Rocket

GP: 26 | W: 17 | L: 6 | OTL: 3 | P: 37
GF: 95 | GA: 51 | PP%: 13.77% | PK%: 86.30%
DG: Simon Charland | Morale : 59 | Moyenne d'Équipe : 57
Prochain matchs #387 vs Senators
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Tommy WingelsX100.00845575787478827675657076557674132700
2Brad MaloneX98.00795572667974696071555560557172153610
3Corey ElkinsX100.00805578558065735550555555557177166580
4Emile PoirierX99.00595559687267695550555558557473153580
5Colin Blackwell (R)X98.00675565647364635550555556557473166580
6Felix GirardX100.00575559676762725550555557557374163580
7Dan DeSalvoX100.00585572626159665850575855557169166570
8Conor Garland (R)X100.00565567675859755550555555557271152570
9David DziurzynskiX98.00585558555959685550555555557475163560
10Robin Kovacs (R)X100.00665566626662695550555556555050166560
11Mikhail Vorobyov (R)X100.00795580557954545550555555555050163550
12Bobby FarnhamX100.00555555555555555550555555557375153540
13Justin FontaineX100.00565555555556555550555555556263148540
14Jiri HudlerX100.00565555555556565550555555557473126540
15Christian Wolanin (R)X98.00675575756676536725616165555555166630
16Daniel Walcott (R)X100.00555555615555655525555555555555166550
17Julien Brouillette (R)X100.00555555605555655525555555555353166540
18Matthew Spencer (R)X99.00555555605555555525555555555555167540
19Tommy VannelliX100.00555555605555555525555555555555156540
Rayé
1Cole SchneiderX100.00565555555757575550555555557466131540
2Ryan KujawinskiX100.00565555555555555550555555555050135530
3Nathan Noel (R)X100.00565555555555555550555555555050136530
4Nikita Korostelev (R)X100.00565555555555555550555555555050136530
5Zachary Senyshyn (R)X100.00565555555555555550555555555050136530
MOYENNE D'ÉQUIPE99.5862556261626062574756565755636315356
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 SP
1Adam Wilcox100.0064778278656566656966556464161660
2Joe Cannata100.0055737878595960606159555557166610
Rayé
MOYENNE D'ÉQUIPE100.006075807862626363656355606116464
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg69677167987174CAN5758$


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 GP 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
1Colin BlackwellRocket (MTL)C269101910120305763174714.29%247518.2901113741013542062.53%38700010.8001000211
2David DziurzynskiRocket (MTL)LW265131811215302249203310.20%746117.75235121120000240065.62%3200000.7800010021
3Justin DowlingMontreal CanadiensC20512171035519476623417.58%542721.4003317720112832059.15%37700000.7912100111
4Brad MaloneRocket (MTL)C16791611220416151163413.73%537523.4704412630000762063.82%45600000.8513000210
5Christian WolaninRocket (MTL)D17412161628037394317239.30%2744426.162242772000057100.00%000000.7200000110
6Emile PoirierRocket (MTL)RW1641115121209244916278.16%328317.7003312660113340168.42%1900001.0600000210
7Julien BrouilletteRocket (MTL)D2669151726044171881733.33%1855521.385161379000083100.00%000000.5400000111
8Tommy VannelliRocket (MTL)D252121494554119288167.14%1953921.581341389000380100.00%000000.5200001112
9Justin FontaineRocket (MTL)LW152111313601773115196.45%019412.99134646000010035.29%1700001.3300000100
10Daniel WalcottRocket (MTL)D26211132632046161881811.11%2556921.90022688000088000.00%000000.4600000011
11Felix GirardRocket (MTL)C26581312195275349152510.20%331412.11000130003431066.37%22600000.8301010011
12Dan DeSalvoRocket (MTL)C261101112807271813175.56%62108.080115340000340061.46%9600001.0500000000
13Corey ElkinsRocket (MTL)C26291111220332327897.41%733412.880113250001760062.25%15100000.6600000001
14Nikita KorostelevRocket (MTL)RW9651111401682561724.00%115016.71112846000000144.44%900011.4600000210
15Robin KovacsRocket (MTL)RW265611660222641103712.20%227310.531341151000000057.89%1900000.8000000001
16Tommy WingelsRocket (MTL)RW8561110100121232122215.63%018322.970113270001170067.74%3100001.2002000011
17Morgan KlimchukMontreal CanadiensLW1073105361011173081823.33%116916.922135330000354147.22%3600001.1801000111
18Bobby FarnhamRocket (MTL)LW16347-20013233093210.00%223114.47112228000000054.55%1100000.6000000100
19Mikhail VorobyovRocket (MTL)C265273295209161631.25%52007.723037281012521052.38%4200000.7000001111
20Conor GarlandRocket (MTL)RW1634712157162982110.34%122013.81022659000000033.33%600010.6300100100
21Matthew SpencerRocket (MTL)D262461625557171971210.53%2351919.99011870000081000.00%000000.2300001001
22Cole SchneiderRocket (MTL)LW42022004551540.00%04511.50000000000011100.00%100000.8700000000
23Zachary SenyshynRocket (MTL)RW91014605511359.09%2738.13000130000000100.00%200000.2700000000
24Nathan NoelRocket (MTL)C9000220624330.00%3879.680003120000250063.16%1900000.0000000000
Stats d'équipe Total ou en Moyenne450931712642284274555455275225250412.37%167734416.3219375619411902241895316461.80%193700030.72210223171514
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
1Adam WilcoxRocket (MTL)2617630.9201.82155042475900020.7508260313
2Joe CannataRocket (MTL)10001.0000.002800060000.0000026000
Stats d'équipe Total ou en Moyenne2717630.9211.79157942475960020.75082626313


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam WilcoxRocket (MTL)G241992-11-26No201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Bobby FarnhamRocket (MTL)LW271989-01-20No190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Brad MaloneRocket (MTL)C271989-05-19No207 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Christian WolaninRocket (MTL)D211995-03-17Yes187 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Cole SchneiderRocket (MTL)LW261990-08-26No197 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Colin BlackwellRocket (MTL)C231993-03-27Yes190 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Conor GarlandRocket (MTL)RW201996-03-11Yes163 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Corey ElkinsRocket (MTL)C311985-02-23No212 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Dan DeSalvoRocket (MTL)C241992-03-06No174 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Daniel WalcottRocket (MTL)D221994-02-19Yes174 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
David DziurzynskiRocket (MTL)LW271989-10-06No225 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Emile PoirierRocket (MTL)RW221994-12-14No185 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Felix GirardRocket (MTL)C221994-05-09No185 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Jiri HudlerRocket (MTL)LW331984-01-04No186 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Joe CannataRocket (MTL)G271990-01-02No200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Julien BrouilletteRocket (MTL)D301986-12-05Yes185 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Justin FontaineRocket (MTL)LW291987-11-06No175 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Matthew SpencerRocket (MTL)D191997-03-24Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mikhail VorobyovRocket (MTL)C201997-01-05Yes207 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Nathan NoelRocket (MTL)C191997-06-21Yes174 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Nikita KorostelevRocket (MTL)RW191997-02-08Yes194 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Robin KovacsRocket (MTL)RW201996-11-16Yes176 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Ryan KujawinskiRocket (MTL)C211995-03-30No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Tommy VannelliRocket (MTL)D211995-01-26No165 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Tommy WingelsRocket (MTL)RW281988-04-11No200 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$
Zachary SenyshynRocket (MTL)RW191997-03-30Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.88190 Lbs6 ft02.62434,615$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David DziurzynskiBrad MaloneEmile Poirier40122
2Bobby FarnhamColin BlackwellConor Garland30122
3Felix Girard20122
4Justin FontaineCorey ElkinsRobin Kovacs10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninDaniel Walcott40122
2Matthew SpencerTommy Vannelli30122
3Julien BrouilletteChristian Wolanin20122
4Daniel WalcottMatthew Spencer10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David DziurzynskiBrad MaloneEmile Poirier60122
2Bobby FarnhamColin BlackwellConor Garland40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninDaniel Walcott60122
2Matthew SpencerTommy Vannelli40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad MaloneColin Blackwell60122
2Felix GirardEmile Poirier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninDaniel Walcott60122
2Matthew SpencerTommy Vannelli40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brad Malone60122Christian WolaninDaniel Walcott60122
2Colin Blackwell40122Matthew SpencerTommy Vannelli40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brad MaloneColin Blackwell60122
2Felix GirardEmile Poirier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninDaniel Walcott60122
2Matthew SpencerTommy Vannelli40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David DziurzynskiBrad MaloneEmile PoirierChristian WolaninDaniel Walcott
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David DziurzynskiBrad MaloneEmile PoirierChristian WolaninDaniel Walcott
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dan DeSalvo, Mikhail Vorobyov, Corey ElkinsDan DeSalvo, Mikhail VorobyovCorey Elkins
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Julien Brouillette, Tommy Vannelli, Christian WolaninJulien BrouilletteTommy Vannelli, Christian Wolanin
Tirs de Pénalité
Brad Malone, Colin Blackwell, Felix Girard, Emile Poirier, Corey Elkins
Gardien
#1 : Adam Wilcox, #2 : Joe Cannata


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
LigueDomicileVisiteur
# 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
Total2615601112955144138300002492623137301110462521370.71295168263225120223750273214257145981734345591381913.77%1462086.30%250879463.98%44575359.10%24136665.85%702498559180318169
_Since Last GM Reset2615601112955144138300002492623137301110462521370.71295168263225120223750273214257145981734345591381913.77%1462086.30%250879463.98%44575359.10%24136665.85%702498559180318169
_Vs Conference13101000115922376500000129121775100010301020230.8855910015901512022341827321425714316101260284501020.00%76889.47%250879463.98%44575359.10%24136665.85%702498559180318169

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2637W39516826375059817343455922
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2615611129551
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138300024926
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
137311104625
Derniers 10 Matchs
WLOTWOTL SOWSOL
711001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1381913.77%1462086.30%2
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
273214257145120223
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
50879463.98%44575359.10%24136665.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
702498559180318169


Derniers Match 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
4 - 2018-09-0816Rocket2Bruins3LXSommaire du Match
5 - 2018-09-0924Rocket6Wolf Pack1WSommaire du Match
10 - 2018-09-1437Devils2Rocket1LSommaire du Match
11 - 2018-09-1544Devils3Rocket1LSommaire du Match
15 - 2018-09-1967Wolf Pack2Rocket9WSommaire du Match
17 - 2018-09-2176Thunderbirds2Rocket6WSommaire du Match
18 - 2018-09-2282Thunderbirds4Rocket5WSommaire du Match
21 - 2018-09-25100Rocket10Marlies3WSommaire du Match
25 - 2018-09-29125Rocket0Americans1LSommaire du Match
29 - 2018-10-03137Senators2Rocket4WSommaire du Match
31 - 2018-10-05147Comets2Rocket5WSommaire du Match
32 - 2018-10-06153Comets3Rocket2LXXSommaire du Match
36 - 2018-10-10176Rocket2Comets1WXXSommaire du Match
38 - 2018-10-12182Rocket1Monsters4LSommaire du Match
39 - 2018-10-13192Rocket2Monsters4LSommaire du Match
42 - 2018-10-16212Marlies0Rocket7WSommaire du Match
45 - 2018-10-19230Sound Tigers3Rocket1LSommaire du Match
46 - 2018-10-20239Rocket2Crunch1WXSommaire du Match
50 - 2018-10-24259Rocket3Comets1WSommaire du Match
53 - 2018-10-27278Rocket6Checkers1WSommaire du Match
54 - 2018-10-28290Rocket5Checkers1WSommaire du Match
57 - 2018-10-31305Senators0Rocket3WSommaire du Match
59 - 2018-11-02313Phantoms2Rocket1LXXSommaire du Match
60 - 2018-11-03319Comets1Rocket4WSommaire du Match
66 - 2018-11-09351Rocket3Senators2WSommaire du Match
67 - 2018-11-10363Rocket4Marlies2WSommaire du Match
71 - 2018-11-14387Senators-Rocket-
73 - 2018-11-16396Crunch-Rocket-
74 - 2018-11-17401Crunch-Rocket-
80 - 2018-11-23441Marlies-Rocket-
81 - 2018-11-24450Marlies-Rocket-
86 - 2018-11-29473Rocket-Senators-
87 - 2018-11-30482Checkers-Rocket-
88 - 2018-12-01486Checkers-Rocket-
92 - 2018-12-05513Senators-Rocket-
94 - 2018-12-07524Americans-Rocket-
95 - 2018-12-08532Americans-Rocket-
100 - 2018-12-13560Rocket-Moose-
102 - 2018-12-15578Rocket-Moose-
106 - 2018-12-19599Senators-Rocket-
108 - 2018-12-21610Monsters-Rocket-
109 - 2018-12-22616Monsters-Rocket-
111 - 2018-12-24639Rocket-Thunderbirds-
115 - 2018-12-28660Rocket-Phantoms-
116 - 2018-12-29672Rocket-Bears-
122 - 2019-01-04686Rocket-Marlies-
123 - 2019-01-05697Rocket-Marlies-
129 - 2019-01-11727Senators-Rocket-
130 - 2019-01-12741Rocket-Senators-
134 - 2019-01-16764Rocket-Comets-
136 - 2019-01-18775Rocket-Devils-
137 - 2019-01-19789Rocket-Devils-
139 - 2019-01-21804Rocket-Senators-
141 - 2019-01-23809Rocket-Crunch-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25825Moose-Rocket-
144 - 2019-01-26828Moose-Rocket-
149 - 2019-01-31855Rocket-Monsters-
150 - 2019-02-01859Rocket-Monsters-
155 - 2019-02-06893Marlies-Rocket-
157 - 2019-02-08899Marlies-Rocket-
158 - 2019-02-09910Comets-Rocket-
162 - 2019-02-13939Crunch-Rocket-
164 - 2019-02-15947Rocket-Senators-
165 - 2019-02-16959Rocket-Senators-
169 - 2019-02-20980Bruins-Rocket-
171 - 2019-02-22984Rocket-Comets-
172 - 2019-02-231001Rocket-Thunderbirds-
176 - 2019-02-271022Devils-Rocket-
178 - 2019-03-011032Rocket-Americans-
179 - 2019-03-021044Rocket-Marlies-
183 - 2019-03-061066Monsters-Rocket-
185 - 2019-03-081078Monsters-Rocket-
186 - 2019-03-091083Bears-Rocket-
190 - 2019-03-131107Rocket-Sound Tigers-
192 - 2019-03-151117Rocket-Crunch-
193 - 2019-03-161136Rocket-Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
38,844$ 113,000$ 77,180$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 38,814$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 583$ 74,041$




LigueDomicileVisiteur
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
1326156011129551441383000024926231373011104625213795168263225120223750273214257145981734345591381913.77%1462086.30%250879463.98%44575359.10%24136665.85%702498559180318169
Total Saison Régulière26156011129551441383000024926231373011104625213795168263225120223750273214257145981734345591381913.77%1462086.30%250879463.98%44575359.10%24136665.85%702498559180318169
Séries
121156000002528-35320000014113624000001117-6102544690210681261621038115298711912456957.25%831779.52%022237459.36%21436858.15%8316151.55%2952032768814470
121156000002528-35320000014113624000001117-6102544690210681261621038115298711912456957.25%831779.52%022237459.36%21436858.15%8316151.55%2952032768814470
Total Séries221012000005056-6106400000282261248000002234-1220508813804201216252212420616230596142382490138107.25%1663479.52%044474859.36%42873658.15%16632251.55%591406553177288141