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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Chicago Crusaders 6-5-0, 12pts · 6th 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 | 100.00 | 76 | 44 | 91 | 89 | 80 | 85 | 95 | 93 | 94 | 82 | 99 | 75 | 66 | 74 | 77 | 92 | 75 | 88 | 26 | 11,640,250$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 43 | 86 | 89 | 75 | 87 | 99 | 94 | 93 | 84 | 88 | 70 | 84 | 68 | 70 | 86 | 75 | 83 | 24 | 7,875,000$/7yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 43 | 94 | 88 | 62 | 79 | 99 | 85 | 57 | 80 | 88 | 78 | 25 | 64 | 66 | 85 | 75 | 83 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 77 | 45 | 89 | 89 | 80 | 79 | 98 | 95 | 40 | 81 | 92 | 72 | 63 | 81 | 83 | 87 | 75 | 83 | 33 | 6,500,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 73 | 43 | 91 | 83 | 72 | 78 | 99 | 87 | 25 | 87 | 85 | 67 | 85 | 66 | 68 | 86 | 75 | 81 | 24 | 7,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 76 | 55 | 82 | 83 | 84 | 78 | 92 | 84 | 79 | 79 | 88 | 67 | 73 | 67 | 67 | 84 | 75 | 80 | 26 | 7,142,857$/7yrs | |||
![]() | 18 | LW | 100.00 | 78 | 54 | 84 | 82 | 69 | 70 | 77 | 72 | 32 | 73 | 68 | 70 | 37 | 77 | 85 | 70 | 75 | 70 | 33 | 5,300,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 97 | 80 | 68 | 70 | 88 | 74 | 35 | 65 | 64 | 73 | 37 | 73 | 74 | 64 | 75 | 66 | 30 | 4,300,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 86 | 78 | 73 | 77 | 81 | 63 | 98 | 65 | 86 | 60 | 57 | 85 | 25 | 75 | 80 | 58 | 75 | 64 | 31 | 2,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 91 | 82 | 74 | 85 | 99 | 75 | 25 | 65 | 48 | 91 | 25 | 74 | 74 | 70 | 75 | 79 | 27 | 6,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 52 | 84 | 82 | 68 | 81 | 87 | 62 | 25 | 62 | 48 | 91 | 25 | 67 | 69 | 62 | 75 | 74 | 27 | 4,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 89 | 68 | 78 | 75 | 75 | 72 | 99 | 65 | 25 | 61 | 48 | 84 | 25 | 63 | 64 | 63 | 75 | 71 | 27 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 99 | 82 | 64 | 75 | 60 | 77 | 25 | 60 | 48 | 67 | 25 | 63 | 63 | 69 | 75 | 69 | 23 | 2,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 91 | 75 | 67 | 64 | 71 | 67 | 25 | 64 | 54 | 74 | 25 | 46 | 46 | 66 | 75 | 69 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 89 | 78 | 77 | 78 | 86 | 62 | 25 | 51 | 47 | 84 | 25 | 67 | 68 | 57 | 75 | 69 | 27 | 3,400,000$/5yrs | |||
![]() | 0 | D | 100.00 | 82 | 78 | 80 | 70 | 82 | 67 | 81 | 62 | 25 | 50 | 47 | 85 | 25 | 57 | 58 | 57 | 75 | 68 | 28 | 450,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 84 | 75 | 72 | 67 | 62 | 63 | 25 | 51 | 49 | 77 | 25 | 61 | 61 | 58 | 75 | 66 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 85 | 68 | 85 | 72 | 67 | 62 | 25 | 44 | 47 | 84 | 25 | 63 | 63 | 54 | 75 | 66 | 31 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 50 | 87 | 80 | 74 | 75 | 87 | 75 | 43 | 67 | 65 | 77 | 40 | 67 | 69 | 70 | 75 | 74 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 60 | 60 | 58 | 86 | 65 | 54 | 69 | 62 | 65 | 60 | 90 | 47 | 48 | 74 | 75 | 70 | 24 | 850,833$/1yrs |
![]() | 0 | 100.00 | 55 | 53 | 66 | 72 | 56 | 62 | 55 | 55 | 55 | 55 | 48 | 39 | 39 | 55 | 75 | 58 | 21 | 450,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 58 | 57 | 62 | 79 | 61 | 58 | 62 | 59 | 60 | 58 | 69 | 43 | 44 | 65 | 75 | 64 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | UHL |
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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 | Nick Suzuki | ![]() | 0 | C | 11 | 8 | 5 | 13 | -1 | 6 | 0 | 7 | 35 | 17 | 37 | 22.86% | 3 | 21.51 | 1 | 1 | 2 | 0 | 0 | 0 | 32 | 2 | 0 | 55.39% | 269 | 0 | 0 | 0 | 1 | 1.10 | 0 | 0 |
2 | Chris Kreider | ![]() | 0 | LW | 11 | 4 | 7 | 11 | -1 | 6 | 0 | 19 | 44 | 13 | 46 | 9.09% | 1 | 19.72 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 |
3 | Jason Robertson | ![]() | 0 | LW | 11 | 3 | 7 | 10 | 6 | 4 | 0 | 11 | 39 | 13 | 30 | 7.69% | 1 | 16.12 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 | 18.75% | 16 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 |
4 | Tage Thompson | ![]() | 0 | C | 11 | 6 | 3 | 9 | 6 | 2 | 0 | 25 | 27 | 5 | 20 | 22.22% | 5 | 14.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 47.09% | 206 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 |
5 | Seth Jarvis | ![]() | 0 | C/LW/RW | 11 | 7 | 1 | 8 | -1 | 8 | 0 | 8 | 51 | 14 | 41 | 13.73% | 1 | 21.05 | 2 | 1 | 3 | 0 | 0 | 0 | 13 | 1 | 0 | 58.82% | 34 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
6 | Ivan Provorov | ![]() | 0 | D | 11 | 1 | 7 | 8 | 2 | 4 | 0 | 16 | 17 | 4 | 4 | 5.88% | 15 | 21.04 | 1 | 2 | 3 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
7 | Auston Matthews | ![]() | 0 | C | 11 | 1 | 6 | 7 | -2 | 2 | 0 | 15 | 76 | 24 | 67 | 1.32% | 3 | 23.93 | 0 | 1 | 1 | 0 | 0 | 0 | 33 | 0 | 0 | 58.66% | 329 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
8 | Ondrej Palat | ![]() | 18 | LW | 11 | 2 | 4 | 6 | 0 | 2 | 0 | 20 | 18 | 3 | 15 | 11.11% | 1 | 20.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 16 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
9 | Alex Iafallo | ![]() | 0 | C/LW | 11 | 1 | 5 | 6 | 4 | 2 | 0 | 6 | 21 | 3 | 14 | 4.76% | 2 | 17.47 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 26.53% | 49 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
10 | Sam Malinski | ![]() | 0 | D | 11 | 0 | 3 | 3 | 0 | 0 | 0 | 14 | 4 | 0 | 2 | 0.00% | 8 | 9.83 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
11 | John Marino | ![]() | 0 | D | 11 | 0 | 3 | 3 | 2 | 2 | 0 | 15 | 16 | 4 | 8 | 0.00% | 19 | 21.11 | 0 | 1 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
12 | Will Borgen | ![]() | 0 | D | 11 | 1 | 2 | 3 | -5 | 26 | 10 | 24 | 11 | 2 | 9 | 9.09% | 10 | 19.30 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
13 | Gustav Lindstrom | ![]() | 0 | D | 11 | 1 | 2 | 3 | 5 | 2 | 0 | 10 | 5 | 0 | 2 | 20.00% | 10 | 9.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
14 | Adam Boqvist | ![]() | 0 | D | 11 | 1 | 1 | 2 | -1 | 0 | 0 | 8 | 3 | 1 | 4 | 33.33% | 8 | 9.47 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
15 | Jonas Siegenthaler | ![]() | 0 | D | 11 | 0 | 2 | 2 | -5 | 10 | 0 | 10 | 6 | 3 | 8 | 0.00% | 18 | 19.60 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
16 | Barclay Goodrow | ![]() | 0 | C/LW/RW | 11 | 0 | 1 | 1 | 0 | 11 | 5 | 31 | 10 | 2 | 25 | 0.00% | 1 | 19.29 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 18 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 |
17 | Vincent Desharnais | ![]() | 0 | D | 11 | 0 | 0 | 0 | 5 | 8 | 0 | 13 | 6 | 1 | 1 | 0.00% | 9 | 9.62 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jaycob Megna | ![]() | 0 | D | 11 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 36 | 59 | 95 | 13 | 95 | 15 | 253 | 389 | 110 | 334 | 9.25% | 115 | 16.35 | 6 | 8 | 14 | 441 | 0 | 0 | 0 | 222 | 6 | 4 | 52.11% | 948 | 0 | 0 | 0 | 1 | 0.59 | 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 | Akira Schmid | ![]() | 11 | 6 | 5 | 0 | 0.910 | 2.91 | 659 | 0 | 0 | 32 | 356 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 1 | 0 |
