Connexion

Rocket
GP: 80 | W: 47 | L: 29 | OTL: 4 | P: 98
GF: 341 | GA: 333 | PP%: 24.29% | PK%: 78.25%
DG: Pierre-Olivier Lévesque | Morale : 59 | Moyenne d’équipe : 65
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Rocket
47-29-4, 98pts
4
FINAL
3 Icehogs
40-32-8, 88pts
Team Stats
L1StreakW1
25-14-1Home Record15-19-6
22-15-3Away Record25-13-2
6-3-1Last 10 Games7-1-2
4.26Buts par match 4.05
4.16Buts contre par match 3.89
24.29%Pourcentage en avantage numérique20.54%
78.25%Pourcentage en désavantage numérique77.91%
Rocket
47-29-4, 98pts
5
FINAL
6 Reign
42-34-4, 88pts
Team Stats
L1StreakW1
25-14-1Home Record22-16-2
22-15-3Away Record20-18-2
6-3-1Last 10 Games5-5-0
4.26Buts par match 4.21
4.16Buts contre par match 3.93
24.29%Pourcentage en avantage numérique24.53%
78.25%Pourcentage en désavantage numérique81.17%
Meneurs d'équipe
Buts
Mattias Tedenby
56
Passes
Corey Trivino
67
Points
Mattias Tedenby
118
Plus/Moins
Corey Trivino
23
Victoires
Igor Shesterkin
40
Pourcentage d’arrêts
Sami Aittokallio
0.881

Statistiques d’équipe
Buts pour
341
4.26 GFG
Tirs pour
2617
32.71 Avg
Pourcentage en avantage numérique
24.3%
86 GF
Début de zone offensive
36.4%
Buts contre
333
4.16 GAA
Tirs contre
2574
32.18 Avg
Pourcentage en désavantage numérique
78.2%
67 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralPierre-Olivier Lévesque
EntraîneurRick Tocchet
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,816
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 250
Espoirs0


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
1Corey Trivino (R)X100.007442817073747774746675677563513369710261950,000$
2Mattias TedenbyX100.006928798274797575677673597860543479710261950,000$
3Brandon PirriX100.007229747275757373737078617255493680700251900,000$
4Adrian Kempe (R)X100.006624737868777479727572597349465779690201950,000$
5Danton Heinen (R)X100.006534756962718177827776526151456879690201950,000$
6Peter Holland (R)X100.007539817172686774737568626754503579690251750,000$
7Jiri Sekac (R)X100.007127767369747571747669596550484075680241900,000$
8Dominic Turgeon (R)X100.005636886065766560667161725842435559650202700,000$
9Sergey Tolchinsky (R)X100.006821777261666075616966666543435222650211700,000$
10Ty Rattie (R)X100.005826676964617065646277486747474579630231550,000$
11Mason Appleton (R)X100.004636786761606661757267485042426235610201500,000$
12Kole Sherwood (R)X100.008041635967517761496161554741416379590192500,000$
13Dean Kukan (R)X100.006243866473676961417047854756504363690231500,000$
14Viktor Loov (R)X100.007042787069737565527767705863514075690241950,000$
15Andrey Pedan (R)X100.007956677276577563486255715549474479680231800,000$
16Andrei Mironov (R)X100.006345857162636562577462696252465179660221750,000$
17Adam Fox (R)X100.005635738051587082307652714040408356650182500,000$
18Jack Glover (R)X100.006341807067676867575670615945436320640201650,000$
Rayé
1Jakub Vrana (R)X95.496438706862717068706371667243435768650201650,000$
2Karson Kuhlman (R)X100.007249695975567665586672595245495325640212500,000$
3Branden Troock (R)X100.005741736760576260635759525744443522580221300,000$
4Luke Kunin (R)X100.006934686368476868455763495441435920580192500,000$
5Daniel Sprong (R)X100.004937726268676155565269376741416120570191500,000$
6Mikhail Maltsev (R)X100.006645606574466363435655534440408020560182500,000$
7Dylan DeMelo (R)X100.006524827770686973487460675746454320680233700,000$
8Luca Sbisa (R)X100.006326717368756176447961735456513337680261675,000$
9Tyler Lewington (R)X100.006123807170715861345751694645443719630221500,000$
10Guillaume Brisebois (R)X100.006344766066585757406045635041416420600191500,000$
11Ryan Collins (R)X100.005132625761595955426352594942425319560201250,000$
MOYENNE D’ÉQUIPE99.84653675696765686757676461594845515165
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
1Igor Shesterkin100.00726783646377856666816647436480710203850,000$
2Sami Aittokallio100.00607067635970717666656447483453660242500,000$
Rayé
MOYENNE D’ÉQUIPE100.0066697564617478716673654746496769
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet71647369344958USA413500,000$


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
1Mattias TedenbyRocket (Mon)RW805662118-34001219032510219217.23%34160620.08122234342550003937348.02%2278533041.4718000956
2Corey TrivinoRocket (Mon)C784567112232351311552176312620.74%34159020.391528434229101113924355.25%21322830021.41781006811
3Adrian KempeRocket (Mon)LW8038651039635151982829219213.48%23148718.60152035482811124905245.45%997223011.38120003114
4Danton HeinenRocket (Mon)RW803852909440143802486815715.32%28138217.291620365228200001510451.28%784718001.3012000537
5Brandon PirriRocket (Mon)LW80344680-13720131842466016113.82%25156919.62101626362591121582253.04%1154923001.0225000545
6Peter HollandRocket (Mon)C79243559-191601301271755910213.71%25130216.4941115192311012333053.46%11433015010.9100000432
7Adam FoxRocket (Mon)D76104151-168809312113551697.41%93177223.323101326291000165100.00%03356100.5811000122
8Viktor LoovRocket (Mon)D8093443-1581013316212347487.32%122208126.024812243290003196000.00%04472000.4100011002
9Jiri SekacRocket (Mon)LW67171633-181408938136507812.50%2477411.560000110116641146.43%284114100.8500000110
10Dominic TurgeonRocket (Mon)C74101929-9005010676204213.16%2999813.5002201712332201047.11%726520000.5800000001
11Luca SbisaRocket (Mon)D6091827-113206810787323810.34%76132322.074610121720224182010.00%03129000.4100000000
12Andrei MironovRocket (Mon)D7932326-10115641206933344.35%69157219.9112351270113208000.00%01956000.3300001010
13Andrey PedanRocket (Mon)D7642024-39810121696441336.25%63145719.1725752060112136010.00%0939000.3300101010
14Jakub VranaRocket (Mon)LW5481321-220056449536528.42%2054410.09101150007840052.63%19227100.7700000100
15Dean KukanRocket (Mon)D70316194100401045325185.66%63112116.022133260002172300.00%0742000.3400000000
16Ty RattieRocket (Mon)RW806915-2432073409936716.06%1388911.1200001201161131031.82%222710000.3400000101
17Dylan DeMeloRocket (Mon)D471131416029564923222.04%5082417.540335630114109000.00%0829000.3400000000
18Karson KuhlmanRocket (Mon)C4610414-6100432967163614.93%94329.40000000001602149.45%182108010.6500000100
19Kole SherwoodRocket (Mon)RW806814-63201014033152118.18%126808.5000000000001150.00%16312000.4100000000
20Mason AppletonRocket (Mon)C455813-200213443154011.63%94449.870110112023591052.05%21949000.5900000000
21Sergey TolchinskyRocket (Mon)LW406410-960312256234610.71%73017.5300000000010033.33%6123000.6600000001
22Jack GloverRocket (Mon)D39167-410020272414154.17%3161615.80000024000186000.00%0317000.2300000000
23Guillaume BriseboisRocket (Mon)D2022100211100.00%12311.870110100000000.00%000001.6900000000
24Tyler LewingtonRocket (Mon)D2011300030000.00%2147.340000000000000.00%001001.3600000000
25Daniel SprongRocket (Mon)RW3000-200100000.00%0175.960000100003000.00%000000.0000000000
26Luke KuninRocket (Mon)C2000000000000.00%010.580000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne1499343582925-10868535184217572703922159312.69%8622483116.5789156245312290461218692148421952.46%5013589566390.751326213373942
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
1Igor ShesterkinRocket (Mon)69402030.8684.113763202581954930600.579196713333
2Sami AittokallioRocket (Mon)4119940.8813.752114001321107591010.500183334210
Statistiques d’équipe totales ou en moyenne110592970.8733.9858772039030611521610.5413710047543


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 restantPlafond 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 FoxRocket (Mon)D181998-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Adrian KempeRocket (Mon)LW201996-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Andrei MironovRocket (Mon)D221994-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Andrey PedanRocket (Mon)D231993-01-01Yes213 Lbs6 ft5NoNoNo1Pro & Farm800,000$0$0$No
