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Connexion

Rocket
GP: 36 | W: 20 | L: 11 | OTL: 5 | P: 45
GF: 95 | GA: 89 | PP%: 20.31% | PK%: 87.70%
DG: Rick Pepin | Morale : 97 | Moyenne d’équipe : 67

Centre de jeu
Wolves
14-21-0, 28pts
3
4 Rocket
20-11-5, 45pts
Team Stats
L1SéquenceSOL1
7-11-0Fiche domicile10-4-4
7-10-0Fiche domicile10-7-1
5-5-0Derniers 10 matchs7-1-2
2.54Buts par match 2.64
3.06Buts contre par match 2.47
17.74%Pourcentage en avantage numérique20.31%
73.76%Pourcentage en désavantage numérique87.70%
Rocket
20-11-5, 45pts
3
4 Crunch
19-13-3, 41pts
Team Stats
SOL1SéquenceW2
10-4-4Fiche domicile11-5-2
10-7-1Fiche domicile8-8-1
7-1-2Derniers 10 matchs6-3-1
2.64Buts par match 2.69
2.47Buts contre par match 2.69
20.31%Pourcentage en avantage numérique19.83%
87.70%Pourcentage en désavantage numérique82.01%
Meneurs d'équipe
Anthony RichardButs
Anthony Richard
17
Zac JonesPasses
Zac Jones
26
Zac JonesPoints
Zac Jones
29
Jake LucchiniPlus/Moins
Jake Lucchini
3
Calvin PetersenVictoires
Calvin Petersen
12
Calvin PetersenPourcentage d’arrêts
Calvin Petersen
0.919

Statistiques d’équipe
Buts pour
95
2.64 GFG
Tirs pour
1060
29.44 Avg
Pourcentage en avantage numérique
20.3%
26 GF
Début de zone offensive
41.9%
Buts contre
89
2.47 GAA
Tirs contre
973
27.03 Avg
Pourcentage en désavantage numérique
87.7%%
15 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralRick Pepin
DivisionAtlantic
ConférenceEst Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs2


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
1Laurent Dauphin0X100.00633081787085846681666576646869089690312775,000$
2Brendan Lemieux0X100.00943056838076817056626768626870089690301775,000$
3Charles Hudon0XX100.00693076806885836574686662797173089680321550,000$
4Ryan Lomberg0XX100.00803063826674896355616672607372065680311775,000$
5Anthony Richard0XX100.00743086737187896974676565696960089680291775,000$
6Jake Lucchini0XX100.00673083787084876470636272656971089680312775,000$
7Luke Philp0XX100.00643085736780846580636467666568089660301775,000$
8Fredrik Karlstrom0X100.00793094777380836176586066606664089660281775,000$
9Scott Reedy (R)0X100.00723090748176826274566767646567089660271775,000$
10Fabian Lysell (R)0X100.00583071826786806550676262696362089660232863,333$
11Anton Wahlberg (R)0XX100.00823094768276835974605767566062089650214865,000$
12Akil Thomas (R)0XX100.00693082747179776379586461656264089640262775,000$
13Nick Seeler0X100.00813086718388895930565085507473089720331775,000$
14Christian Wolanin0X100.00623078797780807030645867506965089680311775,000$
15Zac Jones (R)0X100.00613085806484856530655873505757089680251850,000$
16Dakota Mermis0X100.00823081677183846030605171506870089670321775,000$
17Parker Wotherspoon0X100.00693059637579786230625274506360089660281775,000$
18Josh Jacobs0X100.00793088737576776030565667506563089660301775,000$
Rayé
1Zayde Wisdom (R)0XX100.00743085627169775458525061505454087580241550,000$
2Alex Green0X100.00753072657375785230454370456464063630281550,000$
MOYENNE D’ÉQUIPE100.0073308075738083635660596959666508667
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
1Matt Villalta (R)0100.0077908681767577767577766665089750272775,000$
2Calvin Petersen0100.0075837877747375747375747275087730311775,000$
Rayé
MOYENNE D’ÉQUIPE100.007687827975747675747675697008874
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
1Zac JonesRocket (MTL)D3632629-14015334511336.67%4080122.271111228109000294100%000000.7200000001
2Laurent DauphinRocket (MTL)C36619251180308197271016.19%271119.762911261180004570054.09%86700000.7000000100
3Fabian LysellRocket (MTL)RW361411251160273881226417.28%164517.94461018118000001136.59%4100010.7724000312
4Charles HudonRocket (MTL)LW/RW36815231140674310222567.84%766418.45448201180000101058.93%5600000.6914000312
5Anthony RichardRocket (MTL)C/LW3617623-52084194286718.09%665318.1645927115000114146.27%6700000.7004000231
6Christian WolaninRocket (MTL)D3641418-54025255021358.00%3370619.614262486000140110%000000.5100000013
7Parker WotherspoonRocket (MTL)D361161711808226349312.94%5276821.340442185000093100%000000.4400000110
8Scott ReedyRocket (MTL)C3687151160214873193810.96%153114.7613415870000240053.88%63100000.5600000120
9Jake LucchiniRocket (MTL)C/LW36751232024338218438.54%1655415.390000100011291350.98%5100200.4312000104
10Luke PhilpRocket (MTL)C/RW366511-2005598617686.98%360716.873252385000164153.37%54900000.3600000021
11Brendan LemieuxRocket (MTL)LW361101112601084410229830.98%258216.191122878000000045.16%6200000.3800000000
12Josh JacobsRocket (MTL)D36281003603015244108.33%2458716.330000100005000%000000.3400000000
13Fredrik KarlstromRocket (MTL)C364610-400283940143610.00%341311.490000000051361150.88%56800000.4800000200
14Nick SeelerRocket (MTL)D36459-4340783222131818.18%5967518.7700001000098200%000000.2700000220
15Dakota MermisRocket (MTL)D3607712605727217110%4569419.300004120000106000%000000.2000000001
16Anton WahlbergRocket (MTL)C/LW36336-46021203212219.38%23479.66000000001700141.18%1700000.3400000001
17Ryan LombergRocket (MTL)LW/RW5314-2001521131127.27%08316.7720269000020066.67%600000.9500000000
18Akil ThomasRocket (MTL)C/RW36224116023155618353.57%441411.5100002000001071.43%2100000.1912000000
19Zayde WisdomRocket (MTL)C/RW31011-7201088270%22277.3400000000000038.46%1300000.0900000000
Statistiques d’équipe totales ou en moyenne64893167260-23240067462910602967688.77%3021067216.4726477324010310001687918952.73%294900210.49516000161316
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
1Calvin PetersenRocket (MTL)1612210.9192.11965170344190200.83361620320
2Matt VillaltaRocket (MTL)218940.9062.55122401525530010.600102016102
Statistiques d’équipe totales ou en moyenne37201150.9122.36219017186972021163636422


