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Full Scoreboard » |
Florida Panthers 32-31-5, 69pts · 10th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 38 | C/LW | 99.25 | 78 | 51 | 80 | 72 | 82 | 91 | 84 | 74 | 85 | 70 | 80 | 77 | 73 | 79 | 88 | 59 | 75 | 0 | 31 | 4,500,000$/2yrs | |||
![]() | 47 | C/RW | 100.00 | 87 | 85 | 67 | 65 | 99 | 81 | 82 | 64 | 84 | 61 | 63 | 75 | 62 | 70 | 71 | 66 | 75 | 0 | 30 | 900,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 80 | 45 | 78 | 66 | 92 | 81 | 89 | 65 | 82 | 64 | 62 | 83 | 63 | 69 | 70 | 58 | 75 | 0 | 28 | 2,000,000$/2yrs | |||
![]() | 87 | C | 100.00 | 70 | 34 | 82 | 84 | 72 | 91 | 90 | 85 | 87 | 88 | 84 | 67 | 89 | 91 | 96 | 41 | 75 | 0 | 37 | 8,700,000$/1yrs | |||
![]() | 0 | C/LW | 99.75 | 84 | 37 | 93 | 66 | 72 | 83 | 85 | 63 | 84 | 60 | 64 | 91 | 63 | 76 | 75 | 26 | 75 | 0 | 33 | 2,000,000$/2yrs | |||
![]() | 19 | RW | 100.00 | 72 | 40 | 86 | 78 | 84 | 89 | 90 | 75 | 57 | 79 | 76 | 65 | 74 | 68 | 71 | 56 | 75 | 0 | 26 | 4,975,000$/3yrs | |||
![]() | 23 | LW | 100.00 | 78 | 54 | 82 | 73 | 87 | 83 | 75 | 69 | 50 | 70 | 67 | 65 | 68 | 62 | 67 | 71 | 75 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | RW | 99.75 | 87 | 88 | 55 | 74 | 90 | 88 | 80 | 72 | 57 | 70 | 75 | 81 | 65 | 79 | 72 | 67 | 75 | 0 | 30 | 6,500,000$/7yrs | |||
![]() | 15 | C | 99.75 | 64 | 38 | 81 | 73 | 75 | 86 | 89 | 70 | 82 | 72 | 66 | 77 | 69 | 65 | 68 | 84 | 75 | 0 | 23 | 5,000,000$/6yrs | |||
![]() | 22 | C | 100.00 | 90 | 68 | 76 | 67 | 84 | 82 | 88 | 66 | 75 | 68 | 64 | 79 | 63 | 64 | 66 | 68 | 75 | 0 | 25 | 1,599,999$/1yrs | |||
![]() | 52 | C/LW | 100.00 | 83 | 37 | 74 | 62 | 83 | 84 | 85 | 63 | 79 | 62 | 65 | 82 | 63 | 74 | 71 | 45 | 75 | 0 | 32 | 2,500,000$/1yrs | |||
![]() | 17 | C/LW | 100.00 | 67 | 40 | 86 | 68 | 72 | 80 | 86 | 66 | 74 | 65 | 60 | 70 | 65 | 68 | 69 | 82 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 24 | D | 99.75 | 73 | 49 | 72 | 66 | 93 | 91 | 83 | 62 | 30 | 72 | 58 | 87 | 50 | 75 | 73 | 47 | 75 | 0 | 32 | 3,750,000$/6yrs | |||
![]() | 54 | D | 99.50 | 72 | 45 | 85 | 65 | 90 | 86 | 87 | 63 | 30 | 71 | 54 | 85 | 50 | 65 | 67 | 71 | 75 | 0 | 26 | 1,500,000$/1yrs | |||
![]() | 2 | D | 100.00 | 70 | 36 | 89 | 77 | 82 | 91 | 90 | 79 | 30 | 86 | 73 | 65 | 63 | 67 | 72 | 83 | 75 | 0 | 25 | 3,900,000$/1yrs | |||
![]() | 55 | D | 99.75 | 79 | 38 | 88 | 64 | 88 | 89 | 79 | 61 | 30 | 72 | 57 | 83 | 51 | 78 | 70 | 69 | 75 | 0 | 30 | 5,100,000$/3yrs | |||
![]() | 45 | D | 100.00 | 65 | 34 | 88 | 67 | 70 | 89 | 83 | 64 | 30 | 73 | 60 | 77 | 53 | 64 | 66 | 63 | 75 | 0 | 24 | 1,400,000$/1yrs | |||
![]() | 4 | D | 99.25 | 81 | 43 | 79 | 70 | 72 | 92 | 90 | 68 | 30 | 77 | 65 | 79 | 54 | 72 | 71 | 36 | 75 | 0 | 29 | 4,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 58 | C | 100.00 | 65 | 41 | 72 | 60 | 77 | 78 | 66 | 59 | 65 | 58 | 56 | 57 | 58 | 64 | 66 | 61 | 75 | 0 | 25 | ||||
![]() | 20 | D | 100.00 | 70 | 36 | 90 | 67 | 78 | 92 | 90 | 65 | 30 | 74 | 55 | 77 | 50 | 94 | 80 | 34 | 75 | 0 | 40 | 7,538,461$/1yrs | |||
TEAM AVERAGE | 99.60 | 76 | 47 | 80 | 69 | 82 | 86 | 85 | 68 | 59 | 71 | 65 | 76 | 62 | 72 | 72 | 59 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 96.50 | 95 | 93 | 88 | 82 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 72 | 83 | 52 | 75 | 0 | 29 | 6,000,000$/2yrs |
![]() | 85 | 100.00 | 85 | 89 | 85 | 78 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 64 | 71 | 62 | 75 | 0 | 24 | 812,500$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 90 | 91 | 87 | 80 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 68 | 77 | 57 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 89 | 85 | 91 | 84 | 90 | 84 | 56 | CAN | 60 | 1 | 2,750,000$ |
General Manager | Eric Leclerc |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby | 87 | C | 67 | 36 | 53 | 89 | 5 | 18 | 0 | 47 | 308 | 103 | 230 | 11.69% | 9 | 20.14 | 9 | 14 | 23 | 201 | 0 | 0 | 0 | 0 | 7 | 2 | 53.15% | 1874 | 0 | 0 | 0 | 1 | 1.32 | 0 | 3 | ||
2 | Tom Wilson | 0 | RW | 67 | 30 | 35 | 65 | 3 | 144 | 0 | 245 | 254 | 71 | 214 | 11.81% | 25 | 19.56 | 7 | 4 | 11 | 146 | 0 | 0 | 0 | 48 | 4 | 1 | 39.87% | 158 | 0 | 0 | 0 | 1 | 0.99 | 0 | 2 | ||
3 | Evan Bouchard | 2 | D | 68 | 11 | 46 | 57 | 8 | 54 | 0 | 80 | 111 | 43 | 85 | 9.91% | 45 | 20.86 | 7 | 8 | 15 | 205 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
4 | Anton Lundell | 15 | C | 67 | 18 | 33 | 51 | 15 | 8 | 0 | 29 | 168 | 51 | 107 | 10.71% | 10 | 17.43 | 3 | 5 | 8 | 158 | 0 | 0 | 0 | 48 | 0 | 2 | 51.79% | 1566 | 0 | 0 | 0 | 0 | 0.87 | 0 | 1 | ||
5 | Boone Jenner | 38 | C/LW | 61 | 25 | 24 | 49 | 19 | 32 | 0 | 119 | 222 | 76 | 162 | 11.26% | 6 | 21.42 | 3 | 4 | 7 | 171 | 0 | 0 | 0 | 191 | 5 | 0 | 57.63% | 236 | 0 | 0 | 0 | 0 | 0.75 | 0 | 2 | ||
6 | Neal Pionk | 4 | D | 68 | 11 | 38 | 49 | 3 | 108 | 0 | 144 | 97 | 41 | 62 | 11.34% | 84 | 23.46 | 8 | 10 | 18 | 194 | 0 | 1 | 1 | 247 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
7 | Dylan Samberg | 54 | D | 67 | 12 | 34 | 46 | 12 | 50 | 0 | 87 | 68 | 19 | 44 | 17.65% | 106 | 21.09 | 2 | 5 | 7 | 82 | 0 | 1 | 1 | 236 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
8 | Drake Batherson | 19 | RW | 68 | 18 | 27 | 45 | 9 | 24 | 0 | 62 | 217 | 68 | 142 | 8.29% | 3 | 18.38 | 3 | 9 | 12 | 207 | 0 | 0 | 0 | 22 | 1 | 2 | 42.52% | 127 | 0 | 0 | 0 | 0 | 0.72 | 0 | 2 | ||
9 | Noel Acciari | 0 | C/LW | 68 | 16 | 13 | 29 | -1 | 16 | 0 | 54 | 120 | 28 | 82 | 13.33% | 23 | 17.16 | 1 | 2 | 3 | 27 | 1 | 0 | 1 | 326 | 3 | 0 | 52.36% | 1673 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
10 | Scott Mayfield | 24 | D | 64 | 4 | 20 | 24 | -7 | 92 | 0 | 116 | 73 | 23 | 55 | 5.48% | 108 | 19.85 | 1 | 5 | 6 | 101 | 0 | 0 | 0 | 218 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
11 | Kevin Stenlund | 0 | C/RW | 68 | 13 | 9 | 22 | -3 | 28 | 0 | 64 | 102 | 25 | 64 | 12.75% | 16 | 14.06 | 0 | 3 | 3 | 21 | 0 | 0 | 0 | 204 | 1 | 0 | 51.43% | 140 | 0 | 0 | 1 | 0 | 0.46 | 0 | 0 | ||
12 | Matthew Knies | 23 | LW | 62 | 8 | 12 | 20 | 1 | 12 | 0 | 53 | 113 | 36 | 58 | 7.08% | 7 | 17.84 | 0 | 2 | 2 | 116 | 0 | 0 | 0 | 5 | 2 | 0 | 38.36% | 73 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
13 | Ryan Suter | 20 | D | 63 | 2 | 17 | 19 | -1 | 22 | 0 | 43 | 49 | 11 | 31 | 4.08% | 37 | 14.80 | 2 | 2 | 4 | 68 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
14 | Sean Kuraly | 52 | C/LW | 68 | 6 | 11 | 17 | -2 | 32 | 0 | 98 | 103 | 28 | 89 | 5.83% | 13 | 15.39 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 229 | 2 | 0 | 62.89% | 97 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
