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Rockford Rockford Icehogs 22-10-7, 51pts · 3rd in Conference Ouest |
Rockford Icehogs | |
GP: 39 | W: 22 | L: 10 | OTL: 7 | P: 51 GF: 71 | GA: 59 | PP%: 24.69% | PK%: 76.74% DG: Dany Renaud | Morale : 55 | Moyenne d’équipe : N/A Prochains matchs #643 vs Chicago Wolf |
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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 | Ben Meyers | X | X | 100.00 | 80 | 44 | 91 | 70 | 69 | 56 | 79 | 62 | 57 | 59 | 56 | 67 | 25 | 52 | 53 | 63 | 60 | 0 | 0 | 24 | 1 | 775,000$ | |||
2 | Rasmus Kupari | X | X | X | 100.00 | 79 | 70 | 80 | 77 | 70 | 64 | 70 | 45 | 58 | 56 | 53 | 59 | 42 | 60 | 61 | 54 | 60 | 0 | 0 | 23 | 1 | 1,000,000$ | ||
3 | Angus Crookshank (R) | X | 100.00 | 80 | 44 | 90 | 72 | 66 | 56 | 83 | 67 | 25 | 58 | 68 | 64 | 25 | 45 | 45 | 68 | 60 | 0 | 0 | 24 | 1 | 838,333$ | ||||
4 | Jack Drury | X | 100.00 | 63 | 65 | 86 | 76 | 64 | 62 | 92 | 68 | 89 | 71 | 60 | 64 | 25 | 57 | 58 | 66 | 60 | 0 | 0 | 23 | 1 | 925,000$ | ||||
5 | Lukas Rousek | X | 100.00 | 61 | 40 | 99 | 70 | 63 | 57 | 84 | 61 | 26 | 61 | 55 | 61 | 25 | 45 | 45 | 61 | 60 | 0 | 0 | 24 | 2 | 775,000$ | ||||
6 | Kole Lind | X | 100.00 | 68 | 66 | 73 | 67 | 66 | 83 | 87 | 67 | 50 | 68 | 61 | 62 | 58 | 46 | 46 | 66 | 60 | 0 | 0 | 24 | 1 | 775,000$ | ||||
7 | Declan Chisholm (R) | X | 100.00 | 63 | 41 | 83 | 75 | 69 | 70 | 65 | 76 | 25 | 54 | 50 | 71 | 25 | 47 | 47 | 62 | 60 | 0 | 0 | 23 | 1 | 775,000$ | ||||
8 | Justin Barron | X | 100.00 | 78 | 44 | 89 | 77 | 75 | 76 | 88 | 69 | 25 | 50 | 58 | 74 | 25 | 56 | 56 | 66 | 60 | 0 | 0 | 21 | 1 | 925,000$ | ||||
9 | Ethan Del Mastro (R) | X | 100.00 | 80 | 80 | 79 | 63 | 80 | 67 | 71 | 54 | 25 | 51 | 43 | 65 | 41 | 44 | 44 | 56 | 60 | 0 | 0 | 20 | 1 | 545,000$ | ||||
10 | Nikita Okhotiuk | X | 100.00 | 93 | 46 | 74 | 74 | 71 | 68 | 62 | 63 | 25 | 51 | 47 | 80 | 25 | 52 | 52 | 62 | 60 | 0 | 0 | 23 | 1 | 905,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Lucas Johansen | X | 100.00 | 74 | 66 | 91 | 69 | 66 | 55 | 56 | 54 | 25 | 51 | 42 | 62 | 40 | 45 | 45 | 55 | 20 | 0 | 0 | 25 | 1 | 762,500$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 55 | 85 | 72 | 69 | 65 | 76 | 62 | 39 | 57 | 54 | 66 | 32 | 50 | 50 | 62 | 56 | 0 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | 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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Angus Crookshank | Rockford Icehogs (CHI) | LW | 24 | 1999-02-10 | Yes | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 838,333$ | 406,464$ | 0$ | 0$ | No | Lien | |||||||||
Ben Meyers | Rockford Icehogs (CHI) | C/LW | 24 | 1998-11-15 | No | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Declan Chisholm | Rockford Icehogs (CHI) | D | 23 | 2000-01-12 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien | |||||||||
Ethan Del Mastro | Rockford Icehogs (CHI) | D | 20 | 2003-01-15 | Yes | 210 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 545,000$ | 264,242$ | 0$ | 0$ | No | Lien | |||||||||
Jack Drury | Rockford Icehogs (CHI) | C | 23 | 2000-02-03 | No | 174 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Justin Barron | Rockford Icehogs (CHI) | D | 21 | 2001-11-15 | No | 202 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Kole Lind | Rockford Icehogs (CHI) | RW | 24 | 1998-10-16 | No | 176 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien | |||||||||
Lucas Johansen | Rockford Icehogs (CHI) | D | 25 | 1997-11-16 | No | 176 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 762,500$ | 369,697$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Lukas Rousek | Rockford Icehogs (CHI) | RW | 24 | 1999-04-20 | No | 174 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | 775,000$ | Lien / Lien NHL | ||||||||
