Connexion

Rockets
GP: 10 | W: 6 | L: 2 | OTL: 2 | P: 14
GF: 29 | GA: 30 | PP%: 8.70% | PK%: 76.92%
DG: Mario Mongrain | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #159 vs Checkers
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Centre de jeu
Rockets
6-2-2, 14pts
2
FINAL
3 Crunch
5-3-1, 11pts
Team Stats
W1StreakW1
4-0-0Home Record4-1-0
2-2-2Away Record1-2-1
6-2-2Last 10 Games5-3-1
2.90Buts par match 3.67
3.00Buts contre par match 3.11
8.70%Pourcentage en avantage numérique39.47%
76.92%Pourcentage en désavantage numérique87.10%
Rockets
6-2-2, 14pts
5
FINAL
2 Providence Bruins
3-7-0, 6pts
Team Stats
W1StreakL4
4-0-0Home Record2-3-0
2-2-2Away Record1-4-0
6-2-2Last 10 Games3-7-0
2.90Buts par match 2.40
3.00Buts contre par match 3.10
8.70%Pourcentage en avantage numérique22.58%
76.92%Pourcentage en désavantage numérique83.78%
Checkers
4-5-1, 9pts
2022-08-02
Rockets
6-2-2, 14pts
Statistiques d’équipe
L1SéquenceW1
1-3-1Fiche domicile4-0-0
3-2-0Fiche visiteur2-2-2
4-5-110 derniers matchs6-2-2
2.80Buts par match 2.90
3.10Buts contre par match 3.00
12.20%Pourcentage en avantage numérique8.70%
68.57%Pourcentage en désavantage numérique76.92%
Rockets
6-2-2, 14pts
2022-08-03
Binghamton Senateurs
4-6-0, 8pts
Statistiques d’équipe
W1SéquenceL1
4-0-0Fiche domicile3-2-0
2-2-2Fiche visiteur1-4-0
6-2-210 derniers matchs4-6-0
2.90Buts par match 2.70
3.00Buts contre par match 3.30
8.70%Pourcentage en avantage numérique16.28%
76.92%Pourcentage en désavantage numérique78.95%
Marlies
8-2-0, 16pts
2022-08-05
Rockets
6-2-2, 14pts
Statistiques d’équipe
W1SéquenceW1
5-0-0Fiche domicile4-0-0
3-2-0Fiche visiteur2-2-2
8-2-010 derniers matchs6-2-2
3.40Buts par match 2.90
2.90Buts contre par match 3.00
29.03%Pourcentage en avantage numérique8.70%
74.51%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Victoires
Cayden Primeau
3
Pourcentage d’arrêts
Adam Huska
0.909

Statistiques d’équipe
Buts pour
29
2.90 GFG
Tirs pour
377
37.70 Avg
Pourcentage en avantage numérique
8.7%
4 GF
Début de zone offensive
43.4%
Buts contre
30
3.00 GAA
Tirs contre
315
31.50 Avg
Pourcentage en désavantage numérique
76.9%
9 GA
Début de la zone défensive
39.3%
Information d’équipe

Directeur généralMario Mongrain
EntraîneurJean-Francois Houle
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 55
Espoirs44


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Michael McLeod0X100.007876776778839066886564806366650507402431,218,750$
2Shane Pinto0X100.006637746979807868857462816563660507402121,325,000$
3Ryan McLeod0X100.006842916982818868806564666763640507102341,302,000$
4Nolan Foote0X100.00723691668381826759647261706264050710212863,333$
5Brett Leason0X100.00774187619375886257606164626365050700231925,000$
6Matias Maccelli (R)0X100.00643686696884896874676163706364050700211925,000$
7Jayden Halbgewachs0X100.00623684676386816657656158666567050680251997,000$
8Riley Tufte0X100.00798177589676856154596055616466050680241995,833$
9Justin Dowling0X100.005835816568767366746762596572740506803111,017,000$
10Cody McLeod0X100.00728560578174865652575859537883050670381750,000$
11Antoine Morand0X100.00603883586971885763565560576365050640231927,500$
12Damien Giroux0X100.00613883596872775866575954586264050630221850,000$
13Tobias Bjornfot0X100.006335876874878666306755735061630507102121,052,500$
14Jack Rathbone0X100.00613684687084736730666263556365050690231925,000$
15Lassi Thomson0X100.006439816672858263306756605162640506802121,288,333$
16Mikko Kokkonen0X100.00633593657280786730645659536263050670214925,000$
17Josh Brook0X100.00655372557484895530585456476362050640231910,833$
18Tim Berni0X100.00623981597177835830565359456264050640221925,000$
Rayé
1Andre Lee0X100.00714273549175645358555059536264050630221925,000$
2Ryan McGregor0X100.00593788586872695766595556586365050620232803,633$
3Teemu Kivihalme0X100.00623882607167645930585654456769050630271963,000$
MOYENNE D’ÉQUIPE100.0066458263767981625462596258646605068
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Cayden Primeau100.00758386847473757473757463690507702341,563,000$
2Adam Huska100.00747273897372747372747365730507602511,103,000$
Rayé
1David Hrenak100.0075656679747375747375746471050750241925,000$
2Olle Eriksson Ek100.0068727381676668676668676369050710231878,889$
3Ilya Konovalov100.0065707173646365646365646671050680241925,000$
MOYENNE D’ÉQUIPE100.007172748170697170697170647105073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jean-Francois Houle66647369736878CAN4740$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Matias MaccelliRockets (MON)LW10010107001019335270.00%018218.270221143000000041.67%1200001.0901000100
2Michael McLeodRockets (MON)C10549-18027254983710.20%722622.6410113420000281060.77%31100000.7901000200
3Shane PintoRockets (MON)C10729720162941152717.07%521721.7320213420001282051.20%25000000.8301000102
4Mikko KokkonenRockets (MON)D100883120101511440.00%1118818.86022121011124000.00%000000.8500000000
5Nolan FooteRockets (MON)LW10347620131430111910.00%118518.580111040000000050.00%1200000.7501000020
6Ryan McLeodRockets (MON)C103361005274812286.25%519019.031128200001300047.95%7300000.6301000010
7Tobias BjornfotRockets (MON)D10055260241131990.00%1623923.960002642000021000.00%000000.4200000001
8Lassi ThomsonRockets (MON)D1032524019102191414.29%1321621.63000942000029100.00%000000.4600000101
9Jayden HalbgewachsRockets (MON)LW1013400032145127.14%110810.8400000000000050.00%600000.7400000001
10Justin DowlingRockets (MON)C10224-120713223259.09%011111.19000643000000049.38%8100000.7100000010
11Riley TufteRockets (MON)LW10123-21201461031610.00%011011.0400000000000033.33%300000.5400000010
12Cody McLeodRockets (MON)LW1011230013391411.11%1909.0400000101230040.00%500000.4400000000
13Damien GirouxRockets (MON)C811212045110100.00%0384.7500000000021033.33%600001.0500000000
14Jack RathboneRockets (MON)D10022280813137200.00%822322.3700074200008000.00%000000.1800000000
15Josh BrookRockets (MON)D1011216022233533.33%517217.2100000000028000.00%000000.2300000000
16Brett LeasonRockets (MON)RW10112-2401913235194.35%218118.170007410001281052.63%1900000.2200000000
17Tim BerniRockets (MON)D802221001152220.00%1312015.000000000000000.00%000000.3300000000
18Teemu KivihalmeRockets (MON)D2011-200110000.00%33216.250000000009000.00%000000.6200000000
19Antoine MorandRockets (MON)C10011-40021615340.00%412012.0300002000000038.17%13100000.1700000000
20Andre LeeRockets (MON)LW2000-100101010.00%02010.430000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne180295584247802292293771062737.69%95297716.54461011142811262446051.76%91000000.5605000555
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Cayden PrimeauRockets (MON)63110.9073.2934700192050000.000055101
2Adam HuskaRockets (MON)53110.9092.2626601101100200.800555100
Statistiques d’équipe totales ou en moyenne116220.9082.8461301293150200.80051010201


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam HuskaRockets (MON)G251997-05-12No214 Lbs6 ft4NoNoNo1Pro & Farm1,103,000$1,103,000$925,000$0$0$NoLien
Andre LeeRockets (MON)LW222000-07-26No206 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Antoine MorandRockets (MON)C231999-02-18No184 Lbs5 ft11NoNoNo1Pro & Farm927,500$927,500$778,334$0$0$NoLien
Brett LeasonRockets (MON)RW231999-04-30No218 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Cayden PrimeauRockets (MON)G231999-08-11No203 Lbs6 ft3NoNoNo4Pro & Farm1,563,000$1,563,000$880,833$0$0$No1,563,000$1,563,000$1,563,000$Lien
Cody McLeodRockets (MON)LW381984-06-26No204 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Damien GirouxRockets (MON)C222000-03-03No179 Lbs5 ft11NoNoNo1Pro & Farm850,000$850,000$850,000$0$0$NoLien
David HrenakRockets (MON)G241998-05-05No192 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Ilya KonovalovRockets (MON)G241998-07-13No194 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Jack RathboneRockets (MON)D231999-05-20No177 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Jayden HalbgewachsRockets (MON)LW251997-03-22No160 Lbs5 ft8NoNoNo1Pro & Farm997,000$997,000$650,000$0$0$NoLien
Josh BrookRockets (MON)D231999-06-17No182 Lbs6 ft1NoNoNo1Pro & Farm910,833$910,833$650,000$0$0$NoLien
Justin DowlingRockets (MON)C311990-10-01No180 Lbs5 ft10NoNoNo1Pro & Farm1,017,000$1,017,000$650,000$0$0$NoLien
Lassi ThomsonRockets (MON)D212000-09-24No190 Lbs6 ft0NoNoNo2Pro & Farm1,288,333$1,288,333$1,288,333$0$0$No1,288,333$Lien
Matias MaccelliRockets (MON)LW212000-10-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$No
Michael McLeodRockets (MON)C241998-02-03No190 Lbs6 ft2NoNoNo3Pro & Farm1,218,750$1,218,750$0$0$No1,218,750$1,218,750$Lien
Mikko KokkonenRockets (MON)D212001-01-18No198 Lbs5 ft11NoNoNo4Pro & Farm925,000$925,000$925,000$0$0$No925,000$925,000$925,000$Lien
Nolan FooteRockets (MON)LW212000-11-29No196 Lbs6 ft3NoNoNo2Pro & Farm863,333$863,333$863,333$0$0$No863,333$Lien
Olle Eriksson EkRockets (MON)G231999-06-22No189 Lbs6 ft3NoNoNo1Pro & Farm878,889$878,889$878,889$0$0$NoLien
Riley TufteRockets (MON)LW241998-04-10No220 Lbs6 ft6NoNoNo1Pro & Farm995,833$995,833$925,001$0$0$NoLien
Ryan McGregorRockets (MON)C231999-01-29No168 Lbs6 ft0NoNoNo2Pro & Farm803,633$803,633$803,633$0$0$No803,633$Lien
Ryan McLeodRockets (MON)C231999-09-21No207 Lbs6 ft2NoNoNo4Pro & Farm1,302,000$1,302,000$1,272,850$0$0$No1,302,000$1,302,000$1,302,000$Lien
Shane PintoRockets (MON)C212000-11-12No192 Lbs6 ft2NoNoNo2Pro & Farm1,325,000$1,325,000$1,325,000$0$0$No1,325,000$Lien
Teemu KivihalmeRockets (MON)D271995-06-14No181 Lbs6 ft0NoNoNo1Pro & Farm963,000$963,000$650,000$0$0$NoLien
Tim BerniRockets (MON)D222000-02-11No181 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Tobias BjornfotRockets (MON)D212001-04-06No200 Lbs6 ft0NoNoNo2Pro & Farm1,052,500$1,052,500$1,052,500$0$0$No1,052,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.77192 Lbs6 ft11.621,008,062$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody McLeodMichael McLeodRyan McLeod32113
2Matias MaccelliShane PintoNolan Foote32122
3Riley TufteAntoine MorandBrett Leason24023
4Damien GirouxJustin DowlingJayden Halbgewachs12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone34023
2Lassi ThomsonMikko Kokkonen33023
3Josh BrookTim Berni33032
4Tobias BjornfotJack Rathbone0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan FooteMichael McLeodBrett Leason50005
2Matias MaccelliShane PintoJustin Dowling50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone50014
2Lassi ThomsonRyan McLeod50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McLeodShane Pinto50041
2Ryan McLeodBrett Leason50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko KokkonenTobias Bjornfot50050
2Lassi ThomsonJosh Brook50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael McLeod50050Mikko KokkonenJack Rathbone50050
2Shane Pinto50050Lassi ThomsonJosh Brook50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael McLeodShane Pinto50023
2Ryan McLeodNolan Foote50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone50023
2Lassi ThomsonMikko Kokkonen50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteMichael McLeodBrett LeasonTobias BjornfotJack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteMichael McLeodBrett LeasonTobias BjornfotJack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael McLeod, Antoine Morand, Shane PintoMichael McLeod, Antoine MorandMichael McLeod
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Brook, Tobias Bjornfot, Lassi ThomsonJosh BrookJack Rathbone, Lassi Thomson
Tirs de pénalité
Michael McLeod, Shane Pinto, Ryan McLeod, Nolan Foote, Matias Maccelli
Gardien
#1 : Adam Huska, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Michael McLeod, Shane Pinto, Ryan McLeod, Nolan Foote, Matias Maccelli, Brett Leason, Brett Leason, Justin Dowling, Riley Tufte, Jayden Halbgewachs, Antoine Morand
Lignes de défense personnalisées en prolongation
Tobias Bjornfot, Jack Rathbone, Lassi Thomson, Mikko Kokkonen, Josh Brook


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Americans1010000016-5000000000001010000016-500.00012300913613614112410314408620400.00%30100.00%019038549.35%19234955.01%8915457.79%2521732307713066
2Binghamton Senateurs11000000413110000004130000000000021.000481200913613814112410314341316295120.00%8187.50%019038549.35%19234955.01%8915457.79%2521732307713066
3Checkers11000000101000000000001100000010121.00012301913613914112410314273415500.00%20100.00%019038549.35%19234955.01%8915457.79%2521732307713066
4Crunch20001001770100010005411000000123-130.7507142100913617114112410314532314459111.11%7271.43%019038549.35%19234955.01%8915457.79%2521732307713066
5Griffins2110000048-4110000003211010000016-520.50048120091361721411241031443211251900.00%6266.67%019038549.35%19234955.01%8915457.79%2521732307713066
6Marlies1000010034-1000000000001000010034-110.50035800913614314112410314591112276116.67%6183.33%019038549.35%19234955.01%8915457.79%2521732307713066
7Providence Bruins22000000945110000004221100000052341.0009162500913617814112410314591614428112.50%7357.14%119038549.35%19234955.01%8915457.79%2521732307713066
Total1052011012930-1430010001697622001011321-8140.70029558401913613771411241031431595782294648.70%39976.92%119038549.35%19234955.01%8915457.79%2521732307713066
_Since Last GM Reset1052011012930-1430010001697622001011321-8140.70029558401913613771411241031431595782294648.70%39976.92%119038549.35%19234955.01%8915457.79%2521732307713066
_Vs Conference1052011012930-1430010001697622001011321-8140.70029558401913613771411241031431595782294648.70%39976.92%119038549.35%19234955.01%8915457.79%2521732307713066
_Vs Division1052011012930-1430010001697622001011321-8140.70029558401913613771411241031431595782294648.70%39976.92%119038549.35%19234955.01%8915457.79%2521732307713066

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W1295584377315957822901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105211012930
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4301000169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62201011321
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4648.70%39976.92%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1411241031491361
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
19038549.35%19234955.01%8915457.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2521732307713066


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-07-1711Rockets3Marlies4ALXSommaire du match
2 - 2022-07-1822Rockets1Americans6ALSommaire du match
4 - 2022-07-2034Providence Bruins2Rockets4BWSommaire du match
6 - 2022-07-2255Crunch4Rockets5BWXSommaire du match
8 - 2022-07-2473Binghamton Senateurs1Rockets4BWSommaire du match
10 - 2022-07-2699Rockets1Griffins6ALSommaire du match
11 - 2022-07-27104Rockets1Checkers0AWSommaire du match
12 - 2022-07-28124Griffins2Rockets3BWSommaire du match
14 - 2022-07-30133Rockets2Crunch3ALXXSommaire du match
15 - 2022-07-31146Rockets5Providence Bruins2AWSommaire du match
17 - 2022-08-02159Checkers-Rockets-
18 - 2022-08-03167Rockets-Binghamton Senateurs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05192Marlies-Rockets-
22 - 2022-08-07223Americans-Rockets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,620,959$ 2,146,869$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Rockets Leaders statistiques (saison régulière)

# 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

Rockets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Rockets Statistiques de l'Équipe de Carrière


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TotalDomicileVisiteur
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

Rockets Leaders statistiques (séries éliminatoires)

# 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

Rockets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA