Rocket

GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 10 | GA: 9 | PP%: 11.43% | PK%: 64.71%
DG: Simon Charland | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #67 vs Wolf Pack
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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
1Dan DeSalvoX100.0058557262615966585057585555716914800
2Corey ElkinsX100.0080557855806573555055555555717714800
3David DziurzynskiX100.0058555855595968555055555555747514500
4Mikhail Vorobyov (R)X100.0079558055795454555055555555505014800
5Ryan KujawinskiX100.0056555555555555555055555555505015100
6Nathan Noel (R)X100.0056555555555555555055555555505014800
7Nikita Korostelev (R)X100.0056555555555555555055555555505014800
8Robin Kovacs (R)X100.0066556662666269555055555655505014800
9Justin FontaineX100.0056555555555655555055555555626314800
10Colin Blackwell (R)X100.0067556564736463555055555655747314800
11Justin DowlingX100.0060556370706476605060616055505014800
12Zachary Senyshyn (R)X100.0056555555555555555055555555505014800
13Felix GirardX100.0057555967676272555055555755737414500
14Julien Brouillette (R)X100.0055555560555565552555555555535314800
15Christian Wolanin (R)X100.0067557575667653672561616555555514800
16Daniel Walcott (R)X100.0055555561555565552555555555555514800
17Matthew Spencer (R)X100.0055555560555555552555555555555514900
18Tommy VannelliX100.0055555560555555552555555555555514800
Rayé
1Bobby FarnhamX100.0055555555555555555055555555737514600
2Brad MaloneX100.0079557266797469607155556055717214600
3Cole SchneiderX100.0056555555575757555055555555746614600
4Emile PoirierX100.0059555968726769555055555855747314600
5Morgan KlimchukX100.0065556769696369605060606055505014600
6Conor Garland (R)X100.0056556767585975555055555555727114600
7Jiri HudlerX100.0056555555555656555055555555747314600
8Stefan FournierX100.0055555660787364555055555555505014600
MOYENNE D'ÉQUIPE100.006155616163606256465656565561611470
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 Wilcox100.006477827865656665696655646414800
2Joe Cannata100.005573787859596060615955555714800
Rayé
MOYENNE D'ÉQUIPE100.00607580786262636365635560611480
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
1Justin FontaineRocket (MTL)LW41451203213367.69%07218.12112527000000014.29%700001.3800000000
2Julien BrouilletteRocket (MTL)D42243605473328.57%08521.5010152500006000.00%000000.9300000001
3Nikita KorostelevRocket (MTL)RW40332008410260.00%06917.38011627000000025.00%400000.8600000000
4Colin BlackwellRocket (MTL)C421310056143614.29%09323.42011726000190056.45%6200000.6400000100
5Dan DeSalvoRocket (MTL)C411212011046525.00%14812.08000211000030060.00%2500000.8300000000
6David DziurzynskiRocket (MTL)LW4112-1753372214.29%07919.99112229000020066.67%1200000.5000010000
7Mikhail VorobyovRocket (MTL)C42021203340150.00%1246.0810115000031050.00%1000001.6400000010
8Robin KovacsRocket (MTL)RW4022-1007412390.00%17719.40022531000000050.00%600000.5200000000
9Daniel WalcottRocket (MTL)D4022200324270.00%38721.76000224000010000.00%000000.4600000000
10Tommy VannelliRocket (MTL)D4022140234130.00%18822.2001142700006000.00%000000.4500000000
11Corey ElkinsRocket (MTL)C4011120822230.00%04010.2400000000090059.26%2700000.4900000000
12Christian WolaninRocket (MTL)D4011180798550.00%310426.2301162900009000.00%000000.1900000000
13Felix GirardRocket (MTL)C4101255612104110.00%16416.1400000000080061.54%3900000.3100010010
14Nathan NoelRocket (MTL)C4000220302120.00%1399.8100017000070044.44%900000.0000000000
15Justin DowlingRocket (MTL)C400014071112280.00%29323.39000626000090055.00%10000000.0000000000
16Zachary SenyshynRocket (MTL)RW4000100113120.00%0348.56000010000000100.00%200000.0000000000
17Matthew SpencerRocket (MTL)D4000-295755020.00%46917.3400031100007000.00%000000.0000001000
Stats d'équipe Total ou en Moyenne68102030165315798112140718.26%18117417.274812553120001951055.78%30300000.5100021121
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)41210.8901.98242008730010.000040000
Stats d'équipe Total ou en Moyenne41210.8901.98242008730010.000040000


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 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$0$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$300,000$
Morgan KlimchukRocket (MTL)LW211995-03-02No180 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
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$
Stefan FournierRocket (MTL)RW241992-04-29No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Tommy VannelliRocket (MTL)D211995-01-26No165 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
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
2823.71190 Lbs6 ft02.43407,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David DziurzynskiJustin DowlingRobin Kovacs40122
2Justin FontaineColin BlackwellNikita Korostelev30122
3Justin DowlingFelix GirardZachary Senyshyn20122
4Colin BlackwellCorey ElkinsFelix Girard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninTommy Vannelli40122
2Julien BrouilletteDaniel Walcott30122
3Matthew SpencerChristian Wolanin20122
4Tommy VannelliJulien Brouillette10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David DziurzynskiJustin DowlingRobin Kovacs60122
2Justin FontaineColin BlackwellNikita Korostelev40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninTommy Vannelli60122
2Julien BrouilletteDaniel Walcott40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin DowlingColin Blackwell60122
2Felix GirardCorey Elkins40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninTommy Vannelli60122
2Julien BrouilletteDaniel Walcott40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Dowling60122Christian WolaninTommy Vannelli60122
2Colin Blackwell40122Julien BrouilletteDaniel Walcott40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin DowlingColin Blackwell60122
2Felix GirardCorey Elkins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninTommy Vannelli60122
2Julien BrouilletteDaniel Walcott40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David DziurzynskiJustin DowlingRobin KovacsChristian WolaninTommy Vannelli
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David DziurzynskiJustin DowlingRobin KovacsChristian WolaninTommy Vannelli
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dan DeSalvo, Mikhail Vorobyov, Nathan NoelDan DeSalvo, Mikhail VorobyovNathan Noel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matthew Spencer, Daniel Walcott, Christian WolaninMatthew SpencerDaniel Walcott, Christian Wolanin
Tirs de Pénalité
Justin Dowling, Colin Blackwell, Felix Girard, Corey Elkins, Dan DeSalvo
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
Total4120010010912020000025-32100010084430.37510203010316012139384317418537935411.43%17664.71%08414557.93%5210350.49%335164.71%1117781305027
_Since Last GM Reset4120010010912020000025-32100010084430.37510203010316012139384317418537935411.43%17664.71%08414557.93%5210350.49%335164.71%1117781305027

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
43L21020301217418537910
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4120100109
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000025
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
210010084
Derniers 10 Matchs
WLOTWOTL SOWSOL
120100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
35411.43%17664.71%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
39384313160
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
8414557.93%5210350.49%335164.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1117781305027


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 Pack-Rocket-
17 - 2018-09-2176Thunderbirds-Rocket-
18 - 2018-09-2282Thunderbirds-Rocket-
21 - 2018-09-25100Rocket-Marlies-
25 - 2018-09-29125Rocket-Americans-
29 - 2018-10-03137Senators-Rocket-
31 - 2018-10-05147Comets-Rocket-
32 - 2018-10-06153Comets-Rocket-
36 - 2018-10-10176Rocket-Comets-
38 - 2018-10-12182Rocket-Monsters-
39 - 2018-10-13192Rocket-Monsters-
42 - 2018-10-16212Marlies-Rocket-
45 - 2018-10-19230Sound Tigers-Rocket-
46 - 2018-10-20239Rocket-Crunch-
50 - 2018-10-24259Rocket-Comets-
53 - 2018-10-27278Rocket-Checkers-
54 - 2018-10-28290Rocket-Checkers-
57 - 2018-10-31305Senators-Rocket-
59 - 2018-11-02313Phantoms-Rocket-
60 - 2018-11-03319Comets-Rocket-
66 - 2018-11-09351Rocket-Senators-
67 - 2018-11-10363Rocket-Marlies-
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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
8,232$ 114,000$ 63,810$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 8,232$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 180 588$ 105,840$




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
134120010010912020000025-321000100844310203010316012139384317418537935411.43%17664.71%08414557.93%5210350.49%335164.71%1117781305027
Total Saison Régulière4120010010912020000025-321000100844310203010316012139384317418537935411.43%17664.71%08414557.93%5210350.49%335164.71%1117781305027
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