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 | Ryan Donato | X | X | X | 100.00 | 65 | 60 | 93 | 79 | 75 | 81 | 81 | 74 | 82 | 73 | 75 | 67 | 85 | 74 | 74 | 0 | 91 | 72 | 0 | ||
2 | Joonas Donskoi | X | X | 100.00 | 65 | 60 | 91 | 77 | 74 | 96 | 96 | 71 | 73 | 72 | 72 | 68 | 82 | 80 | 80 | 0 | 91 | 72 | 0 | |||
3 | Brandon Pirri | X | X | X | 99.76 | 71 | 60 | 92 | 77 | 74 | 72 | 72 | 71 | 81 | 69 | 75 | 67 | 85 | 81 | 81 | 0 | 82 | 70 | 0 | ||
4 | Joey Anderson | X | 100.00 | 72 | 60 | 80 | 74 | 73 | 71 | 71 | 67 | 80 | 66 | 72 | 79 | 82 | 72 | 72 | 0 | 89 | 69 | 0 | ||||
5 | Christoffer Ehn | X | 100.00 | 74 | 60 | 93 | 72 | 76 | 89 | 89 | 64 | 82 | 66 | 67 | 74 | 77 | 74 | 74 | 0 | 90 | 69 | 0 | ||||
6 | Emil Bemstrom (R) | X | X | 100.00 | 72 | 60 | 80 | 74 | 74 | 80 | 80 | 68 | 76 | 69 | 69 | 67 | 79 | 71 | 71 | 0 | 91 | 69 | 0 | |||
7 | Anders Bjork | X | X | 100.00 | 66 | 60 | 92 | 72 | 74 | 71 | 71 | 66 | 93 | 68 | 68 | 69 | 78 | 73 | 73 | 0 | 90 | 67 | 0 | |||
8 | Jordan Kyrou (R) | X | X | 100.00 | 62 | 60 | 80 | 73 | 72 | 80 | 80 | 65 | 78 | 66 | 68 | 66 | 78 | 72 | 72 | 0 | 90 | 67 | 0 | |||
9 | Michael DalColle (R) | X | 100.00 | 64 | 60 | 91 | 70 | 78 | 69 | 69 | 65 | 65 | 67 | 69 | 67 | 79 | 71 | 71 | 0 | 91 | 66 | 0 | ||||
10 | Alexandre Texier (R) | X | X | 100.00 | 68 | 60 | 75 | 72 | 74 | 65 | 65 | 66 | 70 | 64 | 70 | 67 | 80 | 68 | 68 | 0 | 90 | 66 | 0 | |||
11 | Anthony Angello | X | 100.00 | 70 | 60 | 73 | 65 | 72 | 62 | 62 | 61 | 65 | 62 | 67 | 67 | 77 | 62 | 62 | 0 | 33 | 63 | 0 | ||||
12 | Vitaly Abramov | X | X | 100.00 | 60 | 60 | 78 | 66 | 64 | 60 | 60 | 60 | 65 | 62 | 65 | 68 | 75 | 61 | 61 | 0 | 84 | 62 | 0 | |||
13 | Rasmus Andersson | X | 100.00 | 70 | 62 | 89 | 73 | 80 | 85 | 85 | 70 | 65 | 74 | 66 | 74 | 76 | 83 | 83 | 0 | 92 | 72 | 0 | ||||
14 | Benjamin Gleason | X | 100.00 | 63 | 60 | 78 | 72 | 67 | 61 | 61 | 68 | 65 | 70 | 65 | 68 | 75 | 71 | 71 | 0 | 65 | 66 | 0 | ||||
15 | Lucas Carlsson | X | 100.00 | 71 | 60 | 75 | 71 | 67 | 61 | 61 | 67 | 65 | 68 | 65 | 71 | 75 | 71 | 71 | 0 | 90 | 66 | 0 | ||||
16 | Conor Timmins (R) | X | 98.00 | 60 | 60 | 75 | 70 | 68 | 60 | 60 | 65 | 65 | 65 | 65 | 69 | 75 | 71 | 71 | 0 | 90 | 64 | 0 | ||||
17 | Josh Brook | X | 100.00 | 50 | 45 | 50 | 65 | 50 | 50 | 50 | 60 | 50 | 60 | 55 | 60 | 55 | 50 | 50 | 0 | 90 | 56 | 0 | ||||
18 | Parker Wotherspoon | X | 100.00 | 50 | 50 | 50 | 65 | 50 | 50 | 50 | 60 | 50 | 60 | 55 | 60 | 55 | 50 | 50 | 0 | 30 | 56 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
1 | Rourke Chartier | X | HO | 66 | 60 | 76 | 66 | 67 | 63 | 63 | 61 | 74 | 62 | 66 | 67 | 76 | 62 | 62 | 0 | 20 | 63 | 0 | ||||
2 | Matthew Phillips | X | 100.00 | 50 | 45 | 50 | 60 | 50 | 50 | 50 | 60 | 50 | 60 | 60 | 60 | 60 | 50 | 50 | 0 | 20 | 56 | 0 | ||||
3 | Francis Perron | X | 100.00 | 50 | 45 | 50 | 60 | 50 | 50 | 50 | 60 | 50 | 60 | 60 | 60 | 60 | 50 | 50 | 0 | 19 | 56 | 0 | ||||
4 | Jimmy Schuldt | X | 65.26 | 60 | 60 | 78 | 70 | 69 | 60 | 60 | 65 | 65 | 65 | 65 | 70 | 75 | 72 | 72 | 0 | 44 | 65 | 0 | ||||
TEAM AVERAGE | 98.32 | 64 | 58 | 77 | 70 | 68 | 68 | 68 | 65 | 69 | 66 | 66 | 68 | 75 | 68 | 68 | 0 | 71 | 65 |
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 | Elvis Merzlikins | 100.00 | 87 | 88 | 88 | 88 | 87 | 89 | 89 | 89 | 89 | 89 | 82 | 73 | 73 | 0 | 90 | 86 | 0 | |
2 | Oscar Dansk | 100.00 | 82 | 80 | 80 | 84 | 83 | 85 | 85 | 85 | 85 | 85 | 80 | 63 | 63 | 0 | 91 | 82 | 0 | |
Scratches | ||||||||||||||||||||
