Barracuda | |
GP: 28 | W: 5 | L: 23 | OTL: 0 | P: 10 GF: 117 | GA: 263 | PP%: 34.57% | PK%: 40.43% DG: Dominic Joyal | Morale : 50 | Moyenne d’équipe : 64 Prochains matchs #227 vs Knights |
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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 |
# | Nom du joueur | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jake Evans | 0 | X | X | 100.00 | 71 | 50 | 81 | 77 | 76 | 86 | 82 | 75 | 78 | 77 | 66 | 77 | 73 | 68 | 58 | 0 | 47 | 73 | 0 | 28 | 2 | 1,700,000$ | |||
2 | Curtis Lazar | 0 | X | X | 100.00 | 84 | 59 | 75 | 75 | 80 | 84 | 88 | 74 | 74 | 71 | 66 | 75 | 71 | 84 | 74 | 0 | 47 | 73 | 0 | 29 | 2 | 1,200,000$ | |||
3 | Nils Hoglander | 0 | X | X | 100.00 | 74 | 42 | 74 | 85 | 77 | 83 | 78 | 78 | 40 | 70 | 74 | 69 | 79 | 63 | 54 | 0 | 50 | 72 | 0 | 23 | 1 | 1,125,000$ | |||
4 | Cole Perfetti | 0 | X | X | 100.00 | 67 | 46 | 89 | 83 | 78 | 84 | 76 | 80 | 53 | 75 | 73 | 70 | 79 | 59 | 50 | 0 | 50 | 72 | 0 | 22 | 2 | 1,627,500$ | |||
5 | Connor Dewar | 0 | X | X | 100.00 | 80 | 61 | 77 | 83 | 75 | 81 | 78 | 74 | 70 | 69 | 69 | 75 | 76 | 59 | 50 | 0 | 47 | 71 | 0 | 25 | 2 | 800,000$ | |||
6 | Mikey Eyssimont | 0 | X | X | 100.00 | 79 | 75 | 60 | 75 | 76 | 81 | 76 | 77 | 49 | 72 | 68 | 71 | 73 | 59 | 50 | 0 | 50 | 70 | 0 | 28 | 1 | 800,000$ | |||
7 | Matthew Knies (R) | 0 | X | X | 100.00 | 73 | 49 | 72 | 73 | 86 | 82 | 71 | 76 | 40 | 71 | 69 | 68 | 72 | 55 | 50 | 0 | 50 | 69 | 0 | 21 | 2 | 925,000$ | |||
8 | Jesse Ylonen | 0 | X | X | 100.00 | 64 | 44 | 86 | 74 | 79 | 79 | 76 | 69 | 45 | 66 | 64 | 66 | 69 | 62 | 54 | 0 | 50 | 67 | 0 | 24 | 1 | 925,000$ | |||
9 | Bobby Brink (R) | 0 | X | 100.00 | 62 | 43 | 83 | 81 | 67 | 76 | 70 | 70 | 44 | 68 | 65 | 62 | 72 | 56 | 50 | 0 | 50 | 66 | 0 | 23 | 2 | 1,137,500$ | ||||
10 | Brett Seney | 0 | X | X | 100.00 | 53 | 48 | 62 | 72 | 53 | 69 | 68 | 66 | 53 | 66 | 62 | 57 | 66 | 57 | 50 | 0 | 50 | 62 | 0 | 28 | 2 | 775,000$ | |||
11 | Aatu Raty | 0 | X | 100.00 | 63 | 41 | 72 | 68 | 64 | 62 | 60 | 64 | 59 | 63 | 58 | 61 | 63 | 50 | 50 | 0 | 50 | 61 | 0 | 21 | 1 | 902,500$ | ||||
12 | Tim Gettinger (R) | 0 | X | X | 100.00 | 67 | 47 | 70 | 60 | 73 | 67 | 65 | 62 | 43 | 59 | 56 | 61 | 59 | 54 | 50 | 0 | 50 | 60 | 0 | 26 | 2 | 750,000$ | |||
13 | Colton Dach (R) | 0 | X | 100.00 | 63 | 42 | 64 | 63 | 64 | 62 | 60 | 62 | 42 | 60 | 58 | 61 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 880,000$ | ||||
14 | Dylan Samberg | 0 | X | 100.00 | 73 | 56 | 73 | 74 | 86 | 82 | 77 | 72 | 40 | 71 | 61 | 85 | 69 | 59 | 50 | 0 | 50 | 73 | 0 | 25 | 1 | 1,175,000$ | ||||
15 | Alex Vlasic | 0 | X | 100.00 | 69 | 61 | 72 | 75 | 84 | 80 | 73 | 70 | 40 | 69 | 60 | 82 | 68 | 56 | 50 | 0 | 50 | 71 | 0 | 23 | 2 | 1,491,667$ | ||||
16 | Gustav Lindstrom | 0 | X | 100.00 | 68 | 46 | 77 | 75 | 80 | 84 | 78 | 70 | 40 | 68 | 64 | 71 | 69 | 68 | 58 | 0 | 50 | 70 | 0 | 25 | 2 | 950,000$ | ||||
17 | Logan Stanley | 0 | X | 100.00 | 68 | 67 | 64 | 69 | 94 | 83 | 71 | 68 | 40 | 62 | 62 | 72 | 67 | 63 | 54 | 0 | 50 | 69 | 0 | 26 | 1 | 900,000$ | ||||
18 | Jayden Struble (R) | 0 | X | 100.00 | 73 | 50 | 65 | 71 | 76 | 74 | 67 | 66 | 40 | 62 | 60 | 69 | 66 | 52 | 50 | 0 | 50 | 66 | 0 | 23 | 2 | 925,000$ | ||||
19 | Logan Mailloux (R) | 0 | X | 100.00 | 64 | 49 | 58 | 65 | 68 | 63 | 62 | 66 | 40 | 63 | 63 | 66 | 64 | 50 | 50 | 0 | 50 | 62 | 0 | 21 | 2 | 902,500$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Isak Rosen (R) | 0 | X | 100.00 | 58 | 41 | 73 | 71 | 58 | 60 | 60 | 65 | 44 | 63 | 60 | 58 | 65 | 50 | 50 | 0 | 50 | 60 | 0 | 21 | 2 | 1,419,167$ | ||||
