beholdershellpepitosKingspatriots

 

 


Jardiniers

GP: 11 | W: 6 | L: 5 | OTL: 0 | P: 12
GF: 49 | GA: 45 | PP%: 25.00% | PK%: 81.03%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 75
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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
1Riley Sheahan0X100.00513478447768827482848070715341051830
2Jared McCann0XX100.00494061265760797271848271764337057800
3Zack Kassian0X100.00845747448255687139827962715662051800
4Joel Eriksson Ek0X100.00822864436257897070818270634337046800
5Jake Virtanen0X100.00854055408054836939808467734438050790
6Brett Ritchie0X100.00864064368053716932798666625145050790
7Tomas Nosek0X100.00583467427551816659808069625243050780
8Tomas Jurco0X100.00613462415155706836798465695647050770
9Mikhail Grigorenko0X100.00383383447265856258767960615248050770
10Lawson Crouse0X100.00865152508353816336788154624041050760
11Matthew Highmore (R)0XX100.00502883593356745934708061644237050700
12Hudson Fasching0X100.00803364566745715730707261634237050690
13Kyle Rau0X100.00723476603044765933717660634442050690
14Danny O'Regan (R)0X100.00362883543545776071757056684135050680
15Teemu Pulkkinen0XX100.00341860643842795831677547625855050660
16Nick Sorensen0X100.00373364663849785631687255654135050660
17Quinton Howden0X100.00642082705338835631677152625145050660
18Alexandre Grenier0X100.00523665667227745631676952654941050640
19Nikita Zadorov0X100.00874052468970748324827381604542050850
20Connor Carrick0X100.00564161454756808327817262614845050790
21Ian McCoshen0X100.00814058507854827930767059634034050770
22David Warsofsky0X100.00313271533147757530757072645145050740
23Marcus Pettersson (R)0X100.00492767524349777530757060644135050730
24Roland McKeown (R)0X100.00604044585449767130736760644446050720
Rayé
1Spencer Abbott0X100.00372390653238745631677051645244050640
MOYENNE D'ÉQUIPE100.0060356651585178674175766265474205074
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
1Alex Lyon (R)100.0082916679838389858765724069050830
2Jon Gillies100.0081916884838489858764703862050830
3Adin Hill100.0080886781818187848567752441050800
Rayé
MOYENNE D'ÉQUIPE100.008190678182838885866572345705082
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
1Joel Eriksson EkJardiniers (WPT)C107111826019942182516.67%518018.09371014400001181056.03%14166011.9900000111
2Tomas NosekJardiniers (WPT)LW1151217340763782313.51%218116.5028101448000271045.45%1154001.8700000101
3Brett RitchieJardiniers (WPT)RW11781521003393982617.95%316114.666391241000002040.00%1051011.8600000100
4Nikita ZadorovJardiniers (WPT)D1111112-41805321391882.56%2329126.471781962000244000.00%043000.8200000010
5Matthew HighmoreJardiniers (WPT)C/LW1147111003539121810.26%313512.2810156000001050.00%4140001.6300000100
6Jake VirtanenJardiniers (WPT)RW115493602573273015.63%612111.070000000000000.00%382001.4800000001
7Kyle RauJardiniers (WPT)C1016722085106710.00%2757.5300000000000034.92%6370001.8600000000
8Tomas JurcoJardiniers (WPT)RW11527260174195826.32%4766.9300000000001175.00%462001.8400000002
9Mikhail GrigorenkoJardiniers (WPT)C11347420362110714.29%212411.3200000000000046.08%10200001.1200000000
10Riley SheahanJardiniers (WPT)C10426-80091640173010.00%622422.490119460008570061.57%26898010.5300000010
11Teemu PulkkinenJardiniers (WPT)LW/RW111453000112228.33%1827.5000000000000025.00%430001.2100000010
12Jared McCannJardiniers (WPT)C/LW10224-8120921234168.70%622122.161015460002470042.86%1462000.3600000000
13Zack KassianJardiniers (WPT)RW10044-638302272715260.00%617717.720119430002160046.15%13131000.4500123010
14Connor CarrickJardiniers (WPT)D11224-5160113206810.00%1429626.93213862000146000.00%003000.2700000000
15David WarsofskyJardiniers (WPT)D112241002121541013.33%723020.97011339000035000.00%017000.3500000001
16Ian McCoshenJardiniers (WPT)D11033012033611890.00%823421.33011439000133000.00%035000.2600000000
17Marcus PetterssonJardiniers (WPT)D11011340356480.00%1113812.630000000002000.00%002000.1400000000
18Roland McKeownJardiniers (WPT)D11000410015118230.00%715814.4300000000022000.00%002000.0000000000
19Hudson FaschingJardiniers (WPT)RW11000000100000.00%010.100000000000000.00%000000.0000000000
20Danny O'ReganJardiniers (WPT)C11000000010000.00%0292.66000000000200060.00%500000.0000000000
21Lawson CrouseJardiniers (WPT)RW11000-200202100.00%0111.080001400000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne2264985134-31463027515544215526411.09%116315513.96163046103482000193536153.43%6429148030.8500123456
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
1Jon GilliesJardiniers (WPT)115500.8694.296010043327159000.0000110100
2Alex LyonJardiniers (WPT)21000.9051.7469002218000.0000011000
Stats d'équipe Total ou en Moyenne136500.8714.026710045348167000.00001111100


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)G221996-05-11No202 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Alex LyonJardiniers (WPT)G251992-12-09Yes201 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Alexandre GrenierJardiniers (WPT)RW271991-09-05No200 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW251993-07-01No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Connor CarrickJardiniers (WPT)D241994-04-13No192 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C241994-01-30Yes185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
David WarsofskyJardiniers (WPT)D281990-05-30No170 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW231995-07-28No204 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien / Lien NHL
Ian McCoshenJardiniers (WPT)D231995-08-05No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,025,000$0$0$NoLien / Lien NHL
Jake VirtanenJardiniers (WPT)RW221996-08-17No229 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien / Lien NHL
Jared McCannJardiniers (WPT)C/LW221996-05-31No198 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C211997-01-29No206 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Jon GilliesJardiniers (WPT)G241994-01-22No223 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Kyle RauJardiniers (WPT)C251992-10-24No176 Lbs173 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Lawson CrouseJardiniers (WPT)RW211997-06-23No220 Lbs193 CMNoNoNo1Contrat d'EntréePro & Farm1,602,500$0$0$NoLien / Lien NHL
Marcus PetterssonJardiniers (WPT)D221996-05-08Yes180 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Matthew HighmoreJardiniers (WPT)C/LW221996-02-27Yes181 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Mikhail GrigorenkoJardiniers (WPT)C241994-05-16No209 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,430,000$0$0$NoLien / Lien NHL
Nick SorensenJardiniers (WPT)RW231994-10-23No182 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nikita ZadorovJardiniers (WPT)D231995-04-16No230 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm2,150,000$0$0$NoLien / Lien NHL
Quinton HowdenJardiniers (WPT)C261992-01-21No189 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm936,100$0$0$NoLien / Lien NHL
Riley SheahanJardiniers (WPT)C261991-12-07No214 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm2,075,000$0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D221996-01-20Yes195 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Spencer AbbottJardiniers (WPT)LW301988-04-30No170 Lbs175 CMNoNoNo1Sans RestrictionPro & Farm575,000$0$0$NoLien
Teemu PulkkinenJardiniers (WPT)LW/RW261992-01-02No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW251992-12-28No188 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien / Lien NHL
Tomas NosekJardiniers (WPT)LW261992-09-01No210 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Zack KassianJardiniers (WPT)RW271991-01-24No209 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2824.21199 Lbs188 CM1.571,070,575$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jared McCannJoel Eriksson EkZack Kassian40122
2Tomas NosekRiley SheahanBrett Ritchie30122
3Matthew HighmoreMikhail GrigorenkoJake Virtanen20122
4Teemu PulkkinenKyle RauTomas Jurco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick40122
2Ian McCoshenDavid Warsofsky30122
3Marcus PetterssonRoland McKeown20122
4Nikita ZadorovConnor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jared McCannRiley SheahanZack Kassian60122
2Tomas NosekJoel Eriksson EkBrett Ritchie40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley SheahanJared McCann60122
2Zack KassianJoel Eriksson Ek40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Sheahan60122Nikita ZadorovConnor Carrick60122
2Jared McCann40122Ian McCoshenDavid Warsofsky40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Riley SheahanJared McCann60122
2Zack KassianJoel Eriksson Ek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jared McCannRiley SheahanZack KassianNikita ZadorovConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jared McCannRiley SheahanZack KassianNikita ZadorovConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawson Crouse, Hudson Fasching, Danny O'ReganLawson Crouse, Hudson FaschingDanny O'Regan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Pettersson, Roland McKeown, Ian McCoshenMarcus PetterssonRoland McKeown, Ian McCoshen
Tirs de Pénalité
Riley Sheahan, Jared McCann, Zack Kassian, Joel Eriksson Ek, Brett Ritchie
Gardien
#1 : Jon Gillies, #2 : Alex Lyon, #3 : Adin Hill


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
1Leftovers54100000271893300000017611211000001012-280.80027487500231312121816414013461546262124371232.43%26388.46%014329149.14%13023555.32%7616845.24%2811852258916385
2Requins624000002227-5321000001610630300000617-1140.3332237590023131212261641401346194548415227414.81%32875.00%014329149.14%13023555.32%7616845.24%2811852258916385
Total1165000004945465100000331617514000001629-13120.54549851340023131214441641401346348116146276641625.00%581181.03%014329149.14%13023555.32%7616845.24%2811852258916385
_Since Last GM Reset1165000004945465100000331617514000001629-13120.54549851340023131214441641401346348116146276641625.00%581181.03%014329149.14%13023555.32%7616845.24%2811852258916385
_Vs Conference1165000004945465100000331617514000001629-13120.54549851340023131214441641401346348116146276641625.00%581181.03%014329149.14%13023555.32%7616845.24%2811852258916385
_Vs Division624000002227-5321000001610630300000617-1140.3332237590023131212261641401346194548415227414.81%32875.00%014329149.14%13023555.32%7616845.24%2811852258916385

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1112L2498513444434811614627600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
116500004945
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
65100003316
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
51400001629
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
641625.00%581181.03%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
16414013462313121
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
14329149.14%13023555.32%7616845.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2811852258916385


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.
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JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-04-037Leftovers2Jardiniers8WSommaire du Match
2 - 2019-04-0415Leftovers2Jardiniers4WSommaire du Match
3 - 2019-04-0523Jardiniers2Leftovers5LSommaire du Match
4 - 2019-04-0631Jardiniers8Leftovers7WXSommaire du Match
5 - 2019-04-0739Leftovers2Jardiniers5WSommaire du Match
8 - 2019-04-1060Jardiniers1Requins5LSommaire du Match
9 - 2019-04-1164Jardiniers3Requins7LSommaire du Match
10 - 2019-04-1268Requins5Jardiniers11WSommaire du Match
11 - 2019-04-1372Requins1Jardiniers3WSommaire du Match
12 - 2019-04-1476Jardiniers2Requins5LSommaire du Match
13 - 2019-04-1580Requins4Jardiniers2LSommaire du Match



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

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,997,611$ 1,906,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 3 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
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
Total Saison Régulière25013771014512111267836431125812905334628415213125564209297639421218274126721913458211466401374358446298627712585188744227082520462587219021.79%100221378.74%433112522359.58%3045507460.01%2282381259.86%609140495282198237831922
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