Bears
GP: 5 | W: 1 | L: 4
GF: 21 | GA: 29 | PP%: 20.00% | PK%: 64.29%
DG: Jean-François Tellier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Bears
1-4-0, 2pts
5
FINAL
6 Americans
15-8-0, 30pts
Team Stats
L3StreakOTL1
1-2-0Home Record7-4-0
0-2-0Away Record8-4-0
1-3-1Last 10 Games6-3-1
4.20Buts par match 4.13
5.80Buts contre par match 3.30
20.00%Pourcentage en avantage numérique26.23%
64.29%Pourcentage en désavantage numérique85.90%
Americans
15-8-0, 30pts
7
FINAL
4 Bears
1-4-0, 2pts
Team Stats
OTL1StreakL3
7-4-0Home Record1-2-0
8-4-0Away Record0-2-0
6-3-1Last 10 Games1-3-1
4.13Buts par match 4.20
3.30Buts contre par match 5.80
26.23%Pourcentage en avantage numérique20.00%
85.90%Pourcentage en désavantage numérique64.29%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
21
4.20 GFG
Tirs pour
200
40.00 Avg
Pourcentage en avantage numérique
20.0%
4 GF
Début de zone offensive
40.3%
Buts contre
29
5.80 GAA
Tirs contre
198
39.60 Avg
Pourcentage en désavantage numérique
64.3%
5 GA
Début de la zone défensive
39.9%
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
Assistance1,924
Billets de saison750


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs38


Historique d'équipe

Saison actuelle1-4
Historique98-56-10 (0.598%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)1-4
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
SP
Âge
Contrat
Salaire
1Parker Kelly (R)0XXX100.00834169667279886459626871646365075660233950,000$
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)0X100.00663884597577895430615657526365075600234925,000$
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
SP
Âge
Contrat
Salaire
1Garret Sparks100.0074707287727173727173726983075650292750,000$
2Ivan Prosvetov (R)100.0073797888727173727173726369075640233925,000$
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’équipe
POS
GP
G
A
P
+/-
PIM
PIM5
HIT
HTT
SHT
OSB
OSM
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PPM
PKG
PKA
PKP
PKS
PKM
GW
GT
FO%
FOT
GA
TA
EG
HT
P/20
PSG
PSS
FW
FL
FT
S1
S2
S3
1Vasily PodkolzinBears (WSH)RW5358-4005102281513.64%09719.53213416000001033.33%300001.6400000100
2Kiefer SherwoodBears (WSH)C/LW/RW5347-4001013238813.04%110120.23123616000040044.03%13400001.3800000001
3Peyton KrebsBears (WSH)C/LW5257000214295196.90%112925.890005170001110036.22%18500001.0800000010
4Parker KellyBears (WSH)C/LW/RW533602024123410288.82%211823.660008170000110053.85%1300001.0100000000
5Egor SokolovBears (WSH)LW/RW5235-4001181231116.67%29719.53033116000000044.44%900001.0200000000
6Leon GawankeBears (WSH)D5044-4201534520.00%1210821.6001121800008000.00%000000.7400000000
7Thomas NovakBears (WSH)C5314-3000101321523.08%26913.9100000000050055.91%9300001.1500000000
8Matt KierstedBears (WSH)D50441601556160.00%1311923.9300031500008000.00%000000.6700000000
9Mike HardmanBears (WSH)C/LW/RW5314000572111114.29%211022.03000617000030141.67%1200000.7300000000
10Jimmy HuntingtonBears (WSH)C5033-460445120.00%77014.180000000000000.00%000000.8500000000
11Lucas JohansenBears (WSH)D511210013281612.50%1712124.23101415000010000.00%000000.3300000000
12Nathan SmithBears (WSH)C5022-3401011113160.00%17715.5000000000000046.15%2600000.5200000000
13Viktor LodinBears (WSH)C/LW5112-36045102910.00%16412.870000000000000.00%100000.6200000000
14Peter AbbandonatoBears (WSH)C5000000000000.00%020.490000000000000.00%100000.0000000000
15Alexandre FortinBears (WSH)C/LW5000000000000.00%140.850000000004000.00%000000.0000000000
16Simon RyforsBears (WSH)C/LW5000000031010.00%0132.63000000000000100.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne80213758-272601181071995014910.55%62130516.324711391510001681143.63%47900000.8900000111
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
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 ft5NoNoNo3Pro & Farm925,000$925,000$0$0$No775,000$775,000$Lien / 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 ft1NoNoNo4Pro & Farm925,000$925,000$0$0$No750,000$750,000$750,000$Lien / 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 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No925,900$925,900$Lien / 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 ft12.57901,025$



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
Total
Domicile
Visiteur
#
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
1Americans514000002129-8312000001316-320200000813-520.2002137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230
Total514000002129-8312000001316-320200000813-520.2002137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230
_Since Last GM Reset514000002129-8312000001316-320200000813-520.2002137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230
_Vs Conference514000002129-8312000001316-320200000813-520.2002137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L3213758200198722812200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400002129
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001316
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000813
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20420.00%14564.29%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
73675825970
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
8219342.49%8119142.41%469548.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11682122356230


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
1 - 2023-04-133Americans3Bears4BWSommaire du match
3 - 2023-04-1511Americans6Bears5BLXSommaire du match
5 - 2023-04-1719Bears3Americans7ALSommaire du match
7 - 2023-04-1927Bears5Americans6ALSommaire du match
9 - 2023-04-2135Americans7Bears4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance3,5862,185
Assistance PCT59.77%72.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 1924 - 64.12% 97,469$292,407$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,522,870$ 2,522,870$ 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
1Parker Kelly1438485169558844333868212.32%48295220.65191736115011414547.88%11.1425
2Kiefer Sherwood1396175136309328737356210.85%52300721.635242979202137254.69%20.9024
3Egor Sokolov15345801250832381985048.93%28276118.05718259410116146.79%00.9101
4Peyton Krebs8150601103602925439612.63%23196324.248172560303156353.85%31.1224
5Owen Tippett78514293432011416232915.50%16170121.8111617661121211453.26%41.0903

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
2Garret Sparks57351710.9053.2730316316517400300.5004
3Ivan Prosvetov3014510.9103.12138560728020100.0000
4David Tendeck74200.9063.0030000151590000.6673
5Jeremy Helvig163510.9043.4560800353650100.0000

Bears Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
2022824825041223632778641279030112041426241211601111159135241113636521015031471091018337110481170112637288682950119212827526.60%2205077.27%61703319753.27%1492289151.61%737143051.54%2061147018535721035530
Total Saison régulière16488560664468056911182472405123371281908241320152130928821206680121818981525622219214640620322200212476574916521212405552712623.91%52312077.06%93396630353.88%3073590552.04%1503282553.20%408728953732115920821057
2022514000002129-8312000001316-320200000813-522137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230
Total Séries éliminatoires514000002129-8312000001316-320200000813-522137580059702007367582198722812220420.00%14564.29%08219342.49%8119142.41%469548.42%11682122356230

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
1Vasily Podkolzin5358-405102213.64%09719.53213400001033.33%01.6400
2Peyton Krebs525700214296.90%112925.89000500010036.22%01.0800
3Kiefer Sherwood5347-4010132313.04%110120.23123600000044.03%01.3800
4Parker Kelly5336022412348.82%211823.66000800000053.85%01.0100
5Egor Sokolov5235-401181216.67%29719.53033100000044.44%01.0200

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