15 | Rasmus Ristolainen | 55 | D | 50 | 4 | 9 | 13 | 6 | 46 | 0 | 79 | 24 | 7 | 14 | 16.67% | 64 | 16.67 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 180 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Jordan Harris | 45 | D | 68 | 2 | 11 | 13 | 3 | 14 | 0 | 26 | 47 | 17 | 24 | 4.26% | 45 | 10.29 | 1 | 6 | 7 | 136 | 0 | 0 | 0 | 151 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
17 | Jack McBain | 22 | C | 68 | 1 | 6 | 7 | -2 | 10 | 0 | 44 | 37 | 11 | 39 | 2.70% | 3 | 4.87 | 1 | 4 | 5 | 39 | 0 | 0 | 0 | 39 | 0 | 1 | 50.74% | 203 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
18 | Tyson Jost | 17 | C/LW | 38 | 4 | 3 | 7 | -8 | 2 | 0 | 9 | 39 | 10 | 21 | 10.26% | 2 | 11.23 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 29.63% | 27 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
19 | Michael McCarron | 47 | C/RW | 68 | 1 | 1 | 2 | -2 | 31 | 5 | 27 | 30 | 6 | 19 | 3.33% | 3 | 3.19 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 64.10% | 39 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
Team Total or Average | 1218 | 222 | 402 | 624 | 58 | 743 | 5 | 1426 | 2182 | 674 | 1542 | 10.17% | 609 | 16.25 | 49 | 85 | 134 | 1996 | 1 | 2 | 3 | 2253 | 32 | 9 | 52.04% | 6213 | 0 | 0 | 1 | 2 | 0.63 | 0 | 10 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lukas Dostal | Panthers | 35 | 18 | 13 | 3 | 0.897 | 3.10 | 2016 | 0 | 1 | 104 | 1013 | 0 | 3 | 0 | 0.500 | 2 | 34 | 34 | 1 | 1 | 1 |
2 | Ilya Sorokin | Panthers | 37 | 14 | 18 | 2 | 0.901 | 3.43 | 2082 | 2 | 0 | 119 | 1208 | 0 | 0 | 0 | 0.667 | 6 | 34 | 34 | 2 | 2 | 1 |
Team Total or Average | 72 | 32 | 31 | 5 | 0.900 | 3.27 | 4098 | 2 | 1 | 223 | 2221 | 0 | 3 | 0 | 0.625 | 8 | 68 | 68 | 3 | 3 | 2 |
Projected Total Cap Hit | 76,003,793$ |
Projected Cap Space | 11,996,207$ |
Retains And Buyout Cap Hit | 2,333,333$ |
Salary Cap To Date | 61,827,840$ |
Players In Salary Cap | 25 |
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$ | 5,000,000$ | ||
Boone Jenner ![]() | C/LW/G | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Drake Batherson | RW | 26 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | RFA | ||||
Dylan Samberg | D | 26 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Evan Bouchard | D | 25 | 3,900,000$ | 3,900,000$ | RFA | ||||||
Ilya Sorokin ![]() | RW/G | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | RFA | |||||
Jack McBain | C | 25 | 1,599,999$ | 1,599,999$ | RFA | ||||||
Jordan Harris | D | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Kevin Stenlund | C/RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Lukas Dostal ![]() | RW/G | 24 | 812,500$ | 812,500$ | RFA | ||||||
Matthew Knies ![]() | LW | 22 | 925,000$ | 925,000$ | |||||||
Michael McCarron | C/RW | 30 | 900,000$ | 900,000$ | 900,000$ | ||||||
Neal Pionk | D | 29 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Noel Acciari ![]() | C/LW | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Rasmus Ristolainen | D | 30 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | |||||
Ryan Suter ![]() | D | 40 | 7,538,461$ | 1,000,000$ | UFA | ||||||
Scott Mayfield ![]() | D | 32 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |
Sean Kuraly | C/LW | 32 | 2,500,000$ | 2,500,000$ | |||||||
Sidney Crosby ![]() | C | 37 | 8,700,000$ | 3,000,000$ | UFA | ||||||
Tom Wilson ![]() | RW | 30 | 6,500,000$ | 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 | 775,000$ | 775,000$ | RFA | ||||||
Viktor Lodin ![]() | C | 25 | 0$ | RFA |
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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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1 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 19 | -8 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 3 | 4 | 3 | 1 | 128 | 35 | 43 | 49 | 1 | 152 | 36 | 36 | 93 | 14 | 4 | 28.57% | 16 | 3 | 81.25% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 89 | 60 | 98 | 28 | 52 | 25 | 30.4% | 8.6% | 87.5% | 96.1 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 4 | 1 | 0 | 59 | 25 | 20 | 14 | 0 | 70 | 20 | 30 | 35 | 6 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 44 | 28 | 50 | 15 | 25 | 12 | 53.8% | 11.9% | 87.1% | 99.0 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 3 | 0 | 68 | 23 | 19 | 26 | 0 | 63 | 19 | 22 | 38 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 46 | 31 | 48 | 15 | 25 | 11 | 50.0% | 7.4% | 90.5% | 97.8 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 2 | 0 | 61 | 24 | 15 | 22 | 0 | 64 | 21 | 14 | 35 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 47 | 32 | 45 | 15 | 27 | 13 | 66.7% | 13.1% | 92.2% | 105.3 | LUCKY | |
5 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 6 | 8 | -2 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 1 | 1 | 84 | 31 | 28 | 20 | 8 | 90 | 23 | 32 | 75 | 11 | 1 | 9.09% | 14 | 1 | 92.86% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 73 | 48 | 73 | 22 | 39 | 19 | 41.7% | 7.1% | 91.1% | 98.3 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 52 | 25 | 17 | 10 | 0 | 48 | 18 | 41 | 44 | 4 | 1 | 25.00% | 10 | 3 | 70.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 43 | 29 | 50 | 14 | 25 | 12 | 57.1% | 9.6% | 87.5% | 97.1 | FUN | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 0 | 1 | 46 | 18 | 11 | 14 | 3 | 61 | 17 | 20 | 37 | 6 | 2 | 33.33% | 9 | 3 | 66.67% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 42 | 27 | 53 | 15 | 24 | 11 | 37.5% | 10.9% | 86.9% | 97.8 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 19 | 14 | 19 | 0 | 62 | 15 | 18 | 48 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 47 | 32 | 48 | 15 | 24 | 11 | 66.7% | 7.7% | 93.5% | 101.2 | DULL | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 6 | 2 | 3 | 0 | 60 | 27 | 19 | 14 | 0 | 52 | 14 | 24 | 41 | 7 | 2 | 28.57% | 10 | 2 | 80.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 46 | 32 | 47 | 15 | 25 | 12 | 81.8% | 18.3% | 92.3% | 110.6 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 1 | 1 | 58 | 25 | 12 | 20 | 1 | 74 | 22 | 18 | 40 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 44 | 28 | 49 | 14 | 26 | 12 | 30.0% | 8.6% | 89.2% | 97.8 | Unlucky | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 3 | 1 | 1 | 0 | 71 | 18 | 31 | 22 | 0 | 52 | 13 | 28 | 35 | 9 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 51 | 36 | 42 | 16 | 26 | 12 | 71.4% | 7.0% | 94.2% | 101.3 | DULL | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 56 | 21 | 16 | 19 | 0 | 68 | 23 | 32 | 44 | 4 | 0 | 0.00% | 15 | 3 | 80.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 42 | 27 | 50 | 16 | 26 | 12 | 37.5% | 5.4% | 88.2% | 93.6 | Unlucky | |
