Connexion

Barracuda
GP: 10 | W: 4 | L: 3 | OTL: 3 | P: 11
GF: 36 | GA: 34 | PP%: 25.81% | PK%: 76.09%
DG: Steve Rioux | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #163 vs Silver Knights
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Centre de jeu
Wranglers
7-4-0, 14pts
5
FINAL
4 Barracuda
4-3-3, 11pts
Team Stats
W1StreakL1
4-1-0Home Record2-1-2
3-3-0Away Record2-2-1
6-4-0Last 10 Games4-3-3
2.73Buts par match 3.60
3.18Buts contre par match 3.40
13.46%Pourcentage en avantage numérique25.81%
71.88%Pourcentage en désavantage numérique76.09%
Barracuda
4-3-3, 11pts
5
FINAL
7 Canucks
5-4-1, 11pts
Team Stats
L1StreakL1
2-1-2Home Record3-2-0
2-2-1Away Record2-2-1
4-3-3Last 10 Games5-4-1
3.60Buts par match 3.70
3.40Buts contre par match 3.80
25.81%Pourcentage en avantage numérique21.95%
76.09%Pourcentage en désavantage numérique85.71%
Barracuda
4-3-3, 11pts
2022-08-02
Silver Knights
3-6-0, 6pts
Statistiques d’équipe
L1SéquenceW1
2-1-2Fiche domicile1-4-0
2-2-1Fiche visiteur2-2-0
4-3-310 derniers matchs3-6-0
3.60Buts par match 3.22
3.40Buts contre par match 4.00
25.81%Pourcentage en avantage numérique20.00%
76.09%Pourcentage en désavantage numérique80.85%
Silver Knights
3-6-0, 6pts
2022-08-03
Barracuda
4-3-3, 11pts
Statistiques d’équipe
W1SéquenceL1
1-4-0Fiche domicile2-1-2
2-2-0Fiche visiteur2-2-1
3-6-010 derniers matchs4-3-3
3.22Buts par match 3.60
4.00Buts contre par match 3.40
20.00%Pourcentage en avantage numérique25.81%
80.85%Pourcentage en désavantage numérique76.09%
Barracuda
4-3-3, 11pts
2022-08-04
Reign
4-5-2, 10pts
Statistiques d’équipe
L1SéquenceW4
2-1-2Fiche domicile2-1-2
2-2-1Fiche visiteur2-4-0
4-3-310 derniers matchs4-4-2
3.60Buts par match 3.36
3.40Buts contre par match 3.45
25.81%Pourcentage en avantage numérique25.00%
76.09%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Victoires
Marcus Hogberg
4
Pourcentage d’arrêts
Jon Gillies
0.937

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
329
32.90 Avg
Pourcentage en avantage numérique
25.8%
8 GF
Début de zone offensive
37.2%
Buts contre
34
3.40 GAA
Tirs contre
387
38.70 Avg
Pourcentage en désavantage numérique
76.1%
11 GA
Début de la zone défensive
45.3%
Information d’équipe

Directeur généralSteve Rioux
EntraîneurJacques Lemaire
DivisionPACIFIQUE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 55
Espoirs22


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
1Jan Jenik0X100.00744371687484856970647159726263050710222902,500$
2Alexander Nylander0XX100.00634194846862806833706861756060050710242913,000$
3Kyle Rau0X100.00673883656685826372646568627069050700292750,000$
4Jasper Weatherby0X100.00774276629179806378656261636466050700242925,000$
5Brendan Perlini0X100.007542866486717064536268556466680506902611,028,000$
6Lean Bergmann0X100.00834680628169726364626057626563050680231900,000$
7Linus Sandin0X100.00633887598077686356615864626668050670261750,000$
8David Gustafsson0X100.006738935680797457765859625663640506602231,803,000$
9Pascal Laberge0X100.00633986637280736254586156636567050660241863,333$
10Simon Ryfors0X100.00603886626981946172605657626567050660252800,000$
11Mason Primeau0X100.00814277559061765764565259536163050650212825,000$
12Justin Scott0X100.00693764557880795663585759556769050650271786,000$
13Jake Bean0X100.005735877376898672307463685364650507302432,799,000$
14Philippe Myers0X100.008034796791867866306859705265670507302523,895,000$
15Nicolas Meloche0X100.008643756386828562306459675065660507102542,500,000$
16Thomas Schemitsch0X100.007734796086709158306054584966680506702511,847,000$
17Christian Jaros0X100.007672875988787158306056614865660506702611,000,000$
18Leon Gawanke0X100.00663884597577895430615657526365050650233810,000$
Rayé
1Zachary Gallant0X100.00693762587872805762565355546365050640231786,667$
2Jake McGrew0X100.00593878546981835559565853586365050630231855,000$
3Justin Barron0X100.006738916879837567306664615361630507002031,158,333$
4Philip Broberg0X100.007039816983817968306759635261630507002141,713,333$
5Victor Berglund0X100.00583879596771745330585654456365050620232850,833$
MOYENNE D’ÉQUIPE100.0070408163797779625062606057646505068
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
1Marcus Hogberg100.0078828594777678777678777478050810271900,000$
2Jon Gillies100.0077767797767577767577766881050790282850,000$
Rayé
1Akira Schmid100.0072797890717072717072716267050740223925,000$
MOYENNE D’ÉQUIPE100.007679809475747675747675687505078
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Lemaire75757575757575CAN7340$


