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OTHL - Bears 

Bears
GP: 82 | W: 12 | L: 69 | OTL: 1 | P: 25
GF: 184 | GA: 549 | PP%: 7.33% | PK%: 70.76%
DG: Bo | Morale : 50 | Moyenne d'Équipe : 59
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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 SPÂgeContratSalaire
1Carl GrundstromXX100.008745827670637963257555592546466550630232925,000$
2A.J. GreerXX100.006976516476717463505864626146466450610242825,000$
3Cameron DarcyX100.007368856768707454685647614544445750580273750,000$
4Jani Hakanpaa (R)X100.008382856682646949254339653744445350600291525,000$
5Kevin GravelX100.008380897080525546253440673856575350600293750,000$
6Kyle CapobiancoX100.006766696466646464255955615245456250590233745,000$
7Nicolas MelocheX100.007676776876616546253739613744445150570233853,333$
Rayé
MOYENNE D'ÉQUIPE100.00777077687464695535524862424647585060
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
1Ville Husso100.00596480815964566462613044446150610
2Spencer Martin100.00515873834951505649493044445250540
Rayé
MOYENNE D'ÉQUIPE100.0055617782545853605655304444575058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins64614144624853USA492800,000$


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'ÉquipePOSGP 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
1A.J. GreerBears (WSH)LW/RW82772299-1584026812833410626023.05%124126015.373038210000116254.67%75000111.5700000131
Stats d'équipe Total ou en Moyenne82772299-1584026812833410626023.05%124126015.373038210000116254.67%75000111.5700000131
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

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# 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
Stats d'équipe Total ou en Moyenne 0.000 0.000 0.000


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 Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
A.J. GreerBears (WSH)LW/RW241996-12-14No204 Lbs6 ft3NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien / Lien NHL
Cameron DarcyBears (WSH)C271994-03-02No185 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Carl GrundstromBears (WSH)LW/RW231997-12-01No194 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jani HakanpaaBears (WSH)D291992-03-31Yes218 Lbs6 ft5NoNoNo1Pro & Farm525,000$0$0$NoLien / Lien NHL
Kevin GravelBears (WSH)D291992-03-06No212 Lbs6 ft4NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Kyle CapobiancoBears (WSH)D231997-08-13No178 Lbs6 ft1NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Lien / Lien NHL
Nicolas MelocheBears (WSH)D231997-07-18No204 Lbs6 ft3NoNoNo3Pro & Farm853,333$0$0$No853,333$853,333$Lien / Lien NHL
Spencer MartinBears (WSH)G251995-06-07No210 Lbs6 ft3NoNoNo4Pro & Farm725,000$0$0$No725,000$725,000$725,000$Lien / Lien NHL
Ville HussoBears (WSH)G261995-02-05No205 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
925.44201 Lbs6 ft22.67760,926$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2A.J. Greer30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2A.J. Greer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2A.J. Greer40122
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
2A.J. Greer40122
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
A.J. Greer, , A.J. Greer,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , A.J. Greer,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
1 Americans30300000623-171010000015-420200000518-1300.000612180065625703564261269201474183915213.33%4250.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
2Admirals20200000319-161010000027-510100000112-1100.00035800656257036642612692012946832300.00%40100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
3Barracudas20200000318-151010000018-710100000210-800.0003690065625703164261269201173510344125.00%5180.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
4Bruins30300000414-101010000024-220200000210-800.0004711006562570376426126920992714272214.55%7185.71%0535169831.51%676232929.03%411141928.96%11667912895560858330
5Checkers40400000328-2520200000011-1120200000317-1400.000358006562570496426126920142502047900.00%11281.82%0535169831.51%676232929.03%411141928.96%11667912895560858330
6Comets20200000211-91010000016-51010000015-400.00024600656257011642612692085251415400.00%7271.43%0535169831.51%676232929.03%411141928.96%11667912895560858330
7Condors20200000012-121010000003-31010000009-900.00000000656257014642612692099324191100.00%20100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
8Crunch30300000422-1820200000317-141010000015-400.0004711006562570596426126920158451850700.00%9277.78%0535169831.51%676232929.03%411141928.96%11667912895560858330
9Devils404000001638-2220200000718-1120200000920-1100.00016324800656257010264261269202025822696116.67%10460.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
10Eagles21000100981110000005321000010045-130.7509172600656257012964261269208732444300.00%2150.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
11Griffins30300000522-171010000025-320200000317-1400.0005813006562570796426126920174421080400.00%40100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
12Gulls21100000911-2110000006331010000038-520.5009172600656257072642612692095181452100.00%7357.14%0535169831.51%676232929.03%411141928.96%11667912895560858330
13Heat20200000115-1410100000110-91010000005-500.00012300656257015642612692073261033300.00%4175.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
14IceHogs20200000119-181010000018-710100000011-1100.0001230065625701464261269201073114234125.00%6266.67%0535169831.51%676232929.03%411141928.96%11667912895560858330
15Marlies30300000218-1620200000211-91010000007-700.0002460065625704864261269201113425020210.00%10100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
16Monsters40400000629-2320200000012-1220200000617-1100.000610160065625705564261269202007024421100.00%12650.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
17Moose20200000214-121010000026-41010000008-800.00024600656257018642612692086191226400.00%6266.67%0535169831.51%676232929.03%411141928.96%11667912895560858330
18Penguins40400000838-3020200000421-1720200000417-1300.0008162400656257091642612692021856146211218.18%5340.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
19Phantoms40400000521-162020000018-720200000413-900.00059140065625704664261269201504529321100.00%12191.67%0535169831.51%676232929.03%411141928.96%11667912895560858330
20Rampage 220000001183110000005411100000064241.000111930006562570104642612692081354498225.00%2150.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
21Reign20200000213-111010000017-61010000016-500.000235006562570546426126920732317326116.67%5180.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
22Roadrunners20200000613-71010000048-41010000025-300.00061117006562570616426126920111338445120.00%5420.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
23Rocket30300000416-1220200000313-101010000013-200.0004812006562570346426126920853515331300.00%50100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
24Senators30300000218-1620200000215-131010000003-300.0002460065625706664261269201614416591317.69%7271.43%0535169831.51%676232929.03%411141928.96%11667912895560858330
25Sound Tigers422000002221122000000139420200000912-340.50022426400656257022764261269202105220103600.00%10280.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
26Stars20200000321-1810100000111-1010100000210-800.00035800656257054642612692012838227400.00%110.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
27Thunderbirds30300000223-211010000008-820200000215-1300.000246006562570366426126920126341432800.00%6350.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
28Wild220000001248110000006331100000061541.0001221330065625709864261269206713458200.00%20100.00%0535169831.51%676232929.03%411141928.96%11667912895560858330
29Wolf Pack4400000027161122000000147722000000139481.000274976006562570233642612692013447141063133.33%7271.43%0535169831.51%676232929.03%411141928.96%11667912895560858330
30Wolves20200000416-121010000047-31010000009-900.0004711006562570386426126920712016231119.09%3166.67%0535169831.51%676232929.03%411141928.96%11667912895560858330
Total82126900100184549-365418330000094258-164414360010090291-201250.15218434052400656257019466426126920372611063811342232177.33%1715070.76%0535169831.51%676232929.03%411141928.96%11667912895560858330
_Since Last GM Reset82126900100184549-365418330000094258-164414360010090291-201250.15218434052400656257019466426126920372611063811342232177.33%1715070.76%0535169831.51%676232929.03%411141928.96%11667912895560858330
_Vs Conference5164500000112335-223264220000054165-111252230000058170-112120.11811220932100656257011736426126920225566424680714885.41%1133073.45%0535169831.51%676232929.03%411141928.96%11667912895560858330
_Vs Division286200000087191-1041448000003986-47142120000048105-57120.21487163250006562570803642612692012563781434615747.02%672070.15%0535169831.51%676232929.03%411141928.96%11667912895560858330

