beholdershellpepitosKingspatriots

 

 


Barbarians

GP: 34 | W: 21 | L: 12 | OTL: 1 | P: 43
GF: 127 | GA: 99 | PP%: 23.91% | PK%: 77.01%
DG: Hugo Desourdie | Morale : 50 | Moyenne d'Équipe : 78
Prochain matchs #361 vs Benchwarmers
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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
1Matt Cullen0XX100.00373566427858577282827965859589050820
2Tobias Rieder0XXX100.00543487384273836847828376685851050820
3Lee Stempniak0XX100.00643877366566676937838166817562050810
4Matt Stajan0X100.00584057476853757078827766727961050800
5Jamie McGinn0XX100.00814269357462716939798165656858050800
6Pontus Aberg0XX100.00452281414956836736837969635142050770
7Austin Czarnik0X100.00403374392657816555827743684947050720
8Nic Petan0XX100.00353866393245806469808041635050050710
9Kalle Kossila0XXX100.00552886603640775952707457644235050670
10Toby Enstrom0X100.00361467474367508427837169657659050820
11Alex Biega0X100.00873661475352848329817371625351050800
12Yannick Weber0X100.00593369496243638126787149706253050750
13Jakub Nakladal0X100.00513485607752696931726553646150050730
Rayé
MOYENNE D'ÉQUIPE100.0054337345545672714780766168635405077
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
1David Rittich100.0084926980878790879059724147050830
Rayé
MOYENNE D'ÉQUIPE100.008492698087879087905972414705083
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano70707070707070USA525450,000$


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
1Matt CullenBarbarians (RAI)C/LW3417415841202454143499011.89%3077222.7141317311170224863269.23%392315011.5002000433
2Tobias RiederBarbarians (RAI)C/LW/RW3431225342033100150448620.67%5079023.2411718391181015964250.54%8331920031.3412000541
3Lee StempniakBarbarians (RAI)LW/RW341333462120594094346213.83%2671621.0751015231180000212253.19%47248001.2802000123
4Matt StajanBarbarians (RAI)C34142842134005262121388711.57%2067119.762911261020111172166.12%484199001.2512000151
5Jamie McGinnBarbarians (RAI)LW/RW3415203510135713594295615.96%1664619.03661221102000002131.82%222316001.0800001314
6Pontus AbergBarbarians (RAI)LW/RW341121329601441109396110.09%1864518.9754918102000002145.16%312112000.9900000202
7Alex BiegaBarbarians (RAI)D346212723280698458272410.34%6469320.380441483112340100.00%0934000.7800000322
8Toby EnstromBarbarians (RAI)D34317200100231017439404.05%8791626.9506622140112687010.00%01130000.4400000000
9Austin CzarnikBarbarians (RAI)C3451015-16017397318306.85%1154516.0300005011042054.05%370162100.5500000110
10Nic PetanBarbarians (RAI)C/LW345914-38020188126306.17%654916.15000021011161073.68%19313000.5100000012
11Kalle KossilaBarbarians (RAI)C/LW/RW34381120032458528613.53%3657616.94000010004411055.88%342717000.3800000011
12Yannick WeberBarbarians (RAI)D34314-712029121841216.67%841512.230000000000000.00%0610000.1900000100
13Jakub NakladalBarbarians (RAI)D34011-8401224161090.00%2543712.8600000000015000.00%007000.0500000000
Stats d'équipe Total ou en Moyenne442126232358481535455655111638564811.29%397837418.95335992194896461024427201055.72%1879229183140.8528001212019
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
1David RittichBarbarians (RAI)34211210.9112.84204720971089573010.5006340230
Stats d'équipe Total ou en Moyenne34211210.9112.84204720971089573010.5006340230


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex BiegaBarbarians (RAI)D301988-04-04No193 Lbs178 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Austin CzarnikBarbarians (RAI)C251992-12-12No160 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
David RittichBarbarians (RAI)G261992-08-19No202 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Jakub NakladalBarbarians (RAI)D301987-12-30No212 Lbs188 CMNoNoNo2Sans RestrictionPro & Farm1,110,000$0$0$NoLien / Lien NHL
Jamie McGinnBarbarians (RAI)LW/RW301988-08-05No205 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Kalle KossilaBarbarians (RAI)C/LW/RW251993-04-14No185 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Lee StempniakBarbarians (RAI)LW/RW351983-02-04No195 Lbs180 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Matt CullenBarbarians (RAI)C/LW411976-11-02No202 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Matt StajanBarbarians (RAI)C341983-12-19No195 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Nic PetanBarbarians (RAI)C/LW231995-03-22No179 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Pontus AbergBarbarians (RAI)LW/RW251993-09-23No196 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Tobias RiederBarbarians (RAI)C/LW/RW251993-01-10No188 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm2,225,000$0$0$NoLien / Lien NHL
Toby EnstromBarbarians (RAI)D331984-11-05No180 Lbs178 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Yannick WeberBarbarians (RAI)D301988-09-23No200 Lbs180 CMNoNoNo2Sans RestrictionPro & Farm1,224,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1429.43192 Lbs180 CM1.79914,929$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CullenTobias RiederLee Stempniak40122
2Jamie McGinnMatt StajanPontus Aberg30122
3Nic PetanAustin CzarnikKalle Kossila20122
4Matt CullenTobias RiederLee Stempniak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Toby Enstrom40122
2Alex Biega30122
3Yannick WeberJakub Nakladal20122
4Toby Enstrom10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CullenTobias RiederLee Stempniak60122
2Jamie McGinnMatt StajanPontus Aberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Toby Enstrom60122
2Alex Biega40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tobias RiederMatt Cullen60122
2Lee StempniakMatt Stajan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Toby Enstrom60122
2Alex Biega40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tobias Rieder60122Toby Enstrom60122
2Matt Cullen40122Alex Biega40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tobias RiederMatt Cullen60122
2Lee StempniakMatt Stajan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Toby Enstrom60122
2Alex Biega40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CullenTobias RiederLee StempniakToby Enstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CullenTobias RiederLee StempniakToby Enstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Austin Czarnik, Nic Petan, Kalle KossilaAustin Czarnik, Nic PetanKalle Kossila
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Yannick Weber, Jakub Nakladal, Yannick WeberJakub Nakladal,
Tirs de Pénalité
Tobias Rieder, Matt Cullen, Lee Stempniak, Matt Stajan, Jamie McGinn
Gardien
#1 : David Rittich, #2 :


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
1Barracuda32100000151142110000010911100000052340.667152641004044422954084122951010125144910550.00%7271.43%241773456.81%38370254.56%24744455.63%779500728279541277
2Caribou1100000010460000000000011000000104621.000101929004044422364084122951019131084125.00%5260.00%141773456.81%38370254.56%24744455.63%779500728279541277
3Casse-Tete1010000013-2000000000001010000013-200.00012300404442233408412295103814413200.00%2150.00%041773456.81%38370254.56%24744455.63%779500728279541277
4Chevalier32000001752110000004222100000133050.833712190040444228240841229510933012408225.00%60100.00%141773456.81%38370254.56%24744455.63%779500728279541277
5Diabotins330000001248220000008261100000042261.0001224360040444221174084122951064232491218.33%110.00%041773456.81%38370254.56%24744455.63%779500728279541277
6Evil Saints1010000035-2000000000001010000035-200.00036900404442225408412295103316617100.00%30100.00%041773456.81%38370254.56%24744455.63%779500728279541277
7Giants30300000510-530300000510-50000000000000.0005101510404442295408412295101144822478225.00%12283.33%041773456.81%38370254.56%24744455.63%779500728279541277
8Jardiniers2110000012842110000012840000000000020.5001219310040444227140841229510762392513538.46%20100.00%041773456.81%38370254.56%24744455.63%779500728279541277
9Leftovers2200000010642200000010640000000000041.00010192900404442272408412295106516101911218.18%5180.00%041773456.81%38370254.56%24744455.63%779500728279541277
10Pirates3300000014951100000041322000000108261.000142640004044422111408412295107234105510440.00%50100.00%041773456.81%38370254.56%24744455.63%779500728279541277
11Requins42200000151142200000013582020000026-440.5001528430040444221254084122951013442204322418.18%10190.00%041773456.81%38370254.56%24744455.63%779500728279541277
12Royaux11000000211000000000001100000021121.00024600404442229408412295102811013600.00%000.00%041773456.81%38370254.56%24744455.63%779500728279541277
13St Johns4310000015114220000008352110000078-160.7501527420040444221354084122951014567364017529.41%18666.67%041773456.81%38370254.56%24744455.63%779500728279541277
Total34201200011127992818125000107849291687000014950-1430.63212723235910404442211184084122951010903971774581383323.91%872077.01%441773456.81%38370254.56%24744455.63%779500728279541277
15Werewolves2020000028-6000000000002020000028-600.0002460040444225740841229510702114269111.11%7357.14%041773456.81%38370254.56%24744455.63%779500728279541277
16Zombie10000010431100000104310000000000021.0004610004044422354084122951038148145120.00%4175.00%041773456.81%38370254.56%24744455.63%779500728279541277
_Since Last GM Reset34201200011127992818125000107849291687000014950-1430.63212723235910404442211184084122951010903971774581383323.91%872077.01%441773456.81%38370254.56%24744455.63%779500728279541277
_Vs Conference1365000114440442100010181449440000126260150.57744791230040444223924084122951042014468180451022.22%34973.53%441773456.81%38370254.56%24744455.63%779500728279541277
_Vs Division624000101815331100010125731300000610-460.5001834520040444222094084122951017258248926311.54%12558.33%041773456.81%38370254.56%24744455.63%779500728279541277

