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Full Scoreboard »» |
Utica Comets 26-21-8, 60pts · 12th in Conference 1 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Filip Chytil | 0 | C/LW | 100.00 | 62 | 44 | 76 | 75 | 86 | 85 | 77 | 74 | 58 | 70 | 67 | 66 | 72 | 76 | 66 | 1 | 50 | 70 | 24 | 3,900,000$/3yrs | |||
Connor McMichael | 0 | C/LW | 100.00 | 68 | 41 | 77 | 82 | 73 | 78 | 76 | 76 | 65 | 71 | 71 | 69 | 77 | 60 | 53 | 1 | 50 | 70 | 23 | 1,300,000$/2yrs | |||
Juuso Parssinen | 0 | C | 99.00 | 73 | 48 | 84 | 73 | 86 | 83 | 71 | 71 | 64 | 67 | 67 | 67 | 71 | 56 | 50 | 1 | 50 | 68 | 23 | 975,000$/2yrs | |||
Logan Stankoven (R) | 0 | C/RW | 99.00 | 63 | 40 | 75 | 75 | 69 | 77 | 63 | 68 | 49 | 66 | 64 | 65 | 69 | 51 | 50 | 1 | 50 | 65 | 21 | 975,000$/3yrs | |||
Samuel Fagemo | 0 | LW/RW | 100.00 | 61 | 43 | 71 | 71 | 64 | 65 | 63 | 66 | 45 | 59 | 67 | 59 | 68 | 52 | 50 | 1 | 50 | 62 | 24 | 1,575,000$/2yrs | |||
Aku Raty (R) | 0 | C | 99.00 | 63 | 41 | 68 | 68 | 63 | 63 | 62 | 63 | 42 | 63 | 59 | 63 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/3yrs | |||
Ryan Winterton (R) | 0 | C | 100.00 | 66 | 41 | 68 | 68 | 63 | 59 | 58 | 63 | 42 | 59 | 62 | 65 | 64 | 50 | 50 | 1 | 50 | 61 | 20 | 975,000$/3yrs | |||
Brett Berard (R) | 0 | LW | 99.00 | 55 | 44 | 62 | 68 | 57 | 63 | 62 | 64 | 43 | 62 | 62 | 54 | 65 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/3yrs | |||
Fabian Lysell | 0 | RW | 100.00 | 58 | 42 | 66 | 70 | 59 | 60 | 59 | 64 | 44 | 64 | 58 | 59 | 64 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/2yrs | |||
Justin Sourdif | 0 | C | 100.00 | 59 | 44 | 63 | 69 | 59 | 63 | 61 | 63 | 43 | 62 | 56 | 60 | 63 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Adam Beckman | 0 | LW | 100.00 | 58 | 42 | 71 | 67 | 63 | 63 | 62 | 64 | 43 | 59 | 60 | 54 | 64 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/1yrs | |||
Riley Sutter | 0 | RW | 100.00 | 66 | 47 | 63 | 62 | 70 | 65 | 63 | 60 | 57 | 57 | 53 | 60 | 59 | 52 | 50 | 1 | 50 | 59 | 24 | 1,250,000$/1yrs | |||
Ryan Johnson (R) | 0 | D | 100.00 | 58 | 43 | 75 | 70 | 75 | 75 | 63 | 67 | 40 | 65 | 60 | 67 | 66 | 51 | 50 | 1 | 50 | 65 | 22 | 975,000$/3yrs | |||
Filip Kral | 0 | D | 99.00 | 60 | 44 | 71 | 69 | 64 | 62 | 60 | 59 | 40 | 54 | 52 | 63 | 60 | 51 | 50 | 1 | 50 | 60 | 24 | 975,000$/1yrs | |||
Lukas Cormier | 0 | D | 99.00 | 54 | 42 | 67 | 66 | 62 | 63 | 62 | 64 | 40 | 61 | 57 | 56 | 63 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/2yrs | |||
Andrew Lucas | 0 | D | 100.00 | 56 | 40 | 67 | 66 | 56 | 62 | 59 | 56 | 40 | 55 | 54 | 60 | 59 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/1yrs | |||
Anthony Costantini | 0 | D | 100.00 | 60 | 40 | 67 | 63 | 62 | 59 | 57 | 56 | 40 | 55 | 54 | 61 | 58 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
Andrew Nielsen | 0 | D | 100.00 | 65 | 50 | 65 | 58 | 73 | 63 | 60 | 54 | 40 | 50 | 51 | 61 | 54 | 54 | 50 | 1 | 50 | 58 | 27 | 975,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Marian Studenic | 0 | LW/RW | 100.00 | 65 | 42 | 73 | 72 | 63 | 67 | 65 | 65 | 43 | 64 | 59 | 68 | 66 | 53 | 50 | 1 | 50 | 63 | 25 | ||||
Judd Caulfield (R) | 0 | RW | 100.00 | 64 | 41 | 68 | 62 | 68 | 63 | 62 | 61 | 42 | 60 | 57 | 60 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/3yrs | |||
Samuel Helenius | 0 | C | 100.00 | 68 | 53 | 63 | 61 | 72 | 60 | 58 | 59 | 47 | 56 | 53 | 60 | 57 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/2yrs | |||
Rory Kerins | 0 | C | 100.00 | 61 | 40 | 71 | 67 | 63 | 61 | 59 | 60 | 56 | 57 | 57 | 58 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
Oskar Pettersson (R) | 0 | RW | 100.00 | 63 | 40 | 68 | 62 | 64 | 58 | 55 | 58 | 40 | 55 | 55 | 56 | 58 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/3yrs | |||
Zayde Wisdom | 0 | C | 100.00 | 61 | 41 | 71 | 63 | 64 | 61 | 60 | 57 | 51 | 53 | 52 | 54 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/2yrs | |||
Brady Lyle | 0 | D | 100.00 | 64 | 43 | 66 | 66 | 68 | 65 | 64 | 63 | 40 | 57 | 56 | 67 | 62 | 53 | 50 | 1 | 50 | 62 | 25 | ||||
David Spacek (R) | 0 | D | 100.00 | 58 | 41 | 68 | 63 | 63 | 62 | 61 | 62 | 40 | 56 | 56 | 56 | 60 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs | |||
Kim Nousiainen | 0 | D | 100.00 | 56 | 42 | 69 | 69 | 58 | 62 | 60 | 57 | 40 | 53 | 51 | 61 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trent Miner | 0 | 100.00 | 67 | 57 | 55 | 64 | 63 | 63 | 65 | 63 | 64 | 62 | 51 | 50 | 50 | 1 | 50 | 57 | 22 | 1,250,000$/2yrs |
Filip Lindberg | 0 | 98.00 | 68 | 58 | 56 | 63 | 63 | 62 | 64 | 61 | 63 | 62 | 54 | 52 | 50 | 1 | 50 | 57 | 25 | 975,000$/1yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 63 | 63 | 65 | 62 | 63 | 58 | 1 | CAN | 56 | 2 | 500,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Juuso Parssinen | Comets (NJD) | C | 55 | 25 | 36 | 61 | -25 | 19 | 15 | 119 | 212 | 72 | 110 | 11.79% | 32 | 24.10 | 8 | 10 | 18 | 1 | 1 | 2 | 102 | 3 | 2 | 53.43% | 1 | 0 | 1.11 | 1 | 9 | 0.96 | |||
2 | Logan Stankoven | Comets (NJD) | C/RW | 55 | 24 | 26 | 50 | -22 | 25 | 5 | 99 | 161 | 64 | 112 | 14.91% | 23 | 20.25 | 8 | 10 | 18 | 0 | 2 | 2 | 91 | 3 | 2 | 51.09% | 1 | 0 | 0.91 | 4 | 9 | 0.75 | |||
3 | Fabian Lysell | Comets (NJD) | RW | 55 | 14 | 24 | 38 | 4 | 31 | 5 | 101 | 130 | 40 | 78 | 10.77% | 18 | 16.42 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 2 | 34.48% | 0 | 0 | 0.69 | 0 | 0 | 0.66 | |||
4 | Samuel Fagemo | Comets (NJD) | LW/RW | 55 | 14 | 21 | 35 | -22 | 22 | 0 | 92 | 105 | 31 | 71 | 13.33% | 22 | 19.31 | 1 | 10 | 11 | 0 | 0 | 0 | 35 | 1 | 1 | 38.55% | 0 | 0 | 0.64 | 3 | 8 | 0.45 | |||
5 | Aku Raty | Comets (NJD) | C | 55 | 14 | 20 | 34 | 5 | 15 | 5 | 120 | 112 | 35 | 53 | 12.50% | 21 | 18.98 | 1 | 3 | 4 | 2 | 0 | 2 | 51 | 5 | 2 | 43.10% | 0 | 0 | 0.62 | 1 | 6 | 0.62 | |||
6 | Brett Berard | Comets (NJD) | LW | 55 | 19 | 14 | 33 | 1 | 26 | 0 | 126 | 120 | 28 | 89 | 15.83% | 15 | 18.09 | 4 | 2 | 6 | 0 | 0 | 0 | 6 | 1 | 1 | 37.84% | 0 | 0 | 0.60 | 0 | 1 | 0.61 | |||
7 | Ryan Winterton | Comets (NJD) | C | 55 | 13 | 15 | 28 | 17 | 20 | 10 | 108 | 113 | 39 | 79 | 11.50% | 11 | 14.18 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 3 | 0 | 46.18% | 0 | 0 | 0.51 | 1 | 3 | 0.64 | |||
8 | Ryan Johnson | Comets (NJD) | D | 55 | 2 | 21 | 23 | -9 | 30 | 20 | 82 | 68 | 32 | 32 | 2.94% | 59 | 25.74 | 1 | 5 | 6 | 1 | 0 | 1 | 103 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 4 | 0.29 | |||
9 | Adam Beckman | Comets (NJD) | LW | 52 | 13 | 9 | 22 | 19 | 15 | 5 | 69 | 98 | 28 | 56 | 13.27% | 13 | 14.85 | 0 | 0 | 0 | 0 | 1 | 1 | 33 | 4 | 0 | 34.38% | 0 | 0 | 0.42 | 0 | 1 | 0.58 | |||
10 | Filip Kral | Comets (NJD) | D | 55 | 5 | 13 | 18 | -5 | 21 | 5 | 85 | 56 | 21 | 25 | 8.93% | 73 | 23.27 | 3 | 0 | 3 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.29 | |||
11 | Judd Caulfield | Comets (NJD) | RW | 44 | 4 | 9 | 13 | 14 | 13 | 5 | 67 | 46 | 15 | 45 | 8.70% | 7 | 13.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23.08% | 0 | 0 | 0.30 | 0 | 0 | 0.40 | |||
12 | Lukas Cormier | Comets (NJD) | D | 55 | 2 | 11 | 13 | -1 | 23 | 5 | 79 | 38 | 17 | 21 | 5.26% | 50 | 22.61 | 2 | 1 | 3 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.20 | |||
13 | Justin Sourdif | Comets (NJD) | C | 55 | 4 | 6 | 10 | 2 | 10 | 0 | 52 | 37 | 17 | 26 | 10.81% | 5 | 8.79 | 0 | 0 | 0 | 0 | 1 | 1 | 40 | 0 | 1 | 40.43% | 1 | 0 | 0.18 | 0 | 0 | 0.18 | |||
14 | Filip Chytil | Comets (NJD) | C/LW | 11 | 2 | 4 | 6 | 1 | 2 | 0 | 29 | 24 | 4 | 22 | 8.33% | 3 | 13.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.66 | |||
15 | Kim Nousiainen | Comets (NJD) | D | 50 | 0 | 6 | 6 | 5 | 11 | 5 | 28 | 18 | 2 | 4 | 0.00% | 30 | 14.38 | 0 | 0 | 0 | 0 | 2 | 2 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.13 | |||
16 | Riley Sutter | Comets (NJD) | RW | 55 | 3 | 2 | 5 | 0 | 7 | 5 | 67 | 12 | 1 | 12 | 25.00% | 5 | 7.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.09 | 0 | 0 | 0.09 | |||
17 | Andrew Nielsen | Comets (NJD) | D | 43 | 0 | 3 | 3 | 4 | 6 | 0 | 21 | 4 | 2 | 2 | 0.00% | 2 | 9.43 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.07 | |||
18 | Anthony Costantini | Comets (NJD) | D | 5 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 0 | 9.95 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.31 | |||
19 | David Spacek | Comets (NJD) | D | 20 | 0 | 1 | 1 | 6 | 0 | 0 | 15 | 8 | 3 | 6 | 0.00% | 10 | 14.69 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.20 | |||
20 | Andrew Lucas | Comets (NJD) | D | 5 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 3 | 1 | 1 | 0.00% | 1 | 15.53 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
21 | Connor McMichael | Comets (NJD) | C/LW | 14 | 0 | 0 | 0 | -2 | 2 | 0 | 8 | 3 | 1 | 7 | 0.00% | 1 | 5.52 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 51.85% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
22 | Samuel Helenius | Comets (NJD) | C | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
23 | Rory Kerins | Comets (NJD) | C | 9 | 0 | 0 | 0 | -3 | 2 | 0 | 5 | 0 | 0 | 0 | 0.00% | 0 | 3.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.15 | |||
Team Total or Average | 945 | 158 | 242 | 400 | -10 | 302 | 90 | 1378 | 1370 | 453 | 851 | 11.53% | 401 | 16.10 | 30 | 45 | 75 | 1063 | 4 | 7 | 11 | 668 | 23 | 12 | 48.48% | 2665 | 334 | 262 | 3 | 0 | 0.53 | 10 | 41 |
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 | Filip Lindberg | Comets (NJD) | 27 | 11 | 10 | 2 | 0.879 | 2.88 | 1377 | 0 | 2 | 66 | 546 | 302 | 2 | 0 | 0.692 | 13 | 23 | 30 | 0 | 0 | 2 |
2 | Trent Miner | Comets (NJD) | 3 | 1 | 0 | 0 | 0.880 | 2.00 | 90 | 0 | 0 | 3 | 25 | 13 | 1 | 0 | 0.000 | 0 | 0 | 25 | 0 | 0 | 0 |
Team Total or Average | 30 | 12 | 10 | 2 | 0.879 | 2.82 | 1468 | 0 | 2 | 69 | 571 | 315 | 3 | 0 | 0.692 | 13 | 23 | 55 | 0 | 0 | 2 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Aku Raty | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Andrew Lucas | D | 25 | 975,000$ | 975,000$ | RFA | ||||||
Andrew Nielsen | D | 27 | 975,000$ | 975,000$ | UFA | ||||||
Anthony Costantini | D | 21 | 975,000$ | 975,000$ | RFA | ||||||
Brady Lyle | D | 25 | 0$ | RFA | |||||||
Brett Berard | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Connor McMichael | C/LW | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | RFA | |||||
David Spacek | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Fabian Lysell | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Filip Chytil | C/LW | 24 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | ||||
Filip Kral | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Filip Lindberg | G | 25 | 975,000$ | 975,000$ | RFA | ||||||
Judd Caulfield | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Justin Sourdif | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Juuso Parssinen | C | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Kim Nousiainen | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Logan Stankoven | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Lukas Cormier | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Marian Studenic | LW/RW | 25 | 0$ | RFA | |||||||
Oskar Pettersson | RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Riley Sutter | RW | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Rory Kerins | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ryan Johnson | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ryan Winterton | C | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Samuel Fagemo | LW/RW | 24 | 1,575,000$ | 1,575,000$ | 1,575,000$ | RFA | |||||
Samuel Helenius | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Trent Miner | G | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Zayde Wisdom | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 21 | 60 | 78 | 15 | 26 | 357 | 548 | 527 | 52 | 16 | 9 | 4 | 35 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 66.7% | 11.5% | 93.8% | 105.3 | LUCKY |
2 | Moose | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 21 | 60 | 78 | 15 | 47 | 357 | 548 | 527 | 52 | 35 | 6 | 28 | 47 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 28.6% | 6.4% | 80.0% | 86.4 | Unlucky |
3 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 21 | 60 | 78 | 15 | 19 | 357 | 548 | 527 | 52 | 35 | 11 | 14 | 28 | 2 | 1 | 50.00% | 7 | 3 | 57.14% | 1 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 40.0% | 15.8% | 82.9% | 98.6 | FUN |
4 | Americans | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 14 | 15 | -1 | 4 | 0.667 | 14 | 21 | 35 | 0 | 0 | 21 | 60 | 78 | 15 | 85 | 357 | 548 | 527 | 52 | 88 | 35 | 19 | 84 | 15 | 3 | 20.00% | 7 | 2 | 71.43% | 1 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 45.8% | 16.5% | 83.0% | 99.4 | FUN |
5 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 21 | 60 | 78 | 15 | 36 | 357 | 548 | 527 | 52 | 6 | 3 | 8 | 29 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 100.0% | 8.3% | 83.3% | 91.7 | Unlucky |
6 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 21 | 60 | 78 | 15 | 60 | 357 | 548 | 527 | 52 | 55 | 23 | 11 | 55 | 8 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 28.6% | 3.3% | 89.1% | 92.4 | Unlucky |
7 | IceHogs | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 21 | 60 | 78 | 15 | 32 | 357 | 548 | 527 | 52 | 18 | 6 | 2 | 31 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 66.7% | 6.3% | 94.4% | 100.7 | DULL |
8 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 21 | 60 | 78 | 15 | 23 | 357 | 548 | 527 | 52 | 11 | 6 | 4 | 29 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 71.4% | 21.7% | 81.8% | 103.6 | FUN |
9 | Monsters | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 21 | 60 | 78 | 15 | 110 | 357 | 548 | 527 | 52 | 83 | 16 | 25 | 124 | 9 | 4 | 44.44% | 10 | 2 | 80.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 35.7% | 8.2% | 86.7% | 94.9 | Unlucky |
10 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 21 | 60 | 78 | 15 | 14 | 357 | 548 | 527 | 52 | 14 | 3 | 4 | 39 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 1 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 100.0% | 21.4% | 92.9% | 114.3 | LUCKY |
11 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 21 | 60 | 78 | 15 | 70 | 357 | 548 | 527 | 52 | 62 | 21 | 26 | 50 | 9 | 5 | 55.56% | 8 | 1 | 87.50% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 16.7% | 8.6% | 90.3% | 98.9 | Unlucky |
12 | Condors | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 21 | 60 | 78 | 15 | 47 | 357 | 548 | 527 | 52 | 37 | 12 | 9 | 65 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 45.5% | 14.9% | 83.8% | 98.7 | FUN |
13 | Checkers 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 21 | 60 | 78 | 15 | 22 | 357 | 548 | 527 | 52 | 25 | 5 | 2 | 34 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 33.3% | 4.5% | 88.0% | 92.5 | Unlucky |
14 | Reign | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 21 | 60 | 78 | 15 | 32 | 357 | 548 | 527 | 52 | 20 | 7 | 9 | 25 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 50.0% | 9.4% | 80.0% | 89.4 | FUN |
15 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 21 | 60 | 78 | 15 | 51 | 357 | 548 | 527 | 52 | 47 | 20 | 23 | 58 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 50.0% | 11.8% | 87.2% | 99.0 | FUN |
16 | Rocket | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 16 | 27 | 0 | 1 | 21 | 60 | 78 | 15 | 77 | 357 | 548 | 527 | 52 | 69 | 14 | 18 | 93 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 55.0% | 14.3% | 87.0% | 101.2 | FUN |
17 | Admirals | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 14 | -7 | 1 | 0.167 | 7 | 14 | 21 | 0 | 0 | 21 | 60 | 78 | 15 | 89 | 357 | 548 | 527 | 52 | 83 | 26 | 24 | 88 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 27.8% | 7.9% | 83.1% | 91.0 | Unlucky |
18 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 4 | 1.000 | 5 | 8 | 13 | 0 | 2 | 21 | 60 | 78 | 15 | 35 | 357 | 548 | 527 | 52 | 18 | 7 | 8 | 74 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
