Barracuda

GP: 21 | W: 14 | L: 7 | OTL: 0 | P: 28
GF: 73 | GA: 49 | PP%: 17.65% | PK%: 84.80%
DG: Jean-Sebastien Champagne | Morale : 61 | Moyenne d'Équipe : 61
Prochain matchs #414 vs Gulls
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Dale WeiseX100.00905574748585726950646670558584166690
2Sean KuralyX100.00905578768077787379646675556059166680
3Scott WilsonX100.00965575738772747364666976555657167680
4Christopher DidomenicoX100.00735580806570706960677065557277163660
5Ty RattieX100.00665581806672787550656761557272166660
6Lawson CrouseX100.00895573807975757059606161557067167650
7Adam ErneXX100.00725570557170706750616266557070167620
8Chris NeilX100.00915567708180546050565755557172163610
9Jayson MegnaX100.00605559747670676150606060555758166610
10Filip Chytil (R)X100.00685574726560686060606060556571163600
11Colby CaveX100.00655567677365736061565760557571166600
12Gabriel DumontX100.00595567706662576568555665557371166600
13Michael Bournival (A)X100.00605559726966626150606060555758166600
14Henrik Haapala (R)X100.00645577716060606250606060555555166590
15Ryan MurphyX100.00665574836085597225646675557776166690
16Anthony BitettoX100.00775572738073597025616171557070166670
17Jaycob MegnaX100.00685574747478756925616068557070166670
18Tim HeedX100.00665587695879668525666670557070160660
19Alex GrantX100.00605563686665796025606058555353166590
20Dylan McIlrathX100.00595559615959595925595959557371147580
Rayé
1Francis BeauvillierX100.00735579557259665550555560557776129580
2Ryan CraigX100.00605578677973765550555555556263134580
3Zack MitchellX100.00595563706864546771555561555050129580
4Brady Vail (R)X100.00615567646763655550555558557271129570
5Caleb HerbertX100.00605559647364545550555556557273129570
6Petr StrakaX100.00745565656866685550555555555050129560
7Jakob Forsbacka Karlsson (R)X100.00735577557161695550555555555050126550
8Christian ThomasX100.00565555555758585550555555557371129540
9Emerson EtemX100.00555555555555555550555555557275129540
10Graham Knott (R)X100.00565555555657575550555555557550129530
11Jeremy Bracco (R)X100.00565555555556565550555555555050129530
12Korbinian HolzerX100.00555555605555685525555555557474126560
13Eric GelinasX100.00555557605757595725575757556464129560
14Joey LaLeggiaX100.00555555605555695525555555555555129540
15Bryce Aneloski (R)X100.00555555605555635525555555555353129540
MOYENNE D'ÉQUIPE100.0067556767686665624659596155666514960
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Nick Ellis100.0071747973707071657070556866156680
2Laurent Brossoit100.0064737980676770666969557069166680
Rayé
1Jon Gillies100.0064706786686867646867556465129660
2Matt Hackett100.0055666068636364636264556063129610
MOYENNE D'ÉQUIPE100.006471717767676865676855666614566
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher67697387796378CAN465100,000$


