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Full Scoreboard »» |
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Full Scoreboard »» |
Nashville Predators 0-0-0, 0pts · 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 | C | 100.00 | 62 | 32 | 86 | 82 | 74 | 89 | 76 | 72 | 85 | 78 | 78 | 61 | 75 | 56 | 55 | 0 | 35 | 83 | 18 | 975,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 77 | 42 | 78 | 66 | 93 | 83 | 90 | 68 | 60 | 66 | 74 | 60 | 71 | 84 | 95 | 0 | 37 | 80 | 34 | 7,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 66 | 74 | 82 | 89 | 64 | 58 | 70 | 66 | 68 | 65 | 83 | 82 | 0 | 29 | 78 | 34 | 5,000,000$/4yrs | |||
![]() | 17 | C | 100.00 | 79 | 39 | 79 | 68 | 82 | 78 | 85 | 66 | 58 | 62 | 72 | 59 | 69 | 73 | 71 | 0 | 32 | 77 | 28 | 1,750,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 40 | 75 | 56 | 76 | 73 | 72 | 73 | 47 | 63 | 59 | 77 | 61 | 86 | 83 | 0 | 31 | 76 | 36 | 900,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 42 | 67 | 67 | 76 | 83 | 90 | 64 | 79 | 72 | 63 | 58 | 64 | 78 | 75 | 0 | 34 | 76 | 31 | 6,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 32 | 90 | 67 | 72 | 79 | 88 | 65 | 56 | 68 | 66 | 53 | 65 | 63 | 62 | 0 | 32 | 75 | 23 | 797,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 33 | 92 | 62 | 84 | 80 | 85 | 63 | 60 | 67 | 63 | 55 | 63 | 75 | 75 | 0 | 41 | 74 | 30 | 5,750,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 33 | 92 | 65 | 77 | 82 | 71 | 61 | 59 | 63 | 63 | 72 | 62 | 62 | 62 | 0 | 19 | 74 | 22 | 941,667$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 93 | 60 | 76 | 76 | 71 | 60 | 76 | 63 | 59 | 68 | 60 | 76 | 76 | 0 | 23 | 73 | 30 | 4,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 32 | 89 | 64 | 74 | 74 | 74 | 61 | 57 | 61 | 67 | 53 | 64 | 74 | 72 | 0 | 21 | 73 | 29 | 5,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 94 | 38 | 80 | 55 | 82 | 72 | 73 | 54 | 57 | 59 | 53 | 60 | 54 | 73 | 71 | 0 | 43 | 69 | 28 | 1,000,000$/1yrs | |||
![]() | 35 | D | 100.00 | 76 | 43 | 74 | 55 | 80 | 84 | 88 | 60 | 30 | 63 | 54 | 78 | 57 | 79 | 76 | 0 | 44 | 76 | 31 | 2,700,000$/4yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 91 | 55 | 89 | 88 | 80 | 59 | 30 | 63 | 57 | 71 | 58 | 76 | 75 | 0 | 35 | 75 | 30 | 5,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 94 | 63 | 71 | 83 | 76 | 57 | 30 | 67 | 59 | 56 | 58 | 66 | 65 | 0 | 74 | 74 | 24 | 2,350,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 34 | 80 | 55 | 86 | 88 | 82 | 57 | 30 | 60 | 54 | 72 | 56 | 72 | 70 | 0 | 35 | 73 | 27 | 3,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 79 | 39 | 64 | 55 | 71 | 85 | 87 | 55 | 30 | 59 | 55 | 68 | 55 | 76 | 73 | 0 | 43 | 72 | 30 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 85 | 55 | 75 | 81 | 69 | 54 | 30 | 59 | 56 | 59 | 55 | 71 | 70 | 0 | 33 | 70 | 27 | 1,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 65 | 35 | 87 | 57 | 78 | 76 | 84 | 61 | 75 | 62 | 62 | 67 | 62 | 68 | 67 | 0 | 44 | 72 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 32 | 86 | 56 | 72 | 81 | 73 | 55 | 30 | 62 | 59 | 64 | 57 | 72 | 70 | 0 | 16 | 72 | 27 | 3,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 87 | 55 | 82 | 78 | 86 | 51 | 30 | 57 | 56 | 60 | 54 | 81 | 79 | 0 | 18 | 70 | 33 | 2,000,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 68 | 36 | 84 | 61 | 78 | 81 | 80 | 61 | 51 | 64 | 62 | 64 | 61 | 74 | 73 | 0 | 34 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 84 | 83 | 76 | 79 | 82 | 71 | 84 | 87 | 83 | 86 | 84 | 83 | 88 | 0 | 31 | 86 | 34 | 3,850,000$/1yrs |
![]() | 0 | 100.00 | 60 | 61 | 65 | 94 | 61 | 60 | 60 | 60 | 60 | 68 | 60 | 66 | 69 | 0 | 33 | 69 | 25 | 950,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 61 | 65 | 74 | 57 | 60 | 60 | 60 | 60 | 64 | 60 | 62 | 65 | 0 | 44 | 67 | 22 | 925,000$/2yrs |
TEAM AVERAGE | 99.67 | 68 | 68 | 69 | 82 | 67 | 64 | 68 | 69 | 68 | 73 | 68 | 70 | 74 | 0 | 36 | 74 |
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 | Félix Fortier |
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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 |
# | 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 |
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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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
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 |
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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 | 36 | 900,000$ | 900,000$ | UFA | ||||||
Collin Graf ![]() | C/RW | 22 | 941,667$ | 941,667$ | 941,667$ | RFA | |||||
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 | 25 | 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 | |||||
Aleksi Heimosalmi ![]() | D | 21 | 0$ | RFA | |||||||
Anton Blidh ![]() | LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Artur Akhtyamov ![]() | G | 23 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Ben Hemmerling ![]() | RW | 21 | 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 | 24 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
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 | |||||
Elias Salomonsson ![]() | D | 20 | 0$ | RFA | |||||||
Felix Unger Sorum ![]() | RW | 19 | 0$ | RFA | |||||||
Henry Thrun ![]() | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Hunter Skinner ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ilya Solovyov ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Isaiah George ![]() | D | 21 | 0$ | RFA | |||||||
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 | 25 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Matt Irwin ![]() | D | 37 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Phillips ![]() | C/LW | 27 | 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$ | ![]() | ||||||
Vsevolod Komarov ![]() | D | 21 | 0$ | RFA | |||||||
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 |
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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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 |
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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 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,239,167$ | 0$ | 0$ | 15,760,833$ |
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 | 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 |
72,239,167$ | 72,239,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 72,239,167$ | 72,915,769$ | 72,915,769$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
A.J. Spellacy | 2024 | 72 | |||
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 | |||
Eric Engstrand | |||||
Eriks Mateiko | 2024 | 90 | |||
Ethan Miedema | 2023 | 112 | |||
Harrison Brunicke | 2024 | 51 | |||
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 | |||
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 | |||
Xavier Daigle | 2023 | 220 | |||
Yegor Surin | 2024 | 37 | |||
Yegor Yegorov | 2023 | 182 |