2 | Gabriel Fortier | 0 | X | X | 100.00 | 58 | 42 | 72 | 68 | 60 | 65 | 64 | 62 | 59 | 59 | 57 | 56 | 62 | 52 | 50 | 0 | 50 | 59 | 0 | 24 | 2 | 775,000$ | |||
3 | Emil Heineman (R) | 0 | X | X | 100.00 | 62 | 41 | 69 | 66 | 64 | 61 | 59 | 61 | 42 | 57 | 57 | 59 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 22 | 2 | 925,000$ | |||
4 | Joakim Kemell (R) | 0 | X | 100.00 | 61 | 41 | 70 | 67 | 63 | 57 | 55 | 62 | 42 | 60 | 57 | 57 | 62 | 50 | 50 | 0 | 50 | 59 | 0 | 20 | 2 | 1,418,333$ | ||||
5 | William Stromgren (R) | 0 | X | 100.00 | 62 | 41 | 69 | 63 | 64 | 62 | 61 | 61 | 42 | 62 | 56 | 59 | 60 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 925,000$ | ||||
6 | Xavier Bourgault (R) | 0 | X | 100.00 | 61 | 41 | 71 | 66 | 62 | 60 | 60 | 61 | 42 | 59 | 56 | 59 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 1,167,500$ | ||||
7 | Zack Ostapchuk (R) | 0 | X | 100.00 | 64 | 42 | 63 | 63 | 66 | 62 | 61 | 62 | 52 | 58 | 59 | 60 | 62 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 880,000$ | ||||
8 | Riley Kidney (R) | 0 | X | 100.00 | 58 | 42 | 64 | 63 | 62 | 62 | 61 | 61 | 51 | 59 | 56 | 55 | 60 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 2 | 902,500$ | ||||
9 | Jan Mysak (R) | 0 | X | X | 100.00 | 56 | 41 | 71 | 64 | 61 | 62 | 60 | 60 | 54 | 53 | 56 | 51 | 60 | 50 | 50 | 0 | 50 | 57 | 0 | 22 | 2 | 902,500$ | |||
10 | Chaz Lucius (R) | 0 | X | 100.00 | 60 | 40 | 69 | 63 | 64 | 56 | 54 | 57 | 53 | 55 | 52 | 54 | 57 | 50 | 50 | 0 | 50 | 56 | 0 | 21 | 2 | 1,294,167$ | ||||
11 | Danny Zhilkin | 0 | X | 100.00 | 59 | 41 | 68 | 61 | 63 | 59 | 57 | 59 | 46 | 55 | 55 | 54 | 58 | 50 | 50 | 0 | 50 | 56 | 0 | 20 | 2 | 885,000$ | ||||
12 | Ilya Nikolaev (R) | 0 | X | 100.00 | 61 | 40 | 71 | 63 | 64 | 61 | 58 | 55 | 49 | 52 | 52 | 55 | 57 | 51 | 50 | 0 | 50 | 56 | 0 | 23 | 2 | 836,667$ | ||||
13 | Cale Fleury | 0 | X | 100.00 | 68 | 43 | 72 | 69 | 71 | 72 | 66 | 66 | 40 | 63 | 58 | 69 | 65 | 56 | 52 | 0 | 50 | 65 | 0 | 25 | 2 | 800,000$ | ||||
14 | Ryan Johnson (R) | 0 | X | 100.00 | 58 | 43 | 75 | 70 | 75 | 75 | 63 | 67 | 40 | 65 | 60 | 67 | 66 | 51 | 50 | 0 | 50 | 65 | 0 | 23 | 2 | 925,000$ | ||||
15 | Simon Edvinsson | 0 | X | 100.00 | 67 | 43 | 63 | 66 | 70 | 60 | 59 | 63 | 40 | 62 | 58 | 68 | 63 | 50 | 50 | 0 | 50 | 62 | 0 | 21 | 1 | 1,775,000$ | ||||
16 | Jared McIsaac (R) | 0 | X | 100.00 | 59 | 41 | 71 | 66 | 64 | 63 | 61 | 60 | 40 | 55 | 53 | 61 | 59 | 52 | 50 | 0 | 50 | 59 | 0 | 24 | 2 | 787,500$ | ||||
17 | David Spacek (R) | 0 | X | 100.00 | 58 | 41 | 68 | 63 | 63 | 62 | 61 | 62 | 40 | 56 | 56 | 56 | 60 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 2 | 875,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 65 | 47 | 71 | 70 | 70 | 70 | 67 | 66 | 47 | 63 | 60 | 64 | 65 | 55 | 52 | 0 | 50 | 64 |
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 |
# | Nom du gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Scott Wedgewood | 0 | 100.00 | 82 | 85 | 86 | 81 | 86 | 83 | 77 | 81 | 81 | 85 | 79 | 82 | 75 | 0 | 47 | 76 | 0 | 32 | 1 | 1,200,000$ | |
2 | Dan Vladar | 0 | 100.00 | 81 | 79 | 78 | 88 | 80 | 77 | 74 | 75 | 77 | 80 | 76 | 63 | 56 | 0 | 50 | 72 | 0 | 27 | 3 | 2,200,000$ | |
Rayé | ||||||||||||||||||||||||
1 | Mads Sogaard | 0 | 100.00 | 73 | 66 | 69 | 78 | 73 | 73 | 74 | 73 | 73 | 72 | 65 | 53 | 50 | 0 | 50 | 66 | 0 | 23 | 2 | 925,000$ | |
2 | Olivier Rodrigue (R) | 0 | 100.00 | 73 | 63 | 65 | 59 | 67 | 68 | 72 | 69 | 70 | 68 | 59 | 51 | 50 | 0 | 50 | 62 | 0 | 24 | 2 | 910,833$ | |
