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Full Scoreboard ยป |
Detroit Red Wings 23-10-4, 50pts · 2nd in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 61 | 8 | 89 | 99 | 76 | 99 | 95 | 99 | 84 | 99 | 99 | 40 | 84 | 89 | 90 | 66 | 72 | 83 | 28 | 6,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 1 | 99 | 93 | 75 | 98 | 99 | 87 | 97 | 93 | 93 | 59 | 87 | 76 | 79 | 82 | 72 | 81 | 31 | 9,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 34 | 87 | 82 | 76 | 81 | 81 | 93 | 36 | 82 | 78 | 62 | 75 | 64 | 64 | 55 | 72 | 74 | 25 | 4,975,000$/4yrs | |||
![]() | 0 | C | 100.00 | 80 | 33 | 46 | 79 | 73 | 80 | 91 | 88 | 72 | 81 | 80 | 71 | 75 | 53 | 53 | 82 | 72 | 74 | 23 | 2,900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 3 | 95 | 85 | 60 | 98 | 81 | 84 | 36 | 86 | 73 | 63 | 89 | 68 | 71 | 80 | 72 | 73 | 36 | 3,850,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 20 | 87 | 82 | 65 | 77 | 87 | 78 | 26 | 76 | 87 | 61 | 42 | 69 | 69 | 52 | 72 | 72 | 26 | 4,250,000$/3yrs | |||
![]() | 0 | C | 100.00 | 32 | 8 | 99 | 80 | 73 | 79 | 95 | 83 | 63 | 70 | 82 | 63 | 77 | 52 | 52 | 83 | 72 | 70 | 23 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 81 | 74 | 72 | 85 | 85 | 79 | 72 | 72 | 72 | 63 | 76 | 40 | 40 | 90 | 72 | 68 | 18 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 69 | 36 | 76 | 77 | 76 | 67 | 78 | 77 | 66 | 66 | 75 | 64 | 72 | 63 | 63 | 63 | 59 | 68 | 26 | 1,950,000$/1yrs | |||
![]() | 0 | C | 100.00 | 47 | 20 | 86 | 77 | 63 | 84 | 85 | 79 | 67 | 72 | 72 | 53 | 76 | 40 | 40 | 90 | 72 | 66 | 19 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 53 | 29 | 88 | 73 | 73 | 82 | 85 | 74 | 68 | 63 | 76 | 56 | 80 | 40 | 40 | 90 | 59 | 65 | 20 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 37 | 16 | 99 | 77 | 65 | 80 | 95 | 75 | 61 | 60 | 76 | 49 | 78 | 53 | 53 | 82 | 72 | 65 | 21 | 850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 45 | 1 | 99 | 91 | 79 | 99 | 99 | 74 | 25 | 64 | 51 | 96 | 53 | 85 | 85 | 48 | 72 | 78 | 29 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 16 | 92 | 88 | 79 | 96 | 96 | 81 | 25 | 65 | 55 | 81 | 25 | 74 | 75 | 67 | 72 | 76 | 31 | 4,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 39 | 77 | 84 | 90 | 87 | 91 | 60 | 25 | 50 | 50 | 86 | 25 | 81 | 82 | 46 | 72 | 76 | 28 | 5,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 19 | 86 | 72 | 82 | 85 | 88 | 61 | 25 | 52 | 48 | 86 | 25 | 63 | 64 | 63 | 72 | 71 | 31 | 2,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 50 | 1 | 99 | 85 | 70 | 90 | 90 | 65 | 25 | 59 | 45 | 78 | 25 | 76 | 76 | 49 | 72 | 70 | 29 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 31 | 76 | 74 | 77 | 71 | 95 | 58 | 25 | 58 | 47 | 75 | 48 | 54 | 54 | 81 | 72 | 66 | 23 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 60 | 20 | 87 | 82 | 74 | 85 | 90 | 78 | 50 | 70 | 70 | 67 | 62 | 63 | 64 | 71 | 71 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 78 | 80 | 85 | 82 | 82 | 86 | 90 | 87 | 88 | 82 | 88 | 48 | 48 | 67 | 81 | 78 | 26 | 6,200,000$/3yrs |
![]() | 0 | 100.00 | 69 | 77 | 67 | 69 | 68 | 69 | 76 | 80 | 70 | 68 | 69 | 47 | 47 | 75 | 81 | 67 | 24 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 79 | 76 | 76 | 75 | 78 | 83 | 84 | 79 | 75 | 79 | 48 | 48 | 71 | 81 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 46 | 86 | 78 | 71 | 84 | 65 | 66 | CAN | 65 | 5 | 2,500,000$ |
