Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yannick Bernier | Morale : 50 | Moyenne d'Équipe : N/A
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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
1Cole Bardreau (R)XX100.00864582636652625459605968255555635000263700,000$
2Lane PedersonX100.00717170667168696780636763644444675000223777,500$
3Gemel SmithXXX100.006968727268747667805968656556566750002611,000,000$
4Givani SmithXX100.00857687667654787025555961254545635000222913,333$
5Melker KarlssonXX100.006742897865628757406059777566696545002912,000,000$
6Mikkel BoedkerXX100.006743998576546362326059726175776444003011,000,000$
7Maxim LetunovX100.007771916271707265806660665744446550002411,000,000$
8Nathan BastianX100.00777875627877816250586265594444645000223992,500$
9Pontus AbergXX100.007370817670757866506265676254556751002611,000,000$
10Jack Studnicka (R)X100.00716585736575786580616563624444675000213863,333$
11Evan RodriguesXXX100.006541907766597761655964707563636650002611,000,000$
12Valentin ZykovXX100.007845877180625964256558562548486250002511,000,000$
13Alex Formenton (R)X100.00727371767367686650616864654444675000203888,333$
14Mark AltX100.00787781657770764725374262404444535000281650,000$
15Mark FriedmanX100.00716781646775815125474159394444545000242825,000$
16Reece Willcox (R)X100.00777092627071784725394061384444535000263675,000$
17Josh Brook (R)X100.00737179697173804725374159394444525000213910,833$
Rayé
1Jack KopackaX100.00807298627256565650505765544444605000222910,833$
2Stelio MattheosX100.00787291557262645550495764544444605000212925,000$
3Lean Bergmann (R)XX100.008946897576516451265855562545456050002111,000,000$
4Danil Yurtaykin (R)XX100.006961897161606255506046594444445650002211,000,000$
5Tyrell GoulbourneXX100.00727078687069764550414458424444525000261775,000$
6Luke GreenX100.00756990606940404225284159394444485000222838,333$
MOYENNE D'ÉQUIPE100.0075648569716471574654566349494961500
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 SP
1Anton Forsberg100.0055617678555750585352304848554400
2Charlie Lindgren100.0051587375485354585252304646535000
Rayé
1Joseph Woll (R)100.0050648080455250554949304444524300
MOYENNE D'ÉQUIPE100.005261767849545157515130464653460
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme73727068696479CAN493850,000$


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 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
Alex FormentonPhantoms (PHI)LW201999-09-13Yes190 Lbs6 ft3NoNoNo3Pro & Farm888,333$888,333$0$0$No888,333$888,333$
Anton ForsbergPhantoms (PHI)G271992-11-26No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Charlie LindgrenPhantoms (PHI)G261993-12-17No190 Lbs6 ft2NoNoNo1Pro & Farm1,300,000$1,300,000$0$0$NoLien
Cole BardreauPhantoms (PHI)C/RW261993-07-22Yes185 Lbs5 ft10NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$
Danil YurtaykinPhantoms (PHI)LW/RW221997-07-01Yes165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Evan RodriguesPhantoms (PHI)C/LW/RW261993-07-28No182 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Gemel Smith (Contrat à 1 Volet)Phantoms (PHI)C/LW/RW261994-04-16No190 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$100,000$0$NoLien
Givani SmithPhantoms (PHI)LW/RW221998-02-27No204 Lbs6 ft2NoNoNo2Pro & Farm913,333$913,333$0$0$No913,333$Lien
Jack KopackaPhantoms (PHI)LW221998-05-05No192 Lbs6 ft2NoNoNo2Pro & Farm910,833$910,000$0$0$No910,833$Lien
Jack StudnickaPhantoms (PHI)C211999-02-17Yes171 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien
Joseph WollPhantoms (PHI)G211998-07-12Yes200 Lbs6 ft3NoNoNo3Pro & Farm850,000$800,000$0$0$No800,000$800,000$Lien
Josh BrookPhantoms (PHI)D211999-06-17Yes192 Lbs6 ft1NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$
Lane PedersonPhantoms (PHI)C221997-08-04No192 Lbs6 ft1NoNoNo3Pro & Farm777,500$690,000$0$0$No690,000$690,000$Lien
Lean BergmannPhantoms (PHI)LW/RW211998-10-04Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Luke GreenPhantoms (PHI)D221998-01-11No188 Lbs6 ft1NoNoNo2Pro & Farm838,333$850,000$0$0$No838,333$Lien
Mark AltPhantoms (PHI)D281991-10-17No201 Lbs6 ft4NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Mark FriedmanPhantoms (PHI)D241995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien
Maxim LetunovPhantoms (PHI)C241996-02-19No180 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Melker KarlssonPhantoms (PHI)C/RW291990-07-18No182 Lbs5 ft10NoNoNo1Pro & Farm2,000,000$2,000,000$0$0$NoLien
Mikkel BoedkerPhantoms (PHI)LW/RW301989-12-15No210 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Nathan BastianPhantoms (PHI)RW221997-12-06No205 Lbs6 ft4NoNoNo3Pro & Farm992,500$905,000$0$0$No905,000$905,000$Lien
Pontus AbergPhantoms (PHI)LW/RW261993-09-22No196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Reece WillcoxPhantoms (PHI)D261994-05-20Yes183 Lbs6 ft3NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$
Stelio MattheosPhantoms (PHI)RW211999-06-13No198 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Tyrell GoulbournePhantoms (PHI)LW/RW261994-01-25No195 Lbs5 ft11NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien
Valentin ZykovPhantoms (PHI)LW/RW251995-05-14No224 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.08192 Lbs6 ft11.81953,654$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikkel BoedkerMelker KarlssonPontus Aberg35122
2Gemel SmithEvan RodriguesValentin Zykov30122
3Alex FormentonJack StudnickaGivani Smith25122
4Mikkel BoedkerMaxim LetunovCole Bardreau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark FriedmanMark Alt35122
2Reece WillcoxJosh Brook30122
3Maxim LetunovLane Pederson25122
4Mark FriedmanMark Alt10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikkel BoedkerMelker KarlssonPontus Aberg60122
2Gemel SmithEvan RodriguesValentin Zykov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark FriedmanMark Alt60122
2Reece WillcoxJosh Brook40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mikkel BoedkerMelker Karlsson60122
2Pontus AbergEvan Rodrigues40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark FriedmanMark Alt60122
2Reece WillcoxJosh Brook40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mikkel Boedker60122Mark FriedmanMark Alt60122
2Melker Karlsson40122Reece WillcoxJosh Brook40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mikkel BoedkerMelker Karlsson60122
2Pontus AbergEvan Rodrigues40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark FriedmanMark Alt60122
2Reece WillcoxJosh Brook40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikkel BoedkerMelker KarlssonPontus AbergMark FriedmanMark Alt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikkel BoedkerMelker KarlssonPontus AbergMark FriedmanMark Alt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan Bastian, Jack Studnicka, Alex FormentonNathan Bastian, Jack StudnickaAlex Formenton
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reece Willcox, Josh Brook, Mark FriedmanReece WillcoxJosh Brook, Mark Friedman
Tirs de Pénalité
Mikkel Boedker, Melker Karlsson, Pontus Aberg, Evan Rodrigues, Gemel Smith
Gardien
#1 : Anton Forsberg, #2 : Charlie Lindgren


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
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,379,498$ 2,358,082$ 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$ 0 0$ 0$




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
20208235320136523222111412113000341251012441141901331107120-139223239462624927162151699589552534601689492121216304735812.26%5337186.68%91215233052.15%1110228048.68%617118751.98%199413812005611988490
Total Saison Régulière8235320136523222111412113000341251012441141901331107120-139223239462624927162151699589552534601689492121216304735812.26%5337186.68%91215233052.15%1110228048.68%617118751.98%199413812005611988490





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