Connexion

Rockets
GP: 20 | W: 15 | L: 4 | OTL: 1 | P: 31
GF: 84 | GA: 63 | PP%: 27.50% | PK%: 82.19%
DG: Mario Mongrain | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #312 vs Americans
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Centre de jeu
IceHogs
7-9-3, 17pts
1
FINAL
2 Rockets
15-4-1, 31pts
Team Stats
L1StreakW2
3-5-2Home Record8-1-0
4-4-1Away Record7-3-1
4-4-2Last 10 Games7-2-1
3.42Buts par match 4.20
3.84Buts contre par match 3.15
33.93%Pourcentage en avantage numérique27.50%
78.67%Pourcentage en désavantage numérique82.19%
Rockets
15-4-1, 31pts
5
FINAL
4 Providence Bruins
11-7-1, 23pts
Team Stats
W2StreakL1
8-1-0Home Record4-6-0
7-3-1Away Record7-1-1
7-2-1Last 10 Games6-3-1
4.20Buts par match 3.58
3.15Buts contre par match 3.37
27.50%Pourcentage en avantage numérique30.43%
82.19%Pourcentage en désavantage numérique80.88%
Rockets
15-4-1, 31pts
2022-11-29
Americans
11-6-3, 25pts
Statistiques d’équipe
W2SéquenceW8
8-1-0Fiche domicile5-2-2
7-3-1Fiche visiteur6-4-1
7-2-110 derniers matchs8-2-0
4.20Buts par match 3.55
3.15Buts contre par match 3.50
27.50%Pourcentage en avantage numérique15.28%
82.19%Pourcentage en désavantage numérique81.08%
Firebirds
8-11-0, 16pts
2022-12-01
Rockets
15-4-1, 31pts
Statistiques d’équipe
L3SéquenceW2
4-5-0Fiche domicile8-1-0
4-6-0Fiche visiteur7-3-1
5-5-010 derniers matchs7-2-1
2.95Buts par match 4.20
3.11Buts contre par match 3.15
15.49%Pourcentage en avantage numérique27.50%
81.82%Pourcentage en désavantage numérique82.19%
Rockets
15-4-1, 31pts
2022-12-03
Checkers
7-10-2, 16pts
Statistiques d’équipe
W2SéquenceL2
8-1-0Fiche domicile3-5-1
7-3-1Fiche visiteur4-5-1
7-2-110 derniers matchs3-7-0
4.20Buts par match 2.84
3.15Buts contre par match 3.47
27.50%Pourcentage en avantage numérique17.11%
82.19%Pourcentage en désavantage numérique78.48%
Meneurs d'équipe
Victoires
Cayden Primeau
9
Pourcentage d’arrêts
Adam Huska
0.913

Statistiques d’équipe
Buts pour
84
4.20 GFG
Tirs pour
739
36.95 Avg
Pourcentage en avantage numérique
27.5%
22 GF
Début de zone offensive
42.8%
Buts contre
63
3.15 GAA
Tirs contre
644
32.20 Avg
Pourcentage en désavantage numérique
82.2%
13 GA
Début de la zone défensive
38.1%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,395
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure22
Limite contact 48 / 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 McLeod0X97.007876776778839066886564806366650507302431,218,750$
2Shane Pinto0X95.006637746979807868857462816563660507302221,325,000$
3Ryan McLeod0X100.006842916982818868806564666763640507102341,302,000$
4Nolan Foote0X99.00723691668381826759647261706264050710212863,333$
5Brett Leason0X100.00774187619375886257606164626365050690231925,000$
6Matias Maccelli (R)0X98.00643686696884896874676163706364050690221925,000$
7Riley Tufte0X100.00798177589676856154596055616466050680241995,833$
8Jayden Halbgewachs0X100.00623684676386816657656158666567050670251997,000$
9Justin Dowling0X100.005835816568767366746762596572740506703211,017,000$
10Cody McLeod0X100.00728560578174865652575859537883050660381750,000$
11Damien Giroux0X100.00613883596872775866575954586264050630221850,000$
12Tobias Bjornfot0X98.006335876874878666306755735061630507002121,052,500$
13Jack Rathbone0X100.00613684687084736730666263556365050680231925,000$
14Lassi Thomson0X100.006439816672858263306756605162640506702221,288,333$
15Mikko Kokkonen0X100.00633593657280786730645659536263050670214925,000$
16Josh Brook0X100.00655372557484895530585456476362050640231910,833$
17Tim Berni0X100.00623981597177835830565359456264050640221925,000$
18Teemu Kivihalme0X100.00623882607167645930585654456769050630271963,000$
Rayé
1Antoine Morand0X100.00603883586971885763565560576365050630231927,500$
