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Full Scoreboard »» |
| Nashville Predators 34-26-5, 73pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Macklin Celebrini | 0 | C | 100.00 | 62 | 32 | 75 | 94 | 74 | 88 | 90 | 86 | 85 | 95 | 88 | 59 | 87 | 58 | 56 | 0 | 60 | 93 | 19 | 975,000$/2yrs | |||
Matthew Tkachuk | 0 | LW/RW | 100.00 | 75 | 33 | 65 | 85 | 80 | 85 | 76 | 80 | 57 | 83 | 81 | 54 | 81 | 72 | 69 | 0 | 35 | 88 | 28 | 8,000,000$/2yrs | |||
Troy Terry | 0 | RW | 100.00 | 50 | 32 | 90 | 81 | 72 | 85 | 90 | 75 | 60 | 83 | 74 | 63 | 75 | 73 | 72 | 0 | 38 | 85 | 28 | 7,000,000$/4yrs | |||
Anders Lee | 0 | LW | 100.00 | 71 | 38 | 83 | 68 | 93 | 82 | 90 | 69 | 61 | 70 | 76 | 57 | 72 | 85 | 96 | 0 | 62 | 82 | 35 | 7,000,000$/1yrs | |||
Maxim Shabanov | 0 | C/RW | 100.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 61 | 82 | 25 | 975,000$/1yrs | |||
Collin Graf | 0 | C/RW | 100.00 | 68 | 33 | 97 | 71 | 77 | 81 | 90 | 68 | 59 | 67 | 74 | 80 | 71 | 64 | 64 | 0 | 62 | 80 | 23 | 941,667$/1yrs | |||
Igor Chernyshov (R) | 0 | LW | 100.00 | 63 | 33 | 95 | 76 | 82 | 80 | 73 | 67 | 56 | 78 | 68 | 51 | 68 | 58 | 58 | 0 | 48 | 79 | 20 | 775,000$/1yrs | |||
Bobby McMann | 17 | C | 100.00 | 81 | 47 | 74 | 68 | 82 | 78 | 90 | 67 | 61 | 63 | 74 | 60 | 71 | 75 | 72 | 0 | 59 | 78 | 29 | 1,750,000$/2yrs | |||
Luke Evangelista | 0 | RW | 100.00 | 56 | 32 | 92 | 72 | 72 | 81 | 90 | 69 | 55 | 79 | 65 | 49 | 67 | 65 | 64 | 0 | 62 | 78 | 24 | 3,000,000$/2yrs | |||
Scott Laughton | 0 | C/LW | 100.00 | 81 | 38 | 86 | 64 | 75 | 79 | 86 | 60 | 80 | 63 | 66 | 75 | 63 | 78 | 77 | 0 | 40 | 77 | 31 | 3,000,000$/1yrs | |||
Alex Killorn | 0 | LW/RW | 100.00 | 67 | 33 | 86 | 61 | 77 | 82 | 90 | 62 | 59 | 65 | 66 | 69 | 64 | 86 | 85 | 0 | 62 | 76 | 36 | 5,350,000$/2yrs | |||
Ryan Strome | 0 | C/RW | 100.00 | 62 | 37 | 72 | 64 | 76 | 81 | 87 | 62 | 81 | 70 | 62 | 56 | 62 | 80 | 77 | 0 | 60 | 75 | 32 | 6,000,000$/1yrs | |||
Jacob Trouba | 0 | D | 100.00 | 79 | 38 | 88 | 61 | 82 | 91 | 90 | 64 | 30 | 67 | 67 | 86 | 66 | 79 | 87 | 0 | 37 | 82 | 32 | 8,000,000$/1yrs | |||
Mattias Samuelsson | 0 | D | 100.00 | 74 | 34 | 92 | 66 | 92 | 91 | 90 | 68 | 30 | 71 | 67 | 81 | 67 | 69 | 68 | 0 | 39 | 82 | 25 | 4,285,714$/5yrs | |||
Simon Nemec | 0 | D | 100.00 | 58 | 33 | 82 | 68 | 75 | 87 | 87 | 61 | 30 | 71 | 71 | 66 | 66 | 61 | 60 | 0 | 59 | 78 | 22 | 918,333$/1yrs | |||
Rasmus Ristolainen | 0 | D | 100.00 | 74 | 34 | 90 | 58 | 89 | 89 | 80 | 61 | 30 | 65 | 58 | 73 | 59 | 77 | 76 | 0 | 62 | 77 | 31 | 5,100,000$/2yrs | |||
Nick Seeler | 35 | D | 100.00 | 78 | 33 | 90 | 55 | 80 | 86 | 90 | 60 | 30 | 58 | 50 | 83 | 55 | 80 | 79 | 0 | 60 | 75 | 32 | 2,700,000$/3yrs | |||
Jonas Siegenthaler | 0 | D | 100.00 | 73 | 40 | 74 | 55 | 86 | 87 | 90 | 52 | 30 | 55 | 50 | 75 | 51 | 73 | 70 | 0 | 24 | 71 | 28 | 3,400,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Michael Rasmussen | 0 | C/LW | 100.00 | 75 | 38 | 91 | 60 | 88 | 77 | 89 | 59 | 75 | 61 | 64 | 68 | 61 | 70 | 69 | 0 | 68 | 74 | 26 | 3,200,000$/3yrs | |||
Pontus Holmberg | 0 | LW/RW | 100.00 | 65 | 35 | 86 | 60 | 78 | 76 | 86 | 62 | 74 | 63 | 63 | 64 | 62 | 70 | 68 | 0 | 20 | 73 | 27 | 2,300,000$/6yrs | |||
| TEAM AVERAGE | 100.00 | 69 | 36 | 85 | 68 | 79 | 83 | 87 | 66 | 54 | 70 | 68 | 67 | 67 | 72 | 72 | 0 | 51 | 79 | |||||||
| 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 | 70 | 87 | 26 | 2,000,000$/2yrs |
Leevi Merilainen | 0 | 100.00 | 73 | 71 | 70 | 67 | 78 | 69 | 78 | 83 | 76 | 85 | 78 | 64 | 68 | 0 | 60 | 79 | 23 | 1,200,000$/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 | 65 | 32 | 35 | 67 | 11 | 12 | 0 | 75 | 263 | 61 | 184 | 12.17% | 12 | 22.03 | 9 | 7 | 16 | 203 | 0 | 0 | 0 | 204 | 3 | 0 | 48.29% | 2071 | 0 | 0 | 0 | 4 | 0.94 | 2 | 3 | |
| 2 | Maxim Shabanov | 0 | C/RW | 65 | 16 | 35 | 51 | 2 | 14 | 0 | 44 | 208 | 54 | 151 | 7.69% | 19 | 19.62 | 3 | 13 | 16 | 223 | 0 | 0 | 0 | 92 | 2 | 0 | 33.90% | 118 | 0 | 0 | 0 | 0 | 0.80 | 0 | 1 | |
| 3 | Anders Lee | 0 | LW | 65 | 18 | 23 | 41 | 10 | 46 | 0 | 215 | 151 | 40 | 118 | 11.92% | 3 | 20.32 | 4 | 6 | 10 | 224 | 0 | 0 | 0 | 102 | 4 | 1 | 42.06% | 214 | 0 | 0 | 0 | 1 | 0.62 | 1 | 2 | |
| 4 | Alex Killorn | 0 | LW/RW | 65 | 16 | 24 | 40 | -1 | 20 | 0 | 63 | 191 | 53 | 124 | 8.38% | 17 | 17.63 | 3 | 6 | 9 | 178 | 0 | 0 | 0 | 158 | 3 | 2 | 41.46% | 82 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 5 | Matthew Tkachuk | 0 | LW/RW | 64 | 18 | 21 | 39 | -2 | 30 | 0 | 142 | 185 | 49 | 112 | 9.73% | 13 | 19.31 | 3 | 7 | 10 | 186 | 0 | 0 | 0 | 47 | 1 | 1 | 41.20% | 250 | 0 | 0 | 0 | 0 | 0.63 | 1 | 5 | |
| 6 | Nick Seeler | 35 | D | 65 | 6 | 29 | 35 | -7 | 107 | 15 | 153 | 87 | 25 | 59 | 6.90% | 111 | 23.37 | 2 | 10 | 12 | 224 | 0 | 0 | 0 | 191 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 7 | Troy Terry | 0 | RW | 64 | 15 | 19 | 34 | 4 | 6 | 0 | 26 | 176 | 46 | 138 | 8.52% | 8 | 17.96 | 7 | 5 | 12 | 207 | 0 | 0 | 0 | 1 | 2 | 1 | 44.79% | 96 | 0 | 0 | 1 | 1 | 0.59 | 0 | 1 | |
| 8 | Bobby McMann | 17 | C | 65 | 16 | 18 | 34 | -9 | 51 | 5 | 181 | 148 | 42 | 118 | 10.81% | 11 | 16.72 | 5 | 8 | 13 | 217 | 0 | 0 | 0 | 1 | 4 | 1 | 40.04% | 1436 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 9 | Rasmus Ristolainen | 0 | D | 65 | 5 | 27 | 32 | 0 | 46 | 0 | 109 | 85 | 32 | 61 | 5.88% | 108 | 20.82 | 2 | 7 | 9 | 229 | 0 | 0 | 0 | 188 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 10 | Mattias Samuelsson | 0 | D | 66 | 10 | 22 | 32 | 10 | 70 | 0 | 124 | 80 | 31 | 53 | 12.50% | 69 | 19.83 | 4 | 3 | 7 | 136 | 0 | 0 | 0 | 135 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 11 | Scott Laughton | 0 | C/LW | 67 | 16 | 13 | 29 | -3 | 47 | 5 | 79 | 119 | 37 | 75 | 13.45% | 17 | 13.65 | 1 | 3 | 4 | 47 | 0 | 1 | 1 | 65 | 3 | 2 | 54.50% | 433 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 12 | Jacob Trouba | 0 | D | 64 | 5 | 22 | 27 | -3 | 97 | 5 | 191 | 43 | 15 | 36 | 11.63% | 90 | 19.63 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 134 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 13 | Luke Evangelista | 0 | RW | 65 | 10 | 14 | 24 | 2 | 4 | 0 | 16 | 87 | 28 | 43 | 11.49% | 2 | 11.14 | 2 | 4 | 6 | 59 | 0 | 0 | 0 | 0 | 2 | 0 | 41.86% | 129 | 0 | 0 | 0 | 0 | 0.66 | 0 | 2 | |
| 14 | Collin Graf | 0 | C/RW | 65 | 8 | 10 | 18 | -4 | 8 | 0 | 19 | 109 | 24 | 68 | 7.34% | 18 | 10.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 2 | 2 | 41.78% | 639 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 15 | Simon Nemec | 0 | D | 59 | 6 | 11 | 17 | 0 | 24 | 0 | 45 | 51 | 18 | 39 | 11.76% | 72 | 19.20 | 4 | 2 | 6 | 102 | 0 | 0 | 0 | 120 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 16 | Ryan Strome | 0 | C/RW | 65 | 3 | 13 | 16 | -1 | 32 | 10 | 70 | 68 | 23 | 65 | 4.41% | 3 | 10.37 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 8 | 0 | 0 | 47.55% | 713 | 0 | 0 | 0 | 0 | 0.47 | 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 | Jonas Siegenthaler | 0 | D | 33 | 1 | 5 | 6 | -4 | 30 | 0 | 54 | 22 | 6 | 10 | 4.55% | 28 | 13.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 19 | Igor Chernyshov | 0 | LW | 14 | 1 | 3 | 4 | -1 | 0 | 0 | 3 | 28 | 6 | 14 | 3.57% | 0 | 15.34 | 0 | 1 | 1 | 21 | 0 | 0 | 0 | 0 | 1 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.37 | 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 | 1151 | 207 | 352 | 559 | -5 | 676 | 40 | 1673 | 2198 | 617 | 1549 | 9.42% | 612 | 16.97 | 49 | 84 | 133 | 2291 | 0 | 1 | 1 | 1616 | 33 | 14 | 44.90% | 6349 | 0 | 0 | 2 | 6 | 0.57 | 4 | 14 |
| 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 | 35 | 19 | 9 | 2 | 0.922 | 2.27 | 1771 | 0 | 2 | 67 | 859 | 0 | 2 | 1 | 0.800 | 5 | 28 | 35 | 6 | 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 | 43 | 5 | 1 | 1 | |
| Team Total or Average | 60 | 27 | 20 | 4 | 0.920 | 2.55 | 3101 | 8 | 3 | 132 | 1640 | 0 | 3 | 3 | 0.750 | 8 | 50 | 78 | 11 | 2 | 2 |
| Projected Total Cap Hit | 75,985,007$ |
| Projected Cap Space | 19,514,993$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 62,600,966$ |
| 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 | 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 | 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 | 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 ![]() | 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 | 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 | 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 | 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 | ||||||
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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 43 | 28 | 51 | 15 | 26 | 13 | 54.5% | 12.5% | 89.7% | 102.2 | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 75 | 52 | 66 | 21 | 37 | 19 | 28.6% | 6.1% | 89.2% | 95.4 | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 80 | 55 | 62 | 21 | 37 | 19 | 55.6% | 5.8% | 92.2% | 98.0 | DULL | |
| 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 65 | 43 | 76 | 23 | 37 | 18 | 35.7% | 6.9% | 89.8% | 96.7 | Unlucky | |
| 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 42 | 27 | 52 | 13 | 24 | 12 | 37.5% | 9.5% | 92.9% | 102.4 | LUCKY | |
| 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 41 | 27 | 55 | 14 | 23 | 11 | 100.0% | 12.8% | 98.8% | 111.5 | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 39 | 25 | 55 | 13 | 24 | 11 | 27.3% | 8.3% | 85.5% | 93.8 | Unlucky | |
| 30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 71 | 22 | 24 | 25 | 0 | 48 | 10 | 8 | 48 | 11 | 2 | 18.18% | 4 | 1 | 75.00% | 0 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 55 | 38 | 38 | 14 | 26 | 13 | 57.1% | 8.5% | 91.7% | 100.1 | DULL | |
| _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 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 510 | 347 | 538 | 169 | 280 | 136 | 44.7% | 8.1% | 91.0% | 99.1 | Unlucky | |
| _Vs Conference | 36 | 16 | 14 | 0 | 2 | 3 | 1 | 0 | 96 | 104 | -8 | 41 | 0.569 | 96 | 172 | 268 | 1 | 2 | 34 | 33 | 26 | 4 | 1168 | 381 | 372 | 408 | 10 | 1126 | 337 | 304 | 870 | 161 | 25 | 15.53% | 130 | 27 | 79.23% | 0 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 852 | 583 | 861 | 271 | 457 | 225 | 48.0% | 8.2% | 90.8% | 99.0 | Unlucky | |
| _Since Last GM Reset | 65 | 27 | 26 | 0 | 5 | 4 | 2 | 1 | 181 | 189 | -8 | 73 | 0.562 | 181 | 330 | 511 | 3 | 4 | 66 | 61 | 47 | 8 | 2022 | 643 | 679 | 687 | 21 | 2121 | 634 | 588 | 1507 | 272 | 44 | 16.18% | 258 | 49 | 81.01% | 0 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 1504 | 1022 | 1600 | 490 | 827 | 408 | 49.5% | 9.0% | 91.1% | 100.0 | Unlucky | |
| Total | 65 | 27 | 26 | 0 | 5 | 4 | 2 | 1 | 181 | 189 | -8 | 73 | 0.562 | 181 | 330 | 511 | 3 | 4 | 66 | 61 | 47 | 8 | 2022 | 643 | 679 | 687 | 21 | 2121 | 634 | 588 | 1507 | 272 | 44 | 16.18% | 258 | 49 | 81.01% | 0 | 1022 | 2334 | 43.79% | 1075 | 2382 | 45.13% | 454 | 991 | 45.81% | 1504 | 1022 | 1600 | 490 | 827 | 408 | 49.5% | 9.0% | 91.1% | 100.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2334 |
| Neutral Zone Start | 991 |
| Defensive Zone Start | 2382 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2551 |
| Faceoffs Lost | 3156 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.9 | 9.57 |
| 2nd Period | 20.3 | 20.31 |
| 3rd Period | 30.9 | 30.68 |
| Overtime | 31.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 134 |
|---|---|
| PP Goal | 44 |
| PK Goal | 0 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 20 | 14 |
| Lost | 11 | 15 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 272 |
|---|---|
| PP Goal | 44 |
| PK Attempt | 258 |
| PK Goal Against | 49 |
| Home | |
|---|---|
| Shots For | 31.1 |
| Shots Against | 32.6 |
| Goals For | 2.8 |
| Goals Against | 2.9 |
| Hits | 23.2 |
| Shots Blocked | 9.8 |
| Pim | 9.0 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 78,845,714$ | 0$ | 75,985,007$ | 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 | 182818 | 155072 | 61790 | 123275 | 30875 |
| Attendance PCT | 92.33% | 93.98% | 93.62% | 93.39% | 93.56% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 8 | 16783 - 93.24% | 1,536,586$ | 50,707,341$ | 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 |
|---|---|---|---|
| 63,426,378$ | 405,577$ | 62,600,966$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 12,292,689$ | 33 | 413,259$ | 13,637,547$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 14,015,400$ | 78,845,714$ | 57,494,649$ | 55,771,938$ |
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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| Priority | Type | Description |
|---|---|---|
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| 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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