Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sonny Milano | 67 | LW | 100.00 | 62 | 36 | 93 | 73 | 75 | 84 | 91 | 74 | 58 | 72 | 69 | 62 | 75 | 66 | 67 | 0 | 50 | 73 | 26 | 1,430,000$/5yrs | |||
Jesper Boqvist | 19 | C | 100.00 | 63 | 36 | 84 | 71 | 69 | 81 | 85 | 68 | 66 | 70 | 67 | 65 | 72 | 64 | 66 | 0 | 50 | 71 | 24 | 899,562$/2yrs | |||
Mikhail Maltsev | 65 | LW | 100.00 | 72 | 39 | 92 | 66 | 83 | 84 | 89 | 65 | 74 | 63 | 64 | 62 | 68 | 65 | 66 | 0 | 50 | 71 | 25 | 819,500$/2yrs | |||
Sam Carrick | 58 | C | 100.00 | 77 | 74 | 63 | 65 | 74 | 81 | 91 | 62 | 74 | 63 | 66 | 60 | 65 | 70 | 72 | 0 | 50 | 70 | 31 | 1,194,667$/3yrs | |||
Klim Kostin | 44 | C | 100.00 | 86 | 37 | 73 | 67 | 86 | 74 | 76 | 65 | 72 | 63 | 61 | 57 | 63 | 62 | 66 | 0 | 50 | 70 | 23 | 828,000$/2yrs | |||
Yegor Chinakhov | 88 | RW | 100.00 | 65 | 36 | 92 | 70 | 75 | 81 | 86 | 69 | 56 | 64 | 68 | 57 | 71 | 62 | 63 | 0 | 50 | 70 | 22 | 1,325,000$/2yrs | |||
Hudson Fasching | 36 | RW | 100.00 | 74 | 39 | 94 | 62 | 84 | 81 | 85 | 61 | 65 | 62 | 58 | 62 | 59 | 67 | 69 | 0 | 50 | 69 | 27 | 814,500$/2yrs | |||
Adam Beckman | 18 | LW | 100.00 | 60 | 38 | 83 | 63 | 77 | 90 | 88 | 66 | 62 | 67 | 58 | 60 | 64 | 61 | 63 | 0 | 50 | 68 | 21 | 894,167$/3yrs | |||
Paul Cotter | 71 | C | 100.00 | 76 | 39 | 73 | 60 | 79 | 84 | 87 | 60 | 65 | 58 | 62 | 57 | 61 | 64 | 65 | 0 | 50 | 68 | 23 | 783,667$/5yrs | |||
Jordan Weal | 37 | C/LW/RW | 100.00 | 61 | 35 | 91 | 66 | 66 | 80 | 80 | 64 | 77 | 66 | 62 | 59 | 63 | 77 | 73 | 0 | 50 | 68 | 31 | 988,000$/1yrs | |||
Riley Damiani (A) | 72 | C | 100.00 | 57 | 37 | 80 | 67 | 64 | 83 | 86 | 65 | 71 | 65 | 63 | 61 | 68 | 63 | 64 | 0 | 50 | 68 | 23 | 891,667$/2yrs | |||
Nathan Smith | 24 | C | 100.00 | 79 | 34 | 82 | 64 | 70 | 84 | 67 | 63 | 78 | 64 | 65 | 56 | 62 | 63 | 64 | 0 | 50 | 68 | 24 | 1,121,875$/2yrs | |||
Henrik Borgstrom | 27 | C | 100.00 | 58 | 37 | 87 | 61 | 83 | 78 | 76 | 62 | 77 | 60 | 64 | 57 | 62 | 65 | 67 | 0 | 50 | 67 | 25 | 1,603,000$/2yrs | |||
Doyle Somerby | 3 | D | 100.00 | 88 | 72 | 76 | 55 | 97 | 65 | 81 | 54 | 30 | 56 | 52 | 61 | 45 | 68 | 70 | 0 | 50 | 67 | 28 | 750,000$/1yrs | |||
Jared McIsaac | 9 | D | 100.00 | 67 | 39 | 85 | 63 | 77 | 71 | 86 | 62 | 30 | 61 | 56 | 59 | 45 | 62 | 64 | 0 | 50 | 66 | 23 | 896,667$/2yrs | |||
Gustav Olofsson | 5 | D | 100.00 | 71 | 40 | 78 | 56 | 80 | 69 | 71 | 55 | 30 | 58 | 53 | 56 | 46 | 68 | 70 | 0 | 50 | 64 | 28 | 750,000$/2yrs | |||
Hunter Skinner (C) | 7 | D | 100.00 | 68 | 39 | 81 | 57 | 78 | 72 | 73 | 56 | 30 | 55 | 54 | 58 | 46 | 61 | 63 | 0 | 50 | 63 | 21 | 925,000$/3yrs | |||
Markus Phillips | 13 | D | 100.00 | 66 | 39 | 83 | 57 | 75 | 66 | 77 | 56 | 30 | 55 | 54 | 53 | 46 | 63 | 65 | 0 | 50 | 62 | 24 | 801,667$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Simon Holmstrom | 84 | RW | 100.00 | 65 | 37 | 85 | 60 | 74 | 78 | 90 | 59 | 65 | 62 | 57 | 55 | 62 | 61 | 63 | 0 | 50 | 66 | 21 | 883,889$/3yrs | |||
Sampo Ranta | 93 | LW | 100.00 | 68 | 38 | 82 | 62 | 79 | 78 | 71 | 60 | 59 | 57 | 58 | 61 | 59 | 62 | 64 | 0 | 50 | 66 | 22 | 1,208,333$/2yrs | |||
