Rocket

GP: 45 | W: 26 | L: 14 | OTL: 5 | P: 57
GF: 141 | GA: 100 | PP%: 18.06% | PK%: 85.45%
DG: Simon Charland | Morale : 56 | Moyenne d'Équipe : 60
Prochain matchs #686 vs Marlies
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
1Justin DowlingX100.005835946066837059746356595877794673610
2Conor GarlandX100.005838916463766863546266586465655844610
3Jake Evans (R)X100.005736906072939059686154565765636289610
4Max ComtoisX100.006642896382725861536260585760627867600
5Zach SenyshynX100.005635935776827156535860575663628464590
6Egor SharangovichX100.006436925580939154615253565461636263590
7Mikhail VorobyevX100.005737896079756558665957605363625663590
8Bobby FarnhamX100.005443705768939056575451525378705567580
9Emile PoirierX100.006438855680787255585453565769657967580
10Colin BlackwellX100.005536905867766557625657585571665367580
11Felix GirardX100.005841775672939155585451535269656367580
12Dan DeSalvoX100.005437805968716458615756545864615467570
13Morgan KlimchukX100.005739825671837755565355545567647867570
14Pascal Laberge (R)X100.005539815772756956535459565861636467570
15Nathan NoelX100.005441775556878154555251535263626468560
16Nikita KorostelevX100.006635715873706558535152545963586167560
17Nolan Vesey (R)X100.006138865474767053575450535267646162560
18Ben HarpurX100.008375695897836456305952685167645973650
19Julian MelchioriX100.007639825492908553305252594575685367630
20Matthew SpencerX100.006445725382727252305757565563585268580
21Thomas GregoireX100.005634805571767255305652554564655367580
Rayé
MOYENNE D'ÉQUIPE100.00614083577481745653565556556664626759
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 Wilcox100.00727371727170727170727173774662700
2Ukko-Pekka Luukkonen (R)100.00746462867372747372747360637865700
Rayé
1Alex D'Orio100.00616361826059616059616061645437610
MOYENNE D'ÉQUIPE100.0069676580686769686769686568595567
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg69677167987174CAN5848$


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
1Justin DowlingRocket (MTL)C38162743926102964121379813.22%867117.6651217331290001361069.08%74700001.2801101234
2Mikhail VorobyevRocket (MTL)C43172643111403184111398015.32%578618.295914191310000693159.56%77400001.0900000116
3Ben HarpurRocket (MTL)D4483139514325125448227579.76%64111825.418614431600002129220.00%000000.7000302331
4Julian MelchioriRocket (MTL)D458283620520912764273212.50%56122827.3131013291610000152110.00%000000.5900000034
5Max ComtoisRocket (MTL)LW42191736172606964144408513.19%595322.704594216310131732148.68%30200010.7602000214
6Zach SenyshynRocket (MTL)RW44141832141402839110268712.73%884219.154593017600021033051.91%13100010.7602000222
7Dan DeSalvoRocket (MTL)RW45151631101004151118378812.71%476617.04281023160000001154.55%5500000.8100000332
8Bobby FarnhamRocket (MTL)LW45914238340692875194612.00%374416.53448201390000101152.17%4600000.6200000211
9Egor SharangovichRocket (MTL)C4351823826052877723566.49%789720.871451616901131661055.23%89800000.5102000010
10Colin BlackwellRocket (MTL)C45913229100174882216310.98%851111.37022312000052257.58%48800000.8600000132
11Emile PoirierRocket (MTL)LW45811199280382670183811.43%558212.94033114000090166.67%2400000.6500000020
12Nikita KorostelevRocket (MTL)RW45711181130061288023578.75%459213.1700001000003046.88%3200000.6100000111
13Jake EvansRocket (MTL)C4261117860163942153314.29%74129.8111222900051231161.90%42000000.8200000221
14Matthew SpencerRocket (MTL)D455111623631573186110238.20%36103523.01156301450000139200.00%000000.3100111000
15Thomas GregoireRocket (MTL)D45115161418034344316232.33%54100722.39167191180000133010.00%000000.3200000021
16Christian WolaninMontreal CanadiensD16358-6100153330122310.00%2244327.743032062000064000.00%000000.3600000000
17Felix GirardRocket (MTL)C453365752023315179.68%42325.1600014000082052.22%18000000.5200000201
18Pascal LabergeRocket (MTL)C4523532065146514.29%31904.221016210000420039.02%4100000.5300000000
19Morgan KlimchukRocket (MTL)LW45224460815192910.53%01523.4000001000051146.15%1300000.5200000100
20Nathan NoelRocket (MTL)LW3803357511119580.00%123198.410115260000960032.35%3400000.1900100000
21Conor GarlandRocket (MTL)RW2000020234240.00%04422.0500028000080075.00%400000.0000000000
22Nolan VeseyRocket (MTL)C37000020242040.00%3962.60000160000210058.33%1200000.0000000000
Stats d'équipe Total ou en Moyenne88415728344018753660838775138941093611.30%3181362815.4243811243451845112161500261358.34%420100020.6507614222830
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)45261450.9082.162689059710520100.6676450520
2Ukko-Pekka LuukkonenRocket (MTL)124510.9012.0661301212130010.75041034002
3Alex D'OrioRocket (MTL)10000.8892.402500190000.0000029000
Stats d'équipe Total ou en Moyenne58301960.9072.1533290611912740110.700105563522


