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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Julien Gauthier | X | 100.00 | 88 | 45 | 92 | 76 | 86 | 50 | 69 | 55 | 30 | 47 | 63 | 58 | 67 | 85 | 72 | 0 | 90 | 61 | 0 | ||||
2 | Martin Kaut (R) | X | 100.00 | 60 | 45 | 92 | 80 | 65 | 52 | 43 | 54 | 30 | 49 | 59 | 68 | 66 | 83 | 70 | 0 | 90 | 59 | 0 | ||||
3 | Karson Kuhlman (R) | X | 100.00 | 65 | 45 | 90 | 80 | 54 | 59 | 57 | 51 | 30 | 47 | 55 | 68 | 65 | 87 | 76 | 0 | 90 | 59 | 0 | ||||
4 | Thomas Bordeleau | X | 100.00 | 50 | 45 | 95 | 80 | 49 | 76 | 40 | 49 | 30 | 48 | 50 | 63 | 50 | 81 | 73 | 0 | 90 | 56 | 0 | ||||
5 | Samuel Fagemo (R) | X | 100.00 | 51 | 45 | 95 | 78 | 66 | 50 | 40 | 51 | 30 | 44 | 58 | 55 | 65 | 83 | 70 | 0 | 90 | 55 | 0 | ||||
6 | Alexander Holtz (R) | X | 100.00 | 52 | 45 | 84 | 79 | 63 | 51 | 40 | 53 | 30 | 44 | 62 | 55 | 66 | 81 | 68 | 0 | 90 | 55 | 0 | ||||
7 | Matej Blumel (R) | X | 100.00 | 53 | 45 | 95 | 76 | 66 | 50 | 40 | 47 | 30 | 40 | 54 | 55 | 50 | 82 | 69 | 0 | 90 | 54 | 0 | ||||
8 | Marc Michaelis (R) | X | 100.00 | 50 | 45 | 95 | 77 | 58 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 53 | 0 | ||||
9 | Cole Reinhardt (R) | X | 100.00 | 50 | 45 | 95 | 76 | 66 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 53 | 0 | ||||
10 | Dominik Simon | X | 100.00 | 50 | 45 | 95 | 77 | 59 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 89 | 76 | 0 | 90 | 53 | 0 | ||||
11 | Ian Mitchell | X | 100.00 | 56 | 45 | 89 | 82 | 55 | 66 | 42 | 55 | 30 | 56 | 54 | 69 | 66 | 84 | 74 | 0 | 90 | 62 | 0 | ||||
12 | Ronald Attard | X | 100.00 | 50 | 45 | 95 | 74 | 71 | 70 | 40 | 45 | 30 | 40 | 50 | 68 | 50 | 84 | 75 | 0 | 90 | 60 | 0 | ||||
13 | Tyler Kleven (R) | X | 100.00 | 56 | 45 | 92 | 77 | 69 | 61 | 40 | 49 | 30 | 48 | 50 | 63 | 50 | 81 | 70 | 0 | 90 | 60 | 0 | ||||
14 | Thomas Harley (R) | X | 100.00 | 50 | 45 | 92 | 76 | 69 | 70 | 40 | 49 | 30 | 48 | 50 | 55 | 50 | 81 | 72 | 0 | 90 | 59 | 0 | ||||
15 | Carl Dahlstrom | X | 100.00 | 50 | 45 | 95 | 72 | 85 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 58 | 0 | ||||
16 | Mac Hollowell (R) | X | 100.00 | 50 | 45 | 92 | 81 | 40 | 54 | 40 | 49 | 30 | 48 | 50 | 61 | 50 | 84 | 72 | 0 | 90 | 57 | 0 | ||||
17 | Daniel Brickley | X | 100.00 | 50 | 45 | 95 | 75 | 69 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 57 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
1 | Arnaud Durandeau (R) | X | 100.00 | 50 | 45 | 92 | 78 | 58 | 65 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 74 | 0 | 90 | 53 | 0 | ||||
2 | Alex Formenton | X | 100.00 | 50 | 45 | 95 | 76 | 70 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 53 | 0 | ||||
3 | Joshua Ho-Sang | X | 100.00 | 50 | 45 | 95 | 79 | 53 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 74 | 0 | 90 | 53 | 0 | ||||
4 | Jayce Hawryluk | X | 100.00 | 50 | 45 | 95 | 76 | 62 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 74 | 0 | 90 | 53 | 0 | ||||
5 | Hendrix Lapierre (R) | X | 100.00 | 50 | 45 | 95 | 78 | 56 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 81 | 68 | 0 | 90 | 52 | 0 | ||||
6 | Jean-Luc Foudy (R) | X | 100.00 | 50 | 45 | 87 | 79 | 52 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 80 | 67 | 0 | 90 | 52 | 0 | ||||
TEAM AVERAGE | 100.00 | 54 | 45 | 93 | 77 | 63 | 55 | 42 | 48 | 30 | 43 | 52 | 58 | 54 | 84 | 72 | 0 | 90 | 56 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mads Sogaard (R) | 100.00 | 71 | 53 | 76 | 89 | 73 | 70 | 71 | 70 | 73 | 70 | 70 | 82 | 73 | 0 | 90 | 63 | 0 | |
2 | Alexei Melnichuk (R) | 100.00 | 70 | 40 | 40 | 85 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 82 | 69 | 0 | 90 | 58 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 47 | 58 | 87 | 69 | 68 | 68 | 68 | 69 | 68 | 68 | 82 | 71 | 0 | 90 | 61 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Oates | 65 | 65 | 65 | 65 | 95 | 73 | 50 | CAN | 60 | 4 | 700,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Martin Kaut | Hunters (MON) | LW | 25 | 15 | 12 | 27 | 11 | 4 | 0 | 29 | 26 | 116 | 30 | 80 | 12.93% | 11 | 429 | 17.19 | 5 | 2 | 7 | 9 | 30 | 0 | 0 | 0 | 0 | 15 | 2 | 1 | 61.54% | 13 | 36 | 7 | 0 | 0 | 1.26 | 0 | 2 | 0 | 0 | 0 | 4 | 3 | 3 |
2 | Alexander Holtz | Hunters (MON) | RW | 27 | 14 | 10 | 24 | 9 | 2 | 0 | 18 | 20 | 119 | 43 | 71 | 11.76% | 8 | 422 | 15.65 | 2 | 0 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 5 | 3 | 0 | 40.93% | 215 | 32 | 13 | 1 | 1 | 1.14 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 1 |
3 | Jakob Pelletier | Moncton Wildcats | LW | 12 | 5 | 12 | 17 | 0 | 0 | 0 | 21 | 10 | 61 | 24 | 30 | 8.20% | 4 | 187 | 15.62 | 2 | 5 | 7 | 14 | 19 | 0 | 0 | 0 | 2 | 12 | 2 | 0 | 41.18% | 17 | 14 | 6 | 0 | 0 | 1.81 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 |
4 | Julien Gauthier | Hunters (MON) | LW | 11 | 10 | 5 | 15 | 6 | 7 | 5 | 21 | 11 | 67 | 16 | 40 | 14.93% | 5 | 238 | 21.67 | 2 | 0 | 2 | 7 | 19 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 41.46% | 41 | 12 | 3 | 0 | 0 | 1.26 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 3 |
5 | Oskar Lindblom | Moncton Wildcats | LW | 21 | 6 | 7 | 13 | -5 | 7 | 5 | 30 | 33 | 33 | 6 | 24 | 18.18% | 8 | 358 | 17.07 | 2 | 1 | 3 | 3 | 31 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 57.14% | 7 | 16 | 11 | 0 | 0 | 0.73 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
6 | Samuel Fagemo | Hunters (MON) | LW | 11 | 5 | 4 | 9 | 1 | 17 | 5 | 7 | 6 | 25 | 10 | 15 | 20.00% | 6 | 158 | 14.42 | 1 | 1 | 2 | 1 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 6 | 4 | 3 | 0 | 0 | 1.14 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
7 | Ronald Attard | Hunters (MON) | D | 27 | 0 | 9 | 9 | 20 | 10 | 10 | 4 | 36 | 28 | 18 | 16 | 0.00% | 20 | 511 | 18.96 | 0 | 2 | 2 | 3 | 39 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 2 | 19 | 0 | 0 | 0.35 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
8 | Karson Kuhlman | Hunters (MON) | C | 11 | 5 | 4 | 9 | 3 | 6 | 0 | 16 | 16 | 41 | 10 | 18 | 12.20% | 6 | 207 | 18.87 | 0 | 1 | 1 | 0 | 12 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 38.89% | 216 | 14 | 8 | 0 | 0 | 0.87 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0 |
9 | Thomas Harley | Hunters (MON) | D | 47 | 1 | 6 | 7 | 9 | 5 | 5 | 18 | 23 | 23 | 7 | 8 | 4.35% | 22 | 796 | 16.95 | 0 | 1 | 1 | 0 | 51 | 0 | 0 | 0 | 0 | 48 | 1 | 0 | 50.00% | 2 | 6 | 19 | 0 | 0 | 0.18 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 3 |
10 | Saku Maenalanen | Moncton Wildcats | RW | 3 | 1 | 6 | 7 | 6 | 0 | 0 | 7 | 6 | 13 | 9 | 13 | 7.69% | 6 | 70 | 23.62 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 25.00% | 36 | 3 | 4 | 0 | 0 | 1.98 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
11 | Kristian Reichel | Moncton Wildcats | C | 5 | 1 | 5 | 6 | 3 | 0 | 0 | 2 | 4 | 9 | 3 | 3 | 11.11% | 3 | 88 | 17.73 | 0 | 2 | 2 | 1 | 4 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 40.00% | 45 | 2 | 4 | 0 | 0 | 1.35 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
12 | Thomas Bordeleau | Hunters (MON) | RW | 36 | 3 | 3 | 6 | 9 | 2 | 0 | 13 | 8 | 42 | 11 | 40 | 7.14% | 7 | 436 | 12.13 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 21 | 9 | 9 | 0 | 0 | 0.27 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 2 |
13 | Matej Blumel | Hunters (MON) | RW | 11 | 4 | 1 | 5 | -3 | 5 | 5 | 6 | 4 | 17 | 5 | 7 | 23.53% | 7 | 153 | 13.97 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 25.00% | 4 | 4 | 3 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
14 | Tyler Kleven | Hunters (MON) | D | 18 | 1 | 4 | 5 | 1 | 4 | 0 | 16 | 17 | 18 | 7 | 5 | 5.56% | 22 | 320 | 17.82 | 1 | 1 | 2 | 4 | 30 | 0 | 0 | 0 | 1 | 25 | 0 | 0 | 0.00% | 0 | 5 | 9 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
15 | Ian Mitchell | Hunters (MON) | D | 11 | 1 | 3 | 4 | 4 | 2 | 0 | 6 | 9 | 25 | 8 | 6 | 4.00% | 5 | 223 | 20.29 | 0 | 0 | 0 | 2 | 26 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 13 | 1 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
16 | Ty Smith | Moncton Wildcats | D | 5 | 0 | 2 | 2 | 1 | 2 | 0 | 3 | 7 | 3 | 0 | 1 | 0.00% | 3 | 94 | 18.90 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 3 | 5 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
17 | Tim Berni | Moncton Wildcats | D | 5 | 0 | 2 | 2 | 2 | 2 | 0 | 8 | 8 | 4 | 1 | 1 | 0.00% | 8 | 103 | 20.74 | 0 | 1 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 8 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
18 | Carl Dahlstrom | Hunters (MON) | D | 47 | 0 | 2 | 2 | 6 | 4 | 0 | 11 | 22 | 24 | 14 | 7 | 0.00% | 20 | 610 | 12.99 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 28 | 4 | 16 | 0 | 0 | 0.07 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 2 |
19 | Daniel Brickley | Hunters (MON) | D | 47 | 0 | 2 | 2 | 1 | 2 | 0 | 8 | 9 | 6 | 2 | 6 | 0.00% | 17 | 523 | 11.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 14 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 3 |
20 | Mac Hollowell | Hunters (MON) | D | 12 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 3 | 2 | 3 | 2 | 0.00% | 6 | 97 | 8.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 5 | 1 | 3 | 0 | 0 | 0.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
21 | Will Butcher | Moncton Wildcats | D | 17 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0.00% | 1 | 121 | 7.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 409 | 72 | 100 | 172 | 90 | 81 | 35 | 246 | 279 | 678 | 227 | 393 | 10.62% | 195 | 6156 | 15.05 | 15 | 17 | 32 | 50 | 308 | 1 | 1 | 2 | 4 | 229 | 13 | 1 | 39.48% | 656 | 169 | 178 | 2 | 1 | 0.56 | 1 | 7 | 1 | 3 | 3 | 21 | 25 | 27 |
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 | Mads Sogaard | Hunters (MON) | 20 | 11 | 7 | 2 | 0.902 | 2.79 | 1204 | 0 | 0 | 56 | 571 | 301 | 0 | 1 | 0.333 | 3 | 20 | 19 | 3 | 0 | 0 |
2 | Collin Delia | Moncton Wildcats | 4 | 4 | 0 | 0 | 0.939 | 2.00 | 240 | 0 | 0 | 8 | 132 | 72 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 1 | 2 |
Team Total or Average | 24 | 15 | 7 | 2 | 0.909 | 2.66 | 1444 | 0 | 0 | 64 | 703 | 373 | 0 | 1 | 0.333 | 3 | 24 | 19 | 3 | 1 | 2 |
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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | Hunters (MON) | LW | 24 | 1999-09-13 | No | 195 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 5,000,000$ | 0$ | 0$ | No | |
Alexander Holtz | Hunters (MON) | RW | 21 | 2002-01-23 | Yes | 195 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | |
Alexei Melnichuk | Hunters (MON) | G | 25 | 1998-06-29 | Yes | 190 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Arnaud Durandeau | Hunters (MON) | LW | 24 | 1999-01-14 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Carl Dahlstrom | Hunters (MON) | D | 28 | 1995-01-28 | No | 229 Lbs | 6 ft5 | No | No | No | 4 | UFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | |
Cole Reinhardt | Hunters (MON) | LW | 23 | 2000-02-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 2 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Daniel Brickley | Hunters (MON) | D | 27 | 1995-10-12 | No | 205 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Dominik Simon | Hunters (MON) | LW | 29 | 1994-08-08 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | UFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Hendrix Lapierre | Hunters (MON) | C | 21 | 2002-02-09 | Yes | 180 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 875,000$ | 0$ | 0$ | No | |
Ian Mitchell | Hunters (MON) | D | 24 | 1999-01-18 | No | 193 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Jayce Hawryluk | Hunters (MON) | LW | 27 | 1996-01-01 | No | 196 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Jean-Luc Foudy | Hunters (MON) | C | 21 | 2002-05-13 | Yes | 177 Lbs | 5 ft11 | No | No | No | 5 | RFA | Pro & Farm | 775,000$ | 0$ | 0$ | No | |
Joshua Ho-Sang | Hunters (MON) | RW | 26 | 1996-10-12 | No | 173 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Julien Gauthier | Hunters (MON) | LW | 25 | 1997-10-15 | No | 224 Lbs | 6 ft4 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Karson Kuhlman | Hunters (MON) | C | 28 | 1995-09-26 | Yes | 184 Lbs | 5 ft10 | No | No | No | 3 | UFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | |
Mac Hollowell | Hunters (MON) | D | 25 | 1998-09-26 | Yes | 170 Lbs | 5 ft9 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Mads Sogaard | Hunters (MON) | G | 22 | 2000-12-13 | Yes | 196 Lbs | 6 ft7 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Marc Michaelis | Hunters (MON) | C | 28 | 1995-07-31 | Yes | 187 Lbs | 5 ft11 | No | No | No | 4 | UFA | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Martin Kaut | Hunters (MON) | LW | 23 | 1999-10-02 | Yes | 190 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Matej Blumel | Hunters (MON) | RW | 23 | 2000-05-31 | Yes | 200 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Ronald Attard | Hunters (MON) | D | 24 | 1999-03-20 | No | 208 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | |
Samuel Fagemo | Hunters (MON) | LW | 23 | 2000-03-14 | Yes | 200 Lbs | 6 ft0 | No | No | No | 3 | RFA | Pro & Farm | 800,000$ | 0$ | 0$ | No | |
Thomas Bordeleau | Hunters (MON) | RW | 21 | 2002-01-03 | No | 175 Lbs | 5 ft10 | No | No | No | 3 | RFA | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | |
Thomas Harley | Hunters (MON) | D | 22 | 2001-08-19 | Yes | 205 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 850,000$ | 0$ | 0$ | No | |
Tyler Kleven | Hunters (MON) | D | 21 | 2002-01-10 | Yes | 200 Lbs | 6 ft4 | No | No | No | 2 | RFA | Pro & Farm | 950,000$ | 0$ | 0$ | No |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
25 | 24.20 | 194 Lbs | 6 ft1 | 1.76 | 1,064,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Thomas Bordeleau | 25 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | Thomas Harley | 30 | 1 | 2 | 2 | ||
3 | Carl Dahlstrom | Daniel Brickley | 25 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 55 | 1 | 2 | 2 | |||
2 | Thomas Harley | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Thomas Harley | 45 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 | Thomas Harley | 45 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Thomas Harley | 45 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Thomas Bordeleau, | , Thomas Bordeleau |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Carl Dahlstrom, Daniel Brickley, | Carl Dahlstrom | Daniel Brickley, |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Barracudas | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 6 | 1.000 | 13 | 22 | 35 | 0 | 0 | 25 | 76 | 75 | 5 | 62 | 320 | 478 | 516 | 28 | 60 | 17 | 38 | 26 | 11 | 3 | 27.27% | 9 | 1 | 88.89% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
2 | Bayou | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 25 | 76 | 75 | 5 | 31 | 320 | 478 | 516 | 28 | 44 | 8 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
3 | Chiwawa | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 25 | 76 | 75 | 5 | 89 | 320 | 478 | 516 | 28 | 92 | 35 | 22 | 43 | 11 | 2 | 18.18% | 11 | 5 | 54.55% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
4 | CoolFm | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 25 | 76 | 75 | 5 | 47 | 320 | 478 | 516 | 28 | 36 | 12 | 16 | 19 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
5 | Farmers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 25 | 76 | 75 | 5 | 47 | 320 | 478 | 516 | 28 | 27 | 10 | 4 | 31 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
6 | Goons | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 25 | 76 | 75 | 5 | 71 | 320 | 478 | 516 | 28 | 60 | 19 | 18 | 39 | 8 | 2 | 25.00% | 9 | 4 | 55.56% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
7 | Marlies | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 25 | 76 | 75 | 5 | 19 | 320 | 478 | 516 | 28 | 37 | 18 | 11 | 8 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
8 | Marmots | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 25 | 76 | 75 | 5 | 40 | 320 | 478 | 516 | 28 | 67 | 28 | 10 | 39 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
9 | Outlaws | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0.167 | 2 | 4 | 6 | 0 | 0 | 25 | 76 | 75 | 5 | 54 | 320 | 478 | 516 | 28 | 43 | 14 | 19 | 36 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
10 | Predateurs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 25 | 76 | 75 | 5 | 75 | 320 | 478 | 516 | 28 | 58 | 17 | 34 | 21 | 14 | 3 | 21.43% | 7 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
11 | Raptors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 25 | 76 | 75 | 5 | 75 | 320 | 478 | 516 | 28 | 65 | 26 | 4 | 45 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
12 | Saguenéens | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 10 | 6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 8 | 1.000 | 16 | 32 | 48 | 0 | 0 | 25 | 76 | 75 | 5 | 155 | 320 | 478 | 516 | 28 | 134 | 39 | 16 | 73 | 12 | 4 | 33.33% | 8 | 1 | 87.50% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
13 | Scorpions | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 25 | 76 | 75 | 5 | 59 | 320 | 478 | 516 | 28 | 59 | 12 | 8 | 34 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
14 | Snowbirds | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 25 | 76 | 75 | 5 | 83 | 320 | 478 | 516 | 28 | 63 | 23 | 35 | 49 | 4 | 1 | 25.00% | 10 | 2 | 80.00% | 1 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
15 | Spartans | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 3 | 0.750 | 13 | 23 | 36 | 0 | 0 | 25 | 76 | 75 | 5 | 73 | 320 | 478 | 516 | 28 | 64 | 29 | 36 | 48 | 3 | 0 | 0.00% | 8 | 5 | 37.50% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
16 | Supreme | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | -1 | 1 | 0.500 | 6 | 12 | 18 | 0 | 0 | 25 | 76 | 75 | 5 | 38 | 320 | 478 | 516 | 28 | 40 | 13 | 0 | 19 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
