Rocket
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: | Morale : 50 | Moyenne d'Équipe : 60
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Statistiques d'Équipe


Directeur général
Atlantic Division
Eastern Conference




Capacité de l'Aréna5,000
Assistance
5,000




21
18
39 / 55
Éspoirs21


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 Moyen
1Ethan Keppen (R)0X100.00593673535558453965566435522540050580222925,000$
2Alex Gallant0X100.00575775515262723636566337502540050570301750,000$
3Nick Hutchison0X100.00534682525458453865576438512540050570281750,000$
4Adam Raska (R)0XX100.00575576525358663836576337512540050570212848,333$
5Jamie Devane0X100.00564478515358453736576334502540050570321750,000$
6Riley Bezeau0XXX100.00565678515260693765566336502540050570211750,000$
7Patrick Curry0X100.00534583525358453836576437512540050570271750,000$
8Mathew Santos0X100.00523984505258453636556335492540050560281750,000$
9Reece Vitelli0XXX100.00513884515358453665556333502540050560211750,000$
10Riley Sawchuk0X100.00524284515358453665556432502540050560241750,000$
11Andrei Bakanov0X100.00523984505158453536556332492540050550211750,000$
12Zac Jones (R)0X100.00685197687957556040676855646464050720221925,000$
13Brandon Scanlin (R)0X100.00553879555658454336616458532540050630241925,000$
14Jordan Spence0X100.00535382585858624636656347552540050620222820,000$
15Marshall Rifai0X100.00566577525281943836576339502540050600251750,000$
16Patrick Sieloff0X100.00546680525283973736576340502540050600291750,000$
17Ronald Knot0X100.00546281525375873836576340512540050600281750,000$
18Yanni Kaldis0X100.00535783545562724136606441522540050600271750,000$
Rayé
1Logan Nijhoff0X100.00533882505158453536556325492540050540221750,000$
MOYENNE D'ÉQUIPE100.0055498153556259394458643851274105059
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 SPÂgeContratSalaire Moyen
1Kevin Poulin100.0072655776756272747473742555050730331750,000$
2Garrett Metcalf100.0068655351666070556069632555050630271750,000$
Rayé
MOYENNE D'ÉQUIPE100.007065556471617165677169255505068
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 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 RaskaRocket (MTL)LW/RW212001-09-25Yes178 Lbs5 ft10NoNoNo2Pro & Farm848,333$30,298$848,333$30,298$0$0$No848,333$Lien / Lien NHL
Alex GallantRocket (MTL)LW301992-12-08No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Andrei BakanovRocket (MTL)LW212002-05-08No214 Lbs6 ft3NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Brandon ScanlinRocket (MTL)D241999-06-02Yes214 Lbs6 ft4NoNoNo1Pro & Farm925,000$33,036$925,000$33,036$0$0$NoLien / Lien NHL
Ethan KeppenRocket (MTL)C222001-03-20Yes212 Lbs6 ft2NoNoNo2Farm Only925,000$33,036$925,000$33,036$0$0$No925,000$Lien / Lien NHL
Garrett MetcalfRocket (MTL)G271996-03-05No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Jamie DevaneRocket (MTL)LW321991-02-20No232 Lbs6 ft5NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Jordan SpenceRocket (MTL)D222001-02-24No180 Lbs5 ft10NoNoNo2Pro & Farm820,000$29,286$820,000$29,286$0$0$No820,000$Lien / Lien NHL
Kevin PoulinRocket (MTL)G331990-04-12No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Logan NijhoffRocket (MTL)LW222001-06-23No187 Lbs6 ft0NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Marshall RifaiRocket (MTL)D251998-03-16No190 Lbs6 ft1NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Mathew SantosRocket (MTL)RW281995-03-16No209 Lbs6 ft1NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Nick HutchisonRocket (MTL)C281995-04-27No201 Lbs6 ft3NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Patrick CurryRocket (MTL)LW271996-01-09No185 Lbs5 ft10NoNoNo1Farm Only750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Patrick SieloffRocket (MTL)D291994-05-15No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Reece VitelliRocket (MTL)C/LW/RW212001-07-05No177 Lbs5 ft11NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Riley BezeauRocket (MTL)C/LW/RW212002-05-04No188 Lbs6 ft0NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Riley SawchukRocket (MTL)C241999-03-18No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Ronald KnotRocket (MTL)D281994-08-03No208 Lbs6 ft3NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Yanni KaldisRocket (MTL)D271995-09-30No187 Lbs5 ft11NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$0$0$NoLien / Lien NHL
Zac JonesRocket (MTL)D222000-10-18Yes175 Lbs5 ft10NoNoNo1Pro & Farm925,000$33,036$925,000$33,036$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.43195 Lbs6 ft11.14783,016$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GallantEthan KeppenAndrei Bakanov30122
2Jamie DevaneRiley BezeauReece Vitelli30122
3Patrick CurryNick HutchisonMathew Santos20122
4Andrei BakanovReece VitelliMathew Santos20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yanni KaldisBrandon Scanlin30122
2Jordan SpenceMarshall Rifai30122
3Patrick SieloffRonald Knot20122
4Yanni KaldisBrandon Scanlin20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex GallantEthan KeppenMathew Santos50122
2Jamie DevaneRiley BezeauReece Vitelli50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrick SieloffBrandon Scanlin50122
2Jordan SpenceMarshall Rifai50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ethan KeppenAlex Gallant50122
2Riley BezeauJamie Devane50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrick SieloffBrandon Scanlin50122
2Jordan SpenceMarshall Rifai50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ethan Keppen50122Yanni KaldisBrandon Scanlin50122
2Riley Bezeau50122Jordan SpenceMarshall Rifai50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ethan KeppenAlex Gallant50122
2Riley BezeauJamie Devane50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ronald KnotBrandon Scanlin50122
2Jordan SpenceMarshall Rifai50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex GallantEthan KeppenRiley BezeauJordan SpenceBrandon Scanlin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex GallantEthan KeppenRiley BezeauJordan SpenceBrandon Scanlin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Curry, Nick Hutchison, Reece VitelliPatrick Curry, Nick HutchisonPatrick Curry
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Sieloff, Ronald Knot, Yanni KaldisPatrick SieloffPatrick Sieloff, Ronald Knot
Tirs de Pénalité
Ethan Keppen, Riley Bezeau, Alex Gallant, Jamie Devane, Patrick Curry
Gardien
#1 : Kevin Poulin, #2 : Garrett Metcalf
Lignes d'Attaque Perso. en Prol.
Ethan Keppen, Riley Bezeau, Alex Gallant, Jamie Devane, Patrick Curry, Nick Hutchison, Nick Hutchison, Reece Vitelli, Mathew Santos, Riley Sawchuk, Andrei Bakanov
Lignes de Défense Perso. en Prol.
Ronald Knot, Brandon Scanlin, Jordan Spence, Marshall Rifai, Patrick Sieloff


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'Aréna35001500
Prix des Billets5025
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$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 16,443,333$ 16,443,333$ 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$ 1 0$ 0$




Rocket

# Nom du Joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tyler Graovac8210410721131141066232132.40%22149018.171211233900003053.17%132.8301
2Joachim Blichfeld82909118137183979627133.21%38149918.28910193521334146.84%72.4101
3Vinni Lettieri5885901753158958224135.27%25133723.067815236511116058.43%122.6212
4Devin Shore728381164-140957827630.07%29142119.74149233903343358.21%82.3101
5Gavin Bayreuther1137482156355220216325928.57%149268223.749817272579810.00%81.1600

Rocket

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Adin Hill115565180.9222.79694510232341372405750.66721
2Ivan Nalimov51162450.6638.272583003561056543300.4297
3Joseph Woll37161620.7576.10206703210864499320.0000
4Kevin Poulin3533020.8824.572100001601359835100.0000
5Keith Kinkaid1421110.8834.798400067573348100.0000

Rocket

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
202182304302502562624-62411816024013212992241122700101241325-84715628751437230211193156224206997567832082722181311762075627.05%2237566.37%20654122453.43%509100050.90%955182052.47%1777118119335901226621
2022823533093022732393441161705102145125204119160420012811414932734677403298759192636930857819382848100432815841423625.35%1663380.12%5688136250.51%801159250.31%557105852.65%1705102918766901367681
202382115904323157321-164416280230284159-75415310202173162-89401572634202064523572762995926823303226114735214051182420.34%911880.22%0770153650.13%741154647.93%480102746.74%152387520606851366672
Total Saison Régulière2467613501511279921184-192123406109805550583-33123367406322442601-15920499216052597751623383191727640192524822398851815628732493416546711624.84%48012673.75%252112412251.24%2051413849.57%1992390551.01%500630865870196639601975

Rocket

# Nom du Joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rocket

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA