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Calgary Flames Team Overall:72 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | RW | 6' 4" | 215 | 25 | 71 | 40 | 72 | 83 | 83 | 89 | 92 | 85 | 74 | 87 | 94 | 62 | 67 | 70 | 66 | 0 | 40 | 84 | 100.00 | 9,250,000$/3yrs | |
0 | ![]() | C | 5' 11" | 180 | 26 | 66 | 64 | 95 | 91 | 71 | 83 | 90 | 82 | 77 | 84 | 88 | 66 | 68 | 70 | 59 | 0 | 40 | 83 | 100.00 | 9,500,000$/3yrs | |
0 | ![]() | LW | 6' 3" | 200 | 23 | 72 | 40 | 86 | 75 | 76 | 81 | 91 | 86 | 51 | 90 | 90 | 72 | 83 | 61 | 58 | 0 | 40 | 83 | 100.00 | 7,750,000$/3yrs | |
0 | ![]() | C | 6' 3" | 198 | 29 | 67 | 64 | 87 | 82 | 75 | 85 | 90 | 74 | 75 | 77 | 84 | 66 | 76 | 78 | 71 | 0 | 40 | 79 | 100.00 | 6,125,000$/3yrs | |
0 | ![]() | LW | 6' 2" | 210 | 31 | 82 | 66 | 60 | 72 | 83 | 80 | 75 | 69 | 56 | 77 | 79 | 66 | 56 | 82 | 60 | 0 | 40 | 77 | 100.00 | 3,331,727$/2yrs | |
0 | ![]() | LW | 6' 1" | 196 | 34 | 75 | 40 | 75 | 70 | 77 | 76 | 91 | 70 | 52 | 78 | 74 | 69 | 68 | 89 | 67 | 0 | 40 | 76 | 100.00 | 4,750,000$/3yrs | |
0 | ![]() | C/RW | 6' 3" | 215 | 23 | 72 | 40 | 86 | 70 | 84 | 73 | 77 | 70 | 69 | 76 | 79 | 73 | 68 | 59 | 58 | 0 | 40 | 76 | 100.00 | 825,000$/3yrs | |
0 | ![]() | C | 6' 0" | 180 | 20 | 70 | 40 | 88 | 70 | 70 | 75 | 89 | 70 | 64 | 78 | 76 | 73 | 54 | 59 | 58 | 0 | 40 | 75 | 100.00 | 1,294,167$/2yrs | |
0 | ![]() | C | 6' 0" | 192 | 30 | 70 | 40 | 88 | 65 | 76 | 70 | 87 | 67 | 66 | 76 | 72 | 74 | 57 | 75 | 60 | 0 | 40 | 74 | 100.00 | 2,100,000$/3yrs | |
0 | ![]() | C | 6' 1" | 200 | 25 | 72 | 40 | 90 | 78 | 79 | 75 | 89 | 68 | 70 | 81 | 65 | 65 | 54 | 67 | 59 | 0 | 40 | 74 | 100.00 | 4,000,000$/3yrs | |
0 | ![]() | C | 6' 1" | 193 | 32 | 81 | 40 | 83 | 69 | 75 | 67 | 86 | 63 | 77 | 73 | 69 | 83 | 54 | 68 | 59 | 0 | 40 | 74 | 100.00 | 1,300,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 198 | 24 | 75 | 40 | 88 | 66 | 75 | 75 | 86 | 65 | 57 | 73 | 70 | 71 | 54 | 59 | 58 | 0 | 40 | 72 | 100.00 | 758,333$/3yrs | |
0 | ![]() | C | 6' 2" | 196 | 24 | 71 | 40 | 87 | 72 | 76 | 70 | 89 | 64 | 50 | 75 | 68 | 71 | 94 | 61 | 58 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 6" | 222 | 22 | 80 | 42 | 74 | 64 | 97 | 82 | 89 | 62 | 58 | 60 | 63 | 65 | 57 | 63 | 65 | 0 | 40 | 70 | 100.00 | 879,166$/2yrs | |
0 | ![]() | C | 5' 11" | 200 | 23 | 71 | 40 | 93 | 64 | 82 | 60 | 68 | 59 | 65 | 71 | 65 | 67 | 54 | 57 | 58 | 0 | 40 | 68 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 1" | 187 | 23 | 74 | 40 | 84 | 69 | 72 | 60 | 68 | 57 | 70 | 70 | 61 | 66 | 54 | 57 | 58 | 0 | 40 | 67 | 100.00 | 762,500$/3yrs | |
0 | ![]() | C | 5' 10" | 181 | 25 | 55 | 62 | 64 | 66 | 59 | 67 | 66 | 68 | 55 | 66 | 63 | 65 | 54 | 62 | 57 | 0 | 40 | 66 | 100.00 | 758,000$/3yrs | |
0 | ![]() | C | 6' 0" | 180 | 21 | 55 | 62 | 69 | 61 | 62 | 65 | 63 | 59 | 68 | 59 | 59 | 60 | 64 | 55 | 53 | 0 | 40 | 62 | 100.00 | 894,167$/1yrs | |
0 | ![]() | LW | 6' 0" | 200 | 22 | 56 | 54 | 70 | 61 | 67 | 65 | 62 | 59 | 54 | 58 | 63 | 56 | 61 | 57 | 55 | 0 | 40 | 62 | 100.00 | 910,833$/1yrs | |
0 | ![]() | C | 6' 3" | 185 | 22 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 863,333$/2yrs | |
0 | ![]() | D | 6' 6" | 230 | 29 | 71 | 40 | 76 | 82 | 87 | 88 | 89 | 76 | 40 | 86 | 70 | 79 | 61 | 79 | 66 | 0 | 40 | 81 | 100.00 | 9,000,000$/3yrs | |
0 | ![]() | D | 6' 2" | 205 | 28 | 72 | 40 | 83 | 82 | 80 | 83 | 92 | 64 | 40 | 77 | 62 | 82 | 58 | 75 | 66 | 0 | 40 | 76 | 100.00 | 4,166,666$/3yrs | |
