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 | Josh Currie | X | 100.00 | 55 | 43 | 88 | 61 | 65 | 79 | 77 | 60 | 54 | 59 | 63 | 58 | 61 | 75 | 68 | 57 | 75 | 62 | 0 | ||||
2 | Valentin Zykov | X | X | 100.00 | 64 | 45 | 82 | 63 | 78 | 80 | 75 | 62 | 53 | 58 | 61 | 59 | 64 | 69 | 65 | 73 | 75 | 62 | 0 | |||
3 | Michael Carcone | X | 100.00 | 58 | 52 | 82 | 60 | 63 | 87 | 88 | 58 | 56 | 57 | 59 | 54 | 58 | 67 | 64 | 61 | 75 | 60 | 0 | ||||
4 | Jake Horton | X | 100.00 | 67 | 39 | 80 | 57 | 79 | 78 | 73 | 56 | 63 | 55 | 54 | 58 | 53 | 65 | 68 | 57 | 75 | 59 | 0 | ||||
5 | Landon Ferraro | X | X | 100.00 | 53 | 40 | 78 | 57 | 69 | 72 | 68 | 56 | 60 | 56 | 54 | 57 | 55 | 75 | 68 | 64 | 75 | 58 | 0 | |||
6 | Jakub Lauko (R) | X | 100.00 | 52 | 45 | 78 | 59 | 68 | 72 | 71 | 58 | 52 | 54 | 57 | 53 | 56 | 60 | 62 | 67 | 75 | 58 | 0 | ||||
7 | Forward1 (R) | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 75 | 12 | 0 | ||
8 | Mike Reilly | X | 100.00 | 68 | 39 | 83 | 66 | 77 | 84 | 78 | 64 | 30 | 74 | 57 | 63 | 50 | 73 | 68 | 53 | 75 | 65 | 0 | ||||
9 | Alex Lintuniemi | X | 100.00 | 77 | 36 | 91 | 56 | 90 | 93 | 90 | 55 | 30 | 58 | 50 | 59 | 45 | 67 | 64 | 61 | 75 | 61 | 0 | ||||
10 | Mitchell Vande Sompel | X | 100.00 | 64 | 36 | 77 | 60 | 70 | 78 | 73 | 59 | 30 | 62 | 57 | 61 | 55 | 63 | 58 | 73 | 75 | 60 | 0 | ||||
11 | Leon Gawanke (R) | X | 100.00 | 59 | 45 | 88 | 60 | 75 | 83 | 82 | 58 | 30 | 61 | 53 | 56 | 48 | 61 | 63 | 57 | 75 | 60 | 0 | ||||
12 | Luke Green | X | 100.00 | 60 | 42 | 86 | 57 | 75 | 73 | 76 | 56 | 30 | 52 | 54 | 58 | 45 | 63 | 64 | 71 | 75 | 59 | 0 | ||||
13 | Zach Palmquist | X | 100.00 | 53 | 36 | 90 | 54 | 68 | 93 | 90 | 53 | 30 | 54 | 51 | 52 | 49 | 77 | 69 | 56 | 75 | 58 | 0 | ||||
14 | Shane Hanna | X | 100.00 | 63 | 44 | 64 | 52 | 71 | 77 | 80 | 52 | 30 | 53 | 51 | 58 | 55 | 74 | 67 | 52 | 75 | 57 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 39 | 76 | 55 | 68 | 75 | 73 | 53 | 39 | 54 | 52 | 53 | 50 | 64 | 61 | 57 | 75 | 57 |
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 | Garret Sparks | 100.00 | 75 | 73 | 71 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 73 | 77 | 58 | 75 | 66 | 0 | |
2 | Felix Sandstrom | 100.00 | 75 | 52 | 50 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 65 | 69 | 66 | 75 | 64 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 63 | 61 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 69 | 73 | 62 | 75 | 65 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Van Ryn | 63 | 73 | 69 | 68 | 60 | 56 | 85 | CAN | 40 | 2 | 625,000$ |
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 | Alex Lintuniemi | Monsters (CBJ) | D | 50 | 13 | 42 | 55 | 3 | 76 | 0 | 213 | 104 | 138 | 36 | 101 | 9.42% | 96 | 1314 | 26.30 | 7 | 6 | 13 | 74 | 149 | 0 | 0 | 0 | 1 | 82 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 2 |
2 | Jake Horton | Monsters (CBJ) | C | 50 | 15 | 29 | 44 | 8 | 16 | 0 | 123 | 166 | 164 | 37 | 113 | 9.15% | 11 | 859 | 17.19 | 1 | 2 | 3 | 11 | 43 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 52.04% | 1226 | 0 | 0 | 0 | 0 | 1.02 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 4 |
