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Adirondack Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Mathieu Cloutier | Morale : 18 | Moyenne d’équipe : 65
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMathieu Cloutier
EntraîneurIan Laperriere
DivisionDivision 2
ConférenceConference 1
CapitaineLouie Belpedio
Assistant #1Rhett Gardner
Assistant #2Adam Brooks


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs27


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
1Owen Tippett0XX100.0075339484818390786075816979686784737302491,500,000$
2Tyson Foerster (R)0X100.007033857478849073586876707562618164690212863,333$
3Morgan Frost0X100.0065328976668288748278727073676678736902422,100,000$
4Justin Brazeau0X100.008234967190746870586576677369694276670252775,000$
5Parker Kelly0XX100.008338826074748663586463856367654361660241762,500$
6Wade Allison0X100.009041796381777466576469746869676876660251785,000$
7Bobby Brink (R)0X100.006131937161788371617172616163627776650221925,000$
8Lukas Reichel0XXX100.005932927167807866617168666761618369650211925,000$
9Jack Dugan0X100.006835786177767360666358576264665473600251700,000$
10Olle Lycksell0XXX100.005531816163726963597059586166644865600242787,500$
11Rhett Gardner (A)0XX100.006833995584776550705050705072715173580272775,000$
12Elliot Desnoyers0X100.008232995571786651305050755161615762580212825,000$
13Cam York0X100.0066328169689390723072698770646284767102221,600,000$
14Erik Brannstrom0X100.0062328266708388653071597662666482626702412,000,000$
15Louie Belpedio (C)0X100.007033996775776766306872776972695376670272775,000$
16Ronnie Attard0X100.007833836384816967306850785867656776670242850,000$
17Adam Ginning0X100.007933926277796750305067725965647173640231883,750$
18Victor Mete0X100.005732885770776759306850635468675976600251775,000$
Rayé
1Ryan Poehling0X100.0064339670788090708371699069686579627002431,400,000$
2Adam Brooks (R) (A)0X100.006137866070817859676061586068705255600271762,500$
3Mason Millman0X100.006338805472646353305650524563656117550221818,333$
MOYENNE D’ÉQUIPE100.00693488657479776451656470636665656765
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
1Samuel Ersson0100.00698275738074818982898166705471770233859,167$
2Garret Sparks0100.00627065876160626160626171853882660301700,000$
Rayé
1Felix Sandstrom0100.00606969786765708372837070746330700261775,000$
MOYENNE D’ÉQUIPE100.0064747079696671787178716976526171
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ian Laperriere63636371736878CAN482800,000$


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 restantSalaire moyenSalaire moyen 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
Adam BrooksAdirondack Phantoms (PHI)C271996-05-06 17:49:39Yes183 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$750,000$160,714$0$0$No------------------
Adam GinningAdirondack Phantoms (PHI)D232000-01-13 16:37:01No193 Lbs7 ft9NoNoN/ANoNo1FalseFalsePro & Farm883,750$189,375$700,000$150,000$0$0$No------------------
Bobby BrinkAdirondack Phantoms (PHI)RW222001-07-08 17:53:07Yes173 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$198,214$750,000$160,714$0$0$No------------------
Cam YorkAdirondack Phantoms (PHI)D222001-01-05No175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,600,000$342,857$0$0$No1,600,000$--------No--------Lien / Lien NHL
Elliot DesnoyersAdirondack Phantoms (PHI)LW212002-01-21 16:29:30No180 Lbs6 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$176,786$700,000$150,000$0$0$No825,000$--------No--------
Erik BrannstromAdirondack Phantoms (PHI)D241999-09-02No185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$428,571$0$0$No------------------Lien
Felix SandstromAdirondack Phantoms (PHI)G261997-01-12No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$0$0$No------------------Lien / Lien NHL
Garret SparksAdirondack Phantoms (PHI)G301993-06-28No220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Jack DuganAdirondack Phantoms (PHI)LW251998-03-24No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Justin BrazeauAdirondack Phantoms (PHI)RW251998-02-02No220 Lbs6 ft5NoNoN/ANoNo22024-04-28FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No775,000$--------No--------Lien
Louie BelpedioAdirondack Phantoms (PHI)D271996-05-14No191 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No775,000$--------No--------Lien
Lukas ReichelAdirondack Phantoms (PHI)C/LW/RW212002-05-17No170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$198,214$0$0$No------------------Lien
Mason MillmanAdirondack Phantoms (PHI)D222001-07-18No175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm818,333$175,357$750,000$160,714$0$0$No------------------Lien
Morgan FrostAdirondack Phantoms (PHI)C241999-05-14No170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm2,100,000$450,000$0$0$No2,100,000$--------No--------Lien
Olle LycksellAdirondack Phantoms (PHI)C/LW/RW241999-08-24 16:33:19No181 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm787,500$168,750$700,000$150,000$0$0$No787,500$--------No--------
Owen TippettAdirondack Phantoms (PHI)LW/RW241999-02-16No207 Lbs6 ft1NoNoN/ANoNo92024-04-28FalseFalsePro & Farm1,500,000$321,429$0$0$No6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$1,500,000$-NoNoNoNoNoNoNoNo-Lien / Lien NHL
Parker KellyAdirondack Phantoms (PHI)C/LW241999-05-14No188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$0$0$No------------------Lien / Lien NHL
Rhett GardnerAdirondack Phantoms (PHI)C/LW271996-02-28No210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No775,000$--------No--------Lien
Ronnie AttardAdirondack Phantoms (PHI)D241999-03-20No208 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm850,000$182,143$700,000$150,000$0$0$No850,000$--------No--------Lien
Ryan PoehlingAdirondack Phantoms (PHI)C241999-01-03No196 Lbs6 ft2NoNoN/ANoNo32024-01-27FalseFalsePro & Farm1,400,000$300,000$700,000$150,000$0$0$No1,900,000$1,900,000$-------NoNo-------Lien
Samuel ErssonAdirondack Phantoms (PHI)G231999-10-20No176 Lbs6 ft2NoNoN/ANoNo32024-04-28FalseFalsePro & Farm859,167$184,107$750,000$160,714$0$0$No1,450,000$1,450,000$-------NoNo-------Lien
Tyson FoersterAdirondack Phantoms (PHI)RW212002-01-18 16:18:35Yes188 Lbs7 ft4NoNoN/ANoNo2FalseFalsePro & Farm863,333$185,000$700,000$150,000$0$0$No863,333$--------No--------
Victor MeteAdirondack Phantoms (PHI)D251998-06-07No185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$0$0$No------------------Lien / Lien NHL
Wade AllisonAdirondack Phantoms (PHI)RW251997-10-14No205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm785,000$168,214$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.17190 Lbs6 ft41.88996,753$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Wade AllisonMorgan FrostBobby Brink40113
2Jack DuganLukas ReichelJustin Brazeau30113
3Owen TippettOlle LycksellTyson Foerster20131
4Rhett GardnerParker KellyWade Allison10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromCam York45032
2Ronnie AttardVictor Mete35131
3Adam GinningLouie Belpedio20131
4Erik BrannstromCam York0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Olle LycksellMorgan FrostWade Allison60113
2Justin BrazeauParker KellyBobby Brink40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromCam York60122
2Ronnie AttardVictor Mete40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Wade AllisonOlle Lycksell60140
2Morgan FrostJustin Brazeau40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromCam York60122
2Ronnie AttardVictor Mete40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Olle Lycksell60140Erik BrannstromCam York60122
2Lukas Reichel40140Ronnie AttardVictor Mete40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin BrazeauOlle Lycksell60113
2Parker KellyWade Allison40113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromCam York60122
2Ronnie AttardVictor Mete40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Olle LycksellMorgan FrostWade AllisonErik BrannstromCam York
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Olle LycksellMorgan FrostWade AllisonErik BrannstromCam York
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Olle Lycksell, Bobby Brink, Justin BrazeauOlle Lycksell, Bobby BrinkOlle Lycksell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Mete, Adam Ginning, Louie BelpedioVictor MeteVictor Mete, Adam Ginning
Tirs de pénalité
Bobby Brink, Justin Brazeau, Wade Allison, Lukas Reichel, Olle Lycksell
Gardien
#1 : Garret Sparks, #2 : Samuel Ersson
Lignes d’attaque personnalisées en prolongation
Rhett Gardner, Tyson Foerster, Wade Allison, Elliot Desnoyers, Olle Lycksell, Bobby Brink, Bobby Brink, Justin Brazeau, Parker Kelly, Lukas Reichel, Morgan Frost
Lignes de défense personnalisées en prolongation
Erik Brannstrom, Cam York, Ronnie Attard, Victor Mete, Adam Ginning


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 billets350
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,392,208$ 1,080,000$ 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$ 6 0$ 0$




Adirondack 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

Adirondack 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

Adirondack 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

Adirondack 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

Adirondack 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