Syracuse Crunch | |
GP: 4 | W: 0 | L: 4 GF: 5 | GA: 19 | PP%: 0.00% | PK%: 55.56% DG: Remi Baril | Morale : 50 | Moyenne d’équipe : N/A |
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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 | Devin Shore | X | X | 100.00 | 70 | 37 | 95 | 67 | 79 | 74 | 79 | 63 | 79 | 67 | 64 | 70 | 66 | 71 | 72 | 55 | 35 | 0 | N | 0 | 29 | 4 | 1,999,999$ | ||
2 | Adam Erne | X | X | 100.00 | 82 | 71 | 88 | 65 | 80 | 82 | 88 | 64 | 69 | 67 | 61 | 66 | 62 | 70 | 71 | 64 | 45 | 0 | 0 | 28 | 3 | 1,800,000$ | |||
3 | Justin Kirkland (R) | X | 100.00 | 69 | 39 | 73 | 58 | 80 | 77 | 79 | 59 | 78 | 58 | 59 | 62 | 60 | 67 | 69 | 57 | 50 | 0 | 0 | 27 | 2 | 700,000$ | ||||
4 | Logan Brown | X | 100.00 | 80 | 75 | 91 | 64 | 96 | 78 | 76 | 67 | 73 | 68 | 60 | 63 | 65 | 66 | 68 | 82 | 47 | 0 | 0 | 25 | 3 | 750,000$ | ||||
5 | Jack Quinn (R) | X | 100.00 | 57 | 38 | 90 | 71 | 74 | 85 | 83 | 69 | 55 | 68 | 64 | 61 | 67 | 61 | 63 | 87 | 47 | 0 | 0 | 22 | 2 | 925,000$ | ||||
6 | Tyler Angle | X | 100.00 | 57 | 36 | 86 | 65 | 64 | 80 | 86 | 63 | 61 | 58 | 62 | 59 | 66 | 63 | 65 | 49 | 47 | 0 | 0 | 23 | 1 | 842,500$ | ||||
7 | Ben McCartney (R) | X | 100.00 | 79 | 41 | 67 | 55 | 71 | 82 | 79 | 57 | 58 | 54 | 55 | 56 | 60 | 62 | 64 | 49 | 50 | 0 | 0 | 22 | 1 | 805,000$ | ||||
8 | Gregory Hofmann | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 30 | 1 | 900,000$ | ||||
9 | Lauri Pajuniemi | X | 100.00 | 65 | 38 | 88 | 62 | 74 | 84 | 82 | 60 | 63 | 59 | 61 | 58 | 62 | 64 | 66 | 56 | 47 | 0 | 0 | 24 | 1 | 842,500$ | ||||
10 | Elmer Soderblom (R) | X | 100.00 | 83 | 42 | 86 | 64 | 99 | 80 | 67 | 66 | 56 | 60 | 65 | 64 | 66 | 62 | 63 | 49 | 50 | 0 | 0 | 22 | 2 | 842,500$ | ||||
11 | Dysin Mayo | X | 100.00 | 77 | 40 | 84 | 65 | 77 | 85 | 84 | 63 | 30 | 66 | 60 | 78 | 52 | 67 | 69 | 49 | 36 | 0 | 0 | 27 | 2 | 700,000$ | ||||
12 | Kodie Curran | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 33 | 2 | 1,000,000$ | ||||
13 | Michael Krutil | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 21 | 1 | 750,000$ | ||||
14 | Peter DiLiberatore | X | 100.00 | 55 | 37 | 76 | 55 | 64 | 70 | 75 | 54 | 30 | 55 | 54 | 52 | 46 | 63 | 65 | 49 | 47 | 0 | 0 | 23 | 2 | 925,000$ | ||||
15 | Eemil Viro (R) | X | 100.00 | 58 | 37 | 91 | 53 | 67 | 63 | 68 | 52 | 30 | 54 | 52 | 51 | 45 | 61 | 63 | 67 | 50 | 0 | 0 | 21 | 2 | 842,500$ | ||||
16 | Kim Nousiainen (R) | X | 100.00 | 63 | 36 | 95 | 54 | 63 | 62 | 67 | 53 | 30 | 55 | 52 | 50 | 45 | 63 | 65 | 59 | 50 | 0 | 0 | 22 | 2 | 842,500$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Matthew Kessel (R) | X | 100.00 | 68 | 41 | 74 | 60 | 81 | 84 | 76 | 59 | 30 | 60 | 58 | 62 | 49 | 63 | 65 | 49 | 47 | 0 | 0 | 23 | 2 | 842,500$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 64 | 42 | 77 | 58 | 69 | 78 | 80 | 57 | 47 | 57 | 56 | 57 | 53 | 58 | 59 | 50 | 46 | 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 | 89 | 68 | 74 | 70 | 72 | 74 | 74 | 75 | 63 | 76 | 74 | 88 | 99 | 70 | 0 | 0 | 34 | 3 | 750,000$ | |
2 | Alex Lyon | 100.00 | 63 | 99 | 73 | 78 | 67 | 70 | 72 | 72 | 73 | 58 | 77 | 71 | 85 | 99 | 47 | 0 | 0 | 30 | 1 | 750,000$ | |
Rayé | |||||||||||||||||||||||
1 | Arvid Holm | 100.00 | 52 | 85 | 66 | 89 | 53 | 60 | 60 | 61 | 61 | 52 | 70 | 65 | 73 | 99 | 50 | 0 | 0 | 24 | 1 | 842,500$ | |
2 | Eetu Makiniemi | 100.00 | 56 | 85 | 64 | 77 | 57 | 58 | 58 | 59 | 59 | 49 | 73 | 64 | 71 | 99 | 50 | 0 | 0 | 24 | 1 | 842,500$ | |
3 | Yaroslav Askarov (R) | 100.00 | 61 | 85 | 70 | 79 | 62 | 63 | 63 | 64 | 65 | 55 | 74 | 61 | 65 | 85 | 50 | 0 | 0 | 21 | 2 | 925,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 60 | 89 | 68 | 79 | 62 | 65 | 65 | 66 | 67 | 55 | 74 | 67 | 76 | 96 | 53 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
TampaBay | 30 | 30 | 30 | 30 | 30 | 30 | 11 | CAN | 43 | 1 | 40,000$ |
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 | Lauri Pajuniemi | Syracuse Crunch (TAM) | RW | 4 | 1 | 2 | 3 | -2 | 0 | 0 | 1 | 7 | 5 | 2 | 8 | 20.00% | 1 | 43 | 10.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 1.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Tyler Angle | Syracuse Crunch (TAM) | C | 4 | 1 | 1 | 2 | -2 | 2 | 0 | 2 | 8 | 15 | 3 | 11 | 6.67% | 1 | 44 | 11.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93.44% | 61 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Justin Kirkland | Syracuse Crunch (TAM) | LW | 4 | 0 | 1 | 1 | -2 | 5 | 5 | 4 | 6 | 9 | 3 | 6 | 0% | 0 | 43 | 10.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
4 | Jack Quinn | Syracuse Crunch (TAM) | RW | 4 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 7 | 19 | 5 | 7 | 5.26% | 0 | 61 | 15.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Michael Krutil | Syracuse Crunch (TAM) | D | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 11 | 0 | 3 | 0 | 1 | 0% | 3 | 27 | 6.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Peter DiLiberatore | Syracuse Crunch (TAM) | D | 4 | 1 | 0 | 1 | -1 | 6 | 0 | 25 | 0 | 13 | 3 | 6 | 7.69% | 4 | 67 | 16.98 | 0 | 0 | 0 | 7 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Ben McCartney | Syracuse Crunch (TAM) | LW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 6 | 2 | 7 | 16.67% | 0 | 18 | 4.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Matthew Kessel | Syracuse Crunch (TAM) | D | 3 | 0 | 1 | 1 | -4 | 0 | 0 | 14 | 5 | 7 | 3 | 4 | 0% | 3 | 56 | 18.99 | 0 | 0 | 0 | 7 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Elmer Soderblom | Syracuse Crunch (TAM) | LW | 4 | 0 | 1 | 1 | -2 | 11 | 5 | 15 | 5 | 18 | 4 | 9 | 0% | 1 | 59 | 14.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
10 | Eemil Viro | Syracuse Crunch (TAM) | D | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 4 | 4 | 4 | 2 | 3 | 0% | 2 | 49 | 12.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Kim Nousiainen | Syracuse Crunch (TAM) | D | 4 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 1 | 2 | 2 | 1 | 0% | 4 | 49 | 12.31 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 43 | 5 | 7 | 12 | -23 | 26 | 10 | 84 | 43 | 101 | 29 | 63 | 4.95% | 19 | 521 | 12.12 | 0 | 0 | 0 | 15 | 19 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 88.00% | 75 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 |
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 | 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 | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | 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 | 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 | 28 | 4/20/1995 | No | 212 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 1,800,000$ | 0$ | 0$ | No | 1,800,000$ | 1,800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |||
Alex Lyon | Syracuse Crunch (TAM) | G | 30 | 12/9/1992 | No | 201 Lbs | 6 ft1 | No | No | Trade | 1/28/2024 | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Arvid Holm | Syracuse Crunch (TAM) | G | 24 | 11/3/1998 | No | 213 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 842,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Ben McCartney | Syracuse Crunch (TAM) | LW | 22 | 7/13/2001 | Yes | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 805,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Devin Shore | Syracuse Crunch (TAM) | C/RW | 29 | 7/19/1994 | No | 206 Lbs | 6 ft1 | Yes | No | N/A | No | No | 4 | Pro & Farm | 1,999,999$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | Yes | Yes | Yes | - | - | - | - | - | - | Lien | |||
Dustin Tokarski | Syracuse Crunch (TAM) | G | 34 | 9/16/1989 | No | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |||
Dysin Mayo | Syracuse Crunch (TAM) | D | 27 | 8/17/1996 | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Eemil Viro | Syracuse Crunch (TAM) | D | 21 | 4/3/2002 | Yes | 165 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 842,500$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Eetu Makiniemi | Syracuse Crunch (TAM) | G | 24 | 4/19/1999 | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 842,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Elmer Soderblom | Syracuse Crunch (TAM) | LW | 22 | 7/5/2001 | Yes | 246 Lbs | 6 ft8 | No | No | N/A | No | No | 2 | Pro & Farm | 842,500$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Gregory Hofmann | Syracuse Crunch (TAM) | C | 30 | 11/13/1992 | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Jack Quinn | Syracuse Crunch (TAM) | RW | 22 | 9/19/2001 | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Justin Kirkland | Syracuse Crunch (TAM) | LW | 27 | 8/2/1996 | Yes | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Kim Nousiainen | Syracuse Crunch (TAM) | D | 22 | 11/14/2000 | Yes | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | Pro & Farm | 842,500$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Kodie Curran | Syracuse Crunch (TAM) | D | 33 | 12/18/1989 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Lauri Pajuniemi | Syracuse Crunch (TAM) | RW | 24 | 9/12/1999 | No | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 842,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Logan Brown | Syracuse Crunch (TAM) | C | 25 | 3/5/1998 | No | 218 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |||
Matthew Kessel | Syracuse Crunch (TAM) | D | 23 | 6/23/2000 | Yes | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 842,500$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Michael Krutil | Syracuse Crunch (TAM) | D | 21 | 6/3/2002 | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Peter DiLiberatore | Syracuse Crunch (TAM) | D | 23 | 3/31/2000 | No | 160 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Tyler Angle | Syracuse Crunch (TAM) | C | 23 | 9/30/2000 | No | 166 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 842,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Yaroslav Askarov | Syracuse Crunch (TAM) | G | 21 | 6/16/2002 | Yes | 178 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 25.23 | 193 Lbs | 6 ft2 | 1.86 | 928,182$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | Elmer Soderblom | Jack Quinn | 30 | 1 | 2 | 2 | |
3 | Justin Kirkland | Tyler Angle | Lauri Pajuniemi | 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 | Michael Krutil | 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 | Jack Quinn | 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 |
Justin Kirkland, Tyler Angle, Lauri Pajuniemi | Justin Kirkland, Tyler Angle | Lauri Pajuniemi |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Kim Nousiainen, Eemil Viro, Michael Krutil | Kim Nousiainen | Eemil Viro, Michael Krutil |
Tirs de pénalité |
---|
, , , , Jack Quinn |
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 | Rochester Americans | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 128 | 48 | 42 | 38 | 0 | 90 | 22 | 30 | 107 | 12 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 94 | 148 | 63.51% | 47 | 71 | 66.20% | 29 | 62 | 46.77% | 120 | 95 | 77 | 21 | 41 | 22 |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 128 | 48 | 42 | 38 | 0 | 90 | 22 | 30 | 107 | 12 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 94 | 148 | 63.51% | 47 | 71 | 66.20% | 29 | 62 | 46.77% | 120 | 95 | 77 | 21 | 41 | 22 | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 128 | 48 | 42 | 38 | 0 | 90 | 22 | 30 | 107 | 12 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 94 | 148 | 63.51% | 47 | 71 | 66.20% | 29 | 62 | 46.77% | 120 | 95 | 77 | 21 | 41 | 22 | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 128 | 48 | 42 | 38 | 0 | 90 | 22 | 30 | 107 | 12 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 94 | 148 | 63.51% | 47 | 71 | 66.20% | 29 | 62 | 46.77% | 120 | 95 | 77 | 21 | 41 | 22 |
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 |
4 | 0 | L4 | 5 | 7 | 12 | 128 | 90 | 22 | 30 | 107 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 19 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 8 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 11 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 4 | 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 |
---|---|---|---|---|---|---|
12 | 0 | 0.00% | 9 | 4 | 55.56% | 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 |
---|---|---|---|---|---|---|---|
48 | 42 | 38 | 0 | 1 | 3 | 1 | 0 |
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 |
94 | 148 | 63.51% | 47 | 71 | 66.20% | 29 | 62 | 46.77% |
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 |
120 | 95 | 77 | 21 | 41 | 22 |
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 | 4 | Syracuse Crunch | 2 | Rochester Americans | 4 | AL | Sommaire du match | |||
3 | 12 | Syracuse Crunch | 1 | Rochester Americans | 7 | AL | Sommaire du match | |||
5 | 20 | Rochester Americans | 4 | Syracuse Crunch | 2 | BL | Sommaire du match | |||
7 | 28 | Rochester Americans | 4 | Syracuse Crunch | 0 | BL | 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 | 4,000 | 1,988 |
Assistance PCT | 100.00% | 99.40% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
34 | 2994 - 99.80% | 100,194$ | 200,388$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 2,042,000$ | 1,537,500$ | 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 |
---|