Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve Quach | Morale : 50 | Moyenne d'Équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.


Statistiques d'Équipe


Directeur généralSteve Quach
Atlantic Division
Eastern Conference




Capacité de l'Aréna5,000
Assistance
5,000




25
18
43 / 55
Éspoirs32


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
1Andrew Poturalski0X100.00526684575783974565636451552540050650291762,500$
2Curtis McKenzie0X100.00546680565585984436606548542540050640321750,000$
3Gage Quinney0XX100.00524983615958515165646653592540050640271750,000$
4Cole Cassels0X100.00536582555482954265616443532540050630281750,000$
5Gabriel Dumont0X100.00536881555588994365596444542540050630321750,000$
6Garrett Wilson0X100.00586574555482954236596445532540050630321750,000$
7Logan Hutsko (R)0X100.00526684535483974065596443522540050620241867,500$
8Patrick Giles (R)0X100.00573577575758454565636445542540050620232925,000$
9Oskar Back (R)0XX100.00516685535383973965586343512540050610232850,833$
10John Hayden0XX100.00555479565658644365596548542540050610283808,500$
11Brayden Tracey (R)0X100.00535882545465754136596440532540050600222925,000$
12Ivan Morozov (R)0X100.00545981525368793965576434512540050580231925,000$
13Noah Juulsen0X100.00855393678055556140646755646464050740262750,000$
14Cale Fleury0X100.00805197668149556140666855656565050730242750,000$
15Dennis Cholowski0X100.00534682585858454636666349552540050630252750,000$
16Alex Green (R)0X100.00536783515286993736576338502540050600251750,000$
17Billy Sweezey0X100.00556580515282953736576336502540050600271762,500$
18Jeremy McKenna (R)0X100.00523884545858454136596439532540050590241925,000$
Rayé
1Timur Ibragimov (R)0X100.00514285525658453736566439502540050570222925,000$
2Sam Hentges (R)0X100.00524084515458453765566337502540050570231855,000$
3Luka Burzan (R)0X100.00513585515658453665566332502540050560232925,000$
4Olli Juolevi (R)0X100.00534982535558513936596335512540050570252750,000$
5Austin Strand0X100.00554679525358453836576330512540050560262750,000$
MOYENNE D'ÉQUIPE100.0056548355576870435060644354284205062
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
1Michael Houser100.0073655375766472737474742555050730301775,000$
2Christopher Gibson100.0072655374756470727273722555050720301750,000$
Rayé
MOYENNE D'ÉQUIPE100.007365537576647173737473255505073
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
Alex GreenMarlies (TOR)D251998-06-18Yes194 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Andrew PoturalskiMarlies (TOR)C291994-01-14No183 Lbs5 ft10NoNoNo1Pro & Farm762,500$254,167$762,500$254,167$0$0$NoLien / Lien NHL
Austin StrandMarlies (TOR)D261997-02-17No215 Lbs6 ft3NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Billy SweezeyMarlies (TOR)D271996-02-06No205 Lbs6 ft2NoNoNo1Pro & Farm762,500$254,167$762,500$254,167$0$0$NoLien / Lien NHL
Brayden TraceyMarlies (TOR)LW222001-05-28Yes177 Lbs6 ft0NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Cale FleuryMarlies (TOR)D241998-11-19No213 Lbs6 ft1NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Christopher GibsonMarlies (TOR)G301992-12-27No217 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Cole CasselsMarlies (TOR)C281995-05-04No178 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Curtis McKenzieMarlies (TOR)LW321991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Dennis CholowskiMarlies (TOR)D251998-02-15No197 Lbs6 ft2NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Gabriel DumontMarlies (TOR)C321990-10-06No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Gage QuinneyMarlies (TOR)C/LW271995-07-29No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Garrett WilsonMarlies (TOR)LW321991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Ivan MorozovMarlies (TOR)C232000-05-05Yes200 Lbs6 ft1NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Jeremy McKennaMarlies (TOR)D241999-04-20Yes178 Lbs5 ft10NoNoNo1Farm Only925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
John HaydenMarlies (TOR)C/RW281995-02-14No223 Lbs6 ft3NoNoNo3Pro & Farm808,500$269,500$808,500$269,500$0$0$No808,500$808,500$Lien / Lien NHL
Logan HutskoMarlies (TOR)C241999-02-11Yes172 Lbs5 ft10NoNoNo1Pro & Farm867,500$289,167$867,500$289,167$0$0$NoLien / Lien NHL
Luka BurzanMarlies (TOR)C232000-01-07Yes183 Lbs6 ft0NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Michael HouserMarlies (TOR)G301992-09-13No185 Lbs6 ft1NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Noah JuulsenMarlies (TOR)D261997-04-02No201 Lbs6 ft2NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Olli JuoleviMarlies (TOR)D251998-05-05Yes204 Lbs6 ft3NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Oskar BackMarlies (TOR)C/RW232000-03-12Yes205 Lbs6 ft3NoNoNo2Pro & Farm850,833$283,611$850,833$283,611$0$0$No850,833$Lien / Lien NHL
Patrick GilesMarlies (TOR)C232000-01-03Yes216 Lbs6 ft5NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Sam HentgesMarlies (TOR)C231999-07-26Yes191 Lbs6 ft0NoNoNo1Pro & Farm855,000$285,000$855,000$285,000$0$0$NoLien / Lien NHL
Timur IbragimovMarlies (TOR)LW222000-10-12Yes183 Lbs6 ft1NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.12198 Lbs6 ft11.48809,273$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brayden TraceyLogan HutskoCole Cassels30122
2Garrett WilsonOskar BackJohn Hayden30122
3Patrick GilesIvan MorozovAndrew Poturalski20122
4Oskar BackPatrick GilesLogan Hutsko20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiCale Fleury30122
2Alex GreenJeremy McKenna30122
3Noah JuulsenBilly Sweezey20122
4Cale FleuryBilly Sweezey20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brayden TraceyLogan HutskoCole Cassels50122
2Garrett WilsonOskar BackPatrick Giles50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiCale Fleury50122
2Alex GreenBilly Sweezey50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Logan HutskoCole Cassels50122
2Oskar BackBrayden Tracey50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiBilly Sweezey50122
2Cale FleuryAlex Green50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Logan Hutsko50122Billy SweezeyDennis Cholowski50122
2Brayden Tracey50122Cale FleuryAlex Green50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Logan HutskoPatrick Giles50122
2Oskar BackBrayden Tracey50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiAlex Green50122
2Billy SweezeyCale Fleury50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brayden TraceyLogan HutskoCole CasselsDennis CholowskiCale Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brayden TraceyLogan HutskoCole CasselsDennis CholowskiCale Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Hutsko, Oskar Back, Brayden TraceyLogan Hutsko, Oskar BackLogan Hutsko
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cale Fleury, Alex Green, Billy SweezeyCale FleuryCale Fleury, Alex Green
Tirs de Pénalité
Logan Hutsko, Cole Cassels, Oskar Back, Brayden Tracey, John Hayden
Gardien
#1 : Michael Houser, #2 : Christopher Gibson
Lignes d'Attaque Perso. en Prol.
Logan Hutsko, Cole Cassels, Oskar Back, Brayden Tracey, John Hayden, Ivan Morozov, Ivan Morozov, Andrew Poturalski, Garrett Wilson, Patrick Giles, Curtis McKenzie
Lignes de Défense Perso. en Prol.
Dennis Cholowski, Cale Fleury, Noah Juulsen, Alex Green, Billy Sweezey


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$ 20,231,832$ 20,231,832$ 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$ 14 0$ 0$




Marlies

# 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
1Kale Clague173122140262451628725367318.13%271441225.5015213680448111340.00%51.1901
2Karson Kuhlman14711013024036623511751521.36%59272918.5714233755112712446.46%81.7624
3Marc Michaelis15684115199-392014920446717.99%76257316.49713202200015051.21%51.5501
4John Hayden16372115187-418117421143416.59%67261016.01616223501130248.23%61.4300
5Alex Belzile6559122181-402821287721227.83%32144722.26715221733673157.61%02.5000

Marlies

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Wolf22411790130.8594.541278665968687437511240.70824
2Jake Kielly245300.51712.9185500184381154000.0000
3Michael Houser145720.9003.848442054542362100.3333
4Emil Larmi140400.22720.583470011915429000.0000

Marlies

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
202182285002200596821-22541162301100300360-6041122701100296461-165625969931589010274181139230607737367881991749198712692046531.86%2259458.22%13614120950.79%49896751.50%1057205251.51%1970136317545671201610
202282491707522297196101412580521015491634124902312143105381232975328291411794771329671102102082338278196732217731533925.49%1602783.13%3806147754.57%834157752.89%534102152.30%1804114318356691321654
202382303706531279315-3641181702310148144441122004221131171-40842794537323011075851130191078960946473183120652815461102421.82%1092973.39%8782159449.06%819168648.58%555115847.93%162197419816731356670
Total Saison Régulière246107104015125311721332-1601235948086206025957123485607633570737-167269117219783150452274433431638292218027532505873795529222837458846712827.41%49415069.64%242202428051.45%2151423050.85%2146423150.72%539634815572191038801935
Séries
2022148600000413567430000021174743000002018216417211300161311148216316714845091963629329724.14%18288.89%114628451.41%11924548.57%8016548.48%296185321113228114
Total Séries148600000413567430000021174743000002018216417211300161311148216316714845091963629329724.14%18288.89%114628451.41%11924548.57%8016548.48%296185321113228114

Marlies

# 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
1Marc Michaelis14411151141531468.70%1228420.31000000001257.45%01.0600
2Ryan MacInnis1467139023275211.54%921415.29000000002055.10%01.2100
3Logan Hutsko144711-10418293810.53%1632523.27134500000151.74%00.6800
4Oskar Back1411011102023392.56%1129320.99112600010044.56%00.7500
5Patrick Giles1435810015102412.50%520814.89000000000020.00%00.7700

Marlies

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Wolf148510.9312.498442035509317000.0000