Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brooks Macek | X | X | 100.00 | 51 | 35 | 93 | 65 | 57 | 92 | 89 | 64 | 70 | 63 | 62 | 57 | 63 | 73 | 67 | 58 | 75 | 63 | 0 | |||
2 | Matt Puempel | X | X | X | 100.00 | 62 | 45 | 89 | 64 | 78 | 82 | 79 | 62 | 57 | 61 | 61 | 63 | 65 | 73 | 67 | 69 | 75 | 63 | 0 | ||
3 | Anthony Angello | X | 100.00 | 68 | 50 | 86 | 59 | 91 | 78 | 79 | 58 | 53 | 57 | 60 | 61 | 58 | 67 | 64 | 53 | 75 | 62 | 0 | ||||
4 | Tomas Hyka | X | X | 100.00 | 52 | 35 | 93 | 63 | 65 | 78 | 65 | 62 | 56 | 64 | 61 | 58 | 59 | 71 | 66 | 53 | 75 | 62 | 0 | |||
5 | Mike Vecchione | X | X | 100.00 | 55 | 47 | 89 | 60 | 69 | 88 | 89 | 61 | 66 | 58 | 59 | 56 | 61 | 73 | 67 | 58 | 75 | 61 | 0 | |||
6 | Luke Philp (R) | X | 100.00 | 54 | 42 | 85 | 60 | 59 | 85 | 84 | 58 | 64 | 55 | 61 | 53 | 59 | 69 | 65 | 62 | 75 | 60 | 0 | ||||
7 | Philipp Kurashev | X | 100.00 | 58 | 41 | 88 | 61 | 72 | 78 | 77 | 59 | 71 | 60 | 56 | 59 | 60 | 61 | 63 | 69 | 75 | 60 | 0 | ||||
8 | Henrik Samuelsson | X | X | X | 100.00 | 73 | 39 | 83 | 54 | 87 | 83 | 77 | 53 | 59 | 53 | 51 | 58 | 53 | 69 | 65 | 77 | 75 | 59 | 0 | ||
9 | Adam Clendening | X | 100.00 | 59 | 50 | 81 | 63 | 72 | 81 | 77 | 62 | 30 | 64 | 58 | 63 | 54 | 75 | 68 | 63 | 75 | 63 | 0 | ||||
10 | Colton White | X | 100.00 | 63 | 43 | 87 | 62 | 74 | 81 | 78 | 61 | 30 | 59 | 57 | 58 | 53 | 65 | 63 | 62 | 75 | 61 | 0 | ||||
11 | Kristians Rubins | X | 100.00 | 78 | 45 | 82 | 57 | 94 | 76 | 75 | 56 | 30 | 55 | 51 | 60 | 45 | 67 | 64 | 61 | 75 | 60 | 0 | ||||
12 | Peter Stoykewych | X | 100.00 | 62 | 45 | 85 | 56 | 78 | 80 | 77 | 54 | 30 | 53 | 52 | 55 | 45 | 75 | 78 | 57 | 75 | 59 | 0 | ||||
13 | Hubert Labrie | X | 100.00 | 53 | 49 | 82 | 55 | 68 | 86 | 87 | 56 | 30 | 54 | 50 | 57 | 45 | 77 | 69 | 56 | 75 | 58 | 0 | ||||
14 | Joseph Cecconi (R) | X | 100.00 | 68 | 45 | 89 | 54 | 82 | 85 | 87 | 53 | 30 | 52 | 50 | 56 | 45 | 64 | 60 | 57 | 75 | 58 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 61 | 44 | 87 | 60 | 75 | 82 | 80 | 59 | 48 | 58 | 56 | 58 | 55 | 70 | 66 | 61 | 75 | 61 |
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 | Scott Wedgewood | 100.00 | 69 | 85 | 83 | 80 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 75 | 81 | 53 | 75 | 63 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 85 | 83 | 80 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 75 | 81 | 53 | 75 | 63 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ian Laperriere | 69 | 70 | 68 | 64 | 69 | 64 | 79 | CAN | 46 | 1 | 2,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Puempel | Barracuda (SJS) | C/LW/RW | 50 | 27 | 33 | 60 | 0 | 24 | 0 | 160 | 235 | 258 | 67 | 152 | 10.47% | 28 | 1228 | 24.57 | 3 | 8 | 11 | 28 | 109 | 0 | 0 | 0 | 3 | 141 | 3 | 1 | 50.06% | 1748 | 0 | 0 | 0 | 0 | 0.98 | 0 | 3 | 0 | 0 | 0 | 4 | 4 | 2 |
2 | Brooks Macek | Barracuda (SJS) | C/RW | 50 | 18 | 38 | 56 | 1 | 12 | 0 | 53 | 125 | 220 | 70 | 168 | 8.18% | 22 | 1240 | 24.81 | 5 | 9 | 14 | 27 | 109 | 0 | 0 | 0 | 5 | 155 | 0 | 0 | 57.14% | 119 | 0 | 0 | 0 | 0 | 0.90 | 1 | 3 | 0 | 0 | 0 | 4 | 5 | 1 |
