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Full Scoreboard »» |
Florida Panthers 26-39-6, 58pts · 14th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 97.00 | 81 | 35 | 64 | 77 | 78 | 85 | 84 | 75 | 60 | 78 | 77 | 58 | 76 | 66 | 62 | 0 | 32 | 84 | 25 | 7,750,000$/5yrs | |||
![]() | 0 | RW | 96.00 | 87 | 55 | 50 | 68 | 89 | 85 | 82 | 69 | 59 | 66 | 74 | 83 | 71 | 77 | 72 | 0 | 34 | 82 | 31 | 6,500,000$/7yrs | |||
![]() | 0 | C | 98.00 | 73 | 33 | 83 | 70 | 78 | 85 | 74 | 70 | 84 | 66 | 75 | 69 | 72 | 67 | 66 | 0 | 32 | 80 | 25 | 7,250,000$/4yrs | |||
![]() | 0 | C/LW | 98.00 | 56 | 33 | 94 | 71 | 78 | 82 | 89 | 68 | 61 | 68 | 73 | 69 | 71 | 69 | 68 | 0 | 39 | 79 | 26 | 2,600,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 40 | 69 | 67 | 85 | 81 | 88 | 68 | 59 | 70 | 70 | 60 | 69 | 74 | 71 | 0 | 37 | 78 | 29 | 3,700,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 32 | 91 | 72 | 69 | 79 | 84 | 68 | 59 | 70 | 69 | 56 | 69 | 62 | 62 | 0 | 33 | 77 | 23 | 4,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 38 | 80 | 61 | 80 | 80 | 89 | 59 | 61 | 59 | 65 | 77 | 62 | 71 | 69 | 0 | 35 | 75 | 28 | 3,500,000$/4yrs | |||
![]() | 52 | LW/RW | 100.00 | 64 | 33 | 93 | 62 | 82 | 76 | 80 | 63 | 58 | 64 | 64 | 61 | 64 | 74 | 73 | 0 | 38 | 74 | 29 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 37 | 96 | 60 | 72 | 69 | 69 | 63 | 71 | 61 | 62 | 67 | 61 | 68 | 68 | 0 | 33 | 72 | 27 | 3,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 37 | 74 | 59 | 73 | 77 | 89 | 60 | 77 | 63 | 59 | 58 | 60 | 64 | 61 | 0 | 19 | 71 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 38 | 85 | 59 | 68 | 75 | 82 | 61 | 81 | 65 | 60 | 59 | 61 | 65 | 64 | 0 | 31 | 71 | 25 | 2,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 37 | 99 | 52 | 67 | 59 | 66 | 58 | 63 | 48 | 50 | 61 | 49 | 55 | 55 | 0 | 20 | 63 | 20 | 950,000$/2yrs | |||
![]() | 0 | D | 96.00 | 71 | 34 | 84 | 66 | 86 | 97 | 87 | 67 | 30 | 70 | 65 | 81 | 66 | 76 | 84 | 0 | 25 | 83 | 30 | 9,500,000$/6yrs | |||
![]() | 0 | D | 98.00 | 76 | 33 | 92 | 64 | 82 | 83 | 71 | 61 | 30 | 67 | 54 | 63 | 57 | 64 | 63 | 0 | 44 | 76 | 24 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 40 | 67 | 62 | 79 | 82 | 76 | 59 | 30 | 66 | 59 | 61 | 59 | 66 | 62 | 0 | 34 | 74 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 32 | 84 | 60 | 75 | 81 | 85 | 57 | 30 | 63 | 57 | 61 | 57 | 66 | 65 | 0 | 42 | 73 | 25 | 2,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 32 | 81 | 57 | 70 | 88 | 81 | 51 | 30 | 60 | 57 | 62 | 54 | 62 | 60 | 0 | 51 | 70 | 23 | 903,333$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 4 | D | 94.00 | 64 | 33 | 84 | 79 | 77 | 97 | 88 | 73 | 30 | 85 | 64 | 68 | 69 | 67 | 75 | 0 | 36 | 87 | 25 | 8,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 85 | 42 | 50 | 45 | 77 | 60 | 69 | 45 | 30 | 50 | 48 | 65 | 49 | 62 | 57 | 0 | 20 | 64 | 24 | ||||
TEAM AVERAGE | 98.79 | 70 | 37 | 80 | 64 | 77 | 80 | 81 | 63 | 53 | 65 | 63 | 65 | 63 | 67 | 66 | 0 | 33 | 75 |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 77 | 61 | 65 | 87 | 67 | 60 | 69 | 72 | 60 | 75 | 69 | 61 | 64 | 0 | 25 | 73 | 22 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 94.00 | 83 | 77 | 73 | 83 | 77 | 67 | 78 | 79 | 78 | 79 | 78 | 69 | 73 | 0 | 19 | 81 | 26 | 775,000$/5yrs |
TEAM AVERAGE | 97.00 | 80 | 69 | 69 | 85 | 72 | 64 | 74 | 76 | 69 | 77 | 74 | 65 | 69 | 0 | 22 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Arniel | 63 | 66 | 69 | 66 | 89 | 83 | 57 | CAN | 62 | 5 | 1,000,000$ |
General Manager | Jean Francois Barette |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Josh Norris | 0 | C | 71 | 21 | 40 | 61 | -4 | 27 | 5 | 35 | 207 | 67 | 152 | 10.14% | 13 | 19.53 | 5 | 10 | 15 | 240 | 0 | 0 | 0 | 80 | 3 | 1 | 50.29% | 1865 | 0 | 0 | 0 | 0 | 0.88 | 2 | 3 | |
2 | Andrei Svechnikov | 0 | LW/RW | 71 | 28 | 30 | 58 | -5 | 66 | 0 | 160 | 245 | 60 | 159 | 11.43% | 4 | 19.60 | 8 | 10 | 18 | 240 | 0 | 0 | 0 | 87 | 5 | 0 | 43.69% | 222 | 0 | 0 | 0 | 2 | 0.83 | 3 | 5 | |
3 | Miro Heiskanen | 4 | D | 71 | 9 | 46 | 55 | -13 | 64 | 0 | 158 | 122 | 40 | 87 | 7.38% | 94 | 25.20 | 4 | 13 | 17 | 263 | 0 | 0 | 0 | 298 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | |
4 | Tom Wilson | 0 | RW | 71 | 26 | 23 | 49 | -1 | 97 | 5 | 300 | 206 | 51 | 155 | 12.62% | 33 | 20.82 | 7 | 8 | 15 | 218 | 1 | 0 | 1 | 281 | 2 | 2 | 41.01% | 139 | 0 | 0 | 0 | 0 | 0.66 | 0 | 3 | |
5 | Yegor Sharangovich | 0 | C/LW | 71 | 17 | 20 | 37 | -12 | 0 | 0 | 8 | 233 | 76 | 155 | 7.30% | 12 | 17.54 | 5 | 8 | 13 | 257 | 0 | 0 | 0 | 40 | 3 | 1 | 37.35% | 166 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
6 | Seth Jones | 0 | D | 67 | 12 | 25 | 37 | -22 | 64 | 0 | 96 | 133 | 37 | 74 | 9.02% | 118 | 22.98 | 8 | 4 | 12 | 184 | 0 | 1 | 1 | 219 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
7 | Mason Marchment | 0 | C/LW/RW | 71 | 17 | 17 | 34 | -24 | 46 | 0 | 159 | 171 | 33 | 93 | 9.94% | 7 | 15.70 | 4 | 5 | 9 | 213 | 0 | 0 | 0 | 1 | 0 | 1 | 43.84% | 73 | 0 | 0 | 0 | 0 | 0.61 | 1 | 1 | |
8 | Thomas Novak | 0 | C | 71 | 12 | 17 | 29 | -12 | 2 | 0 | 2 | 126 | 27 | 78 | 9.52% | 10 | 17.48 | 1 | 5 | 6 | 167 | 0 | 0 | 0 | 119 | 1 | 2 | 44.74% | 1567 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
9 | Cole Perfetti | 0 | C/LW | 71 | 7 | 10 | 17 | -21 | 8 | 0 | 45 | 117 | 28 | 93 | 5.98% | 4 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 39.34% | 183 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Pierre-Olivier Joseph | 0 | D | 71 | 1 | 14 | 15 | -27 | 46 | 0 | 84 | 17 | 8 | 13 | 5.88% | 73 | 13.53 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
11 | Michael Kesselring | 0 | D | 71 | 2 | 12 | 14 | -9 | 104 | 0 | 170 | 38 | 12 | 20 | 5.26% | 76 | 17.88 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 155 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
12 | Kaedan Korczak | 0 | D | 71 | 1 | 13 | 14 | -28 | 69 | 5 | 90 | 63 | 18 | 41 | 1.59% | 89 | 17.95 | 0 | 3 | 3 | 190 | 0 | 0 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
13 | Jack Drury | 0 | C | 71 | 2 | 10 | 12 | -15 | 8 | 0 | 17 | 50 | 11 | 33 | 4.00% | 10 | 11.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 50.42% | 962 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
14 | Yakov Trenin | 0 | C/LW | 71 | 5 | 5 | 10 | -13 | 22 | 0 | 68 | 78 | 15 | 57 | 6.41% | 17 | 10.59 | 0 | 0 | 0 | 9 | 0 | 1 | 1 | 298 | 0 | 0 | 45.08% | 579 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
15 | Hudson Fasching | 52 | LW/RW | 71 | 5 | 2 | 7 | -6 | 0 | 0 | 14 | 38 | 10 | 39 | 13.16% | 3 | 6.75 | 0 | 0 | 0 | 47 | 0 | 0 | 0 | 11 | 0 | 0 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
16 | Peyton Krebs | 0 | C/LW | 56 | 2 | 2 | 4 | -11 | 4 | 0 | 23 | 30 | 9 | 19 | 6.67% | 3 | 6.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.76% | 245 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
17 | Emil Andrae | 0 | D | 9 | 0 | 1 | 1 | -4 | 14 | 0 | 15 | 1 | 2 | 0 | 0.00% | 10 | 15.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
18 | Jonathan Lekkerimaki | 0 | C/RW | 12 | 0 | 0 | 0 | -7 | 0 | 0 | 0 | 6 | 1 | 7 | 0.00% | 0 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1138 | 167 | 287 | 454 | -234 | 641 | 15 | 1444 | 1881 | 505 | 1275 | 8.88% | 576 | 16.03 | 42 | 66 | 108 | 2066 | 1 | 2 | 3 | 1759 | 19 | 9 | 46.96% | 6035 | 0 | 0 | 0 | 2 | 0.50 | 6 | 15 |
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 | Joseph Woll | 38 | 13 | 18 | 4 | 0.885 | 3.77 | 1926 | 6 | 0 | 121 | 1052 | 0 | 1 | 0 | 0.722 | 18 | 34 | 34 | 1 | 2 | 0 | |
2 | Jesper Wallstedt | 25 | 6 | 14 | 0 | 0.891 | 3.72 | 1307 | 0 | 0 | 81 | 742 | 0 | 1 | 0 | 0.000 | 0 | 20 | 25 | 1 | 0 | 1 | |
Team Total or Average | 63 | 19 | 32 | 4 | 0.887 | 3.75 | 3234 | 6 | 0 | 202 | 1794 | 0 | 2 | 0 | 0.722 | 18 | 54 | 59 | 2 | 2 | 1 |
Projected Total Cap Hit | 71,437,830$ |
Projected Cap Space | 16,562,170$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 63,634,480$ |
Players In Salary Cap | 18 |
LTIR Players | 2 |
Panthers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Svechnikov ![]() | LW/RW | 25 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
Cole Perfetti ![]() | C/LW | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Emil Andrae ![]() | D | 23 | 903,333$ | 903,333$ | 903,333$ | RFA | |||||
Hudson Fasching ![]() | LW/RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jack Drury ![]() | C | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Jesper Wallstedt ![]() | G | 22 | 925,000$ | 925,000$ | RFA | ||||||
Jonathan Lekkerimaki ![]() | C/RW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Joseph Woll ![]() ![]() | G | 26 | 775,000$ | 775,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||
Josh Norris ![]() | C | 25 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||
Kaedan Korczak ![]() | D | 24 | 825,000$ | 825,000$ | 825,000$ | ||||||
Mason Marchment ![]() | C/LW/RW | 29 | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | ||||
Michael Kesselring ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Miro Heiskanen ![]() ![]() | D | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Nikita Okhotyuk ![]() | D | 24 | 0$ | RFA | |||||||
Peyton Krebs ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Pierre-Olivier Joseph ![]() | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Seth Jones ![]() | D | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Thomas Novak ![]() | C | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 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$ | 6,500,000$ | UFA |
Yakov Trenin ![]() | C/LW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Yegor Sharangovich ![]() | C/LW | 26 | 2,600,000$ | 2,600,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie ![]() | C | 26 | 0$ | ![]() | |||||||
Adam Brooks ![]() | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Adam Jiricek ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Adam Sykora ![]() | LW/RW | 20 | 870,000$ | 870,000$ | RFA | ||||||
Albin Grewe ![]() | LW | 24 | 0$ | RFA | |||||||
Axel Andersson ![]() | D | 25 | 0$ | ![]() | |||||||
Blade Jenkins ![]() | LW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Caedan Bankier ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Cavan Fitzgerald ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Chad Krys ![]() | D | 26 | 0$ | ![]() | |||||||
Colton Dach ![]() | C/LW | 22 | 847,500$ | 847,500$ | RFA | ||||||
Daniil Gushchin ![]() | LW | 23 | 828,333$ | 828,333$ | RFA | ||||||
Dylan Wells ![]() | G | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Francesco Pinelli ![]() | C | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Gage Goncalves ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Helge Grans ![]() | D | 22 | 847,500$ | 847,500$ | RFA | ||||||
Isak Rosen ![]() | RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
J.C. Beaudin ![]() | C | 28 | 0$ | UFA | |||||||
Jack Kopacka ![]() | LW | 27 | 0$ | ![]() | |||||||
Jakub Brabenec ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Jeremy Davies ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Joona Luoto ![]() | LW/RW | 27 | 0$ | ![]() | |||||||
Jordan Sambrook ![]() | D | 26 | 0$ | ![]() | |||||||
Keith Petruzzelli ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Landon Slaggert ![]() | LW | 22 | 775,000$ | 775,000$ | RFA | ||||||
Leon Gawanke ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Niklas Kokko ![]() | G | 21 | 891,666$ | 891,666$ | 891,666$ | 891,666$ | RFA | ||||
Oskari Salminen ![]() | G | 25 | 0$ | ![]() | |||||||
Ozzy Wiesblatt ![]() | RW | 23 | 835,833$ | 835,833$ | RFA | ||||||
Reid Schaefer ![]() | LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Semyon Der-Arguchintsev ![]() | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Tye Felhaber ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Vasily Podkolzin ![]() | LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Victor Mete ![]() | D | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Yan Kuznetsov ![]() | D | 23 | 775,000$ | 775,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 64 | 20 | 21 | 23 | 0 | 55 | 20 | 12 | 50 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 47 | 33 | 45 | 15 | 26 | 12 | 50.0% | 7.8% | 90.9% | 98.7 | Unlucky | |
2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 2 | 0 | 99 | 25 | 39 | 35 | 0 | 127 | 30 | 40 | 60 | 13 | 2 | 15.38% | 20 | 5 | 75.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 64 | 40 | 77 | 22 | 38 | 18 | 31.3% | 7.1% | 87.4% | 94.5 | Unlucky | |
3 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 86 | 17 | 34 | 29 | 6 | 104 | 35 | 32 | 74 | 14 | 2 | 14.29% | 15 | 0 | 100.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 68 | 46 | 76 | 23 | 38 | 18 | 30.0% | 5.8% | 93.3% | 99.1 | DULL | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 3 | 0 | 2 | 0 | 53 | 14 | 17 | 22 | 0 | 50 | 17 | 25 | 37 | 5 | 3 | 60.00% | 10 | 2 | 80.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 44 | 28 | 49 | 16 | 26 | 12 | 25.0% | 9.4% | 84.0% | 93.4 | FUN | |
5 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 2 | 1 | 93 | 25 | 31 | 35 | 2 | 90 | 20 | 24 | 71 | 15 | 4 | 26.67% | 11 | 3 | 72.73% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 72 | 49 | 69 | 22 | 38 | 19 | 40.0% | 8.6% | 90.0% | 98.6 | Unlucky | |
6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 12 | -3 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 2 | 1 | 108 | 39 | 34 | 29 | 11 | 92 | 24 | 28 | 74 | 14 | 1 | 7.14% | 14 | 5 | 64.29% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 74 | 51 | 72 | 20 | 37 | 19 | 53.3% | 8.3% | 87.0% | 95.3 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 3 | 0 | 0 | 65 | 21 | 27 | 17 | 0 | 57 | 11 | 16 | 32 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 47 | 32 | 47 | 15 | 25 | 12 | 66.7% | 10.8% | 91.2% | 102.0 | LUCKY | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 20 | 22 | 12 | 0 | 79 | 30 | 22 | 45 | 4 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 41 | 27 | 52 | 14 | 25 | 12 | 0.0% | 0.0% | 89.9% | 89.9 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 26 | 12 | 4 | 10 | 0 | 33 | 13 | 6 | 14 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 20 | 14 | 26 | 7 | 12 | 6 | 75.0% | 15.4% | 93.9% | 109.3 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 4 | 1 | 0 | 60 | 21 | 25 | 14 | 0 | 56 | 21 | 18 | 44 | 7 | 3 | 42.86% | 8 | 1 | 87.50% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 44 | 29 | 50 | 15 | 24 | 12 | 50.0% | 15.0% | 87.5% | 102.5 | FUN | |
11 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 12 | 9 | 3 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 3 | 4 | 3 | 2 | 89 | 17 | 34 | 35 | 5 | 126 | 35 | 38 | 75 | 7 | 2 | 28.57% | 18 | 2 | 88.89% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 69 | 46 | 80 | 22 | 36 | 17 | 58.8% | 13.5% | 92.9% | 106.3 | LUCKY | |
12 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 46 | 16 | 12 | 17 | 1 | 72 | 16 | 18 | 50 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 48 | 33 | 51 | 15 | 25 | 12 | 50.0% | 6.5% | 93.1% | 99.6 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 67 | 19 | 18 | 30 | 0 | 70 | 22 | 20 | 51 | 7 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 46 | 32 | 48 | 14 | 24 | 12 | 55.6% | 7.5% | 90.0% | 97.5 | Unlucky | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 5 | 2 | 0 | 69 | 15 | 30 | 24 | 0 | 63 | 16 | 20 | 39 | 10 | 3 | 30.00% | 10 | 2 | 80.00% | 1 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 49 | 33 | 45 | 14 | 24 | 12 | 62.5% | 11.6% | 92.1% | 103.7 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 75 | 26 | 26 | 23 | 0 | 54 | 16 | 14 | 46 | 11 | 1 | 9.09% | 6 | 0 | 100.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 51 | 36 | 44 | 14 | 24 | 12 | 50.0% | 8.0% | 90.7% | 98.7 | Unlucky | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 88 | 35 | 25 | 28 | 0 | 79 | 21 | 22 | 71 | 18 | 3 | 16.67% | 10 | 3 | 70.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 76 | 53 | 67 | 21 | 35 | 19 | 20.0% | 5.7% | 86.1% | 91.8 | Unlucky | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 10 | -4 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 2 | 73 | 18 | 25 | 26 | 9 | 77 | 25 | 20 | 54 | 6 | 1 | 16.67% | 9 | 4 | 55.56% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 49 | 33 | 48 | 15 | 26 | 12 | 45.5% | 8.2% | 87.0% | 95.2 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 40 | 12 | 18 | 10 | 0 | 71 | 17 | 30 | 53 | 3 | 0 | 0.00% | 14 | 4 | 71.43% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 45 | 28 | 49 | 14 | 25 | 12 | 44.4% | 10.0% | 87.3% | 97.3 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 7 | 12 | 5 | 0 | 40 | 14 | 12 | 27 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 22 | 14 | 25 | 7 | 12 | 5 | 0.0% | 4.2% | 87.5% | 91.7 | Unlucky | |
20 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 17 | -5 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 4 | 7 | 0 | 1 | 113 | 33 | 39 | 40 | 1 | 137 | 44 | 34 | 84 | 14 | 2 | 14.29% | 16 | 5 | 68.75% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 90 | 61 | 101 | 30 | 47 | 23 | 45.5% | 10.6% | 87.6% | 98.2 | FUN | |
21 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 91 | 30 | 37 | 24 | 0 | 100 | 39 | 30 | 66 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 65 | 43 | 77 | 23 | 37 | 17 | 40.0% | 7.7% | 88.0% | 95.7 | Unlucky | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 3 | 1 | 3 | 0 | 50 | 12 | 22 | 16 | 0 | 83 | 21 | 22 | 55 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 41 | 24 | 52 | 15 | 25 | 12 | 45.5% | 14.0% | 91.6% | 105.6 | LUCKY | |
23 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 17 | -11 | 1 | 0.167 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 80 | 31 | 17 | 32 | 0 | 136 | 41 | 28 | 75 | 13 | 3 | 23.08% | 14 | 4 | 71.43% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 61 | 41 | 82 | 22 | 36 | 17 | 18.8% | 7.5% | 87.5% | 95.0 | Unlucky | |
24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 64 | 23 | 30 | 11 | 0 | 46 | 24 | 20 | 31 | 9 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 52 | 37 | 42 | 14 | 26 | 13 | 55.6% | 7.8% | 84.8% | 92.6 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 60 | 16 | 26 | 18 | 0 | 60 | 16 | 34 | 42 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 47 | 32 | 48 | 14 | 24 | 11 | 11.1% | 3.3% | 85.0% | 88.3 | Unlucky | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 1 | 4 | 3 | 0 | 50 | 17 | 19 | 14 | 0 | 62 | 17 | 22 | 40 | 6 | 1 | 16.67% | 11 | 2 | 81.82% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 41 | 25 | 54 | 15 | 24 | 11 | 50.0% | 16.0% | 85.5% | 101.5 | FUN | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 42 | 17 | 16 | 9 | 0 | 55 | 25 | 14 | 46 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 43 | 28 | 52 | 16 | 23 | 11 | 44.4% | 11.9% | 89.1% | 101.0 | FUN | |
28 | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 8 | 11 | -3 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 3 | 1 | 64 | 16 | 24 | 22 | 7 | 112 | 31 | 40 | 56 | 13 | 0 | 0.00% | 20 | 5 | 75.00% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 66 | 42 | 81 | 24 | 39 | 18 | 57.1% | 12.5% | 90.2% | 102.7 | FUN | |
29 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 4 | 1 | 1 | 73 | 29 | 23 | 16 | 5 | 55 | 25 | 19 | 42 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 46 | 33 | 49 | 13 | 25 | 12 | 66.7% | 11.0% | 89.1% | 100.0 | FUN | |
30 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 3 | 1 | 66 | 23 | 17 | 24 | 4 | 73 | 15 | 22 | 41 | 4 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 41 | 28 | 57 | 15 | 25 | 12 | 58.3% | 10.6% | 90.4% | 101.0 | FUN | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 2 | 0 | 59 | 21 | 20 | 18 | 0 | 67 | 14 | 6 | 52 | 11 | 3 | 27.27% | 3 | 1 | 66.67% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 49 | 34 | 47 | 14 | 23 | 12 | 20.0% | 8.5% | 86.6% | 95.0 | Unlucky | |
_Vs Division | 17 | 6 | 10 | 0 | 1 | 0 | 0 | 0 | 47 | 63 | -16 | 14 | 0.412 | 47 | 89 | 136 | 1 | 0 | 20 | 16 | 10 | 1 | 473 | 162 | 163 | 147 | 1 | 510 | 180 | 149 | 362 | 69 | 14 | 20.29% | 68 | 16 | 76.47% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 385 | 260 | 426 | 130 | 208 | 102 | 41.3% | 9.9% | 87.6% | 97.6 | FUN | |
_Vs Conference | 40 | 8 | 23 | 0 | 4 | 2 | 2 | 1 | 102 | 152 | -50 | 31 | 0.388 | 102 | 183 | 285 | 1 | 0 | 38 | 32 | 26 | 7 | 1146 | 352 | 398 | 376 | 32 | 1376 | 426 | 401 | 892 | 162 | 28 | 17.28% | 189 | 42 | 77.78% | 0 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 904 | 605 | 1019 | 303 | 500 | 245 | 40.2% | 8.9% | 89.0% | 97.9 | Unlucky | |
_Since Last GM Reset | 71 | 18 | 39 | 0 | 5 | 4 | 3 | 2 | 189 | 262 | -73 | 58 | 0.408 | 189 | 341 | 530 | 2 | 0 | 66 | 69 | 46 | 11 | 2091 | 647 | 744 | 668 | 51 | 2381 | 715 | 708 | 1597 | 272 | 43 | 15.81% | 321 | 72 | 77.57% | 1 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 1632 | 1102 | 1778 | 534 | 892 | 438 | 43.5% | 9.0% | 89.0% | 98.0 | FUN | |
Total | 71 | 18 | 39 | 0 | 5 | 4 | 3 | 2 | 189 | 262 | -73 | 58 | 0.408 | 189 | 341 | 530 | 2 | 0 | 66 | 69 | 46 | 11 | 2091 | 647 | 744 | 668 | 51 | 2381 | 715 | 708 | 1597 | 272 | 43 | 15.81% | 321 | 72 | 77.57% | 1 | 1167 | 2493 | 46.81% | 1205 | 2571 | 46.87% | 536 | 1096 | 48.91% | 1632 | 1102 | 1778 | 534 | 892 | 438 | 43.5% | 9.0% | 89.0% | 98.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2493 |
Neutral Zone Start | 1096 |
Defensive Zone Start | 2571 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2908 |
Faceoffs Lost | 3252 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 19.6 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 143 |
---|---|
PP Goal | 43 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 9 |
Lost | 16 | 23 |
Overtime Lost | 2 | 4 |
PP Attempt | 272 |
---|---|
PP Goal | 43 |
PK Attempt | 321 |
PK Goal Against | 72 |
Home | |
---|---|
Shots For | 29.5 |
Shots Against | 33.5 |
Goals For | 2.7 |
Goals Against | 3.7 |
Hits | 22.5 |
Shots Blocked | 10.1 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Bruins6,Panthers7 (OT) | RECAP | |||||||||||
2024-10-12 | @ | Panthers2,Senators4 | RECAP | |||||||||||
2024-10-14 | @ | Panthers4,Sabres2 | RECAP | |||||||||||
2024-10-16 | @ | Panthers0,Bruins3 | RECAP | |||||||||||
2024-10-17 | @ | Panthers3,Blue Jackets4 (OT) | RECAP | |||||||||||
2024-10-19 | @ | Canucks3,Panthers4 | RECAP | |||||||||||
2024-10-21 | @ | Golden Knights4,Panthers5 (SO) | RECAP | |||||||||||
2024-10-24 | @ | Wild3,Panthers2 | RECAP | |||||||||||
2024-10-26 | @ | Panthers0,Rangers6 | RECAP | |||||||||||
2024-10-28 | @ | Panthers3,Islanders2 (OT) | RECAP | |||||||||||
2024-10-30 | @ | Panthers0,Sabres3 | RECAP | |||||||||||
2024-11-03 | @ | Panthers4,Stars7 | RECAP | |||||||||||
2024-11-04 | @ | Stars2,Panthers4 | RECAP | |||||||||||
2024-11-09 | @ | Predators2,Panthers1 | RECAP | |||||||||||
2024-11-11 | @ | Flyers7,Panthers3 | RECAP | |||||||||||
2024-11-14 | @ | Devils2,Panthers1 | RECAP | |||||||||||
2024-11-16 | @ | Devils2,Panthers3 (OT) | RECAP | |||||||||||
2024-11-18 | @ | Jets4,Panthers3 (OT) | RECAP | |||||||||||
2024-11-21 | @ | Panthers2,Jets3 | RECAP | |||||||||||
2024-11-23 | @ | Panthers3,Blackhawks5 | RECAP | |||||||||||
2024-11-25 | @ | Avalanche3,Panthers4 | RECAP | |||||||||||
2024-11-27 | @ | Capitals5,Panthers6 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Maple Leafs2,Panthers3 | RECAP | |||||||||||
2024-12-01 | @ | Panthers4,Hurricanes5 (SO) | RECAP | |||||||||||
2024-12-02 | @ | Hurricanes4,Panthers1 | RECAP | |||||||||||
2024-12-05 | @ | Panthers0,Penguins3 | RECAP | |||||||||||
2024-12-07 | @ | Panthers2,Flyers6 | RECAP | |||||||||||
2024-12-09 | @ | Sharks3,Panthers4 | RECAP | |||||||||||
2024-12-12 | @ | Panthers3,Kraken4 | RECAP | |||||||||||
2024-12-14 | @ | Panthers1,Canucks4 | RECAP | |||||||||||
2024-12-16 | @ | Panthers1,Flames3 | RECAP | |||||||||||
2024-12-18 | @ | Panthers4,Oilers5 (SO) | RECAP | |||||||||||
2024-12-20 | @ | Panthers1,Wild2 (OT) | RECAP | |||||||||||
2024-12-22 | @ | Blues5,Panthers2 | RECAP | |||||||||||
2024-12-24 | @ | Panthers3,Lightning1 | RECAP | |||||||||||
2024-12-25 | @ | Lightning5,Panthers1 | RECAP | |||||||||||
2024-12-30 | @ | Canadiens2,Panthers6 | RECAP | |||||||||||
2025-01-01 | @ | Rangers2,Panthers0 | RECAP | |||||||||||
2025-01-04 | @ | Hurricanes3,Panthers4 | RECAP | |||||||||||
2025-01-05 | @ | Penguins4,Panthers3 (OT) | RECAP | |||||||||||
2025-01-08 | @ | Panthers3,Avalanche2 | RECAP | |||||||||||
2025-01-10 | @ | Panthers1,Hockey Club5 | RECAP | |||||||||||
2025-01-13 | @ | Bruins2,Panthers3 | RECAP | |||||||||||
2025-01-15 | @ | Panthers2,Flyers3 | RECAP | |||||||||||
2025-01-16 | @ | Panthers1,Devils3 | RECAP | |||||||||||
2025-01-18 | @ | Red Wings2,Panthers4 | RECAP | |||||||||||
2025-01-20 | @ | Ducks6,Panthers0 | RECAP | |||||||||||
2025-01-23 | @ | Panthers2,Ducks3 | RECAP | |||||||||||
2025-01-24 | @ | Panthers3,Kings2 | RECAP | |||||||||||
2025-01-27 | @ | Panthers4,Sharks3 (OT) | RECAP | |||||||||||
2025-01-28 | @ | Panthers2,Golden Knights3 | RECAP | |||||||||||
2025-01-31 | @ | Kings3,Panthers5 | RECAP | |||||||||||
2025-02-03 | @ | Blackhawks2,Panthers4 | RECAP | |||||||||||
2025-02-04 | @ | Islanders3,Panthers2 | RECAP | |||||||||||
2025-02-06 | @ | Panthers2,Capitals1 | RECAP | |||||||||||
2025-02-08 | @ | Panthers2,Blues4 | RECAP | |||||||||||
2025-02-10 | @ | Senators4,Panthers3 | RECAP | |||||||||||
2025-02-24 | @ | Kraken5,Panthers2 | RECAP | |||||||||||
2025-02-27 | @ | Panthers5,Predators3 | RECAP | |||||||||||
2025-03-01 | @ | Oilers5,Panthers2 | RECAP | |||||||||||
2025-03-03 | @ | Flames2,Panthers4 | RECAP | |||||||||||
2025-03-05 | @ | Lightning5,Panthers1 | RECAP | |||||||||||
2025-03-08 | @ | Blue Jackets5,Panthers1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Sabres7,Panthers3 | RECAP | |||||||||||
2025-03-13 | @ | Panthers2,Bruins6 | RECAP | |||||||||||
2025-03-15 | @ | Panthers2,Maple Leafs4 | RECAP | |||||||||||
2025-03-17 | @ | Panthers3,Canadiens5 | RECAP | |||||||||||
2025-03-18 | @ | Panthers3,Islanders4 | RECAP | |||||||||||
2025-03-22 | @ | Panthers2,Blue Jackets8 | RECAP | |||||||||||
2025-03-24 | @ | Panthers4,Capitals3 (OT) | RECAP | |||||||||||
2025-03-25 | @ | Penguins4,Panthers5 (SO) | RECAP | |||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,178,333$ | 0$ | 71,437,830$ | 26,821,667$ |
Arena | Goal Horn | About us | |
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![]() | Name | BBT Center | |
City | Florida | ||
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 | 198788 | 166906 | 66963 | 131305 | 32706 |
Attendance PCT | 94.66% | 95.37% | 95.66% | 93.79% | 93.45% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 17048 - 94.71% | 1,562,254$ | 54,678,900$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,178,333$ | 61,178,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
64,506,922$ | 312,134$ | 63,634,480$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,373,526$ | 25 | 317,236$ | 7,930,900$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
8,086,803$ | 61,178,333$ | 96,169,644$ | 97,456,367$ |
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 | Ronde 8 |
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2025 | ||||||||
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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 |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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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 Ingram | 2022 | 56 | |||
Benjamin Roger | 2021 | 80 | |||
Blake Biondi | 2020 | 110 | |||
Cameron Berg | 2020 | 216 | |||
Cameron Whynot | 2021 | 84 | |||
Case McCarthy | 2019 | 136 | 2.5 - 4.0 | ||
Cayden Lindstrom | 2024 | 8 | |||
Chase Yoder | |||||
Daniil But | 2023 | 30 | |||
David Edstrom | 2023 | 32 | |||
Dean Letourneau | 2024 | 40 | |||
Dmitri Gamzin | 2024 | 128 | |||
Dylan Peterson | 2020 | 91 | |||
Ethan Procyszyn | 2024 | 86 | |||
Haakon Hanelt | 2021 | 152 | |||
Isak Walther | 2019 | 192 | 5.5 - 5.0 | ||
James Hardie | 2020 | 134 | |||
Jaromir Pytlik | 2020 | 60 | |||
Luca Marrelli | 2024 | 89 | |||
Marek Vanacker | 2024 | 41 | |||
Michael Hrabal | 2023 | 34 | |||
Nicholas Moldenhauer | 2022 | 64 | |||
Noel Nordh | 2023 | 96 | |||
Pano Fimis | 2022 | 54 | |||
Ryder Ritchie | 2024 | 30 | |||
Sergei Murashov | 2022 | 113 | |||
Taige Harding | 2021 | 100 | |||
Wyatt Schingoethe | 2020 | 163 |
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