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Full Scoreboard »» |
Florida Panthers 41-20-7, 89pts · 3rd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Hyman | 0 | LW/RW | 100.00 | 65 | 33 | 70 | 85 | 82 | 88 | 89 | 88 | 59 | 79 | 95 | 67 | 91 | 79 | 76 | 0 | 82 | 94 | 31 | 6,000,000$/5yrs | |||
Tage Thompson | 0 | C/LW/RW | 100.00 | 65 | 37 | 82 | 88 | 91 | 86 | 88 | 85 | 79 | 83 | 89 | 71 | 87 | 70 | 68 | 0 | 81 | 93 | 26 | 7,142,856$/7yrs | |||
Brad Marchand | 0 | LW | 100.00 | 67 | 38 | 62 | 81 | 66 | 88 | 90 | 82 | 60 | 82 | 84 | 81 | 83 | 86 | 97 | 0 | 85 | 92 | 35 | 6,125,000$/2yrs | |||
Vincent Trocheck | 0 | C/RW | 100.00 | 73 | 38 | 69 | 80 | 71 | 90 | 90 | 83 | 94 | 88 | 79 | 83 | 81 | 77 | 74 | 0 | 82 | 92 | 30 | 6,000,000$/5yrs | |||
Andrei Svechnikov | 0 | LW/RW | 100.00 | 80 | 33 | 65 | 86 | 78 | 84 | 82 | 83 | 55 | 87 | 81 | 62 | 82 | 65 | 62 | 0 | 56 | 91 | 23 | 7,750,000$/6yrs | |||
Tom Wilson | 0 | RW | 100.00 | 88 | 61 | 50 | 76 | 89 | 86 | 79 | 77 | 59 | 73 | 81 | 87 | 79 | 76 | 71 | 0 | 71 | 90 | 29 | 5,166,666$/1yrs | |||
Mason Marchment | 0 | C/LW/RW | 100.00 | 65 | 46 | 73 | 79 | 85 | 80 | 90 | 78 | 61 | 81 | 80 | 64 | 79 | 73 | 71 | 0 | 69 | 88 | 28 | 3,700,000$/4yrs | |||
Thomas Novak | 0 | C | 100.00 | 52 | 32 | 93 | 77 | 72 | 79 | 86 | 74 | 77 | 79 | 74 | 65 | 74 | 70 | 69 | 0 | 65 | 85 | 26 | 3,500,000$/3yrs | |||
Marcus Johansson | 0 | C/LW/RW | 100.00 | 59 | 33 | 94 | 70 | 80 | 83 | 90 | 73 | 59 | 77 | 72 | 65 | 72 | 81 | 81 | 0 | 60 | 84 | 33 | 1,200,000$/1yrs | |||
Travis Boyd | 72 | C/LW/RW | 100.00 | 61 | 32 | 90 | 68 | 74 | 81 | 87 | 70 | 80 | 73 | 71 | 73 | 71 | 76 | 75 | 0 | 77 | 82 | 30 | 775,000$/1yrs | |||
Hudson Fasching | 52 | LW/RW | 100.00 | 65 | 33 | 93 | 68 | 82 | 76 | 81 | 69 | 57 | 69 | 71 | 66 | 70 | 73 | 72 | 0 | 68 | 80 | 28 | 775,000$/2yrs | |||
Peyton Krebs | 0 | C/LW | 100.00 | 70 | 37 | 78 | 65 | 73 | 78 | 89 | 67 | 77 | 70 | 66 | 66 | 66 | 63 | 61 | 0 | 79 | 77 | 23 | 863,333$/1yrs | |||
Kris Letang | 0 | D | 100.00 | 73 | 33 | 65 | 78 | 78 | 96 | 90 | 80 | 30 | 85 | 65 | 90 | 72 | 88 | 97 | 0 | 72 | 94 | 36 | 7,250,000$/2yrs | |||
Miro Heiskanen | 4 | D | 100.00 | 63 | 33 | 87 | 84 | 77 | 98 | 90 | 77 | 30 | 88 | 70 | 77 | 74 | 67 | 73 | 0 | 79 | 91 | 24 | 8,000,000$/6yrs | |||
Brady Skjei | 0 | D | 100.00 | 62 | 33 | 83 | 76 | 84 | 91 | 90 | 75 | 30 | 80 | 71 | 81 | 73 | 76 | 74 | 0 | 81 | 89 | 29 | 5,250,000$/5yrs | |||
Alexandre Carrier | 0 | D | 100.00 | 68 | 32 | 79 | 64 | 68 | 86 | 90 | 72 | 30 | 72 | 62 | 87 | 67 | 71 | 69 | 0 | 81 | 85 | 27 | 2,500,000$/1yrs | |||
Christopher Tanev | 0 | D | 100.00 | 59 | 33 | 90 | 58 | 77 | 87 | 90 | 68 | 30 | 68 | 58 | 89 | 63 | 83 | 93 | 0 | 47 | 84 | 34 | 4,500,000$/2yrs | |||
Nikita Okhotyuk (R) | 0 | D | 100.00 | 83 | 33 | 57 | 68 | 77 | 84 | 84 | 69 | 30 | 71 | 50 | 85 | 59 | 64 | 59 | 0 | 34 | 84 | 23 | 789,167$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 68 | 36 | 77 | 75 | 78 | 86 | 88 | 76 | 55 | 78 | 73 | 76 | 75 | 74 | 75 | 0 | 71 | 88 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuse Saros | 0 | 98.00 | 93 | 95 | 85 | 72 | 92 | 85 | 93 | 94 | 92 | 92 | 93 | 74 | 79 | 0 | 82 | 93 | 28 | 4,250,000$/2yrs |
Logan Thompson | 0 | 100.00 | 95 | 91 | 79 | 84 | 88 | 67 | 88 | 94 | 76 | 95 | 88 | 71 | 75 | 0 | 84 | 90 | 27 | 775,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 94 | 93 | 82 | 78 | 90 | 76 | 91 | 94 | 84 | 94 | 91 | 73 | 77 | 0 | 83 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 85 | 83 | 85 | 84 | 86 | 80 | 88 | CAN | 59 | 1 | 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 | Vincent Trocheck | Panthers | 0 | C/RW | 68 | 27 | 54 | 81 | 41 | 46 | 0 | 99 | 222 | 53 | 151 | 12.16% | 13 | 18.61 | 2 | 18 | 20 | 206 | 0 | 0 | 0 | 167 | 8 | 3 | 54.79% | 1763 | 0 | 0 | 0 | 0 | 1.28 | 1 | 5 |
2 | Tage Thompson | Panthers | 0 | C/LW/RW | 68 | 32 | 39 | 71 | 9 | 11 | 5 | 20 | 317 | 83 | 201 | 10.09% | 10 | 18.04 | 11 | 13 | 24 | 224 | 0 | 0 | 0 | 37 | 6 | 1 | 50.31% | 1270 | 0 | 0 | 0 | 2 | 1.16 | 2 | 5 |
3 | Zach Hyman | Panthers | 0 | LW/RW | 68 | 33 | 31 | 64 | 42 | 21 | 5 | 34 | 190 | 53 | 156 | 17.37% | 7 | 16.51 | 9 | 6 | 15 | 157 | 0 | 1 | 1 | 67 | 4 | 2 | 43.00% | 100 | 0 | 0 | 1 | 0 | 1.14 | 0 | 0 |
4 | Brad Marchand | Panthers | 0 | LW | 69 | 27 | 34 | 61 | 25 | 24 | 0 | 93 | 262 | 71 | 181 | 10.31% | 8 | 16.93 | 3 | 11 | 14 | 204 | 0 | 0 | 0 | 14 | 8 | 4 | 41.67% | 108 | 0 | 0 | 0 | 1 | 1.04 | 1 | 3 |
5 | Kris Letang | Panthers | 0 | D | 69 | 10 | 44 | 54 | -8 | 97 | 5 | 145 | 128 | 32 | 69 | 7.81% | 78 | 22.36 | 5 | 12 | 17 | 194 | 0 | 0 | 0 | 42 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
6 | Miro Heiskanen | Panthers | 4 | D | 68 | 9 | 44 | 53 | 0 | 20 | 0 | 79 | 91 | 31 | 80 | 9.89% | 66 | 22.77 | 7 | 13 | 20 | 229 | 0 | 0 | 0 | 115 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 |
7 | Tom Wilson | Panthers | 0 | RW | 64 | 22 | 23 | 45 | 13 | 65 | 5 | 151 | 158 | 51 | 137 | 13.92% | 14 | 15.49 | 1 | 5 | 6 | 90 | 0 | 0 | 0 | 88 | 5 | 1 | 45.35% | 86 | 0 | 0 | 0 | 1 | 0.91 | 0 | 1 |
8 | Andrei Svechnikov | Panthers | 0 | LW/RW | 69 | 14 | 24 | 38 | -6 | 58 | 0 | 168 | 153 | 40 | 103 | 9.15% | 3 | 17.30 | 2 | 5 | 7 | 192 | 0 | 0 | 0 | 26 | 2 | 1 | 42.35% | 85 | 0 | 0 | 0 | 0 | 0.64 | 0 | 3 |
9 | Mason Marchment | Panthers | 0 | C/LW/RW | 69 | 11 | 22 | 33 | 10 | 53 | 5 | 150 | 126 | 48 | 116 | 8.73% | 12 | 18.01 | 1 | 2 | 3 | 145 | 0 | 0 | 0 | 82 | 2 | 0 | 37.62% | 101 | 0 | 0 | 0 | 0 | 0.53 | 0 | 4 |
10 | Brady Skjei | Panthers | 0 | D | 68 | 8 | 24 | 32 | 11 | 50 | 0 | 82 | 62 | 17 | 33 | 12.90% | 97 | 19.75 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 232 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 |
11 | Alexandre Carrier | Panthers | 0 | D | 68 | 2 | 28 | 30 | 16 | 40 | 0 | 80 | 51 | 9 | 36 | 3.92% | 79 | 17.05 | 0 | 1 | 1 | 41 | 0 | 1 | 1 | 99 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
12 | Christopher Tanev | Panthers | 0 | D | 66 | 7 | 19 | 26 | 17 | 51 | 5 | 56 | 54 | 17 | 38 | 12.96% | 93 | 18.97 | 3 | 4 | 7 | 79 | 1 | 0 | 1 | 195 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
13 | Thomas Novak | Panthers | 0 | C | 60 | 8 | 17 | 25 | -10 | 4 | 0 | 6 | 94 | 19 | 64 | 8.51% | 6 | 14.50 | 1 | 8 | 9 | 91 | 0 | 0 | 0 | 41 | 1 | 0 | 49.06% | 1066 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
14 | Travis Boyd | Panthers | 72 | C/LW/RW | 68 | 9 | 9 | 18 | 7 | 4 | 0 | 18 | 92 | 21 | 51 | 9.78% | 4 | 12.18 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 193 | 1 | 0 | 50.24% | 836 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
15 | Marcus Johansson | Panthers | 0 | C/LW/RW | 67 | 6 | 7 | 13 | 2 | 2 | 0 | 7 | 77 | 18 | 46 | 7.79% | 2 | 12.64 | 1 | 0 | 1 | 33 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 56 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
16 | Peyton Krebs | Panthers | 0 | C/LW | 68 | 1 | 4 | 5 | -14 | 22 | 0 | 80 | 70 | 22 | 47 | 1.43% | 2 | 10.92 | 0 | 1 | 1 | 84 | 0 | 0 | 0 | 0 | 0 | 0 | 45.95% | 296 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
17 | Nikita Okhotyuk | Panthers | 0 | D | 20 | 0 | 4 | 4 | 19 | 22 | 0 | 47 | 5 | 5 | 4 | 0.00% | 11 | 15.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
18 | Hudson Fasching | Panthers | 52 | LW/RW | 31 | 1 | 0 | 1 | -2 | 2 | 0 | 9 | 9 | 6 | 16 | 11.11% | 1 | 8.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 |
Team Total or Average | 1128 | 227 | 427 | 654 | 172 | 592 | 30 | 1324 | 2161 | 596 | 1529 | 10.50% | 506 | 16.77 | 46 | 100 | 146 | 2042 | 1 | 2 | 3 | 1457 | 41 | 15 | 50.40% | 5780 | 0 | 0 | 1 | 4 | 0.69 | 4 | 21 |
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 | Juuse Saros | Panthers | 46 | 26 | 13 | 6 | 0.910 | 2.74 | 2690 | 0 | 3 | 123 | 1374 | 0 | 1 | 2 | 0.750 | 12 | 45 | 23 | 7 | 2 | 0 |
2 | Logan Thompson | Panthers | 28 | 18 | 9 | 0 | 0.911 | 2.55 | 1649 | 2 | 1 | 70 | 785 | 0 | 1 | 2 | 0.000 | 0 | 27 | 37 | 2 | 0 | 1 |
Team Total or Average | 74 | 44 | 22 | 6 | 0.911 | 2.67 | 4340 | 2 | 4 | 193 | 2159 | 0 | 2 | 4 | 0.750 | 12 | 72 | 60 | 9 | 2 | 1 |
Projected Total Cap Hit | 82,443,051$ |
Projected Cap Space | 1,056,949$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 68,561,867$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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Alexandre Carrier | D | 27 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Andrei Svechnikov | LW/RW | 23 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | |
Brad Marchand | LW | 35 | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Brady Skjei | D | 29 | 5,250,000$ | 5,250,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Christopher Tanev | D | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Hudson Fasching | LW/RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Juuse Saros | G | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Kris Letang | D | 36 | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||||
Logan Thompson | G | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Marcus Johansson | C/LW/RW | 33 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Mason Marchment | C/LW/RW | 28 | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | |||
Miro Heiskanen | D | 24 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Nikita Okhotyuk | D | 23 | 789,167$ | 789,167$ | RFA | ||||||
Peyton Krebs | C/LW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Tage Thompson | C/LW/RW | 26 | 7,142,856$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA |
Thomas Novak | C | 26 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Tom Wilson | RW | 29 | 5,166,666$ | 5,166,666$ | UFA | ||||||
Travis Boyd | C/LW/RW | 30 | 775,000$ | 1,750,000$ | UFA | ||||||
Vincent Trocheck | C/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Zach Hyman | LW/RW | 31 | 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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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Aarne Talvitie | C | 25 | 0$ | RFA | |||||||
Adam Brooks | C | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Adam Sykora | LW/RW | 19 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Albin Grewe | LW | 22 | 0$ | RFA | |||||||
Alexander Petrovic | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Axel Andersson | D | 24 | 0$ | RFA | |||||||
Blade Jenkins | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Chad Krys | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Chase de Leo | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colby Barlow | LW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Daniil Gushchin | LW | 22 | 850,833$ | 850,833$ | RFA | ||||||
Dylan Wells | G | 26 | 0$ | RFA | |||||||
Francesco Pinelli | C | 20 | 0$ | RFA | |||||||
Gage Goncalves | C | 23 | 820,000$ | 820,000$ | RFA | ||||||
Helge Grans | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Isak Rosen | RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
J.C. Beaudin | C | 26 | 0$ | UFA | |||||||
Jack Kopacka | LW | 26 | 0$ | RFA | |||||||
Jake Leschyshyn | C | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Jeremy Davies | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jesper Wallstedt | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joona Luoto | LW/RW | 26 | 0$ | RFA | |||||||
Jordan Sambrook | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Josh Jacobs | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Kaedan Korczak | D | 23 | 789,167$ | 789,167$ | RFA | ||||||
Keith Petruzzelli | G | 25 | 817,500$ | 817,500$ | RFA | ||||||
Leon Gawanke | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Lukas Reichel | C/LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Matthew Benning | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Oskari Salminen | G | 24 | 855,000$ | 855,000$ | RFA | ||||||
Reid Schaefer | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Semyon Der-Arguchintsev | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Tye Felhaber | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Vasily Podkolzin | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Victor Mete | D | 25 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Yan Kuznetsov | D | 21 | 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 |
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1 | Flames | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 3 | 2 | 3 | 0 | 63 | 21 | 20 | 22 | 0 | 75 | 18 | 16 | 41 | 8 | 3 | 37.50% | 7 | 2 | 71.43% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 47 | 33 | 45 | 15 | 26 | 13 | 45.5% | 12.7% | 89.3% | 102.0 | FUN |
2 | Flyers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 81 | 22 | 29 | 30 | 0 | 61 | 17 | 20 | 35 | 5 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 49 | 33 | 45 | 13 | 24 | 12 | 83.3% | 6.2% | 96.7% | 102.9 | DULL |
3 | Devils | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 11 | 7 | 6 | 1.000 | 18 | 34 | 52 | 0 | 0 | 8 | 5 | 5 | 0 | 126 | 46 | 28 | 52 | 0 | 108 | 40 | 18 | 68 | 14 | 5 | 35.71% | 9 | 2 | 77.78% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 70 | 49 | 71 | 20 | 37 | 18 | 59.1% | 14.3% | 89.8% | 104.1 | FUN |
4 | Senators | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 0 | 1 | 67 | 30 | 18 | 18 | 1 | 56 | 22 | 8 | 31 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 51 | 38 | 44 | 13 | 24 | 12 | 40.0% | 7.5% | 87.5% | 95.0 | Unlucky |
5 | Islanders | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 1 | 0 | 2 | 1 | 2 | 0 | 56 | 18 | 19 | 16 | 7 | 74 | 30 | 20 | 37 | 3 | 0 | 0.00% | 10 | 2 | 80.00% | 1 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 42 | 28 | 56 | 15 | 26 | 12 | 45.5% | 8.9% | 89.2% | 98.1 | Unlucky |
6 | Hurricanes | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 10 | 3 | 5 | 0.833 | 13 | 24 | 37 | 0 | 0 | 4 | 5 | 4 | 0 | 121 | 40 | 41 | 36 | 4 | 93 | 18 | 26 | 58 | 17 | 4 | 23.53% | 11 | 1 | 90.91% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 79 | 56 | 66 | 23 | 37 | 18 | 50.0% | 10.7% | 89.2% | 100.0 | FUN |
7 | Avalanche | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 1 | 3 | 5 | 2 | 0 | 83 | 25 | 32 | 26 | 0 | 45 | 9 | 12 | 40 | 12 | 4 | 33.33% | 5 | 1 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 55 | 40 | 39 | 14 | 25 | 13 | 75.0% | 12.0% | 93.3% | 105.4 | LUCKY |
8 | Rangers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 17 | 26 | 1 | 0 | 6 | 0 | 3 | 0 | 70 | 25 | 19 | 26 | 0 | 52 | 15 | 20 | 35 | 4 | 1 | 25.00% | 10 | 2 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 45 | 31 | 47 | 14 | 26 | 13 | 66.7% | 12.9% | 88.5% | 101.3 | FUN |
9 | Red Wings | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 28 | 42 | 0 | 0 | 4 | 5 | 4 | 1 | 120 | 43 | 50 | 26 | 1 | 102 | 26 | 27 | 40 | 16 | 5 | 31.25% | 6 | 0 | 100.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 78 | 56 | 66 | 20 | 35 | 19 | 50.0% | 11.7% | 91.2% | 102.8 | LUCKY |
10 | Canadiens | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 2 | 2 | 2 | 88 | 34 | 26 | 23 | 5 | 87 | 31 | 32 | 58 | 6 | 1 | 16.67% | 16 | 3 | 81.25% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 66 | 43 | 78 | 22 | 38 | 19 | 80.0% | 10.2% | 94.3% | 104.5 | LUCKY |
11 | Capitals | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 4 | 0.667 | 14 | 28 | 42 | 0 | 0 | 1 | 6 | 6 | 1 | 105 | 25 | 38 | 39 | 3 | 95 | 30 | 32 | 64 | 10 | 2 | 20.00% | 16 | 3 | 81.25% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 75 | 53 | 69 | 21 | 38 | 19 | 63.2% | 13.3% | 89.5% | 102.8 | FUN |
12 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 5 | 3 | 3 | 0 | 64 | 19 | 26 | 19 | 0 | 56 | 10 | 12 | 60 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 52 | 37 | 41 | 14 | 25 | 13 | 68.8% | 17.2% | 89.3% | 106.5 | FUN |
13 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 0 | 61 | 16 | 20 | 25 | 0 | 53 | 13 | 39 | 49 | 4 | 1 | 25.00% | 11 | 2 | 81.82% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 45 | 29 | 47 | 14 | 27 | 13 | 75.0% | 11.5% | 92.5% | 103.9 | LUCKY |
14 | Kings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 54 | 15 | 18 | 21 | 0 | 79 | 26 | 10 | 33 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 45 | 31 | 50 | 14 | 24 | 11 | 37.5% | 5.6% | 92.4% | 98.0 | DULL |
15 | Predators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 1 | 1 | 0 | 25 | 10 | 4 | 11 | 0 | 23 | 8 | 14 | 24 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 22 | 14 | 24 | 8 | 13 | 6 | 50.0% | 8.0% | 82.6% | 90.6 | Unlucky |
16 | Lightning | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 2 | 0.333 | 13 | 22 | 35 | 0 | 0 | 5 | 5 | 3 | 0 | 110 | 34 | 39 | 37 | 0 | 85 | 25 | 47 | 60 | 9 | 2 | 22.22% | 13 | 3 | 76.92% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 78 | 55 | 64 | 21 | 37 | 18 | 61.1% | 11.8% | 88.2% | 100.1 | FUN |
17 | Oilers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 60 | 15 | 29 | 13 | 6 | 60 | 21 | 20 | 40 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 48 | 33 | 50 | 15 | 26 | 13 | 58.3% | 13.3% | 86.7% | 100.0 | FUN |
18 | Blues | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 2 | 3 | 0 | 0 | 38 | 14 | 14 | 10 | 0 | 69 | 15 | 20 | 37 | 2 | 1 | 50.00% | 10 | 2 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 40 | 25 | 54 | 15 | 25 | 12 | 36.4% | 13.2% | 87.0% | 100.1 | FUN |
19 | Coyotes | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 3 | 1 | 2 | 0 | 49 | 17 | 15 | 17 | 0 | 70 | 21 | 18 | 38 | 8 | 2 | 25.00% | 9 | 0 | 100.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 46 | 31 | 48 | 13 | 25 | 12 | 57.1% | 12.2% | 95.7% | 108.0 | LUCKY |
20 | Bruins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 2 | 1 | 61 | 15 | 23 | 22 | 1 | 52 | 8 | 12 | 46 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 50 | 34 | 49 | 15 | 24 | 12 | 50.0% | 8.2% | 88.5% | 96.7 | Unlucky |
21 | Sabres | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 2 | 4 | 5 | 0 | 72 | 24 | 23 | 25 | 0 | 77 | 18 | 28 | 58 | 5 | 2 | 40.00% | 13 | 4 | 69.23% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 46 | 30 | 46 | 14 | 26 | 13 | 69.2% | 15.3% | 89.6% | 104.9 | FUN |
22 | Blackhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 59 | 24 | 12 | 23 | 0 | 64 | 21 | 20 | 37 | 12 | 1 | 8.33% | 9 | 1 | 88.89% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 49 | 33 | 45 | 15 | 25 | 12 | 50.0% | 8.5% | 92.2% | 100.7 | DULL |
23 | Blue Jackets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 61 | 12 | 28 | 21 | 0 | 68 | 12 | 18 | 31 | 9 | 2 | 22.22% | 9 | 2 | 77.78% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 47 | 33 | 49 | 14 | 22 | 10 | 0.0% | 3.3% | 92.6% | 95.9 | DULL |
24 | Jets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 3 | 2 | 1 | 0 | 63 | 24 | 20 | 19 | 0 | 67 | 20 | 14 | 50 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 47 | 33 | 48 | 14 | 24 | 12 | 83.3% | 9.5% | 97.0% | 106.5 | LUCKY |
25 | Ducks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 50 | 15 | 23 | 12 | 0 | 60 | 15 | 22 | 37 | 6 | 2 | 33.33% | 8 | 4 | 50.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 43 | 30 | 51 | 15 | 24 | 11 | 25.0% | 6.0% | 88.3% | 94.3 | Unlucky |
26 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 57 | 16 | 20 | 21 | 0 | 57 | 21 | 20 | 45 | 7 | 2 | 28.57% | 10 | 3 | 70.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 43 | 29 | 50 | 13 | 26 | 12 | 40.0% | 7.0% | 89.5% | 96.5 | Unlucky |
27 | Maple Leafs | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 2 | 5 | 4 | 1 | 71 | 13 | 24 | 32 | 4 | 63 | 15 | 16 | 30 | 8 | 2 | 25.00% | 8 | 3 | 62.50% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 49 | 33 | 48 | 15 | 27 | 13 | 71.4% | 16.9% | 88.9% | 105.8 | FUN |
28 | Penguins | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 5 | 5 | 5 | 0.833 | 10 | 18 | 28 | 0 | 1 | 4 | 5 | 0 | 2 | 106 | 35 | 28 | 35 | 13 | 72 | 30 | 10 | 49 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 76 | 53 | 73 | 22 | 40 | 21 | 66.7% | 9.4% | 93.1% | 102.5 | LUCKY |
29 | Sharks | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 63 | 18 | 21 | 24 | 0 | 47 | 11 | 10 | 34 | 9 | 2 | 22.22% | 4 | 2 | 50.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 53 | 38 | 41 | 14 | 25 | 13 | 11.1% | 4.8% | 78.7% | 83.5 | Unlucky |
30 | Golden Knights | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 60 | 20 | 17 | 21 | 2 | 41 | 5 | 14 | 51 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 48 | 34 | 45 | 15 | 26 | 14 | 40.0% | 5.0% | 92.7% | 97.7 | DULL |
31 | Kraken | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 51 | 16 | 16 | 19 | 0 | 45 | 15 | 10 | 29 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 47 | 31 | 43 | 15 | 28 | 15 | 72.7% | 17.6% | 91.1% | 108.8 | Unlucky |
_Vs Division | 17 | 7 | 4 | 0 | 5 | 0 | 1 | 0 | 69 | 52 | 17 | 26 | 0.765 | 69 | 127 | 196 | 0 | 0 | 20 | 23 | 20 | 6 | 589 | 193 | 203 | 183 | 12 | 522 | 145 | 170 | 323 | 52 | 14 | 26.92% | 66 | 16 | 75.76% | 0 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 421 | 291 | 397 | 123 | 215 | 108 | 60.4% | 11.7% | 90.0% | 101.8 | FUN | |
_Vs Conference | 37 | 17 | 9 | 0 | 6 | 1 | 2 | 2 | 145 | 109 | 36 | 53 | 0.716 | 145 | 271 | 416 | 2 | 1 | 49 | 45 | 43 | 9 | 1315 | 416 | 433 | 438 | 39 | 1145 | 337 | 334 | 700 | 122 | 28 | 22.95% | 143 | 29 | 79.72% | 1 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 908 | 631 | 879 | 270 | 469 | 235 | 59.4% | 11.0% | 90.5% | 101.5 | FUN | |
_Since Last GM Reset | 68 | 33 | 20 | 0 | 6 | 4 | 2 | 3 | 238 | 197 | 41 | 89 | 0.654 | 238 | 442 | 680 | 4 | 4 | 83 | 76 | 71 | 9 | 2215 | 701 | 740 | 741 | 47 | 2056 | 586 | 605 | 1345 | 233 | 50 | 21.46% | 260 | 55 | 78.85% | 1 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 1645 | 1139 | 1608 | 502 | 870 | 437 | 57.0% | 10.7% | 90.4% | 101.2 | FUN | |
Total | 68 | 33 | 20 | 0 | 6 | 4 | 2 | 3 | 238 | 197 | 41 | 89 | 0.654 | 238 | 442 | 680 | 4 | 4 | 83 | 76 | 71 | 9 | 2215 | 701 | 740 | 741 | 47 | 2056 | 586 | 605 | 1345 | 233 | 50 | 21.46% | 260 | 55 | 78.85% | 1 | 1207 | 2396 | 50.38% | 1211 | 2366 | 51.18% | 542 | 1085 | 49.95% | 1645 | 1139 | 1608 | 502 | 870 | 437 | 57.0% | 10.7% | 90.4% | 101.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2396 |
Neutral Zone Start | 1085 |
Defensive Zone Start | 2366 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2960 |
Faceoffs Lost | 2887 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 183 |
---|---|
PP Goal | 50 |
PK Goal | 1 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 23 | 18 |
Lost | 7 | 13 |
Overtime Lost | 3 | 4 |
PP Attempt | 233 |
---|---|
PP Goal | 50 |
PK Attempt | 260 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 32.6 |
Shots Against | 30.2 |
Goals For | 3.5 |
Goals Against | 2.9 |
Hits | 19.8 |
Shots Blocked | 8.6 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-12 | Panthers | @ | Wild | Panthers7,Wild4 | RECAP | |||||||||
2023-10-14 | Panthers | @ | Jets | Panthers3,Jets0 | RECAP | |||||||||
2023-10-16 | Panthers | @ | Devils | Panthers7,Devils5 | RECAP | |||||||||
2023-10-19 | Maple Leafs | @ | Panthers | Maple Leafs4,Panthers5 (SO) | RECAP | |||||||||
2023-10-21 | Canucks | @ | Panthers | Canucks2,Panthers3 | RECAP | |||||||||
2023-10-24 | Sharks | @ | Panthers | Sharks3,Panthers2 (OT) | RECAP | |||||||||
2023-10-28 | Kraken | @ | Panthers | Kraken1,Panthers5 | RECAP | |||||||||
2023-10-30 | Panthers | @ | Bruins | Panthers1,Bruins3 | RECAP | |||||||||
2023-11-02 | Panthers | @ | Red Wings | Panthers3,Red Wings2 (OT) | RECAP | |||||||||
2023-11-04 | Panthers | @ | Blackhawks | Panthers2,Blackhawks4 | RECAP | |||||||||
2023-11-06 | Blue Jackets | @ | Panthers | Blue Jackets2,Panthers1 | RECAP | |||||||||
2023-11-08 | Panthers | @ | Capitals | Panthers3,Capitals5 | RECAP | |||||||||
2023-11-10 | Hurricanes | @ | Panthers | Hurricanes3,Panthers5 | RECAP | |||||||||
2023-11-12 | Blackhawks | @ | Panthers | Blackhawks1,Panthers3 | RECAP | |||||||||
2023-11-14 | Panthers | @ | Sharks | Panthers1,Sharks7 | RECAP | |||||||||
2023-11-16 | Panthers | @ | Kings | Panthers2,Kings3 | RECAP | |||||||||
2023-11-17 | Panthers | @ | Ducks | Panthers1,Ducks3 | RECAP | |||||||||
2023-11-20 | Oilers | @ | Panthers | Oilers3,Panthers4 | RECAP | |||||||||
2023-11-22 | Bruins | @ | Panthers | Bruins3,Panthers4 (OT) | RECAP | |||||||||
2023-11-24 | Jets | @ | Panthers | Jets2,Panthers3 | RECAP | |||||||||
2023-11-27 | Panthers | @ | Senators | Panthers1,Senators4 | RECAP | |||||||||
2023-11-28 | Panthers | @ | Maple Leafs | Panthers7,Maple Leafs3 | RECAP | |||||||||
2023-11-30 | Panthers | @ | Canadiens | Panthers2,Canadiens1 (OT) | RECAP | |||||||||
2023-12-02 | Islanders | @ | Panthers | Islanders5,Panthers3 | RECAP | |||||||||
2023-12-06 | Stars | @ | Panthers | Stars5,Panthers1 | RECAP | |||||||||
2023-12-08 | Penguins | @ | Panthers | Penguins2,Panthers3 (SO) | RECAP | |||||||||
2023-12-10 | Panthers | @ | Blue Jackets | Panthers1,Blue Jackets3 | RECAP | |||||||||
2023-12-12 | Panthers | @ | Kraken | Panthers4,Kraken3 | RECAP | |||||||||
2023-12-14 | Panthers | @ | Canucks | Panthers4,Canucks2 | RECAP | |||||||||
2023-12-16 | Panthers | @ | Oilers | Panthers4,Oilers5 (SO) | RECAP | |||||||||
2023-12-18 | Panthers | @ | Flames | Panthers4,Flames2 | RECAP | |||||||||
2023-12-21 | Blues | @ | Panthers | Blues3,Panthers2 (OT) | RECAP | |||||||||
2023-12-23 | Golden Knights | @ | Panthers | Golden Knights2,Panthers1 (OT) | RECAP | |||||||||
2023-12-27 | Panthers | @ | Lightning | Panthers3,Lightning4 | RECAP | |||||||||
2023-12-29 | Rangers | @ | Panthers | Rangers4,Panthers2 | RECAP | |||||||||
2023-12-30 | Canadiens | @ | Panthers | Canadiens1,Panthers3 | RECAP | |||||||||
2024-01-02 | Panthers | @ | Coyotes | Panthers2,Coyotes3 | RECAP | |||||||||
2024-01-04 | Panthers | @ | Golden Knights | Panthers2,Golden Knights1 | RECAP | |||||||||
2024-01-06 | Panthers | @ | Avalanche | Panthers4,Avalanche0 | RECAP | |||||||||
2024-01-09 | Panthers | @ | Blues | Panthers3,Blues6 | RECAP | |||||||||
2024-01-11 | Kings | @ | Panthers | Kings3,Panthers1 | RECAP | |||||||||
2024-01-13 | Devils | @ | Panthers | Devils4,Panthers7 | RECAP | |||||||||
2024-01-15 | Ducks | @ | Panthers | Ducks4,Panthers2 | RECAP | |||||||||
2024-01-17 | Red Wings | @ | Panthers | Red Wings2,Panthers4 | RECAP | |||||||||
2024-01-19 | Wild | @ | Panthers | Wild2,Panthers4 | RECAP | |||||||||
2024-01-22 | Panthers | @ | Predators | Panthers2,Predators4 | RECAP | |||||||||
2024-01-24 | Coyotes | @ | Panthers | Coyotes0,Panthers4 | RECAP | |||||||||
2024-01-26 | Panthers | @ | Penguins | Panthers2,Penguins3 (SO) | RECAP | |||||||||
2024-01-27 | Panthers | @ | Islanders | Panthers2,Islanders3 (SO) | RECAP | |||||||||
2024-02-06 | Flyers | @ | Panthers | Flyers1,Panthers2 | RECAP | |||||||||
2024-02-08 | Capitals | @ | Panthers | Capitals3,Panthers4 (OT) | RECAP | |||||||||
2024-02-10 | Avalanche | @ | Panthers | Avalanche3,Panthers6 | RECAP | |||||||||
2024-02-14 | Panthers | @ | Penguins | Panthers5,Penguins0 | RECAP | |||||||||
2024-02-15 | Panthers | @ | Sabres | Panthers5,Sabres4 | RECAP | |||||||||
2024-02-17 | Panthers | @ | Lightning | Panthers2,Lightning4 | RECAP | |||||||||
2024-02-20 | Senators | @ | Panthers | Senators3,Panthers4 (OT) | RECAP | |||||||||
2024-02-22 | Panthers | @ | Hurricanes | Panthers4,Hurricanes5 (OT) | RECAP | |||||||||
2024-02-24 | Capitals | @ | Panthers | Capitals2,Panthers7 | RECAP | |||||||||
2024-02-27 | Sabres | @ | Panthers | Sabres4,Panthers6 | RECAP | |||||||||
2024-02-29 | Canadiens | @ | Panthers | Canadiens3,Panthers4 (OT) | RECAP | |||||||||
2024-03-02 | Panthers | @ | Red Wings | Panthers7,Red Wings5 | RECAP | |||||||||
2024-03-04 | Panthers | @ | Rangers | Panthers7,Rangers2 | RECAP | |||||||||
2024-03-05 | Panthers | @ | Devils | Panthers4,Devils2 | RECAP | |||||||||
2024-03-07 | Flyers | @ | Panthers | Flyers1,Panthers3 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-03-09 | Flames | @ | Panthers | Flames6,Panthers4 | RECAP | |||||||||
2024-03-12 | Panthers | @ | Stars | Panthers3,Stars1 | RECAP | |||||||||
2024-03-14 | Panthers | @ | Hurricanes | Panthers4,Hurricanes2 | RECAP | |||||||||
2024-03-16 | Lightning | @ | Panthers | Lightning2,Panthers8 | RECAP | |||||||||
2024-03-21 | Predators | @ | Panthers | |||||||||||
2024-03-23 | Panthers | @ | Rangers | |||||||||||
2024-03-24 | Panthers | @ | Flyers | |||||||||||
2024-03-26 | Bruins | @ | Panthers | |||||||||||
2024-03-28 | Islanders | @ | Panthers | |||||||||||
2024-03-30 | Red Wings | @ | Panthers | |||||||||||
2024-04-01 | Panthers | @ | Maple Leafs | |||||||||||
2024-04-02 | Panthers | @ | Canadiens | |||||||||||
2024-04-04 | Panthers | @ | Senators | |||||||||||
2024-04-06 | Panthers | @ | Bruins | |||||||||||
2024-04-09 | Senators | @ | Panthers | |||||||||||
2024-04-11 | Blue Jackets | @ | Panthers | |||||||||||
2024-04-13 | Sabres | @ | Panthers | |||||||||||
2024-04-16 | Maple Leafs | @ | Panthers |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,287,023$ | 0$ | 82,443,051$ | 212,977$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | BBT Center | ||
City | Florida | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 186930 | 157823 | 63035 | 125330 | 31372 |
Attendance PCT | 94.41% | 95.65% | 95.51% | 94.95% | 95.07% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 17106 - 95.03% | 1,543,138$ | 50,923,554$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,287,023$ | 82,312,022$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
69,395,206$ | 433,787$ | 68,561,867$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
12,345,104$ | 32 | 438,995$ | 14,047,840$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,531,575$ | 83,287,023$ | 98,420,233$ | 96,233,762$ |
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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2024 | ||||||||
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Ingram | Panthers | 2022 | 56 | ||
Benjamin Roger | Panthers | 2021 | 80 | ||
Blake Biondi | Panthers | 2020 | 110 | ||
Cameron Berg | Panthers | 2020 | 216 | ||
Cameron Whynot | Panthers | 2021 | 84 | ||
Case McCarthy | Panthers | 2019 | 136 | 2.5 - 4.0 | |
Chase Yoder | Panthers | ||||
David Edstrom | Panthers | 2023 | 32 | ||
Dylan Peterson | Panthers | 2020 | 91 | ||
Haakon Hanelt | Panthers | 2021 | 152 | ||
Isak Walther | Panthers | 2019 | 192 | 5.5 - 5.0 | |
James Hardie | Panthers | 2020 | 134 | ||
Jaromir Pytlik | Panthers | 2020 | 60 | ||
Landon Slaggert | Panthers | 2020 | 146 | ||
Nicholas Moldenhauer | Panthers | 2022 | 64 | ||
Niklas Kokko | Panthers | 2022 | 81 | ||
Noel Nordh | Panthers | 2023 | 96 | ||
Pano Fimis | Panthers | 2022 | 54 | ||
Sergei Murashov | Panthers | 2022 | 113 | ||
Taige Harding | Panthers | 2021 | 100 | ||
Wyatt Schingoethe | Panthers | 2020 | 163 |
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