hellpepitosKingspatriots

 

 


Barracuda

GP: 24 | W: 10 | L: 14 | OTL: 0 | P: 20
GF: 102 | GA: 122 | PP%: 27.84% | PK%: 63.92%
DG: Dominic Joyal | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #181 vs Vagabond
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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 SPÂgeContratSalaire
1Cory Conacher0XXX100.00736871716372776050444467596465050660301780,000$
2Max Comtois (R)0X100.00869077787866677332504861754646050660211925,000$
3Nikolay Goldobin0X100.00695891816772757142474664625555050660242900,000$
4Jesper Bratt0X100.00664296916367737330524964636263050650222825,000$
5Sam Steel0X100.00634190816470867285504660255555050650221863,333$
6Brett Seney0X100.00605670775682876379414158594949050650241825,000$
7Eetu Luostarinen (R)0X100.00726785776770735974404062534444050630222925,000$
8Carter Verhaeghe (R)0X100.00725191646863815646464762255959050620252700,000$
9Filip Chlapik0X100.00875587777261825745454561535757050620232894,166$
10Ryan Poehling (R)0X100.007944947769566757334645682546460506002111,491,667$
11Evgeny Svechnikov (R)0X100.007579676879525158503939635544440505802311,075,833$
12Samuel Girard0X100.00704893885982937025453960256263050650222935,833$
13Slater Koekkoek0X100.00814777767270596131423879255758050610262925,000$
14Derrick Pouliot0X100.007763847774737858253938624362630506002611,100,000$
15Gustav Lindstrom (R)0X100.00774475727070686125403874254545050590212925,000$
16Connor Clifton0X100.00914985646468705825393977454849050590251735,000$
17Cale Fleury (R)0X100.00904694777464735325393869254747050570212883,333$
Rayé
1Timothy Gettinger0X100.00878591648574785850383869584444050660221730,000$
2Keegan Kolesar (R)0X100.00827976658272715350414169454545050650232905,000$
3Tyler Ennis0XX100.00784393855864787445504958657374050650301780,000$
4Joel Farabee (R)0X100.006781798463676467345048635349490506402021,425,000$
5Tyler Pitlick0X100.008644947775637259384847672561620506402811,000,000$
6Kerby Rychel0X100.00787282577762554750383864424848050600251725,000$
7Lean Bergmann (R)0XX100.00894689757651645126474556254545050570212925,000$
8Nick Jensen0X100.007450927470769160254238772562630506403011,080,000$
9Jonathon Merrill0X100.007643798277757058254238672567680506102821,375,000$
10Otto Leskinen (R)0X100.00646170746169745225343456384444050540232925,000$
MOYENNE D'ÉQUIPE100.0077578475706873614043426542535405062
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
1Carter Hutton100.0058737176726367586858716465050660
2Malcolm Subban100.0051545378625453556251955252050580
Rayé
1Landon Bow100.0052698986485350554747304444050580
MOYENNE D'ÉQUIPE100.005465718061575756595265535405061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Nikolay GoldobinBarracuda (ICE)LW24191837-12002535114448416.67%1556723.64681419752135952037.50%3211017111.3011000331
2Max ComtoisBarracuda (ICE)LW24161632-3220578110446114.55%1444118.413692071000011042.86%14919021.4500000201
3Cory ConacherBarracuda (ICE)C/LW/RW24121325-7180492375225516.00%1443017.95371021780001210046.15%264718001.1600000010
4Ryan PoehlingBarracuda (ICE)RW2461420-30020247628507.89%1343418.102681871000001033.33%245322010.9200000010
5Jesper BrattBarracuda (ICE)LW2491120-10091462314614.52%531213.0300000000000025.00%8898001.2800000100
6Connor CliftonBarracuda (ICE)D2451419-138049625627298.93%4449820.753691067022149100.00%0547000.7600000002
7Slater KoekkoekBarracuda (ICE)D2431619-122061524933306.12%7661925.813691784000386000.00%0467000.6100000000
8Sam SteelBarracuda (ICE)C248816060112754184214.81%935814.95000000007330163.98%261518000.8900000101
9Samuel GirardBarracuda (ICE)D2421315-10034366431313.12%3362926.211451685011693000.00%0732000.4800000000
10Derrick PouliotBarracuda (ICE)D2431013-13140212627111311.11%3149520.66235967022245100.00%0421000.5200000000
11Gustav LindstromBarracuda (ICE)D241910124030322211144.55%2231913.330000000001000.00%0222000.6300000000
12Cale FleuryBarracuda (ICE)D2409910015181813130.00%3033113.8200000000113000.00%0127000.5400000000
13Teddy BluegerIcefieldC/LW54484206121662025.00%1011422.831124111011232066.67%10595001.4000000200
14Evgeny SvechnikovBarracuda (ICE)RW24415040034141321330.77%1031713.2200000000000071.43%1417010.3200000010
15Eetu LuostarinenBarracuda (ICE)C241010007161716.67%1562.3600005000010075.00%450000.3500000000
16Filip ChlapikBarracuda (ICE)C24011100021030.00%070.310000000000000.00%020002.7100000000
17Brett SeneyBarracuda (ICE)C24101-64014815076.67%01124.7000000000000066.67%57133000.1800000000
18Carter VerhaegheBarracuda (ICE)C60002206610350.00%28313.86000000000100042.22%4554000.0000000000
Stats d'équipe Total ou en Moyenne39594157251-51162044840078832552311.93%329613015.52244771134620369274788158.81%590499317150.8211000965
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
1Carter HuttonBarracuda (ICE)24101300.8574.80136420109763454001.0003240002
2Malcolm SubbanBarracuda (ICE)30100.68310.007800134126000.0000024000
Stats d'équipe Total ou en Moyenne27101400.8485.08144220122804480001.00032424002


