Wilkes Barre Scranton Penguins | |
GP: 68 | W: 33 | L: 30 | OTL: 5 | P: 71 GF: 284 | GA: 286 | PP%: 24.83% | PK%: 72.38% DG: Joel Warlord | Morale : 60 | Moyenne d’équipe : 50 |
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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 | Nikita Alexandrov | 0 | X | 100.00 | 60 | 54 | 72 | 61 | 62 | 62 | 61 | 59 | 66 | 61 | 60 | 64 | 54 | 56 | 54 | 0 | 60 | 61 | 0 | 23 | 2 | 816,667$ | ||||
2 | Alexander Kisakov | 51 | X | X | 100.00 | 52 | 52 | 63 | 53 | 49 | 60 | 59 | 52 | 52 | 51 | 53 | 56 | 57 | 51 | 49 | 0 | 60 | 53 | 0 | 21 | 1 | 750,000$ | |||
3 | Jonathan Lekkerimaki (R) | 90 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
4 | Matthew Poitras (R) | 80 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
5 | Jared Davidson | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
6 | Jack Devine | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
7 | Victor Soderstrom | 29 | X | 100.00 | 57 | 51 | 67 | 60 | 66 | 65 | 60 | 58 | 40 | 63 | 55 | 64 | 54 | 55 | 54 | 0 | 60 | 60 | 0 | 23 | 2 | 863,333$ | ||||
8 | Alec Regula | 70 | X | 100.00 | 57 | 54 | 64 | 59 | 69 | 64 | 62 | 57 | 40 | 57 | 56 | 62 | 54 | 56 | 54 | 0 | 60 | 59 | 0 | 23 | 1 | 866,667$ | ||||
9 | Jett Woo | 25 | X | 100.00 | 56 | 55 | 62 | 58 | 65 | 66 | 65 | 56 | 40 | 56 | 56 | 62 | 56 | 56 | 54 | 0 | 60 | 59 | 0 | 23 | 1 | 750,000$ | ||||
10 | William Trudeau | 0 | X | 100.00 | 53 | 52 | 61 | 56 | 59 | 63 | 61 | 55 | 38 | 55 | 54 | 59 | 51 | 51 | 49 | 0 | 60 | 56 | 0 | 21 | 1 | 750,000$ | ||||
11 | Luke Prokop (R) | 28 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 22 | 4 | 750,000$ | ||||
12 | Filip Johansson (R) | 24 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 24 | 4 | 750,000$ | ||||
13 | Noah Warren (R) | 77 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
14 | Seamus Casey (R) | 76 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
15 | Matthew Mania | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
16 | Adam Engstrom | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
17 | PIT CAP HIT | 0 | X | 100.00 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 0 | 60 | 10 | 0 | 25 | 1 | 2,112,500$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 47 | 46 | 50 | 47 | 49 | 49 | 49 | 47 | 43 | 47 | 47 | 49 | 46 | 46 | 46 | 0 | 60 | 48 |
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 | Erik Kallgren | 36 | 100.00 | 63 | 61 | 61 | 72 | 66 | 59 | 69 | 63 | 62 | 61 | 68 | 63 | 57 | 0 | 60 | 64 | 0 | 27 | 1 | 750,000$ | |
2 | Mikhail Berdin | 32 | 100.00 | 60 | 60 | 60 | 61 | 63 | 63 | 62 | 58 | 55 | 57 | 59 | 57 | 52 | 0 | 60 | 60 | 0 | 26 | 1 | 750,000$ | |
3 | Jaxson Stauber | 39 | 100.00 | 58 | 55 | 56 | 69 | 67 | 57 | 67 | 59 | 60 | 54 | 55 | 54 | 51 | 0 | 60 | 60 | 0 | 24 | 2 | 883,750$ | |
Rayé | ||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 60 | 59 | 59 | 67 | 65 | 60 | 66 | 60 | 59 | 57 | 61 | 58 | 53 | 0 | 60 | 61 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Al MacInnis | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 60 | 4 | 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 | 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 | Jett Woo | Wilkes Barre Scranton Penguins (PIT) | D | 68 | 21 | 59 | 80 | 1 | 76 | 10 | 240 | 146 | 205 | 72 | 120 | 10.24% | 136 | 1504 | 22.12 | 5 | 10 | 15 | 51 | 105 | 0 | 0 | 0 | 2 | 89 | 1 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | 0 | 2 | 0 | 17 | 9 | 5 |
2 | Alexander Kisakov | Wilkes Barre Scranton Penguins (PIT) | LW/RW | 68 | 18 | 24 | 42 | 0 | 29 | 15 | 88 | 176 | 199 | 45 | 142 | 9.05% | 13 | 863 | 12.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 48.01% | 1385 | 0 | 0 | 0 | 0 | 0.97 | 0 | 1 | 1 | 0 | 2 | 2 | 5 | 7 |
3 | Seamus Casey | Wilkes Barre Scranton Penguins (PIT) | D | 68 | 3 | 13 | 16 | -13 | 26 | 0 | 124 | 31 | 36 | 10 | 28 | 8.33% | 68 | 945 | 13.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 |
4 | Jonathan Lekkerimaki | Wilkes Barre Scranton Penguins (PIT) | RW | 68 | 5 | 10 | 15 | 0 | 22 | 0 | 113 | 34 | 69 | 21 | 59 | 7.25% | 7 | 865 | 12.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.03% | 69 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 |
5 | Noah Warren | Wilkes Barre Scranton Penguins (PIT) | D | 68 | 3 | 11 | 14 | -13 | 26 | 0 | 123 | 25 | 30 | 16 | 27 | 10.00% | 67 | 945 | 13.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 |
6 | Luke Prokop | Wilkes Barre Scranton Penguins (PIT) | D | 68 | 4 | 6 | 10 | -3 | 12 | 0 | 77 | 73 | 51 | 19 | 30 | 7.84% | 5 | 479 | 7.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.24% | 738 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 |
7 | Matthew Poitras | Wilkes Barre Scranton Penguins (PIT) | C | 8 | 2 | 4 | 6 | 3 | 4 | 0 | 19 | 15 | 17 | 6 | 7 | 11.76% | 3 | 112 | 14.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.37% | 171 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
Statistiques d’équipe totales ou en moyenne | 416 | 56 | 127 | 183 | -25 | 195 | 25 | 784 | 500 | 607 | 189 | 413 | 9.23% | 299 | 5716 | 13.74 | 5 | 10 | 15 | 51 | 106 | 0 | 0 | 0 | 2 | 89 | 3 | 2 | 45.37% | 2363 | 0 | 0 | 0 | 0 | 0.64 | 0 | 1 | 1 | 2 | 2 | 23 | 25 | 28 |
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 | 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 |
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Adam Engstrom | Wilkes Barre Scranton Penguins (PIT) | D | 25 | 08/16/98 3:37:33 AM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Alec Regula | Wilkes Barre Scranton Penguins (PIT) | D | 23 | 08/06/00 | No | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 866,667$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Alexander Kisakov | Wilkes Barre Scranton Penguins (PIT) | LW/RW | 21 | 11/01/02 | No | 150 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Erik Kallgren | Wilkes Barre Scranton Penguins (PIT) | G | 27 | 10/14/96 | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Filip Johansson | Wilkes Barre Scranton Penguins (PIT) | D | 24 | 03/23/00 | Yes | 176 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Jack Devine | Wilkes Barre Scranton Penguins (PIT) | RW | 25 | 08/16/98 6:09:58 AM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jared Davidson | Wilkes Barre Scranton Penguins (PIT) | C | 25 | 08/16/98 3:38:37 AM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jaxson Stauber | Wilkes Barre Scranton Penguins (PIT) | G | 24 | 04/27/99 | No | 174 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 883,750$ | 0$ | 0$ | No | 883,750$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jett Woo | Wilkes Barre Scranton Penguins (PIT) | D | 23 | 07/27/00 | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jonathan Lekkerimaki | Wilkes Barre Scranton Penguins (PIT) | RW | 19 | 07/24/04 2:49:56 AM | Yes | 165 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Luke Prokop | Wilkes Barre Scranton Penguins (PIT) | D | 22 | 09/18/01 2:21:51 AM | Yes | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Matthew Mania | Wilkes Barre Scranton Penguins (PIT) | D | 25 | 08/16/98 3:37:09 AM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Matthew Poitras | Wilkes Barre Scranton Penguins (PIT) | C | 20 | 03/10/04 9:49:04 AM | Yes | 172 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Mikhail Berdin | Wilkes Barre Scranton Penguins (PIT) | G | 26 | 03/01/98 | No | 163 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Nikita Alexandrov | Wilkes Barre Scranton Penguins (PIT) | C | 23 | 09/16/00 | No | 177 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 816,667$ | 0$ | 0$ | No | 816,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Noah Warren | Wilkes Barre Scranton Penguins (PIT) | D | 19 | 07/15/04 4:43:54 AM | Yes | 225 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
PIT CAP HIT (contrat à 1 volet) | Wilkes Barre Scranton Penguins (PIT) | D | 25 | 07/17/98 4:30:39 PM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 2,112,500$ | 2,112,500$ | 11,003$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Seamus Casey | Wilkes Barre Scranton Penguins (PIT) | D | 20 | 01/08/04 3:31:22 AM | Yes | 174 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Victor Soderstrom | Wilkes Barre Scranton Penguins (PIT) | D | 23 | 02/26/01 | No | 184 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
William Trudeau | Wilkes Barre Scranton Penguins (PIT) | D | 21 | 10/11/02 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 23.00 | 185 Lbs | 6 ft0 | 2.05 | 839,646$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 30 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Alexander Kisakov | Jonathan Lekkerimaki | 25 | 1 | 2 | 2 | |
4 | Luke Prokop | 15 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jett Woo | 30 | 1 | 2 | 2 | ||
2 | 30 | 1 | 2 | 2 | |||
3 | Noah Warren | Seamus Casey | 25 | 1 | 2 | 2 | |
4 | Jett Woo | 15 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jett Woo | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jett Woo | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Jett Woo | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
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Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jett Woo | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jett Woo |
Défense dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jett Woo |
Attaquants supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , Seamus Casey | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
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, , , , , , , Jonathan Lekkerimaki, , Alexander Kisakov, |
Lignes de défense personnalisées en prolongation |
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, Jett Woo, , , Seamus Casey |
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 ) |
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6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Abbotsford Canucks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 12 | 24 | 36 | 0 | 0 | 106 | 97 | 73 | 8 | 123 | 972 | 981 | 1044 | 25 | 139 | 30 | 27 | 91 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
2 | Bakersfield Condors | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 106 | 97 | 73 | 8 | 52 | 972 | 981 | 1044 | 25 | 45 | 12 | 6 | 31 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
3 | Belleville Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 106 | 97 | 73 | 8 | 78 | 972 | 981 | 1044 | 25 | 75 | 21 | 10 | 51 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
4 | Bridgeport Islanders | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 8 | 1.000 | 20 | 37 | 57 | 0 | 1 | 106 | 97 | 73 | 8 | 192 | 972 | 981 | 1044 | 25 | 158 | 36 | 12 | 113 | 11 | 2 | 18.18% | 7 | 2 | 71.43% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
5 | Calgary Wranglers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 13 | 26 | 39 | 0 | 0 | 106 | 97 | 73 | 8 | 94 | 972 | 981 | 1044 | 25 | 91 | 19 | 10 | 37 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
6 | Charlotte Checkers | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 12 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.500 | 16 | 31 | 47 | 0 | 0 | 106 | 97 | 73 | 8 | 187 | 972 | 981 | 1044 | 25 | 137 | 34 | 22 | 117 | 13 | 3 | 23.08% | 11 | 3 | 72.73% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
7 | Chicago Wolves | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 106 | 97 | 73 | 8 | 37 | 972 | 981 | 1044 | 25 | 36 | 10 | 4 | 26 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
8 | Cleveland Monsters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 13 | 25 | 38 | 0 | 0 | 106 | 97 | 73 | 8 | 101 | 972 | 981 | 1044 | 25 | 86 | 29 | 12 | 65 | 4 | 3 | 75.00% | 6 | 2 | 66.67% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
9 | Coachella Valley Firebirds | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 106 | 97 | 73 | 8 | 62 | 972 | 981 | 1044 | 25 | 62 | 10 | 6 | 28 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
10 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 106 | 97 | 73 | 8 | 36 | 972 | 981 | 1044 | 25 | 42 | 9 | 6 | 25 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
11 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 106 | 97 | 73 | 8 | 38 | 972 | 981 | 1044 | 25 | 49 | 11 | 13 | 30 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
12 | Hartford Wolf Pack | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 17 | 21 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 10 | -3 | 4 | 0.500 | 17 | 29 | 46 | 0 | 0 | 106 | 97 | 73 | 8 | 147 | 972 | 981 | 1044 | 25 | 184 | 45 | 20 | 117 | 1 | 1 | 100.00% | 9 | 5 | 44.44% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
13 | Henderson Silver Knights | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 11 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 3 | 0.750 | 11 | 19 | 30 | 0 | 0 | 106 | 97 | 73 | 8 | 92 | 972 | 981 | 1044 | 25 | 118 | 33 | 14 | 43 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
14 | Hershey Bears | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 15 | 17 | -2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 5 | 0.500 | 15 | 27 | 42 | 0 | 0 | 106 | 97 | 73 | 8 | 231 | 972 | 981 | 1044 | 25 | 181 | 61 | 28 | 157 | 12 | 2 | 16.67% | 14 | 3 | 78.57% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
15 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 106 | 97 | 73 | 8 | 32 | 972 | 981 | 1044 | 25 | 42 | 15 | 2 | 28 | 0 | 0 | 0% | 1 | 1 | 0.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
16 | Laval Rocket | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.750 | 9 | 18 | 27 | 0 | 0 | 106 | 97 | 73 | 8 | 95 | 972 | 981 | 1044 | 25 | 107 | 32 | 22 | 65 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 1 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
17 | Lehigh Valley Phantoms | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 0.250 | 12 | 21 | 33 | 0 | 0 | 106 | 97 | 73 | 8 | 167 | 972 | 981 | 1044 | 25 | 150 | 69 | 24 | 109 | 7 | 2 | 28.57% | 11 | 1 | 90.91% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
18 | Manitoba Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 106 | 97 | 73 | 8 | 35 | 972 | 981 | 1044 | 25 | 29 | 12 | 13 | 23 | 2 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
19 | Milwaukee Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 106 | 97 | 73 | 8 | 55 | 972 | 981 | 1044 | 25 | 48 | 17 | 6 | 30 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
20 | Ontario Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 106 | 97 | 73 | 8 | 62 | 972 | 981 | 1044 | 25 | 32 | 10 | 9 | 40 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
21 | Providence Bruins | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 20 | -5 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 4 | 0.500 | 15 | 29 | 44 | 0 | 0 | 106 | 97 | 73 | 8 | 184 | 972 | 981 | 1044 | 25 | 195 | 57 | 34 | 102 | 8 | 2 | 25.00% | 14 | 2 | 85.71% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
22 | Rochester Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 106 | 97 | 73 | 8 | 63 | 972 | 981 | 1044 | 25 | 75 | 23 | 14 | 50 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
23 | Rockford IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 1.000 | 8 | 16 | 24 | 0 | 0 | 106 | 97 | 73 | 8 | 59 | 972 | 981 | 1044 | 25 | 50 | 11 | 4 | 25 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
24 | San Diego Gulls | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 106 | 97 | 73 | 8 | 24 | 972 | 981 | 1044 | 25 | 42 | 12 | 6 | 20 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
25 | San Jose Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 106 | 97 | 73 | 8 | 37 | 972 | 981 | 1044 | 25 | 45 | 14 | 8 | 18 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
26 | Springfield Thunderbirds | 5 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 20 | 20 | 0 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | -1 | 6 | 0.600 | 20 | 38 | 58 | 0 | 0 | 106 | 97 | 73 | 8 | 212 | 972 | 981 | 1044 | 25 | 177 | 50 | 42 | 131 | 12 | 3 | 25.00% | 14 | 3 | 78.57% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
27 | Syracuse Crunch | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 12 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 15 | 28 | 43 | 0 | 0 | 106 | 97 | 73 | 8 | 151 | 972 | 981 | 1044 | 25 | 134 | 23 | 17 | 81 | 6 | 2 | 33.33% | 6 | 3 | 50.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
28 | Texas Stars | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 106 | 97 | 73 | 8 | 39 | 972 | 981 | 1044 | 25 | 34 | 8 | 2 | 29 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
29 | Toronto Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 106 | 97 | 73 | 8 | 105 | 972 | 981 | 1044 | 25 | 116 | 30 | 12 | 55 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
30 | Tucson Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 106 | 97 | 73 | 8 | 42 | 972 | 981 | 1044 | 25 | 53 | 15 | 6 | 28 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
31 | Utica Comets | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 19 | 19 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.500 | 19 | 37 | 56 | 1 | 0 | 106 | 97 | 73 | 8 | 188 | 972 | 981 | 1044 | 25 | 226 | 59 | 27 | 122 | 12 | 2 | 16.67% | 11 | 2 | 81.82% | 0 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
Total | 68 | 25 | 30 | 0 | 7 | 5 | 1 | 0 | 284 | 286 | -2 | 34 | 13 | 14 | 0 | 3 | 3 | 1 | 0 | 148 | 138 | 10 | 34 | 12 | 16 | 0 | 4 | 2 | 0 | 0 | 136 | 148 | -12 | 71 | 0.522 | 284 | 536 | 820 | 2 | 1 | 106 | 97 | 73 | 8 | 3020 | 972 | 981 | 1044 | 25 | 2958 | 817 | 438 | 1887 | 149 | 37 | 24.83% | 181 | 50 | 72.38% | 1 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 | |
_Since Last GM Reset | 68 | 25 | 30 | 0 | 7 | 5 | 1 | 0 | 284 | 286 | -2 | 34 | 13 | 14 | 0 | 3 | 3 | 1 | 0 | 148 | 138 | 10 | 34 | 12 | 16 | 0 | 4 | 2 | 0 | 0 | 136 | 148 | -12 | 71 | 0.522 | 284 | 536 | 820 | 2 | 1 | 106 | 97 | 73 | 8 | 3020 | 972 | 981 | 1044 | 25 | 2958 | 817 | 438 | 1887 | 149 | 37 | 24.83% | 181 | 50 | 72.38% | 1 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 | |
_Vs Conference | 50 | 20 | 23 | 0 | 5 | 2 | 0 | 0 | 203 | 199 | 4 | 24 | 10 | 11 | 0 | 2 | 1 | 0 | 0 | 99 | 94 | 5 | 26 | 10 | 12 | 0 | 3 | 1 | 0 | 0 | 104 | 105 | -1 | 52 | 0.520 | 203 | 383 | 586 | 1 | 1 | 106 | 97 | 73 | 8 | 2224 | 972 | 981 | 1044 | 25 | 2140 | 599 | 323 | 1426 | 112 | 28 | 25.00% | 134 | 36 | 73.13% | 1 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 | |
_Vs Division | 44 | 12 | 13 | 0 | 4 | 1 | 0 | 0 | 181 | 171 | 10 | 21 | 6 | 6 | 0 | 2 | 1 | 0 | 0 | 89 | 82 | 7 | 23 | 6 | 7 | 0 | 2 | 0 | 0 | 0 | 92 | 89 | 3 | 33 | 0.375 | 181 | 340 | 521 | 1 | 1 | 106 | 97 | 73 | 8 | 1964 | 972 | 981 | 1044 | 25 | 1909 | 540 | 271 | 1260 | 96 | 25 | 26.04% | 117 | 32 | 72.65% | 1 | 1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% | 1551 | 1094 | 1708 | 479 | 843 | 405 |
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 |
68 | 71 | L2 | 284 | 536 | 820 | 3020 | 2958 | 817 | 438 | 1887 | 2 | 1 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
68 | 25 | 30 | 7 | 5 | 1 | 0 | 284 | 286 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 13 | 14 | 3 | 3 | 1 | 0 | 148 | 138 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 12 | 16 | 4 | 2 | 0 | 0 | 136 | 148 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 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 |
---|---|---|---|---|---|---|
149 | 37 | 24.83% | 181 | 50 | 72.38% | 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 |
---|---|---|---|---|---|---|---|
972 | 981 | 1044 | 25 | 106 | 97 | 73 | 8 |
Mises en jeu | ||||||||
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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 |
1276 | 2726 | 46.81% | 1240 | 2652 | 46.76% | 576 | 1250 | 46.08% |
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 |
1551 | 1094 | 1708 | 479 | 843 | 405 |
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 | 4500 | 3500 |
Prix des billets | 35 | 0 |
Assistance | 147,570 | 114,010 |
Assistance PCT | 96.45% | 95.81% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 7694 - 96.17% | 151,910$ | 5,164,950$ | 8000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
1,415,732$ | 1,468,042$ | 1,018,042$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 1,415,732$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 8,294$ | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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