3 | Landon Ferraro | Monsters (CBJ) | C/RW | 50 | 25 | 18 | 43 | 8 | 6 | 0 | 42 | 92 | 199 | 48 | 130 | 12.56% | 13 | 860 | 17.21 | 0 | 2 | 2 | 9 | 43 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 59.18% | 49 | 0 | 0 | 0 | 0 | 1.00 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 3 |
4 | Leon Gawanke | Monsters (CBJ) | D | 50 | 5 | 28 | 33 | 1 | 20 | 0 | 83 | 79 | 88 | 23 | 55 | 5.68% | 68 | 969 | 19.40 | 1 | 5 | 6 | 35 | 82 | 0 | 0 | 0 | 0 | 77 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 |
5 | Luke Green | Monsters (CBJ) | D | 50 | 6 | 26 | 32 | 1 | 24 | 0 | 103 | 52 | 99 | 28 | 72 | 6.06% | 74 | 941 | 18.84 | 3 | 7 | 10 | 48 | 82 | 0 | 0 | 0 | 1 | 50 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 3 |
6 | Josh Currie | Monsters (CBJ) | RW | 24 | 14 | 16 | 30 | 3 | 6 | 0 | 30 | 81 | 155 | 58 | 132 | 9.03% | 9 | 623 | 25.98 | 3 | 7 | 10 | 22 | 55 | 0 | 0 | 0 | 2 | 58 | 1 | 0 | 53.66% | 41 | 0 | 0 | 1 | 0 | 0.96 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 |
7 | Shane Hanna | Monsters (CBJ) | D | 50 | 3 | 12 | 15 | -18 | 38 | 0 | 137 | 51 | 27 | 13 | 30 | 11.11% | 76 | 705 | 14.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
8 | Mitchell Vande Sompel | Monsters (CBJ) | D | 36 | 1 | 13 | 14 | 4 | 14 | 0 | 41 | 38 | 27 | 3 | 19 | 3.70% | 48 | 556 | 15.47 | 0 | 0 | 0 | 5 | 3 | 0 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Jakub Lauko | Monsters (CBJ) | C | 50 | 7 | 6 | 13 | -20 | 4 | 0 | 76 | 119 | 100 | 32 | 52 | 7.00% | 16 | 557 | 11.15 | 0 | 1 | 1 | 4 | 7 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 47.63% | 800 | 0 | 0 | 0 | 1 | 0.47 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 |
10 | Zach Palmquist | Monsters (CBJ) | D | 50 | 3 | 7 | 10 | -17 | 8 | 0 | 16 | 48 | 43 | 14 | 26 | 6.98% | 62 | 679 | 13.60 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
11 | Forward1 | Monsters (CBJ) | C/LW/RW | 50 | 0 | 0 | 0 | -19 | 0 | 0 | 24 | 3 | 3 | 0 | 1 | 0.00% | 0 | 541 | 10.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 7.50% | 40 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Forward2 | Blue Jackets | C/LW/RW | 25 | 0 | 0 | 0 | -18 | 0 | 0 | 10 | 1 | 1 | 0 | 2 | 0.00% | 0 | 296 | 11.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 8.70% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 535 | 92 | 197 | 289 | -64 | 212 | 0 | 898 | 834 | 1044 | 292 | 733 | 8.81% | 473 | 8908 | 16.65 | 15 | 30 | 45 | 209 | 473 | 0 | 0 | 0 | 4 | 417 | 15 | 11 | 49.33% | 2179 | 0 | 0 | 1 | 1 | 0.65 | 1 | 3 | 0 | 0 | 0 | 18 | 17 | 19 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Garret Sparks | Monsters (CBJ) | 50 | 23 | 22 | 2 | 0.905 | 3.67 | 2827 | 0 | 1 | 173 | 1818 | 0 | 2 | 0 | 1.000 | 6 | 50 | 0 | 3 | 7 | 2 |
2 | Felix Sandstrom | Monsters (CBJ) | 5 | 2 | 1 | 0 | 0.912 | 3.85 | 187 | 0 | 0 | 12 | 137 | 0 | 0 | 0 | 0.000 | 0 | 0 | 50 | 0 | 0 | 0 |
Team Total or Average | 55 | 25 | 23 | 2 | 0.905 | 3.68 | 3014 | 0 | 1 | 185 | 1955 | 0 | 2 | 0 | 1.000 | 6 | 50 | 50 | 3 | 7 | 2 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lintuniemi | D | 24 | 1995-09-23 | No | 231 Lbs | 6 ft3 | No | No | No | 2 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link / NHL Link | |
Felix Sandstrom | G | 23 | 1997-01-12 | No | 191 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 792,500$ | 0$ | 0$ | No | Link / NHL Link | |
Forward1 | C/LW/RW | 24 | 1995-09-17 02:14:15 | Yes | 180 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | ||
Garret Sparks | G | 27 | 1993-06-28 | No | 201 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 675,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jake Horton | C | 25 | 1994-11-19 | No | 187 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 775,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jakub Lauko | C | 20 | 2000-03-28 | Yes | 169 Lbs | 6 ft0 | No | No | No | 2 | ELC | Pro & Farm | 786,667$ | 0$ | 0$ | No | Link / NHL Link | |
Josh Currie | RW | 27 | 1992-10-29 | No | 172 Lbs | 5 ft10 | No | No | No | 3 | RFA | Pro & Farm | 687,500$ | 0$ | 0$ | No | Link / NHL Link | |
Landon Ferraro | C/RW | 29 | 1991-08-08 | No | 173 Lbs | 6 ft0 | No | No | No | 2 | UFA | Pro & Farm | 975,000$ | 0$ | 0$ | No | Link / NHL Link | |
Leon Gawanke | D | 21 | 1999-05-31 | Yes | 186 Lbs | 6 ft1 | No | No | No | 2 | ELC | Pro & Farm | 796,667$ | 0$ | 0$ | No | Link / NHL Link | |
Luke Green | D | 22 | 1998-01-12 | No | 188 Lbs | 6 ft1 | No | No | No | 1 | ELC | Pro & Farm | 733,333$ | 0$ | 0$ | No | Link / NHL Link | |
Michael Carcone | LW | 24 | 1996-05-19 | No | 170 Lbs | 5 ft9 | No | No | No | 2 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link / NHL Link | |
Mike Reilly | D | 27 | 1993-07-13 | No | 200 Lbs | 6 ft1 | No | No | No | 2 | RFA | Pro & Farm | 725,000$ | 0$ | 0$ | No | Link / NHL Link | |
Mitchell Vande Sompel | D | 23 | 1997-02-11 | No | 194 Lbs | 5 ft10 | No | No | No | 2 | RFA | Pro & Farm | 728,333$ | 0$ | 0$ | No | Link / NHL Link | |
Shane Hanna | D | 26 | 1994-05-02 | No | 194 Lbs | 5 ft11 | No | No | No | 3 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link / NHL Link | |
Valentin Zykov | LW/RW | 25 | 1995-05-15 | No | 220 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 675,000$ | 0$ | 0$ | No | Link / NHL Link | |
Zach Palmquist | D | 29 | 1990-12-09 | No | 180 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 24.75 | 190 Lbs | 6 ft0 | 1.88 | 728,125$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | Jake Horton | Landon Ferraro | 30 | 1 | 2 | 2 | |
3 | Jakub Lauko | Forward1 | 20 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Alex Lintuniemi | 40 | 1 | 2 | 2 | ||
2 | Leon Gawanke | Luke Green | 30 | 1 | 2 | 2 | |
3 | Zach Palmquist | Shane Hanna | 20 | 1 | 2 | 2 | |
4 | Alex Lintuniemi | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Jake Horton | Landon Ferraro | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Alex Lintuniemi | 60 | 1 | 2 | 2 | ||
2 | Leon Gawanke | Luke Green | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Alex Lintuniemi | 60 | 1 | 2 | 2 | |
2 | Leon Gawanke | Luke Green | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Alex Lintuniemi | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | Leon Gawanke | Luke Green | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Alex Lintuniemi | 60 | 1 | 2 | 2 | |
2 | Leon Gawanke | Luke Green | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Alex Lintuniemi |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Alex Lintuniemi |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jakub Lauko, , Forward1 | Jakub Lauko, | Forward1 |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Zach Palmquist, Shane Hanna, Leon Gawanke | Zach Palmquist | Shane Hanna, Leon Gawanke |
Penalty Shots |
---|
, , , , Jake Horton |
Goalie |
---|
#1 : Garret Sparks, #2 : Felix Sandstrom |
Custom OT Lines Forwards |
---|
, , , , Jake Horton, Landon Ferraro, Landon Ferraro, Jakub Lauko, , Forward1, |
Custom OT Lines Defensemen |
---|
, Alex Lintuniemi, Leon Gawanke, Luke Green, Zach Palmquist |
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 | 52 | L3 | 172 | 310 | 482 | 1833 | 1955 | 575 | 286 | 1256 | 0 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
50 | 20 | 23 | 4 | 2 | 1 | 0 | 172 | 185 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
26 | 12 | 11 | 2 | 0 | 1 | 0 | 88 | 89 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 8 | 12 | 2 | 2 | 0 | 0 | 84 | 96 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 6 | 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 |
---|---|---|---|---|---|---|
140 | 29 | 20.71% | 125 | 31 | 75.20% | 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 |
---|---|---|---|---|---|---|---|
578 | 577 | 653 | 31 | 59 | 65 | 43 | 5 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
846 | 1831 | 46.20% | 921 | 1954 | 47.13% | 385 | 826 | 46.61% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1104 | 764 | 1284 | 366 | 629 | 301 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
3 - 2020-10-03 | 16 | Marlies | 2 | Monsters | 9 | W | BoxScore | |||
4 - 2020-10-04 | 22 | Monsters | 4 | Penguins | 0 | W | BoxScore | |||
6 - 2020-10-06 | 35 | Americans | 1 | Monsters | 3 | W | BoxScore | |||
10 - 2020-10-10 | 59 | Gulls | 3 | Monsters | 2 | L | BoxScore | |||
11 - 2020-10-11 | 69 | Monsters | 1 | Checkers | 8 | L | BoxScore | |||
15 - 2020-10-15 | 94 | Stars | 3 | Monsters | 4 | W | BoxScore | |||
17 - 2020-10-17 | 110 | Monsters | 6 | IceHogs | 3 | W | BoxScore | |||
18 - 2020-10-18 | 120 | Sound Tigers | 2 | Monsters | 3 | W | BoxScore | |||
20 - 2020-10-20 | 129 | Monsters | 4 | Marlies | 2 | W | BoxScore | |||
23 - 2020-10-23 | 148 | Checkers | 5 | Monsters | 0 | L | BoxScore | |||
25 - 2020-10-25 | 165 | Monsters | 0 | Phantoms | 4 | L | BoxScore | |||
29 - 2020-10-29 | 189 | Condors | 5 | Monsters | 7 | W | BoxScore | |||
31 - 2020-10-31 | 200 | Monsters | 3 | Rampage | 4 | L | X | BoxScore | ||
32 - 2020-11-01 | 212 | Heat | 4 | Monsters | 2 | L | BoxScore | |||
35 - 2020-11-04 | 227 | Wolves | 2 | Monsters | 4 | W | BoxScore | |||
37 - 2020-11-06 | 246 | Monsters | 2 | Roadrunners | 4 | L | BoxScore | |||
39 - 2020-11-08 | 260 | Monsters | 5 | Eagles | 4 | W | X | BoxScore | ||
42 - 2020-11-11 | 273 | Monsters | 4 | Rocket | 6 | L | BoxScore | |||
45 - 2020-11-14 | 297 | Rampage | 2 | Monsters | 4 | W | BoxScore | |||
49 - 2020-11-18 | 322 | Rocket | 4 | Monsters | 5 | W | X | X | BoxScore | |
51 - 2020-11-20 | 337 | Griffins | 3 | Monsters | 0 | L | BoxScore | |||
53 - 2020-11-22 | 352 | Monsters | 1 | Moose | 2 | L | BoxScore | |||
55 - 2020-11-24 | 369 | Senators | 2 | Monsters | 1 | L | BoxScore | |||
57 - 2020-11-26 | 384 | Phantoms | 7 | Monsters | 3 | L | BoxScore | |||
59 - 2020-11-28 | 400 | Penguins | 4 | Monsters | 2 | L | BoxScore | |||
60 - 2020-11-29 | 410 | Monsters | 4 | Sound Tigers | 2 | W | BoxScore | |||
63 - 2020-12-02 | 429 | Roadrunners | 2 | Monsters | 4 | W | BoxScore | |||
65 - 2020-12-04 | 444 | Wolf Pack | 2 | Monsters | 3 | W | BoxScore | |||
67 - 2020-12-06 | 458 | Monsters | 7 | Thunderbirds | 6 | W | BoxScore | |||
69 - 2020-12-08 | 469 | Monsters | 2 | Bears | 3 | L | X | BoxScore | ||
72 - 2020-12-11 | 490 | Monsters | 4 | Penguins | 6 | L | BoxScore | |||
74 - 2020-12-13 | 501 | Monsters | 0 | Senators | 2 | L | BoxScore | |||
76 - 2020-12-15 | 521 | Bears | 3 | Monsters | 4 | W | BoxScore | |||
77 - 2020-12-16 | 529 | Monsters | 6 | Griffins | 5 | W | BoxScore | |||
79 - 2020-12-18 | 541 | Reign | 8 | Monsters | 2 | L | BoxScore | |||
81 - 2020-12-20 | 561 | Devils | 5 | Monsters | 6 | W | X | BoxScore | ||
83 - 2020-12-22 | 573 | Monsters | 3 | Sound Tigers | 5 | L | BoxScore | |||
87 - 2020-12-26 | 585 | Monsters | 6 | Bears | 1 | W | BoxScore | |||
89 - 2020-12-28 | 604 | IceHogs | 5 | Monsters | 4 | L | BoxScore | |||
91 - 2020-12-30 | 619 | Thunderbirds | 3 | Monsters | 4 | W | X | BoxScore | ||
93 - 2021-01-01 | 627 | Monsters | 6 | Bruins | 5 | W | BoxScore | |||
95 - 2021-01-03 | 642 | Barracuda | 3 | Monsters | 4 | W | BoxScore | |||
97 - 2021-01-05 | 662 | Monsters | 5 | Reign | 7 | L | BoxScore | |||
98 - 2021-01-06 | 674 | Monsters | 2 | Gulls | 3 | L | BoxScore | |||
100 - 2021-01-08 | 688 | Monsters | 1 | Barracuda | 2 | L | BoxScore | |||
102 - 2021-01-10 | 700 | Monsters | 4 | Wolves | 3 | W | X | BoxScore | ||
105 - 2021-01-13 | 719 | Bruins | 2 | Monsters | 3 | W | BoxScore | |||
107 - 2021-01-15 | 733 | Checkers | 3 | Monsters | 2 | L | BoxScore | |||
109 - 2021-01-17 | 751 | Devils | 4 | Monsters | 3 | L | BoxScore | |||
110 - 2021-01-18 | 758 | Monsters | 4 | Wolf Pack | 9 | L | BoxScore | |||
113 - 2021-01-21 | 766 | Moose | - | Monsters | - | |||||
123 - 2021-01-31 | 792 | Monsters | - | Americans | - | |||||
124 - 2021-02-01 | 807 | Monsters | - | Rocket | - | |||||
126 - 2021-02-03 | 818 | Thunderbirds | - | Monsters | - | |||||
129 - 2021-02-06 | 841 | Griffins | - | Monsters | - | |||||
130 - 2021-02-07 | 851 | Eagles | - | Monsters | - | |||||
132 - 2021-02-09 | 863 | Crunch | - | Monsters | - | |||||
135 - 2021-02-12 | 880 | Monsters | - | Americans | - | |||||
136 - 2021-02-13 | 893 | Wolf Pack | - | Monsters | - | |||||
138 - 2021-02-15 | 912 | Monsters | - | Devils | - | |||||
140 - 2021-02-17 | 920 | Monsters | - | Phantoms | - | |||||
142 - 2021-02-19 | 936 | Phantoms | - | Monsters | - | |||||
144 - 2021-02-21 | 955 | Monsters | - | Admirals | - | |||||
146 - 2021-02-23 | 967 | Senators | - | Monsters | - | |||||
147 - 2021-02-24 | 978 | Monsters | - | Wild | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
150 - 2021-02-27 | 995 | Wild | - | Monsters | - | |||||
152 - 2021-03-01 | 1013 | Comets | - | Monsters | - | |||||
155 - 2021-03-04 | 1030 | Monsters | - | Heat | - | |||||
158 - 2021-03-07 | 1058 | Monsters | - | Condors | - | |||||
159 - 2021-03-08 | 1064 | Monsters | - | Comets | - | |||||
163 - 2021-03-12 | 1088 | Penguins | - | Monsters | - | |||||
165 - 2021-03-14 | 1105 | Admirals | - | Monsters | - | |||||
167 - 2021-03-16 | 1118 | Monsters | - | Bruins | - | |||||
170 - 2021-03-19 | 1141 | Bears | - | Monsters | - | |||||
172 - 2021-03-21 | 1155 | Monsters | - | Marlies | - | |||||
174 - 2021-03-23 | 1171 | Monsters | - | Devils | - | |||||
175 - 2021-03-24 | 1178 | Monsters | - | Wolf Pack | - | |||||
178 - 2021-03-27 | 1199 | Monsters | - | Crunch | - | |||||
179 - 2021-03-28 | 1212 | Monsters | - | Stars | - | |||||
181 - 2021-03-30 | 1226 | Sound Tigers | - | Monsters | - | |||||
184 - 2021-04-02 | 1249 | Crunch | - | Monsters | - | |||||
185 - 2021-04-03 | 1255 | Monsters | - | Checkers | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 44,879 | 25,475 |
Attendance PCT | 86.31% | 97.98% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 2706 - 90.20% | 93,889$ | 2,441,110$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,074,284$ | 1,165,000$ | 1,165,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 704,646$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,408,333$ | 76 | 9,624$ | 731,424$ |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 78 | 30 | 39 | 0 | 3 | 3 | 1 | 2 | 480 | 541 | -61 | 39 | 21 | 14 | 0 | 2 | 0 | 0 | 2 | 266 | 240 | 26 | 39 | 9 | 25 | 0 | 1 | 3 | 1 | 0 | 214 | 301 | -87 | 73 | 480 | 856 | 1336 | 1 | 0 | 0 | 106 | 198 | 172 | 2361 | 0 | 646 | 799 | 900 | 2361 | 776 | 1638 | 1500 | 301 | 125 | 41.53% | 365 | 174 | 52.33% | 15 | 653 | 1354 | 48.23% | 592 | 1206 | 49.09% | 851 | 1869 | 45.53% | 1755 | 1080 | 1638 | 709 | 1317 | 631 |
2019 | 82 | 31 | 35 | 0 | 3 | 7 | 4 | 2 | 232 | 240 | -8 | 41 | 19 | 12 | 0 | 1 | 4 | 4 | 1 | 126 | 111 | 15 | 41 | 12 | 23 | 0 | 2 | 3 | 0 | 1 | 106 | 129 | -23 | 85 | 232 | 426 | 658 | 1 | 3 | 0 | 85 | 71 | 69 | 2793 | 0 | 909 | 946 | 903 | 2974 | 867 | 661 | 2013 | 253 | 58 | 22.92% | 284 | 43 | 84.86% | 1 | 1373 | 2963 | 46.34% | 1486 | 3119 | 47.64% | 611 | 1268 | 48.19% | 1955 | 1365 | 1987 | 589 | 1032 | 513 |
2020 | 50 | 20 | 23 | 0 | 4 | 2 | 1 | 0 | 172 | 185 | -13 | 26 | 12 | 11 | 0 | 2 | 0 | 1 | 0 | 88 | 89 | -1 | 24 | 8 | 12 | 0 | 2 | 2 | 0 | 0 | 84 | 96 | -12 | 52 | 172 | 310 | 482 | 0 | 1 | 59 | 65 | 43 | 5 | 1833 | 578 | 577 | 653 | 31 | 1955 | 575 | 286 | 1256 | 140 | 29 | 20.71% | 125 | 31 | 75.20% | 0 | 846 | 1831 | 46.20% | 921 | 1954 | 47.13% | 385 | 826 | 46.61% | 1104 | 764 | 1284 | 366 | 629 | 301 |
Total Regular Season | 210 | 81 | 97 | 0 | 10 | 12 | 6 | 4 | 884 | 966 | -82 | 106 | 52 | 37 | 0 | 5 | 4 | 5 | 3 | 480 | 440 | 40 | 104 | 29 | 60 | 0 | 5 | 8 | 1 | 1 | 404 | 526 | -122 | 210 | 884 | 1592 | 2476 | 2 | 4 | 59 | 256 | 312 | 246 | 6987 | 578 | 2132 | 2398 | 1834 | 7290 | 2218 | 2585 | 4769 | 694 | 212 | 30.55% | 774 | 248 | 67.96% | 16 | 2872 | 6148 | 46.71% | 2999 | 6279 | 47.76% | 1847 | 3963 | 46.61% | 4815 | 3210 | 4910 | 1665 | 2980 | 1447 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator