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Nashville Predators Team Overall:69 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 1" | 206 | 34 | 77 | 64 | 88 | 74 | 82 | 81 | 92 | 74 | 76 | 82 | 76 | 75 | 64 | 85 | 80 | 0 | 40 | 80 | 100.00 | 8,000,000$/2yrs | |
0 | ![]() | C | 6' 3" | 223 | 31 | 72 | 40 | 83 | 76 | 88 | 76 | 92 | 67 | 81 | 79 | 71 | 78 | 73 | 80 | 60 | 0 | 40 | 77 | 100.00 | 3,200,000$/1yrs | |
0 | ![]() | RW | 5' 7" | 174 | 22 | 66 | 40 | 95 | 80 | 74 | 79 | 73 | 72 | 51 | 73 | 88 | 63 | 82 | 58 | 58 | 0 | 40 | 77 | 100.00 | 1,308,333$/2yrs | |
0 | ![]() | C | 6' 2" | 201 | 35 | 66 | 65 | 78 | 72 | 78 | 78 | 76 | 68 | 95 | 78 | 70 | 67 | 76 | 89 | 98 | 0 | 40 | 75 | 100.00 | 10,500,000$/1yrs | |
0 | ![]() | C | 6' 1" | 190 | 28 | 76 | 40 | 79 | 70 | 74 | 79 | 90 | 67 | 74 | 77 | 69 | 75 | 54 | 71 | 65 | 0 | 40 | 75 | 100.00 | 2,300,000$/1yrs | |
0 | ![]() | C/LW | 5' 10" | 195 | 28 | 72 | 40 | 87 | 75 | 81 | 76 | 85 | 66 | 57 | 77 | 68 | 76 | 77 | 63 | 58 | 0 | 40 | 75 | 100.00 | 775,000$/1yrs | |
0 | ![]() | C | 6' 1" | 193 | 27 | 66 | 40 | 91 | 74 | 75 | 76 | 81 | 65 | 81 | 76 | 66 | 72 | 61 | 68 | 59 | 0 | 40 | 73 | 100.00 | 4,450,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 175 | 28 | 77 | 40 | 88 | 73 | 67 | 73 | 92 | 67 | 57 | 76 | 70 | 67 | 57 | 69 | 65 | 0 | 40 | 73 | 100.00 | 2,500,000$/2yrs | |
0 | ![]() | LW | 6' 0" | 194 | 32 | 76 | 40 | 90 | 68 | 77 | 72 | 81 | 64 | 52 | 78 | 65 | 69 | 56 | 76 | 68 | 0 | 40 | 72 | 100.00 | 5,300,000$/1yrs | |
0 | ![]() | C | 6' 3" | 225 | 29 | 72 | 64 | 81 | 68 | 89 | 68 | 93 | 60 | 83 | 71 | 65 | 82 | 54 | 73 | 59 | 0 | 40 | 72 | 100.00 | 2,200,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 200 | 33 | 68 | 40 | 93 | 61 | 79 | 71 | 84 | 63 | 62 | 76 | 64 | 66 | 58 | 89 | 70 | 0 | 40 | 71 | 100.00 | 5,000,000$/2yrs | |
0 | ![]() | RW | 6' 2" | 216 | 33 | 64 | 40 | 94 | 72 | 86 | 73 | 69 | 60 | 52 | 83 | 57 | 61 | 58 | 89 | 66 | 0 | 40 | 70 | 100.00 | 8,250,000$/2yrs | |
0 | ![]() | LW | 6' 2" | 192 | 29 | 73 | 65 | 87 | 61 | 73 | 63 | 68 | 61 | 53 | 74 | 61 | 74 | 58 | 63 | 59 | 0 | 40 | 69 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | C | 6' 0" | 200 | 31 | 82 | 82 | 78 | 57 | 79 | 60 | 75 | 57 | 74 | 68 | 60 | 69 | 54 | 60 | 58 | 0 | 40 | 66 | 100.00 | 700,000$/1yrs | |
0 | ![]() | RW | 6' 6" | 232 | 28 | 69 | 66 | 76 | 58 | 84 | 59 | 64 | 55 | 81 | 64 | 57 | 71 | 55 | 61 | 58 | 0 | 40 | 65 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C/LW | 6' 5" | 227 | 24 | 55 | 58 | 65 | 61 | 74 | 68 | 66 | 62 | 55 | 59 | 63 | 60 | 54 | 61 | 56 | 0 | 40 | 64 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 5' 10" | 183 | 29 | 55 | 58 | 67 | 60 | 59 | 61 | 60 | 61 | 70 | 60 | 58 | 63 | 60 | 68 | 60 | 0 | 40 | 62 | 100.00 | 725,000$/1yrs | |
0 | ![]() | RW | 6' 2" | 201 | 27 | 55 | 58 | 66 | 59 | 66 | 68 | 65 | 59 | 55 | 58 | 57 | 63 | 54 | 64 | 58 | 0 | 40 | 62 | 100.00 | 762,500$/1yrs | |
0 | ![]() | C | 5' 10" | 181 | 29 | 54 | 58 | 67 | 61 | 59 | 67 | 64 | 62 | 70 | 60 | 60 | 56 | 62 | 68 | 60 | 0 | 40 | 62 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C/LW | 6' 3" | 190 | 26 | 55 | 58 | 67 | 58 | 64 | 63 | 62 | 59 | 55 | 57 | 60 | 62 | 57 | 64 | 58 | 0 | 40 | 62 | 100.00 | 700,000$/1yrs | |
0 | ![]() | RW | 6' 5" | 209 | 27 | 56 | 55 | 62 | 58 | 70 | 66 | 65 | 58 | 55 | 56 | 59 | 57 | 54 | 64 | 58 | 0 | 40 | 61 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C/LW | 5' 8" | 170 | 22 | 55 | 55 | 65 | 60 | 55 | 68 | 66 | 59 | 55 | 57 | 59 | 57 | 54 | 57 | 54 | 0 | 40 | 61 | 100.00 | 791,667$/1yrs | |
0 | ![]() | C | 5' 10" | 166 | 22 | 55 | 55 | 66 | 59 | 57 | 67 | 64 | 58 | 69 | 56 | 58 | 58 | 54 | 57 | 54 | 0 | 40 | 60 | 100.00 | 700,000$/2yrs | |
0 | ![]() | C | 6' 1" | 198 | 25 | 55 | 54 | 65 | 55 | 65 | 62 | 61 | 55 | 70 | 55 | 55 | 59 | 54 | 61 | 56 | 0 | 40 | 59 | 100.00 | 822,222$/1yrs | |
0 | ![]() | C | 5' 11" | 194 | 20 | 55 | 55 | 67 | 56 | 62 | 63 | 61 | 56 | 70 | 55 | 55 | 61 | 54 | 54 | 52 | 0 | 40 | 59 | 100.00 | 925,000$/2yrs | |
0 | ![]() | C | 6' 0" | 183 | 23 | 54 | 54 | 68 | 55 | 61 | 56 | 55 | 54 | 70 | 54 | 54 | 59 | 54 | 57 | 54 | 0 | 40 | 57 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 3" | 211 | 30 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 4,333,333$/1yrs | |
0 | ![]() | D | 6' 0" | 194 | 29 | 69 | 64 | 75 | 73 | 77 | 93 | 92 | 76 | 40 | 86 | 68 | 79 | 61 | 69 | 59 | 0 | 40 | 79 | 100.00 | 3,387,500$/1yrs | |
0 | ![]() | D | 6' 1" | 201 | 26 | 67 | 40 | 85 | 84 | 80 | 91 | 94 | 62 | 40 | 75 | 61 | 84 | 54 | 72 | 67 | 0 | 40 | 76 | 100.00 | 6,750,000$/1yrs | |
0 | ![]() | D | 6' 0" | 205 | 32 | 63 | 40 | 86 | 83 | 83 | 86 | 89 | 61 | 40 | 76 | 59 | 85 | 58 | 85 | 61 | 0 | 40 | 76 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | D | 5' 11" | 180 | 30 | 67 | 40 | 85 | 78 | 71 | 85 | 89 | 67 | 40 | 78 | 66 | 81 | 56 | 72 | 59 | 0 | 40 | 76 | 100.00 | 4,500,000$/2yrs | |
0 | ![]() | D | 6' 4" | 208 | 31 | 78 | 65 | 84 | 81 | 79 | 78 | 84 | 59 | 40 | 71 | 62 | 89 | 54 | 69 | 59 | 0 | 40 | 75 | 100.00 | 2,525,000$/1yrs | |
0 | ![]() | D | 6' 1" | 192 | 24 | 72 | 40 | 81 | 85 | 75 | 78 | 82 | 60 | 40 | 72 | 62 | 84 | 54 | 59 | 58 | 0 | 40 | 74 | 100.00 | 1,263,333$/2yrs | |
0 | ![]() | D | 6' 2" | 200 | 27 | 78 | 65 | 75 | 69 | 78 | 84 | 85 | 59 | 40 | 71 | 60 | 90 | 54 | 60 | 58 | 0 | 40 | 74 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | D | 6' 5" | 221 | 29 | 73 | 65 | 80 | 65 | 84 | 82 | 77 | 59 | 40 | 73 | 59 | 85 | 54 | 70 | 65 | 0 | 40 | 73 | 100.00 | 3,100,000$/1yrs | |
0 | ![]() | D | 6' 1" | 196 | 29 | 65 | 64 | 82 | 76 | 76 | 72 | 71 | 60 | 40 | 74 | 59 | 79 | 54 | 59 | 58 | 0 | 40 | 71 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 5' 11" | 188 | 26 | 69 | 40 | 90 | 76 | 76 | 64 | 63 | 55 | 40 | 71 | 55 | 78 | 54 | 56 | 58 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 0" | 190 | 24 | 61 | 44 | 77 | 65 | 70 | 67 | 63 | 56 | 40 | 66 | 56 | 71 | 54 | 58 | 57 | 0 | 40 | 65 | 100.00 | 805,555$/2yrs | |
0 | ![]() | D | 6' 1" | 196 | 29 | 60 | 51 | 69 | 62 | 67 | 64 | 62 | 57 | 40 | 60 | 56 | 64 | 56 | 68 | 61 | 0 | 40 | 63 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | D | 6' 2" | 201 | 26 | 60 | 52 | 68 | 58 | 68 | 65 | 62 | 56 | 40 | 59 | 55 | 66 | 54 | 61 | 57 | 0 | 40 | 62 | 100.00 | 1,063,333$/1yrs | |
0 | ![]() | D | 5' 11" | 181 | 27 | 54 | 54 | 67 | 58 | 59 | 64 | 62 | 58 | 40 | 59 | 54 | 57 | 54 | 64 | 58 | 0 | 40 | 60 | 100.00 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 4" | 238 | 33 | 84 | 78 | 77 | 77 | 83 | 86 | 78 | 69 | 0 | 40 | 80 | 100.00 | 5,000,000$/1yrs | |||||||
0 | ![]() | 6' 4" | 205 | 30 | 79 | 68 | 67 | 72 | 81 | 89 | 63 | 56 | 0 | 40 | 78 | 100.00 | 2,750,000$/1yrs | |||||||
0 | ![]() | 6' 2" | 190 | 30 | 72 | 53 | 52 | 58 | 57 | 52 | 53 | 52 | 0 | 40 | 63 | 100.00 | 725,000$/1yrs | |||||||
0 | ![]() | 6' 4" | 207 | 29 | 57 | 58 | 58 | 56 | 67 | 58 | 69 | 60 | 0 | 40 | 61 | 100.00 | 850,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 76 | 82 | 72 | 83 | 95 | 89 | 49 | USA | 65 | 1 | 525,000$ |
General Manager | Richard St-Jean |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 45 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas ![]() | C/LW | 22 | 791,667$ | 791,667$ | |||||||
Andrew Poturalski ![]() | C | 29 | 750,000$ | 750,000$ | |||||||
Anthony Angello ![]() | RW | 27 | 925,000$ | 925,000$ | |||||||
Artem Zub ![]() | D | 27 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Austin Poganski ![]() | RW | 27 | 762,500$ | 762,500$ | |||||||
Brandon Montour ![]() | D | 29 | 3,387,500$ | 3,387,500$ | |||||||
Brett Murray ![]() | C/LW | 24 | 700,000$ | 700,000$ | |||||||
Casey Fitzgerald ![]() | D | 26 | 925,000$ | 925,000$ | |||||||
Charlie Coyle ![]() | C | 31 | 3,200,000$ | 3,200,000$ | |||||||
Chris Driedger ![]() | LW | 29 | 850,000$ | 850,000$ | |||||||
Christian Dvorak ![]() | C | 27 | 4,450,000$ | 4,450,000$ | |||||||
Cole Caufield ![]() | RW | 22 | 1,308,333$ | 1,308,333$ | 1,308,333$ | ||||||
Danny O'Regan ![]() | C | 29 | 700,000$ | 700,000$ | |||||||
David Rittich ![]() | D | 30 | 2,750,000$ | 2,750,000$ | |||||||
Derek Forbort ![]() | D | 31 | 2,525,000$ | 2,525,000$ | |||||||
Frederik Andersen ![]() | LW | 33 | 5,000,000$ | 5,000,000$ | |||||||