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
1Alexander NylanderBarracuda (SAN)LW/RW10651150032548103512.50%220320.331236211013231018.75%1600001.0811000111
2Jake BeanBarracuda (SAN)D10189-2400181711175.88%1425125.19033623000036000.00%000000.7100000000
3Kyle RauBarracuda (SAN)C1072934014383292521.87%420320.391016160002240150.83%24000000.8800000120
4Jan JenikBarracuda (SAN)RW1027948021194110344.88%223123.161126220111301046.59%8800000.7801000010
5Linus SandinBarracuda (SAN)RW10189420107264183.85%519619.620443250000120029.41%1700000.9200000000
6Brendan PerliniBarracuda (SAN)LW1035841202892481612.50%219419.472245250000100042.86%1400000.8200000002
7Nicolas MelocheBarracuda (SAN)D1026891202514123916.67%1521121.19112524000037000.00%000000.7500000001
8Philippe MyersBarracuda (SAN)D1017802203513246124.17%1324324.370001223000026000.00%000000.6600000001
9Jasper WeatherbyBarracuda (SAN)C104374202618206920.00%221221.261234220001350143.14%29900000.6601000200
10Lean BergmannBarracuda (SAN)C10235-3401818263207.69%114414.4000000000110050.58%17200000.6900000000
11Pascal LabergeBarracuda (SAN)C10314-3003101431121.43%114214.2700000000000066.67%900000.5600000001
12Thomas SchemitschBarracuda (SAN)D613470012681312.50%1412921.53101416011023100.00%000000.6200000010
13Christian JarosBarracuda (SAN)D10134-380161311469.09%1216216.2500008000016000.00%000000.4900000100
14Simon RyforsBarracuda (SAN)C10134-4202162110254.76%218718.7001118000000053.33%9000000.4300000010
15Justin BarronBarracuda (SAN)D4011440450220.00%55814.620000000002000.00%000000.3400000000
16Philip BrobergBarracuda (SAN)D4011220142230.00%36115.390000000000000.00%000000.3200000000
17David GustafssonBarracuda (SAN)C10000000100000.00%080.870000100000000.00%000000.0000000000
18Mason PrimeauBarracuda (SAN)C10000-100100000.00%1141.48000000000130052.63%1900000.0000000000
19Leon GawankeBarracuda (SAN)D6000-760333230.00%59115.230000000008000.00%000000.0000000000
20Justin ScottBarracuda (SAN)C10000000000010.00%010.190000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1803566101239202232363299424910.64%103295216.40816245824012383033247.41%96400000.6813000566
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
1Marcus HogbergBarracuda (SAN)104230.9103.3657201323550001.0003100101
2Jon GilliesBarracuda (SAN)10100.9373.4335002320000.0000010000
Statistiques d’équipe totales ou en moyenne114330.9123.3660701343870001.00031010101


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond 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
Akira SchmidBarracuda (SAN)G222000-05-12No205 Lbs6 ft5NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Alexander NylanderBarracuda (SAN)LW/RW241998-03-01No180 Lbs6 ft1NoNoNo2Pro & Farm913,000$913,000$750,000$0$0$No913,000$Lien
Brendan PerliniBarracuda (SAN)LW261996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm1,028,000$1,028,000$650,000$0$0$NoLien
Christian JarosBarracuda (SAN)D261996-04-02No222 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$525,000$0$0$NoLien
David GustafssonBarracuda (SAN)C222000-04-11No196 Lbs6 ft2NoNoNo3Pro & Farm1,803,000$1,803,000$1,583,500$0$0$No1,803,000$1,803,000$Lien
Jake BeanBarracuda (SAN)D241998-06-09No176 Lbs6 ft1NoNoNo3Pro & Farm2,799,000$2,799,000$2,440,083$0$0$No2,799,000$2,799,000$Lien
Jake McGrewBarracuda (SAN)RW231999-02-25No185 Lbs5 ft11NoNoNo1Pro & Farm855,000$855,000$855,000$0$0$NoLien
Jan JenikBarracuda (SAN)RW222000-09-15No185 Lbs6 ft1NoNoNo2Pro & Farm902,500$902,500$902,500$0$0$No902,500$Lien
Jasper WeatherbyBarracuda (SAN)C241998-01-22No222 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Jon GilliesBarracuda (SAN)G281994-01-22No223 Lbs6 ft6NoNoNo2Pro & Farm850,000$850,000$850,000$0$0$No850,000$Lien
Justin BarronBarracuda (SAN)D202001-11-15No195 Lbs6 ft2NoNoNo3Pro & Farm1,158,333$1,158,333$700,000$0$0$No1,158,333$1,158,333$Lien
Justin ScottBarracuda (SAN)C271995-08-13No202 Lbs6 ft1NoNoNo1Pro & Farm786,000$786,000$650,000$0$0$NoLien
Kyle RauBarracuda (SAN)C291992-10-24No171 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Lean BergmannBarracuda (SAN)C231998-10-04No205 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$900,000$0$0$NoLien
Leon GawankeBarracuda (SAN)D231999-05-31No186 Lbs6 ft1NoNoNo3Pro & Farm810,000$810,000$796,670$0$0$No845,000$845,000$Lien
Linus SandinBarracuda (SAN)RW261996-05-19No209 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Marcus HogbergBarracuda (SAN)G271994-11-25No222 Lbs6 ft5NoNoNo1Pro & Farm900,000$900,000$650,000$0$0$NoLien
Mason PrimeauBarracuda (SAN)C212001-07-28No205 Lbs6 ft5NoNoNo2Pro & Farm825,000$825,000$825,000$0$0$No825,000$Lien
Nicolas MelocheBarracuda (SAN)D251997-07-18No211 Lbs6 ft3NoNoNo4Pro & Farm2,500,000$2,500,000$2,500,000$0$0$No2,500,000$2,500,000$2,500,000$Lien
Pascal LabergeBarracuda (SAN)C241998-04-09No172 Lbs6 ft1NoNoNo1Pro & Farm863,333$863,333$650,000$0$0$NoLien
Philip BrobergBarracuda (SAN)D212001-06-25No199 Lbs6 ft3NoNoNo4Pro & Farm1,713,333$1,713,333$700,000$0$0$No1,713,333$1,713,333$1,713,333$Lien
Philippe MyersBarracuda (SAN)D251997-01-25No210 Lbs6 ft5NoNoNo2Pro & Farm3,895,000$3,895,000$3,226,667$0$0$No3,895,000$Lien
Simon RyforsBarracuda (SAN)C251997-08-16No181 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$800,000$0$0$No800,000$Lien
Thomas SchemitschBarracuda (SAN)D251996-10-26No200 Lbs6 ft4NoNoNo1Pro & Farm1,847,000$1,847,000$1,568,500$0$0$NoLien
Victor BerglundBarracuda (SAN)D231999-08-02No165 Lbs6 ft0NoNoNo2Pro & Farm850,833$850,833$700,000$0$0$No850,833$Lien
Zachary GallantBarracuda (SAN)C231999-03-06No188 Lbs6 ft2NoNoNo1Pro & Farm786,667$786,667$786,667$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.15197 Lbs6 ft21.961,236,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderJasper WeatherbyJan Jenik30122
2Brendan PerliniKyle RauLinus Sandin30122
3Simon RyforsLean BergmannPascal Laberge24122
4Jan JenikSimon RyforsAlexander Nylander16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersJake Bean30122
2Nicolas MelocheThomas Schemitsch30122
3Christian JarosLeon Gawanke24122
4Philippe MyersJake Bean16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderJasper WeatherbyJan Jenik50122
2Brendan PerliniKyle RauLinus Sandin50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersJake Bean50122
2Nicolas MelocheThomas Schemitsch50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jan JenikAlexander Nylander50122
2Jasper WeatherbyKyle Rau50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersJake Bean50122
2Nicolas MelocheThomas Schemitsch50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jan Jenik50122Philippe MyersJake Bean50122
2Alexander Nylander50122Nicolas MelocheThomas Schemitsch50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jan JenikAlexander Nylander50122
2Jasper WeatherbyKyle Rau50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersJake Bean50122
2Nicolas MelocheThomas Schemitsch50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderJasper WeatherbyJan JenikPhilippe MyersJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderJasper WeatherbyJan JenikPhilippe MyersJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Gustafsson, Justin Scott, Mason PrimeauDavid Gustafsson, Justin ScottMason Primeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Jaros, Leon Gawanke, Nicolas MelocheChristian JarosLeon Gawanke, Nicolas Meloche
Tirs de pénalité
Jan Jenik, Alexander Nylander, Jasper Weatherby, Kyle Rau, Brendan Perlini
Gardien
#1 : Marcus Hogberg, #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Jan Jenik, Alexander Nylander, Jasper Weatherby, Kyle Rau, Brendan Perlini, Lean Bergmann, Lean Bergmann, Linus Sandin, Simon Ryfors, Pascal Laberge, David Gustafsson
Lignes de défense personnalisées en prolongation
Philippe Myers, Jake Bean, Nicolas Meloche, Thomas Schemitsch, Christian Jaros


