Connexion

Barracuda
GP: 85 | W: 43 | L: 36 | OTL: 6 | P: 92
GF: 223 | GA: 247 | PP%: 23.33% | PK%: 70.31%
DG: Gord Trann | Morale : 57 | Moyenne d’équipe : 60
Prochains matchs #1335 vs Senators
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Centre de jeu
Heat
42-32-12, 96pts
1
FINAL
2 Barracuda
43-36-6, 92pts
Team Stats
W1SéquenceL1
22-17-3Fiche domicile24-15-4
20-15-9Fiche domicile19-21-2
3-4-3Derniers 10 matchs4-6-0
3.26Buts par match 2.62
2.80Buts contre par match 2.91
35.02%Pourcentage en avantage numérique23.33%
69.10%Pourcentage en désavantage numérique70.31%
Silver Knights
44-23-17, 105pts
2
FINAL
0 Barracuda
43-36-6, 92pts
Team Stats
W1SéquenceL1
29-9-5Fiche domicile24-15-4
15-14-12Fiche domicile19-21-2
4-3-3Derniers 10 matchs4-6-0
3.55Buts par match 2.62
2.96Buts contre par match 2.91
28.17%Pourcentage en avantage numérique23.33%
74.40%Pourcentage en désavantage numérique70.31%
Senators
44-34-7, 95pts
Jour 108
Barracuda
43-36-6, 92pts
Statistiques d’équipe
W2SéquenceL1
25-13-5Fiche domicile24-15-4
19-21-2Fiche visiteur19-21-2
4-4-210 derniers matchs4-6-0
3.66Buts par match 2.62
3.39Buts contre par match 2.62
26.91%Pourcentage en avantage numérique23.33%
68.46%Pourcentage en désavantage numérique70.31%
Senators
44-34-7, 95pts
Jour 110
Barracuda
43-36-6, 92pts
Statistiques d’équipe
W2SéquenceL1
25-13-5Fiche domicile24-15-4
19-21-2Fiche visiteur19-21-2
4-4-210 derniers matchs4-6-0
3.66Buts par match 2.62
3.39Buts contre par match 2.62
26.91%Pourcentage en avantage numérique23.33%
68.46%Pourcentage en désavantage numérique70.31%
Barracuda
43-36-6, 92pts
Jour 111
Stars
50-27-7, 107pts
Statistiques d’équipe
L1SéquenceW5
24-15-4Fiche domicile25-12-6
19-21-2Fiche visiteur25-15-1
4-6-010 derniers matchs9-1-0
2.62Buts par match 4.13
2.91Buts contre par match 4.13
23.33%Pourcentage en avantage numérique31.71%
70.31%Pourcentage en désavantage numérique74.77%
Meneurs d'équipe
Buts
Tristen Robins
29
Passes
Tristen Robins
41
Points
Tristen Robins
70
Plus/Moins
Fredrik Karlstrom
7
Jake AllenVictoires
Jake Allen
30
Anton ForsbergPourcentage d’arrêts
Anton Forsberg
0.949

Statistiques d’équipe
Buts pour
223
2.62 GFG
Tirs pour
1603
18.86 Avg
Pourcentage en avantage numérique
23.3%
56 GF
Début de zone offensive
34.0%
Buts contre
247
2.91 GAA
Tirs contre
2159
25.40 Avg
Pourcentage en désavantage numérique
70.3%%
57 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralGord Trann
EntraîneurScott Gordon
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,984
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 100
Espoirs23


Historique d'équipe

Saison actuelle43-36-6 (92PTS)
Historique191-123-43 (0.535%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)14-11
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Yegor ChinakhovXX100.007342908567656768347665637558586677660232988,602$
2Joel KivirantaXX100.008244838063638063345463782563646380650282868,000$
3Radim ZohornaXXX100.0083857468857275627662616655505060776402721,337,000$
4Dylan GambrellX100.0074438877685980536259578125676663666402721,622,000$
5Tristen Robins (R)X100.007163916965778164796064605947476280620223863,333$
6Fredrik Karlstrom (R)X100.007873906673737760755958635547476167610262881,836$
7Gage Goncalves (R)X100.006962866564828762506555585347475976610232859,705$
8Matt LuffX100.007544996873556753255858632560606172590262875,000$
9Mitchell Chaffee (R)X100.0075747869745453605048696167474762785902621,102,000$
10Jake LeschyshynX100.007944937367538149764853612556565877580253997,000$
11Dylan Holloway (R)XX100.008057866376556461405956572552525979580222773,038$
12Nathan Legare (R)X100.007374756575737950504649604845455519560232825,148$
13Andy WelinskiX100.0079749168746063522546426739596053736103011,000,000$
14Taylor FedunX100.007774897174657048253642653962635178610351960,000$
15Artemi Knyazev (R)X100.007267866969727853254942603947475276600233943,227$
16Bobby Nardella (R)X100.0068628262626569512548415739464551535602711,000,000$
17Blake HillmanX100.0072688764685456462537385737464649695402811,000,000$
Rayé
1Josh Doan (R)XXX100.007668996569515056715255635345455919560223750,000$
2Matthew Rempe (R)X100.007482566582677249614448604644445435550213836,000$
3Corson Ceulemans (R)X74.867573836575474846253443584047474858540203750,000$
MOYENNE D’ÉQUIPE98.74756485697163705547525363435252576560
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jake Allen100.006468687665678770696492707365987003312,250,000$
2Anton Forsberg100.006767667873627468706759595968816703122,000,000$
Rayé
1Dustin Tokarski100.005850637461595562605995484859205803411,100,000$
MOYENNE D’ÉQUIPE100.0063626676666372676663825960646665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon72587669704765USA591800,000$


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
1Tristen RobinsBarracuda (SJS)C85294170251351231741707410717.06%27176220.7371219281520002293159.23%12143533010.7915214367
2Joel KivirantaBarracuda (SJS)LW/RW85283866-2272101201402087516713.46%46185621.841015254520311231205033.93%3335634010.7111110365
3Yegor ChinakhovBarracuda (SJS)LW/RW85193150-311951071321626211311.73%24169219.9175121715401121004041.45%1525226000.5923001434
4Radim ZohornaBarracuda (SJS)C/LW/RW85241842-189640142168150379116.00%46187722.093361015911231172246.11%1803427000.45410332134
5Fredrik KarlstromBarracuda (SJS)C7811273871915889466194516.67%11107113.73481213730000171151.02%392517000.7113120320
6Gage GoncalvesBarracuda (SJS)LW8582836-22361011714278255610.26%32156318.391784104000011043.34%5031617000.4626011223
7Thomas NovakSharksC48191332500475183124122.89%965313.621348560221251155.16%310411000.9822000512
8Owen PowerSharksD31102030-5135277587424211.49%4283426.93471117102112265220%02222010.7200001210
9Alexis LafreniereSharksLW/RW33151328-180483990235216.67%1062318.8932512641122403243.18%442812010.9000000212
10Artemi KnyazevBarracuda (SJS)D8541721-187545731386419316.25%96183321.57268121190000100110%01647000.2300225211
11Andy WelinskiBarracuda (SJS)D5421012-7503061814219224.76%60133024.65011274000093200%01027000.1800123001
12Taylor FedunBarracuda (SJS)D853710-103915761224120197.32%71185621.8411231480001116010%0947100.1100210011
13Mitchell ChaffeeBarracuda (SJS)RW85369-430094803917397.69%16108512.7800000000001047.83%23178000.1700000101
14Corson CeulemansBarracuda (SJS)D85358-17422062832391013.04%37134915.882245119000057000%0521100.1200211000
15Matt LuffBarracuda (SJS)RW8534700032512592212.00%66677.85000016000003028.57%1449000.2100000110
16Dylan HollowayBarracuda (SJS)C/LW8541532067292061020.00%34925.790001170000180030.77%1342000.2000000000
17Bobby NardellaBarracuda (SJS)D48123-33810404912228.33%2988518.450000100007100%0311000.0700110001
18Dylan GambrellBarracuda (SJS)C200221202328104100%128314.1600009000180050.00%6022000.1400000000
19Jake LeschyshynBarracuda (SJS)C85000-5205113000%21521.8000004000010051.43%350100000000000
20Blake HillmanBarracuda (SJS)D5400000010202030%55329.8500004000021000%02300000000000
21Nathan LegareBarracuda (SJS)RW32000-120520000%0531.680000000000000%20000000000000
22Josh DoanBarracuda (SJS)C/LW/RW37000000102010%0371.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1455186283469-14659624013681709137747488313.51%5732249415.4645721171771589471117942301150.47%3275324377240.421330151518292832
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
1Jake AllenBarracuda (SJS)64302260.8942.413514041411336708520.913235629434
2Casey DeSmithSharks29131400.8743.7615632198779395030.8336292102
3Anton ForsbergBarracuda (SJS)30000.9491.746900239200000054000
Statistiques d’équipe totales ou en moyenne96433660.8882.815147252412154112355298585536


