Syracuse Crunch | |
GP: 7 | W: 3 | L: 4 GF: 22 | GA: 26 | PP%: 10.00% | PK%: 68.00% DG: Dyn Maurice | Morale : 6 | Moyenne d’équipe : 63 |
|
|
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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Danton Heinen | 0 | X | X | X | 100.00 | 60 | 40 | 91 | 71 | 75 | 81 | 86 | 69 | 66 | 71 | 67 | 66 | 67 | 72 | 69 | 53 | 61 | 67 | 0 | 26 | 2 | 1,250,000$ | ||
2 | Mark Jankowski | 0 | X | X | 100.00 | 56 | 43 | 91 | 72 | 89 | 73 | 86 | 65 | 82 | 67 | 64 | 77 | 62 | 74 | 68 | 76 | 46 | 67 | 2 | 27 | 2 | 1,000,000$ | |||
3 | MacKenzie Entwistle | 0 | X | X | 100.00 | 63 | 51 | 84 | 71 | 83 | 86 | 88 | 71 | 53 | 65 | 64 | 62 | 59 | 65 | 67 | 65 | 77 | 66 | 0 | 22 | 1 | 850,000$ | |||
4 | Boris Katchouk (R) | 0 | X | 100.00 | 78 | 66 | 76 | 64 | 81 | 82 | 87 | 64 | 69 | 65 | 63 | 65 | 63 | 68 | 62 | 75 | 79 | 65 | 2 | 23 | 1 | 873,000$ | ||||
5 | Otto Somppi (R) | 0 | X | X | X | 100.00 | 66 | 45 | 78 | 67 | 82 | 83 | 78 | 67 | 77 | 63 | 63 | 65 | 53 | 63 | 67 | 73 | 66 | 65 | 0 | 24 | 1 | 780,000$ | ||
6 | Matthew Peca | 0 | X | 100.00 | 76 | 39 | 88 | 65 | 66 | 80 | 80 | 63 | 74 | 65 | 62 | 60 | 59 | 76 | 69 | 55 | 72 | 64 | 0 | 29 | 2 | 900,000$ | ||||
7 | Gabriel Dumont | 0 | X | 100.00 | 81 | 44 | 87 | 63 | 69 | 74 | 72 | 62 | 77 | 62 | 63 | 60 | 63 | 81 | 72 | 50 | 74 | 63 | 0 | 31 | 1 | 595,000$ | ||||
8 | Daniel Walcott | 0 | X | 100.00 | 96 | 64 | 58 | 59 | 77 | 85 | 80 | 57 | 55 | 56 | 60 | 65 | 57 | 69 | 69 | 46 | 71 | 62 | 0 | 28 | 2 | 750,000$ | ||||
9 | Tyler Steenbergen | 0 | X | X | X | 100.00 | 60 | 42 | 88 | 63 | 71 | 84 | 89 | 61 | 57 | 61 | 61 | 59 | 60 | 66 | 64 | 60 | 73 | 62 | 0 | 24 | 1 | 833,300$ | ||
10 | Bokondji Imama (R) | 0 | X | 100.00 | 75 | 85 | 57 | 60 | 91 | 80 | 85 | 57 | 55 | 58 | 59 | 57 | 56 | 57 | 70 | 55 | 67 | 61 | 0 | 25 | 1 | 700,000$ | ||||
11 | Aidan Dudas (R) | 0 | X | 100.00 | 62 | 35 | 78 | 67 | 63 | 83 | 86 | 61 | 64 | 58 | 59 | 59 | 61 | 63 | 62 | 64 | 61 | 61 | 0 | 22 | 2 | 786,000$ | ||||
12 | Dennis Yan | 0 | X | X | 100.00 | 67 | 46 | 80 | 64 | 79 | 82 | 85 | 56 | 55 | 57 | 55 | 59 | 52 | 68 | 67 | 58 | 61 | 61 | 2 | 25 | 2 | 700,000$ | |||
13 | Ryan Lohin (R) | 0 | X | 100.00 | 63 | 35 | 78 | 62 | 73 | 71 | 76 | 58 | 72 | 59 | 60 | 58 | 60 | 71 | 63 | 64 | 48 | 60 | 0 | 25 | 1 | 800,000$ | ||||
14 | Cale Fleury | 0 | X | 100.00 | 89 | 42 | 85 | 65 | 81 | 80 | 76 | 63 | 30 | 61 | 61 | 73 | 51 | 65 | 64 | 61 | 75 | 68 | 1 | 23 | 1 | 925,000$ | ||||
15 | Jack Rathbone (R) | 0 | X | 100.00 | 61 | 35 | 89 | 69 | 72 | 87 | 76 | 66 | 30 | 70 | 63 | 74 | 60 | 62 | 61 | 76 | 73 | 67 | 0 | 23 | 1 | 925,000$ | ||||
16 | Gustav Lindstrom (R) | 0 | X | 100.00 | 62 | 42 | 84 | 70 | 80 | 81 | 77 | 66 | 30 | 67 | 60 | 75 | 50 | 65 | 64 | 74 | 38 | 67 | 2 | 23 | 4 | 850,000$ | ||||
17 | Libor Hajek | 0 | X | 100.00 | 61 | 43 | 88 | 68 | 84 | 78 | 76 | 65 | 30 | 65 | 61 | 70 | 52 | 66 | 67 | 73 | 69 | 66 | 2 | 24 | 1 | 950,000$ | ||||
18 | Ben Thomas | 0 | X | 100.00 | 57 | 46 | 91 | 64 | 75 | 80 | 80 | 63 | 30 | 62 | 59 | 70 | 55 | 70 | 67 | 55 | 67 | 65 | 0 | 26 | 1 | 675,000$ | ||||
19 | Grant Hutton | 0 | X | 100.00 | 74 | 45 | 88 | 59 | 84 | 85 | 84 | 54 | 30 | 57 | 54 | 61 | 46 | 72 | 68 | 58 | 45 | 64 | 0 | 26 | 3 | 700,000$ | ||||
20 | Dylan Blujus | 0 | X | 100.00 | 72 | 48 | 77 | 56 | 82 | 77 | 72 | 54 | 30 | 52 | 53 | 63 | 45 | 73 | 68 | 70 | 39 | 62 | 0 | 28 | 1 | 780,000$ | ||||
21 | Connor Corcoran (R) | 0 | X | 100.00 | 64 | 40 | 65 | 61 | 66 | 77 | 75 | 59 | 65 | 51 | 57 | 65 | 60 | 62 | 62 | 75 | 39 | 61 | 0 | 21 | 2 | 813,333$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Jacob Nilsson | 0 | X | X | 100.00 | 50 | 45 | 88 | 58 | 66 | 87 | 88 | 55 | 62 | 57 | 55 | 62 | 57 | 74 | 68 | 57 | 20 | 59 | 0 | 28 | 1 | 850,000$ | |||
2 | Cameron Hillis (R) | 0 | X | 100.00 | 62 | 60 | 88 | 60 | 68 | 74 | 70 | 59 | 65 | 59 | 59 | 61 | 57 | 61 | 64 | 65 | 19 | 59 | 0 | 21 | 2 | 838,333$ | ||||
3 | Jacob McGrew (R) | 0 | X | 100.00 | 66 | 55 | 61 | 60 | 66 | 75 | 80 | 59 | 50 | 60 | 59 | 59 | 56 | 62 | 61 | 75 | 19 | 59 | 0 | 26 | 2 | 773,333$ | ||||
4 | Cameron Darcy | 0 | X | 100.00 | 63 | 49 | 86 | 60 | 72 | 75 | 74 | 56 | 63 | 57 | 54 | 58 | 56 | 72 | 67 | 58 | 20 | 58 | 0 | 28 | 2 | 920,000$ | ||||
5 | Lukas Craggs | 0 | X | 100.00 | 63 | 43 | 76 | 56 | 72 | 66 | 71 | 54 | 55 | 53 | 58 | 60 | 56 | 67 | 64 | 61 | 20 | 57 | 0 | 26 | 1 | 925,000$ | ||||
6 | Cristiano DiGiacinto (R) | 0 | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 1 | 20 | 56 | 0 | 26 | 1 | 700,000$ | |||
7 | Ty Lewis | 0 | X | 100.00 | 52 | 42 | 88 | 55 | 57 | 76 | 75 | 56 | 52 | 54 | 53 | 52 | 56 | 63 | 62 | 66 | 19 | 55 | 0 | 24 | 1 | 750,000$ | ||||
8 | Matt Spencer (R) | 0 | X | 100.00 | 65 | 45 | 73 | 61 | 83 | 77 | 75 | 59 | 30 | 56 | 56 | 61 | 63 | 47 | 46 | 78 | 19 | 60 | 2 | 25 | 1 | 733,000$ | ||||
9 | Jordan Spence (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 70 | 60 | 60 | 40 | 1 | 20 | 58 | 0 | 21 | 3 | 820,000$ | ||||
10 | Simon Lundmark (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 70 | 60 | 60 | 40 | 1 | 20 | 58 | 0 | 21 | 3 | 850,833$ | ||||
11 | Ryan Zuhlsdorf (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 1 | 20 | 56 | 0 | 24 | 2 | 800,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 66 | 49 | 78 | 63 | 73 | 77 | 77 | 61 | 55 | 60 | 59 | 64 | 57 | 66 | 62 | 56 | 47 | 62 |
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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Eddie Pasquale | 100.00 | 80 | 70 | 72 | 83 | 79 | 78 | 83 | 80 | 81 | 78 | 78 | 52 | 57 | 64 | 58 | 74 | 0 | 31 | 2 | 800,000$ | |
2 | Connor Ingram (R) | 100.00 | 70 | 85 | 83 | 80 | 76 | 75 | 77 | 79 | 78 | 75 | 76 | 65 | 66 | 78 | 70 | 74 | 2 | 25 | 1 | 1,100,000$ | |
Rayé | |||||||||||||||||||||||
1 | Zane McIntyre | 100.00 | 70 | 86 | 84 | 82 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 75 | 81 | 57 | 20 | 71 | 0 | 29 | 3 | 800,000$ | |
2 | Kristian Oldham (R) | 100.00 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 40 | 1 | 20 | 62 | 0 | 24 | 2 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 71 | 77 | 76 | 78 | 72 | 72 | 74 | 73 | 73 | 72 | 72 | 64 | 61 | 50 | 42 | 70 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Blashill | 80 | 79 | 83 | 85 | 71 | 66 | 79 | USA | 47 | 1 | 2,300,000$ |
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 | Boris Katchouk | Syracuse Crunch (TAM) | LW | 7 | 5 | 3 | 8 | 1 | 10 | 0 | 19 | 7 | 28 | 6 | 12 | 17.86% | 8 | 136 | 19.54 | 0 | 1 | 1 | 0 | 15 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 16.67% | 6 | 9 | 5 | 0 | 0 | 1.17 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
