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Dallas Stars Team Overall:70 0-0-0, 0pts · 2nd 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 0" | 200 | 27 | 70 | 40 | 82 | 90 | 81 | 89 | 85 | 92 | 72 | 96 | 89 | 64 | 69 | 77 | 71 | 0 | 40 | 87 | 100.00 | 6,300,000$/1yrs | |
0 | ![]() | C | 6' 3" | 225 | 35 | 71 | 40 | 93 | 80 | 89 | 84 | 93 | 76 | 88 | 84 | 75 | 74 | 59 | 97 | 93 | 0 | 40 | 82 | 100.00 | 10,000,000$/1yrs | |
0 | ![]() | C | 6' 3" | 215 | 26 | 72 | 40 | 82 | 84 | 84 | 77 | 88 | 79 | 77 | 83 | 85 | 70 | 78 | 64 | 59 | 0 | 40 | 81 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 217 | 31 | 74 | 40 | 87 | 74 | 85 | 82 | 72 | 74 | 52 | 83 | 79 | 75 | 68 | 73 | 77 | 0 | 40 | 80 | 100.00 | 9,500,000$/3yrs | |
0 | ![]() | C | 6' 0" | 209 | 29 | 72 | 40 | 88 | 85 | 85 | 81 | 92 | 73 | 90 | 86 | 67 | 73 | 88 | 68 | 59 | 0 | 40 | 79 | 100.00 | 1,050,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 185 | 25 | 65 | 40 | 85 | 92 | 73 | 82 | 86 | 75 | 54 | 84 | 76 | 67 | 71 | 63 | 59 | 0 | 40 | 79 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | RW | 6' 0" | 203 | 31 | 69 | 40 | 85 | 71 | 82 | 75 | 91 | 75 | 56 | 82 | 79 | 74 | 71 | 78 | 65 | 0 | 40 | 79 | 100.00 | 4,600,000$/1yrs | |
0 | ![]() | C | 6' 3" | 218 | 30 | 71 | 40 | 78 | 69 | 86 | 73 | 82 | 66 | 89 | 77 | 69 | 69 | 90 | 82 | 70 | 0 | 40 | 74 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 183 | 23 | 70 | 67 | 84 | 67 | 71 | 76 | 90 | 65 | 58 | 76 | 68 | 68 | 56 | 62 | 58 | 0 | 40 | 72 | 100.00 | 1,425,000$/3yrs | |
0 | ![]() | LW | 6' 4" | 210 | 27 | 75 | 66 | 72 | 74 | 80 | 73 | 83 | 65 | 56 | 77 | 67 | 68 | 54 | 59 | 58 | 0 | 40 | 72 | 100.00 | 831,250$/3yrs | |
0 | ![]() | C | 6' 3" | 210 | 33 | 69 | 40 | 78 | 62 | 81 | 71 | 77 | 62 | 82 | 76 | 62 | 77 | 54 | 68 | 59 | 0 | 40 | 71 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 208 | 31 | 84 | 67 | 78 | 64 | 80 | 63 | 96 | 60 | 53 | 71 | 66 | 80 | 54 | 69 | 59 | 0 | 40 | 71 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | C | 6' 0" | 197 | 25 | 77 | 67 | 73 | 64 | 79 | 72 | 75 | 62 | 54 | 76 | 63 | 74 | 54 | 63 | 59 | 0 | 40 | 71 | 100.00 | 1,425,000$/1yrs | |
0 | ![]() | C | 5' 11" | 185 | 26 | 78 | 40 | 84 | 66 | 74 | 62 | 82 | 58 | 69 | 70 | 61 | 77 | 54 | 62 | 58 | 0 | 40 | 69 | 100.00 | 1,100,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 209 | 24 | 85 | 99 | 84 | 58 | 82 | 56 | 69 | 58 | 52 | 71 | 61 | 70 | 54 | 57 | 58 | 0 | 40 | 67 | 100.00 | 863,333$/2yrs | |
0 | ![]() | C | 6' 0" | 192 | 36 | 67 | 40 | 83 | 66 | 76 | 66 | 69 | 51 | 65 | 67 | 54 | 72 | 58 | 81 | 60 | 0 | 40 | 66 | 100.00 | 1,950,000$/2yrs | |
0 | ![]() | C | 5' 7" | 140 | 25 | 54 | 60 | 67 | 64 | 54 | 67 | 64 | 66 | 55 | 62 | 67 | 64 | 59 | 60 | 56 | 0 | 40 | 65 | 100.00 | 750,000$/3yrs | |
0 | ![]() | RW | 6' 1" | 188 | 23 | 60 | 48 | 80 | 64 | 68 | 64 | 61 | 61 | 54 | 67 | 62 | 65 | 69 | 57 | 56 | 0 | 40 | 65 | 100.00 | 925,000$/3yrs | |
0 | ![]() | RW | 5' 9" | 183 | 23 | 55 | 58 | 66 | 64 | 59 | 68 | 66 | 64 | 55 | 61 | 63 | 58 | 54 | 59 | 55 | 0 | 40 | 64 | 100.00 | 842,500$/1yrs | |
0 | ![]() | C | 5' 11" | 190 | 26 | 55 | 58 | 64 | 62 | 61 | 67 | 65 | 61 | 70 | 58 | 62 | 61 | 54 | 62 | 57 | 0 | 40 | 63 | 100.00 | 919,166$/1yrs | |
0 | ![]() | LW | 5' 10" | 195 | 28 | 57 | 51 | 69 | 58 | 67 | 63 | 62 | 58 | 55 | 62 | 57 | 64 | 56 | 66 | 60 | 0 | 40 | 62 | 100.00 | 3,400,000$/1yrs | |
0 | ![]() | C | 6' 1" | 207 | 25 | 55 | 57 | 65 | 61 | 67 | 66 | 64 | 58 | 70 | 55 | 60 | 63 | 54 | 61 | 56 | 0 | 40 | 62 | 100.00 | 770,000$/1yrs | |
0 | ![]() | C | 5' 11" | 195 | 24 | 68 | 45 | 80 | 59 | 73 | 57 | 63 | 54 | 73 | 63 | 56 | 65 | 54 | 57 | 57 | 0 | 40 | 62 | 100.00 | 927,500$/1yrs | |
0 | ![]() | C | 5' 9" | 176 | 27 | 58 | 53 | 75 | 59 | 62 | 62 | 58 | 58 | 55 | 62 | 59 | 64 | 56 | 61 | 58 | 0 | 40 | 62 | 100.00 | 808,333$/2yrs | |
0 | ![]() | LW | 6' 5" | 225 | 24 | 56 | 56 | 67 | 58 | 75 | 63 | 61 | 58 | 69 | 59 | 58 | 60 | 54 | 60 | 56 | 0 | 40 | 62 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 190 | 28 | 54 | 57 | 67 | 59 | 63 | 64 | 62 | 59 | 55 | 57 | 58 | 59 | 54 | 66 | 59 | 0 | 40 | 61 | 100.00 | 716,667$/2yrs | |
0 | ![]() | RW | 5' 11" | 187 | 25 | 55 | 55 | 66 | 59 | 61 | 64 | 63 | 59 | 55 | 57 | 58 | 62 | 54 | 61 | 56 | 0 | 40 | 61 | 100.00 | 894,166$/1yrs | |
0 | ![]() | C | 5' 11" | 177 | 21 | 56 | 53 | 67 | 58 | 60 | 64 | 61 | 58 | 55 | 60 | 57 | 64 | 54 | 54 | 53 | 0 | 40 | 61 | 100.00 | 878,333$/3yrs | |
0 | ![]() | C | 6' 0" | 183 | 34 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 2,750,000$/1yrs | |
0 | ![]() | D | 6' 1" | 191 | 29 | 72 | 40 | 85 | 84 | 74 | 96 | 89 | 69 | 40 | 84 | 62 | 90 | 54 | 64 | 59 | 0 | 40 | 80 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 5' 11" | 214 | 31 | 76 | 40 | 84 | 91 | 90 | 90 | 87 | 67 | 40 | 81 | 63 | 85 | 54 | 77 | 60 | 0 | 40 | 80 | 100.00 | 5,100,000$/1yrs | |
0 | ![]() | D | 6' 0" | 201 | 36 | 80 | 40 | 80 | 87 | 81 | 95 | 89 | 69 | 40 | 79 | 66 | 79 | 58 | 87 | 71 | 0 | 40 | 80 | 100.00 | 7,250,000$/1yrs | |
0 | ![]() | D | 6' 1" | 202 | 26 | 66 | 40 | 84 | 81 | 80 | 93 | 92 | 69 | 40 | 80 | 66 | 84 | 77 | 66 | 59 | 0 | 40 | 79 | 100.00 | 863,333$/1yrs | |
0 | ![]() | D | 6' 5" | 215 | 23 | 81 | 40 | 82 | 75 | 81 | 88 | 93 | 67 | 40 | 81 | 64 | 84 | 68 | 61 | 58 | 0 | 40 | 78 | 100.00 | 1,275,000$/2yrs | |
0 | ![]() | D | 6' 3" | 232 | 32 | 70 | 64 | 76 | 68 | 93 | 85 | 90 | 60 | 40 | 73 | 61 | 86 | 54 | 73 | 65 | 0 | 40 | 75 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | D | 6' 1" | 210 | 35 | 64 | 64 | 84 | 71 | 84 | 81 | 83 | 58 | 40 | 72 | 59 | 87 | 54 | 79 | 60 | 0 | 40 | 73 | 100.00 | 4,625,000$/1yrs | |
0 | ![]() | D | 6' 2" | 222 | 32 | 75 | 40 | 79 | 75 | 89 | 71 | 76 | 56 | 40 | 70 | 57 | 79 | 68 | 80 | 68 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 2" | 205 | 36 | 66 | 65 | 85 | 61 | 80 | 71 | 80 | 55 | 40 | 68 | 57 | 86 | 54 | 82 | 60 | 0 | 40 | 70 | 100.00 | 1,800,000$/2yrs | |
0 | ![]() | D | 6' 4" | 213 | 23 | 67 | 42 | 87 | 72 | 80 | 72 | 60 | 56 | 40 | 70 | 55 | 87 | 54 | 55 | 57 | 0 | 40 | 70 | 100.00 | 878,750$/1yrs | |
0 | ![]() | D | 5' 9" | 177 | 34 | 61 | 46 | 80 | 64 | 67 | 61 | 66 | 58 | 40 | 66 | 60 | 75 | 54 | 68 | 61 | 0 | 40 | 66 | 100.00 | 766,667$/2yrs | |
0 | ![]() | D | 6' 2" | 175 | 25 | 57 | 50 | 72 | 58 | 61 | 65 | 59 | 55 | 40 | 60 | 56 | 70 | 54 | 60 | 57 | 0 | 40 | 62 | 100.00 | 784,583$/3yrs | |
0 | ![]() | D | 6' 0" | 185 | 24 | 55 | 55 | 65 | 61 | 61 | 68 | 66 | 61 | 40 | 60 | 57 | 59 | 54 | 59 | 55 | 0 | 40 | 62 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 3" | 212 | 25 | 56 | 54 | 63 | 58 | 69 | 66 | 65 | 57 | 40 | 57 | 56 | 64 | 54 | 62 | 57 | 0 | 40 | 61 | 100.00 | 700,000$/2yrs | |
0 | ![]() | D | 6' 2" | 203 | 28 | 55 | 57 | 66 | 56 | 66 | 61 | 60 | 56 | 40 | 56 | 56 | 60 | 54 | 66 | 59 | 0 | 40 | 60 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | D | 6' 2" | 176 | 25 | 55 | 53 | 68 | 56 | 62 | 62 | 60 | 55 | 40 | 55 | 54 | 59 | 54 | 62 | 57 | 0 | 40 | 59 | 100.00 | 750,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 5" | 212 | 29 | 96 | 88 | 88 | 81 | 96 | 91 | 65 | 56 | 0 | 40 | 88 | 100.00 | 1,325,000$/1yrs | |||||||
0 | ![]() | 6' 0" | 195 | 34 | 87 | 73 | 71 | 82 | 85 | 81 | 67 | 60 | 0 | 40 | 79 | 100.00 | 3,125,000$/1yrs | |||||||
0 | ![]() | 6' 1" | 220 | 37 | 70 | 81 | 82 | 77 | 78 | 85 | 92 | 79 | 0 | 40 | 77 | 100.00 | 5,800,000$/1yrs | |||||||
0 | ![]() | 6' 5" | 217 | 24 | 64 | 73 | 72 | 82 | 77 | 64 | 57 | 55 | 0 | 40 | 72 | 100.00 | 910,833$/1yrs | |||||||
0 | ![]() | 6' 1" | 185 | 25 | 60 | 65 | 65 | 60 | 67 | 62 | 62 | 56 | 0 | 40 | 63 | 100.00 | 725,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 92 | 94 | 81 | 75 | 70 | 76 | CAN | 51 | 3 | 2,000,000$ |
General Manager | Alexandre Gauthier |
---|
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 | 50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez ![]() | D | 35 | 5,250,000$ | 5,250,000$ | |||||||
Alexander Alexeyev ![]() | D | 23 | 863,333$ | 863,333$ | |||||||
Andreas Johnsson ![]() | LW | 28 | 3,400,000$ | 3,400,000$ | |||||||
Antti Raanta ![]() | D | 34 | 2,000,000$ | 2,000,000$ | |||||||
Anze Kopitar ![]() | C | 35 | 10,000,000$ | 10,000,000$ | |||||||
Ben Chiarot ![]() | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Brad Hunt ![]() | D | 34 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brian Pinho ![]() | RW | 28 | 725,000$ | 725,000$ | 725,000$ | ||||||
Carl Hagelin ![]() | C | 34 | 2,750,000$ | 2,750,000$ | |||||||
Chandler Stephenson ![]() | C | 29 | 1,050,000$ | 1,050,000$ | |||||||
Connor Bunnaman ![]() | C | 25 | 750,000$ | 750,000$ | |||||||
Darren Helm ![]() | C | 36 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Derek Grant ![]() | C | 33 | 1,500,000$ | 1,500,000$ | |||||||
Devon Toews ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Dmitry Orlov ![]() | D | 31 | 5,100,000$ | 5,100,000$ | |||||||
Dylan Gambrell ![]() | C | 26 | 1,100,000$ | 1,100,000$ | |||||||
Garnet Hathaway ![]() | RW | 31 | 1,500,000$ | 1,500,000$ | |||||||
Garrett Pilon ![]() | RW | 25 | 894,166$ | 894,166$ | |||||||
Guillaume Brisebois ![]() | D | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jake Leschyshyn ![]() | C | 24 | 927,500$ | 927,500$ | |||||||
Jean-Luc Foudy ![]() | C | 21 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | |||||
Jesse Ylonen ![]() | RW | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Joe Snively ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | ||||||
Joel Farabee ![]() | LW | 23 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | |||||
Jonah Gadjovich ![]() | LW | 24 | 863,333$ | 863,333$ | 863,333$ | ||||||
Jonathan Quick ![]() | C | 37 | 5,800,000$ | 5,800,000$ | |||||||
Justin Braun ![]() | D | 36 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
K'Andre Miller ![]() | D | 23 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Kris Letang ![]() | D | 36 | 7,250,000$ | 7,250,000$ | |||||||
Linus Ullmark ![]() | LW | 29 | 1,325,000$ | 1,325,000$ | |||||||
Lucas Johansen ![]() | D | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Luke Kunin ![]() | C | 25 | 1,425,000$ | 1,425,000$ | |||||||
Madison Bowey ![]() | D | 28 | 1,000,000$ | 1,000,000$ | |||||||
Mark Stone ![]() | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Mason Marchment ![]() | LW | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Matthew Phillips ![]() | C | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Mitchell Stephens ![]() | C | 26 | 919,166$ | 919,166$ | |||||||
Nathan MacKinnon ![]() | C | 27 | 6,300,000$ | 6,300,000$ | |||||||
Nicolas Meloche ![]() | D | 25 | 700,000$ | 700,000$ | 700,000$ | ||||||
Otto Koivula ![]() | LW | 24 | 925,000$ | 925,000$ | |||||||
Rasmus Andersson ![]() | D | 26 | 863,333$ | 863,333$ | |||||||
Reilly Walsh ![]() | D | 24 | 925,000$ | 925,000$ | |||||||
Roope Hintz ![]() | C | 26 | 925,000$ | 925,000$ | |||||||
Ryan Johansen ![]() | C | 30 | 8,000,000$ | 8,000,000$ | |||||||
Troy Terry ![]() | RW | 25 | 1,491,667$ | 1,491,667$ | |||||||
Tyler Toffoli ![]() | RW | 31 | 4,600,000$ | 4,600,000$ | |||||||
Ukko-Pekka Luukkonen ![]() | D | 24 | 910,833$ | 910,833$ | |||||||
Valtteri Puustinen ![]() | RW | 23 | 842,500$ | 842,500$ | |||||||
Zach Bogosian ![]() | D | 32 | 850,000$ | 850,000$ | |||||||
Zach Sawchenko ![]() | LW | 25 | 725,000$ | 725,000$ | 725,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
110,054,164$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
110,054,164$ | 111,697,081$ | 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$ |
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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 |
---|---|---|---|---|---|
Andrei Buyalsky | |||||
Calle Clang | |||||
Daniil Chechelev | |||||
Francesco Arcuri | |||||
Fyodor Svechkov | |||||
Kirill Kirsanov | |||||
Nikita Chibrikov | |||||
Samu Salminen | |||||
Samu Tuomaala | |||||
Ty Voit | |||||
Vyacheslav Peksa | |||||
Xavier Simoneau |
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 |
---|---|---|---|---|---|
Andrei Buyalsky | |||||
Calle Clang | |||||
Daniil Chechelev | |||||
Francesco Arcuri | |||||
Fyodor Svechkov | |||||
Kirill Kirsanov | |||||
Nikita Chibrikov | |||||
Samu Salminen | |||||
Samu Tuomaala | |||||
Ty Voit | |||||
Vyacheslav Peksa | |||||
Xavier Simoneau |