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Full Scoreboard »» |
Florida Panthers 42-16-10, 94pts · 2nd 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 | C/LW/RW | 100.00 | 61 | 34 | 81 | 96 | 91 | 86 | 89 | 93 | 80 | 88 | 98 | 71 | 95 | 68 | 66 | 0 | 82 | 97 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 85 | 34 | 89 | 85 | 94 | 90 | 90 | 85 | 58 | 82 | 93 | 66 | 89 | 89 | 99 | 0 | 45 | 95 | 37 | 9,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 34 | 93 | 89 | 88 | 85 | 89 | 84 | 60 | 85 | 86 | 82 | 85 | 71 | 70 | 0 | 72 | 93 | 26 | 4,750,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 70 | 32 | 79 | 83 | 70 | 89 | 88 | 86 | 60 | 84 | 88 | 65 | 87 | 73 | 71 | 0 | 78 | 91 | 28 | 6,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 33 | 88 | 81 | 82 | 89 | 90 | 85 | 62 | 86 | 85 | 70 | 85 | 77 | 76 | 0 | 78 | 91 | 30 | 6,000,000$/6yrs | |||
![]() | 0 | C | 100.00 | 63 | 33 | 80 | 80 | 79 | 86 | 82 | 78 | 81 | 84 | 84 | 68 | 81 | 87 | 99 | 0 | 82 | 90 | 36 | 7,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 94 | 53 | 58 | 75 | 89 | 86 | 82 | 77 | 60 | 77 | 79 | 84 | 78 | 74 | 70 | 0 | 78 | 88 | 28 | 5,166,666$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 84 | 32 | 81 | 78 | 71 | 88 | 90 | 77 | 89 | 80 | 80 | 75 | 78 | 75 | 73 | 0 | 84 | 87 | 29 | 6,000,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 33 | 92 | 79 | 76 | 80 | 87 | 79 | 60 | 70 | 89 | 64 | 84 | 70 | 69 | 0 | 58 | 86 | 26 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 81 | 42 | 73 | 73 | 88 | 79 | 89 | 75 | 82 | 75 | 72 | 83 | 73 | 65 | 62 | 0 | 76 | 85 | 23 | 1,650,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 83 | 45 | 75 | 68 | 84 | 77 | 80 | 71 | 59 | 72 | 69 | 85 | 70 | 67 | 65 | 0 | 69 | 83 | 25 | 825,000$/1yrs | |||
![]() | 72 | C/LW/RW | 100.00 | 67 | 32 | 85 | 67 | 74 | 83 | 88 | 71 | 82 | 73 | 72 | 70 | 71 | 75 | 73 | 0 | 76 | 80 | 29 | 850,000$/1yrs | |||
![]() | 73 | D | 100.00 | 76 | 33 | 69 | 84 | 82 | 92 | 81 | 81 | 30 | 88 | 66 | 90 | 73 | 68 | 65 | 0 | 80 | 93 | 25 | 9,500,000$/8yrs | |||
![]() | 4 | D | 100.00 | 64 | 33 | 83 | 80 | 77 | 96 | 90 | 78 | 30 | 86 | 71 | 82 | 74 | 65 | 70 | 0 | 68 | 89 | 23 | 8,000,000$/7yrs | |||
![]() | 55 | D | 100.00 | 71 | 40 | 72 | 73 | 83 | 91 | 90 | 76 | 30 | 77 | 65 | 95 | 70 | 69 | 66 | 0 | 82 | 89 | 26 | 4,950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 84 | 71 | 80 | 86 | 90 | 74 | 30 | 77 | 58 | 87 | 66 | 73 | 72 | 0 | 82 | 87 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 32 | 79 | 65 | 68 | 89 | 88 | 72 | 30 | 74 | 61 | 86 | 66 | 69 | 67 | 0 | 61 | 84 | 26 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 50 | 74 | 65 | 95 | 81 | 79 | 66 | 30 | 70 | 56 | 87 | 61 | 66 | 64 | 0 | 75 | 83 | 24 | 1,250,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 74 | 33 | 96 | 65 | 76 | 80 | 90 | 70 | 60 | 73 | 70 | 75 | 70 | 78 | 77 | 0 | 81 | 81 | 31 | 2,000,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 36 | 81 | 77 | 81 | 86 | 87 | 78 | 56 | 79 | 76 | 78 | 77 | 73 | 72 | 0 | 74 | 88 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 97 | 95 | 83 | 88 | 97 | 91 | 99 | 94 | 96 | 98 | 99 | 76 | 80 | 0 | 71 | 96 | 29 | 3,500,000$/2yrs |
![]() | 0 | 100.00 | 82 | 92 | 80 | 84 | 88 | 85 | 89 | 94 | 89 | 94 | 89 | 84 | 88 | 0 | 59 | 91 | 35 | 1,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 90 | 94 | 82 | 86 | 93 | 88 | 94 | 94 | 93 | 96 | 94 | 80 | 84 | 0 | 65 | 94 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 90 | 88 | 90 | 84 | 86 | 80 | 88 | CAN | 58 | 2 | 1,000,000$ |
