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Florida Panthers 0-0-0, 0pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 38 | C/LW | 100.00 | 77 | 51 | 88 | 73 | 81 | 90 | 75 | 74 | 84 | 72 | 78 | 83 | 71 | 80 | 88 | 47 | 75 | 0 | 31 | 4,500,000$/1yrs | |||
![]() | 47 | C/RW | 100.00 | 78 | 85 | 65 | 66 | 99 | 82 | 87 | 64 | 84 | 61 | 62 | 80 | 58 | 72 | 74 | 65 | 75 | 0 | 30 | 900,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 37 | 80 | 67 | 86 | 82 | 90 | 64 | 86 | 61 | 65 | 87 | 63 | 70 | 71 | 56 | 75 | 0 | 28 | 2,000,000$/1yrs | |||
![]() | 87 | C | 100.00 | 70 | 37 | 85 | 83 | 72 | 91 | 90 | 87 | 89 | 86 | 84 | 67 | 88 | 92 | 96 | 39 | 75 | 0 | 37 | 8,700,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 35 | 94 | 67 | 74 | 82 | 85 | 63 | 84 | 60 | 61 | 89 | 58 | 77 | 75 | 23 | 75 | 0 | 33 | 2,000,000$/1yrs | |||
![]() | 19 | RW | 100.00 | 74 | 37 | 86 | 81 | 83 | 89 | 90 | 80 | 58 | 79 | 77 | 65 | 78 | 69 | 72 | 50 | 75 | 0 | 27 | 4,975,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 86 | 88 | 63 | 76 | 91 | 87 | 89 | 74 | 56 | 73 | 77 | 81 | 71 | 82 | 76 | 65 | 75 | 0 | 31 | 6,500,000$/6yrs | |||
![]() | 15 | C | 100.00 | 71 | 35 | 83 | 75 | 77 | 87 | 90 | 71 | 84 | 73 | 68 | 77 | 67 | 65 | 68 | 83 | 75 | 0 | 23 | 5,000,000$/5yrs | |||
![]() | 24 | D | 100.00 | 74 | 44 | 82 | 64 | 92 | 88 | 80 | 63 | 30 | 67 | 55 | 84 | 49 | 77 | 73 | 46 | 75 | 0 | 32 | 3,750,000$/5yrs | |||
![]() | 55 | D | 100.00 | 75 | 38 | 93 | 64 | 88 | 90 | 77 | 63 | 30 | 72 | 59 | 78 | 52 | 80 | 72 | 68 | 75 | 0 | 30 | 5,100,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 23 | LW | 100.00 | 80 | 54 | 82 | 77 | 89 | 87 | 90 | 76 | 51 | 73 | 74 | 69 | 78 | 63 | 71 | 68 | 75 | 0 | 22 | ||||
![]() | 22 | C | 100.00 | 89 | 68 | 73 | 67 | 90 | 82 | 88 | 66 | 77 | 68 | 64 | 75 | 65 | 66 | 67 | 64 | 75 | 0 | 25 | ||||
![]() | 52 | C/LW | 100.00 | 80 | 43 | 82 | 66 | 83 | 79 | 87 | 64 | 81 | 62 | 61 | 78 | 56 | 77 | 72 | 35 | 75 | 0 | 32 | ||||
![]() | 17 | C/LW | 100.00 | 69 | 39 | 81 | 66 | 70 | 79 | 83 | 64 | 72 | 62 | 61 | 63 | 67 | 69 | 68 | 73 | 75 | 0 | 27 | ||||
![]() | 20 | D | 100.00 | 67 | 36 | 90 | 64 | 78 | 84 | 90 | 65 | 30 | 71 | 54 | 77 | 50 | 95 | 81 | 30 | 75 | 0 | 40 | ||||
![]() | 54 | D | 100.00 | 69 | 41 | 84 | 65 | 90 | 89 | 86 | 63 | 30 | 74 | 59 | 86 | 52 | 67 | 69 | 71 | 75 | 0 | 26 | ||||
![]() | 2 | D | 100.00 | 65 | 36 | 88 | 78 | 82 | 94 | 90 | 81 | 30 | 90 | 76 | 65 | 63 | 68 | 73 | 82 | 75 | 0 | 25 | ||||
![]() | 45 | D | 100.00 | 64 | 34 | 90 | 66 | 70 | 86 | 76 | 63 | 30 | 71 | 58 | 72 | 52 | 66 | 67 | 63 | 75 | 0 | 24 | ||||
![]() | 4 | D | 100.00 | 80 | 37 | 77 | 75 | 74 | 92 | 89 | 69 | 30 | 79 | 67 | 78 | 55 | 74 | 72 | 35 | 75 | 0 | 29 | ||||
TEAM AVERAGE | 100.00 | 75 | 46 | 82 | 71 | 83 | 86 | 86 | 69 | 59 | 71 | 66 | 77 | 63 | 74 | 74 | 56 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 94 | 93 | 88 | 89 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 75 | 84 | 51 | 75 | 0 | 29 | 6,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 85 | 100.00 | 91 | 90 | 86 | 78 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 67 | 73 | 61 | 75 | 0 | 24 | |
TEAM AVERAGE | 100.00 | 93 | 92 | 87 | 84 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 71 | 79 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 86 | 88 | 87 | 80 | 91 | 85 | 54 | CAN | 62 | 5 | 5,250,000$ |
General Manager | Eric Leclerc |
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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 | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 2,333,333$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 13 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Lundell | C | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Boone Jenner ![]() | C/LW/G | 31 | 4,500,000$ | 4,500,000$ | |||||||
Drake Batherson | RW | 27 | 4,975,000$ | 4,975,000$ | 4,975,000$ | RFA | |||||
Dylan Samberg | D | 26 | 0$ | RFA | |||||||
Evan Bouchard | D | 25 | 0$ | RFA | |||||||
Ilya Sorokin ![]() | RW/G | 29 | 6,000,000$ | 6,000,000$ | RFA | ||||||
Jack McBain | C | 25 | 0$ | RFA | |||||||
Jordan Harris | D | 24 | 0$ | RFA | |||||||
Kevin Stenlund | C/RW | 28 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Lukas Dostal ![]() | RW/G | 24 | 0$ | RFA | |||||||
Matthew Knies ![]() | LW | 22 | 0$ | ||||||||
Michael McCarron | C/RW | 30 | 900,000$ | 900,000$ | |||||||
Neal Pionk | D | 29 | 0$ | RFA | |||||||
Noel Acciari ![]() | C/LW | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Rasmus Ristolainen | D | 30 | 5,100,000$ | 5,100,000$ | 5,100,000$ | ||||||
Ryan Suter ![]() | D | 40 | 0$ | UFA | |||||||
Scott Mayfield ![]() | D | 32 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||
Sean Kuraly | C/LW | 32 | 0$ | ||||||||
Sidney Crosby ![]() | C | 37 | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||||
Tom Wilson ![]() | RW | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Tyson Jost | C/LW | 27 | 0$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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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 | 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 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
50,975,000$ | 2,333,333$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Amerant Bank Arena | |
City | Florida | ||
Capacity | 19250 | ||
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6250 | 5000 | 3000 | 4000 | 1000 |
Ticket Price | 125$ | 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 | |||||
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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$ | 19250 | 85 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
50,975,000$ | 49,425,000$ | 0$ | 2,333,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 153,795,016$ | 153,795,016$ |
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 |
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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 |
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Artur Kayumov | 2016 | 65 | |||
Artyom Galimov | 2020 | 136 | |||
Ben Robertson | 2024 | 223 | |||
Brady Cleveland | 2023 | 85 | |||
Calum Ritchie | 2023 | 21 | ELC 2025-26 | Link | |
Cameron MacDonald | 2021 | 173 | |||
Carson Latimer | 2021 | 134 | |||
Carson Rehkopf | 2023 | 53 | ELC 2025-26 | Link | |
Cole Shepard | 2020 | 167 | |||
Danil Savunov | 2019 | 180 | |||
Egor Afanasyev | |||||
Emil Hemming | 2024 | 31 | ELC 2025-26 | Link | |
Ethan Miedema | 2023 | 88 | |||
Francesco Dell'elce | 2023 | 181 | |||
Herman Traff | 2024 | 95 | |||
Jacob Holmes | 2021 | 153 | |||
Jake Sloan | 2022 | 141 | |||
Konnor Smith | 2023 | 149 | ELC 2025-26 | Link | |
Kristers Steinbergs | 2023 | 160 | |||
Lucas Van Vliet | 2024 | 191 | |||
Ludvig Jansson | 2022 | 173 | ELC 2025-26 | Link | |
Roman Kukumberg | 2023 | 213 | |||
Semyon Vyazovoi | 2021 | 178 | |||
Tyler Brennan | 2022 | 45 | |||
Veit Oswald | 2024 | 159 |
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