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Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Simon DeChamplain | Morale : 1 | Moyenne d’équipe : 63
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSimon DeChamplain
EntraîneurKevin Dineen
DivisionFritz-Kraatz
ConférenceRobert-Lebel
CapitaineDave Bolland
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 250
Espoirs0


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
1Joe Snively (R)X100.006833828666776777737373538347486065700221500,000$
2Cristoval Nieves (R)X100.007226787768737775758069577250523972700242900,000$
3Lucas Wallmarkk (R)X100.007438757168757076747870686847454876700222800,000$
4Morgan Klimchuk (R)X100.007032747472777571667473737852464176700231650,000$
5David Kampf (R)X100.006143846572726974687076596846494676680233750,000$
6Erik NystromX100.007323776776737272656174677652503263680251800,000$
7Rem Pitlick (R)X100.006429718268766582736865627645466072680212900,000$
8Nick Sorensen (R)X100.006233797373706967655974557549514176660241525,000$
9Laurent Dauphin (R)X100.007442806470657171637466526845453835650231500,000$
10Anthony Angello (R)X100.005139816665756757676664595644444035620221450,000$
11A.J. Greer (R)X100.006243646968647362626263565547464169610223300,000$
12Brett Murray (R)X100.007741647078556661465764554442425764600204500,000$
13Oliver Wahlstrom (R)X100.005937754673696564666271416540408469600182500,000$
14Cooper Marody (R)X100.004537716453606263747459415046444331590223300,000$
15Josiah Slavin (R)X100.005837735263715962686170385145455753590202500,000$
16Benoit-Olivier Groulx (R)X100.005942745765566258625860525740406531570182500,000$
17Fabian Zetterlund (R)X100.004736715665655855564869436141416135560191500,000$
18David Gustafsson (R)X100.005234705947535655716553415040407125540182500,000$
19Blake Heinrich (R)X100.007335737476776562527571785861474064710231500,000$
20Rinat Valiev (R)X100.007334817469696574576762726453484755690231500,000$
21Mikko Lehtonen (R)X100.007141776454687274536971616250524158660242750,000$
22Matt Kiersted (R)X100.006646656667585758465847625343435446600204500,000$
23Riley Stillman (R)X100.006842636262576353375953584642425676590204500,000$
24Ty Smith (R)X100.004826676553496073327148544440407576560182500,000$
25Victor Berglund (R)X100.006229675962544945315431683041416348560191500,000$
Rayé
MOYENNE D’ÉQUIPE100.00643673666666656660666457604645525863
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
1Anton Forsberg100.00757574777079767373767573733477740261975,000$
2Zachary Fucale100.00697862697175747679756150484265720231500,000$
Rayé
1Kevin Lankinen100.00686766686671627167645642426019650233900,000$
2Zachary Sawchenko100.00635469555265674747737545475420580211500,000$
3Jacob Ingham (R)100.00694357606950425657505940406120550182500,000$
MOYENNE D’ÉQUIPE100.0069636666666864656568655050504065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen73656679327257Can503500,000$


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 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 Salaire restantPlafond salarial Non Activé 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 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
A.J. GreerPhantoms (Phi)LW221996-01-01Yes210 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm300,000$0$0$No350,000$400,000$-------NoNo-------
Anthony AngelloPhantoms (Phi)C221996-01-01Yes210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm450,000$0$0$No------------------
Anton ForsbergPhantoms (Phi)G261992-01-01No191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------
Benoit-Olivier GroulxPhantoms (Phi)C182000-01-01Yes200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Blake HeinrichPhantoms (Phi)D231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Brett MurrayPhantoms (Phi)LW201998-01-01Yes216 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Cooper MarodyPhantoms (Phi)C221996-01-01Yes184 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm300,000$0$0$No350,000$400,000$-------NoNo-------
Cristoval NievesPhantoms (Phi)C241994-01-01Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
David GustafssonPhantoms (Phi)LW182000-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
David KampfPhantoms (Phi)C231995-01-01Yes188 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No800,000$900,000$-------NoNo-------
Erik NystromPhantoms (Phi)LW251993-01-01No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Fabian ZetterlundPhantoms (Phi)LW191999-01-01Yes220 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jacob InghamPhantoms (Phi)G182000-01-01Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Joe SnivelyPhantoms (Phi)C221996-01-01Yes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Josiah SlavinPhantoms (Phi)LW201998-01-01Yes189 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Kevin LankinenPhantoms (Phi)G231995-01-01No185 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Laurent DauphinPhantoms (Phi)C231995-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Lucas WallmarkkPhantoms (Phi)C221996-01-01Yes178 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------No--------
Matt KierstedPhantoms (Phi)D201998-01-01Yes184 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Mikko LehtonenPhantoms (Phi)D241994-01-01Yes196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Morgan KlimchukPhantoms (Phi)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Nick SorensenPhantoms (Phi)RW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm525,000$0$0$No------------------
Oliver WahlstromPhantoms (Phi)RW182000-01-01Yes204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Rem PitlickPhantoms (Phi)RW211997-01-01Yes196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Riley StillmanPhantoms (Phi)D201998-01-01Yes196 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Rinat ValievPhantoms (Phi)D231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Ty SmithPhantoms (Phi)D182000-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Victor BerglundPhantoms (Phi)D191999-01-01Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Zachary FucalePhantoms (Phi)G231995-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Zachary SawchenkoPhantoms (Phi)G211997-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3021.47192 Lbs6 ft11.90583,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukJoe Snively40122
2Erik NystromCristoval NievesRem Pitlick30122
3A.J. GreerLucas WallmarkkNick Sorensen20122
4Brett MurrayDavid KampfOliver Wahlstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichRinat Valiev40122
2Mikko LehtonenRiley Stillman30122
3Ty SmithVictor Berglund20122
4Blake HeinrichRinat Valiev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukJoe Snively60122
2Erik NystromCristoval NievesRem Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Blake HeinrichRinat Valiev60122
2Morgan Klimchuk40122Mikko LehtonenRiley Stillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukJoe SnivelyBlake HeinrichRinat Valiev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukJoe SnivelyBlake HeinrichRinat Valiev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Wallmarkk, David Kampf, Nick SorensenLucas Wallmarkk, David KampfNick Sorensen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Smith, Victor Berglund, Mikko LehtonenTy SmithVictor Berglund, Mikko Lehtonen
Tirs de pénalité
, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk
Gardien
#1 : Anton Forsberg, #2 : Zachary Fucale
Lignes d’attaque personnalisées en prolongation
, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk, Erik Nystrom, Erik Nystrom, Rem Pitlick, David Kampf, Nick Sorensen, A.J. Greer
Lignes de défense personnalisées en prolongation
Blake Heinrich, Rinat Valiev, Mikko Lehtonen, Riley Stillman, Ty Smith


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 billets7040
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,750,000$ 1,632,500$ 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

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