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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 19 | C/LW | 100.00 | 66 | 34 | 83 | 71 | 70 | 82 | 85 | 68 | 70 | 67 | 72 | 63 | 68 | 64 | 65 | 0 | 50 | 72 | 24 | 2,428,667$/3yrs | |||
![]() | 8 | C | 100.00 | 72 | 40 | 88 | 67 | 85 | 87 | 90 | 65 | 78 | 67 | 63 | 64 | 72 | 63 | 68 | 0 | 50 | 72 | 24 | 1,293,729$/2yrs | |||
![]() | 76 | C | 100.00 | 67 | 38 | 81 | 66 | 80 | 85 | 79 | 64 | 75 | 65 | 67 | 68 | 64 | 69 | 73 | 0 | 50 | 71 | 29 | 917,667$/3yrs | |||
![]() | 98 | C | 100.00 | 73 | 39 | 91 | 67 | 82 | 79 | 75 | 66 | 70 | 65 | 67 | 65 | 68 | 67 | 69 | 0 | 50 | 71 | 28 | 925,000$/1yrs | |||
![]() | 24 | C/LW/RW | 100.00 | 79 | 36 | 80 | 67 | 61 | 79 | 80 | 66 | 69 | 67 | 63 | 59 | 65 | 84 | 78 | 0 | 50 | 70 | 35 | 975,000$/1yrs | |||
![]() | 25 | LW | 100.00 | 66 | 38 | 93 | 62 | 80 | 85 | 93 | 63 | 55 | 64 | 65 | 59 | 64 | 72 | 77 | 0 | 50 | 70 | 32 | 1,031,000$/1yrs | |||
![]() | 26 | RW | 100.00 | 87 | 78 | 75 | 61 | 90 | 76 | 80 | 62 | 59 | 61 | 63 | 58 | 62 | 71 | 69 | 0 | 50 | 70 | 29 | 892,000$/2yrs | |||
![]() | 57 | RW | 100.00 | 78 | 38 | 82 | 62 | 81 | 85 | 72 | 64 | 61 | 63 | 66 | 58 | 63 | 65 | 67 | 0 | 50 | 69 | 25 | 902,500$/3yrs | |||
![]() | 49 | LW | 100.00 | 62 | 36 | 80 | 69 | 63 | 85 | 84 | 68 | 58 | 67 | 66 | 61 | 68 | 62 | 63 | 0 | 50 | 69 | 22 | 863,334$/3yrs | |||
![]() | 17 | RW | 100.00 | 66 | 35 | 86 | 67 | 64 | 81 | 82 | 65 | 71 | 63 | 68 | 66 | 63 | 69 | 70 | 0 | 50 | 69 | 30 | 941,667$/3yrs | |||
![]() | 15 | C | 100.00 | 79 | 81 | 62 | 59 | 88 | 76 | 81 | 58 | 67 | 57 | 59 | 66 | 54 | 68 | 70 | 0 | 50 | 68 | 28 | 931,000$/2yrs | |||
![]() | 12 | C | 100.00 | 57 | 34 | 93 | 66 | 60 | 89 | 84 | 65 | 73 | 63 | 62 | 56 | 65 | 64 | 66 | 0 | 50 | 67 | 25 | 952,000$/2yrs | |||
![]() | 71 | D | 100.00 | 81 | 38 | 78 | 65 | 84 | 80 | 77 | 64 | 30 | 67 | 58 | 69 | 50 | 65 | 66 | 0 | 50 | 71 | 25 | 856,000$/2yrs | |||
![]() | 20 | D | 100.00 | 77 | 35 | 94 | 64 | 72 | 78 | 73 | 62 | 30 | 70 | 61 | 73 | 52 | 82 | 73 | 0 | 50 | 71 | 34 | 850,000$/2yrs | |||
![]() | 4 | D | 100.00 | 71 | 39 | 86 | 67 | 81 | 83 | 90 | 66 | 30 | 65 | 59 | 64 | 53 | 63 | 65 | 0 | 50 | 70 | 21 | 1,325,000$/3yrs | |||
![]() | 22 | D | 100.00 | 72 | 39 | 77 | 61 | 81 | 79 | 76 | 62 | 30 | 66 | 61 | 63 | 53 | 72 | 74 | 0 | 50 | 69 | 32 | 825,000$/2yrs | |||
![]() | 44 | D | 100.00 | 56 | 35 | 95 | 64 | 75 | 80 | 75 | 62 | 30 | 61 | 56 | 63 | 50 | 69 | 65 | 0 | 50 | 66 | 27 | 750,000$/1yrs | |||
![]() | 43 | D | 100.00 | 78 | 37 | 91 | 56 | 85 | 78 | 93 | 56 | 30 | 55 | 53 | 58 | 45 | 63 | 65 | 0 | 50 | 66 | 24 | 837,778$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 18 | C | 100.00 | 68 | 38 | 92 | 63 | 82 | 76 | 88 | 66 | 72 | 65 | 58 | 61 | 59 | 64 | 66 | 0 | 50 | 69 | 25 | 772,500$/2yrs | |||
![]() | 72 | RW | 100.00 | 69 | 39 | 85 | 59 | 82 | 79 | 82 | 58 | 61 | 59 | 58 | 60 | 57 | 65 | 67 | 0 | 50 | 67 | 25 | 913,750$/2yrs | |||
![]() | 52 | RW | 100.00 | 76 | 71 | 78 | 57 | 85 | 76 | 87 | 56 | 59 | 55 | 58 | 61 | 57 | 64 | 66 | 0 | 50 | 66 | 25 | 831,000$/1yrs | |||
![]() | 16 | C | 100.00 | 61 | 38 | 86 | 59 | 70 | 74 | 87 | 58 | 66 | 59 | 57 | 56 | 58 | 69 | 71 | 0 | 50 | 65 | 29 | 750,000$/2yrs | |||
![]() | 9 | C/LW/RW | 100.00 | 61 | 39 | 87 | 57 | 71 | 79 | 84 | 56 | 58 | 55 | 54 | 53 | 56 | 67 | 64 | 0 | 50 | 63 | 26 | 925,000$/1yrs | |||
![]() | 46 | LW | 100.00 | 57 | 37 | 91 | 58 | 66 | 76 | 86 | 57 | 61 | 58 | 59 | 54 | 58 | 62 | 64 | 0 | 50 | 63 | 23 | 925,000$/3yrs | |||
![]() | 27 | RW | 100.00 | 60 | 36 | 94 | 55 | 69 | 75 | 65 | 54 | 58 | 55 | 56 | 53 | 55 | 61 | 63 | 0 | 50 | 61 | 22 | 925,000$/3yrs | |||
![]() | 3 | D | 100.00 | 68 | 34 | 61 | 65 | 81 | 80 | 83 | 64 | 30 | 67 | 65 | 62 | 53 | 66 | 68 | 0 | 50 | 70 | 26 | 1,056,250$/2yrs | |||
![]() | 23 | D | 100.00 | 71 | 34 | 89 | 53 | 84 | 61 | 78 | 52 | 30 | 53 | 52 | 56 | 45 | 63 | 65 | 0 | 50 | 62 | 24 | 893,834$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 100.00 | 75 | 74 | 76 | 78 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 83 | 0 | 50 | 77 | 30 | 992,500$/2yrs |
![]() | 30 | 100.00 | 74 | 75 | 74 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 62 | 67 | 0 | 50 | 75 | 22 | 842,916$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 34 | 100.00 | 73 | 67 | 68 | 75 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 64 | 71 | 0 | 50 | 73 | 24 | 828,500$/2yrs |
![]() | 40 | 100.00 | 72 | 77 | 76 | 79 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 63 | 69 | 0 | 50 | 73 | 23 | 1,212,500$/2yrs |
![]() | 73 | 100.00 | 71 | 74 | 75 | 72 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 61 | 65 | 0 | 50 | 72 | 22 | 938,889$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mitch Love | 70 | 71 | 74 | 65 | 57 | 54 | 88 | CAN | 37 | 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 | Braden Schneider | ![]() | D | 7 | 2 | 11 | 13 | -2 | 6 | 0 | 12 | 16 | 4 | 7 | 12.50% | 13 | 22.32 | 1 | 4 | 5 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 1.86 | 0 | 0 | 1.29 | |||
2 | Jakob Pelletier | ![]() | LW | 7 | 5 | 6 | 11 | 6 | 0 | 0 | 4 | 24 | 9 | 14 | 20.83% | 2 | 18.62 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 35.71% | 0 | 0 | 1.57 | 0 | 0 | 1.73 | |||
3 | Justin Danforth | ![]() | RW | 7 | 4 | 3 | 7 | 5 | 0 | 0 | 2 | 30 | 7 | 27 | 13.33% | 0 | 19.32 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 80.00% | 0 | 0 | 1.00 | 0 | 0 | 1.35 | |||
4 | Dillon Dube | ![]() | C/LW | 7 | 2 | 4 | 6 | -1 | 0 | 0 | 2 | 27 | 9 | 24 | 7.41% | 3 | 19.41 | 1 | 1 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 30.00% | 0 | 0 | 0.86 | 0 | 0 | 0.95 | |||
5 | Anthony Bitetto | ![]() | D | 7 | 3 | 2 | 5 | 4 | 14 | 0 | 11 | 14 | 1 | 7 | 21.43% | 6 | 20.98 | 2 | 0 | 2 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.59 | |||
6 | Nathan Gerbe | ![]() | C/LW/RW | 7 | 1 | 4 | 5 | 5 | 2 | 0 | 10 | 19 | 5 | 10 | 5.26% | 0 | 17.64 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 47.98% | 0 | 0 | 0.71 | 0 | 0 | 0.91 | |||
7 | Cody Glass | ![]() | C | 7 | 4 | 1 | 5 | -1 | 0 | 0 | 6 | 17 | 0 | 11 | 23.53% | 0 | 16.50 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 56.15% | 0 | 0 | 0.71 | 0 | 0 | 0.71 | |||
8 | Steven Kampfer | ![]() | D | 7 | 2 | 3 | 5 | 0 | 4 | 0 | 5 | 20 | 3 | 6 | 10.00% | 4 | 21.12 | 2 | 2 | 4 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.64 | |||
9 | Maxim Mamin | ![]() | C | 7 | 2 | 3 | 5 | -1 | 6 | 0 | 8 | 23 | 8 | 23 | 8.70% | 2 | 18.22 | 0 | 2 | 2 | 0 | 0 | 0 | 13 | 1 | 0 | 50.79% | 0 | 0 | 0.71 | 0 | 0 | 0.63 | |||
10 | Ben Thomas | ![]() | D | 7 | 1 | 2 | 3 | 5 | 0 | 0 | 2 | 4 | 0 | 3 | 25.00% | 12 | 17.76 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.67 | |||
11 | Nikolai Knyzhov | ![]() | D | 7 | 1 | 2 | 3 | 0 | 2 | 0 | 10 | 4 | 1 | 10 | 25.00% | 7 | 19.01 | 0 | 0 | 0 | 1 | 0 | 1 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.39 | |||
12 | Matthew Phillips | ![]() | C | 7 | 0 | 3 | 3 | -1 | 0 | 0 | 1 | 8 | 5 | 18 | 0.00% | 0 | 16.14 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.43 | 0 | 0 | 0.37 | |||
13 | Brett Ritchie | ![]() | RW | 7 | 1 | 1 | 2 | 0 | 4 | 0 | 16 | 8 | 3 | 4 | 12.50% | 1 | 11.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.29 | 0 | 0 | 0.26 | |||
14 | Jonny Brodzinski | ![]() | C | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 6 | 5 | 2 | 5 | 0.00% | 1 | 10.02 | 0 | 0 | 0 | 0 | 1 | 1 | 17 | 0 | 0 | 54.24% | 0 | 0 | 0.14 | 0 | 0 | 0.07 | |||
15 | John Hayden | ![]() | C | 3 | 0 | 1 | 1 | -1 | 2 | 0 | 6 | 6 | 2 | 1 | 0.00% | 1 | 9.14 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.21 | |||
16 | Wade Allison | ![]() | RW | 7 | 0 | 1 | 1 | 0 | 2 | 0 | 17 | 21 | 6 | 9 | 0.00% | 0 | 16.05 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.14 | 0 | 0 | 0.36 | |||
17 | Tobias Geisser | ![]() | D | 6 | 0 | 1 | 1 | -3 | 0 | 0 | 12 | 3 | 0 | 4 | 0.00% | 8 | 16.11 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.08 | |||
18 | Cole Schneider | ![]() | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
19 | Connor Mackey | ![]() | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 0 | 1 | 0 | 0.00% | 1 | 15.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.95 | |||
20 | Eetu Tuulola | ![]() | RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 2 | 2 | 1 | 0.00% | 2 | 8.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | |||
21 | Fredrik Karlstrom | ![]() | C | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 2 | 1 | 5 | 0.00% | 1 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 46.81% | 0 | 0 | 0.00 | 0 | 0 | -0.21 | |||
Team Total or Average | 126 | 28 | 49 | 77 | 5 | 44 | 0 | 137 | 253 | 69 | 189 | 11.07% | 64 | 16.47 | 8 | 15 | 23 | 239 | 1 | 2 | 3 | 131 | 3 | 1 | 50.84% | 657 | 0 | 0 | 0 | 0 | 0.74 | 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 | Joel Hofer | ![]() | 6 | 3 | 2 | 1 | 0.898 | 3.49 | 361 | 0 | 0 | 21 | 205 | 0 | 0 | 0 | 0.000 | 0 | 6 | 1 | 0 | 0 | 0 |
2 | Maxime Lagace | ![]() | 1 | 0 | 0 | 1 | 0.846 | 6.00 | 60 | 0 | 0 | 6 | 39 | 0 | 0 | 0 | 0.000 | 0 | 1 | 6 | 0 | 0 | 0 |
Team Total or Average | 7 | 3 | 2 | 2 | 0.889 | 3.85 | 421 | 0 | 0 | 27 | 244 | 0 | 0 | 0 | 0.000 | 0 | 7 | 7 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Bitetto ![]() | D | 32 | 825,000$ | 900,000$ | 750,000$ | UFA | |||||
Arvid Soderblom ![]() | G | 23 | 1,212,500$ | 1,500,000$ | 925,000$ | ![]() | |||||
Ben Thomas ![]() | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Braden Schneider ![]() | D | 21 | 1,325,000$ | 1,325,000$ | 1,325,000$ | 1,325,000$ | RFA | ||||
Brett Ritchie ![]() | RW | 29 | 892,000$ | 1,034,000$ | 750,000$ | UFA | |||||
Cody Glass ![]() | C | 24 | 1,293,729$ | 1,713,333$ | 874,125$ | ![]() | |||||
Cole Schneider ![]() | LW | 32 | 1,031,000$ | 1,031,000$ | UFA | ||||||
Connor Mackey ![]() | D | 26 | 1,056,250$ | 1,200,000$ | 912,500$ | UFA | |||||
Damien Riat ![]() | C/LW/RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Dillon Dube ![]() | C/LW | 24 | 2,428,667$ | 2,686,000$ | 2,300,000$ | 2,300,000$ | ![]() | ||||
Dylan Ferguson ![]() | G | 24 | 828,500$ | 907,000$ | 750,000$ | ![]() | |||||
Eetu Tuulola ![]() | RW | 25 | 831,000$ | 831,000$ | ![]() | ||||||
Emilio Pettersen ![]() | LW | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Fredrik Karlstrom ![]() | C | 25 | 772,500$ | 795,000$ | 750,000$ | ![]() | |||||
Jakob Pelletier ![]() | LW | 22 | 863,334$ | 863,333$ | 863,334$ | 863,334$ | ![]() | ||||
Jet Greaves ![]() | G | 22 | 938,889$ | 1,300,000$ | 758,333$ | 758,333$ | ![]() | ||||
Joel Hofer ![]() | G | 22 | 842,916$ | 910,833$ | 910,833$ | 775,000$ | 775,000$ | ![]() | |||
John Hayden ![]() | C | 28 | 931,000$ | 1,112,000$ | 750,000$ | UFA | |||||
Jonny Brodzinski ![]() | C | 29 | 917,667$ | 1,228,000$ | 762,500$ | 762,500$ | UFA | ||||
Joseph Gambardella ![]() | C | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Justin Danforth ![]() | RW | 30 | 941,667$ | 875,000$ | 975,000$ | 975,000$ | UFA | ||||
Matthew Phillips ![]() | C | 25 | 952,000$ | 1,154,000$ | 750,000$ | ![]() | |||||
Maxim Cajkovic ![]() | RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Maxim Mamin ![]() | C | 28 | 925,000$ | 925,000$ | UFA | ||||||
Maxime Lagace ![]() | G | 30 | 992,500$ | 1,235,000$ | 750,000$ | UFA | |||||
Nathan Gerbe ![]() | C/LW/RW | 35 | 975,000$ | 975,000$ | UFA | ||||||
Nikolai Knyzhov ![]() | D | 25 | 856,000$ | 862,000$ | 850,000$ | ![]() | |||||
Philip Kemp ![]() | D | 24 | 893,834$ | 1,021,000$ | 766,667$ | ![]() | |||||
Steven Kampfer ![]() | D | 34 | 850,000$ | 950,000$ | 750,000$ | UFA | |||||
Tobias Geisser ![]() | D | 24 | 837,778$ | 837,778$ | ![]() | ||||||
Wade Allison ![]() | RW | 25 | 902,500$ | 1,137,500$ | 785,000$ | 785,000$ | UFA | ||||
Walker Duehr ![]() | RW | 25 | 913,750$ | 1,000,000$ | 827,500$ | ![]() |
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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 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 6 | 0.429 | 28 | 49 | 77 | 0 | 0 | 11 | 7 | 10 | 0 | 253 | 95 | 82 | 76 | 0 | 244 | 64 | 44 | 137 | 28 | 8 | 28.57% | 21 | 8 | 61.90% | 1 | 132 | 272 | 48.53% | 132 | 256 | 51.56% | 70 | 129 | 54.26% | 174 | 122 | 158 | 52 | 88 | 44 | 51.3% | 11.1% | 88.9% | 100.0 | FUN |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 6 | 0.429 | 28 | 49 | 77 | 0 | 0 | 11 | 7 | 10 | 0 | 253 | 95 | 82 | 76 | 0 | 244 | 64 | 44 | 137 | 28 | 8 | 28.57% | 21 | 8 | 61.90% | 1 | 132 | 272 | 48.53% | 132 | 256 | 51.56% | 70 | 129 | 54.26% | 174 | 122 | 158 | 52 | 88 | 44 | 51.3% | 11.1% | 88.9% | 100.0 | FUN | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 6 | 0.429 | 28 | 49 | 77 | 0 | 0 | 11 | 7 | 10 | 0 | 253 | 95 | 82 | 76 | 0 | 244 | 64 | 44 | 137 | 28 | 8 | 28.57% | 21 | 8 | 61.90% | 1 | 132 | 272 | 48.53% | 132 | 256 | 51.56% | 70 | 129 | 54.26% | 174 | 122 | 158 | 52 | 88 | 44 | 51.3% | 11.1% | 88.9% | 100.0 | FUN | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 6 | 0.429 | 28 | 49 | 77 | 0 | 0 | 11 | 7 | 10 | 0 | 253 | 95 | 82 | 76 | 0 | 244 | 64 | 44 | 137 | 28 | 8 | 28.57% | 21 | 8 | 61.90% | 1 | 132 | 272 | 48.53% | 132 | 256 | 51.56% | 70 | 129 | 54.26% | 174 | 122 | 158 | 52 | 88 | 44 | 51.3% | 11.1% | 88.9% | 100.0 | FUN | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 6 | 0.429 | 28 | 49 | 77 | 0 | 0 | 11 | 7 | 10 | 0 | 253 | 95 | 82 | 76 | 0 | 244 | 64 | 44 | 137 | 28 | 8 | 28.57% | 21 | 8 | 61.90% | 1 | 132 | 272 | 48.53% | 132 | 256 | 51.56% | 70 | 129 | 54.26% | 174 | 122 | 158 | 52 | 88 | 44 | 51.3% | 11.1% | 88.9% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 272 |
Neutral Zone Start | 129 |
Defensive Zone Start | 256 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 334 |
Faceoffs Lost | 323 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.6 | 9.57 |
2nd Period | 25.3 | 20.31 |
3rd Period | 36.1 | 30.68 |
Overtime | 36.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 19 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 28 |
---|---|
PP Goal | 8 |
PK Attempt | 21 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 36.1 |
Shots Against | 34.9 |
Goals For | 4.0 |
Goals Against | 3.9 |
Hits | 19.6 |
Shots Blocked | 9.1 |
Pim | 6.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Thu, Apr 20 | ![]() | @ | ![]() | FCV2,WRA6 | RECAP | |||||||||
Sat, Apr 22 | ![]() | @ | ![]() | FCV2,WRA4 | RECAP | |||||||||
Mon, Apr 24 | ![]() | @ | ![]() | WRA5,FCV6 | RECAP | |||||||||
Wed, Apr 26 | ![]() | @ | ![]() | WRA2,FCV5 | RECAP | |||||||||
Fri, Apr 28 | ![]() | @ | ![]() | FCV6,WRA5 (OT) | RECAP | |||||||||
Sun, Apr 30 | ![]() | @ | ![]() | WRA4,FCV3 | RECAP | |||||||||
Tue, May 2 | ![]() | @ | ![]() | FCV3,WRA2 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,458,377$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Calgary | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 30$ | $ | $ | $ |
Attendance | 5913 | 2139 | |||
Attendance PCT | 73.91% | 53.48% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
37 | 2013 - 67.10% | 112,007$ | 448,028$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,458,377$ | 3,130,499$ | 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$ | 7 | 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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