Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Kyle Collington | Morale : 50 | Moyenne d'Équipe : 62
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Statistiques d'Équipe


Directeur généralKyle Collington
Metropolitan Division
Eastern Conference




Capacité de l'Aréna5,000
Assistance
5,000




26
19
45 / 55
Éspoirs34


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
1Mitchell McLain0X100.00556879535389993965576441522540050620291750,000$
2Peter Abbandonato (R)0X100.00524984585758514665646449552540050620251750,000$
3Tyler Boland (R)0X100.00513785586058454665616550562540050620261750,000$
4Sam Anas33X100.00516885545488994165586441522540050620301750,000$
5Gabriel Fortier (R)0X100.00526683535385984036586443522540050620231925,000$
6Dominik Shine0X100.00556680535383974036576439522540050610301750,000$
7Joseph Gambardella0X100.00526384545476884136596443522540050610291750,000$
8Tyler Madden (R)0X100.00525484555558654465596543542540050600231925,000$
9Jacob Perreault (R)0X100.00545881545465754036586438522540050590212925,000$
10Tuukka Tieksola (R)0X100.00525683545461714036596443522540050590221823,333$
11Evan Weinger0X100.00526083525371823736566435502540050580263840,000$
12Colt Conrad (R)0X100.00535283525458603865576437512540050570263840,000$
13Chad Nychuk0X100.00513785536258453936606343512540050590221750,000$
14Devante Stephens (R)0X100.00546081515269803736576340502540050590261750,000$
15Jimmy Oligny0X100.00536482515279913636566336502540050590301750,000$
16Madison Bowey0X100.00535781535462723936586441512540050590281750,000$
17Wyatte Wylie (R)0X100.00526384525276883736576337502540050590231925,000$
18Hunter Skinner (R)0X100.00525583525358663736576338502540050570222925,000$
Rayé
1Mitchell Stephens0X100.00536482555480934265596444532540050620262971,250$
2Brayden Burke0X100.00525384525658623936586341512540050580262750,000$
3Brent Gates Jr. (R)0X100.00525384535458613936586439512540050580253787,500$
4Ole Bjorgvik-Holm (R)0X100.00524384515258453636566334492540050560212825,000$
MOYENNE D'ÉQUIPE100.0053578353546874404558644152254005060
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
1Ivan Prosvetov (R)100.0078655370777271777357752651050750243962,000$
2Ryan Bednard100.0075655368776074596376682555050690261750,000$
Rayé
1Carter Hart100.00898594929090909191839141740509302444,177,950$
2Jussi Olkinuora (R)100.0070655370726167676471682555050680321750,000$
MOYENNE D'ÉQUIPE100.007870637579717674737276295905076
Nom du Coach 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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brayden BurkePhantoms (PHI)LW261997-01-01No180 Lbs5 ft11NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Brent Gates Jr.Phantoms (PHI)RW251997-08-12Yes198 Lbs6 ft2NoNoNo3Pro & Farm787,500$262,500$787,500$262,500$0$0$No787,500$787,500$Lien / Lien NHL
Carter Hart (Contrat à 1 Volet)Phantoms (PHI)G241998-08-13No181 Lbs6 ft2NoNoNo4Pro & Farm4,177,950$1,392,650$4,177,950$1,392,650$3,052,950$1,017,650$No4,177,950$4,177,950$4,177,950$Lien / Lien NHL
Chad NychukPhantoms (PHI)D222001-03-06No194 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Colt ConradPhantoms (PHI)C261997-04-27Yes183 Lbs5 ft10NoNoNo3Pro & Farm840,000$280,000$840,000$280,000$0$0$No840,000$840,000$Lien / Lien NHL
Devante StephensPhantoms (PHI)D261997-01-02Yes185 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Dominik ShinePhantoms (PHI)RW301993-04-18No180 Lbs5 ft11NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Evan WeingerPhantoms (PHI)RW261997-04-18No193 Lbs6 ft0NoNoNo3Pro & Farm840,000$280,000$840,000$280,000$0$0$No840,000$840,000$Lien / Lien NHL
Gabriel FortierPhantoms (PHI)LW232000-02-06Yes173 Lbs5 ft10NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Hunter SkinnerPhantoms (PHI)D222001-04-29Yes182 Lbs6 ft2NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Ivan ProsvetovPhantoms (PHI)G241999-03-05Yes189 Lbs6 ft5NoNoNo3Pro & Farm962,000$320,667$962,000$320,667$0$0$No962,000$962,000$Lien / Lien NHL
Jacob PerreaultPhantoms (PHI)RW212002-04-15Yes192 Lbs5 ft11NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Jimmy OlignyPhantoms (PHI)D301993-04-30No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Joseph GambardellaPhantoms (PHI)LW291993-12-01No200 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Jussi OlkinuoraPhantoms (PHI)G321990-11-04Yes205 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Madison BoweyPhantoms (PHI)D281995-04-22No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Mitchell McLainPhantoms (PHI)C291993-12-09No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Mitchell StephensPhantoms (PHI)C261997-02-05No193 Lbs6 ft0NoNoNo2Pro & Farm971,250$323,750$971,250$323,750$0$0$No971,250$Lien / Lien NHL
Ole Bjorgvik-HolmPhantoms (PHI)D212002-05-23Yes195 Lbs6 ft3NoNoNo2Pro & Farm825,000$275,000$825,000$275,000$0$0$No825,000$Lien / Lien NHL
Peter AbbandonatoPhantoms (PHI)C251998-03-25Yes195 Lbs5 ft11NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Ryan BednardPhantoms (PHI)G261997-03-31No205 Lbs6 ft5NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Sam AnasPhantoms (PHI)C301993-06-01No162 Lbs5 ft9NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Tuukka TieksolaPhantoms (PHI)RW222001-06-22Yes146 Lbs5 ft10NoNoNo1Pro & Farm823,333$274,444$823,333$274,444$0$0$NoLien / Lien NHL
Tyler BolandPhantoms (PHI)C261996-09-12Yes194 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Tyler MaddenPhantoms (PHI)C231999-11-09Yes170 Lbs5 ft11NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Wyatte WyliePhantoms (PHI)D231999-11-02Yes190 Lbs6 ft0NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.58188 Lbs6 ft01.62946,232$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel FortierMitchell McLainDominik Shine30122
2Joseph GambardellaSam AnasJacob Perreault30122
3Peter AbbandonatoTyler BolandTuukka Tieksola20122
4Mitchell McLainPeter AbbandonatoGabriel Fortier20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Hunter SkinnerJimmy Oligny30122
2Devante StephensWyatte Wylie30122
3Madison BoweyChad Nychuk20122
4Chad NychukJimmy Oligny20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel FortierMitchell McLainDominik Shine50122
2Joseph GambardellaSam AnasJacob Perreault50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad NychukJimmy Oligny50122
2Devante StephensWyatte Wylie50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mitchell McLainGabriel Fortier50122
2Sam AnasTyler Boland50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad NychukJimmy Oligny50122
2Devante StephensWyatte Wylie50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mitchell McLain50122Chad NychukJimmy Oligny50122
2Gabriel Fortier50122Devante StephensWyatte Wylie50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mitchell McLainGabriel Fortier50122
2Sam AnasTyler Boland50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyJimmy Oligny50122
2Devante StephensWyatte Wylie50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel FortierMitchell McLainDominik ShineDevante StephensJimmy Oligny
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel FortierMitchell McLainDominik ShineDevante StephensJimmy Oligny
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mitchell McLain, Tyler Madden, Tuukka TieksolaGabriel Fortier, Tyler MaddenTuukka Tieksola
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Madison Bowey, Chad Nychuk, Devante StephensMadison BoweyChad Nychuk, Devante Stephens
Tirs de Pénalité
Mitchell McLain, Gabriel Fortier, Sam Anas, Tyler Boland, Peter Abbandonato
Gardien
#1 : Ivan Prosvetov, #2 : Ryan Bednard
Lignes d'Attaque Perso. en Prol.
Mitchell McLain, Gabriel Fortier, Sam Anas, Tyler Boland, Peter Abbandonato, Tuukka Tieksola, Tuukka Tieksola, Dominik Shine, Joseph Gambardella, Tyler Madden, Jacob Perreault
Lignes de Défense Perso. en Prol.
Chad Nychuk, Jimmy Oligny, Devante Stephens, Wyatte Wylie, Madison Bowey


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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
000.00%000.00%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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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
Capacité de l'Aréna35001500
Prix des Billets105
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 20,424,084$ 20,424,084$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Phantoms

# 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
1Joel Kiviranta82144100244871812110737838.10%54190723.2717122949113142314235.37%232.5602
2Ryan McLeod82731392129607612127426.64%39178021.721025353231316125058.97%62.3802
3Mitchell Stephens20568111179-548718213337418.18%54228911.17712194022475256.94%31.5601
4Gabriel Fortier24642109151-127204092935807.24%122479819.51721287704492339.81%00.6305
5Logan Stanley4684561409023629121339.44%92120526.21761328437111110.00%122.3200

Phantoms

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Laurent Brossoit75421150.8244.5841442103161797985700.5717
2Carter Hart1211010.8683.487250142319170100.6673
3Harri Sateri55104050.8246.01331712033218871060201.0008
4Pat Nagle2761740.8594.84162500131929584110.0002
5Ivan Prosvetov2251430.8844.3113360096826490000.85714

Phantoms

LigueDomicileVisiteur
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
2021824630013025164298741261300002270190804120170130024623979951679213080110207163145226607587267792149798162211681665935.54%2174678.80%25640115055.65%657120354.61%838159152.67%1703110319926041237621
202282125702821283465-1824182300811160226-664143402010123239-116412834927751011080894270792284991927281797329716081854122.16%1454171.72%4755146151.68%650132249.17%690130352.95%1771108618016741373686
20238246705222165445-280413310312185184-99411360210180261-181261652874521067553672725970864864473237122997314821151815.65%953563.16%4693145247.73%744151849.01%591118549.87%155191420456801353652
Total Saison Régulière246621540813459641339-375123376703934515600-85123258705411449739-290166964157125352111773422881567698189224712509853820330002892425846611825.32%45712273.30%332088406351.39%2051404350.73%2119407951.95%502531045839195939641960
Séries
2021514000002540-1521100000812-4303000001728-1122536610001933128051443319198978212325.00%11554.55%0448055.00%418747.13%629962.63%10770120367136
Total Séries514000002540-1521100000812-4303000001728-1122536610001933128051443319198978212325.00%11554.55%0448055.00%418747.13%629962.63%10770120367136

Phantoms

# 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
1Wade Allison541115307131723.53%811422.82123100001042.11%02.6300
2Logan Stanley5471172591330.77%129919.9010130000000.00%02.2100
3Joel Kiviranta5641032461833.33%811322.73112100000050.00%11.7600
4Mitchell Stephens5347-89771618.75%29519.15000300000057.14%01.4600
5Ryan McLeod542640151040.00%27214.51011100000052.86%01.6500

Phantoms

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA