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Rochester Americans 0-1-0, 0pts · 9th in EASTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 0 | LW/RW | 99.00 | 51 | 46 | 94 | 89 | 73 | 77 | 95 | 82 | 70 | 78 | 76 | 68 | 69 | 51 | 51 | 90 | 50 | 71 | 21 | 2,999,999$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 44 | 36 | 93 | 87 | 59 | 79 | 95 | 71 | 82 | 76 | 53 | 64 | 56 | 58 | 58 | 86 | 50 | 66 | 21 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 70 | 63 | 81 | 80 | 77 | 95 | 67 | 66 | 61 | 60 | 69 | 64 | 59 | 59 | 85 | 50 | 66 | 21 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 45 | 37 | 93 | 87 | 60 | 75 | 76 | 67 | 57 | 56 | 67 | 65 | 71 | 60 | 60 | 84 | 50 | 64 | 21 | 1,200,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 73 | 65 | 88 | 74 | 63 | 66 | 63 | 64 | 50 | 66 | 60 | 69 | 55 | 71 | 71 | 72 | 50 | 64 | 25 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 54 | 96 | 93 | 79 | 59 | 77 | 58 | 74 | 53 | 53 | 64 | 65 | 83 | 83 | 72 | 50 | 64 | 25 | 700,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 45 | 38 | 99 | 96 | 62 | 70 | 95 | 61 | 60 | 58 | 58 | 60 | 61 | 74 | 70 | 72 | 50 | 64 | 24 | 700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 62 | 88 | 86 | 74 | 58 | 64 | 60 | 51 | 53 | 64 | 65 | 63 | 72 | 71 | 67 | 50 | 63 | 25 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 64 | 86 | 73 | 64 | 73 | 75 | 65 | 90 | 57 | 69 | 69 | 66 | 44 | 44 | 90 | 50 | 63 | 20 | 886,667$/4yrs | |||
![]() | 71 | C/LW/RW | 100.00 | 50 | 44 | 97 | 93 | 70 | 68 | 95 | 61 | 61 | 54 | 59 | 61 | 66 | 63 | 61 | 75 | 50 | 63 | 23 | 875,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 53 | 51 | 89 | 82 | 77 | 72 | 95 | 58 | 57 | 53 | 55 | 62 | 59 | 60 | 60 | 84 | 50 | 62 | 21 | 700,000$/6yrs | |||
![]() | 47 | C | 100.00 | 50 | 43 | 94 | 93 | 65 | 63 | 84 | 59 | 61 | 58 | 54 | 60 | 59 | 68 | 66 | 74 | 50 | 62 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 47 | 89 | 79 | 82 | 78 | 78 | 76 | 25 | 61 | 64 | 73 | 25 | 75 | 73 | 64 | 50 | 70 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 51 | 77 | 82 | 68 | 76 | 95 | 61 | 25 | 64 | 47 | 67 | 49 | 59 | 59 | 85 | 50 | 65 | 21 | 925,000$/1yrs | |||
![]() | 50 | D | 100.00 | 64 | 60 | 68 | 86 | 77 | 68 | 90 | 51 | 25 | 50 | 43 | 68 | 45 | 66 | 66 | 72 | 50 | 65 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 54 | 83 | 74 | 76 | 73 | 95 | 56 | 25 | 48 | 54 | 71 | 57 | 58 | 58 | 80 | 50 | 64 | 22 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 52 | 47 | 90 | 79 | 74 | 73 | 95 | 56 | 25 | 60 | 41 | 68 | 42 | 58 | 58 | 86 | 50 | 64 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 49 | 87 | 79 | 74 | 73 | 95 | 57 | 25 | 68 | 35 | 65 | 36 | 54 | 54 | 86 | 50 | 63 | 21 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 74 | RW | 100.00 | 47 | 40 | 91 | 91 | 66 | 62 | 71 | 61 | 57 | 53 | 57 | 61 | 60 | 75 | 75 | 62 | 50 | 62 | 25 | 925,000$/1yrs | |||
![]() | 11 | RW | 100.00 | 87 | 87 | 58 | 78 | 71 | 66 | 78 | 59 | 80 | 58 | 58 | 63 | 58 | 63 | 61 | 83 | 50 | 62 | 22 | 700,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 39 | 88 | 79 | 86 | 67 | 85 | 53 | 48 | 43 | 53 | 58 | 56 | 52 | 52 | 88 | 50 | 58 | 20 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 48 | 83 | 81 | 68 | 70 | 95 | 54 | 25 | 56 | 43 | 64 | 42 | 60 | 60 | 84 | 50 | 63 | 22 | 875,000$/6yrs | |||
![]() | 0 | D | 100.00 | 56 | 52 | 75 | 78 | 75 | 70 | 95 | 52 | 25 | 53 | 41 | 69 | 43 | 56 | 56 | 88 | 50 | 63 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 44 | 35 | 89 | 79 | 57 | 66 | 80 | 58 | 25 | 66 | 39 | 63 | 41 | 54 | 54 | 90 | 50 | 60 | 21 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 43 | 97 | 66 | 74 | 62 | 68 | 62 | 25 | 49 | 50 | 56 | 25 | 63 | 63 | 58 | 50 | 60 | 27 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 70 | 84 | 63 | 70 | 69 | 75 | 54 | 25 | 39 | 41 | 69 | 39 | 44 | 44 | 75 | 50 | 59 | 25 | 775,000$/2yrs |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 71 | 61 | 59 | 83 | 73 | 70 | 99 | 76 | 81 | 71 | 90 | 66 | 64 | 73 | 50 | 74 | 24 | 2,999,999$/1yrs |
![]() | 0 | 100.00 | 57 | 70 | 67 | 68 | 62 | 73 | 75 | 80 | 74 | 61 | 65 | 65 | 65 | 75 | 50 | 68 | 24 | 1,200,000$/6yrs |
Scratches | ||||||||||||||||||||
![]() | 75 | 100.00 | 59 | 40 | 50 | 71 | 60 | 60 | 53 | 60 | 62 | 60 | 30 | 53 | 53 | 66 | 50 | 57 | 25 | 800,000$/3yrs |
![]() | 31 | 100.00 | 46 | 40 | 50 | 68 | 55 | 44 | 45 | 49 | 45 | 45 | 45 | 52 | 52 | 67 | 50 | 49 | 25 | 700,000$/5yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jack Beck | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 1 | 17.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
2 | Martin Kaut | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 0 | 13.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
3 | Joshua Roy | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 6 | 2 | 3 | 0.00% | 0 | 19.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
4 | Martin Rysavy | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 19.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
5 | Connor Kurth | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Jiri Kulich | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 2 | 0.00% | 0 | 16.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 70.00% | 20 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Ty Voit | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 2 | 0.00% | 0 | 18.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 82.61% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Tristan Luneau | D | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 0 | 0 | 2 | 0.00% | 0 | 17.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Tyson Hinds | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 22.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Christian Kyrou | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 17.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Lukas Rousek | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 16.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Parker Bell | LW/RW | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 8 | 2 | 3 | 0.00% | 0 | 18.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Scott Reedy | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 16.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Cole Fonstad | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 13.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Samuel Houde | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Mikail Abramov | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Adam Ginning | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 17.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Ronald Attard | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 1 | 23.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 0 | 0 | 0 | -10 | 6 | 0 | 11 | 28 | 9 | 19 | 0.00% | 4 | 16.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 62.03% | 79 | 0 | 0 | 0 | 0 | 0.00 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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1 | Akira Schmid | 1 | 1 | 0 | 1 | 0 | 0.933 | 2.00 | 0.6 | 60 | 0 | 0 | 2 | 30 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 0 | 0.933 | 2.00 | 60 | 0 | 0 | 2 | 30 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Adam Ginning | D | 25 | $800,000 | |||||||
Akira Schmid | G | 24 | $925,000 | |||||||
Arvid Soderblom | G | 25 | $800,000 | $800,000 | $800,000 | |||||
