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LHSRSM

Connexion

Rocket
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 22 | GA: 9 | PP%: 7.69% | PK%: 85.71%
DG: Mathieu Girard | Morale : 50 | Moyenne d’équipe : 63
Prochain matchs #84 vs Marlies
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Centre de jeu
Rocket
4-1-0, 8pts
2
FINAL
3 Americans
1-4-0, 2pts
Team Stats
W1StreakL1
2-0-0Home Record1-2-0
2-1-0Away Record0-2-0
4-1-0Last 10 Games1-4-0
4.40Goals Per Game2.60
1.80Goals Against Per Game4.80
7.69%Power Play Percentage14.29%
85.71%Penalty Kill Percentage88.89%
Thunderbirds
2-3-0, 4pts
1
FINAL
9 Rocket
4-1-0, 8pts
Team Stats
W1StreakW1
1-2-0Home Record2-0-0
1-1-0Away Record2-1-0
2-3-0Last 10 Games4-1-0
2.80Goals Per Game4.40
3.60Goals Against Per Game1.80
28.57%Power Play Percentage7.69%
78.57%Penalty Kill Percentage85.71%
Marlies
3-2-0, 6pts
2021-09-21
Rocket
4-1-0, 8pts
Statistiques d’équipe
W1SéquenceW1
1-1-0Fiche domicile2-0-0
2-1-0Fiche visiteur2-1-0
3-2-010 derniers matchs4-1-0
5.80Buts par match 4.40
3.20Buts contre par match 1.80
9.09%Pourcentage en avantage numérique7.69%
71.43%Pourcentage en désavantage numérique85.71%
Rocket
4-1-0, 8pts
2021-09-22
Griffins
0-5-0, 0pts
Statistiques d’équipe
W1SéquenceL5
2-0-0Fiche domicile0-3-0
2-1-0Fiche visiteur0-2-0
4-1-010 derniers matchs0-5-0
4.40Buts par match 0.80
1.80Buts contre par match 8.80
7.69%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique100.00%
Bruins
2-3-0, 4pts
2021-09-25
Rocket
4-1-0, 8pts
Statistiques d’équipe
L2SéquenceW1
1-1-0Fiche domicile2-0-0
1-2-0Fiche visiteur2-1-0
2-3-010 derniers matchs4-1-0
3.60Buts par match 4.40
2.80Buts contre par match 1.80
15.79%Pourcentage en avantage numérique7.69%
66.67%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Alex NewhookButs
Alex Newhook
1
Alex NewhookPasses
Alex Newhook
2
Alex NewhookPoints
Alex Newhook
3
Alex NewhookPlus/Moins
Alex Newhook
0
Cayden PrimeauVictoires
Cayden Primeau
4
Cayden PrimeauPourcentage d’arrêts
Cayden Primeau
0.933

Statistiques d’équipe
Buts pour
22
4.40 GFG
Tirs pour
245
49.00 Avg
Pourcentage en avantage numérique
7.7%
1 GF
Début de zone offensive
48.3%
Buts contre
9
1.80 GAA
Tirs contre
134
26.80 Avg
Pourcentage en désavantage numérique
85.7%
1 GA
Début de la zone défensive
32.2%
Information d’équipe

Directeur généralMathieu Girard
DivisionNord
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 250
Espoirs48


Historique d'équipe

Saison actuelle4-1-0 (8PTS)
Historique184-268-44 (0.371%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)14-11
Stanley Cup0


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
1Rasmus AsplundXXX100.00593592737279836978666370686764049660221925,000$
2Tom KuhnhacklXX100.00753595657869726158646374627773050660281850,000$
3Kieffer BellowsX100.008535926473838063596168596665640506502211,106,666$
4Morgan Barron (R)X100.007869726290837963766466676265630506502131,775,000$
5Connor McMichael (R)X100.00624878667279806978636557736266050640194894,167$
6Akil Thomas (R)X100.00613887676986916476626157686062050630193910,833$
7Alexander ChmelevskiXX100.00623987637082836676656162656362050630212927,500$
8Taro HiroseX100.00573594666384736759686158676965050630241825,000$
9Riley TufteX100.00908172589984895755565463546566050620222995,833$
10Vitaly AbramovXX100.00503384667077746757626356646567050620221880,000$
11Adam BoqvistX100.006635927468837672306861635562640436602021,744,167$
12Jonas SiegenthalerX100.00694682658684816430665883516768050660233800,000$
13Cal FooteX100.007555726592798663306458665265670506402111,425,000$
14Sami NikuX100.00605075697673796830676259546965050640242725,000$
15Kyle CapobiancoX100.00713789667776726330645958526764050630232775,000$
16Louie BelpedioX100.00813595617180756030595665496968050630241700,000$
Rayé
1Henrik BorgstromX100.005243846283797663796059566167640506102331,491,667$
2Matthew PhillipsXX100.00503595625977726471636255636566050610221750,000$
3Shane GersichX100.00614575597083885768565860576968050600242700,000$
4Pavel ShenX100.00653986567465705861575559566362050590212925,000$
5Kyle WoodX100.00905078549981865530545362466965050610241700,000$
6David QuennevilleX100.00574284566773795830575352466563050580221925,000$
MOYENNE D’ÉQUIPE100.0067448564767979635462606259666505063
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 Primeau100.0079868382787779787779786570050680212966,666$
2Artyom Zagidulin100.0072838176717072717072717376050640251700,000$
Rayé
1Zachary Sawchenko (R)100.0073807874727173727173726872050640222725,000$
MOYENNE D’ÉQUIPE100.007583817774737574737574697305065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jonas SiegenthalerRocket (MTL)D5268600113132715.38%1212424.900111900006000.00%000001.2900000010
2Rasmus AsplundRocket (MTL)C/LW/RW45389001122531120.00%38621.5600007000061063.89%10800011.8600000110
3Kyle CapobiancoRocket (MTL)D5066800112030.00%67214.440002100000000.00%000001.6600000010
4Adam BoqvistRocket (MTL)D41455004713147.69%39423.540000600005000.00%000001.0600000001
5Taro HiroseRocket (MTL)LW5325320141531020.00%07414.9600000000021060.00%500001.3400000001
6Tom KuhnhacklRocket (MTL)LW/RW523511001382031810.00%011623.2200027000060064.00%2500000.8600000010
7Alexander ChmelevskiRocket (MTL)C/RW513410005418495.56%09919.8000008000001055.56%900000.8100000100
8Morgan BarronRocket (MTL)C5134120121124444.17%17815.7400032000000059.60%9900001.0200000000
9Vitaly AbramovRocket (MTL)LW/RW5404-100172081420.00%110020.131013110000000100.00%800010.7900000100
10Alex NewhookCanadiensC4123000218206235.00%08721.8900017000040066.02%10300000.6900000001
11Cal FooteRocket (MTL)D5123-175206103610.00%210020.050002900004000.00%000000.6000001000
12Kieffer BellowsRocket (MTL)LW5033-120147324170.00%010521.01011411000030060.00%1000000.5700000000
13Connor McMichaelRocket (MTL)C50224006321370.00%07815.6900000000000070.59%3400000.5100000000
14Louie BelpedioRocket (MTL)D51128608521250.00%17114.370000000001100.00%000000.5600000000
15Riley TufteRocket (MTL)LW5011120003110.00%091.89000000000000100.00%100002.1200000000
16Akil ThomasRocket (MTL)C5000000242140.00%0224.4300002000000071.43%700000.0000000000
17David QuennevilleRocket (MTL)D1000-100000000.00%155.080000000000000.00%000000.0000000000
18Sami NikuRocket (MTL)D5000-120655460.00%410120.3000001000005000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne8322416361235107105245511468.98%34142717.2012318960000484064.55%40900020.8800001343
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 PrimeauRocket (MTL)54100.9331.812990091340000.000050101
Statistiques d’équipe totales ou en moyenne54100.9331.812990091340000.000050101