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 | Tage Thompson | 0 | C/LW/RW | 68 | 33 | 36 | 69 | 28 | 16 | 0 | 52 | 307 | 77 | 221 | 10.75% | 9 | 18.12 | 11 | 13 | 24 | 211 | 0 | 0 | 0 | 0 | 8 | 2 | 52.21% | 1176 | 0 | 0 | 0 | 0 | 1.12 | 1 | 7 | |
2 | Alex Tuch | 0 | LW/RW | 68 | 25 | 38 | 63 | 28 | 22 | 0 | 41 | 221 | 56 | 167 | 11.31% | 11 | 19.10 | 6 | 9 | 15 | 204 | 0 | 0 | 0 | 50 | 5 | 1 | 40.00% | 95 | 0 | 0 | 1 | 0 | 0.97 | 1 | 2 | |
3 | Jake Guentzel | 0 | LW | 68 | 19 | 29 | 48 | 6 | 22 | 0 | 74 | 198 | 58 | 137 | 9.60% | 2 | 17.93 | 3 | 9 | 12 | 197 | 0 | 0 | 0 | 1 | 1 | 1 | 40.00% | 90 | 0 | 0 | 0 | 0 | 0.79 | 1 | 7 | |
4 | Alex Ovechkin | 0 | LW | 64 | 19 | 26 | 45 | 0 | 28 | 0 | 132 | 245 | 62 | 154 | 7.76% | 6 | 20.16 | 6 | 6 | 12 | 177 | 0 | 0 | 0 | 18 | 7 | 1 | 42.42% | 99 | 0 | 0 | 0 | 1 | 0.70 | 0 | 5 | |
5 | Charlie McAvoy | 73 | D | 68 | 7 | 33 | 40 | 7 | 86 | 10 | 162 | 108 | 35 | 63 | 6.48% | 93 | 23.34 | 5 | 6 | 11 | 196 | 0 | 0 | 0 | 183 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
6 | Vincent Trocheck | 0 | C/RW | 70 | 16 | 24 | 40 | 8 | 34 | 0 | 122 | 187 | 47 | 151 | 8.56% | 13 | 18.88 | 6 | 7 | 13 | 201 | 1 | 0 | 1 | 290 | 3 | 0 | 53.95% | 1848 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | |
7 | Miro Heiskanen | 4 | D | 59 | 7 | 30 | 37 | 7 | 22 | 0 | 67 | 92 | 35 | 51 | 7.61% | 78 | 23.29 | 6 | 11 | 17 | 193 | 0 | 0 | 0 | 174 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
8 | Tom Wilson | 0 | RW | 70 | 15 | 20 | 35 | 17 | 112 | 10 | 178 | 147 | 36 | 106 | 10.20% | 6 | 14.75 | 0 | 1 | 1 | 51 | 0 | 0 | 0 | 24 | 1 | 1 | 49.37% | 79 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
9 | Noah Hanifin | 55 | D | 68 | 6 | 27 | 33 | 16 | 32 | 0 | 95 | 58 | 20 | 41 | 10.34% | 91 | 21.17 | 1 | 3 | 4 | 74 | 0 | 1 | 1 | 203 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
10 | Logan Stanley | 0 | D | 65 | 11 | 19 | 30 | 30 | 82 | 10 | 137 | 38 | 7 | 21 | 28.95% | 71 | 16.12 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 115 | 3 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.57 | 0 | 0 | |
11 | Evgeni Malkin | 0 | C | 68 | 15 | 14 | 29 | 4 | 22 | 0 | 53 | 176 | 46 | 97 | 8.52% | 6 | 17.65 | 1 | 6 | 7 | 178 | 0 | 0 | 0 | 9 | 4 | 0 | 51.78% | 1319 | 0 | 0 | 0 | 0 | 0.48 | 1 | 7 | |
12 | Zach Hyman | 0 | LW/RW | 68 | 13 | 16 | 29 | 10 | 16 | 0 | 96 | 178 | 46 | 130 | 7.30% | 6 | 17.60 | 3 | 8 | 11 | 184 | 0 | 0 | 0 | 78 | 4 | 1 | 38.16% | 76 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
13 | Matthew Benning | 0 | D | 61 | 3 | 22 | 25 | 20 | 22 | 0 | 53 | 34 | 4 | 13 | 8.82% | 54 | 15.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
14 | Jared McCann | 0 | C/LW | 66 | 11 | 10 | 21 | 5 | 4 | 0 | 22 | 76 | 13 | 50 | 14.47% | 3 | 13.02 | 1 | 5 | 6 | 110 | 0 | 0 | 0 | 5 | 2 | 0 | 45.76% | 118 | 0 | 0 | 0 | 1 | 0.49 | 0 | 0 | |
15 | Jesper Fast | 0 | RW | 67 | 7 | 8 | 15 | -3 | 8 | 0 | 23 | 94 | 24 | 61 | 7.45% | 16 | 12.45 | 0 | 1 | 1 | 14 | 0 | 1 | 1 | 252 | 0 | 0 | 46.67% | 195 | 0 | 0 | 0 | 0 | 0.36 | 0 | 1 | |
16 | Alexandre Carrier | 0 | D | 55 | 2 | 11 | 13 | 14 | 38 | 0 | 96 | 19 | 8 | 19 | 10.53% | 72 | 17.68 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 97 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
17 | Michael Rasmussen | 0 | C/LW | 68 | 6 | 5 | 11 | 1 | 36 | 0 | 96 | 87 | 17 | 44 | 6.90% | 11 | 10.93 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 147 | 0 | 1 | 54.07% | 651 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
18 | Nathan Bastian | 0 | RW | 60 | 0 | 9 | 9 | -12 | 18 | 0 | 72 | 71 | 29 | 50 | 0.00% | 10 | 9.81 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 34 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
19 | Travis Boyd | 72 | C/LW/RW | 65 | 2 | 6 | 8 | -1 | 6 | 0 | 19 | 57 | 15 | 31 | 3.51% | 6 | 10.03 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 111 | 1 | 0 | 53.33% | 150 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
Team Total or Average | 1246 | 217 | 383 | 600 | 185 | 626 | 30 | 1590 | 2393 | 635 | 1607 | 9.07% | 564 | 16.70 | 49 | 86 | 135 | 2027 | 1 | 2 | 3 | 1817 | 43 | 9 | 51.80% | 5930 | 0 | 0 | 2 | 2 | 0.58 | 4 | 31 |
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 | Linus Ullmark | 49 | 29 | 11 | 9 | 0.916 | 2.25 | 2929 | 4 | 4 | 110 | 1316 | 0 | 3 | 1 | 0.643 | 14 | 49 | 19 | 7 | 3 | 2 | |
2 | James Reimer | 31 | 15 | 12 | 3 | 0.915 | 2.14 | 1794 | 2 | 2 | 64 | 756 | 0 | 1 | 2 | 0.923 | 13 | 30 | 37 | 4 | 5 | 0 | |
Team Total or Average | 80 | 44 | 23 | 12 | 0.916 | 2.21 | 4723 | 6 | 6 | 174 | 2072 | 0 | 4 | 3 | 0.778 | 27 | 79 | 56 | 11 | 8 | 2 |
Projected Total Cap Hit | 80,507,046$ |
Projected Cap Space | 1,992,954$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 69,568,941$ |
Players In Salary Cap | 18 |
LTIR Players | 3 |
Panthers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Ovechkin | LW | 37 | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||||
Alex Tuch | LW/RW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Alexandre Carrier ![]() | D | 26 | 950,000$ | 950,000$ | |||||||
Charlie McAvoy | D | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Evgeni Malkin | C | 36 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Jake Guentzel | LW | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
James Reimer ![]() | G | 35 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Jared McCann ![]() | C/LW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jesper Fast | RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Linus Ullmark ![]() | G | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Logan Stanley ![]() | D | 24 | 1,250,000$ | 1,250,000$ | |||||||
Matthew Benning ![]() | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Michael Rasmussen | C/LW | 23 | 1,650,000$ | 1,650,000$ | RFA | ||||||
Miro Heiskanen | D | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Nathan Bastian ![]() ![]() | RW | 25 | 825,000$ | 825,000$ | |||||||
Noah Hanifin | D | 26 | 4,950,000$ | 4,950,000$ | 4,950,000$ | ||||||
Tage Thompson ![]() | C/LW/RW | 25 | 1,250,000$ | 1,250,000$ | |||||||
Tom Wilson | RW | 28 | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | |||||
Travis Boyd ![]() | C/LW/RW | 29 | 850,000$ | 850,000$ | UFA | ||||||
Vincent Trocheck | C/RW | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Zach Hyman | LW/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie ![]() | C | 24 | 842,000$ | 842,000$ | RFA | ||||||
Adam Mascherin ![]() | C/LW | 24 | 0$ | ![]() | |||||||
Adam Sykora ![]() | LW/RW | 18 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | |||||
Albin Grewe ![]() | LW | 21 | 0$ | RFA | |||||||
Axel Andersson ![]() | D | 23 | 772,500$ | 772,500$ | RFA | ||||||
Beck Malenstyn ![]() ![]() | C | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Carson Ceulemans ![]() | D | 19 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Chase De Leo ![]() | C | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Dan Vladar ![]() ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Daniil Gushchin ![]() | LW | 21 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Dylan Wells ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Gage Goncalves ![]() ![]() | C | 22 | 750,000$ | 750,000$ | RFA | ||||||
Hendrix Lapierre ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Hudson Fasching ![]() | LW/RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Isak Rosen ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
J.C. Beaudin ![]() | C | 25 | 0$ | ![]() | |||||||
Jack Kopacka ![]() | LW | 25 | 0$ | ![]() | |||||||
Jake Leschyshyn ![]() | C | 24 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | ![]() | ||||
Jeremy Davies ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Joona Luoto ![]() ![]() | LW/RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Josh Jacobs ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Kaedan Korczak ![]() | D | 22 | 789,167$ | 789,167$ | 789,167$ | RFA | |||||
Keith Petruzzelli ![]() ![]() | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Leon Gawanke ![]() ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Luke Philp ![]() ![]() | C | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Nikita Okhotyuk ![]() | D | 22 | 789,167$ | 789,167$ | 789,167$ | RFA | |||||
Oskari Salminen ![]() ![]() | G | 23 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Reid Schaefer ![]() | LW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Semyon Der-Arguchintsev ![]() ![]() | C | 22 | 766,667$ | 766,667$ | RFA | ||||||
Thomas Novak ![]() ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Tye Felhaber ![]() | LW | 24 | 0$ | RFA | |||||||
Yan Kuznetsov ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 66 | 25 | 24 | 17 | 0 | 50 | 17 | 10 | 41 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 30 | 48 | 15 | 25 | 12 | 60.0% | 6.1% | 92.0% | 98.1 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 3 | 3 | 0 | 0 | 69 | 20 | 24 | 25 | 0 | 60 | 20 | 19 | 42 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 31 | 51 | 14 | 23 | 11 | 44.4% | 8.7% | 90.0% | 98.7 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 56 | 16 | 14 | 25 | 4 | 62 | 18 | 18 | 44 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 47 | 32 | 51 | 14 | 26 | 13 | 37.5% | 7.1% | 88.7% | 95.9 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 2 | 0 | 0 | 33 | 11 | 10 | 12 | 0 | 23 | 6 | 8 | 16 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 24 | 17 | 22 | 7 | 12 | 5 | 100.0% | 6.1% | 100.0% | 106.1 | DULL | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 6 | 0 | 1 | 0 | 88 | 31 | 30 | 27 | 0 | 97 | 23 | 32 | 65 | 10 | 2 | 20.00% | 14 | 1 | 92.86% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 69 | 47 | 73 | 22 | 37 | 17 | 45.5% | 8.0% | 92.8% | 100.7 | DULL | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 2 | 2 | 1 | 0 | 54 | 15 | 21 | 18 | 0 | 46 | 12 | 12 | 37 | 11 | 1 | 9.09% | 6 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 53 | 38 | 41 | 14 | 24 | 12 | 66.7% | 9.3% | 95.7% | 104.9 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 58 | 26 | 19 | 13 | 0 | 50 | 14 | 12 | 33 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 52 | 37 | 43 | 14 | 23 | 12 | 57.1% | 8.6% | 94.0% | 102.6 | DULL | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 0 | 1 | 71 | 24 | 28 | 12 | 11 | 53 | 16 | 33 | 43 | 9 | 1 | 11.11% | 9 | 3 | 66.67% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 52 | 36 | 46 | 15 | 25 | 13 | 57.1% | 7.0% | 88.7% | 95.7 | Unlucky | |
9 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 9 | -6 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 57 | 11 | 22 | 20 | 7 | 57 | 22 | 14 | 43 | 8 | 2 | 25.00% | 7 | 3 | 57.14% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 32 | 51 | 14 | 26 | 13 | 14.3% | 5.3% | 84.2% | 89.5 | Unlucky | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 5 | 2 | 3 | 0 | 90 | 28 | 30 | 32 | 0 | 72 | 24 | 22 | 64 | 10 | 2 | 20.00% | 11 | 4 | 63.64% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 70 | 50 | 70 | 22 | 38 | 18 | 72.7% | 11.1% | 90.3% | 101.4 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 63 | 19 | 17 | 27 | 0 | 47 | 22 | 22 | 35 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 47 | 34 | 49 | 15 | 23 | 11 | 57.1% | 7.9% | 89.4% | 97.3 | Unlucky | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 5 | 3 | 0 | 75 | 25 | 25 | 25 | 0 | 52 | 10 | 12 | 34 | 9 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 52 | 37 | 41 | 14 | 26 | 13 | 71.4% | 13.3% | 90.4% | 103.7 | FUN | |
13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 0 | 78 | 32 | 26 | 20 | 0 | 54 | 13 | 18 | 42 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 53 | 36 | 42 | 15 | 24 | 11 | 71.4% | 7.7% | 92.6% | 100.3 | DULL | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 2 | 2 | 60 | 29 | 14 | 15 | 5 | 59 | 18 | 10 | 45 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 47 | 32 | 50 | 15 | 27 | 13 | 46.2% | 11.7% | 88.1% | 99.8 | FUN | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 1 | 1 | 62 | 12 | 21 | 22 | 10 | 65 | 25 | 22 | 31 | 7 | 2 | 28.57% | 11 | 1 | 90.91% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 32 | 52 | 15 | 26 | 12 | 55.6% | 11.3% | 92.3% | 103.6 | LUCKY | |
16 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 6 | 0.750 | 14 | 27 | 41 | 0 | 0 | 4 | 8 | 2 | 0 | 139 | 47 | 51 | 41 | 0 | 103 | 19 | 28 | 92 | 19 | 4 | 21.05% | 13 | 2 | 84.62% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 100 | 69 | 87 | 30 | 51 | 27 | 71.4% | 10.1% | 94.2% | 104.2 | LUCKY | |
17 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 62 | 26 | 15 | 21 | 0 | 48 | 8 | 14 | 39 | 10 | 1 | 10.00% | 6 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 54 | 38 | 41 | 14 | 25 | 13 | 50.0% | 11.3% | 87.5% | 98.8 | FUN | |
18 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 2 | 1 | 63 | 20 | 24 | 17 | 2 | 53 | 17 | 20 | 41 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 50 | 34 | 48 | 14 | 26 | 12 | 50.0% | 11.1% | 86.8% | 97.9 | FUN | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 4 | 0 | 0 | 65 | 22 | 28 | 15 | 0 | 66 | 19 | 16 | 44 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 32 | 47 | 14 | 26 | 12 | 50.0% | 7.7% | 89.4% | 97.1 | Unlucky | |
20 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 0.750 | 9 | 15 | 24 | 0 | 1 | 3 | 5 | 0 | 1 | 104 | 41 | 36 | 24 | 3 | 127 | 35 | 18 | 93 | 11 | 2 | 18.18% | 9 | 0 | 100.00% | 1 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 92 | 65 | 99 | 29 | 51 | 24 | 46.7% | 8.7% | 93.7% | 102.4 | DULL | |
21 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 16 | 25 | 0 | 1 | 5 | 1 | 2 | 1 | 83 | 28 | 16 | 31 | 11 | 80 | 21 | 23 | 74 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 78 | 56 | 72 | 21 | 38 | 20 | 66.7% | 10.8% | 93.8% | 104.6 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 69 | 17 | 27 | 25 | 0 | 63 | 19 | 18 | 37 | 7 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 48 | 35 | 51 | 13 | 23 | 12 | 37.5% | 4.3% | 90.5% | 94.8 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 0 | 3 | 0 | 54 | 13 | 21 | 20 | 0 | 55 | 15 | 12 | 35 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 46 | 32 | 47 | 15 | 26 | 12 | 28.6% | 5.6% | 87.3% | 92.8 | Unlucky | |
24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 3 | 2 | 1 | 1 | 50 | 17 | 14 | 15 | 4 | 64 | 14 | 23 | 48 | 8 | 3 | 37.50% | 8 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 45 | 32 | 50 | 16 | 25 | 12 | 66.7% | 14.0% | 96.9% | 110.9 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 44 | 19 | 6 | 19 | 0 | 52 | 22 | 22 | 37 | 3 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 40 | 25 | 54 | 15 | 25 | 12 | 71.4% | 11.4% | 92.3% | 103.7 | LUCKY | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 85 | 31 | 31 | 23 | 0 | 36 | 10 | 10 | 43 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 56 | 41 | 40 | 12 | 23 | 12 | 72.7% | 11.8% | 91.7% | 103.4 | LUCKY | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 30 | 7 | 8 | 15 | 0 | 25 | 9 | 6 | 16 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 24 | 17 | 23 | 6 | 12 | 6 | 83.3% | 16.7% | 96.0% | 112.7 | LUCKY | |
28 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 16 | 26 | 0 | 0 | 4 | 4 | 2 | 0 | 105 | 33 | 33 | 39 | 0 | 72 | 28 | 22 | 70 | 11 | 3 | 27.27% | 10 | 0 | 100.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 73 | 50 | 69 | 19 | 37 | 20 | 58.3% | 9.5% | 93.1% | 102.6 | LUCKY | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 4 | 3 | 3 | 0 | 56 | 19 | 21 | 16 | 0 | 56 | 13 | 8 | 42 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 49 | 35 | 44 | 14 | 25 | 13 | 63.6% | 17.9% | 91.1% | 108.9 | Unlucky | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 1 | 4 | 2 | 2 | 0 | 74 | 25 | 29 | 20 | 0 | 52 | 20 | 18 | 34 | 8 | 4 | 50.00% | 8 | 1 | 87.50% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 54 | 38 | 42 | 14 | 23 | 12 | 66.7% | 10.8% | 94.2% | 105.0 | LUCKY | |
31 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 68 | 14 | 23 | 28 | 7 | 64 | 21 | 20 | 48 | 4 | 1 | 25.00% | 9 | 1 | 88.89% | 0 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 51 | 37 | 47 | 15 | 25 | 12 | 62.5% | 8.8% | 93.8% | 102.6 | DULL | |
_Vs Division | 18 | 10 | 4 | 0 | 2 | 0 | 0 | 2 | 52 | 36 | 16 | 26 | 0.722 | 52 | 92 | 144 | 0 | 3 | 21 | 20 | 9 | 2 | 536 | 173 | 173 | 175 | 21 | 487 | 136 | 119 | 398 | 58 | 11 | 18.97% | 55 | 10 | 81.82% | 1 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 438 | 309 | 428 | 133 | 230 | 115 | 61.2% | 9.7% | 92.6% | 102.3 | LUCKY | |
_Vs Conference | 36 | 18 | 11 | 0 | 2 | 1 | 1 | 3 | 97 | 81 | 16 | 46 | 0.639 | 97 | 171 | 268 | 2 | 4 | 42 | 33 | 19 | 3 | 1096 | 344 | 361 | 368 | 36 | 979 | 290 | 289 | 769 | 122 | 23 | 18.85% | 122 | 21 | 82.79% | 1 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 873 | 612 | 858 | 265 | 456 | 228 | 55.2% | 8.9% | 91.7% | 100.6 | Unlucky | |
_Since Last GM Reset | 68 | 35 | 16 | 0 | 4 | 6 | 3 | 4 | 204 | 156 | 48 | 94 | 0.691 | 204 | 366 | 570 | 2 | 6 | 85 | 68 | 44 | 8 | 2131 | 703 | 708 | 679 | 64 | 1863 | 550 | 542 | 1408 | 231 | 45 | 19.48% | 237 | 37 | 84.39% | 1 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 1669 | 1172 | 1604 | 501 | 861 | 432 | 57.2% | 9.6% | 91.6% | 101.2 | LUCKY | |
Total | 68 | 35 | 16 | 0 | 4 | 6 | 3 | 4 | 204 | 156 | 48 | 94 | 0.691 | 204 | 366 | 570 | 2 | 6 | 85 | 68 | 44 | 8 | 2131 | 703 | 708 | 679 | 64 | 1863 | 550 | 542 | 1408 | 231 | 45 | 19.48% | 237 | 37 | 84.39% | 1 | 1253 | 2388 | 52.47% | 1198 | 2291 | 52.29% | 495 | 983 | 50.36% | 1669 | 1172 | 1604 | 501 | 861 | 432 | 57.2% | 9.6% | 91.6% | 101.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2388 |
Neutral Zone Start | 983 |
Defensive Zone Start | 2291 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2946 |
Faceoffs Lost | 2716 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 156 |
---|---|
PP Goal | 45 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 22 | 20 |
Lost | 8 | 8 |
Overtime Lost | 4 | 6 |
PP Attempt | 231 |
---|---|
PP Goal | 45 |
PK Attempt | 237 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 27.4 |
Goals For | 3.0 |
Goals Against | 2.3 |
Hits | 20.7 |
Shots Blocked | 8.1 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Panthers3,Islanders4 | RECAP | |||||||||||
2022-10-15 | @ | Panthers2,Sabres3 (SO) | RECAP | |||||||||||
2022-10-17 | @ | Panthers5,Bruins4 (OT) | RECAP | |||||||||||
2022-10-19 | @ | Flyers4,Panthers3 (OT) | RECAP | |||||||||||
2022-10-21 | @ | Lightning1,Panthers3 | RECAP | |||||||||||
2022-10-23 | @ | Islanders1,Panthers0 | RECAP | |||||||||||
2022-10-25 | @ | Panthers2,Blackhawks3 (OT) | RECAP | |||||||||||
2022-10-27 | @ | Panthers3,Flyers2 | RECAP | |||||||||||
2022-10-29 | @ | Senators0,Panthers2 | RECAP | |||||||||||
2022-11-01 | @ | Panthers2,Coyotes3 | RECAP | |||||||||||
2022-11-03 | @ | Panthers4,Sharks3 | RECAP | |||||||||||
2022-11-05 | @ | Panthers3,Kings4 | RECAP | |||||||||||
2022-11-06 | @ | Panthers3,Ducks1 | RECAP | |||||||||||
2022-11-09 | @ | Hurricanes2,Panthers3 | RECAP | |||||||||||
2022-11-12 | @ | Oilers4,Panthers3 (OT) | RECAP | |||||||||||
2022-11-15 | @ | Capitals3,Panthers4 | RECAP | |||||||||||
2022-11-17 | @ | Stars2,Panthers5 | RECAP | |||||||||||
2022-11-19 | @ | Flames3,Panthers2 (OT) | RECAP | |||||||||||
2022-11-20 | @ | Panthers2,Blue Jackets4 | RECAP | |||||||||||
2022-11-23 | @ | Bruins0,Panthers1 | RECAP | |||||||||||
2022-11-26 | @ | Blues2,Panthers3 (OT) | RECAP | |||||||||||
2022-11-28 | @ | Panthers4,Oilers2 | RECAP | |||||||||||
2022-11-29 | @ | Panthers2,Flames1 | RECAP | |||||||||||
2022-12-01 | @ | Panthers2,Canucks3 (OT) | RECAP | |||||||||||
2022-12-03 | @ | Panthers2,Kraken3 (SO) | RECAP | |||||||||||
2022-12-06 | @ | Panthers4,Jets0 | RECAP | |||||||||||
2022-12-08 | @ | Red Wings3,Panthers2 (SO) | RECAP | |||||||||||
2022-12-10 | @ | Panthers0,Lightning2 | RECAP | |||||||||||
2022-12-11 | @ | Kraken1,Panthers4 | RECAP | |||||||||||
2022-12-13 | @ | Blue Jackets3,Panthers1 | RECAP | |||||||||||
2022-12-15 | @ | Penguins3,Panthers4 | RECAP | |||||||||||
2022-12-17 | @ | Panthers3,Devils4 (SO) | RECAP | |||||||||||
2022-12-19 | @ | Panthers2,Bruins1 | RECAP | |||||||||||
2022-12-21 | @ | Devils3,Panthers1 | RECAP | |||||||||||
2022-12-23 | @ | Panthers4,Islanders2 | RECAP | |||||||||||
2022-12-29 | @ | Canadiens4,Panthers3 | RECAP | |||||||||||
2022-12-30 | @ | Panthers2,Hurricanes0 | RECAP | |||||||||||
2023-01-01 | @ | Rangers1,Panthers2 (SO) | RECAP | |||||||||||
2023-01-03 | @ | Coyotes4,Panthers3 | RECAP | |||||||||||
2023-01-06 | @ | Panthers1,Red Wings6 | RECAP | |||||||||||
2023-01-08 | @ | Panthers5,Stars1 | RECAP | |||||||||||
2023-01-10 | @ | Panthers3,Avalanche2 | RECAP | |||||||||||
2023-01-12 | @ | Panthers3,Golden Knights0 | RECAP | |||||||||||
2023-01-14 | @ | Canucks1,Panthers4 | RECAP | |||||||||||
2023-01-16 | @ | Panthers3,Sabres2 (OT) | RECAP | |||||||||||
2023-01-17 | @ | Panthers5,Maple Leafs1 | RECAP | |||||||||||
2023-01-19 | @ | Panthers4,Canadiens2 | RECAP | |||||||||||
2023-01-21 | @ | Wild3,Panthers5 | RECAP | |||||||||||
2023-01-23 | @ | Panthers3,Rangers5 | RECAP | |||||||||||
2023-01-24 | @ | Panthers2,Penguins1 | RECAP | |||||||||||
2023-01-27 | @ | Kings3,Panthers4 (SO) | RECAP | |||||||||||
2023-01-28 | @ | Bruins3,Panthers1 | RECAP | |||||||||||
2023-02-06 | @ | Lightning2,Panthers6 | RECAP | |||||||||||
2023-02-09 | @ | Sharks2,Panthers6 | RECAP | |||||||||||
2023-02-11 | @ | Avalanche1,Panthers2 | RECAP | |||||||||||
2023-02-13 | @ | Panthers5,Wild2 | RECAP | |||||||||||
2023-02-14 | @ | Panthers4,Blues5 (OT) | RECAP | |||||||||||
2023-02-16 | @ | Panthers1,Capitals2 | RECAP | |||||||||||
2023-02-18 | @ | Panthers2,Predators1 (SO) | RECAP | |||||||||||
2023-02-20 | @ | Ducks3,Panthers2 | RECAP | |||||||||||
2023-02-24 | @ | Sabres0,Panthers4 | RECAP | |||||||||||
2023-02-28 | @ | Panthers5,Lightning1 | RECAP | |||||||||||
2023-03-02 | @ | Predators4,Panthers5 | RECAP | |||||||||||
2023-03-04 | @ | Penguins1,Panthers4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | Golden Knights3,Panthers5 | RECAP | |||||||||||
2023-03-10 | @ | Blackhawks3,Panthers1 | RECAP | |||||||||||
2023-03-11 | @ | Jets2,Panthers3 (OT) | RECAP | |||||||||||
2023-03-16 | @ | Canadiens1,Panthers3 | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-20 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-23 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-29 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
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2023-04-13 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,891,666$ | 0$ | 80,507,046$ | -1,391,666$ |
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 | 195767 | 162975 | 64827 | 129817 | 31988 |
Attendance PCT | 95.96% | 95.87% | 95.33% | 95.45% | 94.08% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 17217 - 95.65% | 1,517,175$ | 51,583,962$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,891,666$ | 83,891,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
70,678,857$ | 405,115$ | 69,568,941$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,620,227$ | 27 | 449,162$ | 12,127,374$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,420,134$ | 83,891,666$ | 51,702,859$ | 49,902,952$ |
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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2027 |
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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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 |
---|---|---|---|---|---|
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 | ||
Chase Yoder | |||||
Dylan Peterson | 2020 | 91 | |||
Emil Andrae | 2020 | 39 | |||
Haakon Hanelt | 2021 | 152 | |||
Isak Walther | 2019 | 192 | 5.5 - 5.0 | ||
James Hardie | 2020 | 134 | |||
Jaromir Pytlik | 2020 | 60 | |||
Landon Slaggert | 2020 | 146 | |||
Nicholas Moldenhauer | 2022 | 64 | |||
Niklas Kokko | 2022 | 81 | |||
Pano Fimis | 2022 | 54 | |||
Sergei Murashov | 2022 | 113 | |||
Taige Harding | 2021 | 100 | |||
Wyatt Schingoethe | 2020 | 163 |
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