1 | Andrew Shortridge | 100.00 | 70 | 63 | 61 | 83 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 67 | 71 | 0 | 20 | 70 | 0 | |
TEAM AVERAGE | 100.00 | 80 | 77 | 76 | 85 | 80 | 81 | 81 | 81 | 81 | 81 | 77 | 68 | 69 | 0 | 67 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Doug Weight | 75 | 71 | 79 | 77 | 74 | 70 | 77 | USA | 48 | 1 | 1,575,000$ |
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 | Ryan Donato | Cleveland Monsters (CLB) | C/LW/RW | 76 | 91 | 104 | 195 | 113 | 24 | 20 | 99 | 48 | 372 | 119 | 214 | 24.46% | 48 | 1509 | 19.86 | 13 | 19 | 32 | 40 | 173 | 0 | 0 | 0 | 1 | 6 | 15 | 1 | 65.22% | 115 | 197 | 30 | 0 | 10 | 2.58 | 0 | 0 | 1 | 0 | 3 | 12 | 13 | 9 |
2 | Joonas Donskoi | Cleveland Monsters (CLB) | LW/RW | 76 | 83 | 100 | 183 | 102 | 47 | 35 | 84 | 72 | 293 | 88 | 177 | 28.33% | 49 | 1345 | 17.71 | 15 | 17 | 32 | 43 | 171 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 55.84% | 77 | 160 | 32 | 0 | 8 | 2.72 | 0 | 0 | 1 | 1 | 5 | 14 | 3 | 7 |
3 | Brandon Pirri | Cleveland Monsters (CLB) | C/LW/RW | 74 | 74 | 90 | 164 | 98 | 46 | 30 | 116 | 111 | 274 | 93 | 156 | 27.01% | 47 | 1379 | 18.64 | 11 | 10 | 21 | 40 | 175 | 0 | 0 | 0 | 0 | 17 | 7 | 3 | 59.13% | 1052 | 131 | 22 | 0 | 7 | 2.38 | 0 | 0 | 0 | 4 | 2 | 8 | 11 | 7 |
4 | Anders Bjork | Cleveland Monsters (CLB) | LW/RW | 76 | 26 | 71 | 97 | 94 | 15 | 15 | 96 | 78 | 144 | 48 | 93 | 18.06% | 47 | 1444 | 19.00 | 2 | 9 | 11 | 16 | 142 | 0 | 0 | 0 | 7 | 109 | 2 | 2 | 66.07% | 56 | 51 | 23 | 0 | 0 | 1.34 | 0 | 0 | 1 | 2 | 0 | 0 | 3 | 4 |
5 | Michael DalColle | Cleveland Monsters (CLB) | LW | 76 | 37 | 53 | 90 | 37 | 17 | 15 | 73 | 48 | 211 | 68 | 149 | 17.54% | 20 | 1066 | 14.03 | 11 | 13 | 24 | 33 | 144 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 61.36% | 44 | 95 | 16 | 0 | 2 | 1.69 | 0 | 0 | 0 | 3 | 0 | 2 | 3 | 6 |
6 | Rasmus Andersson | Cleveland Monsters (CLB) | D | 72 | 23 | 60 | 83 | 115 | 157 | 135 | 117 | 110 | 126 | 52 | 62 | 18.25% | 151 | 1714 | 23.81 | 6 | 7 | 13 | 23 | 155 | 0 | 0 | 0 | 1 | 50 | 1 | 0 | 0.00% | 0 | 20 | 85 | 0 | 0 | 0.97 | 0 | 0 | 7 | 7 | 13 | 0 | 3 | 1 |
7 | Alexandre Texier | Cleveland Monsters (CLB) | C/LW | 76 | 39 | 38 | 77 | 43 | 56 | 50 | 77 | 43 | 177 | 56 | 91 | 22.03% | 17 | 711 | 9.36 | 10 | 16 | 26 | 36 | 142 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 58.90% | 163 | 63 | 22 | 0 | 2 | 2.17 | 0 | 0 | 2 | 5 | 3 | 2 | 3 | 4 |
8 | Joey Anderson | Cleveland Monsters (CLB) | RW | 75 | 37 | 38 | 75 | 41 | 47 | 35 | 130 | 86 | 195 | 70 | 149 | 18.97% | 73 | 1148 | 15.31 | 3 | 3 | 6 | 14 | 38 | 3 | 2 | 5 | 19 | 190 | 1 | 0 | 51.02% | 49 | 82 | 45 | 0 | 0 | 1.31 | 0 | 0 | 4 | 2 | 1 | 4 | 4 | 4 |
9 | Christoffer Ehn | Cleveland Monsters (CLB) | C | 76 | 23 | 51 | 74 | 45 | 25 | 25 | 119 | 125 | 176 | 52 | 113 | 13.07% | 65 | 1145 | 15.07 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 7 | 13 | 201 | 1 | 1 | 59.72% | 1003 | 70 | 37 | 0 | 0 | 1.29 | 0 | 0 | 1 | 1 | 3 | 2 | 1 | 3 |
10 | Victor Olofsson | Columbus Blue Jackets | LW/RW | 38 | 28 | 42 | 70 | 55 | 57 | 45 | 65 | 32 | 121 | 35 | 92 | 23.14% | 14 | 679 | 17.87 | 3 | 5 | 8 | 12 | 60 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 44.83% | 29 | 54 | 11 | 0 | 2 | 2.06 | 0 | 0 | 3 | 4 | 2 | 3 | 1 | 3 |
11 | Ben Harpur | Columbus Blue Jackets | D | 51 | 38 | 29 | 67 | 27 | 320 | 220 | 118 | 121 | 215 | 73 | 106 | 17.67% | 112 | 1202 | 23.59 | 5 | 8 | 13 | 41 | 76 | 3 | 0 | 3 | 9 | 145 | 7 | 1 | 100.00% | 1 | 59 | 69 | 0 | 6 | 1.11 | 0 | 1 | 14 | 11 | 19 | 3 | 6 | 3 |
12 | Emil Bemstrom | Cleveland Monsters (CLB) | C/RW | 55 | 16 | 33 | 49 | 43 | 54 | 40 | 102 | 43 | 116 | 48 | 72 | 13.79% | 23 | 798 | 14.51 | 2 | 7 | 9 | 12 | 83 | 0 | 0 | 0 | 1 | 11 | 3 | 0 | 42.31% | 52 | 55 | 15 | 0 | 0 | 1.23 | 0 | 0 | 3 | 3 | 2 | 4 | 1 | 0 |
13 | Jordan Kyrou | Cleveland Monsters (CLB) | C/RW | 75 | 19 | 28 | 47 | 44 | 42 | 40 | 41 | 72 | 115 | 32 | 73 | 16.52% | 24 | 759 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 97 | 4 | 0 | 63.11% | 572 | 51 | 10 | 0 | 0 | 1.24 | 0 | 0 | 0 | 2 | 6 | 1 | 0 | 1 |
14 | Adam Fox | Columbus Blue Jackets | D | 38 | 14 | 20 | 34 | 76 | 92 | 10 | 45 | 43 | 55 | 19 | 32 | 25.45% | 82 | 929 | 24.47 | 1 | 2 | 3 | 1 | 27 | 0 | 2 | 2 | 3 | 41 | 3 | 0 | 0.00% | 0 | 27 | 47 | 0 | 0 | 0.73 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 3 |
15 | Jimmy Schuldt | Cleveland Monsters (CLB) | D | 59 | 10 | 18 | 28 | 22 | 80 | 50 | 53 | 94 | 108 | 50 | 41 | 9.26% | 90 | 1021 | 17.31 | 2 | 2 | 4 | 14 | 60 | 0 | 0 | 0 | 1 | 76 | 0 | 1 | 0.00% | 0 | 22 | 60 | 0 | 0 | 0.55 | 0 | 0 | 4 | 4 | 2 | 0 | 1 | 0 |
16 | Benjamin Gleason | Cleveland Monsters (CLB) | D | 56 | 5 | 22 | 27 | 60 | 116 | 70 | 62 | 71 | 46 | 28 | 25 | 10.87% | 77 | 1055 | 18.84 | 0 | 4 | 4 | 2 | 74 | 0 | 0 | 0 | 1 | 51 | 0 | 0 | 0.00% | 0 | 19 | 56 | 0 | 0 | 0.51 | 0 | 1 | 3 | 4 | 7 | 0 | 0 | 0 |
17 | Vitaly Abramov | Cleveland Monsters (CLB) | LW/RW | 58 | 6 | 21 | 27 | 32 | 26 | 20 | 29 | 29 | 46 | 14 | 35 | 13.04% | 12 | 418 | 7.22 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 12 | 2 | 0 | 40.91% | 22 | 7 | 7 | 0 | 0 | 1.29 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 1 |
18 | Conor Timmins | Cleveland Monsters (CLB) | D | 76 | 0 | 18 | 18 | 85 | 82 | 0 | 99 | 60 | 52 | 15 | 37 | 0.00% | 97 | 1695 | 22.30 | 0 | 0 | 0 | 0 | 12 | 0 | 2 | 2 | 2 | 153 | 0 | 0 | 0.00% | 0 | 2 | 59 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
19 | Lucas Carlsson | Cleveland Monsters (CLB) | D | 76 | 5 | 12 | 17 | 79 | 47 | 5 | 72 | 61 | 43 | 19 | 10 | 11.63% | 48 | 1134 | 14.93 | 0 | 0 | 0 | 1 | 12 | 0 | 0 | 0 | 1 | 135 | 1 | 0 | 0.00% | 0 | 4 | 38 | 0 | 1 | 0.30 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
20 | Josh Brook | Cleveland Monsters (CLB) | D | 76 | 0 | 13 | 13 | 91 | 28 | 0 | 63 | 60 | 30 | 21 | 13 | 0.00% | 71 | 1137 | 14.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 129 | 0 | 0 | 0.00% | 0 | 1 | 35 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Parker Wotherspoon | Cleveland Monsters (CLB) | D | 30 | 0 | 4 | 4 | 19 | 26 | 0 | 28 | 31 | 11 | 7 | 4 | 0.00% | 26 | 472 | 15.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 17 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22 | Anthony Angello | Cleveland Monsters (CLB) | C | 13 | 2 | 2 | 4 | 8 | 4 | 0 | 15 | 4 | 12 | 5 | 8 | 16.67% | 2 | 104 | 8.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.75% | 67 | 0 | 4 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
Team Total or Average | 1378 | 576 | 867 | 1443 | 1329 | 1408 | 860 | 1703 | 1442 | 2938 | 1012 | 1752 | 19.61% | 1195 | 22874 | 16.60 | 84 | 122 | 206 | 328 | 1554 | 10 | 10 | 20 | 67 | 1463 | 72 | 13 | 59.48% | 3302 | 1170 | 740 | 0 | 38 | 1.26 | 2 | 4 | 45 | 55 | 71 | 58 | 54 | 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 | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Oscar Dansk | Cleveland Monsters (CLB) | 56 | 49 | 5 | 1 | 0.905 | 3.38 | 3316 | 2 | 0 | 187 | 1970 | 1074 | 6 | 1 | 0.000 | 0 | 56 | 20 | 2 | 6 | 1 |
