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Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Richard Duguay | Morale : 50 | Moyenne d’équipe : 62

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRichard Duguay
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure22
Limite contact 45 / 50
Espoirs11


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique44-29-13 (0.512%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
Coupe Stanley0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Frank Nazar (R)X100.00604076787684687260686867735550050680192950,000$
2Jayson MegnaX100.00624274686272736666656068648569050650331560,000$
3Tanner LaczynskiX100.0059427267646965644563596263605005061X0261775,000$
4Brendan LemieuxX100.00675661637470696045555658597857050600272780,000$
5Nick Abruzzese (R)X100.00564174676069676444645855635450050600241850,000$
6Ryder Rolston (R)X100.0064417364666463624259575961515005059X0212895,000$
7Josiah Slavin (R)X100.00584270636468666143565554605450050580241600,000$
8Elliot Desnoyers (R)X100.00584271666264636142605355605150050580211825,000$
9Kevin Korchinski (R)X100.00604473686970656840655962655550050630192918,333$
10Tobias Bjornfot (R)X100.0062417165656361594056536559525005060X0222800,000$
11Topi Niemelä (R)X100.00564271686164626240625563625150050600211856,667$
Rayé
1Jesse PuljujarviX100.0075427272858280704065646569827205069X02500$
2Alexander NylanderXX100.0056417668687470674663655667775605064X02500$
3Conor Geekie (R)X100.00704076697875666759636564675250050640193886,667$
4Dalibor Dvorský (R)X100.00604167626358576242616055625050050580183886,667$
5Tristan Broz (R)X100.00574264626162616255605955615050050580203925,000$
6Julian Lutz (R)X100.00604168586361595741575454575050050560193923,333$
7Dennis CholowskiX100.005640787076767368406662656768610506602500$
8Mac HollowellX100.005345647155676564406552676254500506102500$
MOYENNE D’ÉQUIPE100.0060427167676966644662596063595305061
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Devon Levi (R)100.0077697268737575767674675850050670211925,000$
2Chris Driedger100.00697071676969706868696965580506302931,000,000$
Rayé
1Vadim Zherenko (R)100.0071636666686871666968585250050620221846,667$
2Cooper Black (R)100.0066595769646466656562545250050590222950,000$
MOYENNE D’ÉQUIPE100.007165676869697169706862575205063
Nom de l’entraîneur 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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander NylanderPhantoms (Phi)LW/RW251998-03-02SWENo192 Lbs6 ft1NoYesN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brendan Lemieux (contrat à 1 volet)Phantoms (Phi)LW271996-03-15CANNo214 Lbs6 ft1NoNoFree AgentYesNo22024-09-23FalseFalsePro & Farm780,000$0$0$No780,000$--------780,000$--------No--------Lien
Chris Driedger (contrat à 1 volet)Phantoms (Phi)G291994-05-18CANNo207 Lbs6 ft4NoNoFree AgentYesNo32024-09-23FalseFalsePro & Farm1,000,000$80,000$80,000$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Conor GeekiePhantoms (Phi)C192004-05-05CANYes207 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Cooper BlackPhantoms (Phi)G222001-06-14USAYes194 Lbs6 ft8NoNoDraftNoNo22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Dalibor DvorskýPhantoms (Phi)RW182005-06-15SLVYes201 Lbs6 ft1NoNoTrade2025-07-18NoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Dennis CholowskiPhantoms (Phi)D251998-02-15CANNo210 Lbs6 ft2NoNoWaiverYesNo02024-09-11FalseFalsePro & Farm0$0$No---------------------------Lien
Devon LeviPhantoms (Phi)G212001-12-27CANYes183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Elliot DesnoyersPhantoms (Phi)LW212002-01-21CANYes183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Frank NazarPhantoms (Phi)C192004-01-14USAYes190 Lbs5 ft10NoNoProspectNoNo22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jayson Megna (contrat à 1 volet)Phantoms (Phi)C331990-02-01USANo194 Lbs6 ft1NoNoTrade2025-02-21YesNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Jesse Puljujarvi (contrat à 1 volet)Phantoms (Phi)RW251998-05-07SWENo216 Lbs6 ft4NoYesWaiver2024-09-19YesNo02024-09-06FalseFalsePro & Farm0$0$No---------------------------Lien
Josiah SlavinPhantoms (Phi)LW241998-12-31USAYes190 Lbs6 ft3NoNoN/AYesNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Julian LutzPhantoms (Phi)LW192004-02-29GERYes194 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm923,333$0$0$No923,333$923,333$-------923,333$923,333$-------NoNo-------Lien
Kevin KorchinskiPhantoms (Phi)D192004-06-21CANYes192 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Mac HollowellPhantoms (Phi)D251998-09-26CANNo170 Lbs5 ft9NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nick AbruzzesePhantoms (Phi)C241999-06-04USAYes181 Lbs5 ft11NoNoTrade2024-10-17YesNo1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Ryder RolstonPhantoms (Phi)RW212001-10-31USAYes201 Lbs6 ft2NoYesProspectNoNo22024-06-25FalseFalsePro & Farm895,000$0$0$No895,000$--------895,000$--------No--------Lien
Tanner LaczynskiPhantoms (Phi)C261997-06-01USANo190 Lbs6 ft1NoYesN/AYesNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Tobias BjornfotPhantoms (Phi)D222001-04-06SWEYes203 Lbs6 ft0NoYesFree Agent2024-06-23NoNo22024-08-31FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Topi NiemeläPhantoms (Phi)D212002-03-25FINYes179 Lbs6 ft0NoNoTrade2024-01-24NoNo1FalseFalsePro & Farm856,667$0$0$No---------------------------Lien
Tristan BrozPhantoms (Phi)C202002-10-10USAYes179 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Vadim ZherenkoPhantoms (Phi)G222001-03-15RUSYes196 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm846,667$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.91194 Lbs6 ft21.52702,319$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxJayson Megna40122
2Tanner Laczynski30122
3Nick AbruzzeseFrank Nazar20122
4Josiah SlavinElliot DesnoyersRyder Rolston10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemelä40122
230122
3Tobias BjornfotJosiah Slavin20122
4Kevin KorchinskiTopi Niemelä10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxJayson Megna60122
2Tanner Laczynski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemelä60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan Lemieux60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemelä60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Kevin KorchinskiTopi Niemelä60122
2Brendan Lemieux4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brendan Lemieux60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemelä60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxJayson MegnaKevin KorchinskiTopi Niemelä
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxJayson MegnaKevin KorchinskiTopi Niemelä
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Frank Nazar, Nick Abruzzese, Frank NazarNick Abruzzese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, , Tobias Bjornfot,
Tirs de pénalité
, Brendan Lemieux, , , Jayson Megna
Gardien
#1 : Devon Levi, #2 : Chris Driedger


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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,381,334$ 1,381,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Phantoms Leaders statistiques des joueurs (saison régulière)

# 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
1Oliver Wahlstrom825969128254218712437415.78%37182322.2310203046213117351.05%21.4018
2Tanner Laczynski823270102224715412916619.28%29153218.69718252300004050.00%11.3303
3Brendan Lemieux624555100291841725724318.52%44132121.32916253300063457.14%21.5114
4Jayson Megna53414586-1367611720919.62%24118122.29716232411235260.03%21.4603
5Alexander Nylander68393271-2531057622717.18%24125018.3986142312372043.48%11.1413

Phantoms Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Devon Levi70372480.8623.934020212631910944200.69226
2Pavel Francouz49251460.8544.112773411901299658400.66727
3Chris Driedger187110.9012.3272300282841431000

Phantoms Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
202482332908435347320274114140631317216484119150212217515619973475579041164132140142519586101987465230776782619622166530.09%2035473.40%6784153351.14%785156450.19%698133452.32%168888116657681634833
Total Saison régulière82332908435347320274114140631317216484119150212217515619973475579041164132140142519586101987465230776782619622166530.09%2035473.40%6784153351.14%785156450.19%698133452.32%168888116657681634833
Séries éliminatoires
2024404000001220-82020000058-320200000712-501223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538
Total Séries éliminatoires404000001220-82020000058-320200000712-501223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538

Phantoms Leaders statistiques des joueurs (séries éliminatoires)

# 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
1Alexander Nylander443750691330.77%16917.38000100000033.33%02.0100
2Oliver Wahlstrom425740661020.00%16716.880000000000100.00%02.0700
3Jayson Megna4224-30561216.67%38320.76000000000049.17%00.9600
4Tanner Laczynski42244255825.00%36616.59000000000036.36%01.2100
5Jesse Puljujarvi4213-3537267.69%48621.60000500000031.25%00.6900

Phantoms Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Chris Driedger10000.7503.7516001410000
2Devon Levi40400.8574.842230018126620100