Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brett Murray | 0 | LW | 100.00 | 83 | 75 | 79 | 62 | 95 | 81 | 87 | 66 | 61 | 64 | 63 | 66 | 62 | 64 | 66 | 0 | 50 | 72 | 24 | 1,152,250$/2yrs | |||
Brad Malone | 0 | C | 100.00 | 82 | 42 | 86 | 61 | 84 | 83 | 80 | 62 | 75 | 63 | 64 | 65 | 62 | 74 | 78 | 0 | 50 | 71 | 34 | 841,667$/3yrs | |||
Julien Gauthier (A) | 0 | RW | 100.00 | 80 | 38 | 91 | 67 | 92 | 76 | 81 | 66 | 54 | 65 | 63 | 59 | 65 | 64 | 66 | 0 | 50 | 71 | 25 | 1,263,500$/2yrs | |||
Arttu Ruotsalainen | 0 | C | 100.00 | 62 | 36 | 89 | 67 | 70 | 87 | 86 | 64 | 70 | 65 | 68 | 61 | 69 | 65 | 67 | 0 | 50 | 70 | 25 | 925,000$/1yrs | |||
Drew O'Connor (C) | 0 | LW | 100.00 | 70 | 39 | 91 | 65 | 83 | 84 | 80 | 66 | 71 | 67 | 63 | 60 | 69 | 64 | 66 | 0 | 50 | 70 | 24 | 955,000$/2yrs | |||
Mike Hardman | 0 | LW | 100.00 | 86 | 39 | 93 | 64 | 81 | 82 | 87 | 63 | 55 | 62 | 64 | 59 | 62 | 63 | 65 | 0 | 50 | 70 | 24 | 1,200,000$/3yrs | |||
Matthew Highmore | 0 | C | 100.00 | 65 | 36 | 82 | 64 | 70 | 81 | 83 | 63 | 74 | 62 | 61 | 76 | 64 | 66 | 67 | 0 | 50 | 70 | 27 | 777,500$/2yrs | |||
Tyson Foerster (A) | 0 | C | 100.00 | 62 | 38 | 78 | 69 | 79 | 77 | 80 | 66 | 72 | 63 | 67 | 62 | 68 | 59 | 64 | 0 | 50 | 69 | 21 | 863,333$/4yrs | |||
Jesper Froden | 0 | RW | 100.00 | 62 | 37 | 82 | 68 | 66 | 89 | 80 | 67 | 63 | 61 | 66 | 65 | 69 | 68 | 70 | 0 | 50 | 69 | 28 | 875,000$/2yrs | |||
Sheldon Dries | 0 | C | 100.00 | 64 | 37 | 89 | 67 | 65 | 86 | 82 | 65 | 72 | 62 | 66 | 61 | 66 | 68 | 69 | 0 | 50 | 69 | 29 | 775,000$/3yrs | |||
Justin Dowling | 0 | C | 100.00 | 58 | 35 | 81 | 65 | 68 | 76 | 73 | 66 | 74 | 67 | 62 | 59 | 65 | 72 | 74 | 0 | 50 | 68 | 32 | 883,500$/2yrs | |||
Axel Jonsson-Fjallby | 0 | LW | 100.00 | 64 | 37 | 91 | 65 | 75 | 83 | 87 | 61 | 58 | 60 | 62 | 61 | 67 | 65 | 66 | 0 | 50 | 68 | 25 | 869,000$/2yrs | |||
Dylan Samberg | 0 | D | 100.00 | 83 | 71 | 79 | 62 | 81 | 80 | 76 | 59 | 30 | 66 | 56 | 62 | 49 | 63 | 65 | 0 | 50 | 69 | 24 | 1,175,000$/2yrs | |||
Zac Jones | 0 | D | 100.00 | 57 | 36 | 93 | 65 | 70 | 85 | 81 | 64 | 30 | 73 | 58 | 65 | 50 | 62 | 66 | 0 | 50 | 69 | 22 | 925,000$/2yrs | |||
Mark Friedman | 0 | D | 100.00 | 64 | 36 | 70 | 66 | 71 | 82 | 73 | 65 | 30 | 67 | 65 | 66 | 55 | 67 | 68 | 0 | 50 | 69 | 27 | 822,667$/3yrs | |||
Jack Ahcan | 0 | D | 100.00 | 63 | 35 | 92 | 65 | 67 | 85 | 76 | 64 | 30 | 62 | 65 | 59 | 53 | 65 | 67 | 0 | 50 | 68 | 26 | 750,000$/2yrs | |||
Tyler Lewington | 0 | D | 100.00 | 67 | 43 | 65 | 60 | 79 | 78 | 80 | 59 | 30 | 67 | 58 | 65 | 50 | 68 | 70 | 0 | 50 | 68 | 28 | 750,000$/1yrs | |||
Tarmo Reunanen | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 73 | 64 | 30 | 66 | 57 | 63 | 51 | 64 | 66 | 0 | 50 | 67 | 25 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Cole Maier | 0 | C | 100.00 | 67 | 33 | 74 | 60 | 76 | 90 | 92 | 59 | 65 | 58 | 60 | 57 | 60 | 67 | 69 | 0 | 50 | 67 | 27 | 1,140,000$/1yrs | |||
Michael Carcone | 0 | LW | 100.00 | 67 | 40 | 71 | 62 | 63 | 89 | 87 | 63 | 60 | 59 | 64 | 57 | 67 | 68 | 67 | 0 | 50 | 67 | 27 | 775,000$/2yrs | |||
Andreas Wingerli | 0 | LW | 100.00 | 58 | 36 | 86 | 67 | 62 | 77 | 85 | 62 | 56 | 59 | 60 | 63 | 61 | 65 | 67 | 0 | 50 | 66 | 25 | 820,000$/1yrs | |||
Danila Klimovich (R) | 0 | RW | 100.00 | 62 | 34 | 83 | 58 | 81 | 79 | 85 | 59 | 52 | 58 | 57 | 56 | 61 | 60 | 62 | 0 | 50 | 65 | 20 | 901,875$/4yrs | |||
Zach Nastasiuk | 0 | RW | 100.00 | 72 | 35 | 92 | 56 | 81 | 77 | 82 | 54 | 52 | 53 | 55 | 57 | 54 | 71 | 66 | 0 | 50 | 64 | 28 | 750,000$/1yrs | |||
Brett McKenzie | 0 | LW | 100.00 | 68 | 39 | 89 | 57 | 78 | 65 | 72 | 56 | 53 | 55 | 54 | 58 | 54 | 65 | 67 | 0 | 50 | 63 | 26 | 900,000$/1yrs | |||
Adam Clendening | 0 | D | 100.00 | 64 | 41 | 72 | 60 | 73 | 76 | 95 | 59 | 30 | 66 | 54 | 57 | 48 | 70 | 72 | 0 | 50 | 67 | 30 | 1,000,000$/1yrs | |||
Trenton Bourque | 0 | D | 100.00 | 71 | 42 | 86 | 56 | 80 | 65 | 70 | 54 | 30 | 55 | 53 | 56 | 45 | 65 | 63 | 0 | 50 | 63 | 24 | 750,000$/1yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Hutchinson | 0 | 100.00 | 74 | 75 | 76 | 84 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 75 | 86 | 0 | 50 | 77 | 33 | 1,375,000$/2yrs |
Scratches | ||||||||||||||||||||
Kevin Poulin | 0 | 100.00 | 75 | 74 | 75 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 72 | 86 | 0 | 50 | 77 | 33 | 800,000$/1yrs |
Linden Marshall | 0 | 100.00 | 75 | 65 | 66 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 50 | 75 | 24 | 750,000$/1yrs |
Victor Brattstrom | 0 | 100.00 | 67 | 75 | 76 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 65 | 73 | 0 | 50 | 71 | 26 | 837,500$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Wayne Gretzky | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 61 | 5 | 0$ |
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 | Brett Murray | Firebirds (KRA) | LW | 13 | 7 | 12 | 19 | 9 | 4 | 0 | 29 | 58 | 21 | 31 | 12.07% | 1 | 23.13 | 0 | 4 | 4 | 0 | 0 | 0 | 41 | 0 | 1 | 47.13% | 0 | 0 | 1.46 | 0 | 0 | 1.63 | |||
2 | Zac Jones | Firebirds (KRA) | D | 13 | 2 | 14 | 16 | -2 | 10 | 0 | 10 | 23 | 10 | 10 | 8.70% | 36 | 24.23 | 1 | 6 | 7 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 1.23 | 0 | 0 | 0.92 | |||
3 | Mark Friedman | Firebirds (KRA) | D | 13 | 4 | 10 | 14 | 0 | 10 | 0 | 43 | 39 | 12 | 20 | 10.26% | 21 | 23.59 | 3 | 3 | 6 | 0 | 0 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 1.08 | 0 | 0 | 1.01 | |||
4 | Arttu Ruotsalainen | Firebirds (KRA) | C | 13 | 7 | 6 | 13 | -7 | 0 | 0 | 9 | 43 | 15 | 33 | 16.28% | 5 | 20.97 | 2 | 4 | 6 | 0 | 0 | 0 | 39 | 1 | 0 | 49.09% | 0 | 0 | 1.00 | 0 | 0 | 0.82 | |||
5 | Brad Malone | Firebirds (KRA) | C | 13 | 5 | 8 | 13 | 3 | 10 | 0 | 30 | 38 | 10 | 25 | 13.16% | 4 | 17.71 | 1 | 4 | 5 | 0 | 0 | 0 | 27 | 1 | 0 | 53.49% | 0 | 0 | 1.00 | 0 | 0 | 0.96 | |||
6 | Sheldon Dries | Firebirds (KRA) | C | 13 | 5 | 6 | 11 | -5 | 0 | 0 | 7 | 31 | 8 | 29 | 16.13% | 3 | 19.24 | 2 | 1 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 44.95% | 0 | 0 | 0.85 | 0 | 0 | 0.69 | |||
7 | Jack Ahcan | Firebirds (KRA) | D | 13 | 3 | 7 | 10 | 0 | 8 | 0 | 21 | 13 | 8 | 7 | 23.08% | 14 | 20.45 | 1 | 1 | 2 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.77 | 0 | 0 | 0.60 | |||
8 | Tyson Foerster | Firebirds (KRA) | C | 13 | 4 | 4 | 8 | -2 | 4 | 0 | 16 | 33 | 8 | 20 | 12.12% | 2 | 15.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.16% | 0 | 0 | 0.62 | 0 | 0 | 0.57 | |||
9 | Julien Gauthier | Firebirds (KRA) | RW | 13 | 4 | 4 | 8 | 2 | 8 | 0 | 13 | 37 | 7 | 23 | 10.81% | 2 | 19.31 | 1 | 3 | 4 | 0 | 0 | 0 | 36 | 0 | 0 | 58.62% | 0 | 0 | 0.62 | 0 | 0 | 0.65 | |||
10 | Drew O'Connor | Firebirds (KRA) | LW | 13 | 3 | 3 | 6 | -1 | 8 | 0 | 14 | 33 | 4 | 25 | 9.09% | 4 | 17.18 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 42.86% | 0 | 0 | 0.46 | 0 | 0 | 0.46 | |||
11 | Matthew Highmore | Firebirds (KRA) | C | 13 | 2 | 4 | 6 | -3 | 0 | 0 | 12 | 33 | 12 | 21 | 6.06% | 2 | 14.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 52.22% | 0 | 0 | 0.46 | 0 | 0 | 0.49 | |||
12 | Tyler Lewington | Firebirds (KRA) | D | 13 | 1 | 3 | 4 | -1 | 20 | 0 | 28 | 12 | 2 | 3 | 8.33% | 15 | 19.15 | 1 | 0 | 1 | 0 | 0 | 0 | 25 | 1 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.08 | |||
13 | Mike Hardman | Firebirds (KRA) | LW | 13 | 1 | 3 | 4 | -9 | 6 | 0 | 26 | 38 | 5 | 32 | 2.63% | 3 | 16.72 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 47.06% | 0 | 0 | 0.31 | 0 | 0 | 0.21 | |||
14 | Dylan Samberg | Firebirds (KRA) | D | 7 | 1 | 2 | 3 | -1 | 2 | 0 | 24 | 11 | 4 | 3 | 9.09% | 7 | 20.45 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.45 | |||
15 | Tarmo Reunanen | Firebirds (KRA) | D | 13 | 0 | 3 | 3 | 1 | 6 | 0 | 14 | 6 | 0 | 3 | 0.00% | 9 | 12.74 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.18 | |||
16 | Justin Dowling | Firebirds (KRA) | C | 13 | 2 | 0 | 2 | 2 | 0 | 0 | 3 | 7 | 3 | 5 | 28.57% | 0 | 3.25 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 60.00% | 0 | 0 | 0.15 | 0 | 0 | 0.23 | |||
17 | Axel Jonsson-Fjallby | Firebirds (KRA) | LW | 13 | 0 | 0 | 0 | -2 | 4 | 0 | 3 | 10 | 3 | 9 | 0.00% | 14 | 13.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
18 | Cole Maier | Firebirds (KRA) | C | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | |||
19 | Jesper Froden | Firebirds (KRA) | RW | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0.00% | 0 | 2.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
Team Total or Average | 234 | 51 | 89 | 140 | -16 | 100 | 0 | 303 | 472 | 132 | 299 | 10.81% | 142 | 16.43 | 15 | 27 | 42 | 348 | 0 | 0 | 0 | 332 | 6 | 2 | 50.77% | 1239 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Michael Hutchinson | Firebirds (KRA) | 13 | 6 | 6 | 1 | 0.887 | 4.18 | 746 | 0 | 0 | 52 | 462 | 0 | 1 | 0 | 0.000 | 0 | 13 | 0 | 0 | 0 | 1 |
2 | Kevin Poulin | Firebirds (KRA) | 1 | 0 | 0 | 0 | 0.967 | 1.54 | 39 | 0 | 0 | 1 | 30 | 0 | 0 | 0 | 0.000 | 0 | 0 | 13 | 0 | 0 | 0 |
Team Total or Average | 14 | 6 | 6 | 1 | 0.892 | 4.05 | 785 | 0 | 0 | 53 | 492 | 0 | 1 | 0 | 0.000 | 0 | 13 | 13 | 0 | 0 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Andreas Wingerli | LW | 25 | 820,000$ | 820,000$ | RFA | ||||||
Arttu Ruotsalainen | C | 25 | 925,000$ | 925,000$ | RFA | ||||||
Axel Jonsson-Fjallby | LW | 25 | 869,000$ | 988,000$ | 750,000$ | UFA | |||||
Brad Malone | C | 34 | 841,667$ | 1,000,000$ | 762,500$ | 762,500$ | UFA | ||||
Brett McKenzie | LW | 26 | 900,000$ | 900,000$ | UFA | ||||||
Brett Murray | LW | 24 | 1,152,250$ | 1,542,000$ | 762,500$ | RFA | |||||
Cole Maier | C | 27 | 1,140,000$ | 1,140,000$ | UFA | ||||||
Danila Klimovich | RW | 20 | 901,875$ | 925,000$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||
Drew O'Connor | LW | 24 | 955,000$ | 1,160,000$ | 750,000$ | RFA | |||||
Dylan Samberg | D | 24 | 1,175,000$ | 1,175,000$ | 1,175,000$ | RFA | |||||
Jack Ahcan | D | 26 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Jesper Froden | RW | 28 | 875,000$ | 1,000,000$ | 750,000$ | UFA | |||||
Julien Gauthier | RW | 25 | 1,263,500$ | 1,727,000$ | 800,000$ | UFA | |||||
Justin Dowling | C | 32 | 883,500$ | 1,017,000$ | 750,000$ | UFA | |||||
Kevin Poulin | G | 33 | 800,000$ | 800,000$ | UFA | ||||||
Linden Marshall | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Mark Friedman | D | 27 | 822,667$ | 918,000$ | 775,000$ | 775,000$ | UFA | ||||
Matthew Highmore | C | 27 | 777,500$ | 805,000$ | 750,000$ | UFA | |||||
Michael Carcone | LW | 27 | 775,000$ | 800,000$ | 750,000$ | UFA | |||||
Michael Hutchinson | G | 33 | 1,375,000$ | 2,000,000$ | 750,000$ | UFA | |||||
Mike Hardman | LW | 24 | 1,200,000$ | 2,000,000$ | 800,000$ | 800,000$ | UFA | ||||
Sheldon Dries | C | 29 | 775,000$ | 800,000$ | 762,500$ | 762,500$ | UFA | ||||
Tarmo Reunanen | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Trenton Bourque | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Tyler Lewington | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Tyson Foerster | C | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | |||
Victor Brattstrom | G | 26 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Zac Jones | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Zach Nastasiuk | RW | 28 | 750,000$ | 750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Wranglers | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 28 | -1 | 8 | 0.571 | 27 | 50 | 77 | 0 | 0 | 17 | 13 | 19 | 2 | 244 | 167 | 131 | 171 | 3 | 253 | 69 | 58 | 162 | 21 | 8 | 38.10% | 28 | 8 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 48.7% | 11.1% | 88.9% | 100.0 | FUN |
2 | Gulls | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 24 | 25 | -1 | 4 | 0.333 | 24 | 39 | 63 | 0 | 0 | 17 | 13 | 19 | 2 | 228 | 167 | 131 | 171 | 3 | 239 | 73 | 42 | 141 | 23 | 7 | 30.43% | 21 | 6 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 47.2% | 10.5% | 89.5% | 100.1 | FUN |
_Vs Division | 13 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 51 | 53 | -2 | 12 | 0.462 | 51 | 89 | 140 | 0 | 0 | 17 | 13 | 19 | 2 | 472 | 167 | 131 | 171 | 3 | 492 | 142 | 100 | 303 | 44 | 15 | 34.09% | 49 | 14 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 48.0% | 10.8% | 89.2% | 100.0 | FUN | |
_Vs Conference | 13 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 51 | 53 | -2 | 12 | 0.462 | 51 | 89 | 140 | 0 | 0 | 17 | 13 | 19 | 2 | 472 | 167 | 131 | 171 | 3 | 492 | 142 | 100 | 303 | 44 | 15 | 34.09% | 49 | 14 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 48.0% | 10.8% | 89.2% | 100.0 | FUN | |
_Since Last GM Reset | 13 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 51 | 53 | -2 | 12 | 0.462 | 51 | 89 | 140 | 0 | 0 | 17 | 13 | 19 | 2 | 472 | 167 | 131 | 171 | 3 | 492 | 142 | 100 | 303 | 44 | 15 | 34.09% | 49 | 14 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 48.0% | 10.8% | 89.2% | 100.0 | FUN | |
Total | 13 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 51 | 53 | -2 | 12 | 0.462 | 51 | 89 | 140 | 0 | 0 | 17 | 13 | 19 | 2 | 472 | 167 | 131 | 171 | 3 | 492 | 142 | 100 | 303 | 44 | 15 | 34.09% | 49 | 14 | 71.43% | 0 | 249 | 485 | 51.34% | 276 | 525 | 52.57% | 104 | 229 | 45.41% | 295 | 197 | 323 | 99 | 166 | 82 | 48.0% | 10.8% | 89.2% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 485 |
Neutral Zone Start | 229 |
Defensive Zone Start | 525 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 629 |
Faceoffs Lost | 610 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 36.1 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 36 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 44 |
---|---|
PP Goal | 15 |
PK Attempt | 49 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 37.8 |
Goals For | 3.9 |
Goals Against | 4.1 |
Hits | 23.3 |
Shots Blocked | 10.9 |
Pim | 7.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Thu, Apr 20 | FCV | @ | WRA | FCV2,WRA6 | RECAP | |||||||||
Sat, Apr 22 | FCV | @ | WRA | FCV2,WRA4 | RECAP | |||||||||
Mon, Apr 24 | WRA | @ | FCV | WRA5,FCV6 | RECAP | |||||||||
Wed, Apr 26 | WRA | @ | FCV | WRA2,FCV5 | RECAP | |||||||||
Fri, Apr 28 | FCV | @ | WRA | FCV6,WRA5 (OT) | RECAP | |||||||||
Sun, Apr 30 | WRA | @ | FCV | WRA4,FCV3 | RECAP | |||||||||
Tue, May 2 | FCV | @ | WRA | FCV3,WRA2 (OT) | RECAP | |||||||||
Thu, May 4 | FCV | @ | SDG | FCV3,SDG5 | RECAP | |||||||||
Sat, May 6 | FCV | @ | SDG | FCV3,SDG4 | RECAP | |||||||||
Mon, May 8 | SDG | @ | FCV | SDG2,FCV5 | RECAP | |||||||||
Wed, May 10 | SDG | @ | FCV | SDG4,FCV3 (OT) | RECAP | |||||||||
Fri, May 12 | FCV | @ | SDG | FCV6,SDG4 | RECAP | |||||||||
Sun, May 14 | SDG | @ | FCV | SDG6,FCV4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,078,033$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Coachella Valley | |
Capacity | 4000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 2000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 10452 | 12000 | |||
Attendance PCT | 87.10% | 100.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
-6 | 3742 - 93.55% | 135,545$ | 813,272$ | 4000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,078,033$ | 2,752,779$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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