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 | 27 | 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 | 24 | 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$/2yrs | |||
Adam Beckman | 18 | LW | 100.00 | 60 | 38 | 83 | 63 | 77 | 90 | 88 | 66 | 62 | 67 | 58 | 60 | 64 | 61 | 63 | 0 | 50 | 68 | 22 | 894,167$/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 | 22 | 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 | 22 | 883,889$/3yrs | |||
Sampo Ranta | 93 | LW | 100.00 | 68 | 38 | 82 | 62 | 79 | 78 | 71 | 60 | 59 | 57 | 58 | 61 | 59 | 62 | 64 | 0 | 50 | 66 | 23 | 1,208,333$/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 | Jesper Boqvist | Wolves (CAR) | C | 7 | 6 | 2 | 8 | 2 | 0 | 0 | 17 | 29 | 9 | 19 | 20.69% | 2 | 20.20 | 1 | 2 | 3 | 0 | 0 | 0 | 16 | 2 | 0 | 46.70% | 0 | 0 | 1.14 | 0 | 0 | 1.32 | |||
2 | Jared McIsaac | Wolves (CAR) | D | 7 | 2 | 5 | 7 | 1 | 0 | 0 | 2 | 16 | 5 | 6 | 12.50% | 5 | 23.46 | 0 | 1 | 1 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.98 | |||
3 | Sonny Milano | Wolves (CAR) | LW | 7 | 2 | 4 | 6 | 0 | 2 | 0 | 3 | 41 | 8 | 33 | 4.88% | 2 | 24.88 | 1 | 1 | 2 | 0 | 0 | 0 | 15 | 1 | 0 | 38.64% | 0 | 0 | 0.86 | 0 | 0 | 1.09 | |||
4 | Sam Carrick | Wolves (CAR) | C | 7 | 2 | 3 | 5 | 2 | 8 | 0 | 17 | 24 | 9 | 31 | 8.33% | 2 | 20.91 | 1 | 1 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 57.22% | 0 | 0 | 0.71 | 0 | 0 | 0.83 | |||
5 | Hudson Fasching | Wolves (CAR) | RW | 7 | 2 | 3 | 5 | 2 | 0 | 0 | 5 | 22 | 10 | 24 | 9.09% | 5 | 18.41 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.71 | 0 | 0 | 0.97 | |||
6 | Yegor Chinakhov | Wolves (CAR) | RW | 7 | 1 | 4 | 5 | 2 | 0 | 0 | 7 | 20 | 13 | 20 | 5.00% | 1 | 17.39 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 0 | 0 | 0.71 | 0 | 0 | 0.90 | |||
7 | Mikhail Maltsev | Wolves (CAR) | LW | 7 | 1 | 3 | 4 | 2 | 0 | 0 | 10 | 25 | 7 | 31 | 4.00% | 3 | 21.57 | 0 | 1 | 1 | 0 | 0 | 0 | 21 | 0 | 0 | 64.58% | 0 | 0 | 0.57 | 0 | 0 | 0.90 | |||
8 | Gustav Olofsson | Wolves (CAR) | D | 7 | 1 | 1 | 2 | -2 | 2 | 0 | 12 | 12 | 3 | 5 | 8.33% | 13 | 21.27 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.33 | |||
9 | Hunter Skinner | Wolves (CAR) | D | 7 | 0 | 2 | 2 | -1 | 10 | 0 | 10 | 11 | 2 | 10 | 0.00% | 14 | 20.70 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.17 | |||
10 | Markus Phillips | Wolves (CAR) | D | 7 | 0 | 2 | 2 | -2 | 2 | 0 | 3 | 6 | 0 | 3 | 0.00% | 6 | 16.46 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.16 | |||
11 | Jordan Weal | Wolves (CAR) | C/LW/RW | 7 | 1 | 1 | 2 | -4 | 2 | 0 | 0 | 23 | 7 | 4 | 4.35% | 1 | 12.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 0 | 0 | 0.29 | 0 | 0 | 0.19 | |||
12 | Nathan Smith | Wolves (CAR) | C | 7 | 0 | 2 | 2 | -1 | 6 | 0 | 15 | 5 | 2 | 4 | 0.00% | 7 | 15.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.14 | |||
13 | Klim Kostin | Wolves (CAR) | C | 7 | 1 | 1 | 2 | -4 | 2 | 0 | 14 | 16 | 7 | 7 | 6.25% | 3 | 13.30 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 45.19% | 0 | 0 | 0.29 | 0 | 0 | 0.19 | |||
14 | Doyle Somerby | Wolves (CAR) | D | 7 | 0 | 2 | 2 | 1 | 12 | 0 | 26 | 8 | 7 | 4 | 0.00% | 15 | 22.26 | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.25 | |||
15 | Riley Damiani | Wolves (CAR) | C | 7 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 2 | 50.00% | 1 | 1.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.19 | |||
16 | Henrik Borgstrom | Wolves (CAR) | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0.00% | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | |||
17 | Adam Beckman | Wolves (CAR) | LW | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 4 | 5 | 4 | 0.00% | 0 | 5.92 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
18 | Paul Cotter | Wolves (CAR) | C | 7 | 0 | 0 | 0 | -7 | 12 | 10 | 10 | 14 | 4 | 13 | 0.00% | 6 | 17.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.76% | 0 | 0 | 0.00 | 0 | 0 | -0.42 | |||