2 | Elvis Merzlikins | Cleveland Monsters (CLB) | 23 | 17 | 4 | 0 | 0.938 | 2.22 | 1246 | 0 | 3 | 46 | 742 | 418 | 0 | 0 | 0.000 | 0 | 20 | 56 | 2 | 1 | 6 |
Team Total or Average | 79 | 66 | 9 | 1 | 0.914 | 3.06 | 4563 | 2 | 3 | 233 | 2712 | 1492 | 6 | 1 | 0.000 | 0 | 76 | 76 | 4 | 7 | 7 |
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 | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier | Cleveland Monsters (CLB) | C/LW | 20 | 1999-09-13 3:39:09 PM | Yes | 187 Lbs | 6 ft0 | No | No | Yes | 1 | Pro & Farm | 897,500$ | 897,500$ | 0$ | 0$ | No | ||||||||||||
Anders Bjork | Cleveland Monsters (CLB) | LW/RW | 23 | 1996-08-05 11:40:49 AM | No | 187 Lbs | 6 ft0 | No | No | Yes | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | NHL Link | |||||||||||
Andrew Shortridge | Cleveland Monsters (CLB) | G | 24 | 1995-04-26 12:26:09 PM | No | 185 Lbs | 6 ft4 | No | No | Yes | 2 | Pro & Farm | 925,000$ | 1$ | 0$ | 0$ | No | 1$ | NHL Link | ||||||||||
Anthony Angello | Cleveland Monsters (CLB) | C | 24 | 1996-03-06 3:14:37 AM | No | 196 Lbs | 6 ft4 | No | No | Yes | 1 | Pro & Farm | 833,750$ | 833,750$ | 0$ | 0$ | No | NHL Link | |||||||||||
Benjamin Gleason | Cleveland Monsters (CLB) | D | 21 | 1998-05-03 1:09:25 PM | No | 185 Lbs | 6 ft1 | No | No | Yes | 1 | Pro & Farm | 761,666$ | 761,666$ | 0$ | 0$ | No | ||||||||||||
Brandon Pirri | Cleveland Monsters (CLB) | C/LW/RW | 28 | 1991-04-10 6:29:38 PM | No | 183 Lbs | 6 ft0 | No | No | Yes | 3 | Pro & Farm | 775,000$ | 1$ | 0$ | 0$ | No | 775,000$ | 1$ | NHL Link | |||||||||
Christoffer Ehn | Cleveland Monsters (CLB) | C | 23 | 1996-04-05 11:45:04 AM | No | 181 Lbs | 6 ft3 | No | No | Yes | 1 | Pro & Farm | 759,167$ | 759,167$ | 0$ | 0$ | No | NHL Link | |||||||||||
Conor Timmins | Cleveland Monsters (CLB) | D | 21 | 1998-09-18 1:29:06 AM | Yes | 181 Lbs | 6 ft1 | No | No | Yes | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | |||||||||||
Elvis Merzlikins | Cleveland Monsters (CLB) | G | 25 | 1994-04-13 11:46:36 AM | No | 187 Lbs | 6 ft3 | No | No | Yes | 2 | Pro & Farm | 874,125$ | 1$ | 0$ | 0$ | No | 1$ | |||||||||||
Emil Bemstrom | Cleveland Monsters (CLB) | C/RW | 20 | 1999-06-01 11:56:21 AM | Yes | 190 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Francis Perron | Cleveland Monsters (CLB) | LW | 23 | 1996-04-18 3:54:10 AM | No | 166 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 715,000$ | 1$ | 0$ | 0$ | No | 1$ | NHL Link | ||||||||||
Jimmy Schuldt (Out of Payroll) | Cleveland Monsters (CLB) | D | 24 | 1995-05-11 12:57:10 AM | No | 205 Lbs | 6 ft1 | No | No | Yes | 2 | Pro & Farm | 850,000$ | 1$ | 0$ | 0$ | No | 1$ | |||||||||||
Joey Anderson | Cleveland Monsters (CLB) | RW | 21 | 1998-06-19 9:17:06 AM | No | 190 Lbs | 5 ft11 | No | No | Yes | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | NHL Link | |||||||||||
Joonas Donskoi | Cleveland Monsters (CLB) | LW/RW | 27 | 1992-04-13 1:55:03 PM | No | 181 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 3,900,000$ | 925,000$ | 0$ | 0$ | No | 3,900,000$ | NHL Link | ||||||||||
Jordan Kyrou | Cleveland Monsters (CLB) | C/RW | 21 | 1998-05-08 3:54:40 PM | Yes | 179 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 758,333$ | 758,333$ | 0$ | 0$ | No | 758,333$ | NHL Link | ||||||||||
Josh Brook | Cleveland Monsters (CLB) | D | 20 | 1999-06-17 1:31:32 AM | No | 185 Lbs | 6 ft2 | No | No | Yes | 3 | Pro & Farm | 795,000$ | 795,000$ | 0$ | 0$ | No | 795,000$ | 795,000$ | ||||||||||
Lucas Carlsson | Cleveland Monsters (CLB) | D | 22 | 1997-07-05 3:56:13 AM | No | 190 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 792,500$ | 792,500$ | 0$ | 0$ | No | 792,500$ | NHL Link | ||||||||||
Matthew Phillips | Cleveland Monsters (CLB) | C | 21 | 1998-04-06 3:57:38 PM | No | 140 Lbs | 5 ft7 | No | No | Yes | 2 | Pro & Farm | 733,333$ | 733,333$ | 0$ | 0$ | No | 733,333$ | NHL Link | ||||||||||
Michael DalColle | Cleveland Monsters (CLB) | LW | 23 | 1996-06-20 6:20:57 AM | Yes | 198 Lbs | 6 ft3 | No | No | Yes | 2 | Pro & Farm | 700,000$ | 1$ | 0$ | 0$ | No | 700,000$ | |||||||||||
Oscar Dansk | Cleveland Monsters (CLB) | G | 26 | 1994-02-28 12:02:10 PM | No | 201 Lbs | 6 ft3 | No | No | Yes | 2 | Pro & Farm | 675,000$ | 650,000$ | 0$ | 0$ | No | 1$ | NHL Link | ||||||||||
Parker Wotherspoon | Cleveland Monsters (CLB) | D | 22 | 1997-08-24 11:58:07 AM | No | 172 Lbs | 6 ft0 | No | No | Yes | 1 | Pro & Farm | 732,500$ | 732,500$ | 0$ | 0$ | No | NHL Link | |||||||||||
Rasmus Andersson | Cleveland Monsters (CLB) | D | 23 | 1996-10-28 2:30:04 PM | No | 212 Lbs | 6 ft0 | No | No | Yes | 3 | Pro & Farm | 755,833$ | 1$ | 0$ | 0$ | No | 1$ | 1$ | NHL Link | |||||||||
Rourke Chartier | Cleveland Monsters (CLB) | C | 24 | 1996-04-03 3:52:26 AM | No | 181 Lbs | 5 ft11 | No | No | Yes | 2 | Pro & Farm | 1$ | 1$ | 0$ | 0$ | No | 1$ | NHL Link | ||||||||||
Ryan Donato | Cleveland Monsters (CLB) | C/LW/RW | 23 | 1996-04-09 8:03:12 AM | No | 181 Lbs | 6 ft1 | No | No | Yes | 3 | Pro & Farm | 1,900,000$ | 1$ | 0$ | 0$ | No | 1,900,000$ | 1$ | NHL Link | |||||||||
Vitaly Abramov | Cleveland Monsters (CLB) | LW/RW | 21 | 1998-05-08 3:58:59 PM | No | 170 Lbs | 5 ft9 | No | No | Yes | 2 | Pro & Farm | 730,833$ | 730,833$ | 0$ | 0$ | No | 730,833$ | NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
25 | 22.80 | 185 Lbs | 6 ft1 | 1.92 | 942,582$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Joonas Donskoi | Brandon Pirri | Ryan Donato | 40 | 0 | 0 | 5 |
2 | Anders Bjork | Jordan Kyrou | Emil Bemstrom | 35 | 0 | 0 | 5 |
3 | Michael DalColle | Christoffer Ehn | Joey Anderson | 20 | 0 | 2 | 3 |
4 | Alexandre Texier | Anthony Angello | Vitaly Abramov | 5 | 0 | 1 | 4 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Rasmus Andersson | Conor Timmins | 50 | 0 | 2 | 3 | |
2 | Benjamin Gleason | Parker Wotherspoon | 35 | 0 | 2 | 3 | |
3 | Josh Brook | Lucas Carlsson | 15 | 0 | 2 | 3 | |
4 | Rasmus Andersson | Conor Timmins | 0 | 0 | 2 | 3 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Joonas Donskoi | Christoffer Ehn | Ryan Donato | 50 | 0 | 0 | 5 |
2 | Michael DalColle | Alexandre Texier | Joey Anderson | 50 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Emil Bemstrom | Rasmus Andersson | 50 | 0 | 0 | 5 | |
2 | Anders Bjork | Conor Timmins | 50 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Christoffer Ehn | Joey Anderson | 50 | 0 | 4 | 1 |
2 | Jordan Kyrou | Anders Bjork | 50 | 0 | 3 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Rasmus Andersson | Josh Brook | 50 | 0 | 5 | 0 |
2 | Lucas Carlsson | Conor Timmins | 50 | 0 | 5 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Christoffer Ehn | 50 | 0 | 5 | 0 | Rasmus Andersson | Josh Brook | 50 | 0 | 5 | 0 |
2 | Joey Anderson | 50 | 0 | 5 | 0 | Lucas Carlsson | Conor Timmins | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Ryan Donato | Joonas Donskoi | 50 | 0 | 0 | 5 |
2 | Joey Anderson | Emil Bemstrom | 50 | 0 | 1 | 4 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Rasmus Andersson | Conor Timmins | 50 | 0 | 1 | 4 |
2 | Lucas Carlsson | Parker Wotherspoon | 50 | 0 | 2 | 3 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Joonas Donskoi | Brandon Pirri | Ryan Donato | Emil Bemstrom | Rasmus Andersson |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Bjork | Christoffer Ehn | Joey Anderson | Rasmus Andersson | Benjamin Gleason |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ryan Donato, Emil Bemstrom, Joonas Donskoi | Emil Bemstrom, Ryan Donato | Emil Bemstrom |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Lucas Carlsson, Rasmus Andersson, Conor Timmins | Lucas Carlsson | Rasmus Andersson, Conor Timmins |
Penalty Shots |
---|
Ryan Donato, Joey Anderson, Joonas Donskoi, Alexandre Texier, Emil Bemstrom |
Goalie |
---|
#1 : Elvis Merzlikins, #2 : Oscar Dansk |
Custom OT Lines Forwards |
---|
Ryan Donato, Joonas Donskoi, Brandon Pirri, Emil Bemstrom, Christoffer Ehn, Anders Bjork, Anders Bjork, Joey Anderson, Alexandre Texier, Michael DalColle, Jordan Kyrou |
Custom OT Lines Defensemen |
---|
Rasmus Andersson, Benjamin Gleason, Conor Timmins, Josh Brook, Lucas Carlsson |
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 | Belleville Senators | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 47 | 25 | 22 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 8 | 23 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 17 | -1 | 12 | 0.750 | 47 | 85 | 132 | 1 | 0 | 200 | 221 | 135 | 2 | 273 | 1082 | 983 | 790 | 4 | 305 | 114 | 144 | 183 | 23 | 6 | 26.09% | 24 | 5 | 79.17% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
2 | Binghamton Devils | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 6 | 17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 8 | 1.000 | 23 | 41 | 64 | 0 | 0 | 200 | 221 | 135 | 2 | 158 | 1082 | 983 | 790 | 4 | 113 | 32 | 57 | 98 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
3 | Charlotte Checkers | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 8 | 20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 8 | 1.000 | 28 | 44 | 72 | 0 | 1 | 200 | 221 | 135 | 2 | 155 | 1082 | 983 | 790 | 4 | 126 | 42 | 21 | 111 | 11 | 6 | 54.55% | 8 | 0 | 100.00% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
4 | Chicago Wolves | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 11 | 30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 8 | 1.000 | 41 | 65 | 106 | 0 | 0 | 200 | 221 | 135 | 2 | 166 | 1082 | 983 | 790 | 4 | 167 | 56 | 114 | 81 | 15 | 6 | 40.00% | 17 | 5 | 70.59% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
5 | Grand Rapids Griffins | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 41 | 20 | 21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 5 | 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 15 | -1 | 6 | 0.750 | 41 | 71 | 112 | 0 | 0 | 200 | 221 | 135 | 2 | 147 | 1082 | 983 | 790 | 4 | 153 | 64 | 56 | 75 | 9 | 4 | 44.44% | 8 | 1 | 87.50% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
6 | Hershey Bears | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 6 | 0.750 | 23 | 38 | 61 | 0 | 0 | 200 | 221 | 135 | 2 | 155 | 1082 | 983 | 790 | 4 | 145 | 64 | 42 | 60 | 10 | 3 | 30.00% | 11 | 2 | 81.82% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
