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Full Scoreboard »» |
Floride Panthers Team Overall:76 25-28-5, 55pts · 8th in Conférence Pat Burns |
# | 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 6' 1" | 195 | 27 | 63 | 35 | 90 | 81 | 76 | 90 | 92 | 82 | 87 | 80 | 83 | 86 | 81 | 75 | 77 | 0 | 40 | 81 | 97.00 | 4,850,000$/1yrs | |
0 | ![]() | C | 5' 10" | 183 | 25 | 62 | 50 | 89 | 84 | 67 | 89 | 94 | 82 | 79 | 80 | 83 | 65 | 84 | 69 | 71 | 0 | 40 | 79 | 100.00 | 6,750,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 172 | 25 | 58 | 37 | 95 | 83 | 69 | 88 | 87 | 79 | 58 | 78 | 84 | 62 | 82 | 69 | 71 | 0 | 40 | 78 | 99.00 | 6,000,000$/1yrs | |
0 | ![]() | C/LW/RW | 6' 2" | 200 | 25 | 68 | 36 | 83 | 81 | 82 | 88 | 90 | 77 | 73 | 71 | 78 | 72 | 77 | 68 | 71 | 0 | 40 | 77 | 100.00 | 2,000,000$/3yrs | |
0 | ![]() | C/LW/RW | 5' 10" | 184 | 25 | 63 | 32 | 86 | 76 | 67 | 95 | 90 | 75 | 59 | 71 | 80 | 77 | 76 | 67 | 72 | 0 | 40 | 77 | 100.00 | 715,000$/1yrs | |
0 | ![]() | C | 6' 1" | 199 | 22 | 69 | 38 | 93 | 76 | 77 | 88 | 95 | 76 | 86 | 73 | 82 | 62 | 79 | 63 | 68 | 0 | 40 | 77 | 100.00 | 1,633,333$/3yrs | |
0 | ![]() | LW/RW | 6' 1" | 194 | 25 | 67 | 38 | 89 | 81 | 76 | 85 | 88 | 75 | 59 | 76 | 71 | 66 | 76 | 68 | 72 | 0 | 40 | 76 | 100.00 | 3,200,000$/1yrs | |
0 | ![]() | C | 6' 4" | 197 | 21 | 63 | 34 | 84 | 77 | 86 | 89 | 83 | 75 | 80 | 72 | 67 | 78 | 75 | 63 | 68 | 0 | 40 | 75 | 100.00 | 3,425,000$/1yrs | |
0 | ![]() | C/LW | 6' 4" | 209 | 26 | 83 | 36 | 74 | 72 | 88 | 84 | 83 | 69 | 62 | 77 | 71 | 64 | 67 | 66 | 68 | 0 | 40 | 75 | 100.00 | 831,250$/3yrs | |
0 | ![]() | C | 6' 0" | 200 | 32 | 64 | 35 | 83 | 73 | 74 | 87 | 85 | 72 | 86 | 74 | 67 | 78 | 71 | 83 | 74 | 0 | 40 | 75 | 100.00 | 5,350,000$/1yrs | |
0 | ![]() | C/RW | 6' 0" | 185 | 24 | 56 | 34 | 89 | 75 | 71 | 87 | 90 | 76 | 59 | 74 | 77 | 62 | 83 | 66 | 69 | 0 | 40 | 75 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | C/RW | 5' 11" | 190 | 32 | 78 | 37 | 92 | 68 | 71 | 84 | 85 | 64 | 92 | 63 | 65 | 88 | 62 | 79 | 74 | 0 | 40 | 74 | 100.00 | 1,575,000$/3yrs | |
0 | ![]() | D | 5' 11" | 187 | 23 | 68 | 34 | 89 | 85 | 70 | 94 | 95 | 79 | 30 | 92 | 82 | 76 | 63 | 64 | 69 | 0 | 40 | 81 | 100.00 | 2,854,166$/1yrs | |
0 | ![]() | D | 6' 4" | 215 | 25 | 63 | 41 | 80 | 75 | 89 | 95 | 85 | 74 | 30 | 85 | 79 | 86 | 62 | 71 | 69 | 0 | 40 | 79 | 100.00 | 7,500,000$/1yrs | |
0 | ![]() | D | 6' 3" | 213 | 32 | 61 | 37 | 83 | 74 | 86 | 95 | 93 | 73 | 30 | 79 | 73 | 95 | 59 | 83 | 73 | 0 | 40 | 79 | 100.00 | 6,500,000$/1yrs | |
0 | ![]() | D | 6' 0" | 195 | 26 | 76 | 38 | 78 | 74 | 75 | 89 | 90 | 73 | 30 | 77 | 69 | 74 | 57 | 70 | 73 | 0 | 40 | 76 | 100.00 | 3,150,000$/1yrs | |
0 | ![]() | D | 6' 3" | 230 | 24 | 88 | 60 | 74 | 67 | 89 | 90 | 86 | 63 | 30 | 75 | 60 | 87 | 52 | 66 | 65 | 0 | 40 | 74 | 100.00 | 890,000$/1yrs | |
0 | ![]() | D | 6' 3" | 208 | 25 | 73 | 34 | 92 | 69 | 85 | 86 | 82 | 65 | 30 | 62 | 64 | 72 | 53 | 67 | 69 | 0 | 40 | 72 | 100.00 | 850,000$/1yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | RW | 6' 2" | 205 | 21 | 71 | 45 | 70 | 74 | 81 | 78 | 89 | 73 | 58 | 65 | 72 | 56 | 71 | 62 | 64 | 0 | 40 | 72 | 100.00 | 1,462,500$/1yrs | |
0 | ![]() | D | 6' 2" | 210 | 27 | 66 | 36 | 94 | 62 | 83 | 88 | 87 | 58 | 30 | 66 | 55 | 76 | 50 | 72 | 68 | 0 | 40 | 70 | 100.00 | 4,083,333$/1yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 4" | 250 | 30 | 91 | 83 | 82 | 91 | 91 | 90 | 79 | 85 | 0 | 40 | 77 | 100.00 | 5,000,000$/1yrs | |||||||
0 | ![]() | 6' 3" | 183 | 27 | 91 | 89 | 92 | 91 | 91 | 90 | 69 | 81 | 0 | 40 | 76 | 100.00 | 874,125$/1yrs | |||||||
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 1" | 215 | 32 | 82 | 74 | 79 | 82 | 82 | 81 | 84 | 87 | 0 | 40 | 72 | 100.00 | 6,100,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 84 | 91 | 90 | 76 | 82 | 76 | 67 | CAN | 55 | 1 | 4,300,000$ |
General Manager | Marc-André Gouin |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brayden Point | 0 | C | 58 | 17 | 29 | 46 | 1 | 14 | 0 | 43 | 176 | 52 | 141 | 9.66% | 5 | 19.50 | 1 | 5 | 6 | 163 | 0 | 0 | 0 | 114 | 5 | 0 | 48.90% | 1278 | 0 | 0 | 0 | 0 | 0.81 | 1 | 2 | ||
2 | Cale Makar | 0 | D | 58 | 5 | 33 | 38 | -6 | 22 | 0 | 127 | 103 | 47 | 62 | 4.85% | 69 | 25.72 | 3 | 5 | 8 | 174 | 0 | 1 | 1 | 144 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
3 | Alex Pietrangelo | 0 | D | 56 | 6 | 31 | 37 | -16 | 38 | 0 | 84 | 104 | 36 | 77 | 5.77% | 119 | 24.44 | 3 | 7 | 10 | 148 | 0 | 0 | 0 | 183 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.54 | 0 | 0 | ||
4 | Andrew Mangiapane | 0 | C/LW/RW | 58 | 16 | 18 | 34 | -1 | 18 | 0 | 58 | 169 | 37 | 135 | 9.47% | 12 | 18.07 | 4 | 3 | 7 | 159 | 0 | 0 | 0 | 67 | 2 | 2 | 42.76% | 145 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
5 | Nikolaj Ehlers | 0 | LW | 58 | 13 | 19 | 32 | -7 | 6 | 0 | 19 | 168 | 46 | 120 | 7.74% | 4 | 20.49 | 1 | 5 | 6 | 114 | 0 | 0 | 0 | 40 | 2 | 0 | 43.33% | 90 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | ||
6 | Elias Lindholm | 0 | C | 55 | 19 | 11 | 30 | -10 | 24 | 0 | 52 | 115 | 26 | 86 | 16.52% | 15 | 19.98 | 4 | 1 | 5 | 118 | 0 | 0 | 0 | 76 | 2 | 1 | 52.27% | 1192 | 0 | 0 | 1 | 1 | 0.55 | 0 | 1 | ||
7 | Josh Norris | 0 | C | 59 | 16 | 13 | 29 | -6 | 26 | 0 | 44 | 106 | 28 | 65 | 15.09% | 3 | 16.42 | 1 | 2 | 3 | 81 | 0 | 0 | 0 | 24 | 3 | 1 | 51.74% | 860 | 0 | 0 | 0 | 0 | 0.60 | 0 | 2 | ||
8 | Adrian Kempe | 0 | C/LW/RW | 58 | 16 | 12 | 28 | 5 | 16 | 0 | 88 | 154 | 45 | 104 | 10.39% | 8 | 18.14 | 0 | 3 | 3 | 136 | 1 | 1 | 2 | 162 | 2 | 1 | 48.44% | 353 | 0 | 0 | 0 | 0 | 0.53 | 0 | 1 | ||
9 | Aaron Ekblad | 0 | D | 55 | 9 | 17 | 26 | -15 | 58 | 20 | 71 | 83 | 27 | 44 | 10.84% | 60 | 20.20 | 3 | 3 | 6 | 98 | 0 | 0 | 0 | 77 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
10 | Josh Morrissey | 0 | D | 58 | 3 | 17 | 20 | -6 | 51 | 5 | 131 | 72 | 18 | 58 | 4.17% | 89 | 21.85 | 1 | 3 | 4 | 159 | 0 | 0 | 0 | 135 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
11 | Kasperi Kapanen | 0 | LW/RW | 58 | 3 | 12 | 15 | -3 | 24 | 0 | 47 | 53 | 15 | 47 | 5.66% | 5 | 10.70 | 0 | 0 | 0 | 66 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 28 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
12 | Troy Terry | 0 | C/RW | 45 | 11 | 4 | 15 | 3 | 6 | 0 | 18 | 48 | 10 | 25 | 22.92% | 2 | 10.46 | 2 | 0 | 2 | 31 | 0 | 0 | 0 | 0 | 3 | 0 | 42.31% | 338 | 0 | 0 | 0 | 0 | 0.64 | 1 | 1 | ||
13 | Mikael Backlund | 0 | C | 59 | 5 | 8 | 13 | 0 | 8 | 0 | 19 | 57 | 10 | 42 | 8.77% | 5 | 7.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 52.29% | 350 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
14 | Kirby Dach | 0 | C | 53 | 3 | 9 | 12 | 3 | 6 | 0 | 25 | 46 | 19 | 33 | 6.52% | 2 | 9.47 | 0 | 2 | 2 | 41 | 0 | 0 | 0 | 60 | 0 | 0 | 47.22% | 540 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
15 | Erik Cernak | 0 | D | 53 | 2 | 7 | 9 | 5 | 53 | 5 | 136 | 28 | 7 | 12 | 7.14% | 56 | 14.78 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
16 | Haydn Fleury | 0 | D | 33 | 0 | 8 | 8 | 2 | 20 | 0 | 48 | 24 | 11 | 12 | 0.00% | 38 | 21.30 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
17 | Oliver Wahlstrom | 0 | RW | 14 | 4 | 2 | 6 | 4 | 7 | 5 | 10 | 16 | 4 | 3 | 25.00% | 1 | 11.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.83% | 87 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | ||
18 | Luke Glendening | 0 | C/RW | 42 | 3 | 1 | 4 | 5 | 12 | 0 | 25 | 26 | 10 | 20 | 11.54% | 1 | 7.16 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 9 | 1 | 0 | 54.36% | 241 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
19 | Mason Marchment | 0 | C/LW | 50 | 2 | 1 | 3 | -5 | 18 | 0 | 62 | 38 | 9 | 19 | 5.26% | 0 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 43.49% | 269 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
20 | Olli Maatta | 0 | D | 8 | 1 | 1 | 2 | -3 | 6 | 0 | 5 | 2 | 2 | 0 | 50.00% | 6 | 14.05 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
Team Total or Average | 988 | 154 | 253 | 407 | -50 | 433 | 35 | 1112 | 1588 | 459 | 1105 | 9.70% | 500 | 16.39 | 23 | 40 | 63 | 1572 | 1 | 2 | 3 | 1217 | 26 | 6 | 49.33% | 5771 | 0 | 0 | 2 | 1 | 0.50 | 2 | 10 |