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
1Canucks1010000057-2000000000001010000057-200.00051015001612714910912687104714816300.00%4175.00%017935350.71%20042946.62%7816646.99%2381632427512863
2Condors2000020057-21000010023-11000010034-120.500591400161271431091268710921926472150.00%13469.23%017935350.71%20042946.62%7816646.99%2381632427512863
3Firebirds21000010862110000004311000001043141.0008132100161271801091268710552612488337.50%6183.33%017935350.71%20042946.62%7816646.99%2381632427512863
4Gulls2020000037-41010000014-31010000023-100.0003580016127157109126871074112645700.00%13376.92%017935350.71%20042946.62%7816646.99%2381632427512863
5Reign11000000422110000004220000000000021.00048120016127137109126871028114184250.00%2150.00%017935350.71%20042946.62%7816646.99%2381632427512863
6Wranglers2100010011561000010045-11100000070730.75011213201161271631091268710912216497228.57%8187.50%117935350.71%20042946.62%7816646.99%2381632427512863
Total10330031036342521002001517-25120011021174110.55036661020116127132910912687103871039222331825.81%461176.09%117935350.71%20042946.62%7816646.99%2381632427512863
_Since Last GM Reset10330031036342521002001517-25120011021174110.55036661020116127132910912687103871039222331825.81%461176.09%117935350.71%20042946.62%7816646.99%2381632427512863
_Vs Conference10330031036342521002001517-25120011021174110.55036661020116127132910912687103871039222331825.81%461176.09%117935350.71%20042946.62%7816646.99%2381632427512863
_Vs Division10330031036342521002001517-25120011021174110.55036661020116127132910912687103871039222331825.81%461176.09%117935350.71%20042946.62%7816646.99%2381632427512863

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011L136661023293871039222301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103303103634
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52102001517
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51201102117
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31825.81%461176.09%1
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
1091268710161271
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
17935350.71%20042946.62%7816646.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2381632427512863


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 - 2022-07-176Barracuda2Gulls3ALSommaire du match
2 - 2022-07-1821Gulls4Barracuda1BLSommaire du match
4 - 2022-07-2036Condors3Barracuda2BLXSommaire du match
6 - 2022-07-2256Barracuda3Condors4ALXSommaire du match
7 - 2022-07-2363Barracuda7Wranglers0AWSommaire du match
9 - 2022-07-2583Reign2Barracuda4BWSommaire du match
11 - 2022-07-27106Firebirds3Barracuda4BWSommaire du match
12 - 2022-07-28118Barracuda4Firebirds3AWXXSommaire du match
14 - 2022-07-30138Wranglers5Barracuda4BLXSommaire du match
15 - 2022-07-31144Barracuda5Canucks7ALSommaire du match
17 - 2022-08-02163Barracuda-Silver Knights-
18 - 2022-08-03178Silver Knights-Barracuda-
19 - 2022-08-04187Barracuda-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22 - 2022-08-07219Canucks-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,213,599$ 2,690,959$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Barracuda Leaders statistiques (saison régulière)

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

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


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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