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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
Andy WelinskiBarracuda (SJS)D301993-04-27No201 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$78,261$1,000,000$78,261$0$0$NoLien / Lien NHL
Anton ForsbergBarracuda (SJS)G311992-11-26No192 Lbs6 ft3NoNoNoNo2Pro & Farm2,000,000$156,522$2,000,000$156,522$0$0$No2,000,000$Lien / Lien NHL
Artemi KnyazevBarracuda (SJS)D232001-01-04Yes181 Lbs6 ft0NoNoNoNo3Pro & Farm943,227$73,818$943,227$73,818$0$0$No943,227$943,227$Lien
Blake HillmanBarracuda (SJS)D281996-01-26No181 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$78,261$1,000,000$78,261$0$0$NoLien
Bobby NardellaBarracuda (SJS)D271996-04-22Yes175 Lbs5 ft9NoNoNoNo1Pro & Farm1,000,000$78,261$1,000,000$78,261$0$0$NoLien
Corson CeulemansBarracuda (SJS)D202003-05-05Yes198 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$58,696$750,000$58,696$0$0$No750,000$750,000$
Dustin TokarskiBarracuda (SJS)G341989-09-15No205 Lbs6 ft0NoNoNoNo1Pro & Farm1,100,000$86,087$1,100,000$86,087$0$0$NoLien / Lien NHL
Dylan GambrellBarracuda (SJS)C271996-08-26No185 Lbs6 ft0NoNoNoYes2Pro & Farm1,622,000$126,939$1,622,000$126,939$0$0$No1,622,000$Lien / Lien NHL
Dylan HollowayBarracuda (SJS)C/LW222001-09-23Yes203 Lbs6 ft1NoNoNoNo2Pro & Farm773,038$60,499$773,038$60,499$0$0$No773,038$Lien
Fredrik KarlstromBarracuda (SJS)C261998-01-12Yes190 Lbs6 ft3NoNoNoNo2Pro & Farm881,836$69,013$881,836$69,013$0$0$No881,836$Lien
Gage GoncalvesBarracuda (SJS)LW232001-01-16Yes165 Lbs6 ft0NoNoNoNo2Pro & Farm859,705$67,281$859,705$67,281$0$0$No859,705$Lien
Jake AllenBarracuda (SJS)G331990-08-07No195 Lbs6 ft2NoNoNoNo1Pro & Farm2,250,000$176,087$2,250,000$176,087$0$0$NoLien / Lien NHL
Jake LeschyshynBarracuda (SJS)C251999-03-10No181 Lbs5 ft11NoNoNoNo3Pro & Farm997,000$78,026$997,000$78,026$0$0$No997,000$997,000$Lien
Joel KivirantaBarracuda (SJS)LW/RW281996-03-23No175 Lbs5 ft10NoNoNoNo2Pro & Farm868,000$67,930$868,000$67,930$0$0$No868,000$Lien
Josh DoanBarracuda (SJS)C/LW/RW222002-02-01Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$58,696$750,000$58,696$0$0$No750,000$750,000$
Matt LuffBarracuda (SJS)RW261997-05-05No196 Lbs6 ft2NoNoNoNo2Pro & Farm875,000$68,478$875,000$68,478$0$0$No875,000$Lien / Lien NHL
Matthew RempeBarracuda (SJS)C212002-06-29Yes205 Lbs6 ft8NoNoNoNo3Pro & Farm836,000$65,426$836,000$65,426$0$0$No836,000$836,000$Lien
Mitchell ChaffeeBarracuda (SJS)RW261998-01-26Yes207 Lbs6 ft0NoNoNoNo2Pro & Farm1,102,000$86,243$1,102,000$86,243$0$0$No1,102,000$Lien
Nathan LegareBarracuda (SJS)RW232001-01-11Yes205 Lbs6 ft0NoNoNoNo2Pro & Farm825,148$64,577$825,148$64,577$0$0$No825,148$Lien
Radim ZohornaBarracuda (SJS)C/LW/RW271996-04-29No220 Lbs6 ft6NoNoNoNo2Pro & Farm1,337,000$104,635$1,337,000$104,635$0$0$No1,337,000$Lien
Taylor FedunBarracuda (SJS)D351988-06-04No200 Lbs6 ft1NoNoNoNo1Pro & Farm960,000$75,130$960,000$75,130$0$0$NoLien
Tristen RobinsBarracuda (SJS)C222001-11-15Yes176 Lbs5 ft10NoNoNoNo3Pro & Farm863,333$67,565$863,333$67,565$0$0$No863,333$863,333$
Yegor ChinakhovBarracuda (SJS)LW/RW232001-02-01No178 Lbs6 ft0NoNoNoNo2Pro & Farm988,602$77,369$988,602$77,369$0$0$No988,602$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.17191 Lbs6 ft12.001,068,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan GambrellTristen RobinsJoel Kiviranta40122
2Yegor ChinakhovGage GoncalvesRadim Zohorna30122
3Radim ZohornaYegor ChinakhovJoel Kiviranta20122
4Gage GoncalvesTristen RobinsMitchell Chaffee10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy WelinskiArtemi Knyazev40122
2Bobby NardellaTaylor Fedun30122
3Artemi Knyazev20122
4Andy WelinskiTaylor Fedun10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tristen RobinsDylan GambrellJoel Kiviranta60122
2Yegor ChinakhovGage GoncalvesRadim Zohorna40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi Knyazev60122
2Andy WelinskiTaylor Fedun40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel KivirantaRadim Zohorna60122
2Tristen RobinsYegor Chinakhov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy WelinskiArtemi Knyazev60122
2Taylor Fedun40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Yegor Chinakhov60122Andy WelinskiArtemi Knyazev60122
2Joel Kiviranta40122Taylor Fedun40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel KivirantaRadim Zohorna60122
2Tristen RobinsYegor Chinakhov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi KnyazevAndy Welinski60122
2Taylor Fedun40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor ChinakhovRadim ZohornaJoel KivirantaTaylor FedunAndy Welinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor ChinakhovRadim ZohornaJoel KivirantaTaylor FedunAndy Welinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Kiviranta, Radim Zohorna, Yegor ChinakhovJoel Kiviranta, Radim ZohornaJoel Kiviranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Fedun, Artemi Knyazev, Taylor FedunTaylor Fedun, Artemi Knyazev
Tirs de pénalité
Radim Zohorna, Gage Goncalves, Tristen Robins, Yegor Chinakhov, Joel Kiviranta
Gardien
#1 : Jake Allen, #2 : Anton Forsberg


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
1Admirals21100000981110000004221010000056-120.50091625004181861946399581603493811163610330.00%3233.33%2681128952.83%727152547.67%53297654.51%1510592162390520201035
2Americans2020000016-51010000012-11010000004-400.000123004181861929399581603493351440500.00%7357.14%0681128952.83%727152547.67%53297654.51%1510592162390520201035
3Bears2010100047-31010000015-41000100032120.500461000418186194139958160349642412264250.00%6350.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
4Bruins21000010422110000002111000001021141.0004590041818619193995816034932124274125.00%20100.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
5Canucks11000000101110000001010000000000021.0001230141818619339958160349135019000%000%0681128952.83%727152547.67%53297654.51%1510592162390520201035
6Checkers210000101073100000103211100000075241.00010142400418186194039958160349471227446350.00%6266.67%0681128952.83%727152547.67%53297654.51%1510592162390520201035
7Comets612010111618-230200001612-631001010106470.58316233900418186199939958160349150433311218633.33%15473.33%0681128952.83%727152547.67%53297654.51%1510592162390520201035
8Condors2020000069-31010000023-11010000046-200.000610160041818619533995816034986221430200.00%7185.71%0681128952.83%727152547.67%53297654.51%1510592162390520201035
9Crunch2010010036-31000010034-11010000002-210.2503580041818619193995816034943922334125.00%6433.33%0681128952.83%727152547.67%53297654.51%1510592162390520201035
10Eagles2010100023-1100010002111010000002-220.5002350041818619223995816034928141431300.00%7271.43%0681128952.83%727152547.67%53297654.51%1510592162390520201035
11Griffins2200000011110110000008171100000030341.0001116270141818619233995816034924812334250.00%110.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
12Gulls21000010413110000002021000001021141.00045901418186192739958160349331511466233.33%3166.67%0681128952.83%727152547.67%53297654.51%1510592162390520201035
13Heat21001000422110000002111000100021141.000471100418186192039958160349288832000%40100.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
14IceHogs715010001625-940301000715-831200000910-140.286162339204181861915239958160349184453214220420.00%17382.35%1681128952.83%727152547.67%53297654.51%1510592162390520201035
15Islanders20200000311-81010000016-51010000025-300.000358004181861939399581603496422543313215.38%7271.43%0681128952.83%727152547.67%53297654.51%1510592162390520201035
16Marlies20001100660100010003211000010034-130.750611170041818619363995816034943199424125.00%2150.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
17Monsters631010102316732000010148631101000981100.83323345700418186191323995816034916659271121715.88%11463.64%0681128952.83%727152547.67%53297654.51%1510592162390520201035
18Moose21100000110110000001011010000001-120.500112014181861920399581603492541233300.00%110.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
19Penguins22000000844110000005321100000031241.000812200041818619293995816034937923434250.00%4175.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
20Phantoms1010000013-21010000013-20000000000000.00011200418186191039958160349198416300.00%2150.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
21Reign20000110220100000102111000010001-130.7502240041818619739958160349148632100.00%30100.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
22Roadrunners2010001069-3100000105411010000015-420.5006101600418186193339958160349702119415360.00%2150.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
23Rocket614001001827-9302001001017-731200000810-230.250183048104181861916639958160349220724510521733.33%20860.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
24Senators531000102014611000000826421000101212080.80020284801418186191393995816034916355499618633.33%7271.43%1681128952.83%727152547.67%53297654.51%1510592162390520201035
25Silver Knights30300000312-91010000002-220200000310-700.0003580041818619373995816034975292949200.00%12283.33%0681128952.83%727152547.67%53297654.51%1510592162390520201035
26Stars1010000067-11010000067-10000000000000.00069150041818619243995816034938982010330.00%4325.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
27Thunderbirds3210000089-1220000008441010000005-540.667812200041818619613995816034911839344415426.67%7185.71%0681128952.83%727152547.67%53297654.51%1510592162390520201035
28Wild211000005411010000013-21100000041320.500571210418186193139958160349602312292150.00%6183.33%0681128952.83%727152547.67%53297654.51%1510592162390520201035
29Wolf Pack21100000330110000003121010000002-220.50035810418186194739958160349278233600.00%10100.00%0681128952.83%727152547.67%53297654.51%1510592162390520201035
30Wolves843001001924-543000100106441300000918-990.56319315000418186191993995816034921776981363026.67%19384.21%1681128952.83%727152547.67%53297654.51%1510592162390520201035
Total85283607581223247-2443171503341122118442112104240101129-28920.5412233405635541818619160339958160349215969465015152405623.33%1925770.31%5681128952.83%727152547.67%53297654.51%1510592162390520201035
_Since Last GM Reset85283607581223247-2443171503341122118442112104240101129-28920.5412233405635541818619160339958160349215969465015152405623.33%1925770.31%5681128952.83%727152547.67%53297654.51%1510592162390520201035
_Vs Conference54182403351141161-20261010013116974-528814020407287-15560.519141213354534181861911233995816034914694733789691503120.67%1263373.81%3681128952.83%727152547.67%53297654.51%1510592162390520201035
_Vs Division211316032315366-131267012113436-2979020201930-11410.9765381134314181861938939958160349561166147376681826.47%471470.21%3681128952.83%727152547.67%53297654.51%1510592162390520201035

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8592L122334056316032159694650151555
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8528367581223247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4317153341122118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4211214240101129
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2405623.33%1925770.31%5
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
3995816034941818619
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
681128952.83%727152547.67%53297654.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1510592162390520201035


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
113Senators2Barracuda8BWSommaire du match
333Wolves3Barracuda2BLXSommaire du match
450Barracuda5Wolves3AWSommaire du match
564IceHogs5Barracuda3BLSommaire du match
672Barracuda1Senators6ALSommaire du match
894Wolves1Barracuda4BWSommaire du match
9116Barracuda3Rocket4ALSommaire du match
10118Barracuda5Monsters6ALSommaire du match
11139Comets8Barracuda5BLSommaire du match
12156Barracuda8IceHogs4AWSommaire du match
13169Barracuda2Wolves3ALSommaire du match
14183IceHogs5Barracuda1BLSommaire du match
15202Monsters2Barracuda5BWSommaire du match
17218Barracuda4Senators3AWXXSommaire du match
18232Rocket4Barracuda2BLSommaire du match
19249Barracuda3Comets2AWXXSommaire du match
20254Barracuda4Senators3AWSommaire du match
21269Rocket8Barracuda4BLSommaire du match
22284Barracuda0Americans4ALSommaire du match
23301Wild3Barracuda1BLSommaire du match
24313Barracuda2Wolves9ALSommaire du match
25327Wolf Pack1Barracuda3BWSommaire du match
26340Barracuda4Condors6ALSommaire du match
27362Islanders6Barracuda1BLSommaire du match
28371Barracuda2Rocket5ALSommaire du match
30389Admirals2Barracuda4BWSommaire du match
32408Barracuda5Admirals6ALSommaire du match
33418Canucks0Barracuda1BWSommaire du match
35444Barracuda2Heat1AWXSommaire du match
36455Barracuda7Checkers5AWSommaire du match
37464Monsters2Barracuda4BWSommaire du match
38485Bruins1Barracuda2BWSommaire du match
40505Griffins1Barracuda8BWSommaire du match
41518Barracuda3Griffins0AWSommaire du match
42536Marlies2Barracuda3BWXSommaire du match
44562Roadrunners4Barracuda5BWXXSommaire du match
45573Barracuda0IceHogs2ALSommaire du match
46581Barracuda2Monsters1AWSommaire du match
47600Barracuda4Comets3AWXSommaire du match
48611Gulls0Barracuda2BWSommaire du match
49629Barracuda3Senators0AWSommaire du match
50644Crunch4Barracuda3BLXSommaire du match
51658Barracuda3Bears2AWXSommaire du match
53676Monsters4Barracuda5BWXXSommaire du match
54695Eagles1Barracuda2BWXSommaire du match
56714Barracuda1Silver Knights5ALSommaire du match
57719Barracuda4Wild1AWSommaire du match
58736Wolves1Barracuda2BWSommaire du match
59752Checkers2Barracuda3BWXXSommaire du match
60769Barracuda2Gulls1AWXXSommaire du match
62789Barracuda3Penguins1AWSommaire du match
63798Phantoms3Barracuda1BLSommaire du match
64818Bears5Barracuda1BLSommaire du match
66833Barracuda1Roadrunners5ALSommaire du match
67849Thunderbirds3Barracuda5BWSommaire du match
69867Barracuda0Moose1ALSommaire du match
70878Barracuda3Comets1AWSommaire du match
71890Comets2Barracuda1BLXXSommaire du match
72910Condors3Barracuda2BLSommaire du match
74926Barracuda3Marlies4ALXSommaire du match
75938Barracuda0Wolves3ALSommaire du match
76951Comets2Barracuda0BLSommaire du match
77968Reign1Barracuda2BWXXSommaire du match
78984Barracuda2Islanders5ALSommaire du match
801006Stars7Barracuda6BLSommaire du match
811016Barracuda0Thunderbirds5ALSommaire du match
821035Barracuda2Monsters1AWXSommaire du match
831045Penguins3Barracuda5BWSommaire du match
841065Barracuda2Bruins1AWXXSommaire du match
851075Thunderbirds1Barracuda3BWSommaire du match
871100Rocket5Barracuda4BLXSommaire du match
881111Barracuda3Rocket1AWSommaire du match
891128Americans2Barracuda1BLSommaire du match
911143Barracuda0Reign1ALXSommaire du match
921158Barracuda0Crunch2ALSommaire du match
931168IceHogs3Barracuda0BLSommaire du match
941192IceHogs2Barracuda3BWXSommaire du match
951205Barracuda1IceHogs4ALSommaire du match
961211Barracuda2Silver Knights5ALSommaire du match
971228Barracuda0Wolf Pack2ALSommaire du match
981236Wolves1Barracuda2BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1011260Moose0Barracuda1BWSommaire du match
1021271Barracuda0Eagles2ALSommaire du match
1031290Heat1Barracuda2BWSommaire du match
1061317Silver Knights2Barracuda0BLSommaire du match
1081335Senators-Barracuda-
1101365Senators-Barracuda-
1111367Barracuda-Stars-
1121375Barracuda-Canucks-
1131385Barracuda-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1510
Assistance85,98042,344
Assistance PCT99.98%98.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2984 - 99.48% 59,362$2,552,578$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,090,244$ 2,458,190$ 2,458,190$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,376$ 2,352,835$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
118,725$ 9 28,332$ 254,988$




Barracuda Leaders statistiques des joueurs (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
1Tyler Johnson875394147493115715334615.32%37191522.021226384112398559.00%31.53112
2Radim Zohorna2626275137212439335846013.48%90472218.0214132736112710537.08%10.58417
3Nick Suzuki956469133-181314615337517.07%56214322.5624295360505169157.70%41.24310
4Dylan Gambrell2644783130396339836332314.55%72436916.557172423101154356.39%10.6027
5Alexis Lafreniere151616212314920317549212.40%35261217.3013152844112710337.74%10.9416

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
1Anton Forsberg1015719120.8972.45554925227219611291120.56439
2Casey DeSmith107533990.8902.73609541127725281293340.85749
3Jake Allen85422680.8962.564576241951875976720.84833
4Michael DiPietro39111560.8573.09200201103718396210.2229
5Alexandar Georgiev41100.9411.299300234220000

Barracuda Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202090293904765265289-2445182201121131135-445111703644134154-2090265414679344510610414220058979379757207368787618542487429.84%2347468.38%6846159153.17%752146251.44%558114348.82%1796811159392520721064
202190481906539336239974525600536174116584523130600316212339128336529865157313711717283288698394362215467990026592636625.10%2907773.45%4994176956.19%884163554.07%665117456.64%191295516259261935947
2022923829066852742393546181304461142119234620160222413212012115274430704195110310618214055974581275228978787219932295122.27%2376074.68%3636154341.22%688172639.86%473109043.39%1744751171197021431080
202385283607581223247-2443171503341122118442112104240101129-28922233405635541818619160339958160349215969465015152405623.33%1925770.31%5681128952.83%727152547.67%53297654.51%1510592162390520201035
Total Saison régulière35714312302323252010981014841797856081315956948881178656701510101152952634251098171328111023210427413688775243331023155243867528473298802198024725.20%95326871.88%183157619250.99%3051634848.06%2228438350.83%696331106553372781704128
Séries éliminatoires
2021158700000534678440000024240743000002922716538513801142216137911611512325403144260282551323.64%651084.62%116130153.49%18031756.78%12920862.02%298132292159336172
20221064000004636105320000029227532000001714312467211800101520135711511212010341106114258281346.43%431369.77%112523652.97%11223447.86%8418146.41%2151142029819595
Total Séries éliminatoires2514110000099821713760000053467127500000463610289915725601243736273623122724335744250374540832631.33%1082378.70%228653753.26%29255152.99%21338954.76%514247495258531267

Barracuda Leaders statistiques des joueurs (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
12517264370423110715.89%1358123.2857121511253140.54%11.4800
2251418325837417817.95%1146018.414371210123153.11%21.3900
3151313264527295922.03%837124.784371400003060.25%21.4000
42561622623641629.68%544918.00257701110044.35%00.9800
525961541449233724.32%837615.06134100011140.00%00.8000

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
1158410.8882.8781501393471711000
2106400.9023.2858500323271621000
310000.7149.60250041470000
450110.8753.7811100756280000