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Wilke Barre Wilkes Barre 25-15-0, 50pts · 4th in Conference Est |
Wilkes Barre | |
GP: 40 | W: 25 | L: 15 | OTL: 0 | P: 50 GF: 74 | GA: 58 | PP%: 23.96% | PK%: 74.53% DG: Roger Hache | Morale : 70 | Moyenne d’équipe : N/A Prochains matchs #646 vs Hartford |
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Priority | Type | Description |
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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 | Marc McLaughlin | X | 100.00 | 79 | 74 | 89 | 71 | 74 | 76 | 83 | 50 | 63 | 44 | 50 | 63 | 48 | 44 | 44 | 58 | 60 | 0 | 0 | 24 | 1 | 775,000$ | ||||
2 | Adam Raska | X | 100.00 | 60 | 63 | 53 | 67 | 63 | 69 | 75 | 47 | 50 | 43 | 46 | 53 | 44 | 45 | 45 | 51 | 60 | 0 | 0 | 22 | 1 | 848,333$ | ||||
3 | Vasily Podkolzin | X | X | 100.00 | 99 | 47 | 87 | 79 | 69 | 57 | 62 | 67 | 37 | 60 | 55 | 63 | 25 | 59 | 59 | 63 | 60 | 0 | 0 | 22 | 1 | 925,000$ | |||
4 | Henry Thrun (R) | X | 100.00 | 65 | 42 | 90 | 78 | 70 | 79 | 72 | 69 | 25 | 52 | 48 | 84 | 25 | 49 | 49 | 63 | 60 | 0 | 0 | 22 | 1 | 912,500$ | ||||
5 | Louis Crevier (R) | X | 100.00 | 78 | 45 | 94 | 64 | 84 | 67 | 79 | 64 | 25 | 50 | 47 | 83 | 25 | 46 | 46 | 62 | 60 | 0 | 0 | 22 | 1 | 850,833$ | ||||
6 | Daemon Hunt (R) | X | 100.00 | 69 | 42 | 99 | 67 | 71 | 57 | 77 | 62 | 25 | 47 | 47 | 73 | 25 | 45 | 45 | 59 | 60 | 0 | 0 | 21 | 2 | 828,333$ | ||||
7 | Scott Morrow (R) | X | 100.00 | 81 | 73 | 99 | 67 | 73 | 33 | 31 | 41 | 25 | 28 | 39 | 62 | 37 | 44 | 44 | 49 | 60 | 0 | 0 | 20 | 3 | 916,667$ | ||||
8 | Lane Hutson (R) | X | 100.00 | 71 | 59 | 99 | 78 | 59 | 33 | 31 | 41 | 25 | 28 | 39 | 57 | 37 | 44 | 44 | 48 | 60 | 0 | 0 | 19 | 3 | 950,000$ | ||||
9 | Kaedan Korczak | X | 100.00 | 82 | 45 | 90 | 73 | 73 | 69 | 72 | 65 | 25 | 64 | 48 | 71 | 25 | 47 | 47 | 63 | 60 | 0 | 0 | 22 | 1 | 795,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Patrick Brown | X | X | 100.00 | 88 | 46 | 93 | 72 | 75 | 52 | 73 | 62 | 52 | 59 | 55 | 74 | 25 | 60 | 62 | 64 | 20 | 0 | 0 | 31 | 2 | 800,000$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 77 | 54 | 89 | 72 | 71 | 59 | 66 | 57 | 35 | 48 | 47 | 68 | 32 | 48 | 49 | 58 | 56 | 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 | Justus Annunen | 100.00 | 69 | 58 | 56 | 85 | 77 | 62 | 75 | 69 | 77 | 69 | 75 | 45 | 45 | 69 | 60 | 0 | 0 | 23 | 1 | 880,833$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 69 | 58 | 56 | 85 | 77 | 62 | 75 | 69 | 77 | 69 | 75 | 45 | 45 | 69 | 60 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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Priority | Type | Description |
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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 |
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Priority | Type | Description |
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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 | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Adam Raska | Wilkes Barre (PIT) | RW | 22 | 2001-09-25 | No | 178 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 848,333$ | 411,313$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Daemon Hunt | Wilkes Barre (PIT) | D | 21 | 2002-05-15 | Yes | 198 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 828,333$ | 401,616$ | 0$ | 0$ | No | 828,333$ | Lien | ||||||||
Henry Thrun | Wilkes Barre (PIT) | D | 22 | 2001-03-12 | Yes | 189 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 912,500$ | 442,424$ | 0$ | 0$ | No | Lien | |||||||||
Justus Annunen | Wilkes Barre (PIT) | G | 23 | 2000-03-11 | No | 209 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 880,833$ | 427,071$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Kaedan Korczak | Wilkes Barre (PIT) | D | 22 | 2001-01-29 | No | 191 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 795,000$ | 385,455$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Lane Hutson | Wilkes Barre (PIT) | D | 19 | 2004-02-14 | Yes | 163 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 950,000$ | 460,606$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Lien | |||||||
Louis Crevier | Wilkes Barre (PIT) | D | 22 | 2001-04-05 | Yes | 213 Lbs | 6 ft8 | No | No | No | 1 | Pro & Farm | 850,833$ | 412,525$ | 0$ | 0$ | No | Lien | |||||||||
Marc McLaughlin | Wilkes Barre (PIT) | C | 24 | 1999-07-26 | No | 205 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Patrick Brown | Wilkes Barre (PIT) | C/RW | 31 | 1992-05-29 | No | 213 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 800,000$ | 387,879$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL | ||||||||
Scott Morrow | Wilkes Barre (PIT) | D | 20 | 2002-11-01 | Yes | 195 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 916,667$ | 444,445$ | 0$ | 0$ | No | 916,667$ | 916,667$ | Lien | |||||||
Vasily Podkolzin | Wilkes Barre (PIT) | LW/RW | 22 | 2001-06-24 | No | 189 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
11 | 22.55 | 195 Lbs | 6 ft1 | 1.55 | 862,045$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
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Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Albany | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 9 | 24 | 34 | 8 | 28 | 91 | 198 | 229 | 21 | 16 | 8 | 45 | 7 | 11 | 1 | 9.09% | 10 | 3 | 70.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
2 | Binghamton | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 9 | 24 | 34 | 8 | 15 | 91 | 198 | 229 | 21 | 9 | 5 | 11 | 6 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
3 | Bridgeport | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.333 | 2 | 4 | 6 | 0 | 1 | 9 | 24 | 34 | 8 | 36 | 91 | 198 | 229 | 21 | 32 | 14 | 78 | 16 | 8 | 2 | 25.00% | 19 | 3 | 84.21% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
4 | Chicago Wolf | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 4 | 0.500 | 7 | 14 | 21 | 0 | 1 | 9 | 24 | 34 | 8 | 50 | 91 | 198 | 229 | 21 | 44 | 13 | 234 | 29 | 21 | 3 | 14.29% | 22 | 4 | 81.82% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
5 | Grand Rapids | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 24 | 34 | 8 | 12 | 91 | 198 | 229 | 21 | 9 | 3 | 17 | 6 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
6 | Hamilton | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 24 | 34 | 8 | 14 | 91 | 198 | 229 | 21 | 14 | 3 | 84 | 3 | 7 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
7 | Hartford | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 6 | 1.000 | 7 | 12 | 19 | 0 | 2 | 9 | 24 | 34 | 8 | 36 | 91 | 198 | 229 | 21 | 31 | 18 | 130 | 13 | 16 | 5 | 31.25% | 5 | 1 | 80.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
8 | Hershey | 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 | 9 | 24 | 34 | 8 | 17 | 91 | 198 | 229 | 21 | 11 | 4 | 78 | 7 | 11 | 3 | 27.27% | 4 | 1 | 75.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
9 | Houston | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 24 | 34 | 8 | 24 | 91 | 198 | 229 | 21 | 25 | 9 | 21 | 10 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
10 | Iowa | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 9 | 24 | 34 | 8 | 11 | 91 | 198 | 229 | 21 | 16 | 4 | 78 | 5 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
11 | Lake Erie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 9 | 24 | 34 | 8 | 36 | 91 | 198 | 229 | 21 | 31 | 10 | 43 | 11 | 7 | 3 | 42.86% | 4 | 2 | 50.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
12 | Lowell | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 9 | 24 | 34 | 8 | 12 | 91 | 198 | 229 | 21 | 15 | 8 | 65 | 5 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
13 | Manchester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 1 | 1 | 2 | 0 | 1 | 9 | 24 | 34 | 8 | 28 | 91 | 198 | 229 | 21 | 21 | 5 | 89 | 6 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
14 | Manitoba | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 24 | 34 | 8 | 22 | 91 | 198 | 229 | 21 | 21 | 3 | 58 | 12 | 7 | 1 | 14.29% | 14 | 6 | 57.14% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
15 | Milwaukee | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 9 | 24 | 34 | 8 | 31 | 91 | 198 | 229 | 21 | 31 | 7 | 27 | 16 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
16 | Peroria | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 24 | 34 | 8 | 9 | 91 | 198 | 229 | 21 | 11 | 4 | 24 | 3 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
17 | Philadelphie | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 2 | 9 | 24 | 34 | 8 | 23 | 91 | 198 | 229 | 21 | 24 | 9 | 43 | 8 | 13 | 4 | 30.77% | 4 | 0 | 100.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
18 | Providence | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 7 | 11 | 0 | 0 | 9 | 24 | 34 | 8 | 30 | 91 | 198 | 229 | 21 | 22 | 2 | 15 | 13 | 12 | 2 | 16.67% | 5 | 0 | 100.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
19 | Rochester | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 9 | 24 | 34 | 8 | 29 | 91 | 198 | 229 | 21 | 22 | 5 | 38 | 20 | 6 | 2 | 33.33% | 9 | 3 | 66.67% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
20 | Rochester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 9 | 24 | 34 | 8 | 17 | 91 | 198 | 229 | 21 | 28 | 7 | 120 | 13 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
21 | Rockford Icehogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 9 | 24 | 34 | 8 | 18 | 91 | 198 | 229 | 21 | 3 | 3 | 79 | 9 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
22 | Toronto | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 9 | 24 | 34 | 8 | 34 | 91 | 198 | 229 | 21 | 14 | 6 | 110 | 15 | 15 | 5 | 33.33% | 5 | 4 | 20.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
Total | 40 | 18 | 15 | 0 | 5 | 0 | 2 | 0 | 74 | 58 | 16 | 20 | 7 | 9 | 0 | 3 | 0 | 1 | 0 | 34 | 26 | 8 | 20 | 11 | 6 | 0 | 2 | 0 | 1 | 0 | 40 | 32 | 8 | 50 | 0.625 | 74 | 137 | 211 | 0 | 11 | 9 | 24 | 34 | 8 | 532 | 91 | 198 | 229 | 21 | 450 | 150 | 1487 | 233 | 192 | 46 | 23.96% | 161 | 41 | 74.53% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 | |
_Since Last GM Reset | 40 | 18 | 15 | 0 | 5 | 0 | 2 | 0 | 74 | 58 | 16 | 20 | 7 | 9 | 0 | 3 | 0 | 1 | 0 | 34 | 26 | 8 | 20 | 11 | 6 | 0 | 2 | 0 | 1 | 0 | 40 | 32 | 8 | 50 | 0.625 | 74 | 137 | 211 | 0 | 11 | 9 | 24 | 34 | 8 | 532 | 91 | 198 | 229 | 21 | 450 | 150 | 1487 | 233 | 192 | 46 | 23.96% | 161 | 41 | 74.53% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 | |
_Vs Conference | 26 | 13 | 7 | 0 | 5 | 0 | 1 | 0 | 54 | 38 | 16 | 13 | 6 | 4 | 0 | 3 | 0 | 0 | 0 | 26 | 15 | 11 | 13 | 7 | 3 | 0 | 2 | 0 | 1 | 0 | 28 | 23 | 5 | 38 | 0.731 | 54 | 101 | 155 | 0 | 7 | 9 | 24 | 34 | 8 | 341 | 91 | 198 | 229 | 21 | 282 | 102 | 1051 | 155 | 134 | 34 | 25.37% | 103 | 26 | 74.76% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 | |
_Vs Division | 11 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 5 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 16 | 0.727 | 22 | 42 | 64 | 0 | 0 | 9 | 24 | 34 | 8 | 151 | 91 | 198 | 229 | 21 | 118 | 31 | 395 | 76 | 55 | 14 | 25.45% | 40 | 14 | 65.00% | 0 | 250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% | 1020 | 748 | 928 | 264 | 471 | 241 |
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 |
40 | 50 | L2 | 74 | 137 | 211 | 532 | 450 | 150 | 1487 | 233 | 0 | 11 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
40 | 18 | 15 | 5 | 0 | 2 | 0 | 74 | 58 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 7 | 9 | 3 | 0 | 1 | 0 | 34 | 26 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 11 | 6 | 2 | 0 | 1 | 0 | 40 | 32 |
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 |
---|---|---|---|---|---|---|
192 | 46 | 23.96% | 161 | 41 | 74.53% | 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 |
---|---|---|---|---|---|---|---|
91 | 198 | 229 | 21 | 9 | 24 | 34 | 8 |
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 |
250 | 536 | 46.64% | 261 | 498 | 52.41% | 304 | 554 | 54.87% |
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 |
1020 | 748 | 928 | 264 | 471 | 241 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
17 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
4,884,916$ | 9,482,499$ | 9,482,499$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 4,884,916$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 71,837$ | 4,597,568$ |
# | 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 |
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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 |
---|