Ostap Safin | 46 | LW | 100.00 | 81 | 40 | 83 | 57 | 90 | 71 | 65 | 55 | 52 | 54 | 55 | 58 | 56 | 63 | 65 | 0 | 50 | 65 | 24 | 879,167$/1yrs | |||
Todd Burgess | 38 | RW | 100.00 | 67 | 38 | 92 | 57 | 76 | 79 | 63 | 56 | 57 | 55 | 58 | 54 | 57 | 66 | 68 | 0 | 50 | 63 | 27 | 925,000$/1yrs | |||
Mason Millman | 11 | D | 100.00 | 63 | 39 | 79 | 53 | 72 | 62 | 63 | 55 | 30 | 54 | 50 | 53 | 45 | 61 | 63 | 0 | 50 | 60 | 21 | 870,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mat Robson | 34 | 100.00 | 66 | 67 | 68 | 81 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 66 | 75 | 0 | 50 | 69 | 27 | 2,180,000$/1yrs |
Samuel Ersson | 36 | 100.00 | 64 | 67 | 66 | 76 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 65 | 69 | 0 | 50 | 67 | 23 | 925,000$/3yrs |
Scratches | ||||||||||||||||||||
Alex Stalock | 0 | 100.00 | 73 | 70 | 72 | 69 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 76 | 89 | 0 | 50 | 75 | 35 | 1,625,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Guy Carbonneau | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 58 | 5 | 0$ |
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 | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sonny Milano | Wolves (CAR) | LW | 80 | 41 | 52 | 93 | 2 | 4 | 0 | 52 | 399 | 103 | 284 | 10.28% | 33 | 21.73 | 9 | 12 | 21 | 1 | 1 | 2 | 186 | 6 | 1 | 43.69% | 0 | 0 | 1.16 | 2 | 3 | 1.26 | |||
2 | Mikhail Maltsev | Wolves (CAR) | LW | 81 | 37 | 42 | 79 | 12 | 24 | 0 | 78 | 313 | 95 | 212 | 11.82% | 32 | 20.47 | 12 | 7 | 19 | 2 | 0 | 2 | 207 | 4 | 1 | 50.00% | 0 | 2 | 0.98 | 0 | 1 | 1.05 | |||
3 | Jesper Boqvist | Wolves (CAR) | C | 76 | 21 | 55 | 76 | 8 | 10 | 0 | 89 | 255 | 94 | 199 | 8.24% | 34 | 19.11 | 7 | 13 | 20 | 0 | 1 | 1 | 200 | 5 | 0 | 44.54% | 0 | 0 | 1.00 | 0 | 1 | 1.00 | |||
4 | Klim Kostin | Wolves (CAR) | C | 81 | 27 | 46 | 73 | 12 | 92 | 0 | 233 | 220 | 72 | 172 | 12.27% | 17 | 16.91 | 3 | 13 | 16 | 0 | 0 | 0 | 64 | 2 | 1 | 51.91% | 0 | 1 | 0.90 | 0 | 0 | 0.79 | |||
5 | Yegor Chinakhov | Wolves (CAR) | RW | 78 | 37 | 36 | 73 | 11 | 6 | 0 | 40 | 342 | 70 | 203 | 10.82% | 14 | 17.07 | 7 | 9 | 16 | 0 | 1 | 1 | 42 | 3 | 4 | 44.06% | 0 | 0 | 0.94 | 1 | 2 | 1.07 | |||
6 | Hudson Fasching | Wolves (CAR) | RW | 82 | 26 | 32 | 58 | 4 | 29 | 5 | 65 | 249 | 71 | 143 | 10.44% | 18 | 17.18 | 2 | 7 | 9 | 0 | 0 | 0 | 35 | 4 | 0 | 44.54% | 0 | 0 | 0.71 | 0 | 0 | 0.73 | |||
7 | Sam Carrick | Wolves (CAR) | C | 76 | 23 | 28 | 51 | 17 | 72 | 10 | 200 | 201 | 49 | 142 | 11.44% | 15 | 14.43 | 3 | 6 | 9 | 0 | 0 | 0 | 102 | 4 | 2 | 51.97% | 0 | 1 | 0.67 | 0 | 2 | 0.67 | |||
8 | Jared McIsaac | Wolves (CAR) | D | 81 | 10 | 38 | 48 | 15 | 34 | 0 | 83 | 95 | 19 | 68 | 10.53% | 112 | 23.04 | 3 | 8 | 11 | 0 | 0 | 0 | 221 | 1 | 2 | 0.00% | 0 | 0 | 0.59 | 0 | 0 | 0.58 | |||
9 | Jordan Weal | Wolves (CAR) | C/LW/RW | 62 | 10 | 30 | 40 | 6 | 8 | 0 | 19 | 141 | 45 | 112 | 7.09% | 13 | 13.45 | 0 | 4 | 4 | 0 | 0 | 0 | 29 | 2 | 0 | 58.14% | 0 | 0 | 0.65 | 0 | 0 | 0.67 | |||
10 | Adam Beckman | Wolves (CAR) | LW | 82 | 10 | 24 | 34 | 0 | 8 | 0 | 21 | 134 | 52 | 117 | 7.46% | 17 | 10.38 | 0 | 0 | 0 | 1 | 0 | 1 | 45 | 2 | 0 | 45.12% | 0 | 0 | 0.41 | 0 | 1 | 0.43 | |||
