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Full Scoreboard »» |
Caroline Hurricanes Team Overall:76 35-15-8, 78pts · 1st 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' 3" | 205 | 24 | 64 | 37 | 92 | 83 | 85 | 91 | 88 | 86 | 89 | 82 | 95 | 67 | 89 | 68 | 75 | 0 | 40 | 82 | 98.00 | 11,634,000$/1yrs | |
0 | ![]() | LW | 6' 3" | 235 | 31 | 70 | 38 | 86 | 71 | 90 | 87 | 83 | 74 | 71 | 73 | 80 | 66 | 73 | 77 | 89 | 0 | 40 | 78 | 100.00 | 7,000,000$/1yrs | |
0 | ![]() | C | 6' 3" | 195 | 35 | 57 | 36 | 78 | 75 | 82 | 89 | 80 | 79 | 77 | 82 | 78 | 63 | 86 | 87 | 78 | 0 | 40 | 78 | 100.00 | 9,500,000$/1yrs | |
0 | ![]() | C | 6' 1" | 211 | 31 | 66 | 36 | 87 | 72 | 80 | 89 | 83 | 76 | 92 | 83 | 78 | 65 | 79 | 84 | 90 | 0 | 40 | 78 | 100.00 | 11,000,000$/1yrs | |
0 | ![]() | LW/RW | 6' 5" | 216 | 23 | 68 | 39 | 85 | 76 | 93 | 89 | 86 | 79 | 63 | 77 | 82 | 64 | 81 | 68 | 71 | 0 | 40 | 78 | 100.00 | 6,750,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 181 | 28 | 55 | 34 | 94 | 75 | 71 | 90 | 93 | 72 | 63 | 75 | 73 | 90 | 72 | 71 | 69 | 0 | 40 | 77 | 100.00 | 2,100,000$/1yrs | |
0 | ![]() | C/LW | 6' 1" | 185 | 25 | 63 | 38 | 89 | 81 | 74 | 82 | 88 | 77 | 75 | 78 | 80 | 65 | 76 | 69 | 73 | 0 | 40 | 77 | 100.00 | 1,250,000$/1yrs | |
0 | ![]() | LW/RW | 6' 1" | 180 | 30 | 64 | 35 | 93 | 75 | 73 | 88 | 87 | 73 | 59 | 72 | 74 | 80 | 71 | 78 | 73 | 0 | 40 | 77 | 100.00 | 5,000,000$/1yrs | |
0 | ![]() | LW/RW | 6' 0" | 196 | 25 | 58 | 35 | 89 | 82 | 74 | 85 | 81 | 76 | 59 | 73 | 82 | 62 | 79 | 68 | 71 | 0 | 40 | 76 | 100.00 | 3,350,000$/1yrs | |
0 | ![]() | C/LW | 6' 2" | 205 | 23 | 71 | 36 | 69 | 78 | 81 | 88 | 90 | 76 | 82 | 76 | 77 | 63 | 76 | 66 | 73 | 0 | 40 | 76 | 100.00 | 3,394,166$/1yrs | |
0 | ![]() | LW/RW | 5' 11" | 193 | 37 | 59 | 34 | 92 | 70 | 73 | 85 | 84 | 72 | 63 | 71 | 70 | 77 | 68 | 90 | 82 | 0 | 40 | 76 | 100.00 | 3,034,500$/3yrs | |
0 | ![]() | C | 6' 3" | 210 | 22 | 55 | 37 | 93 | 74 | 85 | 82 | 87 | 73 | 76 | 72 | 66 | 64 | 74 | 64 | 66 | 0 | 40 | 73 | 100.00 | 1,244,166$/1yrs | |
0 | ![]() | D | 6' 0" | 181 | 27 | 76 | 37 | 73 | 77 | 71 | 93 | 87 | 73 | 30 | 76 | 69 | 78 | 57 | 72 | 69 | 0 | 40 | 76 | 99.00 | 6,000,000$/1yrs | |
0 | ![]() | D | 5' 9" | 194 | 30 | 63 | 37 | 80 | 74 | 68 | 92 | 88 | 75 | 30 | 85 | 66 | 62 | 56 | 77 | 72 | 0 | 40 | 76 | 100.00 | 5,250,000$/1yrs | |
0 | ![]() | D | 6' 2" | 188 | 27 | 68 | 39 | 82 | 72 | 78 | 89 | 95 | 71 | 30 | 75 | 71 | 63 | 58 | 71 | 73 | 0 | 40 | 75 | 99.00 | 4,875,000$/2yrs | |
0 | ![]() | D | 6' 2" | 199 | 22 | 89 | 36 | 87 | 66 | 81 | 95 | 82 | 65 | 30 | 68 | 67 | 81 | 55 | 62 | 64 | 0 | 40 | 74 | 100.00 | 894,167$/1yrs | |
0 | ![]() | D | 6' 2" | 215 | 27 | 73 | 38 | 93 | 69 | 82 | 91 | 86 | 67 | 30 | 76 | 62 | 81 | 53 | 70 | 69 | 0 | 40 | 74 | 100.00 | 2,000,000$/1yrs | |
0 | ![]() | D | 5' 9" | 178 | 28 | 57 | 33 | 87 | 74 | 65 | 90 | 87 | 71 | 30 | 77 | 64 | 61 | 55 | 70 | 72 | 0 | 40 | 73 | 100.00 | 1,400,000$/1yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | LW/RW | 6' 2" | 192 | 27 | 64 | 36 | 91 | 77 | 79 | 85 | 87 | 70 | 59 | 67 | 73 | 78 | 69 | 67 | 71 | 0 | 40 | 75 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW/RW | 5' 11" | 185 | 26 | 68 | 37 | 82 | 73 | 69 | 86 | 81 | 75 | 58 | 72 | 70 | 64 | 75 | 69 | 71 | 0 | 40 | 74 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | LW/RW | 6' 5" | 215 | 25 | 63 | 38 | 88 | 73 | 92 | 81 | 89 | 68 | 56 | 69 | 70 | 65 | 72 | 66 | 67 | 0 | 40 | 74 | 100.00 | 925,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 6" | 206 | 31 | 97 | 90 | 93 | 97 | 97 | 96 | 80 | 86 | 0 | 40 | 81 | 98.00 | 3,666,667$/1yrs | |||||||
0 | ![]() | 6' 2" | 185 | 26 | 88 | 85 | 93 | 88 | 88 | 87 | 67 | 77 | 0 | 40 | 74 | 100.00 | 800,000$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 84 | 90 | 91 | 87 | 81 | 75 | 68 | USA | 54 | 1 | 525,000$ |
General Manager | Richard Proulx |
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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 | Auston Matthews | 0 | C | 58 | 29 | 38 | 67 | 16 | 15 | 5 | 21 | 251 | 78 | 190 | 11.55% | 11 | 21.57 | 12 | 11 | 23 | 190 | 1 | 1 | 2 | 223 | 1 | 2 | 57.58% | 1900 | 0 | 0 | 0 | 1 | 1.07 | 1 | 5 | ||
2 | Evgeni Malkin | 0 | C | 58 | 15 | 30 | 45 | 8 | 26 | 0 | 90 | 141 | 43 | 102 | 10.64% | 9 | 16.71 | 4 | 11 | 15 | 169 | 0 | 0 | 0 | 3 | 3 | 1 | 50.57% | 1234 | 0 | 0 | 0 | 0 | 0.93 | 2 | 4 | ||
3 | Patrik Laine | 0 | LW/RW | 58 | 23 | 21 | 44 | 19 | 18 | 0 | 74 | 153 | 47 | 125 | 15.03% | 4 | 17.62 | 3 | 5 | 8 | 192 | 0 | 0 | 0 | 0 | 5 | 1 | 47.95% | 73 | 0 | 0 | 0 | 0 | 0.86 | 0 | 5 | ||
4 | Pierre-Luc Dubois | 0 | C/LW | 58 | 15 | 23 | 38 | 10 | 42 | 0 | 120 | 159 | 39 | 110 | 9.43% | 8 | 17.02 | 2 | 6 | 8 | 179 | 0 | 0 | 0 | 0 | 4 | 1 | 52.78% | 72 | 0 | 0 | 0 | 0 | 0.77 | 1 | 6 | ||
5 | Matt Dumba | 0 | D | 58 | 6 | 30 | 36 | -5 | 60 | 0 | 147 | 106 | 41 | 83 | 5.66% | 97 | 25.54 | 6 | 5 | 11 | 193 | 0 | 1 | 1 | 155 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
6 | Jared McCann | 0 | C/LW | 58 | 12 | 21 | 33 | 6 | 32 | 10 | 67 | 168 | 40 | 110 | 7.14% | 11 | 18.53 | 3 | 7 | 10 | 167 | 1 | 1 | 2 | 193 | 2 | 1 | 38.46% | 91 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | ||
7 | Ryan Pulock | 0 | D | 58 | 5 | 25 | 30 | 4 | 14 | 0 | 39 | 60 | 18 | 47 | 8.33% | 73 | 18.52 | 2 | 6 | 8 | 113 | 0 | 0 | 0 | 104 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
8 | Martin Fehervary | 0 | D | 58 | 8 | 21 | 29 | 13 | 54 | 0 | 117 | 78 | 26 | 54 | 10.26% | 63 | 19.20 | 5 | 8 | 13 | 160 | 0 | 0 | 0 | 130 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
9 | Reilly Smith | 0 | LW/RW | 58 | 14 | 15 | 29 | 9 | 8 | 0 | 34 | 130 | 36 | 78 | 10.77% | 8 | 14.58 | 0 | 2 | 2 | 22 | 0 | 0 | 0 | 90 | 2 | 2 | 44.12% | 68 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