2 | Otto Somppi | Syracuse Crunch (TAM) | C/LW/RW | 7 | 2 | 6 | 8 | 1 | 8 | 0 | 14 | 15 | 39 | 3 | 20 | 5.13% | 3 | 148 | 21.19 | 1 | 0 | 1 | 5 | 15 | 0 | 1 | 1 | 1 | 19 | 1 | 0 | 51.54% | 130 | 2 | 1 | 0 | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | MacKenzie Entwistle | Syracuse Crunch (TAM) | LW/RW | 7 | 1 | 7 | 8 | -1 | 8 | 0 | 12 | 6 | 19 | 7 | 13 | 5.26% | 3 | 127 | 18.22 | 0 | 2 | 2 | 3 | 20 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 55.56% | 9 | 7 | 2 | 0 | 0 | 1.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4 | Danton Heinen | Syracuse Crunch (TAM) | C/LW/RW | 7 | 3 | 3 | 6 | -1 | 2 | 0 | 7 | 6 | 25 | 11 | 11 | 12.00% | 3 | 128 | 18.36 | 0 | 0 | 0 | 3 | 19 | 0 | 0 | 0 | 0 | 8 | 1 | 1 | 53.33% | 15 | 8 | 2 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Matthew Peca | Syracuse Crunch (TAM) | C | 7 | 4 | 2 | 6 | -3 | 2 | 0 | 15 | 8 | 21 | 3 | 15 | 19.05% | 6 | 151 | 21.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.93% | 207 | 3 | 4 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
6 | Tyler Steenbergen | Syracuse Crunch (TAM) | C/LW/RW | 7 | 1 | 4 | 5 | 0 | 0 | 0 | 12 | 1 | 13 | 4 | 8 | 7.69% | 3 | 128 | 18.39 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 5 | 1 | 1 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Cale Fleury | Syracuse Crunch (TAM) | D | 7 | 0 | 4 | 4 | 6 | 4 | 0 | 11 | 6 | 20 | 5 | 8 | 0.00% | 14 | 207 | 29.71 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 0.00% | 0 | 6 | 7 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Gabriel Dumont | Syracuse Crunch (TAM) | C | 7 | 3 | 0 | 3 | 4 | 0 | 0 | 9 | 14 | 37 | 14 | 18 | 8.11% | 3 | 127 | 18.18 | 0 | 0 | 0 | 3 | 20 | 1 | 0 | 1 | 1 | 22 | 0 | 0 | 48.48% | 66 | 4 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9 | Jack Rathbone | Syracuse Crunch (TAM) | D | 7 | 1 | 2 | 3 | 5 | 0 | 0 | 1 | 8 | 13 | 3 | 4 | 7.69% | 13 | 146 | 20.99 | 1 | 0 | 1 | 3 | 21 | 0 | 1 | 1 | 0 | 22 | 0 | 0 | 0.00% | 0 | 4 | 5 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
10 | Mark Jankowski | Syracuse Crunch (TAM) | C/LW | 7 | 1 | 1 | 2 | -1 | 0 | 0 | 5 | 9 | 6 | 3 | 7 | 16.67% | 3 | 66 | 9.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 3 | 1 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Connor Corcoran | Syracuse Crunch (TAM) | D | 7 | 0 | 2 | 2 | 1 | 2 | 0 | 1 | 0 | 3 | 0 | 1 | 0.00% | 2 | 61 | 8.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Bokondji Imama | Syracuse Crunch (TAM) | LW | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 6 | 5 | 5 | 1 | 1 | 0.00% | 3 | 73 | 10.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 2 | 0 | 3 | 0 | 0 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Libor Hajek | Syracuse Crunch (TAM) | D | 7 | 0 | 1 | 1 | -1 | 6 | 0 | 3 | 3 | 9 | 6 | 6 | 0.00% | 10 | 142 | 20.32 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Daniel Walcott | Syracuse Crunch (TAM) | LW | 7 | 1 | 0 | 1 | 3 | 4 | 0 | 9 | 4 | 14 | 5 | 6 | 7.14% | 2 | 85 | 12.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Ben Thomas | Syracuse Crunch (TAM) | D | 7 | 0 | 1 | 1 | -1 | 5 | 5 | 6 | 6 | 6 | 5 | 4 | 0.00% | 9 | 142 | 20.39 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.14 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