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam WilcoxRocket (MTL)G261992-11-26No189 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Alex D'OrioRocket (MTL)G201999-04-28No209 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Ben HarpurRocket (MTL)D241995-01-12No222 Lbs6 ft6NoNoNo1Pro & Farm300,000$0$0$NoLien
Bobby FarnhamRocket (MTL)LW301989-01-21No190 Lbs5 ft10NoNoNo1Pro & Farm300,000$0$0$NoLien
Colin BlackwellRocket (MTL)C261993-03-28No190 Lbs5 ft9NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Conor GarlandRocket (MTL)RW231996-03-11No165 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dan DeSalvoRocket (MTL)RW271992-03-06No171 Lbs5 ft8NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Egor SharangovichRocket (MTL)C211998-06-06No196 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Emile PoirierRocket (MTL)LW241994-12-14No196 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$NoLien
Felix GirardRocket (MTL)C251994-05-09No196 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Jake EvansRocket (MTL)C231996-06-02Yes186 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Julian MelchioriRocket (MTL)D271991-12-06No214 Lbs6 ft5NoNoNo1Pro & Farm300,000$0$0$NoLien
Justin DowlingRocket (MTL)C281990-10-01No180 Lbs5 ft10NoNoNo1Pro & Farm499,994$0$0$NoLien
Matthew SpencerRocket (MTL)D221997-03-24No206 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Max ComtoisRocket (MTL)LW201999-01-08No207 Lbs6 ft2NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Mikhail VorobyevRocket (MTL)C221997-01-05No194 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Morgan KlimchukRocket (MTL)LW241995-03-02No185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Nathan NoelRocket (MTL)LW221997-06-21No174 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Nikita KorostelevRocket (MTL)RW221997-02-08No195 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Nolan VeseyRocket (MTL)C241995-03-28Yes198 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Pascal LabergeRocket (MTL)C211998-04-09Yes172 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Thomas GregoireRocket (MTL)D201998-07-15No170 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Ukko-Pekka LuukkonenRocket (MTL)G201999-03-09Yes196 Lbs6 ft4NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Zach SenyshynRocket (MTL)RW221997-03-30No192 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.46191 Lbs6 ft02.54375,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max ComtoisJake EvansConor Garland40122
2Emile PoirierJustin DowlingZach Senyshyn30122
3Bobby FarnhamMikhail VorobyevDan DeSalvo20122
4Morgan KlimchukEgor SharangovichNikita Korostelev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurJulian Melchiori40122
2Thomas GregoireMatthew Spencer30122
3Ben HarpurJulian Melchiori20122
4Thomas GregoireMatthew Spencer10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max ComtoisJake EvansConor Garland60122
2Emile PoirierJustin DowlingZach Senyshyn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurJulian Melchiori60122
2Thomas GregoireMatthew Spencer40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jake EvansConor Garland60122
2Justin DowlingMax Comtois40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurJulian Melchiori60122
2Thomas GregoireMatthew Spencer40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jake Evans60122Ben HarpurJulian Melchiori60122
2Conor Garland40122Thomas GregoireMatthew Spencer40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jake EvansConor Garland60122
2Justin DowlingMax Comtois40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurJulian Melchiori60122
2Thomas GregoireMatthew Spencer40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max ComtoisJake EvansConor GarlandBen HarpurJulian Melchiori
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max ComtoisJake EvansConor GarlandBen HarpurJulian Melchiori
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin Blackwell, Felix Girard, Pascal LabergeColin Blackwell, Felix GirardPascal Laberge
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Harpur, Julian Melchiori, Thomas GregoireBen HarpurJulian Melchiori, Thomas Gregoire
Tirs de Pénalité
Jake Evans, Conor Garland, Justin Dowling, Max Comtois, Zach Senyshyn
Gardien
#1 : Adam Wilcox, #2 : Ukko-Pekka Luukkonen


