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Barracuda

GP: 50 | W: 26 | L: 19 | OTL: 5 | P: 57
GF: 196 | GA: 177 | PP%: 26.04% | PK%: 81.40%
DG: Mark Dion | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #786 vs Phantoms
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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
1A.J. GreerX100.00665282628578776157606063626764050630221735,000$
2Joachim BlichfeldXX100.00654289637677736256606166646365050630212790,000$
3Darren ArchibaldX100.00664988618577755953586062577867021630291650,000$
4Carter CamperX100.00544386616586835968645761598072050620311650,000$
5Colin McDonaldX100.00714689588487895754565558578676050620351650,000$
6Martin KautX100.006145896078848162555958636061630506202031,319,167$
7Nathan WalkerX100.00564387636775726254606158637166050620252700,000$
8Paul ThompsonX100.00635974607787905854595956607977050620301675,000$
9Scott WilsonX100.005642906368727062536061646275680506202711,050,000$
10Tyrell GoulbourneXX100.00595183597173755850565755597166050600252700,000$
11Cameron DarcyX100.00534987587285865660575554567166050590251650,000$
12Matt DonovanX100.00644986637880766230615859537870050630291675,000$
13Matt BartkowskiX100.00624787617783805930585862518072050620311700,000$
14Trevor CarrickX100.00625382618073756230605863547166050620252700,000$
15Riley StillmanX100.00644886607783725930585765506362050610212900,000$
16Yegor RykovX100.00684389618273725930585357466563050600222925,000$
17Nicolas BeaudinX100.005642885966837458305757564561620505902031,135,833$
Rayé
1Brett Leason (R)X100.00754689589184835651555359546162050610203925,000$
2Kevin RoyXX100.00543886626480776354615860647367050610261850,000$
3Jonah GadjovichX100.00684984608279775851535759586359050600203863,333$
4Nick BaptisteX100.00644588587883845662555560566965050600241650,000$
5Jeremy GregoireX100.00596570587387885663555557566965050590241650,000$
6Ben JonesX100.00574487567277765461535355526162050580203760,000$
7Jermaine LoewenXX100.00765966549075725351505257546359050580211650,000$
8Alex DostieXX100.00523988555683825458525651546563050570221925,000$
9Antoine MorandX100.00534486575885875566545452536162050570203927,500$
10Sean DurziX100.00574487607178755830575354466361050590203925,000$
11Joseph CecconiX100.006845895482858753305250564564600505802221,293,750$
12Casey FitzgeraldX100.00544476585973725630555354486563050570222925,000$
MOYENNE D'ÉQUIPE100.0061478559758079584857565855696504960
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
1Sam Montembeault100.0075737183747375747375746771050650
2Philippe Desrosiers100.0071757376706971706971706973050630
Rayé
MOYENNE D'ÉQUIPE100.007374728072717372717372687205064
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Joachim BlichfeldBarracuda (SJS)LW/RW501732491022012180224561697.59%16100020.012810237700041321052.31%6500000.9817000321
2Andrew AgozzinoSharksC/LW3816284413140541011583812010.13%1073519.35213964000051355.16%84300001.2013000342
3Scott WilsonBarracuda (SJS)LW5015294422404080207511427.25%1182716.5514512410002541148.94%4700001.0602000142
4Carter CamperBarracuda (SJS)C5013274058043136189431486.88%1291018.204481874000052060.13%119400000.8800000221
5Trevor CarrickBarracuda (SJS)D5073340342101154510030627.00%101117023.411452476000396010.00%000000.6800101103
6Riley StillmanBarracuda (SJS)D498303801401005110324547.77%67104521.3453832710002111210.00%000000.7300000003
7Nathan WalkerBarracuda (SJS)LW50122335-580345515457977.79%780516.121671774000030142.59%5400000.8713000020
8A.J. GreerBarracuda (SJS)LW50151833-62008787179531498.38%1684416.892139160000602058.04%36700010.7813000210
9Matt DonovanBarracuda (SJS)D5012193163401025867246017.91%72116923.383361878000088000.00%000010.5300000112
10Paul ThompsonBarracuda (SJS)RW501217295235795516847897.14%1278415.6800000000002158.33%6000010.7400001201
11Alan QuineSharksC/LW/RW32159241100551151495611810.07%1474623.3424611460007841154.15%108400010.6415000022
12Yegor RykovBarracuda (SJS)D48518237260115245518309.09%6276916.0300001000026200.00%000000.6000000011