Gavin Bayreuther ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Ivan Provorov ![]() | D | 26 | 6,750,000$ | 6,750,000$ | |||||||
Jakub Voracek ![]() | RW | 33 | 8,250,000$ | 8,250,000$ | 8,250,000$ | ||||||
Joel Edmundson ![]() | D | 29 | 3,100,000$ | 3,100,000$ | |||||||
Jonathan Toews ![]() | C | 35 | 10,500,000$ | 10,500,000$ | |||||||
Josh Bailey ![]() | RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Josh Leivo ![]() | LW | 29 | 1,500,000$ | 1,500,000$ | |||||||
Kale Clague ![]() | D | 24 | 761,250$ | 761,250$ | 761,250$ | ||||||
Logan Couture ![]() | C | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||||
Luka Burzan ![]() | C | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Maxime Lagace ![]() | RW | 30 | 750,000$ | 750,000$ | |||||||
Michael McCarron ![]() | RW | 28 | 700,000$ | 700,000$ | |||||||
Mike Reilly ![]() | D | 29 | 1,500,000$ | 1,500,000$ | |||||||
Mitch Reinke ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Nick Leddy ![]() | D | 32 | 5,500,000$ | 5,500,000$ | |||||||
Noah Juulsen ![]() | D | 26 | 1,063,333$ | 1,063,333$ | |||||||
Nolan Stevens ![]() | C/LW | 26 | 700,000$ | 700,000$ | |||||||
Oliver Bjorkstrand ![]() | RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Ondrej Palat ![]() | LW | 32 | 5,300,000$ | 5,300,000$ | |||||||
Radek Faksa ![]() | C | 29 | 2,200,000$ | 2,200,000$ | |||||||
Sam Carrick ![]() | C | 31 | 700,000$ | 700,000$ | |||||||
Scott Laughton ![]() | C | 28 | 2,300,000$ | 2,300,000$ | |||||||
Sean Couturier ![]() | C | 30 | 4,333,333$ | 4,333,333$ | |||||||
Shayne Gostisbehere ![]() | D | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Tanner Kaspick ![]() | C | 25 | 822,222$ | 822,222$ | |||||||
Timothy Liljegren ![]() | D | 24 | 1,263,333$ | 1,263,333$ | 1,263,333$ | ||||||
Trevor Moore ![]() | C/LW | 28 | 775,000$ | 775,000$ | |||||||
Tyler Angle ![]() | C | 22 | 700,000$ | 700,000$ | 700,000$ | ||||||
Zayde Wisdom ![]() | C | 20 | 925,000$ | 925,000$ | 925,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
112,468,471$ | 0$ | 0$ | 91,500,000$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
112,468,471$ | 112,462,776$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alex Cotton | |||||
Blake Murray | |||||
Ethan Cardwell | |||||
Evgeniy Oksentyuk | |||||
Filip Lindberg | |||||
Garin Bjorklund | |||||
John Ludvig | |||||
Kaiden Guhle | |||||
Quinn Schmiemann | |||||
Rory Kerins | |||||
Ryker Evans | |||||
Sebastien Cossa | |||||
Vincent Iorio |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alex Cotton | |||||
Blake Murray | |||||
Ethan Cardwell | |||||
Evgeniy Oksentyuk | |||||
Filip Lindberg | |||||
Garin Bjorklund | |||||
John Ludvig | |||||
Kaiden Guhle | |||||
Quinn Schmiemann | |||||
Rory Kerins | |||||
Ryker Evans | |||||
Sebastien Cossa | |||||
Vincent Iorio |