Full Scoreboard »» |
Montréal Canadiens 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 | ![]() | C | 6' 0" | 182 | 33 | 72 | 40 | 77 | 77 | 71 | 81 | 91 | 79 | 82 | 86 | 78 | 70 | 71 | 87 | 93 | 0 | 40 | 81 | 100.00 | 8,500,000$/1yrs | |
0 | ![]() | RW | 5' 10" | 175 | 26 | 71 | 65 | 69 | 84 | 70 | 84 | 85 | 79 | 65 | 84 | 85 | 68 | 56 | 70 | 59 | 0 | 40 | 81 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | C | 5' 11" | 208 | 23 | 69 | 40 | 87 | 89 | 86 | 86 | 92 | 73 | 76 | 83 | 77 | 69 | 83 | 64 | 67 | 0 | 40 | 80 | 100.00 | 1,325,833$/1yrs | |
0 | ![]() | LW | 6' 3" | 230 | 32 | 76 | 40 | 84 | 73 | 92 | 79 | 92 | 70 | 67 | 74 | 81 | 76 | 57 | 78 | 71 | 0 | 40 | 79 | 100.00 | 4,625,000$/1yrs | |
0 | ![]() | C | 6' 1" | 196 | 37 | 74 | 40 | 86 | 74 | 77 | 77 | 90 | 72 | 96 | 79 | 74 | 76 | 58 | 97 | 88 | 0 | 40 | 79 | 100.00 | 6,875,000$/1yrs | |
0 | ![]() | C | 6' 1" | 199 | 31 | 76 | 66 | 83 | 75 | 79 | 80 | 90 | 73 | 73 | 84 | 71 | 68 | 64 | 82 | 68 | 0 | 40 | 78 | 100.00 | 5,125,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 179 | 24 | 76 | 40 | 78 | 76 | 67 | 80 | 93 | 73 | 45 | 80 | 77 | 71 | 54 | 61 | 58 | 0 | 40 | 77 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW | 6' 4" | 215 | 25 | 79 | 64 | 82 | 71 | 83 | 78 | 90 | 68 | 60 | 76 | 73 | 76 | 54 | 68 | 64 | 0 | 40 | 76 | 100.00 | 1,533,333$/1yrs | |
0 | ![]() | C | 6' 2" | 190 | 28 | 70 | 40 | 87 | 77 | 72 | 80 | 92 | 65 | 74 | 78 | 65 | 76 | 58 | 75 | 60 | 0 | 40 | 75 | 100.00 | 2,250,000$/2yrs | |
0 | ![]() | C | 5' 10" | 185 | 30 | 72 | 40 | 84 | 75 | 75 | 77 | 81 | 68 | 69 | 76 | 72 | 72 | 54 | 76 | 69 | 0 | 40 | 75 | 100.00 | 5,350,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 187 | 36 | 79 | 70 | 77 | 71 | 74 | 75 | 79 | 69 | 69 | 76 | 73 | 65 | 68 | 86 | 70 | 0 | 40 | 75 | 100.00 | 5,750,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 208 | 26 | 69 | 40 | 84 | 70 | 83 | 77 | 87 | 72 | 60 | 82 | 69 | 64 | 57 | 67 | 59 | 0 | 40 | 74 | 100.00 | 5,875,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 191 | 28 | 73 | 40 | 86 | 67 | 77 | 76 | 83 | 67 | 72 | 79 | 68 | 71 | 79 | 74 | 60 | 0 | 40 | 74 | 100.00 | 5,400,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 218 | 28 | 79 | 40 | 78 | 71 | 87 | 65 | 83 | 65 | 52 | 73 | 74 | 75 | 54 | 66 | 59 | 0 | 40 | 74 | 100.00 | 725,000$/1yrs | |
0 | ![]() | C | 6' 1" | 200 | 29 | 77 | 40 | 87 | 64 | 79 | 73 | 93 | 63 | 83 | 74 | 66 | 76 | 54 | 72 | 59 | 0 | 40 | 73 | 100.00 | 2,857,143$/1yrs | |
0 | ![]() | RW | 6' 5" | 234 | 28 | 70 | 69 | 87 | 68 | 91 | 69 | 80 | 64 | 57 | 75 | 66 | 73 | 57 | 68 | 59 | 0 | 40 | 72 | 100.00 | 3,300,000$/1yrs | |
0 | ![]() | C | 5' 11" | 190 | 32 | 83 | 64 | 81 | 72 | 77 | 70 | 93 | 60 | 82 | 73 | 61 | 78 | 58 | 79 | 60 | 0 | 40 | 72 | 100.00 | 3,350,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 185 | 21 | 69 | 64 | 90 | 69 | 71 | 68 | 75 | 66 | 56 | 77 | 70 | 71 | 81 | 57 | 58 | 0 | 40 | 72 | 100.00 | 1,744,167$/1yrs | |
0 | ![]() | RW | 6' 1" | 187 | 26 | 79 | 40 | 80 | 73 | 72 | 69 | 82 | 62 | 53 | 76 | 60 | 78 | 54 | 63 | 59 | 0 | 40 | 71 | 100.00 | 910,833$/1yrs | |