11 | Nathan Smith | Wolves (CAR) | C | 80 | 15 | 18 | 33 | -15 | 34 | 0 | 111 | 117 | 43 | 93 | 12.82% | 21 | 12.53 | 4 | 2 | 6 | 0 | 0 | 0 | 42 | 1 | 1 | 50.05% | 0 | 0 | 0.41 | 0 | 0 | 0.32 | |||
12 | Henrik Borgstrom | Wolves (CAR) | C | 63 | 14 | 18 | 32 | -8 | 2 | 0 | 28 | 125 | 55 | 90 | 11.20% | 14 | 13.83 | 6 | 4 | 10 | 0 | 0 | 0 | 42 | 1 | 1 | 53.54% | 0 | 0 | 0.51 | 0 | 0 | 0.50 | |||
13 | Paul Cotter | Wolves (CAR) | C | 82 | 11 | 21 | 32 | -6 | 52 | 0 | 154 | 138 | 33 | 89 | 7.97% | 15 | 11.23 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 46.54% | 0 | 0 | 0.39 | 0 | 0 | 0.31 | |||
14 | Gustav Olofsson | Wolves (CAR) | D | 82 | 3 | 27 | 30 | 12 | 70 | 0 | 160 | 50 | 28 | 40 | 6.00% | 115 | 20.84 | 0 | 8 | 8 | 0 | 1 | 1 | 216 | 1 | 1 | 0.00% | 0 | 0 | 0.37 | 0 | 0 | 0.32 | |||
15 | Doyle Somerby | Wolves (CAR) | D | 55 | 7 | 23 | 30 | 25 | 68 | 0 | 225 | 61 | 26 | 35 | 11.48% | 87 | 22.35 | 3 | 3 | 6 | 0 | 0 | 0 | 136 | 2 | 2 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.59 | |||
16 | Hunter Skinner | Wolves (CAR) | D | 80 | 5 | 23 | 28 | -12 | 60 | 0 | 120 | 68 | 15 | 54 | 7.35% | 120 | 18.21 | 1 | 5 | 6 | 0 | 0 | 0 | 128 | 0 | 1 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.23 | |||
17 | Markus Phillips | Wolves (CAR) | D | 82 | 4 | 15 | 19 | 0 | 43 | 5 | 122 | 50 | 10 | 34 | 8.00% | 92 | 16.43 | 0 | 2 | 2 | 0 | 0 | 0 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.21 | |||
18 | Riley Damiani | Wolves (CAR) | C | 82 | 4 | 8 | 12 | 1 | 4 | 0 | 9 | 59 | 19 | 50 | 6.78% | 1 | 4.18 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 51.01% | 0 | 0 | 0.15 | 1 | 1 | 0.15 | |||
19 | Mason Millman | Wolves (CAR) | D | 43 | 3 | 5 | 8 | 5 | 29 | 5 | 51 | 19 | 3 | 13 | 15.79% | 46 | 16.02 | 0 | 1 | 1 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.17 | |||
20 | Sampo Ranta | Wolves (CAR) | LW | 20 | 2 | 3 | 5 | -2 | 4 | 0 | 6 | 17 | 6 | 12 | 11.76% | 4 | 5.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.19 | |||
21 | Simon Holmstrom | Wolves (CAR) | RW | 16 | 1 | 2 | 3 | -1 | 2 | 0 | 4 | 14 | 5 | 15 | 7.14% | 2 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 0 | 0 | 0.19 | 0 | 0 | 0.18 | |||
22 | Ostap Safin | Wolves (CAR) | LW | 7 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 2 | 1 | 0.00% | 0 | 2.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.14 | 0 | 0 | 0.18 | |||
Team Total or Average | 1471 | 311 | 547 | 858 | 87 | 655 | 25 | 1871 | 3070 | 915 | 2178 | 10.13% | 822 | 15.93 | 60 | 106 | 166 | 2172 | 4 | 4 | 8 | 1846 | 40 | 18 | 49.36% | 9663 | 0 | 0 | 0 | 4 | 0.73 | 4 | 11 |
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 | Alex Stalock | Wolves (CAR) | 61 | 29 | 23 | 1 | 0.899 | 3.90 | 3309 | 6 | 0 | 215 | 2133 | 0 | 3 | 2 | 0.667 | 9 | 61 | 12 | 3 | 3 | 3 |
2 | Mat Robson | Wolves (CAR) | 30 | 15 | 11 | 3 | 0.914 | 3.16 | 1633 | 6 | 0 | 86 | 1002 | 0 | 1 | 2 | 0.500 | 4 | 21 | 61 | 2 | 0 | 2 |
Team Total or Average | 91 | 44 | 34 | 4 | 0.904 | 3.65 | 4942 | 12 | 0 | 301 | 3135 | 0 | 4 | 4 | 0.615 | 13 | 82 | 73 | 5 | 3 | 5 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Alex Stalock | G | 35 | 1,625,000$ | 2,500,000$ | 750,000$ | UFA | |||||
