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Full Scoreboard »» |
Manitoba Moose 42-32-4, 88pts · 2nd in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 99.00 | 49 | 42 | 87 | 87 | 64 | 83 | 94 | 82 | 64 | 72 | 81 | 69 | 80 | 53 | 53 | 87 | 79 | 71 | 20 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 52 | 66 | 86 | 64 | 78 | 92 | 79 | 66 | 74 | 73 | 70 | 69 | 54 | 54 | 86 | 78 | 70 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 52 | 85 | 81 | 79 | 75 | 85 | 76 | 74 | 67 | 73 | 73 | 72 | 60 | 60 | 78 | 80 | 69 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 60 | 74 | 81 | 83 | 85 | 95 | 68 | 71 | 62 | 64 | 75 | 66 | 69 | 69 | 68 | 78 | 69 | 26 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 55 | 78 | 77 | 67 | 88 | 62 | 71 | 38 | 61 | 82 | 73 | 25 | 56 | 56 | 64 | 78 | 67 | 26 | 1,150,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 26 | 98 | 82 | 65 | 57 | 66 | 73 | 66 | 67 | 63 | 64 | 63 | 98 | 91 | 63 | 25 | 67 | 27 | 850,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 49 | 43 | 95 | 90 | 65 | 82 | 95 | 68 | 60 | 56 | 69 | 66 | 74 | 63 | 63 | 77 | 25 | 67 | 24 | 775,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 75 | 72 | 62 | 84 | 75 | 62 | 78 | 68 | 63 | 55 | 72 | 72 | 70 | 68 | 68 | 72 | 78 | 67 | 24 | 975,000$/5yrs | |||
![]() | 0 | C | 100.00 | 45 | 38 | 94 | 84 | 64 | 66 | 75 | 75 | 75 | 70 | 69 | 64 | 69 | 61 | 61 | 77 | 65 | 66 | 22 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 47 | 41 | 94 | 82 | 67 | 76 | 95 | 72 | 64 | 65 | 66 | 64 | 67 | 61 | 61 | 79 | 78 | 66 | 23 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 61 | 56 | 58 | 78 | 71 | 78 | 94 | 68 | 60 | 56 | 67 | 73 | 70 | 58 | 58 | 80 | 76 | 66 | 22 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 93 | 80 | 56 | 71 | 80 | 74 | 76 | 73 | 25 | 57 | 54 | 77 | 55 | 97 | 94 | 59 | 41 | 72 | 27 | 1,142,573$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 80 | 61 | 76 | 79 | 71 | 75 | 75 | 25 | 62 | 58 | 78 | 59 | 91 | 90 | 62 | 74 | 72 | 28 | 1,125,778$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 43 | 82 | 71 | 75 | 65 | 68 | 74 | 25 | 69 | 63 | 82 | 56 | 89 | 91 | 64 | 69 | 71 | 28 | 950,000$/3yrs | |||
![]() | 44 | D | 100.00 | 82 | 61 | 65 | 66 | 71 | 71 | 72 | 75 | 25 | 63 | 58 | 77 | 54 | 95 | 96 | 58 | 22 | 70 | 28 | 1,127,855$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 47 | 98 | 84 | 60 | 79 | 83 | 56 | 25 | 55 | 54 | 75 | 47 | 65 | 65 | 66 | 35 | 66 | 27 | 975,000$/3yrs | |||
![]() | 29 | D | 100.00 | 70 | 70 | 70 | 78 | 93 | 68 | 95 | 48 | 25 | 48 | 39 | 74 | 41 | 65 | 65 | 71 | 19 | 66 | 25 | 950,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 95.00 | 53 | 27 | 97 | 81 | 77 | 66 | 81 | 80 | 81 | 71 | 73 | 76 | 70 | 96 | 94 | 63 | 78 | 72 | 29 | 1,765,445$/3yrs | |||
![]() | 0 | LW | 100.00 | 44 | 37 | 97 | 85 | 62 | 73 | 95 | 70 | 60 | 62 | 67 | 68 | 68 | 53 | 53 | 87 | 41 | 65 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 59 | 76 | 65 | 72 | 60 | 72 | 58 | 74 | 57 | 73 | 55 | 25 | 54 | 54 | 57 | 20 | 60 | 27 | 1,150,000$/2yrs | |||
![]() | 0 | D | 34.16 | 78 | 44 | 85 | 77 | 75 | 70 | 74 | 68 | 25 | 62 | 50 | 75 | 25 | 60 | 60 | 80 | 70 | 67 | 22 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 52 | 75 | 77 | 71 | 76 | 95 | 62 | 25 | 63 | 50 | 72 | 53 | 50 | 50 | 90 | 47 | 65 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 54 | 79 | 81 | 77 | 67 | 91 | 51 | 25 | 51 | 41 | 73 | 43 | 63 | 63 | 75 | 41 | 65 | 24 | 814,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 71 | 73 | 76 | 74 | 85 | 83 | 84 | 81 | 73 | 69 | 93 | 95 | 44 | 77 | 78 | 31 | 950,000$/1yrs |
![]() | 0 | 100.00 | 70 | 74 | 69 | 67 | 68 | 85 | 86 | 92 | 89 | 79 | 83 | 59 | 59 | 85 | 72 | 75 | 22 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 67 | 59 | 67 | 62 | 70 | 72 | 75 | 69 | 57 | 57 | 56 | 56 | 79 | 20 | 64 | 24 | 950,000$/3yrs |
![]() | 0 | 100.00 | 60 | 62 | 78 | 68 | 69 | 73 | 60 | 69 | 69 | 62 | 30 | 50 | 50 | 72 | 20 | 64 | 25 | 950,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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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 | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Adam Ingram | C | 77 | 33 | 47 | 80 | 14 | 0 | 0 | 11 | 300 | 70 | 205 | 11.00% | 10 | 17.63 | 9 | 9 | 18 | 190 | 0 | 1 | 1 | 41 | 6 | 4 | 46.80% | 1579 | 0 | 0 | 0 | 0 | 1.18 | 2 | 4 | ||
2 | Justin Sourdif | C/RW | 78 | 21 | 41 | 62 | -4 | 22 | 0 | 65 | 258 | 86 | 191 | 8.14% | 16 | 17.86 | 3 | 13 | 16 | 169 | 1 | 0 | 1 | 25 | 2 | 3 | 48.48% | 132 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
3 | Julius Bergman | D | 74 | 9 | 47 | 56 | 13 | 12 | 0 | 42 | 115 | 54 | 85 | 7.83% | 95 | 21.56 | 0 | 12 | 12 | 156 | 0 | 0 | 0 | 200 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
4 | Kyle Jackson | C/LW | 77 | 23 | 31 | 54 | 14 | 13 | 5 | 43 | 260 | 63 | 165 | 8.85% | 17 | 18.59 | 6 | 5 | 11 | 154 | 0 | 3 | 3 | 161 | 2 | 0 | 53.05% | 1214 | 0 | 0 | 0 | 0 | 0.75 | 1 | 4 | ||
5 | Jason Dickinson | C/LW | 76 | 20 | 33 | 53 | -4 | 12 | 0 | 15 | 251 | 84 | 177 | 7.97% | 18 | 17.39 | 0 | 6 | 6 | 70 | 2 | 0 | 2 | 110 | 3 | 2 | 58.77% | 924 | 0 | 0 | 1 | 0 | 0.80 | 0 | 3 | ||
6 | Arttu Ruotsalainen | C/LW/RW | 78 | 28 | 22 | 50 | 14 | 55 | 5 | 212 | 255 | 82 | 203 | 10.98% | 15 | 17.96 | 6 | 5 | 11 | 195 | 0 | 0 | 0 | 52 | 8 | 0 | 37.30% | 126 | 0 | 0 | 1 | 0 | 0.71 | 0 | 0 | ||
7 | Markus Nurmi | LW/RW | 78 | 18 | 24 | 42 | 6 | 28 | 0 | 119 | 176 | 57 | 144 | 10.23% | 13 | 16.67 | 1 | 3 | 4 | 66 | 0 | 0 | 0 | 202 | 3 | 1 | 56.83% | 183 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
8 | Justin Barron | D | 68 | 6 | 35 | 41 | 7 | 53 | 5 | 117 | 52 | 27 | 44 | 11.54% | 103 | 21.03 | 4 | 3 | 7 | 78 | 0 | 0 | 0 | 173 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
9 | Christian Jaros | D | 76 | 8 | 26 | 34 | 11 | 111 | 5 | 246 | 78 | 30 | 54 | 10.26% | 90 | 20.10 | 1 | 2 | 3 | 75 | 0 | 1 | 1 | 169 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | Jeremy Michel | RW | 78 | 8 | 22 | 30 | 10 | 2 | 0 | 12 | 135 | 36 | 100 | 5.93% | 10 | 9.79 | 3 | 9 | 12 | 171 | 0 | 0 | 0 | 1 | 1 | 1 | 44.44% | 45 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | ||