Cameron Crotty | D | 25 | $775,000 | $775,000 | ||||||
Carson Lambos | D | 22 | $925,000 | |||||||
Christian Kyrou | D | 21 | $925,000 | |||||||
Cole Fonstad | C/LW | 24 | $700,000 | |||||||
Connor Kurth | RW | 21 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | ||
David Spacek | D | 22 | $875,000 | $875,000 | $875,000 | $875,000 | $875,000 | $875,000 | ||
Dylan Coghlan | D | 27 | $825,000 | $825,000 | ||||||
Jack Beck | LW/RW | 21 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | ||
Jacob Perreault | RW | 22 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | ||
Jiri Kulich | C | 20 | $886,667 | $886,667 | $886,667 | $886,667 | ||||
Joshua Roy | LW/RW | 21 | $2,999,999 | $2,999,999 | $2,999,999 | $2,999,999 | $2,999,999 | |||
Lukas Rousek | RW | 25 | $925,000 | |||||||
Martin Kaut | RW | 25 | $700,000 | |||||||
Martin Rysavy | D | 22 | $925,000 | $925,000 | $925,000 | |||||
Mikail Abramov | C/LW/RW | 23 | $875,000 | |||||||
Parker Bell | LW/RW | 21 | $925,000 | |||||||
Roman Kantserov | LW/RW | 20 | $925,000 | |||||||
Ronald Attard | D | 26 | $1,000,000 | $1,000,000 | ||||||
Samuel Ersson | G | 25 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | |||
Samuel Houde | C | 25 | $800,000 | |||||||
Samuel Walker | RW | 25 | $925,000 | |||||||
Scott Reedy | C | 25 | $700,000 | $700,000 | ||||||
Seamus Casey | D | 21 | $925,000 | $925,000 | $925,000 | |||||
Tristan Luneau | D | 21 | $925,000 | |||||||
Ty Voit | C/LW/RW | 21 | $925,000 | |||||||
Tyson Hinds | D | 22 | $925,000 | |||||||
Vadim Zherenko | G | 24 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 9 | 12 | 7 | 0 | 30 | 4 | 6 | 11 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 19 | 35 | 54.29% | 22 | 30 | 73.33% | 8 | 14 | 57.14% | 22 | 14 | 24 | 8 | 13 | 5 | 0.0% | 0.0% | 93.3% | 93.3 | DULL | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 9 | 12 | 7 | 0 | 30 | 4 | 6 | 11 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 19 | 35 | 54.29% | 22 | 30 | 73.33% | 8 | 14 | 57.14% | 22 | 14 | 24 | 8 | 13 | 5 | 0.0% | 0.0% | 93.3% | 93.3 | DULL | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 9 | 12 | 7 | 0 | 30 | 4 | 6 | 11 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 19 | 35 | 54.29% | 22 | 30 | 73.33% | 8 | 14 | 57.14% | 22 | 14 | 24 | 8 | 13 | 5 | 0.0% | 0.0% | 93.3% | 93.3 | DULL |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 35 |
Neutral Zone Start | 14 |
Defensive Zone Start | 30 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 49 |
Faceoffs Lost | 30 |
Team Average Shots after | League Average Shots after | |
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1st Period | 9.0 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
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Shots For | 28.0 |
Shots Against | 30.0 |
Goals For | 0.0 |
Goals Against | 2.0 |
Hits | 11.0 |
Shots Blocked | 4.0 |
Pim | 6.0 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,833,667 | $0 | $0 | $75,000,000 |
Arena | About us | |
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![]() | Name | KeyBank Center |
City | Rochester | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 4940 | 2227 | |||
Attendance PCT | 82.33% | 74.23% | 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 |
40 | 7167 - 79.63% | $180,269 | $180,269 | 9000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,833,667 | $3,041,167 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$15,656 | $0 | $15,656 | $0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$0 | 188 | $15,656 | $2,818,080 |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$2,818,080 | $0 | $0 | $0 |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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