Connexion

Phantoms
GP: 6 | W: 2 | L: 4
GF: 14 | GA: 16 | PP%: 15.38% | PK%: 86.05%
DG: Yannick Bernier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Phantoms
2-4-0, 4pts
4
FINAL
5 Bruins
7-6-0, 14pts
Team Stats
L2StreakL1
1-2-0Home Record4-3-0
1-2-0Away Record3-3-0
2-4-0Last 10 Games5-4-1
2.33Buts par match 2.69
2.67Buts contre par match 2.38
15.38%Pourcentage en avantage numérique11.49%
86.05%Pourcentage en désavantage numérique84.38%
Bruins
7-6-0, 14pts
4
FINAL
2 Phantoms
2-4-0, 4pts
Team Stats
L1StreakL2
4-3-0Home Record1-2-0
3-3-0Away Record1-2-0
5-4-1Last 10 Games2-4-0
2.69Buts par match 2.33
2.38Buts contre par match 2.67
11.49%Pourcentage en avantage numérique15.38%
84.38%Pourcentage en désavantage numérique86.05%
Meneurs d'équipe
Buts
Alexander Barabanov
3
Passes
Tucker Poolman
4
Points
Tucker Poolman
6
Plus/Moins
Alexander Barabanov
3
Victoires
Dylan Ferguson
2
Pourcentage d’arrêts
Joseph Woll
1

Statistiques d’équipe
Buts pour
14
2.33 GFG
Tirs pour
153
25.50 Avg
Pourcentage en avantage numérique
15.4%
4 GF
Début de zone offensive
42.0%
Buts contre
16
2.67 GAA
Tirs contre
151
25.17 Avg
Pourcentage en désavantage numérique
86.0%
6 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralYannick Bernier
EntraîneurDominique Ducharme
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 Mineure19
Limite contact 47 / 60
Espoirs19


Historique d'équipe

Saison actuelle2-4
Historique38-36-7 (0.469%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1John Leonard (R)0XX100.006742987266586766256858592548485850002231,137,500$
2Alexander Barabanov (R)0XX100.006141917768626072256866662546465850002711,250,000$
3Quinton Byfield (R)0X100.008181827481666862785961675844446750001833,544,167$
4Alex Limoges (R)0X100.007974895874565466806069676644446550002311,500,000$
5Lane Pederson0XX100.00815983667063606774626357254545615000232690,000$
6Evan Barratt (R)0XX100.00726881646858585974575762544444615000222925,000$
7Givani Smith0XX100.00846176667856766625605860254747595000231913,333$
8Logan O'Connor0X100.007843936464546263355565732547485850002411,000,000$
9Nathan Bastian0X100.00886380627870786244616073254848635000232905,000$
10Taro Hirose0XX100.006450836359677371386757615347476050002411,000,000$
11Austin Czarnik0XXX100.006457788062644869786469652562636350002811,000,000$
12Jack Studnicka0XX100.00675392736569716071616165254647625000222863,333$
13Thomas Harley (R)0X100.007473776673717559255153635044456050001931,288,333$
14Tucker Poolman0X100.007945937873747459254948742557586150002811,000,000$
15Mark Friedman0X100.00765677646766545325485258254545545000251825,000$
16Layton Ahac (R)0X100.00767090617049514625373961374444535000203925,000$
17Reece Willcox (R)0X100.00807492627866654725394063374444575000272675,000$
18Josh Brook0X100.00727176697170715025434160394444565000222910,833$
Rayé
1Cole Bardreau0X100.00795685636657615969576367645555645000272700,000$
2Jan Mysak (R)0XX100.00756599636557604556384760454444585000193925,000$
3Gemel Smith0XXX100.006770607271675572806671657056566753002731,000,000$
4Jack Kopacka0X100.00787290637253505250485163424444585000231910,833$
5Zack Kassian0XX100.009263768379666761306867602571726549003011,950,000$
6Zachary Jones (R)0X100.00714293706765476625684768754444595000202925,000$
MOYENNE D’ÉQUIPE100.0075608568706363614656576440484960500
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
1Joseph Woll (R)100.0051607583475350565151304444535000222800,000$
2Dylan Ferguson (R)100.0059445572706440555854304444535000223733,333$
Rayé
1Jiri Patera (R)100.00495569804749505548483044445150002211,000,000$
2Dustin Wolf (R)100.00505569604850505549493044445050002011,000,000$
MOYENNE D’ÉQUIPE100.005254677453544855525130444452500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme73727068696479CAN502850,000$


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
1Tucker PoolmanPhantoms (PHI)D62460806873528.57%913422.38224721011031000.00%000000.8900000001
2Alexander BarabanovPhantoms (PHI)LW/RW632530029154820.00%011519.180113201012391116.67%600000.8700000200
3Austin CzarnikPhantoms (PHI)C/LW/RW6224340412173911.76%013722.841014200001330065.13%15200000.5800000010
4John LeonardPhantoms (PHI)LW/RW6123-30014122128.33%19415.79022518000000057.14%700000.6311000000
5Quinton ByfieldPhantoms (PHI)C6213-310016141061320.00%511619.500113180000200064.35%11500000.5100000010
6Thomas HarleyPhantoms (PHI)D60331601434200.00%513422.45011221011131000.00%000000.4500000000
7Alex LimogesPhantoms (PHI)C611206011313587.69%48914.84000010000100059.34%9100000.4500000010
8Givani SmithPhantoms (PHI)LW/RW602206045132130.00%18514.2100011000060025.00%400000.4700000000
9Logan O'ConnorPhantoms (PHI)RW611204049204115.00%07712.840000000000100.00%500000.5200000001
10Jack StudnickaPhantoms (PHI)C/RW6112-30025153106.67%29515.95101419000000069.23%1300000.4200000000
11Lane PedersonPhantoms (PHI)C/RW6011000642220.00%2345.6800000000000053.13%3200000.5900000000
12Layton AhacPhantoms (PHI)D4011-120900020.00%46516.2800001000010000.00%000000.3100000000
13Reece WillcoxPhantoms (PHI)D4101-110010031133.33%46315.920000100007000.00%000000.3100000000
14Taro HirosePhantoms (PHI)LW/RW6011020316040.00%0345.6800000000000050.00%200000.5900000000
15Cole BardreauPhantoms (PHI)C4000000112000.00%071.9500002000230075.00%400000.0000000000
16Evan BarrattPhantoms (PHI)C/LW6000000001000.00%0132.2600003000060066.67%600000.0000000000
17Mark FriedmanPhantoms (PHI)D6000-1801533140.00%612420.67000218000130000.00%000000.0000000000
18Nathan BastianPhantoms (PHI)RW600021001448150.00%09515.940002210000200066.67%300000.0000000000
19Josh BrookPhantoms (PHI)D4000-2100411020.00%78120.4900009000016000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne106142236-586011696152391099.21%50159915.0947113320012372712161.14%44000000.4511000232
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
1Dylan FergusonPhantoms (PHI)62400.8862.9133000161400000.000060000
2Joseph WollPhantoms (PHI)20001.0000.0028000110000.000006000
Statistiques d’équipe totales ou en moyenne82400.8942.6835800161510000.000066000


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 restantPlafond salarial 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 10Link
Alex LimogesPhantoms (PHI)C231997-09-16Yes201 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,000,000$0$0$NoLien
Alexander BarabanovPhantoms (PHI)LW/RW271994-06-16Yes192 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$1,000,000$0$0$NoLien
Austin CzarnikPhantoms (PHI)C/LW/RW281992-12-11No175 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Cole BardreauPhantoms (PHI)C271993-07-22No185 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Dustin WolfPhantoms (PHI)G202001-04-16Yes168 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Dylan FergusonPhantoms (PHI)G221998-09-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm733,333$733,333$0$0$No733,333$733,333$Lien
Evan BarrattPhantoms (PHI)C/LW221999-02-18Yes187 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Gemel Smith (contrat à 1 volet)Phantoms (PHI)C/LW/RW271994-04-16No203 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$700,000$100,000$0$No700,000$700,000$Lien
Givani SmithPhantoms (PHI)LW/RW231998-02-27No210 Lbs6 ft2NoNoNo1Pro & Farm913,333$913,333$0$0$NoLien
Jack KopackaPhantoms (PHI)LW231998-03-05No191 Lbs6 ft2NoNoNo1Pro & Farm910,833$910,000$0$0$NoLien
Jack StudnickaPhantoms (PHI)C/RW221999-02-18No171 Lbs6 ft1NoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Lien
Jan MysakPhantoms (PHI)C/LW192002-06-24Yes176 Lbs6 ft0NoNoNo3Pro & Farm925,000$850,833$0$0$No925,000$925,000$
Jiri PateraPhantoms (PHI)G221999-02-24Yes209 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
John LeonardPhantoms (PHI)LW/RW221998-08-07Yes183 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$1,137,500$0$0$No1,137,500$1,137,500$Lien
Joseph WollPhantoms (PHI)G221998-07-12Yes203 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Josh BrookPhantoms (PHI)D221999-06-17No192 Lbs6 ft1NoNoNo2Pro & Farm910,833$910,833$0$0$No910,833$Lien
Lane PedersonPhantoms (PHI)C/RW231997-08-04No190 Lbs6 ft0NoNoNo2Pro & Farm690,000$690,000$0$0$No690,000$Lien
Layton AhacPhantoms (PHI)D202001-02-22Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Logan O'ConnorPhantoms (PHI)RW241996-08-14No174 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Mark FriedmanPhantoms (PHI)D251995-12-25No185 Lbs5 ft11NoNoNo1Pro & Farm825,000$825,000$0$0$NoLien
Nathan BastianPhantoms (PHI)RW231997-12-06No205 Lbs6 ft4NoNoNo2Pro & Farm905,000$905,000$0$0$No905,000$Lien
Quinton ByfieldPhantoms (PHI)C182002-08-19Yes215 Lbs6 ft4NoNoNo3Pro & Farm3,544,167$3,544,167$0$0$No3,544,167$3,544,167$
Reece WillcoxPhantoms (PHI)D271994-03-20Yes205 Lbs6 ft4NoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
Taro HirosePhantoms (PHI)LW/RW241996-06-30No162 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Thomas HarleyPhantoms (PHI)D192001-08-18Yes190 Lbs6 ft3NoNoNo3Pro & Farm1,288,333$1,288,333$0$0$No1,288,333$1,288,333$
Tucker PoolmanPhantoms (PHI)D281993-06-08No199 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Zachary JonesPhantoms (PHI)D202000-10-18Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Zack KassianPhantoms (PHI)LW/RW301991-01-24No211 Lbs6 ft3NoNoNo1Pro & Farm1,950,000$1,950,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.29191 Lbs6 ft11.821,082,024$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovAustin CzarnikNathan Bastian35122
2John LeonardQuinton ByfieldJack Studnicka30122
3Givani SmithAlex LimogesLogan O'Connor25122
4Taro HiroseLane PedersonAustin Czarnik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanThomas Harley35122
2Mark FriedmanJosh Brook30122
3Reece WillcoxLayton Ahac25122
4Tucker PoolmanThomas Harley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovAustin CzarnikNathan Bastian60122
2John LeonardQuinton ByfieldJack Studnicka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanThomas Harley60122
2Mark FriedmanJosh Brook40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin CzarnikAlexander Barabanov60122
2Quinton ByfieldNathan Bastian40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanThomas Harley60122
2Mark FriedmanJosh Brook40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Czarnik60122Tucker PoolmanThomas Harley60122
2Alexander Barabanov40122Mark FriedmanJosh Brook40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin CzarnikAlexander Barabanov60122
2Quinton ByfieldNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanThomas Harley60122
2Mark FriedmanJosh Brook40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovAustin CzarnikNathan BastianTucker PoolmanThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovAustin CzarnikNathan BastianTucker PoolmanThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evan Barratt, Alex Limoges, Givani SmithEvan Barratt, Alex LimogesGivani Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reece Willcox, Layton Ahac, Mark FriedmanReece WillcoxLayton Ahac, Mark Friedman
Tirs de pénalité
Austin Czarnik, Alexander Barabanov, Quinton Byfield, Nathan Bastian, John Leonard
Gardien
#1 : Dylan Ferguson, #2 : Joseph Woll


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
1Bruins624000001416-23120000067-13120000089-140.3331422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434
Total624000001416-23120000067-13120000089-140.3331422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434
_Since Last GM Reset624000001416-23120000067-13120000089-140.3331422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434
_Vs Conference624000001416-23120000067-13120000089-140.3331422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2142236153151549212300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001416
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000067
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
312000089
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
26415.38%43686.05%1
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
56484907430
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
11218560.54%10917562.29%488060.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
149107146376434


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
1 - 2022-03-161Phantoms0Bruins3ALSommaire du match
2 - 2022-03-179Phantoms4Bruins1AWSommaire du match
3 - 2022-03-1817Bruins2Phantoms1BLSommaire du match
4 - 2022-03-1925Bruins1Phantoms3BWSommaire du match
5 - 2022-03-2033Phantoms4Bruins5ALSommaire du match
6 - 2022-03-2141Bruins4Phantoms2BLSommaire du match



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
-3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,929,665$ 2,847,165$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Phantoms Leaders statistiques (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
1Alexander Barabanov80283361-1142212817416.09%15152319.051214266320264135.34%10.8039
2Austin Czarnik661535502303813414510.34%14142321.575172239112122057.09%00.7039
3Quinton Byfield82242549-68812617315815.19%13152918.66411154800034158.24%00.6424
4Jack Studnicka82153146-2162713212412.10%8117314.3246102400013254.05%00.7800
5John Leonard641131423412737913.92%799115.4959143000004028.89%00.8500

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
1Joseph Woll62213070.8672.9033784316312220110.63238
2Dylan Ferguson2217400.8942.19128841474450201.0006
3Jiri Patera100210.8692.6631600141070000.0000

Phantoms Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202182313601266212231-1941201500231118106124111210103594125-318421237758914777355151653557535542621775478111615354976312.68%4836885.92%41234235152.49%1165232650.09%606118851.01%202814111968610990497
Total Saison régulière82313601266212231-1941201500231118106124111210103594125-318421237758914777355151653557535542621775478111615354976312.68%4836885.92%41234235152.49%1165232650.09%606118851.01%202814111968610990497
2021624000001416-23120000067-13120000089-141422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434
Total Séries éliminatoires624000001416-23120000067-13120000089-141422360074301535648490151549212326415.38%43686.05%111218560.54%10917562.29%488060.00%149107146376434

Phantoms Leaders statistiques (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
1Tucker Poolman62460868728.57%913422.3822470110000.00%00.8900
2Alexander Barabanov632530291520.00%011519.18011310121116.67%00.8700
3Austin Czarnik6224344121711.76%013722.84101400010065.13%00.5800
4Thomas Harley60331614340.00%513422.4501120111000.00%00.4500
5Quinton Byfield6213-31016141020.00%511619.50011300000064.35%00.5100

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
1Dylan Ferguson62400.8862.9133000161400000.0000
2Joseph Woll20001.0000.0028000110000.0000