1 | 0 | 45.80% | 131 | 0 | 0 | 1 | 0 | 0.47 | 0 | 0 | |
| 14 | Collin Graf | 0 | C/RW | 59 | 7 | 6 | 13 | -9 | 6 | 0 | 15 | 99 | 20 | 56 | 7.07% | 15 | 9.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 1 | 2 | 42.18% | 588 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 15 | Adam Boqvist | 0 | D | 46 | 1 | 7 | 8 | -4 | 6 | 0 | 38 | 27 | 12 | 18 | 3.70% | 42 | 20.35 | 0 | 2 | 2 | 131 | 0 | 0 | 0 | 116 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 16 | Joel Armia | 0 | RW | 58 | 5 | 2 | 7 | -8 | 0 | 0 | 13 | 60 | 22 | 42 | 8.33% | 5 | 7.61 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 11 | 0 | 1 | 47.22% | 36 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 17 | Jonas Siegenthaler | 0 | D | 30 | 1 | 5 | 6 | -4 | 28 | 0 | 45 | 17 | 5 | 10 | 5.88% | 24 | 13.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 18 | Matt Dumba | 0 | D | 26 | 2 | 4 | 6 | 1 | 33 | 5 | 62 | 10 | 3 | 3 | 20.00% | 20 | 14.38 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 31 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 19 | Igor Chernyshov | 0 | LW | 8 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 16 | 3 | 9 | 6.25% | 0 | 15.19 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 20 | Pontus Holmberg | 0 | LW/RW | 10 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 7 | 1 | 3 | 0.00% | 1 | 7.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 998 | 162 | 285 | 447 | -52 | 511 | 35 | 1268 | 1807 | 517 | 1261 | 8.97% | 531 | 16.43 | 43 | 75 | 118 | 2014 | 0 | 0 | 0 | 1533 | 24 | 11 | 44.62% | 5260 | 0 | 0 | 1 | 4 | 0.55 | 3 | 8 |
| 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 | Pyotr Kochetkov | 29 | 14 | 8 | 2 | 0.914 | 2.51 | 1411 | 0 | 0 | 59 | 687 | 0 | 2 | 1 | 0.800 | 5 | 22 | 35 | 4 | 1 | 1 | |
| 2 | Leevi Merilainen | 25 | 8 | 11 | 2 | 0.917 | 2.94 | 1329 | 8 | 1 | 65 | 781 | 0 | 1 | 2 | 0.667 | 3 | 22 | 37 | 5 | 1 | 1 | |
| Team Total or Average | 54 | 22 | 19 | 4 | 0.916 | 2.71 | 2741 | 8 | 1 | 124 | 1468 | 0 | 3 | 3 | 0.750 | 8 | 44 | 72 | 9 | 2 | 2 |
| Projected Total Cap Hit | 75,563,112$ |
| Projected Cap Space | 19,936,888$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 56,868,204$ |
| Players In Salary Cap | 24 |
| LTIR Players | 0 |
| 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 | ||||||
Bobby McMann ![]() | C | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Collin Graf | C/RW | 23 | 941,667$ | 941,667$ | RFA | ||||||
Igor Chernyshov | LW | 20 | 775,000$ | 775,000$ | RFA | ||||||
Joel Armia ![]() | RW | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
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 | ||||||
Luke Evangelista ![]() | RW | 24 | 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 | ||||||
Mattias Samuelsson ![]() | D | 25 | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | UFA | ||
Maxim Shabanov | C/RW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Michael Rasmussen ![]() | C/LW | 26 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Nick Seeler ![]() | D | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||
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 | |
| Pyotr Kochetkov | G | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
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 | 22 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heimosalmi | D | 22 | 806,000$ | 806,000$ | RFA | ||||||
Andrew Gibson | D | 21 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Artem Shlaine | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Aydar Suniev | LW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Beau Akey | D | 21 | 895,000$ | 895,000$ | RFA | ||||||
Ben Hemmerling | RW | 21 | 844,167$ | 844,167$ | RFA | ||||||
Benjamin Kindel | RW | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Carson Rehkopf | C | 21 | 0$ | RFA | |||||||
Carter Mazur | LW | 23 | 905,833$ | 905,833$ | RFA | ||||||
Cole Schwindt | C/RW | 24 | 875,000$ | 875,000$ | RFA | ||||||
Denver Barkey | C | 20 | 775,000$ | 775,000$ | RFA | ||||||
Dominik Badinka | D | 20 | 0$ | RFA | |||||||
Drew Commesso | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Felix Unger Sorum | RW | 20 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
Georgy Romanov | G | 26 | 775,000$ | 775,000$ | 775,000$ | ||||||
Harrison Brunicke | D | 19 | 775,000$ | 775,000$ | RFA | ||||||
Henry Thrun | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Hiroki Gojsic | RW | 19 | 835,000$ | 835,000$ | 835,000$ | 835,000$ | RFA | ||||
Hunter Brzustewicz | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ilya Solovyov | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Isaiah George | D | 22 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
Jimmy Snuggerud | RW | 21 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Joey Keane | D | 26 | 900,000$ | 900,000$ | |||||||
Lenni Hameenaho | RW | 21 | 0$ | RFA | |||||||
Lukas Dragicevic | D | 20 | 0$ | RFA | |||||||
Nathan Walker | LW | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Nick Lardis | LW | 20 | 775,000$ | 775,000$ | RFA | ||||||
Nikita Alexandrov | C | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Nikita Quapp | G | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Nikita Tolopilo | G | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Pavel Cajan | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Pheonix Copley | G | 34 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Simon Lundmark | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Theo Lindstein | D | 21 | 0$ | RFA | |||||||
Ty Gallagher | D | 22 | 0$ | RFA | |||||||
Tyler Tucker | D | 25 | 925,000$ | 925,000$ | 925,000$ | ||||||
Vilmer Alriksson | LW | 21 | 0$ | RFA | |||||||
Vsevolod Komarov | D | 22 | 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 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 1 | 4 | 4 | 1 | 116 | 27 | 41 | 46 | 2 | 94 | 37 | 34 | 65 | 15 | 3 | 20.00% | 17 | 4 | 76.47% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 72 | 50 | 70 | 22 | 38 | 19 | 77.8% | 8.6% | 93.6% | 102.2 | DULL | |
| 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 36 | 14 | 13 | 9 | 0 | 90 | 17 | 30 | 44 | 4 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 36 | 21 | 56 | 16 | 27 | 13 | 41.7% | 13.9% | 88.9% | 102.8 | FUN | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 10 | 3 | 14 | 0 | 27 | 4 | 10 | 20 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 22 | 15 | 24 | 7 | 13 | 6 | 25.0% | 7.4% | 88.9% | 96.3 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 1 | 0 | 3 | 2 | 0 | 0 | 72 | 32 | 22 | 18 | 0 | 77 | 23 | 16 | 36 | 9 | 5 | 55.56% | 7 | 0 | 100.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 45 | 30 | 49 | 14 | 25 | 12 | 0.0% | 6.9% | 93.5% | 100.5 | DULL | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 2 | 3 | 4 | 0 | 77 | 29 | 29 | 19 | 0 | 40 | 18 | 6 | 49 | 7 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 52 | 37 | 40 | 14 | 26 | 14 | 75.0% | 11.7% | 92.5% | 104.2 | LUCKY | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 60 | 13 | 21 | 26 | 0 | 54 | 21 | 14 | 44 | 13 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 46 | 31 | 48 | 14 | 24 | 12 | 42.9% | 5.0% | 87.0% | 92.0 | Unlucky | |
| 7 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 12 | 6 | 6 | 7 | 0.875 | 12 | 19 | 31 | 0 | 2 | 4 | 5 | 2 | 2 | 118 | 38 | 35 | 41 | 7 | 121 | 29 | 29 | 94 | 15 | 3 | 20.00% | 11 | 1 | 90.91% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 96 | 64 | 98 | 31 | 54 | 26 | 64.3% | 10.2% | 95.0% | 105.2 | LUCKY | |
| 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 3 | 2 | 0 | 62 | 11 | 29 | 22 | 0 | 59 | 21 | 35 | 36 | 5 | 1 | 20.00% | 13 | 2 | 84.62% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 44 | 30 | 48 | 14 | 26 | 13 | 77.8% | 12.9% | 93.2% | 106.1 | LUCKY | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 8 | 3 | 10 | 0 | 33 | 12 | 12 | 14 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 20 | 12 | 26 | 8 | 13 | 6 | 50.0% | 9.5% | 90.9% | 100.4 | FUN | |
| 10 | 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 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 24 | 16 | 27 | 7 | 12 | 6 | 33.3% | 3.1% | 95.0% | 98.1 | DULL | |
| 11 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 1 | 1 | 82 | 33 | 24 | 24 | 1 | 59 | 22 | 21 | 61 | 9 | 2 | 22.22% | 8 | 1 | 87.50% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 49 | 34 | 46 | 14 | 24 | 12 | 55.6% | 8.5% | 91.5% | 100.1 | DULL | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 114 | 37 | 37 | 40 | 0 | 102 | 30 | 25 | 79 | 13 | 3 | 23.08% | 10 | 1 | 90.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 75 | 52 | 66 | 21 | 37 | 19 | 28.6% | 6.1% | 89.2% | 95.4 | Unlucky | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 72 | 24 | 18 | 30 | 0 | 56 | 21 | 16 | 47 | 11 | 1 | 9.09% | 8 | 1 | 87.50% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 52 | 35 | 42 | 14 | 25 | 13 | 42.9% | 5.6% | 91.1% | 96.6 | Unlucky | |
| 14 | 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 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 25 | 18 | 21 | 7 | 12 | 6 | 57.1% | 10.5% | 84.8% | 95.4 | FUN | |
| 15 | 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 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 21 | 14 | 25 | 7 | 13 | 6 | 62.5% | 17.1% | 87.0% | 104.1 | FUN | |
| 16 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 2 | 0 | 54 | 25 | 15 | 14 | 0 | 73 | 24 | 26 | 56 | 10 | 2 | 20.00% | 8 | 4 | 50.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 43 | 28 | 51 | 15 | 25 | 12 | 37.5% | 9.3% | 87.7% | 96.9 | FUN | |
| 17 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 0 | 2 | 6 | 2 | 0 | 130 | 33 | 47 | 50 | 0 | 128 | 36 | 30 | 95 | 14 | 2 | 14.29% | 14 | 1 | 92.86% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 86 | 58 | 102 | 32 | 50 | 24 | 44.4% | 7.7% | 91.4% | 99.1 | DULL | |
| 18 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 87 | 34 | 29 | 24 | 0 | 108 | 32 | 22 | 76 | 16 | 1 | 6.25% | 11 | 2 | 81.82% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 65 | 43 | 76 | 23 | 37 | 18 | 35.7% | 6.9% | 89.8% | 96.7 | Unlucky | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 2 | 7 | 6 | 0 | 25 | 11 | 8 | 16 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 22 | 16 | 25 | 7 | 11 | 5 | 33.3% | 6.7% | 88.0% | 94.7 | Unlucky | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 24 | 6 | 8 | 10 | 0 | 54 | 4 | 10 | 24 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 20 | 13 | 27 | 6 | 12 | 5 | 28.6% | 8.3% | 88.9% | 97.2 | Unlucky | |
| 21 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 6 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 2 | 4 | 0 | 104 | 30 | 34 | 40 | 0 | 83 | 20 | 32 | 64 | 15 | 2 | 13.33% | 14 | 3 | 78.57% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 69 | 46 | 73 | 23 | 37 | 17 | 75.0% | 7.7% | 94.0% | 101.7 | DULL | |
| 22 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 1 | 1 | 69 | 16 | 36 | 17 | 2 | 81 | 21 | 16 | 49 | 8 | 4 | 50.00% | 7 | 2 | 71.43% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 48 | 34 | 54 | 14 | 26 | 12 | 41.7% | 13.0% | 88.9% | 101.9 | FUN | |
| 23 | 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 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 21 | 14 | 25 | 7 | 12 | 5 | 100.0% | 11.5% | 97.4% | 108.9 | LUCKY | |
| 24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 2 | 1 | 1 | 66 | 22 | 24 | 19 | 1 | 47 | 20 | 8 | 47 | 12 | 3 | 25.00% | 3 | 1 | 66.67% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 49 | 34 | 45 | 15 | 25 | 13 | 50.0% | 12.1% | 87.2% | 99.4 | FUN | |
| 25 | 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 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 13.3% | 96.8% | 110.1 | LUCKY | |
| 26 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 13 | -7 | 1 | 0.167 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 88 | 28 | 29 | 31 | 0 | 112 | 34 | 26 | 70 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 67 | 46 | 75 | 22 | 38 | 17 | 31.3% | 6.8% | 88.4% | 95.2 | Unlucky | |
| 27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 0 | 59 | 14 | 25 | 20 | 0 | 82 | 21 | 24 | 40 | 10 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 41 | 27 | 54 | 15 | 23 | 10 | 33.3% | 5.1% | 87.8% | 92.9 | Unlucky | |
| 28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 2 | 2 | 1 | 60 | 17 | 21 | 19 | 3 | 83 | 23 | 14 | 34 | 8 | 3 | 37.50% | 7 | 1 | 85.71% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 42 | 28 | 52 | 16 | 27 | 12 | 55.6% | 13.3% | 94.0% | 107.3 | LUCKY | |
| 29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 2 | 0 | 0 | 48 | 19 | 14 | 15 | 0 | 69 | 28 | 20 | 45 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 39 | 25 | 55 | 13 | 24 | 11 | 27.3% | 8.3% | 85.5% | 93.8 | Unlucky | |
| 30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 46 | 16 | 12 | 18 | 0 | 27 | 6 | 6 | 32 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 27 | 18 | 19 | 7 | 13 | 6 | 50.0% | 8.7% | 88.9% | 97.6 | Unlucky | |
| _Vs Division | 22 | 10 | 8 | 0 | 1 | 2 | 1 | 0 | 57 | 63 | -6 | 26 | 0.591 | 57 | 103 | 160 | 0 | 2 | 19 | 21 | 15 | 3 | 707 | 222 | 235 | 245 | 8 | 701 | 201 | 172 | 525 | 95 | 15 | 15.79% | 74 | 11 | 85.14% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 510 | 347 | 538 | 169 | 280 | 136 | 44.7% | 8.1% | 91.0% | 99.1 | Unlucky | |
| _Vs Conference | 34 | 14 | 14 | 0 | 2 | 3 | 1 | 0 | 92 | 102 | -10 | 37 | 0.544 | 92 | 164 | 256 | 1 | 2 | 30 | 33 | 26 | 4 | 1111 | 361 | 352 | 391 | 10 | 1084 | 329 | 298 | 820 | 152 | 25 | 16.45% | 127 | 26 | 79.53% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 796 | 543 | 823 | 258 | 431 | 212 | 46.9% | 8.3% | 90.6% | 98.9 | Unlucky | |
| _Since Last GM Reset | 59 | 23 | 25 | 0 | 4 | 4 | 2 | 1 | 166 | 181 | -15 | 63 | 0.534 | 166 | 301 | 467 | 3 | 2 | 58 | 56 | 46 | 7 | 1868 | 596 | 623 | 637 | 20 | 1949 | 585 | 544 | 1359 | 249 | 43 | 17.27% | 237 | 46 | 80.59% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 1359 | 923 | 1457 | 447 | 753 | 370 | 47.7% | 8.9% | 90.7% | 99.6 | Unlucky | |
| Total | 59 | 23 | 25 | 0 | 4 | 4 | 2 | 1 | 166 | 181 | -15 | 63 | 0.534 | 166 | 301 | 467 | 3 | 2 | 58 | 56 | 46 | 7 | 1868 | 596 | 623 | 637 | 20 | 1949 | 585 | 544 | 1359 | 249 | 43 | 17.27% | 237 | 46 | 80.59% | 0 | 953 | 2147 | 44.39% | 978 | 2173 | 45.01% | 418 | 914 | 45.73% | 1359 | 923 | 1457 | 447 | 753 | 370 | 47.7% | 8.9% | 90.7% | 99.6 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2147 |
| Neutral Zone Start | 914 |
| Defensive Zone Start | 2173 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2349 |
| Faceoffs Lost | 2885 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 31.5 | 30.68 |
| Overtime | 31.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 120 |
|---|---|
| PP Goal | 43 |
| PK Goal | 0 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 19 | 10 |
| Lost | 10 | 15 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 249 |
|---|---|
| PP Goal | 43 |
| PK Attempt | 237 |
| PK Goal Against | 46 |
| Home | |
|---|---|
| Shots For | 31.7 |
| Shots Against | 33.0 |
| Goals For | 2.8 |
| Goals Against | 3.1 |
| Hits | 23.0 |
| Shots Blocked | 9.9 |
| Pim | 9.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Blue Jackets1,Predators3 | RECAP | |||||||||||
| 2025-10-12 | @ | Mammoth4,Predators0 | RECAP | |||||||||||
| 2025-10-14 | @ | Predators1,Senators3 | RECAP | |||||||||||
| 2025-10-15 | @ | Predators1,Maple Leafs6 | RECAP | |||||||||||
| 2025-10-17 | @ | Predators1,Canadiens2 (SO) | RECAP | |||||||||||
| 2025-10-19 | @ | Predators3,Jets2 | RECAP | |||||||||||
| 2025-10-22 | @ | Ducks1,Predators4 | RECAP | |||||||||||
| 2025-10-24 | @ | Canucks1,Predators3 | RECAP | |||||||||||
| 2025-10-26 | @ | Kings5,Predators4 | RECAP | |||||||||||
| 2025-10-27 | @ | Stars4,Predators3 (OT) | RECAP | |||||||||||
| 2025-10-29 | @ | Lightning3,Predators6 | RECAP | |||||||||||
| 2025-10-31 | @ | Predators3,Flyers6 | RECAP | |||||||||||
| 2025-11-02 | @ | Flames3,Predators1 | RECAP | |||||||||||
| 2025-11-04 | @ | Canucks4,Predators1 | RECAP | |||||||||||
| 2025-11-05 | @ | Predators1,Wild3 | RECAP | |||||||||||
| 2025-11-07 | @ | Flyers4,Predators2 | RECAP | |||||||||||
| 2025-11-09 | @ | Stars5,Predators2 | RECAP | |||||||||||
| 2025-11-11 | @ | Predators4,Rangers2 | RECAP | |||||||||||
| 2025-11-15 | @ | Penguins3,Predators4 (OT) | RECAP | |||||||||||
| 2025-11-17 | @ | Predators4,Penguins2 | RECAP | |||||||||||
| 2025-11-23 | @ | Avalanche0,Predators2 | RECAP | |||||||||||
| 2025-11-25 | @ | Panthers3,Predators4 (SO) | RECAP | |||||||||||
| 2025-11-27 | @ | Predators2,Red Wings3 | RECAP | |||||||||||
| 2025-11-29 | @ | Predators4,Blackhawks3 | RECAP | |||||||||||
| 2025-11-30 | @ | Jets4,Predators5 (OT) | RECAP | |||||||||||
| 2025-12-03 | @ | Flames2,Predators3 (OT) | RECAP | |||||||||||
| 2025-12-05 | @ | Predators5,Panthers6 (OT) | RECAP | |||||||||||
| 2025-12-07 | @ | Predators2,Hurricanes4 | RECAP | |||||||||||
| 2025-12-10 | @ | Avalanche0,Predators4 | RECAP | |||||||||||
| 2025-12-12 | @ | Blues3,Predators2 | RECAP | |||||||||||
| 2025-12-14 | @ | Predators3,Avalanche4 (OT) | RECAP | |||||||||||
| 2025-12-16 | @ | Predators3,Blues2 | RECAP | |||||||||||
| 2025-12-18 | @ | Hurricanes3,Predators1 | RECAP | |||||||||||
| 2025-12-21 | @ | Maple Leafs4,Predators2 | RECAP | |||||||||||
| 2025-12-22 | @ | Rangers2,Predators4 | RECAP | |||||||||||
| 2025-12-24 | @ | Predators1,Wild6 | RECAP | |||||||||||
| 2025-12-28 | @ | Predators1,Blues4 | RECAP | |||||||||||
| 2025-12-30 | @ | Predators2,Mammoth4 | RECAP | |||||||||||
