Connexion

Barracuda
GP: 2 | W: 1 | L: 0 | OTL: 1 | P: 3
GF: 5 | GA: 4 | PP%: 57.14% | PK%: 50.00%
DG: BRRR | Morale : 39 | Moyenne d’équipe : 59
Prochain matchs #24 vs Wolves
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Centre de jeu
Barracuda
1-0-1, 3pts
2
FINAL
0 Admirals
1-1-0, 2pts
Team Stats
OTL1StreakW1
0-0-1Home Record0-1-0
1-0-0Away Record1-0-0
1-0-1Last 10 Games1-1-0
2.50Goals Per Game2.00
2.00Goals Against Per Game2.50
57.14%Power Play Percentage50.00%
50.00%Penalty Kill Percentage42.86%
Admirals
1-1-0, 2pts
4
FINAL
3 Barracuda
1-0-1, 3pts
Team Stats
W1StreakOTL1
0-1-0Home Record0-0-1
1-0-0Away Record1-0-0
1-1-0Last 10 Games1-0-1
2.00Goals Per Game2.50
2.50Goals Against Per Game2.00
50.00%Power Play Percentage57.14%
42.86%Penalty Kill Percentage50.00%
Wolves
0-0-0, 0pts
2022-09-16
Barracuda
1-0-1, 3pts
Statistiques d’équipe
N/ASéquenceOTL1
0-0-0Fiche domicile0-0-1
0-0-0Fiche visiteur1-0-0
0-0-010 derniers matchs1-0-1
0.00Buts par match 2.50
0.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique57.14%
0.00%Pourcentage en désavantage numérique50.00%
IceHogs
0-0-0, 0pts
2022-09-17
Barracuda
1-0-1, 3pts
Statistiques d’équipe
N/ASéquenceOTL1
0-0-0Fiche domicile0-0-1
0-0-0Fiche visiteur1-0-0
0-0-010 derniers matchs1-0-1
0.00Buts par match 2.50
0.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique57.14%
0.00%Pourcentage en désavantage numérique50.00%
Barracuda
1-0-1, 3pts
2022-09-20
Islanders
0-0-0, 0pts
Statistiques d’équipe
OTL1SéquenceN/A
0-0-1Fiche domicile0-0-0
1-0-0Fiche visiteur0-0-0
1-0-110 derniers matchs0-0-0
2.50Buts par match 0.00
2.00Buts contre par match 0.00
57.14%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe
Victoires
Jaroslav Halak
1
Pourcentage d’arrêts
Jaroslav Halak
0.934

Statistiques d’équipe
Buts pour
5
2.50 GFG
Tirs pour
62
31.00 Avg
Pourcentage en avantage numérique
57.1%
4 GF
Début de zone offensive
43.5%
Buts contre
4
2.00 GAA
Tirs contre
61
30.50 Avg
Pourcentage en désavantage numérique
50.0%
2 GA
Début de la zone défensive
34.3%
Information d’équipe

Directeur généralBRRR
EntraîneurRon Wilson
DivisionPacific Division
ConférenceWestern Conference
CapitaineJoe Thornton
Assistant #1Carl Hagelin
Assistant #2Rafael Harvey-Pinard


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 90
Espoirs37


Historique d'équipe

Saison actuelle1-0-1 (3PTS)
Historique101-50-24 (0.577%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)18-12
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 SPÂgeContratSalaire moyen
1Carl Hagelin (A)0X100.005841876780836959516759696092910406403431,200,000$
2Joe Thornton (C)0X100.005750825890775356676564646299990406204311,000,000$
3Nathan Smith (R)0X100.00953992727883474961666662635063040610232925,000$
4Rafael Harvey-Pinard (R) (A)0X100.00984176637860566246676359625567040600231925,000$
5Scott Reedy (R)0XX100.00544680588665616160626761645262040590231850,000$
6Jasper Weatherby (R)0X100.00715680559170675876646163615161040590241925,000$
7Dakota Joshua0X100.00955280588662545960656161615667040590261925,000$
8Michael Pezzetta0X100.00986475578768575559646261625265040590241925,000$
9Hudson Fasching0X100.00794677568660506067656061605566040580271750,000$
10Joel L'Esperance0X100.00504975548860406260666562635866040580271925,000$
11Josiah Slavin (R)0X100.00624777598360515855636263615262040580231750,000$
12Jacob Middleton0X100.00867087588982747020656379625266040670262750,000$
13Mattias Samuelsson0X100.00935289569273646820695774595164040650222925,000$
14Joel Hanley0X100.00784388608071526720646272615665040630314750,000$
15Kale Clague0X100.00544382638176566220696168615363040610241850,000$
16Ben Gleason0X100.00505075597960487320686268615363040590241850,000$
17Santeri Hatakka (R)0X100.00574378568260446720645968605161040580213850,000$
18Brayden Pachal0X100.00705675518560536420615764595363040580231925,000$
Rayé
1Paul Cotter0XX100.00935275568560525946626461625467038580221800,000$
2John Leonard0X100.00684478588260495952636360625161038570241925,000$
3Tanner Kero0X100.00564179608063485764645762596270038570301925,000$
4Hugh McGing0X100.00503975597760455840646062605564038560241800,000$
5Bryce Kindopp (R)0X100.00504675578160535746635955605363038550231875,000$
6Mathias Laferriere (R)0XXX100.00504175548160375140605662585161038530222850,000$
7Philippe Daoust (R)0X100.00503775597760105560645562585060038530213850,000$
8Matthew Robertson (R)0X100.00504575518660436520625768595161038570213850,000$
9Declan Carlile (R)0X100.00504375548360106720636068605161038550222925,000$
MOYENNE D’ÉQUIPE100.0067477958836650614464616461566603959
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
1Jaroslav Halak100.0067696681737171737269719178040710
2Matt Villalta100.0066737087707067717068696867040690
Rayé
1Beck Warm (R)100.0042535083464645474643456867038510
MOYENNE D’ÉQUIPE100.005865628463626164636062767103964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Wilson75757575757575CAN668500,000$


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
1Joe ThorntonBarracuda (SJS)C2033140244850.00%44924.5802203000010040.00%521001.2200000000
2Carl HagelinBarracuda (SJS)LW221312019121216.67%04824.3120233000000048.48%3320001.2300000000
3Nathan SmithBarracuda (SJS)C21231003770014.29%14221.3702203000000050.00%601001.4000000010
4Scott ReedyBarracuda (SJS)C/RW2022-200269260.00%24020.2102213000010050.00%222000.9900000000
5Rafael Harvey-PinardBarracuda (SJS)LW2022-100674370.00%34221.0702203000020057.89%3800000.9500000001
6Jacob MiddletonBarracuda (SJS)D2202-2003242250.00%35427.212022300002100.00%000000.7400000010
7Ben GleasonBarracuda (SJS)D2000000071100.00%23015.150000000001000.00%000000.0000000000
8Santeri HatakkaBarracuda (SJS)D2000000140000.00%12713.930000000000000.00%001000.0000000000
9Jasper WeatherbyBarracuda (SJS)C2000000121110.00%12713.7800000000000073.33%1510000.0000000000
10Mattias SamuelssonBarracuda (SJS)D2000100251010.00%24020.280000200001000.00%002000.0000000000
11Hudson FaschingBarracuda (SJS)RW2000000100000.00%073.580000000000000.00%000000.0000000000
12Dakota JoshuaBarracuda (SJS)C2000-200229340.00%24120.980000000000000.00%010000.0000000000
13Joel L'EsperanceBarracuda (SJS)C2000000100000.00%010.810000000000000.00%000000.0000000000
14Kale ClagueBarracuda (SJS)D2000120151200.00%23919.820000200002000.00%012000.0000000000
15Josiah SlavinBarracuda (SJS)LW2000000372110.00%02512.7800000000020085.71%700000.0000000000
16Joel HanleyBarracuda (SJS)D2000-100344110.00%25125.840000300000000.00%002000.0000000000
17Michael PezzettaBarracuda (SJS)LW2000000623130.00%13216.2200003000000066.67%310000.0000000000
Statistiques d’équipe totales ou en moyenne3451015-38038736226338.06%2660317.7648126340000181057.80%1091011000.5000000021
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
1Jaroslav HalakBarracuda (SJS)21010.9341.971220146137000.000020100
Statistiques d’équipe totales ou en moyenne21010.9341.971220146137000.000020100


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
Beck WarmBarracuda (SJS)G237/1/1999Yes172 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Ben GleasonBarracuda (SJS)D243/25/1998No180 Lbs6 ft1NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Brayden PachalBarracuda (SJS)D238/23/1999No204 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Bryce KindoppBarracuda (SJS)RW236/14/1999Yes185 Lbs6 ft1NoNoNo1Pro & Farm875,000$865,741$875,000$865,741$0$0$NoLien
Carl Hagelin (contrat à 1 volet)Barracuda (SJS)LW348/23/1988No183 Lbs6 ft0NoNoNo3Pro & Farm1,200,000$1,187,302$1,200,000$1,187,302$75,000$74,206$No1,200,000$1,200,000$Lien
Dakota JoshuaBarracuda (SJS)C265/15/1996No206 Lbs6 ft3NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Declan CarlileBarracuda (SJS)D225/18/2000Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Hudson FaschingBarracuda (SJS)RW277/28/1995No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Hugh McGingBarracuda (SJS)LW247/11/1998No175 Lbs5 ft10NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Jacob MiddletonBarracuda (SJS)D261/2/1996No219 Lbs6 ft3NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Jaroslav Halak (contrat à 1 volet)Barracuda (SJS)G375/13/1985No185 Lbs5 ft10YesNoNo2Pro & Farm1,500,000$1,484,127$1,500,000$1,484,127$375,000$371,032$No1,500,000$Lien
Jasper WeatherbyBarracuda (SJS)C241/22/1998Yes222 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Joe ThorntonBarracuda (SJS)C437/2/1979No220 Lbs6 ft4YesNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Joel Hanley (contrat à 1 volet)Barracuda (SJS)D316/8/1991No190 Lbs5 ft11NoNoNo4Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$750,000$Lien
Joel L'EsperanceBarracuda (SJS)C278/18/1995No215 Lbs6 ft2NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
John LeonardBarracuda (SJS)LW248/7/1998No196 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Josiah SlavinBarracuda (SJS)LW2312/31/1998Yes189 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Kale ClagueBarracuda (SJS)D246/5/1998No190 Lbs6 ft0NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Mathias LaferriereBarracuda (SJS)C/LW/RW226/27/2000Yes185 Lbs6 ft1NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Matt VillaltaBarracuda (SJS)G237/1/1999No187 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Matthew RobertsonBarracuda (SJS)D219/1/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Mattias SamuelssonBarracuda (SJS)D223/14/2000No227 Lbs6 ft4NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Michael PezzettaBarracuda (SJS)LW243/13/1998No216 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Nathan SmithBarracuda (SJS)C2310/19/1998Yes177 Lbs6 ft0NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Paul CotterBarracuda (SJS)C/RW2211/16/1999No206 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Philippe DaoustBarracuda (SJS)C215/11/2001Yes169 Lbs6 ft0NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Rafael Harvey-PinardBarracuda (SJS)LW231/6/1999Yes182 Lbs5 ft9NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Santeri HatakkaBarracuda (SJS)D211/15/2001Yes191 Lbs6 ft1NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Scott ReedyBarracuda (SJS)C/RW234/4/1999Yes205 Lbs6 ft2NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Tanner KeroBarracuda (SJS)C307/24/1992No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.33195 Lbs6 ft11.57905,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe ThorntonCarl HagelinNathan Smith40122
2Dakota JoshuaRafael Harvey-PinardScott Reedy30122
3Dakota JoshuaJasper WeatherbyMichael Pezzetta20122
4Carl HagelinJosiah SlavinJoe Thornton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJacob Middleton40122
2Kale ClagueMattias Samuelsson30122
3Santeri HatakkaBen Gleason20122
4Joel HanleyJacob Middleton10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe ThorntonCarl HagelinNathan Smith60122
2Michael PezzettaRafael Harvey-PinardScott Reedy40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJacob Middleton60122
2Kale ClagueMattias Samuelsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rafael Harvey-PinardJoe Thornton60122
2Nathan SmithCarl Hagelin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale ClagueJacob Middleton60122
2Ben GleasonMattias Samuelsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Carl Hagelin60122Joel HanleyJacob Middleton60122
2Nathan Smith40122Kale ClagueMattias Samuelsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Carl HagelinNathan Smith60122
2Rafael Harvey-PinardJoe Thornton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben GleasonJacob Middleton60122
2Santeri HatakkaMattias Samuelsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe ThorntonCarl HagelinNathan SmithMattias SamuelssonJacob Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe ThorntonCarl HagelinNathan SmithMattias SamuelssonJacob Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rafael Harvey-Pinard, Carl Hagelin, Michael PezzettaRafael Harvey-Pinard, Joe ThorntonJoe Thornton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Middleton, Mattias Samuelsson, Joel HanleyJacob MiddletonMattias Samuelsson, Jacob Middleton
Tirs de pénalité
Rafael Harvey-Pinard, Michael Pezzetta, Joe Thornton, Jasper Weatherby, Dakota Joshua
Gardien
#1 : Jaroslav Halak, #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Michael Pezzetta, Jasper Weatherby, Scott Reedy, Dakota Joshua, Joel L'Esperance, Josiah Slavin, Josiah Slavin, Carl Hagelin, Joe Thornton, Nathan Smith, Rafael Harvey-Pinard
Lignes de défense personnalisées en prolongation
Joel Hanley, Jacob Middleton, Ben Gleason, Mattias Samuelsson, Santeri Hatakka


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
1Admirals210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
Total210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
_Since Last GM Reset210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
_Vs Conference210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
23OTL15101562612683801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
210010054
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100010034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000020
Derniers 10 matchs
WLOTWOTL SOWSOL
100100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7457.14%4250.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
9252801310
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
344772.34%193751.35%102441.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
401939194222


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 - 2022-09-091Barracuda2Admirals0WSommaire du match
2 - 2022-09-102Admirals4Barracuda3LXSommaire du match
8 - 2022-09-1624Wolves-Barracuda-
9 - 2022-09-1738IceHogs-Barracuda-
12 - 2022-09-2051Barracuda-Islanders-
14 - 2022-09-2264Barracuda-Wolf Pack-
16 - 2022-09-2475Barracuda-Comets-
17 - 2022-09-2591Barracuda-Phantoms-
19 - 2022-09-27107Silver Knights-Barracuda-
21 - 2022-09-29119Marlies-Barracuda-
23 - 2022-10-01128Crunch-Barracuda-
26 - 2022-10-04158Gulls-Barracuda-
28 - 2022-10-06173Checkers-Barracuda-
30 - 2022-10-08188Gulls-Barracuda-
35 - 2022-10-13218Barracuda-Thunderbirds-
36 - 2022-10-14223Barracuda-Stars-
38 - 2022-10-16239Barracuda-Wild-
40 - 2022-10-18256Barracuda-Silver Knights-
42 - 2022-10-20272Griffins-Barracuda-
44 - 2022-10-22288Wolf Pack-Barracuda-
46 - 2022-10-24299Senators-Barracuda-
48 - 2022-10-26316Barracuda-Firebirds-
50 - 2022-10-28331Reign-Barracuda-
52 - 2022-10-30344Canucks-Barracuda-
54 - 2022-11-01354Barracuda-Rocket-
55 - 2022-11-02363Barracuda-Marlies-
58 - 2022-11-05383Barracuda-Senators-
59 - 2022-11-06395Barracuda-Americans-
62 - 2022-11-09418Canucks-Barracuda-
64 - 2022-11-11433Barracuda-Gulls-
68 - 2022-11-15465Roadrunners-Barracuda-
72 - 2022-11-19496Barracuda-Reign-
73 - 2022-11-20501Heat-Barracuda-
75 - 2022-11-22517Heat-Barracuda-
77 - 2022-11-24532Wild-Barracuda-
82 - 2022-11-29556Barracuda-Canucks-
84 - 2022-12-01573Phantoms-Barracuda-
86 - 2022-12-03586Barracuda-Stars-
87 - 2022-12-04592Barracuda-IceHogs-
92 - 2022-12-09627Barracuda-Gulls-
93 - 2022-12-10636Bruins-Barracuda-
96 - 2022-12-13657Barracuda-Roadrunners-
97 - 2022-12-14661Barracuda-Reign-
99 - 2022-12-16676Condors-Barracuda-
102 - 2022-12-19697Comets-Barracuda-
104 - 2022-12-21716Stars-Barracuda-
107 - 2022-12-24736Barracuda-Monsters-
108 - 2022-12-25748Barracuda-Bruins-
110 - 2022-12-27760Barracuda-Griffins-
113 - 2022-12-30783Barracuda-Wolves-
114 - 2022-12-31793Barracuda-Penguins-
124 - 2023-01-10814Barracuda-Crunch-
126 - 2023-01-12823Barracuda-Checkers-
129 - 2023-01-15847Barracuda-Bears-
131 - 2023-01-17863Penguins-Barracuda-
133 - 2023-01-19877Barracuda-Silver Knights-
135 - 2023-01-21893Americans-Barracuda-
137 - 2023-01-23904Firebirds-Barracuda-
140 - 2023-01-26929Admirals-Barracuda-
142 - 2023-01-28946IceHogs-Barracuda-
145 - 2023-01-31967Rocket-Barracuda-
147 - 2023-02-02983Thunderbirds-Barracuda-
149 - 2023-02-04992Bears-Barracuda-
151 - 2023-02-061006Barracuda-Moose-
152 - 2023-02-071019Barracuda-Eagles-
154 - 2023-02-091032Barracuda-Thunderbirds-
156 - 2023-02-111051Wild-Barracuda-
159 - 2023-02-141074Monsters-Barracuda-
161 - 2023-02-161090Firebirds-Barracuda-
163 - 2023-02-181107Islanders-Barracuda-
165 - 2023-02-201118Barracuda-Condors-
168 - 2023-02-231145Barracuda-Canucks-
170 - 2023-02-251154Barracuda-Heat-
173 - 2023-02-281185Moose-Barracuda-
175 - 2023-03-021199Silver Knights-Barracuda-
177 - 2023-03-041215Barracuda-Roadrunners-
180 - 2023-03-071239Eagles-Barracuda-
182 - 2023-03-091256Eagles-Barracuda-
184 - 2023-03-111259Condors-Barracuda-
186 - 2023-03-131275Barracuda-Moose-
188 - 2023-03-151297Barracuda-Heat-
189 - 2023-03-161308Barracuda-Condors-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
25,080$ 2,370,000$ 2,370,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,540$ 25,080$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 12,540$ 2,344,980$




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
118234250105621951742141181106231100871341161404331958781071953295244941716721269381196785489232374728618621083330.56%1383872.46%3821160651.12%857165251.88%549101753.98%170990515738061703827
118234250105621951742141181106231100871341161404331958781071953295244941716721269381196785489232374728618621083330.56%1383872.46%3821160651.12%857165251.88%549101753.98%170990515738061703827
12210001005411000010034-1110000002023510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
Total Saison régulière166695002011124395352438336220125622031782583332808662192174182173956681063819831451354254481631195917361784707152058037622237031.39%2807872.14%61676325951.43%1733334151.87%1108205853.84%346018293186163334501678
Séries éliminatoires
111596000004548-3743000002124-385300000242401845711160011171525421571941603158517988359241041.67%441077.27%020339551.39%17637247.31%12124349.79%332182324150305151
111596000004548-3743000002124-385300000242401845711160011171525421571941603158517988359241041.67%441077.27%020339551.39%17637247.31%12124349.79%332182324150305151
Total Séries éliminatoires301812000009096-61486000004248-616106000004848036901422320022343041084314388320621170358176718482041.67%882077.27%040679051.39%35274447.31%24248649.79%665365649300611302