General Manager | Mario Fournier |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tyler Seguin | 0 | C/RW | 37 | 18 | 30 | 48 | 16 | 0 | 0 | 35 | 138 | 34 | 93 | 13.04% | 16 | 18.99 | 4 | 8 | 12 | 75 | 0 | 1 | 1 | 77 | 3 | 3 | 60.82% | 97 | 46 | 7 | 2 | 1 | 1.37 | 1 | 3 | |
2 | Nathan MacKinnon | 0 | C/RW | 37 | 20 | 20 | 40 | -1 | 8 | 0 | 47 | 171 | 37 | 104 | 11.70% | 11 | 21.22 | 3 | 7 | 10 | 79 | 1 | 0 | 1 | 75 | 5 | 1 | 57.14% | 238 | 57 | 13 | 0 | 1 | 1.02 | 1 | 3 | |
3 | Mats Zuccarello | 0 | LW/RW | 37 | 13 | 24 | 37 | 0 | 8 | 0 | 52 | 126 | 47 | 82 | 10.32% | 17 | 21.46 | 2 | 6 | 8 | 79 | 1 | 1 | 2 | 79 | 4 | 2 | 36.54% | 52 | 27 | 14 | 1 | 0 | 0.93 | 0 | 0 | |
4 | Austin Roest | 0 | C | 37 | 6 | 22 | 28 | 7 | 16 | 0 | 40 | 69 | 18 | 38 | 8.70% | 17 | 17.77 | 5 | 7 | 12 | 77 | 0 | 0 | 0 | 0 | 0 | 0 | 40.64% | 716 | 14 | 6 | 0 | 0 | 0.85 | 0 | 0 | |
5 | Adam Fantilli | 0 | C | 37 | 16 | 11 | 27 | 6 | 26 | 0 | 49 | 92 | 19 | 62 | 17.39% | 18 | 17.87 | 2 | 4 | 6 | 77 | 0 | 0 | 0 | 20 | 1 | 0 | 46.80% | 562 | 9 | 10 | 1 | 0 | 0.82 | 0 | 0 | |
6 | Drake Batherson | 0 | C/RW | 37 | 9 | 11 | 20 | 3 | 8 | 0 | 46 | 102 | 27 | 61 | 8.82% | 14 | 13.80 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 12 | 3 | 2 | 31.78% | 129 | 17 | 3 | 0 | 0 | 0.78 | 0 | 0 | |
7 | Troy Terry | 0 | C/RW | 37 | 12 | 6 | 18 | -3 | 0 | 0 | 23 | 53 | 21 | 32 | 22.64% | 7 | 9.43 | 6 | 4 | 10 | 35 | 0 | 0 | 0 | 0 | 2 | 1 | 40.00% | 20 | 14 | 2 | 0 | 0 | 1.03 | 0 | 1 | |
8 | Alexander Khovanov | 0 | C | 37 | 8 | 9 | 17 | -4 | 36 | 0 | 68 | 97 | 33 | 53 | 8.25% | 9 | 12.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 46.95% | 328 | 17 | 8 | 0 | 0 | 0.71 | 1 | 1 | |
9 | Justin Faulk | 0 | D | 37 | 4 | 10 | 14 | 5 | 20 | 0 | 53 | 48 | 26 | 23 | 8.33% | 47 | 22.73 | 2 | 2 | 4 | 81 | 0 | 1 | 1 | 75 | 0 | 0 | 0.00% | 0 | 6 | 19 | 0 | 0 | 0.33 | 0 | 0 | |
10 | Jaccob Slavin | 0 | D | 37 | 0 | 11 | 11 | 3 | 2 | 0 | 14 | 35 | 18 | 12 | 0.00% | 51 | 23.07 | 0 | 2 | 2 | 81 | 0 | 0 | 0 | 84 | 0 | 0 | 0.00% | 0 | 5 | 26 | 0 | 0 | 0.26 | 0 | 0 | |
11 | James Hardie | 0 | LW | 37 | 5 | 5 | 10 | 9 | 0 | 0 | 16 | 36 | 9 | 18 | 13.89% | 8 | 14.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 37.50% | 24 | 4 | 8 | 1 | 0 | 0.37 | 0 | 0 | |
12 | Nikita Zadorov | 0 | D | 37 | 0 | 9 | 9 | -2 | 22 | 0 | 65 | 43 | 18 | 26 | 0.00% | 58 | 21.73 | 0 | 2 | 2 | 75 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 2 | 42 | 0 | 0 | 0.22 | 0 | 0 | |
13 | Troy Stecher | 0 | D | 37 | 0 | 7 | 7 | 9 | 0 | 0 | 12 | 26 | 6 | 4 | 0.00% | 33 | 15.81 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 1 | 29 | 0 | 0 | 0.24 | 0 | 0 | |
14 | Patrik Nemeth | 0 | D | 37 | 1 | 5 | 6 | -1 | 16 | 0 | 36 | 40 | 14 | 16 | 2.50% | 50 | 21.70 | 1 | 1 | 2 | 75 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 2 | 33 | 0 | 0 | 0.15 | 0 | 0 | |
15 | Giovanni Vallati | 0 | D | 37 | 0 | 5 | 5 | 8 | 8 | 0 | 31 | 30 | 8 | 9 | 0.00% | 44 | 15.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 1 | 25 | 0 | 0 | 0.17 | 0 | 0 | |
16 | Allan McShane | 0 | C | 37 | 0 | 4 | 4 | 1 | 0 | 0 | 1 | 44 | 18 | 20 | 0.00% | 9 | 6.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.70% | 46 | 9 | 6 | 0 | 0 | 0.33 | 0 | 0 | |
17 | Rem Pitlick | 0 | LW | 31 | 2 | 2 | 4 | 2 | 10 | 0 | 30 | 25 | 16 | 25 | 8.00% | 9 | 12.24 | 1 | 0 | 1 | 43 | 0 | 0 | 0 | 46 | 0 | 0 | 43.48% | 23 | 6 | 5 | 0 | 0 | 0.21 | 0 | 0 | |
18 | Francesco Arcuri | 0 | LW | 25 | 2 | 0 | 2 | -4 | 6 | 0 | 7 | 10 | 11 | 7 | 20.00% | 3 | 7.57 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 66.67% | 3 | 6 | 1 | 0 | 0 | 0.21 | 0 | 0 | |
Team Total or Average | 648 | 116 | 191 | 307 | 54 | 186 | 0 | 625 | 1185 | 380 | 685 | 9.79% | 421 | 16.60 | 26 | 44 | 70 | 793 | 2 | 3 | 5 | 659 | 21 | 9 | 45.53% | 2238 | 243 | 257 | 5 | 2 | 0.57 | 3 | 8 |
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 | Logan Thompson | Red Wings | 33 | 21 | 8 | 4 | 0.931 | 2.40 | 2001 | 2 | 1 | 80 | 1160 | 532 | 1 | 3 | 0.778 | 9 | 33 | 4 | 7 | 3 | 6 |
2 | Jaxson Stauber | Red Wings | 4 | 2 | 2 | 0 | 0.919 | 3.01 | 239 | 0 | 0 | 12 | 148 | 79 | 1 | 0 | 0.000 | 0 | 4 | 33 | 1 | 1 | 0 |
Team Total or Average | 37 | 23 | 10 | 4 | 0.930 | 2.46 | 2240 | 2 | 1 | 92 | 1308 | 611 | 2 | 3 | 0.778 | 9 | 37 | 37 | 8 | 4 | 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 |
# | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 0 | 1 | 23 | 2 | 14 | 5 | 2 | 50 | 18 | 8 | 17 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 19 | 10 | 26 | 8 | 17 | 8 | 60.0% | 17.4% | 94.0% | 111.4 | LUCKY | |
2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 66 | 22 | 26 | 18 | 0 | 79 | 28 | 8 | 41 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 41 | 23 | 45 | 16 | 34 | 17 | 50.0% | 6.1% | 94.9% | 101.0 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 29 | 8 | 11 | 10 | 0 | 34 | 10 | 10 | 19 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 20 | 11 | 22 | 9 | 17 | 8 | 83.3% | 20.7% | 94.1% | 114.8 | LUCKY | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 1 | 4 | 4 | 0 | 76 | 32 | 17 | 27 | 0 | 61 | 21 | 12 | 33 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 45 | 25 | 39 | 17 | 35 | 18 | 75.0% | 11.8% | 95.1% | 106.9 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 13 | 6 | 9 | 0 | 32 | 10 | 4 | 19 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 21 | 12 | 21 | 8 | 17 | 8 | 100.0% | 3.6% | 100.0% | 103.6 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 34 | 9 | 13 | 12 | 0 | 36 | 16 | 0 | 9 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 20 | 11 | 22 | 8 | 16 | 8 | 40.0% | 5.9% | 91.7% | 97.5 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 57 | 15 | 22 | 20 | 0 | 74 | 27 | 12 | 36 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 1 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 40 | 24 | 46 | 18 | 33 | 15 | 31.3% | 12.3% | 83.8% | 96.1 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 3 | 0 | 0 | 0 | 28 | 19 | 7 | 2 | 0 | 31 | 6 | 10 | 16 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 21 | 12 | 22 | 8 | 15 | 8 | 40.0% | 10.7% | 83.9% | 94.6 | FUN | |
9 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 17 | 28 | 0 | 0 | 5 | 1 | 4 | 1 | 133 | 50 | 38 | 44 | 5 | 133 | 51 | 24 | 63 | 13 | 3 | 23.08% | 12 | 2 | 83.33% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 84 | 50 | 88 | 36 | 71 | 35 | 53.3% | 8.3% | 93.2% | 101.5 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 3 | 0 | 34 | 6 | 11 | 17 | 0 | 31 | 8 | 10 | 13 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 19 | 10 | 23 | 9 | 17 | 7 | 87.5% | 20.6% | 96.8% | 117.4 | LUCKY | |
11 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 1 | 3 | 4 | 3 | 63 | 15 | 23 | 23 | 4 | 72 | 12 | 16 | 40 | 7 | 3 | 42.86% | 8 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 46 | 28 | 44 | 17 | 34 | 17 | 46.7% | 15.9% | 88.9% | 104.8 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 3 | 2 | 4 | 0 | 63 | 18 | 25 | 20 | 0 | 80 | 29 | 2 | 26 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 40 | 25 | 47 | 16 | 31 | 15 | 61.5% | 14.3% | 93.8% | 108.0 | LUCKY | |
13 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.400 | 11 | 20 | 31 | 0 | 0 | 1 | 5 | 5 | 0 | 161 | 45 | 67 | 49 | 0 | 174 | 61 | 24 | 92 | 8 | 4 | 50.00% | 12 | 2 | 83.33% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 105 | 65 | 110 | 42 | 83 | 40 | 43.8% | 6.8% | 93.7% | 100.5 | DULL | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 33 | 14 | 10 | 7 | 2 | 34 | 13 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 22 | 14 | 21 | 8 | 16 | 8 | 57.1% | 12.1% | 91.2% | 103.3 | LUCKY | |
15 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 18 | 30 | 0 | 0 | 3 | 3 | 6 | 0 | 107 | 31 | 38 | 38 | 0 | 111 | 38 | 8 | 45 | 14 | 3 | 21.43% | 4 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 64 | 39 | 69 | 23 | 45 | 24 | 69.2% | 11.2% | 96.4% | 107.6 | LUCKY | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 104 | 34 | 26 | 44 | 0 | 100 | 29 | 14 | 50 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 63 | 39 | 65 | 26 | 50 | 24 | 60.0% | 6.7% | 95.0% | 101.7 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 32 | 10 | 12 | 10 | 0 | 39 | 11 | 4 | 12 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 22 | 13 | 22 | 8 | 15 | 7 | 28.6% | 9.4% | 87.2% | 96.6 | FUN | |
18 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 9 | -1 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 0 | 4 | 4 | 0 | 108 | 35 | 40 | 33 | 2 | 113 | 31 | 14 | 54 | 2 | 1 | 50.00% | 7 | 2 | 71.43% | 1 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 64 | 38 | 71 | 26 | 52 | 25 | 50.0% | 7.4% | 92.0% | 99.4 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 2 | 0 | 0 | 0 | 25 | 11 | 4 | 10 | 0 | 27 | 8 | 8 | 26 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 21 | 10 | 19 | 9 | 19 | 9 | 25.0% | 8.0% | 85.2% | 93.2 | Unlucky | |
_Vs Division | 17 | 11 | 5 | 0 | 0 | 0 | 1 | 0 | 50 | 34 | 16 | 24 | 0.706 | 50 | 81 | 131 | 0 | 0 | 16 | 12 | 21 | 1 | 568 | 178 | 194 | 195 | 5 | 598 | 208 | 72 | 276 | 44 | 12 | 27.27% | 36 | 5 | 86.11% | 0 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 359 | 220 | 382 | 145 | 282 | 139 | 56.7% | 8.8% | 94.3% | 103.1 | DULL | |
_Vs Conference | 22 | 12 | 7 | 0 | 0 | 1 | 1 | 1 | 63 | 52 | 11 | 28 | 0.636 | 63 | 100 | 163 | 2 | 0 | 18 | 17 | 27 | 1 | 733 | 234 | 250 | 248 | 7 | 777 | 258 | 98 | 368 | 56 | 15 | 26.79% | 49 | 8 | 83.67% | 1 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 467 | 283 | 496 | 189 | 370 | 183 | 52.2% | 8.6% | 93.3% | 101.9 | DULL | |
_Since Last GM Reset | 37 | 18 | 10 | 0 | 3 | 3 | 2 | 1 | 120 | 96 | 24 | 50 | 0.676 | 120 | 194 | 314 | 3 | 1 | 32 | 35 | 48 | 6 | 1204 | 389 | 410 | 398 | 15 | 1311 | 427 | 192 | 633 | 98 | 26 | 26.53% | 96 | 14 | 85.42% | 2 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 787 | 470 | 830 | 321 | 626 | 311 | 53.4% | 10.0% | 92.7% | 102.6 | LUCKY | |