MOYENNE D’ÉQUIPE | 100.00 | 77 | 73 | 75 | 77 | 77 | 75 | 74 | 75 | 75 | 76 | 70 | 62 | 58 | 0 | 49 | 69 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cole Perfetti | Barracuda (ICE) | C/LW | 26 | 32 | 28 | 60 | 26 | 19 | 5 | 18 | 26 | 125 | 39 | 62 | 25.60% | 12 | 452 | 17.41 | 11 | 12 | 23 | 21 | 78 | 0 | 0 | 0 | 0 | 24 | 4 | 0 | 65.00% | 300 | 21 | 14 | 0 | 4 | 2.65 | 0 | 0 | 1 | 0 | 0 | 5 | 1 | 2 |
2 | Matthew Knies | Barracuda (ICE) | LW/RW | 25 | 10 | 10 | 20 | 18 | 6 | 0 | 43 | 16 | 59 | 13 | 36 | 16.95% | 3 | 380 | 15.23 | 2 | 1 | 3 | 3 | 34 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 58.33% | 24 | 8 | 10 | 0 | 0 | 1.05 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
3 | Logan Mailloux | Barracuda (ICE) | D | 25 | 0 | 5 | 5 | 22 | 33 | 5 | 35 | 14 | 19 | 7 | 7 | 0% | 15 | 481 | 19.26 | 0 | 2 | 2 | 3 | 77 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0% | 0 | 2 | 11 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
4 | Isak Rosen | Barracuda (ICE) | RW | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 1 | 3 | 3 | 1 | 0% | 0 | 43 | 14.38 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 79 | 42 | 43 | 85 | 66 | 60 | 10 | 100 | 57 | 206 | 62 | 106 | 20.39% | 30 | 1358 | 17.19 | 13 | 15 | 28 | 27 | 192 | 0 | 0 | 0 | 0 | 48 | 5 | 0 | 64.55% | 330 | 32 | 35 | 0 | 4 | 1.25 | 0 | 0 | 1 | 0 | 1 | 6 | 1 | 3 |
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 |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | Barracuda (ICE) | C | 21 | 2002-11-14 | FIN | No | 190 Lbs | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 902,500$ | 621,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Alex Vlasic | Barracuda (ICE) | D | 23 | 2001-06-05 | USA | No | 217 Lbs | 198 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 1,491,667$ | 1,027,593$ | 0$ | 0$ | No | 1,491,667$ | - | - | - | - | - | - | - | - | 1,491,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Bobby Brink | Barracuda (ICE) | RW | 23 | 2001-07-08 | USA | Yes | 169 Lbs | 173 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 1,137,500$ | 783,611$ | 0$ | 0$ | No | 1,137,500$ | - | - | - | - | - | - | - | - | 1,137,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Brett Seney | Barracuda (ICE) | C/LW | 28 | 1996-02-27 | CAN | No | 167 Lbs | 175 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 775,000$ | 533,889$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Cale Fleury | Barracuda (ICE) | D | 25 | 1998-11-18 | CAN | No | 205 Lbs | 185 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 800,000$ | 551,111$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Chaz Lucius | Barracuda (ICE) | C | 21 | 2003-05-02 | USA | Yes | 185 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 1,294,167$ | 891,537$ | 0$ | 0$ | No | 1,294,167$ | - | - | - | - | - | - | - | - | 1,294,167$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Cole Perfetti | Barracuda (ICE) | C/LW | 22 | 2002-01-01 | CAN | No | 185 Lbs | 180 CM | No | No | Trade | 2024-11-30 | No | No | 2 | 2024-05-25 | False | False | Pro & Farm | 1,627,500$ | 1,121,167$ | 0$ | 0$ | No | 1,627,500$ | - | - | - | - | - | - | - | - | 1,627,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Colton Dach | Barracuda (ICE) | C | 21 | 2003-01-04 | CAN | Yes | 193 Lbs | 193 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 880,000$ | 606,222$ | 0$ | 0$ | No | 880,000$ | - | - | - | - | - | - | - | - | 880,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Connor Dewar | Barracuda (ICE) | C/LW | 25 | 1999-06-26 | CAN | No | 183 Lbs | 178 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 800,000$ | 551,111$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Curtis