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Connexion

Barracuda
GP: 80 | W: 33 | L: 38 | OTL: 9 | P: 75
GF: 317 | GA: 356 | PP%: 25.85% | PK%: 74.67%
DG: Roland Roberge | Morale : 25 | Moyenne d’équipe : 63
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Centre de jeu
Marlies
42-34-4, 88pts
2
FINAL
3 Barracuda
33-38-9, 75pts
Team Stats
OTW1StreakOTL1
24-15-1Home Record16-19-5
18-19-3Away Record17-19-4
3-7-0Last 10 Games7-2-1
4.26Buts par match 3.96
4.33Buts contre par match 4.45
25.31%Pourcentage en avantage numérique25.85%
73.98%Pourcentage en désavantage numérique74.67%
Marlies
42-34-4, 88pts
4
FINAL
3 Barracuda
33-38-9, 75pts
Team Stats
OTW1StreakOTL1
24-15-1Home Record16-19-5
18-19-3Away Record17-19-4
3-7-0Last 10 Games7-2-1
4.26Buts par match 3.96
4.33Buts contre par match 4.45
25.31%Pourcentage en avantage numérique25.85%
73.98%Pourcentage en désavantage numérique74.67%
Meneurs d'équipe
Buts
Brandon Kozun
42
Passes
Emil Pettersson
64
Points
William Carrier
97
Plus/Moins
Kurtis Macdermid
20
Victoires
Joni Ortio
24
Pourcentage d’arrêts
Joni Ortio
0.895

Statistiques d’équipe
Buts pour
317
3.96 GFG
Tirs pour
2671
33.39 Avg
Pourcentage en avantage numérique
25.8%
84 GF
Début de zone offensive
36.6%
Buts contre
356
4.45 GAA
Tirs contre
2756
34.45 Avg
Pourcentage en désavantage numérique
74.7%%
77 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralRoland Roberge
EntraîneurDale Hunter
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,722
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brandon KozunX100.006924777171787874737572626865582645700272950,000$
2William Carrier (R)X100.008040767170677674687867656856473945690233980,000$
3Emil Pettersson (R)X100.006428816869647371757670576554473745670233800,000$
4Kurtis Macdermid (R)X100.007961736273637664516952725550524967660231500,000$
5Cole Ully (R)X100.006237796660726970707966476546444445650222725,000$
6Justin ShuggX100.006732776070757069706369606554473345650251600,000$
7Theodor Blueger (R)X100.006635816763676873596870566547474127650233800,000$
8Chris WagnerX100.006326767058727371636465556453552645640261725,000$
9Alex Henriksson (R)X100.006932736458607268597066566946464045630222700,000$
10Kyle Platzer (R)X100.004538706946685575626963628144443821630223500,000$
11Mario Lucia (R)X100.006137686269666268635680506048483445630241700,000$
12Noah Gregor (R)X100.005633766956575859625868596241427035600191500,000$
13Eric GustafssonX100.006727807868717783507956715466523645710253990,000$
14Scott Harrington (R)X100.007133757175777471577558786560504168710242900,000$
15Samuel GroulxX100.006235697370786869497164765264542626690272975,000$
16Robin Norell (R)X100.006933806562706462386947795646464032660221500,000$
17Logan Stanley (R)X100.008043667278815055386452675042427241660191500,000$
18Jerome Gauthier-LeducX100.006143796862686467376452735450513045650251500,000$
Rayé
1Aleksi Heponiemi (R)X100.005131696055596461747363434840407923590182500,000$
2Thomas Gobeil (R)X100.006439625760596966636156496447463619580232650,000$
3Drew O'Connor (R)X100.007340595778517559536358454441416619570191500,000$
4Ben Jones (R)X100.006327714867575753616166426040406819560182500,000$
5Jacob Peterson (R)X100.005732634668616562545969375840407019560182500,000$
6Jaedon Descheneau (R)X100.004342655652626257666466374744463220560222500,000$
7Scott Reedy (R)X100.005029695961615761535364355740407220550182500,000$
8Alexei Toropchenko (R)X100.005628564857485253475367436140406820520182500,000$
9Jordan Gross (R)X100.006828666262636664406662624746503720620221600,000$
10Alex Lintuniemi (R)X100.005332686456575472256751594343435223580212700,000$
11Dennis Cholowski (R)X100.005835764754676856266560505341417319570191500,000$
MOYENNE D’ÉQUIPE100.00633472636465666655676357594846473463
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
1Joni Ortio99.00657971737574747973686456523458720261600,000$
2Joacim Eriksson100.00727170787060657369626856532543670272800,000$