Total | 37 | 18 | 10 | 0 | 3 | 3 | 2 | 1 | 120 | 96 | 24 | 50 | 0.676 | 120 | 194 | 314 | 3 | 1 | 32 | 35 | 48 | 6 | 1204 | 389 | 410 | 398 | 15 | 1311 | 427 | 192 | 633 | 98 | 26 | 26.53% | 96 | 14 | 85.42% | 2 | 368 | 797 | 46.17% | 416 | 896 | 46.43% | 240 | 531 | 45.20% | 787 | 470 | 830 | 321 | 626 | 311 | 53.4% | 10.0% | 92.7% | 102.6 | LUCKY |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 797 |
Neutral Zone Start | 531 |
Defensive Zone Start | 896 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 1024 |
Faceoffs Lost | 1200 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 89 |
---|---|
PP Goal | 26 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 13 | 10 |
Lost | 3 | 7 |
Overtime Lost | 2 | 2 |
PP Attempt | 98 |
---|---|
PP Goal | 26 |
PK Attempt | 96 |
PK Goal Against | 14 |
Home | |
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Shots For | 32.5 |
Shots Against | 35.4 |
Goals For | 3.2 |
Goals Against | 2.6 |
Hits | 17.1 |
Shots Blocked | 11.5 |
Pim | 5.2 |
Projected Total Cap Hit | 71,096,246$ |
Projected Cap Space | 18,903,754$ |
Retains And Buyout Cap Hit | 2,500,000$ |
Salary Cap To Date | 32,080,076$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C | 18 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Alexander Khovanov ![]() | C | 23 | 2,900,000$ | 2,900,000$ | |||||||
Allan McShane ![]() | C | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Austin Roest ![]() | C | 19 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Drake Batherson | C/RW | 25 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | ||||
Francesco Arcuri ![]() | LW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Giovanni Vallati ![]() | D | 23 | 925,000$ | 925,000$ | |||||||
Jaccob Slavin | D | 29 | 8,000,000$ | 8,000,000$ | |||||||
James Hardie ![]() | LW | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Jaxson Stauber ![]() | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Justin Faulk | D | 31 | 4,250,000$ | 4,250,000$ | |||||||
Logan Thompson | C/LW | 26 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | |||||
Mats Zuccarello | LW/RW | 36 | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | |||||
Nathan MacKinnon ![]() | C/RW | 28 | 6,500,000$ | 6,500,000$ | |||||||
Nikita Zadorov | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||||||
Patrik Nemeth ![]() | D | 31 | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | |||||
Rem Pitlick ![]() | LW | 26 | 1,950,000$ | 1,950,000$ | |||||||
Troy Stecher ![]() | D | 29 | 685,000$ | 685,000$ | |||||||
Troy Terry | C/RW | 26 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | |||||
Tyler Seguin | C/RW | 31 | 9,500,000$ | 9,500,000$ |
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Priority | Type | Description |
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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 |
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Arno Tiefensee | 8 | 74 | |||
Ayrton Martino | 4 | 33 | |||
Brian Zanetti | 5 | 65 | |||
Jared Wright | 7 | 89 | |||
Jonathan Myrenberg | 5 | 81 | |||
Mats Lindgren | 6 | 58 | |||
Noah Ostlund | 6 | 10 | |||
Oskar Pettersson | 6 | 50 | |||
Sam Rinzel | 7 | 17 | |||
Sawyer Mynio | 8 | 50 | |||
Tanner Ludtke | 8 | 44 | |||
Tristan Lennox | 4 | 63 | |||
Ty Young | 6 | 82 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-26 | @ | Ducks2,Red Wings3 (OT) | RECAP | |||||||||||
2023-09-27 | @ | Red Wings2,Maple Leafs1 | RECAP | |||||||||||
2023-09-29 | @ | Red Wings4,Senators2 | RECAP | |||||||||||
2023-10-02 | @ | Senators1,Red Wings3 | RECAP | |||||||||||
2023-10-04 | @ | Maple Leafs1,Red Wings6 | RECAP | |||||||||||
2023-10-05 | @ | Red Wings2,Bruins4 | RECAP | |||||||||||
2023-10-07 | @ | Bruins3,Red Wings4 (SO) | RECAP | |||||||||||
2023-10-10 | @ | Red Wings4,Maple Leafs2 | RECAP | |||||||||||
2023-10-11 | @ | Red Wings1,Senators3 | RECAP | |||||||||||
2023-10-13 | @ | Sabres2,Red Wings3 | RECAP | |||||||||||
2023-10-15 | @ | Red Wings5,Canadiens3 | RECAP | |||||||||||
2023-10-17 | @ | Red Wings3,Sabres1 | RECAP | |||||||||||
2023-10-19 | @ | Canadiens2,Red Wings4 | RECAP | |||||||||||
2023-10-21 | @ | Red Wings3,Flyers5 | RECAP | |||||||||||
2023-10-23 | @ | Sabres2,Red Wings1 | RECAP | |||||||||||
2023-10-25 | @ | Red Wings2,Senators3 | RECAP | |||||||||||
2023-10-27 | @ | Panthers4,Red Wings3 (SO) | RECAP | |||||||||||
2023-10-29 | @ | Red Wings3,Panthers2 | RECAP | |||||||||||
2023-10-30 | @ | Red Wings2,Blue Jackets4 | RECAP | |||||||||||
2023-11-01 | @ | Golden Knights1,Red Wings5 | RECAP | |||||||||||
2023-11-02 | @ | Flames3,Red Wings4 (OT) | RECAP | |||||||||||
2023-11-04 | @ | Jets5,Red Wings3 | RECAP | |||||||||||
2023-11-06 | @ | Red Wings2,Stars3 (OT) | RECAP | |||||||||||
2023-11-08 | @ | Red Wings2,Blues6 | RECAP | |||||||||||
2023-11-10 | @ | Panthers3,Red Wings2 (OT) | RECAP | |||||||||||
2023-11-12 | @ | Red Wings6,Canucks2 | RECAP | |||||||||||
2023-11-14 | @ | Avalanche0,Red Wings1 | RECAP | |||||||||||
2023-11-16 | @ | Red Wings3,Bruins1 | RECAP | |||||||||||
2023-11-18 | @ | Ducks6,Red Wings7 (SO) | RECAP | |||||||||||
2023-11-20 | @ | Bruins1,Red Wings2 | RECAP | |||||||||||
2023-11-22 | @ | Red Wings2,Kings3 (OT) | RECAP | |||||||||||
2023-11-23 | @ | Red Wings7,Coyotes1 | RECAP | |||||||||||
2023-11-25 | @ | Kings1,Red Wings2 | RECAP | |||||||||||
2023-11-27 | @ | Blues6,Red Wings5 | RECAP | |||||||||||
2023-11-29 | @ | Red Wings1,Senators2 | RECAP | |||||||||||
2023-11-30 | @ | Wild3,Red Wings4 (OT) | RECAP | |||||||||||
2023-12-02 | @ | Red Wings4,Golden Knights2 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
68,410,000$ | 2,500,000$ | 71,096,246$ | 18,903,754$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 87802 | 69000 | 28696 | 57381 | 17442 |
Attendance PCT | 81.30% | 76.67% | 79.71% | 79.70% | 96.90% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
23 | 14462 - 80.35% | 4,208,470$ | 75,752,455$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,410,000$ | 68,410,000$ | 0$ | 2,500,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
33,245,611$ | 462,230$ | 32,080,076$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
96,794,804$ | 79 | 479,122$ | 37,850,638$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,637,269$ | 71,096,246$ | 882,954,257$ | 948,683,636$ |
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 |
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