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OTHL - Bears 

Bears

GP: 9 | W: 2 | L: 6 | OTL: 1 | P: 5
GF: 29 | GA: 43 | PP%: 14.29% | PK%: 66.67%
DG: Bo | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #125 vs IceHogs
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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
1Chris ConnerXX100.007162926562798464506359655654546550630
2Laurent DauphinXXX100.007068737268707360756056625347476250610
3Matthew PecaXXX100.007142967661577355596458712548486450610
4A.J. Greer (R)XX100.007844747276457756375758582546466050580
5Blake Lizotte (R)X100.005155555555555555555555555555555550541
6Steven KampferX100.007844826870655364254950642561615950620
7Paul LadueX100.008045887775626061254948632549506050620
8Andrew CampbellX100.007878776878717847253441653958585350610
9Luke WitkowskiXX100.008596807180535558254647632555565850610
Rayé
1Jordan WealXXX100.006341907163658369906664587558596550640
2Oscar FantenbergX100.008054907673697459254348722551526050640
MOYENNE D'ÉQUIPE100.00735782706963705945535363395353605061
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
Rayé
1Spencer Martin100.00535873835260505757563044445550570
MOYENNE D'ÉQUIPE100.0053587383526050575756304444555057
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins64614144624853USA483800,000$


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
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


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
A.J. GreerBears (WSH)LW/RW221996-12-14Yes204 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm825,000$0$0$NoLien
Andrew CampbellBears (WSH)D311988-02-04No205 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien
Blake LizotteBears (WSH)C211997-12-13 11:41:36 AMYes172 Lbs5 ft7NoNoNo3Avec RestrictionPro & Farm925,000$0$0$No
Chris ConnerBears (WSH)LW/RW351983-12-23No181 Lbs5 ft7NoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Jordan WealBears (WSH)C/LW/RW271992-04-14No179 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm870,000$0$0$NoLien
Laurent DauphinBears (WSH)C/LW/RW241995-03-27No180 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Luke WitkowskiBears (WSH)RW/D291990-04-14No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Matthew PecaBears (WSH)C/LW/RW261993-04-27No178 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Oscar FantenbergBears (WSH)D281991-10-07No203 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Paul LadueBears (WSH)D271992-09-06No201 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Spencer MartinBears (WSH)G241995-06-07No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm894,000$0$0$NoLien
Steven KampferBears (WSH)D311988-09-24No195 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1227.08193 Lbs6 ft01.58800,681$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #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
1Admirals1010000035-2000000000001010000035-200.0003691088130489810211904914029000.00%000.00%010522945.85%10425940.15%5715836.08%1701212686010245
2Checkers1010000006-61010000006-60000000000000.000000008813012981021190291069400.00%2150.00%010522945.85%10425940.15%5715836.08%1701212686010245
3Eagles11000000844110000008440000000000021.00081624008813052981021190461343222100.00%2150.00%010522945.85%10425940.15%5715836.08%1701212686010245
4Marlies1010000024-21010000024-20000000000000.0002460088130139810211906614013200.00%000.00%010522945.85%10425940.15%5715836.08%1701212686010245
5Rampage 1000010034-1000000000001000010034-110.5003690088130269810211906119228200.00%10100.00%010522945.85%10425940.15%5715836.08%1701212686010245
6Sound Tigers1010000037-4000000000001010000037-400.0003690088130419810211905610829000.00%30100.00%010522945.85%10425940.15%5715836.08%1701212686010245
7Stars20200000410-61010000025-31010000025-300.000481200881307198102119010839441400.00%110.00%010522945.85%10425940.15%5715836.08%1701212686010245
Total926001002943-14523000001822-4403001001121-1050.27829588710881303199810211904751292421314214.29%9366.67%010522945.85%10425940.15%5715836.08%1701212686010245
9Wolf Pack11000000633110000006330000000000021.000612180088130569810211906010032000.00%000.00%010522945.85%10425940.15%5715836.08%1701212686010245
_Since Last GM Reset926001002943-14523000001822-4403001001121-1050.27829588710881303199810211904751292421314214.29%9366.67%010522945.85%10425940.15%5715836.08%1701212686010245
_Vs Conference413000001120-931200000813-51010000037-420.2501122330088130122981021190211441483600.00%5180.00%010522945.85%10425940.15%5715836.08%1701212686010245
_Vs Division31200000916-72110000069-31010000037-420.333918270088130109981021190145301470400.00%5180.00%010522945.85%10425940.15%5715836.08%1701212686010245

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
95W12958873194751292421310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
92601002943
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001822
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
40301001121
Derniers 10 Matchs
WLOTWOTL SOWSOL
260100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14214.29%9366.67%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
98102119088130
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
10522945.85%10425940.15%5715836.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1701212686010245


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 - 2019-10-042Bears3Rampage 4LXSommaire du Match
3 - 2019-10-0615Bears3Sound Tigers7LSommaire du Match
4 - 2019-10-0730Checkers6Bears0LSommaire du Match
7 - 2019-10-1043Stars5Bears2LSommaire du Match
9 - 2019-10-1253Bears3Admirals5LSommaire du Match
11 - 2019-10-1465Bears2Stars5LSommaire du Match
13 - 2019-10-1684Eagles4Bears8WSommaire du Match
15 - 2019-10-1897Marlies4Bears2LSommaire du Match
17 - 2019-10-20112Wolf Pack3Bears6WSommaire du Match
19 - 2019-10-22125Bears-IceHogs-
21 - 2019-10-24135Bears-Heat-
23 - 2019-10-26149Bears-Condors-
24 - 2019-10-27159Bears-Comets-
28 - 2019-10-31187Bears-Marlies-
31 - 2019-11-03203 Americans-Bears-
33 - 2019-11-05219Heat-Bears-
37 - 2019-11-09242Bears-Thunderbirds-
39 - 2019-11-11262Wolves-Bears-
41 - 2019-11-13271Roadrunners-Bears-
43 - 2019-11-15284Bears-Phantoms-
45 - 2019-11-17298Rocket-Bears-
46 - 2019-11-18300Bears-Bruins-
48 - 2019-11-20317Gulls-Bears-
50 - 2019-11-22332Bears-Wolf Pack-
53 - 2019-11-25361Comets-Bears-
57 - 2019-11-29389Thunderbirds-Bears-
59 - 2019-12-01402Crunch-Bears-
60 - 2019-12-02406Bears-Griffins-
63 - 2019-12-05431Bears-Barracudas-
64 - 2019-12-06435Bears-Reign-
66 - 2019-12-08447Bears-Gulls-
69 - 2019-12-11471Monsters-Bears-
71 - 2019-12-13486Bruins-Bears-
74 - 2019-12-16514Bears-Crunch-
76 - 2019-12-18519Bears-Monsters-
80 - 2019-12-22550Bears-Devils-
81 - 2019-12-23564Crunch-Bears-
83 - 2019-12-25569Bears-Bruins-
87 - 2019-12-29592Monsters-Bears-
88 - 2019-12-30593Bears-Checkers-
91 - 2020-01-02625Sound Tigers-Bears-
94 - 2020-01-05639Bears-Checkers-
96 - 2020-01-07658Barracudas-Bears-
98 - 2020-01-09674Senators-Bears-
99 - 2020-01-10676Bears-Phantoms-
102 - 2020-01-13702Devils-Bears-
104 - 2020-01-15713Checkers-Bears-
107 - 2020-01-18739Devils-Bears-
109 - 2020-01-20750Bears-Sound Tigers-
118 - 2020-01-29769Bears-Rocket-
120 - 2020-01-31781Admirals-Bears-
122 - 2020-02-02789Bears-Senators-
124 - 2020-02-04808Penguins-Bears-
126 - 2020-02-06824Reign-Bears-
130 - 2020-02-10854Phantoms-Bears-
132 - 2020-02-12865Sound Tigers-Bears-
135 - 2020-02-15882Bears-Eagles-
137 - 2020-02-17895Bears-Roadrunners-
139 - 2020-02-19919Bears-Wolves-
142 - 2020-02-22940Rocket-Bears-
144 - 2020-02-24950Bears-Devils-
145 - 2020-02-25966Penguins-Bears-
147 - 2020-02-27980Moose-Bears-
149 - 2020-02-29993Bears-Moose-
152 - 2020-03-031014Bears-Wild-
155 - 2020-03-061032Phantoms-Bears-
156 - 2020-03-071038Bears-Wolf Pack-
158 - 2020-03-091057Bears-Penguins-
160 - 2020-03-111066Bears- Americans-
163 - 2020-03-141092Griffins-Bears-
165 - 2020-03-161108IceHogs-Bears-
167 - 2020-03-181122Condors-Bears-
170 - 2020-03-211138Bears-Monsters-
171 - 2020-03-221152Senators-Bears-
173 - 2020-03-241169Bears-Penguins-
175 - 2020-03-261184Rampage -Bears-
177 - 2020-03-281198Wolf Pack-Bears-
179 - 2020-03-301209Bears-Griffins-
181 - 2020-04-011224Bears- Americans-
182 - 2020-04-021238Marlies-Bears-
184 - 2020-04-041254Wild-Bears-
186 - 2020-04-061263Bears-Thunderbirds-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets350
Assistance7,5503,807
Assistance PCT75.50%76.14%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 2271 - 75.71% 52,850$264,250$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
161,316$ 960,817$ 960,817$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
5,166$ 88,199$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
1,902,600$ 169 9,467$ 1,599,923$





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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
2019926001002943-14523000001822-4403001001121-10529588710881303199810211904751292421314214.29%9366.67%010522945.85%10425940.15%5715836.08%1701212686010245
Total Saison Régulière926001002943-14523000001822-4403001001121-10529588710881303199810211904751292421314214.29%9366.67%010522945.85%10425940.15%5715836.08%1701212686010245