Chicago Wolves | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Francis Lachance | Morale : 99 | Team Overall : 64 |
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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 | 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 | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Todd Bugess (R) | X | X | 100.00 | 69 | 34 | 74 | 87 | 75 | 75 | 79 | 78 | 86 | 73 | 73 | 65 | 65 | 64 | 61 | 55 | 99 | 69 | 0 | 27 | 1 | 1,150,000$ | |||
2 | Adam Lowry | X | 100.00 | 80 | 48 | 71 | 85 | 76 | 83 | 83 | 71 | 51 | 67 | 71 | 65 | 65 | 79 | 86 | 43 | 99 | 69 | 0 | 30 | 1 | 850,000$ | ||||
3 | Martin Frk | X | 100.00 | 76 | 40 | 75 | 85 | 77 | 83 | 83 | 67 | 52 | 64 | 68 | 68 | 65 | 83 | 72 | 51 | 99 | 68 | 0 | 29 | 2 | 750,000$ | ||||
4 | Filip Sveningsson (R) | X | 100.00 | 80 | 47 | 66 | 87 | 76 | 70 | 74 | 76 | 52 | 66 | 74 | 61 | 68 | 67 | 67 | 49 | 99 | 67 | 0 | 24 | 1 | 700,000$ | ||||
5 | Juraj Slafkovsky (R) | X | 100.00 | 79 | 41 | 74 | 70 | 81 | 68 | 68 | 80 | 63 | 74 | 75 | 72 | 73 | 52 | 51 | 92 | 99 | 67 | 0 | 19 | 2 | 925,000$ | ||||
6 | Nicholas Henry (R) | X | 100.00 | 73 | 36 | 76 | 74 | 75 | 75 | 76 | 72 | 57 | 71 | 71 | 69 | 68 | 60 | 61 | 61 | 99 | 66 | 0 | 24 | 2 | 1,000,000$ | ||||
7 | Artyom Manyukan (R) | X | 100.00 | 61 | 24 | 80 | 87 | 64 | 73 | 75 | 70 | 51 | 65 | 65 | 62 | 65 | 62 | 78 | 48 | 99 | 65 | 0 | 25 | 1 | 505,000$ | ||||
8 | Tyler Soy (R) | X | 100.00 | 54 | 18 | 85 | 83 | 72 | 72 | 79 | 60 | 86 | 56 | 64 | 62 | 68 | 62 | 67 | 44 | 99 | 63 | 0 | 26 | 2 | 510,000$ | ||||
9 | Alex Dostie (R) | X | 100.00 | 54 | 18 | 85 | 83 | 73 | 76 | 79 | 62 | 86 | 58 | 61 | 66 | 63 | 56 | 53 | 57 | 99 | 63 | 0 | 26 | 2 | 600,000$ | ||||
10 | Christopher Lalancette | X | 100.00 | 44 | 11 | 96 | 84 | 74 | 80 | 81 | 59 | 87 | 56 | 59 | 61 | 63 | 64 | 68 | 42 | 99 | 63 | 0 | 29 | 2 | 510,000$ | ||||
11 | Anthony Salinitri | X | 100.00 | 64 | 31 | 75 | 74 | 72 | 65 | 69 | 66 | 77 | 58 | 66 | 61 | 68 | 68 | 72 | 49 | 99 | 62 | 0 | 25 | 1 | 505,000$ | ||||
12 | Marek Tvrdon | X | 100.00 | 56 | 24 | 88 | 82 | 81 | 82 | 82 | 53 | 52 | 49 | 53 | 66 | 63 | 74 | 66 | 40 | 99 | 62 | 0 | 30 | 1 | 510,000$ | ||||
13 | Reid Duke (R) | X | 100.00 | 59 | 28 | 80 | 74 | 76 | 71 | 75 | 60 | 84 | 54 | 62 | 63 | 68 | 74 | 75 | 44 | 99 | 62 | 0 | 27 | 1 | 510,000$ | ||||
14 | Henry Thrun (R) | X | 100.00 | 65 | 32 | 82 | 79 | 77 | 81 | 81 | 65 | 52 | 64 | 54 | 64 | 55 | 47 | 57 | 64 | 99 | 65 | 0 | 22 | 2 | 725,000$ | ||||
15 | Mitchell Wheaton | X | 100.00 | 58 | 23 | 94 | 75 | 83 | 82 | 83 | 56 | 54 | 54 | 53 | 71 | 55 | 60 | 64 | 41 | 99 | 65 | 0 | 28 | 3 | 880,000$ | ||||
16 | Jakub Votja | X | 100.00 | 71 | 36 | 67 | 73 | 71 | 62 | 62 | 57 | 51 | 64 | 64 | 68 | 63 | 79 | 79 | 20 | 99 | 64 | 0 | 36 | 2 | 500,000$ | ||||
17 | Yann Sauve | X | 100.00 | 51 | 14 | 99 | 87 | 79 | 78 | 77 | 37 | 48 | 36 | 38 | 74 | 48 | 68 | 68 | 25 | 99 | 63 | N | 0 | 33 | 3 | 500,001$ | |||
18 | Will Borgen (R) | X | 100.00 | 59 | 24 | 79 | 76 | 75 | 71 | 75 | 50 | 54 | 47 | 42 | 67 | 50 | 61 | 82 | 51 | 99 | 62 | N | 0 | 26 | 2 | 500,001$ | |||
19 | Luke Mittlestadt (R) | X | 100.00 | 64 | 32 | 76 | 69 | 70 | 70 | 70 | 68 | 50 | 69 | 68 | 63 | 68 | 41 | 50 | 59 | 99 | 62 | 0 | 20 | 3 | 500,000$ | ||||
20 | Matthew Cairns | X | 100.00 | 71 | 35 | 75 | 66 | 76 | 66 | 69 | 48 | 49 | 48 | 48 | 71 | 50 | 49 | 52 | 60 | 99 | 61 | 0 | 25 | 3 | 625,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Cutter Gauthier (R) | X | X | 93.61 | 75 | 34 | 76 | 72 | 77 | 70 | 70 | 70 | 81 | 67 | 74 | 72 | 73 | 36 | 37 | 86 | 99 | 65 | 0 | 19 | 2 | 925,000$ | |||
2 | Connor Carrick | X | 80.08 | 56 | 27 | 87 | 84 | 76 | 86 | 83 | 64 | 56 | 67 | 64 | 64 | 64 | 72 | 86 | 37 | 99 | 67 | 0 | 29 | 2 | 750,000$ | ||||
TEAM AVERAGE | 98.77 | 65 | 30 | 80 | 79 | 75 | 75 | 76 | 63 | 63 | 60 | 62 | 66 | 63 | 63 | 66 | 51 | 99 | 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 | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Frans Tuohimaa | 100.00 | 82 | 85 | 81 | 79 | 92 | 71 | 71 | 76 | 76 | 69 | 65 | 76 | 73 | 34 | 99 | 64 | 0 | 32 | 2 | 1,000,000$ | |
2 | Michael Hrabal (R) | 100.00 | 77 | 75 | 81 | 85 | 78 | 78 | 78 | 78 | 77 | 77 | 78 | 39 | 37 | 82 | 99 | 61 | 0 | 18 | 3 | 650,000$ | |
3 | Topias Leinonen (R) | 100.00 | 74 | 75 | 85 | 85 | 71 | 80 | 80 | 70 | 70 | 72 | 68 | 39 | 38 | 79 | 99 | 59 | 0 | 19 | 2 | 650,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 78 | 82 | 83 | 80 | 76 | 76 | 75 | 74 | 73 | 70 | 51 | 49 | 65 | 99 | 61 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 71 | 93 | 85 | 71 | 90 | 91 | 82 | CAN | 54 | 5 | 250,000$ |
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 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | Type | Current Salary | Salary 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 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Adam Lowry | Chicago Wolves (CAR) | LW | 30 | 1984-10-14 11:57:08 | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 850,000$ | 607,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Alex Dostie | Chicago Wolves (CAR) | C | 26 | 1988-10-09 03:09:13 | Yes | 186 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 600,000$ | 428,571$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Anthony Salinitri | Chicago Wolves (CAR) | C | 25 | 1989-08-31 20:37:59 | No | 186 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 505,000$ | 360,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Artyom Manyukan | Chicago Wolves (CAR) | RW | 25 | 1989-09-04 18:12:38 | Yes | 156 Lbs | 5 ft7 | No | No | N/A | No | No | 1 | Pro & Farm | 505,000$ | 360,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Christopher Lalancette | Chicago Wolves (CAR) | C | 29 | 1985-10-14 12:10:00 | No | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 510,000$ | 364,286$ | 0$ | 0$ | No | 510,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Connor Carrick (Out of Payroll) | Chicago Wolves (CAR) | D | 29 | 1985-10-14 13:08:35 | No | 204 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 535,714$ | 0$ | 0$ | Yes | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Cutter Gauthier (Out of Payroll) | Chicago Wolves (CAR) | C/LW | 19 | 1995-09-01 05:29:56 | Yes | 202 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 660,714$ | 0$ | 0$ | Yes | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Filip Sveningsson | Chicago Wolves (CAR) | LW | 24 | 1990-09-07 20:28:47 | Yes | 193 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 700,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Frans Tuohimaa | Chicago Wolves (CAR) | G | 32 | 1982-10-14 10:43:38 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 1,000,000$ | 714,286$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Henry Thrun | Chicago Wolves (CAR) | D | 22 | 1992-08-31 21:23:33 | Yes | 203 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 725,000$ | 517,857$ | 0$ | 0$ | No | 725,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jakub Votja | Chicago Wolves (CAR) | D | 36 | 1978-08-31 09:15:06 | No | 35 Lbs | 1 ft7 | No | No | N/A | No | No | 2 | Pro & Farm | 500,000$ | 357,143$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Juraj Slafkovsky | Chicago Wolves (CAR) | LW | 19 | 1995-09-01 05:32:03 | Yes | 231 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 660,714$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Luke Mittlestadt | Chicago Wolves (CAR) | D | 20 | 1994-09-09 09:34:46 | Yes | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 500,000$ | 357,143$ | 0$ | 0$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Marek Tvrdon | Chicago Wolves (CAR) | LW | 30 | 1984-10-14 12:51:58 | No | 229 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 510,000$ | 364,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Martin Frk | Chicago Wolves (CAR) | RW | 29 | 1985-10-14 11:36:33 | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 535,714$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Matthew Cairns | Chicago Wolves (CAR) | D | 25 | 1989-08-31 20:26:08 | No | 209 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 625,000$ | 446,429$ | 0$ | 0$ | No | 625,000$ | 625,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Michael Hrabal | Chicago Wolves (CAR) | G | 18 | 1996-09-09 09:36:33 | Yes | 216 Lbs | 6 ft7 | No | No | N/A | No | No | 3 | Pro & Farm | 650,000$ | 464,286$ | 0$ | 0$ | No | 650,000$ | 650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Mitchell Wheaton | Chicago Wolves (CAR) | D | 28 | 1986-10-05 16:05:45 | No | 237 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | Pro & Farm | 880,000$ | 628,571$ | 0$ | 0$ | No | 880,000$ | 880,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Nicholas Henry | Chicago Wolves (CAR) | RW | 24 | 1990-10-04 05:54:13 | Yes | 202 Lbs | 5 ft11 | No | No | Trade | 2024-01-05 | No | No | 2 | Pro & Farm | 1,000,000$ | 714,286$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Reid Duke | Chicago Wolves (CAR) | C | 27 | 1987-09-07 20:29:46 | Yes | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 510,000$ | 364,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Todd Bugess | Chicago Wolves (CAR) | C/RW | 27 | 1987-10-09 01:44:39 | Yes | 189 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 1,150,000$ | 821,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Topias Leinonen | Chicago Wolves (CAR) | G | 19 | 1995-09-01 05:34:07 | Yes | 235 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | Pro & Farm | 650,000$ | 464,286$ | 0$ | 0$ | No | 650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyler Soy | Chicago Wolves (CAR) | C | 26 | 1988-10-09 02:32:47 | Yes | 183 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 510,000$ | 364,286$ | 0$ | 0$ | No | 510,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Will Borgen | Chicago Wolves (CAR) | D | 26 | 1988-09-04 18:41:54 | Yes | 200 Lbs | 6 ft2 | Yes | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 357,144$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | |||
Yann Sauve | Chicago Wolves (CAR) | D | 33 | 1981-08-06 20:38:02 | No | 227 Lbs | 6 ft2 | Yes | No | N/A | No | No | 3 | Pro & Farm | 500,001$ | 357,144$ | 0$ | 0$ | No | 500,001$ | 500,001$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
25 | 25.92 | 196 Lbs | 6 ft0 | 1.92 | 689,200$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Todd Bugess | Nicholas Henry | Adam Lowry | 40 | 1 | 2 | 2 |
2 | Filip Sveningsson | Martin Frk | Tyler Soy | 30 | 1 | 2 | 2 |
3 | Juraj Slafkovsky | Christopher Lalancette | Nicholas Henry | 20 | 1 | 2 | 2 |
4 | Marek Tvrdon | Alex Dostie | Artyom Manyukan | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jakub Votja | Henry Thrun | 40 | 1 | 2 | 2 | |
2 | Mitchell Wheaton | Yann Sauve | 30 | 1 | 2 | 2 | |
3 | Mitchell Wheaton | Will Borgen | 20 | 1 | 2 | 2 | |
4 | Matthew Cairns | Luke Mittlestadt | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Reid Duke | Tyler Soy | Nicholas Henry | 60 | 1 | 2 | 2 |
2 | Todd Bugess | Adam Lowry | Anthony Salinitri | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Will Borgen | Henry Thrun | 60 | 1 | 2 | 2 | |
2 | Matthew Cairns | Mitchell Wheaton | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Tyler Soy | Reid Duke | 60 | 1 | 2 | 2 |
2 | Nicholas Henry | Anthony Salinitri | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Matthew Cairns | Will Borgen | 60 | 1 | 2 | 2 |
2 | Mitchell Wheaton | Henry Thrun | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Anthony Salinitri | 60 | 1 | 2 | 2 | Matthew Cairns | Henry Thrun | 60 | 1 | 2 | 2 |
2 | Tyler Soy | 40 | 1 | 2 | 2 | Will Borgen | Mitchell Wheaton | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Anthony Salinitri | Todd Bugess | 60 | 1 | 2 | 2 |
2 | Tyler Soy | Reid Duke | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Will Borgen | Matthew Cairns | 60 | 1 | 2 | 2 |
2 | Henry Thrun | Mitchell Wheaton | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nicholas Henry | Todd Bugess | Adam Lowry | Mitchell Wheaton | Henry Thrun |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nicholas Henry | Todd Bugess | Adam Lowry | Mitchell Wheaton | Henry Thrun |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Tyler Soy, Reid Duke, Anthony Salinitri | Tyler Soy, Reid Duke | Anthony Salinitri |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Henry Thrun, Will Borgen, Matthew Cairns | Will Borgen | Will Borgen, Matthew Cairns |
Penalty Shots |
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Tyler Soy, Anthony Salinitri, Reid Duke, Adam Lowry , Nicholas Henry |
Goalie |
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#1 : Frans Tuohimaa , #2 : Michael Hrabal, #3 : Topias Leinonen |
Custom OT Lines Forwards |
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Anthony Salinitri, Adam Lowry , Todd Bugess, Tyler Soy, Reid Duke, Nicholas Henry, Nicholas Henry, Martin Frk , Filip Sveningsson, Christopher Lalancette , Alex Dostie |
Custom OT Lines Defensemen |
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Will Borgen, Matthew Cairns, Luke Mittlestadt, Henry Thrun, Mitchell Wheaton |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 5000 | 5000 |
Ticket Price | 35 | 15 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 10000 | 110 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 3,111,000$ | 3,111,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 10 | 0$ | 0$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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