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
Total45261400302141100412617600300775126199800002644915570.63314125639705485142012793914544301110613165168192163918.06%2133185.45%1809140957.42%724134953.67%35764755.18%11748381003314540280
_Since Last GM Reset45261400302141100412617600300775126199800002644915570.63314125639705485142012793914544301110613165168192163918.06%2133185.45%1809140957.42%724134953.67%35764755.18%11748381003314540280
_Vs Conference201250030074363812720030042202285300000321616270.6757413821202485142068439145443011459139226371881517.05%921484.78%1809140957.42%724134953.67%35764755.18%11748381003314540280
_Vs Division26200000103704100000000221000001037123.0001017270148514207239145443011391124518112.50%11190.91%0809140957.42%724134953.67%35764755.18%11748381003314540280

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4557W11412563971279106131651681905
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4526140302141100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2617603007751
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
199800026449
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2163918.06%2133185.45%1
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
391454430114851420
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
809140957.42%724134953.67%35764755.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11748381003314540280


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 - 2019-09-0516Rocket1Bruins3LSommaire du Match
5 - 2019-09-0624Rocket2Wolf Pack4LSommaire du Match
10 - 2019-09-1137Devils4Rocket1LSommaire du Match
11 - 2019-09-1244Devils2Rocket3WSommaire du Match
15 - 2019-09-1667Wolf Pack2Rocket3WSommaire du Match
17 - 2019-09-1876Thunderbirds4Rocket3LXSommaire du Match
18 - 2019-09-1982Thunderbirds2Rocket1LXSommaire du Match
21 - 2019-09-22100Rocket6Marlies1WSommaire du Match
25 - 2019-09-26125Rocket1Americans3LSommaire du Match
29 - 2019-09-30137Senators1Rocket2WSommaire du Match
31 - 2019-10-02147Comets3Rocket2LXSommaire du Match
32 - 2019-10-03153Comets3Rocket1LSommaire du Match
36 - 2019-10-07176Rocket4Comets3WSommaire du Match
38 - 2019-10-09182Rocket4Monsters5LSommaire du Match
39 - 2019-10-10192Rocket4Monsters7LSommaire du Match
42 - 2019-10-13212Marlies1Rocket5WSommaire du Match
45 - 2019-10-16230Sound Tigers3Rocket5WSommaire du Match
46 - 2019-10-17239Rocket3Crunch1WSommaire du Match
50 - 2019-10-21259Rocket2Comets4LSommaire du Match
53 - 2019-10-24278Rocket5Checkers0WSommaire du Match
54 - 2019-10-25290Rocket8Checkers1WSommaire du Match
57 - 2019-10-28305Senators4Rocket3LSommaire du Match
59 - 2019-10-30313Phantoms2Rocket3WSommaire du Match
60 - 2019-10-31319Comets1Rocket2WSommaire du Match
66 - 2019-11-06351Rocket2Senators3LXXSommaire du Match
67 - 2019-11-07363Rocket4Marlies1WSommaire du Match
71 - 2019-11-11387Senators0Rocket2WSommaire du Match
73 - 2019-11-13396Crunch2Rocket1LSommaire du Match
74 - 2019-11-14401Crunch3Rocket0LSommaire du Match
80 - 2019-11-20441Marlies1Rocket6WSommaire du Match
81 - 2019-11-21450Marlies1Rocket8WSommaire du Match
86 - 2019-11-26473Rocket2Senators3LXXSommaire du Match
87 - 2019-11-27482Checkers1Rocket7WSommaire du Match
88 - 2019-11-28486Checkers0Rocket3WSommaire du Match
92 - 2019-12-02513Senators3Rocket4WSommaire du Match
94 - 2019-12-04524Americans1Rocket3WSommaire du Match
95 - 2019-12-05532Americans2Rocket1LSommaire du Match
100 - 2019-12-10560Rocket6Moose3WSommaire du Match
102 - 2019-12-12578Rocket4Moose0WSommaire du Match
106 - 2019-12-16599Senators0Rocket1WSommaire du Match
108 - 2019-12-18610Monsters2Rocket3WSommaire du Match
109 - 2019-12-19616Monsters3Rocket4WSommaire du Match
111 - 2019-12-21639Rocket2Thunderbirds3LSommaire du Match
115 - 2019-12-25660Rocket2Phantoms3LSommaire du Match
116 - 2019-12-26672Rocket2Bears1WSommaire du Match
122 - 2020-01-01686Rocket-Marlies-
123 - 2020-01-02697Rocket-Marlies-
129 - 2020-01-08727Senators-Rocket-
130 - 2020-01-09741Rocket-Senators-
134 - 2020-01-13764Rocket-Comets-
136 - 2020-01-15775Rocket-Devils-
137 - 2020-01-16789Rocket-Devils-
139 - 2020-01-18804Rocket-Senators-
141 - 2020-01-20809Rocket-Crunch-
143 - 2020-01-22825Moose-Rocket-
144 - 2020-01-23828Moose-Rocket-
149 - 2020-01-28855Rocket-Monsters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29859Rocket-Monsters-
155 - 2020-02-03893Marlies-Rocket-
157 - 2020-02-05899Marlies-Rocket-
158 - 2020-02-06910Comets-Rocket-
162 - 2020-02-10939Crunch-Rocket-
164 - 2020-02-12947Rocket-Senators-
165 - 2020-02-13959Rocket-Senators-
169 - 2020-02-17980Bruins-Rocket-
171 - 2020-02-19984Rocket-Comets-
172 - 2020-02-201001Rocket-Thunderbirds-
176 - 2020-02-241022Devils-Rocket-
178 - 2020-02-261032Rocket-Americans-
179 - 2020-02-271044Rocket-Marlies-
183 - 2020-03-021066Monsters-Rocket-
185 - 2020-03-041078Monsters-Rocket-
186 - 2020-03-051083Bears-Rocket-
190 - 2020-03-091107Rocket-Sound Tigers-
192 - 2020-03-111117Rocket-Crunch-
193 - 2020-03-121136Rocket-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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
46,703$ 90,000$ 29,560$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 46,703$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 464$ 34,800$




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
14452614003021411004126176003007751261998000026449155714125639705485142012793914544301110613165168192163918.06%2133185.45%1809140957.42%724134953.67%35764755.18%11748381003314540280
Total Saison Régulière452614003021411004126176003007751261998000026449155714125639705485142012793914544301110613165168192163918.06%2133185.45%1809140957.42%724134953.67%35764755.18%11748381003314540280