Penguins | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : radapex | Morale : 40 | Team Overall : 59 Next Games #11 vs Roadrunners |
|
|
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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Luke Kunin (A) | 11 | X | 100.00 | 96 | 59 | 81 | 65 | 83 | 82 | 82 | 60 | 65 | 63 | 65 | 65 | 63 | 57 | 69 | 0 | 40 | 64 | 0 | 24 | 1 | 2,500,000$ | ||||
2 | Kaapo Kakko | 24 | X | 100.00 | 51 | 46 | 89 | 65 | 86 | 86 | 67 | 64 | 49 | 69 | 65 | 64 | 72 | 57 | 65 | 0 | 40 | 62 | 0 | 21 | 1 | 2,700,000$ | ||||
3 | Nick Cousins (A) | 25 | X | 100.00 | 70 | 48 | 97 | 65 | 81 | 80 | 73 | 60 | 57 | 66 | 63 | 63 | 62 | 63 | 71 | 0 | 40 | 62 | 0 | 29 | 2 | 1,000,000$ | ||||
4 | Jack Quinn (R) | 22 | X | 100.00 | 50 | 46 | 76 | 65 | 80 | 60 | 43 | 73 | 40 | 73 | 71 | 60 | 66 | 53 | 62 | 0 | 40 | 61 | 0 | 21 | 3 | 850,000$ | ||||
5 | Jujhar Khaira | 54 | X | 100.00 | 99 | 53 | 89 | 59 | 88 | 82 | 55 | 55 | 78 | 58 | 62 | 67 | 61 | 56 | 69 | 0 | 40 | 61 | 0 | 28 | 3 | 1,250,000$ | ||||
6 | Daniel Sprong | 91 | X | 100.00 | 59 | 43 | 89 | 65 | 82 | 80 | 71 | 59 | 46 | 63 | 68 | 62 | 76 | 53 | 63 | 0 | 40 | 61 | 0 | 25 | 1 | 1,500,000$ | ||||
7 | Yegor Afanasyev (R) | 70 | X | 100.00 | 50 | 52 | 75 | 52 | 87 | 60 | 52 | 57 | 40 | 64 | 59 | 62 | 60 | 52 | 62 | 0 | 40 | 56 | 0 | 21 | 3 | 850,000$ | ||||
8 | Kevin Stenlund | 82 | X | 100.00 | 59 | 48 | 76 | 53 | 88 | 60 | 42 | 58 | 67 | 65 | 60 | 58 | 60 | 54 | 64 | 0 | 40 | 56 | 0 | 26 | 1 | 800,000$ | ||||
9 | Nick Pastujov (R) | 36 | X | X | X | 100.00 | 50 | 51 | 75 | 52 | 84 | 60 | 40 | 53 | 60 | 61 | 59 | 62 | 60 | 52 | 62 | 0 | 40 | 55 | 0 | 24 | 1 | 750,000$ | ||
10 | Kole Sherwood | 77 | X | 100.00 | 98 | 48 | 75 | 52 | 86 | 60 | 42 | 52 | 40 | 61 | 58 | 55 | 59 | 54 | 67 | 0 | 40 | 55 | 0 | 25 | 1 | 800,000$ | ||||
11 | Akil Thomas (R) | 86 | X | X | X | 100.00 | 50 | 44 | 75 | 57 | 78 | 60 | 18 | 55 | 40 | 60 | 60 | 62 | 60 | 52 | 62 | 0 | 40 | 54 | 0 | 22 | 2 | 925,000$ | ||
12 | Nicholas Caamano | 10 | X | 100.00 | 50 | 45 | 75 | 53 | 85 | 60 | 25 | 54 | 40 | 61 | 59 | 62 | 60 | 52 | 62 | 0 | 40 | 54 | 0 | 24 | 1 | 800,000$ | ||||
13 | Jordie Benn | 8 | X | 100.00 | 76 | 44 | 86 | 61 | 84 | 76 | 55 | 68 | 20 | 66 | 59 | 72 | 60 | 63 | 73 | 0 | 40 | 64 | 0 | 35 | 1 | 2,000,000$ | ||||
14 | Kyle Burroughs | 44 | X | 100.00 | 97 | 53 | 82 | 61 | 82 | 73 | 53 | 69 | 20 | 63 | 59 | 73 | 60 | 51 | 64 | 0 | 40 | 64 | 0 | 27 | 2 | 1,000,000$ | ||||
15 | Tucker Poolman | 5 | X | 100.00 | 64 | 45 | 99 | 58 | 84 | 80 | 59 | 63 | 20 | 61 | 58 | 77 | 59 | 55 | 65 | 0 | 40 | 63 | 0 | 29 | 1 | 1,250,000$ | ||||
16 | Madison Bowey (C) | 4 | X | 100.00 | 90 | 46 | 76 | 56 | 85 | 60 | 47 | 71 | 20 | 65 | 63 | 66 | 62 | 62 | 73 | 0 | 40 | 62 | 0 | 27 | 1 | 750,000$ | ||||
17 | Scott Harrington | 93 | X | 100.00 | 73 | 51 | 76 | 52 | 85 | 60 | 48 | 65 | 20 | 60 | 59 | 68 | 60 | 65 | 72 | 0 | 40 | 60 | 0 | 29 | 1 | 1,000,000$ | ||||
18 | Isaak Phillips (R) | 41 | X | 100.00 | 61 | 43 | 76 | 55 | 83 | 60 | 53 | 67 | 20 | 63 | 63 | 66 | 62 | 52 | 62 | 0 | 40 | 59 | 0 | 21 | 3 | 850,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Dillon Hamaliuk (R) | 85 | X | 100.00 | 50 | 50 | 75 | 52 | 85 | 60 | 22 | 52 | 40 | 61 | 56 | 62 | 58 | 51 | 61 | 0 | 40 | 53 | 0 | 21 | 3 | 850,000$ | ||||
2 | Timur Ibragimov (R) | 67 | X | X | X | 100.00 | 50 | 41 | 75 | 54 | 79 | 60 | 10 | 50 | 40 | 59 | 55 | 62 | 58 | 51 | 61 | 0 | 40 | 52 | 0 | 21 | 3 | 850,000$ | ||
3 | Dillon Simpson | 18 | X | 100.00 | 50 | 43 | 75 | 54 | 83 | 60 | 45 | 66 | 20 | 62 | 60 | 68 | 60 | 60 | 70 | 0 | 40 | 58 | 0 | 29 | 1 | 750,000$ | ||||
4 | Brandon Davidson | 88 | X | 100.00 | 50 | 62 | 75 | 50 | 86 | 60 | 10 | 66 | 20 | 63 | 57 | 68 | 59 | 61 | 68 | 0 | 40 | 56 | 0 | 31 | 1 | 800,000$ | ||||
5 | Drew Helleson (R) | 40 | X | 100.00 | 50 | 44 | 75 | 52 | 83 | 60 | 10 | 64 | 20 | 61 | 56 | 68 | 58 | 51 | 61 | 0 | 40 | 55 | 0 | 21 | 3 | 850,000$ | ||||
TEAM AVERAGE | 100.00 | 65 | 48 | 80 | 57 | 84 | 67 | 44 | 61 | 38 | 63 | 61 | 65 | 62 | 56 | 66 | 0 | 40 | 59 |
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 | Lukas Dostal (R) | 100.00 | 69 | 75 | 72 | 85 | 73 | 73 | 71 | 74 | 74 | 71 | 72 | 66 | 67 | 0 | 40 | 71 | 0 | |
2 | Arvid Soderblom (R) | 100.00 | 64 | 70 | 67 | 86 | 68 | 68 | 66 | 69 | 68 | 65 | 67 | 68 | 67 | 0 | 40 | 67 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 73 | 70 | 86 | 71 | 71 | 69 | 72 | 71 | 68 | 70 | 67 | 67 | 0 | 40 | 69 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Stevens | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 55 | 8 | 500,000$ |
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 |
---|
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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | Penguins (PIT) | C/LW/RW | 22 | 1/2/2000 | Yes | 177 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Arvid Soderblom | Penguins (PIT) | G | 23 | 7/1/1999 | Yes | 179 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Brandon Davidson | Penguins (PIT) | D | 31 | 8/21/1991 | No | 209 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Link | |||||||||
Daniel Sprong (1 Way Contract) | Penguins (PIT) | RW | 25 | 3/17/1997 | No | 193 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,484,127$ | 1,500,000$ | 1,484,127$ | 375,000$ | 371,032$ | No | Link | |||||||||
Dillon Hamaliuk | Penguins (PIT) | LW | 21 | 10/30/2000 | Yes | 200 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Dillon Simpson | Penguins (PIT) | D | 29 | 2/10/1993 | No | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Drew Helleson | Penguins (PIT) | D | 21 | 3/26/2001 | Yes | 195 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Isaak Phillips | Penguins (PIT) | D | 21 | 9/28/2001 | Yes | 193 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Jack Quinn | Penguins (PIT) | RW | 21 | 9/19/2001 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Jordie Benn (1 Way Contract) | Penguins (PIT) | D | 35 | 7/26/1987 | No | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 2,000,000$ | 1,978,836$ | 2,000,000$ | 1,978,836$ | 875,000$ | 865,741$ | No | Link | |||||||||
Jujhar Khaira (1 Way Contract) | Penguins (PIT) | LW | 28 | 8/13/1994 | No | 212 Lbs | 6 ft4 | Yes | No | No | 3 | Pro & Farm | 1,250,000$ | 1,236,772$ | 1,250,000$ | 1,236,772$ | 125,000$ | 123,677$ | No | 1,250,000$ | 1,250,000$ | Link | |||||||
Kaapo Kakko | Penguins (PIT) | RW | 21 | 2/13/2001 | No | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 2,700,000$ | 2,671,429$ | 2,700,000$ | 2,671,429$ | 0$ | 0$ | No | Link | |||||||||
Kevin Stenlund | Penguins (PIT) | C | 26 | 9/20/1996 | No | 211 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Link | |||||||||
Kole Sherwood | Penguins (PIT) | RW | 25 | 1/22/1997 | No | 212 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Link | |||||||||
Kyle Burroughs | Penguins (PIT) | D | 27 | 7/12/1995 | No | 193 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Link | ||||||||
Lukas Dostal | Penguins (PIT) | G | 22 | 6/22/2000 | Yes | 174 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Luke Kunin (1 Way Contract) | Penguins (PIT) | C | 24 | 12/4/1997 | No | 197 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 2,500,000$ | 2,473,545$ | 2,500,000$ | 2,473,545$ | 1,375,000$ | 1,360,450$ | No | Link | |||||||||
Madison Bowey | Penguins (PIT) | D | 27 | 4/22/1995 | No | 202 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Nicholas Caamano | Penguins (PIT) | RW | 24 | 9/7/1998 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Link | |||||||||
Nick Cousins | Penguins (PIT) | C | 29 | 7/20/1993 | No | 192 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Link | ||||||||
Nick Pastujov | Penguins (PIT) | C/LW/RW | 24 | 1/21/1998 | Yes | 205 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Scott Harrington | Penguins (PIT) | D | 29 | 3/10/1993 | No | 204 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | Link | |||||||||
Timur Ibragimov | Penguins (PIT) | C/LW/RW | 21 | 10/12/2000 | Yes | 182 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Tucker Poolman (1 Way Contract) | Penguins (PIT) | D | 29 | 6/8/1993 | No | 199 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 1,236,772$ | 1,250,000$ | 1,236,772$ | 125,000$ | 123,677$ | No | Link | |||||||||
Yegor Afanasyev | Penguins (PIT) | LW | 21 | 1/23/2001 | Yes | 208 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
25 | 25.04 | 197 Lbs | 6 ft2 | 1.76 | 1,101,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kaapo Kakko | Luke Kunin | Jack Quinn | 33 | 1 | 2 | 2 |
2 | Jujhar Khaira | Nick Cousins | Daniel Sprong | 30 | 1 | 2 | 2 |
3 | Yegor Afanasyev | Kevin Stenlund | Kole Sherwood | 25 | 1 | 2 | 2 |
4 | Nicholas Caamano | Nick Pastujov | Akil Thomas | 12 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jordie Benn | Kyle Burroughs | 40 | 1 | 2 | 2 | |
2 | Tucker Poolman | Madison Bowey | 33 | 1 | 2 | 2 | |
3 | Isaak Phillips | Scott Harrington | 27 | 1 | 2 | 2 | |
4 | Jordie Benn | Kyle Burroughs | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kaapo Kakko | Luke Kunin | Jack Quinn | 60 | 1 | 2 | 2 |
2 | Jujhar Khaira | Nick Cousins | Daniel Sprong | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jordie Benn | Madison Bowey | 60 | 1 | 2 | 2 | |
2 | Kyle Burroughs | Isaak Phillips | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Pastujov | Yegor Afanasyev | 50 | 1 | 2 | 2 |
2 | Kevin Stenlund | Akil Thomas | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Tucker Poolman | Kyle Burroughs | 50 | 1 | 2 | 2 |
2 | Jordie Benn | Scott Harrington | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Pastujov | 50 | 1 | 2 | 2 | Tucker Poolman | Kyle Burroughs | 50 | 1 | 2 | 2 |
2 | Kevin Stenlund | 50 | 1 | 2 | 2 | Jordie Benn | Scott Harrington | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Luke Kunin | Jack Quinn | 50 | 1 | 2 | 2 |
2 | Nick Cousins | Kaapo Kakko | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jordie Benn | Kyle Burroughs | 50 | 1 | 2 | 2 |
2 | Tucker Poolman | Madison Bowey | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Kaapo Kakko | Luke Kunin | Jack Quinn | Isaak Phillips | Madison Bowey |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jujhar Khaira | Luke Kunin | Kaapo Kakko | Tucker Poolman | Kyle Burroughs |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jack Quinn, Luke Kunin, Kaapo Kakko | Kevin Stenlund, Akil Thomas | Jujhar Khaira |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Kyle Burroughs, Jordie Benn, Tucker Poolman | Scott Harrington | Madison Bowey, Isaak Phillips |
Penalty Shots |
---|
Daniel Sprong, Kaapo Kakko, Jack Quinn, Luke Kunin, Madison Bowey |
Goalie |
---|
#1 : Lukas Dostal, #2 : Arvid Soderblom |
Custom OT Lines Forwards |
---|
Jack Quinn, Luke Kunin, Kaapo Kakko, Nick Cousins, Daniel Sprong, Jujhar Khaira, Jujhar Khaira, Akil Thomas, Kevin Stenlund, Nicholas Caamano, Yegor Afanasyev |
Custom OT Lines Defensemen |
---|
Kyle Burroughs, Jordie Benn, Tucker Poolman, Madison Bowey, Isaak Phillips |
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 |
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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
---|---|---|---|---|---|---|---|---|---|---|
7 - 2022-09-15 | 11 | Roadrunners | - | Penguins | - | |||||
9 - 2022-09-17 | 31 | Crunch | - | Penguins | - | |||||
11 - 2022-09-19 | 42 | Penguins | - | Rocket | - | |||||
14 - 2022-09-22 | 62 | Reign | - | Penguins | - | |||||
16 - 2022-09-24 | 82 | Penguins | - | Monsters | - | |||||
18 - 2022-09-26 | 94 | Penguins | - | Condors | - | |||||
19 - 2022-09-27 | 104 | Penguins | - | Heat | - | |||||
22 - 2022-09-30 | 125 | Penguins | - | Canucks | - | |||||
23 - 2022-10-01 | 137 | Penguins | - | Firebirds | - | |||||
26 - 2022-10-04 | 147 | Bruins | - | Penguins | - | |||||
27 - 2022-10-05 | 160 | Penguins | - | Americans | - | |||||
30 - 2022-10-08 | 184 | Firebirds | - | Penguins | - | |||||
34 - 2022-10-12 | 208 | Penguins | - | Bears | - | |||||
36 - 2022-10-14 | 221 | Penguins | - | Marlies | - | |||||
37 - 2022-10-15 | 229 | Penguins | - | Rocket | - | |||||
40 - 2022-10-18 | 251 | Marlies | - | Penguins | - | |||||
42 - 2022-10-20 | 268 | Penguins | - | Wild | - | |||||
44 - 2022-10-22 | 276 | Penguins | - | Moose | - | |||||
45 - 2022-10-23 | 290 | Penguins | - | IceHogs | - | |||||
48 - 2022-10-26 | 306 | Heat | - | Penguins | - | |||||
50 - 2022-10-28 | 324 | Penguins | - | Phantoms | - | |||||
51 - 2022-10-29 | 335 | Marlies | - | Penguins | - | |||||
54 - 2022-11-01 | 352 | Wolves | - | Penguins | - | |||||
56 - 2022-11-03 | 368 | Silver Knights | - | Penguins | - | |||||
58 - 2022-11-05 | 384 | Thunderbirds | - | Penguins | - | |||||
61 - 2022-11-08 | 404 | Monsters | - | Penguins | - | |||||
64 - 2022-11-11 | 426 | Penguins | - | Americans | - | |||||
65 - 2022-11-12 | 437 | Americans | - | Penguins | - | |||||
67 - 2022-11-14 | 449 | Stars | - | Penguins | - | |||||
70 - 2022-11-17 | 474 | Penguins | - | Checkers | - | |||||
73 - 2022-11-20 | 498 | Penguins | - | Wolves | - | |||||
75 - 2022-11-22 | 511 | Wolf Pack | - | Penguins | - | |||||
77 - 2022-11-24 | 526 | Wolves | - | Penguins | - | |||||
82 - 2022-11-29 | 550 | Penguins | - | Islanders | - | |||||
83 - 2022-11-30 | 560 | Griffins | - | Penguins | - | |||||
85 - 2022-12-02 | 576 | Comets | - | Penguins | - | |||||
88 - 2022-12-05 | 595 | Penguins | - | Bruins | - | |||||
91 - 2022-12-08 | 620 | Penguins | - | Silver Knights | - | |||||
94 - 2022-12-11 | 640 | Penguins | - | Roadrunners | - | |||||
96 - 2022-12-13 | 652 | Canucks | - | Penguins | - | |||||
99 - 2022-12-16 | 674 | Moose | - | Penguins | - | |||||
100 - 2022-12-17 | 682 | Penguins | - | Wolves | - | |||||
102 - 2022-12-19 | 700 | Gulls | - | Penguins | - | |||||
104 - 2022-12-21 | 712 | Penguins | - | Senators | - | |||||
106 - 2022-12-23 | 730 | Senators | - | Penguins | - | |||||
108 - 2022-12-25 | 746 | Penguins | - | Comets | - | |||||
110 - 2022-12-27 | 756 | Checkers | - | Penguins | - | |||||
112 - 2022-12-29 | 773 | Penguins | - | Bears | - | |||||
114 - 2022-12-31 | 793 | Barracuda | - | Penguins | - | |||||
124 - 2023-01-10 | 813 | Eagles | - | Penguins | - | |||||
127 - 2023-01-13 | 831 | Penguins | - | Gulls | - | |||||
128 - 2023-01-14 | 845 | Penguins | - | Reign | - | |||||
131 - 2023-01-17 | 863 | Penguins | - | Barracuda | - | |||||
134 - 2023-01-20 | 879 | Penguins | - | Islanders | - | |||||
135 - 2023-01-21 | 886 | Comets | - | Penguins | - | |||||
137 - 2023-01-23 | 906 | Islanders | - | Penguins | - | |||||
140 - 2023-01-26 | 922 | Condors | - | Penguins | - | |||||
142 - 2023-01-28 | 943 | Penguins | - | Thunderbirds | - | |||||
143 - 2023-01-29 | 951 | Crunch | - | Penguins | - | |||||
145 - 2023-01-31 | 963 | Penguins | - | Admirals | - | |||||
147 - 2023-02-02 | 977 | Penguins | - | Crunch | - | |||||
149 - 2023-02-04 | 993 | Penguins | - | Checkers | - | |||||
152 - 2023-02-07 | 1013 | Monsters | - | Penguins | - | |||||
154 - 2023-02-09 | 1027 | Islanders | - | Penguins | - | |||||
156 - 2023-02-11 | 1039 | Phantoms | - | Penguins | - | |||||
157 - 2023-02-12 | 1054 | Wolf Pack | - | Penguins | - | |||||
159 - 2023-02-14 | 1064 | Rocket | - | Penguins | - | |||||
161 - 2023-02-16 | 1082 | Penguins | - | Wolf Pack | - | |||||
163 - 2023-02-18 | 1103 | Penguins | - | Wolf Pack | - | |||||
165 - 2023-02-20 | 1115 | Senators | - | Penguins | - | |||||
167 - 2023-02-22 | 1133 | Penguins | - | Eagles | - | |||||
168 - 2023-02-23 | 1143 | Penguins | - | Stars | - | |||||
170 - 2023-02-25 | 1162 | Bears | - | Penguins | - | |||||
173 - 2023-02-28 | 1180 | Penguins | - | Griffins | - | |||||
175 - 2023-03-02 | 1192 | Admirals | - | Penguins | - | |||||
177 - 2023-03-04 | 1205 | Bruins | - | Penguins | - | |||||
178 - 2023-03-05 | 1221 | Phantoms | - | Penguins | - | |||||
180 - 2023-03-07 | 1233 | Penguins | - | Comets | - | |||||
182 - 2023-03-09 | 1244 | Wild | - | Penguins | - | |||||
184 - 2023-03-11 | 1266 | Penguins | - | Griffins | - | |||||
187 - 2023-03-14 | 1286 | IceHogs | - | Penguins | - | |||||
189 - 2023-03-16 | 1303 | Penguins | - | Monsters | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
20,132$ | 1,902,500$ | 1,902,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
10,066$ | 20,132$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 187 | 10,066$ | 1,882,342$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 38 | 31 | 0 | 4 | 3 | 3 | 3 | 212 | 169 | 43 | 41 | 16 | 18 | 0 | 1 | 3 | 2 | 1 | 109 | 97 | 12 | 41 | 22 | 13 | 0 | 3 | 0 | 1 | 2 | 103 | 72 | 31 | 96 | 212 | 353 | 565 | 3 | 9 | 45 | 72 | 88 | 10 | 3027 | 962 | 1026 | 1014 | 43 | 2378 | 855 | 271 | 2096 | 108 | 30 | 27.78% | 124 | 38 | 69.35% | 3 | 982 | 1837 | 53.46% | 812 | 1529 | 53.11% | 613 | 1058 | 57.94% | 1805 | 1018 | 1531 | 775 | 1628 | 782 |
11 | 82 | 38 | 31 | 0 | 4 | 3 | 3 | 3 | 212 | 169 | 43 | 41 | 16 | 18 | 0 | 1 | 3 | 2 | 1 | 109 | 97 | 12 | 41 | 22 | 13 | 0 | 3 | 0 | 1 | 2 | 103 | 72 | 31 | 96 | 212 | 353 | 565 | 3 | 9 | 45 | 72 | 88 | 10 | 3027 | 962 | 1026 | 1014 | 43 | 2378 | 855 | 271 | 2096 | 108 | 30 | 27.78% | 124 | 38 | 69.35% | 3 | 982 | 1837 | 53.46% | 812 | 1529 | 53.11% | 613 | 1058 | 57.94% | 1805 | 1018 | 1531 | 775 | 1628 | 782 |
Total Regular Season | 164 | 76 | 62 | 0 | 8 | 6 | 6 | 6 | 424 | 338 | 86 | 82 | 32 | 36 | 0 | 2 | 6 | 4 | 2 | 218 | 194 | 24 | 82 | 44 | 26 | 0 | 6 | 0 | 2 | 4 | 206 | 144 | 62 | 192 | 424 | 706 | 1130 | 6 | 18 | 90 | 144 | 176 | 20 | 6054 | 1924 | 2052 | 2028 | 86 | 4756 | 1710 | 542 | 4192 | 216 | 60 | 27.78% | 248 | 76 | 69.35% | 6 | 1964 | 3674 | 53.46% | 1624 | 3058 | 53.11% | 1226 | 2116 | 57.94% | 3611 | 2037 | 3063 | 1551 | 3256 | 1565 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 2 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 3 | 1 | 193 | 65 | 71 | 40 | 17 | 215 | 73 | 22 | 117 | 3 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 55 | 114 | 48.25% | 61 | 123 | 49.59% | 36 | 73 | 49.32% | 106 | 60 | 117 | 48 | 94 | 46 |
11 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 2 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 3 | 1 | 193 | 65 | 71 | 40 | 17 | 215 | 73 | 22 | 117 | 3 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 55 | 114 | 48.25% | 61 | 123 | 49.59% | 36 | 73 | 49.32% | 106 | 60 | 117 | 48 | 94 | 46 |
Total Playoff | 10 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 18 | 34 | -16 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 8 | 22 | -14 | 4 | 18 | 28 | 46 | 0 | 0 | 4 | 6 | 6 | 2 | 386 | 130 | 142 | 80 | 34 | 430 | 146 | 44 | 234 | 6 | 0 | 0.00% | 22 | 8 | 63.64% | 0 | 110 | 228 | 48.25% | 122 | 246 | 49.59% | 72 | 146 | 49.32% | 213 | 121 | 235 | 97 | 189 | 92 |