Nikita Okhotiuk | Rockford Icehogs (CHI) | D | 23 | 2000-04-12 | No | 198 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 905,000$ | 438,788$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Rasmus Kupari | Rockford Icehogs (CHI) | C/LW/RW | 23 | 2000-03-15 | No | 189 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 484,848$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
11 | 23.09 | 187 Lbs | 6 ft1 | 1.09 | 818,258$ |
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 | ||||
---|---|---|---|---|
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 | Binghamton | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 10 | 25 | 33 | 4 | 10 | 121 | 160 | 201 | 23 | 13 | 3 | 18 | 8 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
2 | Charlotte Checkers | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 6 | 0.750 | 8 | 14 | 22 | 0 | 2 | 10 | 25 | 33 | 4 | 45 | 121 | 160 | 201 | 23 | 32 | 11 | 180 | 24 | 19 | 4 | 21.05% | 15 | 4 | 73.33% | 1 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
3 | Chicago | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 10 | 25 | 33 | 4 | 23 | 121 | 160 | 201 | 23 | 23 | 13 | 212 | 9 | 9 | 4 | 44.44% | 11 | 5 | 54.55% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
4 | Grand Rapids | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 10 | 25 | 33 | 4 | 29 | 121 | 160 | 201 | 23 | 19 | 17 | 207 | 12 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 2 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
5 | Hartford | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 10 | 25 | 33 | 4 | 27 | 121 | 160 | 201 | 23 | 25 | 4 | 19 | 12 | 12 | 2 | 16.67% | 7 | 2 | 71.43% | 1 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
6 | Hershey | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 33 | 4 | 14 | 121 | 160 | 201 | 23 | 14 | 1 | 9 | 6 | 8 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
7 | Houston | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 10 | 25 | 33 | 4 | 29 | 121 | 160 | 201 | 23 | 21 | 10 | 63 | 8 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
8 | Lake Erie | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 10 | 25 | 33 | 4 | 15 | 121 | 160 | 201 | 23 | 31 | 8 | 62 | 15 | 6 | 2 | 33.33% | 6 | 3 | 50.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
9 | Lowell | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 10 | 25 | 33 | 4 | 19 | 121 | 160 | 201 | 23 | 14 | 3 | 80 | 4 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
10 | Manchester | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 10 | 25 | 33 | 4 | 15 | 121 | 160 | 201 | 23 | 16 | 4 | 21 | 1 | 5 | 1 | 20.00% | 8 | 0 | 100.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
11 | Manitoba | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 10 | 25 | 33 | 4 | 11 | 121 | 160 | 201 | 23 | 14 | 5 | 21 | 8 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
12 | Milwaukee | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 0.500 | 6 | 11 | 17 | 0 | 1 | 10 | 25 | 33 | 4 | 35 | 121 | 160 | 201 | 23 | 50 | 17 | 240 | 14 | 10 | 2 | 20.00% | 15 | 5 | 66.67% | 1 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
13 | Norfolk | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 10 | 25 | 33 | 4 | 22 | 121 | 160 | 201 | 23 | 23 | 7 | 37 | 11 | 10 | 4 | 40.00% | 11 | 2 | 81.82% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
14 | Peroria | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.250 | 7 | 14 | 21 | 1 | 0 | 10 | 25 | 33 | 4 | 56 | 121 | 160 | 201 | 23 | 57 | 15 | 105 | 34 | 15 | 5 | 33.33% | 20 | 7 | 65.00% | 1 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
15 | Philadelphie | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 10 | 25 | 33 | 4 | 14 | 121 | 160 | 201 | 23 | 13 | 2 | 33 | 4 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
16 | Portland | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 10 | 25 | 33 | 4 | 14 | 121 | 160 | 201 | 23 | 14 | 4 | 20 | 5 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
17 | Providence | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 10 | 25 | 33 | 4 | 29 | 121 | 160 | 201 | 23 | 25 | 7 | 37 | 11 | 11 | 1 | 9.09% | 11 | 1 | 90.91% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
18 | Rochester | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 33 | 4 | 14 | 121 | 160 | 201 | 23 | 11 | 1 | 12 | 4 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
19 | Springfield | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 10 | 25 | 33 | 4 | 38 | 121 | 160 | 201 | 23 | 40 | 16 | 63 | 14 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
20 | Syracuse | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 5 | 0.833 | 4 | 6 | 10 | 0 | 2 | 10 | 25 | 33 | 4 | 32 | 121 | 160 | 201 | 23 | 36 | 15 | 131 | 11 | 10 | 3 | 30.00% | 13 | 2 | 84.62% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
21 | Wilkes Barre | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 33 | 4 | 3 | 121 | 160 | 201 | 23 | 18 | 11 | 163 | 5 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
Total | 39 | 19 | 10 | 0 | 2 | 5 | 1 | 2 | 71 | 59 | 12 | 20 | 8 | 7 | 0 | 1 | 3 | 0 | 1 | 31 | 33 | -2 | 19 | 11 | 3 | 0 | 1 | 2 | 1 | 1 | 40 | 26 | 14 | 51 | 0.654 | 71 | 132 | 203 | 1 | 9 | 10 | 25 | 33 | 4 | 494 | 121 | 160 | 201 | 23 | 509 | 174 | 1733 | 220 | 162 | 40 | 24.69% | 172 | 40 | 76.74% | 7 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 | |
_Since Last GM Reset | 39 | 19 | 10 | 0 | 2 | 5 | 1 | 2 | 71 | 59 | 12 | 20 | 8 | 7 | 0 | 1 | 3 | 0 | 1 | 31 | 33 | -2 | 19 | 11 | 3 | 0 | 1 | 2 | 1 | 1 | 40 | 26 | 14 | 51 | 0.654 | 71 | 132 | 203 | 1 | 9 | 10 | 25 | 33 | 4 | 494 | 121 | 160 | 201 | 23 | 509 | 174 | 1733 | 220 | 162 | 40 | 24.69% | 172 | 40 | 76.74% | 7 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 | |
_Vs Conference | 25 | 12 | 6 | 0 | 1 | 3 | 1 | 2 | 47 | 37 | 10 | 13 | 5 | 5 | 0 | 0 | 2 | 0 | 1 | 18 | 21 | -3 | 12 | 7 | 1 | 0 | 1 | 1 | 1 | 1 | 29 | 16 | 13 | 33 | 0.660 | 47 | 87 | 134 | 1 | 7 | 10 | 25 | 33 | 4 | 319 | 121 | 160 | 201 | 23 | 330 | 122 | 1113 | 146 | 99 | 25 | 25.25% | 103 | 26 | 74.76% | 6 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 | |
_Vs Division | 13 | 8 | 6 | 0 | 1 | 1 | 1 | 0 | 27 | 27 | 0 | 6 | 3 | 5 | 0 | 0 | 1 | 0 | 0 | 7 | 13 | -6 | 7 | 5 | 1 | 0 | 1 | 0 | 1 | 0 | 20 | 14 | 6 | 21 | 0.808 | 27 | 51 | 78 | 1 | 2 | 10 | 25 | 33 | 4 | 158 | 121 | 160 | 201 | 23 | 182 | 63 | 682 | 80 | 49 | 15 | 30.61% | 56 | 21 | 62.50% | 2 | 249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% | 960 | 698 | 951 | 264 | 458 | 227 |
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 |
39 | 51 | W2 | 71 | 132 | 203 | 494 | 509 | 174 | 1733 | 220 | 1 | 9 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
39 | 19 | 10 | 2 | 5 | 1 | 2 | 71 | 59 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 8 | 7 | 1 | 3 | 0 | 1 | 31 | 33 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 11 | 3 | 1 | 2 | 1 | 1 | 40 | 26 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 2 | 0 | 2 | 0 | 1 |
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 |
---|---|---|---|---|---|---|
162 | 40 | 24.69% | 172 | 40 | 76.74% | 7 |
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 |
---|---|---|---|---|---|---|---|
121 | 160 | 201 | 23 | 10 | 25 | 33 | 4 |
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 |
249 | 495 | 50.30% | 262 | 524 | 50.00% | 256 | 516 | 49.61% |
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 |
960 | 698 | 951 | 264 | 458 | 227 |
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 |
4,636,784$ | 9,000,833$ | 9,000,833$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 4,636,784$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 68,188$ | 4,364,032$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|