11 | Aidan Mcdonough | LW | 78 | 8 | 20 | 28 | -3 | 30 | 0 | 106 | 155 | 54 | 130 | 5.16% | 7 | 14.80 | 1 | 3 | 4 | 110 | 0 | 0 | 0 | 16 | 1 | 0 | 50.65% | 77 | 0 | 0 | 0 | 0 | 0.49 | 1 | 1 | ||
12 | Ty Nelson | D | 51 | 7 | 19 | 26 | 11 | 42 | 0 | 82 | 57 | 14 | 37 | 12.28% | 63 | 20.45 | 3 | 4 | 7 | 120 | 0 | 0 | 0 | 41 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
13 | Jesper Lindgren | D | 47 | 5 | 15 | 20 | 3 | 10 | 0 | 24 | 43 | 16 | 28 | 11.63% | 64 | 20.42 | 0 | 0 | 0 | 49 | 1 | 0 | 1 | 85 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
14 | Mikael Pyyhtia | LW | 51 | 14 | 5 | 19 | -3 | 2 | 0 | 4 | 76 | 19 | 54 | 18.42% | 3 | 10.57 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 45.45% | 44 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
15 | Daylan Kuefler | LW | 74 | 9 | 6 | 15 | -1 | 22 | 0 | 94 | 91 | 33 | 84 | 9.89% | 8 | 10.20 | 2 | 0 | 2 | 34 | 0 | 1 | 1 | 104 | 2 | 0 | 36.99% | 73 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
16 | Alexandre Fortin | C/LW | 29 | 3 | 12 | 15 | 2 | 2 | 0 | 1 | 26 | 9 | 25 | 11.54% | 1 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 218 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
17 | Tanner Dickinson | C | 71 | 6 | 7 | 13 | -1 | 2 | 0 | 9 | 104 | 23 | 64 | 5.77% | 3 | 7.88 | 1 | 3 | 4 | 120 | 0 | 0 | 0 | 31 | 1 | 0 | 52.52% | 556 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
18 | Damien Giroux | C/LW | 29 | 8 | 4 | 12 | 5 | 4 | 0 | 5 | 52 | 11 | 29 | 15.38% | 0 | 11.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.34% | 211 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
19 | Damir Sharipzyanov | D | 28 | 3 | 8 | 11 | -1 | 35 | 5 | 62 | 30 | 4 | 14 | 10.00% | 29 | 17.06 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
20 | Thomas Schemitsch | D | 47 | 1 | 9 | 10 | -18 | 73 | 5 | 152 | 32 | 10 | 35 | 3.13% | 62 | 18.95 | 0 | 0 | 0 | 49 | 0 | 1 | 1 | 104 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
21 | Miska Kukkonen | D | 49 | 0 | 9 | 9 | 10 | 14 | 0 | 49 | 17 | 7 | 9 | 0.00% | 49 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
22 | Fedor Gordeev | D | 22 | 1 | 1 | 2 | -3 | 10 | 0 | 36 | 10 | 2 | 7 | 10.00% | 24 | 15.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
Team Total or Average | 1336 | 239 | 443 | 682 | 82 | 554 | 30 | 1506 | 2573 | 791 | 1884 | 9.29% | 700 | 16.27 | 41 | 77 | 118 | 1838 | 4 | 7 | 11 | 1664 | 37 | 12 | 51.10% | 5382 | 0 | 0 | 2 | 0 | 0.63 | 4 | 12 |
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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Malik | 59 | 59 | 31 | 24 | 3 | 0.908 | 2.99 | -13.5 | 3392 | 2 | 3 | 169 | 1829 | 0 | 1 | 0 | 0.667 | 9 | 59 | 14 | 6 | 2 | 4 | |
2 | Steve Michalek | 23 | 17 | 11 | 8 | 0 | 0.894 | 3.23 | -12.7 | 1190 | 4 | 0 | 64 | 604 | 0 | 2 | 0 | 0.000 | 0 | 17 | 61 | 1 | 0 | 0 | |
3 | Zachary Emond | 2 | 2 | 0 | 0 | 1 | 0.896 | 4.88 | -1.3 | 86 | 0 | 0 | 7 | 67 | 0 | 0 | 0 | 0.333 | 3 | 2 | 0 | 0 | 0 | 1 | |
4 | Beck Warm | 1 | 0 | 0 | 0 | 0 | 0.864 | 4.62 | -1.1 | 39 | 0 | 0 | 3 | 22 | 0 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 | |
Team Total or Average | 85 | 42 | 32 | 4 | 0.904 | 3.10 | 4709 | 6 | 3 | 243 | 2522 | 0 | 3 | 0 | 0.583 | 12 | 78 | 78 | 7 | 2 | 5 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Adam Ingram | C | 20 | $925,000 | |||||||
Aidan Mcdonough | LW | 24 | $975,000 | $975,000 | $975,000 | $975,000 | $975,000 | |||
Alexandre Fortin | C/LW | 27 | $850,000 | |||||||
Arttu Ruotsalainen | C/LW/RW | 26 | $1,150,000 | $1,150,000 | ||||||
Beck Warm | G | 25 | $950,000 | $950,000 | ||||||
Christian Jaros | D | 28 | $1,125,778 | |||||||
Damien Giroux | C/LW | 24 | $775,000 | $775,000 | $775,000 | |||||
Damir Sharipzyanov | D | 28 | $1,127,855 | |||||||
Daylan Kuefler | LW | 22 | $925,000 | $925,000 | $925,000 | |||||
Fedor Gordeev | D | 25 | $950,000 | $950,000 | $950,000 | $950,000 | ||||
Jason Dickinson | C/LW | 29 | $1,765,445 | $1,765,445 | $1,765,445 | |||||
Jeremy Michel | RW | 23 | $925,000 | $925,000 | ||||||
Jesper Lindgren | D | 27 | $975,000 | $975,000 | $975,000 | |||||
Julius Bergman | D | 28 | $950,000 | $950,000 | $950,000 | |||||
Justin Barron | D | 22 | $925,000 | $925,000 | $925,000 | |||||
Justin Sourdif | C/RW | 22 | $925,000 | |||||||
Kyle Jackson | C/LW | 21 | $925,000 | $925,000 | ||||||
Markus Nurmi | LW/RW | 26 | $925,000 | |||||||
Mikael Pyyhtia | LW | 22 | $925,000 | |||||||
Miska Kukkonen | D | 24 | $814,000 | $814,000 | ||||||
Nick Malik | G | 22 | $925,000 | |||||||
Ross Colton | C/LW | 27 | $1,150,000 | $1,150,000 | ||||||
Steve Michalek | G | 31 | $950,000 | |||||||
Tanner Dickinson | C | 22 | $925,000 | $925,000 | ||||||
Thomas Schemitsch | D | 27 | $1,142,573 | |||||||
Ty Nelson | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Zachary Emond | G | 24 | $950,000 | $950,000 | $950,000 |
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 97 | 82 | 74 | 10 | 83 | 916 | 902 | 938 | 51 | 85 | 21 | 22 | 39 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 33.3% | 6.0% | 91.8% | 97.8 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 97 | 82 | 74 | 10 | 46 | 916 | 902 | 938 | 51 | 19 | 6 | 2 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 20.0% | 4.3% | 78.9% | 83.3 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 97 | 82 | 74 | 10 | 39 | 916 | 902 | 938 | 51 | 22 | 9 | 6 | 25 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 71.4% | 12.8% | 81.8% | 94.6 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 97 | 82 | 74 | 10 | 30 | 916 | 902 | 938 | 51 | 26 | 7 | 4 | 22 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 75.0% | 10.0% | 96.2% | 106.2 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 97 | 82 | 74 | 10 | 33 | 916 | 902 | 938 | 51 | 26 | 11 | 4 | 25 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 33.3% | 3.0% | 92.3% | 95.3 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 97 | 82 | 74 | 10 | 36 | 916 | 902 | 938 | 51 | 22 | 10 | 8 | 26 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 40.0% | 5.6% | 86.4% | 91.9 | Unlucky | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 97 | 82 | 74 | 10 | 110 | 916 | 902 | 938 | 51 | 92 | 17 | 30 | 62 | 9 | 1 | 11.11% | 13 | 4 | 69.23% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 57.1% | 8.2% | 89.1% | 97.3 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 97 | 82 | 74 | 10 | 42 | 916 | 902 | 938 | 51 | 36 | 6 | 6 | 26 | 6 | 2 | 33.33% | 3 | 2 | 33.33% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 25.0% | 7.1% | 86.1% | 93.3 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 97 | 82 | 74 | 10 | 54 | 916 | 902 | 938 | 51 | 26 | 1 | 8 | 24 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 80.0% | 7.4% | 92.3% | 99.7 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 97 | 82 | 74 | 10 | 32 | 916 | 902 | 938 | 51 | 26 | 15 | 10 | 27 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 33.3% | 3.1% | 88.5% | 91.6 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 97 | 82 | 74 | 10 | 33 | 916 | 902 | 938 | 51 | 12 | 8 | 4 | 16 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY | |
12 | 5 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 14 | 13 | 1 | 7 | 0.700 | 14 | 24 | 38 | 0 | 0 | 97 | 82 | 74 | 10 | 180 | 916 | 902 | 938 | 51 | 153 | 36 | 26 | 123 | 19 | 3 | 15.79% | 10 | 3 | 70.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 52.4% | 7.8% | 91.5% | 99.3 | DULL | |
13 | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 31 | 33 | -2 | 8 | 0.444 | 31 | 53 | 84 | 0 | 0 | 97 | 82 | 74 | 10 | 299 | 916 | 902 | 938 | 51 | 328 | 105 | 87 | 203 | 39 | 9 | 23.08% | 33 | 9 | 72.73% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 47.8% | 10.4% | 89.9% | 100.3 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 97 | 82 | 74 | 10 | 68 | 916 | 902 | 938 | 51 | 83 | 29 | 21 | 49 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 53.8% | 11.8% | 91.6% | 103.3 | LUCKY | |
15 | 6 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 25 | 17 | 8 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 97 | 82 | 74 | 10 | 185 | 916 | 902 | 938 | 51 | 203 | 66 | 54 | 132 | 7 | 1 | 14.29% | 25 | 3 | 88.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 63.2% | 13.5% | 91.6% | 105.1 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 97 | 82 | 74 | 10 | 35 | 916 | 902 | 938 | 51 | 23 | 7 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 85.7% | 17.1% | 95.7% | 112.8 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 97 | 82 | 74 | 10 | 62 | 916 | 902 | 938 | 51 | 57 | 27 | 25 | 41 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 60.0% | 4.8% | 93.0% | 97.8 | DULL | |
18 | 6 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | 25 | 26 | -1 | 7 | 0.583 | 25 | 46 | 71 | 0 | 0 | 97 | 82 | 74 | 10 | 241 | 916 | 902 | 938 | 51 | 194 | 49 | 30 | 139 | 9 | 1 | 11.11% | 14 | 2 | 85.71% | 1 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 50.0% | 10.4% | 86.6% | 97.0 | FUN | |
