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Bakersfield
GP: 72 | W: 28 | L: 37 | OTL: 7 | P: 63
GF: 209 | GA: 238 | PP%: 17.41% | PK%: 83.19%
DG: David Bourdeau | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #893 vs Manitoba

Centre de jeu
Bakersfield
28-37-7, 63pts
2
4 Charlotte
50-14-7, 107pts
Team Stats
L3SéquenceL1
12-19-4Fiche domicile28-4-3
16-18-3Fiche domicile22-10-4
3-5-2Derniers 10 matchs6-4-0
2.90Buts par match 3.87
3.31Buts contre par match 2.69
17.41%Pourcentage en avantage numérique19.93%
83.19%Pourcentage en désavantage numérique83.99%
Iowa
28-43-3, 59pts
4
2 Bakersfield
28-37-7, 63pts
Team Stats
OTL1SéquenceL3
13-20-2Fiche domicile12-19-4
15-23-1Fiche domicile16-18-3
6-3-1Derniers 10 matchs3-5-2
2.91Buts par match 2.90
3.80Buts contre par match 3.31
15.64%Pourcentage en avantage numérique17.41%
77.24%Pourcentage en désavantage numérique83.19%
Manitoba
39-29-4, 82pts
Jour 165
Bakersfield
28-37-7, 63pts
Statistiques d’équipe
L3SéquenceL3
16-17-2Fiche domicile12-19-4
23-12-2Fiche visiteur16-18-3
6-4-010 derniers matchs3-5-2
3.07Buts par match 2.90
3.08Buts contre par match 2.90
17.59%Pourcentage en avantage numérique17.41%
81.48%Pourcentage en désavantage numérique83.19%
Bakersfield
28-37-7, 63pts
Jour 166
San Diego
43-20-12, 98pts
Statistiques d’équipe
L3SéquenceL1
12-19-4Fiche domicile18-9-8
16-18-3Fiche visiteur25-11-4
3-5-210 derniers matchs6-1-3
2.90Buts par match 3.43
3.31Buts contre par match 3.43
17.41%Pourcentage en avantage numérique22.70%
83.19%Pourcentage en désavantage numérique81.99%
Hartford
33-33-5, 71pts
Jour 170
Bakersfield
28-37-7, 63pts
Statistiques d’équipe
L1SéquenceL3
16-18-1Fiche domicile12-19-4
17-15-4Fiche visiteur16-18-3
3-7-010 derniers matchs3-5-2
3.24Buts par match 2.90
3.39Buts contre par match 2.90
22.93%Pourcentage en avantage numérique17.41%
79.77%Pourcentage en désavantage numérique83.19%
Meneurs d'équipe
Tye KartyeButs
Tye Kartye
24
Morgan BarronPasses
Morgan Barron
45
Morgan BarronPoints
Morgan Barron
66
Miles WoodPlus/Moins
Miles Wood
5
Victoires
Jonathan Bernier
18
Pourcentage d’arrêts
Jonathan Bernier
0.914

Statistiques d’équipe
Buts pour
209
2.90 GFG
Tirs pour
2554
35.47 Avg
Pourcentage en avantage numérique
17.4%
47 GF
Début de zone offensive
41.1%
Buts contre
238
3.31 GAA
Tirs contre
2566
35.64 Avg
Pourcentage en désavantage numérique
83.2%%
60 GA
Début de la zone défensive
41.8%
Informations de l'équipe

Directeur généralDavid Bourdeau
EntraîneurKen Hitchcock
DivisionPacifique
ConférenceConference ouest
CapitaineNiklas Hjalmarsson
Assistant #1Keith Aulie
Assistant #2Adam McQuaid


Informations de l’aréna

Capacité3,000
Assistance2,857
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 50
Espoirs51


