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Full Scoreboard » |
Montreal Canadiens 32-29-5, 69pts · 9th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 19 | C/LW | 100.00 | 63 | 35 | 95 | 72 | 75 | 86 | 87 | 69 | 57 | 71 | 67 | 81 | 68 | 75 | 77 | 34 | 75 | 0 | 31 | 4,150,000$/1yrs | |||
![]() | 28 | LW | 100.00 | 81 | 37 | 85 | 68 | 84 | 79 | 77 | 66 | 56 | 62 | 71 | 64 | 67 | 73 | 74 | 55 | 75 | 0 | 30 | 2,100,000$/6yrs | |||
![]() | 25 | C | 100.00 | 69 | 36 | 95 | 73 | 81 | 83 | 84 | 66 | 78 | 67 | 64 | 93 | 65 | 66 | 69 | 78 | 75 | 0 | 26 | 1,900,000$/2yrs | |||
![]() | 8 | LW/RW | 100.00 | 68 | 65 | 71 | 74 | 73 | 86 | 90 | 75 | 56 | 76 | 73 | 64 | 72 | 70 | 73 | 48 | 75 | 0 | 29 | 5,000,000$/2yrs | |||
![]() | 20 | LW | 100.00 | 75 | 49 | 77 | 71 | 89 | 87 | 83 | 73 | 59 | 72 | 69 | 65 | 71 | 62 | 70 | 94 | 75 | 0 | 20 | 950,000$/1yrs | |||
![]() | 37 | C/LW | 100.00 | 62 | 35 | 90 | 77 | 76 | 87 | 90 | 75 | 78 | 80 | 69 | 67 | 79 | 68 | 70 | 83 | 75 | 0 | 26 | 5,750,000$/3yrs | |||
![]() | 71 | C | 100.00 | 73 | 41 | 72 | 69 | 71 | 86 | 84 | 68 | 75 | 67 | 66 | 71 | 69 | 62 | 66 | 80 | 75 | 0 | 22 | 863,333$/1yrs | |||
![]() | 62 | LW/RW | 100.00 | 76 | 37 | 89 | 73 | 84 | 86 | 89 | 71 | 59 | 68 | 74 | 65 | 76 | 83 | 75 | 54 | 75 | 0 | 32 | 5,450,000$/2yrs | |||
![]() | 91 | C | 100.00 | 60 | 36 | 91 | 71 | 82 | 89 | 69 | 73 | 72 | 70 | 67 | 66 | 74 | 59 | 66 | 93 | 75 | 0 | 20 | 950,000$/2yrs | |||
![]() | 9 | C/LW/RW | 100.00 | 82 | 71 | 68 | 77 | 76 | 87 | 85 | 75 | 78 | 74 | 74 | 71 | 73 | 75 | 72 | 69 | 75 | 0 | 28 | 5,000,000$/1yrs | |||
![]() | 82 | C/LW/RW | 100.00 | 81 | 73 | 76 | 66 | 88 | 83 | 87 | 64 | 62 | 63 | 63 | 66 | 63 | 71 | 70 | 55 | 75 | 0 | 30 | 2,250,000$/1yrs | |||
![]() | 15 | C/LW/RW | 100.00 | 67 | 34 | 89 | 74 | 70 | 87 | 90 | 69 | 77 | 73 | 64 | 86 | 68 | 74 | 72 | 39 | 75 | 0 | 30 | 3,750,000$/1yrs | |||
![]() | 27 | D | 100.00 | 62 | 34 | 95 | 73 | 72 | 89 | 75 | 71 | 30 | 78 | 63 | 64 | 55 | 66 | 69 | 85 | 75 | 0 | 24 | 2,600,000$/1yrs | |||
![]() | 4 | D | 100.00 | 73 | 42 | 74 | 76 | 75 | 91 | 81 | 75 | 30 | 76 | 74 | 73 | 59 | 63 | 64 | 88 | 75 | 0 | 23 | 3,850,000$/1yrs | |||
![]() | 72 | D | 100.00 | 73 | 38 | 84 | 72 | 77 | 93 | 87 | 73 | 30 | 82 | 66 | 83 | 55 | 84 | 74 | 47 | 75 | 0 | 32 | 6,500,000$/3yrs | |||
![]() | 44 | D | 100.00 | 75 | 35 | 88 | 63 | 76 | 86 | 81 | 59 | 30 | 70 | 58 | 74 | 50 | 79 | 73 | 50 | 75 | 0 | 33 | 1,000,000$/1yrs | |||
![]() | 3 | D | 100.00 | 75 | 36 | 88 | 68 | 82 | 92 | 90 | 66 | 30 | 74 | 65 | 89 | 54 | 71 | 73 | 40 | 75 | 0 | 30 | 5,750,000$/7yrs | |||
![]() | 81 | D | 100.00 | 86 | 72 | 74 | 65 | 89 | 90 | 86 | 63 | 30 | 72 | 55 | 90 | 48 | 69 | 71 | 63 | 75 | 0 | 27 | 5,250,000$/7yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 74 | LW | 100.00 | 73 | 42 | 76 | 68 | 82 | 81 | 79 | 64 | 65 | 61 | 67 | 63 | 66 | 68 | 70 | 36 | 75 | 0 | 28 | 1,350,000$/2yrs | |||
![]() | 13 | RW | 100.00 | 78 | 43 | 87 | 67 | 87 | 82 | 80 | 65 | 64 | 62 | 61 | 63 | 66 | 68 | 69 | 85 | 75 | 0 | 26 | 4,500,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 73 | 45 | 83 | 71 | 79 | 87 | 84 | 69 | 56 | 71 | 67 | 73 | 65 | 70 | 71 | 64 | 75 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 100.00 | 93 | 87 | 81 | 86 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 86 | 91 | 48 | 75 | 0 | 37 | 2,650,000$/2yrs |
![]() | 29 | 100.00 | 88 | 83 | 78 | 91 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 70 | 81 | 62 | 75 | 0 | 28 | 2,350,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 31 | 0.00 | 82 | 61 | 71 | 87 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 90 | 89 | 50 | 75 | 0 | 37 | 10,500,000$/2yrs |
TEAM AVERAGE | 66.67 | 88 | 77 | 77 | 88 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 82 | 87 | 53 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St. Louis | 85 | 79 | 83 | 81 | 73 | 68 | 77 | CAN | 49 | 1 | 3,000,000$ |
General Manager | Gabriel Dumont |
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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 | Casey Mittelstadt | 37 | C/LW | 66 | 27 | 25 | 52 | -6 | 18 | 0 | 45 | 159 | 38 | 138 | 16.98% | 9 | 19.20 | 7 | 12 | 19 | 226 | 0 | 0 | 0 | 67 | 5 | 1 | 49.41% | 423 | 0 | 0 | 0 | 0 | 0.82 | 0 | 2 | ||
2 | Sam Bennett | 9 | C/LW/RW | 66 | 27 | 22 | 49 | -15 | 70 | 0 | 178 | 203 | 54 | 127 | 13.30% | 4 | 18.68 | 3 | 10 | 13 | 216 | 0 | 0 | 0 | 48 | 4 | 1 | 52.58% | 814 | 0 | 0 | 0 | 1 | 0.79 | 1 | 5 | ||
3 | Justin Faulk | 72 | D | 66 | 6 | 40 | 46 | -10 | 55 | 5 | 51 | 111 | 39 | 62 | 5.41% | 92 | 21.98 | 6 | 14 | 20 | 195 | 0 | 0 | 0 | 224 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
4 | Bowen Byram | 4 | D | 66 | 12 | 33 | 45 | -12 | 56 | 0 | 104 | 161 | 44 | 103 | 7.45% | 51 | 21.66 | 7 | 10 | 17 | 219 | 0 | 0 | 0 | 88 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
5 | Michael Bunting | 8 | LW/RW | 66 | 20 | 24 | 44 | -17 | 30 | 0 | 62 | 170 | 51 | 128 | 11.76% | 11 | 17.81 | 7 | 8 | 15 | 214 | 0 | 0 | 0 | 11 | 2 | 2 | 35.82% | 67 | 0 | 0 | 0 | 0 | 0.75 | 1 | 3 | ||
6 | Alex Iafallo | 19 | C/LW | 66 | 20 | 21 | 41 | -3 | 6 | 0 | 26 | 177 | 58 | 141 | 11.30% | 22 | 18.00 | 3 | 9 | 12 | 194 | 1 | 0 | 1 | 150 | 6 | 0 | 42.80% | 799 | 0 | 0 | 1 | 0 | 0.69 | 0 | 0 | ||
7 | Matt Roy | 3 | D | 66 | 5 | 36 | 41 | -1 | 50 | 0 | 70 | 74 | 29 | 40 | 6.76% | 106 | 20.04 | 1 | 5 | 6 | 72 | 0 | 2 | 2 | 224 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
8 | Leo Carlsson | 91 | C | 63 | 17 | 21 | 38 | 2 | 8 | 0 | 19 | 109 | 53 | 98 | 15.60% | 5 | 15.88 | 5 | 8 | 13 | 186 | 0 | 0 | 0 | 5 | 4 | 0 | 45.08% | 1311 | 0 | 0 | 0 | 1 | 0.76 | 0 | 0 | ||
9 | Alex Kerfoot | 15 | C/LW/RW | 63 | 17 | 21 | 38 | 8 | 6 | 0 | 27 | 154 | 41 | 110 | 11.04% | 23 | 17.09 | 1 | 4 | 5 | 84 | 2 | 0 | 2 | 264 | 1 | 3 | 47.03% | 370 | 0 | 0 | 1 | 0 | 0.71 | 0 | 2 | ||
10 | Juraj Slafkovsky | 20 | LW | 66 | 11 | 26 | 37 | -3 | 38 | 0 | 108 | 140 | 44 | 113 | 7.86% | 6 | 16.87 | 5 | 7 | 12 | 193 | 0 | 0 | 0 | 0 | 1 | 1 | 35.42% | 96 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
11 | Adam Boqvist | 27 | D | 64 | 5 | 26 | 31 | -4 | 12 | 0 | 44 | 65 | 26 | 37 | 7.69% | 60 | 18.01 | 3 | 6 | 9 | 175 | 0 | 0 | 0 | 91 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
12 | Nino Niederreiter | 62 | LW/RW | 66 | 16 | 15 | 31 | -2 | 36 | 0 | 81 | 131 | 37 | 106 | 12.21% | 12 | 16.76 | 5 | 5 | 10 | 211 | 0 | 0 | 0 | 48 | 3 | 2 | 49.45% | 91 | 0 | 0 | 0 | 0 | 0.56 | 3 | 5 | ||
13 | Ridly Greig | 71 | C | 66 | 11 | 15 | 26 | 1 | 41 | 5 | 90 | 96 | 33 | 69 | 11.46% | 6 | 13.96 | 2 | 2 | 4 | 71 | 0 | 0 | 0 | 131 | 1 | 0 | 45.27% | 1025 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
14 | Ryan Poehling | 25 | C | 66 | 9 | 12 | 21 | -4 | 8 | 0 | 23 | 116 | 26 | 92 | 7.76% | 20 | 13.01 | 1 | 1 | 2 | 19 | 0 | 1 | 1 | 286 | 1 | 1 | 50.96% | 1097 | 0 | 0 | 0 | 0 | 0.49 | 1 | 2 | ||
15 | Erik Cernak | 81 | D | 66 | 4 | 17 | 21 | 3 | 106 | 0 | 205 | 49 | 12 | 36 | 8.16% | 131 | 20.69 | 0 | 0 | 0 | 12 | 0 | 1 | 1 | 192 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Calvin de Haan | 44 | D | 63 | 2 | 12 | 14 | -10 | 66 | 0 | 108 | 22 | 8 | 17 | 9.09% | 80 | 15.77 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 131 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
17 | William Carrier | 28 | LW | 66 | 7 | 5 | 12 | 3 | 18 | 0 | 73 | 53 | 23 | 48 | 13.21% | 1 | 10.66 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 1 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
18 | Zach Sanford | 82 | C/LW/RW | 65 | 4 | 3 | 7 | -14 | 26 | 0 | 58 | 57 | 16 | 35 | 7.02% | 6 | 8.44 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 39 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
19 | Bobby McMann | 74 | LW | 56 | 1 | 3 | 4 | -10 | 12 | 0 | 37 | 31 | 7 | 21 | 3.23% | 1 | 7.49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 26 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
20 | Jesse Puljujarvi | 13 | RW | 12 | 0 | 0 | 0 | -2 | 4 | 0 | 6 | 6 | 5 | 11 | 0.00% | 1 | 12.06 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 26 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1244 | 221 | 377 | 598 | -96 | 666 | 10 | 1415 | 2084 | 644 | 1532 | 10.60% | 647 | 16.45 | 56 | 101 | 157 | 2325 | 3 | 4 | 7 | 1973 | 33 | 14 | 47.17% | 6230 | 0 | 0 | 2 | 2 | 0.58 | 6 | 19 |
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 | Cam Talbot | Canadiens | 54 | 23 | 23 | 4 | 0.891 | 3.48 | 2980 | 0 | 0 | 173 | 1585 | 0 | 1 | 0 | 0.800 | 10 | 50 | 16 | 2 | 4 | 1 |
2 | Mackenzie Blackwood | Canadiens | 22 | 9 | 6 | 1 | 0.898 | 3.18 | 1018 | 6 | 1 | 54 | 528 | 0 | 0 | 0 | 0.857 | 7 | 16 | 50 | 4 | 1 | 0 |
Team Total or Average | 76 | 32 | 29 | 5 | 0.893 | 3.41 | 3998 | 6 | 1 | 227 | 2113 | 0 | 1 | 0 | 0.824 | 17 | 66 | 66 | 6 | 5 | 1 |
Projected Total Cap Hit | 72,874,762$ |
Projected Cap Space | 15,125,238$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 61,184,383$ |
Players In Salary Cap | 26 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | D/G | 24 | 2,600,000$ | 2,600,000$ | RFA | ||||||
Alex Iafallo | C/LW/G | 31 | 4,150,000$ | 4,150,000$ | |||||||
Alex Kerfoot ![]() | C/LW/RW | 30 | 3,750,000$ | 3,750,000$ | |||||||
Bobby McMann | LW/G | 28 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Bowen Byram | D | 23 | 3,850,000$ | 3,850,000$ | RFA | ||||||
Calvin de Haan | D | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Cam Talbot ![]() | C/LW/RW/G | 37 | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||||
Carey Price ![]() ![]() | D/G | 37 | 10,500,000$ | 10,500,000$ | 10,500,000$ | RFA | |||||
Casey Mittelstadt | C/LW | 26 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | RFA | ||||
Erik Cernak ![]() | D | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA |
Jesse Puljujarvi | RW | 26 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Juraj Slafkovsky ![]() | LW | 20 | 950,000$ | 950,000$ | |||||||
Justin Faulk ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Leo Carlsson ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | ||||||
Mackenzie Blackwood | RW/G | 28 | 2,350,000$ | 2,350,000$ | RFA | ||||||
Matt Roy | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Michael Bunting ![]() | LW/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Nino Niederreiter | LW/RW | 32 | 5,450,000$ | 5,450,000$ | 5,450,000$ | UFA | |||||
Ridly Greig ![]() | C | 22 | 863,333$ | 863,333$ | |||||||
Ryan Poehling | C | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | RFA | |||||
Sam Bennett | C/LW/RW | 28 | 5,000,000$ | 5,000,000$ | RFA | ||||||
William Carrier ![]() | LW/G | 30 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |
Zach Sanford | C/LW/RW | 30 | 2,250,000$ | 2,250,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 53 | 14 | 19 | 20 | 0 | 61 | 18 | 16 | 44 | 7 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 44 | 29 | 48 | 16 | 27 | 12 | 62.5% | 9.4% | 90.2% | 99.6 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 9 | 7 | 10 | 0 | 41 | 6 | 8 | 33 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 22 | 15 | 25 | 6 | 12 | 6 | 37.5% | 11.5% | 87.8% | 99.3 | FUN | |
3 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.500 | 6 | 10 | 16 | 0 | 1 | 1 | 3 | 2 | 0 | 89 | 34 | 29 | 21 | 5 | 82 | 34 | 30 | 75 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 72 | 49 | 70 | 22 | 40 | 20 | 66.7% | 6.7% | 92.7% | 99.4 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 1 | 0 | 51 | 22 | 18 | 11 | 0 | 69 | 17 | 22 | 33 | 10 | 1 | 10.00% | 10 | 4 | 60.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 43 | 28 | 49 | 15 | 26 | 13 | 55.6% | 11.8% | 88.4% | 100.2 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 29 | 3 | 12 | 14 | 0 | 13 | 8 | 8 | 20 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 23 | 15 | 22 | 7 | 13 | 7 | 66.7% | 10.3% | 92.3% | 102.7 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 35 | 13 | 9 | 13 | 0 | 20 | 4 | 4 | 22 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 26 | 19 | 21 | 6 | 12 | 6 | 50.0% | 11.4% | 85.0% | 96.4 | FUN | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.667 | 15 | 28 | 43 | 0 | 0 | 6 | 5 | 4 | 0 | 102 | 27 | 38 | 37 | 0 | 111 | 18 | 49 | 80 | 15 | 2 | 13.33% | 19 | 4 | 78.95% | 1 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 70 | 47 | 72 | 22 | 36 | 17 | 59.1% | 14.7% | 88.3% | 103.0 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 39 | 9 | 19 | 11 | 0 | 37 | 20 | 8 | 28 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 24 | 16 | 23 | 7 | 12 | 6 | 33.3% | 7.7% | 89.2% | 96.9 | Unlucky | |
9 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 10 | 17 | 0 | 0 | 1 | 4 | 1 | 1 | 103 | 24 | 33 | 41 | 8 | 101 | 32 | 24 | 52 | 14 | 2 | 14.29% | 10 | 0 | 100.00% | 1 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 73 | 52 | 73 | 22 | 37 | 18 | 31.3% | 6.8% | 89.1% | 95.9 | Unlucky | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 61 | 21 | 18 | 22 | 0 | 58 | 24 | 10 | 38 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 45 | 30 | 46 | 15 | 27 | 14 | 33.3% | 8.2% | 87.9% | 96.1 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 51 | 19 | 20 | 12 | 0 | 72 | 26 | 31 | 39 | 5 | 1 | 20.00% | 8 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 42 | 27 | 51 | 16 | 25 | 11 | 14.3% | 3.9% | 91.7% | 95.6 | DULL | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 67 | 23 | 17 | 27 | 0 | 69 | 13 | 22 | 51 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 45 | 30 | 48 | 14 | 26 | 12 | 33.3% | 6.0% | 84.1% | 90.0 | Unlucky | |
13 | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 15 | 12 | 3 | 7 | 0.875 | 15 | 27 | 42 | 0 | 0 | 3 | 5 | 6 | 1 | 114 | 35 | 33 | 43 | 3 | 146 | 31 | 36 | 78 | 16 | 2 | 12.50% | 18 | 6 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 94 | 66 | 98 | 30 | 51 | 25 | 68.4% | 13.2% | 91.8% | 104.9 | LUCKY | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 2 | 2 | 48 | 16 | 15 | 15 | 5 | 77 | 21 | 22 | 37 | 5 | 3 | 60.00% | 10 | 4 | 60.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 39 | 25 | 58 | 15 | 26 | 12 | 42.9% | 12.5% | 89.6% | 102.1 | FUN | |
15 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 4 | 1 | 0 | 91 | 30 | 36 | 23 | 6 | 66 | 25 | 20 | 56 | 17 | 7 | 41.18% | 9 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 72 | 49 | 73 | 24 | 39 | 19 | 16.7% | 9.9% | 84.8% | 94.7 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 10 | 9 | 8 | 0 | 27 | 12 | 2 | 16 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 24 | 16 | 22 | 7 | 13 | 6 | 66.7% | 11.1% | 96.3% | 107.4 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 17 | 3 | 9 | 0 | 22 | 4 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 24 | 17 | 21 | 7 | 13 | 6 | 0.0% | 0.0% | 90.9% | 90.9 | Unlucky | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 5 | 1 | 4 | 0 | 65 | 29 | 23 | 13 | 0 | 59 | 17 | 16 | 32 | 14 | 4 | 28.57% | 8 | 1 | 87.50% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 49 | 33 | 44 | 14 | 25 | 14 | 40.0% | 15.4% | 83.1% | 98.4 | FUN | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 50 | 21 | 13 | 16 | 0 | 58 | 17 | 16 | 37 | 10 | 1 | 10.00% | 7 | 2 | 71.43% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 44 | 31 | 50 | 14 | 24 | 11 | 25.0% | 4.0% | 91.4% | 95.4 | DULL | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 3 | 1 | 1 | 0 | 71 | 25 | 26 | 20 | 0 | 44 | 16 | 12 | 42 | 9 | 3 | 33.33% | 6 | 2 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 51 | 34 | 42 | 14 | 26 | 13 | 40.0% | 7.0% | 88.6% | 95.7 | Unlucky | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 7 | 1 | 2 | 0 | 62 | 29 | 19 | 14 | 0 | 100 | 28 | 32 | 66 | 7 | 2 | 28.57% | 15 | 1 | 93.33% | 1 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 63 | 40 | 76 | 23 | 40 | 19 | 57.1% | 16.1% | 93.0% | 109.1 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 5 | 0 | 1 | 81 | 29 | 28 | 23 | 1 | 71 | 16 | 22 | 42 | 8 | 1 | 12.50% | 10 | 5 | 50.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 48 | 34 | 46 | 15 | 25 | 12 | 60.0% | 8.6% | 87.3% | 96.0 | Unlucky | |
23 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 2 | 1 | 68 | 22 | 23 | 21 | 2 | 60 | 14 | 34 | 35 | 9 | 3 | 33.33% | 15 | 5 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 45 | 29 | 48 | 16 | 26 | 13 | 41.7% | 11.8% | 80.0% | 91.8 | FUN | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 9 | 3 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 3 | 4 | 4 | 2 | 57 | 16 | 22 | 16 | 7 | 81 | 31 | 34 | 39 | 5 | 1 | 20.00% | 16 | 5 | 68.75% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 41 | 26 | 56 | 16 | 27 | 12 | 73.3% | 21.1% | 88.9% | 109.9 | FUN | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 0 | 68 | 17 | 36 | 15 | 0 | 78 | 27 | 34 | 27 | 3 | 0 | 0.00% | 16 | 2 | 87.50% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 43 | 29 | 54 | 14 | 22 | 11 | 69.2% | 13.2% | 92.3% | 105.5 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 60 | 19 | 13 | 28 | 0 | 96 | 38 | 30 | 63 | 8 | 2 | 25.00% | 14 | 3 | 78.57% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 68 | 45 | 72 | 23 | 39 | 18 | 35.7% | 11.7% | 87.5% | 99.2 | FUN | |
27 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 4 | 3 | 3 | 0 | 92 | 31 | 39 | 22 | 0 | 91 | 39 | 20 | 61 | 15 | 1 | 6.67% | 10 | 1 | 90.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 68 | 45 | 71 | 23 | 39 | 20 | 64.3% | 10.9% | 93.4% | 104.3 | LUCKY | |
28 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 11 | -5 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 74 | 31 | 19 | 24 | 0 | 92 | 32 | 30 | 80 | 12 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 73 | 50 | 70 | 21 | 37 | 19 | 40.0% | 8.1% | 88.0% | 96.2 | Unlucky | |
29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 20 | 12 | 20 | 0 | 82 | 20 | 20 | 39 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 46 | 31 | 48 | 15 | 25 | 11 | 25.0% | 7.7% | 86.6% | 94.3 | Unlucky | |
30 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 2 | 1 | 62 | 28 | 16 | 14 | 7 | 64 | 17 | 20 | 46 | 10 | 3 | 30.00% | 10 | 0 | 100.00% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 46 | 31 | 52 | 15 | 25 | 12 | 44.4% | 11.3% | 92.2% | 103.5 | LUCKY | |
31 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 2 | 1 | 62 | 13 | 25 | 18 | 6 | 65 | 24 | 20 | 40 | 13 | 2 | 15.38% | 9 | 3 | 66.67% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 48 | 32 | 51 | 16 | 26 | 12 | 57.1% | 9.7% | 90.8% | 100.4 | FUN | |
_Vs Division | 19 | 9 | 4 | 0 | 2 | 3 | 1 | 0 | 61 | 59 | 2 | 27 | 0.711 | 61 | 110 | 171 | 0 | 1 | 17 | 21 | 20 | 4 | 560 | 190 | 189 | 169 | 16 | 624 | 201 | 188 | 419 | 69 | 5 | 7.25% | 89 | 25 | 71.91% | 0 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 444 | 302 | 463 | 146 | 249 | 122 | 62.2% | 10.9% | 90.5% | 101.4 | FUN | |
_Vs Conference | 38 | 17 | 13 | 0 | 2 | 3 | 2 | 1 | 117 | 120 | -3 | 46 | 0.605 | 117 | 208 | 325 | 0 | 1 | 39 | 40 | 34 | 5 | 1107 | 364 | 369 | 355 | 30 | 1177 | 370 | 369 | 820 | 144 | 24 | 16.67% | 169 | 36 | 78.70% | 3 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 892 | 606 | 918 | 291 | 495 | 242 | 52.5% | 10.6% | 89.8% | 100.4 | FUN | |
_Since Last GM Reset | 66 | 24 | 29 | 0 | 4 | 4 | 4 | 1 | 199 | 228 | -29 | 69 | 0.523 | 199 | 354 | 553 | 0 | 1 | 69 | 64 | 58 | 10 | 1939 | 656 | 649 | 601 | 50 | 2113 | 649 | 658 | 1373 | 261 | 49 | 18.77% | 294 | 64 | 78.23% | 3 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 1529 | 1036 | 1616 | 505 | 856 | 421 | 47.8% | 10.3% | 89.2% | 99.5 | FUN | |
Total | 66 | 24 | 29 | 0 | 4 | 4 | 4 | 1 | 199 | 228 | -29 | 69 | 0.523 | 199 | 354 | 553 | 0 | 1 | 69 | 64 | 58 | 10 | 1939 | 656 | 649 | 601 | 50 | 2113 | 649 | 658 | 1373 | 261 | 49 | 18.77% | 294 | 64 | 78.23% | 3 | 1069 | 2310 | 46.28% | 1172 | 2476 | 47.33% | 535 | 1067 | 50.14% | 1529 | 1036 | 1616 | 505 | 856 | 421 | 47.8% | 10.3% | 89.2% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2310 |
Neutral Zone Start | 1067 |
Defensive Zone Start | 2476 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2776 |
Faceoffs Lost | 3077 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 147 |
---|---|
PP Goal | 49 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 13 | 19 |
Lost | 16 | 13 |
Overtime Lost | 4 | 1 |
PP Attempt | 261 |
---|---|
PP Goal | 49 |
PK Attempt | 294 |
PK Goal Against | 64 |
Home | |
---|---|
Shots For | 29.4 |
Shots Against | 32.0 |
Goals For | 3.0 |
Goals Against | 3.5 |
Hits | 20.8 |
Shots Blocked | 9.8 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Maple Leafs3,Canadiens2 (OT) | RECAP | |||||||||||
2024-10-10 | @ | Canadiens3,Bruins5 | RECAP | |||||||||||
2024-10-12 | @ | Senators5,Canadiens7 | RECAP | |||||||||||
2024-10-14 | @ | Penguins4,Canadiens5 | RECAP | |||||||||||
2024-10-17 | @ | Kings7,Canadiens4 | RECAP | |||||||||||
2024-10-19 | @ | Canadiens2,Islanders1 | RECAP | |||||||||||
2024-10-22 | @ | Rangers1,Canadiens2 | RECAP | |||||||||||
2024-10-26 | @ | Blues4,Canadiens3 | RECAP | |||||||||||
2024-10-27 | @ | Canadiens3,Flyers1 | RECAP | |||||||||||
2024-10-29 | @ | Kraken1,Canadiens2 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Canadiens4,Capitals3 (SO) | RECAP | |||||||||||
2024-11-02 | @ | Canadiens5,Penguins2 | RECAP | |||||||||||
2024-11-05 | @ | Flames4,Canadiens5 (SO) | RECAP | |||||||||||
2024-11-07 | @ | Canadiens4,Devils2 | RECAP | |||||||||||
2024-11-09 | @ | Canadiens2,Maple Leafs0 | RECAP | |||||||||||
2024-11-11 | @ | Canadiens5,Sabres4 | RECAP | |||||||||||
2024-11-14 | @ | Canadiens4,Wild2 | RECAP | |||||||||||
2024-11-16 | @ | Blue Jackets1,Canadiens5 | RECAP | |||||||||||
2024-11-18 | @ | Oilers2,Canadiens1 | RECAP | |||||||||||
2024-11-23 | @ | Golden Knights3,Canadiens4 | RECAP | |||||||||||
2024-11-26 | @ | Hockey Club8,Canadiens3 | RECAP | |||||||||||
2024-11-27 | @ | Canadiens3,Blue Jackets1 | RECAP | |||||||||||
2024-11-30 | @ | Canadiens1,Rangers6 | RECAP | |||||||||||
2024-12-01 | @ | Canadiens2,Bruins1 | RECAP | |||||||||||
2024-12-03 | @ | Islanders4,Canadiens3 | RECAP | |||||||||||
2024-12-05 | @ | Predators3,Canadiens4 | RECAP | |||||||||||
2024-12-07 | @ | Capitals4,Canadiens3 | RECAP | |||||||||||
2024-12-09 | @ | Ducks4,Canadiens3 | RECAP | |||||||||||
2024-12-12 | @ | Penguins7,Canadiens5 | RECAP | |||||||||||
2024-12-14 | @ | Canadiens2,Jets3 | RECAP | |||||||||||
2024-12-17 | @ | Sabres3,Canadiens2 (OT) | RECAP | |||||||||||
2024-12-20 | @ | Canadiens3,Red Wings1 | RECAP | |||||||||||
2024-12-21 | @ | Red Wings2,Canadiens3 | RECAP | |||||||||||
2024-12-23 | @ | Canadiens2,Blue Jackets5 | RECAP | |||||||||||
2024-12-28 | @ | Canadiens6,Panthers5 (OT) | RECAP | |||||||||||
2024-12-29 | @ | Canadiens1,Lightning6 | RECAP | |||||||||||
2024-12-31 | @ | Canadiens3,Golden Knights2 (SO) | RECAP | |||||||||||
2025-01-03 | @ | Canadiens3,Blackhawks1 | RECAP | |||||||||||
2025-01-04 | @ | Canadiens3,Avalanche5 | RECAP | |||||||||||
2025-01-06 | @ | Canucks1,Canadiens4 | RECAP | |||||||||||
2025-01-10 | @ | Canadiens0,Capitals4 | RECAP | |||||||||||
2025-01-11 | @ | Stars6,Canadiens2 | RECAP | |||||||||||
2025-01-14 | @ | Canadiens5,Hockey Club4 (OT) | RECAP | |||||||||||
2025-01-16 | @ | Canadiens2,Stars5 | RECAP | |||||||||||
2025-01-18 | @ | Maple Leafs3,Canadiens2 | RECAP | |||||||||||
2025-01-19 | @ | Rangers5,Canadiens4 | RECAP | |||||||||||
2025-01-21 | @ | Lightning1,Canadiens2 | RECAP | |||||||||||
2025-01-23 | @ | Canadiens4,Red Wings3 | RECAP | |||||||||||
2025-01-25 | @ | Devils5,Canadiens3 | RECAP | |||||||||||
2025-01-28 | @ | Jets3,Canadiens0 | RECAP | |||||||||||
2025-01-30 | @ | Wild4,Canadiens5 | RECAP | |||||||||||
2025-02-02 | @ | Canadiens2,Ducks3 | RECAP | |||||||||||
2025-02-04 | @ | Canadiens3,Sharks7 | RECAP | |||||||||||
2025-02-05 | @ | Canadiens6,Kings3 | RECAP | |||||||||||
2025-02-08 | @ | Devils3,Canadiens2 (SO) | RECAP | |||||||||||
2025-02-09 | @ | Lightning4,Canadiens3 (OT) | RECAP | |||||||||||
2025-02-22 | @ | Canadiens5,Senators4 (SO) | RECAP | |||||||||||
2025-02-25 | @ | Hurricanes2,Canadiens0 | RECAP | |||||||||||
2025-02-27 | @ | Sharks4,Canadiens1 | RECAP | |||||||||||
2025-03-01 | @ | Canadiens2,Sabres1 (OT) | RECAP | |||||||||||
2025-03-03 | @ | Sabres4,Canadiens6 | RECAP | |||||||||||
2025-03-06 | @ | Canadiens1,Oilers3 | RECAP | |||||||||||
2025-03-08 | @ | Canadiens1,Flames4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Canadiens2,Canucks7 | RECAP | |||||||||||
2025-03-12 | @ | Canadiens4,Kraken5 (OT) | RECAP | |||||||||||
2025-03-15 | @ | Panthers4,Canadiens1 | RECAP | |||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-11 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-16 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,150,833$ | 0$ | 72,874,762$ | 15,125,238$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Centre Bell | |
City | Montreal | ||
Capacity | 21273 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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![]() |
Arena Capacity | 6004 | 5010 | 3050 | 4400 | 2809 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 198132 | 165330 | 100650 | 145200 | 72403 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 78.11% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 20658 - 97.11% | 2,673,820$ | 88,236,046$ | 21273 | 200 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,150,833$ | 73,913,328$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
67,327,127$ | 377,109$ | 61,184,383$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
21,390,557$ | 31 | 408,933$ | 12,676,923$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,982,623$ | 72,874,762$ | 358,674,575$ | 367,628,638$ |
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 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
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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 |
---|---|---|---|---|---|
Aaron Huglen | 2019 | 110 | |||
Adam Ingram | 2022 | 57 | |||
Alexander Daryin | 2019 | 115 | |||
Anton Silayev | 2024 | 8 | |||
Ben Zloty | 2022 | 195 | |||
Brodie Ziemer | 2024 | 62 | |||
Connor Levis | 2023 | 138 | |||
Connor McClennon | 2020 | 111 | |||
Cooper Foster | 2023 | 179 | |||
Daniel Ljungman | 2020 | 114 | |||
Daniil Ustinkov | 2024 | 94 | |||
Dominik Rymon | 2022 | 182 | |||
Emil Jarventie | 2023 | 95 | |||
Evan Boucher | 2022 | 177 | |||
Evgenii Kashnikov | 2021 | 221 | |||
Filip Sitar | 2024 | 210 | |||
Frantisek Dej | 2023 | 130 | |||
Gian Meier | 2024 | 168 | |||
Hannes Hellberg | 2023 | 111 | |||
Hudson Thornton | 2022 | 131 | |||
Ian Blomquist | 2022 | 144 | |||
Jack Devine | 2022 | 117 | |||
Jakub Hujer | 2022 | 198 | |||
Joona Saarelainen | 2024 | 182 | |||
Luke Ashton | 2024 | 136 | |||
Luke Ellinas | 2024 | 126 | |||
Mikhail Gulyayev | 2023 | 34 | |||
Mikhail Maltsev | |||||
Nikita Nedopekin | 2023 | 150 | |||
Nikolai Makarov | 2021 | 143 | |||
Nikolaj Tishkevich | 2022 | 148 | |||
Oskar Vuollet | 2024 | 79 | |||
Ruslan Khazheyev | 2023 | 165 | |||
Stanislav Yarovoi | 2023 | 188 | |||
Ty Smilanic | 2020 | 44 | ELC 2022-23 (activation) | Link | |
Yegor Rimashevskiy | 2023 | 98 |
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