Connexion

Punishers
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 21 | PP%: 9.52% | PK%: 66.67%
DG: Jean-Sebastien Larin | Morale : 5 | Moyenne d’équipe : 62
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Centre de jeu
Eagles
12-7-0, 24pts
4
FINAL
2 Punishers
1-4-0, 2pts
Team Stats
L2StreakL4
5-5-0Home Record0-2-0
7-2-0Away Record1-2-0
4-5-1Last 10 Games1-4-0
4.37Buts par match 2.40
3.37Buts contre par match 4.20
24.29%Pourcentage en avantage numérique9.52%
87.14%Pourcentage en désavantage numérique66.67%
Punishers
1-4-0, 2pts
2
FINAL
5 Eagles
12-7-0, 24pts
Team Stats
L4StreakL2
0-2-0Home Record5-5-0
1-2-0Away Record7-2-0
1-4-0Last 10 Games4-5-1
2.40Buts par match 4.37
4.20Buts contre par match 3.37
9.52%Pourcentage en avantage numérique24.29%
66.67%Pourcentage en désavantage numérique87.14%
Meneurs d'équipe
Buts
Corey Tropp
4
Passes
Radek Faksa
6
Points
Radek Faksa
8
Plus/Moins
Phillip Danault
3
Victoires
Louis Domingue
1
Pourcentage d’arrêts
Louis Domingue
0.876

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
182
36.40 Avg
Pourcentage en avantage numérique
9.5%
2 GF
Début de zone offensive
44.8%
Buts contre
21
4.20 GAA
Tirs contre
169
33.80 Avg
Pourcentage en désavantage numérique
66.7%
4 GA
Début de la zone défensive
33.0%
Informations de l'équipe

Directeur généralJean-Sebastien Larin
EntraîneurClaude Noël
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineJake Evans
Assistant #1Brett Seney
Assistant #2Tanner Kero


Informations de l’aréna

Capacité3,000
Assistance2,329
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 250
Espoirs0


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
SP
Âge
Contrat
Salaire
1Corey TroppX100.007029747580747073716979686758522845710271800,000$
2Radek Faksa (R)X100.006945797572707372756877586753464761690221750,000$
3Carter Ashton (R)X100.006943717169657070657469676751473261670251700,000$
4John Quenneville (R)X100.006528747065676664788073506343436261660203650,000$
5Phillip Danault (R)X100.006531747070737570695970637148474353660231600,000$
6Austen Brassard (R)X100.006839686566617268686470576346454064640231400,000$
7Oskar Lindblom (R)X100.006944776658676669716269516742426043630202500,000$
8Anton Blidh (R)X100.007433687266597266576564504944444961620212400,000$
9Daniel Audette (R)X100.006842795867575867577056616643435424610201400,000$
10Michael Joly (R)X100.006120766459706454677164526144444850600211400,000$
11John Hayden (R)X100.005942796162696361676359485643434835590211400,000$
12Alex Schoenborn (R)X100.006445605768576857546266434642425158570201300,000$
13Alexander Nylander (R)X100.005136735565515865526554425140407361550182500,000$
14Gabriel Gagne (R)X100.005028665360475162555263405944435758540201500,000$
15Nicolas Roy (R)X100.004740665959535561595853435441415958540191500,000$
16Beck Malenstyn (R)X100.005226574959465551625071304740406661510182500,000$
17Austin Wagner (R)X100.006638544759485848495250344741416741490191500,000$
18Brett Kulak (R)X100.007533757469746864596664786353464538690221700,000$
19Ben Betker (R)X100.006029767172716558426457785350464523660222500,000$
20Artem Zub (R)X100.006353807271647373416757645948485155660212500,000$
21Noah Juulsen (R)X100.006639806865697065515960714943426849650191500,000$
22Niko Mikkola (R)X100.006641776357646054436544615544455621600201500,000$
Rayé
1Zack HamillX100.007028797774817072768372576970652544720281995,000$
2Fredrik Claesson (R)X100.006333716762696264466653765556563836650241400,000$
3Connor Clifton (R)X100.006135765958706550665954694844445041600211300,000$
MOYENNE D’ÉQUIPE100.00643672656564656360656356584745504862
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
Âge
Contrat
Salaire
1Louis Domingue100.00767471747073708269737455503960710241800,000$
2Daniel Altshuller100.00686574625977676665776647464661660222600,000$
Rayé
1Connor Ingram (R)100.00525239404646484843393840405819450191500,000$
MOYENNE D’ÉQUIPE100.0065646159586562655963594745484761
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Noël69656570415149Can562300,000$


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’équipe
POS
GP
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
1Radek FaksaPunishers (Bos)C526822058355185.71%311523.08112719000290055.15%16531001.3900000010
2Corey TroppPunishers (Bos)RW54372601482041920.00%711422.83011120000070039.13%2332001.2300000110
3Phillip DanaultPunishers (Bos)LW531430038144521.43%410721.42101219000131080.00%512000.7500000100
4Brett KulakPunishers (Bos)D5033-300101713340.00%1113927.96011221000010000.00%045000.4300000000
5Austen BrassardPunishers (Bos)RW5112-5004012168.33%55811.650000000000000.00%021000.6900000001
6Daniel AudettePunishers (Bos)C5022-500822230.00%15711.4900000000030035.71%2812000.7000000000
7Artem ZubPunishers (Bos)D5022-3003914270.00%813927.89011221000010000.00%014000.2900000000
8Anton BlidhPunishers (Bos)LW5101-5204452620.00%16112.350000000003000.00%050000.3200000000
9Michael JolyPunishers (Bos)RW5101-4405580112.50%37314.640000000000000.00%123000.2700000000
10Niko MikkolaPunishers (Bos)D5011-220412300.00%15811.710000000000000.00%002000.3400000000
11Alex SchoenbornPunishers (Bos)RW5000000110010.00%0183.6000000000000075.00%410000.0000000000
12Austin WagnerPunishers (Bos)LW5000000000000.00%010.210000000000000.00%000000.0000000000
13Ben BetkerPunishers (Bos)D5000-220048010.00%510420.8200021400007000.00%001000.0000000000
14Carter AshtonPunishers (Bos)RW5000-22054117120.00%28817.62000415000020066.67%631000.0000000000
15Gabriel GagnePunishers (Bos)RW5000000000000.00%061.2600000000050014.29%700000.0000000000
16John HaydenPunishers (Bos)C5000-200239030.00%1316.3700000000000040.00%1001000.0000000000
17John QuennevillePunishers (Bos)C5000-20059108100.00%18517.06000115000000062.90%6211000.0000000000
18Noah JuulsenPunishers (Bos)D5000-220594440.00%310220.5100001400006000.00%015000.0000000000
19Oskar LindblomPunishers (Bos)LW5000-2208313060.00%38517.06000115000000066.67%302000.0000000000
20Alexander NylanderPunishers (Bos)RW5000000000000.00%020.430000000000000.00%000000.0000000000
21Beck MalenstynPunishers (Bos)LW5000-200202100.00%0306.16000000000000100.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne105121931-342408895182461066.59%59148014.10246221810003701053.33%3152833000.4200000221
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Louis DominguePunishers (Bos)51400.8764.20300002116991000.000050010
Statistiques d’équipe totales ou en moyenne51400.8764.20300002116991000.000050010


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Alex SchoenbornPunishers (Bos)RW201996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Alexander NylanderPunishers (Bos)RW181998-01-01Yes192 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anton BlidhPunishers (Bos)LW211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm400,000$0$0$No400,000$
Artem ZubPunishers (Bos)D211995-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Austen BrassardPunishers (Bos)RW231993-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Austin WagnerPunishers (Bos)LW191997-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Beck MalenstynPunishers (Bos)LW181998-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ben BetkerPunishers (Bos)D221994-01-01Yes185 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No600,000$
Brett KulakPunishers (Bos)D221994-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Carter AshtonPunishers (Bos)RW251991-01-01Yes215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Connor CliftonPunishers (Bos)D211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$No
Connor IngramPunishers (Bos)G191997-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Corey TroppPunishers (Bos)RW271989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Daniel AltshullerPunishers (Bos)G221994-01-01No191 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No700,000$
Daniel AudettePunishers (Bos)C201996-01-01Yes176 Lbs5 ft9NoNoNo1Pro & Farm400,000$0$0$No
Fredrik ClaessonPunishers (Bos)D241992-01-01Yes205 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Gabriel GagnePunishers (Bos)RW201996-01-01Yes187 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
John HaydenPunishers (Bos)C211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm400,000$0$0$No
John QuennevillePunishers (Bos)C201996-01-01Yes195 Lbs5 ft11NoNoNo3Pro & Farm650,000$0$0$No750,000$750,000$
Louis DominguePunishers (Bos)G241992-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Michael JolyPunishers (Bos)RW211995-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm400,000$0$0$No
Nicolas RoyPunishers (Bos)C191997-01-01Yes200 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Niko MikkolaPunishers (Bos)D201996-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Noah JuulsenPunishers (Bos)D191997-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Oskar LindblomPunishers (Bos)LW201996-01-01Yes191 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Phillip DanaultPunishers (Bos)LW231993-01-01Yes201 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Radek FaksaPunishers (Bos)C221994-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Zack HamillPunishers (Bos)C281988-01-01No190 Lbs5 ft11NoNoNo1Pro & Farm995,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2821.39193 Lbs6 ft11.32539,107$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip DanaultRadek FaksaCorey Tropp40023
2Oskar LindblomJohn QuennevilleCarter Ashton30023
3Anton BlidhDaniel AudetteAusten Brassard20023
4Beck MalenstynJohn HaydenMichael Joly10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakArtem Zub40122
2Ben BetkerNoah Juulsen30122
3Niko MikkolaMichael Joly20122
4Brett KulakArtem Zub10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip DanaultRadek FaksaCorey Tropp60122
2Oskar LindblomJohn QuennevilleCarter Ashton40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakArtem Zub60122
2Ben BetkerNoah Juulsen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Corey TroppRadek Faksa60122
2Carter AshtonPhillip Danault40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakArtem Zub60122
2Ben BetkerNoah Juulsen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Corey Tropp60122Brett KulakArtem Zub60122
2Radek Faksa40122Ben BetkerNoah Juulsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Corey TroppRadek Faksa60122
2Carter AshtonPhillip Danault40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakArtem Zub60122
2Ben BetkerNoah Juulsen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultRadek FaksaCorey TroppBrett KulakArtem Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultRadek FaksaCorey TroppBrett KulakArtem Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Schoenborn, Alexander Nylander, Gabriel GagneAlex Schoenborn, Alexander NylanderGabriel Gagne
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niko Mikkola, Ben Betker, Noah JuulsenNiko MikkolaBen Betker, Noah Juulsen
Tirs de pénalité
Corey Tropp, Radek Faksa, Carter Ashton, Phillip Danault, John Quenneville
Gardien
#1 : Louis Domingue, #2 : Daniel Altshuller


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
Total
Domicile
Visiteur
#
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
1Eagles514000001221-920200000510-531200000711-420.20012193100354018259576601695924882129.52%12466.67%07114150.35%5810455.77%397055.71%10762106448642
Total514000001221-920200000510-531200000711-420.20012193100354018259576601695924882129.52%12466.67%07114150.35%5810455.77%397055.71%10762106448642
_Since Last GM Reset514000001221-920200000510-531200000711-420.20012193100354018259576601695924882129.52%12466.67%07114150.35%5810455.77%397055.71%10762106448642
_Vs Conference514000001221-920200000510-531200000711-420.20012193100354018259576601695924882129.52%12466.67%07114150.35%5810455.77%397055.71%10762106448642

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L412193118216959248800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001221
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000510
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000711
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2129.52%12466.67%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
59576603540
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
7114150.35%5810455.77%397055.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10762106448642


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
1 - 2021-11-306Punishers3Eagles1AWSommaire du match
2 - 2021-12-0114Punishers2Eagles5ALSommaire du match
3 - 2021-12-0222Eagles6Punishers3BLSommaire du match
4 - 2021-12-0330Eagles4Punishers2BLSommaire du match
5 - 2021-12-0438Punishers2Eagles5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance3,2541,404
Assistance PCT81.35%70.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2329 - 77.63% 83,076$166,152$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,509,500$ 1,090,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Punishers 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

Punishers 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

Punishers 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

Punishers 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

Punishers 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