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Akil ThomasRocket (MTL)C/RW262000-01-02CANYes195 Lbs6 ft0NoNoFree AgentNoNo22025-12-08FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Alex GreenRocket (MTL)D281998-06-18USANo194 Lbs6 ft3NoNoFree AgentNoYes12026-01-12FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Anthony RichardRocket (MTL)C/LW291996-12-20CANNo185 Lbs5 ft10NoNoFree AgentNoYes12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Anton WahlbergRocket (MTL)C/LW212005-07-04SWEYes198 Lbs6 ft5NoNoProspectNoNo42025-09-22FalseFalseFarm Only865,000$36,042$0$0$No833,333$833,333$833,333$------833,333$833,333$833,333$------NoNoNo------Lien / Lien NHL
Brendan LemieuxRocket (MTL)LW301996-03-15USANo215 Lbs6 ft1NoNoFree AgentNoYes12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Calvin PetersenRocket (MTL)G311994-10-19USANo185 Lbs6 ft2NoNoFree AgentNoYes12026-04-19FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Charles HudonRocket (MTL)LW/RW321994-06-23CANNo190 Lbs5 ft10NoNoFree AgentNoYes12026-04-19FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Christian WolaninRocket (MTL)D311995-03-17USANo185 Lbs6 ft2NoNoFree AgentNoYes12025-12-08FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Dakota MermisRocket (MTL)D321994-01-05USANo195 Lbs6 ft0NoNoFree AgentNoYes12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Fabian LysellRocket (MTL)RW232003-01-19SWEYes176 Lbs5 ft11NoNoProspectNoNo22024-06-26FalseFalsePro & Farm863,333$35,972$0$0$No863,333$--------863,333$--------No--------Lien / Lien NHL
Fredrik KarlstromRocket (MTL)C281998-01-12SWENo195 Lbs6 ft3NoNoFree AgentNoYes12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Jake LucchiniRocket (MTL)C/LW311995-05-09CANNo180 Lbs6 ft0NoNoFree AgentNoYes22026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Josh JacobsRocket (MTL)D301996-02-15USANo200 Lbs6 ft2NoNoFree AgentNoYes12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Laurent DauphinRocket (MTL)C311995-03-27CANNo186 Lbs6 ft0NoNoFree AgentNoYes22025-12-08FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Luke PhilpRocket (MTL)C/RW301995-11-06CANNo181 Lbs5 ft10NoNoFree AgentNoYes12025-12-08FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Matt VillaltaRocket (MTL)G271999-06-03CANYes190 Lbs6 ft3NoNoFree AgentNoNo22025-12-08FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nick SeelerRocket (MTL)D331993-06-03USANo201 Lbs6 ft2NoNoFree AgentNoYes12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Parker WotherspoonRocket (MTL)D281997-08-24CANNo195 Lbs6 ft1NoNoFree AgentNoYes12024-06-28FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Ryan LombergRocket (MTL)LW/RW311994-09-12CANNo184 Lbs5 ft9NoNoFree AgentNoYes12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Scott ReedyRocket (MTL)C271999-04-04USAYes204 Lbs6 ft2NoNoFree AgentNoNo12024-12-02FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Zac JonesRocket (MTL)D252000-10-18USAYes176 Lbs5 ft10NoNoFree AgentNoNo12024-11-11FalseFalsePro & Farm850,000$35,417$0$0$No---------------------------Lien / Lien NHL
Zayde WisdomRocket (MTL)C/RW242002-07-07CANYes195 Lbs5 ft11NoNoFree AgentNoNo12025-12-08FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.55191 Lbs6 ft11.36755,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonLaurent DauphinFabian Lysell30014
2Anthony RichardLuke PhilpRyan Lomberg30014
3Jake LucchiniScott ReedyBrendan Lemieux20023
4Anton WahlbergFredrik KarlstromAkil Thomas20041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac JonesParker Wotherspoon34122
2Christian WolaninNick Seeler33122
3Dakota MermisJosh Jacobs33122
4Dakota MermisJosh Jacobs0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonLaurent DauphinFabian Lysell65005
2Ryan LombergScott ReedyLuke Philp35005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony RichardZac Jones65014
2Parker WotherspoonChristian Wolanin35014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fredrik KarlstromAnton Wahlberg60050
2Laurent DauphinJake Lucchini40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisNick Seeler60050
2Zac JonesParker Wotherspoon40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Fredrik Karlstrom60050Dakota MermisNick Seeler60050
2Laurent Dauphin40050Zac JonesParker Wotherspoon40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinCharles Hudon50122
2Anthony RichardBrendan Lemieux50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonZac Jones60122
2Christian WolaninNick Seeler40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonLaurent DauphinAnthony RichardChristian WolaninZac Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LucchiniAnton WahlbergFredrik KarlstromParker WotherspoonNick Seeler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fabian Lysell, Ryan Lomberg, Akil ThomasBrendan Lemieux, Jake LucchiniRyan Lomberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zac Jones, Josh Jacobs, Christian WolaninDakota MermisDakota Mermis, Christian Wolanin
Tirs de pénalité
Anthony Richard, Charles Hudon, Fabian Lysell, Akil Thomas, Jake Lucchini
Gardien
#1 : Calvin Petersen, #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Laurent Dauphin, Charles Hudon, Anthony Richard, Fabian Lysell, Scott Reedy, Jake Lucchini, Ryan Lomberg, Brendan Lemieux, Luke Philp, Fredrik Karlstrom
Lignes de défense personnalisées en prolongation
Zac Jones, Parker Wotherspoon, Christian Wolanin, Dakota Mermis, Nick Seeler


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
1Admirals1010000024-2000000000001010000024-200.000246002832317153273453693527912172150.00%60100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
2Americans33000000963110000002112200000075261.000916250028323179232734536935851818649444.44%9277.78%0664121954.47%614115453.21%27753351.97%875609858267459228
3Barracuda11000000422110000004220000000000021.0004812002832317283273453693513610185240.00%50100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
4Bears1010000024-21010000024-20000000000000.000246002832317283273453693525610152150.00%5180.00%0664121954.47%614115453.21%27753351.97%875609858267459228
5Bruins211000005501010000024-21100000031220.50059140028323175932734536935562210415120.00%50100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
6Canucks1010000013-21010000013-20000000000000.00012300283231739327345369352810621600.00%3233.33%0664121954.47%614115453.21%27753351.97%875609858267459228
7Checkers21100000660110000005411010000012-120.50069150028323176332734536935621784010110.00%40100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
8Comets10001000321100010003210000000000021.00034700283231726327345369352476123266.67%30100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
9Condors1000000145-11000000145-10000000000010.5004610002832317443273453693529116164375.00%3166.67%0664121954.47%614115453.21%27753351.97%875609858267459228
10Crunch3000020169-32000020035-21000000134-130.5006101600283231780327345369359733185810110.00%9188.89%0664121954.47%614115453.21%27753351.97%875609858267459228
11Eagles1000010034-11000010034-10000000000010.5003580028323172832734536935197152322100.00%10100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
12Griffins11000000505000000000001100000050521.000510150128323173232734536935211112162150.00%60100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
13Gulls11000000321000000000001100000032121.0003690028323172432734536935229619300.00%30100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
14IceHogs11000000532000000000001100000053221.000510150028323172832734536935338695120.00%3166.67%0664121954.47%614115453.21%27753351.97%875609858267459228
15Islanders11000000211110000002110000000000021.000246002832317173273453693531131222200.00%60100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
16Marlies21000010633110000003121000001032141.000691500283231748327345369354919203810220.00%100100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
17Moose1010000012-1000000000001010000012-100.000112002832317273273453693529151020200.00%50100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
18Penguins1010000004-41010000004-40000000000000.00000000283231728327345369352401017400.00%5340.00%0664121954.47%614115453.21%27753351.97%875609858267459228
19Phantoms10000010431000000000001000001043121.000461000283231729327345369352854204250.00%20100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
20Reign1010000001-1000000000001010000001-100.00000000283231724327345369352111621500.00%30100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
21Senators21100000651110000004221010000023-120.50061016002832317783273453693552118431400.00%4175.00%0664121954.47%614115453.21%27753351.97%875609858267459228
22Stars11000000211000000000001100000021121.0002460028323172332734536935318618200.00%30100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
23Thunderbirds11000000312110000003120000000000021.0003580028323173932734536935213621200.00%30100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
24Wild1010000024-2000000000001010000024-200.0002350028323171932734536935279819100.00%4175.00%0664121954.47%614115453.21%27753351.97%875609858267459228
25Wolf Pack1010000013-2000000000001010000013-200.000123102832317283273453693533111217400.00%6183.33%0664121954.47%614115453.21%27753351.97%875609858267459228
26Wolves11000000431110000004310000000000021.000481200283231736327345369352184182150.00%20100.00%0664121954.47%614115453.21%27753351.97%875609858267459228
27Wranglers21001000633110000004221000100021141.00061218002832317783273453693565158318112.50%4175.00%0664121954.47%614115453.21%27753351.97%875609858267459228
Total36161102322958961894013014948118770102146415450.625951672621128323171060327345369359733022576741282620.31%1221587.70%0664121954.47%614115453.21%27753351.97%875609858267459228
_Since Last GM Reset36161102322958961894013014948118770102146415450.625951672621128323171060327345369359733022576741282620.31%1221587.70%0664121954.47%614115453.21%27753351.97%875609858267459228
_Vs Conference219601221545401263012003031-19330002124231270.643549114510283231761232734536935587170140405791518.99%70987.14%0664121954.47%614115453.21%27753351.97%875609858267459228
_Vs Division1473002113834474100200191727320001119172190.6793863101002832317420327345369354011208228458915.52%41490.24%0664121954.47%614115453.21%27753351.97%875609858267459228

