Rocket

GP: 6 | W: 2 | L: 3 | OTL: 1 | P: 5
GF: 13 | GA: 19 | PP%: 24.14% | PK%: 85.71%
DG: Simon Charland | Morale : 47 | Moyenne d'Équipe : 59
Prochain matchs #82 vs Thunderbirds
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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
1Zach SenyshynX100.005635935776827156535860575663628448590
2Egor SharangovichX100.006436925580939154615253565461636248590
3Mikhail VorobyevX100.005737896079756558665957605363625647590
4Bobby FarnhamX100.005443705768939056575451525378705548580
5Emile PoirierX100.006438855680787255585453565769657948580
6Colin BlackwellX100.005536905867766557625657585571665348580
7Felix GirardX100.005841775672939155585451535269656348580
8Dan DeSalvoX100.005437805968716458615756545864615448570
9Morgan KlimchukX100.005739825671837755565355545567647848570
10Pascal Laberge (R)X100.005539815772756956535459565861636448570
11Nikita KorostelevX100.006635715873706558535152545963586148560
12Nolan Vesey (R)X100.006138865474767053575450535267646148560
13Nathan NoelX100.005441775556878154555251535263626448550
14Christian WolaninX100.005937887177846970307466635267655948660
15Ben HarpurX100.008375695897836456305952685167645949650
16Julian MelchioriX100.007639825492908553305252594575685348630
17Matthew SpencerX100.006445725382727252305757565563585248580
18Thomas GregoireX100.005634805571767255305652554564655348580
Rayé
MOYENNE D'ÉQUIPE100.00614081577581745650565557536664624859
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 Wilcox100.00727371727170727170727173774648700
2Alex D'Orio100.00616361826059616059616061645448610
Rayé
MOYENNE D'ÉQUIPE100.0067686677666567666567666771504866
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'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
1Emile PoirierRocket (MTL)LW6055-240412230.00%39215.4403304000060075.00%400001.0800000000
2Ben HarpurRocket (MTL)D6224-521519671628.57%814624.47213425000021110.00%000000.5400001010
3Dan DeSalvoRocket (MTL)RW6224-460281001020.00%19816.40123319000000042.86%700000.8100000100
4Julian MelchioriRocket (MTL)D6224-26013163733.33%1016126.91112420000022000.00%000000.5000000000
5Colin BlackwellRocket (MTL)C6134-34047751014.29%08814.7402213000010147.50%8000000.9000000011
6Zach SenyshynRocket (MTL)RW621312036114918.18%112220.450111260000231050.00%2000000.4900000001
7Mikhail VorobyevRocket (MTL)C5123-4404413277.69%19719.451014170000130053.49%8600000.6200000000
8Christian WolaninRocket (MTL)D6112-42041211249.09%316227.04101823000027000.00%000000.2500000000
9Nikita KorostelevRocket (MTL)RW6101-3003211209.09%08013.4200000000000075.00%400000.2500000000
10Matthew SpencerRocket (MTL)D6011120865130.00%412120.20000418000022000.00%000000.1700000000
11Max ComtoisMontreal CanadiensLW50110209917360.00%011823.760004230000230041.67%4800000.1700000000
12Pascal LabergeRocket (MTL)C6101-1000231133.33%0142.3610113000030066.67%600001.4200000000
13Thomas GregoireRocket (MTL)D6011-420051300.00%811118.5701107000019000.00%000000.1800000000
14Bobby FarnhamRocket (MTL)LW6000-5100776130.00%39716.33000217000020044.44%900000.0000000000
15Morgan KlimchukRocket (MTL)LW6000060023010.00%0294.86000000000000100.00%300000.0000000000
16Nathan NoelRocket (MTL)LW6000-100110100.00%0233.9800000000012000.00%500000.0000000000
17Egor SharangovichRocket (MTL)C6000060867550.00%113422.360001260000320036.64%13100000.0000000000
18Felix GirardRocket (MTL)C6000-100053110.00%1274.6200000000000045.45%3300000.0000000000
19Nolan VeseyRocket (MTL)C6000000000000.00%050.910000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne112132134-377758990123377610.57%44173415.48711183723700002342245.08%43700000.3900001122
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)62310.8663.1736000191420000.000060000
Stats d'équipe Total ou en Moyenne62310.8663.1736000191420000.000060000


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)G261992-11-26No189 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Alex D'OrioRocket (MTL)G201999-04-28No209 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Ben HarpurRocket (MTL)D241995-01-12No222 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Bobby FarnhamRocket (MTL)LW301989-01-21No190 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Christian WolaninRocket (MTL)D241995-03-17No185 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Colin BlackwellRocket (MTL)C261993-03-28No190 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Dan DeSalvoRocket (MTL)RW271992-03-06No171 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Egor SharangovichRocket (MTL)C211998-06-06No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Emile PoirierRocket (MTL)LW241994-12-14No196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Felix GirardRocket (MTL)C251994-05-09No196 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Julian MelchioriRocket (MTL)D271991-12-06No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Matthew SpencerRocket (MTL)D221997-03-24No206 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Mikhail VorobyevRocket (MTL)C221997-01-05No194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Morgan KlimchukRocket (MTL)LW241995-03-02No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Nathan NoelRocket (MTL)LW221997-06-21No174 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Nikita KorostelevRocket (MTL)RW221997-02-08No195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Nolan VeseyRocket (MTL)C241995-03-28Yes198 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Pascal LabergeRocket (MTL)C211998-04-09Yes172 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Thomas GregoireRocket (MTL)D201998-07-15No170 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Zach SenyshynRocket (MTL)RW221997-03-30No192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2023.65192 Lbs6 ft02.45330,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emile PoirierEgor SharangovichZach Senyshyn40122
2Bobby FarnhamMikhail VorobyevDan DeSalvo30122
3Morgan KlimchukColin BlackwellNikita Korostelev20122
4Nathan NoelFelix GirardEgor Sharangovich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBen Harpur40122
2Julian MelchioriThomas Gregoire30122
3Matthew SpencerChristian Wolanin20122
4Ben HarpurJulian Melchiori10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emile PoirierEgor SharangovichZach Senyshyn60122
2Bobby FarnhamMikhail VorobyevDan DeSalvo40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBen Harpur60122
2Julian MelchioriThomas Gregoire40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Egor SharangovichZach Senyshyn60122
2Mikhail VorobyevEmile Poirier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBen Harpur60122
2Julian MelchioriThomas Gregoire40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Egor Sharangovich60122Christian WolaninBen Harpur60122
2Zach Senyshyn40122Julian MelchioriThomas Gregoire40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Egor SharangovichZach Senyshyn60122
2Mikhail VorobyevEmile Poirier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBen Harpur60122
2Julian MelchioriThomas Gregoire40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emile PoirierEgor SharangovichZach SenyshynChristian WolaninBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emile PoirierEgor SharangovichZach SenyshynChristian WolaninBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Pascal Laberge, Nolan Vesey, Colin BlackwellPascal Laberge, Nolan VeseyColin Blackwell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matthew Spencer, Thomas Gregoire, Christian WolaninMatthew SpencerThomas Gregoire, Christian Wolanin
Tirs de Pénalité
Egor Sharangovich, Zach Senyshyn, Mikhail Vorobyev, Emile Poirier, Bobby Farnham
Gardien
#1 : Adam Wilcox, #2 : Alex D'Orio


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
Total623001001319-6421001001012-22020000037-450.417132134003640123434931014244778929724.14%35585.71%07215745.86%8918947.09%369040.00%13389154457235
_Since Last GM Reset623001001319-6421001001012-22020000037-450.417132134003640123434931014244778929724.14%35585.71%07215745.86%8918947.09%369040.00%13389154457235
_Vs Conference1000010034-11000010034-10000000000010.500358003640254349310291414184250.00%7185.71%07215745.86%8918947.09%369040.00%13389154457235

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
65OTL113213412314244778900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62301001319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42101001012
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000037
Derniers 10 Matchs
WLOTWOTL SOWSOL
230100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29724.14%35585.71%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
43493103640
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
7215745.86%8918947.09%369040.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13389154457235


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 - 2019-09-1982Thunderbirds-Rocket-
21 - 2019-09-22100Rocket-Marlies-
25 - 2019-09-26125Rocket-Americans-
29 - 2019-09-30137Senators-Rocket-
31 - 2019-10-02147Comets-Rocket-
32 - 2019-10-03153Comets-Rocket-
36 - 2019-10-07176Rocket-Comets-
38 - 2019-10-09182Rocket-Monsters-
39 - 2019-10-10192Rocket-Monsters-
42 - 2019-10-13212Marlies-Rocket-
45 - 2019-10-16230Sound Tigers-Rocket-
46 - 2019-10-17239Rocket-Crunch-
50 - 2019-10-21259Rocket-Comets-
53 - 2019-10-24278Rocket-Checkers-
54 - 2019-10-25290Rocket-Checkers-
57 - 2019-10-28305Senators-Rocket-
59 - 2019-10-30313Phantoms-Rocket-
60 - 2019-10-31319Comets-Rocket-
66 - 2019-11-06351Rocket-Senators-
67 - 2019-11-07363Rocket-Marlies-
71 - 2019-11-11387Senators-Rocket-
73 - 2019-11-13396Crunch-Rocket-
74 - 2019-11-14401Crunch-Rocket-
80 - 2019-11-20441Marlies-Rocket-
81 - 2019-11-21450Marlies-Rocket-
86 - 2019-11-26473Rocket-Senators-
87 - 2019-11-27482Checkers-Rocket-
88 - 2019-11-28486Checkers-Rocket-
92 - 2019-12-02513Senators-Rocket-
94 - 2019-12-04524Americans-Rocket-
95 - 2019-12-05532Americans-Rocket-
100 - 2019-12-10560Rocket-Moose-
102 - 2019-12-12578Rocket-Moose-
106 - 2019-12-16599Senators-Rocket-
108 - 2019-12-18610Monsters-Rocket-
109 - 2019-12-19616Monsters-Rocket-
111 - 2019-12-21639Rocket-Thunderbirds-
115 - 2019-12-25660Rocket-Phantoms-
116 - 2019-12-26672Rocket-Bears-
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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
6,438$ 66,000$ 29,560$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 6,438$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 177 340$ 60,180$




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
14623001001319-6421001001012-22020000037-45132134003640123434931014244778929724.14%35585.71%07215745.86%8918947.09%369040.00%13389154457235
Total Saison Régulière623001001319-6421001001012-22020000037-45132134003640123434931014244778929724.14%35585.71%07215745.86%8918947.09%369040.00%13389154457235