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Full Scoreboard »» |
San Diego Gulls 23-23-10, 56pts · 10th in Conference 2 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Filip Zadina | 0 | LW/RW | 100.00 | 71 | 44 | 88 | 76 | 79 | 83 | 82 | 77 | 47 | 69 | 70 | 66 | 74 | 73 | 63 | 1 | 50 | 71 | 24 | 3,100,000$/4yrs | |||
Matthew Knies | 0 | LW/RW | 97.00 | 73 | 49 | 72 | 73 | 86 | 82 | 71 | 76 | 40 | 71 | 69 | 68 | 72 | 55 | 50 | 1 | 50 | 69 | 21 | 975,000$/2yrs | |||
Rasmus Kupari | 0 | C/LW/RW | 97.00 | 72 | 43 | 84 | 73 | 84 | 79 | 75 | 69 | 74 | 65 | 61 | 69 | 68 | 63 | 54 | 1 | 50 | 67 | 24 | 2,000,000$/3yrs | |||
Justin Bailey | 0 | RW | 97.00 | 72 | 42 | 81 | 68 | 79 | 76 | 79 | 69 | 47 | 65 | 63 | 64 | 66 | 73 | 64 | 1 | 50 | 66 | 29 | 3,000,000$/4yrs | |||
Vitali Kravtsov | 0 | LW/RW | 97.00 | 66 | 40 | 80 | 71 | 76 | 76 | 71 | 68 | 40 | 63 | 63 | 65 | 68 | 57 | 52 | 1 | 50 | 65 | 24 | 3,000,000$/4yrs | |||
Andrew Poturalski | 0 | C | 97.00 | 58 | 44 | 70 | 71 | 60 | 70 | 69 | 65 | 52 | 66 | 58 | 65 | 65 | 63 | 56 | 1 | 50 | 63 | 30 | 1,500,000$/1yrs | |||
Alex Turcotte | 0 | C | 97.00 | 59 | 42 | 72 | 73 | 72 | 71 | 62 | 64 | 51 | 60 | 58 | 64 | 65 | 56 | 50 | 1 | 50 | 62 | 23 | 1,200,000$/4yrs | |||
Wyatt Bongiovanni | 0 | C | 100.00 | 58 | 42 | 67 | 64 | 63 | 64 | 63 | 61 | 46 | 54 | 59 | 53 | 61 | 52 | 50 | 1 | 50 | 58 | 24 | 1,500,000$/4yrs | |||
Xavier Parent | 0 | C/LW/RW | 98.00 | 54 | 44 | 66 | 69 | 56 | 64 | 62 | 62 | 43 | 60 | 56 | 53 | 62 | 51 | 50 | 1 | 50 | 58 | 23 | 1,500,000$/4yrs | |||
Andrej Sustr | 0 | D | 100.00 | 63 | 47 | 68 | 63 | 76 | 74 | 73 | 63 | 40 | 59 | 56 | 69 | 60 | 71 | 61 | 1 | 50 | 65 | 33 | 1,000,000$/3yrs | |||
Riley Stillman | 0 | D | 97.00 | 64 | 56 | 65 | 69 | 71 | 74 | 71 | 63 | 40 | 58 | 57 | 66 | 63 | 60 | 54 | 1 | 50 | 64 | 26 | 3,000,000$/4yrs | |||
Yanni Kaldis | 0 | D | 98.00 | 55 | 47 | 67 | 71 | 61 | 67 | 66 | 62 | 40 | 62 | 56 | 65 | 63 | 55 | 50 | 1 | 50 | 62 | 28 | 1,500,000$/4yrs | |||
Brenden Miller | 0 | D | 100.00 | 59 | 55 | 58 | 65 | 63 | 69 | 67 | 58 | 40 | 53 | 52 | 65 | 58 | 63 | 53 | 1 | 50 | 60 | 30 | 1,000,000$/3yrs | |||
Alex Kannok Leipert | 0 | D | 100.00 | 62 | 50 | 62 | 67 | 65 | 62 | 59 | 56 | 40 | 51 | 50 | 63 | 58 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/3yrs | |||
Andy Carroll | 0 | D | 100.00 | 59 | 40 | 68 | 66 | 62 | 62 | 60 | 55 | 40 | 54 | 53 | 62 | 58 | 53 | 50 | 1 | 50 | 59 | 27 | 1,000,000$/3yrs | |||
Guillaume Brisebois | 0 | D | 100.00 | 58 | 43 | 70 | 67 | 61 | 63 | 60 | 54 | 40 | 50 | 51 | 63 | 58 | 54 | 50 | 1 | 50 | 58 | 26 | 1,200,000$/3yrs | |||
Adam Smith | 0 | D | 100.00 | 59 | 40 | 68 | 62 | 62 | 62 | 61 | 54 | 40 | 53 | 53 | 60 | 56 | 54 | 50 | 1 | 50 | 58 | 28 | 1,000,000$/3yrs | |||
Andrew Perrott | 0 | D | 100.00 | 62 | 43 | 65 | 64 | 66 | 59 | 56 | 56 | 40 | 52 | 53 | 61 | 58 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Vincent Arseneau | 0 | LW | 100.00 | 61 | 55 | 57 | 58 | 68 | 69 | 68 | 57 | 40 | 52 | 54 | 56 | 56 | 64 | 56 | 1 | 50 | 57 | 32 | 1,000,000$/1yrs | |||
Zach Solow | 0 | RW | 100.00 | 56 | 54 | 58 | 64 | 60 | 65 | 63 | 60 | 42 | 57 | 55 | 55 | 60 | 52 | 50 | 1 | 50 | 57 | 25 | 1,500,000$/4yrs | |||
Jack Becker | 0 | C/LW/RW | 100.00 | 59 | 41 | 68 | 59 | 65 | 64 | 62 | 56 | 41 | 52 | 52 | 54 | 56 | 54 | 50 | 1 | 50 | 56 | 27 | ||||
Matt Rempe | 0 | C/RW | 100.00 | 66 | 60 | 55 | 59 | 71 | 62 | 61 | 58 | 41 | 52 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/2yrs | |||
Kale Howarth | 0 | LW | 100.00 | 60 | 40 | 70 | 59 | 66 | 63 | 61 | 55 | 40 | 52 | 51 | 53 | 55 | 54 | 50 | 1 | 50 | 55 | 27 | 975,000$/1yrs | |||
Zach Tsekos | 0 | C | 100.00 | 56 | 40 | 68 | 64 | 57 | 62 | 60 | 54 | 47 | 53 | 53 | 54 | 57 | 53 | 50 | 1 | 50 | 55 | 27 | 1,000,000$/4yrs | |||
Maxim Cajkovic | 0 | RW | 100.00 | 58 | 42 | 63 | 59 | 60 | 57 | 55 | 54 | 40 | 51 | 51 | 52 | 54 | 51 | 50 | 1 | 50 | 54 | 23 | 975,000$/1yrs | |||
Kody Clark | 0 | RW | 100.00 | 51 | 45 | 51 | 53 | 52 | 53 | 51 | 51 | 40 | 51 | 50 | 51 | 51 | 50 | 50 | 1 | 50 | 51 | 24 | 1,250,000$/1yrs | |||
Zach Giuttari | 0 | D | 100.00 | 61 | 44 | 71 | 68 | 63 | 67 | 67 | 62 | 40 | 57 | 52 | 68 | 61 | 55 | 50 | 1 | 50 | 62 | 28 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cal Petersen | 0 | 100.00 | 79 | 73 | 73 | 67 | 73 | 73 | 73 | 72 | 73 | 75 | 71 | 64 | 57 | 1 | 50 | 67 | 29 | 1,800,000$/4yrs |
Louis Domingue | 0 | 100.00 | 71 | 71 | 72 | 67 | 70 | 71 | 73 | 70 | 71 | 71 | 69 | 65 | 58 | 1 | 50 | 65 | 32 | 1,800,000$/1yrs |
Scratches | ||||||||||||||||||||
Anton Khudobin | 0 | 100.00 | 65 | 70 | 70 | 66 | 67 | 67 | 69 | 67 | 68 | 67 | 71 | 79 | 72 | 1 | 50 | 63 | 38 | 1,500,000$/2yrs |
Tyler Parks | 0 | 100.00 | 62 | 66 | 66 | 71 | 66 | 64 | 65 | 62 | 64 | 65 | 66 | 61 | 56 | 1 | 50 | 60 | 32 | 1,500,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dallas Eakins | 77 | 77 | 76 | 79 | 84 | 79 | 1 | USA | 57 | 1 | 500,000$ |
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 | Matthew Knies | Gulls (ANA) | LW/RW | 56 | 15 | 23 | 38 | -14 | 47 | 25 | 75 | 127 | 34 | 80 | 11.81% | 17 | 23.24 | 7 | 8 | 15 | 3 | 0 | 3 | 73 | 3 | 2 | 38.03% | 0 | 0 | 0.68 | 1 | 9 | 0.46 | |||
2 | Rasmus Kupari | Gulls (ANA) | C/LW/RW | 56 | 15 | 19 | 34 | -11 | 7 | 5 | 77 | 115 | 30 | 66 | 13.04% | 28 | 24.05 | 5 | 10 | 15 | 0 | 2 | 2 | 77 | 5 | 1 | 55.16% | 0 | 1 | 0.61 | 3 | 6 | 0.55 | |||
3 | Andrew Poturalski | Gulls (ANA) | C | 56 | 7 | 11 | 18 | -17 | 24 | 10 | 68 | 47 | 21 | 28 | 14.89% | 8 | 20.17 | 5 | 7 | 12 | 0 | 0 | 0 | 10 | 2 | 0 | 47.52% | 0 | 0 | 0.32 | 3 | 9 | 0.12 | |||
4 | Vitali Kravtsov | Gulls (ANA) | LW/RW | 56 | 10 | 7 | 17 | -16 | 10 | 0 | 75 | 70 | 23 | 36 | 14.29% | 18 | 21.38 | 2 | 2 | 4 | 1 | 0 | 1 | 49 | 4 | 1 | 40.61% | 0 | 0 | 0.30 | 0 | 1 | 0.21 | |||
5 | Yanni Kaldis | Gulls (ANA) | D | 56 | 3 | 13 | 16 | -8 | 27 | 5 | 44 | 33 | 10 | 16 | 9.09% | 42 | 22.98 | 1 | 8 | 9 | 0 | 1 | 1 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.14 | |||
6 | Justin Bailey | Gulls (ANA) | RW | 56 | 1 | 12 | 13 | -14 | 0 | 0 | 56 | 38 | 13 | 24 | 2.63% | 18 | 19.33 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 55.56% | 0 | 0 | 0.23 | 0 | 2 | 0.14 | |||
7 | Xavier Parent | Gulls (ANA) | C/LW/RW | 56 | 7 | 6 | 13 | -10 | 10 | 0 | 72 | 65 | 22 | 44 | 10.77% | 12 | 18.58 | 1 | 2 | 3 | 0 | 0 | 0 | 17 | 1 | 1 | 48.00% | 0 | 0 | 0.23 | 0 | 0 | 0.20 | |||
8 | Alex Turcotte | Gulls (ANA) | C | 56 | 4 | 7 | 11 | -12 | 13 | 5 | 66 | 40 | 14 | 26 | 10.00% | 13 | 19.79 | 0 | 0 | 0 | 1 | 0 | 1 | 30 | 0 | 1 | 45.86% | 0 | 0 | 0.20 | 0 | 0 | 0.09 | |||
9 | Riley Stillman | Gulls (ANA) | D | 56 | 2 | 8 | 10 | -17 | 35 | 5 | 75 | 47 | 17 | 21 | 4.26% | 44 | 26.45 | 2 | 1 | 3 | 0 | 0 | 0 | 85 | 1 | 1 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.01 | |||
10 | Filip Zadina | Gulls (ANA) | LW/RW | 25 | 4 | 2 | 6 | -1 | 0 | 0 | 17 | 28 | 6 | 13 | 14.29% | 2 | 15.79 | 2 | 1 | 3 | 0 | 0 | 0 | 23 | 3 | 0 | 57.14% | 0 | 0 | 0.24 | 0 | 1 | 0.26 | |||
11 | Alex Kannok Leipert | Gulls (ANA) | D | 56 | 1 | 3 | 4 | 2 | 12 | 0 | 35 | 10 | 4 | 5 | 10.00% | 11 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 1 | 10.00% | 0 | 0 | 0.07 | 0 | 0 | 0.05 | |||
12 | Andrej Sustr | Gulls (ANA) | D | 55 | 0 | 4 | 4 | -14 | 20 | 10 | 32 | 13 | 8 | 10 | 0.00% | 21 | 18.74 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.07 | |||
13 | Guillaume Brisebois | Gulls (ANA) | D | 56 | 2 | 1 | 3 | -9 | 14 | 0 | 31 | 14 | 7 | 6 | 14.29% | 24 | 18.21 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | -0.03 | |||
14 | Brenden Miller | Gulls (ANA) | D | 56 | 0 | 3 | 3 | -10 | 31 | 5 | 35 | 16 | 9 | 4 | 0.00% | 23 | 19.23 | 0 | 0 | 0 | 0 | 2 | 2 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | -0.09 | |||
15 | Zach Solow | Gulls (ANA) | RW | 31 | 2 | 0 | 2 | 0 | 19 | 5 | 25 | 8 | 0 | 3 | 25.00% | 2 | 9.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.06 | 0 | 0 | -0.03 | |||
16 | Wyatt Bongiovanni | Gulls (ANA) | C | 56 | 0 | 1 | 1 | -3 | 6 | 0 | 36 | 8 | 5 | 6 | 0.00% | 2 | 10.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.46% | 0 | 0 | 0.02 | 0 | 0 | -0.01 | |||
17 | Vincent Arseneau | Gulls (ANA) | LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 0 | 19.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.18 | |||
18 | Adam Smith | Gulls (ANA) | D | 56 | 0 | 0 | 0 | -7 | 12 | 0 | 15 | 3 | 1 | 2 | 0.00% | 11 | 13.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
19 | Andrew Perrott | Gulls (ANA) | D | 56 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
20 | Andy Carroll | Gulls (ANA) | D | 56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
Team Total or Average | 1008 | 73 | 120 | 193 | -162 | 287 | 75 | 836 | 684 | 224 | 391 | 10.67% | 296 | 16.66 | 26 | 42 | 68 | 701 | 5 | 5 | 10 | 571 | 20 | 8 | 49.28% | 2027 | 189 | 296 | 0 | 1 | 0.23 | 7 | 28 |
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 | Cal Petersen | Gulls (ANA) | 54 | 23 | 22 | 9 | 0.907 | 1.64 | 3188 | 2 | 13 | 87 | 937 | 478 | 4 | 3 | 0.560 | 25 | 54 | 0 | 4 | 5 | 4 |
2 | Louis Domingue | Gulls (ANA) | 5 | 0 | 1 | 1 | 0.918 | 1.41 | 213 | 0 | 0 | 5 | 61 | 34 | 0 | 0 | 0.667 | 3 | 2 | 54 | 0 | 0 | 0 |
Team Total or Average | 59 | 23 | 23 | 10 | 0.908 | 1.62 | 3402 | 2 | 13 | 92 | 998 | 512 | 4 | 3 | 0.571 | 28 | 56 | 54 | 4 | 5 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Smith | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Alex Kannok Leipert | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Alex Turcotte | C | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||
Andrej Sustr | D | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Andrew Perrott | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Andrew Poturalski | C | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Andy Carroll | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Anton Khudobin | G | 38 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Brenden Miller | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Cal Petersen | G | 29 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
Filip Zadina | LW/RW | 24 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | UFA | |||
Guillaume Brisebois | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Jack Becker | C/LW/RW | 27 | 0$ | UFA | |||||||
Justin Bailey | RW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Kale Howarth | LW | 27 | 975,000$ | 975,000$ | UFA | ||||||
Kody Clark | RW | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Louis Domingue | G | 32 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Matt Rempe | C/RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Matthew Knies | LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Maxim Cajkovic | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Rasmus Kupari | C/LW/RW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | ||||
Riley Stillman | D | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Tyler Parks | G | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Vincent Arseneau | LW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Vitali Kravtsov | LW/RW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Wyatt Bongiovanni | C | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Xavier Parent | C/LW/RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||
Yanni Kaldis | D | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Zach Giuttari | D | 28 | 0$ | UFA | |||||||
Zach Solow | RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Zach Tsekos | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
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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 | Moose | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 11 | 34 | 22 | 13 | 10 | 135 | 271 | 259 | 47 | 10 | 2 | 0 | 14 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY |
2 | Bruins | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 11 | 34 | 22 | 13 | 13 | 135 | 271 | 259 | 47 | 40 | 17 | 2 | 13 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 33.3% | 23.1% | 95.0% | 118.1 | LUCKY |
3 | Americans | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 11 | 34 | 22 | 13 | 18 | 135 | 271 | 259 | 47 | 30 | 12 | 15 | 33 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 11.1% | 93.3% | 104.4 | LUCKY |
4 | Heat | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.333 | 2 | 4 | 6 | 0 | 1 | 11 | 34 | 22 | 13 | 22 | 135 | 271 | 259 | 47 | 43 | 10 | 17 | 45 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 9.1% | 93.0% | 102.1 | LUCKY |
5 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 11 | 34 | 22 | 13 | 19 | 135 | 271 | 259 | 47 | 44 | 5 | 18 | 16 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 28.6% | 10.5% | 84.1% | 94.6 | FUN |
6 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 11 | 34 | 22 | 13 | 34 | 135 | 271 | 259 | 47 | 28 | 3 | 8 | 29 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 11.8% | 89.3% | 101.1 | FUN |
