Bears
GP: 82 | W: 54 | L: 25 | OTL: 3 | P: 111
GF: 363 | GA: 277 | PP%: 26.60% | PK%: 77.27%
DG: Jean-François Tellier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Bears
54-25-3, 111pts
5
FINAL
4 Bruins
42-34-6, 90pts
Team Stats
W5StreakW1
31-9-1Home Record23-17-1
23-16-2Away Record19-17-5
7-3-0Last 10 Games6-3-1
4.43Buts par match 4.26
3.38Buts contre par match 3.77
26.60%Pourcentage en avantage numérique24.70%
77.27%Pourcentage en désavantage numérique74.90%
Devils
7-71-4, 18pts
6
FINAL
9 Bears
54-25-3, 111pts
Team Stats
L3StreakW5
1-36-4Home Record31-9-1
6-35-0Away Record23-16-2
0-9-1Last 10 Games7-3-0
2.91Buts par match 4.43
6.46Buts contre par match 3.38
19.21%Pourcentage en avantage numérique26.60%
66.06%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Owen TippettButs
Owen Tippett
8
Owen TippettPasses
Owen Tippett
2
Owen TippettPoints
Owen Tippett
10
Owen TippettPlus/Moins
Owen Tippett
4
Garret SparksVictoires
Garret Sparks
35
Ivan ProsvetovPourcentage d’arrêts
Ivan Prosvetov
0.91

Statistiques d’équipe
Buts pour
363
4.43 GFG
Tirs pour
3371
41.11 Avg
Pourcentage en avantage numérique
26.6%
75 GF
Début de zone offensive
42.5%
Buts contre
277
3.38 GAA
Tirs contre
2886
35.20 Avg
Pourcentage en désavantage numérique
77.3%
50 GA
Début de la zone défensive
38.5%
Information d’équipe

Directeur généralJean-François Tellier
EntraîneurBrad Larsen
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1Gustav Nyquist
Assistant #2Trevor Carrick


Informations de l’aréna

Capacité3,000
Assistance1,628
Billets de saison750


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs38


Historique d'équipe

Saison actuelle54-25-3 (111PTS)
Historique1085-956-170 (0.491%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)51-47
Stanley Cup0


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
1Parker Kelly (R)0XXX100.00834169667279886459626871646365075660231950,000$
2Peyton Krebs (R)0XX100.00613984737185917270716460736163075660213950,000$
3Kiefer Sherwood0XXX100.00763881667369866571676461656768075650272953,700$
4Mike Hardman (R)0XXX100.00863993648182876355626459626365075650233950,000$
5Vasily Podkolzin (R)0X100.00643582727581837056646758716164075650213950,000$
6Egor Sokolov (R)0XX100.00798187648886856354616259656364075640222925,000$
7Thomas Novak (R)0X100.00623788677384876479676361626567075640251700,000$
8Nathan Smith (R)0X100.00793482647084676378646556626364075630243950,000$
9Jimmy Huntington (R)0X100.00663982607572875968615860596466075620241950,000$
10Simon Ryfors (R)0XX100.00603886626981946172605657626567075610253950,000$
11Viktor Lodin (R)0XX100.00653782587773646066586157646365075610233950,000$
12Peter Abbandonato (R)0X100.00623688597169725670625657616466075600241950,000$
13Alexandre Fortin (R)0XX100.00623793577178665653545552576567075590252700,000$
14Nils Lundkvist (R)0X100.00623786677182846630655963506264075640223950,000$
15Lucas Johansen (R)0X100.00613789627677836430655863506567075630253950,000$
16Matt Kiersted (R)0X100.00653988637182896230615965506566075630243950,000$
17Dillon Heatherington0X100.00814182598977785630585764496769075620272750,000$
18Leon Gawanke (R)0X100.00663884597577895430615657526365075600231925,000$
Rayé
1Tyrell Goulbourne0XX100.00643871547366635257535156526870075570282750,000$
2Jake Elmer (R)0X100.00643877557469615456535052516466075570243950,000$
3Hunter Skinner (R)0X100.00683981577872735630555458466163075590212750,000$
4Jesper Sellgren (R)0X100.00573681566670835530585456456466075580243950,000$
5Victor Berglund (R)0X100.00583879596771745330585654456365075580233950,000$
MOYENNE D’ÉQUIPE100.0067408362747780605261595957646607562
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 SPÂgeContratSalaire
1Garret Sparks100.0074707287727173727173726983075650292750,000$
2Ivan Prosvetov (R)100.0073797888727173727173726369075640231925,000$
Rayé
1Mareks Mitens (R)100.0067697074666567666567666471075600243950,000$
2David Tendeck100.0067656672666567666567666369075600233950,000$
3Daniil Chechelev100.0060646581595860595860596165075570213950,000$
MOYENNE D’ÉQUIPE100.006869708067666867666867647107561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Larsen72707377676281CAN453600,000$


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
1Parker KellyBears (WSH)C/LW/RW79545811234741031123541113427913.14%39185623.5015122766223011417210447.69%123300111.21241011288
2Peyton KrebsBears (WSH)C/LW81506011036002925439610428812.63%23196324.248172560235303152366353.85%170100031.1224000754
3Vasily PodkolzinBears (WSH)RW753359922510054151353932519.35%13152220.30121830572090001484553.55%15500011.2101000444
4Kiefer SherwoodBears (WSH)C/LW/RW7433397212320951492767619411.96%22144019.4731215421991012544055.36%100800011.0000000345
5Egor SokolovBears (WSH)LW/RW71224971729510399237732049.28%12122517.262101245122101141047.19%8900001.1600001440
6Lucas JohansenBears (WSH)D811550651242010499154701019.74%117187723.1891120712160332165210.00%000000.6900000310
7Matt KierstedBears (WSH)D81224264274001411021624711813.58%112189823.434913692221011177310.00%000000.6700000173
8Nathan SmithBears (WSH)C8127356213480169122277672049.75%16136716.88022544000003156.64%36900000.9100000314
9Nils LundkvistBears (WSH)D6555762114001388512431944.03%124159224.5031518541960220132100.00%000000.7800000126
10Thomas NovakBears (WSH)C813227591160402002395816913.39%24114214.11011130000424259.06%139700001.0300000125
11Mike HardmanBears (WSH)C/LW/RW6915425732160161128222641746.76%7137919.994913431830004612245.76%94400000.8300000223
12Dillon HeatheringtonBears (WSH)D526222810360155447729497.79%71106520.4827928146011085400.00%000000.5300000032
13Jimmy HuntingtonBears (WSH)C81324271524081598330573.61%3985510.56101280111310047.62%6300000.6300000100
14Leon GawankeBears (WSH)D81420242320097664715398.51%88128315.84123635000078010.00%000000.3700000001
15Viktor LodinBears (WSH)C/LW7761723610032447524568.00%86057.8600001000021057.69%5200000.7600000000
16Simon RyforsBears (WSH)C/LW6713821-160244882205415.85%135728.5400000000003151.22%4100000.7300000001
17Owen TippettCapitalsLW/RW7821044062843112918.60%415922.8431414220001182156.90%5800011.2501000120
18Hunter SkinnerBears (WSH)D18279412037822899.09%2333518.63112529000034100.00%000000.5400000001
19Peter AbbandonatoBears (WSH)C7021300051393522.22%01121.60213313000060064.71%5100000.5300000000
20Alexandre FortinBears (WSH)C/LW22011020000000.00%1170.800110200001000100.00%100001.1400000000
21Jesper SellgrenBears (WSH)D12011580964220.00%1217414.510000000005000.00%000000.1100000000
Statistiques d’équipe totales ou en moyenne132535262197328645915179119403293959237610.69%7682244716.947012919957121156814321370512253.07%716200170.87410102434547
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
1Garret SparksBears (WSH)57351710.9053.2730316316517400300.5004564323
2Ivan ProsvetovBears (WSH)3014510.9103.12138560728020100.00002246203
3David TendeckBears (WSH)74200.9063.0030000151590000.6673224000
Statistiques d’équipe totales ou en moyenne94532420.9073.21471712325227010400.57178074526


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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexandre FortinBears (WSH)C/LW252/25/1997Yes184 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Daniil ChechelevBears (WSH)G212/23/2001No187 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
David TendeckBears (WSH)G2311/25/1999No173 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Dillon HeatheringtonBears (WSH)D275/9/1995No215 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Egor SokolovBears (WSH)LW/RW226/7/2000Yes222 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Garret SparksBears (WSH)G296/28/1993No220 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Hunter SkinnerBears (WSH)D214/29/2001Yes182 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Ivan ProsvetovBears (WSH)G233/5/1999Yes195 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jake ElmerBears (WSH)RW2412/31/1998Yes182 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jesper SellgrenBears (WSH)D246/11/1998Yes169 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jimmy HuntingtonBears (WSH)C2411/18/1998Yes204 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Kiefer SherwoodBears (WSH)C/LW/RW273/31/1995No194 Lbs6 ft0NoNoNo2Pro & Farm953,700$953,700$0$0$No953,700$Lien / Lien NHL
Leon GawankeBears (WSH)D235/31/1999Yes186 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Lucas JohansenBears (WSH)D2511/16/1997Yes176 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Mareks MitensBears (WSH)G241/29/1998Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Matt KierstedBears (WSH)D244/14/1998Yes181 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Mike HardmanBears (WSH)C/LW/RW232/5/1999Yes205 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Nathan SmithBears (WSH)C2410/19/1998Yes177 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Nils LundkvistBears (WSH)D227/27/2000Yes187 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Parker KellyBears (WSH)C/LW/RW235/14/1999Yes188 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Peter AbbandonatoBears (WSH)C243/25/1998Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Peyton KrebsBears (WSH)C/LW211/26/2001Yes185 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Simon RyforsBears (WSH)C/LW258/16/1997Yes181 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Thomas NovakBears (WSH)C254/28/1997Yes179 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Tyrell GoulbourneBears (WSH)LW/RW281/26/1994No203 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Vasily PodkolzinBears (WSH)RW216/24/2001Yes190 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Victor BerglundBears (WSH)D238/2/1999Yes165 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Viktor LodinBears (WSH)C/LW236/2/1999Yes185 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.86189 Lbs6 ft12.32901,025$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyPeyton KrebsMike Hardman40122
2Egor SokolovKiefer SherwoodVasily Podkolzin30122
3Viktor LodinThomas NovakNathan Smith20122
4Simon RyforsNathan SmithPeyton Krebs10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedLucas Johansen40122
2Leon Gawanke30122
3Jimmy Huntington20122
4Matt KierstedLucas Johansen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyPeyton KrebsMike Hardman60122
2Egor SokolovKiefer SherwoodVasily Podkolzin40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedLucas Johansen60122
2Leon Gawanke40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsParker Kelly60122
2Mike HardmanKiefer Sherwood40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedLucas Johansen60122
2Leon Gawanke40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Peyton Krebs60122Matt KierstedLucas Johansen60122
2Parker Kelly40122Leon Gawanke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsParker Kelly60122
2Mike HardmanKiefer Sherwood40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedLucas Johansen60122
2Leon Gawanke40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyPeyton KrebsMike HardmanMatt KierstedLucas Johansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyPeyton KrebsMike HardmanMatt KierstedLucas Johansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter Abbandonato, Alexandre Fortin, Thomas NovakPeter Abbandonato, Alexandre FortinThomas Novak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Leon Gawanke, Leon Gawanke,
Tirs de pénalité
Peyton Krebs, Parker Kelly, Mike Hardman, Kiefer Sherwood, Vasily Podkolzin
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Peyton Krebs, Parker Kelly, Mike Hardman, Kiefer Sherwood, Vasily Podkolzin, Egor Sokolov, Egor Sokolov, Thomas Novak, Nathan Smith, Jimmy Huntington, Viktor Lodin
Lignes de défense personnalisées en prolongation
Matt Kiersted, Lucas Johansen, Leon Gawanke, ,


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
TotalDomicileVisiteur
# 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
1Admirals2110000078-11010000035-21100000043120.5007132000147109101810410481170112637742011545120.00%20100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
2Americans31200000812-420200000511-61100000031220.33381624001471091018115104811701126371143416608225.00%8187.50%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
3Barracuda22000000155101100000010461100000051441.000152742001471091018931048117011263783311858200.00%70100.00%11703319753.27%1492289151.61%737143051.54%2061147018535721035530
4Bruins32100000151501010000058-322000000107340.6671527420014710910181151048117011263712435127713538.46%5260.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
5Checkers32100000169722000000143111010000026-440.667163046001471091018112104811701126371012610689222.22%5180.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
6Comets211000001082110000008441010000024-220.5001017270014710910181221048117011263766186614250.00%330.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
7Condors220000001073110000005411100000053241.0001018280014710910186710481170112637692412415120.00%6350.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
8Crunch31200000811-3110000005322020000038-520.3338132100147109101811810481170112637872614587342.86%70100.00%11703319753.27%1492289151.61%737143051.54%2061147018535721035530
9Devils4400000027121522000000157822000000125781.00027517800147109101826310481170112637134392411111327.27%11372.73%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
10Eagles2110000068-21010000026-41100000042220.50061218001471091018731048117011263763208537114.29%4250.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
11Firebirds20100001810-21000000167-11010000023-110.250815230014710910185510481170112637721822434250.00%9277.78%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
12Griffins321000001761122000000142121010000034-140.667172946011471091018131104811701126377222146612433.33%60100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
13Gulls21000010725110000005141000001021141.000711180014710910186910481170112637701910386116.67%50100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
14IceHogs21100000550110000004311010000012-120.500591400147109101859104811701126377223847900.00%40100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
15Marlies3210000015871100000051421100000107340.667152944001471091018113104811701126378419147713430.77%7185.71%11703319753.27%1492289151.61%737143051.54%2061147018535721035530
16Monsters43100000171162200000010642110000075260.750172744001471091018172104811701126379038378220735.00%11463.64%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
17Moose2110000059-41010000005-51100000054120.50059140014710910186810481170112637862616395120.00%7271.43%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
18Penguins31101000871210010007431010000013-240.667813210014710910181171048117011263710032265112216.67%13284.62%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
19Phantoms422000001518-32110000079-22110000089-140.5001527420014710910181521048117011263715142268414214.29%11372.73%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
20Reign21100000550110000004221010000013-220.50051015001471091018551048117011263763221452800.00%6183.33%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
21Roadrunners21100000990110000006241010000037-420.5009182700147109101887104811701126379029848300.00%40100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
22Rocket32000010181352100001013941100000054161.0001832500014710910181261048117011263711527227816743.75%11281.82%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
23Senators3100100113112100010005412100000187150.8331324370014710910181091048117011263712735178112433.33%6350.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
24Silver Knights22000000624110000003121100000031241.000610160014710910186810481170112637632416584125.00%60100.00%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
25Sound Tigers44000000261016220000001046220000001661081.0002645710014710910182291048117011263714740209611545.45%9277.78%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
26Stars2010010068-21010000034-11000010034-110.250611170014710910185410481170112637682414409222.22%7271.43%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
27Thunderbirds2010100011110100010008711010000034-120.5001122330014710910187810481170112637791912485120.00%6183.33%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
28Wild2100100014122110000007611000100076141.000142539001471091018951048117011263773196418337.50%3166.67%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
29Wolf Pack422000001314-1211000008802110000056-140.5001322350014710910181461048117011263717940309117317.65%14564.29%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
30Wolves321000001293110000003032110000099040.667122032011471091018132104811701126379721187616425.00%9277.78%01703319753.27%1492289151.61%737143051.54%2061147018535721035530
31Wranglers220000001129110000004221100000070741.0001120310114710910187410481170112637731720447228.57%8275.00%31703319753.27%1492289151.61%737143051.54%2061147018535721035530
Total824825041223632778641279030112041426241211601111159135241110.6773636521015031471091018337110481170112637288682950119212827526.60%2205077.27%61703319753.27%1492289151.61%737143051.54%2061147018535721035530
_Since Last GM Reset824825041223632778641279030112041426241211601111159135241110.6773636521015031471091018337110481170112637288682950119212827526.60%2205077.27%61703319753.27%1492289151.61%737143051.54%2061147018535721035530
_Vs Conference4626150201220916742231450201111984352312100000190837600.652209379588001471091018197910481170112637169146026710841544629.87%1233075.61%21703319753.27%1492289151.61%737143051.54%2061147018535721035530
_Vs Division26148010001188137138301000603822136500000584315300.5771182053230114710910181211104811701126378982521815911012625.74%782173.08%01703319753.27%1492289151.61%737143051.54%2061147018535721035530

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82111W5363652101533712886829501192103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8248254122363277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412793011204142
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121161111159135
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
2827526.60%2205077.27%6
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
104811701126371471091018
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
1703319753.27%1492289151.61%737143051.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2061147018535721035530


Derniers matchs 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 - 2022-10-124Bruins8Bears5BLSommaire du match
3 - 2022-10-1315Bears9Marlies4AWSommaire du match
5 - 2022-10-1529Rocket5Bears8BWSommaire du match
7 - 2022-10-1743Comets4Bears8BWSommaire du match
10 - 2022-10-2065Bears3Senators1AWSommaire du match
12 - 2022-10-2280Reign2Bears4BWSommaire du match
14 - 2022-10-2493Bears6Devils2AWSommaire du match
17 - 2022-10-27117Bears3Stars4ALXSommaire du match
19 - 2022-10-29136Bears4Admirals3AWSommaire du match
21 - 2022-10-31145Bears5Wolves4AWSommaire du match
22 - 2022-11-01150Silver Knights1Bears3BWSommaire du match
24 - 2022-11-03164Bears3Griffins4ALSommaire du match
26 - 2022-11-05179Roadrunners2Bears6BWSommaire du match
28 - 2022-11-07195Condors4Bears5BWSommaire du match
30 - 2022-11-09208Penguins2Bears4BWSommaire du match
32 - 2022-11-11222Crunch3Bears5BWSommaire du match
34 - 2022-11-13242Bears2Crunch6ALSommaire du match
36 - 2022-11-15253Bears2Checkers6ALSommaire du match
38 - 2022-11-17269Bears3Thunderbirds4ALSommaire du match
40 - 2022-11-19279Eagles6Bears2BLSommaire du match
44 - 2022-11-23312Phantoms6Bears3BLSommaire du match
46 - 2022-11-25322Wranglers2Bears4BWSommaire du match
47 - 2022-11-26336Bears6Devils3AWSommaire du match
50 - 2022-11-29359Bears2Comets4ALSommaire du match
52 - 2022-12-01374Bears2Firebirds3ALSommaire du match
54 - 2022-12-03390Bears7Wranglers0AWSommaire du match
56 - 2022-12-05400Bears5Condors3AWSommaire du match
58 - 2022-12-07413Bears1Phantoms6ALSommaire du match
60 - 2022-12-09427Firebirds7Bears6BLXXSommaire du match
62 - 2022-12-11446Bears5Moose4AWSommaire du match
64 - 2022-12-13463Bears1IceHogs2ALSommaire du match
66 - 2022-12-15471Stars4Bears3BLSommaire du match
68 - 2022-12-17491Marlies1Bears5BWSommaire du match
70 - 2022-12-19503Griffins2Bears9BWSommaire du match
73 - 2022-12-22528Bears5Senators6ALXXSommaire du match
74 - 2022-12-23537Moose5Bears0BLSommaire du match
78 - 2022-12-27549Bears1Wolf Pack3ALSommaire du match
80 - 2022-12-29566Senators4Bears5BWXSommaire du match
82 - 2022-12-31581Rocket4Bears5BWXXSommaire du match
85 - 2023-01-03599Americans7Bears2BLSommaire du match
87 - 2023-01-05617Bears3Monsters4ALSommaire du match
88 - 2023-01-06622Admirals5Bears3BLSommaire du match
90 - 2023-01-08639Monsters2Bears5BWSommaire du match
93 - 2023-01-11659Bears7Phantoms3AWSommaire du match
96 - 2023-01-14681Phantoms3Bears4BWSommaire du match
98 - 2023-01-16702Bears9Sound Tigers4AWSommaire du match
99 - 2023-01-17707Wild6Bears7BWSommaire du match
101 - 2023-01-19726Bears3Roadrunners7ALSommaire du match
103 - 2023-01-21745Bears3Silver Knights1AWSommaire du match
106 - 2023-01-24764Bears4Eagles2AWSommaire du match
108 - 2023-01-26773Penguins2Bears3BWXSommaire du match
111 - 2023-01-29800Bears1Marlies3ALSommaire du match
113 - 2023-01-31804Bears4Monsters1AWSommaire du match
124 - 2023-02-11838Bears5Bruins3AWSommaire du match
125 - 2023-02-12847Barracuda4Bears10BWSommaire du match
127 - 2023-02-14855Wolves0Bears3BWSommaire du match
129 - 2023-02-16870Checkers1Bears6BWSommaire du match
131 - 2023-02-18889Bears4Wolves5ALSommaire du match
134 - 2023-02-21909Griffins0Bears5BWSommaire du match
136 - 2023-02-23920Gulls1Bears5BWSommaire du match
138 - 2023-02-25937Wolf Pack5Bears6BWSommaire du match
139 - 2023-02-26947Bears3Americans1AWSommaire du match
142 - 2023-03-01973Bears2Gulls1AWXXSommaire du match
145 - 2023-03-04992Bears5Barracuda1AWSommaire du match
147 - 2023-03-061011Bears1Reign3ALSommaire du match
150 - 2023-03-091029Devils1Bears6BWSommaire du match
152 - 2023-03-111048Bears7Sound Tigers2AWSommaire du match
155 - 2023-03-141067Bears4Wolf Pack3AWSommaire du match
156 - 2023-03-151076Americans4Bears3BLSommaire du match
158 - 2023-03-171093Thunderbirds7Bears8BWXSommaire du match
160 - 2023-03-191109Bears7Wild6AWXSommaire du match
162 - 2023-03-211121Monsters4Bears5BWSommaire du match
164 - 2023-03-231135IceHogs3Bears4BWSommaire du match
166 - 2023-03-251162Bears1Penguins3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
170 - 2023-03-291187Sound Tigers1Bears3BWSommaire du match
171 - 2023-03-301194Bears1Crunch2ALSommaire du match
174 - 2023-04-021217Wolf Pack3Bears2BLSommaire du match
178 - 2023-04-061247Bears5Rocket4AWSommaire du match
180 - 2023-04-081262Checkers2Bears8BWSommaire du match
182 - 2023-04-101278Sound Tigers3Bears7BWSommaire du match
183 - 2023-04-111290Bears5Bruins4AWSommaire du match
185 - 2023-04-131301Devils6Bears9BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance41,29125,455
Assistance PCT50.35%62.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1628 - 54.27% 78,773$3,229,703$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,181,458$ 2,522,870$ 2,522,870$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,637$ 2,566,005$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,880$ 0$




Bears Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Michael Sgarbossa730623655062742713812094352522207254059.31%229714199419.44281884116530002848683526816756.40%841.0588348
2Owen Tippett5817352632906816316913328906110792358114.95%100812644721.7465842310814279828116390273424552.09%2441.080165
3Nikolai Knyzhov60441056455756131688932212148619108279.75%798914630724.214871056154347960008102430.00%00.7700
4Gaetan Haas639525332785531832713225151160622055412.32%245610792216.88407328735171581081162165155.00%1630.990244
5Kiefer Sherwood5421232429805304146149851577118408236699.82%246712955923.90169989115830568208289425016554.39%820.82162325

Bears Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jimmy Howard6318332121064860.8983.513514501134162205742022570324810.7501296
2Jeremy Helvig1296243405810.9043.45492850028352956508100.0000
3Joacim Eriksson292105117260.8903.7315237164948863228341210.713122
4Barry Brust1806896120.8873.411028510858451533155530.62540
5Garret Sparks111663270.9113.19615012532736650500.5717

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
58037300336122618937401713033401138924402017000211131001396226367593010060867122010692789706247092073220661985929.80%1513974.17%7677130651.84%731148749.16%537109649.00%151967017729691807926
6803726081352912415040191205112163118454018140302312812351022914837740607310410326250810893885230174473920502236328.25%1864476.34%6909171453.03%851159653.32%687127154.05%1602784378420521722851
77640290013326524025382213001021371092838181600031128131-3902654226870606111190239807458078332194735100020762085425.96%2185574.77%14841160652.37%721140251.43%639121952.42%151573014397721636815
876303303325268278-10381814011041441341038121902221124144-2078268421689030709994255508519577302296723102520692105325.24%2286073.68%11905174251.95%796156051.03%557110750.32%155577814487741595787
98043240543130923871402012032301461212540231202201163117461073095028112306612511027700883981872230377573421322005326.50%1965074.49%8894180149.64%827168549.08%550116247.33%160879815308161696830
1080283905224232281-494020130311213012554082602112102156-547623237861024052928125730788904852245182178620881764425.00%2007065.00%2947173554.58%703137651.09%566110151.41%157776515438151721847
1180195002612154289-135409280110165134-694010220151189155-665215425140504036536217050429586673225067959118611543321.43%1976765.99%3623126949.09%646133048.57%47295949.22%139854015558611872945
12763426043722652362938181502021128123538161102351137113249526542969451082848827640860952929266684970320282045225.49%2295376.86%4930181951.13%919176452.10%571110651.63%152877315557721534750
1380234004274270369-9940121803043141187-4640112201231129182-53742704327020105710210027810820988935277095473924602076430.92%2477470.04%10939184350.95%711144649.17%605121449.84%160679816348121630796
1480254500424248316-6840142200112125157-3240112300312123159-3662248403651300647910328030936980871279395388222592155324.65%2476772.87%1983186952.59%870171550.73%630118453.21%161482416188041604779
15802432083310228237-94015110513512111384092103205107124-178322837260013044839020430525691778272596361016091876434.22%2366472.88%3718142750.32%939191748.98%515101850.59%139957317008511788906
1676214300264199255-5638122200121102121-19389210014397134-376019934454303070715221020707684691257475751715762214821.72%2245077.68%11042235344.28%1100256042.97%508120942.02%164510981976586992476
1780233900468214273-5940122000314112137-2540111900154102136-347021436057431076686423330757769782278781940014642404518.75%1733878.03%21137248945.68%1263282144.77%565125644.98%1753118420716091052504
1876214302514225271-4638131901302129135-6388240121296136-405722539962402089745922870716814736268973263015892183516.06%2704981.85%41196241149.61%1241265946.67%583124047.02%164511021976585982469
1982204901624203304-10141112201304110161-51419270032093143-505620336456703079705123440779758792255678056816581823217.58%2515976.49%11285250651.28%1117237746.99%660132849.70%1887128920096111063520
2082233806744223259-3641101803433113124-1141132003311110135-257722339161422078617425180874764832263577974319172955117.29%3047675.00%31476280752.58%1440283150.87%664126952.32%1981135219316181076540
2182343403614277298-2141181601312143151-841161802302134147-13862775097863109797793030010261008960288782560420102585521.32%2365576.69%41637307053.32%1497291151.43%708135652.21%2057146118765761028520
228236320381229527421412212015011661165041142002311129158-2990295510805320124907731160100510701013311889059019442476024.29%2494880.72%41607307752.23%1552315849.15%712138851.30%1915133119926031044515
238240310252231729225412015021121671392841201600410150153-395317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-395317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
238240310252231729225412015021121671392841201600410150153-39531756688312010911391303509841030998286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
2022824825041223632778641279030112041426241211601111159135241113636521015031471091018337110481170112637288682950119212827526.60%2205077.27%61703319753.27%1492289151.61%737143051.54%2061147018535721035530
Total Saison régulière2248926956079116809176087753-145112448944405443365839953748247112443751202573443336134005-3922377760813083206913376365237626232105756343016243212572721971751182293419493559836330145222.94%6989169875.70%121356866799552.48%336456661250.51%183603546851.76%501083115152184203453631018050
Séries éliminatoires
511470000042366624000002220252300000201648427211400081518432014113415033011811337133412.12%21290.48%114826555.85%11624746.96%8118643.55%23011719801082233111
614770000040400835000002125-464200000191541440671070101314114150166147933771223844939512.82%100100.00%013725453.94%14327352.38%11219457.73%28713840462195311157
71257000003951-12514000001727-10743000002224-210396710600061616425010817213242614911138119421.05%38976.32%114227352.01%12224549.80%9818652.69%246131243118242112
9241590000086731314113000005945141046000002728-130861392250001829359270276322293849278166686541425.93%631773.02%032665250.00%26860344.44%17437646.28%516276502247493240
12231490000078744127500000464331174000003231128781171952101527348420251296284886322236638401230.00%631576.19%127453151.60%30459850.84%17834651.45%449229504225445216
227340000025214321000001495413000001112-1625467101081072670799186252574215222522.73%19194.74%015827457.66%15525660.55%5810953.21%191137155488947
2373400000242223120000011101422000001312162442660108962240778556232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146
Total Séries éliminatoires9851470000033431717512724000001901791147242300000144138610233455088424076120127353201098124710943352111677028562284720.61%2415079.25%41297247952.32%1247248850.12%764152150.23%20841141761139711907931

Bears Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Michael Sgarbossa371620368327510215110.60%2175720.482241701136054.93%00.9500
2Dan Sexton2415203594434713411.19%2156723.663691700012030.39%01.2300
3Andrew Gordon35181533-131897813912.95%2477322.1073101500014142.57%10.8500
4Tim Connolly23171532-104686213412.69%3255224.01639800012151.76%01.1600
5Francois Bouchard359152410671511137.96%1058416.71000000003147.37%00.8200

Bears Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Barry Brust2415720.9132.91146415071817391200.0000
2Michael Leighton2314810.9183.1713640172876447120.0000
3Dany Sabourin137600.8952.788000137354168100.0000
4Peter Mannino125600.8933.786510041383203000.0000
5Antti Niemi114610.8913.2366900363300000.0000