0 | ![]() | LW | 6' 1" | 210 | 25 | 97 | 83 | 79 | 66 | 84 | 57 | 81 | 60 | 55 | 71 | 64 | 73 | 92 | 58 | 58 | 0 | 40 | 71 | 100.00 | 750,000$/3yrs | |
0 | ![]() | LW | 6' 0" | 193 | 29 | 69 | 40 | 80 | 66 | 77 | 70 | 62 | 62 | 52 | 73 | 67 | 73 | 58 | 62 | 58 | 0 | 40 | 70 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 0" | 203 | 28 | 87 | 65 | 84 | 68 | 82 | 64 | 81 | 55 | 76 | 68 | 60 | 73 | 54 | 69 | 59 | 0 | 40 | 69 | 100.00 | 750,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 204 | 27 | 67 | 44 | 82 | 62 | 75 | 63 | 64 | 61 | 53 | 68 | 65 | 67 | 54 | 59 | 58 | 0 | 40 | 67 | 100.00 | 746,875$/3yrs | |
0 | ![]() | RW | 6' 2" | 190 | 23 | 63 | 47 | 80 | 61 | 68 | 60 | 60 | 58 | 54 | 64 | 60 | 65 | 54 | 57 | 57 | 0 | 40 | 64 | 100.00 | 1,319,167$/1yrs | |
0 | ![]() | C | 6' 5" | 201 | 25 | 55 | 57 | 65 | 60 | 68 | 68 | 66 | 59 | 70 | 58 | 58 | 63 | 54 | 62 | 57 | 0 | 40 | 62 | 100.00 | 800,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 197 | 28 | 58 | 56 | 68 | 61 | 66 | 64 | 62 | 56 | 54 | 58 | 58 | 62 | 54 | 64 | 59 | 0 | 40 | 62 | 100.00 | 737,500$/3yrs | |
0 | ![]() | RW | 6' 0" | 192 | 31 | 56 | 57 | 63 | 62 | 64 | 66 | 65 | 59 | 70 | 56 | 61 | 59 | 54 | 73 | 63 | 0 | 40 | 62 | 100.00 | 1,350,000$/2yrs | |
0 | ![]() | C | 6' 2" | 201 | 29 | 55 | 58 | 67 | 61 | 67 | 64 | 62 | 59 | 69 | 57 | 60 | 62 | 54 | 67 | 60 | 0 | 40 | 62 | 100.00 | 700,000$/2yrs | |
0 | ![]() | C/LW | 5' 9" | 172 | 30 | 55 | 60 | 66 | 60 | 56 | 67 | 65 | 60 | 55 | 58 | 60 | 61 | 54 | 71 | 62 | 0 | 40 | 62 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 0" | 186 | 28 | 57 | 51 | 70 | 63 | 65 | 62 | 62 | 58 | 62 | 61 | 59 | 62 | 54 | 63 | 59 | 0 | 40 | 62 | 100.00 | 750,000$/3yrs | |
0 | ![]() | D | 6' 2" | 195 | 26 | 74 | 40 | 71 | 81 | 75 | 96 | 85 | 69 | 40 | 78 | 65 | 78 | 54 | 67 | 66 | 0 | 40 | 77 | 100.00 | 1,223,333$/1yrs | |
0 | ![]() | D | 6' 6" | 218 | 26 | 75 | 66 | 83 | 70 | 81 | 81 | 90 | 59 | 40 | 73 | 59 | 96 | 54 | 70 | 66 | 0 | 40 | 76 | 100.00 | 2,850,000$/2yrs | |
0 | ![]() | D | 6' 4" | 207 | 31 | 76 | 40 | 88 | 76 | 79 | 85 | 93 | 61 | 40 | 77 | 58 | 86 | 54 | 72 | 68 | 0 | 40 | 76 | 100.00 | 4,100,000$/1yrs | |
0 | ![]() | D | 6' 2" | 215 | 27 | 64 | 65 | 76 | 85 | 86 | 83 | 78 | 61 | 40 | 72 | 65 | 92 | 54 | 59 | 58 | 0 | 40 | 76 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 5' 11" | 180 | 27 | 65 | 66 | 83 | 87 | 71 | 88 | 82 | 68 | 40 | 79 | 65 | 73 | 58 | 65 | 59 | 0 | 40 | 76 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 3" | 206 | 28 | 73 | 64 | 84 | 75 | 79 | 88 | 91 | 63 | 40 | 77 | 60 | 83 | 54 | 72 | 59 | 0 | 40 | 75 | 100.00 | 4,025,000$/1yrs | |
0 | ![]() | D | 6' 2" | 196 | 29 | 70 | 40 | 79 | 74 | 76 | 90 | 84 | 60 | 40 | 73 | 60 | 88 | 54 | 78 | 60 | 0 | 40 | 75 | 100.00 | 5,541,667$/3yrs | |
0 | ![]() | D | 6' 1" | 215 | 23 | 88 | 64 | 79 | 71 | 87 | 82 | 93 | 61 | 40 | 76 | 59 | 83 | 54 | 61 | 58 | 0 | 40 | 75 | 100.00 | 1,177,500$/2yrs | |
