Full Scoreboard »» |
Floride Panthers Team Overall:71 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 5' 11" | 180 | 27 | 66 | 64 | 95 | 91 | 71 | 83 | 90 | 82 | 77 | 84 | 88 | 66 | 68 | 70 | 59 | 0 | 40 | 83 | 100.00 | 6,750,000$/1yrs | |
0 | ![]() | C/RW | 6' 2" | 200 | 26 | 76 | 64 | 79 | 79 | 78 | 80 | 93 | 74 | 57 | 77 | 86 | 75 | 78 | 70 | 59 | 0 | 40 | 80 | 100.00 | 2,000,000$/3yrs | |
0 | ![]() | C | 6' 1" | 202 | 28 | 72 | 40 | 89 | 75 | 80 | 80 | 92 | 73 | 88 | 84 | 70 | 73 | 56 | 78 | 65 | 0 | 40 | 78 | 100.00 | 4,850,000$/1yrs | |
0 | ![]() | C | 6' 0" | 206 | 34 | 74 | 40 | 81 | 81 | 84 | 79 | 93 | 70 | 80 | 82 | 69 | 76 | 55 | 84 | 73 | 0 | 40 | 78 | 100.00 | 5,350,000$/1yrs | |
0 | ![]() | C | 6' 2" | 189 | 24 | 70 | 40 | 82 | 78 | 72 | 79 | 92 | 75 | 69 | 84 | 74 | 68 | 56 | 63 | 59 | 0 | 40 | 77 | 100.00 | 1,400,833$/1yrs | |
0 | ![]() | C | 6' 4" | 212 | 22 | 73 | 65 | 75 | 82 | 81 | 80 | 81 | 70 | 59 | 79 | 71 | 71 | 96 | 61 | 58 | 0 | 40 | 76 | 100.00 | 3,425,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 169 | 27 | 72 | 65 | 91 | 79 | 64 | 73 | 76 | 73 | 53 | 84 | 70 | 64 | 54 | 71 | 59 | 0 | 40 | 75 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | LW | 5' 10" | 184 | 27 | 75 | 40 | 79 | 75 | 75 | 76 | 93 | 67 | 54 | 77 | 69 | 68 | 54 | 65 | 59 | 0 | 40 | 74 | 100.00 | 715,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 194 | 26 | 73 | 40 | 86 | 72 | 76 | 68 | 86 | 66 | 57 | 77 | 69 | 68 | 54 | 67 | 59 | 0 | 40 | 73 | 100.00 | 3,200,000$/1yrs | |
0 | ![]() | C | 5' 9" | 170 | 25 | 75 | 64 | 76 | 75 | 68 | 66 | 91 | 64 | 79 | 77 | 65 | 73 | 54 | 62 | 58 | 0 | 40 | 72 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | C | 6' 0" | 190 | 27 | 74 | 66 | 83 | 69 | 75 | 62 | 87 | 63 | 64 | 73 | 69 | 68 | 60 | 65 | 59 | 0 | 40 | 71 | 100.00 | 1,037,500$/3yrs | |
0 | ![]() | RW | 6' 1" | 205 | 30 | 83 | 66 | 85 | 60 | 82 | 65 | 77 | 65 | 73 | 75 | 65 | 70 | 54 | 63 | 59 | 0 | 40 | 71 | 100.00 | 733,333$/2yrs | |
0 | ![]() | C | 6' 4" | 220 | 24 | 74 | 64 | 84 | 68 | 85 | 67 | 77 | 61 | 58 | 73 | 64 | 74 | 54 | 57 | 58 | 0 | 40 | 71 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | LW | 6' 3" | 216 | 25 | 80 | 68 | 72 | 63 | 85 | 66 | 77 | 61 | 57 | 72 | 65 | 70 | 54 | 61 | 58 | 0 | 40 | 70 | 100.00 | 863,333$/1yrs | |
0 | ![]() | LW | 6' 1" | 220 | 32 | 93 | 87 | 84 | 62 | 90 | 59 | 94 | 58 | 53 | 69 | 61 | 73 | 54 | 73 | 60 | 0 | 40 | 70 | 100.00 | 700,000$/1yrs | |
0 | ![]() | RW | 6' 2" | 204 | 22 | 74 | 70 | 75 | 64 | 80 | 64 | 75 | 64 | 54 | 76 | 67 | 66 | 57 | 59 | 58 | 0 | 40 | 70 | 100.00 | 1,462,500$/1yrs | |
0 | ![]() | C | 6' 2" | 195 | 24 | 72 | 40 | 72 | 60 | 75 | 78 | 69 | 56 | 71 | 71 | 68 | 64 | 58 | 58 | 58 | 0 | 40 | 69 | 100.00 | 1,633,333$/3yrs | |
0 | ![]() | C | 5' 11" | 190 | 34 | 74 | 66 | 85 | 65 | 77 | 64 | 90 | 56 | 88 | 68 | 60 | 77 | 54 | 77 | 66 | 0 | 40 | 69 | 100.00 | 1,575,000$/3yrs | |
0 | ![]() | RW | 6' 1" | 217 | 26 | 84 | 82 | 78 | 61 | 88 | 63 | 76 | 59 | 52 | 72 | 61 | 75 | 54 | 58 | 58 | 0 | 40 | 69 | 100.00 | 730,000$/2yrs | |
0 | ![]() | RW | 6' 3" | 184 | 23 | 78 | 40 | 87 | 65 | 68 | 64 | 81 | 58 | 69 | 70 | 61 | 75 | 54 | 58 | 58 | 0 | 40 | 68 | 100.00 | 894,167$/3yrs | |
0 | ![]() | LW/RW | 6' 1" | 208 | 21 | 70 | 34 | 77 | 61 | 79 | 85 | 91 | 57 | 63 | 59 | 60 | 61 | 59 | 61 | 63 | 0 | 40 | 66 | 100.00 | 863,333$/3yrs | |
0 | ![]() | C | 5' 11" | 180 | 20 | 59 | 37 | 89 | 65 | 68 | 79 | 61 | 64 | 72 | 63 | 59 | 62 | 66 | 61 | 62 | 0 | 40 | 66 | 100.00 | 850,000$/3yrs | |
0 | ![]() | C | 5' 11" | 183 | 26 | 57 | 57 | 67 | 65 | 62 | 64 | 63 | 64 | 55 | 63 | 66 | 63 | 56 | 62 | 58 | 0 | 40 | 65 | 100.00 | 735,000$/2yrs | |
0 | ![]() | C | 6' 1" | 185 | 24 | 55 | 63 | 66 | 64 | 62 | 67 | 65 | 64 | 70 | 59 | 66 | 57 | 57 | 60 | 56 | 0 | 40 | 64 | 100.00 | 1,744,166$/1yrs | |
0 | ![]() | C | 6' 0" | 185 | 21 | 55 | 58 | 63 | 63 | 61 | 68 | 66 | 64 | 70 | 61 | 62 | 62 | 60 | 55 | 53 | 0 | 40 | 64 | 100.00 | 1,005,000$/3yrs | |
0 | ![]() | C | 6' 2" | 200 | 23 | 55 | 58 | 66 | 61 | 66 | 66 | 64 | 60 | 69 | 58 | 61 | 56 | 54 | 57 | 54 | 0 | 40 | 62 | 100.00 | 910,833$/2yrs | |
0 | ![]() | LW | 6' 1" | 221 | 26 | 58 | 55 | 62 | 56 | 71 | 64 | 63 | 56 | 55 | 56 | 56 | 61 | 54 | 63 | 58 | 0 | 40 | 60 | 100.00 | 735,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 192 | 21 | 55 | 55 | 65 | 61 | 63 | 66 | 64 | 57 | 55 | 56 | 57 | 60 | 57 | 55 | 53 | 0 | 40 | 60 | 100.00 | 925,000$/3yrs | |
0 | ![]() | C | 5' 11" | 170 | 22 | 54 | 55 | 68 | 57 | 57 | 65 | 63 | 58 | 70 | 56 | 58 | 60 | 54 | 55 | 53 | 0 | 40 | 60 | 100.00 | 809,444$/3yrs | |
0 | ![]() | C | 6' 1" | 215 | 30 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 5,571,429$/1yrs | |
0 | ![]() | D | 5' 11" | 187 | 24 | 74 | 40 | 80 | 99 | 75 | 99 | 83 | 81 | 40 | 93 | 72 | 87 | 58 | 62 | 65 | 0 | 40 | 86 | 100.00 | 2,854,166$/1yrs | |
0 | ![]() | D | 6' 3" | 215 | 33 | 67 | 40 | 87 | 88 | 84 | 93 | 90 | 72 | 40 | 85 | 66 | 85 | 54 | 85 | 82 | 0 | 40 | 82 | 100.00 | 6,500,000$/1yrs | |
0 | ![]() | D | 6' 0" | 185 | 28 | 68 | 64 | 80 | 83 | 73 | 94 | 91 | 77 | 40 | 90 | 68 | 76 | 54 | 70 | 67 | 0 | 40 | 80 | 100.00 | 3,150,000$/1yrs | |
0 | ![]() | D | 6' 4" | 215 | 27 | 71 | 40 | 71 | 74 | 83 | 92 | 84 | 67 | 40 | 77 | 66 | 84 | 54 | 75 | 71 | 0 | 40 | 78 | 100.00 | 7,500,000$/1yrs | |
0 | ![]() | D | 6' 4" | 224 | 25 | 85 | 64 | 78 | 69 | 87 | 82 | 87 | 60 | 40 | 74 | 59 | 88 | 54 | 64 | 59 | 0 | 40 | 75 | 100.00 | 890,000$/1yrs | |
0 | ![]() | D | 6' 3" | 218 | 31 | 78 | 73 | 59 | 87 | 86 | 78 | 70 | 61 | 40 | 77 | 59 | 83 | 54 | 71 | 67 | 0 | 40 | 75 | 100.00 | 4,100,000$/2yrs | |
0 | ![]() | D | 6' 0" | 200 | 23 | 67 | 40 | 79 | 80 | 81 | 86 | 82 | 59 | 40 | 73 | 60 | 83 | 54 | 63 | 58 | 0 | 40 | 74 | 100.00 | 1,279,166$/1yrs | |
0 | ![]() | D | 6' 2" | 207 | 28 | 71 | 40 | 88 | 72 | 81 | 80 | 89 | 61 | 40 | 74 | 62 | 84 | 54 | 74 | 60 | 0 | 40 | 74 | 100.00 | 4,083,333$/1yrs | |
0 | ![]() | D | 6' 3" | 203 | 24 | 82 | 66 | 79 | 56 | 78 | 82 | 86 | 57 | 40 | 70 | 59 | 84 | 54 | 58 | 58 | 0 | 40 | 71 | 100.00 | 809,166$/2yrs | |
0 | ![]() | D | 5' 11" | 191 | 33 | 74 | 40 | 82 | 68 | 77 | 70 | 78 | 56 | 40 | 70 | 57 | 84 | 54 | 64 | 59 | 0 | 40 | 70 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 7" | 242 | 24 | 74 | 70 | 69 | 60 | 92 | 68 | 68 | 56 | 40 | 70 | 58 | 80 | 54 | 58 | 58 | 0 | 40 | 69 | 100.00 | 1,075,833$/1yrs | |
0 | ![]() | D | 6' 4" | 208 | 26 | 68 | 40 | 90 | 62 | 79 | 66 | 67 | 53 | 40 | 68 | 55 | 84 | 54 | 62 | 58 | 0 | 40 | 68 | 100.00 | 850,000$/1yrs | |
0 | ![]() | D | 5' 10" | 198 | 29 | 55 | 57 | 65 | 61 | 63 | 66 | 64 | 61 | 40 | 61 | 56 | 63 | 54 | 67 | 60 | 0 | 40 | 63 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | D | 5' 10" | 174 | 24 | 55 | 54 | 67 | 55 | 57 | 58 | 57 | 57 | 40 | 57 | 55 | 61 | 54 | 61 | 56 | 0 | 40 | 59 | 100.00 | 2,175,000$/3yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 4" | 206 | 24 | 82 | 89 | 89 | 75 | 89 | 75 | 58 | 55 | 0 | 40 | 82 | 100.00 | 925,000$/1yrs | |||||||
0 | ![]() | 6' 2" | 179 | 29 | 75 | 75 | 74 | 82 | 82 | 86 | 58 | 55 | 0 | 40 | 77 | 100.00 | 750,000$/2yrs | |||||||
0 | ![]() | 6' 3" | 183 | 29 | 59 | 73 | 74 | 72 | 75 | 90 | 62 | 56 | 0 | 40 | 71 | 100.00 | 874,125$/1yrs | |||||||
0 | ![]() | 6' 1" | 174 | 22 | 59 | 62 | 62 | 59 | 67 | 68 | 56 | 53 | 0 | 40 | 61 | 100.00 | 910,833$/3yrs | |||||||
0 | ![]() | 6' 4" | 250 | 31 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 54 | 100.00 | 5,000,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 84 | 91 | 90 | 76 | 82 | 76 | 67 | CAN | 56 | 1 | 4,300,000$ |
General Manager | Marc-André Gouin |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|
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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 49 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 27 | 7,500,000$ | 7,500,000$ | |||||||
Adrian Kempe ![]() | C/RW | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Alex Beaucage ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Alex Pietrangelo ![]() | D | 33 | 6,500,000$ | 6,500,000$ | |||||||
Andrew Mangiapane ![]() | LW | 27 | 715,000$ | 715,000$ | |||||||
Anthony Richard ![]() | C | 26 | 735,000$ | 735,000$ | 735,000$ | ||||||
Benoit-Olivier Groulx ![]() | C | 23 | 910,833$ | 910,833$ | 910,833$ | ||||||
Blake Lizotte ![]() | C | 25 | 1,491,667$ | 1,491,667$ | |||||||
Bokondji Imama ![]() | LW | 26 | 735,000$ | 735,000$ | |||||||
Brayden Point ![]() | C | 27 | 6,750,000$ | 6,750,000$ | |||||||
Cale Makar ![]() | D | 24 | 2,854,166$ | 2,854,166$ | |||||||
Chad Ruhwedel ![]() | D | 33 | 700,000$ | 700,000$ | |||||||
Charlie Lindgren ![]() | LW | 29 | 750,000$ | 750,000$ | 750,000$ | ||||||
Connor Carrick ![]() | D | 29 | 1,500,000$ | 1,500,000$ | |||||||
Connor Zary ![]() | C | 21 | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | |||||
Elias Lindholm ![]() | C | 28 | 4,850,000$ | 4,850,000$ | |||||||
Elvis Merzlikins ![]() | RW | 29 | 874,125$ | 874,125$ | |||||||
Erik Cernak ![]() | D | 25 | 890,000$ | 890,000$ | |||||||
Gabriel Landeskog ![]() | C | 30 | 5,571,429$ | 5,571,429$ | |||||||
Haydn Fleury ![]() | D | 26 | 850,000$ | 850,000$ | |||||||
Henri Jokiharju ![]() | D | 23 | 1,279,166$ | 1,279,166$ | |||||||
Josh Manson ![]() | D | 31 | 4,100,000$ | 4,100,000$ | 4,100,000$ | ||||||
Josh Morrissey ![]() | D | 28 | 3,150,000$ | 3,150,000$ | |||||||
Josh Norris ![]() | C | 24 | 1,633,333$ | 1,633,333$ | 1,633,333$ | 1,633,333$ | |||||
Kasperi Kapanen ![]() | RW | 26 | 3,200,000$ | 3,200,000$ | |||||||
Kirby Dach ![]() | C | 22 | 3,425,000$ | 3,425,000$ | |||||||
Lias Andersson ![]() | C | 24 | 1,744,166$ | 1,744,166$ | |||||||
Logan Stanley ![]() | D | 24 | 1,075,833$ | 1,075,833$ | |||||||
Luke Glendening ![]() | C | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Mackenzie Entwistle ![]() | RW | 23 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Martin Necas ![]() | C | 24 | 1,400,833$ | 1,400,833$ | |||||||
Mathieu Olivier ![]() | RW | 26 | 730,000$ | 730,000$ | 730,000$ | ||||||
Max Jones ![]() | LW | 25 | 863,333$ | 863,333$ | |||||||
Mikael Backlund ![]() | C | 34 | 5,350,000$ | 5,350,000$ | |||||||
Mikhail Abramov ![]() | C | 22 | 809,444$ | 809,444$ | 809,444$ | 809,444$ | |||||
Morgan Barron ![]() | C | 24 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Nicolas Deslauriers ![]() | LW | 32 | 700,000$ | 700,000$ | |||||||
Nikolaj Ehlers ![]() | LW | 27 | 6,000,000$ | 6,000,000$ | |||||||
Oliver Wahlstrom ![]() | RW | 22 | 1,462,500$ | 1,462,500$ | |||||||
Olivier Rodrigue ![]() | D | 22 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
Olli Maatta ![]() | D | 28 | 4,083,333$ | 4,083,333$ | |||||||
Robin Lehner ![]() | C | 31 | 5,000,000$ | 5,000,000$ | |||||||
Ryan Donato ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Samuel Poulin ![]() | LW/RW | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Scott Perunovich ![]() | D | 24 | 2,175,000$ | 2,175,000$ | 2,175,000$ | 2,175,000$ | |||||
Simon Benoit ![]() | D | 24 | 809,166$ | 809,166$ | 809,166$ | ||||||
Stefan Noesen ![]() | RW | 30 | 750,000$ | 750,000$ | 750,000$ | ||||||
Stuart Skinner ![]() | C | 24 | 925,000$ | 925,000$ | |||||||
Vasily Ponomarev ![]() | C | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
106,316,660$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | BB and T Center | |
City | Floride | ||
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
106,316,660$ | 106,662,493$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
GOALIE | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Benjamin Gaudreau | |||||
Brennan Othmann | |||||
Daemon Hunt | |||||
Jake Boltmann | |||||
Jakub Brabenec | |||||
Joni Jurmo | |||||
Logan Mailloux | |||||
Luke Prokop | |||||
Roman Schmidt | |||||
Ryan Winterton | |||||
Ty Smilanic | |||||
William Dufour | |||||
William Villeneuve | |||||
William Wallinder | |||||
Zach Dean |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Benjamin Gaudreau | |||||
Brennan Othmann | |||||
Daemon Hunt | |||||
Jake Boltmann | |||||
Jakub Brabenec | |||||
Joni Jurmo | |||||
Logan Mailloux | |||||
Luke Prokop | |||||
Roman Schmidt | |||||
Ryan Winterton | |||||
Ty Smilanic | |||||
William Dufour | |||||
William Villeneuve | |||||
William Wallinder | |||||
Zach Dean |