beholdershellpepitosKingspatriots

 

 


Leftovers

GP: 72 | W: 24 | L: 43 | OTL: 5 | P: 53
GF: 398 | GA: 337 | PP%: 21.37% | PK%: 72.52%
DG: Francois Bedard | Morale : 50 | Moyenne d'Équipe : 75
Prochain matchs #742 vs Pirates
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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
1Devante Smith-Pelly0XX100.00853866437758747451838369706061050830
2Jesper Fast0X100.00812172405068707348857974605443046810
3Brian Gibbons (R)0X100.00453366393366687048847779685445017790
4Scott Laughton0XX100.00825053455450777078808165705050050780
5Peter Holland0X100.00554259437258776581808156785446050780
6Cory Conacher0XXX100.00563739363445937737808458715753018770
7Matt Beleskey0X100.00855349437556646246778350666567050770
8Oscar Lindberg0XX100.00813468446552786672798260615847050770
9Tanner Kero0X100.00553479474460846579817769644642050770
10Josh Jooris0X100.00663864486449736473798165714636050760
11Matt Martin0XX100.00995743519137806442807849666072050760
12Ryan Reaves0X100.00975940479035806244787753526673050750
13Adam McQuaid0X100.00815652498859467927807171547380018820
14Tony DeAngelo (R)0X100.00524461433660808633847452734443039800
15John Gilmour (R)0X100.00532866455362788130767164643932050780
16Rob O'Gara0X100.00673769547956707630776970644943050780
17Steven Kampfer0X100.00803954535859687730756971605242050770
18Matt Bartkowski0X100.00824058536651837830767052585243050760
Rayé
1Josh Leivo0X100.00373763417251686238787956634537050730
2Boo Nieves (R)0X100.00672966537446736278816872633732050730
3Jordan Szwarz (R)0X100.00544659596452855954727459655354050730
4Brad Malone0XX100.00885346678135925846697461595348050710
5Michael Sgarbossa0X100.00624268594851815977717253645145050710
6Vinni Lettieri0X100.00673480514755786037747953643935050710
7Lias Andersson (R)0X100.00642881635355785847707362654142050710
8Steven Fogarty (R)0X100.00733169707356775631677356654142050700
9Stephen Gionta0XX100.00843672653551775853706958566355050700
10Marek Hrivik0X100.00723384656444555847707552645443050690
11Zach Sanford0X100.00514063587349595940707847683530050690
12Nicklas Jensen0X100.00493367617741655631677350725447050670
13Adam Clendening0X100.00453654485557887630767058634943050760
14Jamie McBain0X100.00321678584760836931726555565948050730
15Taylor Fedun0X100.00373359516850417430756965635045050730
MOYENNE D'ÉQUIPE100.0066386351625374674776756064524704775
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
1Marek Mazanec100.0080916478808183848480716264050830
2Brandon Halverson (R)100.0080825681808188848468712141050790
Rayé
MOYENNE D'ÉQUIPE100.008087608080818684847471425305081
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn70707070707070CAN455450,000$


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
1Oscar LindbergLeftovers (MOB)C/RW72397711625300114682688814614.55%29126817.6211304173292336121462261.33%3626620031.8313000253
2Devante Smith-PellyLeftovers (MOB)LW/RW72545911332380132612848417319.01%16105314.6371320511711015444158.93%566918042.1500000608
3Peter HollandLeftovers (MOB)C72296291345954740188789015.43%26105814.7091322481891014260064.51%1051418021.7213100142
4Scott LaughtonLeftovers (MOB)C/LW383651873446098301885310219.15%1066617.54111425351300002353167.44%434813032.6101000351
5Matt BeleskeyLeftovers (MOB)LW7246368239935152472317911519.91%32146820.398715471879312374477052.00%757716041.1212001521
6Tanner KeroLeftovers (MOB)C72254772164036981685711214.88%56112215.5811298302271951365.32%8943237011.2812000114
7Josh JoorisLeftovers (MOB)C723734713828068751956511418.97%3580211.1410111000043060.43%6904417041.7711000441
8Jesper FastLeftovers (MOB)RW622446702220078721785812713.48%4286814.00000000111490054.84%312431021.6100000122
9Matt MartinLeftovers (MOB)LW/RW722532571713925112201683010414.88%676710.6600000000031051.02%49465021.4800122101
10Tony DeAngeloLeftovers (MOB)D58123547527204421107353511.21%50120220.744263719200008110.00%01318000.7801000000
11Boo NievesLeftovers (MOB)C5974047341603314611042816.36%67104017.6400019189193820064.90%11142830010.9000000100
12Jordan SzwarzLeftovers (MOB)RW4411344536260453482375213.41%1158913.41000001123791060.00%20329021.5300000011
13Ryan ReavesLeftovers (MOB)RW7221234431184609526120497217.50%1674510.3500001000001058.97%39269021.1800156100
14Rob O'GaraLeftovers (MOB)D725323765340641129743535.15%105153321.31347181440336232000.00%0964000.4801000010
15Josh LeivoLeftovers (MOB)LW62142337292801217101365513.86%1783313.4434726151000001134.29%352111010.8900000012
16John GilmourLeftovers (MOB)D72432364132036898950474.49%105147320.4716724236011121000.00%0543010.4901000003
17Adam ClendeningLeftovers (MOB)D62416203970027624114279.76%107141522.8202241261234337000.00%0932000.2800000000
18Steven KampferLeftovers (MOB)D723172036835721125628365.36%102118216.42011041127313000.00%0556000.3401001001
19Cory ConacherLeftovers (MOB)C/LW/RW991019108011536121825.00%412814.23123423000020048.78%4170012.9700000010
20Lias AnderssonLeftovers (MOB)C284121678025235111267.84%436212.952351060000000047.41%135180000.8800000010
21Matt BartkowskiLeftovers (MOB)D725101531720954032191315.63%84133718.57000032354468000.00%0527000.2200000000
22Adam McQuaidLeftovers (MOB)D94812222952117179923.53%1521323.69000215000166000.00%0013011.1300100001
23Brian GibbonsLeftovers (MOB)LW93710720862261213.64%610611.83101616000370040.00%545001.8800000000
Stats d'équipe Total ou en Moyenne130442174311646971121105142512212829983161914.88%9452124016.29631021653962042202848116287325962.50%46406294820341.105164710262831
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
1Marek MazanecLeftovers (MOB)72244250.8724.5242066131724761339520.66712720121
2Brandon HalversonLeftovers (MOB)60100.8007.3413900178544000.0000072000
Stats d'équipe Total ou en Moyenne78244350.8704.6143466133425611383520.667127272121


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
Adam ClendeningLeftovers (MOB)D251992-10-26No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Adam McQuaidLeftovers (MOB)D311986-10-12No212 Lbs193 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Boo NievesLeftovers (MOB)C241994-01-23Yes212 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Brad MaloneLeftovers (MOB)C/LW291989-05-20No213 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien / Lien NHL
Brandon HalversonLeftovers (MOB)G221996-03-29Yes209 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Brian GibbonsLeftovers (MOB)LW301988-02-26Yes175 Lbs173 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien
Cory ConacherLeftovers (MOB)C/LW/RW281989-12-14No180 Lbs173 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Devante Smith-PellyLeftovers (MOB)LW/RW261992-06-14No223 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,300,000$0$0$NoLien / Lien NHL
Jamie McBainLeftovers (MOB)D301988-02-25No180 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien / Lien NHL
Jesper FastLeftovers (MOB)RW261991-12-02No191 Lbs183 CMNoNoNo3Avec RestrictionPro & Farm1,850,000$0$0$NoLien / Lien NHL
John GilmourLeftovers (MOB)D251993-05-17Yes195 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Jordan SzwarzLeftovers (MOB)RW271991-05-14Yes200 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Josh JoorisLeftovers (MOB)C281990-07-14No197 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Josh LeivoLeftovers (MOB)LW251993-05-26No210 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Lias AnderssonLeftovers (MOB)C191998-10-13Yes204 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,775,000$0$0$NoLien
Marek HrivikLeftovers (MOB)RW271991-08-28No197 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Marek MazanecLeftovers (MOB)G271991-07-18No187 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Matt BartkowskiLeftovers (MOB)D301988-06-04No196 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm735,000$0$0$NoLien / Lien NHL
Matt BeleskeyLeftovers (MOB)LW301988-06-07No203 Lbs183 CMNoNoNo1Sans RestrictionPro & Farm782,496$0$0$NoLien / Lien NHL
Matt MartinLeftovers (MOB)LW/RW291989-05-08No220 Lbs191 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Michael SgarbossaLeftovers (MOB)C261992-07-25No186 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Nicklas JensenLeftovers (MOB)RW251993-03-06No216 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm949,300$0$0$NoLien / Lien NHL
Oscar LindbergLeftovers (MOB)C/RW261991-10-29No202 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Peter HollandLeftovers (MOB)C271991-01-14No205 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Rob O'GaraLeftovers (MOB)D251993-07-06No215 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm450,001$0$0$NoLien
Ryan ReavesLeftovers (MOB)RW311987-01-20No225 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Scott LaughtonLeftovers (MOB)C/LW241994-05-30No190 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm962,500$0$0$NoLien / Lien NHL
Stephen GiontaLeftovers (MOB)C/RW341983-10-09No177 Lbs170 CMNoNoNo2Sans RestrictionPro & Farm1,224,000$0$0$NoLien / Lien NHL
Steven FogartyLeftovers (MOB)C251993-04-19Yes209 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Steven KampferLeftovers (MOB)D291988-09-24No195 Lbs180 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Tanner KeroLeftovers (MOB)C261992-07-24No185 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Taylor FedunLeftovers (MOB)D301988-06-04No201 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien / Lien NHL
Tony DeAngeloLeftovers (MOB)D221995-10-24Yes181 Lbs180 CMNoNoNo1Contrat d'EntréePro & Farm1,263,333$0$0$NoLien
Vinni LettieriLeftovers (MOB)C231995-02-06No195 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Zach SanfordLeftovers (MOB)LW231994-11-09No207 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3526.69200 Lbs185 CM1.77836,451$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Devante Smith-PellyPeter HollandCory Conacher26014
2Brian GibbonsTanner Kero25113
3Scott LaughtonOscar LindbergRyan Reaves25113
4Matt BeleskeyJosh JoorisMatt Martin24131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloJohn Gilmour38122
2Rob O'GaraAdam McQuaid37122
3Matt BartkowskiSteven Kampfer25122
4Rob O'GaraAdam McQuaid0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott LaughtonCory ConacherOscar Lindberg60113
2Brian GibbonsOscar LindbergDevante Smith-Pelly40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloJohn Gilmour60122
2Rob O'GaraAdam McQuaid40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tanner KeroMatt Beleskey60122
2Oscar Lindberg40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam McQuaidMatt Bartkowski60122
2Rob O'GaraSteven Kampfer40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Peter Holland60122Matt BartkowskiJohn Gilmour60122
2Oscar Lindberg40122Rob O'GaraAdam McQuaid40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandMatt Beleskey60122
2Oscar LindbergScott Laughton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam McQuaidJohn Gilmour60212
2Rob O'GaraSteven Kampfer40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Devante Smith-PellyCory ConacherOscar LindbergTony DeAngeloJohn Gilmour
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt BeleskeyPeter HollandOscar LindbergAdam McQuaidJohn Gilmour
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Kero, Josh Jooris, Devante Smith-PellyTanner Kero, Matt BeleskeyTanner Kero
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Bartkowski, Steven Kampfer, Rob O'GaraMatt BartkowskiMatt Bartkowski, Steven Kampfer
Tirs de Pénalité
Brian Gibbons, Oscar Lindberg, Cory Conacher, Tanner Kero, Josh Jooris
Gardien
#1 : Marek Mazanec, #2 : Brandon Halverson


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
1Barbarians20200000610-40000000000020200000610-400.0006121800172117105765102979080822721622445120.00%11281.82%1989157362.87%1067173761.43%770123262.50%1659107816305781061530
2Barracuda321000001312111000000211211000001111040.667132336001721171057128102979080822773639556233.33%19668.42%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
3Benchwarmers40400000718-112020000028-620200000510-500.0007111800172117105711810297908082213951586820210.00%291258.62%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
4Caribou404000001322-920200000811-320200000511-600.00013203300172117105716210297908082215560638312325.00%291065.52%1989157362.87%1067173761.43%770123262.50%1659107816305781061530
5Casse-Tete20200000616-1020200000616-100000000000000.0006101600172117105772102979080822872426287228.57%13376.92%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
6Chevalier4220000014113220000009362020000058-340.50014233700172117105715210297908082210437447412325.00%22672.73%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
7Diabotins321000001385211000007611100000062440.667132235001721171057120102979080822782145487114.29%15473.33%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
8Evil Saints404000001833-15202000001216-420200000617-1100.0001830480017211710571611029790808221875177588337.50%361850.00%1989157362.87%1067173761.43%770123262.50%1659107816305781061530
9Giants514000001837-1921100000712-5303000001125-1420.20018314900172117105717810297908082220171717827725.93%28775.00%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
10Hooligans513010002126-5302010001518-32110000068-240.40021396000172117105719810297908082219364749118422.22%33875.76%1989157362.87%1067173761.43%770123262.50%1659107816305781061530
11Hybrides41101010191452100001011652010100088060.75019315000172117105714710297908082212468567621314.29%23769.57%1989157362.87%1067173761.43%770123262.50%1659107816305781061530
12Jardiniers411001011215-32010010058-32100000177040.50012203200172117105713710297908082213353608418211.11%21385.71%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
13Pirates52000300252232100010011101310002001412270.700254267001721171057189102979080822198638911312433.33%37683.78%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
14Remparts440000001584154330000001213118110000003713681.0001582814390117211710571661029790808228443568311100.00%28292.86%11989157362.87%1067173761.43%770123262.50%1659107816305781061530
15Requins20200000613-720200000613-70000000000000.0006121800172117105772102979080822692737468225.00%16662.50%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
16Royaux4310000018144220000009632110000098160.75018304800172117105713710297908082213459656626623.08%30680.00%2989157362.87%1067173761.43%770123262.50%1659107816305781061530
17St Johns513000101620-42100001075230300000915-640.40016254100172117105716710297908082224285746811218.18%32971.88%2989157362.87%1067173761.43%770123262.50%1659107816305781061530
Total722043024213983376137131901220246160863572401201152177-25530.368398688108621172117105726381029790808222563934109313152485321.37%47313072.52%20989157362.87%1067173761.43%770123262.50%1659107816305781061530
19Werewolves40400000926-1720200000511-620200000415-1100.0009162500172117105714010297908082216056897118316.67%271062.96%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
20Zombie40400000616-102020000037-42020000039-600.0006101620172117105712910297908082212649488111218.18%24579.17%0989157362.87%1067173761.43%770123262.50%1659107816305781061530
_Since Last GM Reset722043024213983376137131901220246160863572401201152177-25530.368398688108621172117105726381029790808222563934109313152485321.37%47313072.52%20989157362.87%1067173761.43%770123262.50%1659107816305781061530
_Vs Conference371218014112761631132079012101818398175900201958015330.446276483759011721171057134510297908082213374785646791222520.49%2395776.15%14989157362.87%1067173761.43%770123262.50%1659107816305781061530
_Vs Division167100101020767140853010101392211782700000684523180.563207365572011721171057609102979080822496209231282601626.67%1052180.00%13989157362.87%1067173761.43%770123262.50%1659107816305781061530

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7253W13986881086263825639341093131521
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7220432421398337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3713191220246160
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
357241201152177
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2485321.37%47313072.52%20
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
1029790808221721171057
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
989157362.87%1067173761.43%770123262.50%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1659107816305781061530


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
2 - 2018-10-024Leftovers6Pirates7LXSommaire du Match
3 - 2018-10-0316Pirates6Leftovers5LXSommaire du Match
6 - 2018-10-0627Hooligans6Leftovers4LSommaire du Match
10 - 2018-10-1044Remparts1Leftovers39WSommaire du Match
11 - 2018-10-1152Leftovers3St Johns6LSommaire du Match
14 - 2018-10-1463Hooligans7Leftovers5LSommaire du Match
15 - 2018-10-1573Leftovers4Jardiniers3WSommaire du Match
16 - 2018-10-1676Leftovers3Giants10LSommaire du Match
19 - 2018-10-1991Caribou6Leftovers4LSommaire du Match
21 - 2018-10-21104Jardiniers6Leftovers5LXSommaire du Match
23 - 2018-10-23114Leftovers2Werewolves8LSommaire du Match
24 - 2018-10-24121Leftovers4Giants6LSommaire du Match
25 - 2018-10-25130St Johns3Leftovers4WXXSommaire du Match
28 - 2018-10-28141Leftovers6Royaux3WSommaire du Match
30 - 2018-10-30150Barracuda1Leftovers2WSommaire du Match
32 - 2018-11-01162Leftovers3Pirates4LXSommaire du Match
33 - 2018-11-02171Requins7Leftovers1LSommaire du Match
35 - 2018-11-04184Jardiniers2Leftovers0LSommaire du Match
37 - 2018-11-06188Leftovers4Barbarians5LSommaire du Match
40 - 2018-11-09201Werewolves4Leftovers3LSommaire du Match
42 - 2018-11-11210Leftovers2Barbarians5LSommaire du Match
44 - 2018-11-13222Giants8Leftovers2LSommaire du Match
46 - 2018-11-15229Leftovers4Giants9LSommaire du Match
48 - 2018-11-17241Leftovers3Jardiniers4LXXSommaire du Match
50 - 2018-11-19247Remparts0Leftovers39WSommaire du Match
52 - 2018-11-21261Hooligans5Leftovers6WXSommaire du Match
53 - 2018-11-22272Leftovers2Werewolves7LSommaire du Match
55 - 2018-11-24281Remparts2Leftovers43WSommaire du Match
58 - 2018-11-27292Leftovers2Zombie3LSommaire du Match
59 - 2018-11-28302Requins6Leftovers5LSommaire du Match
61 - 2018-11-30312Leftovers5Pirates1WSommaire du Match
63 - 2018-12-02322Giants4Leftovers5WSommaire du Match
67 - 2018-12-06340Benchwarmers4Leftovers1LSommaire du Match
69 - 2018-12-08350Leftovers3Royaux5LSommaire du Match
71 - 2018-12-10360Leftovers4Barracuda5LSommaire du Match
72 - 2018-12-11364Leftovers1Caribou6LSommaire du Match
73 - 2018-12-12370Hybrides4Leftovers5WXXSommaire du Match
76 - 2018-12-15386St Johns2Leftovers3WSommaire du Match
78 - 2018-12-17394Leftovers4St Johns5LSommaire du Match
80 - 2018-12-19405Chevalier1Leftovers5WSommaire du Match
83 - 2018-12-22417Leftovers5Hybrides4WXSommaire du Match
85 - 2018-12-24426Chevalier2Leftovers4WSommaire du Match
87 - 2018-12-26437Leftovers5Hooligans4WSommaire du Match
88 - 2018-12-27446Evil Saints7Leftovers4LSommaire du Match
91 - 2018-12-30459Leftovers2St Johns4LSommaire du Match
92 - 2018-12-31466Hybrides2Leftovers6WSommaire du Match
94 - 2019-01-02479Leftovers2Chevalier4LSommaire du Match
95 - 2019-01-03485Benchwarmers4Leftovers1LSommaire du Match
98 - 2019-01-06498Leftovers3Chevalier4LSommaire du Match
99 - 2019-01-07505Diabotins2Leftovers6WSommaire du Match
101 - 2019-01-09519Leftovers1Evil Saints10LSommaire du Match
102 - 2019-01-10526Werewolves7Leftovers2LSommaire du Match
104 - 2019-01-12537Leftovers3Benchwarmers4LSommaire du Match
106 - 2019-01-14547Diabotins4Leftovers1LSommaire du Match
109 - 2019-01-17561Casse-Tete9Leftovers4LSommaire du Match
110 - 2019-01-18567Leftovers6Diabotins2WSommaire du Match
111 - 2019-01-19575Leftovers7Barracuda6WSommaire du Match
113 - 2019-01-21585Casse-Tete7Leftovers2LSommaire du Match
116 - 2019-01-24598Leftovers1Zombie6LSommaire du Match
118 - 2019-01-26607Zombie3Leftovers1LSommaire du Match
120 - 2019-01-28621Royaux2Leftovers4WSommaire du Match
122 - 2019-01-30631Leftovers2Benchwarmers6LSommaire du Match
124 - 2019-02-01642Royaux4Leftovers5WSommaire du Match
125 - 2019-02-02646Leftovers5Evil Saints7LSommaire du Match
128 - 2019-02-05663Leftovers4Caribou5LSommaire du Match
129 - 2019-02-06665Zombie4Leftovers2LSommaire du Match
133 - 2019-02-10683Pirates4Leftovers6WSommaire du Match
135 - 2019-02-12701Caribou5Leftovers4LSommaire du Match
136 - 2019-02-13703Leftovers1Hooligans4LSommaire du Match
137 - 2019-02-14709Leftovers3Hybrides4LSommaire du Match
141 - 2019-02-18721Evil Saints9Leftovers8LSommaire du Match
143 - 2019-02-20730Leftovers37Remparts1WSommaire du Match
145 - 2019-02-22742Pirates-Leftovers-
146 - 2019-02-23749Leftovers-Remparts-
148 - 2019-02-25755Leftovers-Diabotins-
150 - 2019-02-27765Barracuda-Leftovers-
152 - 2019-03-01774Leftovers-Casse-Tete-
154 - 2019-03-03783Barbarians-Leftovers-
156 - 2019-03-05795Leftovers-Requins-
159 - 2019-03-08804Barbarians-Leftovers-
160 - 2019-03-09810Leftovers-Casse-Tete-
161 - 2019-03-10818Leftovers-Requins-



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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,324,867$ 2,927,580$ 2,339,830$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
18,071$ 2,324,867$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 19 18,071$ 343,349$




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
20168446220732444219225042297021122548616842171505212188106829244277412160413813416111260683388985451221481993918532756222.55%3235682.66%141033165662.38%987159162.04%783121764.34%2097138617146651277661
2017842439073653042455942161405313169104654282502052135141-648304530834231121017818256282685183191231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201784165205506136447-311429220440377232-155427300110359215-156321362423782432485111180555558263558248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
2018722043024213983376137131901220246160863572401201152177-2553398688108621172117105726381029790808222563934109313152485321.37%47313072.52%20989157362.87%1067173761.43%770123262.50%1659107816305781061530
Total Saison Régulière324106156021151016128012215916367620121048746582164161399409568534639-1052251280223435146124544003954796113243311231282229574344332626523108620118.51%140629379.16%553749632459.28%3871650659.50%2780474658.58%750947877122263650282543
Séries
2016954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
201640400000322-192020000037-420200000015-15033600030077292123416958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
2017514000001119-82110000076130300000413-92111829004250191654776317473569311327.27%29968.97%17710573.33%8212864.06%446765.67%12484111376734
Total Séries18612000003359-26945000002023-3927000001336-2312335386001381115612071382051159022518435044715.91%792074.68%321435560.28%24242556.94%12821858.72%437294418136251125