Doyle Somerby | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Gustav Olofsson | D | 28 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Henrik Borgstrom | C | 25 | 1,603,000$ | 2,456,000$ | 750,000$ | UFA | |||||
Hudson Fasching | RW | 27 | 814,500$ | 879,000$ | 750,000$ | UFA | |||||
Hunter Skinner | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jared McIsaac | D | 23 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Jesper Boqvist | C | 24 | 899,562$ | 925,000$ | 874,125$ | RFA | |||||
Jordan Weal | C/LW/RW | 31 | 988,000$ | 988,000$ | UFA | ||||||
Klim Kostin | C | 23 | 828,000$ | 906,000$ | 750,000$ | RFA | |||||
Markus Phillips | D | 24 | 801,667$ | 801,667$ | RFA | ||||||
Mason Millman | D | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Mat Robson | G | 27 | 2,180,000$ | 2,180,000$ | UFA | ||||||
Mikhail Maltsev | LW | 25 | 819,500$ | 839,000$ | 800,000$ | UFA | |||||
Nathan Smith | C | 24 | 1,121,875$ | 883,750$ | 1,360,000$ | RFA | |||||
Ostap Safin | LW | 24 | 879,167$ | 879,167$ | RFA | ||||||
Paul Cotter | C | 23 | 783,667$ | 796,667$ | 796,667$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||
Riley Damiani | C | 23 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
Sam Carrick | C | 31 | 1,194,667$ | 1,884,000$ | 850,000$ | 850,000$ | UFA | ||||
Sampo Ranta | LW | 22 | 1,208,333$ | 1,208,333$ | 1,208,333$ | RFA | |||||
Samuel Ersson | G | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Simon Holmstrom | RW | 21 | 883,889$ | 925,000$ | 863,333$ | 863,333$ | RFA | ||||
Sonny Milano | LW | 26 | 1,430,000$ | 700,000$ | 750,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA | ||
Todd Burgess | RW | 27 | 925,000$ | 925,000$ | UFA | ||||||
Yegor Chinakhov | RW | 22 | 1,325,000$ | 1,325,000$ | 1,325,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 9 | 4 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 132 | 94 | 92 | 8 | 126 | 1100 | 1040 | 980 | 37 | 93 | 32 | 24 | 76 | 16 | 7 | 43.75% | 11 | 3 | 72.73% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 50.0% | 10.3% | 90.3% | 100.6 | FUN |
2 | Marlies | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 15 | 4 | 4 | 0.500 | 19 | 36 | 55 | 0 | 0 | 132 | 94 | 92 | 8 | 140 | 1100 | 1040 | 980 | 37 | 163 | 46 | 48 | 104 | 18 | 5 | 27.78% | 24 | 9 | 62.50% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 70.0% | 13.6% | 90.8% | 104.4 | FUN |
3 | Americans | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 132 | 94 | 92 | 8 | 91 | 1100 | 1040 | 980 | 37 | 84 | 16 | 17 | 50 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 28.6% | 4.4% | 91.7% | 96.1 | DULL |
4 | Binghamton Senateurs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 4 | 1.000 | 14 | 27 | 41 | 0 | 0 | 132 | 94 | 92 | 8 | 106 | 1100 | 1040 | 980 | 37 | 71 | 23 | 14 | 51 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 1 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 65.0% | 13.2% | 87.3% | 100.5 | FUN |
5 | Bears | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 29 | 16 | 13 | 10 | 0.833 | 29 | 52 | 81 | 0 | 0 | 132 | 94 | 92 | 8 | 239 | 1100 | 1040 | 980 | 37 | 211 | 67 | 69 | 132 | 27 | 7 | 25.93% | 29 | 4 | 86.21% | 2 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 64.7% | 12.1% | 92.4% | 104.6 | LUCKY |
6 | Rockets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0.333 | 9 | 18 | 27 | 1 | 0 | 132 | 94 | 92 | 8 | 105 | 1100 | 1040 | 980 | 37 | 103 | 28 | 24 | 58 | 10 | 1 | 10.00% | 10 | 3 | 70.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 44.4% | 8.6% | 87.4% | 96.0 | Unlucky |
7 | Providence Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 132 | 94 | 92 | 8 | 85 | 1100 | 1040 | 980 | 37 | 94 | 29 | 22 | 55 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 66.7% | 12.9% | 92.6% | 105.5 | LUCKY |
8 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 132 | 94 | 92 | 8 | 31 | 1100 | 1040 | 980 | 37 | 34 | 12 | 6 | 22 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 28.6% | 6.5% | 82.4% | 88.8 | Unlucky |
9 | Phantoms | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 21 | 6 | 10 | 0.833 | 27 | 46 | 73 | 0 | 0 | 132 | 94 | 92 | 8 | 218 | 1100 | 1040 | 980 | 37 | 266 | 72 | 61 | 145 | 17 | 2 | 11.76% | 27 | 6 | 77.78% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 62.5% | 12.4% | 92.1% | 104.5 | LUCKY |
10 | Wolf Pack | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 23 | 20 | 3 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 132 | 94 | 92 | 8 | 250 | 1100 | 1040 | 980 | 37 | 228 | 74 | 50 | 134 | 18 | 6 | 33.33% | 21 | 4 | 80.95% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 51.5% | 9.2% | 91.2% | 100.4 | LUCKY |
11 | islanders | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 22 | 5 | 10 | 0.833 | 27 | 46 | 73 | 0 | 0 | 132 | 94 | 92 | 8 | 249 | 1100 | 1040 | 980 | 37 | 188 | 66 | 34 | 129 | 22 | 5 | 22.73% | 15 | 2 | 86.67% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 52.4% | 10.8% | 88.3% | 99.1 | FUN |
12 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 132 | 94 | 92 | 8 | 39 | 1100 | 1040 | 980 | 37 | 47 | 11 | 8 | 30 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 25.0% | 7.7% | 91.5% | 99.2 | DULL |
13 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 132 | 94 | 92 | 8 | 80 | 1100 | 1040 | 980 | 37 | 76 | 24 | 17 | 39 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 55.6% | 6.3% | 93.4% | 99.7 | DULL |
14 | Monsters | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 23 | -3 | 4 | 0.333 | 20 | 33 | 53 | 0 | 0 | 132 | 94 | 92 | 8 | 219 | 1100 | 1040 | 980 | 37 | 198 | 54 | 50 | 152 | 18 | 2 | 11.11% | 23 | 6 | 73.91% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 51.4% | 9.1% | 88.4% | 97.5 | FUN |
15 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 132 | 94 | 92 | 8 | 31 | 1100 | 1040 | 980 | 37 | 53 | 15 | 12 | 22 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 37.5% | 12.9% | 88.7% | 101.6 | FUN |
16 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 132 | 94 | 92 | 8 | 50 | 1100 | 1040 | 980 | 37 | 80 | 24 | 20 | 47 | 7 | 1 | 14.29% | 10 | 0 | 100.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 44.4% | 10.0% | 93.8% | 103.8 | LUCKY |
