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LHSRSM


Rocket
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Mathieu Girard | Morale : 50 | Moyenne d'Équipe : 62
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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
1Tom KuhnhacklXX100.00674283648174676359626169647566038640271850,000$
2Henrik BorgstromX100.006443866483807766736159636665620506302211,491,666$
3Jason RobertsonX100.00664690668579746356616164636162050630203894,167$
4Riley TufteX100.00845585589985875652555362586362052620213995,833$
5Kieffer BellowsX100.006350846176838059525760586163650506102121,106,666$
6Taro HiroseX100.005639876465757163586459576367640506102311,350,000$
7Alexander Chmelevski (R)X100.00554587607179785963615856596163050600203927,500$
8Matthew PhillipsX100.00533987615783786258605957626361050600212750,000$
9Shane GersichX100.00554986587087895653545557566764050590231700,000$
10Jonas SiegenthalerX100.00694576638582796230695484486564041650221888,333$
11Adam BoqvistX100.006339887069767268306661595261620506401931,744,167$
12Kyle WoodX100.00865584599988875830575462466764050630231700,000$
13Sami NikuX100.00584288667375696430655863546764050630221916,666$
14Cal FooteX100.007655865991899258305755604663620506202021,425,000$
15Kyle CapobiancoX100.00614784647779736230635961556562050620221894,166$
16Louie BelpedioX100.00594984617281806230605963556764050620231700,000$
Rayé
1Pavel ShenX100.00584189567476755560535457566162050580203925,000$
2David QuennevilleX100.00534187566673725430555253456362050570212925,000$
MOYENNE D'ÉQUIPE100.0064468662778078614660576156656304962
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
1Cayden Primeau100.0077828083767577767577766165050660
2Alex Nedeljkovic100.0076706872757476757476756771050650
Rayé
1Artyom Zagidulin100.0072797776717072717072716973050640
MOYENNE D'ÉQUIPE100.007577757774737574737574667005065
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Cap 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 BoqvistRocket (MTL)D192000-08-15No179 Lbs5 ft11NoNoNo3Pro & Farm1,744,167$0$0$No1,744,167$1,744,167$Lien
Alex NedeljkovicRocket (MTL)G231996-01-07No189 Lbs6 ft0NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien / Lien NHL
Alexander ChmelevskiRocket (MTL)C201999-06-09Yes180 Lbs6 ft0NoNoNo3Pro & Farm927,500$0$0$No927,500$927,500$
Artyom ZagidulinRocket (MTL)G241995-08-08No180 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien
Cal FooteRocket (MTL)D201998-12-13No221 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$0$0$No1,425,000$Lien / Lien NHL
Cayden PrimeauRocket (MTL)G201999-08-11No198 Lbs6 ft3NoNoNo3Pro & Farm966,666$0$0$No966,666$966,666$Lien
David QuennevilleRocket (MTL)D211998-03-13No189 Lbs5 ft8NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Henrik BorgstromRocket (MTL)C221997-08-06No199 Lbs6 ft3NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Jason RobertsonRocket (MTL)LW201999-07-22No210 Lbs6 ft3NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Jonas SiegenthalerRocket (MTL)D221997-05-06No210 Lbs6 ft3NoNoNo1Pro & Farm888,333$0$0$NoLien / Lien NHL
Kieffer BellowsRocket (MTL)LW211998-06-10No195 Lbs6 ft1NoNoNo2Pro & Farm1,106,666$0$0$No1,106,666$Lien / Lien NHL
Kyle CapobiancoRocket (MTL)D221997-08-13No196 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Kyle WoodRocket (MTL)D231996-05-04No235 Lbs6 ft7NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Louie BelpedioRocket (MTL)D231996-05-14No196 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matthew PhillipsRocket (MTL)RW211998-04-06No140 Lbs5 ft7NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Pavel ShenRocket (MTL)C201999-08-14No183 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Riley TufteRocket (MTL)LW211998-04-10No235 Lbs6 ft6NoNoNo3Pro & Farm995,833$0$0$No995,833$995,833$Lien
Sami NikuRocket (MTL)D221996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm916,666$0$0$NoLien / Lien NHL
Shane GersichRocket (MTL)LW231996-07-10No180 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Taro HiroseRocket (MTL)LW231996-06-30No162 Lbs5 ft10NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Tom KuhnhacklRocket (MTL)LW/RW271992-01-21No196 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2121.76193 Lbs6 ft11.81991,111$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason Robertson30122
2Riley TufteMatthew Phillips30122
3Taro HiroseHenrik BorgstromKieffer Bellows25122
4Kieffer BellowsAlexander Chmelevski15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku30122
2Kyle WoodCal Foote30122
3Louie BelpedioKyle Capobianco25122
4Adam BoqvistSami Niku15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason Robertson60122
2Riley TufteMatthew Phillips40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason Robertson60122
2Henrik Borgstrom40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Adam BoqvistSami Niku60122
2Jason Robertson40122Kyle WoodCal Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jason Robertson60122
2Henrik Borgstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonAdam BoqvistSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonAdam BoqvistSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shane Gersich, Taro Hirose, Alexander ChmelevskiShane Gersich, Taro HiroseAlexander Chmelevski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Louie Belpedio, Kyle Capobianco, Kyle WoodLouie BelpedioKyle Capobianco, Kyle Wood
Tirs de Pénalité
, Jason Robertson, , Henrik Borgstrom, Riley Tufte
Gardien
#1 : Cayden Primeau, #2 : Alex Nedeljkovic


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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,081,335$ 1,056,668$ 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$ 8 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
28230400243329027911411918002111441242041112202222146155-960290493783141358664929851003953100343253468260912763537320.68%2434780.66%41624286056.78%1266238753.04%779132958.62%2036144818875941036517
38244240043726019367412114002131279829412310002241339538882604457052510680714312310061018106765221766095415403225617.39%3736183.65%61881304761.73%1467253457.89%776127061.10%2196155917385781045546
482283800493199234-354112210034199119-2041161700152100115-1556199327526127470461421206956707386326167171266175456612321.73%4909580.61%11247272545.76%1105297737.12%481118640.56%2054142019336141001504
58266501253158390-232414310013281185-104412340112177205-1281215826442200635138102072665683702514019118525516881965528.06%1023466.67%3625212429.43%821312526.27%332129625.62%14469982586587938403
68227600202163625-462411370020194310-216411390000169315-2464163306469006845500243083075682227639618732061997133139.77%882472.73%0659214330.75%990371226.67%408149427.31%10887132962581884338
7823531081162732284541221504000142100424113160411613112837027350778024104907011322510741034107566265577450619812355925.11%2314082.68%31923327358.75%1522285453.33%699128254.52%2187157717505611040544
8824525021453632301334121140112217411856412411010231891127790363663102607151122849373112511229122856276478348220501713621.05%1983681.82%61659315252.63%1329279347.58%702137251.17%229217221698514983515
8824525021453632301334121140112217411856412411010231891127790363663102607151122849373112511229122856276478348220501713621.05%1983681.82%61659315252.63%1329279347.58%702137251.17%229217221698514983515
98234330410102742704411818010041441301441161503106130140-108727449777134104759192972964966101373286681457419971994020.10%2174678.80%11478297049.76%1412295447.80%687132951.69%2088149218525661037529
Total Saison Régulière73826935701920294423432679-3363691391820712131611791302-1233691301750128162811641377-2135572343416565089339567415987526389873985388876500288318271533416333234649120.93%214041980.42%30127552544650.13%112412612943.02%55661193046.66%176831265618107511389494414
Séries
2404000001021-1120200000511-620200000510-5010192900262010522473511183540588337.50%9188.89%05510154.46%4810944.04%327841.03%8358104305324
3514000001018-831200000712-52020000036-321019290053201324558290160524610723313.04%22768.18%06917539.43%7817943.58%277934.18%10870126396531
7514000001722-5312000001010020200000712-521728451074601756054583196622613713215.38%11463.64%07916149.07%8819445.36%368243.90%12084118356433
8201370000073621110910000038271110460000035350267313320600302318275421622825753742182133470651624.62%571770.18%144179155.75%38075750.20%16933350.75%533378478151264134
Total Séries34151900000110123-1318117000006060016412000005063-133011019930910443628211663433873795712163312457721092422.02%992970.71%1644122852.44%594123947.94%26457246.15%845591826257448223