hellpepitosKingspatriots

 

 


Jardiniers

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 58 | GA: 19 | PP%: 10.53% | PK%: 84.62%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 68
Prochain matchs #48 vs Requins
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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
1Kevin Labanc0X100.00522757284967928040848458785446050740
2Riley Sheahan0X100.00592473448066796782788175755945050720
3Jared McCann0XX100.00603063355367757571808371784848050720
4Jakub Vrana0X100.00492466335962927646818455765644050720
5Zack Kassian0X100.00824639408465676933778167746366050710
6Jake Virtanen0X100.00813049368165737237778257794947050700
7Lawson Crouse0X100.00883950408358797044788164644356050700
8Josh Leivo0X100.00463066346364717242778156744847050690
9Joel Eriksson Ek0X100.00801764416861756873778068654642050690
10Tomas Nosek0X100.00742462427956726864778070645745050690
11Joshua Ho-Sang0X100.00291770494168856033747963714536050660
12Sonny Milano0X100.00521671365749757230768251734335050660
13Brett Ritchie0X100.00863334438446646534737951715554050650
14Tomas Jurco0X100.00402571595958735932677665736146050630
15Nikita Zadorov0X100.00893537468966708127817566605151050710
16Madison Bowey0X100.00732946486554888030827548654964050700
17Marcus Pettersson0X100.00641456455059888278857665654837050700
18Greg Pateryn0X100.00813160488665777931807369625257050700
19Connor Carrick0X100.00573559455858708328837747645156050700
20Mirco Mueller0X100.00652671497664677929827567654846050700
21Ian McCoshen0X100.00843054488152797830777445664047050670
22Seb Aho0X100.00391378594359936831737062723840050650
23Roland McKeown0X100.00353074596049826731726954684662050640
24David Warsofsky0X100.00282481584045776830737156665452050630
Rayé
1Matthew Highmore0XX100.00341885675056795731657267674149050610
2Vladislav Kamenev0X100.00602659536140296057697756673843050590
3Danny O'Regan0X100.00331881644546815734666965674139050590
4Kristian Vesalainen (R)0X100.00312083686930835631657662683937050580
5Kyle Rau0X100.00542585694035845733667364664553050580
6Hudson Fasching0X100.00342380637144805630647069674342050570
7Dante Fabbro (R)0X100.00432183595143826931727149683243050620
MOYENNE D'ÉQUIPE100.0057266549645577694075776169484805067
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
1Adin Hill100.0083908381829086879055655159050790
2Alex Lyon100.0082948077818684858852625069050780
3Jon Gillies100.0082898480818586848952604966050780
Rayé
1Marcus Hogberg (R)100.0081938178818284838851603554050760
MOYENNE D'ÉQUIPE100.008292827981868585895362466205078
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'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
1Josh LeivoJardiniers (WPT)LW612102214401153251937.50%510317.320002700000000.00%032014.2300000100
2Kevin LabancJardiniers (WPT)RW6612181720452561524.00%714524.240003130221290052.43%10331012.4811000010
3Marcus PetterssonJardiniers (WPT)D64121622401010132430.77%1012821.38000612011019100.00%017012.4900000010
4Nikita ZadorovJardiniers (WPT)D651116131201811167831.25%313021.73000518000016000.00%054012.4500000000
5Jakub VranaJardiniers (WPT)LW6410141400351711323.53%312320.650112131011340033.33%952012.2611000000
6Jared McCannJardiniers (WPT)C/LW639121240314214714.29%410016.830117130002101070.19%10431002.3800000000
7Joel Eriksson EkJardiniers (WPT)C6741170015122341330.43%18313.8700000000000065.45%5521012.6400000000
8Jake VirtanenJardiniers (WPT)RW646106401312061120.00%28414.0600000000000066.67%310012.3700000000
9Connor CarrickJardiniers (WPT)D6551021954193555.56%39515.951013500006000.00%050012.0900001001
10Mirco MuellerJardiniers (WPT)D61564204575114.29%36410.730000000000000.00%003001.8600000000
11Lawson CrouseJardiniers (WPT)RW6044340304350.00%0315.19000000000000100.00%321002.5700000000
12Madison BoweyJardiniers (WPT)D6033280821410.00%411018.46000011000018000.00%017000.5400000000
13Riley SheahanJardiniers (WPT)C312310001094411.11%25919.92101210000070061.54%3901001.0000000000
14Sonny MilanoJardiniers (WPT)LW62133201061133.33%0294.93000000000000100.00%111002.0300000000
15Tomas NosekJardiniers (WPT)LW32131004381625.00%04816.240111100000000100.00%530001.2300000010
16Zack KassianJardiniers (WPT)RW3022120837340.00%04916.4001111000000000.00%000000.8100000001
17Seb AhoJardiniers (WPT)D6011-100032400.00%1345.690000000000000.00%000000.5900000000
18Ian McCoshenJardiniers (WPT)D6011-100510010.00%0345.690000000000000.00%012000.5900000000
19Greg PaterynJardiniers (WPT)D31012004662016.67%26020.3100007101112000.00%014000.3300000000
20Roland McKeownJardiniers (WPT)D6000000010000.00%010.250000000000000.00%000000.0000000000
21Brett RitchieJardiniers (WPT)RW6000000000000.00%000.160000000000000.00%000000.0000000000
22Tomas JurcoJardiniers (WPT)RW6000-100010000.00%071.1800000000040050.00%600000.0000000000
23Joshua Ho-SangJardiniers (WPT)RW6000000002000.00%030.6400000000000050.00%200000.0000000000
24David WarsofskyJardiniers (WPT)D3000100000000.00%462.080000000005000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1295799156141575118992286511825.00%54153811.932463213323551642062.12%3303737082.0322001132
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
1Adin HillJardiniers (WPT)63300.8983.12365011918699001.000260110
Stats d'équipe Total ou en Moyenne63300.8983.12365011918699001.000260110


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
Adin HillJardiniers (WPT)G231996-05-11No202 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Alex LyonJardiniers (WPT)G261992-12-09No201 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW261993-07-01No220 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm1,750,000$0$0$NoLien / Lien NHL
Connor CarrickJardiniers (WPT)D251994-04-13No192 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C251994-01-30No180 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Dante FabbroJardiniers (WPT)D211998-06-20Yes189 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
David WarsofskyJardiniers (WPT)D291990-05-30No170 Lbs175 CMNoNoNo1Sans RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Greg PaterynJardiniers (WPT)D291990-06-20No223 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW241995-07-28No204 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm874,125$0$0$NoLien / Lien NHL
Ian McCoshenJardiniers (WPT)D241995-08-05No217 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,025,000$0$0$NoLien / Lien NHL
Jake VirtanenJardiniers (WPT)RW231996-08-17No226 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Jakub VranaJardiniers (WPT)LW231996-02-28No197 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,363,333$0$0$NoLien
Jared McCannJardiniers (WPT)C/LW231996-05-31No185 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C221997-01-29No208 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,106,666$0$0$NoLien / Lien NHL
Jon GilliesJardiniers (WPT)G251994-01-22No223 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Josh LeivoJardiniers (WPT)LW261993-05-26No192 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Joshua Ho-SangJardiniers (WPT)RW231996-01-22No173 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,075,833$0$0$NoLien / Lien NHL
Kevin LabancJardiniers (WPT)RW231995-12-12No185 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Kristian VesalainenJardiniers (WPT)LW201999-06-01Yes207 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Kyle RauJardiniers (WPT)C261992-10-24No176 Lbs173 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Lawson CrouseJardiniers (WPT)RW221997-06-23No220 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm1,602,500$0$0$NoLien / Lien NHL
Madison BoweyJardiniers (WPT)D241995-04-22No198 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Marcus HogbergJardiniers (WPT)G241994-11-25Yes209 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien
Marcus PetterssonJardiniers (WPT)D231996-05-08No177 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Matthew HighmoreJardiniers (WPT)C/LW231996-02-27No188 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Mirco MuellerJardiniers (WPT)D241995-03-21No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Nikita ZadorovJardiniers (WPT)D241995-04-16No230 Lbs196 CMNoNoNo3Avec RestrictionPro & Farm2,150,000$0$0$NoLien / Lien NHL
Riley SheahanJardiniers (WPT)C271991-12-07No214 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm2,075,000$0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D231996-01-20No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Seb AhoJardiniers (WPT)D231996-02-17No177 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Sonny MilanoJardiniers (WPT)LW231996-05-12No195 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,263,333$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW261992-12-28No188 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm990,000$0$0$NoLien / Lien NHL
Tomas NosekJardiniers (WPT)LW271992-09-01No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Vladislav KamenevJardiniers (WPT)LW231996-08-12No194 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm894,167$0$0$NoLien / Lien NHL
Zack KassianJardiniers (WPT)RW281991-01-24No211 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,950,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3524.29200 Lbs188 CM1.461,090,118$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jakub VranaJared McCannKevin Labanc40122
2Tomas NosekRiley SheahanZack Kassian30122
3Josh LeivoJoel Eriksson EkJake Virtanen20122
4Sonny MilanoKevin LabancLawson Crouse10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovMadison Bowey40122
2Greg PaterynMarcus Pettersson30122
3Connor CarrickMirco Mueller20122
4Ian McCoshenSeb Aho10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jakub VranaJared McCannKevin Labanc60122
2Tomas NosekRiley SheahanZack Kassian40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovMadison Bowey60122
2Greg PaterynMarcus Pettersson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kevin LabancJakub Vrana60122
2Jared McCannRiley Sheahan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovMadison Bowey60122
2Greg PaterynMarcus Pettersson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kevin Labanc60122Nikita ZadorovMadison Bowey60122
2Jakub Vrana40122Greg PaterynMarcus Pettersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kevin LabancJakub Vrana60122
2Jared McCannRiley Sheahan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovMadison Bowey60122
2Greg PaterynMarcus Pettersson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jakub VranaJared McCannKevin LabancNikita ZadorovMadison Bowey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jakub VranaJared McCannKevin LabancNikita ZadorovMadison Bowey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joshua Ho-Sang, Brett Ritchie, Tomas JurcoJoshua Ho-Sang, Brett RitchieTomas Jurco
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roland McKeown, David Warsofsky, Connor CarrickRoland McKeownDavid Warsofsky, Connor Carrick
Tirs de Pénalité
Kevin Labanc, Jakub Vrana, Jared McCann, Riley Sheahan, Zack Kassian
Gardien
#1 : Adin Hill, #2 : Alex Lyon, #3 : Jon Gillies


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
1Benchwarmers1010000025-3000000000001010000025-300.00023500281613235956766435101323500.00%40100.00%05911551.30%7113054.62%8412070.00%151106126448643
2Caribou10000010321000000000001000001032121.0003470028161324095676643368194125.00%40100.00%15911551.30%7113054.62%8412070.00%151106126448643
3Chevalier2110000067-1110000003121010000036-320.5006121800281613272956766478252041500.00%10280.00%05911551.30%7113054.62%8412070.00%151106126448643
4Hooligans211000004754221100000475420000000000020.5004781128012816132839567664401316355120.00%8275.00%15911551.30%7113054.62%8412070.00%151106126448643
Total62300010581939321000005064430200010813-560.500581001580128161322309567664186545711819210.53%26484.62%25911551.30%7113054.62%8412070.00%151106126448643
_Since Last GM Reset62300010581939321000005064430200010813-560.500581001580128161322309567664186545711819210.53%26484.62%25911551.30%7113054.62%8412070.00%151106126448643
_Vs Conference3120000049103921100000475421010000025-320.333498413301281613211895676647523295810110.00%12283.33%15911551.30%7113054.62%8412070.00%151106126448643
_Vs Division2010000067-1100000003121010000036-300.0006121800281613272956766478252041500.00%10280.00%05911551.30%7113054.62%8412070.00%151106126448643

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66L158100158230186545711801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62300105819
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000506
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3020010813
Derniers 10 Matchs
WLOTWOTL SOWSOL
330000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19210.53%26484.62%2
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
95676642816132
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
5911551.30%7113054.62%8412070.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
151106126448643


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 - 2019-10-061Hooligans0Jardiniers44WSommaire du Match
2 - 2019-10-077Jardiniers2Benchwarmers5LSommaire du Match
4 - 2019-10-0917Jardiniers3Chevalier6LSommaire du Match
7 - 2019-10-1226Chevalier1Jardiniers3WSommaire du Match
8 - 2019-10-1333Jardiniers3Caribou2WXXSommaire du Match
10 - 2019-10-1540Hooligans5Jardiniers3LSommaire du Match
13 - 2019-10-1848Requins-Jardiniers-
14 - 2019-10-1952Jardiniers-Royaux-
15 - 2019-10-2057Jardiniers-Benchwarmers-
17 - 2019-10-2269Vagabond-Jardiniers-
20 - 2019-10-2575Jardiniers-Benchwarmers-
21 - 2019-10-2683Jardiniers-Caribou-
23 - 2019-10-2888Chevalier-Jardiniers-
25 - 2019-10-3098Hooligans-Jardiniers-
28 - 2019-11-02108Requins-Jardiniers-
30 - 2019-11-04116Jardiniers-Requins-
31 - 2019-11-05123Werewolves-Jardiniers-
33 - 2019-11-07132Jardiniers-Hooligans-
34 - 2019-11-08138Jardiniers-Hybrides-
36 - 2019-11-10142Jardiniers-Casse-Tete-
37 - 2019-11-11149Leftovers-Jardiniers-
40 - 2019-11-14156Jardiniers-Pirates-
41 - 2019-11-15162Chevalier-Jardiniers-
43 - 2019-11-17170Jardiniers-Leftovers-
44 - 2019-11-18178Werewolves-Jardiniers-
46 - 2019-11-20188Jardiniers-Hooligans-
48 - 2019-11-22194Hooligans-Jardiniers-
50 - 2019-11-24202Jardiniers-Pirates-
52 - 2019-11-26207Diabotins-Jardiniers-
55 - 2019-11-29220Caribou-Jardiniers-
56 - 2019-11-30224Jardiniers-Werewolves-
58 - 2019-12-02233Casse-Tete-Jardiniers-
60 - 2019-12-04239Jardiniers-Requins-
62 - 2019-12-06249Requins-Jardiniers-
63 - 2019-12-07255Jardiniers-Caribou-
65 - 2019-12-09264Leftovers-Jardiniers-
66 - 2019-12-10268Jardiniers-Requins-
68 - 2019-12-12277Benchwarmers-Jardiniers-
70 - 2019-12-14281Jardiniers-Vagabond-
71 - 2019-12-15292Jardiniers-Caribou-
73 - 2019-12-17299Barracuda-Jardiniers-
76 - 2019-12-20307Jardiniers-Benchwarmers-
77 - 2019-12-21314Royaux-Jardiniers-
80 - 2019-12-24322Jardiniers-Benchwarmers-
81 - 2019-12-25329Vagabond-Jardiniers-
85 - 2019-12-29339Hooligans-Jardiniers-
86 - 2019-12-30347Jardiniers-Barracuda-
88 - 2020-01-01355Barracuda-Jardiniers-
89 - 2020-01-02361Jardiniers-Leftovers-
91 - 2020-01-04369Jardiniers-Barracuda-
93 - 2020-01-06375Requins-Jardiniers-
95 - 2020-01-08382Jardiniers-Vagabond-
97 - 2020-01-10388Caribou-Jardiniers-
98 - 2020-01-11395Jardiniers-Diabotins-
100 - 2020-01-13402Chevalier-Jardiniers-
101 - 2020-01-14404Jardiniers-Royaux-
104 - 2020-01-17417Pirates-Jardiniers-
106 - 2020-01-19421Jardiniers-Chevalier-
107 - 2020-01-20431Jardiniers-Hybrides-
108 - 2020-01-21434Casse-Tete-Jardiniers-
112 - 2020-01-25447Pirates-Jardiniers-
114 - 2020-01-27456Vagabond-Jardiniers-
116 - 2020-01-29464Jardiniers-Royaux-
117 - 2020-01-30468Jardiniers-Barracuda-
119 - 2020-02-01476Hooligans-Jardiniers-
120 - 2020-02-02480Jardiniers-Caribou-
122 - 2020-02-04490Jardiniers-Werewolves-
123 - 2020-02-05494Caribou-Jardiniers-
126 - 2020-02-08503Jardiniers-Casse-Tete-
129 - 2020-02-11509Royaux-Jardiniers-
131 - 2020-02-13522Benchwarmers-Jardiniers-
133 - 2020-02-15526Jardiniers-Chevalier-
134 - 2020-02-16529Jardiniers-Benchwarmers-
137 - 2020-02-19539Werewolves-Jardiniers-
139 - 2020-02-21549Jardiniers-Requins-
140 - 2020-02-22554Vagabond-Jardiniers-
142 - 2020-02-24563Jardiniers-Diabotins-
143 - 2020-02-25566Jardiniers-Leftovers-
144 - 2020-02-26569Diabotins-Jardiniers-
147 - 2020-02-29582Jardiniers-Royaux-
148 - 2020-03-01585Diabotins-Jardiniers-
152 - 2020-03-05600Leftovers-Jardiniers-
157 - 2020-03-10615Hybrides-Jardiniers-
162 - 2020-03-15629Hybrides-Jardiniers-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
234,070$ 3,815,413$ 2,995,329$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
23,407$ 234,070$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 23,407$ 3,581,271$




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
2016846111041434931523414231802010200791214230302133293732201224938631356141661541659271190087090663239789293616042817125.27%2773587.36%171067168263.44%1027166961.53%744124959.57%2020134918216561246639
201784373004247326409-8342231201213180212-3242141803034146197-517432655287804133879813255688985277674232488762013813095317.15%2907574.14%8923167855.01%896154857.88%714129954.97%2018132717706771316661
20188239300624144827517341279021112481241244112210413020015149784487761224131671601111331791197104990351272192996416402826623.40%43510376.32%181122186360.23%1122185760.42%824126465.19%2052137216906481220620
201962300010581939321000005064430200010813-56581001580128161322309567664186545711819210.53%26484.62%25911551.30%7113054.62%8412070.00%151106126448643
Total Saison Régulière256139740145131113258554701288330053346784212571285644092107647434213280132522913616212494417387378676308128382651192762827622577474389119221.55%102821778.89%453171533859.40%3116520459.88%2366393260.17%624341565409202738691965
Séries
201621147000008054261183000004919301064000003135-428801392190134153106702372092240598210245349981818.37%621772.58%126447655.46%21938257.33%14228150.53%491323459172312154
2017136700000373617340000022202633000001516-1123769106011513904521531381481341317511427432825.00%571278.95%019729467.01%18528864.24%11416569.09%3352312859018094
20181165000004945465100000331617514000001629-131249851340023131214441641401346348116146276641625.00%581181.03%014329149.14%13023555.32%7616845.24%2811852258916385
Total Séries452619000001661353124168000001045549211011000006280-185216629345902724152115665544875061913595015058991944221.65%1774077.40%1604106156.93%53490559.01%33261454.07%1109741970351656334