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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Radnor Rink Rats 4-5-1, 9pts · 11th in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 67 | 42 | 86 | 90 | 65 | 81 | 94 | 85 | 95 | 89 | 91 | 76 | 60 | 72 | 76 | 90 | 75 | 86 | 26 | 8,460,250$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 58 | 70 | 83 | 75 | 79 | 97 | 99 | 34 | 91 | 84 | 64 | 33 | 72 | 74 | 87 | 75 | 82 | 26 | 9,500,000$/7yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 42 | 86 | 84 | 67 | 81 | 98 | 90 | 68 | 86 | 74 | 77 | 68 | 81 | 83 | 79 | 75 | 79 | 31 | 9,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 55 | 81 | 88 | 75 | 76 | 91 | 83 | 47 | 77 | 88 | 65 | 38 | 70 | 71 | 83 | 75 | 79 | 27 | 8,800,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 85 | 87 | 71 | 76 | 99 | 72 | 35 | 77 | 85 | 62 | 63 | 66 | 67 | 82 | 75 | 77 | 22 | 2,325,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 96 | 83 | 65 | 69 | 64 | 78 | 28 | 70 | 81 | 69 | 75 | 59 | 59 | 76 | 75 | 74 | 23 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 55 | 79 | 84 | 81 | 79 | 81 | 46 | 53 | 75 | 72 | 66 | 80 | 88 | 89 | 73 | 75 | 72 | 23 | 3,362,500$/3yrs | |||
![]() | 0 | C | 100.00 | 81 | 44 | 89 | 81 | 70 | 72 | 99 | 66 | 59 | 64 | 68 | 83 | 25 | 66 | 68 | 66 | 75 | 70 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 78 | 82 | 69 | 75 | 75 | 84 | 86 | 66 | 59 | 71 | 63 | 63 | 63 | 62 | 75 | 65 | 24 | 1,775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 98 | 47 | 88 | 77 | 76 | 61 | 83 | 65 | 36 | 62 | 59 | 83 | 45 | 88 | 92 | 60 | 75 | 65 | 36 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 56 | 82 | 88 | 73 | 86 | 99 | 77 | 25 | 68 | 64 | 88 | 25 | 69 | 70 | 73 | 75 | 80 | 30 | 6,250,000$/1yrs | |||
![]() | 25 | D | 100.00 | 61 | 41 | 91 | 83 | 71 | 88 | 78 | 67 | 25 | 65 | 51 | 93 | 25 | 79 | 83 | 66 | 75 | 78 | 30 | 5,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 96 | 83 | 77 | 81 | 96 | 65 | 25 | 68 | 49 | 91 | 53 | 75 | 78 | 66 | 75 | 76 | 30 | 5,300,000$/2yrs | |||
![]() | 5 | D | 100.00 | 90 | 77 | 76 | 77 | 81 | 79 | 80 | 64 | 25 | 50 | 48 | 91 | 25 | 76 | 76 | 58 | 75 | 72 | 31 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 90 | 73 | 73 | 69 | 72 | 65 | 25 | 64 | 48 | 71 | 25 | 47 | 47 | 65 | 75 | 68 | 23 | 789,167$/1yrs | |||
![]() | 24 | D | 100.00 | 82 | 56 | 73 | 80 | 84 | 74 | 73 | 63 | 25 | 52 | 48 | 81 | 75 | 81 | 84 | 58 | 75 | 68 | 33 | 575,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 97 | 82 | 69 | 60 | 67 | 62 | 25 | 45 | 47 | 86 | 36 | 67 | 68 | 54 | 75 | 66 | 34 | 450,000$/1yrs | |||
![]() | 2 | D | 100.00 | 97 | 95 | 80 | 72 | 85 | 66 | 84 | 63 | 25 | 49 | 47 | 80 | 25 | 84 | 87 | 57 | 75 | 66 | 34 | 450,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 85 | 99 | 72 | 72 | 86 | 48 | 85 | 64 | 76 | 58 | 58 | 66 | 25 | 59 | 59 | 58 | 75 | 59 | 25 | 835,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 45 | 85 | 73 | 77 | 67 | 66 | 61 | 25 | 52 | 47 | 77 | 25 | 45 | 45 | 57 | 75 | 65 | 25 | 450,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 79 | 54 | 84 | 81 | 75 | 73 | 84 | 71 | 42 | 66 | 63 | 77 | 44 | 70 | 72 | 69 | 75 | 72 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 70 | 55 | 57 | 94 | 77 | 64 | 75 | 70 | 77 | 70 | 74 | 71 | 74 | 82 | 75 | 76 | 34 | 1,750,000$/2yrs |
![]() | 35 | 100.00 | 61 | 55 | 57 | 71 | 65 | 56 | 69 | 60 | 65 | 61 | 60 | 65 | 67 | 73 | 75 | 69 | 35 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 63 | 56 | 70 | 93 | 62 | 69 | 62 | 63 | 64 | 62 | 55 | 55 | 55 | 63 | 75 | 65 | 33 | 450,000$/1yrs |
![]() | 0 | 100.00 | 58 | 56 | 70 | 75 | 58 | 65 | 58 | 59 | 59 | 58 | 51 | 38 | 38 | 58 | 75 | 61 | 23 | 4,500,000$/3yrs |
TEAM AVERAGE | 100.00 | 63 | 56 | 64 | 83 | 66 | 64 | 66 | 63 | 66 | 63 | 60 | 57 | 59 | 69 | 75 | 68 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Damian Stamm |
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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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sebastian Aho | ![]() | 0 | C/LW | 10 | 5 | 8 | 13 | 1 | 4 | 0 | 8 | 57 | 19 | 37 | 8.77% | 5 | 21.99 | 3 | 2 | 5 | 0 | 0 | 0 | 15 | 0 | 0 | 60.81% | 74 | 0 | 0 | 0 | 0 | 1.18 | 0 | 1 |
2 | Ryan Nugent-Hopkins | ![]() | 0 | C/LW/RW | 10 | 4 | 6 | 10 | -3 | 0 | 0 | 3 | 40 | 11 | 31 | 10.00% | 0 | 23.75 | 0 | 3 | 3 | 0 | 0 | 0 | 38 | 0 | 0 | 46.81% | 361 | 0 | 0 | 0 | 0 | 0.84 | 0 | 1 |
3 | Matthew Tkachuk | ![]() | 0 | LW/RW | 10 | 5 | 5 | 10 | 0 | 4 | 0 | 33 | 44 | 14 | 39 | 11.36% | 0 | 24.95 | 1 | 1 | 2 | 0 | 0 | 0 | 35 | 1 | 0 | 33.33% | 18 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
4 | MacKenzie Weegar | ![]() | 0 | D | 10 | 1 | 7 | 8 | -1 | 10 | 0 | 40 | 21 | 4 | 5 | 4.76% | 23 | 26.22 | 1 | 1 | 2 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
5 | Timo Meier | ![]() | 0 | LW/RW | 10 | 6 | 2 | 8 | -4 | 8 | 0 | 23 | 34 | 10 | 29 | 17.65% | 0 | 20.96 | 1 | 1 | 2 | 0 | 0 | 0 | 17 | 1 | 1 | 51.85% | 27 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
6 | Barrett Hayton | ![]() | 0 | C/LW | 10 | 1 | 4 | 5 | -3 | 4 | 0 | 12 | 15 | 6 | 13 | 6.67% | 2 | 17.64 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 52.34% | 214 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
7 | Kirby Dach | ![]() | 0 | C | 10 | 0 | 5 | 5 | -6 | 2 | 0 | 18 | 7 | 2 | 5 | 0.00% | 1 | 16.35 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 41.03% | 156 | 0 | 0 | 0 | 0 | 0.61 | 1 | 1 |
8 | Jaccob Slavin | ![]() | 0 | D | 10 | 2 | 3 | 5 | -2 | 0 | 0 | 4 | 18 | 9 | 9 | 11.11% | 18 | 23.76 | 1 | 2 | 3 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
9 | Jonas Brodin | ![]() | 25 | D | 10 | 0 | 4 | 4 | -6 | 0 | 0 | 0 | 9 | 2 | 6 | 0.00% | 9 | 15.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
10 | Luke Schenn | ![]() | 2 | D | 10 | 1 | 2 | 3 | -4 | 33 | 5 | 38 | 13 | 2 | 9 | 7.69% | 12 | 18.75 | 1 | 1 | 2 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
11 | Alexis Lafreniere | ![]() | 0 | LW/RW | 10 | 3 | 0 | 3 | -6 | 0 | 0 | 14 | 26 | 9 | 25 | 11.54% | 1 | 16.66 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 0.36 | 0 | 1 |
12 | Yegor Chinakhov | ![]() | 0 | LW/RW | 10 | 1 | 2 | 3 | -5 | 0 | 0 | 6 | 34 | 9 | 16 | 2.94% | 1 | 16.10 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 |
13 | Connor Murphy | ![]() | 5 | D | 10 | 1 | 2 | 3 | -2 | 12 | 0 | 22 | 10 | 0 | 7 | 10.00% | 17 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
14 | Kaedan Korczak | ![]() | 0 | D | 10 | 0 | 2 | 2 | -3 | 0 | 0 | 4 | 2 | 0 | 2 | 0.00% | 6 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 |
15 | Eetu Luostarinen | ![]() | 0 | C | 10 | 1 | 0 | 1 | -3 | 4 | 0 | 14 | 11 | 3 | 12 | 9.09% | 0 | 16.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 |
16 | Chad Ruhwedel | ![]() | 0 | D | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 2 | 2 | 0.00% | 3 | 2.26 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Cal Clutterbuck | ![]() | 0 | RW | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 3 | 1 | 2 | 0.00% | 0 | 2.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Zach Bogosian | ![]() | 24 | D | 10 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 0 | 0 | 0.00% | 2 | 2.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 1 | 1 |
Team Total or Average | 180 | 31 | 52 | 83 | -45 | 83 | 5 | 247 | 347 | 103 | 249 | 8.93% | 100 | 16.44 | 9 | 14 | 23 | 255 | 0 | 0 | 0 | 249 | 3 | 1 | 48.30% | 884 | 0 | 0 | 0 | 0 | 0.56 | 2 | 6 |
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 | Frederik Andersen | ![]() | 10 | 4 | 5 | 1 | 0.891 | 3.66 | 590 | 2 | 0 | 36 | 330 | 0 | 0 | 0 | 0.833 | 6 | 10 | 0 | 0 | 0 | 0 |
2 | Antti Raanta | ![]() | 1 | 0 | 0 | 0 | 0.600 | 7.50 | 16 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0.000 | 0 | 0 | 10 | 0 | 0 | 0 |
Team Total or Average | 11 | 4 | 5 | 1 | 0.887 | 3.76 | 606 | 2 | 0 | 38 | 335 | 0 | 0 | 0 | 0.833 | 6 | 10 | 10 | 0 | 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 |
# | 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 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 4.00 | -1.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 1 | 2 | 1 | 1 | 31.0 | 33 | 19 | 9 | 1 | 33.0 | 10.0 | 8.00 | 21.5 | 2.50 | 0.50 | 20.00% | 4.00 | 0.50 | 87.50% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 21.50 | 15.00 | 25.00 | 8.00 | 12.50 | 6.00 | 36.4% | 8.1% | 87.9% | 95.9 | Unlucky |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 5.5 | 9.5 | 0 | 0 | 2 | 0 | 5 | 2 | 29.0 | 23 | 13 | 20 | 8 | 37.0 | 13.5 | 6.00 | 22.5 | 3.50 | 0.50 | 14.29% | 3.00 | 1.00 | 66.67% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 22.00 | 15.00 | 27.00 | 7.00 | 12.50 | 6.00 | 53.8% | 13.8% | 89.2% | 103.0 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 2.00 | 5.00 | 2 | 1.000 | 7.0 | 12.0 | 19.0 | 0 | 0 | 3 | 2 | 2 | 0 | 56.0 | 19 | 21 | 16 | 0 | 34.0 | 5.0 | 8.00 | 27.0 | 4.00 | 2.00 | 50.00% | 4.00 | 1.00 | 75.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 27.00 | 19.00 | 20.00 | 6.00 | 12.00 | 6.00 | 83.3% | 12.5% | 94.1% | 106.6 | LUCKY |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 0 | 1 | 2 | 0 | 36.0 | 9 | 16 | 9 | 2 | 42.0 | 6.0 | 8.00 | 27.0 | 5.00 | 2.00 | 40.00% | 4.00 | 1.00 | 75.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.00 | 15.00 | 25.00 | 8.00 | 13.00 | 6.00 | 25.0% | 8.3% | 90.5% | 98.8 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 3 | 2 | 1 | 0 | 30.5 | 21 | 21 | 19 | 0 | 33.5 | 9.5 | 6.00 | 25.0 | 2.50 | 1.50 | 60.00% | 3.00 | 0.50 | 83.33% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 22.00 | 15.50 | 25.00 | 7.00 | 12.00 | 5.50 | 37.5% | 9.8% | 91.0% | 100.9 | FUN |
6 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 3 | 0 | 0 | 0 | 37.0 | 24 | 26 | 24 | 0 | 26.0 | 11.5 | 14.50 | 27.5 | 2.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 24.00 | 15.50 | 23.00 | 6.50 | 12.50 | 6.50 | 25.0% | 4.1% | 80.8% | 84.8 | Unlucky |
_Vs Division | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
_Vs Conference | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
_Since Last GM Reset | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
Total | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 353 |
Neutral Zone Start | 185 |
Defensive Zone Start | 332 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 427 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.9 | 9.57 |
2nd Period | 24.5 | 20.31 |
3rd Period | 34.2 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 23 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 1 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 31 |
---|---|
PP Goal | 9 |
PK Attempt | 35 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 33.5 |
Goals For | 3.2 |
Goals Against | 3.8 |
Hits | 24.7 |
Shots Blocked | 10.0 |
Pim | 8.5 |
![]() | |
Total Salaries | 78,546,917$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 50 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Rink Rats Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Lafreniere | LW/RW | 22 | 2,325,000$ | 2,325,000$ | 2,325,000$ | 2,325,000$ | RFA | |||||
Antti Raanta | G | 35 | 750,000$ | 750,000$ | 750,000$ | UFA | ||||||
Barrett Hayton | C/LW | 24 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | ||||||
Cal Clutterbuck | RW | 36 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Chad Ruhwedel | D | 34 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Connor Murphy | D | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||||
Eetu Luostarinen | C | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||||
Frederik Andersen | G | 34 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Igor Bobkov | G | 33 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Jaccob Slavin | D | 30 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Jonas Brodin | D | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Kaedan Korczak | D | 23 | 789,167$ | 789,167$ | 789,167$ | RFA | ||||||
Kirby Dach | C | 23 | 3,362,500$ | 3,362,500$ | 3,362,500$ | 3,362,500$ | 3,362,500$ | RFA | ||||
Luke Schenn | D | 34 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
MacKenzie Weegar | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||||
Mark Kastelic | C | 25 | 835,000$ | 835,000$ | 835,000$ | 835,000$ | RFA | |||||
Matthew Tkachuk | LW/RW | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Ronnie Attard | D | 25 | 450,000$ | 450,000$ | 450,000$ | RFA | ||||||
Ryan Nugent-Hopkins | C/LW/RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Sebastian Aho | C/LW | 26 | 8,460,250$ | 8,460,250$ | 8,460,250$ | RFA | ||||||
Spencer Knight | G | 23 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | RFA | ||||
Timo Meier | LW/RW | 27 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | |
Yegor Chinakhov | LW/RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | ||||||
Zach Bogosian | D | 33 | 575,000$ | 575,000$ | 575,000$ | 575,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksanteri Kaskimaki | C | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Alexander Nikishin | D | 22 | 700,000$ | 70,000$ | 70,000$ | RFA | ||||||
Anthony Richard | C/LW | 27 | 775,000$ | 77,500$ | 77,500$ | UFA | ||||||