7 | Laval Rocket | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 16 | 34 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 8 | 22 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 8 | 12 | 14 | 0.875 | 50 | 84 | 134 | 0 | 1 | 200 | 221 | 135 | 2 | 287 | 1082 | 983 | 790 | 4 | 262 | 109 | 154 | 196 | 16 | 5 | 31.25% | 18 | 3 | 83.33% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
8 | Lehigh Valley Phantoms | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 8 | 1.000 | 19 | 34 | 53 | 0 | 0 | 200 | 221 | 135 | 2 | 147 | 1082 | 983 | 790 | 4 | 129 | 41 | 24 | 93 | 16 | 6 | 37.50% | 7 | 1 | 85.71% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
9 | Milwaukee Admirals | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 5 | 26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 2 | 19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 3 | 7 | 8 | 1.000 | 31 | 55 | 86 | 0 | 0 | 200 | 221 | 135 | 2 | 160 | 1082 | 983 | 790 | 4 | 140 | 69 | 56 | 88 | 15 | 6 | 40.00% | 8 | 0 | 100.00% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
10 | Rochester Americans | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 68 | 27 | 41 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 8 | 30 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 30 | 19 | 11 | 14 | 0.875 | 68 | 118 | 186 | 0 | 1 | 200 | 221 | 135 | 2 | 289 | 1082 | 983 | 790 | 4 | 290 | 131 | 83 | 188 | 20 | 7 | 35.00% | 14 | 1 | 92.86% | 2 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
11 | Rockford IceHogs | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 38 | 25 | 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 9 | 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 6 | 0.750 | 38 | 62 | 100 | 0 | 0 | 200 | 221 | 135 | 2 | 156 | 1082 | 983 | 790 | 4 | 142 | 41 | 61 | 100 | 13 | 7 | 53.85% | 14 | 6 | 57.14% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
12 | Syracuse Crunch | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 15 | 24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 4 | 19 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | 11 | 5 | 7 | 0.875 | 39 | 70 | 109 | 0 | 0 | 200 | 221 | 135 | 2 | 141 | 1082 | 983 | 790 | 4 | 115 | 45 | 41 | 76 | 10 | 5 | 50.00% | 8 | 2 | 75.00% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
13 | Toronto Marlies | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 55 | 29 | 26 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 29 | 14 | 15 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 26 | 15 | 11 | 12 | 0.750 | 55 | 87 | 142 | 0 | 0 | 200 | 221 | 135 | 2 | 321 | 1082 | 983 | 790 | 4 | 325 | 148 | 135 | 154 | 20 | 6 | 30.00% | 25 | 10 | 60.00% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
Total | 76 | 64 | 9 | 0 | 2 | 1 | 0 | 0 | 558 | 234 | 324 | 38 | 35 | 2 | 0 | 1 | 0 | 0 | 0 | 318 | 91 | 227 | 38 | 29 | 7 | 0 | 1 | 1 | 0 | 0 | 240 | 143 | 97 | 133 | 0.875 | 558 | 947 | 1505 | 1 | 3 | 200 | 221 | 135 | 2 | 2859 | 1082 | 983 | 790 | 4 | 2713 | 1097 | 1077 | 1661 | 215 | 83 | 38.60% | 195 | 42 | 78.46% | 7 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 | |
15 | Utica Comets | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 10 | 20 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 7 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 8 | 1.000 | 30 | 51 | 81 | 0 | 0 | 200 | 221 | 135 | 2 | 167 | 1082 | 983 | 790 | 4 | 158 | 76 | 54 | 88 | 13 | 7 | 53.85% | 7 | 2 | 71.43% | 0 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