7 | Eagles | 5 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 1 | 9 | -8 | 2 | 0.200 | 1 | 2 | 3 | 1 | 0 | 11 | 34 | 22 | 13 | 46 | 135 | 271 | 259 | 47 | 90 | 39 | 18 | 75 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 10.0% | 2.2% | 90.0% | 92.2 | Unlucky |
8 | Monsters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 2 | 3 | 5 | 0 | 2 | 11 | 34 | 22 | 13 | 29 | 135 | 271 | 259 | 47 | 9 | 2 | 2 | 32 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 100.0% | 6.9% | 100.0% | 106.9 | DULL |
9 | Stars | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | -2 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 11 | 34 | 22 | 13 | 11 | 135 | 271 | 259 | 47 | 13 | 9 | 9 | 35 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 25.0% | 9.1% | 76.9% | 86.0 | FUN |
10 | Griffins | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 11 | 34 | 22 | 13 | 26 | 135 | 271 | 259 | 47 | 26 | 11 | 6 | 25 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 7.7% | 88.5% | 96.2 | Unlucky |
11 | Condors | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.167 | 2 | 3 | 5 | 0 | 0 | 11 | 34 | 22 | 13 | 33 | 135 | 271 | 259 | 47 | 39 | 13 | 8 | 31 | 2 | 1 | 50.00% | 4 | 2 | 50.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 20.0% | 6.1% | 84.6% | 90.7 | Unlucky |
12 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 11 | 34 | 22 | 13 | 38 | 135 | 271 | 259 | 47 | 35 | 9 | 11 | 34 | 7 | 4 | 57.14% | 3 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 40.0% | 15.8% | 91.4% | 107.2 | LUCKY |
13 | Reign | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 5 | 6 | 1.000 | 6 | 9 | 15 | 0 | 2 | 11 | 34 | 22 | 13 | 24 | 135 | 271 | 259 | 47 | 22 | 6 | 9 | 39 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 1 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 80.0% | 25.0% | 95.5% | 120.5 | LUCKY |
14 | Wild | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 11 | 34 | 22 | 13 | 13 | 135 | 271 | 259 | 47 | 9 | 4 | 0 | 18 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 0.0% | 7.7% | 77.8% | 85.5 | Unlucky |
15 | Rocket | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 4 | 6 | 10 | 1 | 1 | 11 | 34 | 22 | 13 | 24 | 135 | 271 | 259 | 47 | 17 | 3 | 14 | 23 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 1 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 75.0% | 16.7% | 88.2% | 104.9 | FUN |
16 | Admirals | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 11 | 34 | 22 | 13 | 25 | 135 | 271 | 259 | 47 | 32 | 5 | 24 | 29 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 42.9% | 16.0% | 87.5% | 103.5 | FUN |
17 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 11 | 34 | 22 | 13 | 16 | 135 | 271 | 259 | 47 | 26 | 12 | 2 | 18 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 33.3% | 6.3% | 88.5% | 94.7 | Unlucky |
18 | Islanders | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 11 | 34 | 22 | 13 | 7 | 135 | 271 | 259 | 47 | 5 | 0 | 0 | 12 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
19 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 11 | 34 | 22 | 13 | 31 | 135 | 271 | 259 | 47 | 66 | 11 | 8 | 38 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 0.0% | 3.2% | 84.8% | 88.1 | Unlucky |
20 | Phantoms | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 11 | 34 | 22 | 13 | 16 | 135 | 271 | 259 | 47 | 27 | 7 | 15 | 39 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 6.3% | 96.3% | 102.5 | DULL |
21 | Roadrunners | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 5 | 10 | -5 | 3 | 0.500 | 5 | 8 | 13 | 0 | 0 | 11 | 34 | 22 | 13 | 30 | 135 | 271 | 259 | 47 | 71 | 18 | 10 | 37 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 33.3% | 16.7% | 85.9% | 102.6 | FUN |
22 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 11 | 34 | 22 | 13 | 35 | 135 | 271 | 259 | 47 | 48 | 19 | 27 | 19 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 1 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 57.1% | 17.1% | 89.6% | 106.7 | FUN |
23 | Barracuda | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 3 | 6 | -3 | 3 | 0.375 | 3 | 4 | 7 | 1 | 1 | 11 | 34 | 22 | 13 | 44 | 135 | 271 | 259 | 47 | 41 | 7 | 8 | 57 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 28.6% | 6.8% | 85.4% | 92.2 | Unlucky |
24 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 11 | 34 | 22 | 13 | 13 | 135 | 271 | 259 | 47 | 34 | 10 | 23 | 21 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 15.4% | 91.2% | 106.6 | LUCKY |
25 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 11 | 34 | 22 | 13 | 10 | 135 | 271 | 259 | 47 | 6 | 0 | 4 | 17 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 0.0% | 10.0% | 100.0% | 110.0 | LUCKY |
26 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 11 | 34 | 22 | 13 | 21 | 135 | 271 | 259 | 47 | 44 | 18 | 11 | 16 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 50.0% | 19.0% | 93.2% | 112.2 | LUCKY |
27 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 11 | 34 | 22 | 13 | 17 | 135 | 271 | 259 | 47 | 28 | 7 | 2 | 16 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 0.0% | 5.9% | 92.9% | 98.7 | DULL |
28 | Hershey Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 11 | 34 | 22 | 13 | 23 | 135 | 271 | 259 | 47 | 45 | 15 | 6 | 10 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 33.3% | 13.0% | 95.6% | 108.6 | LUCKY |
29 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 11 | 34 | 22 | 13 | 11 | 135 | 271 | 259 | 47 | 10 | 1 | 2 | 16 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 0.0% | 9.1% | 100.0% | 109.1 | LUCKY |
30 | Checkers 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 11 | 34 | 22 | 13 | 25 | 135 | 271 | 259 | 47 | 63 | 21 | 10 | 29 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 37.5% | 12.0% | 90.5% | 102.5 | FUN |
_Vs Conference | 34 | 5 | 15 | 0 | 3 | 4 | 2 | 5 | 38 | 59 | -21 | 29 | 0.426 | 38 | 59 | 97 | 2 | 6 | 11 | 34 | 22 | 13 | 367 | 135 | 271 | 259 | 47 | 531 | 159 | 152 | 500 | 42 | 10 | 23.81% | 46 | 10 | 78.26% | 3 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 36.4% | 10.4% | 88.9% | 99.2 | FUN | |
_Since Last GM Reset | 56 | 14 | 23 | 0 | 6 | 4 | 3 | 6 | 76 | 101 | -25 | 56 | 0.500 | 76 | 120 | 196 | 3 | 13 | 11 | 34 | 22 | 13 | 684 | 135 | 271 | 259 | 47 | 1001 | 296 | 289 | 836 | 95 | 26 | 27.37% | 92 | 17 | 81.52% | 5 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 37.3% | 11.1% | 89.9% | 101.0 | FUN | |
Total | 56 | 14 | 23 | 0 | 6 | 4 | 3 | 6 | 76 | 101 | -25 | 56 | 0.500 | 76 | 120 | 196 | 3 | 13 | 11 | 34 | 22 | 13 | 684 | 135 | 271 | 259 | 47 | 1001 | 296 | 289 | 836 | 95 | 26 | 27.37% | 92 | 17 | 81.52% | 5 | 321 | 682 | 47.07% | 420 | 829 | 50.66% | 258 | 474 | 54.43% | 915 | 298 | 1049 | 629 | 1445 | 732 | 37.3% | 11.1% | 89.9% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 16 |
Neutral Zone | 25 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 682 |
Neutral Zone Start | 474 |
Defensive Zone Start | 829 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 999 |
Faceoffs Lost | 986 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.4 | 9.57 |
2nd Period | 7.3 | 20.31 |
3rd Period | 11.9 | 30.68 |
Overtime | 12.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 0.8 | 1.65 |
3rd Period | 1.2 | 2.67 |
Overtime | 1.4 | 2.83 |
Even Strenght Goal | 42 |
---|---|
PP Goal | 26 |
PK Goal | 5 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 14 | 9 |
Lost | 7 | 16 |
Overtime Lost | 7 | 3 |
PP Attempt | 95 |
---|---|
PP Goal | 26 |
PK Attempt | 92 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 12.2 |
Shots Against | 17.9 |
Goals For | 1.4 |
Goals Against | 1.8 |
Hits | 14.9 |
Shots Blocked | 5.3 |
Pim | 5.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | COL | @ | ANA | COL1,ANA0 (OT) | RECAP | |||||||||
Mon, Oct 14 | ANA | @ | COL | ANA1,COL2 (OT) | RECAP | |||||||||
Wed, Oct 16 | ANA | @ | CHI | ANA0,CHI1 | RECAP | |||||||||
Fri, Oct 18 | ANA | @ | COL | ANA0,COL2 | RECAP | |||||||||
Sat, Oct 19 | S J | @ | ANA | S J0,ANA1 (OT) | RECAP | |||||||||
Mon, Oct 21 | ANA | @ | COL | ANA0,COL2 | RECAP | |||||||||
Tue, Oct 22 | STL | @ | ANA | STL3,ANA2 | RECAP | |||||||||
Thu, Oct 24 | ANA | @ | CAL | ANA1,CAL2 | RECAP | |||||||||
Sat, Oct 26 | LOS | @ | ANA | LOS0,ANA1 (OT) | RECAP | |||||||||
Tue, Oct 29 | CAL | @ | ANA | CAL1,ANA0 | RECAP | |||||||||
Thu, Oct 31 | ANA | @ | SEA | ANA2,SEA4 | RECAP | |||||||||
Sat, Nov 2 | EDM | @ | ANA | EDM3,ANA2 (SO) | RECAP | |||||||||
Tue, Nov 5 | PHO | @ | ANA | PHO6,ANA1 | RECAP | |||||||||
Wed, Nov 6 | ANA | @ | PHO | ANA4,PHO3 (SO) | RECAP | |||||||||
Sat, Nov 9 | TAM | @ | ANA | TAM0,ANA1 | RECAP | |||||||||
Sun, Nov 10 | ANA | @ | S J | ANA2,S J4 | RECAP | |||||||||
Tue, Nov 12 | ANA | @ | LOS | ANA3,LOS1 | RECAP | |||||||||
Thu, Nov 14 | BOS | @ | ANA | BOS2,ANA3 (OT) | RECAP | |||||||||
Sat, Nov 16 | NAS | @ | ANA | NAS2,ANA3 (OT) | RECAP | |||||||||
Mon, Nov 18 | ANA | @ | NAS | ANA1,NAS2 (SO) | RECAP | |||||||||
Wed, Nov 20 | NJD | @ | ANA | NJD3,ANA1 | RECAP | |||||||||
Sat, Nov 23 | ANA | @ | WAS | ANA3,WAS2 | RECAP | |||||||||
Sun, Nov 24 | ANA | @ | NYR | ANA1,NYR5 | RECAP | |||||||||
Tue, Nov 26 | PHO | @ | ANA | PHO1,ANA0 (OT) | RECAP | |||||||||
Thu, Nov 28 | FLO | @ | ANA | FLO1,ANA2 | RECAP | |||||||||
Sat, Nov 30 | ANA | @ | EDM | ANA0,EDM1 | RECAP | |||||||||
Mon, Dec 2 | ANA | @ | FLO | ANA4,FLO2 | RECAP | |||||||||
Wed, Dec 4 | ANA | @ | WPG | ANA1,WPG0 (SO) | RECAP | |||||||||
Fri, Dec 6 | PIT | @ | ANA | PIT4,ANA6 | RECAP | |||||||||
Sun, Dec 8 | DET | @ | ANA | DET3,ANA2 (SO) | RECAP | |||||||||
