Barracuda

GP: 68 | W: 54 | L: 12 | OTL: 2 | P: 110
GF: 261 | GA: 130 | PP%: 19.82% | PK%: 88.89%
DG: Jean-Sebastien Champagne | Morale : 99 | Moyenne d'Équipe : 61
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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 WeiseX100.00905574748585726950646670558584192690
2Scott WilsonX100.00965575738772747364666976555657192690
3Sean KuralyX100.00905578768077787379646675556059190680
4Christopher DidomenicoX100.00735580806570706960677065557277192670
5Lawson CrouseX100.00895573807975757059606161557067192660
6Chris NeilX100.00915567708180546050565755557172192610
7Filip Chytil (R)X100.00685574726560686060606060556571192610
8Jayson MegnaX100.00605559747670676150606060555758192610
9Colby CaveX100.00655567677365736061565760557571192600
10Gabriel DumontX100.00595567706662576568555665557371192600
11Michael Bournival (A)X100.00605559726966626150606060555758192600
12Henrik Haapala (R)X100.00645577716060606250606060555555192590
13Ryan CraigX100.00605578677973765550555555556263153580
14Zack MitchellX100.00595563706864546771555561555050152580
15Ryan MurphyX100.00665574836085597225646675557776192690
16Anthony BitettoX100.00775572738073597025616171557070192670
17Jaycob MegnaX100.00685574747478756925616068557070192670
18Tim HeedX100.00665587695879668525666670557070194670
19Alex GrantX100.00605563686665796025606058555353192600
20Dylan McIlrathX100.00595559615959595925595959557371184580
Rayé
1Francis BeauvillierX100.00735579557259665550555560557776120570
2Brady Vail (R)X100.00615567646763655550555558557271120570
3Caleb HerbertX100.00605559647364545550555556557273120570
4Petr StrakaX100.00745565656866685550555555555050120560
5Jakob Forsbacka Karlsson (R)X100.00735577557161695550555555555050120550
6Christian ThomasX100.00565555555758585550555555557371120540
7Emerson EtemX100.00555555555555555550555555557275120540
8Graham Knott (R)X100.00565555555657575550555555557550120530
9Jeremy Bracco (R)X100.00565555555556565550555555555050120520
10Korbinian HolzerX100.00555555605555685525555555557474122560
11Eric GelinasX100.00555557605757595725575757556464120560
12Joey LaLeggiaX100.00555555605555695525555555555555120540
13Bryce Aneloski (R)X100.00555555605555635525555555555353120540
MOYENNE D'ÉQUIPE100.0067556767676665624658596155656516160
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 Ellis100.0071747973707071657070556866192690
2Laurent Brossoit100.0064737980676770666969557069192680
Rayé
1Jon Gillies100.0064706786686867646867556465120660
2Matt Hackett100.0055666068636364636264556063120610
MOYENNE D'ÉQUIPE100.006471717767676865676855666615666
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
1Scott WilsonBarracuda (San)C6530487828108101721391895212115.87%18118118.17817255025202251622161.50%134300001.32120011075
2Christopher DidomenicoBarracuda (San)C6830447434215341012004613815.00%7148521.84821295733310181326263.44%27900011.0000010655
3Sean KuralyBarracuda (San)RW673339723062101121612596816612.74%14140220.931121326627200051459364.05%39500001.0301110665
4Tim HeedBarracuda (San)D681753702663155885155568110.97%63147621.71820281133281344273120.00%000000.9500111552
5Dale WeiseBarracuda (San)RW68293867278201391511955413214.87%6151022.211213255935011231148058.79%158200010.8925000737
6Jaycob MegnaBarracuda (San)D6819456440721010967130376914.62%75175425.81151328943220111248300.00%000100.7300101364
7Ryan MurphyBarracuda (San)D62143852284607971110429712.73%62131321.198816762470110191210.00%000000.7900000353
8Anthony BitettoBarracuda (San)D68933422912551247610443788.65%82154322.7051217682871121209400.00%100000.5400000133
9Lawson CrouseBarracuda (San)LW681723402472101111081634411110.43%7174125.61211132830511272472055.40%28700000.4605002331
10Jayson MegnaBarracuda (San)LW681317302518101373115247311.30%8117517.290661113620241563257.76%30300000.5115002410
11Alex GrantBarracuda (San)D685182328875983132112415.63%40132319.46325161340110161110.00%000000.3500010101
12Chris NeilBarracuda (San)RW6871017269551535858163612.07%6108916.020337147000022059.13%52600000.3111001011
13Dylan McIlrathBarracuda (San)D5527971402311191210.53%183927.13123957000067100.00%000000.4600000001
14Filip ChytilBarracuda (San)C682685201116299196.90%12994.400117520000450057.05%15600000.5400000000
15Henrik HaapalaBarracuda (San)LW685386241091136121713.89%23985.851236530001981047.37%1900100.4000101001
16Zack MitchellBarracuda (San)RW25134400361071010.00%11204.820003170000000100.00%100000.6600000000
17Korbinian HolzerBarracuda (San)D91230205630133.33%910611.87112315000017000.00%000000.5600000001
18Michael BournivalBarracuda (San)LW68101-1002141225.00%0400.600000500004100.00%100000.4900000000
19Colby CaveBarracuda (San)C68000020421220.00%0560.8400006000040081.25%1600000.0000000000
20Gabriel DumontBarracuda (San)C68000000011010.00%0100.15000000000000100.00%100000.0000000000
21Eric GelinasBarracuda (San)D5000000003010.00%3357.120003500005000.00%000000.0000000000
22Ryan CraigBarracuda (San)C24000000000000.00%000.030000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne126423542766236689595125911751816525118112.94%4221845814.6083153236676333171118392287461259.96%491000220.72519449494540
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)68541020.9041.86403521012512980120.85020680132
2Cam WardSan Jose Sharks189900.9131.88108424343890010.0000180121
3Laurent BrossoitBarracuda (San)30200.9001.8266202200000.0000068000
Stats d'équipe Total ou en Moyenne89632120.9061.86518761416117070130.850208668253


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 Link
Alex GrantBarracuda (San)D271989-01-19No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
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$0$No
Bryce AneloskiBarracuda (San)D261990-04-27Yes198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
Christian ThomasBarracuda (San)LW241992-05-26No176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
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$0$No
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$0$No
Graham KnottBarracuda (San)LW201997-01-13Yes194 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Henrik HaapalaBarracuda (San)LW221994-02-28Yes165 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Jakob Forsbacka KarlssonBarracuda (San)C201996-10-31Yes183 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
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$0$No
Jeremy BraccoBarracuda (San)RW191997-03-17Yes181 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Joey LaLeggiaBarracuda (San)D241992-06-24No183 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Jon GilliesBarracuda (San)G221994-01-22No216 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
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$0$No
Lawson CrouseBarracuda (San)LW191997-06-23No210 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Matt HackettBarracuda (San)G261990-03-06No171 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Michael BournivalBarracuda (San)LW241992-05-30No195 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Nick EllisBarracuda (San)G221994-01-17No180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Petr StrakaBarracuda (San)RW241992-06-14No185 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Ryan CraigBarracuda (San)C351982-01-05No215 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
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$0$No
Sean KuralyBarracuda (San)RW231993-01-20No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Tim HeedBarracuda (San)D251991-01-27No176 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$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
3724.32194 Lbs6 ft12.32413,514$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseSean Kuraly40122
2Christopher DidomenicoJayson MegnaChris Neil30122
3Sean KuralyLawson CrouseDale Weise20122
4Jayson MegnaChris NeilLawson Crouse10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna40122
2Tim HeedAlex Grant30122
3Anthony BitettoJaycob Megna20122
4Tim HeedJaycob Megna10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseJayson Megna60122
2Christopher DidomenicoSean KuralyChris Neil40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Tim HeedAlex Grant40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sean KuralyLawson Crouse60122
2Dale WeiseJayson Megna40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Alex GrantTim Heed40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dale Weise60122Anthony BitettoJaycob Megna60122
2Lawson Crouse40122Alex GrantTim Heed40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jayson MegnaLawson Crouse60122
2Dale WeiseChris Neil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJaycob Megna60122
2Tim HeedAlex Grant40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseAnthony BitettoJaycob Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseAnthony BitettoJaycob Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawson Crouse, Dale Weise, Jayson MegnaLawson Crouse, Dale WeiseLawson Crouse
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaycob Megna, Anthony Bitetto, Tim HeedJaycob MegnaJaycob Megna, Tim Heed
Tirs de Pénalité
Dale Weise, Lawson Crouse, Jayson Megna, Chris Neil, Christopher Didomenico
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
1Condors107200010352015541000001510553100010201010160.8003560951290887962666106587022718763180174741317.57%63493.65%11346217661.86%1025175958.27%60299760.38%193714071358459810445
2Eagles8250001023230413000001014-441200010139460.375234063019088796194610658702271614697149731317.81%44490.91%01346217661.86%1025175958.27%60299760.38%193714071358459810445
3Griffins440000002381522000000104622000000134981.000234164009088796101610658702278324566317741.18%25484.00%21346217661.86%1025175958.27%60299760.38%193714071358459810445
4Gulls1062000112717105410000011655210001116115150.7502749761190887962536106587022717453106173811619.75%40587.50%01346217661.86%1025175958.27%60299760.38%193714071358459810445
5Heat1210200000452124651000002081265100000251312200.83345781230490887963846106587022725584165237801012.50%60985.00%11346217661.86%1025175958.27%60299760.38%193714071358459810445
6Rampage22000000422110000002111100000021141.00047110090887965861065870227448283920210.00%14285.71%01346217661.86%1025175958.27%60299760.38%193714071358459810445
7Reign8800000041122944000000217144400000020515161.0004176117019088796311610658702271495589196301136.67%34488.24%11346217661.86%1025175958.27%60299760.38%193714071358459810445
8Roadrunners880000004013274400000017894400000023518161.00040721120190887962596106587022715756132140481020.83%55590.91%01346217661.86%1025175958.27%60299760.38%193714071358459810445
9Stars201000106601010000045-11000001021120.5006101600908879649610658702273910204713323.08%5260.00%11346217661.86%1025175958.27%60299760.38%193714071358459810445
Total6850120014126113013134267001001186850342450004114362811100.8092614637242109088796197761065870227132043292312954549019.82%3604088.89%71346217661.86%1025175958.27%60299760.38%193714071358459810445
11Wild430001001789210001008532200000093670.875173047009088796102610658702277133507718527.78%20195.00%11346217661.86%1025175958.27%60299760.38%193714071358459810445
_Since Last GM Reset6850120014126113013134267001001186850342450004114362811100.8092614637242109088796197761065870227132043292312954549019.82%3604088.89%71346217661.86%1025175958.27%60299760.38%193714071358459810445
_Vs Conference2622200011108426613121000004921281310100011592138470.904108197305139088796823610658702274801643275091593723.27%1291489.15%11346217661.86%1025175958.27%60299760.38%193714071358459810445

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
68110SOW1261463724197713204329231295210
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6850120141261130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34267010011868
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34245004114362
Derniers 10 Matchs
WLOTWOTL SOWSOL
710020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4549019.82%3604088.89%7
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
610658702279088796
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
1346217661.86%1025175958.27%60299760.38%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
193714071358459810445


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 - 2018-11-17414Barracuda2Gulls3LXXSommaire du Match
75 - 2018-11-18421Barracuda6Reign2WSommaire du Match
78 - 2018-11-21432Barracuda5Gulls1WSommaire du Match
80 - 2018-11-23448Roadrunners3Barracuda7WSommaire du Match
81 - 2018-11-24462Roadrunners1Barracuda3WSommaire du Match
86 - 2018-11-29470Eagles4Barracuda3LSommaire du Match
89 - 2018-12-02503Gulls0Barracuda2WSommaire du Match
90 - 2018-12-03509Barracuda3Heat0WSommaire du Match
94 - 2018-12-07529Barracuda5Gulls3WSommaire du Match
95 - 2018-12-08542Barracuda4Reign1WSommaire du Match
99 - 2018-12-12558Reign0Barracuda5WSommaire du Match
101 - 2018-12-14573Reign3Barracuda5WSommaire du Match
103 - 2018-12-16591Heat0Barracuda2WSommaire du Match
108 - 2018-12-21614Stars5Barracuda4LSommaire du Match
111 - 2018-12-24643Condors4Barracuda2LSommaire du Match
115 - 2018-12-28657Barracuda7Griffins3WSommaire du Match
116 - 2018-12-29677Barracuda6Griffins1WSommaire du Match
122 - 2019-01-04696Barracuda6Heat0WSommaire du Match
123 - 2019-01-05698Heat2Barracuda4WSommaire du Match
126 - 2019-01-08715Wild2Barracuda1LXSommaire du Match
129 - 2019-01-11732Barracuda3Condors2WXXSommaire du Match
131 - 2019-01-13756Barracuda5Reign1WSommaire du Match
133 - 2019-01-15761Roadrunners1Barracuda3WSommaire du Match
137 - 2019-01-19779Gulls1Barracuda2WSommaire du Match
138 - 2019-01-20802Gulls1Barracuda4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24815Barracuda6Wild2WSommaire du Match
143 - 2019-01-25826Barracuda3Wild1WSommaire du Match
145 - 2019-01-27845Barracuda5Heat4WSommaire du Match
147 - 2019-01-29849Wild3Barracuda7WSommaire du Match
150 - 2019-02-01866Barracuda5Reign1WSommaire du Match
151 - 2019-02-02881Barracuda6Condors2WSommaire du Match
155 - 2019-02-06895Condors1Barracuda2WSommaire du Match
158 - 2019-02-09920Condors0Barracuda2WSommaire du Match
159 - 2019-02-10930Heat0Barracuda5WSommaire du Match
165 - 2019-02-16954Eagles3Barracuda0LSommaire du Match
166 - 2019-02-17971Eagles2Barracuda5WSommaire du Match
172 - 2019-02-231007Barracuda6Roadrunners0WSommaire du Match
173 - 2019-02-241014Barracuda3Roadrunners2WSommaire du Match
176 - 2019-02-271026Barracuda1Gulls2LSommaire du Match
178 - 2019-03-011037Reign3Barracuda5WSommaire du Match
179 - 2019-03-021051Barracuda3Condors1WSommaire du Match
183 - 2019-03-061071Gulls1Barracuda2WSommaire du Match
185 - 2019-03-081081Griffins1Barracuda5WSommaire du Match
186 - 2019-03-091085Griffins3Barracuda5WSommaire du Match
190 - 2019-03-131112Barracuda3Gulls2WXXSommaire du Match
192 - 2019-03-151125Barracuda6Eagles0WSommaire du Match
193 - 2019-03-161139Barracuda4Eagles3WXXSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
263,351$ 153,000$ 68,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 163,378$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 1,304$ 0$




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
136850120014126113013134267001001186850342450004114362811102614637242109088796197761065870227132043292312954549019.82%3604088.89%71346217661.86%1025175958.27%60299760.38%193714071358459810445
Total Saison Régulière6850120014126113013134267001001186850342450004114362811102614637242109088796197761065870227132043292312954549019.82%3604088.89%71346217661.86%1025175958.27%60299760.38%193714071358459810445
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