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Rocket

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 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 SP
1Luke KuninXX100.00775275737485837276716974736566050690
2Pierre EngvallXX100.00694889669275736561636466686763050650
3Henrik BorgstromX100.00644386648380776673615963666562050630
4Jason RobertsonX100.00664690668579746356616164636162050630
5Rasmus AsplundXX100.00583982667081786372646165636566050630
6Riley TufteX100.00845585589985875652555362586362050620
7Kieffer BellowsX100.00635084617683805952576058616365050610
8Taro HiroseX100.00563987646575716358645957636764050610
9Vitaly AbramovXX100.00564389636675746254606158656362050610
10Alexander Chmelevski (R)X100.00554587607179785963615856596163050600
11Matthew PhillipsX100.00533987615783786258605957626361050600
12Anthony BitettoX100.00904779637980786230695073467867050650
13Adam BoqvistX100.00633988706976726830666159526162050640
14Kyle WoodX100.00865584599988875830575462466764050630
15Sami NikuX100.00584288667375696430655863546764050630
16Cal FooteX100.00765586599189925830575560466362050620
17Kyle CapobiancoX100.00614784647779736230635961556562050620
18Louie BelpedioX100.00594984617281806230605963556764050620
Rayé
1Shane GersichX100.00554986587087895653545557566764050590
2Pavel ShenX100.00584189567476755560535457566162050580
3Dysin MayoX100.00625186567687895430525357456764050590
4David QuennevilleX100.00534187566673725430555253456362050570
MOYENNE D'ÉQUIPE100.0065468662778179614860586157656305062
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
1Thatcher Demko100.0079787685787779787779786973050680
2Alex Nedeljkovic100.0076706872757476757476756771050650
Rayé
1Artyom Zagidulin100.0072797776717072717072716973050640
MOYENNE D'ÉQUIPE100.007676747875747675747675687205066
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$927,500$
Anthony BitettoRocket (MTL)D291990-07-15No210 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
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
David QuennevilleRocket (MTL)D211998-03-13No189 Lbs5 ft8NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Dysin MayoRocket (MTL)D231996-08-17No194 Lbs6 ft1NoNoNo1Pro & Farm715,000$0$0$NoLien / Lien NHL
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
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
Luke KuninRocket (MTL)C/RW211997-12-04No197 Lbs6 ft0NoNoNo1Pro & Farm1,425,000$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
Pierre EngvallRocket (MTL)LW/RW231996-05-31No214 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Rasmus AsplundRocket (MTL)C/LW211997-12-03No190 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
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
Thatcher DemkoRocket (MTL)G231995-12-08No192 Lbs6 ft4NoNoNo2Pro & Farm1,050,000$0$0$No1,050,000$Lien / Lien NHL
Vitaly AbramovRocket (MTL)LW/RW211998-05-08No180 Lbs5 ft10NoNoNo2Pro & Farm880,000$0$0$No880,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2521.96193 Lbs6 ft11.72989,133$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taro HiroseHenrik BorgstromJason Robertson30122
2Pierre EngvallLuke KuninRiley Tufte30122
3Vitaly AbramovRasmus AsplundMatthew Phillips25122
4Luke KuninKieffer BellowsHenrik Borgstrom15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku30122
2Cal FooteKyle Capobianco30122
3Anthony BitettoLouie Belpedio25122
4Anthony BitettoAdam Boqvist15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taro HiroseHenrik BorgstromRasmus Asplund60122
2Pierre EngvallLuke KuninKieffer Bellows40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Taro HiroseHenrik Borgstrom60122
2Luke KuninVitaly Abramov40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Luke Kunin60122Kyle WoodSami Niku60122
2Henrik Borgstrom40122Cal FooteKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Taro HiroseHenrik Borgstrom60122
2Luke KuninPierre Engvall40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taro HiroseHenrik BorgstromLuke KuninKyle WoodSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taro HiroseHenrik BorgstromLuke KuninKyle WoodSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vitaly Abramov, Rasmus Asplund, Kieffer BellowsVitaly Abramov, Rasmus AsplundKieffer Bellows
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Bitetto, Louie Belpedio, Sami NikuAnthony BitettoLouie Belpedio, Kyle Wood
Tirs de Pénalité
Rasmus Asplund, Henrik Borgstrom, Luke Kunin, Vitaly Abramov, Taro Hirose
Gardien
#1 : Alex Nedeljkovic, #2 : Thatcher Demko


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
Capacité de l'Aréna20001000
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 JourCapacité de l'ArénaPopularité 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$ 2,472,835$ 1,383,335$ 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
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
Total Saison Régulière65623532401519293420692409-3403281211640612131210351172-137328114160097162210341237-2034702069366857376298526665076623417777575727863427259657457476014336214745121.01%192337380.60%29112772247650.17%98292317542.41%48791060146.02%155951116316255454679123885
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