2Andre Lee0X100.00714273549175645358555059536264050630221925,000$
3Ryan McGregor0X100.00593788586872695766595556586365050620232803,633$
MOYENNE D’ÉQUIPE99.3866458263767981625462596258646605067
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 Huska100.00747273897372747372747365730507502511,103,000$
Rayé
1David Hrenak100.0075656679747375747375746471050740241925,000$
2Olle Eriksson Ek100.0068727381676668676668676369050700231878,889$
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
1Shane PintoRockets (MON)C181416301080226891276215.38%637220.71561116531012421155.22%52700021.6100000420
2Michael McLeodRockets (MON)C20101222-1215395485258011.76%1538119.0712314470000402159.51%40500101.1500100020
3Ryan McLeodRockets (MON)C2091322400193464236014.06%539819.9306613490000451158.04%28600001.1001000121
4Jack RathboneRockets (MON)D2021820610032283314226.06%1746623.331781764000060000.00%000000.8600000012
5Nolan FooteRockets (MON)LW2010818-440242581195412.35%139920.0043720620002594337.14%3500000.9001000123
6Mikko KokkonenRockets (MON)D2031417-412034192761611.11%3143421.722351760000057110.00%000000.7800000021
7Brett LeasonRockets (MON)RW2010515-14028184964020.41%433316.683141262000001461.54%2600000.9000000210
8Tobias BjornfotRockets (MON)D205914560303739232312.82%2347423.724042064000062100.00%000000.5900000011
9Matias MaccelliRockets (MON)LW205611580172149103710.20%332216.131349430113450053.33%1500000.6801000001
10Justin DowlingRockets (MON)C2001010-10011344615380.00%328314.18044649000000049.67%30600000.7100000001
11Lassi ThomsonRockets (MON)D203710-42204624374268.11%2043421.751231760000056100.00%000000.4600000000
12Jayden HalbgewachsRockets (MON)LW2025732017194212234.76%222511.2600000000000029.41%1700000.6200000010
13Riley TufteRockets (MON)LW20426714026132021920.00%21567.8300000000001036.36%1100100.7700000001
14Antoine MorandRockets (MON)C192465208101522013.33%11387.2700002000001036.36%1100000.8700000000
15Damien GirouxRockets (MON)C202356003171561713.33%41567.81011050001120042.68%15700000.6400000000
16Teemu KivihalmeRockets (MON)D16055101001986180.00%1723214.5000001000011000.00%000000.4300000000
17Josh BrookRockets (MON)D20123101603410921011.11%2429714.890000100002100.00%000000.2000000100
18Cody McLeodRockets (MON)LW2020232405211253118.00%128414.2300003000020046.43%2800000.1400000000
19Tim BerniRockets (MON)D5022120214210.00%66813.760000000000000.00%000000.5800000000
20Ryan McGregorRockets (MON)C2011100312220.00%22010.2600000000000070.59%1700000.9700000000
Statistiques d’équipe totales ou en moyenne3608414222661165546645273920456911.37%187588216.342238601616341128499151153.88%184100220.770310091411
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)109100.8933.4455800322980100.00001010001
2Adam HuskaRockets (MON)116310.9132.7764901303460000.50021010300
Statistiques d’équipe totales ou en moyenne2115410.9043.08120801626440100.50022020301


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$848,005$925,000$0$0$NoLien
Andre LeeRockets (MON)LW222000-07-26No206 Lbs6 ft5NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Antoine MorandRockets (MON)C231999-02-18No184 Lbs5 ft11NoNoNo1Pro & Farm927,500$713,077$778,334$0$0$NoLien
Brett LeasonRockets (MON)RW231999-04-30No218 Lbs6 ft5NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Cayden PrimeauRockets (MON)G231999-08-11No203 Lbs6 ft3NoNoNo4Pro & Farm1,563,000$1,201,661$880,833$0$0$No1,563,000$1,563,000$1,563,000$Lien
Cody McLeodRockets (MON)LW381984-06-26No204 Lbs6 ft2NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Damien GirouxRockets (MON)C222000-03-03No179 Lbs5 ft11NoNoNo1Pro & Farm850,000$653,494$850,000$0$0$NoLien