Team Total or Average | 11 | 6 | 5 | 0 | 0.910 | 2.91 | 659 | 0 | 0 | 32 | 356 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 1 | 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 2 | 1 | 4 | 0 | 36.0 | 20 | 25 | 27 | 0 | 24.0 | 5.0 | 5.00 | 23.5 | 4.50 | 0.50 | 11.11% | 2.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.50 | 17.50 | 21.00 | 7.00 | 13.00 | 6.50 | 66.7% | 9.7% | 93.8% | 103.5 | LUCKY |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 33.0 | 9 | 10 | 14 | 0 | 32.0 | 21.0 | 6.00 | 22.0 | 2.00 | 1.00 | 50.00% | 3.00 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 24.00 | 16.00 | 25.00 | 5.00 | 10.00 | 5.00 | 20.0% | 6.1% | 87.5% | 93.6 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 3 | 2 | 0 | 40.0 | 31 | 24 | 25 | 0 | 39.5 | 12.5 | 7.00 | 19.0 | 4.50 | 1.00 | 22.22% | 3.00 | 0.50 | 83.33% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.50 | 18.50 | 21.50 | 7.00 | 12.00 | 5.50 | 42.9% | 10.0% | 88.6% | 98.6 | FUN |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 2 | 1 | 0 | 34.5 | 24 | 27 | 18 | 0 | 32.0 | 10.5 | 24.00 | 26.5 | 5.50 | 0.00 | 0.00% | 5.50 | 1.50 | 72.73% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.00 | 17.50 | 22.00 | 7.00 | 12.00 | 6.00 | 44.4% | 5.8% | 87.5% | 93.3 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 3.5 | 6.0 | 0 | 0 | 4 | 1 | 0 | 0 | 41.5 | 28 | 23 | 32 | 0 | 29.5 | 10.0 | 1.00 | 23.0 | 5.50 | 0.50 | 9.09% | 0.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 26.50 | 18.50 | 21.00 | 6.00 | 12.00 | 6.00 | 44.4% | 6.0% | 91.5% | 97.5 | DULL |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 1 | 4 | 5 | 0 | 26.0 | 15 | 19 | 18 | 0 | 37.0 | 9.0 | 7.50 | 23.5 | 3.50 | 0.50 | 14.29% | 2.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 23.00 | 16.00 | 24.00 | 8.00 | 12.50 | 6.00 | 75.0% | 19.2% | 95.9% | 115.2 | LUCKY |
_Vs Division | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
_Vs Conference | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
_Since Last GM Reset | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
Total | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 406 |
Neutral Zone Start | 176 |
Defensive Zone Start | 366 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 494 |
Faceoffs Lost | 454 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 35.4 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 4 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 49 |
---|---|
PP Goal | 6 |
PK Attempt | 31 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 35.4 |
Shots Against | 32.4 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 23.0 |
Shots Blocked | 10.5 |
Pim | 8.6 |
![]() | |
Total Salaries | 78,103,107$ |
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) | 42 |
Goalies Signed (min. 6) | 4 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Crusaders Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | RFA | |||||
Akira Schmid | G | 24 | 850,833$ | 850,833$ | 850,833$ | RFA | ||||||
Alex Iafallo | C/LW | 30 | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||||
Auston Matthews | C | 26 | 11,640,250$ | 11,640,250$ | 11,640,250$ | RFA | ||||||
Barclay Goodrow | C/LW/RW | 31 | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | ||||||
Chris Kreider | LW | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Gustav Lindstrom | D | 25 | 950,000$ | 950,000$ | 950,000$ | RFA | ||||||
Ivan Provorov | D | 27 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Jason Robertson | LW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | RFA | ||||
Jaycob Megna | D | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||||
John Marino | D | 27 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||
Jonas Siegenthaler | D | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||
Nick Suzuki | C | 24 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Ondrej Palat | LW | 33 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Sam Malinski | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Semyon Vyazovoy | G | 21 | 450,000$ | 450,000$ | 450,000$ | RFA | ||||||
Seth Jarvis | C/LW/RW | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | ||||||
Tage Thompson | C | 26 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA |
Vincent Desharnais | D | 28 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Will Borgen | D | 27 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C/LW/RW | 23 | 846,667$ | 84,667$ | 84,667$ | 84,667$ | RFA | |||||
Adam Gajan | G | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Brian Zanetti | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Bulat Shafigullin | LW/RW | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Cameron MacDonald | C/LW/RW | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
David Jiricek | D | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Dominic James | C/LW | 21 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Donovan Sebrango | D | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Eamon Powell | D | 22 | 525,000$ | 52,500$ | 52,500$ | 52,500$ | 52,500$ | RFA | ||||
Helge Grans | D | 22 | 847,500$ | 84,750$ | 84,750$ | 84,750$ | RFA | |||||
Henrik Rybinski | C/LW/RW | 23 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Jimmy Snuggerud | RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Jonas Rondbjerg | LW/RW | 25 | 766,667$ | 76,667$ | 76,667$ | 76,667$ | RFA | |||||
Jonathan Myrenberg | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Lane Hutson | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Luke Mittelstadt | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Matthew Maggio | RW | 21 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Michael Vukojevic | D | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Noah Laba | C | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Patrik Hamrla | G | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Samuel Helenius | C | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Trevor Kuntar | C/LW | 23 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 2 | 1 | 4 | 0 | 36.0 | 20 | 25 | 27 | 0 | 24.0 | 5.0 | 5.00 | 23.5 | 4.50 | 0.50 | 11.11% | 2.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.50 | 17.50 | 21.00 | 7.00 | 13.00 | 6.50 | 66.7% | 9.7% | 93.8% | 103.5 | LUCKY |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 33.0 | 9 | 10 | 14 | 0 | 32.0 | 21.0 | 6.00 | 22.0 | 2.00 | 1.00 | 50.00% | 3.00 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 24.00 | 16.00 | 25.00 | 5.00 | 10.00 | 5.00 | 20.0% | 6.1% | 87.5% | 93.6 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 3 | 2 | 0 | 40.0 | 31 | 24 | 25 | 0 | 39.5 | 12.5 | 7.00 | 19.0 | 4.50 | 1.00 | 22.22% | 3.00 | 0.50 | 83.33% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.50 | 18.50 | 21.50 | 7.00 | 12.00 | 5.50 | 42.9% | 10.0% | 88.6% | 98.6 | FUN |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 2 | 1 | 0 | 34.5 | 24 | 27 | 18 | 0 | 32.0 | 10.5 | 24.00 | 26.5 | 5.50 | 0.00 | 0.00% | 5.50 | 1.50 | 72.73% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.00 | 17.50 | 22.00 | 7.00 | 12.00 | 6.00 | 44.4% | 5.8% | 87.5% | 93.3 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 3.5 | 6.0 | 0 | 0 | 4 | 1 | 0 | 0 | 41.5 | 28 | 23 | 32 | 0 | 29.5 | 10.0 | 1.00 | 23.0 | 5.50 | 0.50 | 9.09% | 0.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 26.50 | 18.50 | 21.00 | 6.00 | 12.00 | 6.00 | 44.4% | 6.0% | 91.5% | 97.5 | DULL |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 1 | 4 | 5 | 0 | 26.0 | 15 | 19 | 18 | 0 | 37.0 | 9.0 | 7.50 | 23.5 | 3.50 | 0.50 | 14.29% | 2.50 | 0.00 | 100.00% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 23.00 | 16.00 | 24.00 | 8.00 | 12.50 | 6.00 | 75.0% | 19.2% | 95.9% | 115.2 | LUCKY |
_Vs Division | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
_Vs Conference | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
_Since Last GM Reset | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN | |
Total | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 3.27 | 2.91 | 0.36 | 12 | 0.545 | 3.3 | 5.4 | 8.6 | 0 | 0 | 12 | 12 | 12 | 0 | 35.4 | 127 | 128 | 134 | 0 | 32.4 | 10.5 | 8.64 | 23.0 | 4.45 | 0.55 | 12.24% | 2.82 | 0.36 | 87.10% | 0 | 216 | 406 | 53.20% | 194 | 366 | 53.01% | 84 | 176 | 47.73% | 25.09 | 17.82 | 22.45 | 7.00 | 12.27 | 6.27 | 51.7% | 9.3% | 91.0% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 406 |
Neutral Zone Start | 176 |
Defensive Zone Start | 366 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 494 |
Faceoffs Lost | 454 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 35.4 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 4 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 49 |
---|---|
PP Goal | 6 |
PK Attempt | 31 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 35.4 |
Shots Against | 32.4 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 23.0 |
Shots Blocked | 10.5 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | MOU4,CRU2 | RECAP | |||||||||
5 | ![]() | @ | ![]() | GWS6,CRU2 | RECAP | |||||||||
7 | ![]() | @ | ![]() | CRU3,RIN1 | RECAP | |||||||||
12 | ![]() | @ | ![]() | CRU2,JAG5 | RECAP | |||||||||
14 | ![]() | @ | ![]() | JAG3,CRU2 | RECAP | |||||||||
18 | ![]() | @ | ![]() | LYN2,CRU4 | RECAP | |||||||||
21 | ![]() | @ | ![]() | CRU3,LYN1 | RECAP | |||||||||
23 | ![]() | @ | ![]() | SLA3,CRU2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | CRU6,GWS3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | CRU3,SLA2 | RECAP | |||||||||
29 | ![]() | @ | ![]() | RIN2,CRU7 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,103,107$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Chicago | ||
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 |
78,103,107$ | 78,103,107$ | 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$ | 49,282,315$ | 49,282,315$ |
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 |
---|---|---|---|---|---|
Aiden Celebrini | ![]() | 2023 | 166 | - | Link |
Austin Roest | ![]() | 2023 | 130 | - | Link |
Berkly Catton | ![]() | 2024 | 14 | 0 | |
Bradly Nadeau | ![]() | 2023 | 26 | - | Link |
Dylan Roobroeck | ![]() | 2023 | 186 | - | Link |
Hampton Slukynsky | ![]() | 2023 | 64 | - | Link |
Hudson Malinoski | ![]() | 2023 | 158 | - | Link |
Hunter Brzustewicz | ![]() | 2023 | 46 | - | Link |
Jacob Fowler | ![]() | 2023 | 51 | - | Link |
Jakub Milota | ![]() | 2024 | 126 | 0 | |
Javon Moore | ![]() | 2024 | 154 | 0 | |
Louka Cloutier | ![]() | 2024 | 182 | 0 | |
Nick Lardis | ![]() | 2023 | 54 | - | Link |
Paul Fischer | ![]() | 2023 | 150 | - | Link |
Quentin Musty | ![]() | 2023 | 18 | - | Link |
Rodwin Dionicio | ![]() | 2023 | 102 | - | Link |
Ryan Leonard | ![]() | 2023 | 9 | - | Link |
Viggo Gustafsson | ![]() | 2024 | 98 | 0 |
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 |
---|---|---|---|---|---|
Aiden Celebrini | ![]() | 2023 | 166 | - | Link |
Austin Roest | ![]() | 2023 | 130 | - | Link |
Berkly Catton | ![]() | 2024 | 14 | 0 | |
Bradly Nadeau | ![]() | 2023 | 26 | - | Link |
Dylan Roobroeck | ![]() | 2023 | 186 | - | Link |
Hampton Slukynsky | ![]() | 2023 | 64 | - | Link |
Hudson Malinoski | ![]() | 2023 | 158 | - | Link |
Hunter Brzustewicz | ![]() | 2023 | 46 | - | Link |
Jacob Fowler | ![]() | 2023 | 51 | - | Link |
Jakub Milota | ![]() | 2024 | 126 | 0 | |
Javon Moore | ![]() | 2024 | 154 | 0 | |
Louka Cloutier | ![]() | 2024 | 182 | 0 | |
Nick Lardis | ![]() | 2023 | 54 | - | Link |
Paul Fischer | ![]() | 2023 | 150 | - | Link |
Quentin Musty | ![]() | 2023 | 18 | - | Link |
Rodwin Dionicio | ![]() | 2023 | 102 | - | Link |
Ryan Leonard | ![]() | 2023 | 9 | - | Link |
Viggo Gustafsson | ![]() | 2024 | 98 | 0 |
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