Rocket

GP: 76 | W: 43 | L: 25 | OTL: 8 | P: 94
GF: 236 | GA: 165 | PP%: 13.54% | PK%: 86.44%
DG: Simon Charland | Morale : 61 | Moyenne d'Équipe : 57
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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
1Brad MaloneX100.00795572667974696071555560557172164610
2Emile PoirierX100.00595559687267695550555558557473167590
3Morgan KlimchukX100.00655567696963696050606060555050148590
4Justin DowlingX100.00605563707064766050606160555050145590
5Corey ElkinsX100.00805578558065735550555555557177179580
6Colin Blackwell (R)X100.00675565647364635550555556557473179580
7Felix GirardX100.00575559676762725550555557557374177580
8Dan DeSalvoX100.00585572626159665850575855557169179570
9Conor Garland (R)X100.00565567675859755550555555557271166570
10David DziurzynskiX100.00585558555959685550555555557475165560
11Robin Kovacs (R)X100.00665566626662695550555556555050179560
12Mikhail Vorobyov (R)X100.00795580557954545550555555555050177550
13Jiri HudlerX100.00565555555556565550555555557473120540
14Ben HarpurX100.00835578707376667025616080557373155690
15Christian Wolanin (R)X100.00675575756676536725616165555555179630
16Julian MelchioriX100.00555555605555795525555555557170179570
17Matthew Spencer (R)X100.00555555605555555525555555555555180540
18Tommy VannelliX100.00555555605555555525555555555555167540
Rayé
1Bobby FarnhamX100.00555555555555555550555555557375141540
2Cole SchneiderX100.00565555555757575550555555557466120540
3Justin FontaineX100.00565555555556555550555555556263119530
4Ryan KujawinskiX100.00565555555555555550555555555050119520
5Nathan Noel (R)X100.00565555555555555550555555555050120520
6Nikita Korostelev (R)X100.00565555555555555550555555555050120520
7Zachary Senyshyn (R)X100.00565555555555555550555555555050120520
8Daniel Walcott (R)X100.00555555615555655525555555555555169550
9Julien Brouillette (R)X100.00555555605555655525555555555353149540
MOYENNE D'ÉQUIPE100.0061556261636063574456565755626215556
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 Wilcox100.0064778278656566656966556464174670
2Joe Cannata100.0055737878595960606159555557179610
Rayé
MOYENNE D'ÉQUIPE100.006075807862626363656355606117764
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
1Christian WolaninRocket (MTL)D671639551778095112149529210.74%90170525.4610717962811013293220.00%000000.6401000325
2Justin DowlingRocket (MTL)C6119335227595631331726012411.05%12126620.76211134926301172503154.54%119000000.8225100563
3Brad MaloneRocket (MTL)C66232851239351611991845812612.50%15154623.4358135227501193314362.27%186600000.6627010453
4Morgan KlimchukRocket (MTL)LW60202747166010531041773511211.30%12122520.4259144924301192577150.00%20600000.7725000513
5Emile PoirierRocket (MTL)RW661526412244040701414011010.64%13116417.65011114228601161522353.85%9100000.7001000222
6David DziurzynskiRocket (MTL)LW67142640284959143106347713.21%16114517.10369283010000582058.11%7400000.7000010263
7Julian MelchioriRocket (MTL)D758293718720117499434588.51%84137618.3641014622830000250100.00%000000.5400000201
8Colin BlackwellRocket (MTL)C76132437835575102116298811.21%690411.90178181231013962060.55%75800010.8212001222
9Conor GarlandRocket (MTL)RW66142236202955284124419911.29%3100515.2427933277000002253.85%6500010.7200100512
10Tommy VannelliRocket (MTL)D757243116108201144764184310.94%62142719.03246291860004191100.00%000000.4300121123
11Daniel WalcottRocket (MTL)D766222840895141516322439.52%61161721.28358312780000286100.00%000000.3500001121
12Robin KovacsRocket (MTL)RW7612152753806488129261049.30%892412.172351564000002055.77%5200000.5800000113
13Julien BrouilletteRocket (MTL)D4991625256810703033132527.27%38100420.50718241350001146100.00%000000.5000101211
14Felix GirardRocket (MTL)C76121325143154510694295912.77%76658.760113100003592161.63%50300000.7502010131
15Matthew SpencerRocket (MTL)D76321243210410130554819436.25%59143918.94066241770001221000.00%000000.3300101112
16Corey ElkinsRocket (MTL)C76615211555576638224447.32%1282410.8401144000011183058.99%53400000.5101001002
17Ben HarpurRocket (MTL)D27613191455714956234410.71%3865324.216511441270001131000.00%000010.5800001130
18Bobby FarnhamRocket (MTL)LW4661117-425535387625707.89%564514.042358560000100053.33%3000000.5300010100
19Justin FontaineRocket (MTL)LW2531316146024123916257.69%026410.59134646000011035.29%1700001.2100000100
20Nikita KorostelevRocket (MTL)RW1877141211521173362321.21%121511.96112846000000154.55%1100011.3000001210
21Dan DeSalvoRocket (MTL)C7621012916013342616237.69%83194.211128640001530058.73%12600000.7501000000
22Tommy WingelsMontreal CanadiensRW8561110100121232122215.63%018322.970113270001170067.74%3100001.2002000011
23Mikhail VorobyovRocket (MTL)C766410443545162841021.43%114636.10314104610151822044.68%14100000.4311001111
24Jiri HudlerRocket (MTL)LW293583275720499346.12%038013.1300002000062072.73%1100000.4200000001
25Cole SchneiderRocket (MTL)LW921320046101720.00%0707.8400000000001175.00%400000.8500000000
26Zachary SenyshynRocket (MTL)RW91014605511359.09%2738.13000130000000100.00%200000.2700000000
27Nathan NoelRocket (MTL)C9000220624330.00%3879.680003120000250063.16%1900000.0000000000
Stats d'équipe Total ou en Moyenne14402384506883831203115163015472140652151311.12%5662260215.70601121726503665347553142411558.72%573100040.61828569434140
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)75422580.9112.0745124715617490230.68025751834
2Joe CannataRocket (MTL)21000.9171.3688002240000.0000175000
Stats d'équipe Total ou en Moyenne77432580.9112.0646014715817730230.680257676834


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 Link
Adam WilcoxRocket (MTL)G241992-11-26No201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Ben HarpurRocket (MTL)D221995-01-12No214 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Bobby FarnhamRocket (MTL)LW271989-01-20No190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
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$0$No
Conor GarlandRocket (MTL)RW201996-03-11Yes163 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
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$0$No
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$0$No
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$0$No
Julian MelchioriRocket (MTL)D251991-12-06No214 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Julien BrouilletteRocket (MTL)D301986-12-05Yes185 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Justin DowlingRocket (MTL)C261990-10-01No190 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Justin FontaineRocket (MTL)LW291987-11-06No175 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Matthew SpencerRocket (MTL)D191997-03-24Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Mikhail VorobyovRocket (MTL)C201997-01-05Yes207 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Morgan KlimchukRocket (MTL)LW211995-03-02No180 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Nathan NoelRocket (MTL)C191997-06-21Yes174 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Nikita KorostelevRocket (MTL)RW191997-02-08Yes194 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Robin KovacsRocket (MTL)RW201996-11-16Yes176 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Ryan KujawinskiRocket (MTL)C211995-03-30No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Tommy VannelliRocket (MTL)D211995-01-26No165 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Zachary SenyshynRocket (MTL)RW191997-03-30Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.69191 Lbs6 ft02.45403,448$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Morgan KlimchukBrad MaloneEmile Poirier40122
2David DziurzynskiJustin DowlingConor Garland30122
3Jiri HudlerCorey ElkinsRobin Kovacs20122
4Brad MaloneFelix GirardMorgan Klimchuk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurChristian Wolanin40122
2Julian Melchiori30122
3Tommy VannelliMatthew Spencer20122
4Ben HarpurChristian Wolanin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Morgan KlimchukBrad MaloneEmile Poirier60122
2David DziurzynskiJustin DowlingConor Garland40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurChristian Wolanin60122
2Julian Melchiori40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad MaloneMorgan Klimchuk60122
2Justin DowlingEmile Poirier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurChristian Wolanin60122
2Julian Melchiori40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brad Malone60122Ben HarpurChristian Wolanin60122
2Morgan Klimchuk40122Julian Melchiori40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brad MaloneMorgan Klimchuk60122
2Justin DowlingEmile Poirier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurChristian Wolanin60122
2Julian Melchiori40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Morgan KlimchukBrad MaloneEmile PoirierBen HarpurChristian Wolanin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Morgan KlimchukBrad MaloneEmile PoirierBen HarpurChristian Wolanin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin Blackwell, Dan DeSalvo, Mikhail VorobyovColin Blackwell, Dan DeSalvoMikhail Vorobyov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tommy Vannelli, Matthew Spencer, Julian MelchioriTommy VannelliMatthew Spencer, Julian Melchiori
Tirs de Pénalité
Brad Malone, Morgan Klimchuk, Justin Dowling, 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
Total763725034342361657138171600113120873338209033211167838940.618236429665371016267112069731644673471776518117615644215713.54%4506186.44%31402231660.54%1282227156.45%678109062.20%200414161680537922483
_Since Last GM Reset763725034342361657138171600113120873338209033211167838940.618236429665371016267112069731644673471776518117615644215713.54%4506186.44%31402231660.54%1282227156.45%678109062.20%200414161680537922483
_Vs Conference3021301212132567615112001017027431510101111622933500.833132236368041016267111044731644673476872024466621402920.71%1621888.89%31402231660.54%1282227156.45%678109062.20%200414161680537922483
_Vs Division41030000113762520000066025100001716212.62513223501101626711131731644673478823598530413.33%23386.96%01402231660.54%1282227156.45%678109062.20%200414161680537922483

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7694W1236429665206917765181176156437
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7637253434236165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
381716011312087
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38209332111678
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4215713.54%4506186.44%3
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
73164467347101626711
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
1402231660.54%1282227156.45%678109062.20%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
200414161680537922483


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 - 2018-11-14387Senators2Rocket1LXXSommaire du Match
73 - 2018-11-16396Crunch3Rocket1LSommaire du Match
74 - 2018-11-17401Crunch4Rocket2LSommaire du Match
80 - 2018-11-23441Marlies0Rocket9WSommaire du Match
81 - 2018-11-24450Marlies2Rocket5WSommaire du Match
86 - 2018-11-29473Rocket3Senators2WSommaire du Match
87 - 2018-11-30482Checkers2Rocket5WSommaire du Match
88 - 2018-12-01486Checkers0Rocket8WSommaire du Match
92 - 2018-12-05513Senators2Rocket1LSommaire du Match
94 - 2018-12-07524Americans4Rocket0LSommaire du Match
95 - 2018-12-08532Americans3Rocket1LSommaire du Match
100 - 2018-12-13560Rocket4Moose0WSommaire du Match
102 - 2018-12-15578Rocket3Moose1WSommaire du Match
106 - 2018-12-19599Senators4Rocket0LSommaire du Match
108 - 2018-12-21610Monsters3Rocket2LSommaire du Match
109 - 2018-12-22616Monsters5Rocket3LSommaire du Match
111 - 2018-12-24639Rocket5Thunderbirds4WXSommaire du Match
115 - 2018-12-28660Rocket1Phantoms2LSommaire du Match
116 - 2018-12-29672Rocket2Bears1WSommaire du Match
122 - 2019-01-04686Rocket4Marlies2WSommaire du Match
123 - 2019-01-05697Rocket4Marlies1WSommaire du Match
129 - 2019-01-11727Senators1Rocket3WSommaire du Match
130 - 2019-01-12741Rocket3Senators2WXSommaire du Match
134 - 2019-01-16764Rocket2Comets3LXSommaire du Match
136 - 2019-01-18775Rocket2Devils3LXSommaire du Match
137 - 2019-01-19789Rocket2Devils4LSommaire du Match
139 - 2019-01-21804Rocket2Senators1WXXSommaire du Match
141 - 2019-01-23809Rocket5Crunch4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25825Moose3Rocket2LSommaire du Match
144 - 2019-01-26828Moose3Rocket4WXXSommaire du Match
149 - 2019-01-31855Rocket5Monsters4WSommaire du Match
150 - 2019-02-01859Rocket2Monsters1WSommaire du Match
155 - 2019-02-06893Marlies1Rocket5WSommaire du Match
157 - 2019-02-08899Marlies0Rocket6WSommaire du Match
158 - 2019-02-09910Comets3Rocket2LXSommaire du Match
162 - 2019-02-13939Crunch3Rocket0LSommaire du Match
164 - 2019-02-15947Rocket1Senators2LSommaire du Match
165 - 2019-02-16959Rocket0Senators1LSommaire du Match
169 - 2019-02-20980Bruins2Rocket0LSommaire du Match
171 - 2019-02-22984Rocket5Comets2WSommaire du Match
172 - 2019-02-231001Rocket5Thunderbirds2WSommaire du Match
176 - 2019-02-271022Devils3Rocket1LSommaire du Match
178 - 2019-03-011032Rocket3Americans4LXXSommaire du Match
179 - 2019-03-021044Rocket4Marlies1WSommaire du Match
183 - 2019-03-061066Monsters2Rocket3WSommaire du Match
185 - 2019-03-081078Monsters2Rocket5WSommaire du Match
186 - 2019-03-091083Bears4Rocket2LSommaire du Match
190 - 2019-03-131107Rocket0Sound Tigers3LSommaire du Match
192 - 2019-03-151117Rocket1Crunch3LSommaire du Match
193 - 2019-03-161136Rocket2Devils0WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
113,322$ 117,000$ 68,810$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 113,275$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 603$ 0$




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
1376372503434236165713817160011312087333820903321116783894236429665371016267112069731644673471776518117615644215713.54%4506186.44%31402231660.54%1282227156.45%678109062.20%200414161680537922483
Total Saison Régulière76372503434236165713817160011312087333820903321116783894236429665371016267112069731644673471776518117615644215713.54%4506186.44%31402231660.54%1282227156.45%678109062.20%200414161680537922483
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