10 | Jakub Vrana | 0 | LW/RW | 56 | 9 | 17 | 26 | 5 | 2 | 0 | 30 | 90 | 24 | 64 | 10.00% | 6 | 12.58 | 1 | 4 | 5 | 80 | 1 | 0 | 1 | 75 | 0 | 0 | 30.91% | 55 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
11 | Mike Matheson | 0 | D | 58 | 3 | 23 | 26 | -1 | 27 | 5 | 65 | 51 | 19 | 38 | 5.88% | 57 | 24.06 | 3 | 9 | 12 | 193 | 0 | 0 | 0 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
12 | Anders Lee | 0 | LW | 57 | 12 | 13 | 25 | 11 | 17 | 5 | 85 | 109 | 27 | 74 | 11.01% | 10 | 17.06 | 3 | 4 | 7 | 137 | 1 | 1 | 2 | 74 | 2 | 1 | 48.65% | 185 | 0 | 0 | 1 | 0 | 0.51 | 0 | 0 | ||
13 | John Tavares | 0 | C | 58 | 9 | 12 | 21 | 3 | 10 | 0 | 61 | 79 | 30 | 49 | 11.39% | 5 | 12.57 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 93 | 1 | 1 | 54.57% | 887 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | ||
14 | Connor Brown | 0 | RW | 57 | 12 | 8 | 20 | -1 | 4 | 0 | 19 | 91 | 24 | 64 | 13.19% | 10 | 12.12 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 26 | 2 | 0 | 39.39% | 66 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
15 | Torey Krug | 0 | D | 57 | 2 | 14 | 16 | -6 | 22 | 0 | 50 | 22 | 2 | 24 | 9.09% | 39 | 15.12 | 0 | 2 | 2 | 54 | 0 | 0 | 0 | 56 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
16 | Ilya Mikheyev | 0 | LW/RW | 56 | 9 | 3 | 12 | -12 | 10 | 0 | 49 | 61 | 13 | 38 | 14.75% | 6 | 9.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 1 | 54.05% | 37 | 0 | 0 | 0 | 0 | 0.43 | 1 | 2 | ||
17 | Zach Parise | 0 | LW/RW | 41 | 5 | 3 | 8 | -16 | 6 | 0 | 20 | 40 | 9 | 32 | 12.50% | 4 | 10.62 | 2 | 2 | 4 | 35 | 0 | 0 | 0 | 0 | 1 | 0 | 58.62% | 29 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
18 | Pierre Engvall | 0 | LW/RW | 31 | 1 | 6 | 7 | -5 | 6 | 0 | 30 | 24 | 12 | 21 | 4.17% | 1 | 9.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 43.48% | 23 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
19 | Filip Chytil | 0 | C | 30 | 1 | 3 | 4 | -12 | 2 | 0 | 12 | 29 | 4 | 19 | 3.45% | 2 | 9.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 47.60% | 292 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
20 | Kevin Labanc | 0 | LW/RW | 8 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 3 | 3 | 5 | 0.00% | 0 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Matt Grzelcyk | 0 | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 2 | 12.71 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1034 | 190 | 326 | 516 | 43 | 375 | 25 | 1134 | 1847 | 535 | 1329 | 10.29% | 426 | 16.28 | 46 | 84 | 130 | 1923 | 4 | 4 | 8 | 1323 | 31 | 14 | 53.02% | 5015 | 0 | 0 | 1 | 1 | 0.61 | 5 | 26 |
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 | Jacob Markstrom | 47 | 27 | 11 | 7 | 0.908 | 2.70 | 2757 | 8 | 1 | 124 | 1353 | 0 | 0 | 0 | 0.778 | 18 | 46 | 12 | 2 | 0 | 2 | |
2 | Kevin Lankinen | 15 | 9 | 2 | 2 | 0.901 | 2.75 | 765 | 4 | 0 | 35 | 355 | 0 | 1 | 0 | 0.714 | 7 | 12 | 41 | 0 | 0 | 0 | |
Team Total or Average | 62 | 36 | 13 | 9 | 0.907 | 2.71 | 3523 | 12 | 1 | 159 | 1708 | 0 | 1 | 0 | 0.760 | 25 | 58 | 53 | 2 | 0 | 2 |
Projected Total Cap Hit | 91,458,166$ |
Projected Cap Space | 41,834$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Lee ![]() | LW | 31 | 7,000,000$ | 7,000,000$ | |||||||
Auston Matthews ![]() | C | 24 | 11,634,000$ | 11,634,000$ | |||||||
Connor Brown ![]() | RW | 28 | 2,100,000$ | 2,100,000$ | |||||||
Evgeni Malkin ![]() | C | 35 | 9,500,000$ | 9,500,000$ | |||||||
Filip Chytil ![]() | C | 22 | 1,244,166$ | 1,244,166$ | |||||||
Ilya Mikheyev ![]() | LW/RW | 27 | 925,000$ | 925,000$ | |||||||
Jacob Markstrom ![]() | D | 31 | 3,666,667$ | 3,666,667$ | |||||||
Jakub Vrana ![]() | LW/RW | 25 | 3,350,000$ | 3,350,000$ | |||||||
Jared McCann ![]() | C/LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
John Tavares ![]() | C | 31 | 11,000,000$ | 11,000,000$ | |||||||
Kevin Labanc ![]() | LW/RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Kevin Lankinen ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Martin Fehervary ![]() | D | 22 | 894,167$ | 894,167$ | |||||||
Matt Dumba ![]() | D | 27 | 6,000,000$ | 6,000,000$ | |||||||
Matt Grzelcyk ![]() | D | 28 | 1,400,000$ | 1,400,000$ | |||||||
Mike Matheson ![]() | D | 27 | 4,875,000$ | 4,875,000$ | 4,875,000$ | ||||||
Patrik Laine ![]() | LW/RW | 23 | 6,750,000$ | 6,750,000$ | |||||||
Pierre Engvall ![]() | LW/RW | 25 | 925,000$ | 925,000$ | |||||||
Pierre-Luc Dubois ![]() | C/LW | 23 | 3,394,166$ | 3,394,166$ | |||||||
Reilly Smith ![]() | LW/RW | 30 | 5,000,000$ | 5,000,000$ | |||||||
Ryan Pulock ![]() | D | 27 | 2,000,000$ | 2,000,000$ | |||||||
Torey Krug ![]() | D | 30 | 5,250,000$ | 5,250,000$ | |||||||
Zach Parise ![]() | LW/RW | 37 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ |
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Goalies | |||||||
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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 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 5 | 0.833 | 12 | 22 | 34 | 0 | 0 | 2 | 5 | 5 | 0 | 92 | 34 | 34 | 23 | 1 | 99 | 22 | 25 | 64 | 13 | 4 | 30.77% | 8 | 1 | 87.50% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 72 | 50 | 70 | 22 | 38 | 18 | 47.1% | 13.0% | 89.9% | 102.9 | FUN | |
2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 18 | -12 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 98 | 33 | 32 | 33 | 0 | 123 | 48 | 22 | 87 | 13 | 1 | 7.69% | 11 | 4 | 63.64% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 89 | 61 | 97 | 31 | 52 | 25 | 26.3% | 6.1% | 85.4% | 91.5 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 2 | 2 | 2 | 0 | 56 | 15 | 19 | 22 | 0 | 52 | 22 | 20 | 39 | 12 | 3 | 25.00% | 9 | 1 | 88.89% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 47 | 31 | 47 | 15 | 25 | 12 | 60.0% | 10.7% | 94.2% | 104.9 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 68 | 20 | 21 | 27 | 0 | 45 | 13 | 12 | 35 | 10 | 1 | 10.00% | 6 | 0 | 100.