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Full Scoreboard »» |
Nashville Predators 3-3-1, 7pts · 6th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 99.00 | 62 | 32 | 86 | 82 | 74 | 89 | 76 | 72 | 85 | 78 | 78 | 61 | 75 | 56 | 55 | 0 | 40 | 83 | 19 | 975,000$/2yrs | |||
![]() | 0 | C/RW | 99.00 | 63 | 37 | 90 | 74 | 58 | 80 | 89 | 74 | 43 | 78 | 73 | 68 | 75 | 65 | 64 | 0 | 40 | 82 | 25 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 77 | 42 | 78 | 66 | 93 | 83 | 90 | 68 | 60 | 66 | 74 | 60 | 71 | 84 | 95 | 0 | 40 | 80 | 35 | 7,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 33 | 80 | 65 | 77 | 86 | 87 | 66 | 59 | 66 | 72 | 68 | 69 | 85 | 83 | 0 | 40 | 79 | 36 | 5,350,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 66 | 74 | 82 | 89 | 64 | 58 | 70 | 66 | 68 | 65 | 83 | 82 | 0 | 40 | 78 | 34 | 5,000,000$/3yrs | |||
![]() | 17 | C | 100.00 | 79 | 39 | 79 | 68 | 82 | 78 | 85 | 66 | 58 | 62 | 72 | 59 | 69 | 73 | 71 | 0 | 40 | 77 | 29 | 1,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 42 | 67 | 67 | 76 | 83 | 90 | 64 | 79 | 72 | 63 | 58 | 64 | 78 | 75 | 0 | 40 | 76 | 32 | 6,000,000$/1yrs | |||
![]() | 0 | C | 99.00 | 57 | 32 | 99 | 69 | 73 | 78 | 67 | 65 | 78 | 72 | 67 | 59 | 66 | 60 | 60 | 0 | 46 | 76 | 21 | 891,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 59 | 32 | 90 | 67 | 72 | 79 | 88 | 65 | 56 | 68 | 66 | 53 | 65 | 63 | 62 | 0 | 40 | 75 | 23 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 33 | 92 | 62 | 84 | 80 | 85 | 63 | 60 | 67 | 63 | 55 | 63 | 75 | 75 | 0 | 40 | 74 | 30 | 5,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 33 | 92 | 65 | 77 | 82 | 71 | 61 | 59 | 63 | 63 | 72 | 62 | 62 | 62 | 0 | 40 | 74 | 23 | 941,667$/1yrs | |||
![]() | 0 | LW | 100.00 | 91 | 47 | 76 | 55 | 70 | 75 | 83 | 59 | 62 | 59 | 63 | 69 | 61 | 77 | 75 | 0 | 37 | 73 | 31 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 36 | 73 | 55 | 92 | 90 | 90 | 59 | 30 | 61 | 58 | 77 | 58 | 82 | 80 | 0 | 40 | 76 | 34 | 4,750,000$/1yrs | |||
![]() | 35 | D | 100.00 | 76 | 43 | 74 | 55 | 80 | 84 | 88 | 60 | 30 | 63 | 54 | 78 | 57 | 79 | 76 | 0 | 41 | 76 | 32 | 2,700,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 91 | 55 | 89 | 88 | 80 | 59 | 30 | 63 | 57 | 71 | 58 | 76 | 75 | 0 | 40 | 75 | 30 | 5,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 94 | 63 | 71 | 83 | 76 | 57 | 30 | 67 | 59 | 56 | 58 | 66 | 65 | 0 | 40 | 74 | 25 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 35 | 81 | 63 | 75 | 86 | 79 | 59 | 30 | 64 | 58 | 67 | 58 | 60 | 58 | 0 | 36 | 74 | 21 | 918,333$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 34 | 80 | 55 | 86 | 88 | 82 | 57 | 30 | 60 | 54 | 72 | 56 | 72 | 70 | 0 | 40 | 73 | 28 | 3,400,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 93 | 60 | 76 | 76 | 71 | 60 | 76 | 63 | 59 | 68 | 60 | 76 | 76 | 0 | 33 | 73 | 31 | 4,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 36 | 90 | 74 | 81 | 87 | 79 | 73 | 86 | 30 | 30 | 30 | 74 | 85 | 99 | 0 | 31 | 63 | 36 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 32 | 86 | 56 | 72 | 81 | 73 | 55 | 30 | 62 | 59 | 64 | 57 | 72 | 70 | 0 | 33 | 72 | 28 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 39 | 64 | 55 | 71 | 85 | 87 | 55 | 30 | 59 | 55 | 68 | 55 | 76 | 73 | 0 | 37 | 72 | 31 | 5,000,000$/1yrs | |||
TEAM AVERAGE | 99.86 | 68 | 36 | 84 | 64 | 77 | 83 | 82 | 63 | 53 | 64 | 62 | 64 | 63 | 73 | 73 | 0 | 39 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 60 | 63 | 66 | 83 | 61 | 67 | 64 | 76 | 67 | 73 | 64 | 80 | 83 | 0 | 41 | 74 | 33 | 975,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 83 | 64 | 67 | 67 | 85 | 69 | 83 | 82 | 75 | 87 | 83 | 63 | 68 | 0 | 34 | 80 | 23 | 1,200,000$/3yrs |
![]() | 0 | 100.00 | 60 | 61 | 65 | 74 | 57 | 60 | 60 | 60 | 60 | 64 | 60 | 62 | 65 | 0 | 45 | 67 | 23 | 925,000$/1yrs |
TEAM AVERAGE | 98.33 | 68 | 63 | 66 | 75 | 68 | 65 | 69 | 73 | 67 | 75 | 69 | 68 | 72 | 0 | 40 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Steve Ott | 60 | 65 | 68 | 68 | 59 | 55 | 86 | CAN | 43 | 4 | 500,000$ |
General Manager | Félix Fortier |
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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 |
# | 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 | Nick Seeler | 35 | D | 7 | 1 | 4 | 5 | 0 | 13 | 5 | 16 | 5 | 2 | 7 | 20.00% | 11 | 24.96 | 0 | 2 | 2 | 29 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
2 | Macklin Celebrini | 0 | C | 7 | 0 | 5 | 5 | 2 | 0 | 0 | 4 | 25 | 7 | 21 | 0.00% | 2 | 23.62 | 0 | 1 | 1 | 28 | 0 | 0 | 0 | 28 | 0 | 0 | 54.17% | 240 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
3 | Maxim Shabanov | 0 | C/RW | 7 | 3 | 2 | 5 | 2 | 2 | 0 | 2 | 25 | 9 | 17 | 12.00% | 2 | 23.03 | 1 | 1 | 2 | 28 | 0 | 0 | 0 | 26 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.62 | 0 | 1 | |
4 | Alex Killorn | 0 | LW/RW | 7 | 0 | 3 | 3 | -5 | 4 | 0 | 9 | 25 | 10 | 25 | 0.00% | 1 | 19.11 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 13 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
5 | Anders Lee | 0 | LW | 7 | 2 | 1 | 3 | 2 | 6 | 0 | 25 | 15 | 2 | 13 | 13.33% | 0 | 20.82 | 1 | 1 | 2 | 28 | 0 | 0 | 0 | 12 | 1 | 0 | 46.88% | 32 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | |
6 | Bobby McMann | 17 | C | 7 | 1 | 2 | 3 | -5 | 2 | 0 | 13 | 18 | 6 | 17 | 5.56% | 0 | 16.71 | 0 | 2 | 2 | 26 | 0 | 0 | 0 | 0 | 1 | 0 | 37.04% | 162 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
7 | Ben Chiarot | 0 | D | 7 | 1 | 1 | 2 | 0 | 4 | 0 | 20 | 5 | 5 | 3 | 20.00% | 17 | 25.91 | 1 | 0 | 1 | 29 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
8 | Jonas Siegenthaler | 0 | D | 7 | 1 | 1 | 2 | 1 | 2 | 0 | 6 | 2 | 1 | 1 | 50.00% | 7 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
9 | 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 | |
10 | Reilly Smith | 0 | LW/RW | 7 | 1 | 1 | 2 | -5 | 0 | 0 | 0 | 22 | 7 | 19 | 4.55% | 1 | 16.93 | 1 | 1 | 2 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
11 | Ryan Strome | 0 | C/RW | 7 | 0 | 2 | 2 | 1 | 2 | 0 | 6 | 4 | 3 | 11 | 0.00% | 0 | 10.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.87% | 78 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
12 | Andre Burakovsky | 0 | LW/RW | 7 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 12 | 3 | 4 | 0.00% | 2 | 9.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
13 | Rasmus Ristolainen | 0 | D | 7 | 1 | 0 | 1 | -4 | 6 | 0 | 16 | 10 | 1 | 4 | 10.00% | 11 | 20.76 | 1 | 0 | 1 | 26 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
14 | Luke Evangelista | 0 | RW | 7 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 13 | 4 | 3 | 7.69% | 1 | 10.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
15 | Collin Graf | 0 | C/RW | 7 | 1 | 0 | 1 | -1 | 2 | 0 | 2 | 7 | 0 | 1 | 14.29% | 0 | 8.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 36.36% | 77 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
16 | Nathan Walker | 0 | LW | 7 | 0 | 0 | 0 | -1 | 11 | 5 | 6 | 3 | 1 | 1 | 0.00% | 0 | 7.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Adam Boqvist | 0 | D | 7 | 0 | 0 | 0 | -4 | 0 | 0 | 3 | 8 | 1 | 4 | 0.00% | 10 | 20.67 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Simon Nemec | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 15.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
19 | Luca Del Bel Belluz | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 120 | 13 | 25 | 38 | -14 | 66 | 10 | 144 | 202 | 63 | 153 | 6.44% | 70 | 16.82 | 5 | 10 | 15 | 279 | 0 | 0 | 0 | 180 | 3 | 2 | 45.77% | 627 | 0 | 0 | 0 | 0 | 0.38 | 0 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leevi Merilainen | 7 | 3 | 3 | 1 | 0.928 | 2.42 | 397 | 4 | 0 | 16 | 223 | 0 | 0 | 1 | 0.667 | 3 | 7 | 0 | 3 | 0 | 0 | |
2 | Pheonix Copley | 1 | 0 | 0 | 0 | 0.950 | 2.31 | 26 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 0.000 | 0 | 0 | 7 | 0 | 0 | 0 | |
Team Total or Average | 8 | 3 | 3 | 1 | 0.930 | 2.41 | 424 | 4 | 0 | 17 | 243 | 0 | 0 | 1 | 0.667 | 3 | 7 | 7 | 3 | 0 | 0 |
Projected Total Cap Hit | 74,555,280$ |
Projected Cap Space | 20,944,720$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 6,170,480$ |
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 | ||||||
Andre Burakovsky ![]() | LW/RW | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Andreas Athanasiou ![]() | LW/RW | 31 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Ben Chiarot ![]() | D | 34 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Bobby McMann ![]() | C | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Collin Graf ![]() | C/RW | 23 | 941,667$ | 941,667$ | RFA | ||||||
Drew Commesso ![]() | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Jonas Siegenthaler ![]() | D | 28 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Leevi Merilainen ![]() | G | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Logan Couture ![]() | C | 36 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Luca Del Bel Belluz ![]() | C | 21 | 891,667$ | 891,667$ | RFA | ||||||
Luke Evangelista ![]() | RW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
Macklin Celebrini ![]() | C | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Matt Dumba ![]() | D | 31 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Maxim Shabanov ![]() | C/RW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Nathan Walker ![]() | LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Nick Seeler ![]() | D | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||
Oliver Kylington ![]() | D | 28 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Pheonix Copley | G | 33 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Rasmus Ristolainen ![]() | D | 30 | 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 | |||||
Henry Thrun ![]() | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Hunter Skinner ![]() | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
Ilya Solovyov ![]() | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Isaiah George ![]() | D | 21 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
Jackson Parsons ![]() | G | 20 | 829,167$ | 829,167$ | 829,167$ | 829,167$ | RFA | ||||
Jansen Harkins ![]() | C/LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Joey Keane ![]() | D | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Jonathan Gruden ![]() | LW | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Josh Dunne ![]() | C | 26 | 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 | 22 | 863,333$ | 863,333$ | RFA | ||||||
Pavel Cajan ![]() | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Pontus Holmberg ![]() | LW/RW | 26 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |
Tyler Tucker ![]() | D | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Vsevolod Komarov ![]() | D | 21 | 835,000$ | 835,000$ | 835,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 21 | 14 | 26 | 7 | 12 | 5 | 0.0% | 3.2% | 91.4% | 94.7 | DULL | |
2 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 24 | 16 | 27 | 7 | 12 | 6 | 33.3% | 3.1% | 95.0% | 98.1 | DULL | |
3 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 23 | 17 | 23 | 7 | 12 | 5 | 0.0% | 0.0% | 88.6% | 88.6 | Unlucky | |
4 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 21 | 14 | 25 | 7 | 12 | 5 | 100.0% | 11.5% | 97.4% | 108.9 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 32 | 14 | 12 | 6 | 0 | 22 | 9 | 6 | 24 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 23 | 15 | 23 | 8 | 13 | 6 | 50.0% | 9.4% | 90.9% | 100.3 | FUN | |
6 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 13.3% | 96.8% | 110.1 | LUCKY | |
7 | 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 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.0% | 86.0% | 90.0 | Unlucky | |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 63 | 24 | 27 | 12 | 0 | 57 | 20 | 8 | 53 | 10 | 2 | 20.00% | 3 | 2 | 33.33% | 0 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 47 | 32 | 46 | 15 | 25 | 12 | 20.0% | 4.8% | 89.5% | 94.2 | Unlucky | |
_Vs Conference | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 6 | 0 | 1 | 0 | 93 | 37 | 35 | 21 | 0 | 88 | 26 | 24 | 78 | 15 | 3 | 20.00% | 6 | 3 | 50.00% | 0 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 72 | 51 | 69 | 22 | 37 | 18 | 50.0% | 7.5% | 92.0% | 99.6 | DULL | |
_Since Last GM Reset | 7 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 13 | 19 | -6 | 7 | 0.500 | 13 | 25 | 38 | 1 | 0 | 10 | 1 | 2 | 0 | 207 | 74 | 70 | 62 | 4 | 244 | 71 | 70 | 146 | 34 | 5 | 14.71% | 29 | 7 | 75.86% | 0 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 160 | 109 | 176 | 53 | 87 | 42 | 40.0% | 6.3% | 92.2% | 98.5 | DULL | |
Total | 7 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 13 | 19 | -6 | 7 | 0.500 | 13 | 25 | 38 | 1 | 0 | 10 | 1 | 2 | 0 | 207 | 74 | 70 | 62 | 4 | 244 | 71 | 70 | 146 | 34 | 5 | 14.71% | 29 | 7 | 75.86% | 0 | 113 | 260 | 43.46% | 126 | 259 | 48.65% | 48 | 103 | 46.60% | 160 | 109 | 176 | 53 | 87 | 42 | 40.0% | 6.3% | 92.2% | 98.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 260 |
Neutral Zone Start | 103 |
Defensive Zone Start | 259 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 287 |
Faceoffs Lost | 335 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 29.4 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 1.9 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 1 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 34 |
---|---|
PP Goal | 5 |
PK Attempt | 29 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 34.9 |
Goals For | 1.9 |
Goals Against | 2.7 |
Hits | 20.9 |
Shots Blocked | 10.1 |
Pim | 10.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,601,667$ | 0$ | 74,555,280$ | 20,898,333$ |
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 | 17163 | 14457 | 5619 | 11288 | 2945 |
Attendance PCT | 95.35% | 96.38% | 93.65% | 94.07% | 98.17% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17157 - 95.32% | 1,582,354$ | 4,747,061$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,601,667$ | 74,601,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
6,212,147$ | 388,550$ | 6,170,480$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,129,439$ | 176 | 391,155$ | 68,843,280$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
71,716,888$ | 74,601,667$ | 71,182,654$ | 59,595,205$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 | ||||||||
2030 |
Priority | Type | Description |
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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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