Rayé
MOYENNE D’ÉQUIPE99.5069757176736770767165665653305170
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter77816664436854Can662650,000$


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
1William CarrierBarracuda (S.J)LW80385997-3140015910629110317413.06%42181622.7115264141268011102372443.48%1386238011.07510000734
2Brandon KozunBarracuda (S.J)RW80424991-334401351142779517515.16%47163920.49172037582720002863251.32%3026939021.11210000642
3Emil PetterssonBarracuda (S.J)C80236487-283001171461666815313.86%35176422.06930393126611281983249.21%26744534010.9928000226
4Eric GustafssonBarracuda (S.J)D80185977-45360120153229107987.86%152223327.92132134393031129264210.00%04760000.6901000073
5Cole UllyBarracuda (S.J)LW80313364-816092691825111217.03%21114314.293101314980112675151.56%644117001.1200000361
6Theodor BluegerBarracuda (S.J)C71213556-191808796218571339.63%18118116.6451318251790113512044.11%8323811000.9500000221
7Justin ShuggBarracuda (S.J)RW80282351-17280100771383810120.29%32129316.179413162160000244124.64%693914010.7902000111
8Kurtis MacdermidBarracuda (S.J)LW762227492032014588124357117.74%29119815.773710101521013724147.62%421325000.8211000132
9Chris WagnerBarracuda (S.J)RW8014284202009455138418210.14%1690511.310001110001101148.78%412810000.9300000100
10Alex HenrikssonBarracuda (S.J)LW8020214151407960149487513.42%1484510.570001130001841040.00%201718000.9700000223
11Samuel GroulxBarracuda (S.J)D72102434-1676010213712945517.75%115168223.374610202110002162200.00%03847000.4000000004
12Scott HarringtonBarracuda (S.J)D7642731-1377512214011943543.36%140205927.102810232600110231000.00%032108000.3000001100
13Kyle PlatzerBarracuda (S.J)C56121830-41752161102367111.76%1361711.02000030002180240.00%2901813000.9700100102
14Mario LuciaBarracuda (S.J)RW8072027-2200441911542676.09%96217.7700001000031014.29%7319000.8700000001
15Noah GregorBarracuda (S.J)C63149236180365187204516.09%186229.871233330001230046.64%2981210000.7400000120
16Robin NorellBarracuda (S.J)D803192212335871007836303.85%102159019.8823571840113169000.00%0750000.2800000010
17Logan StanleyBarracuda (S.J)D6201616670089656221270.00%61107317.310338950003104000.00%0830000.3000000002
18Jerome Gauthier-LeducBarracuda (S.J)D802911-812041875419213.70%62104613.08000119000049000.00%0639000.2100000000
19Aleksi HeponiemiBarracuda (S.J)C413698180162629101710.34%63197.79000130001220048.72%11772000.5600000000
20Jordan GrossBarracuda (S.J)D51279-122803638249148.33%3362512.2710114000018000.00%0116000.2900000000
21Drew O'ConnorBarracuda (S.J)LW42336-17403951561220.00%22796.6600000000020016.67%612000.4300000000
22Jacob PetersonBarracuda (S.J)C24213-140144121516.67%11546.43000010000100035.19%5401000.3900000000
23Alex LintuniemiBarracuda (S.J)D18011-2601073110.00%41176.5400011000010000.00%002000.1700000000
24Dennis CholowskiBarracuda (S.J)D12011-100010000.00%0211.830000000000000.00%001000.9100000000
25Ben JonesBarracuda (S.J)C12000000000000.00%010.110000000001000.00%000000.00%00000000
26Jaedon DescheneauBarracuda (S.J)RW7000000021000.00%0111.68000000000100050.00%800000.00%00000000
27Thomas GobeilBarracuda (S.J)RW12000000000000.00%040.350000100000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1575319559878-20066115178517072742932158911.63%9722487215.798415323730126073710511936301547.02%4962560596050.711032101283332
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
1Joni OrtioBarracuda (S.J)42241230.8953.452330401341281623210.786144015302
2Joacim ErikssonBarracuda (S.J)52152370.8644.592693002061510868010.476215030012
Statistiques d’équipe totales ou en moyenne943935100.8784.065023403402791149122359045314


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 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
