Rocket
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Louis-Philippe Deshaies | Morale : 50 | Moyenne d'Équipe : N/A
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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 SPÂgeContratSalaire
1Adam GaudetteXXX100.006552827765628366707872542557577050002332,491,667$
2Antti SuomelaX100.00794393746454716072755766254848655000263700,000$
3Jonah GadjovichX100.00767676667659605750456463614444625000212863,333$
4Lias AnderssonXX100.007744917870547157625655812551516450002121,744,166$
5Lukas VejdemoXXX100.00777287647272775670505764544444615000242925,000$
6Micheal FerlandXX100.009492858079556258267458572565666550002821,750,000$
7Ryan CarpenterXX100.008245877773678660746356862560616850002911,000,000$
8Sam CarrickXX100.007068766568767967806170636746466850002811,000,000$
9Marcus SorensenXX100.00714288796466905930636075256163675000282700,000$
10Trevor LewisXX100.007744907475616759446060692574786450003322,000,000$
11Troy BrouwerXX100.008393847383546257445058675779846250003413,000,000$
12Austin Czarnik (A)XXX100.006558808058656471806570666762636950002711,000,000$
13Sam AnasXX100.00665494665477797080746262594444675000273675,000$
14Braydon Coburn (C)X100.008045877284647461254748708085926050003512,500,000$
15Radim SimekX100.00844590667271635825514881255555625000273675,000$
16Will ButcherX100.006742968468748470256449662561626434002513,775,000$
17Lawrence PilutX100.007142907761697456253947802548485950002411,000,000$
18Brett LernoutX100.00808081648066734425313965375555525000242850,000$
19Dakota MermisX100.008544876767778065255050757955556350002611,000,000$
Rayé
1Will BittenXX100.00686087626069735771535659534444595000212910,000$
2Nick Henry (R)X100.00746985666969744950474660444444545000203826,666$
3Joel HanleyX100.007770937270727849254339643753545450002921,200,000$
MOYENNE D'ÉQUIPE100.0076588772706674594956566843565763490
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 Vanecek100.0063637968636564706565304444644900
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
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


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 GaudetteRocket (MTL)C/LW/RW231996-10-02No170 Lbs6 ft1NoNoNo3Pro & Farm2,491,667$1,491,667$0$0$No1,491,667$1,491,667$Lien
Adam WilcoxRocket (MTL)G261994-04-25No187 Lbs6 ft0NoNoNo3Pro & Farm808,750$808,750$0$0$No808,750$808,750$Lien
Antti SuomelaRocket (MTL)C261994-03-17No172 Lbs6 ft0NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Austin CzarnikRocket (MTL)C/LW/RW271992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Braydon CoburnRocket (MTL)D351985-02-27No223 Lbs6 ft5NoNoNo1Pro & Farm2,500,000$2,500,000$0$0$NoLien
Brett LernoutRocket (MTL)D241995-09-23No213 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Dakota MermisRocket (MTL)D261994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Joel HanleyRocket (MTL)D291991-06-08No193 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$Lien
Jonah GadjovichRocket (MTL)LW211998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm863,333$450,000$0$0$No863,333$Lien
Lawrence PilutRocket (MTL)D241995-12-29No165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Lias AnderssonRocket (MTL)C/LW211998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm1,744,166$450,000$0$0$No1,744,166$Lien
Lukas VejdemoRocket (MTL)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Marcus SorensenRocket (MTL)LW/RW281992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Micheal FerlandRocket (MTL)LW/RW281992-04-19No208 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$Lien
Nick HenryRocket (MTL)RW201999-07-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm826,666$826,666$0$0$No826,666$826,666$
Radim SimekRocket (MTL)D271992-09-20No205 Lbs5 ft10NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$Lien
Ryan CarpenterRocket (MTL)C/RW291991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Sam AnasRocket (MTL)C/RW271993-05-31No154 Lbs5 ft8NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$Lien
Sam CarrickRocket (MTL)C/RW281992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Trevor LewisRocket (MTL)C/RW331987-01-07No205 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$2,000,000$0$0$No2,000,000$Lien
Troy BrouwerRocket (MTL)LW/RW341985-08-17No215 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$3,000,000$0$0$NoLien
Vitek VanecekRocket (MTL)G241996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm863,333$450,000$0$0$No863,333$Lien
Will BittenRocket (MTL)C/RW211998-07-10No168 Lbs5 ft10NoNoNo2Pro & Farm910,000$450,000$0$0$No910,000$Lien
Will ButcherRocket (MTL)D251995-01-06No190 Lbs5 ft10NoNoNo1Pro & Farm3,775,000$3,775,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.25190 Lbs6 ft01.921,344,080$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikAdam GaudetteRyan Carpenter35023
2Micheal FerlandLias AnderssonTroy Brouwer30023
3Marcus SorensenTrevor LewisSam Anas25122
4Jonah GadjovichAntti SuomelaSam Carrick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis35131
2Radim Simek30131
3Lawrence PilutBrett Lernout25131
4Braydon CoburnDakota Mermis10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikAdam GaudetteRyan Carpenter60005
2Marcus SorensenTrevor LewisMicheal Ferland40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon Coburn60032
2Radim SimekLawrence Pilut40041
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Adam GaudetteAustin Czarnik60050
2Ryan CarpenterTrevor Lewis40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60140
2Radim SimekLawrence Pilut40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Adam Gaudette60050Braydon CoburnDakota Mermis60050
2Austin Czarnik40050Radim SimekLawrence Pilut40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Adam GaudetteAustin Czarnik60122
2Ryan CarpenterTrevor Lewis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikAdam GaudetteRyan CarpenterBraydon CoburnDakota Mermis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikAdam GaudetteRyan CarpenterBraydon CoburnDakota Mermis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lias Andersson, Antti Suomela, Sam AnasLias Andersson, Antti SuomelaSam Anas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dakota Mermis, , Radim SimekRadim SimekDakota Mermis, Radim Simek
Tirs de Pénalité
Adam Gaudette, Austin Czarnik, Ryan Carpenter, Trevor Lewis, Marcus Sorensen
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité 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
0$ 3,225,792$ 2,820,209$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 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
Saison Régulière
2020823033025751841777411613003639588741142002212898908818431950318705055151517523471505661476431118414894355713.10%4806486.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
Total Saison Régulière823033025751841777411613003639588741142002212898908818431950318705055151517523471505661476431118414894355713.10%4806486.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523





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