3 | Tomas Hyka | Barracuda (SJS) | LW/RW | 50 | 23 | 33 | 56 | -2 | 18 | 0 | 54 | 86 | 177 | 58 | 130 | 12.99% | 7 | 997 | 19.95 | 6 | 8 | 14 | 22 | 109 | 0 | 0 | 0 | 0 | 8 | 2 | 0 | 53.03% | 66 | 0 | 0 | 0 | 1 | 1.12 | 1 | 1 | 0 | 0 | 0 | 3 | 4 | 3 |
4 | Mike Vecchione | Barracuda (SJS) | C/RW | 50 | 16 | 29 | 45 | -10 | 8 | 0 | 25 | 190 | 229 | 60 | 195 | 6.99% | 14 | 1046 | 20.92 | 3 | 6 | 9 | 37 | 116 | 0 | 0 | 0 | 0 | 38 | 1 | 0 | 54.91% | 1313 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
5 | Henrik Samuelsson | Barracuda (SJS) | C/LW/RW | 50 | 21 | 19 | 40 | -9 | 38 | 0 | 167 | 97 | 189 | 62 | 116 | 11.11% | 14 | 1000 | 20.02 | 2 | 8 | 10 | 33 | 115 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 51.43% | 70 | 0 | 0 | 0 | 1 | 0.80 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 |
6 | Anthony Angello | Barracuda (SJS) | RW | 50 | 13 | 25 | 38 | -1 | 29 | 5 | 108 | 63 | 138 | 39 | 109 | 9.42% | 11 | 732 | 14.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0 | 0 | 46.51% | 43 | 0 | 0 | 0 | 0 | 1.04 | 0 | 2 | 0 | 0 | 1 | 2 | 2 | 4 |
7 | Colton White | Barracuda (SJS) | D | 50 | 6 | 28 | 34 | 3 | 31 | 5 | 26 | 62 | 75 | 14 | 36 | 8.00% | 51 | 849 | 16.99 | 2 | 3 | 5 | 31 | 59 | 0 | 0 | 0 | 0 | 51 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
8 | Adam Clendening | Barracuda (SJS) | D | 30 | 4 | 25 | 29 | -9 | 18 | 0 | 55 | 58 | 60 | 28 | 52 | 6.67% | 58 | 716 | 23.90 | 2 | 7 | 9 | 21 | 71 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9 | Luke Philp | Barracuda (SJS) | C | 50 | 10 | 18 | 28 | 0 | 8 | 0 | 28 | 101 | 120 | 26 | 72 | 8.33% | 12 | 680 | 13.62 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 5 | 1 | 1 | 48.68% | 908 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
10 | Kristians Rubins | Barracuda (SJS) | D | 50 | 7 | 20 | 27 | 1 | 40 | 10 | 128 | 45 | 52 | 16 | 49 | 13.46% | 50 | 855 | 17.11 | 1 | 3 | 4 | 18 | 60 | 0 | 0 | 0 | 0 | 48 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 3 |
11 | Philipp Kurashev | Barracuda (SJS) | C | 50 | 9 | 15 | 24 | 2 | 11 | 5 | 51 | 84 | 114 | 48 | 76 | 7.89% | 9 | 729 | 14.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.14% | 175 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
12 | Peter Stoykewych | Barracuda (SJS) | D | 50 | 3 | 13 | 16 | 0 | 8 | 0 | 48 | 26 | 28 | 8 | 18 | 10.71% | 24 | 530 | 10.62 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
13 | Joseph Cecconi | Barracuda (SJS) | D | 50 | 6 | 10 | 16 | 1 | 35 | 5 | 58 | 19 | 30 | 5 | 12 | 20.00% | 45 | 529 | 10.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
14 | David Gustafsson | Sharks | C | 33 | 4 | 5 | 9 | -3 | 0 | 0 | 7 | 21 | 32 | 6 | 25 | 12.50% | 3 | 266 | 8.08 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 57.69% | 52 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Hubert Labrie | Barracuda (SJS) | D | 50 | 0 | 5 | 5 | -8 | 4 | 0 | 27 | 19 | 12 | 2 | 13 | 0.00% | 25 | 260 | 5.20 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Mario Ferraro | Sharks | D | 3 | 0 | 0 | 0 | -4 | 4 | 0 | 20 | 5 | 4 | 2 | 3 | 0.00% | 4 | 76 | 25.62 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 716 | 167 | 316 | 483 | -38 | 288 | 30 | 1015 | 1236 | 1738 | 511 | 1226 | 9.61% | 377 | 11742 | 16.40 | 24 | 52 | 76 | 223 | 765 | 0 | 0 | 0 | 8 | 609 | 14 | 6 | 51.94% | 4494 | 0 | 0 | 0 | 2 | 0.82 | 2 | 9 | 2 | 0 | 4 | 19 | 19 | 24 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening | D | 27 | 1992-10-26 | No | 189 Lbs | 6 ft0 | No | No | No | 4 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link / NHL Link | |
Anthony Angello | RW | 24 | 1996-03-06 | No | 210 Lbs | 6 ft5 | No | No | No | 2 | RFA | Pro & Farm | 833,750$ | 0$ | 0$ | No | Link / NHL Link | |
Brooks Macek | C/RW | 28 | 1992-05-15 | No | 180 Lbs | 5 ft1 | No | No | No | 1 | UFA | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link / NHL Link | |
Colton White | D | 23 | 1997-05-03 | No | 185 Lbs | 6 ft1 | No | No | No | 2 | RFA | Pro & Farm | 728,333$ | 0$ | 0$ | No | Link / NHL Link | |
Henrik Samuelsson | C/LW/RW | 26 | 1994-02-07 | No | 219 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link / NHL Link | |
Hubert Labrie | D | 29 | 1991-07-12 | No | 180 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link / NHL Link | |
Joseph Cecconi | D | 23 | 1997-05-23 | Yes | 210 Lbs | 6 ft2 | No | No | No | 2 | RFA | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |
Kristians Rubins | D | 23 | 1996-12-11 | No | 221 Lbs | 6 ft5 | No | No | No | 2 | RFA | Pro & Farm | 785,000$ | 0$ | 0$ | No | Link / NHL Link | |
Luke Philp | C | 24 | 1995-11-06 | Yes | 181 Lbs | 5 ft1 | No | No | No | 2 | RFA | Pro & Farm | 817,500$ | 0$ | 0$ | No | Link / NHL Link | |
Matt Puempel | C/LW/RW | 27 | 1993-01-24 | No | 201 Lbs | 6 ft1 | No | No | No | 1 | RFA | Pro & Farm | 725,000$ | 0$ | 0$ | No | Link / NHL Link | |
Mike Vecchione | C/RW | 27 | 1993-02-25 | No | 194 Lbs | 5 ft10 | No | No | No | 1 | RFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link / NHL Link | |
Peter Stoykewych | D | 28 | 1992-07-14 | No | 190 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link / NHL Link | |
Philipp Kurashev | C | 20 | 1999-10-12 | No | 190 Lbs | 6 ft0 | No | No | No | 2 | ELC | Pro & Farm | 842,500$ | 0$ | 0$ | No | Link / NHL Link | |
Scott Wedgewood | G | 28 | 1992-08-14 | No | 211 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 600,000$ | 0$ | 0$ | No | Link / NHL Link | |
Tomas Hyka | LW/RW | 27 | 1993-03-23 | No | 160 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 710,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
15 | 25.60 | 195 Lbs | 6 ft0 | 1.80 | 744,472$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Tomas Hyka | Matt Puempel | Brooks Macek | 40 | 1 | 2 | 2 |
2 | Henrik Samuelsson | Mike Vecchione | 30 | 1 | 2 | 2 | |
3 | Philipp Kurashev | Luke Philp | Anthony Angello | 20 | 1 | 2 | 2 |
4 | Matt Puempel | Philipp Kurashev | Brooks Macek | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | Colton White | Kristians Rubins | 30 | 1 | 2 | 2 | |
3 | Peter Stoykewych | Joseph Cecconi | 20 | 1 | 2 | 2 | |
4 | Hubert Labrie | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Tomas Hyka | Matt Puempel | Brooks Macek | 60 | 1 | 2 | 2 |
2 | Henrik Samuelsson | Mike Vecchione | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Colton White | Kristians Rubins | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Matt Puempel | Brooks Macek | 60 | 1 | 2 | 2 |
2 | Anthony Angello | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Colton White | Kristians Rubins | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Matt Puempel | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | ||
2 | Brooks Macek | 40 | 1 | 2 | 2 | Colton White | Kristians Rubins | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Matt Puempel | Brooks Macek | 60 | 1 | 2 | 2 |
2 | Anthony Angello | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Colton White | Kristians Rubins | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Tomas Hyka | Matt Puempel | Brooks Macek |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Tomas Hyka | Matt Puempel | Brooks Macek |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Luke Philp, Tomas Hyka, Mike Vecchione | Luke Philp, Tomas Hyka | Mike Vecchione |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Peter Stoykewych, Joseph Cecconi, Hubert Labrie | Peter Stoykewych | Joseph Cecconi, Hubert Labrie |
Penalty Shots |
---|
Matt Puempel, Brooks Macek, , Anthony Angello, Tomas Hyka |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
Matt Puempel, Brooks Macek, , Anthony Angello, Tomas Hyka, Mike Vecchione, Mike Vecchione, Luke Philp, Philipp Kurashev, Henrik Samuelsson, |
Custom OT Lines Defensemen |
---|
, , Colton White, Kristians Rubins, Peter Stoykewych |
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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
50 | 42 | W2 | 195 | 351 | 546 | 1963 | 1908 | 533 | 380 | 1215 | 1 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
50 | 16 | 27 | 2 | 2 | 1 | 2 | 195 | 212 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 10 | 12 | 0 | 1 | 0 | 2 | 105 | 99 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 6 | 15 | 2 | 1 | 1 | 0 | 90 | 113 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 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 |
---|---|---|---|---|---|---|
142 | 32 | 22.54% | 149 | 37 | 75.17% | 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 |
---|---|---|---|---|---|---|---|
616 | 642 | 678 | 38 | 62 | 66 | 64 | 4 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
942 | 1902 | 49.53% | 951 | 1790 | 53.13% | 481 | 887 | 54.23% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1171 | 813 | 1208 | 363 | 640 | 313 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2020-10-01 | 4 | Barracuda | 2 | Wolves | 5 | L | BoxScore | |||
3 - 2020-10-03 | 17 | Wolves | 6 | Barracuda | 5 | L | BoxScore | |||
4 - 2020-10-04 | 28 | Barracuda | 6 | Gulls | 4 | W | BoxScore | |||
7 - 2020-10-07 | 41 | Barracuda | 1 | Admirals | 6 | L | BoxScore | |||
9 - 2020-10-09 | 54 | Barracuda | 5 | IceHogs | 4 | W | X | BoxScore | ||
12 - 2020-10-12 | 77 | Heat | 8 | Barracuda | 7 | L | X | X | BoxScore | |
15 - 2020-10-15 | 97 | Checkers | 0 | Barracuda | 4 | W | BoxScore | |||
18 - 2020-10-18 | 123 | Americans | 1 | Barracuda | 7 | W | BoxScore | |||
21 - 2020-10-21 | 134 | Barracuda | 1 | Americans | 6 | L | BoxScore | |||
23 - 2020-10-23 | 145 | Barracuda | 2 | Rocket | 5 | L | BoxScore | |||
24 - 2020-10-24 | 156 | Barracuda | 5 | Marlies | 4 | W | X | X | BoxScore | |
26 - 2020-10-26 | 173 | Barracuda | 5 | Senators | 6 | L | BoxScore | |||
28 - 2020-10-28 | 179 | Barracuda | 5 | Bruins | 7 | L | BoxScore | |||
31 - 2020-10-31 | 203 | Moose | 2 | Barracuda | 5 | W | BoxScore | |||
32 - 2020-11-01 | 216 | Comets | 2 | Barracuda | 7 | W | BoxScore | |||
35 - 2020-11-04 | 234 | IceHogs | 3 | Barracuda | 2 | L | BoxScore | |||
37 - 2020-11-06 | 247 | Wild | 6 | Barracuda | 4 | L | BoxScore | |||
39 - 2020-11-08 | 262 | Admirals | 4 | Barracuda | 2 | L | BoxScore | |||
42 - 2020-11-11 | 280 | Condors | 4 | Barracuda | 2 | L | BoxScore | |||
44 - 2020-11-13 | 292 | Barracuda | 5 | Gulls | 4 | W | BoxScore | |||
46 - 2020-11-15 | 313 | Griffins | 3 | Barracuda | 5 | W | BoxScore | |||
49 - 2020-11-18 | 330 | Condors | 2 | Barracuda | 7 | W | BoxScore | |||
51 - 2020-11-20 | 344 | Barracuda | 3 | Wolves | 4 | L | X | BoxScore | ||
53 - 2020-11-22 | 361 | Sound Tigers | 4 | Barracuda | 5 | W | BoxScore | |||
55 - 2020-11-24 | 373 | Barracuda | 5 | Reign | 4 | W | X | BoxScore | ||
57 - 2020-11-26 | 389 | Moose | 6 | Barracuda | 2 | L | BoxScore | |||
59 - 2020-11-28 | 393 | Reign | 3 | Barracuda | 2 | L | X | BoxScore | ||
60 - 2020-11-29 | 411 | Barracuda | 3 | Roadrunners | 4 | L | BoxScore | |||
63 - 2020-12-02 | 433 | Bears | 6 | Barracuda | 5 | L | BoxScore | |||
65 - 2020-12-04 | 443 | Barracuda | 1 | Checkers | 4 | L | BoxScore | |||
67 - 2020-12-06 | 457 | Barracuda | 1 | Crunch | 4 | L | BoxScore | |||
68 - 2020-12-07 | 464 | Barracuda | 5 | Thunderbirds | 7 | L | BoxScore | |||
70 - 2020-12-09 | 475 | Barracuda | 3 | Admirals | 6 | L | BoxScore | |||
72 - 2020-12-11 | 498 | Wolf Pack | 6 | Barracuda | 5 | L | X | X | BoxScore | |
74 - 2020-12-13 | 514 | Comets | 3 | Barracuda | 6 | W | BoxScore | |||
77 - 2020-12-16 | 534 | Roadrunners | 6 | Barracuda | 1 | L | BoxScore | |||
81 - 2020-12-20 | 564 | Rampage | 5 | Barracuda | 4 | L | BoxScore | |||
82 - 2020-12-21 | 568 | Wolves | 4 | Barracuda | 2 | L | BoxScore | |||
87 - 2020-12-26 | 592 | Reign | 6 | Barracuda | 5 | L | BoxScore | |||
88 - 2020-12-27 | 601 | Phantoms | 4 | Barracuda | 6 | W | BoxScore | |||
91 - 2020-12-30 | 620 | Barracuda | 5 | Griffins | 1 | W | BoxScore | |||
93 - 2021-01-01 | 631 | Barracuda | 5 | Penguins | 2 | W | BoxScore | |||
95 - 2021-01-03 | 642 | Barracuda | 3 | Monsters | 4 | L | BoxScore | |||
96 - 2021-01-04 | 653 | Barracuda | 2 | Bears | 6 | L | BoxScore | |||
98 - 2021-01-06 | 670 | Barracuda | 3 | Rampage | 5 | L | BoxScore | |||
100 - 2021-01-08 | 688 | Monsters | 1 | Barracuda | 2 | W | BoxScore | |||
102 - 2021-01-10 | 702 | Stars | 4 | Barracuda | 3 | L | BoxScore | |||
105 - 2021-01-13 | 724 | Barracuda | 3 | Roadrunners | 6 | L | BoxScore | |||
107 - 2021-01-15 | 738 | Barracuda | 5 | Eagles | 2 | W | BoxScore | |||
109 - 2021-01-17 | 754 | Barracuda | 6 | Comets | 3 | W | BoxScore | |||
118 - 2021-01-26 | 773 | Gulls | - | Barracuda | - | |||||
120 - 2021-01-28 | 781 | Comets | - | Barracuda | - | |||||
123 - 2021-01-31 | 805 | Crunch | - | Barracuda | - | |||||
126 - 2021-02-03 | 823 | Barracuda | - | Heat | - | |||||
128 - 2021-02-05 | 837 | Barracuda | - | Condors | - | |||||
132 - 2021-02-09 | 865 | Heat | - | Barracuda | - | |||||
136 - 2021-02-13 | 891 | Barracuda | - | Moose | - | |||||
137 - 2021-02-14 | 899 | Barracuda | - | Wild | - | |||||
139 - 2021-02-16 | 915 | Thunderbirds | - | Barracuda | - | |||||
142 - 2021-02-19 | 934 | Barracuda | - | Devils | - | |||||
144 - 2021-02-21 | 953 | Barracuda | - | Wolf Pack | - | |||||
145 - 2021-02-22 | 962 | Barracuda | - | Sound Tigers | - | |||||
147 - 2021-02-24 | 972 | Barracuda | - | Phantoms | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
149 - 2021-02-26 | 993 | Devils | - | Barracuda | - | |||||
151 - 2021-02-28 | 1010 | Penguins | - | Barracuda | - | |||||
154 - 2021-03-03 | 1028 | Marlies | - | Barracuda | - | |||||
156 - 2021-03-05 | 1042 | Wild | - | Barracuda | - | |||||
158 - 2021-03-07 | 1053 | Senators | - | Barracuda | - | |||||
159 - 2021-03-08 | 1065 | Eagles | - | Barracuda | - | |||||
162 - 2021-03-11 | 1079 | Barracuda | - | IceHogs | - | |||||
164 - 2021-03-13 | 1094 | Barracuda | - | Rampage | - | |||||
165 - 2021-03-14 | 1106 | Barracuda | - | Stars | - | |||||
168 - 2021-03-17 | 1129 | Barracuda | - | Eagles | - | |||||
170 - 2021-03-19 | 1145 | Rocket | - | Barracuda | - | |||||
172 - 2021-03-21 | 1163 | Bruins | - | Barracuda | - | |||||
174 - 2021-03-23 | 1173 | Barracuda | - | Heat | - | |||||
176 - 2021-03-25 | 1189 | Barracuda | - | Comets | - | |||||
178 - 2021-03-27 | 1203 | Barracuda | - | Condors | - | |||||
180 - 2021-03-29 | 1223 | Roadrunners | - | Barracuda | - | |||||
182 - 2021-03-31 | 1238 | Barracuda | - | Reign | - | |||||
184 - 2021-04-02 | 1254 | Stars | - | Barracuda | - | |||||
186 - 2021-04-04 | 1271 | Gulls | - | Barracuda | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 42,557 | 24,370 |
Attendance PCT | 85.11% | 97.48% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 2677 - 89.24% | 92,752$ | 2,318,806$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,858,368$ | 1,116,708$ | 1,116,708$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 675,647$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,484,036$ | 76 | 16,756$ | 1,273,456$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 78 | 32 | 36 | 0 | 4 | 5 | 0 | 1 | 421 | 452 | -31 | 39 | 19 | 16 | 0 | 2 | 1 | 0 | 1 | 213 | 218 | -5 | 39 | 13 | 20 | 0 | 2 | 4 | 0 | 0 | 208 | 234 | -26 | 78 | 421 | 764 | 1185 | 0 | 0 | 0 | 94 | 158 | 165 | 1838 | 0 | 520 | 638 | 669 | 2146 | 708 | 1510 | 1432 | 312 | 115 | 36.86% | 387 | 153 | 60.47% | 18 | 534 | 1142 | 46.76% | 631 | 1361 | 46.36% | 796 | 1766 | 45.07% | 1664 | 1005 | 1724 | 743 | 1313 | 609 |
2019 | 82 | 36 | 34 | 0 | 6 | 5 | 1 | 0 | 252 | 244 | 8 | 41 | 17 | 18 | 0 | 3 | 3 | 0 | 0 | 111 | 119 | -8 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 141 | 125 | 16 | 91 | 252 | 456 | 708 | 3 | 3 | 0 | 87 | 82 | 76 | 3005 | 0 | 957 | 991 | 1025 | 2878 | 870 | 568 | 1785 | 291 | 47 | 16.15% | 237 | 42 | 82.28% | 1 | 1546 | 3123 | 49.50% | 1418 | 3015 | 47.03% | 603 | 1220 | 49.43% | 1967 | 1375 | 1968 | 594 | 1019 | 505 |
2020 | 50 | 16 | 27 | 0 | 2 | 2 | 1 | 2 | 195 | 212 | -17 | 25 | 10 | 12 | 0 | 0 | 1 | 0 | 2 | 105 | 99 | 6 | 25 | 6 | 15 | 0 | 2 | 1 | 1 | 0 | 90 | 113 | -23 | 42 | 195 | 351 | 546 | 1 | 1 | 62 | 66 | 64 | 4 | 1963 | 616 | 642 | 678 | 38 | 1908 | 533 | 380 | 1215 | 142 | 32 | 22.54% | 149 | 37 | 75.17% | 0 | 942 | 1902 | 49.53% | 951 | 1790 | 53.13% | 481 | 887 | 54.23% | 1171 | 813 | 1208 | 363 | 640 | 313 |
Total Regular Season | 210 | 84 | 97 | 0 | 12 | 12 | 2 | 3 | 868 | 908 | -40 | 105 | 46 | 46 | 0 | 5 | 5 | 0 | 3 | 429 | 436 | -7 | 105 | 38 | 51 | 0 | 7 | 7 | 2 | 0 | 439 | 472 | -33 | 211 | 868 | 1571 | 2439 | 4 | 4 | 62 | 247 | 304 | 245 | 6806 | 616 | 2119 | 2307 | 1732 | 6932 | 2111 | 2458 | 4432 | 745 | 194 | 26.04% | 773 | 232 | 69.99% | 19 | 3022 | 6167 | 49.00% | 3000 | 6166 | 48.65% | 1880 | 3873 | 48.54% | 4802 | 3194 | 4900 | 1701 | 2974 | 1429 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 35 | 48 | -13 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 24 | -12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 24 | -1 | 6 | 35 | 67 | 102 | 0 | 0 | 0 | 7 | 17 | 11 | 144 | 0 | 40 | 66 | 38 | 149 | 51 | 72 | 125 | 25 | 8 | 32.00% | 36 | 17 | 52.78% | 1 | 42 | 82 | 51.22% | 47 | 99 | 47.47% | 85 | 173 | 49.13% | 144 | 79 | 150 | 68 | 124 | 60 |
2019 | 17 | 11 | 6 | 0 | 0 | 0 | 0 | 0 | 61 | 53 | 8 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 29 | 25 | 4 | 22 | 61 | 107 | 168 | 0 | 0 | 0 | 25 | 27 | 6 | 634 | 0 | 233 | 179 | 206 | 614 | 198 | 101 | 395 | 68 | 14 | 20.59% | 39 | 8 | 79.49% | 0 | 306 | 660 | 46.36% | 267 | 620 | 43.06% | 146 | 292 | 50.00% | 405 | 283 | 426 | 123 | 216 | 109 |
Total Playoff | 24 | 14 | 10 | 0 | 0 | 0 | 0 | 0 | 96 | 101 | -5 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 52 | -8 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 52 | 49 | 3 | 28 | 96 | 174 | 270 | 0 | 0 | 0 | 32 | 44 | 17 | 778 | 0 | 273 | 245 | 244 | 763 | 249 | 173 | 520 | 93 | 22 | 23.66% | 75 | 25 | 66.67% | 1 | 348 | 742 | 46.90% | 314 | 719 | 43.67% | 231 | 465 | 49.68% | 550 | 362 | 577 | 191 | 341 | 170 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator