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| Nashville Predators 14-13-3, 31pts · 8th 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 | 98.00 | 62 | 32 | 83 | 87 | 74 | 88 | 90 | 82 | 85 | 84 | 88 | 60 | 85 | 58 | 56 | 0 | 44 | 89 | 19 | 975,000$/2yrs | |||
Maxim Shabanov | 0 | C/RW | 100.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 44 | 82 | 25 | 975,000$/1yrs | |||
Anders Lee | 0 | LW | 100.00 | 77 | 42 | 78 | 66 | 93 | 83 | 90 | 68 | 60 | 66 | 74 | 60 | 71 | 84 | 95 | 0 | 45 | 80 | 35 | 7,000,000$/1yrs | |||
Alex Killorn | 0 | LW/RW | 100.00 | 68 | 33 | 80 | 65 | 77 | 86 | 87 | 66 | 59 | 66 | 72 | 68 | 69 | 85 | 83 | 0 | 45 | 79 | 36 | 5,350,000$/2yrs | |||
Reilly Smith | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 66 | 74 | 82 | 89 | 64 | 58 | 70 | 66 | 68 | 65 | 83 | 82 | 0 | 45 | 78 | 34 | 5,000,000$/3yrs | |||
Bobby McMann | 17 | C | 100.00 | 79 | 39 | 79 | 68 | 82 | 78 | 85 | 66 | 58 | 62 | 72 | 59 | 69 | 73 | 71 | 0 | 45 | 77 | 29 | 1,750,000$/2yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 77 | 39 | 84 | 62 | 88 | 79 | 89 | 63 | 61 | 63 | 65 | 73 | 64 | 69 | 67 | 0 | 59 | 76 | 26 | 3,200,000$/3yrs | |||
Ryan Strome | 0 | C/RW | 100.00 | 64 | 42 | 67 | 67 | 76 | 83 | 90 | 64 | 79 | 72 | 63 | 58 | 64 | 78 | 75 | 0 | 45 | 76 | 32 | 6,000,000$/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 | 52 | 76 | 22 | 891,667$/1yrs | |||
Luke Evangelista | 0 | RW | 100.00 | 59 | 32 | 90 | 67 | 72 | 79 | 88 | 65 | 56 | 68 | 66 | 53 | 65 | 63 | 62 | 0 | 45 | 75 | 23 | 3,000,000$/2yrs | |||
Collin Graf | 0 | C/RW | 100.00 | 63 | 33 | 92 | 65 | 77 | 82 | 71 | 61 | 59 | 63 | 63 | 72 | 62 | 62 | 62 | 0 | 45 | 74 | 23 | 941,667$/1yrs | |||
Nathan Walker | 0 | LW | 100.00 | 91 | 47 | 76 | 55 | 70 | 75 | 83 | 59 | 62 | 59 | 63 | 69 | 61 | 77 | 75 | 0 | 42 | 73 | 31 | 1,000,000$/2yrs | |||
Ben Chiarot | 0 | D | 100.00 | 78 | 36 | 73 | 55 | 92 | 90 | 90 | 59 | 30 | 61 | 58 | 77 | 58 | 82 | 80 | 0 | 45 | 76 | 34 | 4,750,000$/1yrs | |||
Nick Seeler | 35 | D | 100.00 | 76 | 43 | 74 | 55 | 80 | 84 | 88 | 60 | 30 | 63 | 54 | 78 | 57 | 79 | 76 | 0 | 46 | 76 | 32 | 2,700,000$/3yrs | |||
Rasmus Ristolainen | 0 | D | 100.00 | 75 | 34 | 91 | 55 | 89 | 88 | 80 | 59 | 30 | 63 | 57 | 71 | 58 | 76 | 75 | 0 | 45 | 75 | 31 | 5,100,000$/2yrs | |||
Adam Boqvist | 0 | D | 100.00 | 59 | 32 | 94 | 63 | 71 | 83 | 76 | 57 | 30 | 67 | 59 | 56 | 58 | 66 | 65 | 0 | 45 | 74 | 25 | 3,000,000$/2yrs | |||
Simon Nemec | 0 | D | 100.00 | 57 | 35 | 81 | 63 | 75 | 86 | 79 | 59 | 30 | 64 | 58 | 67 | 58 | 60 | 58 | 0 | 42 | 74 | 21 | 918,333$/1yrs | |||
Jonas Siegenthaler | 0 | D | 100.00 | 73 | 34 | 80 | 55 | 86 | 88 | 82 | 57 | 30 | 60 | 54 | 72 | 56 | 72 | 70 | 0 | 45 | 73 | 28 | 3,400,000$/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 | 20 | 73 | 31 | 4,800,000$/2yrs | |||
Logan Couture | 0 | C | 100.00 | 74 | 36 | 90 | 74 | 81 | 87 | 79 | 73 | 86 | 30 | 30 | 30 | 74 | 85 | 99 | 0 | 20 | 63 | 36 | 8,000,000$/1yrs | |||
Oliver Kylington | 0 | D | 100.00 | 61 | 32 | 86 | 56 | 72 | 81 | 73 | 55 | 30 | 62 | 59 | 64 | 57 | 72 | 70 | 0 | 20 | 72 | 28 | 3,250,000$/1yrs | |||
Matt Dumba | 0 | D | 100.00 | 79 | 39 | 64 | 55 | 71 | 85 | 87 | 55 | 30 | 59 | 55 | 68 | 55 | 76 | 73 | 0 | 20 | 72 | 31 | 5,000,000$/1yrs | |||
| TEAM AVERAGE | 99.91 | 69 | 36 | 83 | 64 | 78 | 83 | 83 | 63 | 53 | 64 | 63 | 64 | 64 | 73 | 72 | 0 | 41 | 76 | |||||||
| 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 | 97.00 | 83 | 64 | 67 | 67 | 85 | 69 | 83 | 82 | 75 | 87 | 83 | 63 | 68 | 0 | 45 | 80 | 23 | 1,200,000$/3yrs |
Pheonix Copley | 0 | 100.00 | 60 | 63 | 66 | 83 | 61 | 67 | 64 | 76 | 67 | 73 | 64 | 80 | 83 | 0 | 50 | 74 | 33 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Drew Commesso | 0 | 100.00 | 60 | 61 | 65 | 74 | 57 | 60 | 60 | 60 | 60 | 64 | 60 | 62 | 65 | 0 | 34 | 67 | 23 | 925,000$/1yrs |
| TEAM AVERAGE | 99.00 | 68 | 63 | 66 | 75 | 68 | 65 | 69 | 73 | 67 | 75 | 69 | 68 | 72 | 0 | 43 | 74 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Steve Ott | 60 | 65 | 68 | 68 | 59 | 55 | 86 | CAN | 43 | 4 | 500,000$ |
| 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 | 30 | 12 | 18 | 30 | 6 | 6 | 0 | 23 | 124 | 33 | 91 | 9.68% | 7 | 23.53 | 3 | 3 | 6 | 112 | 0 | 0 | 0 | 132 | 0 | 0 | 49.00% | 1051 | 0 | 0 | 0 | 0 | 0.85 | 1 | 2 | |
| 2 | Maxim Shabanov | 0 | C/RW | 30 | 10 | 16 | 26 | 4 | 4 | 0 | 18 | 100 | 32 | 76 | 10.00% | 8 | 21.51 | 3 | 4 | 7 | 112 | 0 | 0 | 0 | 78 | 0 | 0 | 39.66% | 58 | 0 | 0 | 0 | 0 | 0.81 | 0 | 1 | |
| 3 | Anders Lee | 0 | LW | 30 | 9 | 14 | 23 | 9 | 26 | 0 | 112 | 58 | 18 | 50 | 15.52% | 2 | 20.74 | 2 | 2 | 4 | 112 | 0 | 0 | 0 | 58 | 2 | 0 | 35.48% | 124 | 0 | 0 | 0 | 0 | 0.74 | 0 | 1 | |
| 4 | Alex Killorn | 0 | LW/RW | 30 | 6 | 16 | 22 | -7 | 16 | 0 | 33 | 108 | 28 | 70 | 5.56% | 9 | 19.34 | 3 | 6 | 9 | 109 | 0 | 0 | 0 | 66 | 1 | 1 | 44.44% | 45 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
| 5 | Reilly Smith | 0 | LW/RW | 30 | 7 | 11 | 18 | -8 | 2 | 0 | 13 | 83 | 23 | 67 | 8.43% | 8 | 18.51 | 4 | 6 | 10 | 109 | 0 | 0 | 0 | 48 | 1 | 0 | 48.78% | 41 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 6 | Bobby McMann | 17 | C | 30 | 8 | 10 | 18 | -8 | 26 | 0 | 73 | 76 | 21 | 52 | 10.53% | 3 | 16.82 | 2 | 5 | 7 | 108 | 0 | 0 | 0 | 0 | 3 | 0 | 38.57% | 687 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 7 | Nick Seeler | 35 | D | 30 | 5 | 12 | 17 | -3 | 45 | 5 | 53 | 44 | 10 | 30 | 11.36% | 45 | 24.84 | 1 | 5 | 6 | 112 | 0 | 0 | 0 | 97 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 8 | Ben Chiarot | 0 | D | 30 | 3 | 12 | 15 | -2 | 28 | 0 | 70 | 47 | 13 | 31 | 6.38% | 59 | 25.19 | 1 | 3 | 4 | 112 | 0 | 0 | 0 | 104 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 9 | Rasmus Ristolainen | 0 | D | 30 | 4 | 10 | 14 | 2 | 28 | 0 | 71 | 39 | 12 | 19 | 10.26% | 59 | 21.40 | 2 | 2 | 4 | 109 | 0 | 0 | 0 | 90 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 10 | Ryan Strome | 0 | C/RW | 30 | 2 | 7 | 9 | 4 | 12 | 0 | 32 | 28 | 6 | 34 | 7.14% | 1 | 10.47 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 43.98% | 332 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 11 | Adam Boqvist | 0 | D | 30 | 1 | 6 | 7 | 2 | 4 | 0 | 20 | 19 | 9 | 13 | 5.26% | 32 | 21.51 | 0 | 2 | 2 | 108 | 0 | 0 | 0 | 97 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 12 | Collin Graf | 0 | C/RW | 30 | 3 | 4 | 7 | -7 | 2 | 0 | 5 | 37 | 9 | 18 | 8.11% | 5 | 8.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 2 | 45.78% | 308 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 13 | Michael Rasmussen | 0 | C/LW | 29 | 2 | 4 | 6 | 2 | 22 | 0 | 28 | 51 | 9 | 35 | 3.92% | 4 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 14 | 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 | |
| 15 | Luca Del Bel Belluz | 0 | C | 24 | 3 | 3 | 6 | -6 | 0 | 0 | 0 | 24 | 5 | 15 | 12.50% | 1 | 7.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 16 | Luke Evangelista | 0 | RW | 30 | 3 | 1 | 4 | 4 | 0 | 0 | 6 | 38 | 10 | 11 | 7.89% | 2 | 10.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.43% | 23 | 0 | 0 | 0 | 0 | 0.27 | 0 | 1 | |
| 17 | Nathan Walker | 0 | LW | 30 | 2 | 1 | 3 | -7 | 25 | 5 | 39 | 22 | 4 | 15 | 9.09% | 2 | 7.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 15 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 18 | Simon Nemec | 0 | D | 24 | 1 | 2 | 3 | -4 | 6 | 0 | 9 | 8 | 3 | 7 | 12.50% | 32 | 14.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 19 | 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 | |
| Team Total or Average | 533 | 82 | 154 | 236 | -23 | 292 | 10 | 663 | 926 | 251 | 646 | 8.86% | 308 | 16.40 | 21 | 39 | 60 | 1114 | 0 | 0 | 0 | 875 | 13 | 6 | 44.25% | 2721 | 0 | 0 | 0 | 0 | 0.54 | 1 | 5 |
| 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 | Pheonix Copley | 18 | 10 | 5 | 2 | 0.905 | 3.22 | 1061 | 0 | 1 | 57 | 597 | 0 | 0 | 0 | 1.000 | 3 | 17 | 13 | 2 | 0 | 0 | |
| 2 | Leevi Merilainen | 13 | 4 | 8 | 1 | 0.926 | 2.62 | 757 | 8 | 1 | 33 | 447 | 0 | 0 | 1 | 0.667 | 3 | 13 | 17 | 4 | 0 | 1 | |
| Team Total or Average | 31 | 14 | 13 | 3 | 0.914 | 2.97 | 1819 | 8 | 2 | 90 | 1044 | 0 | 0 | 1 | 0.833 | 6 | 30 | 30 | 6 | 0 | 1 |
| Projected Total Cap Hit | 72,470,163$ |
| Projected Cap Space | 23,029,837$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 25,561,538$ |
| Players In Salary Cap | 25 |
| 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 | ||||||
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 | 22 | 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 | ||||||
Michael Rasmussen ![]() | C/LW | 26 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
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$ | ||||||
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 | |||||
Georgy Romanov | G | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
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 | |||||
Jansen Harkins | C/LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Joey Keane | D | 26 | 900,000$ | 900,000$ | |||||||
Jonathan Gruden | LW | 25 | 850,000$ | 850,000$ | |||||||
Josh Dunne | C | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Lukas Parik | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Mathias Emilio Pettersen | C/LW | 25 | 875,000$ | 875,000$ | |||||||
Matthew Phillips | C/LW | 27 | 0$ | ||||||||
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$ | ||||||
Oliver Chau | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Oskar Olausson | LW/RW | 23 | 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$ | ||||||
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 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 66 | 20 | 22 | 22 | 2 | 75 | 29 | 22 | 40 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 46 | 31 | 50 | 15 | 25 | 12 | 60.0% | 6.1% | 93.3% | 99.4 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 36 | 21 | 56 | 16 | 27 | 13 | 41.7% | 13.9% | 88.9% | 102.8 | FUN | |
| 3 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 21 | 14 | 26 | 7 | 12 | 5 | 0.0% | 3.2% | 91.4% | 94.7 | DULL | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 28 | 7 | 10 | 11 | 0 | 22 | 10 | 6 | 21 | 8 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 24 | 17 | 22 | 6 | 12 | 6 | 40.0% | 7.1% | 81.8% | 89.0 | Unlucky | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 4 | 1.000 | 6 | 10 | 16 | 0 | 2 | 2 | 2 | 2 | 0 | 62 | 24 | 15 | 23 | 0 | 44 | 10 | 10 | 48 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 46 | 29 | 47 | 16 | 26 | 13 | 100.0% | 9.7% | 100.0% | 109.7 | LUCKY | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 28 | 7 | 12 | 9 | 0 | 26 | 9 | 16 | 23 | 3 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 22 | 14 | 24 | 8 | 12 | 6 | 66.7% | 14.3% | 92.3% | 106.6 | LUCKY | |
| 7 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 20 | 12 | 26 | 8 | 13 | 6 | 50.0% | 9.5% | 90.9% | 100.4 | FUN | |
| 8 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 24 | 16 | 27 | 7 | 12 | 6 | 33.3% | 3.1% | 95.0% | 98.1 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 40 | 14 | 10 | 16 | 0 | 42 | 5 | 14 | 17 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 24 | 16 | 23 | 7 | 11 | 5 | 33.3% | 2.5% | 92.9% | 95.4 | DULL | |
| 10 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 52 | 35 | 42 | 14 | 25 | 13 | 42.9% | 5.6% | 91.1% | 96.6 | Unlucky | |
| 11 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 25 | 18 | 21 | 7 | 12 | 6 | 57.1% | 10.5% | 84.8% | 95.4 | FUN | |
| 12 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 21 | 14 | 25 | 7 | 13 | 6 | 62.5% | 17.1% | 87.0% | 104.1 | FUN | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 13 | 12 | 12 | 0 | 45 | 16 | 8 | 23 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 20 | 13 | 27 | 7 | 11 | 6 | 25.0% | 5.4% | 93.3% | 98.7 | DULL | |
| 14 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 23 | 17 | 23 | 7 | 12 | 5 | 0.0% | 0.0% | 88.6% | 88.6 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 37 | 11 | 12 | 14 | 0 | 35 | 11 | 16 | 17 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 19 | 12 | 28 | 8 | 12 | 5 | 75.0% | 10.8% | 91.4% | 102.2 | LUCKY | |
| 16 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 48 | 34 | 54 | 14 | 26 | 12 | 41.7% | 13.0% | 88.9% | 101.9 | FUN | |
| 17 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 21 | 14 | 25 | 7 | 12 | 5 | 100.0% | 11.5% | 97.4% | 108.9 | LUCKY | |
| 18 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 49 | 34 | 45 | 15 | 25 | 13 | 50.0% | 12.1% | 87.2% | 99.4 | FUN | |
| 19 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 13.3% | 96.8% | 110.1 | LUCKY | |
| 20 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 60 | 20 | 18 | 22 | 0 | 88 | 25 | 18 | 46 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 43 | 29 | 51 | 14 | 25 | 11 | 38.5% | 8.3% | 89.8% | 98.1 | Unlucky | |
| 21 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.0% | 86.0% | 90.0 | Unlucky | |
| 22 | 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 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 42 | 28 | 52 | 16 | 27 | 12 | 55.6% | 13.3% | 94.0% | 107.3 | LUCKY | |
| _Vs Division | 10 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 26 | 28 | -2 | 11 | 0.550 | 26 | 49 | 75 | 0 | 2 | 9 | 9 | 7 | 1 | 333 | 114 | 106 | 112 | 1 | 336 | 98 | 76 | 227 | 47 | 8 | 17.02% | 36 | 6 | 83.33% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 227 | 153 | 247 | 78 | 126 | 61 | 45.0% | 7.8% | 91.7% | 99.5 | DULL | |
| _Vs Conference | 16 | 6 | 7 | 0 | 2 | 1 | 0 | 0 | 42 | 44 | -2 | 17 | 0.531 | 42 | 77 | 119 | 0 | 2 | 15 | 13 | 12 | 2 | 539 | 186 | 163 | 187 | 3 | 531 | 160 | 138 | 364 | 77 | 11 | 14.29% | 62 | 13 | 79.03% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 376 | 257 | 384 | 122 | 201 | 99 | 50.0% | 7.8% | 91.7% | 99.5 | DULL | |
| _Since Last GM Reset | 30 | 10 | 13 | 0 | 3 | 2 | 1 | 1 | 84 | 92 | -8 | 31 | 0.517 | 84 | 155 | 239 | 1 | 2 | 34 | 24 | 22 | 4 | 930 | 307 | 307 | 309 | 12 | 1045 | 309 | 286 | 653 | 133 | 21 | 15.79% | 134 | 25 | 81.34% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 681 | 460 | 754 | 231 | 384 | 188 | 48.5% | 9.0% | 91.2% | 100.2 | LUCKY | |
| Total | 30 | 10 | 13 | 0 | 3 | 2 | 1 | 1 | 84 | 92 | -8 | 31 | 0.517 | 84 | 155 | 239 | 1 | 2 | 34 | 24 | 22 | 4 | 930 | 307 | 307 | 309 | 12 | 1045 | 309 | 286 | 653 | 133 | 21 | 15.79% | 134 | 25 | 81.34% | 0 | 481 | 1089 | 44.17% | 514 | 1140 | 45.09% | 206 | 464 | 44.40% | 681 | 460 | 754 | 231 | 384 | 188 | 48.5% | 9.0% | 91.2% | 100.2 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1089 |
| Neutral Zone Start | 464 |
| Defensive Zone Start | 1140 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1201 |
| Faceoffs Lost | 1492 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.2 | 9.57 |
| 2nd Period | 20.5 | 20.31 |
| 3rd Period | 30.8 | 30.68 |
| Overtime | 31.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 62 |
|---|---|
| PP Goal | 21 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 10 | 4 |
| Lost | 7 | 6 |
| Overtime Lost | 1 | 2 |
| PP Attempt | 133 |
|---|---|
| PP Goal | 21 |
| PK Attempt | 134 |
| PK Goal Against | 25 |
| Home | |
|---|---|
| Shots For | 31.0 |
| Shots Against | 34.8 |
| Goals For | 2.8 |
| Goals Against | 3.1 |
| Hits | 21.8 |
| Shots Blocked | 10.3 |
| Pim | 9.5 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 72,051,667$ | 0$ | 72,470,163$ | 23,448,333$ |
| 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 | 100656 | 83922 | 34008 | 66989 | 16929 |
| Attendance PCT | 93.20% | 93.25% | 94.47% | 93.04% | 94.05% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 16806 - 93.37% | 1,542,069$ | 27,757,244$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 72,051,667$ | 72,051,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 25,736,027$ | 375,269$ | 25,561,538$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 35,467,590$ | 125 | 377,873$ | 47,234,125$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 49,210,721$ | 72,051,667$ | 73,777,426$ | 60,034,295$ |
Rookie
Injured
Cold Streak
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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 |
|---|---|---|---|---|---|
| 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 |
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