Lazar | Barracuda (ICE) | C/RW | 29 | 1995-02-02 | CAN | No | 203 Lbs | 183 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 1,200,000$ | 826,667$ | 0$ | 0$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Dan Vladar | Barracuda (ICE) | G | 27 | 1997-08-20 | CZE | No | 209 Lbs | 196 CM | No | No | Free Agent | No | No | 3 | 2024-06-17 | False | False | Pro & Farm | 2,200,000$ | 1,515,556$ | 0$ | 0$ | No | 2,200,000$ | 2,200,000$ | - | - | - | - | - | - | - | 2,200,000$ | 2,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Danny Zhilkin | Barracuda (ICE) | C | 20 | 2003-12-19 | RUS | No | 196 Lbs | 185 CM | No | No | Trade | 2024-07-20 | No | No | 2 | 2024-07-20 | False | False | Pro & Farm | 885,000$ | 609,667$ | 0$ | 0$ | No | 885,000$ | - | - | - | - | - | - | - | - | 885,000$ | 831,667$ | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
David Spacek | Barracuda (ICE) | D | 21 | 2003-02-18 | USA | Yes | 190 Lbs | 183 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 875,000$ | 602,778$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Dylan Samberg | Barracuda (ICE) | D | 25 | 1999-01-24 | USA | No | 216 Lbs | 193 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,175,000$ | 809,444$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Emil Heineman | Barracuda (ICE) | LW/RW | 22 | 2001-11-16 | SWE | Yes | 185 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Gabriel Fortier | Barracuda (ICE) | C/LW | 24 | 2000-02-06 | CAN | No | 181 Lbs | 180 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 775,000$ | 533,889$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Gustav Lindstrom | Barracuda (ICE) | D | 25 | 1998-10-20 | SWE | No | 194 Lbs | 188 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 950,000$ | 654,444$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Ilya Nikolaev | Barracuda (ICE) | C | 23 | 2001-06-26 | RUS | Yes | 195 Lbs | 183 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 836,667$ | 576,371$ | 0$ | 0$ | No | 836,667$ | - | - | - | - | - | - | - | - | 836,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Isak Rosen | Barracuda (ICE) | RW | 21 | 2003-03-15 | SWE | Yes | 173 Lbs | 183 CM | No | No | Trade | 2024-11-30 | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 1,419,167$ | 977,648$ | 0$ | 0$ | No | 1,419,167$ | - | - | - | - | - | - | - | - | 1,419,167$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Jake Evans | Barracuda (ICE) | C/RW | 28 | 1996-06-02 | CAN | No | 187 Lbs | 185 CM | No | No | Free Agent | No | No | 2 | 2024-06-17 | False | False | Pro & Farm | 1,700,000$ | 1,171,111$ | 0$ | 0$ | No | 1,700,000$ | - | - | - | - | - | - | - | - | 1,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Jan Mysak | Barracuda (ICE) | C/LW | 22 | 2002-06-24 | CZE | Yes | 175 Lbs | 180 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 902,500$ | 621,722$ | 0$ | 0$ | No | 902,500$ | - | - | - | - | - | - | - | - | 902,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Jared McIsaac | Barracuda (ICE) | D | 24 | 2000-03-27 | CAN | Yes | 197 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 787,500$ | 542,500$ | 0$ | 0$ | No | 787,500$ | - | - | - | - | - | - | - | - | 787,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Jayden Struble | Barracuda (ICE) | D | 23 | 2001-09-08 | USA | Yes | 202 Lbs | 183 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Jesse Ylonen | Barracuda (ICE) | LW/RW | 24 | 1999-10-03 | USA | No | 200 Lbs | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Joakim Kemell | Barracuda (ICE) | RW | 20 | 2004-04-27 | FIN | Yes | 191 Lbs | 180 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 1,418,333$ | 977,074$ | 0$ | 0$ | No | 1,418,333$ | - | - | - | - | - | - | - | - | 1,418,333$ | 918,333$ | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Logan Mailloux | Barracuda (ICE) | D | 21 | 2003-04-15 | CAN | Yes | 220 Lbs | 191 CM | No | No | Trade | 2024-11-30 | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 902,500$ | 621,722$ | 0$ | 0$ | No | 902,500$ | - | - | - | - | - | - | - | - | 902,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Logan Stanley | Barracuda (ICE) | D | 26 | 1998-05-25 | CAN | No | 231 Lbs | 201 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 620,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Mads Sogaard | Barracuda (ICE) | G | 23 | 2000-12-13 | DEN | No | 213 Lbs | 201 CM | No | No | Trade | 2024-06-11 | No | No | 2 | 2024-05-13 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Matthew Knies | Barracuda (ICE) | LW/RW | 21 | 2002-10-17 | USA | Yes | 217 Lbs | 191 CM | No | No | Trade | 2024-11-30 | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Mikey Eyssimont | Barracuda (ICE) | C/RW | 28 | 1996-09-09 | USA | No | 201 Lbs | 183 CM | No | No | Prospect | No | No | 1 | 2024-06-14 | False | False | Pro & Farm | 800,000$ | 551,111$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Nils Hoglander | Barracuda (ICE) | LW/RW | 23 | 2000-12-20 | SWE | No | 185 Lbs | 175 CM | No | No | Trade | 2024-06-11 | No | No | 1 | False | False | Pro & Farm | 1,125,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Olivier Rodrigue | Barracuda (ICE) | G | 24 | 2000-07-06 | CAN | Yes | 175 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 910,833$ | 627,463$ | 0$ | 0$ | No | 910,833$ | - | - | - | - | - | - | - | - | 910,833$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Riley Kidney | Barracuda (ICE) | C | 21 | 2003-03-25 | CAN | Yes | 183 Lbs | 180 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 902,500$ | 621,722$ | 0$ | 0$ | No | 902,500$ | - | - | - | - | - | - | - | - | 902,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Ryan Johnson | Barracuda (ICE) | D | 23 | 2001-07-24 | USA | Yes | 195 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Scott Wedgewood | Barracuda (ICE) | G | 32 | 1992-08-13 | CAN | No | 201 Lbs | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,200,000$ | 826,667$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Simon Edvinsson | Barracuda (ICE) | D | 21 | 2003-05-02 | SWE | No | 215 Lbs | 198 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,775,000$ | 1,222,778$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Tim Gettinger | Barracuda (ICE) | LW/RW | 26 | 1998-04-14 | USA | Yes | 220 Lbs | 198 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 750,000$ | 516,667$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
William Stromgren | Barracuda (ICE) | LW | 21 | 2003-06-07 | SWE | Yes | 195 Lbs | 191 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 925,000$ | 637,222$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Xavier Bourgault | Barracuda (ICE) | RW | 21 | 2002-10-22 | CAN | Yes | 185 Lbs | 183 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 1,167,500$ | 804,278$ | 0$ | 0$ | No | 1,167,500$ | - | - | - | - | - | - | - | - | 1,167,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Zack Ostapchuk | Barracuda (ICE) | C | 21 | 2003-05-29 | CAN | Yes | 205 Lbs | 193 CM | No | No | Prospect | No | No | 2 | 2024-06-14 | False | False | Pro & Farm | 880,000$ | 606,222$ | 0$ | 0$ | No | 880,000$ | - | - | - | - | - | - | - | - | 880,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