13 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 2 | 4 | 3 | 1 | 97 | 27 | 36 | 33 | 1 | 110 | 28 | 46 | 68 | 6 | 1 | 16.67% | 21 | 4 | 80.95% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 68 | 46 | 75 | 23 | 39 | 19 | 60.0% | 10.3% | 90.9% | 101.2 | FUN | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 1 | 3 | 0 | 73 | 21 | 31 | 21 | 0 | 74 | 15 | 14 | 45 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 51 | 37 | 43 | 14 | 24 | 12 | 63.6% | 11.0% | 94.6% | 105.6 | LUCKY | |
15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 7 | 8 | 4 | 0.667 | 15 | 27 | 42 | 0 | 0 | 5 | 4 | 6 | 0 | 96 | 32 | 35 | 29 | 0 | 89 | 32 | 42 | 54 | 13 | 5 | 38.46% | 21 | 2 | 90.48% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 70 | 48 | 71 | 22 | 38 | 18 | 66.7% | 15.6% | 92.1% | 107.8 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 49 | 9 | 23 | 16 | 1 | 62 | 19 | 28 | 45 | 6 | 1 | 16.67% | 14 | 0 | 100.00% | 1 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 44 | 28 | 49 | 16 | 26 | 12 | 38.5% | 12.2% | 87.1% | 99.3 | FUN | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 0 | 4 | 6 | 0 | 115 | 38 | 47 | 30 | 0 | 119 | 26 | 30 | 66 | 6 | 1 | 16.67% | 15 | 4 | 73.33% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 69 | 46 | 72 | 21 | 38 | 18 | 56.3% | 8.7% | 90.8% | 99.5 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 53 | 10 | 24 | 19 | 0 | 72 | 26 | 20 | 40 | 4 | 1 | 25.00% | 10 | 3 | 70.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 45 | 29 | 48 | 15 | 25 | 12 | 36.4% | 9.4% | 86.1% | 95.5 | FUN | |
19 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 71 | 16 | 25 | 29 | 1 | 81 | 27 | 18 | 33 | 10 | 5 | 50.00% | 8 | 1 | 87.50% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 46 | 30 | 48 | 13 | 25 | 13 | 40.0% | 12.7% | 91.4% | 104.0 | LUCKY | |
20 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 66 | 26 | 18 | 20 | 5 | 68 | 22 | 14 | 39 | 14 | 4 | 28.57% | 7 | 1 | 85.71% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 48 | 32 | 50 | 16 | 26 | 13 | 33.3% | 10.6% | 89.7% | 100.3 | FUN | |
21 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 3 | 2 | 5 | 1 | 100 | 34 | 23 | 41 | 2 | 83 | 28 | 40 | 59 | 11 | 3 | 27.27% | 16 | 3 | 81.25% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 71 | 47 | 69 | 22 | 39 | 19 | 61.5% | 11.0% | 90.4% | 101.4 | FUN | |
22 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 0 | 74 | 23 | 25 | 24 | 6 | 52 | 17 | 10 | 48 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 51 | 35 | 46 | 15 | 26 | 13 | 63.6% | 12.2% | 90.4% | 102.5 | FUN | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 34 | 5 | 11 | 18 | 0 | 45 | 9 | 12 | 21 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 25 | 18 | 22 | 6 | 12 | 5 | 16.7% | 5.9% | 88.9% | 94.8 | Unlucky | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 62 | 20 | 15 | 27 | 0 | 75 | 14 | 24 | 47 | 9 | 1 | 11.11% | 12 | 0 | 100.