17 | Thugs | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 25 | 76 | 75 | 5 | 35 | 320 | 478 | 516 | 28 | 68 | 13 | 28 | 23 | 7 | 4 | 57.14% | 9 | 1 | 88.89% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
18 | TigersCats | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 25 | 76 | 75 | 5 | 17 | 320 | 478 | 516 | 28 | 24 | 11 | 39 | 15 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
Total | 47 | 24 | 11 | 0 | 4 | 5 | 1 | 2 | 181 | 134 | 47 | 23 | 9 | 6 | 0 | 3 | 3 | 1 | 1 | 83 | 66 | 17 | 24 | 15 | 5 | 0 | 1 | 2 | 0 | 1 | 98 | 68 | 30 | 65 | 0.691 | 181 | 334 | 515 | 2 | 0 | 25 | 76 | 75 | 5 | 1334 | 320 | 478 | 516 | 28 | 1249 | 425 | 443 | 739 | 141 | 31 | 21.99% | 139 | 29 | 79.14% | 1 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 | |
20 | Twins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 25 | 76 | 75 | 5 | 59 | 320 | 478 | 516 | 28 | 32 | 22 | 32 | 32 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
21 | Vandals | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 6 | 1.000 | 12 | 23 | 35 | 0 | 0 | 25 | 76 | 75 | 5 | 102 | 320 | 478 | 516 | 28 | 73 | 20 | 16 | 45 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
22 | Vipers | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 6 | 8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 5 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 25 | 76 | 75 | 5 | 66 | 320 | 478 | 516 | 28 | 73 | 28 | 27 | 50 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
23 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 25 | 76 | 75 | 5 | 37 | 320 | 478 | 516 | 28 | 30 | 11 | 18 | 26 | 12 | 2 | 16.67% | 4 | 0 | 100.00% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
_Since Last GM Reset | 47 | 24 | 11 | 0 | 4 | 5 | 1 | 2 | 181 | 134 | 47 | 23 | 9 | 6 | 0 | 3 | 3 | 1 | 1 | 83 | 66 | 17 | 24 | 15 | 5 | 0 | 1 | 2 | 0 | 1 | 98 | 68 | 30 | 65 | 0.691 | 181 | 334 | 515 | 2 | 0 | 25 | 76 | 75 | 5 | 1334 | 320 | 478 | 516 | 28 | 1249 | 425 | 443 | 739 | 141 | 31 | 21.99% | 139 | 29 | 79.14% | 1 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 | |
_Vs Conference | 9 | 4 | 4 | 0 | 0 | 1 | 0 | 0 | 30 | 33 | -3 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 15 | -3 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 18 | 18 | 0 | 9 | 0.500 | 30 | 53 | 83 | 2 | 0 | 25 | 76 | 75 | 5 | 241 | 320 | 478 | 516 | 28 | 251 | 98 | 98 | 151 | 23 | 3 | 13.04% | 29 | 7 | 75.86% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 | |
_Vs Division | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 0.750 | 15 | 25 | 40 | 1 | 0 | 25 | 76 | 75 | 5 | 118 | 320 | 478 | 516 | 28 | 96 | 31 | 34 | 58 | 10 | 2 | 20.00% | 17 | 5 | 70.59% | 0 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
47 | 65 | OTL2 | 181 | 334 | 515 | 1334 | 1249 | 425 | 443 | 739 | 2 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
47 | 24 | 11 | 4 | 5 | 1 | 2 | 181 | 134 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
23 | 9 | 6 | 3 | 3 | 1 | 1 | 83 | 66 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 15 | 5 | 1 | 2 | 0 | 1 | 98 | 68 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
6 | 0 | 0 | 3 | 1 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
141 | 31 | 21.99% | 139 | 29 | 79.14% | 1 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
320 | 478 | 516 | 28 | 25 | 76 | 75 | 5 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1226 | 867 | 948 | 355 | 679 | 333 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2023-10-15 | 12 | Hunters | 5 | Saguenéens | 4 | W | BoxScore | |||
2 - 2023-10-16 | 18 | Hunters | 6 | Chiwawa | 4 | W | BoxScore | |||
3 - 2023-10-17 | 31 | Bayou | 4 | Hunters | 2 | L | BoxScore | |||
5 - 2023-10-19 | 48 | Hunters | 6 | Raptors | 2 | W | BoxScore | |||
6 - 2023-10-20 | 65 | Twins | 2 | Hunters | 7 | W | BoxScore | |||
7 - 2023-10-21 | 81 | Hunters | 6 | Supreme | 7 | L | X | X | BoxScore | |
8 - 2023-10-22 | 91 | Snowbirds | 1 | Hunters | 3 | W | BoxScore | |||
9 - 2023-10-23 | 106 | Hunters | 2 | Wolves | 3 | L | BoxScore | |||
11 - 2023-10-25 | 123 | Vipers | 3 | Hunters | 4 | W | X | BoxScore | ||
12 - 2023-10-26 | 141 | Hunters | 6 | Barracudas | 2 | W | BoxScore | |||
13 - 2023-10-27 | 150 | Marmots | 4 | Hunters | 2 | L | BoxScore | |||
15 - 2023-10-29 | 168 | Hunters | 5 | Raptors | 1 | W | BoxScore | |||
16 - 2023-10-30 | 181 | Saguenéens | 2 | Hunters | 4 | W | BoxScore | |||
17 - 2023-10-31 | 204 | Hunters | 5 | Marmots | 2 | W | BoxScore | |||
18 - 2023-11-01 | 211 | Predateurs | 3 | Hunters | 7 | W | BoxScore | |||
19 - 2023-11-02 | 222 | Hunters | 4 | Vandals | 2 | W | BoxScore | |||
20 - 2023-11-03 | 244 | Outlaws | 3 | Hunters | 2 | L | X | BoxScore | ||
22 - 2023-11-05 | 263 | Hunters | 5 | Goons | 4 | W | BoxScore | |||
23 - 2023-11-06 | 276 | Farmers | 6 | Hunters | 4 | L | BoxScore | |||
24 - 2023-11-07 | 291 | Hunters | 10 | Spartans | 3 | W | BoxScore | |||
25 - 2023-11-08 | 304 | Scorpions | 4 | Hunters | 3 | L | X | X | BoxScore | |
27 - 2023-11-10 | 322 | Hunters | 0 | Outlaws | 1 | L | BoxScore | |||
28 - 2023-11-11 | 334 | Hunters | 2 | Snowbirds | 3 | L | BoxScore | |||
29 - 2023-11-12 | 348 | Saguenéens | 1 | Hunters | 2 | W | X | BoxScore | ||
30 - 2023-11-13 | 366 | Outlaws | 1 | Hunters | 0 | L | BoxScore | |||
32 - 2023-11-15 | 384 | Hunters | 3 | Chiwawa | 2 | W | BoxScore | |||
33 - 2023-11-16 | 397 | Hunters | 5 | Saguenéens | 3 | W | BoxScore | |||
34 - 2023-11-17 | 402 | Goons | 4 | Hunters | 2 | L | BoxScore | |||
35 - 2023-11-18 | 427 | CoolFm | 1 | Hunters | 4 | W | BoxScore | |||
36 - 2023-11-19 | 443 | Hunters | 4 | Marlies | 5 | L | X | BoxScore | ||
37 - 2023-11-20 | 455 | Vipers | 2 | Hunters | 6 | W | BoxScore | |||
39 - 2023-11-22 | 474 | Hunters | 0 | TigersCats | 5 | L | BoxScore | |||
40 - 2023-11-23 | 482 | Hunters | 2 | Twins | 1 | W | X | BoxScore | ||
41 - 2023-11-24 | 492 | Barracudas | 1 | Hunters | 2 | W | BoxScore | |||
42 - 2023-11-25 | 518 | Vandals | 4 | Hunters | 5 | W | X | BoxScore | ||
43 - 2023-11-26 | 532 | Hunters | 3 | Thugs | 4 | L | BoxScore | |||
44 - 2023-11-27 | 548 | Chiwawa | 4 | Hunters | 2 | L | BoxScore | |||
45 - 2023-11-28 | 555 | Hunters | 3 | Scorpions | 4 | L | X | BoxScore | ||
46 - 2023-11-29 | 577 | Hunters | 4 | CoolFm | 2 | W | BoxScore | |||
47 - 2023-11-30 | 586 | Wolves | 1 | Hunters | 7 | W | BoxScore | |||
48 - 2023-12-01 | 603 | Hunters | 3 | Vandals | 1 | W | BoxScore | |||
49 - 2023-12-02 | 616 | Thugs | 4 | Hunters | 5 | W | X | X | BoxScore | |
51 - 2023-12-04 | 640 | Hunters | 5 | Barracudas | 2 | W | BoxScore | |||
52 - 2023-12-05 | 648 | Predateurs | 1 | Hunters | 2 | W | BoxScore | |||
53 - 2023-12-06 | 658 | Hunters | 4 | Vipers | 1 | W | BoxScore | |||
54 - 2023-12-07 | 679 | Snowbirds | 6 | Hunters | 5 | L | X | BoxScore | ||
56 - 2023-12-09 | 707 | Spartans | 4 | Hunters | 3 | L | X | BoxScore | ||
57 - 2023-12-10 | 717 | Hunters | - | Supreme | - | |||||
58 - 2023-12-11 | 738 | Husky | - | Hunters | - | |||||
59 - 2023-12-12 | 753 | Hunters | - | Husky | - | |||||
60 - 2023-12-13 | 765 | Grizzlies | - | Hunters | - | |||||
62 - 2023-12-15 | 780 | Hunters | - | Raptors | - | |||||
63 - 2023-12-16 | 793 | Hunters | - | Warriors | - | |||||
64 - 2023-12-17 | 804 | TigersCats | - | Hunters | - | |||||
65 - 2023-12-18 | 825 | Hunters | - | Bandits | - | |||||
66 - 2023-12-19 | 834 | Smirnoff Ice | - | Hunters | - | |||||
68 - 2023-12-21 | 859 | Marmots | - | Hunters | - | |||||
70 - 2023-12-23 | 875 | Hunters | - | Xpress | - | |||||
71 - 2023-12-24 | 889 | Thugs | - | Hunters | - | |||||
73 - 2023-12-26 | 911 | Hunters | - | Bayou | - | |||||
74 - 2023-12-27 | 922 | Spartans | - | Hunters | - | |||||
75 - 2023-12-28 | 939 | Hunters | - | Rockets | - | |||||
76 - 2023-12-29 | 951 | Marlies | - | Hunters | - | |||||
77 - 2023-12-30 | 966 | Hunters | - | Predateurs | - | |||||
79 - 2024-01-01 | 986 | Igloos | - | Hunters | - | |||||
81 - 2024-01-03 | 1007 | Supreme | - | Hunters | - | |||||
82 - 2024-01-04 | 1020 | Hunters | - | Wolves | - | |||||
83 - 2024-01-05 | 1034 | Hunters | - | Igloos | - | |||||
84 - 2024-01-06 | 1045 | Xpress | - | Hunters | - | |||||
85 - 2024-01-07 | 1060 | Hunters | - | Chiwawa | - | |||||
86 - 2024-01-08 | 1076 | Hunters | - | Farmers | - | |||||
88 - 2024-01-10 | 1084 | Bayou | - | Hunters | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
89 - 2024-01-11 | 1105 | Bandits | - | Hunters | - | |||||
91 - 2024-01-13 | 1130 | Twins | - | Hunters | - | |||||
92 - 2024-01-14 | 1132 | Hunters | - | Smirnoff Ice | - | |||||
95 - 2024-01-17 | 1162 | Raptors | - | Hunters | - | |||||
97 - 2024-01-19 | 1187 | Warriors | - | Hunters | - | |||||
101 - 2024-01-23 | 1213 | Rockets | - | Hunters | - | |||||
102 - 2024-01-24 | 1221 | Hunters | - | Grizzlies | - | |||||
105 - 2024-01-27 | 1243 | Scorpions | - | Hunters | - | |||||
106 - 2024-01-28 | 1250 | Hunters | - | Bayou | - | |||||
107 - 2024-01-29 | 1253 | Hunters | - | Grizzlies | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 45,845 | 22,897 |
Attendance PCT | 99.66% | 99.55% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 2989 - 99.63% | 101,636$ | 2,337,636$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,745,696$ | 2,660,000$ | 2,555,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 1,379,628$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,829,454$ | 53 | 30,826$ | 1,633,778$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | 82 | 31 | 41 | 0 | 2 | 4 | 3 | 1 | 224 | 252 | -28 | 41 | 19 | 19 | 0 | 1 | 1 | 0 | 1 | 121 | 122 | -1 | 41 | 12 | 22 | 0 | 1 | 3 | 3 | 0 | 103 | 130 | -27 | 77 | 224 | 400 | 624 | 1 | 3 | 55 | 83 | 81 | 7 | 1944 | 505 | 680 | 746 | 30 | 2008 | 690 | 876 | 1132 | 217 | 30 | 13.82% | 254 | 59 | 76.77% | 9 | 641 | 1319 | 48.60% | 653 | 1351 | 48.33% | 629 | 1259 | 49.96% | 2188 | 1579 | 1627 | 584 | 1132 | 562 |
46 | 47 | 24 | 11 | 0 | 4 | 5 | 1 | 2 | 181 | 134 | 47 | 23 | 9 | 6 | 0 | 3 | 3 | 1 | 1 | 83 | 66 | 17 | 24 | 15 | 5 | 0 | 1 | 2 | 0 | 1 | 98 | 68 | 30 | 65 | 181 | 334 | 515 | 2 | 0 | 25 | 76 | 75 | 5 | 1334 | 320 | 478 | 516 | 28 | 1249 | 425 | 443 | 739 | 141 | 31 | 21.99% | 139 | 29 | 79.14% | 1 | 449 | 869 | 51.67% | 442 | 867 | 50.98% | 379 | 713 | 53.16% | 1226 | 867 | 948 | 355 | 679 | 333 |
Total Regular Season | 129 | 55 | 52 | 0 | 6 | 9 | 4 | 3 | 405 | 386 | 19 | 64 | 28 | 25 | 0 | 4 | 4 | 1 | 2 | 204 | 188 | 16 | 65 | 27 | 27 | 0 | 2 | 5 | 3 | 1 | 201 | 198 | 3 | 142 | 405 | 734 | 1139 | 3 | 3 | 80 | 159 | 156 | 12 | 3278 | 825 | 1158 | 1262 | 58 | 3257 | 1115 | 1319 | 1871 | 358 | 61 | 17.04% | 393 | 88 | 77.61% | 10 | 1090 | 2188 | 49.82% | 1095 | 2218 | 49.37% | 1008 | 1972 | 51.12% | 3414 | 2447 | 2575 | 939 | 1812 | 896 |