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brett SeneyBarracuda (ICE)C241996-02-28No156 Lbs175 CMNoNoNo1Pro & Farm825,000$589,919$0$0$NoLien / Lien NHL
Cale FleuryBarracuda (ICE)D211998-11-19Yes203 Lbs185 CMNoNoNo2Pro & Farm883,333$631,630$0$0$No883,333$Lien / Lien NHL
Carter HuttonBarracuda (ICE)G341985-12-18No202 Lbs185 CMNoNoNo1Pro & Farm650,000$464,784$0$0$NoLien / Lien NHL
Carter VerhaegheBarracuda (ICE)C251995-08-14Yes181 Lbs185 CMNoNoNo2Pro & Farm700,000$500,537$0$0$No700,000$Lien / Lien NHL
Connor CliftonBarracuda (ICE)D251995-04-28No175 Lbs180 CMNoNoNo1Pro & Farm735,000$525,564$0$0$NoLien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW301989-12-14No180 Lbs173 CMNoNoNo1Pro & Farm780,000$557,741$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D261994-01-16No208 Lbs183 CMNoNoNo1Pro & Farm1,100,000$786,559$0$0$NoLien / Lien NHL
Eetu LuostarinenBarracuda (ICE)C221998-09-02Yes179 Lbs188 CMNoNoNo2Pro & Farm925,000$661,424$0$0$No925,000$Lien NHL
Evgeny SvechnikovBarracuda (ICE)RW231996-10-31Yes212 Lbs191 CMNoNoNo1Pro & Farm1,075,833$769,278$0$0$NoLien / Lien NHL
Filip ChlapikBarracuda (ICE)C231997-06-03No196 Lbs185 CMNoNoNo2Pro & Farm894,166$639,376$0$0$No894,166$Lien / Lien NHL
Gustav LindstromBarracuda (ICE)D211998-10-20Yes187 Lbs188 CMNoNoNo2Pro & Farm925,000$661,424$0$0$No925,000$Lien NHL
Jesper BrattBarracuda (ICE)LW221998-07-30No175 Lbs178 CMNoNoNo2Pro & Farm825,000$589,919$0$0$No825,000$Lien / Lien NHL
Joel FarabeeBarracuda (ICE)LW202000-02-24Yes164 Lbs183 CMNoNoNo2Pro & Farm1,425,000$1,018,951$0$0$No1,425,000$Lien / Lien NHL
Jonathon MerrillBarracuda (ICE)D281992-02-03No205 Lbs191 CMNoNoNo2Pro & Farm1,375,000$983,198$0$0$No1,375,000$Lien
Keegan KolesarBarracuda (ICE)RW231997-04-08Yes227 Lbs188 CMNoNoNo2Pro & Farm905,000$647,123$0$0$No905,000$Lien / Lien NHL
Kerby RychelBarracuda (ICE)LW251994-10-07No213 Lbs185 CMNoNoNo1Pro & Farm725,000$518,413$0$0$NoLien
Landon BowBarracuda (ICE)G251995-08-23No214 Lbs193 CMNoNoNo1Pro & Farm697,500$498,750$0$0$NoLien / Lien NHL
Lean BergmannBarracuda (ICE)LW/RW211998-10-04Yes205 Lbs188 CMNoNoNo2Pro & Farm925,000$661,424$0$0$No925,000$Lien NHL
Malcolm SubbanBarracuda (ICE)G261993-12-21No200 Lbs188 CMNoNoNo2Pro & Farm850,000$607,795$0$0$No850,000$Lien / Lien NHL
Max ComtoisBarracuda (ICE)LW211999-01-08Yes207 Lbs188 CMNoNoNo1Pro & Farm925,000$661,424$0$0$NoLien / Lien NHL
Nick JensenBarracuda (ICE)D301990-09-20No194 Lbs183 CMNoNoNo1Pro & Farm1,080,000$772,258$0$0$NoLien / Lien NHL
Nikolay GoldobinBarracuda (ICE)LW241995-10-07No185 Lbs180 CMNoNoNo2Pro & Farm900,000$643,548$0$0$No900,000$Lien / Lien NHL
Otto LeskinenBarracuda (ICE)D231997-02-06Yes168 Lbs180 CMNoNoNo2Pro & Farm925,000$661,424$0$0$No925,000$Lien NHL
Ryan PoehlingBarracuda (ICE)RW211999-01-02Yes183 Lbs188 CMNoNoNo1Pro & Farm1,491,667$1,066,622$0$0$NoLien / Lien NHL
Sam SteelBarracuda (ICE)C221998-02-03No178 Lbs180 CMNoNoNo1Pro & Farm863,333$617,329$0$0$NoLien / Lien NHL
Samuel GirardBarracuda (ICE)D221998-05-12No162 Lbs178 CMNoNoNo2Pro & Farm935,833$669,170$0$0$No935,833$Lien / Lien NHL
Slater KoekkoekBarracuda (ICE)D261994-02-18No193 Lbs188 CMNoNoNo2Pro & Farm925,000$661,424$0$0$No925,000$Lien / Lien NHL
Timothy GettingerBarracuda (ICE)LW221998-04-14No220 Lbs198 CMNoNoNo1Pro & Farm730,000$521,989$0$0$NoLien
Tyler EnnisBarracuda (ICE)C/LW301989-10-06No161 Lbs175 CMNoNoNo1Pro & Farm780,000$557,741$0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW281991-10-31No200 Lbs188 CMNoNoNo1Pro & Farm1,000,000$715,053$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.43191 Lbs185 CM1.50925,889$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinCory Conacher40122
2Max ComtoisRyan Poehling30122
3Jesper BrattSam SteelEvgeny Svechnikov20122
4Brett SeneyNikolay Goldobin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Samuel GirardSlater Koekkoek40122
2Derrick PouliotConnor Clifton30122
3Gustav LindstromCale Fleury20122
4Samuel GirardSlater Koekkoek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinCory Conacher60122
2Max ComtoisRyan Poehling40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nikolay Goldobin60122
2Cory Conacher40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Samuel GirardSlater Koekkoek60122
2Nikolay Goldobin40122Derrick PouliotConnor Clifton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nikolay Goldobin60122
2Cory Conacher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinCory ConacherSamuel GirardSlater Koekkoek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinCory ConacherSamuel GirardSlater Koekkoek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eetu Luostarinen, Filip Chlapik, Sam SteelEetu Luostarinen, Filip ChlapikSam Steel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Lindstrom, Cale Fleury, Derrick PouliotGustav LindstromCale Fleury, Derrick Pouliot
Tirs de Pénalité
, Nikolay Goldobin, , Cory Conacher, Max Comtois
Gardien
#1 : Carter Hutton, #2 : Malcolm Subban


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
1Benchwarmers20200000213-111010000014-31010000019-800.000246003431361672682932444642612335120.00%6266.67%016945936.82%15641837.32%15539339.44%532343554192357173
2Caribou220000001073110000005321100000054141.000101626003431361712682932444662012377342.86%6266.67%016945936.82%15641837.32%15539339.44%532343554192357173
3Casse-Tete2020000049-51010000034-11010000015-400.0004711003431361862682932444653212469222.22%6350.00%016945936.82%15641837.32%15539339.44%532343554192357173
4Chevalier2110000067-11010000036-31100000031220.50061016003431361622682932444652016296233.33%8362.50%016945936.82%15641837.32%15539339.44%532343554192357173
5Diabotins220000002110111100000013581100000085341.00021355600343136174268293244479416409666.67%3233.33%016945936.82%15641837.32%15539339.44%532343554192357173
6Hooligans1010000067-1000000000001010000067-100.0006101600343136136268293244431128165120.00%4325.00%116945936.82%15641837.32%15539339.44%532343554192357173
7Hybrides20200000514-91010000034-110100000210-800.0005813003431361692682932444682420469111.11%10460.00%016945936.82%15641837.32%15539339.44%532343554192357173
8Jardiniers1010000028-61010000028-60000000000000.00023500343136133268293244446171213000.00%6266.67%016945936.82%15641837.32%15539339.44%532343554192357173
9Leftovers22000000181171100000011561100000076141.0001828460034313617326829324446930123611654.55%6266.67%016945936.82%15641837.32%15539339.44%532343554192357173
10Pirates211000006601010000035-21100000031220.50069150034313616226829324445225223912325.00%11372.73%116945936.82%15641837.32%15539339.44%532343554192357173
11Requins2020000036-31010000012-11010000024-200.000358003431361562682932444652026449111.11%13469.23%016945936.82%15641837.32%15539339.44%532343554192357173
12Royaux211000001113-2110000005411010000069-320.50011172800343136161268293244466273038300.00%15473.33%016945936.82%15641837.32%15539339.44%532343554192357173
Total2491400010102122-201248000005256-41256000105066-16200.4171021632650034313618062682932444804328196449972727.84%973563.92%316945936.82%15641837.32%15539339.44%532343554192357173
13Vagabond10000010651000000000001000001065121.00069150034313612626829324443821818500.00%3166.67%116945936.82%15641837.32%15539339.44%532343554192357173
14Werewolves1010000026-41010000026-40000000000000.00022400343136130268293244430130147114.29%000.00%016945936.82%15641837.32%15539339.44%532343554192357173
_Since Last GM Reset2491400010102122-201248000005256-41256000105066-16200.4171021632650034313618062682932444804328196449972727.84%973563.92%316945936.82%15641837.32%15539339.44%532343554192357173
_Vs Conference1147000003856-18624000002127-6523000001729-1280.36438609800343136137926829324443601369021041921.95%451664.44%016945936.82%15641837.32%15539339.44%532343554192357173
_Vs Division503000002830-23020000018153201000001015-500.0002845730034313611732682932444177782610025832.00%13653.85%016945936.82%15641837.32%15539339.44%532343554192357173

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2420L210216326580680432819644900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
249140010102122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124800005256
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
125600105066
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
972727.84%973563.92%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
26829324443431361
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
16945936.82%15641837.32%15539339.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
532343554192357173


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
1 - 2020-10-124Barracuda3Pirates1WSommaire du Match
2 - 2020-10-138Diabotins5Barracuda13WSommaire du Match
5 - 2020-10-1615Barracuda6Royaux9LSommaire du Match
7 - 2020-10-1825Hybrides4Barracuda3LSommaire du Match
9 - 2020-10-2031Barracuda3Chevalier1WSommaire du Match
12 - 2020-10-2343Benchwarmers4Barracuda1LSommaire du Match
13 - 2020-10-2445Barracuda5Caribou4WSommaire du Match
17 - 2020-10-2859Leftovers5Barracuda11WSommaire du Match
18 - 2020-10-2961Barracuda1Casse-Tete5LSommaire du Match
22 - 2020-11-0272Requins2Barracuda1LSommaire du Match
23 - 2020-11-0376Barracuda6Vagabond5WXXSommaire du Match
25 - 2020-11-0583Jardiniers8Barracuda2LSommaire du Match
27 - 2020-11-0789Barracuda6Hooligans7LSommaire du Match
29 - 2020-11-0996Werewolves6Barracuda2LSommaire du Match
32 - 2020-11-12109Pirates5Barracuda3LSommaire du Match
33 - 2020-11-13113Barracuda8Diabotins5WSommaire du Match
36 - 2020-11-16120Royaux4Barracuda5WSommaire du Match
38 - 2020-11-18130Barracuda2Hybrides10LSommaire du Match
40 - 2020-11-20136Chevalier6Barracuda3LSommaire du Match
43 - 2020-11-23148Barracuda1Benchwarmers9LSommaire du Match
44 - 2020-11-24150Caribou3Barracuda5WSommaire du Match
48 - 2020-11-28164Barracuda7Leftovers6WSommaire du Match
49 - 2020-11-29166Casse-Tete4Barracuda3LSommaire du Match
53 - 2020-12-03177Barracuda2Requins4LSommaire du Match
54 - 2020-12-04181Vagabond-Barracuda-
56 - 2020-12-06188Barracuda-Jardiniers-
58 - 2020-12-08194Hooligans-Barracuda-
60 - 2020-12-10201Barracuda-Werewolves-
63 - 2020-12-13214Barracuda-Pirates-
64 - 2020-12-14218Diabotins-Barracuda-
67 - 2020-12-17225Barracuda-Royaux-
69 - 2020-12-19235Hybrides-Barracuda-
71 - 2020-12-21241Barracuda-Chevalier-
74 - 2020-12-24253Benchwarmers-Barracuda-
75 - 2020-12-25255Barracuda-Caribou-
79 - 2020-12-29269Leftovers-Barracuda-
80 - 2020-12-30271Barracuda-Casse-Tete-
84 - 2021-01-03282Requins-Barracuda-
85 - 2021-01-04286Barracuda-Vagabond-
87 - 2021-01-06293Jardiniers-Barracuda-
89 - 2021-01-08299Barracuda-Hooligans-
91 - 2021-01-10306Werewolves-Barracuda-
94 - 2021-01-13319Pirates-Barracuda-
95 - 2021-01-14323Barracuda-Diabotins-
98 - 2021-01-17330Royaux-Barracuda-
100 - 2021-01-19340Barracuda-Hybrides-
102 - 2021-01-21346Chevalier-Barracuda-
105 - 2021-01-24358Barracuda-Benchwarmers-
106 - 2021-01-25360Caribou-Barracuda-
110 - 2021-01-29374Barracuda-Leftovers-
111 - 2021-01-30376Casse-Tete-Barracuda-
115 - 2021-02-03387Barracuda-Requins-
116 - 2021-02-04391Vagabond-Barracuda-
118 - 2021-02-06398Barracuda-Jardiniers-
120 - 2021-02-08404Hooligans-Barracuda-
122 - 2021-02-10411Barracuda-Werewolves-
125 - 2021-02-13424Barracuda-Pirates-
126 - 2021-02-14428Diabotins-Barracuda-
129 - 2021-02-17435Barracuda-Royaux-
131 - 2021-02-19445Hybrides-Barracuda-
133 - 2021-02-21451Barracuda-Chevalier-
136 - 2021-02-24463Benchwarmers-Barracuda-
137 - 2021-02-25465Barracuda-Caribou-
141 - 2021-03-01479Leftovers-Barracuda-
142 - 2021-03-02481Barracuda-Casse-Tete-
146 - 2021-03-06492Requins-Barracuda-
147 - 2021-03-07496Barracuda-Vagabond-
149 - 2021-03-09503Jardiniers-Barracuda-
151 - 2021-03-11509Barracuda-Hooligans-
153 - 2021-03-13516Werewolves-Barracuda-
156 - 2021-03-16529Pirates-Barracuda-
157 - 2021-03-17533Barracuda-Diabotins-
160 - 2021-03-20540Royaux-Barracuda-
162 - 2021-03-22550Barracuda-Hybrides-
164 - 2021-03-24556Chevalier-Barracuda-
167 - 2021-03-27568Barracuda-Benchwarmers-
168 - 2021-03-28570Caribou-Barracuda-
172 - 2021-04-01584Barracuda-Leftovers-
173 - 2021-04-02586Casse-Tete-Barracuda-
177 - 2021-04-06597Barracuda-Requins-
178 - 2021-04-07601Vagabond-Barracuda-
180 - 2021-04-09608Barracuda-Jardiniers-
182 - 2021-04-11614Hooligans-Barracuda-
184 - 2021-04-13621Barracuda-Werewolves-



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
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
798,002$ 2,777,666$ 2,448,666$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,934$ 798,002$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 133 14,934$ 1,986,222$




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
Saison Régulière
201683204801572274308-34411023013311531381542102500241121170-496327445072410082114702242075375071728011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
2017841554024542582391942112201233155112434243201221103127-245225844870615090827920630645660725256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
2018825023033304842402444132401310265101164411819020202191398011548485413380301821611353097011181036926274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
20188230430132334632125411620012111771734411423001121691482172346586932210119121103250708108088513025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20198437350511529025535422613020011771077042112203114113148-35922905087983208889107267708588849082981102568419222937625.94%3326680.12%13851178747.62%874192445.43%526111347.26%1815114320306651232614
20202491400010102122-201248000005256-41256000105066-16201021632650034313618062682932444804328196449972727.84%973563.92%316945936.82%15641837.32%15539339.44%532343554192357173
Total Saison Régulière43916121701216191417541485269219999006108697968729222062127066118775798-23414175430094763711345926034951339226844774382413114920529343158239146632422.10%175639577.51%764048857447.21%4305968544.45%2995623448.04%9391585210434358267273354
Séries
201651400000612-6211000003303030000039-62691500004111903337481856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
Total Séries51400000612-6211000003303030000039-62691500004111903337481856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329