Bears
GP: 7 | W: 3 | L: 4
GF: 24 | GA: 22 | PP%: 14.29% | PK%: 77.78%
DG: Jean-François Tellier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Americans
16-11-0, 32pts
5
FINAL
3 Bears
3-4-0, 6pts
Team Stats
W2StreakL2
9-5-0Home Record1-2-0
7-6-0Away Record2-2-0
6-4-0Last 10 Games3-3-1
3.93Buts par match 3.43
3.26Buts contre par match 3.14
19.32%Pourcentage en avantage numérique14.29%
78.41%Pourcentage en désavantage numérique77.78%
Bears
3-4-0, 6pts
3
FINAL
4 Americans
16-11-0, 32pts
Team Stats
L2StreakW2
1-2-0Home Record9-5-0
2-2-0Away Record7-6-0
3-3-1Last 10 Games6-4-0
3.43Buts par match 3.93
3.14Buts contre par match 3.26
14.29%Pourcentage en avantage numérique19.32%
77.78%Pourcentage en désavantage numérique78.41%
Meneurs d'équipe
Mark JankowskiButs
Mark Jankowski
1
Erik GudbransonPasses
Erik Gudbranson
1
Erik GudbransonPoints
Erik Gudbranson
1
Erik GudbransonPlus/Moins
Erik Gudbranson
3
Jimmy HowardVictoires
Jimmy Howard
3
Jimmy HowardPourcentage d’arrêts
Jimmy Howard
0.905

Statistiques d’équipe
Buts pour
24
3.43 GFG
Tirs pour
224
32.00 Avg
Pourcentage en avantage numérique
14.3%
3 GF
Début de zone offensive
37.1%
Buts contre
22
3.14 GAA
Tirs contre
232
33.14 Avg
Pourcentage en désavantage numérique
77.8%
6 GA
Début de la zone défensive
42.9%
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
Assistance2,515
Billets de saison300


