Barracuda
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 26 | PP%: 33.33% | PK%: 56.25%
DG: Steve Bergevin | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Eagles
14-10-0, 28pts
3
FINAL
4 Barracuda
1-4-0, 2pts
Team Stats
L1StreakL1
8-4-0Home Record1-1-0
6-6-0Away Record0-3-0
5-4-1Last 10 Games1-3-1
3.13Buts par match 3.00
2.79Buts contre par match 5.20
18.03%Pourcentage en avantage numérique33.33%
83.56%Pourcentage en désavantage numérique56.25%
Barracuda
1-4-0, 2pts
2
FINAL
9 Eagles
14-10-0, 28pts
Team Stats
L1StreakL1
1-1-0Home Record8-4-0
0-3-0Away Record6-6-0
1-3-1Last 10 Games5-4-1
3.00Buts par match 3.13
5.20Buts contre par match 2.79
33.33%Pourcentage en avantage numérique18.03%
56.25%Pourcentage en désavantage numérique83.56%
Meneurs d'équipe
Marcus HogbergVictoires
Marcus Hogberg
1
Marcus HogbergPourcentage d’arrêts
Marcus Hogberg
0.895

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
193
38.60 Avg
Pourcentage en avantage numérique
33.3%
5 GF
Début de zone offensive
39.3%
Buts contre
26
5.20 GAA
Tirs contre
216
43.20 Avg
Pourcentage en désavantage numérique
56.3%
7 GA
Début de la zone défensive
42.6%
Information d’équipe

Directeur généralSteve Bergevin
EntraîneurDavis Payne
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1Micheal Haley
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,314
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 80
Espoirs54


Historique d'équipe

Saison actuelle1-4
Historique47-28-7 (0.573%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Kevin Stenlund0XX100.00593593648981856576666761656964075650251700,000$
2Mathias Brome (R)0X100.00633690687283776657646762697368075650273925,000$
3Noah Gregor0XX100.00823593667285816771626555676563075650232925,000$
4Markus Granlund0XX100.00573987697180796674636267637566075640282925,000$
5Joseph Blandisi0X100.00754285657167726478646361647371075640271800,000$
6Andrei Chibisov0X100.00543595639278816258616063627568075640282850,000$
7Justin Dowling0X100.00643592646677716378676159627972075640311850,000$
8Micheal Haley (A)0X100.00838753597580726158606255598575075630352925,000$
9Anton Wedin0XX100.00605471627176776356616059627568075620282925,000$
10Mikhail Vorobyev0X100.00523591637984766472636155626764075620243750,000$
11Justin Kloos0XX100.00564678596585905964615858597568075610283925,000$
12Cole Reinhardt0X100.00643789567478835755565854596162075600213750,000$
13Zach Nastasiuk0X100.00723592568177825452535557547166075600263925,000$
14Alec Regula (R)0X100.00583595638879776430605763526164075620213925,000$
15Kale Clague0X100.00563592647081756530685759516563075620233925,000$
16Dmitry Osipov0X100.00837459569274795830555663456965075610252850,000$
17Teemu Kivihalme0X100.00623681607177825930585661487166075610262925,000$
Rayé
1Anton Blidh0XX100.00863789657177746257616463657168075650261850,000$
2Spencer Smallman0X100.00684383577779845860565357546964075600251975,000$
3Felix Robert0X100.00614679586173785670585953596362075590223750,000$
4James Hamblin0X100.00563593566584895658565754576362075590223750,000$
5Matej Chalupa (R)0X100.00633593577273785856535754556563075590233925,000$
6Arsen Khisamutdinov (R)0X100.00753987548471695355525059566563075580233925,000$
7Christopher Clapperton0X100.00563689536470735258575554527367075580272800,000$
8Jeremy McKenna0X100.00564381566573785660585654566362075580223750,000$
9Theodor Lennstrom (R)0X100.00663888597566705730585556477367075600273925,000$
10Jesper Lindgren0X100.00583788546763685430585253456764075570242925,000$
MOYENNE D’ÉQUIPE100.0065418560747778605660595857706607561
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
1Marcus Hogberg100.0078828594777678777678777478075680272850,000$
2J-F Berube100.0070898773696870696870697884075640302900,000$
Rayé
1Kirill Ustimenko100.0065696781646365646365646367075600222925,000$
MOYENNE D’ÉQUIPE100.007180808370697170697170727607564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne70636466757075CAN501600,000$


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
1Kevin StenlundBarracuda (SJS)C/RW5178-700420328193.13%413426.861346110001150052.47%16200001.1900000010
2Kale ClagueBarracuda (SJS)D5167-7209564616.67%614028.02033211000014000.00%000001.0000000000
3Mathias BromeBarracuda (SJS)LW5325-7204143092410.00%213326.611016110000140049.15%5900000.7500000000
4Markus GranlundBarracuda (SJS)C/LW513420038203125.00%09719.4901139000000150.00%600000.8200000010
5Anton BlidhBarracuda (SJS)LW/RW3224-255105121616.67%35819.6011216000150057.14%700001.3600001100
6Teemu KivihalmeBarracuda (SJS)D50440003514150.00%911723.5702269000013000.00%000000.6800000000
7Alec RegulaBarracuda (SJS)D5213-7409761933.33%513426.8210121100009100.00%000000.4500000100
8Andrei ChibisovBarracuda (SJS)RW521320007165712.50%19719.4900009000000036.36%1100000.6200000001
9Justin KloosBarracuda (SJS)C/RW5022-400226350.00%06012.0600000000000025.00%400000.6600000000
10Noah GregorBarracuda (SJS)C/LW5112280171812538.33%210420.9010129000050052.17%13800000.3800000000
11Anton WedinBarracuda (SJS)LW/RW5101-4008382812.50%06012.1000000000000066.67%300000.3300000000
12Dmitry OsipovBarracuda (SJS)D50110801935220.00%211422.9400019000010000.00%000000.1700000000
13Justin DowlingBarracuda (SJS)C5101-42041171414.29%06112.3800000000000054.32%8100000.3200000000
14Joseph BlandisiBarracuda (SJS)C5000-220286240.00%57915.9300000000000056.25%1600000.0000000000
15Cole ReinhardtBarracuda (SJS)LW5000000021010.00%0234.63000000000000100.00%100000.0000000000
16Zach NastasiukBarracuda (SJS)RW5000000121010.00%0234.630000000000000.00%100000.0000000000
17Micheal HaleyBarracuda (SJS)C5000-2601742220.00%67715.4800010000030075.00%400000.0000000000
18Mikhail VorobyevBarracuda (SJS)C5000020027130.00%0255.1000000000000035.00%2000000.0000000000
Statistiques d’équipe totales ou en moyenne88153045-40415112126191501217.85%45154317.545101530990002931151.46%51300000.5800001221
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
1Marcus HogbergBarracuda (SJS)51310.8954.2431100222090000.000050000
2J-F BerubeBarracuda (SJS)10000.42920.001200470000.000005000
Statistiques d’équipe totales ou en moyenne61310.8804.8232400262160000.000055000


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
Salaire moyen
Salaire moyen 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
Alec RegulaBarracuda (SJS)D218/6/2000Yes208 Lbs6 ft4NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Andrei ChibisovBarracuda (SJS)RW282/26/1993No227 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Anton BlidhBarracuda (SJS)LW/RW263/14/1995No185 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Anton WedinBarracuda (SJS)LW/RW283/1/1993No195 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Arsen KhisamutdinovBarracuda (SJS)RW233/26/1998Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Christopher ClappertonBarracuda (SJS)LW272/22/1994No174 Lbs5 ft9NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Cole ReinhardtBarracuda (SJS)LW212/1/2000No200 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Dmitry OsipovBarracuda (SJS)D2510/4/1996No230 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Felix RobertBarracuda (SJS)C227/24/1999No165 Lbs5 ft8NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
J-F BerubeBarracuda (SJS)G307/13/1991No177 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
James HamblinBarracuda (SJS)LW224/27/1999No176 Lbs5 ft9NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Jeremy McKennaBarracuda (SJS)RW224/20/1999No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Jesper LindgrenBarracuda (SJS)D245/19/1997No165 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Joseph BlandisiBarracuda (SJS)C277/18/1994No184 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Justin DowlingBarracuda (SJS)C3110/1/1990No180 Lbs5 ft10NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Justin KloosBarracuda (SJS)C/RW2811/30/1993No175 Lbs5 ft10NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Kale ClagueBarracuda (SJS)D236/5/1998No177 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Kevin StenlundBarracuda (SJS)C/RW259/20/1996No215 Lbs6 ft4NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Kirill UstimenkoBarracuda (SJS)G221/29/1999No187 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Marcus HogbergBarracuda (SJS)G2711/25/1994No222 Lbs6 ft5NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Markus GranlundBarracuda (SJS)C/LW284/16/1993No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Matej ChalupaBarracuda (SJS)C237/26/1998Yes172 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mathias BromeBarracuda (SJS)LW277/29/1994Yes183 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Micheal HaleyBarracuda (SJS)C353/30/1986No213 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Mikhail VorobyevBarracuda (SJS)C241/5/1997No194 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Noah GregorBarracuda (SJS)C/LW237/28/1998No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Spencer SmallmanBarracuda (SJS)RW259/9/1996No198 Lbs6 ft1NoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Teemu KivihalmeBarracuda (SJS)D266/14/1995No181 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Theodor LennstromBarracuda (SJS)D278/8/1994Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Zach NastasiukBarracuda (SJS)RW263/30/1995No202 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.53191 Lbs6 ft12.27868,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathias BromeKevin Stenlund40122
2Markus GranlundNoah GregorAndrei Chibisov30122
3Anton WedinJustin DowlingJustin Kloos20122
4Cole ReinhardtJoseph BlandisiZach Nastasiuk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueAlec Regula40122
2Dmitry OsipovTeemu Kivihalme30122
3Joseph BlandisiMicheal Haley20122
4Kale ClagueAlec Regula10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathias BromeKevin Stenlund60122
2Markus GranlundNoah GregorAndrei Chibisov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueAlec Regula60122
2Dmitry OsipovTeemu Kivihalme40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mathias BromeKevin Stenlund60122
2Noah Gregor40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueAlec Regula60122
2Dmitry OsipovTeemu Kivihalme40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mathias Brome60122Kale ClagueAlec Regula60122
2Kevin Stenlund40122Dmitry OsipovTeemu Kivihalme40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathias BromeKevin Stenlund60122
2Noah Gregor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueAlec Regula60122
2Dmitry OsipovTeemu Kivihalme40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathias BromeKevin StenlundKale ClagueAlec Regula
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathias BromeKevin StenlundKale ClagueAlec Regula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Vorobyev, Justin Dowling, Micheal HaleyMikhail Vorobyev, Justin DowlingMicheal Haley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Osipov, Teemu Kivihalme, Kale ClagueDmitry OsipovTeemu Kivihalme, Kale Clague
Tirs de pénalité
Mathias Brome, Kevin Stenlund, , Noah Gregor, Andrei Chibisov
Gardien
#1 : Marcus Hogberg, #2 : J-F Berube
Lignes d’attaque personnalisées en prolongation
Mathias Brome, Kevin Stenlund, , Noah Gregor, Andrei Chibisov, Markus Granlund, Markus Granlund, Justin Dowling, Joseph Blandisi, Micheal Haley, Anton Wedin
Lignes de défense personnalisées en prolongation
Kale Clague, Alec Regula, Dmitry Osipov, Teemu Kivihalme,


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
1Eagles514000001526-112110000057-2303000001019-920.20015304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235
Total514000001526-112110000057-2303000001019-920.20015304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235
_Since Last GM Reset514000001526-112110000057-2303000001019-920.20015304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235
_Vs Conference514000001526-112110000057-2303000001019-920.20015304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1153045193216454111300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001526
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000057
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30300001019
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15533.33%16756.25%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
705944207521
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
9920648.06%12022353.81%469548.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12282130417235


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
2 - 2022-04-138Barracuda4Eagles5ALXSommaire du match
4 - 2022-04-1516Barracuda4Eagles5ALSommaire du match
6 - 2022-04-1724Eagles4Barracuda1BLSommaire du match
8 - 2022-04-1932Eagles3Barracuda4BWXSommaire du match
10 - 2022-04-2140Barracuda2Eagles9ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance3,2501,377
Assistance PCT81.25%68.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2314 - 77.12% 92,609$185,218$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,605,000$ 2,250,000$ 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$




Barracuda 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
1Anton Blidh8143529515030219337511.47%30170221.021118297800045249.72%31.1247
2Mathias Brome55364177265517034310.50%38135324.6086145710183448.70%11.1415
3Andrei Chibisov783443772965914531910.66%32144818.57711185500005055.77%01.0614
4Kevin Stenlund51304070-163315121014.29%17116622.8787153111272257.14%21.2015
5Markus Granlund60264470128541322709.63%11109418.24616224400022150.80%11.2802

Barracuda 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
1Marcus Hogberg78452470.9083.38445312225127380620.71031
2J-F Berube41100.9531.67144004850010.7504
3Cory Schneider51100.9303.2524000131860000.0000

Barracuda Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
23824128033343412905141221302112179141384119150122216214913101341612953321351069413313410321027104466312987656420302386627.73%2355277.87%31506313847.99%1539323847.53%709141250.21%1873130120605961032505
Total Saison régulière824128033343412905141221302112179141384119150122216214913101341612953321351069413313410321027104466312987656420302386627.73%2355277.87%31506313847.99%1539323847.53%709141250.21%1873130120605961032505
23514000001526-112110000057-2303000001019-9215304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235
Total Séries éliminatoires514000001526-112110000057-2303000001019-9215304500752119370594420216454111315533.33%16756.25%09920648.06%12022353.81%469548.42%12282130417235

Barracuda 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
1Kevin Stenlund5178-70420323.13%413426.86134600010052.47%01.1900
2Kale Clague5167-7295616.67%614028.0203320000000.00%01.0000
3Mathias Brome5325-724143010.00%213326.61101600000049.15%00.7500
4Teemu Kivihalme50440035140.00%911723.5702260000000.00%00.6800
5Anton Blidh3224-251051216.67%35819.60112100010057.14%01.3600

Barracuda 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
1Marcus Hogberg51310.8954.2431100222090000.0000
2J-F Berube10000.42920.001200470000.0000