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Full Scoreboard »» |
Florida Panthers 21-26-6, 48pts · 13th 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 | 99.00 | 70 | 35 | 67 | 73 | 66 | 87 | 89 | 74 | 60 | 78 | 76 | 70 | 75 | 87 | 99 | 0 | 30 | 85 | 36 | 6,125,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 35 | 64 | 77 | 78 | 85 | 84 | 75 | 60 | 78 | 77 | 58 | 76 | 66 | 62 | 0 | 37 | 84 | 24 | 7,750,000$/5yrs | |||
![]() | 0 | RW | 99.00 | 87 | 55 | 50 | 68 | 89 | 85 | 82 | 69 | 59 | 66 | 74 | 83 | 71 | 77 | 72 | 0 | 39 | 82 | 30 | 6,500,000$/7yrs | |||
![]() | 0 | C | 99.00 | 73 | 33 | 83 | 70 | 78 | 85 | 74 | 70 | 84 | 66 | 75 | 69 | 72 | 67 | 66 | 0 | 37 | 80 | 25 | 7,250,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 33 | 94 | 71 | 78 | 82 | 89 | 68 | 61 | 68 | 73 | 69 | 71 | 69 | 68 | 0 | 44 | 79 | 26 | 2,600,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 40 | 69 | 67 | 85 | 81 | 88 | 68 | 59 | 70 | 70 | 60 | 69 | 74 | 71 | 0 | 42 | 78 | 29 | 3,700,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 32 | 91 | 72 | 69 | 79 | 84 | 68 | 59 | 70 | 69 | 56 | 69 | 62 | 62 | 0 | 38 | 77 | 23 | 4,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 38 | 80 | 61 | 80 | 80 | 89 | 59 | 61 | 59 | 65 | 77 | 62 | 71 | 69 | 0 | 40 | 75 | 28 | 3,500,000$/4yrs | |||
![]() | 52 | LW/RW | 100.00 | 64 | 33 | 93 | 62 | 82 | 76 | 80 | 63 | 58 | 64 | 64 | 61 | 64 | 74 | 73 | 0 | 43 | 74 | 29 | 775,000$/1yrs | |||
![]() | 0 | C | 99.00 | 57 | 37 | 96 | 60 | 72 | 69 | 69 | 63 | 71 | 61 | 62 | 67 | 61 | 68 | 68 | 0 | 39 | 72 | 27 | 3,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 38 | 85 | 59 | 68 | 75 | 82 | 61 | 81 | 65 | 60 | 59 | 61 | 65 | 64 | 0 | 36 | 71 | 25 | 2,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 68 | 32 | 91 | 59 | 71 | 74 | 67 | 60 | 55 | 63 | 58 | 64 | 59 | 61 | 60 | 0 | 44 | 71 | 22 | 775,000$/1yrs | |||
![]() | 4 | D | 99.00 | 64 | 33 | 84 | 79 | 77 | 97 | 88 | 73 | 30 | 85 | 64 | 68 | 69 | 67 | 75 | 0 | 41 | 87 | 25 | 8,000,000$/5yrs | |||
![]() | 0 | D | 99.00 | 59 | 33 | 90 | 58 | 77 | 87 | 90 | 68 | 30 | 60 | 50 | 89 | 63 | 83 | 93 | 0 | 38 | 78 | 35 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 33 | 92 | 64 | 82 | 83 | 71 | 61 | 30 | 67 | 54 | 63 | 57 | 64 | 63 | 0 | 49 | 76 | 24 | 825,000$/2yrs | |||
![]() | 0 | D | 99.00 | 68 | 34 | 79 | 55 | 68 | 86 | 83 | 62 | 30 | 63 | 57 | 73 | 59 | 72 | 69 | 0 | 36 | 75 | 28 | 3,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 74 | 40 | 67 | 62 | 79 | 82 | 76 | 59 | 30 | 66 | 59 | 61 | 59 | 66 | 62 | 0 | 39 | 74 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 32 | 84 | 60 | 75 | 81 | 85 | 57 | 30 | 63 | 57 | 61 | 57 | 66 | 65 | 0 | 47 | 73 | 25 | 2,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 71 | 37 | 74 | 59 | 73 | 77 | 89 | 60 | 77 | 63 | 59 | 58 | 60 | 64 | 61 | 0 | 23 | 71 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 42 | 50 | 45 | 77 | 60 | 69 | 45 | 30 | 50 | 48 | 65 | 49 | 62 | 57 | 0 | 20 | 64 | 24 | ||||
TEAM AVERAGE | 99.65 | 70 | 36 | 79 | 64 | 76 | 81 | 81 | 64 | 53 | 66 | 64 | 67 | 64 | 69 | 69 | 0 | 38 | 76 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 77 | 73 | 83 | 77 | 67 | 78 | 79 | 78 | 79 | 78 | 69 | 73 | 0 | 35 | 81 | 26 | 775,000$/5yrs |
![]() | 0 | 96.00 | 77 | 61 | 65 | 87 | 67 | 60 | 69 | 72 | 60 | 75 | 69 | 61 | 64 | 0 | 35 | 73 | 22 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 80 | 69 | 69 | 85 | 72 | 64 | 74 | 76 | 69 | 77 | 74 | 65 | 69 | 0 | 35 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Arniel | 63 | 66 | 69 | 66 | 89 | 83 | 57 | CAN | 62 | 5 | 1,000,000$ |
General Manager | Jean Francois Barette |
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Priority | Type | Description |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brad Marchand | 0 | LW | 51 | 17 | 31 | 48 | -4 | 18 | 0 | 64 | 184 | 53 | 130 | 9.24% | 16 | 19.79 | 5 | 10 | 15 | 168 | 0 | 0 | 0 | 114 | 3 | 1 | 42.50% | 80 | 0 | 0 | 0 | 0 | 0.95 | 0 | 4 | |
2 | Josh Norris | 0 | C | 53 | 18 | 27 | 45 | -3 | 27 | 5 | 27 | 156 | 59 | 113 | 11.54% | 8 | 19.31 | 4 | 5 | 9 | 174 | 0 | 0 | 0 | 54 | 3 | 1 | 50.21% | 1412 | 0 | 0 | 0 | 0 | 0.88 | 2 | 2 | |
3 | Andrei Svechnikov | 0 | LW/RW | 53 | 17 | 22 | 39 | -4 | 54 | 0 | 132 | 186 | 47 | 124 | 9.14% | 3 | 18.75 | 5 | 6 | 11 | 174 | 0 | 0 | 0 | 35 | 3 | 0 | 50.00% | 72 | 0 | 0 | 0 | 0 | 0.78 | 3 | 4 | |
4 | Miro Heiskanen | 4 | D | 53 | 6 | 30 | 36 | -6 | 56 | 0 | 128 | 89 | 33 | 60 | 6.74% | 67 | 24.92 | 1 | 10 | 11 | 195 | 0 | 0 | 0 | 228 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 2 | |
5 | Tom Wilson | 0 | RW | 53 | 20 | 16 | 36 | 2 | 77 | 5 | 236 | 151 | 36 | 102 | 13.25% | 25 | 20.40 | 6 | 6 | 12 | 153 | 1 | 0 | 1 | 216 | 1 | 1 | 39.36% | 94 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
6 | Alexandre Carrier | 0 | D | 53 | 9 | 18 | 27 | 2 | 46 | 0 | 54 | 62 | 12 | 41 | 14.52% | 82 | 21.88 | 3 | 3 | 6 | 133 | 0 | 1 | 1 | 152 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Mason Marchment | 0 | C/LW/RW | 53 | 13 | 14 | 27 | -12 | 36 | 0 | 115 | 134 | 21 | 67 | 9.70% | 4 | 15.43 | 2 | 5 | 7 | 152 | 0 | 0 | 0 | 0 | 0 | 1 | 33.96% | 53 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
8 | Yegor Sharangovich | 0 | C/LW | 53 | 12 | 13 | 25 | 1 | 0 | 0 | 2 | 180 | 53 | 103 | 6.67% | 7 | 17.13 | 4 | 6 | 10 | 194 | 0 | 0 | 0 | 13 | 3 | 1 | 37.74% | 53 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
9 | Thomas Novak | 0 | C | 53 | 8 | 13 | 21 | 0 | 0 | 0 | 1 | 95 | 18 | 60 | 8.42% | 7 | 18.48 | 1 | 5 | 6 | 150 | 0 | 0 | 0 | 108 | 1 | 2 | 44.78% | 1226 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
10 | Christopher Tanev | 0 | D | 53 | 1 | 17 | 18 | -1 | 24 | 0 | 68 | 39 | 10 | 22 | 2.56% | 104 | 21.27 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 230 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
11 | Cole Perfetti | 0 | C/LW | 53 | 5 | 9 | 14 | -11 | 8 | 0 | 33 | 91 | 22 | 67 | 5.49% | 2 | 12.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Jack Drury | 0 | C | 53 | 2 | 9 | 11 | -10 | 6 | 0 | 16 | 40 | 8 | 27 | 5.00% | 9 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 50.32% | 793 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
13 | Pierre-Olivier Joseph | 0 | D | 53 | 0 | 10 | 10 | -15 | 40 | 0 | 62 | 15 | 6 | 8 | 0.00% | 47 | 13.28 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
14 | Michael Kesselring | 0 | D | 53 | 0 | 10 | 10 | -1 | 88 | 0 | 125 | 24 | 8 | 9 | 0.00% | 57 | 18.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
15 | Yakov Trenin | 0 | C/LW | 53 | 5 | 4 | 9 | -5 | 8 | 0 | 38 | 59 | 13 | 42 | 8.47% | 14 | 10.53 | 0 | 0 | 0 | 9 | 0 | 1 | 1 | 264 | 0 | 0 | 45.28% | 519 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
16 | Kaedan Korczak | 0 | D | 53 | 1 | 7 | 8 | -15 | 49 | 5 | 65 | 35 | 17 | 32 | 2.86% | 59 | 17.30 | 0 | 1 | 1 | 131 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
17 | Hudson Fasching | 52 | LW/RW | 53 | 3 | 2 | 5 | -4 | 0 | 0 | 4 | 27 | 8 | 32 | 11.11% | 1 | 5.59 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
18 | Peyton Krebs | 0 | C/LW | 41 | 2 | 2 | 4 | -9 | 4 | 0 | 11 | 23 | 6 | 13 | 8.70% | 2 | 6.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 49.54% | 216 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
19 | Landon Slaggert | 0 | LW | 14 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 8 | 4 | 3 | 0.00% | 2 | 5.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.66% | 77 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 954 | 139 | 254 | 393 | -96 | 543 | 15 | 1182 | 1598 | 434 | 1055 | 8.70% | 516 | 16.30 | 31 | 57 | 88 | 1650 | 1 | 2 | 3 | 1650 | 19 | 8 | 47.18% | 4642 | 0 | 0 | 0 | 0 | 0.51 | 5 | 14 |
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 | 26 | 9 | 12 | 4 | 0.888 | 3.61 | 1429 | 6 | 0 | 86 | 768 | 0 | 0 | 0 | 0.615 | 13 | 24 | 26 | 1 | 1 | 0 | |
2 | Jesper Wallstedt | 13 | 5 | 7 | 0 | 0.909 | 3.17 | 720 | 0 | 0 | 38 | 419 | 0 | 1 | 0 | 0.000 | 0 | 12 | 15 | 1 | 0 | 1 | |
Team Total or Average | 39 | 14 | 19 | 4 | 0.896 | 3.46 | 2150 | 6 | 0 | 124 | 1187 | 0 | 1 | 0 | 0.615 | 13 | 36 | 41 | 2 | 1 | 1 |
Projected Total Cap Hit | 73,416,466$ |
Projected Cap Space | 14,583,534$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 45,195,766$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Carrier ![]() | D | 28 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Andrei Svechnikov ![]() | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
Brad Marchand ![]() | LW | 36 | 6,125,000$ | 6,125,000$ | UFA | ||||||
Christopher Tanev ![]() | D | 35 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Cole Perfetti ![]() | C/LW | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
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 | ||||||
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$ | ||||||
Landon Slaggert ![]() | LW | 22 | 775,000$ | 775,000$ | RFA | ||||||
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 | ||||
Thomas Novak ![]() | C | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 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 |
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 | 23 | 0$ | RFA | |||||||
Axel Andersson ![]() | D | 25 | 0$ | ![]() | |||||||
Blade Jenkins ![]() | LW | 24 | 800,000$ | 800,000$ | 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 | 21 | 925,000$ | 925,000$ | RFA | ||||||
J.C. Beaudin ![]() | C | 27 | 0$ | UFA | |||||||
Jack Kopacka ![]() | LW | 26 | 0$ | ![]() | |||||||
Jakub Brabenec ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Jeremy Davies ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jonathan Lekkerimaki ![]() | C/RW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Joona Luoto ![]() | LW/RW | 27 | 0$ | ![]() | |||||||
Jordan Sambrook ![]() | D | 26 | 0$ | ![]() | |||||||
Keith Petruzzelli ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Leon Gawanke ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Niklas Kokko ![]() | G | 20 | 891,666$ | 891,666$ | 891,666$ | 891,666$ | RFA | ||||
Oskari Salminen ![]() | G | 25 | 0$ | ![]() | |||||||
Ozzy Wiesblatt ![]() | RW | 22 | 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 | 22 | 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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 9 | 9 | 15 | 0 | 26 | 10 | 8 | 25 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 22 | 15 | 24 | 7 | 12 | 5 | 33.3% | 3.0% | 88.5% | 91.5 | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 68 | 46 | 76 | 23 | 38 | 18 | 30.0% | 5.8% | 93.3% | 99.1 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 30 | 9 | 8 | 13 | 0 | 25 | 10 | 10 | 18 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 22 | 14 | 25 | 8 | 12 | 5 | 0.0% | 6.7% | 84.0% | 90.7 | Unlucky | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 31 | 11 | 9 | 9 | 2 | 27 | 5 | 8 | 26 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 25 | 16 | 22 | 8 | 13 | 6 | 66.7% | 9.7% | 92.6% | 102.3 | LUCKY | |
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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 20 | 14 | 26 | 7 | 12 | 6 | 75.0% | 15.4% | 93.9% | 109.3 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 4 | 0 | 0 | 32 | 10 | 17 | 5 | 0 | 25 | 11 | 12 | 20 | 4 | 3 | 75.00% | 5 | 0 | 100.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 21 | 14 | 25 | 7 | 12 | 6 | 60.0% | 18.8% | 92.0% | 110.8 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 4 | 0 | 1 | 34 | 8 | 12 | 12 | 4 | 51 | 11 | 14 | 27 | 0 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 22 | 15 | 29 | 7 | 13 | 6 | 60.0% | 17.6% | 90.2% | 107.8 | FUN | |
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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 49 | 33 | 45 | 14 | 24 | 12 | 62.5% | 11.6% | 92.1% | 103.7 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 9 | 19 | 11 | 0 | 26 | 7 | 10 | 23 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 25 | 18 | 23 | 8 | 11 | 5 | 33.3% | 2.6% | 92.3% | 94.9 | DULL | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 63 | 25 | 15 | 23 | 0 | 53 | 14 | 18 | 53 | 10 | 3 | 30.00% | 8 | 2 | 75.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 49 | 34 | 46 | 14 | 24 | 12 | 20.0% | 6.3% | 88.7% | 95.0 | Unlucky | |
17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 2 | 42 | 10 | 14 | 14 | 9 | 33 | 11 | 8 | 29 | 4 | 1 | 25.00% | 3 | 3 | 0.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 26 | 18 | 24 | 8 | 13 | 6 | 60.0% | 9.5% | 84.8% | 94.4 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 24 | 5 | 13 | 6 | 0 | 37 | 5 | 16 | 28 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 22 | 14 | 25 | 7 | 12 | 6 | 40.0% | 8.3% | 86.5% | 94.8 | Unlucky | |
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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 22 | 14 | 25 | 7 | 12 | 5 | 0.0% | 4.2% | 87.5% | 91.7 | Unlucky | |
20 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 2 | 7 | 0 | 1 | 78 | 19 | 29 | 29 | 1 | 105 | 29 | 32 | 64 | 8 | 1 | 12.50% | 15 | 5 | 66.67% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 65 | 44 | 79 | 22 | 35 | 16 | 60.0% | 12.8% | 89.5% | 102.3 | FUN | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 67 | 20 | 33 | 14 | 0 | 69 | 28 | 16 | 48 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 41 | 26 | 54 | 15 | 24 | 11 | 37.5% | 6.0% | 92.8% | 98.7 | DULL | |
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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 41 | 24 | 52 | 15 | 25 | 12 | 45.5% | 14.0% | 91.6% | 105.6 | LUCKY | |
23 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 29 | 12 | 6 | 11 | 0 | 45 | 16 | 12 | 26 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 20 | 13 | 28 | 8 | 12 | 6 | 40.0% | 10.3% | 91.1% | 101.5 | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 41 | 25 | 54 | 15 | 24 | 11 | 50.0% | 16.0% | 85.5% | 101.5 | FUN | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 17 | 6 | 8 | 3 | 0 | 30 | 6 | 8 | 23 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 21 | 13 | 26 | 8 | 12 | 6 | 66.7% | 17.6% | 93.3% | 111.0 | LUCKY | |
28 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 42 | 10 | 21 | 10 | 1 | 65 | 16 | 20 | 32 | 10 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 43 | 28 | 51 | 16 | 27 | 12 | 42.9% | 7.1% | 89.2% | 96.4 | Unlucky | |
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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 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 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 41 | 28 | 57 | 15 | 25 | 12 | 58.3% | 10.6% | 90.4% | 101.0 | FUN | |
31 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 10 | 11 | 9 | 0 | 41 | 8 | 6 | 23 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 23 | 15 | 25 | 7 | 11 | 5 | 25.0% | 10.0% | 90.2% | 100.2 | FUN | |
_Vs Division | 11 | 6 | 4 | 0 | 1 | 0 | 0 | 0 | 33 | 32 | 1 | 14 | 0.636 | 33 | 62 | 95 | 1 | 0 | 10 | 16 | 6 | 1 | 313 | 101 | 114 | 97 | 1 | 340 | 111 | 102 | 240 | 40 | 12 | 30.00% | 47 | 10 | 78.72% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 241 | 162 | 284 | 85 | 133 | 65 | 48.8% | 10.5% | 90.6% | 101.1 | FUN | |
_Vs Conference | 27 | 7 | 13 | 0 | 3 | 2 | 1 | 1 | 69 | 93 | -24 | 25 | 0.463 | 69 | 123 | 192 | 1 | 0 | 23 | 29 | 13 | 5 | 796 | 243 | 291 | 244 | 25 | 930 | 278 | 278 | 604 | 104 | 19 | 18.27% | 132 | 28 | 78.79% | 0 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 603 | 400 | 694 | 206 | 340 | 165 | 43.5% | 8.7% | 90.0% | 98.7 | Unlucky | |
_Since Last GM Reset | 53 | 15 | 26 | 0 | 4 | 4 | 2 | 2 | 141 | 184 | -43 | 48 | 0.453 | 141 | 254 | 395 | 2 | 0 | 43 | 62 | 30 | 9 | 1598 | 484 | 593 | 491 | 44 | 1774 | 516 | 551 | 1182 | 194 | 31 | 15.98% | 248 | 55 | 77.82% | 1 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 1208 | 813 | 1341 | 400 | 667 | 325 | 46.0% | 8.8% | 89.6% | 98.5 | Unlucky | |
Total | 53 | 15 | 26 | 0 | 4 | 4 | 2 | 2 | 141 | 184 | -43 | 48 | 0.453 | 141 | 254 | 395 | 2 | 0 | 43 | 62 | 30 | 9 | 1598 | 484 | 593 | 491 | 44 | 1774 | 516 | 551 | 1182 | 194 | 31 | 15.98% | 248 | 55 | 77.82% | 1 | 882 | 1865 | 47.29% | 904 | 1928 | 46.89% | 404 | 802 | 50.37% | 1208 | 813 | 1341 | 400 | 667 | 325 | 46.0% | 8.8% | 89.6% | 98.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1865 |
Neutral Zone Start | 802 |
Defensive Zone Start | 1928 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2190 |
Faceoffs Lost | 2405 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 107 |
---|---|
PP Goal | 31 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 15 | 6 |
Lost | 9 | 17 |
Overtime Lost | 2 | 4 |
PP Attempt | 194 |
---|---|
PP Goal | 31 |
PK Attempt | 248 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 30.2 |
Shots Against | 33.5 |
Goals For | 2.7 |
Goals Against | 3.5 |
Hits | 22.3 |
Shots Blocked | 9.7 |
Pim | 10.4 |
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 | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-16 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,750,000$ | 0$ | 73,416,466$ | 14,250,000$ |
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 | 149130 | 124022 | 49889 | 98003 | 24357 |
Attendance PCT | 95.60% | 95.40% | 95.94% | 94.23% | 93.68% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
15 | 17131 - 95.17% | 1,571,096$ | 40,848,486$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,750,000$ | 73,750,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
45,813,108$ | 376,276$ | 45,195,766$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
23,566,434$ | 75 | 381,378$ | 28,603,350$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,447,773$ | 73,750,000$ | 101,730,327$ | 95,848,988$ |
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 | ||||||||
2026 | ||||||||
2027 | ||||||||
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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. |
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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 |
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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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