13Jan RuttaSharksD1941822166026292371917.39%3246924.69022430000142000.00%000000.9400000100
14Darren ArchibaldBarracuda (SJS)LW39121022-241409379159461107.55%4071118.2522432670001411050.43%23400000.6200000002
15Matt BartkowskiBarracuda (SJS)D5051621-614085427825596.41%60105521.1017818740001111000.00%000000.4000000000
16Martin KautBarracuda (SJS)RW501462011603554115288212.17%757111.43000110003563154.34%26500000.7011000002
17Nicolas BeaudinBarracuda (SJS)D39711181560322342123016.67%3263416.2600004000014100.00%000000.5700000110
18Tyrell GoulbourneBarracuda (SJS)LW/RW15459140151036102711.11%020813.9200000000001047.06%1700000.8600000100
19Colin McDonaldBarracuda (SJS)RW124482406102381217.39%31189.8800000000001062.50%800001.3500000000
20Cameron DarcyBarracuda (SJS)C10224-200216191710.53%110510.5200000000000054.07%13500000.7600000000
21Luke WitkowskiSharksRW/D2044500618230.00%14120.930001100002000.00%000001.9100000000
22Jonah GadjovichBarracuda (SJS)LW12123020119167166.25%11129.4000000000000050.00%400000.5300000000
23Kevin RoyBarracuda (SJS)LW/RW2001102012112610300.00%01427.1400000000000041.67%1200000.1412000000
Stats d'équipe Total ou en Moyenne835200362562692931512681171229865316338.70%5771498017.9426497522980400024940211055.89%438900040.75726102182022
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
1Sam MontembeaultBarracuda (SJS)49261830.9043.3028892115916480150.77322482403
2Philippe DesrosiersBarracuda (SJS)40120.8894.231420010900000.4005248000
Stats d'équipe Total ou en Moyenne53261950.9033.3430322116917380150.704275050403


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
A.J. GreerBarracuda (SJS)LW221996-12-14No210 Lbs6 ft3NoNoNo1Pro & Farm735,000$0$0$NoLien / Lien NHL
Alex DostieBarracuda (SJS)C/LW221997-04-13No174 Lbs5 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Antoine MorandBarracuda (SJS)C201999-02-18No184 Lbs5 ft1NoNoNo3Pro & Farm927,500$0$0$No927,500$927,500$Lien
Ben JonesBarracuda (SJS)C201999-02-26No187 Lbs6 ft0NoNoNo3Pro & Farm760,000$0$0$No760,000$760,000$Lien
Brett LeasonBarracuda (SJS)RW201999-04-30Yes210 Lbs6 ft5NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Cameron DarcyBarracuda (SJS)C251994-03-02No190 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Carter CamperBarracuda (SJS)C311988-07-06No176 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Casey FitzgeraldBarracuda (SJS)D221997-02-25No186 Lbs5 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Colin McDonaldBarracuda (SJS)RW351984-09-30No219 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Darren ArchibaldBarracuda (SJS)LW291990-02-09No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Jeremy GregoireBarracuda (SJS)C241995-09-05No193 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Jermaine LoewenBarracuda (SJS)LW/RW211998-01-18No220 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien
Joachim BlichfeldBarracuda (SJS)LW/RW211998-07-17No180 Lbs6 ft2NoNoNo2Pro & Farm790,000$0$0$No790,000$Lien
Jonah GadjovichBarracuda (SJS)LW201998-12-10No209 Lbs6 ft2NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien / Lien NHL
Joseph CecconiBarracuda (SJS)D221997-05-23No210 Lbs6 ft2NoNoNo2Pro & Farm1,293,750$0$0$No1,293,750$Lien
Kevin RoyBarracuda (SJS)LW/RW261993-05-20No172 Lbs5 ft9NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Martin KautBarracuda (SJS)RW201999-10-02No190 Lbs6 ft2NoNoNo3Pro & Farm1,319,167$0$0$No1,319,167$1,319,167$Lien / Lien NHL
Matt BartkowskiBarracuda (SJS)D311988-06-04No198 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matt DonovanBarracuda (SJS)D291990-05-09No205 Lbs6 ft1NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Nathan WalkerBarracuda (SJS)LW251994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Nick BaptisteBarracuda (SJS)RW241995-08-04No203 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien
Nicolas BeaudinBarracuda (SJS)D201999-10-07No168 Lbs5 ft11NoNoNo3Pro & Farm1,135,833$0$0$No1,135,833$1,135,833$Lien
Paul ThompsonBarracuda (SJS)RW301988-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Philippe DesrosiersBarracuda (SJS)G241995-08-16No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Riley StillmanBarracuda (SJS)D211998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Sam MontembeaultBarracuda (SJS)G221996-10-30No199 Lbs6 ft3NoNoNo1Pro & Farm708,750$0$0$NoLien / Lien NHL
Scott WilsonBarracuda (SJS)LW271992-04-24No177 Lbs5 ft11NoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
Sean DurziBarracuda (SJS)D201998-10-21No185 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Trevor CarrickBarracuda (SJS)D251994-07-04No196 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$NoLien / Lien NHL
Tyrell GoulbourneBarracuda (SJS)LW/RW251994-01-26No195 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Yegor RykovBarracuda (SJS)D221997-04-14No210 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3124.03195 Lbs6 ft01.71818,011$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonCarter CamperJoachim Blichfeld28113
2Nathan WalkerA.J. GreerDarren Archibald26113
3Tyrell GoulbourneMartin KautPaul Thompson24122
4Nathan WalkerCameron DarcyColin McDonald22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DonovanTrevor Carrick30122
2Riley StillmanMatt Bartkowski30122
3Nicolas BeaudinYegor Rykov25122
4Matt DonovanTrevor Carrick15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonCarter CamperJoachim Blichfeld60104
2Darren ArchibaldA.J. GreerNathan Walker40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Trevor CarrickMatt Donovan60014
2Riley StillmanMatt Bartkowski40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1A.J. GreerJoachim Blichfeld60131
2Martin KautScott Wilson40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley StillmanTrevor Carrick60140
2Matt BartkowskiMatt Donovan40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1A.J. Greer60122Riley StillmanTrevor Carrick60140
2Martin Kaut40131Matt BartkowskiMatt Donovan40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Carter CamperJoachim Blichfeld60122
2A.J. GreerScott Wilson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DonovanTrevor Carrick60122
2Riley StillmanMatt Bartkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonCarter CamperJoachim BlichfeldMatt DonovanTrevor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonA.J. GreerJoachim BlichfeldRiley StillmanTrevor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
A.J. Greer, Paul Thompson, Carter CamperA.J. Greer, Martin KautMartin Kaut
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Riley Stillman, Matt Bartkowski, Nicolas BeaudinMatt BartkowskiMatt Bartkowski, Yegor Rykov
Tirs de Pénalité
Joachim Blichfeld, Nathan Walker, A.J. Greer, Scott Wilson, Martin Kaut
Gardien
#1 : Sam Montembeault, #2 : Philippe Desrosiers


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
LigueDomicileVisiteur
# 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
1Admirals1010000034-1000000000001010000034-100.00035800795656946734734732555714833000.00%4175.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
2Americans2020000037-4000000000002020000037-400.000369107956569717347347325573276466116.67%220.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
3Bears220000001055110000006331100000042241.0001017270079565699173473473255651810436350.00%5180.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
4Bruins2110000046-2110000004311010000003-320.50048120079565696273473473255762319385120.00%5180.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
5Comets220000001821611000000111101100000071641.0001834520079565691717347347325543610694125.00%5180.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
6Condors22000000163131100000011381100000050541.00016314701795656916773473473255531184911100.00%40100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
7Crunch20200000411-71010000035-21010000016-500.0004812007956569667347347325585301843600.00%8450.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
8Devils30100020121202010001067-11000001065140.66712183010795656913073473473255103371279300.00%6183.33%01131200856.32%851166950.99%44379355.86%13279661089330624322
9Eagles3200010013761000010023-122000000114750.8331323360079565691277347347325593261262200.00%6183.33%01131200856.32%851166950.99%44379355.86%13279661089330624322
10Griffins21100000862110000005231010000034-120.500813210079565699973473473255671810427114.29%5180.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
11Gulls30200010916-720200000412-81000001054120.33391322107956569125734734732551282712777342.86%5260.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
12Heat3200000112102220000007431000000156-150.83312233500795656914573473473255130311879300.00%90100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
13IceHogs302000011117-61000000167-120200000510-510.16711203100795656984734734732551133616826116.67%8275.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
14Marlies1010000024-21010000024-20000000000000.00024610795656945734734732553413829100.00%40100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
15Monsters11000000321110000003210000000000021.000369007956569317347347325527141027000.00%5260.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
16Moose220000001551000000000000220000001551041.000152742007956569158734734732554711253000.00%10100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
17Penguins11000000532000000000001100000053221.000591400795656956734734732553311622100.00%2150.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
18Rampage22000000853220000008530000000000041.000812200079565697873473473255632115417228.57%40100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
19Reign11000000211110000002110000000000021.00024600795656929734734732553916826000.00%4175.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
20Roadrunners2020000049-51010000025-31010000024-200.00048120079565697273473473255692018505120.00%80100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
21Rocket1010000035-21010000035-20000000000000.000369107956569417347347325526882911100.00%40100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
22Senators1010000016-51010000016-50000000000000.00012300795656934734734732552713224200.00%10100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
23Sound Tigers210000017701000000145-11100000032130.750713200079565699073473473255763014446466.67%7185.71%01131200856.32%851166950.99%44379355.86%13279661089330624322
24Thunderbirds2010010079-21010000023-11000010056-110.250714210079565698173473473255851515628337.50%5180.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
Total50211901243196177192512900112979072591001131998712570.57019635254851795656922287347347325517435172891244962526.04%1292481.40%01131200856.32%851166950.99%44379355.86%13279661089330624322
25Wild11000000541110000005410000000000021.000510150079565693573473473255298225300.00%10100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
26Wolf Pack1010000024-2000000000001010000024-200.000246007956569357347347325528118192150.00%40100.00%01131200856.32%851166950.99%44379355.86%13279661089330624322
27Wolves20001010972000000000002000101097241.000914230079565695973473473255742214514125.00%7185.71%01131200856.32%851166950.99%44379355.86%13279661089330624322
_Since Last GM Reset50211901243196177192512900112979072591001131998712570.57019635254851795656922287347347325517435172891244962526.04%1292481.40%01131200856.32%851166950.99%44379355.86%13279661089330624322
_Vs Conference2814801122118962214930010155487145501021634815370.661118209327117956569125573473473255989275153697451022.22%711184.51%01131200856.32%851166950.99%44379355.86%13279661089330624322
_Vs Division127400111554213543001002119273100011342311180.7505597152007956569528734734732554021165529618316.67%24483.33%01131200856.32%851166950.99%44379355.86%13279661089330624322

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5057W119635254822281743517289124451
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5021191243196177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2512901129790
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2591011319987
Derniers 10 Matchs
WLOTWOTL SOWSOL
440011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
962526.04%1292481.40%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
734734732557956569
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
1131200856.32%851166950.99%44379355.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13279661089330624322


Derniers Match 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 - 2020-10-056Barracuda9Moose2WSommaire du Match
3 - 2020-10-0721Barracuda8Eagles3WSommaire du Match
4 - 2020-10-0831Gulls5Barracuda3LSommaire du Match
7 - 2020-10-1151Barracuda6Devils5WXXSommaire du Match
9 - 2020-10-1358Roadrunners5Barracuda2LSommaire du Match
12 - 2020-10-1685Eagles3Barracuda2LXSommaire du Match
14 - 2020-10-1898Barracuda3IceHogs4LSommaire du Match
16 - 2020-10-20114Devils4Barracuda2LSommaire du Match
18 - 2020-10-22130Reign1Barracuda2WSommaire du Match
20 - 2020-10-24143Barracuda6Moose3WSommaire du Match
23 - 2020-10-27160Barracuda5Condors0WSommaire du Match
24 - 2020-10-28176Rampage2Barracuda4WSommaire du Match
27 - 2020-10-31191Barracuda4Wolves3WXXSommaire du Match
29 - 2020-11-02205Barracuda7Comets1WSommaire du Match
30 - 2020-11-03216Heat3Barracuda5WSommaire du Match
33 - 2020-11-06237Barracuda2Americans4LSommaire du Match
34 - 2020-11-07246Gulls7Barracuda1LSommaire du Match
37 - 2020-11-10261Barracuda4Bears2WSommaire du Match
39 - 2020-11-12277IceHogs7Barracuda6LXXSommaire du Match
41 - 2020-11-14296Barracuda5Penguins3WSommaire du Match
42 - 2020-11-15305Devils3Barracuda4WXXSommaire du Match
45 - 2020-11-18323Barracuda5Wolves4WXSommaire du Match
47 - 2020-11-20337Thunderbirds3Barracuda2LSommaire du Match
49 - 2020-11-22353Barracuda3Sound Tigers2WSommaire du Match
50 - 2020-11-23367Sound Tigers5Barracuda4LXXSommaire du Match
53 - 2020-11-26385Barracuda2IceHogs6LSommaire du Match
54 - 2020-11-27397Monsters2Barracuda3WSommaire du Match
57 - 2020-11-30418Marlies4Barracuda2LSommaire du Match
58 - 2020-12-01425Barracuda1Americans3LSommaire du Match
61 - 2020-12-04448Barracuda3Griffins4LSommaire du Match
63 - 2020-12-06461Griffins2Barracuda5WSommaire du Match
66 - 2020-12-09480Barracuda2Wolf Pack4LSommaire du Match
68 - 2020-12-11493Bruins3Barracuda4WSommaire du Match
70 - 2020-12-13507Barracuda1Crunch6LSommaire du Match
72 - 2020-12-15524Crunch5Barracuda3LSommaire du Match
74 - 2020-12-17535Barracuda3Admirals4LSommaire du Match
76 - 2020-12-19553Rampage3Barracuda4WSommaire du Match
80 - 2020-12-23578Wild4Barracuda5WSommaire du Match
82 - 2020-12-25598Barracuda5Thunderbirds6LXSommaire du Match
84 - 2020-12-27608Bears3Barracuda6WSommaire du Match
87 - 2020-12-30631Senators6Barracuda1LSommaire du Match
89 - 2021-01-01651Barracuda0Bruins3LSommaire du Match
91 - 2021-01-03663Barracuda2Roadrunners4LSommaire du Match
92 - 2021-01-04672Comets1Barracuda11WSommaire du Match
95 - 2021-01-07688Barracuda5Heat6LXXSommaire du Match
97 - 2021-01-09702Rocket5Barracuda3LSommaire du Match
99 - 2021-01-11721Barracuda3Eagles1WSommaire du Match
101 - 2021-01-13732Heat1Barracuda2WSommaire du Match
104 - 2021-01-16755Barracuda5Gulls4WXXSommaire du Match
105 - 2021-01-17764Condors3Barracuda11WSommaire du Match
109 - 2021-01-21786Phantoms-Barracuda-
111 - 2021-01-23804Barracuda-Rocket-
113 - 2021-01-25819Americans-Barracuda-
115 - 2021-01-27830Barracuda-Wild-
117 - 2021-01-29844Barracuda-Reign-
119 - 2021-01-31856Moose-Barracuda-
121 - 2021-02-02869Barracuda-Admirals-
123 - 2021-02-04887Roadrunners-Barracuda-
125 - 2021-02-06898Barracuda-Comets-
127 - 2021-02-08910Barracuda-Rampage-
128 - 2021-02-09922Reign-Barracuda-
131 - 2021-02-12940Barracuda-Marlies-
133 - 2021-02-14953Penguins-Barracuda-
135 - 2021-02-16964Barracuda-Condors-
137 - 2021-02-18983Griffins-Barracuda-
140 - 2021-02-211003Barracuda-Stars-
141 - 2021-02-221018Admirals-Barracuda-
144 - 2021-02-251038Barracuda-Devils-
146 - 2021-02-271048Stars-Barracuda-
149 - 2021-03-021068Barracuda-Stars-
150 - 2021-03-031079Eagles-Barracuda-
153 - 2021-03-061102Gulls-Barracuda-
154 - 2021-03-071106Barracuda-Moose-
156 - 2021-03-091126Barracuda-Phantoms-
158 - 2021-03-111136Wild-Barracuda-
162 - 2021-03-151167Checkers-Barracuda-
166 - 2021-03-191190Wolf Pack-Barracuda-
170 - 2021-03-231216Roadrunners-Barracuda-
173 - 2021-03-261227Barracuda-Senators-
176 - 2021-03-291244Wolves-Barracuda-
177 - 2021-03-301248Barracuda-Checkers-
179 - 2021-04-011263Barracuda-Monsters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,534,688$ 2,535,833$ 714,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,534,688$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 76 13,933$ 1,058,908$




LigueDomicileVisiteur
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
2814528001252672085940241100122147102454121170000312010614902674597264510586745246084383177731240473077714123565716.01%3025880.79%41346256852.41%1347262551.31%673129751.89%1964135418826091049528
382422203546287217704124901214148994941181302332139118218428750779415103987912290990596899477241869883514923647019.23%3466282.08%51565292853.45%1338261751.13%693127654.31%2128149518195881038540
4824020042882852058041218031351451034241191201153140102388028552080544100100731930479411024103310722856501462192358211119.07%5929583.95%31976330859.73%1726292559.01%772126860.88%2179150017926301045545
5824526003532481876141241200122137904741211400231111971490248449697381007964830611067102794447221269861420562133516.43%2575379.38%41910310761.47%1432243858.74%727120960.13%2248163216995421014536
6824821002563642231414122140012217511164412670013418911277963646621026571341201059382912191275130278266583860821921955528.21%2384083.19%32044340959.96%1548276256.05%754134556.06%2195158517515571031536
782402502051035023311741211101035184111734119140102516612244803506249744514810689193763119712911240101269185956921801924623.96%2564283.59%32064335361.56%1745292559.66%854139661.17%2226161817575521019527
8825714020544091772324134400021215801354123100203319497971144097421151191811358610401613571291134063247375639119831614226.09%1742784.48%32062324263.60%1504256858.57%879136964.21%237817911603498986540
8825714020544091772324134400021215801354123100203319497971144097421151191811358610401613571291134063247375639119831614226.09%1742784.48%32062324263.60%1504256858.57%879136964.21%237817911603498986540
9502119012431961771925129001129790725910011319987125719635254851795656922287347347325517435172891244962526.04%1292481.40%01131200856.32%851166950.99%44379355.86%13279661089330624322
Total Saison Régulière7053951890141543492815180410113522168205718241463866597353179107098252513529384148052815505778722853113191571210129329962097329702622213646502593616465232048320.82%246842882.66%28161602716559.49%129952309756.26%66741132258.95%190281373414999480787984618
Séries
2137600000373706330000016142743000002123-214376710400149131365116130116343611411619170912.86%571082.46%120142347.52%19546841.67%8518246.70%28519033810216279
3734000002023-333000000117440400000916-762034541079311714957632263589513235720.00%41978.05%07919939.70%10027336.63%4912040.83%153101180558742
4734000001416-241300000810-2321000006606142640017430250797666291845513017354814.81%581082.76%019429865.10%17924672.76%6710663.21%1971321626010052
52213900000625661174000003227511650000030291266211217412232213465921221218946665217176587761621.05%791383.54%238074850.80%36675148.74%18234952.15%535365558168295147
673400000252233210000010824130000015141625477200651402509477763225825418720630.00%25580.00%013828248.94%12324450.41%6212848.44%169113164559447
717107000006052883500000242409720000036288206010816810152318470520524022832559164116473611321.31%561278.57%239072953.50%32763851.25%15529652.36%442310399129225114
8147700000343408530000019127624000001522-7143464980114137050015419714904161307131640512.50%30486.67%029650558.61%26147754.72%11020952.63%3472503249516885
Total Séries8746410000025224012432419000001201021844222200000132138-69225245871034868571102900909989887115274882075820593566417.98%3466381.79%51678318452.70%1551309750.08%710139051.08%2132146321276661134569