David HrenakRockets (MON)G241998-05-05No192 Lbs6 ft2NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Ilya KonovalovRockets (MON)G241998-07-13No194 Lbs6 ft0NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Jack RathboneRockets (MON)D231999-05-20No177 Lbs5 ft10NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Jayden HalbgewachsRockets (MON)LW251997-03-22No160 Lbs5 ft8NoNoNo1Pro & Farm997,000$766,510$650,000$0$0$NoLien
Josh BrookRockets (MON)D231999-06-17No182 Lbs6 ft1NoNoNo1Pro & Farm910,833$700,264$650,000$0$0$NoLien
Justin DowlingRockets (MON)C321990-10-01No180 Lbs5 ft10NoNoNo1Pro & Farm1,017,000$781,887$650,000$0$0$NoLien
Lassi ThomsonRockets (MON)D222000-09-24No190 Lbs6 ft0NoNoNo2Pro & Farm1,288,333$990,492$1,288,333$0$0$No1,288,333$Lien
Matias MaccelliRockets (MON)LW222000-10-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$No
Michael McLeodRockets (MON)C241998-02-03No190 Lbs6 ft2NoNoNo3Pro & Farm1,218,750$936,995$0$0$No1,218,750$1,218,750$Lien
Mikko KokkonenRockets (MON)D212001-01-18No198 Lbs5 ft11NoNoNo4Pro & Farm925,000$711,155$925,000$0$0$No925,000$925,000$925,000$Lien
Nolan FooteRockets (MON)LW212000-11-29No196 Lbs6 ft3NoNoNo2Pro & Farm863,333$663,745$863,333$0$0$No863,333$Lien
Olle Eriksson EkRockets (MON)G231999-06-22No189 Lbs6 ft3NoNoNo1Pro & Farm878,889$675,704$878,889$0$0$NoLien
Riley TufteRockets (MON)LW241998-04-10No220 Lbs6 ft6NoNoNo1Pro & Farm995,833$765,613$925,001$0$0$NoLien
Ryan McGregorRockets (MON)C231999-01-29No168 Lbs6 ft0NoNoNo2Pro & Farm803,633$617,846$803,633$0$0$No803,633$Lien
Ryan McLeodRockets (MON)C231999-09-21No207 Lbs6 ft2NoNoNo4Pro & Farm1,302,000$1,001,000$1,272,850$0$0$No1,302,000$1,302,000$1,302,000$Lien
Shane PintoRockets (MON)C222000-11-12No192 Lbs6 ft2NoNoNo2Pro & Farm1,325,000$1,018,682$1,325,000$0$0$No1,325,000$Lien
Teemu KivihalmeRockets (MON)D271995-06-14No181 Lbs6 ft0NoNoNo1Pro & Farm963,000$740,370$650,000$0$0$NoLien
Tim BerniRockets (MON)D222000-02-11No181 Lbs6 ft0NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Tobias BjornfotRockets (MON)D212001-04-06No200 Lbs6 ft0NoNoNo2Pro & Farm1,052,500$809,180$1,052,500$0$0$No1,052,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.92192 Lbs6 ft11.621,008,062$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan McLeodShane PintoCody McLeod34023
2Nolan FooteMichael McLeodBrett Leason30023
3Matias MaccelliJustin DowlingJayden Halbgewachs24122
4Riley TufteDamien GirouxMichael McLeod12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone36122
2Lassi ThomsonMikko Kokkonen34122
3Josh BrookTim Berni30122
4Tobias BjornfotJack Rathbone0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliShane PintoMichael McLeod50005
2Nolan FooteDamien GirouxBrett Leason50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone50014
2Lassi ThomsonMikko Kokkonen50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McLeodMatias Maccelli50041
2Shane PintoNolan Foote50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone50005
2Lassi ThomsonMikko Kokkonen50005
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael McLeod50005Tobias BjornfotJack Rathbone50005
2Shane Pinto50005Lassi ThomsonMikko Kokkonen50005
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane PintoMatias Maccelli50014
2Michael McLeodNolan Foote50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJack Rathbone50122
2Lassi ThomsonMikko Kokkonen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteShane PintoBrett LeasonTobias BjornfotJack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane PintoMichael McLeodBrett LeasonTobias BjornfotJack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Tufte, Michael McLeod, Damien GirouxCody McLeod, Michael McLeodDamien Giroux
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Brook, Tobias Bjornfot, Lassi ThomsonJosh BrookJack Rathbone, Lassi Thomson
Tirs de pénalité
Nolan Foote, Matias Maccelli, Michael McLeod, Jayden Halbgewachs, Justin Dowling
Gardien
#1 : Cayden Primeau, #2 : Adam Huska
Lignes d’attaque personnalisées en prolongation
Shane Pinto, Michael McLeod, Damien Giroux, Nolan Foote, Matias Maccelli, Brett Leason, Brett Leason, Justin Dowling, Riley Tufte, Jayden Halbgewachs, Cody McLeod
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
1Americans320000011712511000000422210000011310350.8331729460031252621392432372521010531267113430.77%13192.31%142278453.83%38169954.51%18935054.00%501346443148263135
2Binghamton Senateurs220000001073110000003211100000075241.0001015250031252628424323725210611917448450.00%6183.33%042278453.83%38169954.51%18935054.00%501346443148263135
3Checkers21001000734100010002111100000052341.000714210031252626324323725210551616388562.50%8275.00%042278453.83%38169954.51%18935054.00%501346443148263135
4Crunch2020000059-41010000012-11010000047-300.00059140031252626024323725210571716415120.00%7357.14%042278453.83%38169954.51%18935054.00%501346443148263135
5Griffins21100000880110000004221010000046-220.500813210031252628424323725210661614635120.00%5180.00%042278453.83%38169954.51%18935054.00%501346443148263135
6IceHogs10001000211100010002110000000000021.00022400312526228243237252104381027100.00%5180.00%042278453.83%38169954.51%18935054.00%501346443148263135
7Iowa Wild1010000014-3000000000001010000014-300.000123003125262232432372521037111621100.00%8275.00%042278453.83%38169954.51%18935054.00%501346443148263135
8Marlies22000000862110000004311100000043141.0008142200312526269243237252106120164815320.00%7185.71%042278453.83%38169954.51%18935054.00%501346443148263135
9Providence Bruins3300000015105110000006332200000097261.000152641003125262121243237252109228187217317.65%7185.71%042278453.83%38169954.51%18935054.00%501346443148263135
10Thunderbirds11000000606000000000001100000060621.00069150131252623324323725210308821200.00%40100.00%042278453.83%38169954.51%18935054.00%501346443148263135
11Wolves11000000532110000005320000000000021.0005914003125262352432372521037138205120.00%30100.00%042278453.83%38169954.51%18935054.00%501346443148263135
Total20134020018463219610200031191211730000153449310.7758414222601312526273924323725210644187165466802227.50%731382.19%142278453.83%38169954.51%18935054.00%501346443148263135
_Since Last GM Reset20134020018463219610200031191211730000153449310.7758414222601312526273924323725210644187165466802227.50%731382.19%142278453.83%38169954.51%18935054.00%501346443148263135
_Vs Conference1712301001755817861010002918119620000146406270.7947512920400312526265524323725210534160131397762228.95%561082.14%142278453.83%38169954.51%18935054.00%501346443148263135
_Vs Division161130100170551575101000241599620000146406250.7817012019000312526262024323725210497147123377712129.58%531081.13%142278453.83%38169954.51%18935054.00%501346443148263135

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2031W28414222673964418716546601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2013420018463
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96120003119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
117300015344
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
802227.50%731382.19%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
243237252103125262
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
42278453.83%38169954.51%18935054.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
501346443148263135


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 - 2022-10-165Americans2Rockets4BWSommaire du match
4 - 2022-10-1933Providence Bruins3Rockets6BWSommaire du match
5 - 2022-10-2040Rockets4Marlies3AWSommaire du match
8 - 2022-10-2357Rockets4Providence Bruins3AWSommaire du match
10 - 2022-10-2569Rockets4Crunch7ALSommaire du match
11 - 2022-10-2683Rockets4Griffins6ALSommaire du match
14 - 2022-10-2995Griffins2Rockets4BWSommaire du match
17 - 2022-11-01117Rockets7Binghamton Senateurs5AWSommaire du match
19 - 2022-11-03123Checkers1Rockets2BWXSommaire du match
21 - 2022-11-05137Rockets5Checkers2AWSommaire du match
23 - 2022-11-07152Rockets8Americans4AWSommaire du match
24 - 2022-11-08159Marlies3Rockets4BWSommaire du match
26 - 2022-11-10183Binghamton Senateurs2Rockets3BWSommaire du match
31 - 2022-11-15211Wolves3Rockets5BWSommaire du match
33 - 2022-11-17230Rockets6Thunderbirds0AWSommaire du match
36 - 2022-11-20242Crunch2Rockets1BLSommaire du match
37 - 2022-11-21253Rockets5Americans6ALXXSommaire du match
39 - 2022-11-23269Rockets1Iowa Wild4ALSommaire du match
40 - 2022-11-24281IceHogs1Rockets2BWXSommaire du match
43 - 2022-11-27298Rockets5Providence Bruins4AWSommaire du match
45 - 2022-11-29312Rockets-Americans-
47 - 2022-12-01319Firebirds-Rockets-
49 - 2022-12-03338Rockets-Checkers-
50 - 2022-12-04349Gulls-Rockets-
52 - 2022-12-06367Bears-Rockets-
58 - 2022-12-12397Rockets-Wolves-
59 - 2022-12-13405Rockets-Binghamton Senateurs-
61 - 2022-12-15418Wolves-Rockets-
63 - 2022-12-17435Rockets-Griffins-
64 - 2022-12-18444W-B/Scranton Penguins-Rockets-
66 - 2022-12-20466Rockets-Texas Stars-
68 - 2022-12-22477Comets-Rockets-
71 - 2022-12-25487Rockets-Marlies-
75 - 2022-12-29506Moose-Rockets-
78 - 2023-01-01532Rockets-Binghamton Senateurs-
80 - 2023-01-03540Crunch-Rockets-
84 - 2023-01-07569Crunch-Rockets-
86 - 2023-01-09584Rockets-Phantoms-
88 - 2023-01-11599Wolf Pack-Rockets-
90 - 2023-01-13611Rockets-Roadrunners-
91 - 2023-01-14623Rockets-Thunderbirds-
93 - 2023-01-16638Eagles-Rockets-
94 - 2023-01-17658Rockets-Iowa Wild-
97 - 2023-01-20667Americans-Rockets-
99 - 2023-01-22677Rockets-Monsters-
101 - 2023-01-24697Phantoms-Rockets-
102 - 2023-01-25710Rockets-Monsters-
104 - 2023-01-27731Monsters-Rockets-
106 - 2023-01-29748Rockets-Silver Knights-
107 - 2023-01-30761Americans-Rockets-
109 - 2023-02-01780Rockets-Comets-
111 - 2023-02-03788Rockets-Admirals-
112 - 2023-02-04799Marlies-Rockets-
115 - 2023-02-07820Rockets-islanders-
117 - 2023-02-09830islanders-Rockets-
120 - 2023-02-12843Rockets-Crunch-
122 - 2023-02-14860Marlies-Rockets-
123 - 2023-02-15873Rockets-Crunch-
127 - 2023-02-19894Providence Bruins-Rockets-
130 - 2023-02-22921Barracuda-Rockets-
131 - 2023-02-23935Rockets-Marlies-
133 - 2023-02-25948Rockets-Checkers-
136 - 2023-02-28960Wranglers-Rockets-
137 - 2023-03-01975Rockets-Providence Bruins-
139 - 2023-03-03990Wranglers-Rockets-
144 - 2023-03-081008Rockets-Griffins-
145 - 2023-03-091021Checkers-Rockets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131051Iowa Wild-Rockets-
152 - 2023-03-161079Providence Bruins-Rockets-
154 - 2023-03-181093Rockets-W-B/Scranton Penguins-
157 - 2023-03-211111Rockets-Reign-
158 - 2023-03-221118Canucks-Rockets-
162 - 2023-03-261144Checkers-Rockets-
166 - 2023-03-301175Canucks-Rockets-
170 - 2023-04-031197Binghamton Senateurs-Rockets-
171 - 2023-04-041211Rockets-Wolf Pack-
174 - 2023-04-071225Binghamton Senateurs-Rockets-
176 - 2023-04-091244Rockets-Reign-
178 - 2023-04-111258Griffins-Rockets-
179 - 2023-04-121262Rockets-Condors-
180 - 2023-04-131275Rockets-Bears-
184 - 2023-04-171300Griffins-Rockets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance13,1968,356
Assistance PCT73.31%92.84%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2395 - 79.82% 97,214$874,929$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
3,110,859$ 143 14,091$ 2,015,013$




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

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