16 | Dennis Yan | Syracuse Crunch (TAM) | LW/RW | 7 | 0 | 1 | 1 | 3 | 4 | 0 | 4 | 1 | 13 | 1 | 9 | 0.00% | 1 | 84 | 12.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 2 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Grant Hutton | Syracuse Crunch (TAM) | D | 7 | 0 | 1 | 1 | -3 | 0 | 0 | 2 | 4 | 2 | 2 | 3 | 0.00% | 3 | 86 | 12.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Dylan Blujus | Syracuse Crunch (TAM) | D | 7 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 5 | 1 | 3 | 1 | 0.00% | 7 | 86 | 12.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Aidan Dudas | Syracuse Crunch (TAM) | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0.00% | 0 | 13 | 1.97 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Ryan Lohin | Syracuse Crunch (TAM) | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 140 | 22 | 39 | 61 | 9 | 55 | 5 | 137 | 108 | 275 | 82 | 147 | 8.00% | 96 | 2149 | 15.35 | 2 | 3 | 5 | 18 | 181 | 1 | 2 | 3 | 3 | 149 | 3 | 2 | 46.99% | 449 | 52 | 51 | 0 | 0 | 0.57 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram | Syracuse Crunch (TAM) | 7 | 3 | 2 | 2 | 0.886 | 3.57 | 437 | 0 | 0 | 26 | 228 | 114 | 1 | 0 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 7 | 3 | 2 | 2 | 0.886 | 3.57 | 437 | 0 | 0 | 26 | 228 | 114 | 1 | 0 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas | Syracuse Crunch (TAM) | C | 22 | 2000-06-15 07:14:11 | Yes | 162 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 786,000$ | 786,000$ | 0$ | 0$ | No | 786,000$ | |||||||||||
Ben Thomas | Syracuse Crunch (TAM) | D | 26 | 1996-05-28 | No | 180 Lbs | 7 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 675,000$ | 0$ | 0$ | No | Lien | |||||||||||
Bokondji Imama | Syracuse Crunch (TAM) | LW | 25 | 1996-08-03 09:24:59 | Yes | 217 Lbs | 6 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | ||||||||||||
Boris Katchouk | Syracuse Crunch (TAM) | LW | 23 | 1998-06-18 03:04:36 | Yes | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 873,000$ | 873,000$ | 0$ | 0$ | No | ||||||||||||
Cale Fleury | Syracuse Crunch (TAM) | D | 23 | 1998-11-19 | No | 205 Lbs | 6 ft11 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||||
Cameron Darcy | Syracuse Crunch (TAM) | C | 28 | 1994-03-02 | No | 190 Lbs | 6 ft10 | No | No | No | 2 | Pro & Farm | 920,000$ | 920,000$ | 0$ | 0$ | No | 920,000$ | Lien | ||||||||||
Cameron Hillis | Syracuse Crunch (TAM) | C | 21 | 2000-06-24 07:07:23 | Yes | 171 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 838,333$ | 838,333$ | 0$ | 0$ | No | 838,333$ | |||||||||||
Connor Corcoran | Syracuse Crunch (TAM) | D | 21 | 2000-08-07 07:08:54 | Yes | 185 Lbs | 7 ft0 | No | No | No | 2 | Pro & Farm | 813,333$ | 813,333$ | 0$ | 0$ | No | 813,333$ | |||||||||||
Connor Ingram | Syracuse Crunch (TAM) | G | 25 | 1997-03-31 03:55:05 | Yes | 212 Lbs | 6 ft10 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | ||||||||||||
Cristiano DiGiacinto | Syracuse Crunch (TAM) | LW/RW | 26 | 1996-01-10 16:07:29 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | ||||||||||||
Daniel Walcott | Syracuse Crunch (TAM) | LW | 28 | 1994-02-19 | No | 170 Lbs | 6 ft9 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||||
Danton Heinen | Syracuse Crunch (TAM) | C/LW/RW | 26 | 1995-07-05 | No | 188 Lbs | 6 ft11 | No | No | No | 2 | Pro & Farm | 1,250,000$ | 1,250,000$ | 0$ | 0$ | No | 1,250,000$ | Lien | ||||||||||
Dennis Yan | Syracuse Crunch (TAM) | LW/RW | 25 | 1997-04-14 04:01:19 | No | 184 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | |||||||||||
Dylan Blujus | Syracuse Crunch (TAM) | D | 28 | 1994-01-22 | No | 191 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 780,000$ | 780,000$ | 0$ | 0$ | No | Lien | |||||||||||
Eddie Pasquale | Syracuse Crunch (TAM) | G | 31 | 1990-11-20 | No | 216 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL | ||||||||||
Gabriel Dumont | Syracuse Crunch (TAM) | C | 31 | 1990-10-06 | No | 191 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 600,000$ | 595,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Grant Hutton | Syracuse Crunch (TAM) | D | 26 | 1995-07-25 | No | 205 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||||
Gustav Lindstrom | Syracuse Crunch (TAM) | D | 23 | 1998-10-20 | Yes | 190 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | |||||||||
Jack Rathbone | Syracuse Crunch (TAM) | D | 23 | 1999-03-20 07:10:53 | Yes | 177 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | ||||||||||||
Jacob McGrew | Syracuse Crunch (TAM) | RW | 26 | 1996-03-28 07:12:57 | Yes | 185 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 773,333$ | 773,333$ | 0$ | 0$ | No | 773,333$ | |||||||||||
Jacob Nilsson | Syracuse Crunch (TAM) | C/RW | 28 | 1993-10-12 | No | 180 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | Lien | |||||||||||
Jordan Spence | Syracuse Crunch (TAM) | D | 21 | 2001-02-24 16:09:07 | Yes | 175 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 820,000$ | 820,000$ | 0$ | 0$ | No | 820,000$ | 820,000$ | ||||||||||
Kristian Oldham | Syracuse Crunch (TAM) | G | 24 | 1997-06-25 16:10:29 | Yes | 203 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | |||||||||||
Libor Hajek | Syracuse Crunch (TAM) | D | 24 | 1998-02-04 | No | 203 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | Lien | |||||||||||
Lukas Craggs | Syracuse Crunch (TAM) | LW | 26 | 1996-05-16 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||||
MacKenzie Entwistle | Syracuse Crunch (TAM) | LW/RW | 22 | 1999-07-14 | No | 184 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | Lien | |||||||||||
Mark Jankowski | Syracuse Crunch (TAM) | C/LW | 27 | 1994-09-13 | No | 212 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | Lien | ||||||||||
Matt Spencer | Syracuse Crunch (TAM) | D | 25 | 1997-03-22 07:00:26 | Yes | 194 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 733,000$ | 733,000$ | 0$ | 0$ | No | ||||||||||||
Matthew Peca | Syracuse Crunch (TAM) | C | 29 | 1993-04-27 | No | 182 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien / Lien NHL | ||||||||||
Otto Somppi | Syracuse Crunch (TAM) | C/LW/RW | 24 | 1998-01-12 13:55:20 | Yes | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 780,000$ | 780,000$ | 0$ | 0$ | No | ||||||||||||
Ryan Lohin | Syracuse Crunch (TAM) | C | 25 | 1996-06-26 07:15:51 | Yes | 192 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | ||||||||||||
Ryan Zuhlsdorf | Syracuse Crunch (TAM) | D | 24 | 1997-07-01 16:13:06 | Yes | 187 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | |||||||||||
Simon Lundmark | Syracuse Crunch (TAM) | D | 21 | 2000-10-08 16:14:18 | Yes | 201 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 850,833$ | 850,833$ | 0$ | 0$ | No | 850,833$ | 850,833$ | ||||||||||
Ty Lewis | Syracuse Crunch (TAM) | LW | 24 | 1998-03-05 | No | 180 Lbs | 5 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||||
Tyler Steenbergen | Syracuse Crunch (TAM) | C/LW/RW | 24 | 1998-01-07 | No | 188 Lbs | 5 ft1 | No | No | No | 1 | Pro & Farm | 833,300$ | 833,300$ | 0$ | 0$ | No | Lien | |||||||||||
Zane McIntyre | Syracuse Crunch (TAM) | G | 29 | 1992-08-20 | No | 206 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
36 | 25.11 | 191 Lbs | 6 ft3 | 1.67 | 829,893$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Danton Heinen | Matthew Peca | MacKenzie Entwistle | 30 | 1 | 2 | 2 |
2 | Boris Katchouk | Otto Somppi | Tyler Steenbergen | 30 | 1 | 2 | 2 |
3 | Daniel Walcott | Gabriel Dumont | Dennis Yan | 20 | 1 | 2 | 2 |
4 | Bokondji Imama | Matthew Peca | Mark Jankowski | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Cale Fleury | Jack Rathbone | 30 | 1 | 2 | 2 | |
2 | Libor Hajek | Ben Thomas | 30 | 1 | 2 | 2 | |
3 | Grant Hutton | Dylan Blujus | 20 | 1 | 2 | 2 | |
4 | Connor Corcoran | Cale Fleury | 20 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Danton Heinen | Gabriel Dumont | MacKenzie Entwistle | 60 | 1 | 2 | 2 |
2 | Boris Katchouk | Otto Somppi | Tyler Steenbergen | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Cale Fleury | Jack Rathbone | 60 | 1 | 2 | 2 | |
2 | Libor Hajek | Ben Thomas | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Otto Somppi | Gabriel Dumont | 60 | 1 | 2 | 2 |
2 | MacKenzie Entwistle | Boris Katchouk | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Cale Fleury | Jack Rathbone | 60 | 1 | 2 | 2 |
2 | Libor Hajek | Ben Thomas | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | MacKenzie Entwistle | 60 | 1 | 2 | 2 | Cale Fleury | Jack Rathbone | 60 | 1 | 2 | 2 |
2 | Boris Katchouk | 40 | 1 | 2 | 2 | Libor Hajek | Ben Thomas | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Otto Somppi | Gabriel Dumont | 60 | 1 | 2 | 2 |
2 | MacKenzie Entwistle | Boris Katchouk | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Cale Fleury | Jack Rathbone | 60 | 1 | 2 | 2 |
2 | Libor Hajek | Ben Thomas | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Danton Heinen | Boris Katchouk | MacKenzie Entwistle | Cale Fleury | Jack Rathbone |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Danton Heinen | Boris Katchouk | MacKenzie Entwistle | Cale Fleury | Jack Rathbone |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Aidan Dudas, Ryan Lohin, Gabriel Dumont | Aidan Dudas, Ryan Lohin | Gabriel Dumont |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Grant Hutton, Dylan Blujus, Connor Corcoran | Grant Hutton | Dylan Blujus, Connor Corcoran |
Tirs de pénalité |
---|
Matthew Peca, Danton Heinen, MacKenzie Entwistle, Boris Katchouk , Otto Somppi |
Gardien |
---|
#1 : Connor Ingram , #2 : Eddie Pasquale |
Lignes d’attaque personnalisées en prolongation |
---|
Ryan Lohin, Danton Heinen, MacKenzie Entwistle, Boris Katchouk , Otto Somppi , Gabriel Dumont, Gabriel Dumont, Matthew Peca, Daniel Walcott, Tyler Steenbergen, Aidan Dudas |
Lignes de défense personnalisées en prolongation |
---|