17 | Iowa Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 132 | 94 | 92 | 8 | 45 | 1100 | 1040 | 980 | 37 | 28 | 15 | 2 | 30 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 66.7% | 8.9% | 96.4% | 105.3 | Unlucky |
18 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 132 | 94 | 92 | 8 | 50 | 1100 | 1040 | 980 | 37 | 37 | 10 | 8 | 26 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 1 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 33.3% | 6.0% | 89.2% | 95.2 | Unlucky |
19 | Thunderbirds | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 132 | 94 | 92 | 8 | 63 | 1100 | 1040 | 980 | 37 | 81 | 17 | 12 | 51 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 45.5% | 7.9% | 91.4% | 99.3 | DULL |
20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 132 | 94 | 92 | 8 | 32 | 1100 | 1040 | 980 | 37 | 39 | 14 | 8 | 31 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 75.0% | 18.8% | 92.3% | 111.1 | LUCKY |
21 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 132 | 94 | 92 | 8 | 42 | 1100 | 1040 | 980 | 37 | 37 | 6 | 4 | 20 | 5 | 3 | 60.00% | 2 | 0 | 100.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 44.4% | 16.7% | 86.5% | 103.2 | FUN |
22 | Texas Stars | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 16 | -6 | 1 | 0.167 | 10 | 18 | 28 | 0 | 0 | 132 | 94 | 92 | 8 | 109 | 1100 | 1040 | 980 | 37 | 134 | 30 | 24 | 82 | 1 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 43.5% | 9.2% | 88.1% | 97.2 | FUN |
23 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 132 | 94 | 92 | 8 | 23 | 1100 | 1040 | 980 | 37 | 42 | 8 | 10 | 22 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 33.3% | 13.0% | 88.1% | 101.1 | FUN |
24 | Comets | 6 | 1 | 2 | 0 | 1 | 0 | 0 | 2 | 28 | 31 | -3 | 6 | 0.500 | 28 | 47 | 75 | 1 | 0 | 132 | 94 | 92 | 8 | 242 | 1100 | 1040 | 980 | 37 | 235 | 75 | 42 | 146 | 27 | 6 | 22.22% | 20 | 4 | 80.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 44.9% | 11.6% | 86.8% | 98.4 | FUN |
25 | W-B/Scranton Penguins | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 23 | 20 | 3 | 8 | 0.667 | 23 | 40 | 63 | 0 | 0 | 132 | 94 | 92 | 8 | 217 | 1100 | 1040 | 980 | 37 | 234 | 65 | 34 | 144 | 20 | 1 | 5.00% | 17 | 3 | 82.35% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 56.4% | 10.6% | 91.5% | 102.1 | LUCKY |
26 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 132 | 94 | 92 | 8 | 34 | 1100 | 1040 | 980 | 37 | 36 | 13 | 2 | 24 | 3 | 2 | 66.67% | 1 | 1 | 0.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 28.6% | 11.8% | 83.3% | 95.1 | FUN |
27 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 132 | 94 | 92 | 8 | 78 | 1100 | 1040 | 980 | 37 | 84 | 20 | 31 | 44 | 4 | 1 | 25.00% | 11 | 3 | 72.73% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 60.0% | 9.0% | 91.7% | 100.6 | LUCKY |
28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 132 | 94 | 92 | 8 | 33 | 1100 | 1040 | 980 | 37 | 36 | 15 | 8 | 26 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky |
29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 132 | 94 | 92 | 8 | 51 | 1100 | 1040 | 980 | 37 | 47 | 8 | 10 | 25 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 33.3% | 2.0% | 93.6% | 95.6 | DULL |
30 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 132 | 94 | 92 | 8 | 34 | 1100 | 1040 | 980 | 37 | 43 | 11 | 8 | 23 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 60.0% | 14.7% | 93.0% | 107.7 | LUCKY |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 132 | 94 | 92 | 8 | 32 | 1100 | 1040 | 980 | 37 | 37 | 11 | 4 | 18 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 40.0% | 6.3% | 89.2% | 95.4 | Unlucky |
_Vs Division | 42 | 24 | 13 | 0 | 2 | 0 | 1 | 2 | 177 | 153 | 24 | 56 | 0.667 | 177 | 302 | 479 | 1 | 0 | 132 | 94 | 92 | 8 | 1634 | 1100 | 1040 | 980 | 37 | 1560 | 473 | 340 | 982 | 149 | 29 | 19.46% | 152 | 29 | 80.92% | 2 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 54.4% | 10.8% | 90.2% | 101.0 | FUN | |
_Vs Conference | 62 | 34 | 21 | 0 | 3 | 1 | 1 | 2 | 259 | 225 | 34 | 79 | 0.637 | 259 | 453 | 712 | 2 | 0 | 132 | 94 | 92 | 8 | 2445 | 1100 | 1040 | 980 | 37 | 2328 | 691 | 537 | 1459 | 221 | 47 | 21.27% | 237 | 54 | 77.22% | 3 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 55.4% | 10.6% | 90.3% | 100.9 | FUN | |
_Since Last GM Reset | 82 | 39 | 34 | 0 | 4 | 2 | 1 | 2 | 323 | 307 | 16 | 92 | 0.561 | 323 | 565 | 888 | 4 | 0 | 132 | 94 | 92 | 8 | 3144 | 1100 | 1040 | 980 | 37 | 3139 | 911 | 683 | 1958 | 278 | 62 | 22.30% | 306 | 69 | 77.45% | 4 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 52.3% | 10.3% | 90.2% | 100.5 | FUN | |
Total | 82 | 39 | 34 | 0 | 4 | 2 | 1 | 2 | 323 | 307 | 16 | 92 | 0.561 | 323 | 565 | 888 | 4 | 0 | 132 | 94 | 92 | 8 | 3144 | 1100 | 1040 | 980 | 37 | 3139 | 911 | 683 | 1958 | 278 | 62 | 22.30% | 306 | 69 | 77.45% | 4 | 1521 | 3155 | 48.21% | 1569 | 3205 | 48.95% | 687 | 1395 | 49.25% | 1895 | 1297 | 2000 | 615 | 1054 | 514 | 52.3% | 10.3% | 90.2% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 3155 |
Neutral Zone Start | 1395 |
Defensive Zone Start | 3205 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3777 |
Faceoffs Lost | 3978 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.4 | 9.57 |
2nd Period | 26.1 | 20.31 |
3rd Period | 38.0 | 30.68 |
Overtime | 38.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 253 |
---|---|
PP Goal | 62 |
PK Goal | 4 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 22 | 22 |
Lost | 17 | 17 |
Overtime Lost | 2 | 2 |
PP Attempt | 278 |
---|---|
PP Goal | 62 |
PK Attempt | 306 |
PK Goal Against | 69 |
Home | |
---|---|
Shots For | 38.3 |
Shots Against | 38.3 |
Goals For | 3.9 |
Goals Against | 3.7 |
Hits | 23.9 |
Shots Blocked | 11.1 |
Pim | 8.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,885,410$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Chicago | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 18$ | $ | $ | $ |
Attendance | 59783 | 29126 | |||
Attendance PCT | 72.91% | 71.04% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2169 - 72.28% | 95,094$ | 3,898,845$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,885,410$ | 2,721,334$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
480,903$ | 0$ | 480,903$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 15,513$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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