| Nashville Predators 42-33-7, 91pts · 9th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matthew Tkachuk | 0 | LW/RW | 100.00 | 72 | 39 | 63 | 84 | 80 | 85 | 78 | 79 | 58 | 84 | 81 | 55 | 80 | 73 | 69 | 0 | 38 | 88 | 28 | 8,000,000$/2yrs | |||
Macklin Celebrini | 0 | C | 100.00 | 63 | 32 | 83 | 87 | 74 | 89 | 88 | 77 | 85 | 85 | 83 | 61 | 80 | 58 | 57 | 0 | 62 | 88 | 19 | 975,000$/2yrs | |||
Troy Terry | 0 | C/LW/RW | 100.00 | 53 | 32 | 91 | 75 | 72 | 86 | 86 | 72 | 59 | 78 | 73 | 57 | 73 | 73 | 72 | 0 | 40 | 82 | 28 | 7,000,000$/4yrs | |||
Maxim Shabanov | 0 | C/RW | 99.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 64 | 82 | 25 | 975,000$/1yrs | |||
Anders Lee | 0 | LW | 100.00 | 71 | 42 | 83 | 66 | 93 | 82 | 90 | 67 | 61 | 68 | 74 | 56 | 70 | 86 | 97 | 0 | 64 | 80 | 35 | 7,000,000$/1yrs | |||
Bobby McMann | 17 | C/LW | 100.00 | 79 | 38 | 86 | 70 | 82 | 80 | 88 | 67 | 58 | 64 | 76 | 58 | 71 | 75 | 74 | 0 | 63 | 79 | 29 | 1,750,000$/2yrs | |||
Igor Chernyshov (R) | 0 | LW | 100.00 | 63 | 33 | 92 | 74 | 82 | 80 | 69 | 67 | 55 | 71 | 74 | 55 | 71 | 59 | 58 | 0 | 50 | 79 | 20 | 775,000$/1yrs | |||
Collin Graf | 0 | C/RW | 100.00 | 67 | 33 | 93 | 70 | 77 | 82 | 83 | 65 | 58 | 67 | 69 | 76 | 67 | 64 | 64 | 0 | 64 | 78 | 23 | 941,667$/1yrs | |||
Alex Killorn | 0 | LW/RW | 100.00 | 67 | 33 | 85 | 61 | 77 | 83 | 90 | 63 | 59 | 64 | 68 | 69 | 65 | 87 | 85 | 0 | 64 | 77 | 36 | 5,350,000$/2yrs | |||
Scott Laughton | 0 | C/LW | 100.00 | 80 | 38 | 84 | 63 | 75 | 79 | 87 | 60 | 82 | 62 | 67 | 75 | 63 | 79 | 77 | 0 | 42 | 77 | 31 | 3,000,000$/1yrs | |||
Luke Evangelista | 0 | RW | 100.00 | 58 | 32 | 88 | 68 | 72 | 80 | 88 | 66 | 55 | 74 | 64 | 51 | 65 | 65 | 64 | 0 | 64 | 76 | 24 | 3,000,000$/2yrs | |||
Ryan Strome | 0 | C/RW | 100.00 | 62 | 38 | 73 | 64 | 76 | 80 | 86 | 62 | 80 | 69 | 63 | 56 | 63 | 80 | 77 | 0 | 66 | 75 | 32 | 6,000,000$/1yrs | |||
Jacob Trouba | 0 | D | 100.00 | 79 | 41 | 79 | 60 | 82 | 91 | 89 | 63 | 30 | 65 | 59 | 85 | 61 | 79 | 86 | 0 | 39 | 80 | 32 | 8,000,000$/1yrs | |||
Mattias Samuelsson | 0 | D | 100.00 | 76 | 34 | 87 | 62 | 92 | 90 | 87 | 63 | 30 | 67 | 63 | 78 | 63 | 69 | 68 | 0 | 41 | 79 | 26 | 4,285,714$/5yrs | |||
Rasmus Ristolainen | 0 | D | 100.00 | 72 | 34 | 90 | 58 | 89 | 89 | 82 | 61 | 30 | 66 | 57 | 71 | 59 | 78 | 77 | 0 | 64 | 77 | 31 | 5,100,000$/2yrs | |||
Nick Seeler | 35 | D | 100.00 | 75 | 39 | 83 | 55 | 80 | 84 | 89 | 58 | 30 | 61 | 56 | 77 | 57 | 80 | 79 | 0 | 62 | 75 | 32 | 2,700,000$/3yrs | |||
Jonas Siegenthaler | 0 | D | 100.00 | 71 | 37 | 77 | 55 | 86 | 87 | 86 | 56 | 30 | 62 | 53 | 71 | 54 | 73 | 71 | 0 | 26 | 73 | 28 | 3,400,000$/3yrs | |||
Simon Nemec | 0 | D | 100.00 | 57 | 33 | 85 | 62 | 75 | 85 | 80 | 53 | 30 | 62 | 65 | 63 | 59 | 62 | 60 | 0 | 61 | 72 | 22 | 918,333$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Michael Rasmussen | 0 | C/LW | 100.00 | 73 | 37 | 92 | 59 | 88 | 76 | 87 | 58 | 74 | 60 | 62 | 71 | 60 | 70 | 69 | 0 | 51 | 73 | 26 | 3,200,000$/3yrs | |||
Pontus Holmberg | 0 | LW/RW | 100.00 | 66 | 36 | 85 | 59 | 78 | 76 | 86 | 60 | 62 | 62 | 63 | 61 | 62 | 70 | 69 | 0 | 20 | 72 | 27 | 2,300,000$/6yrs | |||
| TEAM AVERAGE | 99.95 | 68 | 36 | 84 | 66 | 79 | 83 | 85 | 65 | 53 | 68 | 67 | 66 | 66 | 72 | 72 | 0 | 52 | 78 | |||||||
| 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 | 98.00 | 77 | 86 | 77 | 84 | 84 | 81 | 84 | 88 | 88 | 87 | 84 | 70 | 74 | 0 | 68 | 87 | 26 | 2,000,000$/2yrs |
Leevi Merilainen | 0 | 100.00 | 73 | 71 | 70 | 67 | 78 | 69 | 78 | 83 | 76 | 85 | 78 | 64 | 68 | 0 | 61 | 79 | 23 | 1,200,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 75 | 79 | 74 | 76 | 81 | 75 | 81 | 86 | 82 | 86 | 81 | 67 | 71 | 0 | 65 | 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 | 82 | 39 | 52 | 91 | 22 | 14 | 0 | 100 | 328 | 85 | 226 | 11.89% | 13 | 21.48 | 11 | 10 | 21 | 264 | 0 | 0 | 0 | 204 | 4 | 1 | 48.24% | 2535 | 0 | 0 | 0 | 4 | 1.03 | 3 | 5 | |
| 2 | Maxim Shabanov | 0 | C/RW | 82 | 25 | 43 | 68 | 12 | 23 | 5 | 69 | 272 | 63 | 190 | 9.19% | 25 | 19.69 | 4 | 14 | 18 | 273 | 0 | 0 | 0 | 133 | 2 | 3 | 30.77% | 208 | 0 | 0 | 0 | 0 | 0.84 | 0 | 1 | |
| 3 | Matthew Tkachuk | 0 | LW/RW | 81 | 24 | 29 | 53 | 4 | 48 | 0 | 179 | 243 | 69 | 156 | 9.88% | 14 | 19.11 | 3 | 9 | 12 | 247 | 0 | 0 | 0 | 48 | 2 | 2 | 42.61% | 284 | 0 | 0 | 0 | 0 | 0.68 | 2 | 7 | |
| 4 | Troy Terry | 0 | C/LW/RW | 81 | 17 | 34 | 51 | 5 | 6 | 0 | 32 | 214 | 55 | 171 | 7.94% | 12 | 18.31 | 8 | 9 | 17 | 267 | 0 | 0 | 0 | 13 | 2 | 1 | 43.48% | 138 | 0 | 0 | 1 | 1 | 0.69 | 0 | 3 | |
| 5 | Anders Lee | 0 | LW | 82 | 21 | 27 | 48 | 9 | 56 | 0 | 227 | 179 | 51 | 144 | 11.73% | 4 | 18.42 | 4 | 6 | 10 | 224 | 0 | 0 | 0 | 109 | 4 | 1 | 43.97% | 232 | 0 | 0 | 0 | 1 | 0.64 | 1 | 2 | |
| 6 | Nick Seeler | 35 | D | 82 | 11 | 36 | 47 | -7 | 117 | 15 | 177 | 110 | 31 | 73 | 10.00% | 139 | 22.45 | 2 | 11 | 13 | 278 | 0 | 0 | 0 | 255 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 7 | Mattias Samuelsson | 0 | D | 83 | 14 | 31 | 45 | 9 | 98 | 0 | 173 | 107 | 37 | 80 | 13.08% | 108 | 20.65 | 4 | 3 | 7 | 189 | 0 | 0 | 0 | 186 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 8 | Alex Killorn | 0 | LW/RW | 82 | 18 | 26 | 44 | 1 | 20 | 0 | 74 | 211 | 60 | 130 | 8.53% | 19 | 16.38 | 3 | 6 | 9 | 179 | 0 | 0 | 0 | 239 | 4 | 2 | 43.30% | 97 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 9 | Bobby McMann | 17 | C/LW | 82 | 18 | 21 | 39 | -14 | 75 | 15 | 216 | 178 | 46 | 142 | 10.11% | 12 | 16.14 | 5 | 8 | 13 | 217 | 0 | 0 | 0 | 1 | 5 | 1 | 40.67% | 1726 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 10 | Jacob Trouba | 0 | D | 81 | 8 | 30 | 38 | 4 | 123 | 5 | 225 | 60 | 20 | 50 | 13.33% | 113 | 19.75 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 193 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 11 | Rasmus Ristolainen | 0 | D | 82 | 6 | 31 | 37 | 9 | 60 | 0 | 129 | 106 | 39 | 75 | 5.66% | 121 | 20.62 | 3 | 7 | 10 | 292 | 0 | 0 | 0 | 194 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 12 | Scott Laughton | 0 | C/LW | 84 | 17 | 16 | 33 | -4 | 63 | 5 | 106 | 136 | 40 | 92 | 12.50% | 18 | 13.45 | 1 | 3 | 4 | 47 | 0 | 1 | 1 | 105 | 3 | 2 | 51.95% | 666 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 13 | Luke Evangelista | 0 | RW | 82 | 11 | 18 | 29 | 5 | 6 | 0 | 20 | 108 | 31 | 53 | 10.19% | 3 | 10.59 | 2 | 6 | 8 | 115 | 0 | 0 | 0 | 0 | 2 | 0 | 43.17% | 139 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
| 14 | Collin Graf | 0 | C/RW | 82 | 13 | 13 | 26 | -7 | 14 | 0 | 25 | 156 | 40 | 99 | 8.33% | 22 | 11.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 182 | 3 | 2 | 41.73% | 798 | 0 | 0 | 1 | 0 | 0.53 | 0 | 0 | |
| 15 | Simon Nemec | 0 | D | 76 | 8 | 15 | 23 | 2 | 36 | 0 | 63 | 80 | 25 | 56 | 10.00% | 88 | 19.98 | 6 | 2 | 8 | 162 | 0 | 0 | 0 | 153 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 16 | Ryan Strome | 0 | C/RW | 82 | 3 | 16 | 19 | 2 | 44 | 20 | 83 | 81 | 28 | 69 | 3.70% | 5 | 9.57 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 19 | 0 | 0 | 48.00% | 848 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 17 | Michael Rasmussen | 0 | C/LW | 60 | 5 | 8 | 13 | -7 | 32 | 0 | 62 | 90 | 26 | 78 | 5.56% | 10 | 9.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 40 | 1 | 0 | 42.68% | 157 | 0 | 0 | 1 | 0 | 0.45 | 0 | 0 | |
| 18 | Igor Chernyshov | 0 | LW | 31 | 5 | 4 | 9 | -4 | 2 | 0 | 8 | 53 | 16 | 34 | 9.43% | 0 | 14.62 | 0 | 2 | 2 | 77 | 0 | 0 | 0 | 0 | 1 | 0 | 29.17% | 24 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 19 | Jonas Siegenthaler | 0 | D | 50 | 1 | 6 | 7 | -5 | 36 | 0 | 79 | 22 | 7 | 12 | 4.55% | 51 | 14.00 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 68 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 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 | 1457 | 264 | 456 | 720 | 34 | 873 | 65 | 2049 | 2741 | 770 | 1933 | 9.63% | 778 | 16.82 | 56 | 98 | 154 | 2883 | 0 | 1 | 1 | 2150 | 40 | 20 | 45.00% | 7853 | 0 | 0 | 3 | 6 | 0.59 | 6 | 20 |
| 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 | 48 | 27 | 12 | 3 | 0.922 | 2.33 | 2472 | 0 | 3 | 96 | 1235 | 0 | 2 | 1 | 0.800 | 10 | 40 | 36 | 9 | 2 | 1 | |
| 2 | Leevi Merilainen | 32 | 8 | 14 | 3 | 0.905 | 3.31 | 1634 | 8 | 1 | 90 | 945 | 0 | 1 | 2 | 0.667 | 3 | 26 | 56 | 5 | 1 | 1 | |
| Team Total or Average | 80 | 35 | 26 | 6 | 0.915 | 2.72 | 4107 | 8 | 4 | 186 | 2180 | 0 | 3 | 3 | 0.769 | 13 | 66 | 92 | 14 | 3 | 2 |
| Projected Total Cap Hit | 75,973,025$ |
| Projected Cap Space | 19,526,975$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 75,973,025$ |
| Players In Salary Cap | 23 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
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/LW | 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 | ||||||
Jacob Trouba ![]() | D | 32 | 8,000,000$ | 8,000,000$ | 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 | ||||
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 | |||||
Matthew Tkachuk ![]() | LW/RW | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Mattias Samuelsson ![]() | D | 26 | 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 | 27 | 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 | |||||
Ryan Strome ![]() | C/RW | 32 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Scott Laughton ![]() | C/LW | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Simon Nemec | D | 22 | 918,333$ | 918,333$ | RFA | ||||||
Troy Terry ![]() | C/LW/RW | 28 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 24 | 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 | 24 | 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 | 25 | 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 | |||||
Joel Armia ![]() | RW | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
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 | 26 | 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 | ||||||
Ty Gallagher | D | 23 | 0$ | RFA | |||||||
Tyler Tucker | D | 26 | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 36 | 21 | 56 | 16 | 27 | 13 | 41.7% | 13.9% | 88.9% | 102.8 | FUN | |
| 3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 60 | 18 | 12 | 29 | 1 | 49 | 11 | 18 | 40 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 48 | 32 | 45 | 15 | 27 | 14 | 37.5% | 6.7% | 87.8% | 94.4 | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 44 | 30 | 48 | 14 | 26 | 13 | 77.8% | 12.9% | 93.2% | 106.1 | LUCKY | |
| 9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 1 | 1 | 48 | 18 | 14 | 15 | 1 | 58 | 20 | 20 | 49 | 10 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 43 | 28 | 51 | 15 | 26 | 13 | 54.5% | 12.5% | 89.7% | 102.2 | FUN | |
| 10 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 75 | 13 | 27 | 34 | 4 | 88 | 23 | 20 | 35 | 9 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 46 | 30 | 53 | 15 | 25 | 12 | 28.6% | 2.7% | 93.2% | 95.8 | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 49 | 34 | 46 | 14 | 24 | 12 | 55.6% | 8.5% | 91.5% | 100.1 | DULL | |
| 12 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 10 | 15 | -5 | 3 | 0.375 | 10 | 18 | 28 | 0 | 0 | 5 | 3 | 2 | 0 | 158 | 53 | 47 | 54 | 7 | 144 | 43 | 48 | 96 | 14 | 3 | 21.43% | 18 | 2 | 88.89% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 99 | 68 | 94 | 29 | 51 | 25 | 35.0% | 6.3% | 89.6% | 95.9 | Unlucky | |
| 13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 12 | 18 | 0 | 0 | 5 | 0 | 1 | 0 | 104 | 38 | 26 | 40 | 0 | 77 | 25 | 20 | 81 | 15 | 1 | 6.67% | 10 | 2 | 80.00% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 80 | 55 | 62 | 21 | 37 | 19 | 55.6% | 5.8% | 92.2% | 98.0 | DULL | |
| 14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 4 | 4 | 2 | 0 | 93 | 35 | 27 | 31 | 0 | 97 | 23 | 20 | 77 | 14 | 2 | 14.29% | 10 | 5 | 50.00% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 71 | 49 | 71 | 22 | 37 | 17 | 53.3% | 10.8% | 87.6% | 98.4 | FUN | |
| 15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 68 | 31 | 23 | 14 | 0 | 41 | 15 | 16 | 61 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 46 | 31 | 49 | 14 | 24 | 12 | 53.8% | 13.2% | 82.9% | 96.2 | FUN | |
| 16 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 4 | 4 | 2 | 0 | 80 | 31 | 29 | 20 | 0 | 107 | 32 | 36 | 81 | 14 | 2 | 14.29% | 12 | 4 | 66.67% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 67 | 45 | 76 | 23 | 36 | 18 | 53.3% | 12.5% | 89.7% | 102.2 | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 86 | 58 | 102 | 32 | 50 | 24 | 44.4% | 7.7% | 91.4% | 99.1 | DULL | |
| 18 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | -1 | 4 | 0.500 | 12 | 21 | 33 | 0 | 0 | 7 | 3 | 2 | 0 | 115 | 44 | 42 | 29 | 0 | 149 | 43 | 37 | 97 | 18 | 1 | 5.56% | 16 | 2 | 87.50% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 85 | 57 | 103 | 31 | 50 | 23 | 50.0% | 10.4% | 91.3% | 101.7 | LUCKY | |
| 19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 46 | 10 | 18 | 18 | 0 | 57 | 16 | 18 | 38 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 46 | 33 | 48 | 14 | 24 | 11 | 50.0% | 6.5% | 89.5% | 96.0 | Unlucky | |
| 20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 42 | 11 | 14 | 17 | 0 | 84 | 18 | 20 | 47 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 42 | 27 | 52 | 13 | 24 | 12 | 37.5% | 9.5% | 92.9% | 102.4 | LUCKY | |
| 21 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 21 | 32 | 0 | 0 | 5 | 2 | 4 | 0 | 141 | 41 | 45 | 55 | 0 | 114 | 35 | 46 | 85 | 21 | 3 | 14.29% | 21 | 5 | 76.19% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 96 | 65 | 95 | 31 | 48 | 23 | 66.7% | 7.8% | 92.1% | 99.9 | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 48 | 34 | 54 | 14 | 26 | 12 | 41.7% | 13.0% | 88.9% | 101.9 | FUN | |
| 23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 4 | 0 | 2 | 0 | 47 | 12 | 16 | 19 | 0 | 81 | 26 | 24 | 35 | 8 | 1 | 12.50% | 12 | 1 | 91.67% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 41 | 27 | 55 | 14 | 23 | 11 | 100.0% | 12.8% | 98.8% | 111.5 | LUCKY | |
| 24 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 9 | 6 | 6 | 1.000 | 15 | 29 | 44 | 0 | 0 | 8 | 3 | 3 | 1 | 99 | 34 | 31 | 33 | 1 | 72 | 26 | 23 | 67 | 18 | 4 | 22.22% | 8 | 1 | 87.50% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 71 | 50 | 69 | 23 | 39 | 19 | 57.9% | 15.2% | 87.5% | 102.7 | FUN | |
| 25 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 4 | 3 | 2 | 2 | 88 | 31 | 28 | 27 | 5 | 90 | 20 | 37 | 77 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 72 | 49 | 74 | 21 | 38 | 19 | 50.0% | 11.4% | 90.0% | 101.4 | FUN | |
| 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 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 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 42 | 28 | 52 | 16 | 27 | 12 | 55.6% | 13.3% | 94.0% | 107.3 | LUCKY | |
| 29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 2 | 0.333 | 11 | 22 | 33 | 0 | 0 | 5 | 5 | 1 | 0 | 99 | 37 | 32 | 30 | 0 | 106 | 39 | 45 | 68 | 8 | 1 | 12.50% | 17 | 5 | 70.59% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 64 | 42 | 76 | 23 | 39 | 19 | 50.0% | 11.1% | 85.8% | 97.0 | FUN | |
| 30 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.333 | 6 | 10 | 16 | 1 | 0 | 4 | 2 | 0 | 0 | 67 | 28 | 16 | 23 | 0 | 97 | 42 | 32 | 58 | 9 | 1 | 11.11% | 16 | 3 | 81.25% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 60 | 39 | 84 | 21 | 35 | 16 | 38.5% | 9.0% | 88.7% | 97.6 | FUN | |
| 31 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 3 | 4 | 0 | 106 | 27 | 39 | 40 | 0 | 84 | 20 | 10 | 74 | 13 | 2 | 15.38% | 5 | 1 | 80.00% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 80 | 56 | 61 | 21 | 38 | 20 | 63.6% | 8.5% | 94.0% | 102.5 | DULL | |
| _Vs Division | 26 | 12 | 9 | 0 | 1 | 2 | 1 | 1 | 76 | 76 | 0 | 31 | 0.596 | 76 | 137 | 213 | 0 | 2 | 32 | 24 | 18 | 3 | 849 | 271 | 276 | 293 | 15 | 840 | 246 | 239 | 604 | 110 | 17 | 15.45% | 99 | 14 | 85.86% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 603 | 412 | 639 | 201 | 331 | 161 | 48.8% | 9.0% | 91.0% | 99.9 | FUN | |
| _Vs Conference | 50 | 23 | 19 | 0 | 2 | 3 | 2 | 1 | 148 | 151 | -3 | 58 | 0.580 | 148 | 265 | 413 | 1 | 2 | 61 | 49 | 34 | 6 | 1602 | 525 | 514 | 550 | 22 | 1592 | 484 | 473 | 1185 | 210 | 31 | 14.76% | 197 | 39 | 80.20% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 1172 | 801 | 1216 | 377 | 633 | 312 | 51.1% | 9.2% | 90.5% | 99.8 | FUN | |
| _Since Last GM Reset | 82 | 34 | 33 | 0 | 5 | 5 | 3 | 2 | 239 | 247 | -8 | 91 | 0.555 | 239 | 434 | 673 | 3 | 4 | 94 | 82 | 55 | 10 | 2565 | 817 | 858 | 870 | 34 | 2675 | 800 | 785 | 1883 | 335 | 51 | 15.22% | 338 | 64 | 81.07% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 1895 | 1289 | 2026 | 619 | 1040 | 514 | 50.7% | 9.3% | 90.8% | 100.1 | FUN | |
| Total | 82 | 34 | 33 | 0 | 5 | 5 | 3 | 2 | 239 | 247 | -8 | 91 | 0.555 | 239 | 434 | 673 | 3 | 4 | 94 | 82 | 55 | 10 | 2565 | 817 | 858 | 870 | 34 | 2675 | 800 | 785 | 1883 | 335 | 51 | 15.22% | 338 | 64 | 81.07% | 0 | 1288 | 2948 | 43.69% | 1363 | 2991 | 45.57% | 583 | 1258 | 46.34% | 1895 | 1289 | 2026 | 619 | 1040 | 514 | 50.7% | 9.3% | 90.8% | 100.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2948 |
| Neutral Zone Start | 1258 |
| Defensive Zone Start | 2991 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3234 |
| Faceoffs Lost | 3963 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.4 | 20.31 |
| 3rd Period | 31.0 | 30.68 |
| Overtime | 31.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 185 |
|---|---|
| PP Goal | 51 |
| PK Goal | 0 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 22 | 20 |
| Lost | 15 | 18 |
| Overtime Lost | 4 | 3 |
| PP Attempt | 335 |
|---|---|
| PP Goal | 51 |
| PK Attempt | 338 |
| PK Goal Against | 64 |
| Home | |
|---|---|
| Shots For | 31.3 |
| Shots Against | 32.6 |
| Goals For | 2.9 |
| Goals Against | 3.0 |
| Hits | 23.0 |
| Shots Blocked | 9.8 |
| Pim | 9.6 |
| 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 | @ | Red Wings3,Predators4 (OT) | RECAP | |||||||||||
| 2026-03-04 | @ | Predators3,Blue Jackets0 | RECAP | |||||||||||
| 2026-03-06 | @ | Bruins3,Predators2 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Predators2,Sabres0 | RECAP | |||||||||||
| 2026-03-11 | @ | Predators2,Kraken1 | RECAP | |||||||||||
| 2026-03-13 | @ | Predators2,Canucks1 | RECAP | |||||||||||
| 2026-03-16 | @ | Predators5,Oilers2 | RECAP | |||||||||||
| 2026-03-18 | @ | Predators7,Jets3 | RECAP | |||||||||||
| 2026-03-20 | @ | Kraken1,Predators3 | RECAP | |||||||||||
| 2026-03-22 | @ | Golden Knights1,Predators2 | RECAP | |||||||||||
| 2026-03-23 | @ | Predators3,Blackhawks4 | RECAP | |||||||||||
| 2026-03-25 | @ | Sharks5,Predators3 | RECAP | |||||||||||
| 2026-03-27 | @ | Devils3,Predators2 (OT) | RECAP | |||||||||||
| 2026-03-29 | @ | Canadiens4,Predators1 | RECAP | |||||||||||
| 2026-03-30 | @ | Predators3,Lightning4 | RECAP | |||||||||||
| 2026-04-03 | @ | Predators2,Kings5 | RECAP | |||||||||||
| 2026-04-05 | @ | Predators6,Sharks2 | RECAP | |||||||||||
| 2026-04-07 | @ | Predators4,Kings2 | RECAP | |||||||||||
| 2026-04-08 | @ | Predators3,Ducks2 (SO) | RECAP | |||||||||||
| 2026-04-10 | @ | Predators6,Mammoth2 | RECAP | |||||||||||
| 2026-04-12 | @ | Wild4,Predators3 (SO) | RECAP | |||||||||||
| 2026-04-14 | @ | Sharks8,Predators2 | RECAP | |||||||||||
| 2026-04-17 | @ | Ducks6,Predators3 | RECAP | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 78,845,714$ | 0$ | 75,973,025$ | 16,654,286$ |
| 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 | 228580 | 192392 | 77090 | 153150 | 38295 |
| Attendance PCT | 92.92% | 93.85% | 94.01% | 93.38% | 93.40% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 16817 - 93.43% | 1,540,577$ | 63,163,649$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 78,845,714$ | 78,845,714$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 77,016,398$ | 405,577$ | 75,973,025$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 413,259$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 78,845,714$ | 55,983,084$ | 55,983,084$ |
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 |
|---|---|---|---|---|---|---|---|---|
| 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 | |||
| Cameron Allen | 2023 | 113 | |||
| Cole Hutson | 2024 | 31 | |||
| Cruz Lucius | 2022 | 109 | |||
| Eric Engstrand | |||||
| Ethan Czata | 2025 | 65 | |||
| Ethan Miedema | 2023 | 112 | |||
| 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 | |||
| 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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