0 | ![]() | D | 6' 4" | 209 | 27 | 79 | 66 | 76 | 66 | 80 | 77 | 88 | 56 | 40 | 69 | 58 | 87 | 54 | 60 | 58 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 2" | 204 | 30 | 65 | 41 | 85 | 68 | 78 | 73 | 64 | 58 | 40 | 70 | 60 | 80 | 54 | 63 | 59 | 0 | 40 | 70 | 100.00 | 1,633,333$/2yrs | |
0 | ![]() | D | 5' 11" | 175 | 22 | 63 | 44 | 80 | 67 | 66 | 76 | 68 | 61 | 40 | 72 | 58 | 77 | 54 | 56 | 57 | 0 | 40 | 69 | 100.00 | 1,308,333$/1yrs | |
0 | ![]() | D | 5' 11" | 190 | 31 | 67 | 68 | 82 | 61 | 77 | 63 | 66 | 54 | 40 | 70 | 55 | 84 | 54 | 59 | 58 | 0 | 40 | 68 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 5' 11" | 185 | 27 | 64 | 61 | 74 | 59 | 67 | 64 | 60 | 55 | 40 | 62 | 56 | 71 | 54 | 61 | 58 | 0 | 40 | 64 | 100.00 | 749,167$/1yrs | |
0 | ![]() | D | 6' 1" | 203 | 28 | 55 | 57 | 66 | 60 | 66 | 68 | 65 | 59 | 40 | 59 | 57 | 65 | 54 | 66 | 59 | 0 | 40 | 63 | 100.00 | 850,000$/1yrs | |
0 | ![]() | D | 6' 2" | 209 | 25 | 60 | 48 | 74 | 67 | 74 | 62 | 59 | 54 | 40 | 60 | 56 | 68 | 54 | 59 | 57 | 0 | 40 | 63 | 100.00 | 894,166$/1yrs | |
0 | ![]() | D | 6' 1" | 196 | 25 | 56 | 56 | 65 | 60 | 65 | 66 | 64 | 61 | 40 | 60 | 58 | 60 | 54 | 62 | 57 | 0 | 40 | 62 | 100.00 | 780,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 2" | 184 | 27 | 87 | 89 | 90 | 77 | 88 | 83 | 61 | 56 | 0 | 40 | 81 | 100.00 | 716,667$/1yrs | |||||||
0 | ![]() | 6' 2" | 210 | 29 | 62 | 90 | 91 | 75 | 85 | 83 | 76 | 62 | 0 | 40 | 79 | 100.00 | 6,400,000$/1yrs | |||||||
0 | ![]() | 6' 2" | 205 | 30 | 78 | 67 | 66 | 73 | 85 | 65 | 60 | 55 | 0 | 40 | 78 | 100.00 | 825,000$/3yrs | |||||||
0 | ![]() | 6' 5" | 220 | 27 | 61 | 61 | 61 | 61 | 66 | 62 | 65 | 58 | 0 | 40 | 62 | 100.00 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 84 | 87 | 90 | 82 | 85 | 79 | 62 | USA | 58 | 1 | 4,500,000$ |
General Manager | Roxanne Franche |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Wennberg ![]() | C | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Alexander Romanov ![]() | D | 23 | 1,177,500$ | 1,177,500$ | 1,177,500$ | ||||||
Alexander True ![]() | C | 25 | 800,000$ | 800,000$ | |||||||
Anthony Mantha ![]() | RW | 28 | 3,300,000$ | 3,300,000$ | |||||||
Anton Blidh ![]() | LW | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Brandon Carlo ![]() | D | 26 | 2,850,000$ | 2,850,000$ | 2,850,000$ | ||||||
Brandon Hagel ![]() | LW | 24 | 925,000$ | 925,000$ | |||||||
Brayden Schenn ![]() | C | 31 | 5,125,000$ | 5,125,000$ | |||||||
Brett Pesce ![]() | D | 28 | 4,025,000$ | 4,025,000$ | |||||||
Brian Dumoulin ![]() | D | 31 | 4,100,000$ | 4,100,000$ | |||||||
Brock Boeser ![]() | RW | 26 | 5,875,000$ | 5,875,000$ | |||||||
Cam York ![]() | D | 22 | 1,308,333$ | 1,308,333$ | |||||||
Casey Cizikas ![]() | C | 32 | 3,350,000$ | 3,350,000$ | |||||||
Chris Kreider ![]() | LW | 32 | 4,625,000$ | 4,625,000$ | |||||||
Chris Wagner ![]() | RW | 31 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Colton Sissons ![]() | C | 29 | 2,857,143$ | 2,857,143$ | |||||||
Curtis Lazar ![]() | C | 28 | 800,000$ | 800,000$ | |||||||
Dominic Toninato ![]() | C | 29 | 700,000$ | 700,000$ | 700,000$ | ||||||
Hudson Fasching ![]() | RW | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jack Quinn ![]() | RW | 21 | 1,744,167$ | 1,744,167$ | |||||||
Jaden Schwartz ![]() | C | 30 | 5,350,000$ | 5,350,000$ | |||||||
Jake Walman ![]() | D | 27 | 925,000$ | 925,000$ | |||||||
Jimmy Schuldt ![]() | D | 28 | 850,000$ | 850,000$ | |||||||
Joel Hanley ![]() | D | 31 | 700,000$ | 700,000$ | |||||||
John Gibson ![]() | D | 29 | 6,400,000$ | 6,400,000$ | |||||||
Jonas Brodin ![]() | D | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Jonas Johansson ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Kyle Rau ![]() | C/LW | 30 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Laurent Dauphin ![]() | C | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Lawson Crouse ![]() | LW | 25 | 1,533,333$ | 1,533,333$ | |||||||
Libor Hajek ![]() | D | 25 | 894,166$ | 894,166$ | |||||||
Mark Friedman ![]() | D | 27 | 749,167$ | 749,167$ | |||||||
Martin Kaut ![]() | RW | 23 | 1,319,167$ | 1,319,167$ | |||||||
Mathieu Joseph ![]() | RW | 26 | 910,833$ | 910,833$ | |||||||
Maxime Lajoie ![]() | D | 25 | 780,000$ | 780,000$ | |||||||
Michael Pezzetta ![]() | LW | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Nick Suzuki ![]() | C | 23 | 1,325,833$ | 1,325,833$ | |||||||
Niko Mikkola ![]() | D | 27 | 925,000$ | 925,000$ | |||||||
Patrice Bergeron ![]() | C | 37 | 6,875,000$ | 6,875,000$ | |||||||
Phillip Di Giuseppe ![]() | LW | 29 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Scott Harrington ![]() | D | 30 | 1,633,333$ | 1,633,333$ | 1,633,333$ | ||||||
Scott Wedgewood ![]() | C | 30 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Steven Stamkos ![]() | C | 33 | 8,500,000$ | 8,500,000$ | |||||||
T.J. Oshie ![]() | RW | 36 | 5,750,000$ | 5,750,000$ | |||||||
Teuvo Teravainen ![]() | LW | 28 | 5,400,000$ | 5,400,000$ | |||||||
Thomas Chabot ![]() | D | 26 | 1,223,333$ | 1,223,333$ | |||||||
Tony DeAngelo ![]() | D | 27 | 925,000$ | 925,000$ | |||||||
Travis Konecny ![]() | RW | 26 | 5,500,000$ | 5,500,000$ | |||||||
Vitek Vanecek ![]() | LW | 27 | 716,667$ | 716,667$ | |||||||
William Carrier ![]() | LW | 28 | 725,000$ | 725,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
119,322,975$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bell Center | |
City | Montréal | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
119,322,975$ | 118,799,017$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
GOALIE | ||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Brenden Brisson | |||||
Colby Ambrosio | |||||
Isaac Belliveau | |||||
John Peterka | |||||
Ozzy Wiesblatt | |||||
Ridly Greig | |||||
Taylor Makar | |||||
Tristan Broz | |||||
William Trudeau | |||||
Zachary Bolduc | |||||
Zack Ostapchuk |
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 |
---|---|---|---|---|---|
Brenden Brisson | |||||
Colby Ambrosio | |||||
Isaac Belliveau | |||||
John Peterka | |||||
Ozzy Wiesblatt | |||||
Ridly Greig | |||||
Taylor Makar | |||||
Tristan Broz | |||||
William Trudeau | |||||
Zachary Bolduc | |||||
Zack Ostapchuk |