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 | Elvis Merzlikins | 55 | 22 | 26 | 5 | 0.907 | 2.68 | 3043 | 6 | 2 | 136 | 1464 | 0 | 0 | 0 | 0.667 | 9 | 54 | 4 | 3 | 3 | 5 | |
2 | Robin Lehner | 11 | 2 | 6 | 0 | 0.890 | 3.19 | 527 | 0 | 0 | 28 | 255 | 0 | 0 | 2 | 0.000 | 0 | 8 | 51 | 0 | 1 | 0 | |
Team Total or Average | 66 | 24 | 32 | 5 | 0.905 | 2.76 | 3570 | 6 | 2 | 164 | 1719 | 0 | 0 | 2 | 0.667 | 9 | 62 | 55 | 3 | 4 | 5 |
Projected Total Cap Hit | 76,979,124$ |
Projected Cap Space | 14,520,876$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 25 | 7,500,000$ | 7,500,000$ | |||||||
Adrian Kempe ![]() | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Alex Pietrangelo ![]() | D | 32 | 6,500,000$ | 6,500,000$ | |||||||
Andrew Mangiapane ![]() | C/LW/RW | 25 | 715,000$ | 715,000$ | |||||||
Braden Holtby ![]() | G | 32 | 6,100,000$ | 6,100,000$ | |||||||
Brayden Point ![]() | C | 25 | 6,750,000$ | 6,750,000$ | |||||||
Cale Makar ![]() | D | 23 | 2,854,166$ | 2,854,166$ | |||||||
Elias Lindholm ![]() | C | 27 | 4,850,000$ | 4,850,000$ | |||||||
Elvis Merzlikins ![]() | RW | 27 | 874,125$ | 874,125$ | |||||||
Erik Cernak ![]() | D | 24 | 890,000$ | 890,000$ | |||||||
Haydn Fleury ![]() | D | 25 | 850,000$ | 850,000$ | |||||||
Josh Morrissey ![]() | D | 26 | 3,150,000$ | 3,150,000$ | |||||||
Josh Norris ![]() | C | 22 | 1,633,333$ | 1,633,333$ | 1,633,333$ | 1,633,333$ | |||||
Kasperi Kapanen ![]() | LW/RW | 25 | 3,200,000$ | 3,200,000$ | |||||||
Kirby Dach ![]() | C | 21 | 3,425,000$ | 3,425,000$ | |||||||
Luke Glendening ![]() | C/RW | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Mason Marchment ![]() | C/LW | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Mikael Backlund ![]() | C | 32 | 5,350,000$ | 5,350,000$ | |||||||
Nikolaj Ehlers ![]() | LW | 25 | 6,000,000$ | 6,000,000$ | |||||||
Oliver Wahlstrom ![]() | RW | 21 | 1,462,500$ | 1,462,500$ | |||||||
Olli Maatta ![]() | D | 27 | 4,083,333$ | 4,083,333$ | |||||||
Robin Lehner ![]() | RW | 30 | 5,000,000$ | 5,000,000$ | |||||||
Troy Terry ![]() | C/RW | 24 | 1,491,667$ | 1,491,667$ |
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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 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 4 | 1 | 0 | 67 | 24 | 26 | 15 | 2 | 139 | 24 | 29 | 49 | 5 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 66 | 45 | 79 | 21 | 36 | 17 | 53.8% | 10.4% | 93.5% | 104.0 | LUCKY | |
2 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 9 | 3 | 5 | 0.625 | 12 | 21 | 33 | 0 | 0 | 5 | 4 | 3 | 0 | 102 | 31 | 37 | 33 | 1 | 103 | 25 | 25 | 75 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 93 | 64 | 97 | 29 | 49 | 25 | 55.6% | 11.8% | 91.3% | 103.0 | LUCKY | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 11 | 15 | 22 | 0 | 52 | 15 | 18 | 55 | 9 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 47 | 31 | 46 | 13 | 25 | 12 | 0.0% | 0.0% | 90.4% | 90.4 | Unlucky | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 3 | 0 | 82 | 25 | 29 | 28 | 0 | 86 | 28 | 31 | 62 | 7 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 73 | 51 | 68 | 20 | 38 | 19 | 50.0% | 8.5% | 90.7% | 99.2 | Unlucky | |
5 | 5 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 12 | 19 | -7 | 3 | 0.300 | 12 | 19 | 31 | 0 | 0 | 7 | 2 | 2 | 1 | 161 | 66 | 47 | 40 | 8 | 162 | 41 | 57 | 123 | 19 | 1 | 5.26% | 21 | 6 | 71.43% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 117 | 80 | 123 | 37 | 63 | 31 | 45.8% | 7.5% | 88.3% | 95.7 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 64 | 13 | 17 | 34 | 0 | 58 | 17 | 6 | 39 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 52 | 38 | 43 | 13 | 23 | 12 | 66.7% | 9.4% | 94.8% | 104.2 | LUCKY | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 73 | 26 | 22 | 25 | 0 | 67 | 25 | 22 | 54 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 2 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 73 | 51 | 70 | 19 | 35 | 18 | 45.5% | 8.2% | 89.6% | 97.8 | Unlucky | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 40 | 15 | 11 | 14 | 0 | 71 | 26 | 22 | 48 | 2 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 44 | 30 | 51 | 14 | 24 | 12 | 27.3% | 7.5% | 88.7% | 96.2 | Unlucky | |
9 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 2 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 100 | 30 | 34 | 36 | 0 | 105 | 35 | 24 | 90 | 20 | 1 | 5.00% | 9 | 0 | 100.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 94 | 65 | 96 | 28 | 48 | 25 | 25.0% | 5.0% | 88.6% | 93.6 | Unlucky | |
10 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 19 | 14 | 5 | 4 | 0.500 | 19 | 34 | 53 | 0 | 0 | 8 | 5 | 5 | 2 | 128 | 40 | 41 | 45 | 8 | 109 | 31 | 26 | 90 | 13 | 2 | 15.38% | 12 | 5 | 58.33% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 98 | 69 | 94 | 27 | 51 | 27 | 65.4% | 14.8% | 87.2% | 102.0 | FUN | |
11 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 24 | 37 | 0 | 0 | 6 | 4 | 3 | 0 | 105 | 41 | 34 | 30 | 0 | 110 | 26 | 24 | 97 | 14 | 3 | 21.43% | 12 | 4 | 66.67% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 95 | 65 | 93 | 29 | 51 | 27 | 50.0% | 12.4% | 87.3% | 99.7 | FUN | |
12 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 4 | 4 | 3 | 1 | 78 | 21 | 31 | 25 | 1 | 77 | 26 | 36 | 61 | 9 | 1 | 11.11% | 12 | 2 | 83.33% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 71 | 49 | 71 | 21 | 37 | 19 | 64.7% | 15.4% | 89.6% | 105.0 | FUN | |
13 | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 12 | 15 | -3 | 4 | 0.400 | 12 | 20 | 32 | 0 | 0 | 4 | 3 | 4 | 1 | 164 | 67 | 38 | 56 | 3 | 118 | 32 | 28 | 102 | 25 | 4 | 16.00% | 12 | 4 | 66.67% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 127 | 89 | 113 | 35 | 61 | 31 | 42.1% | 7.3% | 87.3% | 94.6 | Unlucky | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 17 | 27 | 0 | 0 | 4 | 4 | 2 | 1 | 86 | 25 | 35 | 25 | 4 | 71 | 19 | 12 | 59 | 12 | 4 | 33.33% | 5 | 1 | 80.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 76 | 53 | 69 | 22 | 39 | 20 | 46.2% | 11.6% | 88.7% | 100.4 | FUN | |
15 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.250 | 6 | 11 | 17 | 0 | 1 | 4 | 1 | 1 | 0 | 131 | 63 | 35 | 33 | 0 | 127 | 34 | 25 | 92 | 12 | 2 | 16.67% | 10 | 1 | 90.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 103 | 73 | 88 | 27 | 47 | 24 | 33.3% | 4.6% | 92.9% | 97.5 | DULL | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 3 | 2 | 1 | 0 | 51 | 19 | 9 | 23 | 0 | 62 | 12 | 10 | 38 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 47 | 34 | 47 | 14 | 24 | 12 | 50.0% | 11.8% | 90.3% | 102.1 | FUN | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 94 | 40 | 28 | 26 | 0 | 81 | 29 | 22 | 57 | 7 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 75 | 53 | 68 | 22 | 35 | 18 | 50.0% | 5.3% | 92.6% | 97.9 | DULL | |
18 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 59 | 15 | 16 | 26 | 2 | 64 | 24 | 12 | 47 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 45 | 32 | 54 | 13 | 23 | 12 | 66.7% | 6.8% | 95.3% | 102.1 | DULL | |
_Vs Division | 16 | 6 | 8 | 0 | 1 | 1 | 0 | 0 | 42 | 44 | -2 | 15 | 0.469 | 42 | 75 | 117 | 0 | 0 | 18 | 12 | 11 | 1 | 465 | 179 | 137 | 145 | 4 | 412 | 112 | 99 | 331 | 59 | 9 | 15.25% | 44 | 10 | 77.27% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 392 | 274 | 372 | 116 | 198 | 102 | 49.3% | 9.0% | 89.3% | 98.4 | FUN | |
_Vs Conference | 36 | 11 | 19 | 0 | 2 | 2 | 1 | 1 | 94 | 106 | -12 | 31 | 0.431 | 94 | 165 | 259 | 0 | 1 | 43 | 26 | 22 | 5 | 1071 | 403 | 329 | 324 | 24 | 986 | 272 | 243 | 785 | 135 | 19 | 14.07% | 101 | 23 | 77.23% | 0 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 883 | 615 | 845 | 259 | 449 | 230 | 47.5% | 8.8% | 89.2% | 98.0 | Unlucky | |
_Since Last GM Reset | 58 | 21 | 28 | 0 | 3 | 4 | 1 | 1 | 145 | 163 | -18 | 55 | 0.474 | 145 | 257 | 402 | 0 | 2 | 62 | 43 | 36 | 6 | 1633 | 572 | 505 | 536 | 29 | 1662 | 469 | 429 | 1238 | 190 | 21 | 11.05% | 177 | 31 | 82.49% | 2 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 1405 | 980 | 1379 | 413 | 720 | 366 | 48.4% | 8.9% | 90.2% | 99.1 | Unlucky | |
Total | 58 | 21 | 28 | 0 | 3 | 4 | 1 | 1 | 145 | 163 | -18 | 55 | 0.474 | 145 | 257 | 402 | 0 | 2 | 62 | 43 | 36 | 6 | 1633 | 572 | 505 | 536 | 29 | 1662 | 469 | 429 | 1238 | 190 | 21 | 11.05% | 177 | 31 | 82.49% | 2 | 937 | 1956 | 47.90% | 926 | 1940 | 47.73% | 417 | 849 | 49.12% | 1405 | 980 | 1379 | 413 | 720 | 366 | 48.4% | 8.9% | 90.2% | 99.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1956 |
Neutral Zone Start | 849 |
Defensive Zone Start | 1940 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2280 |
Faceoffs Lost | 2465 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 18.6 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 28.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 21 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 14 |
Lost | 15 | 13 |
Overtime Lost | 3 | 2 |
PP Attempt | 190 |
---|---|
PP Goal | 21 |
PK Attempt | 177 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 28.2 |
Shots Against | 28.7 |
Goals For | 2.5 |
Goals Against | 2.8 |
Hits | 21.3 |
Shots Blocked | 8.1 |
Pim | 7.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-10-12 | @ | Panthers1,Jets3 | RECAP | ||
2022-10-14 | @ | Predators1,Panthers7 | RECAP | ||
2022-10-15 | @ | Kings2,Panthers1 | RECAP | ||
2022-10-17 | @ | Panthers4,Oilers3 | RECAP | ||
2022-10-19 | @ | Jets0,Panthers1 | RECAP | ||
2022-10-21 | @ | Panthers4,Blackhawks2 | RECAP | ||
2022-10-23 | @ | Oilers4,Panthers3 | RECAP | ||
2022-10-25 | @ | Panthers2,Hurricanes3 (OT) | RECAP | ||
2022-10-28 | @ | Panthers2,Islanders3 (SO) | RECAP | ||
2022-10-30 | @ | Capitals2,Panthers1 (OT) | RECAP | ||
2022-10-31 | @ | Panthers2,Canucks3 | RECAP | ||
2022-11-02 | @ | Canucks1,Panthers2 | RECAP | ||
2022-11-04 | @ | Panthers2,Capitals5 | RECAP | ||
2022-11-06 | @ | Maple Leafs2,Panthers0 | RECAP | ||
2022-11-07 | @ | Predators4,Panthers3 | RECAP | ||
2022-11-10 | @ | Canucks2,Panthers1 | RECAP | ||
2022-11-11 | @ | Panthers3,Capitals1 | RECAP | ||
2022-11-13 | @ | Panthers3,Hurricanes5 | RECAP | ||
2022-11-15 | @ | Panthers2,Jets3 | RECAP | ||
2022-11-17 | @ | Panthers5,Canadiens0 | RECAP | ||
2022-11-19 | @ | Predators4,Panthers3 | RECAP | ||
2022-11-21 | @ | Panthers6,Capitals1 | RECAP | ||
2022-11-23 | @ | Rangers2,Panthers3 | RECAP | ||
2022-11-25 | @ | Hurricanes3,Panthers1 | RECAP | ||
2022-11-28 | @ | Bruins5,Panthers6 | RECAP | ||
2022-11-30 | @ | Panthers3,Maple Leafs1 | RECAP | ||
2022-12-02 | @ | Oilers4,Panthers1 | RECAP | ||
2022-12-03 | @ | Panthers1,Canadiens6 | RECAP | ||
2022-12-05 | @ | Avalanche2,Panthers1 | RECAP | ||
2022-12-07 | @ | Panthers2,Kings4 | RECAP | ||
2022-12-09 | @ | Panthers2,Avalanche6 | RECAP | ||
2022-12-10 | @ | Blackhawks3,Panthers1 | RECAP | ||
2022-12-12 | @ | Panthers2,Red Wings1 | RECAP | ||
2022-12-14 | @ | Kings2,Panthers4 | RECAP | ||
2022-12-17 | @ | Predators5,Panthers6 (SO) | RECAP | ||
2022-12-20 | @ | Jets3,Panthers2 | RECAP | ||
2022-12-22 | @ | Panthers0,Blue Jackets3 | RECAP | ||
2022-12-23 | @ | Bruins2,Panthers3 (OT) | RECAP | ||
2022-12-25 | @ | Panthers5,Islanders3 | RECAP | ||
2022-12-27 | @ | Panthers4,Flames2 | RECAP | ||
2022-12-28 | @ | Blue Jackets2,Panthers0 | RECAP | ||
2022-12-31 | @ | Golden Knights2,Panthers1 (OT) | RECAP | ||
2023-01-01 | @ | Panthers0,Maple Leafs6 | RECAP | ||
2023-01-03 | @ | Panthers3,Blackhawks2 (OT) | RECAP | ||
2023-01-04 | @ | Maple Leafs3,Panthers2 | RECAP | ||
2023-01-06 | @ | Panthers1,Flames4 | RECAP | ||
2023-01-07 | @ | Golden Knights1,Panthers3 | RECAP | ||
2023-01-10 | @ | Panthers3,Bruins1 | RECAP | ||
2023-01-12 | @ | Blackhawks4,Panthers2 | RECAP | ||
2023-01-14 | @ | Panthers3,Rangers1 | RECAP | ||
2023-01-16 | @ | Panthers4,Hurricanes3 (OT) | RECAP | ||
2023-01-17 | @ | Flames3,Panthers2 (OT) | RECAP | ||
2023-01-19 | @ | Hurricanes5,Panthers2 | RECAP | ||
2023-01-22 | @ | Red Wings2,Panthers3 | RECAP | ||
2023-01-24 | @ | Panthers1,Red Wings4 | RECAP | ||
2023-01-25 | @ | Panthers2,Blackhawks4 | RECAP | ||
2023-01-27 | @ | Panthers5,Oilers3 | RECAP | ||
2023-01-29 | @ | Islanders2,Panthers3 | RECAP | ||
2023-01-31 | @ | ||||
2023-02-01 | @ | ||||
2023-02-03 | @ | ||||
2023-02-05 | @ | ||||
2023-02-07 | @ | ||||
2023-02-09 | @ | ||||
2023-02-11 | @ | ||||
2023-02-13 | @ | ||||
2023-02-15 | @ | ||||
2023-02-16 | @ | ||||
2023-02-18 | @ | ||||
2023-02-21 | @ | ||||
2023-02-22 | @ | ||||
2023-02-24 | @ | ||||
2023-02-25 | @ | ||||
2023-02-27 | @ | ||||
2023-03-01 | @ | ||||
2023-03-02 | @ | ||||
2023-03-04 | @ | ||||
2023-03-07 | @ | ||||
2023-03-08 | @ | ||||
2023-03-11 | @ | ||||
2023-03-13 | @ | ||||
2023-03-16 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,979,124$ | 0$ | 76,979,124$ | 14,520,876$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | BB and T Center | |
City | Floride | ||
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
12 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,979,124$ | 77,085,374$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 76,979,124$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 49 | 498,645$ | 24,433,605$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,685,091$ | 76,979,124$ | 10,000,000$ | -24,685,091$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||||||||||||||
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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 | |||||
Jake Neighbours | |||||
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 | |||||
Jake Neighbours | |||||
Jakub Brabenec | |||||
Joni Jurmo | |||||
Logan Mailloux | |||||
Luke Prokop | |||||
Roman Schmidt | |||||
Ryan Winterton | |||||
Ty Smilanic | |||||
William Dufour | |||||
William Villeneuve | |||||
William Wallinder | |||||
Zach Dean |
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