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Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Richard Duguay | Morale : 50 | Moyenne d’équipe : 60
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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 Mineure18
Limite contact 41 / 50
Espoirs19


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
1Sasha ChmelevskiXX100.00714390756860695954745174244646050640231778,335$
2Tanner LaczynskiXX100.00664476717475676653606062665852050630253775,000$
3Alexander NylanderXXX100.00594473696466656544636358665350050620242800,000$
4Anton BlidhXX100.00624463686671706441595960646355050620271900,000$
5Trey Fix-WolanskyX100.00544663715664636844656256675250050610232809,166$
6Elliot Desnoyers (R)XX100.00614070696260616442626260655050050610203825,000$
7Logan HutskoX100.00584471715765646242625462635250050600232867,000$
8Josiah SlavinX100.00584570646464636141575555605250050580233600,000$
9Oskar Olausson (R)X100.00594067656257576241565754615050050580193894,167$
10Sam Poulin (R)XX100.00634768606860585848545453575050050560213863,333$
11Brad Lambert (R)XX100.00604068626254535740545454575050050560183950,000$
12Dillon Hamaliuk (R)X100.00727774637744444649434261424444050530213789,167$
13Jack AhcanX100.0055437171576665654064556764545005062N0254750,000$
14Mac HollowellX100.00564466715562595940595164605250050600242799,766$
15Nikolai KnyzhovX100.00624068596860595640545360565250050580241796,667$
16Topi Niemela (R)X100.00564068695658575640545460595050050580203856,667$
17Mason Millman (R)X100.00534651595352505140505053525050050530213700,000$
Rayé
1Nikita ZaitsevX100.007347777478868371406862776977690507303033,500,111$
MOYENNE D’ÉQUIPE100.0061457067646262614359556158535105060
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
1Arvid Holm (R)100.0069636571696971686967555250050630231845,833$
2Devon Levi (R)100.0073666573696968666969705250050630203925,000$
Rayé
1Kyle Keyser (R)100.0071636362666769686867615250050610232725,000$
2Vadim Zherenko (R)100.0068616262656567656665585050050600213846,667$
3Beck Warm (R)100.0062575759585554535459535150050530232650,000$
MOYENNE D’ÉQUIPE100.006962626565656664656559515005060
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alexander NylanderPhantoms (Phi)C/LW/RW241998-03-02No192 Lbs6 ft1NoNoYesNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Anton Blidh (contrat à 1 volet)Phantoms (Phi)LW/RW271995-03-14No185 Lbs6 ft0NoNoYesNo1Pro & Farm900,000$900,000$0$0$NoLien
Arvid HolmPhantoms (Phi)G231998-11-03Yes214 Lbs6 ft4NoNoNoNo1Pro & Farm845,833$845,833$0$0$NoLien
Beck WarmPhantoms (Phi)G231999-04-22Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien
Brad LambertPhantoms (Phi)C/RW182003-12-19Yes183 Lbs6 ft0NoNoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Devon LeviPhantoms (Phi)G202001-12-27Yes184 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Dillon HamaliukPhantoms (Phi)LW212000-10-30Yes201 Lbs6 ft4NoNoNoNo3Pro & Farm789,167$789,167$0$0$No789,167$789,167$Lien
Elliot DesnoyersPhantoms (Phi)C/LW202002-01-21Yes183 Lbs5 ft11NoNoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$
Jack Ahcan (contrat à 1 volet)Phantoms (Phi)D251997-05-18No179 Lbs5 ft8YesNoYesNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Josiah SlavinPhantoms (Phi)C231998-12-31No190 Lbs6 ft3NoNoNoNo3Pro & Farm600,000$600,000$0$0$No600,000$600,000$Lien
Kyle KeyserPhantoms (Phi)G231999-03-08Yes179 Lbs6 ft2NoNoNoNo2Pro & Farm725,000$725,000$0$0$No725,000$Lien
Logan HutskoPhantoms (Phi)C231999-02-11No172 Lbs5 ft10NoNoNoNo2Pro & Farm867,000$867,000$0$0$No867,000$Lien
Mac HollowellPhantoms (Phi)D241998-09-26No170 Lbs5 ft9NoNoYesNo2Pro & Farm799,766$799,766$0$0$No799,766$Lien
Mason MillmanPhantoms (Phi)D212001-07-18Yes175 Lbs6 ft1NoNoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Nikita Zaitsev (contrat à 1 volet)Phantoms (Phi)D301991-10-29No192 Lbs6 ft2NoNoYesNo3Pro & Farm3,500,111$3,500,111$2,600,111$2,600,111$No3,500,111$3,500,111$Lien
Nikolai KnyzhovPhantoms (Phi)D241998-03-20No218 Lbs6 ft2NoNoYesNo1Pro & Farm796,667$796,667$0$0$NoLien
Oskar OlaussonPhantoms (Phi)RW192002-11-10Yes181 Lbs6 ft1NoNoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$
Sam PoulinPhantoms (Phi)C/LW212001-02-25Yes207 Lbs6 ft1NoNoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien
Sasha ChmelevskiPhantoms (Phi)C/RW231999-06-09No187 Lbs6 ft0NoNoNoNo1Pro & Farm778,335$778,335$0$0$NoLien
Tanner LaczynskiPhantoms (Phi)C/RW251997-06-01No190 Lbs6 ft1NoNoYesNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Topi NiemelaPhantoms (Phi)D202002-03-25Yes157 Lbs5 ft11NoNoNoNo3Pro & Farm856,667$856,667$0$0$No856,667$856,667$
Trey Fix-WolanskyPhantoms (Phi)RW231999-05-26No179 Lbs5 ft7NoNoNoNo2Pro & Farm809,166$809,166$0$0$No809,166$Lien
Vadim ZherenkoPhantoms (Phi)G212001-03-15Yes176 Lbs6 ft2NoNoNoNo3Pro & Farm846,667$846,667$0$0$No846,667$846,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.65185 Lbs6 ft02.43923,777$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderSasha ChmelevskiTanner Laczynski40122
2Sam PoulinElliot DesnoyersTrey Fix-Wolansky30122
3Dillon HamaliukLogan HutskoOskar Olausson20122
4Sasha ChmelevskiJosiah SlavinBrad Lambert10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanMac Hollowell40122
2Topi NiemelaNikolai Knyzhov30122
3Mason MillmanJosiah Slavin20122
4Jack AhcanMac Hollowell10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderSasha ChmelevskiTanner Laczynski60122
2Sam PoulinElliot DesnoyersTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanMac Hollowell60122
2Topi NiemelaNikolai Knyzhov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sasha ChmelevskiTanner Laczynski60122
2Alexander NylanderElliot Desnoyers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanMac Hollowell60122
2Topi NiemelaNikolai Knyzhov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sasha Chmelevski60122Jack AhcanMac Hollowell60122
2Tanner Laczynski40122Topi NiemelaNikolai Knyzhov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sasha ChmelevskiTanner Laczynski60122
2Alexander NylanderElliot Desnoyers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanMac Hollowell60122
2Topi NiemelaNikolai Knyzhov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderSasha ChmelevskiTanner LaczynskiJack AhcanMac Hollowell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderSasha ChmelevskiTanner LaczynskiJack AhcanMac Hollowell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Hutsko, Oskar Olausson, Brad LambertLogan Hutsko, Oskar OlaussonBrad Lambert
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Millman, Topi Niemela, Nikolai KnyzhovMason MillmanTopi Niemela, Nikolai Knyzhov
Tirs de pénalité
Sasha Chmelevski, Tanner Laczynski, Alexander Nylander, Elliot Desnoyers, Trey Fix-Wolansky
Gardien
#1 : Devon Levi, #2 : Arvid Holm


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
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,609,679$ 1,609,679$ 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$ 14 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

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

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

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

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