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
1Kole SherwoodX100.00823772798878886575666561804947495000271750,000$
2Dominic TonatinoXXX100.00693092738565846675666564756462355000302675,000$
3Jujhar KhairaXX96.00794073719575886683646866786159405000291800,000$
4Garnet HathawayX100.00804361648769936269656267747167245000321900,000$
5Tyler GraovacXX100.00653284719374886886676862776251365000313925,000$
6Miles WoodXX100.006730898983849370786670567958484550002821,250,000$
7Mikkel BoedkerXX100.00562196717557736546636464787866245000351600,000$
8Valentin ZykovXX100.00642592758376816972666660805755495000291625,000$
9John HaydenXX100.00784865739373827061687063766462405000291825,000$
10Eeli TolvanenXX100.007633938582869976747275638149476850002511,100,000$
11Morgan Barron (R)XXX100.00774187839083937575777370804848635000251950,000$
12Tye Kartye (R)XX100.00943587828576997283707366754444685000231700,000$
13Madison BoweyX100.007433708388858859515856877763594750002911,050,000$
14Adam McQuaid (A)X100.00764561587879785150505286717670165000371500,000$
15Keith Aulie (A)X100.00614965488561934425434589477971165000352500,000$
16Kale Clague (R)X100.00683079888089875353545085775043565000261900,000$
17Jon MerrillX100.006132846888818647504450877866594050003211,240,000$
18Jordan Harris (R)X100.00772587888386995370555189754544725000231700,000$
Rayé
MOYENNE D’ÉQUIPE99.7872358075867788636562627175605644500
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
1Jonathan Bernier97.0062858276718787858568769099285000351875,000$
2Semyon Varlamov100.0062838378718484838371779696305000361600,000$
Rayé
MOYENNE D’ÉQUIPE98.506284837771868684847077939829500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock90888076999833CAN7423,000,000$


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
1Morgan BarronBakersfield (EDM)C/LW/RW72214566-16460105138258791838.14%10144520.0831518482240002336047.68%206600000.9115000543
2Tye KartyeBakersfield (EDM)C/LW722429533780150118260641549.23%7123417.152111359218000052152.76%168500020.8601000502
3Eeli TolvanenBakersfield (EDM)LW/RW72222850-213205773269621998.18%5141119.60761347225000143247.45%13700000.7114000422
4Kale ClagueBakersfield (EDM)D721038485160247010839929.26%94155021.546814652210112276100%000000.6200000001
5Jordan HarrisBakersfield (EDM)D7284048-11460718015138895.30%103162122.525111669222000046020%000000.5900000123
6Madison BoweyBakersfield (EDM)D72162945-694011060121439313.22%95167323.25571256222000296200%000000.5400000203
7Miles WoodBakersfield (EDM)LW/RW721923425401265200631479.50%7121916.947613322150001162145.95%11100000.6900000130
8John HaydenBakersfield (EDM)C/RW721319325581010646173491347.51%6119416.5932540217000001043.04%7900000.5400101112
9Adam McQuaid Bakersfield (EDM)D7281927-111075130588732689.20%91135118.77459412120114272200%000000.4000000110
10Jujhar KhairaBakersfield (EDM)C/LW72121224-82758769156371117.69%9113015.70033119112112740059.07%54000000.4200001031
11Kole SherwoodBakersfield (EDM)RW7281422-446010853137481085.84%789712.4700000000001150.00%6200000.4900000100
12Tyler GraovacBakersfield (EDM)C/RW7281321-740167112335766.50%979311.0200000000001053.41%101300000.5300000013
13Keith AulieBakersfield (EDM)D7241014-1123527315215417.69%110115316.02000030003279000%000000.2400100000
14Dominic TonatinoBakersfield (EDM)C/LW/RW72281034020644818554.17%55938.2500002000122951050.27%91900000.3400000000
15Mikkel BoedkerBakersfield (EDM)LW/RW724484203245315387.55%95928.220000000042770043.14%5100000.2700000000
16Garnet HathawayBakersfield (EDM)RW72246134104319325356.25%54926.8400013112112821043.86%5700000.2400011002
17Jon MerrillBakersfield (EDM)D5011060162210%88817.6100001000013000%000000.2300000000
18Valentin ZykovBakersfield (EDM)LW/RW5000000014220%0234.780000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1162181336517-696273510701046223464616268.10%5801846815.894274116459201124653217623750.95%672000020.56210213211722
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
1Jonathan BernierBakersfield (EDM)48182440.9143.0627824214216520130.818114626254
2Semyon VarlamovBakersfield (EDM)27101330.9023.41156620899100110.66732644210
Statistiques d’équipe totales ou en moyenne75283770.9103.194348622312562024147270464


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam McQuaid Bakersfield (EDM)D371986-10-12CANNo216 Lbs6 ft4NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Dominic TonatinoBakersfield (EDM)C/LW/RW301994-03-09USANo191 Lbs6 ft2NoNoN/ANoNo22025-09-11FalseFalsePro & Farm675,000$114,231$0$0$No675,000$--------675,000$--------No--------Lien
Eeli TolvanenBakersfield (EDM)LW/RW251999-04-22FINNo191 Lbs5 ft10NoNoTrade2025-01-06NoNo12025-09-11FalseFalsePro & Farm1,100,000$186,154$0$0$No---------------------------Lien NHL
Garnet HathawayBakersfield (EDM)RW321991-11-23USANo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$152,308$0$0$No---------------------------Lien / Lien NHL
John HaydenBakersfield (EDM)C/RW291995-02-14USANo223 Lbs6 ft3NoNoN/ANoNo12024-09-16FalseFalsePro & Farm825,000$139,615$0$0$No---------------------------Lien
Jon MerrillBakersfield (EDM)D321992-02-03USANo210 Lbs6 ft3NoNoTrade2025-08-27NoNo1FalseFalsePro & Farm1,240,000$209,846$0$0$No---------------------------Lien / Lien NHL
Jonathan BernierBakersfield (EDM)G351988-08-08CANNo198 Lbs5 ft11NoNoFree AgentNoNo12024-09-26FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------
Jordan HarrisBakersfield (EDM)D232000-07-07USAYes187 Lbs5 ft11NoNoProspectNoNo12024-10-08FalseFalsePro & Farm700,000$118,462$0$0$No---------------------------Lien NHL
Jujhar KhairaBakersfield (EDM)C/LW291994-08-13CANNo213 Lbs6 ft4NoNoN/ANoNo12024-09-16FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien
Kale ClagueBakersfield (EDM)D261998-06-05CANYes177 Lbs6 ft0NoNoN/ANoNo12024-09-16FalseFalsePro & Farm900,000$152,308$0$0$No---------------------------Lien
Keith AulieBakersfield (EDM)D351989-06-11CANNo237 Lbs6 ft6NoNoFree AgentNoNo22025-09-26FalseFalsePro & Farm500,000$84,615$0$0$No500,000$--------500,000$--------No--------Lien
Kole SherwoodBakersfield (EDM)RW271997-01-22USANo215 Lbs6 ft1NoNoN/ANoNo12024-09-16FalseFalsePro & Farm750,000$126,923$0$0$No---------------------------Lien
Madison BoweyBakersfield (EDM)D291995-04-22CANNo202 Lbs6 ft2NoNoN/ANoNo12024-09-16FalseFalsePro & Farm1,050,000$177,692$0$0$No---------------------------Lien
Mikkel BoedkerBakersfield (EDM)LW/RW351989-01-10DENNo214 Lbs6 ft1NoNoFree AgentNoNo12024-09-26FalseFalsePro & Farm600,000$101,538$0$0$No---------------------------
Miles WoodBakersfield (EDM)LW/RW281995-09-13USANo199 Lbs6 ft2NoNoFree AgentNoNo22024-09-26FalseFalsePro & Farm1,250,000$211,538$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Morgan BarronBakersfield (EDM)C/LW/RW251998-12-02CANYes220 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm950,000$160,769$0$0$No---------------------------Lien NHL
Semyon Varlamov (contrat à 1 volet)Bakersfield (EDM)G361988-04-27RUSNo204 Lbs6 ft1NoNoFree AgentYesYes12024-09-28FalseFalsePro & Farm600,000$114,000$6,000$1,140$No---------------------------Lien NHL
Tye KartyeBakersfield (EDM)C/LW232001-04-30NAYes202 Lbs5 ft11NoNoTrade2025-01-06NoNo12024-11-07FalseFalsePro & Farm700,000$118,462$0$0$No---------------------------Lien NHL
Tyler GraovacBakersfield (EDM)C/RW311993-04-27CANNo216 Lbs6 ft5NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm925,000$156,538$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Valentin ZykovBakersfield (EDM)LW/RW291995-05-15RUSNo222 Lbs6 ft0NoNoN/ANoNo12025-09-11FalseFalsePro & Farm625,000$105,769$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.80208 Lbs6 ft21.25823,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jujhar KhairaMorgan BarronEeli Tolvanen35014
2Miles WoodTye KartyeJohn Hayden30113
3Mikkel BoedkerTyler GraovacKole Sherwood25122
4Valentin ZykovDominic TonatinoGarnet Hathaway10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Harris35113
2Jon MerrillKale Clague30122
3Adam McQuaid Keith Aulie25122
4Madison BoweyJordan Harris10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jujhar KhairaMorgan BarronEeli Tolvanen50005
2Miles WoodTye KartyeJohn Hayden50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Harris50005
2Adam McQuaid Kale Clague50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaGarnet Hathaway50131
2Dominic TonatinoMikkel Boedker50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith AulieJon Merrill50122
2Adam McQuaid Kale Clague50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Barron50050Keith AulieJon Merrill65050
2Garnet Hathaway50050Madison BoweyJordan Harris35050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan BarronJujhar Khaira50113
2Tye KartyeEeli Tolvanen50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Harris50122
2Jon MerrillKale Clague50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaMorgan BarronEeli TolvanenMadison BoweyJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaTye KartyeGarnet HathawayKeith AulieJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Miles Wood, Garnet Hathaway, Dominic TonatinoMiles Wood, Garnet HathawayDominic Tonatino
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam McQuaid , Keith Aulie, Jon MerrillAdam McQuaid Keith Aulie, Jon Merrill
Tirs de pénalité
Eeli Tolvanen, Kole Sherwood, Valentin Zykov, Morgan Barron, Miles Wood
Gardien
#1 : Semyon Varlamov, #2 : Jonathan Bernier
Lignes d’attaque personnalisées en prolongation
Morgan Barron, Eeli Tolvanen, Tye Kartye, Jujhar Khaira, John Hayden, Miles Wood, Garnet Hathaway, Dominic Tonatino, Tyler Graovac, Valentin Zykov
Lignes de défense personnalisées en prolongation
Madison Bowey, Jordan Harris, Jon Merrill, Kale Clague, Adam McQuaid


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
1Abbotsford4110101011101200010107522110000045-160.7501118290178725451588229147914114846488116318.75%23578.26%01390279349.77%1504283653.03%586116050.52%173611751679550942465
2Bridgeport20200000512-71010000028-61010000034-100.0005813007872545658229147914161122136900.00%8450.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
3Charlotte413000001218-6312000001014-41010000024-220.2501223351078725451298229147914115148528213215.38%25388.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
4Cleveland2110000069-31010000015-41100000054120.500611170078725456782291479141941926397114.29%12283.33%01390279349.77%1504283653.03%586116050.52%173611751679550942465
5Coachella Valley3020010059-41010000023-12010010036-310.167591400787254588822914791411263338608112.50%16193.75%01390279349.77%1504283653.03%586116050.52%173611751679550942465
6Eagles4220000013130211000007612110000067-140.5001324370078725451538229147914114033408618633.33%18288.89%01390279349.77%1504283653.03%586116050.52%173611751679550942465
7Grand Rapids21100000541000000000002110000054120.500510150078725459382291479141681823461300.00%9188.89%01390279349.77%1504283653.03%586116050.52%173611751679550942465
8Hartford1010000045-1000000000001010000045-100.0004812007872545318229147914137416174125.00%7271.43%01390279349.77%1504283653.03%586116050.52%173611751679550942465
9Hershey2110000078-11010000024-21100000054120.500712190078725457582291479141861620437342.86%100100.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
10Iowa40200002815-72010000136-32010000159-420.250815230078725451278229147914114341396310220.00%15380.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
11Laval321000009811010000024-22200000074340.6679162500787254512382291479141973030537114.29%15286.67%01390279349.77%1504283653.03%586116050.52%173611751679550942465
12Lehigh Valley1010000016-51010000016-50000000000000.000112007872545228229147914163191818300.00%9366.67%01390279349.77%1504283653.03%586116050.52%173611751679550942465
13Manitoba3120000011921010000045-12110000074320.3331117280078725451088229147914111442435312325.00%18572.22%11390279349.77%1504283653.03%586116050.52%173611751679550942465
14Ontario4110011014122200001107702110000075250.6251424380078725451268229147914114846498712216.67%19478.95%01390279349.77%1504283653.03%586116050.52%173611751679550942465
15Providence41300000612-61010000036-33120000036-320.25061117017872545133822914791411473850611516.67%25388.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
16Rochester2100010010821000010045-11100000063330.75010172700787254571822914791417014183611436.36%9277.78%11390279349.77%1504283653.03%586116050.52%173611751679550942465
17Rockford40400000513-82020000048-42020000015-400.00051015107872545133822914791411474140652100.00%19384.21%01390279349.77%1504283653.03%586116050.52%173611751679550942465
18San Diego3200000112111210000019901100000032150.833122234007872545103822914791418625306010330.00%13469.23%01390279349.77%1504283653.03%586116050.52%173611751679550942465
19San Jose41200100910-1211000005322010010047-330.375916250078725451538229147914113946297817317.65%12191.67%01390279349.77%1504283653.03%586116050.52%173611751679550942465
20Springfield513010001718-1302010001112-12110000066040.4001732490078725451888229147914117543529522313.64%25388.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
21Syracuse3120000079-2211000005411010000025-320.33371118007872545110822914791419618305410220.00%15380.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
22Texas41201000111102010100056-12110000065140.5001119302078725451338229147914112238286814428.57%140100.00%01390279349.77%1504283653.03%586116050.52%173611751679550942465
23Utica 220000001248110000005141100000073441.00012223400787254573822914791414793533300.00%13376.92%01390279349.77%1504283653.03%586116050.52%173611751679550942465
24Wilkes-Barre/Scranton22000000945110000005141100000043141.000917260078725459282291479141611622398225.00%8187.50%01390279349.77%1504283653.03%586116050.52%173611751679550942465
Total72233703423209238-293571903222104128-2437161800201105110-5630.438209373582427872545255482291479141256669579713532704717.41%3576083.19%21390279349.77%1504283653.03%586116050.52%173611751679550942465
_Since Last GM Reset72233703423209238-293571903222104128-2437161800201105110-5630.438209373582427872545255482291479141256669579713532704717.41%3576083.19%21390279349.77%1504283653.03%586116050.52%173611751679550942465
_Vs Conference42102103323116131-1521310031226470-621711002015261-9360.42911620632231787254514708229147914114884344367961603018.75%1923183.85%11390279349.77%1504283653.03%586116050.52%173611751679550942465
_Vs Division1856013215152-19220112130273934002002125-4200.556518914001787254562882291479141647196194366631219.05%831581.93%01390279349.77%1504283653.03%586116050.52%173611751679550942465

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7263L320937358225542566695797135342
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7223373423209238
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
357193222104128
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3716180201105110
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2704717.41%3576083.19%2
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
822914791417872545
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
1390279349.77%1504283653.03%586116050.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173611751679550942465


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
15Bakersfield2San Jose4LSommaire du match
420Springfield5Bakersfield4LSommaire du match
729Bakersfield0Providence3LSommaire du match
1042Manitoba5Bakersfield4LSommaire du match
1354Bakersfield1Grand Rapids2LSommaire du match
1565Bakersfield2Manitoba3LSommaire du match
1774Charlotte7Bakersfield5LSommaire du match
1986Bakersfield6Ontario2WSommaire du match
2196Coachella Valley3Bakersfield2LSommaire du match
24110Bakersfield4Laval3WSommaire du match
26117Bakersfield2San Jose3LXSommaire du match
27125Texas2Bakersfield3WXSommaire du match
31143Bakersfield2Coachella Valley3LXSommaire du match
32149Syracuse3Bakersfield1LSommaire du match
35170San Jose2Bakersfield1LSommaire du match
36176Bakersfield4Iowa5LXXSommaire du match
38187Bakersfield3Abbotsford5LSommaire du match
40199Eagles3Bakersfield2LSommaire du match
43212Bakersfield1Abbotsford0WSommaire du match
45222Rochester5Bakersfield4LXSommaire du match
47231Bakersfield5Hershey4WSommaire du match
49241Bakersfield4Texas1WSommaire du match
50249Abbotsford3Bakersfield4WXXSommaire du match
55273Syracuse1Bakersfield4WSommaire du match
57285Bakersfield3Laval1WSommaire du match
60296Providence6Bakersfield3LSommaire du match
62312Bakersfield2Texas4LSommaire du match
64321Laval4Bakersfield2LSommaire du match
67331Bakersfield7Utica 3WSommaire du match
69345Cleveland5Bakersfield1LSommaire du match
71352Bakersfield6Rochester3WSommaire du match
73369Bakersfield5Manitoba1WSommaire du match
74374Utica 1Bakersfield5WSommaire du match
77394Bakersfield1Iowa4LSommaire du match
78400Springfield4Bakersfield3LSommaire du match
80413Bakersfield1Ontario3LSommaire du match
82424Hershey4Bakersfield2LSommaire du match
85441Bakersfield3Springfield2WSommaire du match
86450Lehigh Valley6Bakersfield1LSommaire du match
90472San Jose1Bakersfield4WSommaire du match
94493Bakersfield1Rockford3LSommaire du match
96498Charlotte6Bakersfield3LSommaire du match
98513Bakersfield1Eagles6LSommaire du match
100521Charlotte1Bakersfield2WSommaire du match
102532Bakersfield2Providence0WSommaire du match
104540Bakersfield3Springfield4LSommaire du match
105548Abbotsford2Bakersfield3WXSommaire du match
108567Bakersfield4Hartford5LSommaire du match
109574Springfield3Bakersfield4WXSommaire du match
111586Bakersfield2Syracuse5LSommaire du match
113598Bakersfield4Grand Rapids2WSommaire du match
114603Wilkes-Barre/Scranton1Bakersfield5WSommaire du match
117622Ontario3Bakersfield4WXXSommaire du match
119634Bakersfield0Rockford2LSommaire du match
121643Bakersfield4Wilkes-Barre/Scranton3WSommaire du match
122650Bridgeport8Bakersfield2LSommaire du match
126671Eagles3Bakersfield5WSommaire du match
128684Bakersfield3Bridgeport4LSommaire du match
131698Rockford4Bakersfield2LSommaire du match
133710Bakersfield1Providence3LSommaire du match
135722San Diego5Bakersfield4LXXSommaire du match
137733Bakersfield5Eagles1WSommaire du match
139747San Diego4Bakersfield5WSommaire du match
141758Bakersfield3San Diego2WSommaire du match
143771Bakersfield1Coachella Valley3LSommaire du match
144777Rockford4Bakersfield2LSommaire du match
148796Ontario4Bakersfield3LXSommaire du match
152820Iowa2Bakersfield1LXXSommaire du match
154830Bakersfield5Cleveland4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157846Texas4Bakersfield2LSommaire du match
160863Bakersfield2Charlotte4LSommaire du match
161872Iowa4Bakersfield2LSommaire du match
165893Manitoba-Bakersfield-
166900Bakersfield-San Diego-
170917Hartford-Bakersfield-
172927Bakersfield-Lehigh Valley-
174933Bakersfield-San Jose-
176946Hartford-Bakersfield-
177952Bakersfield-Lehigh Valley-
183974Grand Rapids-Bakersfield-
188998Coachella Valley-Bakersfield-
1921013Coachella Valley-Bakersfield-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance66,54033,465
Assistance PCT95.06%95.61%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2857 - 95.24% 147,764$5,171,749$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,948,852$ 1,586,500$ 1,586,500$ 3,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,136$ 1,456,482$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
886,586$ 33 23,521$ 776,193$




Bakersfield Leaders statistiques des joueurs (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

Bakersfield 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

Bakersfield 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

Bakersfield Leaders statistiques des joueurs (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

Bakersfield 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