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Connexion

Rocket
GP: 79 | W: 44 | L: 18 | OTL: 17 | P: 105
GF: 183 | GA: 162 | PP%: 32.10% | PK%: 74.75%
DG: Shaun Gerbinski | Morale : 59 | Moyenne d’équipe : 59
Prochains matchs #1219 vs Americans

Centre de jeu
Rocket
44-18-17, 105pts
1
7 Wild
64-12-2, 130pts
Team Stats
W1SéquenceW2
24-7-8Fiche domicile31-6-2
20-11-9Fiche domicile33-6-0
3-5-2Derniers 10 matchs8-1-1
2.32Buts par match 4.50
2.05Buts contre par match 2.42
32.10%Pourcentage en avantage numérique21.74%
74.75%Pourcentage en désavantage numérique78.20%
Rocket
44-18-17, 105pts
3
1 Crunch
23-38-15, 61pts
Team Stats
W1SéquenceL2
24-7-8Fiche domicile13-14-13
20-11-9Fiche domicile10-24-2
3-5-2Derniers 10 matchs3-4-3
2.32Buts par match 2.12
2.05Buts contre par match 2.97
32.10%Pourcentage en avantage numérique25.99%
74.75%Pourcentage en désavantage numérique69.31%
Rocket
44-18-17, 105pts
Jour 99
Americans
44-25-9, 97pts
Statistiques d’équipe
W1SéquenceW1
24-7-8Fiche domicile24-9-6
20-11-9Fiche visiteur20-16-3
3-5-210 derniers matchs8-2-0
2.32Buts par match 3.09
2.05Buts contre par match 3.09
32.10%Pourcentage en avantage numérique30.66%
74.75%Pourcentage en désavantage numérique70.83%
Comets
42-28-9, 93pts
Jour 101
Rocket
44-18-17, 105pts
Statistiques d’équipe
W6SéquenceW1
20-15-4Fiche domicile24-7-8
22-13-5Fiche visiteur20-11-9
7-3-010 derniers matchs3-5-2
2.16Buts par match 2.32
2.39Buts contre par match 2.32
33.33%Pourcentage en avantage numérique32.10%
67.54%Pourcentage en désavantage numérique74.75%
Islanders
39-25-15, 93pts
Jour 103
Rocket
44-18-17, 105pts
Statistiques d’équipe
W1SéquenceW1
20-10-9Fiche domicile24-7-8
19-15-6Fiche visiteur20-11-9
4-4-210 derniers matchs3-5-2
3.42Buts par match 2.32
3.18Buts contre par match 2.32
22.01%Pourcentage en avantage numérique32.10%
77.23%Pourcentage en désavantage numérique74.75%
Meneurs d'équipe
Buts
Hendrix Lapierre
31
Tyler PitlickPasses
Tyler Pitlick
30
Points
Hendrix Lapierre
54
Plus/Moins
William Dufour
7
Connor IngramVictoires
Connor Ingram
27
Ville HussoPourcentage d’arrêts
Ville Husso
0.897

Statistiques d’équipe
Buts pour
183
2.32 GFG
Tirs pour
1139
14.42 Avg
Pourcentage en avantage numérique
32.1%
52 GF
Début de zone offensive
35.5%
Buts contre
162
2.05 GAA
Tirs contre
1434
18.15 Avg
Pourcentage en désavantage numérique
74.7%%
25 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralShaun Gerbinski
EntraîneurScott Arniel
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,505
Billets de saison1,500


