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Full Scoreboard »» |
Nashville Predators 28-35-3, 59pts · 13th 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 | LW | 100.00 | 76 | 43 | 75 | 65 | 93 | 83 | 90 | 69 | 60 | 65 | 74 | 63 | 71 | 83 | 95 | 0 | 44 | 80 | 34 | 7,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 33 | 90 | 67 | 84 | 81 | 80 | 69 | 58 | 71 | 68 | 57 | 68 | 74 | 73 | 0 | 48 | 78 | 30 | 5,750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 40 | 71 | 60 | 72 | 75 | 87 | 70 | 46 | 66 | 64 | 74 | 65 | 83 | 80 | 0 | 38 | 77 | 35 | 900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 33 | 86 | 71 | 76 | 78 | 72 | 67 | 56 | 63 | 73 | 55 | 70 | 73 | 71 | 0 | 28 | 77 | 29 | 5,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 35 | 87 | 66 | 76 | 81 | 82 | 65 | 62 | 66 | 68 | 64 | 66 | 75 | 74 | 0 | 30 | 76 | 30 | 4,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 32 | 90 | 62 | 74 | 81 | 90 | 61 | 65 | 64 | 65 | 76 | 63 | 82 | 81 | 0 | 36 | 76 | 34 | 5,000,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 43 | 65 | 67 | 76 | 83 | 90 | 65 | 78 | 70 | 65 | 57 | 65 | 77 | 74 | 0 | 41 | 76 | 31 | 6,000,000$/2yrs | |||
![]() | 17 | C | 99.00 | 79 | 41 | 72 | 66 | 82 | 74 | 75 | 64 | 61 | 61 | 70 | 61 | 67 | 72 | 69 | 0 | 39 | 76 | 28 | 1,750,000$/3yrs | |||
![]() | 0 | RW | 98.00 | 58 | 32 | 91 | 69 | 72 | 80 | 81 | 66 | 58 | 68 | 69 | 55 | 68 | 62 | 61 | 0 | 39 | 76 | 23 | 797,500$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 39 | 83 | 66 | 74 | 69 | 90 | 62 | 62 | 62 | 66 | 62 | 64 | 54 | 53 | 0 | 41 | 73 | 18 | 975,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 92 | 35 | 83 | 55 | 82 | 73 | 84 | 59 | 58 | 62 | 59 | 59 | 59 | 72 | 70 | 0 | 49 | 72 | 28 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 33 | 86 | 56 | 78 | 74 | 79 | 62 | 74 | 63 | 63 | 62 | 63 | 67 | 66 | 0 | 63 | 72 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 34 | 86 | 55 | 89 | 86 | 81 | 61 | 30 | 63 | 56 | 74 | 58 | 75 | 74 | 0 | 41 | 76 | 30 | 5,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 96 | 67 | 71 | 86 | 78 | 60 | 30 | 70 | 59 | 59 | 60 | 65 | 64 | 0 | 81 | 76 | 24 | 2,350,000$/1yrs | |||
![]() | 35 | D | 99.00 | 75 | 47 | 69 | 55 | 80 | 82 | 88 | 60 | 30 | 61 | 55 | 76 | 58 | 77 | 74 | 0 | 49 | 75 | 31 | 2,700,000$/4yrs | |||
![]() | 0 | D | 99.00 | 71 | 34 | 84 | 56 | 86 | 88 | 86 | 58 | 30 | 63 | 55 | 66 | 57 | 70 | 69 | 0 | 42 | 74 | 27 | 3,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 78 | 40 | 63 | 55 | 71 | 90 | 89 | 59 | 30 | 59 | 57 | 75 | 58 | 75 | 81 | 0 | 50 | 74 | 30 | 5,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 63 | 35 | 85 | 57 | 75 | 85 | 78 | 58 | 30 | 63 | 57 | 66 | 57 | 70 | 69 | 0 | 40 | 73 | 27 | 1,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 64 | 32 | 87 | 55 | 72 | 84 | 70 | 56 | 30 | 61 | 61 | 67 | 58 | 70 | 69 | 0 | 16 | 72 | 27 | 3,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 83 | 55 | 82 | 79 | 86 | 56 | 30 | 59 | 56 | 63 | 56 | 79 | 78 | 0 | 18 | 72 | 33 | 2,000,000$/1yrs | |||
TEAM AVERAGE | 99.70 | 68 | 36 | 82 | 61 | 78 | 81 | 83 | 62 | 49 | 64 | 63 | 65 | 63 | 73 | 72 | 0 | 42 | 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 | 82 | 86 | 77 | 79 | 76 | 69 | 79 | 84 | 78 | 82 | 79 | 82 | 86 | 0 | 35 | 84 | 34 | 3,850,000$/1yrs |
![]() | 0 | 99.00 | 75 | 75 | 72 | 73 | 78 | 76 | 75 | 75 | 76 | 77 | 75 | 60 | 61 | 0 | 50 | 78 | 22 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 74 | 75 | 71 | 94 | 56 | 76 | 75 | 74 | 76 | 75 | 75 | 64 | 64 | 0 | 37 | 78 | 24 | 950,000$/1yrs |
TEAM AVERAGE | 99.67 | 77 | 79 | 73 | 82 | 70 | 74 | 76 | 78 | 77 | 78 | 76 | 69 | 70 | 0 | 41 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Steve Ott | 60 | 65 | 68 | 68 | 59 | 55 | 86 | CAN | 42 | 5 | 500,000$ |
General Manager | FĂ©lix 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 | Macklin Celebrini | 0 | C | 66 | 13 | 34 | 47 | -1 | 38 | 0 | 99 | 160 | 46 | 115 | 8.13% | 11 | 18.27 | 6 | 11 | 17 | 199 | 0 | 0 | 0 | 0 | 3 | 0 | 42.01% | 1628 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
2 | Andre Burakovsky | 0 | LW/RW | 66 | 17 | 26 | 43 | -2 | 2 | 0 | 23 | 156 | 53 | 101 | 10.90% | 10 | 17.46 | 7 | 2 | 9 | 185 | 0 | 0 | 0 | 114 | 3 | 0 | 38.71% | 217 | 0 | 0 | 0 | 0 | 0.75 | 1 | 2 | |
3 | Anders Lee | 0 | LW | 66 | 18 | 17 | 35 | -9 | 57 | 5 | 175 | 205 | 62 | 141 | 8.78% | 13 | 19.21 | 2 | 5 | 7 | 210 | 0 | 0 | 0 | 132 | 1 | 0 | 43.48% | 138 | 0 | 0 | 0 | 0 | 0.55 | 0 | 2 | |
4 | Nick Seeler | 35 | D | 66 | 10 | 25 | 35 | -4 | 69 | 5 | 105 | 104 | 40 | 63 | 9.62% | 118 | 20.53 | 3 | 8 | 11 | 209 | 0 | 0 | 0 | 227 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
5 | Rasmus Ristolainen | 0 | D | 58 | 11 | 24 | 35 | 3 | 60 | 0 | 162 | 72 | 31 | 51 | 15.28% | 90 | 20.82 | 6 | 6 | 12 | 103 | 0 | 0 | 0 | 127 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
6 | Luke Evangelista | 0 | RW | 66 | 18 | 17 | 35 | 9 | 25 | 5 | 48 | 129 | 43 | 114 | 13.95% | 5 | 19.95 | 2 | 7 | 9 | 184 | 2 | 1 | 3 | 292 | 3 | 1 | 38.79% | 116 | 0 | 0 | 0 | 1 | 0.53 | 0 | 0 | |
7 | Matt Dumba | 0 | D | 66 | 10 | 22 | 32 | -11 | 82 | 0 | 155 | 93 | 35 | 53 | 10.75% | 113 | 19.49 | 7 | 3 | 10 | 190 | 0 | 1 | 1 | 217 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
8 | Jonas Siegenthaler | 0 | D | 66 | 7 | 23 | 30 | -2 | 81 | 5 | 120 | 63 | 21 | 57 | 11.11% | 87 | 22.23 | 2 | 7 | 9 | 192 | 0 | 1 | 1 | 209 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
9 | Bobby McMann | 17 | C | 66 | 14 | 16 | 30 | 6 | 75 | 5 | 145 | 108 | 27 | 69 | 12.96% | 11 | 14.65 | 1 | 6 | 7 | 145 | 1 | 2 | 3 | 181 | 2 | 0 | 42.25% | 1387 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
10 | Reilly Smith | 0 | LW/RW | 66 | 15 | 11 | 26 | -9 | 8 | 0 | 48 | 107 | 33 | 81 | 14.02% | 14 | 18.36 | 6 | 3 | 9 | 210 | 0 | 0 | 0 | 151 | 4 | 1 | 39.73% | 219 | 0 | 0 | 1 | 0 | 0.43 | 1 | 5 | |
11 | Ryan Strome | 0 | C/RW | 66 | 5 | 18 | 23 | -8 | 13 | 5 | 24 | 102 | 31 | 58 | 4.90% | 3 | 10.53 | 3 | 6 | 9 | 134 | 0 | 0 | 0 | 19 | 1 | 0 | 51.41% | 566 | 0 | 0 | 0 | 0 | 0.66 | 0 | 2 | |
12 | Jakub Vrana | 0 | LW/RW | 57 | 11 | 10 | 21 | -4 | 18 | 0 | 46 | 94 | 32 | 63 | 11.70% | 5 | 14.87 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 27 | 1 | 0 | 39.02% | 82 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
13 | Andreas Athanasiou | 0 | LW/RW | 65 | 5 | 15 | 20 | 1 | 8 | 0 | 18 | 90 | 24 | 53 | 5.56% | 5 | 10.09 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 23 | 1 | 0 | 44.23% | 52 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
14 | Adam Boqvist | 0 | D | 67 | 4 | 14 | 18 | 15 | 20 | 0 | 34 | 28 | 10 | 28 | 14.29% | 41 | 15.99 | 1 | 3 | 4 | 108 | 0 | 0 | 0 | 7 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
15 | Ethan Bear | 0 | D | 66 | 1 | 16 | 17 | -2 | 44 | 0 | 83 | 55 | 16 | 29 | 1.82% | 95 | 18.48 | 0 | 5 | 5 | 102 | 0 | 1 | 1 | 100 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
16 | Chris Terry | 0 | LW/RW | 52 | 8 | 9 | 17 | 6 | 25 | 5 | 35 | 81 | 18 | 58 | 9.88% | 9 | 9.70 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 1 | 35.94% | 128 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
17 | Sammy Blais | 0 | LW/RW | 66 | 5 | 4 | 9 | -11 | 38 | 0 | 86 | 53 | 14 | 33 | 9.43% | 1 | 8.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
18 | Jon Merrill | 0 | D | 8 | 0 | 4 | 4 | -2 | 4 | 0 | 8 | 0 | 1 | 3 | 0.00% | 5 | 15.14 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
19 | Pontus Holmberg | 0 | LW/RW | 18 | 1 | 2 | 3 | 1 | 2 | 0 | 11 | 29 | 8 | 32 | 3.45% | 2 | 12.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
20 | Oliver Kylington | 0 | D | 8 | 0 | 2 | 2 | -1 | 6 | 0 | 11 | 6 | 1 | 4 | 0.00% | 12 | 23.62 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
Team Total or Average | 1125 | 173 | 309 | 482 | -25 | 675 | 35 | 1436 | 1735 | 546 | 1206 | 9.97% | 650 | 16.45 | 46 | 74 | 120 | 2210 | 3 | 6 | 9 | 1868 | 26 | 9 | 42.77% | 4578 | 0 | 0 | 1 | 1 | 0.52 | 2 | 11 |
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 | Jake Allen | 41 | 14 | 20 | 1 | 0.910 | 3.22 | 2145 | 4 | 2 | 115 | 1273 | 0 | 0 | 0 | 1.000 | 3 | 35 | 29 | 4 | 2 | 0 | |
2 | Nikita Tolopilo | 14 | 5 | 6 | 2 | 0.915 | 3.05 | 788 | 0 | 0 | 40 | 470 | 0 | 0 | 1 | 0.500 | 2 | 13 | 16 | 3 | 0 | 0 | |
3 | Drew Commesso | 3 | 2 | 1 | 0 | 0.882 | 3.23 | 167 | 0 | 0 | 9 | 76 | 0 | 0 | 0 | 0.000 | 0 | 3 | 3 | 0 | 1 | 0 | |
Team Total or Average | 58 | 21 | 27 | 3 | 0.910 | 3.17 | 3100 | 4 | 2 | 164 | 1819 | 0 | 0 | 1 | 0.800 | 5 | 51 | 48 | 7 | 3 | 0 |
Projected Total Cap Hit | 69,631,690$ |
Projected Cap Space | 18,368,310$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 57,991,274$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 24 | 2,350,000$ | 2,350,000$ | RFA | ||||||
Anders Lee ![]() | LW | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Andre Burakovsky ![]() | LW/RW | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Andreas Athanasiou ![]() | LW/RW | 30 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||||
Bobby McMann ![]() | C | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Chris Terry ![]() | LW/RW | 35 | 900,000$ | 900,000$ | UFA | ||||||
Drew Commesso ![]() | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ethan Bear ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Jake Allen | G | 34 | 3,850,000$ | 3,850,000$ | UFA | ||||||
Jakub Vrana ![]() | LW/RW | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||||
Jon Merrill ![]() | D | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jonas Siegenthaler ![]() | D | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||
Luke Evangelista ![]() | RW | 23 | 797,500$ | 797,500$ | RFA | ||||||
Macklin Celebrini ![]() | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Matt Dumba ![]() | D | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Nick Seeler ![]() | D | 31 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||
Nikita Tolopilo ![]() | G | 24 | 950,000$ | 950,000$ | |||||||
Oliver Kylington ![]() | D | 27 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Pontus Holmberg ![]() | LW/RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Rasmus Ristolainen ![]() | D | 30 | 5,100,000$ | 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$ | 5,000,000$ | UFA | |||
Ryan Strome ![]() | C/RW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Sammy Blais ![]() | LW/RW | 28 | 1,000,000$ | 1,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer ![]() | LW/RW | 28 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Anton Blidh ![]() | LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Artur Akhtyamov ![]() | G | 23 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Ben Hemmerling ![]() | RW | 20 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Carl Berglund ![]() | C/RW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Carter Mazur ![]() | LW | 23 | 905,833$ | 905,833$ | 905,833$ | RFA | |||||
Cole Clayton ![]() | D | 25 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Cole Schwindt ![]() | C/RW | 23 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Collin Graf ![]() | C/RW | 22 | 941,667$ | 941,667$ | 941,667$ | RFA | |||||
Connor Punnett ![]() | D | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Eduards Tralmaks ![]() | C/LW/RW | 28 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Henry Thrun ![]() | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Hunter Skinner ![]() | D | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ilya Solovyov ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jansen Harkins ![]() | C/LW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Joe Carroll ![]() | LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Joey Keane ![]() | D | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Jonathan Gruden ![]() | LW | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Josh Dunne ![]() | C | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Justin Ducharme ![]() | LW/RW | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Leevi Merilainen ![]() | G | 22 | 820,000$ | 820,000$ | RFA | ||||||
Luca Del Bel Belluz ![]() | C | 21 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
Lukas Parik ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Mackie Samoskevich ![]() | C/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Mathias Emilio Pettersen ![]() | C/LW | 24 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Matt Irwin ![]() | D | 37 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Phillips ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Max Willman ![]() | C | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nikita Alexandrov ![]() | C | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Oskar Olausson ![]() | LW/RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Parker Ford ![]() | C/RW | 24 | 867,500$ | 867,500$ | RFA | ||||||
Pavel Cajan ![]() | G | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Samuel Harvey ![]() | G | 27 | 0$ | ![]() | |||||||
Tyler Tucker ![]() | D | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Zach Metsa ![]() | D | 26 | 775,000$ | 775,000$ | ![]() |
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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 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 68 | 24 | 20 | 24 | 0 | 141 | 36 | 44 | 66 | 5 | 0 | 0.00% | 18 | 5 | 72.22% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 59 | 38 | 83 | 23 | 37 | 16 | 36.4% | 5.9% | 91.5% | 97.4 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 7 | 7 | 11 | 0 | 31 | 15 | 6 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 21 | 15 | 26 | 7 | 12 | 6 | 66.7% | 8.0% | 90.3% | 98.3 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 4 | 1 | 2 | 0 | 58 | 20 | 23 | 15 | 0 | 62 | 17 | 14 | 54 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 43 | 29 | 50 | 15 | 26 | 12 | 71.4% | 12.1% | 95.2% | 107.2 | LUCKY | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 67 | 23 | 19 | 25 | 0 | 59 | 19 | 16 | 38 | 8 | 2 | 25.00% | 8 | 3 | 62.50% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 47 | 32 | 47 | 14 | 24 | 11 | 33.3% | 6.0% | 88.1% | 94.1 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 25 | 13 | 5 | 7 | 0 | 33 | 13 | 8 | 27 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 17 | 10 | 29 | 7 | 12 | 6 | 57.1% | 16.0% | 90.9% | 106.9 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 9 | 8 | 13 | 0 | 41 | 7 | 8 | 29 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 22 | 14 | 25 | 7 | 12 | 5 | 20.0% | 3.3% | 85.4% | 88.7 | Unlucky | |
7 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 6 | 8 | 8 | 1.000 | 14 | 27 | 41 | 0 | 1 | 7 | 4 | 2 | 1 | 137 | 49 | 36 | 51 | 1 | 114 | 23 | 30 | 78 | 18 | 5 | 27.78% | 14 | 0 | 100.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 96 | 68 | 95 | 29 | 49 | 23 | 60.0% | 10.2% | 94.7% | 105.0 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 59 | 15 | 15 | 26 | 6 | 62 | 23 | 18 | 40 | 11 | 3 | 27.27% | 9 | 2 | 77.78% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 46 | 30 | 53 | 16 | 25 | 12 | 60.0% | 10.2% | 93.5% | 103.7 | LUCKY | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 9 | 10 | 13 | 0 | 95 | 17 | 35 | 43 | 6 | 1 | 16.67% | 12 | 6 | 50.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 36 | 21 | 57 | 16 | 26 | 11 | 11.1% | 6.3% | 85.3% | 91.5 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 4 | 1 | 0 | 0 | 28 | 15 | 4 | 9 | 0 | 13 | 1 | 14 | 17 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 25 | 16 | 21 | 8 | 13 | 7 | 100.0% | 17.9% | 92.3% | 110.2 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 47 | 21 | 22 | 4 | 0 | 66 | 25 | 25 | 53 | 6 | 2 | 33.33% | 10 | 1 | 90.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 45 | 30 | 50 | 14 | 24 | 12 | 44.4% | 12.8% | 90.9% | 103.7 | FUN | |
12 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 15 | -10 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 63 | 24 | 17 | 22 | 0 | 127 | 40 | 32 | 65 | 8 | 1 | 12.50% | 15 | 7 | 53.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 58 | 38 | 83 | 22 | 37 | 18 | 33.3% | 7.9% | 88.2% | 96.1 | Unlucky | |
13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 3 | 4 | 4 | 0 | 101 | 24 | 30 | 47 | 0 | 92 | 34 | 26 | 74 | 14 | 2 | 14.29% | 12 | 3 | 75.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 71 | 49 | 70 | 22 | 38 | 19 | 56.3% | 10.9% | 89.1% | 100.0 | FUN | |
14 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 1 | 1 | 99 | 35 | 24 | 39 | 1 | 86 | 35 | 18 | 91 | 10 | 2 | 20.00% | 8 | 1 | 87.50% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 64 | 43 | 78 | 22 | 36 | 17 | 42.9% | 8.1% | 89.5% | 97.6 | Unlucky | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 2 | 1 | 55 | 12 | 19 | 18 | 9 | 88 | 26 | 28 | 53 | 4 | 1 | 25.00% | 12 | 2 | 83.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 43 | 27 | 55 | 15 | 26 | 12 | 57.1% | 9.1% | 94.3% | 103.4 | LUCKY | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 80 | 22 | 21 | 37 | 0 | 101 | 22 | 28 | 69 | 15 | 2 | 13.33% | 13 | 2 | 84.62% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 62 | 39 | 79 | 24 | 37 | 17 | 45.5% | 8.8% | 92.1% | 100.8 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 8 | 8 | 8 | 0 | 39 | 18 | 6 | 25 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 18 | 11 | 27 | 7 | 13 | 6 | 20.0% | 8.3% | 89.7% | 98.1 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 23 | 5 | 8 | 10 | 0 | 29 | 7 | 20 | 25 | 2 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 20 | 13 | 26 | 7 | 12 | 5 | 66.7% | 17.4% | 93.1% | 110.5 | LUCKY | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 2 | 0 | 1 | 0 | 48 | 20 | 13 | 15 | 0 | 79 | 23 | 26 | 55 | 5 | 0 | 0.00% | 13 | 3 | 76.92% | 1 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 37 | 23 | 56 | 16 | 25 | 11 | 42.9% | 6.3% | 91.1% | 97.4 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 49 | 15 | 19 | 15 | 0 | 83 | 24 | 25 | 51 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 38 | 24 | 55 | 15 | 25 | 12 | 58.3% | 14.3% | 91.6% | 105.9 | LUCKY | |
21 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 13 | 13 | 0 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 7 | 2 | 3 | 1 | 124 | 47 | 38 | 38 | 1 | 172 | 44 | 40 | 76 | 16 | 2 | 12.50% | 19 | 5 | 73.68% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 87 | 56 | 103 | 30 | 52 | 26 | 57.9% | 10.5% | 92.4% | 102.9 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 1 | 0 | 1 | 1 | 3 | 0 | 54 | 21 | 14 | 19 | 0 | 75 | 24 | 24 | 35 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 44 | 29 | 51 | 14 | 24 | 11 | 50.0% | 9.3% | 92.0% | 101.3 | LUCKY | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 3 | 11 | 3 | 0 | 52 | 21 | 16 | 22 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 18 | 11 | 29 | 7 | 11 | 4 | 0.0% | 5.9% | 88.5% | 94.3 | Unlucky | |
24 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 2 | 0.250 | 13 | 25 | 38 | 0 | 0 | 4 | 2 | 7 | 0 | 112 | 40 | 30 | 42 | 0 | 151 | 30 | 49 | 89 | 11 | 4 | 36.36% | 21 | 7 | 66.67% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 86 | 58 | 103 | 29 | 50 | 24 | 52.9% | 11.6% | 90.1% | 101.7 | FUN | |
25 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 14 | 21 | 0 | 0 | 1 | 4 | 2 | 0 | 62 | 17 | 21 | 23 | 1 | 72 | 26 | 14 | 38 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 45 | 31 | 49 | 13 | 27 | 12 | 43.8% | 11.3% | 86.1% | 97.4 | FUN | |
26 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 64 | 22 | 23 | 19 | 0 | 62 | 16 | 19 | 50 | 14 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 46 | 30 | 48 | 16 | 25 | 12 | 41.7% | 7.8% | 87.1% | 94.9 | Unlucky | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 8 | 9 | 4 | 0 | 31 | 14 | 10 | 28 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 16 | 10 | 31 | 7 | 11 | 4 | 33.3% | 9.5% | 90.3% | 99.8 | FUN | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 48 | 15 | 15 | 18 | 0 | 71 | 25 | 17 | 47 | 0 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 37 | 24 | 56 | 14 | 26 | 11 | 40.0% | 8.3% | 87.3% | 95.7 | Unlucky | |
29 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 4 | 3 | 0 | 84 | 29 | 26 | 29 | 0 | 107 | 29 | 41 | 68 | 17 | 3 | 17.65% | 12 | 1 | 91.67% | 1 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 64 | 41 | 77 | 22 | 37 | 18 | 54.5% | 10.7% | 94.4% | 105.1 | LUCKY | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 26 | 8 | 8 | 10 | 0 | 43 | 13 | 14 | 23 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 20 | 12 | 27 | 8 | 12 | 6 | 66.7% | 11.5% | 95.3% | 106.9 | LUCKY | |
31 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 17 | 26 | 0 | 1 | 2 | 3 | 4 | 0 | 89 | 37 | 20 | 32 | 0 | 110 | 33 | 41 | 63 | 14 | 4 | 28.57% | 12 | 2 | 83.33% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 71 | 48 | 72 | 20 | 36 | 18 | 55.6% | 10.1% | 94.5% | 104.7 | LUCKY | |
_Vs Division | 19 | 6 | 10 | 0 | 2 | 1 | 0 | 0 | 56 | 63 | -7 | 17 | 0.447 | 56 | 103 | 159 | 0 | 1 | 23 | 12 | 19 | 2 | 547 | 195 | 160 | 190 | 2 | 694 | 178 | 196 | 408 | 73 | 13 | 17.81% | 88 | 20 | 77.27% | 0 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 414 | 276 | 488 | 143 | 241 | 117 | 50.0% | 10.2% | 90.9% | 101.2 | FUN | |
_Vs Conference | 40 | 15 | 20 | 0 | 3 | 2 | 0 | 0 | 114 | 126 | -12 | 38 | 0.475 | 114 | 210 | 324 | 0 | 2 | 39 | 33 | 39 | 3 | 1156 | 391 | 330 | 431 | 4 | 1446 | 406 | 422 | 900 | 154 | 27 | 17.53% | 176 | 36 | 79.55% | 1 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 872 | 581 | 1029 | 301 | 505 | 243 | 49.2% | 9.9% | 91.3% | 101.1 | LUCKY | |
_Since Last GM Reset | 66 | 24 | 35 | 0 | 3 | 2 | 1 | 1 | 178 | 216 | -38 | 59 | 0.447 | 178 | 325 | 503 | 1 | 3 | 63 | 51 | 60 | 4 | 1819 | 617 | 543 | 646 | 19 | 2387 | 700 | 712 | 1513 | 237 | 42 | 17.72% | 297 | 69 | 76.77% | 3 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 1414 | 937 | 1728 | 501 | 834 | 398 | 48.1% | 9.8% | 91.0% | 100.7 | FUN | |
Total | 66 | 24 | 35 | 0 | 3 | 2 | 1 | 1 | 178 | 216 | -38 | 59 | 0.447 | 178 | 325 | 503 | 1 | 3 | 63 | 51 | 60 | 4 | 1819 | 617 | 543 | 646 | 19 | 2387 | 700 | 712 | 1513 | 237 | 42 | 17.72% | 297 | 69 | 76.77% | 3 | 967 | 2165 | 44.67% | 1088 | 2521 | 43.16% | 491 | 1071 | 45.85% | 1414 | 937 | 1728 | 501 | 834 | 398 | 48.1% | 9.8% | 91.0% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 2165 |
Neutral Zone Start | 1071 |
Defensive Zone Start | 2521 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 2546 |
Faceoffs Lost | 3211 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 27.4 | 30.68 |
Overtime | 27.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 132 |
---|---|
PP Goal | 42 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 16 |
Lost | 20 | 15 |
Overtime Lost | 0 | 3 |
PP Attempt | 237 |
---|---|
PP Goal | 42 |
PK Attempt | 297 |
PK Goal Against | 69 |
Home | |
---|---|
Shots For | 27.6 |
Shots Against | 36.2 |
Goals For | 2.7 |
Goals Against | 3.3 |
Hits | 22.9 |
Shots Blocked | 10.6 |
Pim | 10.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Stars5,Predators3 | RECAP | |||||||||||
2024-10-14 | @ | Predators1,Red Wings8 | RECAP | |||||||||||
2024-10-17 | @ | Kraken4,Predators3 | RECAP | |||||||||||
2024-10-19 | @ | Oilers2,Predators1 | RECAP | |||||||||||
2024-10-21 | @ | Red Wings6,Predators1 | RECAP | |||||||||||
2024-10-24 | @ | Bruins7,Predators2 | RECAP | |||||||||||
2024-10-27 | @ | Predators4,Blackhawks2 | RECAP | |||||||||||
2024-10-28 | @ | Blue Jackets6,Predators1 | RECAP | |||||||||||
2024-10-30 | @ | Predators2,Lightning3 | RECAP | |||||||||||
2024-11-02 | @ | Oilers4,Predators1 | RECAP | |||||||||||
2024-11-04 | @ | Avalanche2,Predators3 (OT) | RECAP | |||||||||||
2024-11-06 | @ | Kings4,Predators1 | RECAP | |||||||||||
2024-11-08 | @ | Predators4,Capitals2 | RECAP | |||||||||||
2024-11-09 | @ | Predators2,Panthers1 | RECAP | |||||||||||
2024-11-11 | @ | Hockey Club2,Predators4 | RECAP | |||||||||||
2024-11-13 | @ | Predators4,Avalanche0 | RECAP | |||||||||||
2024-11-16 | @ | Predators5,Oilers2 | RECAP | |||||||||||
2024-11-17 | @ | Predators1,Flames3 | RECAP | |||||||||||
2024-11-19 | @ | Predators4,Canucks3 | RECAP | |||||||||||
2024-11-22 | @ | Predators3,Kraken2 | RECAP | |||||||||||
2024-11-25 | @ | Jets6,Predators3 | RECAP | |||||||||||
2024-11-27 | @ | Predators4,Devils2 | RECAP | |||||||||||
2024-11-29 | @ | Flyers3,Predators2 | RECAP | |||||||||||
2024-12-01 | @ | Lightning2,Predators3 (SO) | RECAP | |||||||||||
2024-12-02 | @ | Predators0,Wild6 | RECAP | |||||||||||
2024-12-06 | @ | Predators2,Maple Leafs3 | RECAP | |||||||||||
2024-12-07 | @ | Predators5,Canadiens1 | RECAP | |||||||||||
2024-12-09 | @ | Predators2,Senators3 | RECAP | |||||||||||
2024-12-12 | @ | Flames4,Predators2 | RECAP | |||||||||||
2024-12-14 | @ | Predators2,Stars3 (OT) | RECAP | |||||||||||
2024-12-16 | @ | Predators2,Avalanche1 | RECAP | |||||||||||
2024-12-19 | @ | Rangers1,Predators4 | RECAP | |||||||||||
2024-12-21 | @ | Penguins4,Predators3 | RECAP | |||||||||||
2024-12-23 | @ | Kings2,Predators3 (OT) | RECAP | |||||||||||
2024-12-25 | @ | Hurricanes6,Predators1 | RECAP | |||||||||||
2024-12-29 | @ | Predators2,Blues4 | RECAP | |||||||||||
2025-01-01 | @ | Predators3,Jets4 | RECAP | |||||||||||
2025-01-02 | @ | Predators3,Wild5 | RECAP | |||||||||||
2025-01-05 | @ | Predators3,Canucks2 | RECAP | |||||||||||
2025-01-06 | @ | Predators1,Flames5 | RECAP | |||||||||||
2025-01-09 | @ | Predators2,Jets3 | RECAP | |||||||||||
2025-01-13 | @ | Capitals4,Predators2 | RECAP | |||||||||||
2025-01-16 | @ | Golden Knights2,Predators3 | RECAP | |||||||||||
2025-01-18 | @ | Blackhawks3,Predators2 | RECAP | |||||||||||
2025-01-20 | @ | Wild4,Predators2 | RECAP | |||||||||||
2025-01-23 | @ | Sharks3,Predators5 | RECAP | |||||||||||
2025-01-25 | @ | Predators1,Sharks2 | RECAP | |||||||||||
2025-01-27 | @ | Predators4,Ducks5 (OT) | RECAP | |||||||||||
2025-01-31 | @ | Canucks5,Predators4 | RECAP | |||||||||||
2025-02-02 | @ | Predators3,Sabres4 | RECAP | |||||||||||
2025-02-03 | @ | Predators1,Penguins5 | RECAP | |||||||||||
2025-02-05 | @ | Senators4,Predators2 | RECAP | |||||||||||
2025-02-09 | @ | Predators5,Blackhawks4 (OT) | RECAP | |||||||||||
2025-02-10 | @ | Sabres3,Predators4 | RECAP | |||||||||||
2025-02-24 | @ | Avalanche3,Predators5 | RECAP | |||||||||||
2025-02-25 | @ | Devils1,Predators3 | RECAP | |||||||||||
2025-02-27 | @ | Panthers5,Predators3 | RECAP | |||||||||||
2025-03-01 | @ | Jets2,Predators5 | RECAP | |||||||||||
2025-03-03 | @ | Predators4,Islanders3 | RECAP | |||||||||||
2025-03-04 | @ | Predators2,Rangers3 (SO) | RECAP | |||||||||||
2025-03-06 | @ | Predators1,Bruins0 | RECAP | |||||||||||
2025-03-08 | @ | Kraken0,Predators3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Blackhawks4,Predators2 | RECAP | |||||||||||
2025-03-13 | @ | Predators3,Sharks1 | RECAP | |||||||||||
2025-03-16 | @ | Predators3,Ducks5 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,297,500$ | 0$ | 69,631,690$ | 16,702,500$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 177827 | 154464 | 60352 | 118763 | 30045 |
Attendance PCT | 92.62% | 96.54% | 94.30% | 92.78% | 93.89% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 16920 - 94.00% | 1,549,476$ | 49,583,219$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,297,500$ | 71,297,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
58,572,902$ | 363,763$ | 57,991,274$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,945,280$ | 32 | 366,314$ | 11,722,048$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,070,240$ | 71,297,500$ | 71,089,947$ | 72,964,987$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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2025 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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A.J. Spellacy | 2024 | 72 | |||
Aleksi Heimosalmi | 2021 | 61 | |||
Artem Barabosha | 2022 | 168 | |||
Artem Shlaine | 2020 | 202 | |||
Aydar Suniev | 2023 | 82 | |||
Cameron Allen | 2023 | 113 | |||
Carson Rehkopf | 2023 | 35 | |||
Cole Hutson | 2024 | 31 | |||
Cruz Lucius | 2022 | 109 | |||
Denver Barkey | 2023 | 84 | |||
Dominik Badinka | 2024 | 33 | |||
Elias Salomonsson | 2022 | 45 | |||
Eric Engstrand | |||||
Eriks Mateiko | 2024 | 90 | |||
Ethan Miedema | 2023 | 112 | |||
Felix Unger Sorum | 2023 | 78 | |||
Harrison Brunicke | 2024 | 51 | |||
Henry Mews | 2024 | 38 | |||
Hunter Laing | 2024 | 150 | |||
Igor Chernyshov | 2024 | 22 | |||
Isaiah George | 2022 | 102 | |||
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 | |||
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 | |||
Mikhail Gulyayev | 2023 | 23 | |||
Nicholas Porco | 2019 | 158 | |||
Nick Lardis | 2023 | 44 | |||
Nikita Quapp | 2021 | 193 | |||
Noah Dower Nilsson | 2023 | 60 | |||
Ollie Josephson | 2024 | 55 | |||
Quinton Burns | 2023 | 93 | |||
Riley Patterson | 2024 | 107 | |||
Ryan St Louis | 2021 | 219 | |||
Tanner Molendyk | 2023 | 38 | |||
Theo Lindstein | 2023 | 53 | |||
Thomas Desruisseaux | 2024 | 221 | |||
Ty Gallagher | 2021 | 158 | |||
Viggo Gustafsson | 2024 | 106 | |||
Vilmer Alriksson | 2023 | 129 | |||
Vsevolod Komarov | 2022 | 133 | |||
Xavier Daigle | 2023 | 220 | |||
Yegor Surin | 2024 | 37 | |||
Yegor Yegorov | 2023 | 182 |
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