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8225L1184340524194637261106381134200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8212690100184549
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41833000094258
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41436010090291
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
232177.33%1715070.76%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
64261269206562570
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
535169831.51%676232929.03%411141928.96%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11667912895560858330


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 - 2020-10-242Bears6Rampage 4WSommaire du Match
3 - 2020-10-2615Bears4Sound Tigers5LSommaire du Match
4 - 2020-10-2730Checkers5Bears0LSommaire du Match
7 - 2020-10-3043Stars11Bears1LSommaire du Match
9 - 2020-11-0153Bears1Admirals12LSommaire du Match
11 - 2020-11-0365Bears2Stars10LSommaire du Match
13 - 2020-11-0584Eagles3Bears5WSommaire du Match
15 - 2020-11-0797Marlies4Bears0LSommaire du Match
17 - 2020-11-09112Wolf Pack5Bears9WSommaire du Match
19 - 2020-11-11125Bears0IceHogs11LSommaire du Match
21 - 2020-11-13135Bears0Heat5LSommaire du Match
23 - 2020-11-15149Bears0Condors9LSommaire du Match
24 - 2020-11-16159Bears1Comets5LSommaire du Match
28 - 2020-11-20187Bears0Marlies7LSommaire du Match
31 - 2020-11-23203 Americans5Bears1LSommaire du Match
33 - 2020-11-25219Heat10Bears1LSommaire du Match
37 - 2020-11-29242Bears1Thunderbirds8LSommaire du Match
39 - 2020-12-01262Wolves7Bears4LSommaire du Match
41 - 2020-12-03271Roadrunners8Bears4LSommaire du Match
43 - 2020-12-05284Bears1Phantoms6LSommaire du Match
45 - 2020-12-07298Rocket6Bears2LSommaire du Match
46 - 2020-12-08300Bears2Bruins5LSommaire du Match
48 - 2020-12-10317Gulls3Bears6WSommaire du Match
50 - 2020-12-12332Bears6Wolf Pack3WSommaire du Match
53 - 2020-12-15361Comets6Bears1LSommaire du Match
57 - 2020-12-19389Thunderbirds8Bears0LSommaire du Match
59 - 2020-12-21402Crunch8Bears0LSommaire du Match
60 - 2020-12-22406Bears0Griffins9LSommaire du Match
63 - 2020-12-25431Bears2Barracudas10LSommaire du Match
64 - 2020-12-26435Bears1Reign6LSommaire du Match
66 - 2020-12-28447Bears3Gulls8LSommaire du Match
69 - 2020-12-31471Monsters5Bears0LSommaire du Match
71 - 2021-01-02486Bruins4Bears2LSommaire du Match
74 - 2021-01-05514Bears1Crunch5LSommaire du Match
76 - 2021-01-07519Bears2Monsters8LSommaire du Match
80 - 2021-01-11550Bears4Devils11LSommaire du Match
81 - 2021-01-12564Crunch9Bears3LSommaire du Match
83 - 2021-01-14569Bears0Bruins5LSommaire du Match
87 - 2021-01-18592Monsters7Bears0LSommaire du Match
88 - 2021-01-19593Bears2Checkers9LSommaire du Match
91 - 2021-01-22625Sound Tigers5Bears8WSommaire du Match
94 - 2021-01-25639Bears1Checkers8LSommaire du Match
96 - 2021-01-27658Barracudas8Bears1LSommaire du Match
98 - 2021-01-29674Senators8Bears1LSommaire du Match
99 - 2021-01-30676Bears3Phantoms7LSommaire du Match
102 - 2021-02-02702Devils9Bears3LSommaire du Match
104 - 2021-02-04713Checkers6Bears0LSommaire du Match
107 - 2021-02-07739Devils9Bears4LSommaire du Match
109 - 2021-02-09750Bears5Sound Tigers7LSommaire du Match
118 - 2021-02-18769Bears1Rocket3LSommaire du Match
120 - 2021-02-20781Admirals7Bears2LSommaire du Match
122 - 2021-02-22789Bears0Senators3LSommaire du Match
124 - 2021-02-24808Penguins11Bears2LSommaire du Match
126 - 2021-02-26824Reign7Bears1LSommaire du Match
130 - 2021-03-02854Phantoms4Bears0LSommaire du Match
132 - 2021-03-04865Sound Tigers4Bears5WSommaire du Match
135 - 2021-03-07882Bears4Eagles5LXSommaire du Match
137 - 2021-03-09895Bears2Roadrunners5LSommaire du Match
139 - 2021-03-11919Bears0Wolves9LSommaire du Match
142 - 2021-03-14940Rocket7Bears1LSommaire du Match
144 - 2021-03-16950Bears5Devils9LSommaire du Match
145 - 2021-03-17966Penguins10Bears2LSommaire du Match
147 - 2021-03-19980Moose6Bears2LSommaire du Match
149 - 2021-03-21993Bears0Moose8LSommaire du Match
152 - 2021-03-241014Bears6Wild1WSommaire du Match
155 - 2021-03-271032Phantoms4Bears1LSommaire du Match
156 - 2021-03-281038Bears7Wolf Pack6WSommaire du Match
158 - 2021-03-301057Bears4Penguins7LSommaire du Match
160 - 2021-04-011066Bears3 Americans9LSommaire du Match
163 - 2021-04-041092Griffins5Bears2LSommaire du Match
165 - 2021-04-061108IceHogs8Bears1LSommaire du Match
167 - 2021-04-081122Condors3Bears0LSommaire du Match
170 - 2021-04-111138Bears4Monsters9LSommaire du Match
171 - 2021-04-121152Senators7Bears1LSommaire du Match
173 - 2021-04-141169Bears0Penguins10LSommaire du Match
175 - 2021-04-161184Rampage 4Bears5WSommaire du Match
177 - 2021-04-181198Wolf Pack2Bears5WSommaire du Match
179 - 2021-04-201209Bears3Griffins8LSommaire du Match
181 - 2021-04-221224Bears2 Americans9LSommaire du Match
182 - 2021-04-231238Marlies7Bears2LSommaire du Match
184 - 2021-04-251254Wild3Bears6WSommaire du Match
186 - 2021-04-271263Bears1Thunderbirds7LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets350
Assistance81,04538,883
Assistance PCT98.84%94.84%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2925 - 97.50% 69,185$2,836,575$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,774,351$ 684,833$ 684,833$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
3,682$ 974,365$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 7,983$ 0$





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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