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3645SOL195167262106097330225767411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
36161123229589
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189413014948
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187710214641
Derniers 10 matchs
WLOTWOTL SOWSOL
710101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1282620.31%1221587.70%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
327345369352832317
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
664121954.47%614115453.21%27753351.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
875609858267459228


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
113Bruins4Rocket2LSommaire du match
220Rocket3Americans2WSommaire du match
340Condors5Rocket4LXXSommaire du match
552Rocket3Gulls2WSommaire du match
664Rocket5Griffins0WSommaire du match
777Rocket2Senators3LSommaire du match
883Crunch3Rocket2LXSommaire du match
10107Canucks3Rocket1LSommaire du match
11118Senators2Rocket4WSommaire du match
12124Rocket1Wolf Pack3LSommaire du match
13143Rocket2Wild4LSommaire du match
14159Crunch2Rocket1LXSommaire du match
16177Penguins4Rocket0LSommaire du match
17184Rocket4Phantoms3WXXSommaire du match
18193Rocket1Checkers2LSommaire du match
19218Americans1Rocket2WSommaire du match
21231Wranglers2Rocket4WSommaire du match
22240Rocket2Admirals4LSommaire du match
23252Rocket0Reign1LSommaire du match
24267Rocket4Americans3WSommaire du match
25275Barracuda2Rocket4WSommaire du match
27301Rocket3Marlies2WXXSommaire du match
28307Checkers4Rocket5WSommaire du match
29326Rocket2Stars1WSommaire du match
30336Bears4Rocket2LSommaire du match
31349Rocket3Bruins1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
32360Eagles4Rocket3LXSommaire du match
33374Rocket5IceHogs3WSommaire du match
34390Thunderbirds1Rocket3WSommaire du match
37411Rocket2Wranglers1WXSommaire du match
38422Comets2Rocket3WXSommaire du match
39440Islanders1Rocket2WSommaire du match
41455Marlies1Rocket3WSommaire du match
43470Rocket1Moose2LSommaire du match
45484Wolves3Rocket4WSommaire du match
46487Rocket3Crunch4LXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance36,00018,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 3000 - 100.00% 119,200$2,145,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,530,586$ 1,662,833$ 1,659,083$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
34,564$ 1,526,998$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 34,642$ 69,284$




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