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Montreal Canadiens 8-5-1, 17pts · 8th in Eastern Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 72 | 56 | 68 | 80 | 80 | 89 | 89 | 86 | 82 | 81 | 77 | 77 | 81 | 83 | 79 | 1 | 81 | 0 | 30 | 5,500,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 50 | 72 | 75 | 87 | 86 | 78 | 85 | 67 | 78 | 76 | 68 | 79 | 58 | 50 | 1 | 84 | 0 | 20 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 56 | 57 | 74 | 82 | 88 | 84 | 83 | 50 | 72 | 76 | 68 | 78 | 89 | 79 | 1 | 79 | 0 | 32 | 5,125,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 50 | 73 | 75 | 75 | 84 | 83 | 74 | 78 | 72 | 64 | 75 | 71 | 70 | 60 | 1 | 81 | 0 | 29 | 1,100,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 81 | 84 | 58 | 80 | 91 | 89 | 85 | 95 | 73 | 86 | 89 | 68 | 88 | 70 | 72 | 1 | 81 | 0 | 24 | 8,205,713$/6yrs | |||
![]() | 0 | RW | 100.00 | 74 | 83 | 61 | 71 | 79 | 82 | 92 | 79 | 40 | 73 | 72 | 64 | 74 | 93 | 83 | 1 | 81 | 0 | 38 | 1,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 50 | 76 | 88 | 79 | 92 | 90 | 95 | 69 | 94 | 92 | 73 | 92 | 85 | 81 | 1 | 77 | 0 | 28 | 12,600,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 45 | 85 | 73 | 78 | 84 | 87 | 75 | 69 | 79 | 62 | 67 | 70 | 83 | 73 | 1 | 81 | 0 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 55 | 72 | 85 | 77 | 87 | 91 | 88 | 40 | 82 | 83 | 76 | 85 | 86 | 82 | 1 | 81 | 0 | 34 | 4,000,000$/4yrs | |||
![]() | 0 | C | 99.00 | 73 | 50 | 74 | 95 | 80 | 91 | 88 | 98 | 78 | 98 | 98 | 85 | 97 | 80 | 82 | 1 | 81 | 0 | 26 | 12,300,000$/3yrs | |||
![]() | 0 | RW | 99.00 | 72 | 70 | 58 | 89 | 83 | 90 | 87 | 95 | 50 | 94 | 92 | 73 | 92 | 78 | 74 | 1 | 78 | 0 | 25 | 9,500,000$/7yrs | |||
![]() | 0 | C | 100.00 | 78 | 50 | 72 | 87 | 85 | 88 | 87 | 89 | 74 | 82 | 80 | 85 | 85 | 78 | 68 | 1 | 81 | 0 | 26 | 5,250,000$/6yrs | |||
![]() | 0 | D | 100.00 | 67 | 50 | 70 | 74 | 87 | 89 | 90 | 76 | 40 | 76 | 65 | 88 | 72 | 87 | 77 | 1 | 84 | 0 | 33 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 55 | 66 | 75 | 81 | 89 | 75 | 71 | 40 | 67 | 65 | 75 | 70 | 60 | 53 | 1 | 80 | 0 | 28 | 1,600,000$/4yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 75 | 74 | 75 | 83 | 71 | 66 | 40 | 62 | 60 | 66 | 67 | 75 | 65 | 1 | 82 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 50 | 65 | 70 | 85 | 83 | 90 | 70 | 40 | 64 | 62 | 71 | 67 | 90 | 80 | 1 | 72 | 0 | 33 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 45 | 92 | 87 | 84 | 91 | 75 | 83 | 40 | 79 | 66 | 89 | 79 | 55 | 50 | 1 | 82 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 50 | 73 | 87 | 87 | 92 | 78 | 85 | 40 | 82 | 67 | 94 | 80 | 58 | 50 | 1 | 82 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 82 | 74 | 82 | 83 | 75 | 68 | 40 | 63 | 62 | 70 | 68 | 70 | 60 | 1 | 83 | 0 | 26 | 1,137,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 72 | 54 | 71 | 80 | 82 | 87 | 84 | 82 | 55 | 78 | 74 | 75 | 79 | 76 | 69 | 1 | 81 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 81 | 79 | 79 | 90 | 82 | 81 | 76 | 80 | 80 | 81 | 81 | 60 | 53 | 1 | 82 | 0 | 26 | 2,200,000$/2yrs |
![]() | 0 | 100.00 | 85 | 85 | 86 | 87 | 90 | 88 | 87 | 88 | 87 | 87 | 82 | 60 | 53 | 1 | 78 | 0 | 26 | 766,667$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 83 | 82 | 83 | 89 | 86 | 85 | 82 | 84 | 84 | 84 | 82 | 60 | 53 | 1 | 80 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 73 | 71 | 72 | 70 | 82 | 77 | 69 | CAN | 57 | 2 | 1,000,000$ |
General Manager | Pascal Lyrette |
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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 | Brady Tkachuk | 0 | LW | 14 | 5 | 10 | 15 | 2 | 26 | 20 | 31 | 33 | 13 | 16 | 15.15% | 5 | 16.84 | 2 | 0 | 2 | 20 | 0 | 0 | 0 | 7 | 0 | 0 | 50.00% | 12 | 6 | 5 | 0 | 0 | 1.27 | 0 | 0 | ||
2 | Nathan MacKinnon | 0 | C | 16 | 3 | 12 | 15 | -7 | 23 | 15 | 30 | 53 | 12 | 32 | 5.66% | 5 | 17.89 | 0 | 4 | 4 | 27 | 0 | 0 | 0 | 5 | 0 | 1 | 52.81% | 320 | 9 | 3 | 0 | 0 | 1.05 | 0 | 1 | ||
3 | Connor McDavid | 0 | C | 14 | 3 | 11 | 14 | 2 | 17 | 5 | 19 | 51 | 15 | 28 | 5.88% | 5 | 20.31 | 2 | 1 | 3 | 27 | 0 | 0 | 0 | 4 | 0 | 0 | 54.14% | 423 | 9 | 10 | 0 | 0 | 0.98 | 1 | 2 | ||
4 | Alex Killorn | 0 | LW/RW | 14 | 7 | 6 | 13 | 2 | 4 | 0 | 27 | 38 | 15 | 15 | 18.42% | 2 | 17.17 | 0 | 1 | 1 | 21 | 0 | 0 | 0 | 9 | 1 | 0 | 33.33% | 12 | 6 | 8 | 0 | 0 | 1.08 | 0 | 0 | ||
5 | Matthew Tkachuk | 0 | RW | 14 | 7 | 5 | 12 | 2 | 25 | 15 | 32 | 44 | 13 | 28 | 15.91% | 10 | 19.88 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 2 | 2 | 1 | 41.18% | 17 | 13 | 5 | 0 | 0 | 0.86 | 0 | 1 | ||
6 | Joel Eriksson Ek | 0 | C | 14 | 5 | 7 | 12 | 4 | 14 | 10 | 28 | 28 | 7 | 16 | 17.86% | 9 | 16.26 | 0 | 2 | 2 | 21 | 0 | 0 | 0 | 0 | 3 | 0 | 46.01% | 163 | 4 | 5 | 0 | 0 | 1.05 | 0 | 0 | ||
7 | David Savard | 0 | D | 14 | 2 | 8 | 10 | 8 | 9 | 5 | 14 | 9 | 3 | 6 | 22.22% | 13 | 20.64 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 5 | 11 | 0 | 0 | 0.69 | 0 | 0 | ||
8 | Phillip Danault | 0 | C | 14 | 3 | 5 | 8 | 1 | 5 | 5 | 21 | 39 | 8 | 32 | 7.69% | 4 | 14.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 1 | 0 | 57.53% | 146 | 8 | 6 | 0 | 0 | 0.79 | 0 | 0 | ||
9 | Jake Sanderson | 0 | D | 14 | 1 | 7 | 8 | -1 | 0 | 0 | 11 | 20 | 9 | 6 | 5.00% | 20 | 24.62 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 5 | 9 | 0 | 0 | 0.46 | 0 | 0 | ||
10 | Evander Kane | 0 | LW/RW | 14 | 2 | 3 | 5 | -9 | 26 | 0 | 26 | 34 | 11 | 19 | 5.88% | 5 | 14.52 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 58.33% | 12 | 4 | 4 | 0 | 0 | 0.49 | 0 | 0 | ||
11 | Moritz Seider | 0 | D | 14 | 1 | 4 | 5 | 5 | 10 | 0 | 28 | 30 | 5 | 11 | 3.33% | 21 | 26.54 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 2 | 11 | 0 | 0 | 0.27 | 0 | 0 | ||
12 | Teddy Blueger | 0 | C/LW | 14 | 1 | 2 | 3 | -1 | 0 | 0 | 14 | 9 | 2 | 8 | 11.11% | 3 | 8.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 75.00% | 8 | 2 | 2 | 0 | 0 | 0.48 | 0 | 0 | ||
13 | Corey Perry | 0 | RW | 14 | 1 | 1 | 2 | 2 | 33 | 15 | 16 | 15 | 7 | 5 | 6.67% | 5 | 12.18 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 9 | 1 | 2 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | Jonathan Drouin | 0 | C/LW | 14 | 1 | 1 | 2 | -3 | 0 | 0 | 10 | 11 | 3 | 10 | 9.09% | 1 | 7.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 1 | 3 | 0 | 0 | 0.38 | 0 | 0 | ||
15 | Mason McTavish | 0 | C/LW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 9 | 1 | 1 | 0.00% | 0 | 11.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
16 | Artem Zub | 0 | D | 14 | 0 | 0 | 0 | 3 | 11 | 5 | 16 | 11 | 2 | 2 | 0.00% | 14 | 18.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 1 | 7 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Victor Mete | 0 | D | 14 | 0 | 0 | 0 | -4 | 0 | 0 | 14 | 5 | 3 | 2 | 0.00% | 14 | 15.10 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Zach Bogosian | 0 | D | 11 | 0 | 0 | 0 | -2 | 2 | 0 | 5 | 0 | 0 | 0 | 0.00% | 4 | 7.22 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Jakub Zboril | 0 | D | 9 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 4 | 1 | 1 | 0.00% | 8 | 15.56 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 248 | 42 | 83 | 125 | 4 | 205 | 95 | 349 | 443 | 130 | 238 | 9.48% | 148 | 16.43 | 4 | 9 | 13 | 252 | 0 | 0 | 0 | 208 | 7 | 2 | 52.57% | 1128 | 79 | 106 | 0 | 0 | 0.61 | 1 | 4 |
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 | Logan Thompson | 13 | 7 | 4 | 1 | 0.905 | 2.88 | 750 | 0 | 0 | 36 | 378 | 161 | 1 | 0 | 0.833 | 6 | 13 | 1 | 1 | 1 | 0 | |
2 | Dan Vladar | 2 | 1 | 1 | 0 | 0.887 | 3.60 | 100 | 0 | 0 | 6 | 53 | 24 | 0 | 1 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 | |
Team Total or Average | 15 | 8 | 5 | 1 | 0.903 | 2.97 | 850 | 0 | 0 | 42 | 431 | 185 | 1 | 1 | 0.833 | 6 | 14 | 14 | 1 | 1 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 5 | 3 | 4 | 0 | 99 | 29 | 36 | 34 | 0 | 88 | 35 | 11 | 74 | 10 | 1 | 10.00% | 3 | 1 | 66.67% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 69 | 41 | 59 | 25 | 50 | 26 | 61.1% | 12.1% | 90.9% | 103.0 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 16 | 12 | 4 | 0 | 26 | 11 | 32 | 23 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 23 | 14 | 20 | 8 | 16 | 8 | 66.7% | 6.3% | 96.2% | 102.4 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 6 | 12 | 9 | 0 | 30 | 15 | 21 | 18 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 19 | 10 | 23 | 8 | 17 | 8 | 66.7% | 14.8% | 93.3% | 108.1 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 1 | 1 | 64 | 25 | 13 | 24 | 2 | 66 | 20 | 32 | 53 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 47 | 28 | 41 | 18 | 34 | 18 | 60.0% | 10.9% | 93.9% | 104.9 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 38 | 13 | 10 | 15 | 0 | 25 | 9 | 7 | 16 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 26 | 18 | 19 | 7 | 14 | 7 | 66.7% | 10.5% | 88.0% | 98.5 | FUN | |
6 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 10 | 17 | -7 | 1 | 0.125 | 10 | 16 | 26 | 0 | 0 | 4 | 2 | 4 | 0 | 128 | 34 | 43 | 49 | 5 | 129 | 39 | 48 | 107 | 10 | 2 | 20.00% | 9 | 1 | 88.89% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 92 | 57 | 89 | 33 | 63 | 31 | 33.3% | 7.8% | 86.8% | 94.6 | Unlucky | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 11 | 19 | 1 | 0 | 1 | 4 | 2 | 1 | 65 | 25 | 18 | 16 | 8 | 68 | 21 | 28 | 60 | 1 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 42 | 25 | 47 | 17 | 34 | 15 | 53.3% | 12.3% | 86.8% | 99.1 | FUN | |
_Vs Division | 12 | 4 | 5 | 0 | 1 | 0 | 1 | 1 | 39 | 39 | 0 | 13 | 0.542 | 39 | 65 | 104 | 1 | 0 | 13 | 13 | 11 | 2 | 388 | 129 | 122 | 127 | 15 | 377 | 126 | 151 | 317 | 29 | 4 | 13.79% | 28 | 4 | 85.71% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 275 | 167 | 259 | 104 | 199 | 100 | 50.0% | 10.1% | 89.7% | 99.7 | FUN | |
_Vs Conference | 13 | 5 | 5 | 0 | 1 | 0 | 1 | 1 | 43 | 41 | 2 | 15 | 0.577 | 43 | 71 | 114 | 1 | 0 | 14 | 14 | 13 | 2 | 415 | 135 | 134 | 136 | 15 | 407 | 141 | 172 | 335 | 29 | 4 | 13.79% | 32 | 4 | 87.50% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 294 | 178 | 282 | 112 | 216 | 109 | 51.3% | 10.4% | 89.9% | 100.3 | FUN | |
_Since Last GM Reset | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 47 | 44 | 3 | 17 | 0.607 | 47 | 79 | 126 | 1 | 0 | 14 | 16 | 15 | 2 | 453 | 148 | 144 | 151 | 15 | 432 | 150 | 179 | 351 | 29 | 4 | 13.79% | 33 | 5 | 84.85% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 320 | 196 | 301 | 120 | 230 | 116 | 52.4% | 10.4% | 89.8% | 100.2 | FUN | |
Total | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 47 | 44 | 3 | 17 | 0.607 | 47 | 79 | 126 | 1 | 0 | 14 | 16 | 15 | 2 | 453 | 148 | 144 | 151 | 15 | 432 | 150 | 179 | 351 | 29 | 4 | 13.79% | 33 | 5 | 84.85% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 320 | 196 | 301 | 120 | 230 | 116 | 52.4% | 10.4% | 89.8% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 307 |
Neutral Zone Start | 216 |
Defensive Zone Start | 325 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 454 |
Faceoffs Lost | 394 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 42 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 4 |
Lost | 3 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 29 |
---|---|
PP Goal | 4 |
PK Attempt | 33 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 30.9 |
Goals For | 3.4 |
Goals Against | 3.1 |
Hits | 25.1 |
Shots Blocked | 10.7 |
Pim | 12.8 |
Projected Total Cap Hit | 77,523,214$ |
Projected Cap Space | 7,476,786$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 13,944,984$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Canadiens Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Killorn | LW/RW | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Artem Zub ![]() | D | 28 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||
Brady Tkachuk ![]() | LW | 24 | 8,205,713$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | ||
Connor McDavid | C | 26 | 12,300,000$ | 12,300,000$ | 12,300,000$ | 12,300,000$ | |||||
Corey Perry | RW | 38 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Dan Vladar ![]() | G | 26 | 2,200,000$ | 2,200,000$ | 2,200,000$ | RFA | |||||
David Savard | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Evander Kane | LW/RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | ||||
Jake Sanderson ![]() | D | 21 | 925,000$ | 925,000$ | |||||||
Jakub Zboril ![]() | D | 26 | 1,137,500$ | 1,137,500$ | RFA | ||||||
Joel Eriksson Ek ![]() | C | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |
Jonathan Drouin | C/LW | 28 | 1,500,000$ | 1,500,000$ | |||||||
Logan Thompson ![]() | G | 26 | 766,667$ | 766,667$ | 766,667$ | ||||||
Mason McTavish ![]() | C/LW | 20 | 750,000$ | 750,000$ | |||||||
Matthew Tkachuk | RW | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Moritz Seider ![]() | D | 22 | 863,333$ | 863,333$ | RFA | ||||||
Nathan MacKinnon | C | 28 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ |
Phillip Danault | C | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Teddy Blueger ![]() | C/LW | 29 | 1,100,000$ | 1,100,000$ | |||||||
Victor Mete ![]() | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Zach Bogosian ![]() | D | 33 | 850,000$ | 850,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antoine Morand ![]() | C | 24 | 775,000$ | 925,000$ | RFA | ||||||
Anton Lundell ![]() | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Curtis Lazar ![]() | C/RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Dennis Cholowski ![]() | D | 25 | 762,500$ | 762,500$ | RFA | ||||||
Mitchell Stephens ![]() | C | 26 | 825,000$ | 875,000$ | RFA | ||||||
Shane Bowers ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Ty Smith ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Ville Heinola ![]() | D | 22 | 863,333$ | 863,333$ | RFA |
Forward Lines | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 5 | 3 | 4 | 0 | 99 | 29 | 36 | 34 | 0 | 88 | 35 | 11 | 74 | 10 | 1 | 10.00% | 3 | 1 | 66.67% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 69 | 41 | 59 | 25 | 50 | 26 | 61.1% | 12.1% | 90.9% | 103.0 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 16 | 12 | 4 | 0 | 26 | 11 | 32 | 23 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 23 | 14 | 20 | 8 | 16 | 8 | 66.7% | 6.3% | 96.2% | 102.4 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 6 | 12 | 9 | 0 | 30 | 15 | 21 | 18 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 19 | 10 | 23 | 8 | 17 | 8 | 66.7% | 14.8% | 93.3% | 108.1 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 1 | 1 | 64 | 25 | 13 | 24 | 2 | 66 | 20 | 32 | 53 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 47 | 28 | 41 | 18 | 34 | 18 | 60.0% | 10.9% | 93.9% | 104.9 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 38 | 13 | 10 | 15 | 0 | 25 | 9 | 7 | 16 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 26 | 18 | 19 | 7 | 14 | 7 | 66.7% | 10.5% | 88.0% | 98.5 | FUN | |
6 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 10 | 17 | -7 | 1 | 0.125 | 10 | 16 | 26 | 0 | 0 | 4 | 2 | 4 | 0 | 128 | 34 | 43 | 49 | 5 | 129 | 39 | 48 | 107 | 10 | 2 | 20.00% | 9 | 1 | 88.89% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 92 | 57 | 89 | 33 | 63 | 31 | 33.3% | 7.8% | 86.8% | 94.6 | Unlucky | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 11 | 19 | 1 | 0 | 1 | 4 | 2 | 1 | 65 | 25 | 18 | 16 | 8 | 68 | 21 | 28 | 60 | 1 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 42 | 25 | 47 | 17 | 34 | 15 | 53.3% | 12.3% | 86.8% | 99.1 | FUN | |
_Vs Division | 12 | 4 | 5 | 0 | 1 | 0 | 1 | 1 | 39 | 39 | 0 | 13 | 0.542 | 39 | 65 | 104 | 1 | 0 | 13 | 13 | 11 | 2 | 388 | 129 | 122 | 127 | 15 | 377 | 126 | 151 | 317 | 29 | 4 | 13.79% | 28 | 4 | 85.71% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 275 | 167 | 259 | 104 | 199 | 100 | 50.0% | 10.1% | 89.7% | 99.7 | FUN | |
_Vs Conference | 13 | 5 | 5 | 0 | 1 | 0 | 1 | 1 | 43 | 41 | 2 | 15 | 0.577 | 43 | 71 | 114 | 1 | 0 | 14 | 14 | 13 | 2 | 415 | 135 | 134 | 136 | 15 | 407 | 141 | 172 | 335 | 29 | 4 | 13.79% | 32 | 4 | 87.50% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 294 | 178 | 282 | 112 | 216 | 109 | 51.3% | 10.4% | 89.9% | 100.3 | FUN | |
_Since Last GM Reset | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 47 | 44 | 3 | 17 | 0.607 | 47 | 79 | 126 | 1 | 0 | 14 | 16 | 15 | 2 | 453 | 148 | 144 | 151 | 15 | 432 | 150 | 179 | 351 | 29 | 4 | 13.79% | 33 | 5 | 84.85% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 320 | 196 | 301 | 120 | 230 | 116 | 52.4% | 10.4% | 89.8% | 100.2 | FUN | |
Total | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 47 | 44 | 3 | 17 | 0.607 | 47 | 79 | 126 | 1 | 0 | 14 | 16 | 15 | 2 | 453 | 148 | 144 | 151 | 15 | 432 | 150 | 179 | 351 | 29 | 4 | 13.79% | 33 | 5 | 84.85% | 0 | 167 | 307 | 54.40% | 172 | 325 | 52.92% | 115 | 216 | 53.24% | 320 | 196 | 301 | 120 | 230 | 116 | 52.4% | 10.4% | 89.8% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 307 |
Neutral Zone Start | 216 |
Defensive Zone Start | 325 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 454 |
Faceoffs Lost | 394 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 42 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 4 |
Lost | 3 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 29 |
---|---|
PP Goal | 4 |
PK Attempt | 33 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 30.9 |
Goals For | 3.4 |
Goals Against | 3.1 |
Hits | 25.1 |
Shots Blocked | 10.7 |
Pim | 12.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-10 | VS | OTT4,MTL3 | RECAP | |||||||||||
2023-10-12 | VS | MTL2,OTT3 | RECAP | |||||||||||
2023-10-14 | VS | MTL4,OTT5 (SO) | RECAP | |||||||||||
2023-10-16 | VS | CBJ2,MTL4 | RECAP | |||||||||||
2023-10-18 | VS | MTL4,FLA2 | RECAP | |||||||||||
2023-10-21 | VS | MTL5,TOR4 | RECAP | |||||||||||
2023-10-24 | VS | TOR1,MTL5 | RECAP | |||||||||||
2023-10-26 | VS | MTL5,TBL7 | RECAP | |||||||||||
2023-10-29 | VS | MTL2,Buf1 | RECAP | |||||||||||
2023-10-30 | VS | TBL2,MTL3 (SO) | RECAP | |||||||||||
2023-11-06 | VS | OTT5,MTL1 | RECAP | |||||||||||
2023-11-11 | VS | FLA2,MTL3 (OT) | RECAP | |||||||||||
2023-11-14 | VS | TOR3,MTL2 | RECAP | |||||||||||
2023-11-21 | VS | MTL4,ARI3 | RECAP | |||||||||||
2023-11-22 | VS | |||||||||||||
2023-11-25 | VS | |||||||||||||
2023-11-27 | VS | |||||||||||||
2023-12-02 | VS | |||||||||||||
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2023-12-23 | VS | |||||||||||||
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2024-01-07 | VS | |||||||||||||
2024-01-09 | VS | |||||||||||||
2024-01-10 | VS | |||||||||||||
2024-01-13 | VS | |||||||||||||
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2024-01-19 | VS | |||||||||||||
2024-01-21 | VS | |||||||||||||
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2024-01-26 | VS | |||||||||||||
2024-01-29 | VS | |||||||||||||
2024-01-31 | VS | |||||||||||||
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2024-02-06 | VS | |||||||||||||
2024-02-08 | VS | |||||||||||||
2024-02-10 | VS | |||||||||||||
2024-02-16 | VS | |||||||||||||
2024-02-18 | VS | |||||||||||||
2024-02-20 | VS | |||||||||||||
2024-02-22 | VS | |||||||||||||
2024-02-24 | VS | |||||||||||||
2024-02-29 | VS | |||||||||||||
2024-03-02 | VS | |||||||||||||
2024-03-04 | VS | |||||||||||||
2024-03-06 | VS | |||||||||||||
2024-03-08 | VS | |||||||||||||
2024-03-11 | VS | |||||||||||||
2024-03-15 | VS | |||||||||||||
2024-03-17 | VS | |||||||||||||
2024-03-21 | VS | |||||||||||||
2024-03-26 | VS | |||||||||||||
2024-03-28 | VS | |||||||||||||
2024-03-30 | VS | |||||||||||||
2024-04-01 | VS | |||||||||||||
2024-04-03 | VS | |||||||||||||
2024-04-05 | VS | |||||||||||||
2024-04-07 | VS | |||||||||||||
2024-04-10 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-15 | VS | |||||||||||||
2024-04-18 | VS | |||||||||||||
2024-04-20 | VS | |||||||||||||
2024-04-22 | VS | |||||||||||||
2024-04-25 | VS | |||||||||||||
2024-05-01 | VS | |||||||||||||
2024-05-04 | VS | |||||||||||||
2024-05-07 | VS | |||||||||||||
2024-05-09 | VS | |||||||||||||
2024-05-12 | VS | |||||||||||||
2024-05-13 | VS | |||||||||||||
2024-05-16 | VS | |||||||||||||
2024-05-21 | VS | |||||||||||||
2024-05-28 | VS | |||||||||||||
2024-05-29 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,523,214$ | 0$ | 77,523,214$ | 7,476,786$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Centre Bell | |
City | Montreal | ||
Capacity | 18545 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2545 | 4000 | 1000 |
Ticket Price | 138$ | 117$ | 88$ | 51$ | 236$ |
Attendance | 33691 | 28007 | 14252 | 23026 | 5873 |
Attendance PCT | 80.22% | 80.02% | 80.00% | 82.24% | 83.90% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 14978 - 80.77% | 2,096,555$ | 14,675,883$ | 18545 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,523,214$ | 77,523,213$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
14,142,063$ | 77,523,214$ | 13,944,984$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
71,282,860$ | 195 | 325,822$ | 63,535,290$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
64,898,547$ | 77,523,214$ | 129,330,117$ | 141,661,409$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
---|---|---|---|---|---|
Colton Dach | 2021 | 44 | |||
Jack Drury | |||||
Jan Bednar | |||||
Jonathan Lekkerimaki | |||||
Nico Daws | |||||
Shane Wright | |||||
Simon Edvinsson | 2021 | 7 | |||
Tyler Madden |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
---|---|---|---|---|---|
Colton Dach | 2021 | 44 | |||
Jack Drury | |||||
Jan Bednar | |||||
Jonathan Lekkerimaki | |||||
Nico Daws | |||||
Shane Wright | |||||
Simon Edvinsson | 2021 | 7 | |||
Tyler Madden |
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