Branden TroockRocket (Mon)RW221994-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Brandon PirriRocket (Mon)LW251991-01-01No183 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
Corey TrivinoRocket (Mon)C261990-01-01Yes170 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Daniel SprongRocket (Mon)RW191997-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Danton HeinenRocket (Mon)RW201996-01-01Yes188 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Dean KukanRocket (Mon)D231993-01-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Dominic TurgeonRocket (Mon)C201996-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$
Dylan DeMeloRocket (Mon)D231993-01-01Yes195 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Guillaume BriseboisRocket (Mon)D191997-01-01Yes175 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Igor ShesterkinRocket (Mon)G201996-01-01No187 Lbs6 ft1NoNoNo3Pro & Farm850,000$0$0$No950,000$1,400,000$
Jack GloverRocket (Mon)D201996-01-01Yes198 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Jakub VranaRocket (Mon)LW201996-01-01Yes197 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Jiri SekacRocket (Mon)LW241992-01-01Yes195 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Karson KuhlmanRocket (Mon)C211995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kole SherwoodRocket (Mon)RW191997-01-01Yes212 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Luca SbisaRocket (Mon)D261990-01-01Yes207 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$No
Luke KuninRocket (Mon)C191997-01-01Yes192 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mason AppletonRocket (Mon)C201996-01-01Yes193 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Mattias TedenbyRocket (Mon)RW261990-01-01No175 Lbs5 ft10NoNoNo1Pro & Farm950,000$0$0$No
Mikhail MaltsevRocket (Mon)LW181998-01-01Yes220 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Peter HollandRocket (Mon)C251991-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Ryan CollinsRocket (Mon)D201996-01-01Yes204 Lbs6 ft5NoNoNo1Pro & Farm250,000$0$0$No
Sami AittokallioRocket (Mon)G241992-01-01No185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sergey TolchinskyRocket (Mon)LW211995-01-01Yes185 Lbs5 ft7NoNoNo1Pro & Farm700,000$0$0$No
Ty RattieRocket (Mon)RW231993-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$No
Tyler LewingtonRocket (Mon)D221994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Viktor LoovRocket (Mon)D241992-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3121.68192 Lbs6 ft11.35657,258$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon PirriCorey TrivinoMattias Tedenby40122
2Adrian KempePeter HollandDanton Heinen30122
3Jiri SekacDominic TurgeonKole Sherwood20122
4Sergey TolchinskyMason AppletonTy Rattie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor LoovDean Kukan40122
2Andrey PedanAndrei Mironov30122
3Jack GloverAdam Fox20122
4Viktor LoovAdam Fox10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon PirriCorey TrivinoMattias Tedenby60014
2Adrian KempePeter HollandDanton Heinen40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor LoovAdam Fox60014
2Andrey PedanAndrei Mironov40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonJiri Sekac60041
2Mason AppletonTy Rattie40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor LoovDean Kukan60050
2Andrey PedanAndrei Mironov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Turgeon60050Andrei MironovAndrey Pedan60050
2Corey Trivino40050Jack GloverViktor Loov40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mattias TedenbyCorey Trivino60023
2Brandon PirriAdrian Kempe40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor LoovAdam Fox60023
2Andrey PedanJack Glover40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon PirriCorey TrivinoMattias TedenbyViktor LoovAdam Fox
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon PirriCorey TrivinoMattias TedenbyAndrei MironovDean Kukan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Danton Heinen, Adrian Kempe, Mattias TedenbyMattias Tedenby, Danton HeinenDominic Turgeon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Loov, Adam Fox, Andrey PedanAdam FoxJack Glover, Andrey Pedan
Tirs de pénalité
Mattias Tedenby, Corey Trivino, Brandon Pirri, Adrian Kempe, Danton Heinen
Gardien
#1 : Igor Shesterkin, #2 : Sami Aittokallio


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
1Admirals311000101415-12100001011921010000036-340.6671424380090117122199889381788548973822657228.57%11463.64%1939181951.62%953181852.42%731136353.63%171494716747581464735
2Barracuda632010002527-2311010001314-1321000001213-180.66725436800901171221919689381788548175525815025832.00%29389.66%1939181951.62%953181852.42%731136353.63%171494716747581464735
3Bears211000008801010000026-41100000062420.50081422009011712219678938178854868228527342.86%4175.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
4Comets412000101822-4311000101416-21010000046-240.5001830480090117122191128938178854814144267918316.67%13284.62%1939181951.62%953181852.42%731136353.63%171494716747581464735
5Condors63200001261793120000068-2320000012091170.58326447000901171221919889381788548192576911341819.51%26292.31%0939181951.62%953181852.42%731136353.63%171494716747581464735
6Crunch20000011111101000000145-11000001076130.7501116270090117122197289381788548561514479444.44%7357.14%0939181951.62%953181852.42%731136353.63%171494716747581464735
7Devils311010001712520101000910-11100000082640.6671724410090117122199989381788548912620741119.09%10370.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
8Eagles2110000089-11010000026-41100000063320.500814220090117122196189381788548743210425120.00%5260.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
9Griffins6320100024231311010001314-132100000119280.66724396300901171221918289381788548187486015328621.43%25772.00%1939181951.62%953181852.42%731136353.63%171494716747581464735
10Heat311010001514121100000101001000100054140.667152843009011712219106893817885488733246817635.29%12283.33%1939181951.62%953181852.42%731136353.63%171494716747581464735
11Icehogs311000101012-21100000032120100010710-340.6671017270090117122191048938178854810529206015426.67%10370.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
12Little Stars210010001073110000004221000100065141.0001015250090117122196189381788548762314485240.00%70100.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
13Marlies3200100016133100010008712200000086261.000162743009011712219120893817885489028127014214.29%6183.33%0939181951.62%953181852.42%731136353.63%171494716747581464735
14Monsters422000001214-2211000006602110000068-240.5001219310090117122191378938178854812744289024312.50%14564.29%2939181951.62%953181852.42%731136353.63%171494716747581464735
15Moose632010002019131101000118332100000911-280.66720335300901171221918989381788548202546211323521.74%31487.10%0939181951.62%953181852.42%731136353.63%171494716747581464735
16Penguins421000011717022000000126620100001511-650.6251725420090117122191398938178854813234379816318.75%17664.71%0939181951.62%953181852.42%731136353.63%171494716747581464735
17Phantoms30300000915-61010000057-22020000048-400.0009162500901171221988893817885489919287913430.77%14285.71%0939181951.62%953181852.42%731136353.63%171494716747581464735
18Punishers2110000010100110000004311010000067-120.5001018280090117122197489381788548672118548337.50%9277.78%0939181951.62%953181852.42%731136353.63%171494716747581464735
19Rampage2110000078-11010000026-41100000052320.500711180090117122195389381788548662312488225.00%6183.33%0939181951.62%953181852.42%731136353.63%171494716747581464735
20Reign3110010012102110000005142010010079-230.50012203200901171221994893817885488232304819526.32%14471.43%0939181951.62%953181852.42%731136353.63%171494716747581464735
21Senators3200001014771100000042221000010105561.00014213500901171221910689381788548943314657342.86%70100.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
22Sound Tigers211000001293110000009361010000036-320.500122133009011712219578938178854866202149400.00%8275.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
23Thunderbirds2200000013112110000006511100000076141.000132437009011712219748938178854875218365360.00%4250.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
24Wolfpack20200000815-71010000048-41010000047-300.0008142200901171221972893817885486015204513323.08%10460.00%0939181951.62%953181852.42%731136353.63%171494716747581464735
25Wolves2110000058-3110000003121010000027-520.500591400901171221958893817885486523182912216.67%9277.78%0939181951.62%953181852.42%731136353.63%171494716747581464735
Total803529071533413338401814050211701655401715021321711683980.613341566907009011712219261789381788548257478665317753548624.29%3086778.25%7939181951.62%953181852.42%731136353.63%171494716747581464735
_Since Last GM Reset803529071533413338401814050211701655401715021321711683980.613341566907009011712219261789381788548257478665317753548624.29%3086778.25%7939181951.62%953181852.42%731136353.63%171494716747581464735
_Vs Conference49221705131197186112310804010958872612901121102984620.633197331528009011712219161889381788548153746742710742335624.03%1993781.41%6939181951.62%953181852.42%731136353.63%171494716747581464735
_Vs Division2412803001958691245030004344-1128300001524210310.64695159254009011712219765893817885487562112495291172723.08%1111685.59%2939181951.62%953181852.42%731136353.63%171494716747581464735

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8098L134156690726172574786653177500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035297153341333
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018145021170165
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017152132171168
Derniers 10 matchs
WLOTWOTL SOWSOL
430120
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3548624.29%3086778.25%7
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
893817885489011712219
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
939181951.62%953181852.42%731136353.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171494716747581464735


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 - 2021-11-301Moose3Rocket4BWXSommaire du match
3 - 2021-12-0214Rocket3Griffins5ALR1Sommaire du match
7 - 2021-12-0626Rocket4Moose2AWSommaire du match
9 - 2021-12-0841Condors1Rocket2BWR1Sommaire du match
13 - 2021-12-1263Rocket2Monsters5ALSommaire du match
15 - 2021-12-1471Comets4Rocket5BWXXSommaire du match
17 - 2021-12-1682Rocket4Condors5ALXXR1Sommaire du match
19 - 2021-12-1888Rocket3Barracuda6ALSommaire du match
21 - 2021-12-2099Griffins8Rocket2BLR1Sommaire du match
23 - 2021-12-22111Rocket2Phantoms4ALSommaire du match
26 - 2021-12-25128Barracuda4Rocket5BWXR1Sommaire du match
29 - 2021-12-28143Moose3Rocket2BLSommaire du match
33 - 2022-01-01167Monsters4Rocket5BWSommaire du match
36 - 2022-01-04183Rocket6Condors2AWR1Sommaire du match
38 - 2022-01-06191Heat4Rocket6BWSommaire du match
40 - 2022-01-08211Penguins2Rocket7BWSommaire du match
43 - 2022-01-11223Rocket6Punishers7ALSommaire du match
45 - 2022-01-13238Thunderbirds5Rocket6BWSommaire du match
47 - 2022-01-15248Rocket2Phantoms4ALSommaire du match
49 - 2022-01-17257Rocket1Penguins6ALSommaire du match
52 - 2022-01-20273Wolfpack8Rocket4BLSommaire du match
55 - 2022-01-23290Phantoms7Rocket5BLSommaire du match
58 - 2022-01-26306Rocket5Rampage2AWSommaire du match
60 - 2022-01-28316Reign1Rocket5BWSommaire du match
62 - 2022-01-30328Rocket3Griffins1AWR1Sommaire du match
65 - 2022-02-02343Icehogs2Rocket3BWSommaire du match
69 - 2022-02-06364Rocket4Penguins5ALXXSommaire du match
70 - 2022-02-07371Moose2Rocket5BWSommaire du match
74 - 2022-02-11392Eagles6Rocket2BLSommaire du match
76 - 2022-02-13401Rocket8Devils2AWSommaire du match
79 - 2022-02-16419Wolves1Rocket3BWSommaire du match
82 - 2022-02-19433Rocket3Sound Tigers6ALSommaire du match
85 - 2022-02-22446Monsters2Rocket1BLSommaire du match
87 - 2022-02-24455Rocket6Little Stars5AWXSommaire du match
90 - 2022-02-27471Rampage6Rocket2BLSommaire du match
93 - 2022-03-02491Rocket7Thunderbirds6AWSommaire du match
95 - 2022-03-04500Senators2Rocket4BWSommaire du match
97 - 2022-03-06511Rocket3Senators2AWXXSommaire du match
100 - 2022-03-09522Rocket6Eagles3AWSommaire du match
101 - 2022-03-10528Devils4Rocket5BWXSommaire du match
106 - 2022-03-15552Rocket7Crunch6AWXXSommaire du match
107 - 2022-03-16555Marlies7Rocket8BWXSommaire du match
111 - 2022-03-20578Heat6Rocket4BLSommaire du match
113 - 2022-03-22587Rocket5Griffins3AWR1Sommaire du match
115 - 2022-03-24595Rocket7Senators3AWSommaire du match
118 - 2022-03-27606Condors3Rocket1BLR1Sommaire du match
121 - 2022-03-30624Rocket4Moose2AWSommaire du match
122 - 2022-03-31631Punishers3Rocket4BWSommaire du match
125 - 2022-04-03643Rocket4Wolfpack7ALSommaire du match
127 - 2022-04-05655Rocket3Admirals6ALSommaire du match
128 - 2022-04-06663Devils6Rocket4BLSommaire du match
130 - 2022-04-08677Rocket4Barracuda3AWR1Sommaire du match
132 - 2022-04-10688Barracuda6Rocket3BLSommaire du match
136 - 2022-04-14709Little Stars2Rocket4BWSommaire du match
139 - 2022-04-17729Rocket10Condors2AWR1Sommaire du match
140 - 2022-04-18737Griffins4Rocket8BWR1Sommaire du match
143 - 2022-04-21753Rocket1Moose7ALSommaire du match
145 - 2022-04-23760Crunch5Rocket4BLXXSommaire du match
147 - 2022-04-25773Rocket5Heat4AWXSommaire du match
149 - 2022-04-27782Rocket5Barracuda4AWR1Sommaire du match
150 - 2022-04-28790Sound Tigers3Rocket9BWSommaire du match
154 - 2022-05-02810Rocket4Monsters3AWSommaire du match
155 - 2022-05-03819Penguins4Rocket5BWSommaire du match
158 - 2022-05-06839Griffins2Rocket3BWXR1Sommaire du match
159 - 2022-05-07845Rocket6Bears2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11865Bears6Rocket2BLSommaire du match
165 - 2022-05-13873Rocket2Wolves7ALSommaire du match
168 - 2022-05-16890Rocket4Comets6ALSommaire du match
169 - 2022-05-17894Barracuda4Rocket5BWR1Sommaire du match
174 - 2022-05-22917Comets8Rocket3BLSommaire du match
178 - 2022-05-26939Admirals4Rocket5BWXXSommaire du match
181 - 2022-05-29955Rocket5Marlies4AWSommaire du match
183 - 2022-05-31964Comets4Rocket6BWSommaire du match
184 - 2022-06-01972Rocket3Icehogs7ALSommaire du match
185 - 2022-06-02978Rocket3Marlies2AWSommaire du match
190 - 2022-06-07995Condors4Rocket3BLR1Sommaire du match
193 - 2022-06-101012Rocket2Reign3ALXSommaire du match
196 - 2022-06-131018Admirals5Rocket6BWSommaire du match
197 - 2022-06-141027Rocket4Icehogs3AWXXSommaire du match
199 - 2022-06-161040Rocket5Reign6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,05737,587
Assistance PCT93.82%93.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2816 - 93.87% 83,759$3,350,340$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,852,015$ 2,622,500$ 1,620,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,112$ 2,344,655$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,612$ 0$




Rocket 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

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 (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