Wed, Dec 11 | ANA | @ | CLB | ANA1,CLB0 | RECAP | |||||||||
Fri, Dec 13 | MIN | @ | ANA | MIN2,ANA1 (SO) | RECAP | |||||||||
Sun, Dec 15 | ANA | @ | TOR | ANA4,TOR3 | RECAP | |||||||||
Tue, Dec 17 | CHI | @ | ANA | CHI0,ANA1 | RECAP | |||||||||
Thu, Dec 19 | ANA | @ | SEA | ANA1,SEA2 | RECAP | |||||||||
Sat, Dec 21 | CLB | @ | ANA | CLB0,ANA1 | RECAP | |||||||||
Tue, Dec 24 | DAL | @ | ANA | DAL2,ANA1 (SO) | RECAP | |||||||||
Thu, Dec 26 | ANA | @ | COL | ANA0,COL2 | RECAP | |||||||||
Sat, Dec 28 | ANA | @ | PHI | ANA0,PHI1 | RECAP | |||||||||
Mon, Dec 30 | VAN | @ | ANA | VAN2,ANA1 | RECAP | |||||||||
Tue, Dec 31 | BUF | @ | ANA | BUF0,ANA1 (OT) | RECAP | |||||||||
Thu, Jan 2 | ANA | @ | EDM | ANA0,EDM2 | RECAP | |||||||||
Sat, Jan 4 | ANA | @ | MTL | ANA4,MTL0 | RECAP | |||||||||
Mon, Jan 6 | PHI | @ | ANA | PHI0,ANA1 (OT) | RECAP | |||||||||
Wed, Jan 8 | S J | @ | ANA | S J1,ANA0 (OT) | RECAP | |||||||||
Fri, Jan 10 | ANA | @ | S J | ANA0,S J1 | RECAP | |||||||||
Sun, Jan 12 | MTL | @ | ANA | MTL2,ANA0 | RECAP | |||||||||
Mon, Jan 13 | ANA | @ | BUF | ANA1,BUF2 (SO) | RECAP | |||||||||
Thu, Jan 16 | NYI | @ | ANA | NYI0,ANA1 (SO) | RECAP | |||||||||
Fri, Jan 17 | ANA | @ | DAL | ANA0,DAL1 | RECAP | |||||||||
Sun, Jan 19 | ANA | @ | LOS | ANA2,LOS0 | RECAP | |||||||||
Tue, Jan 21 | ANA | @ | CAR | ANA2,CAR7 | RECAP | |||||||||
Wed, Jan 22 | NYR | @ | ANA | NYR5,ANA0 | RECAP | |||||||||
Sat, Jan 25 | CHI | @ | ANA | CHI2,ANA4 | RECAP | |||||||||
Mon, Jan 27 | ANA | @ | PIT | ANA0,PIT1 | RECAP | |||||||||
Tue, Jan 28 | CAL | @ | ANA | CAL0,ANA1 | RECAP | |||||||||
Thu, Jan 30 | ANA | @ | BOS | |||||||||||
Sat, Feb 1 | ANA | @ | TAM | |||||||||||
Mon, Feb 3 | WPG | @ | ANA | |||||||||||
Wed, Feb 5 | ANA | @ | CHI | |||||||||||
Fri, Feb 7 | WAS | @ | ANA | |||||||||||
Mon, Feb 10 | TOR | @ | ANA | |||||||||||
Wed, Feb 12 | ANA | @ | PHO | |||||||||||
Fri, Feb 14 | COL | @ | ANA | |||||||||||
Sun, Feb 16 | ANA | @ | VAN | |||||||||||
Mon, Feb 17 | ANA | @ | MIN | |||||||||||
Wed, Feb 19 | ANA | @ | CAL | |||||||||||
Thu, Feb 20 | COL | @ | ANA | |||||||||||
Sun, Feb 23 | TAM | @ | ANA | |||||||||||
Wed, Feb 26 | ANA | @ | CHI | |||||||||||
Thu, Feb 27 | ANA | @ | DET | |||||||||||
Sat, Mar 1 | EDM | @ | ANA | |||||||||||
Mon, Mar 3 | ANA | @ | NYI | |||||||||||
Tue, Mar 4 | SEA | @ | ANA | |||||||||||
Fri, Mar 7 | ANA | @ | STL | |||||||||||
Sat, Mar 8 | LOS | @ | ANA | |||||||||||
Sun, Mar 9 | ANA | @ | NJD | |||||||||||
Wed, Mar 12 | SEA | @ | ANA | |||||||||||
Sun, Mar 16 | ANA | @ | OTT | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | CAR | @ | ANA | |||||||||||
Sat, Mar 22 | OTT | @ | ANA | |||||||||||
Wed, Mar 26 | STL | @ | ANA |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,375,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | San Diego | |
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 |
4,375,000$ | 4,375,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,137,824$ | 0$ | 2,815,399$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 28,846$ | 1,730,760$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,730,760$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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