16 | Wilkes-Barre/Scranton Penguins | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 9 | 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 8 | 1.000 | 25 | 42 | 67 | 0 | 0 | 200 | 221 | 135 | 2 | 137 | 1082 | 983 | 790 | 4 | 143 | 65 | 35 | 70 | 16 | 7 | 43.75% | 15 | 2 | 86.67% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
_Since Last GM Reset | 76 | 64 | 9 | 0 | 2 | 1 | 0 | 0 | 558 | 234 | 324 | 38 | 35 | 2 | 0 | 1 | 0 | 0 | 0 | 318 | 91 | 227 | 38 | 29 | 7 | 0 | 1 | 1 | 0 | 0 | 240 | 143 | 97 | 133 | 0.875 | 558 | 947 | 1505 | 1 | 3 | 200 | 221 | 135 | 2 | 2859 | 1082 | 983 | 790 | 4 | 2713 | 1097 | 1077 | 1661 | 215 | 83 | 38.60% | 195 | 42 | 78.46% | 7 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 | |
_Vs Conference | 20 | 17 | 2 | 0 | 1 | 0 | 0 | 0 | 179 | 69 | 110 | 10 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 23 | 82 | 10 | 7 | 2 | 0 | 1 | 0 | 0 | 0 | 74 | 46 | 28 | 36 | 0.900 | 179 | 297 | 476 | 0 | 1 | 200 | 221 | 135 | 2 | 784 | 1082 | 983 | 790 | 4 | 728 | 272 | 308 | 455 | 63 | 29 | 46.03% | 55 | 12 | 78.18% | 2 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 | |
_Vs Division | 8 | 13 | 2 | 0 | 1 | 0 | 0 | 0 | 69 | 30 | 39 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 11 | 30 | 4 | 5 | 2 | 0 | 1 | 0 | 0 | 0 | 28 | 19 | 9 | 28 | 1.750 | 69 | 117 | 186 | 0 | 0 | 200 | 221 | 135 | 2 | 316 | 1082 | 983 | 790 | 4 | 282 | 110 | 117 | 188 | 28 | 13 | 46.43% | 22 | 6 | 72.73% | 1 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
76 | 133 | W5 | 558 | 947 | 1505 | 2859 | 2713 | 1097 | 1077 | 1661 | 1 | 3 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
76 | 64 | 9 | 2 | 1 | 0 | 0 | 558 | 234 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
38 | 35 | 2 | 1 | 0 | 0 | 0 | 318 | 91 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
38 | 29 | 7 | 1 | 1 | 0 | 0 | 240 | 143 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
8 | 2 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
215 | 83 | 38.60% | 195 | 42 | 78.46% | 7 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
1082 | 983 | 790 | 4 | 200 | 221 | 135 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1776 | 1183 | 1638 | 574 | 1150 | 590 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 40 | 20 |
Attendance | 74,373 | 37,398 |
Attendance PCT | 97.86% | 98.42% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2941 - 98.04% | 142,914$ | 5,430,722$ | 3000 | 110 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
4,364,143$ | 2,271,454$ | 1,306,958$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
12,147$ | 2,789,102$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 20,569$ | 0$ |
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 |
2019 | 76 | 64 | 9 | 0 | 2 | 1 | 0 | 0 | 558 | 234 | 324 | 38 | 35 | 2 | 0 | 1 | 0 | 0 | 0 | 318 | 91 | 227 | 38 | 29 | 7 | 0 | 1 | 1 | 0 | 0 | 240 | 143 | 97 | 133 | 558 | 947 | 1505 | 1 | 3 | 200 | 221 | 135 | 2 | 2859 | 1082 | 983 | 790 | 4 | 2713 | 1097 | 1077 | 1661 | 215 | 83 | 38.60% | 195 | 42 | 78.46% | 7 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |
Total Regular Season | 76 | 64 | 9 | 0 | 2 | 1 | 0 | 0 | 558 | 234 | 324 | 38 | 35 | 2 | 0 | 1 | 0 | 0 | 0 | 318 | 91 | 227 | 38 | 29 | 7 | 0 | 1 | 1 | 0 | 0 | 240 | 143 | 97 | 133 | 558 | 947 | 1505 | 1 | 3 | 200 | 221 | 135 | 2 | 2859 | 1082 | 983 | 790 | 4 | 2713 | 1097 | 1077 | 1661 | 215 | 83 | 38.60% | 195 | 42 | 78.46% | 7 | 962 | 1603 | 60.01% | 995 | 1691 | 58.84% | 803 | 1330 | 60.38% | 1776 | 1183 | 1638 | 574 | 1150 | 590 |