Syracuse Crunch | |
GP: 25 | W: 9 | L: 10 | OTL: 6 | P: 24 GF: 79 | GA: 85 | PP%: 8.77% | PK%: 81.82% DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #403 vs Bridgeport Islanders |
|
|
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 | Adam Erne | X | X | 100.00 | 81 | 71 | 86 | 65 | 80 | 79 | 84 | 63 | 64 | 62 | 61 | 73 | 63 | 71 | 72 | 62 | 50 | 0 | 0 | 29 | 2 | 1,800,000$ | |||
2 | Justin Kirkland | X | 100.00 | 70 | 39 | 84 | 63 | 80 | 78 | 75 | 59 | 71 | 61 | 58 | 60 | 62 | 68 | 70 | 56 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
3 | Logan Brown | X | 100.00 | 40 | 35 | 40 | 64 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 66 | 68 | 11 | 50 | 0 | 0 | 26 | 2 | 750,000$ | ||||
4 | Tyler Angle | X | 100.00 | 66 | 36 | 86 | 66 | 64 | 75 | 80 | 62 | 63 | 58 | 65 | 59 | 62 | 65 | 66 | 48 | 50 | 0 | 0 | 24 | 4 | 867,500$ | ||||
5 | Ben McCartney (R) | X | 100.00 | 62 | 43 | 63 | 58 | 71 | 78 | 76 | 57 | 61 | 59 | 56 | 55 | 58 | 63 | 65 | 49 | 50 | 0 | 0 | 23 | 2 | 830,000$ | ||||
6 | Lauri Pajuniemi (R) | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 64 | 66 | 11 | 50 | 0 | 0 | 25 | 1 | 600,000$ | ||||
7 | Elmer Soderblom (R) | X | 100.00 | 84 | 41 | 92 | 60 | 99 | 81 | 79 | 62 | 58 | 59 | 64 | 63 | 61 | 63 | 65 | 49 | 50 | 0 | 0 | 23 | 1 | 842,500$ | ||||
8 | Waltteri Merela (R) | X | 100.00 | 74 | 39 | 92 | 58 | 85 | 78 | 73 | 57 | 66 | 58 | 59 | 62 | 57 | 66 | 68 | 42 | 50 | 0 | 0 | 26 | 4 | 870,000$ | ||||
9 | Alex Goligoski | X | 100.00 | 68 | 33 | 87 | 65 | 67 | 87 | 75 | 62 | 30 | 71 | 54 | 65 | 49 | 90 | 80 | 26 | 55 | 0 | N | 0 | 39 | 4 | 1,999,999$ | |||
10 | Dysin Mayo | X | 100.00 | 71 | 39 | 72 | 63 | 76 | 77 | 83 | 59 | 30 | 57 | 55 | 66 | 48 | 68 | 70 | 48 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
11 | Peter DiLiberatore | X | 100.00 | 55 | 37 | 84 | 56 | 64 | 72 | 70 | 54 | 30 | 57 | 53 | 55 | 46 | 64 | 66 | 48 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
12 | Michael Callahan (R) | X | 100.00 | 71 | 39 | 85 | 57 | 80 | 64 | 83 | 56 | 30 | 55 | 53 | 58 | 46 | 65 | 67 | 54 | 50 | 0 | 0 | 25 | 4 | 925,000$ | ||||
13 | Eemil Viro (R) | X | 100.00 | 60 | 36 | 92 | 58 | 67 | 63 | 74 | 57 | 30 | 55 | 52 | 56 | 45 | 62 | 64 | 67 | 50 | 0 | 0 | 22 | 1 | 842,500$ | ||||
14 | Kim Nousiainen (R) | X | 100.00 | 63 | 36 | 89 | 56 | 63 | 61 | 76 | 55 | 30 | 54 | 51 | 52 | 45 | 64 | 66 | 58 | 50 | 0 | 0 | 23 | 1 | 842,500$ | ||||
15 | Uvis Balinskis | X | 100.00 | 66 | 39 | 80 | 64 | 74 | 82 | 71 | 63 | 30 | 65 | 59 | 61 | 50 | 68 | 70 | 36 | 50 | 0 | 0 | 28 | 4 | 870,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Kodie Curran | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 34 | 1 | 1,000,000$ | ||||
2 | Michael Krutil (R) | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 22 | 1 | 600,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 62 | 39 | 74 | 59 | 65 | 76 | 80 | 54 | 40 | 55 | 53 | 56 | 48 | 62 | 63 | 40 | 50 | 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 gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dustin Tokarski | 100.00 | 67 | 99 | 76 | 75 | 68 | 61 | 62 | 62 | 62 | 53 | 74 | 76 | 89 | 45 | 50 | 0 | 0 | 35 | 2 | 750,000$ | |
2 | Yaroslav Askarov (R) | 100.00 | 66 | 99 | 84 | 80 | 67 | 66 | 65 | 65 | 66 | 55 | 77 | 62 | 72 | 85 | 50 | 0 | 0 | 22 | 1 | 925,000$ | |
Rayé | |||||||||||||||||||||||
1 | Braden Holtby | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 84 | 87 | 11 | 50 | 0 | 0 | 35 | 1 | 1,999,999$ | |
2 | Arvid Holm | 100.00 | 53 | 95 | 75 | 89 | 54 | 53 | 54 | 54 | 54 | 45 | 70 | 66 | 75 | 47 | 50 | 0 | 0 | 25 | 4 | 775,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 57 | 96 | 79 | 74 | 57 | 55 | 55 | 55 | 56 | 48 | 65 | 72 | 81 | 47 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 | Tyler Angle | Syracuse Crunch (TAM) | C | 25 | 26 | 6 | 32 | 17 | 4 | 0 | 57 | 48 | 125 | 37 | 79 | 20.80% | 7 | 276 | 11.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 77.66% | 273 | 0 | 0 | 0 | 3 | 2.32 | 1 | 2 | 0 | 0 | 0 | 8 | 2 | 6 |
2 | Elmer Soderblom | Syracuse Crunch (TAM) | LW | 25 | 18 | 4 | 22 | 5 | 42 | 10 | 82 | 42 | 164 | 45 | 113 | 10.98% | 11 | 377 | 15.12 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 80.00% | 15 | 0 | 0 | 0 | 2 | 1.16 | 0 | 2 | 1 | 1 | 0 | 4 | 3 | 3 |
3 | Peter DiLiberatore | Syracuse Crunch (TAM) | D | 25 | 5 | 16 | 21 | 10 | 12 | 0 | 50 | 28 | 35 | 13 | 21 | 14.29% | 21 | 393 | 15.75 | 0 | 1 | 1 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 |
4 | Eemil Viro | Syracuse Crunch (TAM) | D | 25 | 3 | 18 | 21 | 10 | 12 | 0 | 27 | 11 | 13 | 2 | 9 | 23.08% | 10 | 270 | 10.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 1.55 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 |
5 | Kim Nousiainen | Syracuse Crunch (TAM) | D | 25 | 2 | 16 | 18 | 10 | 6 | 0 | 28 | 9 | 16 | 5 | 5 | 12.50% | 15 | 270 | 10.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 1.33 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 |
6 | Ben McCartney | Syracuse Crunch (TAM) | LW | 25 | 6 | 5 | 11 | 9 | 4 | 0 | 38 | 13 | 42 | 14 | 44 | 14.29% | 12 | 122 | 4.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 1.79 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 |
Statistiques d’équipe totales ou en moyenne | 150 | 60 | 65 | 125 | 61 | 80 | 10 | 282 | 151 | 395 | 116 | 271 | 15.19% | 76 | 1712 | 11.41 | 1 | 1 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 78.01% | 291 | 0 | 0 | 0 | 5 | 1.46 | 1 | 4 | 1 | 1 | 0 | 15 | 17 | 17 |
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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne | Syracuse Crunch (TAM) | LW/RW | 29 | 1995-04-20 | USA | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,800,000$ | 1,261,856$ | 0$ | 0$ | No | 1,800,000$ | - | - | - | - | - | - | - | - | 1,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Alex Goligoski | Tampa Bay Lightning | D | 39 | 1985-07-30 | USA | No | 173 Lbs | 5 ft11 | Yes | No | Assign Manually | No | No | 4 | 2024-08-21 | False | False | Pro & Farm | 1,999,999$ | 1,411,167$ | 1,999,999$ | 1,411,167$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Arvid Holm | Syracuse Crunch (TAM) | G | 25 | 1998-11-03 | SWE | No | 213 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Ben McCartney | Syracuse Crunch (TAM) | LW | 23 | 2001-07-13 | CAN | Yes | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 830,000$ | 581,856$ | 0$ | 0$ | No | 830,000$ | - | - | - | - | - | - | - | - | 830,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Braden Holtby | Syracuse Crunch (TAM) | G | 35 | 1989-09-16 | CAN | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,999,999$ | 1,402,061$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Dustin Tokarski | Syracuse Crunch (TAM) | G | 35 | 1989-09-16 | CAN | No | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Dysin Mayo | Syracuse Crunch (TAM) | D | 28 | 1996-08-17 | CAN | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Eemil Viro | Syracuse Crunch (TAM) | D | 22 | 2002-04-03 | FIN | Yes | 165 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 590,619$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Elmer Soderblom | Syracuse Crunch (TAM) | LW | 23 | 2001-07-05 | SWE | Yes | 246 Lbs | 6 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 590,619$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Justin Kirkland | Syracuse Crunch (TAM) | LW | 28 | 1996-08-02 | CAN | No | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Kim Nousiainen | Syracuse Crunch (TAM) | D | 23 | 2000-11-14 | FIN | Yes | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 590,619$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Kodie Curran | Syracuse Crunch (TAM) | D | 34 | 1989-12-18 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 701,031$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Lauri Pajuniemi | Syracuse Crunch (TAM) | RW | 25 | 1999-09-12 | FIN | Yes | 196 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-18 | False | False | Pro & Farm | 600,000$ | 420,619$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Logan Brown | Syracuse Crunch (TAM) | C | 26 | 1998-03-05 | USA | No | 218 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Michael Callahan | Syracuse Crunch (TAM) | D | 25 | 1999-09-23 | USA | Yes | 197 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Michael Krutil | Syracuse Crunch (TAM) | D | 22 | 2002-06-03 | CZE | Yes | 202 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-18 | False | False | Pro & Farm | 600,000$ | 420,619$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Peter DiLiberatore | Syracuse Crunch (TAM) | D | 24 | 2000-03-31 | CAN | No | 160 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Tyler Angle | Syracuse Crunch (TAM) | C | 24 | 2000-09-30 | CAN | No | 166 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 867,500$ | 608,144$ | 0$ | 0$ | No | 867,500$ | 867,500$ | 867,500$ | - | - | - | - | - | - | 867,500$ | 867,500$ | 867,500$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Uvis Balinskis | Syracuse Crunch (TAM) | D | 28 | 1996-08-01 | LVA | No | 196 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 870,000$ | 609,897$ | 0$ | 0$ | No | 870,000$ | 870,000$ | 870,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Waltteri Merela | Syracuse Crunch (TAM) | C | 26 | 1998-07-06 | FIN | Yes | 210 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 870,000$ | 609,897$ | 0$ | 0$ | No | 870,000$ | 870,000$ | 870,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Yaroslav Askarov | Syracuse Crunch (TAM) | G | 22 | 2002-06-16 | RUS | Yes | 178 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
21 | 26.95 | 194 Lbs | 6 ft1 | 2.05 | 972,143$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | Elmer Soderblom | 30 | 1 | 2 | 2 | ||
3 | Tyler Angle | 22 | 1 | 2 | 2 | ||
4 | Ben McCartney | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | Peter DiLiberatore | 30 | 1 | 2 | 2 | ||
3 | Kim Nousiainen | Eemil Viro | 22 | 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 | Elmer Soderblom | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Peter DiLiberatore | 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 | Peter DiLiberatore | 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 | Peter DiLiberatore | 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 | Peter DiLiberatore | 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 |
, Tyler Angle, | , Tyler Angle |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Kim Nousiainen, Eemil Viro, | Kim Nousiainen | Eemil Viro, |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Abbotsford Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 30 | 22 | 27 | 1 | 8 | 287 | 272 | 313 | 23 | 22 | 7 | 2 | 15 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
2 | Bakersfield Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 30 | 22 | 27 | 1 | 48 | 287 | 272 | 313 | 23 | 28 | 7 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
3 | Charlotte Checkers | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 9 | 13 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 11 | -3 | 3 | 0.300 | 9 | 15 | 24 | 1 | 0 | 30 | 22 | 27 | 1 | 205 | 287 | 272 | 313 | 23 | 138 | 40 | 23 | 126 | 9 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
4 | Chicago Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 30 | 22 | 27 | 1 | 35 | 287 | 272 | 313 | 23 | 64 | 13 | 9 | 40 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
5 | Grand Rapids Griffins | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 30 | 22 | 27 | 1 | 23 | 287 | 272 | 313 | 23 | 31 | 8 | 4 | 26 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
6 | Hartford Wolf Pack | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1.000 | 16 | 25 | 41 | 0 | 0 | 30 | 22 | 27 | 1 | 143 | 287 | 272 | 313 | 23 | 60 | 19 | 29 | 65 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
7 | Hershey Bears | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 11 | 12 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 30 | 22 | 27 | 1 | 140 | 287 | 272 | 313 | 23 | 86 | 21 | 4 | 55 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
8 | LeHigh Valley Phantoms | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 30 | 22 | 27 | 1 | 88 | 287 | 272 | 313 | 23 | 54 | 17 | 10 | 54 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
9 | Manitoba Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 30 | 22 | 27 | 1 | 49 | 287 | 272 | 313 | 23 | 39 | 14 | 4 | 31 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
10 | Providence Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 30 | 22 | 27 | 1 | 42 | 287 | 272 | 313 | 23 | 29 | 13 | 6 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
11 | Rochester Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 30 | 22 | 27 | 1 | 5 | 287 | 272 | 313 | 23 | 40 | 13 | 10 | 13 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
12 | Rockford IceHogs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 30 | 22 | 27 | 1 | 43 | 287 | 272 | 313 | 23 | 39 | 16 | 4 | 27 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
13 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 30 | 22 | 27 | 1 | 35 | 287 | 272 | 313 | 23 | 15 | 3 | 0 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
14 | Utica Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 30 | 22 | 27 | 1 | 10 | 287 | 272 | 313 | 23 | 38 | 7 | 0 | 16 | 4 | 0 | 0.00% | 0 | 0 | 0% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
15 | Wilkes-Barre/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 30 | 22 | 27 | 1 | 15 | 287 | 272 | 313 | 23 | 41 | 10 | 10 | 12 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
Total | 25 | 9 | 10 | 0 | 0 | 4 | 0 | 2 | 79 | 85 | -6 | 12 | 6 | 4 | 0 | 0 | 2 | 0 | 0 | 48 | 41 | 7 | 13 | 3 | 6 | 0 | 0 | 2 | 0 | 2 | 31 | 44 | -13 | 24 | 0.480 | 79 | 136 | 215 | 1 | 0 | 30 | 22 | 27 | 1 | 889 | 287 | 272 | 313 | 23 | 724 | 208 | 115 | 538 | 57 | 5 | 8.77% | 44 | 8 | 81.82% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 | |
_Since Last GM Reset | 25 | 9 | 10 | 0 | 0 | 4 | 0 | 2 | 79 | 85 | -6 | 12 | 6 | 4 | 0 | 0 | 2 | 0 | 0 | 48 | 41 | 7 | 13 | 3 | 6 | 0 | 0 | 2 | 0 | 2 | 31 | 44 | -13 | 24 | 0.480 | 79 | 136 | 215 | 1 | 0 | 30 | 22 | 27 | 1 | 889 | 287 | 272 | 313 | 23 | 724 | 208 | 115 | 538 | 57 | 5 | 8.77% | 44 | 8 | 81.82% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 | |
_Vs Conference | 20 | 8 | 8 | 0 | 0 | 4 | 0 | 0 | 65 | 68 | -3 | 9 | 5 | 2 | 0 | 0 | 2 | 0 | 0 | 38 | 30 | 8 | 11 | 3 | 6 | 0 | 0 | 2 | 0 | 0 | 27 | 38 | -11 | 20 | 0.500 | 65 | 110 | 175 | 1 | 0 | 30 | 22 | 27 | 1 | 732 | 287 | 272 | 313 | 23 | 589 | 167 | 105 | 430 | 44 | 4 | 9.09% | 39 | 7 | 82.05% | 0 | 365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% | 714 | 561 | 545 | 140 | 264 | 137 |
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 |
25 | 24 | SOL2 | 79 | 136 | 215 | 889 | 724 | 208 | 115 | 538 | 1 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 9 | 10 | 0 | 4 | 0 | 2 | 79 | 85 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 6 | 4 | 0 | 2 | 0 | 0 | 48 | 41 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 3 | 6 | 0 | 2 | 0 | 2 | 31 | 44 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 6 | 0 | 0 | 0 | 2 |
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 |
---|---|---|---|---|---|---|
57 | 5 | 8.77% | 44 | 8 | 81.82% | 0 |
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 |
---|---|---|---|---|---|---|---|
287 | 272 | 313 | 23 | 30 | 22 | 27 | 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 |
365 | 662 | 55.14% | 240 | 536 | 44.78% | 189 | 403 | 46.90% |
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 |
714 | 561 | 545 | 140 | 264 | 137 |
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 | 22,681 | 11,544 |
Assistance PCT | 94.50% | 96.20% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
24 | 2852 - 95.07% | 95,088$ | 1,141,055$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
668,915$ | 1,934,000$ | 1,529,750$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
9,969$ | 668,915$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,282,110$ | 136 | 9,969$ | 1,355,784$ |
# | 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 |
---|