0 | ![]() | D | 6' 2" | 200 | 31 | 67 | 40 | 82 | 75 | 78 | 84 | 82 | 64 | 40 | 79 | 59 | 81 | 57 | 84 | 61 | 0 | 40 | 75 | 100.00 | 8,250,000$/1yrs | |
0 | ![]() | D | 6' 2" | 207 | 25 | 73 | 65 | 81 | 84 | 81 | 76 | 83 | 59 | 40 | 71 | 62 | 84 | 54 | 60 | 58 | 0 | 40 | 74 | 100.00 | 2,750,000$/3yrs | |
0 | ![]() | D | 6' 0" | 189 | 24 | 70 | 40 | 75 | 80 | 75 | 77 | 90 | 57 | 40 | 71 | 58 | 90 | 54 | 62 | 58 | 0 | 40 | 73 | 100.00 | 2,400,000$/3yrs | |
0 | ![]() | D | 5' 11" | 173 | 22 | 63 | 40 | 83 | 72 | 67 | 74 | 71 | 65 | 40 | 78 | 60 | 77 | 54 | 57 | 58 | 0 | 40 | 71 | 100.00 | 910,833$/2yrs | |
0 | ![]() | D | 5' 11" | 190 | 22 | 68 | 40 | 81 | 71 | 77 | 74 | 73 | 60 | 40 | 72 | 62 | 77 | 54 | 57 | 58 | 0 | 40 | 71 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | D | 6' 3" | 210 | 32 | 69 | 65 | 75 | 63 | 81 | 67 | 67 | 59 | 40 | 71 | 63 | 77 | 54 | 72 | 59 | 0 | 40 | 70 | 100.00 | 750,000$/1yrs | |
0 | ![]() | D | 6' 1" | 204 | 23 | 74 | 40 | 88 | 74 | 81 | 67 | 59 | 52 | 40 | 70 | 54 | 77 | 54 | 56 | 58 | 0 | 40 | 68 | 100.00 | 883,333$/1yrs | |
0 | ![]() | D | 5' 11" | 193 | 23 | 61 | 42 | 84 | 66 | 76 | 71 | 63 | 58 | 40 | 71 | 57 | 66 | 54 | 57 | 58 | 0 | 40 | 66 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | D | 5' 10" | 178 | 21 | 57 | 52 | 70 | 61 | 61 | 66 | 61 | 58 | 40 | 61 | 57 | 66 | 56 | 57 | 55 | 0 | 40 | 63 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 5' 11" | 180 | 22 | 58 | 54 | 68 | 60 | 61 | 66 | 62 | 58 | 40 | 61 | 57 | 61 | 54 | 57 | 55 | 0 | 40 | 62 | 100.00 | 1,263,333$/1yrs | |
0 | ![]() | D | 6' 1" | 185 | 21 | 57 | 52 | 68 | 60 | 62 | 64 | 61 | 59 | 40 | 62 | 55 | 66 | 54 | 55 | 54 | 0 | 40 | 62 | 100.00 | 1,106,667$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 3" | 214 | 25 | 88 | 84 | 83 | 78 | 89 | 73 | 61 | 57 | 0 | 40 | 83 | 100.00 | 1,800,000$/3yrs | |||||||
0 | ![]() | 6' 0" | 181 | 31 | 74 | 79 | 80 | 86 | 84 | 73 | 62 | 55 | 0 | 40 | 78 | 100.00 | 1,250,000$/2yrs | |||||||
0 | ![]() | 6' 3" | 201 | 32 | 56 | 61 | 61 | 65 | 71 | 59 | 67 | 59 | 0 | 40 | 67 | 100.00 | 750,000$/1yrs | |||||||
0 | ![]() | 6' 2" | 185 | 27 | 60 | 65 | 64 | 67 | 67 | 65 | 67 | 59 | 0 | 40 | 64 | 100.00 | 858,333$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 80 | 87 | 92 | 78 | 86 | 80 | 61 | CAN | 58 | 1 | 125,000$ |
General Manager | Francois Legault |
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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 |
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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 |
# | 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 | 37 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Barre-Boulet ![]() | C | 25 | 758,000$ | 758,000$ | 758,000$ | 758,000$ | |||||
Alexei Toropchenko ![]() | RW | 22 | 879,166$ | 879,166$ | 879,166$ | ||||||
Brayden Point ![]() | C | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Cal Petersen ![]() | D | 27 | 858,333$ | 858,333$ | 858,333$ | ||||||
Cale Fleury ![]() | D | 23 | 883,333$ | 883,333$ | |||||||
Calen Addison ![]() | D | 22 | 910,833$ | 910,833$ | 910,833$ | ||||||
Calle Jarnkrok ![]() | C | 30 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | |||||
Casey Desmith ![]() | C/LW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Connor McMichael ![]() | C | 21 | 894,167$ | 894,167$ | |||||||
Damon Severson ![]() | D | 28 | 4,166,666$ | 4,166,666$ | 4,166,666$ | 4,166,666$ | |||||
Dante Fabbro ![]() | D | 24 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | |||||
David Perron ![]() | LW | 34 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Dawson Mercer ![]() | C | 20 | 1,294,167$ | 1,294,167$ | 1,294,167$ | ||||||
Dougie Hamilton ![]() | D | 29 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||||
Evander Kane ![]() | LW | 31 | 2,108,969$ | 2,108,969$ | 2,108,969$ | ||||||
Gabriel Vilardi ![]() | C/RW | 23 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Ian Mitchell ![]() | D | 23 | 1,775,000$ | 1,775,000$ | |||||||
Ilya Samsonov ![]() | C | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | |||||
Jack Roslovic ![]() | C | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Jack Studnicka ![]() | C | 23 | 762,500$ | 762,500$ | 762,500$ | 762,500$ | |||||
Jaret Anderson-Dolan ![]() | C | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jason Robertson ![]() | LW | 23 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | |||||
Kody Clark ![]() | C | 22 | 863,333$ | 863,333$ | 863,333$ | ||||||
Mark Scheifele ![]() | C | 29 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | |||||
Michael Hutchinson ![]() | D | 32 | 750,000$ | 750,000$ | |||||||
Michael Stone ![]() | D | 32 | 750,000$ | 750,000$ | |||||||
Mikko Rantanen ![]() | RW | 25 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | |||||
Nic Dowd ![]() | C | 32 | 1,300,000$ | 1,300,000$ | |||||||
Nils Lundkvist ![]() | D | 22 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Oliver Ekman-Larsson ![]() | D | 31 | 8,250,000$ | 8,250,000$ | |||||||
Samuel Fagemo ![]() | LW | 22 | 910,833$ | 910,833$ | |||||||
Taylor Raddysh ![]() | RW | 24 | 758,333$ | 758,333$ | 758,333$ | 758,333$ | |||||
Ty Smith ![]() | D | 22 | 1,263,333$ | 1,263,333$ | |||||||
Ville Heinola ![]() | D | 21 | 1,106,667$ | 1,106,667$ | |||||||
Yegor Sharangovich ![]() | C | 24 | 925,000$ | 925,000$ | |||||||
Zac Jones ![]() | D | 21 | 925,000$ | 925,000$ | |||||||
Zach Whitecloud ![]() | D | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
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 |
97,118,633$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Saddledome | |
City | Calgary | ||
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 |
97,118,633$ | 98,341,391$ | 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$ | 7,050,000$ | 7,050,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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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 |
---|---|---|---|---|---|
Adam Sykora | |||||
Alexander Pashin | |||||
Bryce Brodzinski | |||||
Connor Kurth | |||||
Dominic James | |||||
Ilya Nikolaev | |||||
Jayden Grubbe | |||||
Kasper Simontaival | |||||
Liam Dower-Nilsson | |||||
Mats Lindgren | |||||
Michael Fisher | |||||
Oliver Johansson | |||||
Olivier Kapanen | |||||
Owen Beck | |||||
Patrick Moynihan | |||||
Prokhor Poltapov | |||||
Rhett Pitlick | |||||
Ryder Korczak | |||||
Veeti Miettinen | |||||
William Stromgren | |||||
Zam Plante |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Adam Sykora | |||||
Alexander Pashin | |||||
Bryce Brodzinski | |||||
Connor Kurth | |||||
Dominic James | |||||
Ilya Nikolaev | |||||
Jayden Grubbe | |||||
Kasper Simontaival | |||||
Liam Dower-Nilsson | |||||
Mats Lindgren | |||||
Michael Fisher | |||||
Oliver Johansson | |||||
Olivier Kapanen | |||||
Owen Beck | |||||
Patrick Moynihan | |||||
Prokhor Poltapov | |||||
Rhett Pitlick | |||||
Ryder Korczak | |||||
Veeti Miettinen | |||||
William Stromgren | |||||
Zam Plante |