Team Total or Average | 126 | 20 | 35 | 55 | -10 | 58 | 10 | 155 | 281 | 98 | 222 | 7.12% | 86 | 16.32 | 5 | 10 | 15 | 217 | 0 | 0 | 0 | 156 | 3 | 0 | 49.53% | 644 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie 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 | Mat Robson | Wolves (CAR) | 7 | 3 | 4 | 0 | 0.919 | 2.86 | 419 | 2 | 1 | 20 | 248 | 0 | 0 | 1 | 0.000 | 0 | 7 | 0 | 1 | 0 | 0 |
Team Total or Average | 7 | 3 | 4 | 0 | 0.919 | 2.86 | 419 | 2 | 1 | 20 | 248 | 0 | 0 | 1 | 0.000 | 0 | 7 | 0 | 1 | 0 | 0 |
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 | 22 | 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 | 22 | 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 | 24 | 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 | 23 | 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 | 22 | 883,889$ | 925,000$ | 863,333$ | 863,333$ | RFA | ||||
Sonny Milano | LW | 27 | 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 |
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1 | Bears | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 35 | 55 | 1 | 1 | 8 | 7 | 5 | 0 | 281 | 86 | 104 | 91 | 0 | 249 | 86 | 60 | 155 | 26 | 5 | 19.23% | 24 | 4 | 83.33% | 0 | 140 | 287 | 48.78% | 127 | 256 | 49.61% | 52 | 101 | 51.49% | 163 | 113 | 172 | 51 | 84 | 40 | 46.9% | 7.1% | 91.6% | 98.7 | DULL |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 35 | 55 | 1 | 1 | 8 | 7 | 5 | 0 | 281 | 86 | 104 | 91 | 0 | 249 | 86 | 60 | 155 | 26 | 5 | 19.23% | 24 | 4 | 83.33% | 0 | 140 | 287 | 48.78% | 127 | 256 | 49.61% | 52 | 101 | 51.49% | 163 | 113 | 172 | 51 | 84 | 40 | 46.9% | 7.1% | 91.6% | 98.7 | DULL | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 35 | 55 | 1 | 1 | 8 | 7 | 5 | 0 | 281 | 86 | 104 | 91 | 0 | 249 | 86 | 60 | 155 | 26 | 5 | 19.23% | 24 | 4 | 83.33% | 0 | 140 | 287 | 48.78% | 127 | 256 | 49.61% | 52 | 101 | 51.49% | 163 | 113 | 172 | 51 | 84 | 40 | 46.9% | 7.1% | 91.6% | 98.7 | DULL | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 35 | 55 | 1 | 1 | 8 | 7 | 5 | 0 | 281 | 86 | 104 | 91 | 0 | 249 | 86 | 60 | 155 | 26 | 5 | 19.23% | 24 | 4 | 83.33% | 0 | 140 | 287 | 48.78% | 127 | 256 | 49.61% | 52 | 101 | 51.49% | 163 | 113 | 172 | 51 | 84 | 40 | 46.9% | 7.1% | 91.6% | 98.7 | DULL | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 35 | 55 | 1 | 1 | 8 | 7 | 5 | 0 | 281 | 86 | 104 | 91 | 0 | 249 | 86 | 60 | 155 | 26 | 5 | 19.23% | 24 | 4 | 83.33% | 0 | 140 | 287 | 48.78% | 127 | 256 | 49.61% | 52 | 101 | 51.49% | 163 | 113 | 172 | 51 | 84 | 40 | 46.9% | 7.1% | 91.6% | 98.7 | DULL |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 287 |
Neutral Zone Start | 101 |
Defensive Zone Start | 256 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 319 |
Faceoffs Lost | 325 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 27.1 | 20.31 |
3rd Period | 40.1 | 30.68 |
Overtime | 40.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 14 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 26 |
---|---|
PP Goal | 5 |
PK Attempt | 24 |
PK Goal Against | 4 |
Home | |
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Shots For | 40.1 |
Shots Against | 35.6 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 22.1 |
Shots Blocked | 12.3 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Apr 19 | CHW | @ | HER | CHW1,HER0 | RECAP | |||||||||
Fri, Apr 21 | CHW | @ | HER | CHW4,HER5 | RECAP | |||||||||
Sun, Apr 23 | HER | @ | CHW | HER4,CHW2 | RECAP | |||||||||
Tue, Apr 25 | HER | @ | CHW | HER3,CHW1 | RECAP | |||||||||
Thu, Apr 27 | CHW | @ | HER | CHW5,HER4 | RECAP | |||||||||
Sat, Apr 29 | HER | @ | CHW | HER1,CHW4 | RECAP | |||||||||
Mon, May 1 | CHW | @ | HER | CHW3,HER4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,885,410$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Chicago | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 18$ | $ | $ | $ |
Attendance | 4935 | 2479 | |||
Attendance PCT | 82.25% | 82.63% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 2471 - 82.38% | 107,949$ | 323,847$ | 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 |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 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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