Rocket

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 20 | GA: 25 | PP%: 15.56% | PK%: 86.27%
DG: Louis-Philippe Deshaies | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #90 vs Griffins
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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
1Antti SuomelaX100.00794393746454716072755766254848655000
2Jonah GadjovichX100.00767676667659605750456463614444625000
3Lias AnderssonXX100.00774491787054715762565581255151645000
4Lukas VejdemoXXX100.00777287647272775670505764544444615000
5Alexandre Texier (R)X100.00674290837163676442657060254747695000
6Ryan CarpenterXX100.00824587777367866074635686256061685000
7Sam CarrickXX100.00706876656876796780617063674646685000
8Marcus SorensenXX100.00714288796466905930636075256163675000
9Trevor LewisXX100.00774490747561675944606069257478645000
10Troy BrouwerXX100.00839384738354625744505867577984625000
11Will BittenXX100.00686087626069735771535659534444595000
12Austin CzarnikXXX100.00655880805865647180657066676263695000
13Sam AnasXX100.00665494665477797080746262594444675000
14Braydon CoburnX100.00804587728464746125474870808592605000
15Radim SimekX100.00844590667271635825514881255555625000
16Joel HanleyX100.00777093727072784925433964375354545000
17Lawrence PilutX100.00714290776169745625394780254848595000
18Otto Leskinen (R)X100.00646170746169745225494056384444535000
19Dakota MermisX100.00854487676777806525505075795555635000
Rayé
1Nick Henry (R)X100.00746985666969744950474660444444545000
2Brett LernoutX100.00808081648066734425313965375555525000
MOYENNE D'ÉQUIPE100.0075578671696673584954556844545562500
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 Wilcox100.0047556969434650534647304444485000
2Vitek Vanecek100.0063637968636564706565304444645000
Rayé
MOYENNE D'ÉQUIPE100.005559746953565762565630444456500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green81848082726777CAN5131,650,000$


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
1Austin CzarnikRocket (MTL)C/LW/RW855101115441731029.41%116821.102356300001432055.56%1800011.1800001110
2Ryan CarpenterRocket (MTL)C/RW82460801232141614.29%216921.242355320000430059.63%21800000.7100000100
3Troy BrouwerRocket (MTL)LW/RW8156-38016593611.11%012015.10022332000020066.67%600000.9900000010
4Marcus SorensenRocket (MTL)LW/RW8145-46051314287.14%014618.290227330000271045.45%1100000.6800000100
5Dakota MermisRocket (MTL)D61450609711469.09%013722.89011730000028000.00%000000.7300000000
6Alexandre TexierRocket (MTL)C8224-300114125816.67%011814.78101533000000045.97%12400000.6800000000
7Jonah GadjovichRocket (MTL)LW8213112013362233.33%2799.9000000000000166.67%300000.7600000001
8Trevor LewisRocket (MTL)C/RW8123-14061355220.00%114618.310223320000250066.67%2400000.4100000000
9Braydon CoburnRocket (MTL)D8112-1409381412.50%817622.12112631000040000.00%000000.2300000000
10Lawrence PilutRocket (MTL)D8202-4608763433.33%516821.10101429000035000.00%000000.2400000001
11Lias AnderssonRocket (MTL)C/LW8112-34071552720.00%110713.47000050000150047.37%7600000.3700000000
12Sam CarrickRocket (MTL)C/RW6022100456520.00%1498.2100000000000055.26%3800000.8100000000
13Sam AnasRocket (MTL)C/RW8022-240277060.00%210913.71000040000150057.69%2600000.3600000000
14Antti SuomelaRocket (MTL)C8011020251000.00%0435.4300016000030060.00%1000000.4600000000
15Radim SimekRocket (MTL)D8011-212022114140.00%417521.94000332000036000.00%000000.1100000000
16Joel HanleyRocket (MTL)D8011-31201310000.00%513416.77000010000015000.00%000000.1500000000
17Lukas VejdemoRocket (MTL)C/LW/RW8101-3606353620.00%18110.210000100000000.00%200000.2400000000
18Otto LeskinenRocket (MTL)D8011040820020.00%510913.7100008000019000.00%000000.1800000010
19Will BittenRocket (MTL)C/RW8000220132120.00%0617.7500000000000075.00%400000.0000000000
Stats d'équipe Total ou en Moyenne148203757-241115148153132418515.15%38230615.58714215035500013503154.46%56000010.4900001332
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
1Vitek VanecekRocket (MTL)83410.8203.2046900251390000.000080000
2Adam WilcoxRocket (MTL)10001.0000.001100010000.000008000
Stats d'équipe Total ou en Moyenne93410.8213.1248100251400000.000088000


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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)G261994-04-25No187 Lbs6 ft0NoNoNo3Pro & Farm808,750$723,962$808,750$723,962$0$0$No808,750$808,750$Lien
Alexandre TexierRocket (MTL)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Antti SuomelaRocket (MTL)C261994-03-17No172 Lbs6 ft0NoNoNo3Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$Lien
Austin CzarnikRocket (MTL)C/LW/RW271992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Braydon CoburnRocket (MTL)D351985-02-27No223 Lbs6 ft5NoNoNo1Pro & Farm2,500,000$2,237,903$2,500,000$2,237,903$0$0$NoLien
Brett LernoutRocket (MTL)D241995-09-23No213 Lbs6 ft4NoNoNo2Pro & Farm850,000$760,887$850,000$760,887$0$0$No850,000$Lien
Dakota MermisRocket (MTL)D261994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Joel HanleyRocket (MTL)D291991-06-08No193 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,074,194$1,200,000$1,074,194$0$0$No1,200,000$Lien
Jonah GadjovichRocket (MTL)LW211998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm863,333$772,822$450,000$402,823$0$0$No863,333$Lien
Lawrence PilutRocket (MTL)D241995-12-29No165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Lias AnderssonRocket (MTL)C/LW211998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm1,744,166$1,561,310$450,000$402,823$0$0$No1,744,166$Lien
Lukas VejdemoRocket (MTL)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$828,024$450,000$402,823$0$0$No925,000$Lien
Marcus SorensenRocket (MTL)LW/RW281992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$Lien
Nick HenryRocket (MTL)RW201999-07-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm826,666$739,999$826,666$739,999$0$0$No826,666$826,666$
Otto LeskinenRocket (MTL)D231997-02-06Yes168 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Radim SimekRocket (MTL)D271992-09-20No205 Lbs5 ft10NoNoNo3Pro & Farm675,000$604,234$675,000$604,234$0$0$No675,000$675,000$Lien
Ryan CarpenterRocket (MTL)C/RW291991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Sam AnasRocket (MTL)C/RW271993-05-31No154 Lbs5 ft8NoNoNo3Pro & Farm675,000$604,234$675,000$604,234$0$0$No675,000$675,000$Lien
Sam CarrickRocket (MTL)C/RW281992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Trevor LewisRocket (MTL)C/RW331987-01-07No205 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$1,790,323$2,000,000$1,790,323$0$0$No2,000,000$Lien
Troy BrouwerRocket (MTL)LW/RW341985-08-17No215 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$2,685,484$3,000,000$2,685,484$0$0$NoLien
Vitek VanecekRocket (MTL)G241996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm863,333$772,822$450,000$402,823$0$0$No863,333$Lien
Will BittenRocket (MTL)C/RW211998-07-10No168 Lbs5 ft10NoNoNo2Pro & Farm910,000$814,597$450,000$402,823$0$0$No910,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.96189 Lbs6 ft01.911,137,663$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis35122
2Marcus SorensenAlexandre TexierTroy Brouwer30122
3Lukas VejdemoLias AnderssonSam Anas25122
4Jonah GadjovichSam CarrickWill Bitten10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis35122
2Radim SimekLawrence Pilut30122
3Joel HanleyOtto Leskinen25122
4Braydon CoburnDakota Mermis10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis60122
2Marcus SorensenAlexandre TexierTroy Brouwer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Carpenter60122Braydon CoburnDakota Mermis60122
2Austin Czarnik40122Radim SimekLawrence Pilut40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnDakota Mermis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnDakota Mermis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Antti Suomela, Lias Andersson, Sam AnasAntti Suomela, Lias AnderssonSam Anas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Hanley, Otto Leskinen, Radim SimekJoel HanleyOtto Leskinen, Radim Simek
Tirs de Pénalité
Ryan Carpenter, Austin Czarnik, Trevor Lewis, Marcus Sorensen, Alexandre Texier
Gardien
#1 : Vitek Vanecek, #2 : Adam Wilcox


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
1Bruins2110000056-12110000056-10000000000020.500510150075802750334903414324812433.33%16287.50%012222354.71%11921954.34%6411854.24%195133188579750
2Griffins2020000048-41010000024-21010000024-200.000481200758042503349037435331715.88%14285.71%012222354.71%11921954.34%6411854.24%195133188579750
3Marlies11000000211000000000001100000021121.000246007580155033490203819200.00%40100.00%012222354.71%11921954.34%6411854.24%195133188579750
4Senators31100100910-1210001007611010000024-230.500915240075804850334904917364814214.29%17382.35%012222354.71%11921954.34%6411854.24%195133188579750
Total834001002025-5522001001416-23120000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
_Since Last GM Reset834001002025-5522001001416-23120000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
_Vs Conference632001001617-142100100121202110000045-170.583162945007580905033490103347611528621.43%37586.49%012222354.71%11921954.34%6411854.24%195133188579750
_Vs Division832001002025-5521001001416-23110000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
87W12037571321403811114800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83401002025
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52201001416
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000069
Derniers 10 Matchs
WLOTWOTL SOWSOL
340100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
45715.56%51786.27%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
50334907580
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
12222354.71%11921954.34%6411854.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
195133188579750


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
1 - 2020-09-274Bruins4Rocket2LSommaire du Match
2 - 2020-09-2816Rocket2Senators4LSommaire du Match
4 - 2020-09-3024Senators3Rocket5WSommaire du Match
5 - 2020-10-0135Rocket2Marlies1WSommaire du Match
6 - 2020-10-0250Rocket2Griffins4LSommaire du Match
8 - 2020-10-0458Senators3Rocket2LXSommaire du Match
11 - 2020-10-0776Griffins4Rocket2LSommaire du Match
13 - 2020-10-0988Bruins2Rocket3WSommaire du Match
14 - 2020-10-1090Rocket-Griffins-
16 - 2020-10-12101Rocket-Marlies-
18 - 2020-10-14112Rocket-Senators-
20 - 2020-10-16122Rocket-Crunch-
21 - 2020-10-17130Marlies-Rocket-
22 - 2020-10-18142Rocket-Griffins-
23 - 2020-10-19153Griffins-Rocket-
25 - 2020-10-21166Marlies-Rocket-
26 - 2020-10-22174Rocket-Bruins-
28 - 2020-10-24194Senators-Rocket-
30 - 2020-10-26203Rampage-Rocket-
32 - 2020-10-28212Rocket-Sound Tigers-
34 - 2020-10-30228Marlies-Rocket-
36 - 2020-11-01237Rocket-Admirals-
38 - 2020-11-03250Rocket-Phantoms-
40 - 2020-11-05259Sharks-Rocket-
43 - 2020-11-08272Rocket-Senators-
44 - 2020-11-09278Sound Tigers-Rocket-
45 - 2020-11-10292Griffins-Rocket-
46 - 2020-11-11299Rocket-Marlies-
47 - 2020-11-12307Rocket-Sound Tigers-
49 - 2020-11-14323Bruins-Rocket-
51 - 2020-11-16334Rocket-Wolf Pack-
52 - 2020-11-17344Rocket-Bruins-
53 - 2020-11-18352Penguins-Rocket-
54 - 2020-11-19366Wolves-Rocket-
56 - 2020-11-21379Rocket-Phantoms-
57 - 2020-11-22389IceHogs-Rocket-
58 - 2020-11-23400Rocket-Crunch-
59 - 2020-11-24411Rocket-Bruins-
60 - 2020-11-25417Crunch-Rocket-
62 - 2020-11-27432Rocket-Bruins-
63 - 2020-11-28439Crunch-Rocket-
65 - 2020-11-30456Admirals-Rocket-
66 - 2020-12-01466Rocket-Condors-
68 - 2020-12-03477Phantoms-Rocket-
69 - 2020-12-04487Rocket-Wolf Pack-
71 - 2020-12-06498Wolf Pack-Rocket-
72 - 2020-12-07512Bruins-Rocket-
74 - 2020-12-09523Rocket-Crunch-
75 - 2020-12-10535Sound Tigers-Rocket-
77 - 2020-12-12550Rocket-Crunch-
78 - 2020-12-13557Senators-Rocket-
79 - 2020-12-14570Rocket-Penguins-
81 - 2020-12-16581Stars-Rocket-
82 - 2020-12-17590Rocket-Soldiers-
84 - 2020-12-19600Flames-Rocket-
85 - 2020-12-20608Rocket-Sharks-
86 - 2020-12-21620Rocket-IceHogs-
88 - 2020-12-23630IceHogs-Rocket-
90 - 2020-12-25643Rocket-Senators-
91 - 2020-12-26653Monarchs-Rocket-
93 - 2020-12-28665Rocket-Monsters-
94 - 2020-12-29675Condors-Rocket-
95 - 2020-12-30689Griffins-Rocket-
96 - 2020-12-31698Rocket-Griffins-
97 - 2021-01-01710Penguins-Rocket-
99 - 2021-01-03721Rocket-Flames-
100 - 2021-01-04730Rocket-Monarchs-
102 - 2021-01-06743Moose-Rocket-
103 - 2021-01-07757Soldiers-Rocket-
105 - 2021-01-09770Rocket-Griffins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10779Bruins-Rocket-
108 - 2021-01-12794Crunch-Rocket-
109 - 2021-01-13802Rocket-Wolves-
111 - 2021-01-15817Marlies-Rocket-
113 - 2021-01-17834Rocket-Stars-
114 - 2021-01-18840Monsters-Rocket-
115 - 2021-01-19850Rocket-Marlies-
116 - 2021-01-20857Rocket-Rampage-
117 - 2021-01-21867Crunch-Rocket-
118 - 2021-01-22876Rocket-Sound Tigers-
121 - 2021-01-25888Monsters-Rocket-
122 - 2021-01-26899Rocket-Moose-



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
447,304$ 2,616,625$ 2,311,042$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 274,326$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 111 34,408$ 3,819,288$




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
2020834001002025-5522001001416-23120000069-3720375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
Total Saison Régulière834001002025-5522001001416-23120000069-3720375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750