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 45 | 29 | 47 | 15 | 26 | 12 | 36.4% | 8.1% | 90.7% | 98.7 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 70 | 20 | 22 | 28 | 0 | 64 | 17 | 24 | 36 | 6 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 50 | 36 | 47 | 14 | 21 | 10 | 54.5% | 8.6% | 87.5% | 96.1 | Unlucky | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 2 | 3 | 5 | 0 | 79 | 20 | 22 | 37 | 0 | 79 | 14 | 10 | 42 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 48 | 34 | 45 | 14 | 26 | 13 | 52.9% | 12.7% | 88.6% | 101.3 | FUN | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 30 | 8 | 7 | 15 | 0 | 27 | 7 | 12 | 26 | 1 | 1 | 100.00% | 6 | 1 | 83.33% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 22 | 14 | 22 | 7 | 14 | 7 | 60.0% | 13.3% | 88.9% | 102.2 | FUN | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 5 | 5 | 1 | 0 | 100 | 41 | 27 | 32 | 0 | 84 | 25 | 32 | 60 | 9 | 1 | 11.11% | 16 | 4 | 75.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 70 | 47 | 70 | 23 | 39 | 19 | 66.7% | 11.0% | 89.3% | 100.3 | FUN | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 82 | 26 | 30 | 26 | 0 | 62 | 14 | 14 | 53 | 17 | 3 | 17.65% | 7 | 2 | 71.43% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 53 | 37 | 42 | 15 | 23 | 12 | 50.0% | 8.5% | 90.3% | 98.9 | Unlucky | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 68 | 18 | 21 | 29 | 0 | 59 | 16 | 18 | 42 | 16 | 3 | 18.75% | 8 | 4 | 50.00% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 51 | 35 | 42 | 15 | 26 | 13 | 60.0% | 8.8% | 89.8% | 98.7 | Unlucky | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 70 | 28 | 18 | 24 | 0 | 60 | 12 | 24 | 40 | 8 | 1 | 12.50% | 11 | 4 | 63.64% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 44 | 30 | 49 | 15 | 26 | 12 | 55.6% | 8.6% | 86.7% | 95.2 | Unlucky | |
_Vs Division | 17 | 7 | 7 | 0 | 2 | 1 | 0 | 0 | 55 | 61 | -6 | 19 | 0.559 | 55 | 99 | 154 | 0 | 0 | 15 | 20 | 18 | 2 | 556 | 170 | 172 | 211 | 3 | 592 | 156 | 190 | 365 | 54 | 14 | 25.93% | 89 | 15 | 83.15% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 388 | 259 | 412 | 128 | 223 | 109 | 47.1% | 9.9% | 89.7% | 99.6 | FUN | |
_Vs Conference | 37 | 15 | 14 | 0 | 5 | 1 | 0 | 2 | 132 | 121 | 11 | 43 | 0.581 | 132 | 235 | 367 | 0 | 0 | 41 | 39 | 47 | 5 | 1210 | 393 | 382 | 420 | 22 | 1217 | 327 | 398 | 787 | 121 | 31 | 25.62% | 183 | 32 | 82.51% | 0 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 861 | 579 | 892 | 278 | 482 | 236 | 53.2% | 10.9% | 90.1% | 101.0 | FUN | |
_Since Last GM Reset | 68 | 26 | 31 | 0 | 6 | 2 | 0 | 3 | 222 | 226 | -4 | 69 | 0.507 | 222 | 402 | 624 | 0 | 1 | 79 | 64 | 73 | 6 | 2184 | 713 | 705 | 747 | 29 | 2221 | 609 | 747 | 1429 | 243 | 49 | 20.16% | 338 | 63 | 81.36% | 1 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 1598 | 1080 | 1626 | 516 | 879 | 430 | 51.5% | 10.2% | 89.8% | 100.0 | FUN | |
Total | 68 | 26 | 31 | 0 | 6 | 2 | 0 | 3 | 222 | 226 | -4 | 69 | 0.507 | 222 | 402 | 624 | 0 | 1 | 79 | 64 | 73 | 6 | 2184 | 713 | 705 | 747 | 29 | 2221 | 609 | 747 | 1429 | 243 | 49 | 20.16% | 338 | 63 | 81.36% | 1 | 1330 | 2547 | 52.22% | 1313 | 2546 | 51.57% | 590 | 1084 | 54.43% | 1598 | 1080 | 1626 | 516 | 879 | 430 | 51.5% | 10.2% | 89.8% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2547 |
Neutral Zone Start | 1084 |
Defensive Zone Start | 2546 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3233 |
Faceoffs Lost | 2944 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 172 |
---|---|
PP Goal | 49 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 21 | 11 |
Lost | 11 | 20 |
Overtime Lost | 2 | 3 |
PP Attempt | 243 |
---|---|
PP Goal | 49 |
PK Attempt | 338 |
PK Goal Against | 63 |
Home | |
---|---|
Shots For | 32.1 |
Shots Against | 32.7 |
Goals For | 3.3 |
Goals Against | 3.3 |
Hits | 21.0 |
Shots Blocked | 9.0 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-08 | @ | Bruins4,Panthers2 | RECAP | |||||||||||
2024-10-10 | @ | Panthers1,Senators4 | RECAP | |||||||||||
2024-10-12 | @ | Panthers2,Sabres4 | RECAP | |||||||||||
2024-10-14 | @ | Panthers5,Bruins4 (OT) | RECAP | |||||||||||
2024-10-15 | @ | Panthers2,Blue Jackets3 (SO) | RECAP | |||||||||||
2024-10-17 | @ | Canucks1,Panthers5 | RECAP | |||||||||||
2024-10-19 | @ | Golden Knights3,Panthers4 | RECAP | |||||||||||
2024-10-22 | @ | Wild5,Panthers4 | RECAP | |||||||||||
2024-10-24 | @ | Panthers6,Rangers4 | RECAP | |||||||||||
2024-10-26 | @ | Panthers2,Islanders4 | RECAP | |||||||||||
2024-10-28 | @ | Panthers4,Sabres3 (OT) | RECAP | |||||||||||
2024-11-01 | @ | Panthers0,Stars3 | RECAP | |||||||||||
2024-11-02 | @ | Stars5,Panthers3 | RECAP | |||||||||||
2024-11-07 | @ | Predators1,Panthers3 | RECAP | |||||||||||
2024-11-09 | @ | Flyers3,Panthers1 | RECAP | |||||||||||
2024-11-12 | @ | Devils1,Panthers7 | RECAP | |||||||||||
2024-11-14 | @ | Devils2,Panthers6 | RECAP | |||||||||||
2024-11-16 | @ | Jets0,Panthers4 | RECAP | |||||||||||
2024-11-19 | @ | Panthers1,Jets3 | RECAP | |||||||||||
2024-11-21 | @ | Panthers5,Blackhawks6 | RECAP | |||||||||||
2024-11-23 | @ | Avalanche3,Panthers4 | RECAP | |||||||||||
2024-11-25 | @ | Capitals2,Panthers5 | RECAP | |||||||||||
2024-11-27 | @ | Maple Leafs2,Panthers3 | RECAP | |||||||||||
2024-11-29 | @ | Panthers1,Hurricanes3 | RECAP | |||||||||||
2024-11-30 | @ | Hurricanes4,Panthers3 | RECAP | |||||||||||
2024-12-03 | @ | Panthers4,Penguins3 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Panthers4,Flyers3 (OT) | RECAP | |||||||||||
2024-12-07 | @ | Sharks1,Panthers3 | RECAP | |||||||||||
2024-12-10 | @ | Panthers3,Kraken1 | RECAP | |||||||||||
2024-12-12 | @ | Panthers3,Canucks4 | RECAP | |||||||||||
2024-12-14 | @ | Panthers4,Flames1 | RECAP | |||||||||||
2024-12-16 | @ | Panthers4,Oilers5 (SO) | RECAP | |||||||||||
2024-12-18 | @ | Panthers2,Wild3 | RECAP | |||||||||||
2024-12-20 | @ | Blues1,Panthers2 | RECAP | |||||||||||
2024-12-22 | @ | Panthers3,Lightning2 | RECAP | |||||||||||
2024-12-23 | @ | Lightning6,Panthers3 | RECAP | |||||||||||
2024-12-28 | @ | Canadiens6,Panthers5 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Rangers5,Panthers4 | RECAP | |||||||||||
2025-01-02 | @ | Hurricanes4,Panthers6 | RECAP | |||||||||||
2025-01-03 | @ | Penguins5,Panthers1 | RECAP | |||||||||||
2025-01-06 | @ | Panthers3,Avalanche6 | RECAP | |||||||||||
2025-01-08 | @ | Panthers2,Hockey Club5 | RECAP | |||||||||||
2025-01-11 | @ | Bruins6,Panthers1 | RECAP | |||||||||||
2025-01-13 | @ | Panthers1,Flyers2 (SO) | RECAP | |||||||||||
2025-01-14 | @ | Panthers2,Devils4 | RECAP | |||||||||||
2025-01-16 | @ | Red Wings3,Panthers4 | RECAP | |||||||||||
2025-01-18 | @ | Ducks3,Panthers4 (OT) | RECAP | |||||||||||
2025-01-21 | @ | Panthers1,Ducks5 | RECAP | |||||||||||
2025-01-22 | @ | Panthers3,Kings5 | RECAP | |||||||||||
2025-01-25 | @ | Panthers4,Sharks5 | RECAP | |||||||||||
2025-01-26 | @ | Panthers2,Golden Knights3 | RECAP | |||||||||||
2025-01-29 | @ | Kings5,Panthers2 | RECAP | |||||||||||
2025-02-01 | @ | Blackhawks2,Panthers1 (OT) | RECAP | |||||||||||
2025-02-02 | @ | Islanders2,Panthers6 | RECAP | |||||||||||
2025-02-04 | @ | Panthers6,Capitals2 | RECAP | |||||||||||
2025-02-06 | @ | Panthers2,Blues3 | RECAP | |||||||||||
2025-02-08 | @ | Senators3,Panthers4 | RECAP | |||||||||||
2025-02-22 | @ | Kraken7,Panthers3 | RECAP | |||||||||||
2025-02-25 | @ | Panthers2,Predators5 | RECAP | |||||||||||
2025-02-27 | @ | Oilers2,Panthers3 | RECAP | |||||||||||
2025-03-01 | @ | Flames3,Panthers4 | RECAP | |||||||||||
2025-03-03 | @ | Lightning1,Panthers5 | RECAP | |||||||||||
2025-03-06 | @ | Blue Jackets2,Panthers7 | RECAP | |||||||||||
2025-03-08 | @ | Sabres3,Panthers4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Panthers3,Bruins5 | RECAP | |||||||||||
2025-03-13 | @ | Panthers2,Maple Leafs4 | RECAP | |||||||||||
2025-03-15 | @ | Panthers4,Canadiens1 | RECAP | |||||||||||
2025-03-16 | @ | Panthers3,Islanders2 (OT) | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
66,137,499$ | 2,333,333$ | 76,003,793$ | 11,996,207$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 164840 | 137652 | 69027 | 108083 | 32244 |
Attendance PCT | 77.57% | 80.97% | 67.67% | 79.47% | 94.84% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 15054 - 78.20% | 1,889,712$ | 64,250,220$ | 19250 | 85 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
66,137,499$ | 74,875,956$ | 0$ | 2,333,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
57,187,056$ | 382,020$ | 61,827,840$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,227,986$ | 31 | 351,467$ | 10,895,477$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,255,267$ | 76,003,793$ | 151,633,974$ | 153,823,247$ |
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 |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Artur Kayumov | 2016 | 65 | |||
Artyom Galimov | 2020 | 136 | |||
Ben Robertson | 2024 | 223 | |||
Brady Cleveland | 2023 | 85 | |||
Calum Ritchie | 2023 | 21 | |||
Cameron MacDonald | 2021 | 173 | |||
Carson Latimer | 2021 | 134 | |||
Carson Rehkopf | 2023 | 53 | |||
Cole Shepard | 2020 | 167 | |||
Danil Savunov | 2019 | 180 | |||
Egor Afanasyev | |||||
Emil Hemming | 2024 | 31 | |||
Ethan Miedema | 2023 | 88 | |||
Francesco Dell'elce | 2023 | 181 | |||
Herman Traff | 2024 | 95 | |||
Jacob Holmes | 2021 | 153 | |||
Jake Chiasson | 2021 | 120 | |||
Jake Sloan | 2022 | 141 | |||
Kirill Kudryavtsev | 2022 | 109 | ELC 2023-24 (slide) | Link | |
Konnor Smith | 2023 | 149 | |||
Kristers Steinbergs | 2023 | 160 | |||
Lucas Van Vliet | 2024 | 191 | |||
Ludvig Jansson | 2022 | 173 | |||
Roman Kukumberg | 2023 | 213 | |||
Semyon Vyazovoi | 2021 | 178 | |||
Tyler Brennan | 2022 | 45 | |||
Veit Oswald | 2024 | 159 |
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