| 2026-01-01 | @ | Predators2,Golden Knights4 | RECAP | |||||||||||
| 2026-01-02 | @ | Predators4,Kraken3 | RECAP | |||||||||||
| 2026-01-04 | @ | Predators6,Flames1 | RECAP | |||||||||||
| 2026-01-07 | @ | Predators2,Oilers5 | RECAP | |||||||||||
| 2026-01-09 | @ | Islanders1,Predators2 | RECAP | |||||||||||
| 2026-01-11 | @ | Blackhawks1,Predators2 | RECAP | |||||||||||
| 2026-01-12 | @ | Capitals3,Predators4 (OT) | RECAP | |||||||||||
| 2026-01-14 | @ | Oilers4,Predators3 (OT) | RECAP | |||||||||||
| 2026-01-17 | @ | Predators3,Avalanche2 (SO) | RECAP | |||||||||||
| 2026-01-18 | @ | Predators2,Golden Knights6 | RECAP | |||||||||||
| 2026-01-21 | @ | Sabres6,Predators2 | RECAP | |||||||||||
| 2026-01-23 | @ | Senators2,Predators4 | RECAP | |||||||||||
| 2026-01-25 | @ | Mammoth3,Predators4 | RECAP | |||||||||||
| 2026-01-28 | @ | Predators1,Bruins3 | RECAP | |||||||||||
| 2026-01-30 | @ | Predators2,Devils3 | RECAP | |||||||||||
| 2026-02-01 | @ | Predators7,Islanders2 | RECAP | |||||||||||
| 2026-02-03 | @ | Blues2,Predators4 | RECAP | |||||||||||
| 2026-02-05 | @ | Wild2,Predators5 | RECAP | |||||||||||
| 2026-02-06 | @ | Predators3,Capitals2 | RECAP | |||||||||||
| 2026-02-27 | @ | Blackhawks1,Predators2 | RECAP | |||||||||||
| 2026-03-01 | @ | Predators1,Stars4 | RECAP | |||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-16 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 77,345,714$ | 0$ | 75,563,112$ | 18,154,286$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Bridgestone Arena | |
| City | Nashville | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 171610 | 145206 | 58263 | 115868 | 29053 |
| Attendance PCT | 92.26% | 93.68% | 93.97% | 93.44% | 93.72% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 10 | 16774 - 93.19% | 1,535,672$ | 47,605,827$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 77,345,714$ | 77,345,714$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 57,586,066$ | 397,764$ | 56,868,204$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 15,356,718$ | 47 | 405,446$ | 19,055,962$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 19,632,727$ | 77,345,714$ | 60,477,265$ | 56,201,256$ |
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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| 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) |
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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") |
| 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 | |||
| Cameron Allen | 2023 | 113 | |||
| Carter Bear | 2025 | 10 | |||
| Cole Hutson | 2024 | 31 | |||
| Cruz Lucius | 2022 | 109 | |||
| Eric Engstrand | |||||
| Ethan Czata | 2025 | 65 | |||
| Ethan Miedema | 2023 | 112 | |||
| Felix Nilsson | 2023 | 50 | |||
| Henry Brzustewicz | 2025 | 34 | |||
| Hunter Laing | 2024 | 150 | |||
| Jack Berglund | 2024 | 69 | |||
| 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 | |||
| Liam Gilmartin | 2021 | 128 | |||
| Luke Coughlin | 2023 | 175 | |||
| Marcus Gidlof | 2024 | 133 | |||
| Martin Rysavy | 2021 | 155 | |||
| Nicholas Porco | 2019 | 158 | |||
| 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 | |||
| Thomas Desruisseaux | 2024 | 221 | |||
| Vaclav Nestrasil | 2025 | 37 | |||
| Viggo Gustafsson | 2024 | 106 | |||
| Xavier Daigle | 2023 | 220 | |||
| Yegor Midlak | 2025 | 194 | |||
| Yegor Surin | 2024 | 37 | |||
| Yegor Yegorov | 2023 | 182 |
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