Brandon Biro | LW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Brock Faber | D | 21 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Brody Lamb | RW | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Chase Stillman | RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Cole O'Hara | RW | 22 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Cutter Gauthier | C/LW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Grant Mismash | C/LW | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jakub Dobes | G | 23 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Jared Davidson | C | 21 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Jaret Anderson-Dolan | C/LW/RW | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Justin Ertel | LW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Niklas Kokko | G | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Nikolai Makarov | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Quinton Byfield | C | 21 | 894,167$ | 89,417$ | 89,417$ | RFA | ||||||
Sam Lipkin | C/LW | 21 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Sam Rinzel | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Samuel Houde | C | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Shakir Mukhamadullin | D | 22 | 894,167$ | 89,417$ | 89,417$ | 89,417$ | RFA | |||||
Stephen Halliday | C | 21 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Tobias Bjornfot | D | 23 | 775,000$ | 77,500$ | 77,500$ | 77,500$ | RFA | |||||
Vincent Iorio | D | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
William Eklund | C/LW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
William von Barnekow | C/LW/RW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA |
Forward Lines | |||||||
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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 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 4.00 | -1.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 1 | 2 | 1 | 1 | 31.0 | 33 | 19 | 9 | 1 | 33.0 | 10.0 | 8.00 | 21.5 | 2.50 | 0.50 | 20.00% | 4.00 | 0.50 | 87.50% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 21.50 | 15.00 | 25.00 | 8.00 | 12.50 | 6.00 | 36.4% | 8.1% | 87.9% | 95.9 | Unlucky |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 5.5 | 9.5 | 0 | 0 | 2 | 0 | 5 | 2 | 29.0 | 23 | 13 | 20 | 8 | 37.0 | 13.5 | 6.00 | 22.5 | 3.50 | 0.50 | 14.29% | 3.00 | 1.00 | 66.67% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 22.00 | 15.00 | 27.00 | 7.00 | 12.50 | 6.00 | 53.8% | 13.8% | 89.2% | 103.0 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 2.00 | 5.00 | 2 | 1.000 | 7.0 | 12.0 | 19.0 | 0 | 0 | 3 | 2 | 2 | 0 | 56.0 | 19 | 21 | 16 | 0 | 34.0 | 5.0 | 8.00 | 27.0 | 4.00 | 2.00 | 50.00% | 4.00 | 1.00 | 75.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 27.00 | 19.00 | 20.00 | 6.00 | 12.00 | 6.00 | 83.3% | 12.5% | 94.1% | 106.6 | LUCKY |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 0 | 1 | 2 | 0 | 36.0 | 9 | 16 | 9 | 2 | 42.0 | 6.0 | 8.00 | 27.0 | 5.00 | 2.00 | 40.00% | 4.00 | 1.00 | 75.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.00 | 15.00 | 25.00 | 8.00 | 13.00 | 6.00 | 25.0% | 8.3% | 90.5% | 98.8 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 3 | 2 | 1 | 0 | 30.5 | 21 | 21 | 19 | 0 | 33.5 | 9.5 | 6.00 | 25.0 | 2.50 | 1.50 | 60.00% | 3.00 | 0.50 | 83.33% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 22.00 | 15.50 | 25.00 | 7.00 | 12.00 | 5.50 | 37.5% | 9.8% | 91.0% | 100.9 | FUN |
6 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 3 | 0 | 0 | 0 | 37.0 | 24 | 26 | 24 | 0 | 26.0 | 11.5 | 14.50 | 27.5 | 2.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 24.00 | 15.50 | 23.00 | 6.50 | 12.50 | 6.50 | 25.0% | 4.1% | 80.8% | 84.8 | Unlucky |
_Vs Division | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
_Vs Conference | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
_Since Last GM Reset | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN | |
Total | 10 | 2 | 5 | 0 | 1 | 1 | 1 | 0 | 3.20 | 3.80 | -0.60 | 9 | 0.450 | 3.2 | 5.2 | 8.4 | 0 | 0 | 12 | 7 | 11 | 3 | 34.7 | 129 | 116 | 97 | 11 | 33.5 | 10.0 | 8.50 | 24.7 | 3.10 | 0.90 | 29.03% | 3.50 | 0.70 | 80.00% | 0 | 175 | 353 | 49.58% | 155 | 332 | 46.69% | 97 | 185 | 52.43% | 23.20 | 15.80 | 24.70 | 7.30 | 12.70 | 6.30 | 42.6% | 9.2% | 88.7% | 97.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 353 |
Neutral Zone Start | 185 |
Defensive Zone Start | 332 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 427 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.9 | 9.57 |
2nd Period | 24.5 | 20.31 |
3rd Period | 34.2 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 23 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 1 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 31 |
---|---|
PP Goal | 9 |
PK Attempt | 35 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 33.5 |
Goals For | 3.2 |
Goals Against | 3.8 |
Hits | 24.7 |
Shots Blocked | 10.0 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | @ | ![]() | RIN1,SLA4 | RECAP | |||||||||
5 | ![]() | @ | ![]() | MOU5,RIN4 | RECAP | |||||||||
7 | ![]() | @ | ![]() | CRU3,RIN1 | RECAP | |||||||||
11 | ![]() | @ | ![]() | LYN3,RIN4 (OT) | RECAP | |||||||||
17 | ![]() | @ | ![]() | GWS2,RIN7 | RECAP | |||||||||
22 | ![]() | @ | ![]() | JAG4,RIN3 (OT) | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | RIN4,MOU3 (SO) | RECAP | |||||||||
27 | ![]() | @ | ![]() | SLA2,RIN5 | RECAP | |||||||||
28 | ![]() | @ | ![]() | RIN1,LYN5 | RECAP | |||||||||
29 | ![]() | @ | ![]() | RIN2,CRU7 | RECAP | |||||||||
30 | ![]() | @ | ![]() | |||||||||||
32 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,546,917$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Radnor | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,546,917$ | 78,546,917$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 17,476,271$ | 17,476,271$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aatos Koivu | ![]() | 2024 | 75 | 0 | |
Axel Sandin Pellikka | ![]() | 2023 | 20 | - | Link |
Brayden Yager | ![]() | 2023 | 12 | - | Link |
Carey Terrance | ![]() | 2023 | 42 | - | Link |
Chase Wutzke | ![]() | 2024 | 159 | 0 | |
Coulson Pitre | ![]() | 2023 | 70 | - | Link |
Juha Jatkola | ![]() | 2023 | 126 | - | Link |
Justin Gill | ![]() | 2023 | 154 | - | Link |
Logan Sawyer | ![]() | 2024 | 103 | 0 | |
Noah Chadwick | ![]() | 2023 | 182 | - | Link |
Riley Patterson | ![]() | 2024 | 131 | 0 | |
Sawyer Mynio | ![]() | 2023 | 98 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aatos Koivu | ![]() | 2024 | 75 | 0 | |
Axel Sandin Pellikka | ![]() | 2023 | 20 | - | Link |
Brayden Yager | ![]() | 2023 | 12 | - | Link |
Carey Terrance | ![]() | 2023 | 42 | - | Link |
Chase Wutzke | ![]() | 2024 | 159 | 0 | |
Coulson Pitre | ![]() | 2023 | 70 | - | Link |
Juha Jatkola | ![]() | 2023 | 126 | - | Link |
Justin Gill | ![]() | 2023 | 154 | - | Link |
Logan Sawyer | ![]() | 2024 | 103 | 0 | |
Noah Chadwick | ![]() | 2023 | 182 | - | Link |
Riley Patterson | ![]() | 2024 | 131 | 0 | |
Sawyer Mynio | ![]() | 2023 | 98 | - | Link |
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