Full Scoreboard » |
Nashville Predators 0-0-0, 0pts · 14th in Western Conference |
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/RW | 100.00 | 65 | 41 | 72 | 67 | 74 | 88 | 83 | 66 | 63 | 68 | 64 | 65 | 67 | 73 | 75 | 26 | 75 | 0 | 32 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 36 | 90 | 72 | 79 | 86 | 68 | 71 | 75 | 68 | 70 | 65 | 73 | 59 | 63 | 91 | 75 | 0 | 19 | 950,000$/2yrs | |||
![]() | 15 | C/LW | 100.00 | 71 | 36 | 83 | 73 | 81 | 83 | 90 | 72 | 81 | 70 | 68 | 64 | 73 | 66 | 70 | 86 | 75 | 0 | 23 | 5,000,000$/1yrs | |||
![]() | 53 | C/LW | 100.00 | 60 | 34 | 85 | 79 | 72 | 87 | 89 | 77 | 76 | 78 | 80 | 64 | 79 | 86 | 75 | 53 | 75 | 0 | 32 | 9,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 70 | 36 | 95 | 67 | 79 | 89 | 87 | 66 | 74 | 71 | 64 | 87 | 66 | 65 | 68 | 55 | 75 | 0 | 25 | 2,625,000$/1yrs | |||
![]() | 65 | D | 100.00 | 62 | 34 | 85 | 81 | 72 | 95 | 90 | 79 | 30 | 91 | 77 | 66 | 62 | 87 | 78 | 45 | 75 | 0 | 34 | 11,500,000$/3yrs | |||
![]() | 5 | D | 100.00 | 73 | 37 | 93 | 66 | 85 | 91 | 89 | 63 | 30 | 73 | 57 | 88 | 50 | 80 | 71 | 65 | 75 | 0 | 30 | 3,800,000$/2yrs | |||
![]() | 58 | D | 100.00 | 83 | 61 | 83 | 65 | 81 | 82 | 81 | 63 | 30 | 64 | 58 | 76 | 50 | 67 | 69 | 68 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 95 | 75 | 69 | 66 | 88 | 86 | 88 | 63 | 30 | 68 | 61 | 83 | 51 | 68 | 69 | 61 | 75 | 0 | 27 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 60 | 36 | 95 | 72 | 70 | 84 | 85 | 74 | 73 | 71 | 69 | 63 | 75 | 62 | 66 | 88 | 75 | 0 | 21 | ||||
![]() | 0 | LW | 100.00 | 80 | 47 | 82 | 60 | 91 | 78 | 75 | 62 | 58 | 65 | 60 | 55 | 61 | 89 | 76 | 34 | 75 | 0 | 36 | ||||
![]() | 0 | C | 100.00 | 68 | 36 | 88 | 64 | 71 | 80 | 83 | 62 | 75 | 60 | 59 | 78 | 61 | 69 | 70 | 56 | 75 | 0 | 27 | ||||
![]() | 26 | C/RW | 100.00 | 66 | 42 | 83 | 70 | 94 | 86 | 84 | 72 | 85 | 77 | 69 | 64 | 71 | 90 | 82 | 37 | 75 | 0 | 37 | ||||
![]() | 5 | RW | 100.00 | 71 | 37 | 92 | 67 | 83 | 87 | 89 | 64 | 58 | 65 | 66 | 67 | 63 | 68 | 69 | 66 | 75 | 0 | 26 | ||||
![]() | 99 | LW/RW | 100.00 | 66 | 34 | 89 | 82 | 70 | 88 | 89 | 79 | 56 | 78 | 76 | 66 | 80 | 64 | 71 | 89 | 75 | 0 | 22 | ||||
![]() | 52 | D | 100.00 | 76 | 53 | 83 | 62 | 80 | 78 | 84 | 57 | 30 | 60 | 56 | 68 | 48 | 78 | 79 | 20 | 75 | 0 | 36 | ||||
![]() | 0 | D | 100.00 | 76 | 40 | 91 | 74 | 88 | 87 | 89 | 73 | 30 | 75 | 71 | 74 | 57 | 64 | 68 | 82 | 75 | 0 | 22 | ||||
![]() | 0 | D | 100.00 | 72 | 38 | 89 | 69 | 81 | 86 | 87 | 67 | 30 | 70 | 68 | 64 | 55 | 63 | 64 | 81 | 75 | 0 | 22 | ||||
![]() | 0 | D | 100.00 | 76 | 39 | 91 | 60 | 87 | 80 | 85 | 58 | 30 | 60 | 53 | 66 | 47 | 72 | 74 | 34 | 75 | 0 | 32 | ||||
![]() | 0 | D | 100.00 | 59 | 36 | 93 | 64 | 68 | 69 | 79 | 58 | 30 | 61 | 56 | 59 | 48 | 69 | 71 | 47 | 75 | 0 | 29 | ||||
TEAM AVERAGE | 100.00 | 71 | 41 | 87 | 69 | 80 | 85 | 85 | 67 | 52 | 70 | 65 | 69 | 62 | 72 | 71 | 59 | 75 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 3 | 100.00 | 80 | 81 | 75 | 93 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 69 | 83 | 55 | 75 | 0 | 28 | 775,000$/1yrs |
![]() | 30 | 100.00 | 90 | 84 | 79 | 75 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 80 | 87 | 52 | 75 | 0 | 32 | 5,750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 32 | 100.00 | 78 | 79 | 72 | 69 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 79 | 91 | 43 | 75 | 0 | 36 | |
TEAM AVERAGE | 100.00 | 83 | 81 | 75 | 79 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 76 | 87 | 50 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 83 | 80 | 84 | 86 | 87 | 81 | 60 | CAN | 58 | 3 | 3,500,000$ |
General Manager | Francois Bourret |
---|
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 |
---|
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 | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 15 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | ||||||
Alex Belzile | C/RW/G | 32 | 775,000$ | 775,000$ | UFA | ||||||
Alex Stalock | D/G | 36 | 0$ | ||||||||
Blake Wheeler ![]() | C/RW | 37 | 0$ | UFA | |||||||
Cody Ceci | D | 30 | 3,800,000$ | 3,800,000$ | 3,800,000$ | ||||||
Dylan Gambrell | C | 27 | 0$ | RFA | |||||||
Erik Karlsson ![]() | D/G | 34 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | ||||
Jeff Skinner ![]() | C/LW | 32 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Jeremy Lauzon | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Jesperi Kotkaniemi | C/LW | 23 | 5,000,000$ | 5,000,000$ | RFA | ||||||
Jonas Johansson | C/G | 28 | 775,000$ | 775,000$ | |||||||
Justin Barron ![]() | D | 22 | 0$ | ||||||||
Kent Johnson ![]() | C/LW/G | 21 | 0$ | ||||||||
Kevin Gravel ![]() | D | 32 | 0$ | UFA | |||||||
Lucas Raymond ![]() | LW/RW | 22 | 0$ | ||||||||
Matt Irwin ![]() | D | 36 | 0$ | UFA | |||||||
Milan Lucic ![]() | LW | 36 | 0$ | UFA | |||||||
Noah Cates | LW | 25 | 2,625,000$ | 2,625,000$ | RFA | ||||||
Noah Juulsen ![]() | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
Philipp Grubauer ![]() | D/G | 32 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | RFA | ||||
Taylor Raddysh | RW | 26 | 0$ | RFA | |||||||
Thomas Harley ![]() | D | 22 | 0$ | ||||||||
Will Butcher ![]() | D | 29 | 0$ |
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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
54,090,000$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bridgestone Arena | |
City | Nashville | ||
Capacity | 17113 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 3113 | 1000 |
Ticket Price | 120$ | 100$ | 75$ | 50$ | 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 | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 17113 | 95 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
54,090,000$ | 54,090,000$ | 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$ | 151,237,704$ | 151,237,704$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
Adam Engstrom | 2022 | 193 | ELC 2024-25 | Link | |
Aku Koskenvuo | 2021 | 146 | Expiration droits: 1er juin 2025 | Link | |
Aleksandr Legkov | 2022 | 184 | |||
Andrei Buyalsky | 2021 | 107 | Expiration droits: 15 aout 2025 | Link | |
Bryce Brodzinski | 2019 | 201 | |||
Carson Bantle | 2020 | 88 | |||
Emil Pieniniemi | 2023 | 91 | ELC 2024-25 | Link | |
Graham Sward | 2022 | 136 | |||
Joel Jonsson | 2022 | 168 | |||
Josh Pillar | 2021 | 139 | |||
Justin Janicke | 2021 | 218 | |||
Kalle Vaisanen | 2021 | 112 | |||
Liam Amsby | 2022 | 156 | |||
Matthew Morden | 2022 | 200 | |||
Vyacheslav Peksa | 2021 | 203 | ELC 2024-25 | Link | |
Will Smith | 2023 | 4 | ELC 2024-25 | Link |
|