Bears
GP: 82 | W: 44 | L: 31 | OTL: 7 | P: 95
GF: 317 | GA: 292 | PP%: 20.82% | PK%: 76.90%
DG: Jean-François Tellier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Monsters
28-49-5, 61pts
4
FINAL
7 Bears
44-31-7, 95pts
Team Stats
W1StreakW6
15-22-4Home Record23-15-3
13-27-1Away Record21-16-4
8-2-0Last 10 Games8-2-0
3.43Buts par match 3.87
4.71Buts contre par match 3.56
21.46%Pourcentage en avantage numérique20.82%
75.57%Pourcentage en désavantage numérique76.90%
Bears
44-31-7, 95pts
4
FINAL
3 Wolf Pack
49-28-5, 103pts
Team Stats
W6StreakSOL1
23-15-3Home Record25-13-3
21-16-4Away Record24-15-2
8-2-0Last 10 Games5-4-1
3.87Buts par match 4.29
3.56Buts contre par match 3.37
20.82%Pourcentage en avantage numérique27.04%
76.90%Pourcentage en désavantage numérique77.38%
Meneurs d'équipe
Jimmy HowardVictoires
Jimmy Howard
41
Jeremy HelvigPourcentage d’arrêts
Jeremy Helvig
0.904

Statistiques d’équipe
Buts pour
317
3.87 GFG
Tirs pour
3035
37.01 Avg
Pourcentage en avantage numérique
20.8%
51 GF
Début de zone offensive
41.3%
Buts contre
292
3.56 GAA
Tirs contre
2863
34.91 Avg
Pourcentage en désavantage numérique
76.9%
70 GA
Début de la zone défensive
40.1%
Information d’équipe

Directeur généralJean-François Tellier
EntraîneurGlen Gulutzan
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineAndrew MacWilliam
Assistant #1Gustav Nyquist
Assistant #2Trevor Carrick


Informations de l’aréna

Capacité3,000
Assistance2,545
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 80
Espoirs41


Historique d'équipe

Saison actuelle44-31-7 (95PTS)
Historique679-683-132 (0.454%)
Apparitions séries éliminatoires 6
Historique séries éliminatoires (W-L)48-43
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
1Michael Sgarbossa0X100.00613594687178796775666364657773075660291950,000$
2Gaetan Haas0X100.00713593687284926672646367667669075660292700,000$
3Owen Tippett0XX100.00793595677981747259706755696365075660222925,000$
4Riley Nash0XX100.007235926478857663816662766180730756603212,500,000$
5Kiefer Sherwood0XXX100.00893593667379716570666563677166075660263953,700$
6Egor Sokolov (R)0XX100.00798187638879856456616562666163075650213925,000$
7Parker Kelly0XXX100.00793591646674786368627169676362075650222950,000$
8Tommy Novak0X100.00643591647381866577665961636764075640242700,000$
9Jakob Lilja0X100.00573595627765696357636163627568075630282950,000$
10Lean Bergmann0XXX100.00834680628169726364626057626563075630232700,000$
11Danil Yurtaykin0XX100.00563594616583776356626059616764075620242950,000$
12Lukas Jasek0XX100.00563788606581866075635857596764075610242950,000$
13Nikolai Knyzhov0X100.00813878658480776430675869506566075650232750,000$
14Urho Vaakanainen0X100.00583595637480736230665775506362075630231925,000$
15Dillon Heatherington0X100.00816571599088935730565264457166075620263750,000$
16Johnathan Kovacevic0X100.00825373578876815630595561476764075610242700,000$
17John Ludvig (R)0X100.00715769608070655730655659496161075600213925,000$
Rayé
1Samuel Morin (R)0X100.00798265599376686155586064567167075630263925,000$
2Drake Rymsha0X100.00663584577279755864595857596563075600231950,000$
3Peter Abbandonato0X100.00623592587167745772595856586563075600232950,000$
4Alexandre Fortin0XX100.00623690597173785853575556626764075600243700,000$
5Jimmy Huntington0X100.00663987557580755772565455556563075590232950,000$
6Skyler McKenzie0X100.00593788596182835753565852596563075590232950,000$
7Tyrell Goulbourne0XX100.00645866547375805255515356527367075580273750,000$
8Igor Shvyrev0X100.00683690527781865254515554586563075580231999,999$
9Leon Gawanke0X100.00663987597576815830615457466362075600222925,000$
10Evan McEneny0X100.00725274548173755330515556467367075590271950,000$
11Ole Bjorgvik-Holm0X100.00693483577872775930585356465961075590192950,000$
12Hunter Skinner0X100.00683986537760655330535556466060075580203750,000$
13Michael Paliotta0X100.00795670528860655230535057457568075580281950,000$
14Joshua Anderson0X100.00804383518960655130505457456563075580232950,000$
MOYENNE D’ÉQUIPE100.0070438560777677605260586056676507562
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
1Jimmy Howard100.0075787281747375747375748791075670372750,000$
2Jeremy Helvig100.0075686684747375747375746771075650241925,000$
Rayé
1Ivan Prosvetov100.0073808384727173727173726367075640222925,000$
2Garret Sparks100.0071858384706971706971707581075640283750,000$
3Richard Bachman100.0068778570676668676668678488075630342750,000$
MOYENNE D’ÉQUIPE100.007278788171707271707271758007565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan67737268746976CAN491750,000$


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
1Michael SgarbossaBears (WSH)C822759861922031257289902239.34%26159419.443101334140011102263256.58%188400011.0814000720
2Owen TippettBears (WSH)LW/RW71434083391601081342867719215.03%12154121.71851352173112111919352.22%20300031.08020001152
3Nikolai KnyzhovBears (WSH)D7413566921101026110613359759.77%98179524.2661319591910001182030.00%000100.7700101234
4Gaetan HaasBears (WSH)C783134654160621962515520012.35%30131716.89549217110121622054.96%159400020.9903000441
5Kiefer SherwoodBears (WSH)C/LW/RW6528366418615192224286722169.79%30156624.102121437169101112053254.39%224500110.8224000634
6Parker KellyBears (WSH)C/LW/RW64302757211401321032716116811.07%9109517.1245949160000084150.57%8700001.0401000226
7Egor SokolovBears (WSH)LW/RW82233154-7541013599267842138.61%16153518.735813491960000225146.51%12900000.7001101036
8Lean BergmannBears (WSH)C/LW/RW7725265120795212841704912914.71%12123616.0633623139000096148.33%12000000.8200000525
9Urho VaakanainenBears (WSH)D686424801001714413739774.38%127168924.84369731650002213100.00%000000.5700000032
10Dillon HeatheringtonBears (WSH)D7673845196001886710134786.93%105165921.8331013461840111208010.00%000000.5400000041
11Jakob LiljaBears (WSH)LW74182644910036951755312510.29%1390712.262139150003502350.00%8400000.9700000014
12Johnathan KovacevicBears (WSH)D8211273823104102125799297011.11%110170520.806915461810111217200.00%000000.4500100320
13Danil YurtaykinBears (WSH)LW/RW731126370202677126371178.73%1087311.97000070000144044.87%7800000.8500000042
14Tommy NovakBears (WSH)C829233201004811411836837.63%4392911.33000280000141055.32%55500000.6900000111
15Samuel MorinBears (WSH)LW791317301140015460120417910.83%177499.490003120000370052.38%6300000.8000000013
16John LudvigBears (WSH)D371111222208423224124.55%4357315.49022311000047000.00%000000.4200000001
17Ole Bjorgvik-HolmBears (WSH)D302911316056181441514.29%3645615.23000212000020000.00%000000.4800000011
18Lukas JasekBears (WSH)C/RW44459-60015345116357.84%53347.6000001000080045.45%9900000.5400000010
19Riley NashBears (WSH)C/RW6268920317345245.88%312220.37112817000000075.00%2000001.3100000001
20Evan McEnenyBears (WSH)D23257-3100499103720.00%1833714.6700000000022000.00%000000.4100000000
21Peter AbbandonatoBears (WSH)C40167320159196195.26%31583.9600000000070041.89%7400000.8800000000
22Leon GawankeBears (WSH)D71566004480412.50%1014921.30000320000019000.00%000000.8000000000
23Alexandre FortinBears (WSH)C/LW28415-200792371117.39%21445.1700023000130030.26%7600000.6900000000
Statistiques d’équipe totales ou en moyenne134231255686819066040204719403010861217210.37%7782247216.7551891405211888347431897421754.19%731100270.77315302414244
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
1Jimmy HowardBears (WSH)78412660.8983.51433814225424970410.75016775420
2Jeremy HelvigBears (WSH)163510.9043.4560800353650100.0000577000
Statistiques d’équipe totales ou en moyenne94443170.8993.51494714228928620510.750168282420


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/LW242/25/1997No184 Lbs6 ft0NoNoNo3Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$700,000$Lien / Lien NHL
Danil YurtaykinBears (WSH)LW/RW247/1/1997No165 Lbs5 ft11NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Dillon HeatheringtonBears (WSH)D265/9/1995No220 Lbs6 ft4NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien / Lien NHL
Drake RymshaBears (WSH)C238/6/1998No187 Lbs6 ft0NoNoNo1Pro & Farm950,000$5,249$950,000$5,249$0$0$NoLien / Lien NHL
Egor SokolovBears (WSH)LW/RW216/7/2000Yes222 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$
Evan McEnenyBears (WSH)D275/22/1994No203 Lbs6 ft2NoNoNo1Pro & Farm950,000$5,249$950,000$5,249$0$0$NoLien / Lien NHL
Gaetan HaasBears (WSH)C291/31/1992No181 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Garret SparksBears (WSH)G286/28/1993No201 Lbs6 ft3NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien / Lien NHL
Hunter SkinnerBears (WSH)D204/29/2001No182 Lbs6 ft2NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Igor ShvyrevBears (WSH)C237/10/1998No200 Lbs6 ft1NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Ivan ProsvetovBears (WSH)G223/5/1999No175 Lbs6 ft5NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Jakob LiljaBears (WSH)LW287/23/1993No196 Lbs6 ft1NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Jeremy HelvigBears (WSH)G245/25/1997No188 Lbs6 ft4NoNoNo1Pro & Farm925,000$5,110$925,000$5,110$0$0$NoLien / Lien NHL
Jimmy HowardBears (WSH)G373/26/1984No218 Lbs6 ft1NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Jimmy HuntingtonBears (WSH)C2311/18/1998No204 Lbs6 ft0NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
John LudvigBears (WSH)D218/2/2000Yes213 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Johnathan KovacevicBears (WSH)D247/12/1997No208 Lbs6 ft4NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Joshua AndersonBears (WSH)D238/29/1998No230 Lbs6 ft3NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Kiefer SherwoodBears (WSH)C/LW/RW263/31/1995No194 Lbs6 ft0NoNoNo3Pro & Farm953,700$5,269$953,700$5,269$0$0$No953,700$953,700$Lien / Lien NHL
Lean BergmannBears (WSH)C/LW/RW2310/4/1998No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Leon GawankeBears (WSH)D225/31/1999No186 Lbs6 ft1NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Lukas JasekBears (WSH)C/RW248/28/1997No165 Lbs5 ft11NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Michael PaliottaBears (WSH)D284/6/1993No207 Lbs6 ft4NoNoNo1Pro & Farm950,000$5,249$950,000$5,249$0$0$NoLien / Lien NHL
Michael SgarbossaBears (WSH)C297/25/1992No182 Lbs6 ft0NoNoNo1Pro & Farm950,000$5,249$950,000$5,249$0$0$NoLien / Lien NHL
Nikolai KnyzhovBears (WSH)D233/20/1998No218 Lbs6 ft2NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Ole Bjorgvik-HolmBears (WSH)D195/23/2002No190 Lbs6 ft2NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien
Owen TippettBears (WSH)LW/RW222/16/1999No207 Lbs6 ft1NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Parker KellyBears (WSH)C/LW/RW225/14/1999No168 Lbs5 ft11NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Peter AbbandonatoBears (WSH)C233/25/1998No195 Lbs5 ft11NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Richard BachmanBears (WSH)G347/25/1987No183 Lbs5 ft10NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Riley Nash (contrat à 1 volet)Bears (WSH)C/RW325/9/1989No188 Lbs6 ft2NoNoYes1Pro & Farm2,500,000$13,812$2,500,000$13,812$2,500,000$13,812$NoLien / Lien NHL
Samuel MorinBears (WSH)LW267/12/1995Yes202 Lbs6 ft6NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Skyler McKenzieBears (WSH)LW231/20/1998No154 Lbs5 ft8NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$Lien / Lien NHL
Tommy NovakBears (WSH)C244/28/1997No179 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Tyrell GoulbourneBears (WSH)LW/RW271/26/1994No203 Lbs5 ft11NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien / Lien NHL
Urho VaakanainenBears (WSH)D231/1/1999No185 Lbs6 ft1NoNoNo1Pro & Farm925,000$5,110$550,000$3,039$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.92194 Lbs6 ft12.03915,381$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Owen TippettKiefer SherwoodRiley Nash40122
2Egor SokolovMichael SgarbossaParker Kelly30122
3Jakob LiljaGaetan HaasLean Bergmann20122
4Tommy NovakDanil Yurtaykin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovUrho Vaakanainen40122
2Dillon HeatheringtonJohnathan Kovacevic30122
3John LudvigTommy Novak20122
4Nikolai KnyzhovUrho Vaakanainen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Owen TippettKiefer SherwoodRiley Nash60122
2Egor SokolovMichael SgarbossaParker Kelly40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovUrho Vaakanainen60122
2Dillon HeatheringtonJohnathan Kovacevic40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodMichael Sgarbossa60122
2Gaetan HaasOwen Tippett40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovUrho Vaakanainen60122
2Dillon HeatheringtonJohnathan Kovacevic40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kiefer Sherwood60122Nikolai KnyzhovUrho Vaakanainen60122
2Michael Sgarbossa40122Dillon HeatheringtonJohnathan Kovacevic40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodMichael Sgarbossa60122
2Gaetan HaasOwen Tippett40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovUrho Vaakanainen60122
2Dillon HeatheringtonJohnathan Kovacevic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Owen TippettKiefer SherwoodRiley NashNikolai KnyzhovUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Owen TippettKiefer SherwoodRiley NashNikolai KnyzhovUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lukas Jasek, Jakob Lilja, Lean BergmannLukas Jasek, Jakob LiljaLean Bergmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Ludvig, Dillon Heatherington, Johnathan KovacevicJohn LudvigDillon Heatherington, Johnathan Kovacevic
Tirs de pénalité
Kiefer Sherwood, Michael Sgarbossa, Gaetan Haas, Owen Tippett, Riley Nash
Gardien
#1 : Jimmy Howard, #2 : Jeremy Helvig
Lignes d’attaque personnalisées en prolongation
Kiefer Sherwood, Michael Sgarbossa, Gaetan Haas, Owen Tippett, Riley Nash, Egor Sokolov, Egor Sokolov, Parker Kelly, Tommy Novak, Jakob Lilja, Lean Bergmann
Lignes de défense personnalisées en prolongation
Nikolai Knyzhov, Urho Vaakanainen, Dillon Heatherington, Johnathan Kovacevic, John Ludvig


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
1Admirals21100000761110000005321010000023-120.500712190010911391673984103099839551914549333.33%7271.43%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
2Americans312000001216-41100000054120200000712-520.333122032001091139161179841030998391302522959222.22%11554.55%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
3Barracuda20200000511-61010000035-21010000026-400.00058130010911391681984103099839862722586116.67%9455.56%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
4Bruins31200000710-3211000006511010000015-420.333714210010911391694984103099839138473071900.00%15193.33%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
5Checkers330000001367110000004222200000094561.00013243700109113916103984103099839832414847342.86%6266.67%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
6Comets22000000936110000006241100000031241.000916250010911391662984103099839621718528225.00%90100.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
7Condors2020000039-61010000034-11010000005-500.000369001091139166098410309983968231237200.00%6183.33%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
8Crunch33000000198112200000013581100000063361.00019315000109113916151984103099839902622768112.50%9277.78%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
9Devils30200010913-42010001078-11010000025-320.3339152400109113916124984103099839863116811200.00%8187.50%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
10Eagles20100001710-31000000134-11010000046-210.250714210010911391695984103099839702116559222.22%8362.50%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
11Firebirds210001006601000010023-11100000043130.750611170010911391671984103099839632110597114.29%3166.67%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
12Griffins31200000710-31010000035-22110000045-120.3337121900109113916979841030998391172926823133.33%13376.92%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
13Gulls20101000810-2100010006511010000025-320.500814220010911391654984103099839671820563133.33%10190.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
14Heat220000001037110000007161100000032141.0001019290010911391659984103099839561418514125.00%70100.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
15IceHogs211000008711010000035-21100000052320.500815230010911391674984103099839571613596350.00%40100.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
16Marlies330000001587220000009451100000064261.00015264101109113916123984103099839992141797114.29%14471.43%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
17Monsters421001001717022000000125720100100512-750.62517314800109113916177984103099839152334411912216.67%20765.00%11693310654.51%1581301452.46%766139554.91%2025142418795861047526
18Moose22000000844110000004131100000043141.0008162400109113916769841030998395110442500.00%2150.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
19Penguins413000001617-12110000097220200000710-320.25016274300109113916166984103099839134325110115213.33%20670.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
20Phantoms411011001314-12010100067-12100010077050.6251323360010911391615298410309983913541419313323.08%11190.91%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
21Reign21100000660110000003121010000035-220.500611171010911391676984103099839491917523133.33%6183.33%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
22Roadrunners211000009901010000035-21100000064220.500914230010911391664984103099839711833626350.00%10370.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
23Rocket311001001012-21010000036-32100010076130.5001020300010911391697984103099839962930896116.67%14471.43%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
24Senators330000001679220000009541100000072561.00016304600109113916999841030998399543247013215.38%11554.55%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
25Silver Knights22000000936110000004311100000050541.000915240110911391691984103099839752516398225.00%80100.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
26Sound Tigers4400000026101622000000135822000000135881.00026497500109113916160984103099839169543610615533.33%18383.33%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
27Stars20100100810-21010000045-11000010045-110.250814220010911391665984103099839841922366116.67%10280.00%11693310654.51%1581301452.46%766139554.91%2025142418795861047526
28Thunderbirds20100001512-71000000145-11010000017-610.25059140010911391679984103099839872914465120.00%7185.71%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
29Wild2110000089-11010000024-21100000065120.500816240010911391649984103099839802112433133.33%6183.33%11693310654.51%1581301452.46%766139554.91%2025142418795861047526
30Wolf Pack30200010712-51010000005-52010001077020.33371017001091139168698410309983914040226810330.00%9277.78%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
31Wolves422000001414020200000610-42200000084440.50014243800109113916160984103099839118313111916212.50%12375.00%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
Total8240310252231729225412015021121671392841201600410150153-3950.579317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
_Since Last GM Reset8240310252231729225412015021121671392841201600410150153-3950.579317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
_Vs Conference452514013201871513623137011109573222212700210927814590.656187330517011091139161669984103099839159146941011861452920.00%1684076.19%01693310654.51%1581301452.46%766139554.91%2025142418795861047526
_Vs Division2611901110102975135501000534761364001104950-1270.519102179281001091139161025984103099839934262241687931718.28%982376.53%11693310654.51%1581301452.46%766139554.91%2025142418795861047526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8295W631756688330352863823711213412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240312522317292
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120152112167139
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120160410150153
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2455120.82%3037076.90%3
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
984103099839109113916
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
1693310654.51%1581301452.46%766139554.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2025142418795861047526


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 - 2021-10-134Wolf Pack5Bears0BLSommaire du match
5 - 2021-10-1627Crunch3Bears6BWSommaire du match
8 - 2021-10-1944Eagles4Bears3BLXXSommaire du match
10 - 2021-10-2155Bears2Devils5ALSommaire du match
12 - 2021-10-2367Heat1Bears7BWSommaire du match
14 - 2021-10-2584Bears7Senators2AWSommaire du match
16 - 2021-10-2798Griffins5Bears3BLSommaire du match
18 - 2021-10-29113Roadrunners5Bears3BLSommaire du match
21 - 2021-11-01132Bears6Crunch3AWSommaire du match
24 - 2021-11-04152Bears5Checkers2AWSommaire du match
26 - 2021-11-06169Phantoms3Bears4BWXSommaire du match
28 - 2021-11-08180Americans4Bears5BWSommaire du match
31 - 2021-11-11200Bears1Griffins3ALSommaire du match
32 - 2021-11-12209Bears4Monsters5ALXSommaire du match
34 - 2021-11-14228Penguins5Bears4BLSommaire du match
36 - 2021-11-16243Bears2Gulls5ALSommaire du match
37 - 2021-11-17246Bears3Reign5ALSommaire du match
40 - 2021-11-20273Bears2Barracuda6ALSommaire du match
41 - 2021-11-21279Bears4Firebirds3AWSommaire du match
44 - 2021-11-24294Rocket6Bears3BLSommaire du match
46 - 2021-11-26309Checkers2Bears4BWSommaire du match
48 - 2021-11-28326Bears3Wolves1AWSommaire du match
50 - 2021-11-30338Bears4Checkers2AWSommaire du match
52 - 2021-12-02355IceHogs5Bears3BLSommaire du match
54 - 2021-12-04373Monsters1Bears5BWSommaire du match
56 - 2021-12-06384Gulls5Bears6BWXSommaire du match
60 - 2021-12-10413Penguins2Bears5BWSommaire du match
61 - 2021-12-11421Bears3Americans6ALSommaire du match
65 - 2021-12-15451Bears5IceHogs2AWSommaire du match
67 - 2021-12-17468Bears4Moose3AWSommaire du match
69 - 2021-12-19486Reign1Bears3BWSommaire du match
71 - 2021-12-21496Bears5Phantoms4AWSommaire du match
73 - 2021-12-23515Bears6Sound Tigers2AWSommaire du match
77 - 2021-12-27526Senators2Bears3BWSommaire du match
79 - 2021-12-29543Admirals3Bears5BWSommaire du match
81 - 2021-12-31563Bears3Griffins2AWSommaire du match
83 - 2022-01-02579Devils6Bears4BLSommaire du match
85 - 2022-01-04587Bears3Rocket4ALXSommaire du match
88 - 2022-01-07613Bears1Thunderbirds7ALSommaire du match
89 - 2022-01-08623Bears6Wild5AWSommaire du match
91 - 2022-01-10632Bruins3Bears2BLSommaire du match
96 - 2022-01-15668Bears7Sound Tigers3AWSommaire du match
97 - 2022-01-16680Comets2Bears6BWSommaire du match
99 - 2022-01-18695Moose1Bears4BWSommaire du match
101 - 2022-01-20704Bears1Bruins5ALSommaire du match
103 - 2022-01-22727Senators3Bears6BWSommaire du match
105 - 2022-01-24740Silver Knights3Bears4BWSommaire du match
107 - 2022-01-26753Barracuda5Bears3BLSommaire du match
109 - 2022-01-28771Bears4Stars5ALXSommaire du match
113 - 2022-02-01801Bears2Penguins3ALSommaire du match
114 - 2022-02-02807Condors4Bears3BLSommaire du match
116 - 2022-02-04818Bears3Wolf Pack4ALSommaire du match
118 - 2022-02-06830Bears2Phantoms3ALXSommaire du match
120 - 2022-02-08849Marlies0Bears3BWSommaire du match
123 - 2022-02-11867Wolves5Bears4BLSommaire du match
125 - 2022-02-13886Firebirds3Bears2BLXSommaire du match
128 - 2022-02-16912Bears3Heat2AWSommaire du match
129 - 2022-02-17913Bears0Condors5ALSommaire du match
131 - 2022-02-19931Bears3Comets1AWSommaire du match
135 - 2022-02-23956Sound Tigers3Bears7BWSommaire du match
137 - 2022-02-25971Bears1Monsters7ALSommaire du match
138 - 2022-02-26978Bears5Wolves3AWSommaire du match
140 - 2022-02-28995Stars5Bears4BLSommaire du match
142 - 2022-03-021006Thunderbirds5Bears4BLXXSommaire du match
145 - 2022-03-051028Bears4Americans6ALSommaire du match
146 - 2022-03-061040Devils2Bears3BWXXSommaire du match
148 - 2022-03-081054Wolves5Bears2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2022-03-131097Bears2Admirals3ALSommaire du match
154 - 2022-03-141106Wild4Bears2BLSommaire du match
157 - 2022-03-171124Crunch2Bears7BWSommaire du match
160 - 2022-03-201143Bears5Penguins7ALSommaire du match
161 - 2022-03-211154Bruins2Bears4BWSommaire du match
163 - 2022-03-231168Phantoms4Bears2BLSommaire du match
165 - 2022-03-251183Bears6Marlies4AWSommaire du match
167 - 2022-03-271200Bears4Rocket2AWSommaire du match
169 - 2022-03-291216Bears4Eagles6ALSommaire du match
171 - 2022-03-311230Bears5Silver Knights0AWSommaire du match
173 - 2022-04-021246Bears6Roadrunners4AWSommaire du match
175 - 2022-04-041266Marlies4Bears6BWSommaire du match
177 - 2022-04-061277Sound Tigers2Bears6BWSommaire du match
179 - 2022-04-081292Monsters4Bears7BWSommaire du match
180 - 2022-04-091302Bears4Wolf Pack3AWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3517
Assistance63,98840,352
Assistance PCT78.03%98.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2545 - 84.83% 77,790$3,189,386$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,739,894$ 3,045,370$ 2,840,370$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,825$ 2,979,198$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 20,969$ 20,969$




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 Sgarbossa746205342547-1393341045164722858.97%2171445619.3841841252802463528754.32%40.76828
2Jordan Szwarz690213269482-15347110361335208610.21%2451285818.63386510327752727231451.36%20.75627
3Cole Schneider462137171308-26121690942129110.61%191847318.341933521395382916448.53%30.73520
4Ken Agostino377107155262-3915173175111409.39%123811221.52214162160044128948.73%00.651023
5Brian O'Neill368112148260-2596576649101011.09%166668318.1619426112712321171145.74%40.78210

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
1Joacim Eriksson292105117260.8903.7315237164948863228341210.713122
2Barry Brust1806896120.8873.411028510858451533155530.62540
3Michal Neuvirth91503060.9002.98523717626026081108100.66736
4Barry Brust78482250.8972.9245372322121441099820.78614
5Eddie Lack1054542120.9003.4158084133033100330.65223

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
Total Saison régulière151055868305975627347095140-43175530231503535274124552494-3975525636802440353222542646-3921506470979031261225571091391164014544798398415233163931490949328155211330436990408896923.70%4345108874.96%91204393995051.16%195053960949.24%114952287850.24%318391828435297150812689813309
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
Total Séries éliminatoires914843000003102951548262200000179169104322210000013112659631050881823068111121330801021116210383120104670626772074421.26%2144479.44%31185224952.69%1108222249.86%701139750.18%19221030743139181815885

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
1Dan Sexton2415203594434713411.19%2156723.663691700012030.39%01.2300
2Andrew Gordon35181533-131897813912.95%2477322.1073101500014142.57%10.8500
3Tim Connolly23171532-104686213412.69%3255224.01639800012151.76%01.1600
4Michael Sgarbossa30131831832748212610.32%2161020.351231101134054.32%01.0200
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