































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/RW | 100.00 | 66 | 40 | 85 | 85 | 76 | 79 | 91 | 75 | 53 | 73 | 80 | 70 | 67 | 63 | 59 | 0 | 75 | 27 | 8,125,000$/8yrs | |||||
![]() | LW/RW | 100.00 | 60 | 40 | 72 | 65 | 74 | 76 | 76 | 73 | 56 | 75 | 75 | 66 | 62 | 71 | 59 | 0 | 71 | 32 | 4,250,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 73 | 57 | 85 | 77 | 76 | 73 | 84 | 65 | 53 | 69 | 66 | 73 | 56 | 77 | 62 | 0 | 71 | 34 | 6,000,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 80 | 68 | 76 | 74 | 87 | 74 | 89 | 62 | 59 | 64 | 67 | 66 | 59 | 70 | 65 | 0 | 69 | 31 | 5,500,000$/4yrs | |||||
![]() | C | 100.00 | 73 | 47 | 84 | 68 | 85 | 66 | 92 | 60 | 82 | 64 | 64 | 79 | 54 | 74 | 60 | 0 | 69 | 31 | 3,250,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 70 | 40 | 85 | 76 | 80 | 76 | 79 | 63 | 53 | 67 | 64 | 64 | 61 | 60 | 58 | 0 | 68 | 30 | 2,500,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 81 | 67 | 78 | 67 | 73 | 64 | 75 | 63 | 58 | 64 | 66 | 68 | 55 | 61 | 58 | 0 | 67 | 30 | 775,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 67 | 59 | 92 | 76 | 71 | 69 | 73 | 62 | 69 | 66 | 63 | 64 | 65 | 69 | 59 | 0 | 67 | 30 | 4,250,000$/2yrs | |||||
![]() | C/RW | 100.00 | 73 | 74 | 78 | 65 | 86 | 64 | 76 | 60 | 80 | 61 | 65 | 72 | 54 | 61 | 58 | 0 | 66 | 30 | 775,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 68 | 62 | 74 | 71 | 63 | 64 | 73 | 65 | 54 | 61 | 72 | 62 | 55 | 59 | 58 | 0 | 66 | 29 | 775,000$/2yrs | |||||
![]() | RW | 100.00 | 65 | 38 | 88 | 58 | 75 | 67 | 80 | 60 | 59 | 72 | 61 | 63 | 55 | 85 | 67 | 0 | 65 | 35 | 5,000,000$/1yrs | |||||
![]() | RW | 100.00 | 57 | 60 | 65 | 65 | 66 | 69 | 68 | 67 | 56 | 66 | 62 | 67 | 58 | 62 | 57 | 0 | 65 | 26 | 775,000$/1yrs | |||||
![]() | D | 100.00 | 67 | 40 | 64 | 76 | 86 | 87 | 75 | 72 | 40 | 76 | 67 | 76 | 61 | 78 | 66 | 0 | 74 | 31 | 9,000,000$/5yrs | |||||
![]() | D | 100.00 | 64 | 48 | 81 | 76 | 81 | 86 | 86 | 65 | 40 | 72 | 60 | 77 | 56 | 78 | 60 | 0 | 72 | 34 | 6,500,000$/4yrs | |||||
![]() | D | 100.00 | 70 | 40 | 81 | 87 | 70 | 78 | 86 | 58 | 40 | 65 | 59 | 76 | 54 | 68 | 59 | 0 | 70 | 31 | 3,687,500$/1yrs | |||||
![]() | D | 100.00 | 71 | 48 | 89 | 70 | 80 | 74 | 91 | 58 | 40 | 64 | 60 | 82 | 54 | 59 | 58 | 0 | 69 | 23 | 925,000$/3yrs | |||||
![]() | D | 100.00 | 65 | 40 | 83 | 70 | 73 | 71 | 77 | 60 | 40 | 66 | 59 | 74 | 54 | 58 | 58 | 0 | 67 | 24 | 925,000$/2yrs | |||||
![]() | D | 100.00 | 61 | 58 | 71 | 68 | 72 | 67 | 66 | 57 | 40 | 61 | 56 | 70 | 54 | 69 | 61 | 0 | 64 | 32 | 2,250,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 68 | 51 | 80 | 72 | 76 | 72 | 80 | 64 | 54 | 67 | 65 | 71 | 57 | 68 | 60 | 0 | 69 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 74 | 100.00 | 84 | 99 | 99 | 69 | 82 | 74 | 89 | 81 | 94 | 77 | 90 | 72 | 60 | 0 | 84 | 30 | 5,000,000$/2yrs | |
![]() | 1 | 100.00 | 60 | 65 | 65 | 69 | 64 | 59 | 66 | 65 | 63 | 65 | 64 | 59 | 55 | 0 | 63 | 26 | 925,000$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 80 | 100.00 | 69 | 68 | 70 | 90 | 80 | 92 | 75 | 63 | 87 | 85 | 79 | 59 | 56 | 0 | 75 | 27 | 2,200,000$/2yrs | |
TEAM AVERAGE | 100.00 | 71 | 77 | 78 | 76 | 75 | 75 | 77 | 70 | 81 | 76 | 78 | 63 | 57 | 0 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 71 | 71 | 70 | 69 | 80 | 76 | 1 | CAN | 65 | 2 | 0$ |
General Manager | Alex Gingras |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
---|
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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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 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 89,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
Contracts | 55/50 |
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 Scheel ![]() | G | 26 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Alexander Barabanov ![]() ![]() | LW/RW | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Andreas Athanasiou ![]() | C/LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Braden Schneider ![]() | D | 23 | 925,000$ | 925,000$ | 2,200,000$ | 2,200,000$ | RFA | ||||
Dan Vladar ![]() | G | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ![]() | |||||
Dougie Hamilton ![]() | D | 31 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||
Jordan Kyrou ![]() | C/RW | 27 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Josh Anderson ![]() | LW/RW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Josh Bailey ![]() | RW | 35 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Juuse Saros ![]() | G | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Kiefer Sherwood ![]() | LW/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Kole Lind ![]() | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Matt Grzelcyk ![]() | D | 31 | 3,687,500$ | 3,687,500$ | UFA | ||||||
Michael Carcone ![]() | C/LW/RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Michael McCarron ![]() | C/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nils Lundkvist ![]() | D | 24 | 925,000$ | 925,000$ | 1,250,000$ | RFA | |||||
Ondrej Palat ![]() | LW/RW | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Radek Faksa ![]() | C | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Radim Simek ![]() ![]() | D | 32 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Torey Krug ![]() | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Viktor Arvidsson ![]() | LW/RW | 32 | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akito Hirose ![]() | D | 26 | 787,500$ | 787,500$ | 787,500$ | ![]() | |||||
Alexandre Texier ![]() | C/LW/RW | 25 | 1,525,000$ | 1,525,000$ | 2,100,000$ | 2,100,000$ | ![]() | ||||
Anthony Angello ![]() | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Anttoni Honka ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Brandon Hickey ![]() | D | 29 | 775,000$ | 775,000$ | ![]() | ||||||
Brandon Scanlin ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | ![]() | ||||
Calvin Pickard ![]() | G | 33 | 775,000$ | 775,000$ | UFA | ||||||
Colton Dach ![]() | LW | 22 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Evan Cormier ![]() ![]() | G | 27 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Filip Kral ![]() | D | 25 | 810,000$ | 810,000$ | RFA | ||||||
Filip Zadina ![]() | LW/RW | 25 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Gabriel Fortier ![]() | LW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Gavin Brindley ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Jamieson Rees ![]() | C | 24 | 839,167$ | 839,167$ | 775,000$ | RFA | |||||
Jared McIsaac ![]() | D | 25 | 787,500$ | 787,500$ | RFA | ||||||
John Leonard ![]() | LW/RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Jonatan Berggren ![]() | LW/RW | 24 | 925,000$ | 925,000$ | 825,000$ | RFA | |||||
Justin Barron ![]() | D | 23 | 925,000$ | 925,000$ | 1,150,000$ | 1,150,000$ | RFA | ||||
Juuso Parssinen ![]() | C/LW | 24 | 850,833$ | 850,833$ | 775,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Lane Pederson ![]() | C | 27 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Liam Foudy ![]() | C/LW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Marian Studenic ![]() | LW/RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Matej Blumel ![]() | LW/RW | 24 | 925,000$ | 925,000$ | 775,000$ | RFA | |||||
Max Sasson ![]() | C | 24 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Michael Vukojevic ![]() | D | 23 | 850,833$ | 850,833$ | RFA | ||||||
Mikhail Abramov ![]() | C | 24 | 809,444$ | 809,444$ | RFA | ||||||
Nico Myatovic ![]() | LW | 20 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | 896,667$ | ||||
Ryan Suzuki ![]() | C | 23 | 863,333$ | 863,333$ | 775,000$ | RFA | |||||
Samuel Houde ![]() | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Shane Pinto ![]() | C | 24 | 775,000$ | 775,000$ | 3,750,000$ | 3,750,000$ | RFA | ||||
Troy Grosenick ![]() ![]() | G | 35 | 775,000$ | 775,000$ | UFA | ||||||
Tyce Thompson ![]() | RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Tyler Angle ![]() | C | 24 | 850,833$ | 850,833$ | RFA | ||||||
Tyler Boucher ![]() | RW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Will Cuylle ![]() | LW | 23 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Xavier Parent ![]() | C | 24 | 775,000$ | 775,000$ | 850,000$ | RFA |
Forward Lines | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
73,387,500$ | 0$ | 0$ | 89,700,000$ |
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 |
73,387,500$ | 73,387,500$ | 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$ | 75,765,152$ | 75,765,152$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Aidan Thompson | ![]() | 2022 | 90 | Link | |
Alfons Freij | ![]() | 2024 | 37 | Link | |
Charlie Forslund | ![]() | 2024 | 176 | Link | |
Easton Cowan | ![]() | 2023 | 28 | Link | |
Joona Saarelainen | ![]() | 2024 | 149 | Link | |
Julian Lutz | ![]() | 2022 | 42 | Link | |
Justin Ertel | ![]() | 2021 | 79 | Link | |
Kalan Lind | ![]() | 2023 | 46 | Link | |
Liam Greentree | ![]() | 2024 | 26 | Link | |
Michael Brandsegg-Nigard | ![]() | 2024 | 15 | Link | |
Miroslav Holinka | ![]() | 2024 | 151 | Link | |
Nate Misskey | ![]() | 2024 | 143 | Link | |
Ondrej Becher | ![]() | 2024 | 80 | Link | |
Ryan Leonard | ![]() | 2023 | 8 | Link | |
Sam Stange | ![]() | 2020 | 97 | Link | |
Samuel Jonsson | ![]() | 2022 | 158 | Link | |
Tanner Ludtke | ![]() | 2023 | 81 | Link | |
Ty Young | ![]() | 2022 | 144 | Link | |
Viktor Norringer | ![]() | 2024 | 127 | Link | |
Zayne Parekh | ![]() | 2024 | 127 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Aidan Thompson | ![]() | 2022 | 90 | Link | |
Alfons Freij | ![]() | 2024 | 37 | Link | |
Charlie Forslund | ![]() | 2024 | 176 | Link | |
Easton Cowan | ![]() | 2023 | 28 | Link | |
Joona Saarelainen | ![]() | 2024 | 149 | Link | |
Julian Lutz | ![]() | 2022 | 42 | Link | |
Justin Ertel | ![]() | 2021 | 79 | Link | |
Kalan Lind | ![]() | 2023 | 46 | Link | |
Liam Greentree | ![]() | 2024 | 26 | Link | |
Michael Brandsegg-Nigard | ![]() | 2024 | 15 | Link | |
Miroslav Holinka | ![]() | 2024 | 151 | Link | |
Nate Misskey | ![]() | 2024 | 143 | Link | |
Ondrej Becher | ![]() | 2024 | 80 | Link | |
Ryan Leonard | ![]() | 2023 | 8 | Link | |
Sam Stange | ![]() | 2020 | 97 | Link | |
Samuel Jonsson | ![]() | 2022 | 158 | Link | |
Tanner Ludtke | ![]() | 2023 | 81 | Link | |
Ty Young | ![]() | 2022 | 144 | Link | |
Viktor Norringer | ![]() | 2024 | 127 | Link | |
Zayne Parekh | ![]() | 2024 | 127 | Link |