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 49 | 34 | 46 | 13 | 23 | 12 | 40.0% | 4.4% | 93.3% | 97.7 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 33 | 11 | 10 | 12 | 0 | 38 | 7 | 8 | 15 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 23 | 16 | 23 | 7 | 12 | 6 | 57.1% | 15.2% | 89.5% | 104.6 | FUN | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 1 | 1 | 5 | 0 | 64 | 21 | 11 | 30 | 2 | 49 | 21 | 10 | 47 | 13 | 4 | 30.77% | 5 | 1 | 80.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 50 | 36 | 46 | 13 | 23 | 12 | 37.5% | 10.9% | 87.8% | 98.7 | FUN | |
7 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 3 | 1 | 1 | 67 | 24 | 18 | 19 | 13 | 61 | 19 | 20 | 38 | 8 | 1 | 12.50% | 10 | 1 | 90.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 48 | 33 | 50 | 18 | 27 | 13 | 37.5% | 6.0% | 90.2% | 96.1 | Unlucky | |
8 | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 11 | 4 | 8 | 0.800 | 15 | 25 | 40 | 0 | 0 | 3 | 6 | 5 | 1 | 152 | 46 | 55 | 51 | 4 | 134 | 33 | 32 | 93 | 23 | 4 | 17.39% | 15 | 4 | 73.33% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 120 | 84 | 118 | 39 | 66 | 32 | 61.1% | 9.9% | 91.8% | 101.7 | LUCKY | |
9 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 6 | 0 | 2 | 0 | 97 | 34 | 32 | 31 | 0 | 124 | 28 | 32 | 71 | 8 | 2 | 25.00% | 16 | 2 | 87.50% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 74 | 53 | 69 | 21 | 35 | 16 | 35.3% | 8.2% | 89.5% | 97.8 | Unlucky | |
10 | 5 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 12 | 11 | 1 | 7 | 0.700 | 12 | 19 | 31 | 0 | 0 | 2 | 4 | 4 | 3 | 142 | 37 | 55 | 44 | 10 | 131 | 51 | 40 | 95 | 15 | 2 | 13.33% | 19 | 3 | 84.21% | 1 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 121 | 85 | 124 | 37 | 63 | 31 | 55.6% | 8.5% | 91.6% | 100.1 | DULL | |
11 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 4 | 1 | 74 | 34 | 17 | 21 | 2 | 88 | 16 | 27 | 66 | 10 | 2 | 20.00% | 10 | 1 | 90.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 71 | 50 | 71 | 23 | 39 | 19 | 53.8% | 12.2% | 92.0% | 104.2 | LUCKY | |
12 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 3 | 1 | 115 | 41 | 32 | 41 | 1 | 81 | 19 | 16 | 51 | 12 | 0 | 0.00% | 8 | 0 | 100.00% | 1 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 78 | 56 | 67 | 20 | 35 | 17 | 60.0% | 7.8% | 92.6% | 100.4 | DULL | |
13 | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 24 | 20 | 4 | 8 | 0.667 | 24 | 42 | 66 | 0 | 0 | 10 | 7 | 6 | 1 | 200 | 67 | 64 | 68 | 1 | 191 | 44 | 38 | 136 | 12 | 6 | 50.00% | 18 | 4 | 77.78% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 134 | 91 | 149 | 45 | 77 | 36 | 52.9% | 12.0% | 89.5% | 101.5 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 11 | 12 | 5 | 0 | 32 | 19 | 2 | 29 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 20 | 13 | 27 | 6 | 11 | 5 | 14.3% | 7.1% | 81.3% | 88.4 | Unlucky | |
15 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 6 | 0.750 | 18 | 31 | 49 | 0 | 0 | 5 | 9 | 4 | 0 | 135 | 40 | 43 | 52 | 0 | 109 | 34 | 30 | 78 | 16 | 4 | 25.00% | 14 | 7 | 50.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 100 | 72 | 90 | 28 | 49 | 25 | 82.4% | 13.3% | 90.8% | 104.2 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 61 | 25 | 15 | 21 | 0 | 44 | 14 | 15 | 33 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 51 | 37 | 44 | 13 | 23 | 11 | 72.7% | 14.8% | 88.6% | 103.4 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 55 | 14 | 19 | 22 | 0 | 53 | 13 | 17 | 35 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 49 | 35 | 44 | 15 | 25 | 13 | 71.4% | 10.9% | 96.2% | 107.1 | LUCKY | |
18 | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 19 | 12 | 7 | 9 | 0.900 | 19 | 34 | 53 | 0 | 0 | 5 | 5 | 8 | 1 | 162 | 51 | 60 | 49 | 2 | 161 | 38 | 43 | 101 | 21 | 6 | 28.57% | 19 | 1 | 94.74% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 123 | 86 | 117 | 36 | 63 | 32 | 54.2% | 11.7% | 92.5% | 104.3 | LUCKY | |
19 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 11 | 12 | -1 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 5 | 2 | 3 | 2 | 104 | 30 | 23 | 41 | 20 | 102 | 30 | 37 | 59 | 11 | 4 | 36.36% | 15 | 4 | 73.33% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 70 | 47 | 81 | 22 | 39 | 19 | 46.7% | 10.6% | 88.2% | 98.8 | FUN | |
_Vs Division | 18 | 9 | 7 | 0 | 1 | 0 | 1 | 0 | 65 | 54 | 11 | 22 | 0.611 | 65 | 111 | 176 | 0 | 0 | 24 | 22 | 17 | 2 | 584 | 187 | 194 | 202 | 5 | 558 | 139 | 132 | 378 | 59 | 16 | 27.12% | 63 | 17 | 73.02% | 0 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 430 | 301 | 428 | 134 | 228 | 111 | 57.0% | 11.1% | 90.3% | 101.5 | FUN | |
_Vs Conference | 37 | 17 | 12 | 0 | 4 | 2 | 2 | 0 | 117 | 103 | 14 | 48 | 0.649 | 117 | 204 | 321 | 0 | 0 | 37 | 38 | 36 | 7 | 1156 | 363 | 392 | 391 | 18 | 1107 | 308 | 270 | 747 | 127 | 26 | 20.47% | 126 | 25 | 80.16% | 2 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 894 | 626 | 879 | 275 | 469 | 232 | 53.8% | 10.1% | 90.7% | 100.8 | FUN | |
_Since Last GM Reset | 58 | 27 | 15 | 0 | 6 | 5 | 2 | 3 | 185 | 165 | 20 | 78 | 0.672 | 185 | 328 | 513 | 0 | 1 | 55 | 62 | 60 | 11 | 1803 | 588 | 572 | 612 | 56 | 1717 | 491 | 446 | 1172 | 219 | 48 | 21.92% | 199 | 37 | 81.41% | 2 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 1401 | 979 | 1388 | 432 | 736 | 365 | 51.7% | 10.3% | 90.4% | 100.7 | FUN | |
Total | 58 | 27 | 15 | 0 | 6 | 5 | 2 | 3 | 185 | 165 | 20 | 78 | 0.672 | 185 | 328 | 513 | 0 | 1 | 55 | 62 | 60 | 11 | 1803 | 588 | 572 | 612 | 56 | 1717 | 491 | 446 | 1172 | 219 | 48 | 21.92% | 199 | 37 | 81.41% | 2 | 1097 | 2112 | 51.94% | 1119 | 2012 | 55.62% | 483 | 898 | 53.79% | 1401 | 979 | 1388 | 432 | 736 | 365 | 51.7% | 10.3% | 90.4% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2112 |
Neutral Zone Start | 898 |
Defensive Zone Start | 2012 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2699 |
Faceoffs Lost | 2323 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.6 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 135 |
---|---|
PP Goal | 48 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 15 |
Lost | 5 | 10 |
Overtime Lost | 4 | 4 |
PP Attempt | 219 |
---|---|
PP Goal | 48 |
PK Attempt | 199 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 29.6 |
Goals For | 3.2 |
Goals Against | 2.8 |
Hits | 20.2 |
Shots Blocked | 8.5 |
Pim | 7.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-10-11 | @ | Islanders5,Hurricanes3 | RECAP | ||
2022-10-13 | @ | Hurricanes3,Islanders2 (OT) | RECAP | ||
2022-10-14 | @ | Canucks1,Hurricanes3 | RECAP | ||
2022-10-16 | @ | Hurricanes1,Capitals6 | RECAP | ||
2022-10-18 | @ | Hurricanes3,Blackhawks2 | RECAP | ||
2022-10-20 | @ | Hurricanes5,Islanders3 | RECAP | ||
2022-10-22 | @ | Islanders3,Hurricanes4 | RECAP | ||
2022-10-25 | @ | Panthers2,Hurricanes3 (OT) | RECAP | ||
2022-10-28 | @ | Hurricanes3,Oilers4 (OT) | RECAP | ||
2022-10-30 | @ | Hurricanes3,Predators6 | RECAP | ||
2022-10-31 | @ | Maple Leafs1,Hurricanes2 | RECAP | ||
2022-11-02 | @ | Jets2,Hurricanes5 | RECAP | ||
2022-11-04 | @ | Predators4,Hurricanes3 | RECAP | ||
2022-11-06 | @ | Hurricanes2,Capitals4 | RECAP | ||
2022-11-07 | @ | Hurricanes6,Jets2 | RECAP | ||
2022-11-09 | @ | Jets3,Hurricanes6 | RECAP | ||
2022-11-11 | @ | Canadiens2,Hurricanes4 | RECAP | ||
2022-11-13 | @ | Panthers3,Hurricanes5 | RECAP | ||
2022-11-15 | @ | Hurricanes2,Predators3 | RECAP | ||
2022-11-17 | @ | Capitals5,Hurricanes2 | RECAP | ||
2022-11-19 | @ | Hurricanes1,Jets3 | RECAP | ||
2022-11-21 | @ | Oilers1,Hurricanes2 (OT) | RECAP | ||
2022-11-23 | @ | Hurricanes2,Krakens6 | RECAP | ||
2022-11-25 | @ | Hurricanes3,Panthers1 | RECAP | ||
2022-11-27 | @ | Hurricanes3,Golden Knights4 (SO) | RECAP | ||
2022-11-29 | @ | Blue Jackets3,Hurricanes4 | RECAP | ||
2022-12-01 | @ | Hurricanes2,Oilers1 (SO) | RECAP | ||
2022-12-03 | @ | Red Wings2,Hurricanes4 | RECAP | ||
2022-12-04 | @ | Hurricanes4,Oilers2 | RECAP | ||
2022-12-06 | @ | Hurricanes1,Capitals3 | RECAP | ||
2022-12-08 | @ | Red Wings4,Hurricanes3 (OT) | RECAP | ||
2022-12-09 | @ | Hurricanes3,Flames2 | RECAP | ||
2022-12-11 | @ | Golden Knights5,Hurricanes4 (SO) | RECAP | ||
2022-12-13 | @ | Oilers3,Hurricanes1 | RECAP | ||
2022-12-16 | @ | Avalanche2,Hurricanes1 (OT) | RECAP | ||
2022-12-18 | @ | Hurricanes3,Maple Leafs2 | RECAP | ||
2022-12-21 | @ | Flames4,Hurricanes6 | RECAP | ||
2022-12-22 | @ | Hurricanes3,Flames4 (OT) | RECAP | ||
2022-12-25 | @ | Maple Leafs1,Hurricanes5 | RECAP | ||
2022-12-27 | @ | Hurricanes3,Islanders4 | RECAP | ||
2022-12-28 | @ | Hurricanes5,Canadiens3 | RECAP | ||
2022-12-30 | @ | Rangers4,Hurricanes5 | RECAP | ||
2023-01-01 | @ | Blackhawks3,Hurricanes4 | RECAP | ||
2023-01-02 | @ | Hurricanes2,Bruins3 | RECAP | ||
2023-01-04 | @ | Kings2,Hurricanes0 | RECAP | ||
2023-01-06 | @ | Bruins1,Hurricanes3 | RECAP | ||
2023-01-08 | @ | Hurricanes2,Blue Jackets0 | RECAP | ||
2023-01-10 | @ | Hurricanes2,Blackhawks1 (OT) | RECAP | ||
2023-01-11 | @ | Bruins3,Hurricanes4 (OT) | RECAP | ||
2023-01-14 | @ | Hurricanes6,Islanders3 | RECAP | ||
2023-01-16 | @ | Panthers4,Hurricanes3 (OT) | RECAP | ||
2023-01-18 | @ | Canucks1,Hurricanes3 | RECAP | ||
2023-01-19 | @ | Hurricanes5,Panthers2 | RECAP | ||
2023-01-22 | @ | Hurricanes3,Avalanche4 (SO) | RECAP | ||
2023-01-24 | @ | Maple Leafs4,Hurricanes5 (SO) | RECAP | ||
2023-01-25 | @ | Hurricanes0,Maple Leafs3 | RECAP | ||
2023-01-27 | @ | Kings1,Hurricanes3 | RECAP | ||
2023-01-29 | @ | Hurricanes4,Golden Knights3 (OT) | RECAP | ||
2023-01-30 | @ | ||||
2023-02-01 | @ | ||||
2023-02-03 | @ | ||||
2023-02-05 | @ | ||||
2023-02-07 | @ | ||||
2023-02-09 | @ | ||||
2023-02-11 | @ | ||||
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2023-02-14 | @ | ||||
2023-02-16 | @ | ||||
2023-02-17 | @ | ||||
2023-02-20 | @ | ||||
2023-02-21 | @ | ||||
2023-02-23 | @ | ||||
2023-02-24 | @ | ||||
2023-02-26 | @ | ||||
2023-02-28 | @ | ||||
2023-03-02 | @ | ||||
2023-03-04 | @ | ||||
2023-03-05 | @ | ||||
2023-03-07 | @ | ||||
2023-03-10 | @ | ||||
2023-03-12 | @ | ||||
2023-03-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,458,166$ | 0$ | 91,458,166$ | 41,834$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | PNC Arena | |
City | Caroline | ||
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 |
91,458,166$ | 92,992,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 91,458,166$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 49 | 564,314$ | 27,651,386$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
37,386,755$ | 91,458,166$ | 8,750,000$ | -28,636,755$ |
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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 |
---|---|---|---|---|---|
Aapeli Rasanen | |||||
Alex Jefferies | |||||
Alexei Kolosov | |||||
Carter Gylander | |||||
Daniel Togersson | |||||
Dmitry Kuzmin | |||||
Eamon Powell | |||||
Francisco Pinelli | |||||
Ian Moore | |||||
Jesper Sellgren | |||||
Maxim Groshev | |||||
Nathan Legare | |||||
Patrick Hamrla | |||||
Sasha Mutala | |||||
Trevor Kuntar | |||||
Will Cuylle | |||||
Xavier Bourgault |
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 |
---|---|---|---|---|---|
Aapeli Rasanen | |||||
Alex Jefferies | |||||
Alexei Kolosov | |||||
Carter Gylander | |||||
Daniel Togersson | |||||
Dmitry Kuzmin | |||||
Eamon Powell | |||||
Francisco Pinelli | |||||
Ian Moore | |||||
Jesper Sellgren | |||||
Maxim Groshev | |||||
Nathan Legare | |||||
Patrick Hamrla | |||||
Sasha Mutala | |||||
Trevor Kuntar | |||||
Will Cuylle | |||||
Xavier Bourgault |
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