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 Plafond 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 BoqvistRocket (MTL)D202000-08-15No179 Lbs5 ft11NoNoNo2Pro & Farm1,744,167$0$0$No1,744,167$Lien / Lien NHL
Akil ThomasRocket (MTL)C192001-01-31Yes171 Lbs6 ft0NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien NHL
Alexander ChmelevskiRocket (MTL)C/RW211999-06-09No180 Lbs6 ft0NoNoNo2Pro & Farm927,500$0$0$No927,500$Lien / Lien NHL
Artyom ZagidulinRocket (MTL)G251995-08-08No180 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Cal FooteRocket (MTL)D211998-12-13No227 Lbs6 ft4NoNoNo1Pro & Farm1,425,000$0$0$NoLien / Lien NHL
Cayden PrimeauRocket (MTL)G211999-08-11No209 Lbs6 ft2NoNoNo2Pro & Farm966,666$0$0$No966,666$Lien / Lien NHL
Connor McMichaelRocket (MTL)C192001-01-15Yes183 Lbs6 ft0NoNoNo4Pro & Farm894,167$0$0$No863,333$863,333$863,333$Lien NHL
David QuennevilleRocket (MTL)D221998-03-13No189 Lbs5 ft8NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Henrik BorgstromRocket (MTL)C231997-08-06No199 Lbs6 ft3NoNoNo3Pro & Farm1,491,667$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Jonas SiegenthalerRocket (MTL)D231997-05-06No211 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No1,125,000$1,125,000$Lien / Lien NHL
Kieffer BellowsRocket (MTL)LW221998-06-10No195 Lbs6 ft0NoNoNo1Pro & Farm1,106,666$0$0$NoLien / Lien NHL
Kyle CapobiancoRocket (MTL)D231997-08-13No196 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien / Lien NHL
Kyle WoodRocket (MTL)D241996-05-04No235 Lbs6 ft7NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Louie BelpedioRocket (MTL)D241996-05-14No191 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matthew PhillipsRocket (MTL)C/RW221998-04-06No140 Lbs5 ft7NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Morgan BarronRocket (MTL)C211998-12-02Yes220 Lbs6 ft4NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien NHL
Pavel ShenRocket (MTL)C211999-08-14No183 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Rasmus AsplundRocket (MTL)C/LW/RW221997-12-03No189 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Riley TufteRocket (MTL)LW221998-04-10No235 Lbs6 ft6NoNoNo2Pro & Farm995,833$0$0$No995,833$Lien / Lien NHL
Sami NikuRocket (MTL)D241996-10-10No176 Lbs6 ft1NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Shane GersichRocket (MTL)LW241996-07-10No180 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No750,000$Lien / Lien NHL
Taro HiroseRocket (MTL)LW241996-06-30No162 Lbs5 ft10NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Tom KuhnhacklRocket (MTL)LW/RW281992-01-21No190 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Vitaly AbramovRocket (MTL)LW/RW221998-05-08No180 Lbs5 ft10NoNoNo1Pro & Farm880,000$0$0$NoLien / Lien NHL
Zachary SawchenkoRocket (MTL)G221997-12-30Yes185 Lbs6 ft1NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.36191 Lbs6 ft11.80965,700$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tom KuhnhacklRasmus AsplundAlexander Chmelevski40122
2Kieffer BellowsVitaly Abramov30122
3Taro HiroseMorgan BarronConnor McMichael20122
4Riley TufteConnor McMichaelTom Kuhnhackl10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerAdam Boqvist40122
2Sami NikuCal Foote30122
3Kyle CapobiancoLouie Belpedio20122
4Jonas SiegenthalerAdam Boqvist10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tom KuhnhacklRasmus AsplundAlexander Chmelevski60122
2Kieffer BellowsVitaly Abramov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerAdam Boqvist60122
2Sami NikuCal Foote40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tom KuhnhacklRasmus Asplund60122
2Kieffer Bellows40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerAdam Boqvist60122
2Sami NikuCal Foote40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tom Kuhnhackl60122Jonas SiegenthalerAdam Boqvist60122
2Rasmus Asplund40122Sami NikuCal Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tom KuhnhacklRasmus Asplund60122
2Kieffer Bellows40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerAdam Boqvist60122
2Sami NikuCal Foote40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tom KuhnhacklRasmus AsplundAlexander ChmelevskiJonas SiegenthalerAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tom KuhnhacklRasmus AsplundAlexander ChmelevskiJonas SiegenthalerAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Akil Thomas, Morgan Barron, Taro HiroseAkil Thomas, Morgan BarronTaro Hirose
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Capobianco, Louie Belpedio, Sami NikuKyle CapobiancoLouie Belpedio, Sami Niku
Tirs de pénalité
Tom Kuhnhackl, Rasmus Asplund, , Kieffer Bellows, Morgan Barron
Gardien
#1 : Cayden Primeau, #2 : Artyom Zagidulin


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
1Americans21100000862110000006331010000023-120.500814220091030127888671052131047100.00%40100.00%012421059.05%8714062.14%608570.59%137102102315931
2Crunch11000000211000000000001100000021121.0002460091030318886710296419200.00%20100.00%012421059.05%8714062.14%608570.59%137102102315931
3Senators11000000312000000000001100000031221.00035800910303688867102610723600.00%000.00%012421059.05%8714062.14%608570.59%137102102315931
4Thunderbirds11000000918110000009180000000000021.0009182700910305188867102752184125.00%110.00%012421059.05%8714062.14%608570.59%137102102315931
Total541000002291322000000154113210000075280.8002241630091030245888671013434231071317.69%7185.71%012421059.05%8714062.14%608570.59%137102102315931
_Since Last GM Reset541000002291322000000154113210000075280.8002241630091030245888671013434231071317.69%7185.71%012421059.05%8714062.14%608570.59%137102102315931
_Vs Conference541000002291322000000154113210000075280.8002241630091030245888671013434231071317.69%7185.71%012421059.05%8714062.14%608570.59%137102102315931
_Vs Division531000002291321000000154113210000075260.6002241630091030245888671013434231071317.69%7185.71%012421059.05%8714062.14%608570.59%137102102315931

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58W1224163245134342310700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5410000229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000154
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000075
Derniers 10 matchs
WLOTWOTL SOWSOL
410000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1317.69%7185.71%0
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
888671091030
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
12421059.05%8714062.14%608570.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
137102102315931


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 - 2021-09-114Americans3Rocket6BWSommaire du match
3 - 2021-09-1325Rocket3Senators1AWSommaire du match
5 - 2021-09-1539Rocket2Crunch1AWSommaire du match
6 - 2021-09-1651Rocket2Americans3ALSommaire du match
8 - 2021-09-1864Thunderbirds1Rocket9BWSommaire du match
11 - 2021-09-2184Marlies-Rocket-
12 - 2021-09-2298Rocket-Griffins-
15 - 2021-09-25118Bruins-Rocket-
18 - 2021-09-28144Griffins-Rocket-
19 - 2021-09-29155Rocket-Thunderbirds-
22 - 2021-10-02178Senators-Rocket-
24 - 2021-10-04193Crunch-Rocket-
28 - 2021-10-08221Rocket-Bruins-
29 - 2021-10-09224Rocket-Marlies-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,414,250$ 683,084$ 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$ 20 0$ 0$




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
Saison régulière
482283800493199234-354112210034199119-2041161700152100115-15811993275261207470462120069567073826167171266175456612321.73%4909580.61%11247272545.76%1105297737.12%481118640.56%2054142019336141001504
58266501253158390-232414310013281185-104412340112177205-12829158264422000635138207206656837024019118525516881965528.06%1023466.67%3625212429.43%821312526.27%332129625.62%14469982586587938403
68227600202163625-462411370020194310-216411390000169315-246816330646900068455024300830756822639618732061997133139.77%882472.73%0659214330.75%990371226.67%408149427.31%10887132962581884338
78235310811627322845412215040001421004241131604116131128395273507780240104907032250107410341075265577450619812355925.11%2314082.68%31923327358.75%1522285453.33%699128254.52%2187157717505611040544
8824525021453632301334121140112217411856412411010231891127710836366310260701511228437310125112291228276478348220501713621.05%1983681.82%61659315252.63%1329279347.58%702137251.17%229217221698514983515
98234330410102742704411818010041441301441161503106130140-10872744977713401047591297209649661013286681457419971994020.10%2174678.80%11478297049.76%1412295447.80%687132951.69%2088149218525661037529
Total Saison régulière49215026801511192914301977-54724678136067910734962-2282467213209410196961015-3194081430256439946170564453379165500547953385578213166146328911467150032621.73%132627579.26%1475911638746.32%71791841538.98%3309795941.58%11157792512783342658842835
Séries éliminatoires
7514000001722-5312000001010020200000712-521728451007461750605458196622613713215.38%11463.64%07916149.07%8819445.36%368243.90%12084118356433
820137000007362111091000003827111046000003535026731332060003023187540216228257742182133470651624.62%571770.18%144179155.75%38075750.20%16933350.75%533378478151264134
Total Séries éliminatoires251411000009084613103000004837111248000004247-528901612511003727249290276282315938244159607781823.08%682169.12%152095254.62%46895149.21%20541549.40%653463596186328168