Information formation

Équipe Pro37
Équipe Mineure19
Limite contact 56 / 80
Espoirs41


Historique d'équipe

Saison actuelle3-4
Historique44-31-4 (0.557%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)3-4
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$
3Riley Nash0XX100.007235926478857663816662766180730756603212,500,000$
4Kiefer Sherwood0XXX100.00893593667379716570666563677166075660263953,700$
5Egor Sokolov (R)0XX100.00798187638879856456616562666163075650213925,000$
6Parker Kelly0XXX100.00793591646674786368627169676362075650222950,000$
7Tommy Novak0X100.00643591647381866577665961636764075640242700,000$
8Jakob Lilja0X100.00573595627765696357636163627568075630282950,000$
9Lean Bergmann0XXX100.00834680628169726364626057626563075630232700,000$
10Samuel Morin (R)0X100.00798265599376686155586064567167075630263925,000$
11Lukas Jasek0XX100.00563788606581866075635857596764075610242950,000$
12Jay Bouwmeester0X100.006438896287897159307057834988780756603825,620,000$
13Nikolai Knyzhov0X100.00813878658480776430675869506566075650232750,000$
14Urho Vaakanainen0X100.00583595637480736230665775506362075630234925,000$
15Dillon Heatherington0X100.00816571599088935730565264457166075620263750,000$
16Johnathan Kovacevic0X100.00825373578876815630595561476764075610242700,000$
17Michael Paliotta0X100.00795670528860655230535057457568075580281950,000$
Rayé
1Owen Tippett0XX100.00793595677981747259706755696365075660222925,000$
2Danil Yurtaykin0XX100.00563594616583776356626059616764075620242950,000$
3Drake Rymsha0X100.00663584577279755864595857596563075600231950,000$
4Peter Abbandonato0X100.00623592587167745772595856586563075600232950,000$
5Alexandre Fortin0XX100.00623690597173785853575556626764075600243700,000$
6Jimmy Huntington0X100.00663987557580755772565455556563075590232950,000$
7Skyler McKenzie0X100.00593788596182835753565852596563075590232950,000$
8Tyrell Goulbourne0XX100.00645866547375805255515356527367075580273750,000$
9Igor Shvyrev0X100.00683690527781865254515554586563075580231999,999$
10John Ludvig (R)0X100.00715769608070655730655659496161075600213925,000$
11Leon Gawanke0X100.00663987597576815830615457466362075600222925,000$
12Evan McEneny0X100.00725274548173755330515556467367075590271950,000$
13Ole Bjorgvik-Holm0X100.00693483577872775930585356465961075590192950,000$
14Hunter Skinner0X100.00683986537760655330535556466060075580203750,000$
15Joshua Anderson0X100.00804383518960655130505457456563075580232950,000$
MOYENNE D’ÉQUIPE100.0070438560777677605260586156686507562
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
1Kiefer SherwoodBears (WSH)C/LW/RW7538-18023222541220.00%116623.782026180000250150.21%23900000.9600000101
2Urho VaakanainenBears (WSH)D716730041017675.88%1315522.170221116000023000.00%000000.9000000020
3Riley NashBears (WSH)C/RW7257-12011117121311.76%113619.57011218000000072.73%1100001.0200000000
4Gaetan HaasBears (WSH)C5426600317124433.33%06513.1800000011090042.31%7800011.8200000100
5Michael SgarbossaBears (WSH)C73250001202571712.00%014721.051016180000222057.06%16300000.6800000101
6Jay BouwmeesterBears (WSH)D7235400415881225.00%1418326.27011220000026000.00%000000.5400000000
7Owen TippettBears (WSH)LW/RW7235020128218189.52%014721.060114171011180030.00%1000000.6800000000
8Jakob LiljaBears (WSH)LW71345001494411.11%07210.3000000000010042.86%700001.1100000000
9Parker KellyBears (WSH)C/LW/RW7044100812186100.00%310915.57011314000020050.00%2800000.7300000000
10Lean BergmannBears (WSH)C/LW/RW712358016577714.29%28612.41000010000100064.29%1400000.6900000010
11Egor SokolovBears (WSH)LW/RW7112060154177115.88%012017.18000118000000015.38%1300000.3300000000
12Nikolai KnyzhovBears (WSH)D70220602598290.00%1017224.65000419000021000.00%000000.2300000001
13Lukas JasekBears (WSH)C/RW7011-100216000.00%0466.62000000000000100.00%100000.4300000000
14Johnathan KovacevicBears (WSH)D5011-4801132120.00%67515.000000100000000.00%000000.2700000000
15Erik GudbransonCapitalsD2011320832210.00%32512.790001400002000.00%000000.7800000000
16Michael PaliottaBears (WSH)D5011-3601202120.00%87515.170000000003000.00%000000.2600000000
17Tommy NovakBears (WSH)C70110002714140.00%17610.9700001000000058.54%4100000.2600000000
18Samuel MorinBears (WSH)LW71010409351220.00%1395.6000000000021014.29%700000.5100000010
19Mark JankowskiCapitalsC/LW210100003411025.00%13919.5300014000050050.00%600000.5100000000
20Dillon HeatheringtonBears (WSH)D701161002254260.00%614721.09000013000013000.00%000000.1400000000
21Danil YurtaykinBears (WSH)LW/RW2000100021020.00%0199.670000000000000.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne126244266246201791642248415310.71%70210816.743694118911211883150.65%62000010.6300000343
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)73310.9053.0643221222320000.000070200
Statistiques d’équipe totales ou en moyenne73310.9053.0643221222320000.000070200


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$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Danil YurtaykinBears (WSH)LW/RW247/1/1997No165 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dillon HeatheringtonBears (WSH)D265/9/1995No220 Lbs6 ft4NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Drake RymshaBears (WSH)C238/6/1998No187 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Egor SokolovBears (WSH)LW/RW216/7/2000Yes222 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Evan McEnenyBears (WSH)D275/22/1994No203 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gaetan HaasBears (WSH)C291/31/1992No181 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Garret SparksBears (WSH)G286/28/1993No201 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Hunter SkinnerBears (WSH)D204/29/2001No182 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Igor ShvyrevBears (WSH)C237/10/1998No200 Lbs6 ft1NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Ivan ProsvetovBears (WSH)G223/5/1999No175 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jakob LiljaBears (WSH)LW287/23/1993No196 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jay Bouwmeester (contrat à 1 volet)Bears (WSH)D389/27/1983No206 Lbs6 ft4NoNoYes2Pro & Farm5,620,000$5,620,000$5,620,000$0$No5,620,000$Lien / Lien NHL
Jeremy HelvigBears (WSH)G245/25/1997No188 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jimmy HowardBears (WSH)G373/26/1984No218 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Jimmy HuntingtonBears (WSH)C2311/18/1998No204 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
John LudvigBears (WSH)D218/2/2000Yes213 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Johnathan KovacevicBears (WSH)D247/12/1997No208 Lbs6 ft4NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Joshua AndersonBears (WSH)D238/29/1998No230 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Kiefer SherwoodBears (WSH)C/LW/RW263/31/1995No194 Lbs6 ft0NoNoNo3Pro & Farm953,700$953,700$0$0$No953,700$953,700$Lien / Lien NHL
Lean BergmannBears (WSH)C/LW/RW2310/4/1998No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Leon GawankeBears (WSH)D225/31/1999No186 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Lukas JasekBears (WSH)C/RW248/28/1997No165 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Michael PaliottaBears (WSH)D284/6/1993No207 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Michael SgarbossaBears (WSH)C297/25/1992No182 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Nikolai KnyzhovBears (WSH)D233/20/1998No218 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Ole Bjorgvik-HolmBears (WSH)D195/23/2002No190 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien
Owen TippettBears (WSH)LW/RW222/16/1999No207 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Parker KellyBears (WSH)C/LW/RW225/14/1999No168 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Peter AbbandonatoBears (WSH)C233/25/1998No195 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Richard BachmanBears (WSH)G347/25/1987No183 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Riley Nash (contrat à 1 volet)Bears (WSH)C/RW325/9/1989No188 Lbs6 ft2NoNoYes1Pro & Farm2,500,000$2,500,000$2,500,000$0$NoLien / Lien NHL
Samuel MorinBears (WSH)LW267/12/1995Yes202 Lbs6 ft6NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Skyler McKenzieBears (WSH)LW231/20/1998No154 Lbs5 ft8NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tommy NovakBears (WSH)C244/28/1997No179 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Tyrell GoulbourneBears (WSH)LW/RW271/26/1994No203 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Urho VaakanainenBears (WSH)D231/1/1999No185 Lbs6 ft1NoNoNo4Pro & Farm925,000$550,000$0$0$No1,043,000$1,043,000$1,043,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3725.27194 Lbs6 ft12.111,042,532$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodRiley Nash40122
2Egor SokolovMichael SgarbossaParker Kelly30122
3Jakob LiljaGaetan HaasLean Bergmann20122
4Samuel MorinTommy NovakLukas Jasek10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jay BouwmeesterNikolai Knyzhov40122
2Urho VaakanainenDillon Heatherington30122
3Johnathan KovacevicMichael Paliotta20122
4Jay BouwmeesterNikolai Knyzhov10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodRiley Nash60122
2Egor SokolovMichael SgarbossaParker Kelly40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jay BouwmeesterNikolai Knyzhov60122
2Urho VaakanainenDillon Heatherington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodMichael Sgarbossa60122
2Gaetan Haas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jay BouwmeesterNikolai Knyzhov60122
2Urho VaakanainenDillon Heatherington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kiefer Sherwood60122Jay BouwmeesterNikolai Knyzhov60122
2Michael Sgarbossa40122Urho VaakanainenDillon Heatherington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodMichael Sgarbossa60122
2Gaetan Haas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jay BouwmeesterNikolai Knyzhov60122
2Urho VaakanainenDillon Heatherington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodRiley NashJay BouwmeesterNikolai Knyzhov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodRiley NashJay BouwmeesterNikolai Knyzhov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tommy Novak, Jakob Lilja, Lean BergmannTommy Novak, Jakob LiljaLean Bergmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Johnathan Kovacevic, Michael Paliotta, Urho VaakanainenJohnathan KovacevicMichael Paliotta, Urho Vaakanainen
Tirs de pénalité
Kiefer Sherwood, Michael Sgarbossa, Gaetan Haas, , Riley Nash
Gardien
#1 : Jimmy Howard, #2 : Jeremy Helvig
Lignes d’attaque personnalisées en prolongation
Kiefer Sherwood, Michael Sgarbossa, Gaetan Haas, , Riley Nash, Egor Sokolov, Egor Sokolov, Parker Kelly, Tommy Novak, Jakob Lilja, Lean Bergmann
Lignes de défense personnalisées en prolongation
Jay Bouwmeester, Nikolai Knyzhov, Urho Vaakanainen, Dillon Heatherington, Johnathan Kovacevic


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
1Americans73400000242223120000011101422000001312160.4292442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146
Total73400000242223120000011101422000001312160.4292442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146
_Since Last GM Reset73400000242223120000011101422000001312160.4292442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146
_Vs Conference73400000242223120000011101422000001312160.4292442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L2244266224232706417901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002422
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001312
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21314.29%27677.78%1
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
77855668961
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
11223048.70%13926652.26%6312450.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
161110179539146


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
1 - 2022-04-124Bears3Americans4ALSommaire du match
3 - 2022-04-1412Bears3Americans1AWSommaire du match
5 - 2022-04-1620Americans0Bears4BWSommaire du match
7 - 2022-04-1828Americans5Bears4BLXSommaire du match
9 - 2022-04-2036Bears4Americans3AWXSommaire du match
11 - 2022-04-2244Americans5Bears3BLSommaire du match
13 - 2022-04-2452Bears3Americans4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3517
Assistance4,5463,000
Assistance PCT75.77%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2515 - 83.84% 87,546$262,637$3000100

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

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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 Sgarbossa822759861922312572899.34%26159419.443101334011103256.58%11.0814
2Owen Tippett71434083391610813428615.03%12154121.71851352112119352.22%31.0802
3Nikolai Knyzhov7413566921102611061339.77%98179524.2661319590001030.00%00.7700
4Gaetan Haas783134654166219625112.35%30131716.895492110122054.96%20.9903
5Kiefer Sherwood6528366418611922242869.79%30156624.102121437101113254.39%10.8224

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 Howard78412660.8983.51433814225424970410.75016
2Jeremy Helvig163510.9043.4560800353650100.0000

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
238240310252231729225412015021121671392841201600410150153-395317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
Total Saison régulière8240310252231729225412015021121671392841201600410150153-395317566883121091139163035984103099839286382371121342455120.82%3037076.90%31693310654.51%1581301452.46%766139554.91%2025142418795861047526
2373400000242223120000011101422000001312162442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146
Total Séries éliminatoires73400000242223120000011101422000001312162442660189612247785566232706417921314.29%27677.78%111223048.70%13926652.26%6312450.81%161110179539146

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
1Kiefer Sherwood7538-1823222520.00%116623.78202600000150.21%00.9600
2Urho Vaakanainen716730410175.88%1315522.17022110000000.00%00.9000
3Riley Nash7257-121111711.76%113619.57011200000072.73%01.0200
4Gaetan Haas5426603171233.33%06513.18000001100042.31%11.8200
5Owen Tippett723502128219.52%014721.06011410110030.00%00.6800

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
1Jimmy Howard73310.9053.0643221222320000.0000