Aleksi HeponiemiBarracuda (S.J)C181999-01-01Yes155 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Alex HenrikssonBarracuda (S.J)LW221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Alex LintuniemiBarracuda (S.J)D211996-01-01Yes214 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Alexei ToropchenkoBarracuda (S.J)RW181999-01-01Yes222 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Ben JonesBarracuda (S.J)C181999-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brandon KozunBarracuda (S.J)RW271990-01-01No167 Lbs5 ft8NoNoNo2Pro & Farm950,000$0$0$No950,000$
Chris WagnerBarracuda (S.J)RW261991-01-01No202 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$No
Cole UllyBarracuda (S.J)LW221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Dennis CholowskiBarracuda (S.J)D191998-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Drew O'ConnorBarracuda (S.J)LW191998-01-01Yes190 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Emil PetterssonBarracuda (S.J)C231994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Eric GustafssonBarracuda (S.J)D251992-01-01No176 Lbs6 ft0NoNoNo3Pro & Farm990,000$0$0$No990,000$990,000$Lien
Jacob PetersonBarracuda (S.J)C181999-01-01Yes180 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jaedon DescheneauBarracuda (S.J)RW221995-01-01Yes192 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jerome Gauthier-LeducBarracuda (S.J)D251992-01-01No192 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Joacim ErikssonBarracuda (S.J)G271990-01-01No189 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$
Joni OrtioBarracuda (S.J)G261991-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Jordan GrossBarracuda (S.J)D221995-01-01Yes190 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$NoLien
Justin ShuggBarracuda (S.J)RW251992-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$No
Kurtis MacdermidBarracuda (S.J)LW231994-01-01Yes233 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLien
Kyle PlatzerBarracuda (S.J)C221995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Logan StanleyBarracuda (S.J)D191998-01-01Yes231 Lbs6 ft7NoNoNo1Pro & Farm500,000$0$0$NoLien
Mario LuciaBarracuda (S.J)RW241993-01-01Yes204 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Noah GregorBarracuda (S.J)C191998-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Robin NorellBarracuda (S.J)D221995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Samuel GroulxBarracuda (S.J)D271990-01-01No182 Lbs6 ft2NoNoNo2Pro & Farm975,000$0$0$No975,000$
Scott HarringtonBarracuda (S.J)D241993-01-01Yes201 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Scott ReedyBarracuda (S.J)C181999-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Theodor BluegerBarracuda (S.J)C231994-01-01Yes171 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Thomas GobeilBarracuda (S.J)RW231994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
William CarrierBarracuda (S.J)LW231994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm980,000$0$0$No980,000$980,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.26191 Lbs6 ft11.77651,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonBrandon Kozun40023
2Kurtis MacdermidTheodor BluegerJustin Shugg30023
3Cole UllyKyle PlatzerChris Wagner20122
4Alex HenrikssonNoah GregorMario Lucia10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonScott Harrington40023
2Samuel GroulxRobin Norell30023
3Logan StanleyJerome Gauthier-Leduc20032
4Eric GustafssonScott Harrington10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonBrandon Kozun60023
2Kurtis MacdermidTheodor BluegerJustin Shugg40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonScott Harrington60023
2Samuel GroulxRobin Norell40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonWilliam Carrier60140
2Theodor BluegerKurtis Macdermid40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonScott Harrington60140
2Samuel GroulxRobin Norell40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Pettersson60140Eric GustafssonScott Harrington60140
2Theodor Blueger40140Samuel GroulxRobin Norell40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonWilliam Carrier60032
2Theodor BluegerKurtis Macdermid40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonScott Harrington60032
2Samuel GroulxRobin Norell40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonBrandon KozunEric GustafssonScott Harrington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonBrandon KozunEric GustafssonScott Harrington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Shugg, Cole Ully, Theodor BluegerJustin Shugg, Cole UllyJustin Shugg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robin Norell, Logan Stanley, Jerome Gauthier-LeducRobin NorellRobin Norell, Logan Stanley
Tirs de pénalité
Brandon Kozun, William Carrier, Emil Pettersson, Kurtis Macdermid, Justin Shugg
Gardien
#1 : Joni Ortio, #2 : Joacim Eriksson


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
1Admirals43000001191182100000196322000000105570.8751934530082117112121229079258205013341379517317.65%16568.75%0820181545.18%850173748.93%659140147.04%168493617357541438713
2Bears2020000059-41010000023-11010000036-300.000571200821171121258907925820506818647400.00%3166.67%0820181545.18%850173748.93%659140147.04%168493617357541438713
3Comets2010010058-31010000024-21000010034-110.250510150082117112126690792582050651910377228.57%5180.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
4Condors623001002526-1312000001112-1311001001414050.417254671008211711212203907925820501967158130401025.00%29679.31%1820181545.18%850173748.93%659140147.04%168493617357541438713
5Crunch20200000617-1110100000511-61010000016-500.000610160082117112127290792582050682018464125.00%9544.44%0820181545.18%850173748.93%659140147.04%168493617357541438713
6Devils20200000611-51010000045-11010000026-400.000610160082117112126290792582050572524394125.00%12283.33%0820181545.18%850173748.93%659140147.04%168493617357541438713
7Eagles21100000990110000005411010000045-120.500915240082117112125990792582050642814437228.57%7185.71%1820181545.18%850173748.93%659140147.04%168493617357541438713
8Griffins715000011935-16413000001221-930200001714-730.21419335200821171121224490792582050221756313538821.05%29679.31%0820181545.18%850173748.93%659140147.04%168493617357541438713
9Heat320000101394110000004312100001096361.0001320330082117112121099079258205010635186611545.45%10280.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
10Icehogs31100010151412100001010731010000057-240.6671524390082117112121099079258205010630106016425.00%50100.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
11Little Stars2110000078-1110000006421010000014-320.50071118008211711212569079258205074181040500.00%50100.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
12Marlies31100100911-2210001006601010000035-230.50091524008211711212108907925820501093328588112.50%14378.57%0820181545.18%850173748.93%659140147.04%168493617357541438713
13Monsters312000001416-220200000912-31100000054120.333142438008211711212103907925820501233820686233.33%10550.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
14Moose63101001282443110000114140320010001410490.750284775008211711212202907925820502176773117311032.26%31680.65%0820181545.18%850173748.93%659140147.04%168493617357541438713
15Penguins20100001911-21000000134-11010000067-110.25091827008211711212779079258205058248384250.00%4250.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
16Phantoms330000001596110000007342200000086261.000152439008211711212939079258205011431207216425.00%10460.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
17Punishers3210000017107110000008172110000099040.6671728450082117112121019079258205010831305712433.33%15286.67%1820181545.18%850173748.93%659140147.04%168493617357541438713
18Rampage312000001013-3211000008711010000026-420.333101828008211711212859079258205010638306512216.67%15380.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
19Reign312000001112-11010000034-12110000088020.33311203110821171121210190792582050973320638337.50%10370.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
20Rocket63100011292453200001018126311000011112-190.750295382108211711212208907925820502137454108351028.57%27581.48%0820181545.18%850173748.93%659140147.04%168493617357541438713
21Senators302000101119-810100000310-72010001089-120.333111627008211711212999079258205011340186511218.18%9544.44%0820181545.18%850173748.93%659140147.04%168493617357541438713
22Sound Tigers21100000111101010000047-31100000074320.5001119300082117112127590792582050602312569444.44%6183.33%0820181545.18%850173748.93%659140147.04%168493617357541438713
23Thunderbirds404000001221-920200000812-42020000049-500.000122335108211711212124907925820501454818869222.22%9366.67%0820181545.18%850173748.93%659140147.04%168493617357541438713
24Wolfpack2010000159-41000000145-11010000014-310.25058130082117112126090792582050692318504125.00%9455.56%0820181545.18%850173748.93%659140147.04%168493617357541438713
25Wolves2010100079-21010000025-31000100054120.500712190082117112127590792582050662510457114.29%5260.00%0820181545.18%850173748.93%659140147.04%168493617357541438713
Total80273802346317356-3940141900124167182-1540131902222150174-24750.469317545862308211711212267190792582050275690862716863258425.85%3047774.67%3820181545.18%850173748.93%659140147.04%168493617357541438713
_Since Last GM Reset80273802346317356-3940141900124167182-1540131902222150174-24750.469317545862308211711212267190792582050275690862716863258425.85%3047774.67%3820181545.18%850173748.93%659140147.04%168493617357541438713
_Vs Conference50211801244208210-225101000122106110-425118011221021002580.580208356564208211711212170190792582050174856841910372376226.16%2005075.00%1820181545.18%850173748.93%659140147.04%168493617357541438713
_Vs Division2591001113101109-81356000115559-41244011024650-4260.520101179280108211711212857907925820508472872484901443826.39%1162380.17%1820181545.18%850173748.93%659140147.04%168493617357541438713

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8075OTL131754586226712756908627168630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8027382346317356
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014190124167182
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013192222150174
Derniers 10 matchs
WLOTWOTL SOWSOL
620110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3258425.85%3047774.67%3
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
907925820508211711212
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
820181545.18%850173748.93%659140147.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168493617357541438713


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 - 2022-10-275Barracuda4Griffins5ALXXR1Sommaire du match
4 - 2022-10-3018Griffins6Barracuda4BLSommaire du match
6 - 2022-11-0131Moose5Barracuda4BLXXSommaire du match
11 - 2022-11-0656Barracuda4Rocket5ALXXSommaire du match
12 - 2022-11-0764Rocket4Barracuda5BWXXSommaire du match
15 - 2022-11-1079Condors3Barracuda2BLR1Sommaire du match
19 - 2022-11-1496Barracuda4Moose2AWSommaire du match
20 - 2022-11-15108Icehogs4Barracuda6BWSommaire du match
22 - 2022-11-17122Barracuda5Condors6ALXR1Sommaire du match
25 - 2022-11-20134Griffins7Barracuda2BLR1Sommaire du match
29 - 2022-11-24154Barracuda4Senators6ALSommaire du match
31 - 2022-11-26160Rocket6Barracuda8BWSommaire du match
32 - 2022-11-27172Barracuda4Rocket2AWSommaire du match
35 - 2022-11-30185Moose8Barracuda4BLSommaire du match
38 - 2022-12-03202Barracuda4Heat2AWSommaire du match
41 - 2022-12-06214Devils5Barracuda4BLSommaire du match
44 - 2022-12-09229Barracuda1Griffins5ALR1Sommaire du match
46 - 2022-12-11241Senators10Barracuda3BLSommaire du match
49 - 2022-12-14254Barracuda2Devils6ALSommaire du match
51 - 2022-12-16262Barracuda2Rampage6ALSommaire du match
53 - 2022-12-18273Wolfpack5Barracuda4BLXXSommaire du match
55 - 2022-12-20285Barracuda7Condors1AWR1Sommaire du match
57 - 2022-12-22293Barracuda5Monsters4AWSommaire du match
60 - 2022-12-25302Comets4Barracuda2BLSommaire du match
62 - 2022-12-27317Barracuda3Comets4ALXSommaire du match
64 - 2022-12-29327Crunch11Barracuda5BLSommaire du match
66 - 2022-12-31340Barracuda1Thunderbirds4ALSommaire du match
68 - 2023-01-02352Little Stars4Barracuda6BWSommaire du match
70 - 2023-01-04359Barracuda1Crunch6ALSommaire du match
72 - 2023-01-06372Barracuda6Penguins7ALSommaire du match
74 - 2023-01-08381Bears3Barracuda2BLSommaire du match
76 - 2023-01-10391Barracuda5Reign7ALSommaire du match
78 - 2023-01-12403Barracuda7Sound Tigers4AWSommaire du match
80 - 2023-01-14411Wolves5Barracuda2BLSommaire du match
82 - 2023-01-16421Barracuda5Icehogs7ALSommaire du match
84 - 2023-01-18430Barracuda6Phantoms5AWSommaire du match
85 - 2023-01-19439Icehogs3Barracuda4BWXXSommaire du match
89 - 2023-01-23459Barracuda3Marlies5ALSommaire du match
90 - 2023-01-24466Reign4Barracuda3BLSommaire du match
94 - 2023-01-28488Barracuda2Condors7ALR1Sommaire du match
95 - 2023-01-29493Monsters8Barracuda6BLSommaire du match
98 - 2023-02-01512Barracuda4Senators3AWXXSommaire du match
100 - 2023-02-03518Sound Tigers7Barracuda4BLSommaire du match
102 - 2023-02-05531Barracuda4Eagles5ALSommaire du match
105 - 2023-02-08544Penguins4Barracuda3BLXXSommaire du match
108 - 2023-02-11564Barracuda1Wolfpack4ALSommaire du match
109 - 2023-02-12571Admirals4Barracuda3BLXXSommaire du match
113 - 2023-02-16589Barracuda3Rocket5ALSommaire du match
115 - 2023-02-18596Rocket2Barracuda5BWSommaire du match
117 - 2023-02-20612Barracuda2Griffins4ALR1Sommaire du match
120 - 2023-02-23621Heat3Barracuda4BWSommaire du match
123 - 2023-02-26640Condors3Barracuda5BWR1Sommaire du match
127 - 2023-03-02659Barracuda5Wolves4AWXSommaire du match
129 - 2023-03-04671Phantoms3Barracuda7BWSommaire du match
131 - 2023-03-06684Barracuda6Admirals3AWSommaire du match
133 - 2023-03-08695Punishers1Barracuda8BWSommaire du match
135 - 2023-03-10703Barracuda1Little Stars4ALSommaire du match
137 - 2023-03-12719Rampage5Barracuda1BLSommaire du match
139 - 2023-03-14727Barracuda3Bears6ALSommaire du match
143 - 2023-03-18747Eagles4Barracuda5BWSommaire du match
145 - 2023-03-20755Barracuda3Thunderbirds5ALSommaire du match
148 - 2023-03-23774Thunderbirds6Barracuda4BLSommaire du match
152 - 2023-03-27796Monsters4Barracuda3BLSommaire du match
157 - 2023-04-01818Barracuda2Punishers4ALSommaire du match
159 - 2023-04-03825Rampage2Barracuda7BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2023-04-06842Barracuda7Punishers5AWSommaire du match
163 - 2023-04-07846Barracuda2Phantoms1AWSommaire du match
165 - 2023-04-09854Griffins2Barracuda4BWR1Sommaire du match
168 - 2023-04-12871Barracuda4Moose3AWXSommaire du match
170 - 2023-04-14880Thunderbirds6Barracuda4BLSommaire du match
174 - 2023-04-18901Condors6Barracuda4BLR1Sommaire du match
176 - 2023-04-20908Barracuda6Moose5AWSommaire du match
179 - 2023-04-23927Moose1Barracuda6BWSommaire du match
182 - 2023-04-26937Barracuda3Reign1AWSommaire du match
183 - 2023-04-27941Barracuda4Admirals2AWSommaire du match
185 - 2023-04-29957Griffins6Barracuda2BLR1Sommaire du match
190 - 2023-05-04978Admirals2Barracuda6BWSommaire du match
192 - 2023-05-06985Barracuda5Heat4AWXXSommaire du match
199 - 2023-05-131014Marlies2Barracuda3BWSommaire du match
205 - 2023-05-191038Marlies4Barracuda3BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance72,08136,810
Assistance PCT90.10%92.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2722 - 90.74% 80,718$3,228,729$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,661,966$ 2,019,500$ 2,019,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,803$ 1,992,123$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,959$ 0$




Barracuda Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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

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

Barracuda Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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