40 | 23.48 | 196 Lbs | 185 CM | 1.83 | 1,065,521$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Barbus | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 24 | 48 | 44 | 1 | 35 | 152 | 199 | 188 | 1 | 77 | 27 | 22 | 22 | 5 | 2 | 40.00% | 11 | 4 | 63.64% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
2 | Benchwarmers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 13 | 23 | 36 | 0 | 0 | 24 | 48 | 44 | 1 | 44 | 152 | 199 | 188 | 1 | 71 | 31 | 10 | 22 | 7 | 4 | 57.14% | 5 | 5 | 0.00% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
3 | Caribou | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 13 | 23 | 36 | 0 | 0 | 24 | 48 | 44 | 1 | 36 | 152 | 199 | 188 | 1 | 25 | 4 | 16 | 28 | 7 | 4 | 57.14% | 8 | 3 | 62.50% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
4 | Casse-Tete | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 23 | -21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | -12 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 24 | 48 | 44 | 1 | 39 | 152 | 199 | 188 | 1 | 54 | 17 | 32 | 29 | 13 | 1 | 7.69% | 16 | 14 | 12.50% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
5 | Chevalier | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 19 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 11 | 19 | 30 | 0 | 0 | 24 | 48 | 44 | 1 | 41 | 152 | 199 | 188 | 1 | 50 | 4 | 24 | 32 | 2 | 1 | 50.00% | 12 | 8 | 33.33% | 1 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
6 | Diabotins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 8 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 1.000 | 13 | 21 | 34 | 0 | 0 | 24 | 48 | 44 | 1 | 28 | 152 | 199 | 188 | 1 | 49 | 8 | 8 | 25 | 5 | 3 | 60.00% | 4 | 0 | 100.00% | 1 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
7 | Hooligans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 17 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.500 | 16 | 31 | 47 | 0 | 0 | 24 | 48 | 44 | 1 | 37 | 152 | 199 | 188 | 1 | 56 | 15 | 30 | 19 | 5 | 2 | 40.00% | 16 | 8 | 50.00% | 2 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
8 | Hybrides | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 24 | 48 | 44 | 1 | 13 | 152 | 199 | 188 | 1 | 40 | 10 | 11 | 11 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
9 | Jardiniers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 23 | -19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 13 | -10 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 24 | 48 | 44 | 1 | 45 | 152 | 199 | 188 | 1 | 75 | 24 | 26 | 28 | 5 | 2 | 40.00% | 13 | 8 | 38.46% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
10 | Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 24 | 48 | 44 | 1 | 31 | 152 | 199 | 188 | 1 | 33 | 7 | 10 | 9 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
11 | Leftovers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 16 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 24 | 48 | 44 | 1 | 45 | 152 | 199 | 188 | 1 | 53 | 17 | 14 | 18 | 5 | 2 | 40.00% | 7 | 4 | 42.86% | 1 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
12 | Pirates | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 20 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 13 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 24 | 48 | 44 | 1 | 32 | 152 | 199 | 188 | 1 | 64 | 12 | 22 | 20 | 2 | 1 | 50.00% | 11 | 5 | 54.55% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
13 | Requins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 27 | -22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 14 | -13 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 24 | 48 | 44 | 1 | 35 | 152 | 199 | 188 | 1 | 71 | 18 | 38 | 27 | 4 | 0 | 0.00% | 14 | 12 | 14.29% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
14 | Vagabond | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 23 | -17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 24 | 48 | 44 | 1 | 41 | 152 | 199 | 188 | 1 | 77 | 25 | 30 | 28 | 10 | 4 | 40.00% | 10 | 6 | 40.00% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
15 | Werewolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 22 | -16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 13 | -10 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 24 | 48 | 44 | 1 | 38 | 152 | 199 | 188 | 1 | 84 | 20 | 17 | 21 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
Total | 28 | 4 | 23 | 0 | 1 | 0 | 0 | 0 | 117 | 263 | -146 | 14 | 3 | 11 | 0 | 0 | 0 | 0 | 0 | 59 | 120 | -61 | 14 | 1 | 12 | 0 | 1 | 0 | 0 | 0 | 58 | 143 | -85 | 10 | 0.179 | 117 | 214 | 331 | 0 | 0 | 24 | 48 | 44 | 1 | 540 | 152 | 199 | 188 | 1 | 879 | 239 | 310 | 339 | 81 | 28 | 34.57% | 141 | 84 | 40.43% | 5 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 | |
_Since Last GM Reset | 28 | 4 | 23 | 0 | 1 | 0 | 0 | 0 | 117 | 263 | -146 | 14 | 3 | 11 | 0 | 0 | 0 | 0 | 0 | 59 | 120 | -61 | 14 | 1 | 12 | 0 | 1 | 0 | 0 | 0 | 58 | 143 | -85 | 10 | 0.179 | 117 | 214 | 331 | 0 | 0 | 24 | 48 | 44 | 1 | 540 | 152 | 199 | 188 | 1 | 879 | 239 | 310 | 339 | 81 | 28 | 34.57% | 141 | 84 | 40.43% | 5 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 | |
_Vs Conference | 12 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 47 | 107 | -60 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 24 | 47 | -23 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 23 | 60 | -37 | 4 | 0.167 | 47 | 86 | 133 | 0 | 0 | 24 | 48 | 44 | 1 | 233 | 152 | 199 | 188 | 1 | 363 | 89 | 132 | 152 | 38 | 10 | 26.32% | 61 | 36 | 40.98% | 1 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 | |
_Vs Division | 6 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 30 | 49 | -19 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 30 | -12 | 0 | 0.000 | 30 | 54 | 84 | 0 | 0 | 24 | 48 | 44 | 1 | 110 | 152 | 199 | 188 | 1 | 206 | 45 | 46 | 66 | 16 | 5 | 31.25% | 18 | 7 | 61.11% | 1 | 100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% | 435 | 218 | 720 | 318 | 525 | 195 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
28 | 10 | L10 | 117 | 214 | 331 | 540 | 879 | 239 | 310 | 339 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
28 | 4 | 23 | 1 | 0 | 0 | 0 | 117 | 263 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 3 | 11 | 0 | 0 | 0 | 0 | 59 | 120 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 1 | 12 | 1 | 0 | 0 | 0 | 58 | 143 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 10 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
81 | 28 | 34.57% | 141 | 84 | 40.43% | 5 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
152 | 199 | 188 | 1 | 24 | 48 | 44 | 1 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
100 | 364 | 27.47% | 140 | 464 | 30.17% | 223 | 697 | 31.99% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
435 | 218 | 720 | 318 | 525 | 195 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
31 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
1,219,225$ | 4,262,084$ | 4,262,084$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
23,678$ | 1,219,225$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 124 | 23,678$ | 2,936,072$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|