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'ÉquipePOS GP 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
1Sean KuralyBarracuda (San)RW211112236220364492166011.96%444921.393811291160003554064.35%11500001.0201000212
2Ryan MurphyBarracuda (San)D216162212180323635114317.14%2555426.4131422112000085000.00%000000.7900000120
3Scott WilsonBarracuda (San)C211011213455784970214614.29%1146322.05358181110002510158.26%53900000.9101001421
4Christopher DidomenicoBarracuda (San)C2181119575132350153616.00%345321.614610191130005382055.43%9200000.8400010112
5Ty RattieBarracuda (San)RW21514194202335720478.77%141219.6625723114000001044.44%2700000.9200000102
6Jaycob MegnaBarracuda (San)D21612183160341333122318.18%2655226.32561124110000184100.00%000100.6500000050
7Dale WeiseBarracuda (San)RW2199187240584257163215.79%043820.89549231200000401055.58%53800000.8201000121
8Tim HeedBarracuda (San)D21212144361012174725184.26%1640219.1907734113000089000.00%000000.6900011001
9Anthony BitettoBarracuda (San)D211101114003417229204.55%1741119.601451775000057000.00%000000.5300000001
10Lawson CrouseBarracuda (San)LW21358527532364312236.98%154125.7802261020002851051.52%6600000.3001001100
11Jayson MegnaBarracuda (San)LW214377202183872010.53%628213.44000000001361157.14%2800000.5001000100
12Alex GrantBarracuda (San)D2124610280288104220.00%1236417.36000427000041100.00%000000.3300000100
13Chris NeilBarracuda (San)RW2124684354021125916.67%122010.5000009000001056.25%17600000.5400001010
14Adam ErneBarracuda (San)LW/RW1623511001031211116.67%118411.540222280000430040.00%1000000.5411000000
15Joe MorrowSan Jose SharksD8145040158219164.76%518322.921121441000028000.00%000000.5500000000
16Filip ChytilBarracuda (San)C21000-100213200.00%0381.83000170000110036.36%2200000.0000000000
17Colby CaveBarracuda (San)C21000000010010.00%020.13000010000000100.00%200000.0000000000
18Henrik HaapalaBarracuda (San)LW21000400100220.00%1552.620000500002500100.00%100000.0000000000
19Gabriel DumontBarracuda (San)C21000000000000.00%000.030000000000000.00%000000.0000000000
20Dylan McIlrathBarracuda (San)D13000000324000.00%2473.6600016000011000.00%000000.0000000000
21Michael BournivalBarracuda (San)LW21000000000000.00%000.010000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne41572130202793243043237260618740911.88%132606014.6027517823712210001478913256.56%161600100.6716024131410
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
1Nick EllisBarracuda (San)2114600.8872.30122401474170011.0006210001
2Laurent BrossoitBarracuda (San)20100.9231.5439201130000.0000021000
Stats d'équipe Total ou en Moyenne2314700.8882.28126421484300011.00062121001


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam ErneBarracuda (San)LW/RW211995-04-20No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Alex GrantBarracuda (San)D271989-01-19No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Anthony BitettoBarracuda (San)D261990-07-14No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brady VailBarracuda (San)C221994-03-11Yes185 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Bryce AneloskiBarracuda (San)D261990-04-27Yes198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Caleb HerbertBarracuda (San)C251991-10-12No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris NeilBarracuda (San)RW371979-06-18No215 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Christian ThomasBarracuda (San)LW241992-05-26No176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Christopher DidomenicoBarracuda (San)C271989-02-20No174 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Colby CaveBarracuda (San)C221994-12-26No189 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Dale WeiseBarracuda (San)RW281988-08-05No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Dylan McIlrathBarracuda (San)D241992-04-20No220 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Emerson EtemBarracuda (San)RW241992-06-16No212 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Eric GelinasBarracuda (San)D251991-05-08No215 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Filip ChytilBarracuda (San)C171999-09-05Yes179 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm0$0$No
Francis BeauvillierBarracuda (San)RW231993-10-22No181 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Gabriel DumontBarracuda (San)C261990-10-06No184 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Graham KnottBarracuda (San)LW201997-01-13Yes194 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Henrik HaapalaBarracuda (San)LW221994-02-28Yes165 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jakob Forsbacka KarlssonBarracuda (San)C201996-10-31Yes183 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Jaycob MegnaBarracuda (San)D241992-12-10No218 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Jayson MegnaBarracuda (San)LW261990-02-01No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jeremy BraccoBarracuda (San)RW191997-03-17Yes181 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joey LaLeggiaBarracuda (San)D241992-06-24No183 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Jon GilliesBarracuda (San)G221994-01-22No216 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Korbinian HolzerBarracuda (San)D281988-02-16No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Laurent BrossoitBarracuda (San)G231993-03-23No202 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Lawson CrouseBarracuda (San)LW191997-06-23No210 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Matt HackettBarracuda (San)G261990-03-06No171 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Michael BournivalBarracuda (San)LW241992-05-30No195 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Nick EllisBarracuda (San)G221994-01-17No180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Petr StrakaBarracuda (San)RW241992-06-14No185 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ryan CraigBarracuda (San)C351982-01-05No215 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ryan MurphyBarracuda (San)D231993-03-30No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Scott WilsonBarracuda (San)C241992-04-23No183 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Sean KuralyBarracuda (San)RW231993-01-20No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Tim HeedBarracuda (San)D251991-01-27No176 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Ty RattieBarracuda (San)RW231993-02-04No178 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Zack MitchellBarracuda (San)RW241993-01-06No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3924.21194 Lbs6 ft12.26437,564$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseSean Kuraly40122
2Christopher DidomenicoScott WilsonTy Rattie30122
3Scott WilsonLawson CrouseSean Kuraly20122
4Jayson MegnaChris NeilLawson Crouse10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna40122
2Ryan MurphyAlex Grant30122
3Anthony BitettoRyan Murphy20122
4Tim HeedJaycob Megna10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseSean Kuraly60122
2Christopher DidomenicoScott WilsonTy Rattie40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Tim HeedRyan Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scott WilsonLawson Crouse60122
2Sean KuralyJayson Megna40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Ryan MurphyTim Heed40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sean Kuraly60122Anthony BitettoJaycob Megna60122
2Lawson Crouse40122Ryan MurphyTim Heed40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott WilsonLawson Crouse60122
2Sean KuralyChris Neil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Tim HeedRyan Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseRyan MurphyJaycob Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseRyan MurphyJaycob Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawson Crouse, Sean Kuraly, Jayson MegnaLawson Crouse, Sean KuralyLawson Crouse
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaycob Megna, Ryan Murphy, Tim HeedRyan MurphyRyan Murphy, Tim Heed
Tirs de Pénalité
Dale Weise, Lawson Crouse, Jayson Megna, Scott Wilson, Sean Kuraly
Gardien
#1 : Nick Ellis, #2 : Laurent Brossoit


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Condors4310000017107220000009542110000085360.75017314801302220111218819422377827808635514.29%28389.29%041572557.24%32857457.14%17130955.34%599433421143243135
2Eagles30300000511-61010000025-32020000036-300.00059140030222016518819422376513415330516.67%17288.24%041572557.24%32857457.14%17130955.34%599433421143243135
3Gulls1010000013-21010000013-20000000000000.00012310302220124188194223721720184125.00%9188.89%041572557.24%32857457.14%17130955.34%599433421143243135
4Heat64200000201553210000096332100000119280.6672036560030222011851881942237125389013239717.95%32875.00%041572557.24%32857457.14%17130955.34%599433421143243135
5Rampage22000000422110000002111100000021141.0004711003022201581881942237448283920210.00%14285.71%041572557.24%32857457.14%17130955.34%599433421143243135
6Reign11000000615110000006150000000000021.0006101600302220129188194223716610252150.00%30100.00%041572557.24%32857457.14%17130955.34%599433421143243135
7Roadrunners330000001861211000000431220000001431161.00018335100302220111118819422376430495820525.00%22290.91%041572557.24%32857457.14%17130955.34%599433421143243135
8Stars10000010211000000000001000001021121.0002240030222012218819422371838213133.33%010.00%041572557.24%32857457.14%17130955.34%599433421143243135
Total211370001073492410730000033249116400010402515280.6677313020311302220160618819422374311323264321532717.65%1251984.80%041572557.24%32857457.14%17130955.34%599433421143243135
_Since Last GM Reset211370001073492410730000033249116400010402515280.6677313020311302220160618819422374311323264321532717.65%1251984.80%041572557.24%32857457.14%17130955.34%599433421143243135
_Vs Conference54100000251015321000001174220000001431180.8002545701030222011641881942237101437910126726.92%34391.18%041572557.24%32857457.14%17130955.34%599433421143243135

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2128W17313020360643113232643211
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2113700107349
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
107300003324
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
116400104025
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1532717.65%1251984.80%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
18819422373022201
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
41572557.24%32857457.14%17130955.34%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
599433421143243135