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3443W11272323591118109039717745810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
342012001112799
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1812500107849
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
168700014950
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1383323.91%872077.01%4
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
408412295104044422
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
41773456.81%38370254.56%24744455.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
779500728279541277


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 - 2018-10-028Giants4Barbarians3LSommaire du Match
4 - 2018-10-0418Barbarians1Casse-Tete3LSommaire du Match
6 - 2018-10-0629Zombie3Barbarians4WXXSommaire du Match
9 - 2018-10-0942Barracuda3Barbarians5WSommaire du Match
10 - 2018-10-1047Barbarians1Werewolves5LSommaire du Match
13 - 2018-10-1361Chevalier2Barbarians4WSommaire du Match
15 - 2018-10-1567Barbarians4Diabotins2WSommaire du Match
17 - 2018-10-1782Requins4Barbarians9WSommaire du Match
19 - 2018-10-1989Barbarians2Royaux1WSommaire du Match
21 - 2018-10-21102Barbarians3Evil Saints5LSommaire du Match
22 - 2018-10-22106Barracuda6Barbarians5LSommaire du Match
24 - 2018-10-24118Barbarians4St Johns6LSommaire du Match
25 - 2018-10-25128Diabotins1Barbarians3WSommaire du Match
28 - 2018-10-28139Barbarians2Chevalier1WSommaire du Match
29 - 2018-10-29149Giants3Barbarians1LSommaire du Match
31 - 2018-10-31160Barbarians2Requins3LSommaire du Match
32 - 2018-11-01166Giants3Barbarians1LSommaire du Match
35 - 2018-11-04181Barbarians10Caribou4WSommaire du Match
37 - 2018-11-06188Leftovers4Barbarians5WSommaire du Match
40 - 2018-11-09200Barbarians5Barracuda2WSommaire du Match
42 - 2018-11-11210Leftovers2Barbarians5WSommaire du Match
44 - 2018-11-13221Requins1Barbarians4WSommaire du Match
47 - 2018-11-16239Barbarians1Chevalier2LXXSommaire du Match
49 - 2018-11-18244Diabotins1Barbarians5WSommaire du Match
51 - 2018-11-20257Barbarians0Requins3LSommaire du Match
52 - 2018-11-21265St Johns1Barbarians4WSommaire du Match
54 - 2018-11-23275Barbarians3St Johns2WSommaire du Match
55 - 2018-11-24283Pirates1Barbarians4WSommaire du Match
59 - 2018-11-28296Barbarians1Werewolves3LSommaire du Match
60 - 2018-11-29305St Johns2Barbarians4WSommaire du Match
63 - 2018-12-02321Jardiniers2Barbarians8WSommaire du Match
66 - 2018-12-05332Barbarians6Pirates5WSommaire du Match
67 - 2018-12-06341Jardiniers6Barbarians4LSommaire du Match
69 - 2018-12-08352Barbarians4Pirates3WSommaire du Match
71 - 2018-12-10361Benchwarmers-Barbarians-
74 - 2018-12-13373Barbarians-Jardiniers-
75 - 2018-12-14382Pirates-Barbarians-
78 - 2018-12-17393Barbarians-Remparts-
80 - 2018-12-19401Hybrides-Barbarians-
82 - 2018-12-21415Barbarians-Werewolves-
84 - 2018-12-23421Hooligans-Barbarians-
85 - 2018-12-24427Barbarians-Casse-Tete-
88 - 2018-12-27442Werewolves-Barbarians-
90 - 2018-12-29455Barbarians-Barracuda-
91 - 2018-12-30462Werewolves-Barbarians-
93 - 2019-01-01473Barbarians-Remparts-
94 - 2019-01-02481Barracuda-Barbarians-
97 - 2019-01-05495Barbarians-Hybrides-
98 - 2019-01-06502Barbarians-Caribou-
99 - 2019-01-07508Chevalier-Barbarians-
102 - 2019-01-10523Benchwarmers-Barbarians-
104 - 2019-01-12534Barbarians-Diabotins-
105 - 2019-01-13542Hooligans-Barbarians-
108 - 2019-01-16552Barbarians-Diabotins-
109 - 2019-01-17564Zombie-Barbarians-
110 - 2019-01-18571Barbarians-Hybrides-
113 - 2019-01-21583Royaux-Barbarians-
114 - 2019-01-22590Barbarians-Royaux-
117 - 2019-01-25603Remparts-Barbarians-
120 - 2019-01-28616Barbarians-Benchwarmers-
121 - 2019-01-29624Hybrides-Barbarians-
124 - 2019-02-01641Casse-Tete-Barbarians-
125 - 2019-02-02645Barbarians-Giants-
126 - 2019-02-03653Barbarians-Hooligans-
128 - 2019-02-05661Royaux-Barbarians-
129 - 2019-02-06669Barbarians-Jardiniers-
132 - 2019-02-09682Evil Saints-Barbarians-
133 - 2019-02-10687Barbarians-Casse-Tete-
135 - 2019-02-12696Barbarians-Zombie-
137 - 2019-02-14705Remparts-Barbarians-
141 - 2019-02-18719Barbarians-Benchwarmers-
142 - 2019-02-19726Zombie-Barbarians-
144 - 2019-02-21735Barbarians-Zombie-
146 - 2019-02-23745Casse-Tete-Barbarians-
149 - 2019-02-26761Caribou-Barbarians-
150 - 2019-02-27762Barbarians-Giants-
153 - 2019-03-02778Barbarians-Hooligans-
154 - 2019-03-03783Barbarians-Leftovers-
155 - 2019-03-04792Evil Saints-Barbarians-
158 - 2019-03-07803Caribou-Barbarians-
159 - 2019-03-08804Barbarians-Leftovers-
160 - 2019-03-09813Barbarians-Evil Saints-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
553,490$ 1,280,900$ 979,300$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
7,907$ 553,490$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 7,907$ 727,444$




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
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
201834201200011127992818125000107849291687000014950-14312723235910404442211184084122951010903971774581383323.91%872077.01%441773456.81%38370254.56%24744455.63%779500728279541277
Total Saison Régulière118594501742521535-14603518013212752274858242700421246308-62121521901142224174184158640591396139312424634731262901202945411926.21%44511973.26%151420257555.15%1204230452.26%987185753.15%2844191625269301760871
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
Total Séries1789000005571-16954000002931-2835000002640-141655961510018191625701772031855537170279284671319.40%882176.14%521537457.49%20337953.56%14724859.27%410279385126229112