19 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 21 | 60 | 78 | 15 | 57 | 357 | 548 | 527 | 52 | 56 | 28 | 15 | 39 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 55.6% | 10.5% | 91.1% | 101.6 | Unlucky |
20 | Belleville Senators | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 21 | 60 | 78 | 15 | 42 | 357 | 548 | 527 | 52 | 54 | 14 | 10 | 47 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 16.7% | 7.1% | 90.7% | 97.9 | Unlucky |
21 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 21 | 60 | 78 | 15 | 27 | 357 | 548 | 527 | 52 | 14 | 7 | 0 | 31 | 5 | 2 | 40.00% | 0 | 0 | 0.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 50.0% | 18.5% | 78.6% | 97.1 | FUN |
22 | Roadrunners | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 21 | 60 | 78 | 15 | 68 | 357 | 548 | 527 | 52 | 42 | 12 | 10 | 48 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 61.1% | 17.6% | 81.0% | 98.6 | FUN |
23 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 21 | 60 | 78 | 15 | 34 | 357 | 548 | 527 | 52 | 23 | 7 | 4 | 21 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 33.3% | 2.9% | 91.3% | 94.2 | DULL |
24 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 21 | 60 | 78 | 15 | 55 | 357 | 548 | 527 | 52 | 76 | 34 | 11 | 49 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 53.8% | 14.5% | 90.8% | 105.3 | FUN |
25 | Crunch | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 0.667 | 7 | 9 | 16 | 0 | 1 | 21 | 60 | 78 | 15 | 58 | 357 | 548 | 527 | 52 | 55 | 31 | 13 | 49 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 70.0% | 12.1% | 94.5% | 106.6 | LUCKY |
26 | Marlies | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 21 | 60 | 78 | 15 | 51 | 357 | 548 | 527 | 52 | 81 | 24 | 16 | 45 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 42.9% | 11.8% | 88.9% | 100.7 | FUN |
27 | Canucks | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 23 | 38 | 1 | 0 | 21 | 60 | 78 | 15 | 119 | 357 | 548 | 527 | 52 | 113 | 28 | 29 | 142 | 12 | 4 | 33.33% | 13 | 3 | 76.92% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 45.8% | 12.6% | 85.8% | 98.4 | FUN |
28 | Hershey Bears | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 21 | 60 | 78 | 15 | 32 | 357 | 548 | 527 | 52 | 32 | 19 | 9 | 26 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 66.7% | 12.5% | 90.6% | 103.1 | FUN |
29 | Silver Knights | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 21 | 60 | 78 | 15 | 25 | 357 | 548 | 527 | 52 | 21 | 15 | 4 | 20 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 50.0% | 16.0% | 85.7% | 101.7 | FUN |
_Vs Division | 12 | 7 | 9 | 0 | 0 | 0 | 2 | 4 | 31 | 28 | 3 | 22 | 0.917 | 31 | 53 | 84 | 0 | 2 | 21 | 60 | 78 | 15 | 321 | 357 | 548 | 527 | 52 | 258 | 100 | 68 | 349 | 30 | 7 | 23.33% | 24 | 5 | 79.17% | 0 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 51.1% | 9.7% | 89.1% | 98.8 | FUN | |
_Vs Conference | 32 | 11 | 14 | 0 | 1 | 0 | 2 | 4 | 91 | 94 | -3 | 32 | 0.500 | 91 | 141 | 232 | 1 | 4 | 21 | 60 | 78 | 15 | 794 | 357 | 548 | 527 | 52 | 778 | 262 | 189 | 871 | 87 | 17 | 19.54% | 68 | 15 | 77.94% | 3 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 48.4% | 11.5% | 87.9% | 99.4 | FUN | |
_Since Last GM Reset | 55 | 21 | 21 | 0 | 3 | 1 | 2 | 7 | 164 | 163 | 1 | 60 | 0.545 | 164 | 260 | 424 | 1 | 4 | 21 | 60 | 78 | 15 | 1443 | 357 | 548 | 527 | 52 | 1289 | 449 | 359 | 1505 | 149 | 34 | 22.82% | 120 | 25 | 79.17% | 4 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 48.5% | 11.4% | 87.4% | 98.7 | FUN | |
Total | 55 | 21 | 21 | 0 | 3 | 1 | 2 | 7 | 164 | 163 | 1 | 60 | 0.545 | 164 | 260 | 424 | 1 | 4 | 21 | 60 | 78 | 15 | 1443 | 357 | 548 | 527 | 52 | 1289 | 449 | 359 | 1505 | 149 | 34 | 22.82% | 120 | 25 | 79.17% | 4 | 509 | 1040 | 48.94% | 438 | 890 | 49.21% | 346 | 707 | 48.94% | 1107 | 533 | 1039 | 570 | 1200 | 580 | 48.5% | 11.4% | 87.4% | 98.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 21 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 1040 |
Neutral Zone Start | 707 |
Defensive Zone Start | 890 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1293 |
Faceoffs Lost | 1344 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.5 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 26.0 | 30.68 |
Overtime | 27.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 125 |
---|---|
PP Goal | 34 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 10 |
Lost | 10 | 11 |
Overtime Lost | 2 | 6 |
PP Attempt | 149 |
---|---|
PP Goal | 34 |
PK Attempt | 120 |
PK Goal Against | 25 |
Home | |
---|---|
Shots For | 26.2 |
Shots Against | 23.4 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 27.4 |
Shots Blocked | 8.2 |
Pim | 6.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | NJD | @ | VAN | NJD0,VAN2 | RECAP | |||||||||
Tue, Oct 15 | OTT | @ | NJD | OTT1,NJD0 | RECAP | |||||||||
Thu, Oct 17 | TAM | @ | NJD | TAM2,NJD0 | RECAP | |||||||||
Sat, Oct 19 | NJD | @ | VAN | NJD4,VAN5 | RECAP | |||||||||
Sun, Oct 20 | BUF | @ | NJD | BUF5,NJD4 (SO) | RECAP | |||||||||
Tue, Oct 22 | S J | @ | NJD | S J2,NJD1 | RECAP | |||||||||
Wed, Oct 23 | NJD | @ | CLB | NJD2,CLB1 | RECAP | |||||||||
Fri, Oct 25 | NJD | @ | BUF | NJD5,BUF6 (SO) | RECAP | |||||||||
Sun, Oct 27 | NJD | @ | TOR | NJD3,TOR4 (SO) | RECAP | |||||||||
Tue, Oct 29 | NJD | @ | NAS | NJD2,NAS5 | RECAP | |||||||||
Thu, Oct 31 | VAN | @ | NJD | VAN3,NJD5 | RECAP | |||||||||
Sat, Nov 2 | CAL | @ | NJD | CAL1,NJD3 | RECAP | |||||||||
Tue, Nov 5 | NJD | @ | MTL | NJD7,MTL3 | RECAP | |||||||||
Wed, Nov 6 | CLB | @ | NJD | CLB2,NJD4 | RECAP | |||||||||
Sat, Nov 9 | MTL | @ | NJD | MTL6,NJD2 | RECAP | |||||||||
Mon, Nov 11 | NJD | @ | TAM | NJD4,TAM0 | RECAP | |||||||||
Tue, Nov 12 | NAS | @ | NJD | NAS5,NJD4 (SO) | RECAP | |||||||||
Fri, Nov 15 | NJD | @ | CAR | NJD2,CAR4 | RECAP | |||||||||
Sat, Nov 16 | EDM | @ | NJD | EDM1,NJD3 | RECAP | |||||||||
Mon, Nov 18 | NJD | @ | BOS | NJD3,BOS6 | RECAP | |||||||||
Wed, Nov 20 | NJD | @ | ANA | NJD3,ANA1 | RECAP | |||||||||
Fri, Nov 22 | NJD | @ | PHO | NJD5,PHO3 | RECAP | |||||||||
Sun, Nov 24 | MTL | @ | NJD | MTL0,NJD2 | RECAP | |||||||||
Tue, Nov 26 | NYR | @ | NJD | NYR1,NJD3 | RECAP | |||||||||
Thu, Nov 28 | NJD | @ | WPG | NJD0,WPG1 (SO) | RECAP | |||||||||
Sat, Nov 30 | BUF | @ | NJD | BUF4,NJD5 (SO) | RECAP | |||||||||
Tue, Dec 3 | WAS | @ | NJD | WAS3,NJD4 (OT) | RECAP | |||||||||
Thu, Dec 5 | NJD | @ | CLB | NJD2,CLB5 | RECAP | |||||||||
Sat, Dec 7 | NJD | @ | NYR | NJD3,NYR4 | RECAP | |||||||||
Sun, Dec 8 | NJD | @ | EDM | NJD4,EDM5 (OT) | RECAP | |||||||||
Tue, Dec 10 | COL | @ | NJD | COL2,NJD5 | RECAP | |||||||||
Fri, Dec 13 | WPG | @ | NJD | WPG6,NJD3 | RECAP | |||||||||
Sun, Dec 15 | VAN | @ | NJD | VAN4,NJD3 | RECAP | |||||||||
Tue, Dec 17 | NJD | @ | LOS | NJD3,LOS4 (SO) | RECAP | |||||||||
Thu, Dec 19 | DET | @ | NJD | DET2,NJD4 | RECAP | |||||||||
Sat, Dec 21 | NJD | @ | CHI | NJD4,CHI3 (OT) | RECAP | |||||||||
Tue, Dec 24 | NJD | @ | NAS | NJD1,NAS4 | RECAP | |||||||||
Thu, Dec 26 | PHO | @ | NJD | PHO5,NJD7 | RECAP | |||||||||
Sat, Dec 28 | DAL | @ | NJD | DAL1,NJD3 | RECAP | |||||||||
Mon, Dec 30 | NJD | @ | OTT | NJD3,OTT4 (SO) | RECAP | |||||||||
Wed, Jan 1 | TAM | @ | NJD | TAM1,NJD3 | RECAP | |||||||||
Thu, Jan 2 | NJD | @ | STL | NJD6,STL3 | RECAP | |||||||||
Sun, Jan 5 | CAR | @ | NJD | CAR2,NJD0 | RECAP | |||||||||
Tue, Jan 7 | NJD | @ | TOR | NJD3,TOR5 | RECAP | |||||||||
Wed, Jan 8 | NJD | @ | VAN | NJD3,VAN2 (SO) | RECAP | |||||||||
Fri, Jan 10 | STL | @ | NJD | STL4,NJD2 | RECAP | |||||||||
Mon, Jan 13 | NYI | @ | NJD | NYI0,NJD2 | RECAP | |||||||||
Tue, Jan 14 | NJD | @ | DET | NJD2,DET4 | RECAP | |||||||||
Thu, Jan 16 | CLB | @ | NJD | CLB3,NJD1 | RECAP | |||||||||
Sat, Jan 18 | NJD | @ | NYI | NJD3,NYI0 | RECAP | |||||||||
Mon, Jan 20 | FLO | @ | NJD | FLO3,NJD1 | RECAP | |||||||||
Wed, Jan 22 | NJD | @ | MIN | NJD2,MIN4 | RECAP | |||||||||
Thu, Jan 23 | NJD | @ | CHI | NJD2,CHI1 (OT) | RECAP | |||||||||
Sat, Jan 25 | PHI | @ | NJD | PHI3,NJD5 | RECAP | |||||||||
Mon, Jan 27 | MIN | @ | NJD | MIN2,NJD4 | RECAP | |||||||||
Thu, Jan 30 | NJD | @ | BUF | |||||||||||
Sat, Feb 1 | CHI | @ | NJD | |||||||||||
Mon, Feb 3 | NJD | @ | COL | |||||||||||
Wed, Feb 5 | OTT | @ | NJD | |||||||||||
Thu, Feb 6 | NJD | @ | FLO | |||||||||||
Sun, Feb 9 | OTT | @ | NJD | |||||||||||
Mon, Feb 10 | NJD | @ | S J | |||||||||||
Thu, Feb 13 | S J | @ | NJD | |||||||||||
Sat, Feb 15 | NJD | @ | OTT | |||||||||||
Sun, Feb 16 | CHI | @ | NJD | |||||||||||
Thu, Feb 20 | PIT | @ | NJD | |||||||||||
Sun, Feb 23 | NJD | @ | CAL | |||||||||||
Mon, Feb 24 | CAL | @ | NJD | |||||||||||
Fri, Feb 28 | NJD | @ | SEA | |||||||||||
Sat, Mar 1 | BOS | @ | NJD | |||||||||||
Tue, Mar 4 | NJD | @ | DAL | |||||||||||
Wed, Mar 5 | LOS | @ | NJD | |||||||||||
Sun, Mar 9 | ANA | @ | NJD | |||||||||||
Mon, Mar 10 | NJD | @ | MTL | |||||||||||
Thu, Mar 13 | NJD | @ | PHI | |||||||||||
Sat, Mar 15 | SEA | @ | NJD | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Mar 19 | TOR | @ | NJD | |||||||||||
Thu, Mar 20 | NJD | @ | PIT | |||||||||||
Fri, Mar 21 | NJD | @ | WAS | |||||||||||
Sun, Mar 23 | NJD | @ | TAM | |||||||||||
Mon, Mar 24 | NJD | @ | WAS | |||||||||||
Thu, Mar 27 | TOR | @ | NJD |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,072,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Utica | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,072,500$ | 3,072,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,126,099$ | 0$ | 1,803,581$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 21,139$ | 1,268,340$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,268,340$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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