Connexion

Phantoms
GP: 4 | W: 2 | L: 2
GF: 8 | GA: 7 | PP%: 17.65% | PK%: 82.61%
DG: Mathieu Gendron | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #36 vs Crunch
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Centre de jeu
Crunch
2-2-0, 4pts
0
FINAL
2 Phantoms
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 1.75
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Crunch
2-2-0, 4pts
2
FINAL
1 Phantoms
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 1.75
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Phantoms
2-2-0, 4pts
Jour 9
Crunch
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
2.00Buts par match 1.75
1.75Buts contre par match 1.75
17.65%Pourcentage en avantage numérique17.39%
82.61%Pourcentage en désavantage numérique82.35%
Crunch
2-2-0, 4pts
Jour 11
Phantoms
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 2.00
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Phantoms
2-2-0, 4pts
Jour 13
Crunch
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
2.00Buts par match 1.75
1.75Buts contre par match 1.75
17.65%Pourcentage en avantage numérique17.39%
82.61%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Ty Smith
2
Passes
Nicholas Robertson
3
Points
Nicholas Robertson
3
Plus/Moins
John Leonard
1
Victoires
Karel Vejmelka
2
Pourcentage d’arrêts
Karel Vejmelka
0.901

Statistiques d’équipe
Buts pour
8
2.00 GFG
Tirs pour
59
14.75 Avg
Pourcentage en avantage numérique
17.6%
6 GF
Début de zone offensive
42.7%
Buts contre
7
1.75 GAA
Tirs contre
71
17.75 Avg
Pourcentage en désavantage numérique
82.6%%
4 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralMathieu Gendron
EntraîneurDavid Hakstol
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 60
Espoirs21


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
1John Leonard (R)0XX100.007567927267778261505959645644446450002511,137,500$
2Nicholas Robertson0X100.00774299745858516856656470254646685000211821,667$
3Tyce Thompson (R)0X100.00716683666657585650565161484444575000242762,500$
4Alex Limoges (R)0XX100.00807494587476796480626267594444665000251867,000$
5Lane Pederson0X100.00909273717262676372606064255454655000264750,000$
6Tye Kartye (R)0X100.0073727666728084645060656462444467500N0223925,000$
7Givani Smith0XX100.00849947718147695925585662255858605000252750,000$
8Alexander Holtz (R)0XX100.006141877870566466255570572546466650002111,775,000$
9Taro Hirose0X100.00705994695984906450655864555050655000271850,000$
10Brandon Gignac0XX100.00716390716352506480606265595555645000251921,666$
11Michael Sgarbossa0X100.00726882796867676680656464614545675000312750,000$
12Andreas Johnsson0XX100.006542868268657768426855627965656450002813,400,000$
13Ty Smith0X100.007064848464707359255051644858586150002331,263,333$
14Zachary Jones0X100.00614191706468836025454870754747595000223925,000$
15Jordan Harris (R)0X100.007142876767765863255448812553536250002331,137,500$
16Jacob Christiansen (R)0X100.00714394807267886325524765254646615000233925,000$
17Thomas Harley0X100.007671887871788457254949644747476050002211,288,333$
18Mark Friedman0X100.00887581736965586125484874255253615000271775,000$
Rayé
1Josiah Slavin (R)0X100.00706190706175825063474859464444565000241925,000$
2Stelio Mattheos (R)0X100.00717171647157595063494759454444545000241925,000$
3Layton Ahac (R)0X100.00767286617252554525344060384444515000221925,000$
4David Farrance0X100.007367887967504954255241613944445550002411,350,000$
5Simon Lundmark (R)0X100.00807590707571774825404063384444545000222925,000$
6Josh Brook (R)0X100.00737178657142405225494161394444525000242910,833$
MOYENNE D’ÉQUIPE100.0074648572686569594354536445484861500
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
1Karel Vejmelka0100.0068817781726483686568755656715000273925,000$
2Joseph Woll (R)0100.0063486077686361686564304545625000251766,667$
Rayé
1Leevi Merilainen (R)0100.004757716845934551908145444463500N0213820,000$
2Ivan Prosvetov (R)0100.0051577166505350565151304545525000244750,000$
MOYENNE D’ÉQUIPE100.005761707359686061686645484862500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Hakstol80868885807569CAN5521,500,000$


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
1Nicholas RobertsonPhantoms (PHI)LW4033100178360%28020.07022226000017000%200000.7500000010
2Mark FriedmanPhantoms (PHI)D4033160974310%29223.10022325000013000%000000.6500000000
3Ty SmithPhantoms (PHI)D42020800641250.00%38721.90202328000013100%000000.4600000000
4John LeonardPhantoms (PHI)LW/RW42021401233166.67%06817.1310112700005000%300000.5800000000
5Jacob ChristiansenPhantoms (PHI)D4022100213240%49523.88022225000015000%000000.4200000000
6Michael SgarbossaPhantoms (PHI)C4022-1401064150%07719.460222270000100046.91%8100000.5100000001
7Andreas JohnssonPhantoms (PHI)LW/RW4112-10021062616.67%18822.051123260000181035.90%3900000.4500000010
8Tyce ThompsonPhantoms (PHI)RW41011205021150.00%0358.9800003000000050.00%200000.5600000010
9Jordan HarrisPhantoms (PHI)D4011060533150%49022.74011229000015000%000000.2200000000
10Lane PedersonPhantoms (PHI)C41011956230433.33%15814.63101126000000038.81%6700000.3400100001
11Tye KartyePhantoms (PHI)LW4011120714410%14511.260000500000000%000000.4400000000
12Alexander HoltzPhantoms (PHI)LW/RW4101-1002052620.00%07819.551011260000110020.00%500000.2600000001
13Brandon GignacPhantoms (PHI)C/LW4011120031110%0317.7600000000000040.00%2500000.6400000000
14Zachary JonesPhantoms (PHI)D4000-220131020%37318.4000014000010000%00000000000000
15Alex LimogesPhantoms (PHI)C/LW4000-2200103220%15914.7700000000090047.62%420000000000000
16Thomas HarleyPhantoms (PHI)D4000-240510000%06817.180000500004000%00000000000000
17Givani SmithPhantoms (PHI)LW/RW4000-2235634000%0389.710000000000000%00000000001000
18Taro HirosePhantoms (PHI)LW4000-200041110%05914.7800007000000062.50%80000000000000
Statistiques d’équipe totales ou en moyenne7281422-57410626959274813.56%22122917.08610162129400001482041.97%27400000.3600101033
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
1Karel VejmelkaPhantoms (PHI)42110.9011.65254017710100040100
Statistiques d’équipe totales ou en moyenne42110.9011.6525401771010040100


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
Alex LimogesPhantoms (PHI)C/LW251997-09-16Yes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm867,000$371,571$867,000$371,571$0$0$No------------------Lien
Alexander HoltzPhantoms (PHI)LW/RW212002-01-23Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$760,714$925,000$396,429$0$0$No------------------Lien
Andreas JohnssonPhantoms (PHI)LW/RW281994-11-20No194 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm3,400,000$1,457,143$3,400,000$1,457,143$0$0$No------------------Lien
Brandon GignacPhantoms (PHI)C/LW251997-11-07No170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm921,666$395,000$921,666$395,000$0$0$No------------------Lien
David FarrancePhantoms (PHI)D241999-06-23No189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$578,571$1,350,000$578,571$0$0$No------------------Lien
Givani SmithPhantoms (PHI)LW/RW251998-02-27No210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Ivan ProsvetovPhantoms (PHI)G241999-03-05Yes161 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Jacob ChristiansenPhantoms (PHI)D231999-12-09Yes195 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------Lien
John LeonardPhantoms (PHI)LW/RW251998-08-07Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,137,500$487,500$1,137,500$487,500$0$0$No------------------Lien
Jordan HarrisPhantoms (PHI)D232000-07-07Yes189 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,137,500$487,500$1,137,500$487,500$0$0$No1,137,500$1,137,500$-------NoNo-------Lien
Joseph WollPhantoms (PHI)G251998-07-12Yes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm766,667$328,572$766,667$328,572$0$0$No------------------Lien
Josh BrookPhantoms (PHI)D241999-06-17Yes194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm910,833$390,357$910,833$390,357$0$0$No910,833$--------No--------Lien
Josiah SlavinPhantoms (PHI)C241998-12-31Yes161 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Karel VejmelkaPhantoms (PHI)G271996-05-25No203 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------Lien
Lane PedersonPhantoms (PHI)C261997-08-04No190 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Layton AhacPhantoms (PHI)D222001-02-22Yes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Leevi MerilainenPhantoms (PHI)G212002-08-13Yes175 Lbs6 ft2YesNoN/ANoNo3FalseFalsePro & Farm820,000$351,429$820,000$351,429$0$0$No820,000$820,000$-------YesYes-------Lien
Mark FriedmanPhantoms (PHI)D271995-12-25No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$332,143$775,000$332,143$0$0$No------------------Lien
Michael SgarbossaPhantoms (PHI)C311992-07-25No185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Nicholas RobertsonPhantoms (PHI)LW212001-09-11No162 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm821,667$352,143$821,667$352,143$0$0$No------------------Lien
Simon LundmarkPhantoms (PHI)D222000-10-08Yes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$--------No--------Lien
Stelio MattheosPhantoms (PHI)C241999-06-14Yes194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Taro HirosePhantoms (PHI)LW271996-06-30No162 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$364,286$850,000$364,286$0$0$No------------------Lien
Thomas HarleyPhantoms (PHI)D222001-08-18No188 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,288,333$552,143$1,288,333$552,143$0$0$No------------------Lien
Ty SmithPhantoms (PHI)D232000-03-23No176 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,263,333$541,428$1,263,333$541,428$0$0$No1,263,333$1,263,333$-------NoNo-------Lien
Tyce ThompsonPhantoms (PHI)RW241999-07-11Yes178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$326,786$762,500$326,786$0$0$No762,500$--------No--------Lien
Tye KartyePhantoms (PHI)LW222001-04-30Yes202 Lbs5 ft11YesNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------YesYes-------Lien
Zachary JonesPhantoms (PHI)D222000-10-18No175 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.18186 Lbs6 ft01.891,044,536$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnssonMichael SgarbossaAlexander Holtz35122
2Nicholas RobertsonLane PedersonJohn Leonard30122
3Taro HiroseAlex LimogesGivani Smith25122
4Tye KartyeBrandon GignacTyce Thompson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanJacob Christiansen35122
2Jordan HarrisTy Smith30122
3Thomas HarleyZachary Jones25122
4Mark FriedmanJacob Christiansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnssonMichael SgarbossaAlexander Holtz60122
2Nicholas RobertsonLane PedersonJohn Leonard40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanJacob Christiansen60122
2Jordan HarrisTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonNicholas Robertson60122
2Michael SgarbossaAlexander Holtz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanJacob Christiansen60122
2Jordan HarrisTy Smith40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Johnsson60122Mark FriedmanJacob Christiansen60122
2Nicholas Robertson40122Jordan HarrisTy Smith40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonNicholas Robertson60122
2Michael SgarbossaAlexander Holtz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanJacob Christiansen60122
2Jordan HarrisTy Smith40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnssonMichael SgarbossaAlexander HoltzMark FriedmanJacob Christiansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnssonMichael SgarbossaAlexander HoltzMark FriedmanJacob Christiansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Taro Hirose, Tye Kartye, Alex LimogesTaro Hirose, Tye KartyeAlex Limoges
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Harley, Zachary Jones, Jordan HarrisThomas HarleyZachary Jones, Jordan Harris
Tirs de pénalité
Andreas Johnsson, Nicholas Robertson, Michael Sgarbossa, Alexander Holtz, Lane Pederson
Gardien
#1 : Karel Vejmelka, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Andreas Johnsson, Nicholas Robertson, Michael Sgarbossa, Alexander Holtz, Lane Pederson, Taro Hirose, Taro Hirose, Tye Kartye, Alex Limoges, Brandon Gignac, John Leonard
Lignes de défense personnalisées en prolongation
Mark Friedman, Jacob Christiansen, Jordan Harris, Ty Smith, Thomas Harley


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
1Crunch42200000871211000003212110000055040.500814220142205924151647122746234617.65%23482.61%04511738.46%5110847.22%194938.78%9763101355627
Total42200000871211000003212110000055040.500814220142205924151647122746234617.65%23482.61%04511738.46%5110847.22%194938.78%9763101355627
_Since Last GM Reset42200000871211000003212110000055040.500814220142205924151647122746234617.65%23482.61%04511738.46%5110847.22%194938.78%9763101355627
_Vs Conference42200000871211000003212110000055040.500814220142205924151647122746234617.65%23482.61%04511738.46%5110847.22%194938.78%9763101355627

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44OTL181422597122746201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
422000087
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000032
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000055
Derniers 10 matchs
WLOTWOTL SOWSOL
210100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
34617.65%23482.61%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
24151644220
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
4511738.46%5110847.22%194938.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9763101355627


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
14Phantoms3Crunch2WSommaire du match
312Phantoms2Crunch3LSommaire du match
520Crunch0Phantoms2WSommaire du match
728Crunch2Phantoms1LXSommaire du match
936Phantoms-Crunch-
1144Crunch-Phantoms-
1352Phantoms-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,924,700$ 2,839,700$ 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$




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