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Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alexandre Fortier | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlexandre Fortier
EntraîneurMike Sullivan
DivisionDivision Atlantique
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 56
Espoirs18


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique25-49-9 (0.301%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Brendan PerliniXX100.0064458972737486727371717161895955506802800$
2Mitchell ChaffeeX100.0077459178707476746170727468484756506602700$
3Vyacheslav LeshchenkoXX100.0073458475677778706769716461675850506602911,700,000$
4Kiefer SherwoodXX100.0062459772707273697866687266654952506403011,200,000$
5Zachary SenyshynXXX100.0071588872717877676568707168574956506402821,200,000$
6Pascal LabergeX100.0065458772687675707564686660544956506302600$
7Calle JarnkrokXX100.0054458768687268686465676464816042506303300$
8Filip ChlapikX100.0075457470717475676569676764574956506302721,000,000$
9Ivan ChekhovichXX100.006245927267747466656970606351475650620261750,000$
10Kirill SlepetsXX100.006045937265747464696461676151475950610251750,000$
11Justin KeaX100.007856656876697661756362616162524150610311900,000$
12Erik Karlsson (foward)XX100.0057459473667072636263606059544652506003000$
13Jakub ZborilX100.0071458578738488724573656856624959506702812,000,000$
14Jordan SchmaltzX100.0060449070727678764574687356696045506703100$
15Maxwell GildonX100.006544867268737468456867735651475950640251750,000$
16Kale ClagueX100.0063458772698082694573706960584856506402600$
17Brycen MartinX100.006551817272696861456061635456465350600281800,000$
Rayé
1Marek TvrdonXX100.0064458669756867685964676463494646506103200$
2Joel MustonenXX100.0051439371666374616361616260635044505903200$
3Jakub IzackyXX100.005742847065596361645959686157544550580311500,000$
4Rob O'GaraX100.0064439070747976704573656956645345506503100$
5Filip WesterlundX100.006952877268717058456059675749455950600251750,000$
6Ben ThomasX100.006646897069676757456062655750465350600282700,000$
7Ryan RehillX100.008371546575635656455754645452524950580291500,000$
MOYENNE D’ÉQUIPE100.00664786717072746659666567605950525063
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
1Marek Langhamer100.00788782797676817575778052605050630301900,000$
Rayé
1Criss de jambon100.005050505050505050505050505050174303600$
MOYENNE D’ÉQUIPE100.0064696665636366636364655155503453
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan90659076999951USA563100,000$


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 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
Ben ThomasPhantoms (Phi)D281996-05-28CANNo187 Lbs6 ft1NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Brendan PerliniPhantoms (Phi)LW/RW281996-04-27ENGNo211 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brycen MartinPhantoms (Phi)D281996-05-09CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Calle JarnkrokPhantoms (Phi)LW/RW331991-09-25SWENo190 Lbs6 ft0NoNoFree Agent2024-01-27NoNo02025-01-16FalseFalsePro & Farm0$0$No---------------------------Lien
Criss de jambonPhantoms (Phi)G361988-12-24CANNo170 Lbs6 ft0NoNoFree AgentNoNo02024-09-23FalseFalsePro & Farm0$0$No---------------------------
Erik Karlsson (foward)Phantoms (Phi)LW/RW301994-07-28SWENo160 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Filip ChlapikPhantoms (Phi)C271997-06-03CZENo207 Lbs6 ft2NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Filip WesterlundPhantoms (Phi)D251999-04-17SWENo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ivan ChekhovichPhantoms (Phi)LW/RW261999-01-04RUSNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jakub IzackyPhantoms (Phi)LW/RW311993-11-25CZENo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jakub ZborilPhantoms (Phi)D281997-02-21CZENo200 Lbs6 ft0NoNoN/ANoNo12024-05-29FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Joel MustonenPhantoms (Phi)LW/RW321992-09-17FINNo174 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Jordan SchmaltzPhantoms (Phi)D311993-10-08USANo190 Lbs6 ft2NoNoTrade2024-04-30NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Justin KeaPhantoms (Phi)C311994-02-07CANNo215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kale ClaguePhantoms (Phi)D261998-06-05CANNo192 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Kiefer SherwoodPhantoms (Phi)LW/RW301995-03-21USANo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kirill SlepetsPhantoms (Phi)LW/RW251999-04-06RUSNo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Marek LanghamerPhantoms (Phi)G301994-07-22CZENo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Marek TvrdonPhantoms (Phi)LW/RW321993-01-31SVKNo220 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Maxwell GildonPhantoms (Phi)D251999-05-17USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Mitchell ChaffeePhantoms (Phi)LW271998-01-26USANo192 Lbs6 ft1NoNoFree AgentNoNo02024-06-20FalseFalsePro & Farm0$0$No---------------------------Lien
Pascal LabergePhantoms (Phi)C261998-04-09CANNo172 Lbs6 ft1NoNoN/ANoNo02023-12-30FalseFalsePro & Farm0$0$No---------------------------Lien
Rob O'GaraPhantoms (Phi)D311993-08-06USANo207 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Ryan RehillPhantoms (Phi)D291995-11-07CANNo215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Vyacheslav LeshchenkoPhantoms (Phi)LW/RW291995-04-24RUSNo160 Lbs6 ft0NoNoTrade2025-02-01NoNo12024-04-29FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Zachary SenyshynPhantoms (Phi)C/LW/RW281997-03-30CANNo207 Lbs6 ft1NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.92191 Lbs6 ft10.69553,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodZachary SenyshynBrendan Perlini25122
2Ivan ChekhovichFilip ChlapikCalle Jarnkrok25122
3Kirill SlepetsJustin KeaVyacheslav Leshchenko25122
4Mitchell ChaffeeErik Karlsson (foward)25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilJordan Schmaltz25122
2Maxwell GildonKale Clague25122
3Brycen Martin25122
4Jakub ZborilJordan Schmaltz25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan PerliniZachary SenyshynCalle Jarnkrok50122
2Mitchell ChaffeeFilip ChlapikKiefer Sherwood50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilJordan Schmaltz50122
2Maxwell GildonKale Clague50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynBrendan Perlini50122
2Filip ChlapikMitchell Chaffee50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilJordan Schmaltz50122
2Maxwell GildonKale Clague50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zachary Senyshyn50122Jakub ZborilJordan Schmaltz50122
2Filip Chlapik50122Maxwell GildonKale Clague50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynBrendan Perlini50122
2Filip ChlapikMitchell Chaffee50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilJordan Schmaltz50122
2Maxwell GildonKale Clague50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan PerliniZachary SenyshynIvan ChekhovichJakub ZborilJordan Schmaltz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan PerliniZachary SenyshynKirill SlepetsJakub ZborilKale Clague
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Jarnkrok, Ivan Chekhovich, Filip ChlapikCalle Jarnkrok, Ivan ChekhovichCalle Jarnkrok
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kale Clague, , Brycen MartinKale ClagueKale Clague,
Tirs de pénalité
Brendan Perlini, Mitchell Chaffee, Zachary Senyshyn, Kiefer Sherwood, Calle Jarnkrok
Gardien
#1 : Marek Langhamer, #2 :


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 joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,440,000$ 1,440,000$ 100,000$0$
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
1Jesper Boqvist74223759-11206515620510.73%11146119.74512173000000446.69%00.8116
2Jakub Zboril7984250-185694817810.26%87158220.03459360000100%00.6300
3Zachary Senyshyn75252247-2955798719812.63%16131217.5059143200012148.68%00.7206
4Ivan Chekhovich71182341-2022726716111.18%6133718.845493100003144.52%00.6117
5Robin Salo7583139-26406466998.08%110162621.69358480000100%00.4800

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
1Marek Langhamer47152460.8803.8926512017214340200.71428
2Dan Blackburn3882420.8763.781919201219740120.60010
3Mattias Modig102100.9053.13402002122000000

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
1582184903246218322-1044192101226111160-494192802020107162-55582183966142084606713221170275373460263071259012862384318.07%2516673.71%11256264047.58%1375282548.67%641137346.69%1880127220116201087533
Total Saison régulière82184903246218322-1044192101226111160-494192802020107162-55582183966142084606713221170275373460263071259012862384318.07%2516673.71%11256264047.58%1375282548.67%641137346.69%1880127220116201087533
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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