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 100
Espoirs80


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
1Marat Khusnutdinov (R)XXX96.006842928466629264646062732558586275650231925,000$
2Hendrix LapierreXX100.0062419685705575655279615725585960746502411,105,833$
3Rutger McGroarty (R)X100.0076748277768085625061606356464662756402231,417,000$
4Tyler PitlickXX100.007875836975737565806266636246486469630341999,000$
5Nicolas Aube-KubelX100.0083757680775456615655576825697060416203011,552,000$
6Ryan Winterton (R)XX100.008244957769578458435857632547475980610222828,333$
7Oskar Olausson (R)X100.007468887070747954504855605446465866580231894,167$
8William DufourX100.007679716781616354504856615447465776570241925,000$
9David Goyette (R)X100.0072668967686569526651495948464655725602231,277,000$
10Justin Ertel (R)X100.0073708364725455505051455945464652745402231,264,000$
11Sonny MilanoXX100.0078709980703533455037436642686951615403012,042,000$
12Logan Mailloux (R)X100.0077796871818086582550526249464657756302331,383,000$
13Travis DermottX100.0060419769735947612541477025697154636102911,460,000$
14Adam Engstrom (R)X100.0075738468757682522547426039464652776102231,310,000$
15Stian Solberg (R)X98.1480769464786061562545526450464657646002031,313,000$
16Jack AhcanX100.007063916863808755255440583948485373600281851,000$
17Topias VilenX100.0076728966736873502548386037454554435902331,274,000$
18Ronan SeeleyX100.007871986573768444253339603846465076590231837,500$
19Samuel KnazkoX100.007772926573677247253941603946465143580231902,500$
Rayé
1Dans Locmelis (R)X100.0054409982672850582548546325464656665502231,293,000$
2Ryan Greene (R)X100.0075659980654748445538446042444452195202231,264,000$
3Marc-Andre Gaudet (R)X100.0075747780743939412528395937444448185402231,269,000$
4Ben Meehan (R)X100.0077689980683230412528396037444449205302500$
MOYENNE D’ÉQUIPE99.75746589737260665441484962405050556159
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
1Connor Ingram100.006153538065607367706175585960766402931,000,000$
2Ville Husso100.005952538166547263695975606160826303111,771,000$
3Filip Larsson (R)100.005440507660635258656230444457775702711,000,000$
Rayé
1Chris Driedger100.004440508443435152474730444446225003111,282,000$
MOYENNE D’ÉQUIPE100.0055465280595562606357535252566459
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel44423938434337CAN541750,000$


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
1Hendrix LapierreRocket (MON)C/RW51312354-1204082125368324.80%15108721.336131920860001293246.70%379388120.9918000745
2Drake CaggiulaCanadiensLW54242650034107790127337318.90%25125323.211171819891011424147.46%1182025100.8036101454
3Tyler PitlickRocket (MON)C/RW79193049-118535138134130548614.62%17164120.786410181051012507158.80%4323625010.6028124633
4Ryan WintertonRocket (MON)C/RW79232043-77585115124387818.55%20158420.0661218221130112537339.68%3783423000.54212100556
5Marat KhusnutdinovRocket (MON)C/LW/RW39221840-140264897275322.68%1287022.321151626641011274146.67%1202723100.9212000643
6Rutger McGroartyRocket (MON)RW50121931-85115876364267018.75%13107621.52461015680001123136.73%983120000.5834102521
7Logan MaillouxRocket (MON)D6822325-49125131874621314.35%60173025.4526861150110590050.00%42135000.2900014010
8Travis DermottRocket (MON)D7112223600211135022212.00%58160622.631892115000378010%01029000.2900000113
9Nicolas Aube-KubelRocket (MON)RW4681220-94830677847172417.02%1582117.8600000000001448.81%6291210010.4900222122
10David GoyetteRocket (MON)C7051419040599138132313.16%8108115.45022551000290147.37%266129000.3529000012
11Sonny MilanoRocket (MON)LW/RW74671305544482591424.00%127129.632022380001220060.00%2069000.3602010021
12Adam EngstromRocket (MON)D793710-4175506829131410.34%30136617.29101656011032100%0717000.1500001021
13Jack AhcanRocket (MON)D79099-1110069832511110%39165320.93022170000057000%01122000.1100000000
14Stian SolbergRocket (MON)D79088-121156287418120%28150619.07011068000255000%01135000.1101102000
15William DufourRocket (MON)RW7452771356648285917.86%388611.98000124000001066.67%12710000.1602001101
16Oskar OlaussonRocket (MON)RW763361207758324149.38%7102213.46022237000030040.00%25128000.1211000030
17Justin ErtelRocket (MON)LW79145-86062682312134.35%16111114.070000100003381026.67%15109000.0916000001
18Dans LocmelisRocket (MON)C71213500628245118.33%23925.53000110000010026.14%8893000.1500000000
19Ronan SeeleyRocket (MON)D790220555187239120%33139917.71000458000020000%0617000.0300100000
20Samuel KnazkoRocket (MON)D5310100015733133.33%32905.4800001000040020.00%514000.0700000001
21Topias VilenRocket (MON)D53011100400010%1841.600000000001000%101000.2400000000
22Ryan GreeneRocket (MON)C18000000100010%0221.2800000000000033.33%30000000000000
23Marc-Andre GaudetRocket (MON)D2000000000000%000.100000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1423168251419-4540515512381483110136665515.26%4172320416.315068118150118833619600321547.17%2593321342340.3616618617363534
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
1Connor IngramRocket (MON)492711110.8931.94299521097910503210.85441490732
2Ville HussoRocket (MON)3017760.8971.7518180753514291120.74127300221
3Filip LarssonRocket (MON)10000.8572.5024001720000068000
Statistiques d’équipe totales ou en moyenne804418170.8941.874838217151143179633687968953


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam EngstromRocket (MON)D222003-11-17SWEYes198 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,310,000$163,750$0$0$No1,310,000$1,310,000$-------1,310,000$1,310,000$-------NoNo-------Lien
Ben MeehanRocket (MON)D252001-04-20USAYes188 Lbs6 ft0NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Chris DriedgerRocket (MON)G311994-05-18MBNo205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,282,000$160,250$0$0$No---------------------------Lien / Lien NHL
Connor IngramRocket (MON)G291997-03-31CANNo218 Lbs6 ft1NoNoFree Agent2025-01-28NoNo32025-11-18FalseFalsePro & Farm1,000,000$125,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dans LocmelisRocket (MON)C222004-01-21LATYes177 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,293,000$161,625$0$0$No1,293,000$1,293,000$-------1,293,000$1,293,000$-------NoNo-------Lien
David GoyetteRocket (MON)C222004-03-27CANYes182 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$159,625$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Filip LarssonRocket (MON)G271998-08-17SWEYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$125,000$0$0$No---------------------------Lien
Hendrix LapierreRocket (MON)C/RW242002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,105,833$138,229$0$0$No---------------------------Lien
Jack AhcanRocket (MON)D281997-05-18USANo180 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm851,000$106,375$0$0$No---------------------------Lien
Justin ErtelRocket (MON)LW222003-05-27CANYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,264,000$158,000$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Logan MaillouxRocket (MON)D232003-04-15CANYes213 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,383,000$172,875$0$0$No1,383,000$1,383,000$-------1,383,000$1,383,000$-------NoNo-------Lien
Marat KhusnutdinovRocket (MON)C/LW/RW232002-07-17RUSYes176 Lbs5 ft11NoNoTrade2025-02-19NoNo1FalseFalsePro & Farm925,000$115,625$0$0$No---------------------------Lien
Marc-Andre GaudetRocket (MON)D222003-10-24CANYes195 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,269,000$158,625$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Nicolas Aube-KubelRocket (MON)RW301996-05-10CANNo213 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm1,552,000$194,000$0$0$No---------------------------Lien / Lien NHL
Oskar OlaussonRocket (MON)RW232002-11-10SWEYes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm894,167$111,771$0$0$No---------------------------Lien
Ronan SeeleyRocket (MON)D232002-08-02CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm837,500$104,688$0$0$No---------------------------Lien
Rutger McGroartyRocket (MON)RW222004-03-30USAYes203 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,417,000$177,125$0$0$No1,417,000$1,417,000$-------1,417,000$1,417,000$-------NoNo-------Lien
Ryan GreeneRocket (MON)C222003-10-21CANYes174 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,264,000$158,000$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Ryan WintertonRocket (MON)C/RW222003-09-04CANYes175 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm828,333$103,542$0$0$No828,333$--------828,333$--------No--------Lien
Samuel KnazkoRocket (MON)D232002-08-07SVKNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$112,812$0$0$No---------------------------Lien
Sonny MilanoRocket (MON)LW/RW301996-05-12USANo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,042,000$255,250$0$0$No---------------------------Lien / Lien NHL
Stian SolbergRocket (MON)D202005-12-29NORYes205 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,313,000$164,125$0$0$No1,313,000$1,313,000$-------1,313,000$1,313,000$-------NoNo-------Lien
Topias VilenRocket (MON)D232003-04-01FINNo195 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,274,000$159,250$0$0$No1,274,000$1,274,000$-------1,274,000$1,274,000$-------NoNo-------Lien
Travis DermottRocket (MON)D291996-12-22CANNo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,460,000$182,500$0$0$No---------------------------Lien / Lien NHL
Tyler PitlickRocket (MON)C/RW341991-11-01USANo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm999,000$124,875$0$0$No---------------------------Lien / Lien NHL
Ville HussoRocket (MON)G311995-02-06FINNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,771,000$221,375$0$0$No---------------------------Lien / Lien NHL
William DufourRocket (MON)RW242002-01-28CANNo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$115,625$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.04194 Lbs6 ft11.811,164,420$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marat KhusnutdinovNicolas Aube-KubelRutger McGroarty45014
2Oskar OlaussonRyan WintertonTyler Pitlick28122
3Justin ErtelTyler PitlickRyan Winterton20131
4David GoyetteTyler PitlickRyan Winterton7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam EngstromRonan Seeley46131
2Jack AhcanLogan Mailloux27131
3Adam EngstromRonan Seeley17131
4Jack AhcanAdam Engstrom10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David GoyetteRyan WintertonMarat Khusnutdinov60122
2Oskar OlaussonRutger McGroartyTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam EngstromRonan Seeley60122
2Jack AhcanLogan Mailloux40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickRyan Winterton60122
2Rutger McGroartyMarat Khusnutdinov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam EngstromRonan Seeley60122
2Jack AhcanLogan Mailloux40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Pitlick60122Ronan SeeleyAdam Engstrom60122
2Ryan Winterton40122Jack AhcanStian Solberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickRyan Winterton60122
2Marat KhusnutdinovRutger McGroarty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam EngstromRonan Seeley60122
2Jack AhcanTravis Dermott40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rutger McGroartyTyler PitlickMarat KhusnutdinovJack AhcanAdam Engstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rutger McGroartyTyler PitlickMarat KhusnutdinovJack AhcanAdam Engstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Pitlick, Ryan Winterton, David GoyetteTyler Pitlick, Ryan WintertonTyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Ahcan, Adam Engstrom, Ronan SeeleyAdam EngstromJack Ahcan, Adam Engstrom
Tirs de pénalité
David Goyette, Ryan Winterton, Justin Ertel, Tyler Pitlick, Marat Khusnutdinov
Gardien
#1 : Ville Husso, #2 : Filip Larsson


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
1Admirals21000100312110000003031000010001-130.75034701286771222222341347692213440300.00%20100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
2Americans1000000178-11000000178-10000000000010.500711180028677122342234134769237482011100.00%40100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
3Barracuda5130100079-23020100034-12110000045-140.4007111811286771226422341347692972332728112.50%6266.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
4Bears21000100431110000002021000010023-130.750471101286771222022341347692321483422100.00%4175.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
5Bruins1000000134-11000000134-10000000000010.5003580028677122122234134769210322411100.00%10100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
6Canucks31000110642210001004311000001021150.8336814002867712248223413476925712145511327.27%2150.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
7Checkers30002010743200010105321000100021161.000781500286771223522341347692461314452150.00%2150.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
8Comets4120000169-3211000004402010000125-330.3756814002867712245223413476926312168317529.41%3166.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
9Condors2110000023-1110000002021010000003-320.50022401286771221122341347692325430000%2150.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
10Crunch211000004401010000013-21100000031220.5004711002867712215223413476922813372533100.00%6266.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
11Eagles21000010202100000101011100000010141.000213022867712223223413476922476232150.00%30100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
12Griffins411000201174100000105413110001063360.75011142500286771224522341347692611228817228.57%4175.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
13Gulls10000010321100000103210000000000021.000336002867712210223413476921544112150.00%2150.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
14Heat21000001541110000004221000000112-130.75057120028677122362234134769239813245480.00%4250.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
15IceHogs5110012011922010010047-33100002072570.700111526022867712279223413476928224308314214.29%5180.00%145498546.09%540106250.85%36572550.34%1361471141388420681043
16Islanders21000010853100000103211100000053241.000814220028677122432234134769258144288337.50%20100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
17Marlies210001004311000010023-11100000020230.75047110128677122282234134769216132273266.67%10100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
18Monsters620021019632000100111042001100853100.83391120012867712264223413476926624610010550.00%3166.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
19Moose21000100330110000002111000010012-130.7503470028677122252234134769224132365120.00%10100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
20Penguins200010014401000000101-11000100043130.7504711002867712226223413476923113732400.00%10100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
21Phantoms11000000202000000000001100000020221.00023501286771221122341347692710143266.67%000%045498546.09%540106250.85%36572550.34%1361471141388420681043
22Reign20200000511-61010000036-31010000025-300.000581300286771222522341347692551112195120.00%6266.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
23Roadrunners2010001056-1100000103211010000024-220.50056111028677122262234134769269151227500.00%10100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
24Senators53000101231763300000016882000010179-280.80023376000286771221082234134769213851248414535.71%7271.43%145498546.09%540106250.85%36572550.34%1361471141388420681043
25Silver Knights2110000034-1110000003211010000002-220.50035800286771223622341347692361134274125.00%7271.43%045498546.09%540106250.85%36572550.34%1361471141388420681043
26Stars2110000045-1110000002111010000024-220.50046101028677122262234134769235226302150.00%30100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
27Thunderbirds30200001712-51000000134-12020000048-410.167710170028677122762234134769211429175110220.00%6266.67%045498546.09%540106250.85%36572550.34%1361471141388420681043
28Wild20200000211-91010000014-31010000017-600.0002350028677122462234134769278281135400.00%30100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
29Wolf Pack2200000012111110000004041100000081741.00012223401286771223722341347692178927300.00%20100.00%045498546.09%540106250.85%36572550.34%1361471141388420681043
30Wolves530001101138220000004043100011073490.90011152603286771226322341347692461547944250.00%6266.67%145498546.09%540106250.85%36572550.34%1361471141388420681043
Total79271806911818316221391570336598791940121103653858321050.66518326945231528677122113922341347692143442541312811625232.10%992574.75%345498546.09%540106250.85%36572550.34%1361471141388420681043
_Since Last GM Reset79271806911818316221391570336598791940121103653858321050.66518326945231528677122113922341347692143442541312811625232.10%992574.75%345498546.09%540106250.85%36572550.34%1361471141388420681043
_Vs Conference451711035541028616231060221253421122750134249445590.656102152254192867712263822341347692765233270750952930.53%551670.91%345498546.09%540106250.85%36572550.34%1361471141388420681043
_Vs Division20116034333747-1096402101191901152013321828-10411.0253749862528677122323223413476924471418832545715.56%24387.50%145498546.09%540106250.85%36572550.34%1361471141388420681043

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
79105W1183269452113914344254131281315
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
79271869118183162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3915733659879
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
40121136538583
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1625232.10%992574.75%3
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
2234134769228677122
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
45498546.09%540106250.85%36572550.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1361471141388420681043


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
16Rocket2Monsters1WXSommaire du match
221Monsters1Rocket0LXXSommaire du match
434Rocket0Griffins1LSommaire du match
552Barracuda0Rocket1WXSommaire du match
667Rocket3IceHogs2WXXSommaire du match
770Rocket0Monsters1LXSommaire du match
885Rocket0Wolves1LXSommaire du match
993Comets2Rocket3WSommaire du match
11121Senators3Rocket6WSommaire du match
13144Canucks2Rocket1LXSommaire du match
14161Senators3Rocket4WSommaire du match
15170Rocket4Monsters2WSommaire du match
16189Rocket3Wolves2WXXSommaire du match
17205Wolves0Rocket1WSommaire du match
18221Rocket1IceHogs0WXXSommaire du match
19235Rocket2Thunderbirds3LSommaire du match
20246Checkers2Rocket3WXSommaire du match
22259Rocket4Senators5LXSommaire du match
24278Canucks1Rocket3WSommaire du match
25291Rocket4Wolves0WSommaire du match
27309Americans8Rocket7LXXSommaire du match
28324Rocket0Silver Knights2LSommaire du match
29338Bruins4Rocket3LXXSommaire du match
30353Rocket0Admirals1LXSommaire du match
31369Eagles0Rocket1WXXSommaire du match
32380Rocket8Wolf Pack1WSommaire du match
33399Moose1Rocket2WSommaire du match
34417Rocket2Thunderbirds5LSommaire du match
35430Rocket5Islanders3WSommaire du match
36438Wolves0Rocket3WSommaire du match
37458Rocket2Monsters1WSommaire du match
38465Roadrunners2Rocket3WXXSommaire du match
40491Rocket0Condors3LSommaire du match
41500Barracuda1Rocket0LSommaire du match
42521Rocket3IceHogs0WSommaire du match
43531Wild4Rocket1LSommaire du match
44553Islanders2Rocket3WXXSommaire du match
45571Crunch3Rocket1LSommaire du match
46583Rocket2Roadrunners4LSommaire du match
47600Wolf Pack0Rocket4WSommaire du match
48616Rocket1Moose2LXSommaire du match
49630Condors0Rocket2WSommaire du match
50643Rocket2Bears3LXSommaire du match
51659Rocket4Penguins3WXSommaire du match
53675Reign6Rocket3LSommaire du match
54690Rocket2Checkers1WXSommaire du match
55704Rocket2Reign5LSommaire du match
56713Marlies3Rocket2LXSommaire du match
57734Rocket2Canucks1WXXSommaire du match
58743Griffins4Rocket5WXXSommaire du match
60767Bears0Rocket2WSommaire du match
62789Rocket2Phantoms0WSommaire du match
64805Barracuda3Rocket2LSommaire du match
65818Rocket2Marlies0WSommaire du match
66831Senators2Rocket6WSommaire du match
68854Rocket3Barracuda2WSommaire du match
69866Gulls2Rocket3WXXSommaire du match
70889Rocket1Barracuda3LSommaire du match
71896Silver Knights2Rocket3WSommaire du match
73915Monsters0Rocket1WXSommaire du match
74932Rocket1Eagles0WSommaire du match
75941Rocket3Senators4LXXSommaire du match
77959Penguins1Rocket0LXXSommaire du match
79979Checkers1Rocket2WXXSommaire du match
80996Rocket2Griffins1WXXSommaire du match
811005Rocket1Heat2LXXSommaire du match
821020Stars1Rocket2WSommaire du match
841042Rocket1Comets2LXXSommaire du match
851052Admirals0Rocket3WSommaire du match
861068Rocket4Griffins1WSommaire du match
871079Heat2Rocket4WSommaire du match
901106Thunderbirds4Rocket3LXXSommaire du match
911125IceHogs3Rocket1LSommaire du match
921137Rocket1Comets3LSommaire du match
931155Comets2Rocket1LSommaire du match
951170Rocket2Stars4LSommaire du match
961187IceHogs4Rocket3LXSommaire du match
971193Rocket1Wild7LSommaire du match
981210Rocket3Crunch1WSommaire du match
991219Rocket-Americans-
1011235Comets-Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1031259Islanders-Rocket-
1041268Rocket-Bruins-
1071294Admirals-Rocket-
1091312Phantoms-Rocket-
1101322Rocket-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2620
Assistance75,44822,237
Assistance PCT96.73%57.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 2505 - 83.49% 91,936$3,585,519$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,357,674$ 3,143,933$ 3,143,933$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
28,071$ 2,701,415$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
367,746$ 14 34,767$ 486,738$




Rocket Leaders statistiques des joueurs (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

Rocket 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

Rocket 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

Rocket Leaders statistiques des joueurs (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

Rocket 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