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
3 - 2018-09-079Reign1Barracuda6WSommaire du Match
4 - 2018-09-0822Barracuda4Condors0WSommaire du Match
8 - 2018-09-1231Condors3Barracuda5WSommaire du Match
11 - 2018-09-1556Barracuda4Heat3WSommaire du Match
18 - 2018-09-2292Barracuda3Heat4LSommaire du Match
19 - 2018-09-2399Heat2Barracuda5WSommaire du Match
24 - 2018-09-28115Barracuda2Rampage1WSommaire du Match
25 - 2018-09-29127Barracuda2Stars1WXXSommaire du Match
31 - 2018-10-05152Rampage1Barracuda2WSommaire du Match
34 - 2018-10-08172Heat3Barracuda1LSommaire du Match
38 - 2018-10-12189Barracuda7Roadrunners2WSommaire du Match
39 - 2018-10-13203Barracuda7Roadrunners1WSommaire du Match
46 - 2018-10-20235Roadrunners3Barracuda4WSommaire du Match
47 - 2018-10-21252Eagles5Barracuda2LSommaire du Match
52 - 2018-10-26274Barracuda2Eagles3LSommaire du Match
53 - 2018-10-27288Barracuda1Eagles3LSommaire du Match
56 - 2018-10-30299Heat1Barracuda3WSommaire du Match
60 - 2018-11-03329Barracuda4Heat2WSommaire du Match
62 - 2018-11-05339Gulls3Barracuda1LSommaire du Match
67 - 2018-11-10376Barracuda4Condors5LSommaire du Match
68 - 2018-11-11380Condors2Barracuda4WSommaire du Match
74 - 2018-11-17414Barracuda-Gulls-
75 - 2018-11-18421Barracuda-Reign-
78 - 2018-11-21432Barracuda-Gulls-
80 - 2018-11-23448Roadrunners-Barracuda-
81 - 2018-11-24462Roadrunners-Barracuda-
86 - 2018-11-29470Eagles-Barracuda-
89 - 2018-12-02503Gulls-Barracuda-
90 - 2018-12-03509Barracuda-Heat-
94 - 2018-12-07529Barracuda-Gulls-
95 - 2018-12-08542Barracuda-Reign-
99 - 2018-12-12558Reign-Barracuda-
101 - 2018-12-14573Reign-Barracuda-
103 - 2018-12-16591Heat-Barracuda-
108 - 2018-12-21614Stars-Barracuda-
111 - 2018-12-24643Condors-Barracuda-
115 - 2018-12-28657Barracuda-Griffins-
116 - 2018-12-29677Barracuda-Griffins-
122 - 2019-01-04696Barracuda-Heat-
123 - 2019-01-05698Heat-Barracuda-
126 - 2019-01-08715Wild-Barracuda-
129 - 2019-01-11732Barracuda-Condors-
131 - 2019-01-13756Barracuda-Reign-
133 - 2019-01-15761Roadrunners-Barracuda-
137 - 2019-01-19779Gulls-Barracuda-
138 - 2019-01-20802Gulls-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24815Barracuda-Wild-
143 - 2019-01-25826Barracuda-Wild-
145 - 2019-01-27845Barracuda-Heat-
147 - 2019-01-29849Wild-Barracuda-
150 - 2019-02-01866Barracuda-Reign-
151 - 2019-02-02881Barracuda-Condors-
155 - 2019-02-06895Condors-Barracuda-
158 - 2019-02-09920Condors-Barracuda-
159 - 2019-02-10930Heat-Barracuda-
165 - 2019-02-16954Eagles-Barracuda-
166 - 2019-02-17971Eagles-Barracuda-
172 - 2019-02-231007Barracuda-Roadrunners-
173 - 2019-02-241014Barracuda-Roadrunners-
176 - 2019-02-271026Barracuda-Gulls-
178 - 2019-03-011037Reign-Barracuda-
179 - 2019-03-021051Barracuda-Condors-
183 - 2019-03-061071Gulls-Barracuda-
185 - 2019-03-081081Griffins-Barracuda-
186 - 2019-03-091085Griffins-Barracuda-
190 - 2019-03-131112Barracuda-Gulls-
192 - 2019-03-151125Barracuda-Eagles-
193 - 2019-03-161139Barracuda-Eagles-



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

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
100,888$ 170,650$ 85,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 63,791$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 1,395$ 170,190$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
13211370001073492410730000033249116400010402515287313020311302220160618819422374311323264321532717.65%1251984.80%041572557.24%32857457.14%17130955.34%599433421143243135
Total Saison Régulière211370001073492410730000033249116400010402515287313020311302220160618819422374311323264321532717.65%1251984.80%041572557.24%32857457.14%17130955.34%599433421143243135
Séries
1262400000614-83120000036-33120000038-546111701131110243212810159491201474349.30%47589.36%08319143.46%8321039.52%338638.37%14493172528138
1262400000614-83120000036-33120000038-546111701131110243212810159491201474349.30%47589.36%08319143.46%8321039.52%338638.37%14493172528138
Total Séries1248000001228-1662400000612-662400000616-10812223402262220486425620318982402948689.30%941089.36%016638243.46%16642039.52%6617238.37%28918734510516376