19 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 15 | 4 | 10 | 0.714 | 19 | 37 | 56 | 0 | 1 | 97 | 82 | 74 | 10 | 236 | 916 | 902 | 938 | 51 | 214 | 60 | 58 | 140 | 17 | 3 | 17.65% | 27 | 2 | 92.59% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 55.2% | 8.1% | 93.0% | 101.0 | DULL | |
20 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 97 | 82 | 74 | 10 | 60 | 916 | 902 | 938 | 51 | 70 | 16 | 10 | 30 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 45.5% | 10.0% | 91.4% | 101.4 | LUCKY | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 97 | 82 | 74 | 10 | 38 | 916 | 902 | 938 | 51 | 29 | 8 | 6 | 29 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 33.3% | 7.9% | 86.2% | 94.1 | Unlucky | |
22 | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 19 | 22 | -3 | 7 | 0.583 | 19 | 33 | 52 | 0 | 0 | 97 | 82 | 74 | 10 | 219 | 916 | 902 | 938 | 51 | 215 | 57 | 44 | 128 | 13 | 5 | 38.46% | 20 | 5 | 75.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 45.2% | 8.7% | 89.8% | 98.4 | Unlucky | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 97 | 82 | 74 | 10 | 28 | 916 | 902 | 938 | 51 | 35 | 11 | 10 | 18 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 25.0% | 7.1% | 80.0% | 87.1 | Unlucky | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 97 | 82 | 74 | 10 | 90 | 916 | 902 | 938 | 51 | 45 | 14 | 10 | 40 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 1 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 60.0% | 12.2% | 84.4% | 96.7 | FUN | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 97 | 82 | 74 | 10 | 84 | 916 | 902 | 938 | 51 | 69 | 13 | 16 | 44 | 4 | 2 | 50.00% | 7 | 0 | 100.00% | 1 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 55.6% | 8.3% | 94.2% | 102.5 | DULL | |
26 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 6 | 0.750 | 17 | 30 | 47 | 0 | 0 | 97 | 82 | 74 | 10 | 162 | 916 | 902 | 938 | 51 | 128 | 36 | 31 | 89 | 18 | 3 | 16.67% | 13 | 1 | 92.31% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 58.3% | 10.5% | 91.4% | 101.9 | LUCKY | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 97 | 82 | 74 | 10 | 35 | 916 | 902 | 938 | 51 | 32 | 8 | 10 | 17 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 80.0% | 11.4% | 96.9% | 108.3 | LUCKY | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 97 | 82 | 74 | 10 | 41 | 916 | 902 | 938 | 51 | 39 | 16 | 10 | 18 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 0.0% | 2.4% | 92.3% | 94.7 | DULL | |
29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 97 | 82 | 74 | 10 | 66 | 916 | 902 | 938 | 51 | 69 | 25 | 16 | 49 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 37.5% | 6.1% | 91.3% | 97.4 | DULL | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 97 | 82 | 74 | 10 | 62 | 916 | 902 | 938 | 51 | 76 | 19 | 19 | 38 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 66.7% | 12.9% | 92.1% | 105.0 | LUCKY | |
31 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.500 | 10 | 16 | 26 | 0 | 0 | 97 | 82 | 74 | 10 | 66 | 916 | 902 | 938 | 51 | 68 | 16 | 39 | 41 | 9 | 4 | 44.44% | 11 | 2 | 81.82% | 0 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 40.0% | 15.2% | 83.8% | 99.0 | FUN | |
_Vs Division | 43 | 16 | 8 | 0 | 4 | 1 | 2 | 2 | 150 | 137 | 13 | 47 | 0.547 | 150 | 268 | 418 | 0 | 1 | 97 | 82 | 74 | 10 | 1522 | 916 | 902 | 938 | 51 | 1435 | 409 | 330 | 954 | 122 | 25 | 20.49% | 142 | 25 | 82.39% | 1 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 52.7% | 9.9% | 90.5% | 100.3 | FUN | |
_Vs Conference | 58 | 28 | 21 | 0 | 4 | 1 | 2 | 2 | 200 | 180 | 20 | 71 | 0.612 | 200 | 359 | 559 | 0 | 2 | 97 | 82 | 74 | 10 | 2091 | 916 | 902 | 938 | 51 | 1945 | 558 | 467 | 1278 | 161 | 33 | 20.50% | 198 | 34 | 82.83% | 4 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 53.4% | 9.6% | 90.7% | 100.3 | FUN | |
_Since Last GM Reset | 78 | 34 | 32 | 0 | 6 | 2 | 2 | 2 | 261 | 245 | 16 | 88 | 0.564 | 261 | 468 | 729 | 0 | 3 | 97 | 82 | 74 | 10 | 2795 | 916 | 902 | 938 | 51 | 2522 | 729 | 628 | 1699 | 223 | 44 | 19.73% | 265 | 47 | 82.26% | 4 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 52.3% | 9.3% | 90.3% | 99.6 | FUN | |
Total | 78 | 34 | 32 | 0 | 6 | 2 | 2 | 2 | 261 | 245 | 16 | 88 | 0.564 | 261 | 468 | 729 | 0 | 3 | 97 | 82 | 74 | 10 | 2795 | 916 | 902 | 938 | 51 | 2522 | 729 | 628 | 1699 | 223 | 44 | 19.73% | 265 | 47 | 82.26% | 4 | 1566 | 2986 | 52.44% | 1462 | 2732 | 53.51% | 654 | 1265 | 51.70% | 1851 | 1277 | 1848 | 570 | 1018 | 506 | 52.3% | 9.3% | 90.3% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2986 |
Neutral Zone Start | 1265 |
Defensive Zone Start | 2732 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3682 |
Faceoffs Lost | 3301 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 35.3 | 30.68 |
Overtime | 36.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 213 |
---|---|
PP Goal | 44 |
PK Goal | 4 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 23 |
Lost | 17 | 15 |
Overtime Lost | 3 | 1 |
PP Attempt | 223 |
---|---|
PP Goal | 44 |
PK Attempt | 265 |
PK Goal Against | 47 |
Home | |
---|---|
Shots For | 35.8 |
Shots Against | 32.3 |
Goals For | 3.3 |
Goals Against | 3.1 |
Hits | 21.8 |
Shots Blocked | 9.3 |
Pim | 8.1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,585,064 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Bells MTS Place |
City | Manitoba | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 185853 | 93685 | |||
Attendance PCT | 79.42% | 80.07% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 7168 - 79.64% | $177,555 | $6,924,651 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,585,064 | $2,585,064 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$2,524,013 | $0 | $2,524,013 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$355,110 | 11 | $15,957 | $175,527 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$175,527 | $0 | $0 | $0 |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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