Cale Fleury, Jack Rathbone, Libor Hajek, Ben Thomas, Grant Hutton |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Toronto Marlies | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 26 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 6 | 0.429 | 22 | 39 | 61 | 0 | 0 | 5 | 6 | 9 | 2 | 275 | 92 | 81 | 94 | 8 | 228 | 96 | 55 | 137 | 20 | 2 | 10.00% | 25 | 8 | 68.00% | 1 | 82 | 173 | 47.40% | 76 | 167 | 45.51% | 53 | 107 | 49.53% | 155 | 85 | 146 | 67 | 135 | 66 |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 26 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 6 | 0.429 | 22 | 39 | 61 | 0 | 0 | 5 | 6 | 9 | 2 | 275 | 92 | 81 | 94 | 8 | 228 | 96 | 55 | 137 | 20 | 2 | 10.00% | 25 | 8 | 68.00% | 1 | 82 | 173 | 47.40% | 76 | 167 | 45.51% | 53 | 107 | 49.53% | 155 | 85 | 146 | 67 | 135 | 66 | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 26 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 6 | 0.429 | 22 | 39 | 61 | 0 | 0 | 5 | 6 | 9 | 2 | 275 | 92 | 81 | 94 | 8 | 228 | 96 | 55 | 137 | 20 | 2 | 10.00% | 25 | 8 | 68.00% | 1 | 82 | 173 | 47.40% | 76 | 167 | 45.51% | 53 | 107 | 49.53% | 155 | 85 | 146 | 67 | 135 | 66 | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 26 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 6 | 0.429 | 22 | 39 | 61 | 0 | 0 | 5 | 6 | 9 | 2 | 275 | 92 | 81 | 94 | 8 | 228 | 96 | 55 | 137 | 20 | 2 | 10.00% | 25 | 8 | 68.00% | 1 | 82 | 173 | 47.40% | 76 | 167 | 45.51% | 53 | 107 | 49.53% | 155 | 85 | 146 | 67 | 135 | 66 |
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 |
7 | 6 | OTL1 | 22 | 39 | 61 | 275 | 228 | 96 | 55 | 137 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 3 | 4 | 0 | 0 | 0 | 0 | 22 | 26 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 15 | 15 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 7 | 11 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 2 | 0 | 2 | 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 |
---|---|---|---|---|---|---|
20 | 2 | 10.00% | 25 | 8 | 68.00% | 1 |
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 |
---|---|---|---|---|---|---|---|
92 | 81 | 94 | 8 | 5 | 6 | 9 | 2 |
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 |
82 | 173 | 47.40% | 76 | 167 | 45.51% | 53 | 107 | 49.53% |
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 |
155 | 85 | 146 | 67 | 135 | 66 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2021-10-12 | 3 | Toronto Marlies | 3 | Syracuse Crunch | 2 | BL | X | Sommaire du match | ||
3 - 2021-10-14 | 11 | Toronto Marlies | 2 | Syracuse Crunch | 3 | BW | X | Sommaire du match | ||
5 - 2021-10-16 | 19 | Syracuse Crunch | 4 | Toronto Marlies | 2 | AW | Sommaire du match | |||
7 - 2021-10-18 | 27 | Syracuse Crunch | 1 | Toronto Marlies | 5 | AL | Sommaire du match | |||
9 - 2021-10-20 | 35 | Toronto Marlies | 4 | Syracuse Crunch | 5 | BW | X | Sommaire du match | ||
11 - 2021-10-22 | 43 | Syracuse Crunch | 2 | Toronto Marlies | 4 | AL | Sommaire du match | |||
13 - 2021-10-24 | 51 | Toronto Marlies | 6 | Syracuse Crunch | 5 | BL | X | Sommaire du match |
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 |
34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 2,987,612$ | 2,984,612$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 0$ | 0$ |
# | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|