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Bakersfield
GP: 82 | W: 41 | L: 32 | OTL: 9 | P: 91
GF: 280 | GA: 262 | PP%: 17.85% | PK%: 83.14%
DG: | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Abbotsford
26-49-7, 59pts
2
FINAL
4 Bakersfield
41-32-9, 91pts
Team Stats
L1StreakW2
15-22-4Home Record22-14-5
11-27-3Away Record19-18-4
1-9-0Last 10 Games6-3-1
2.88Buts par match 3.41
4.09Buts contre par match 3.20
17.80%Pourcentage en avantage numérique17.85%
76.28%Pourcentage en désavantage numérique83.14%
Manitoba
34-38-10, 78pts
3
FINAL
4 Bakersfield
41-32-9, 91pts
Team Stats
SOL1StreakW2
19-15-7Home Record22-14-5
15-23-3Away Record19-18-4
5-3-2Last 10 Games6-3-1
3.12Buts par match 3.41
3.33Buts contre par match 3.20
20.53%Pourcentage en avantage numérique17.85%
83.19%Pourcentage en désavantage numérique83.14%
Meneurs d'équipe
Buts
Rudolfs Balcers
30
Passes
Samuel Girard
67
Points
Samuel Girard
77
Plus/Moins
Austin Czarnik
12
Victoires
Kevin Lankinen
21
Pourcentage d’arrêts
Kevin Lankinen
0.901

Statistiques d’équipe
Buts pour
280
3.41 GFG
Tirs pour
2725
33.23 Avg
Pourcentage en avantage numérique
17.8%
63 GF
Début de zone offensive
42.2%
Buts contre
262
3.20 GAA
Tirs contre
2562
31.24 Avg
Pourcentage en désavantage numérique
83.1%%
59 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur général
EntraîneurLuke Richardson
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,295
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs61


Historique d'équipe

Saison actuelle41-32-9 (91PTS)
Historique82-64-14 (0.513%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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 moyen
1Nick RitchieX100.00835061839685997480707761814038645000251950,000$
2Danny O'Regan (R)X100.00732598767572786675656764755656495000271500,000$
3Dmitrij JaskinXX100.00733282778977897672747168775253535000281950,000$
4Joakim AnderssonXXX100.00573095637875826392636367736455295000321800,000$
5Jujhar KhairaXX100.009051777592768771826971717953525550002621,200,000$
6Garnet HathawayX100.00935169718675936870707169756260355000294900,000$
7Tyler GraovacXX100.00713681779376867187697166795448515000281950,000$
8Steven LorentzXX100.00773291769375876788656967764845645000252700,000$
9Rudolfs Balcers (R)XX100.00872592818182827570697374774545695000242500,000$
10Justin Bailey (R)XX100.00673589849281797278727068744544515000261950,000$
11Austin CzarnikXXX100.00583096806782787482737469785351515000281900,000$
12Kailer Yamamoto (R)XX100.00853087827286997570737672773838835000223900,000$
13Samuel GirardX100.00773592997496926655685687784040835000231800,000$
14Thomas HickeyX100.006627817375838651505249837271663550003211,000,000$
15Connor CliftonX100.00853772817588835051504691764949605000262800,000$
16Zach Whitecloud (R)X100.00873287819187835452515692774344745000241700,000$
17Kale Clague (R)X100.00762585798082824950534382754242675000232800,000$
18Lawrence PilutX100.00703583847892855154484888744443675000252700,000$
Rayé
1Darren Raddysh (R)X100.00813090768272754050383886755252495000251500,000$
MOYENNE D’ÉQUIPE100.0077348579838186646963637576504857500
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 moyen
1Kevin Lankinen100.0072909189849393959793915252675000262800,000$
2Nico Daws (R)100.0071867993889089908989873131795000202800,000$
Rayé
MOYENNE D’ÉQUIPE100.007288859186929193939189424273500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson87826981909980CAN5021,500,000$


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
1Samuel GirardBakersfield (EDM)D81106777928070108173661025.78%123205525.3832225993220000314110.00%000000.7501000340
2Austin CzarnikBakersfield (EDM)C/LW/RW82304171120031682317016612.99%21156519.0961420482971014792152.91%215100000.9113000525
3Kailer YamamotoBakersfield (EDM)LW/RW75273764828089117291802119.28%19156420.86517227728100051234144.35%36300200.8227000516
4Rudolfs BalcersBakersfield (EDM)LW/RW81302959-1640150103327941999.17%7163320.1669157228000072073044.68%9400010.7213000313
5Dmitrij JaskinBakersfield (EDM)LW/RW79223456-31204171228681589.65%9155319.6789175528601111023355.75%17400010.7216000114
6Nick RitchieBakersfield (EDM)LW822527521010830167722006916012.50%10133616.307815231310002343045.14%14400020.7803321450
7Jujhar KhairaBakersfield (EDM)C/LW69232952-794101391311505413215.33%11130618.946814312420000703155.79%177100000.8024002641
8Zach WhitecloudBakersfield (EDM)D8216324810104013676139409211.51%143195823.898412813220001274310.00%000000.4900000124
9Tyler GraovacBakersfield (EDM)C/RW8218284664515841071773812210.17%9146417.864483822100051943058.31%105300000.6302021333
10Justin BaileyBakersfield (EDM)LW/RW81211940-26016671754413112.00%19121014.9500062310182013050.51%9900000.6600000130
11Connor CliftonBakersfield (EDM)D8263238713220160849534626.32%112162219.79257482000110244110.00%000000.4701101033
12Lawrence PilutBakersfield (EDM)D827243162810486310118596.93%106155819.01325512121121207100.00%000000.4000110024
13Garnet HathawayBakersfield (EDM)RW821118295741010432107328210.28%107659.332352260111563056.00%10000000.7611100131
14Kale ClagueBakersfield (EDM)D8242327-980098486223396.45%82120714.731341375000081000.00%000000.4500000001
15Steven LorentzBakersfield (EDM)C/LW8211132402804181106296210.38%893111.36000010003851256.55%96900000.5211000010
16Thomas HickeyBakersfield (EDM)D352151701401223229179.09%3050514.45033323000022000.00%000000.6700000004
17Jake GardinerEdmontonD153131610407132452012.50%2532021.402351037000147010.00%000001.0000000020
18Danny O'ReganBakersfield (EDM)C736915240103257145410.53%53655.01000000000101148.94%42500000.8200000211
19Joakim AnderssonBakersfield (EDM)C/LW/RW823361000153815227.89%104425.40000000000141052.73%5500000.2700000000
20Darren RaddyshBakersfield (EDM)D46033-512024919280.00%232976.4800002000028000.00%000000.2000000000
Statistiques d’équipe totales ou en moyenne14552754967715986595139914202722804189810.10%7822366816.27631141776572988347392401361354.01%739800240.65932655353840
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
1Kevin LankinenBakersfield (EDM)37211130.9013.0921762311211370201.000103548411
2Nico DawsBakersfield (EDM)47192160.8983.1327386014314000220.773224626440
Statistiques d’équipe totales ou en moyenne84403290.8993.114915832552537042328174851


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 Waiver Possible Contrat Type Salaire actuel Salaire 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
Austin CzarnikBakersfield (EDM)C/LW/RW281992-12-12No164 Lbs5 ft9NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Connor CliftonBakersfield (EDM)D261995-04-28No176 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Danny O'ReganBakersfield (EDM)C271994-01-30 05:12:53Yes180 Lbs5 ft10NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Darren RaddyshBakersfield (EDM)D251996-02-28 05:20:14Yes200 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Dmitrij JaskinBakersfield (EDM)LW/RW281993-03-23No220 Lbs6 ft2NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Garnet HathawayBakersfield (EDM)RW291991-11-23No214 Lbs6 ft2NoNoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Joakim AnderssonBakersfield (EDM)C/LW/RW321989-02-05No215 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Jujhar Khaira (contrat à 1 volet)Bakersfield (EDM)C/LW261994-08-13No213 Lbs6 ft4NoNoYesYes2Pro & Farm1,200,000$12,000$0$No1,200,000$Lien
Justin BaileyBakersfield (EDM)LW/RW261995-07-01Yes220 Lbs6 ft3NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Kailer YamamotoBakersfield (EDM)LW/RW221998-09-29 07:59:41Yes153 Lbs5 ft8NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Kale ClagueBakersfield (EDM)D231998-06-05 04:28:54Yes177 Lbs6 ft0NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Kevin LankinenBakersfield (EDM)G261995-04-28 11:58:57No188 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Lawrence PilutBakersfield (EDM)D251995-12-30No186 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Nick RitchieBakersfield (EDM)LW251995-12-05No242 Lbs6 ft2NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Nico DawsBakersfield (EDM)G202000-12-22 08:20:49Yes197 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$
Rudolfs BalcersBakersfield (EDM)LW/RW241997-04-08 04:24:43Yes180 Lbs5 ft11NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Samuel GirardBakersfield (EDM)D231998-05-12No169 Lbs5 ft10NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Steven LorentzBakersfield (EDM)C/LW251996-04-13No208 Lbs6 ft4NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Thomas HickeyBakersfield (EDM)D321989-02-08No194 Lbs6 ft0NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Tyler GraovacBakersfield (EDM)C/RW281993-04-27No216 Lbs6 ft5NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Zach WhitecloudBakersfield (EDM)D241996-11-28Yes215 Lbs6 ft2NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.90197 Lbs6 ft11.62814,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoJujhar KhairaDmitrij Jaskin32122
2Rudolfs BalcersAustin CzarnikTyler Graovac30122
3Nick RitchieSteven LorentzJustin Bailey28122
4Joakim AnderssonDanny O'ReganGarnet Hathaway10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardZach Whitecloud40122
2Connor CliftonLawrence Pilut30122
3Thomas HickeyKale Clague30122
40122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoJujhar KhairaDmitrij Jaskin60122
2Rudolfs BalcersAustin CzarnikTyler Graovac40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardZach Whitecloud60122
2Connor CliftonLawrence Pilut40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler GraovacJustin Bailey60122
2Jujhar KhairaRudolfs Balcers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardZach Whitecloud60122
2Connor CliftonLawrence Pilut40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Graovac60122Samuel GirardZach Whitecloud60122
2Garnet Hathaway40122Connor CliftonLawrence Pilut40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin CzarnikNick Ritchie60122
2Jujhar KhairaRudolfs Balcers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardZach Whitecloud60122
2Connor CliftonLawrence Pilut40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinJujhar KhairaRudolfs BalcersSamuel GirardZach Whitecloud
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinJujhar KhairaRudolfs BalcersSamuel GirardZach Whitecloud
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Ritchie, Justin Bailey, Garnet HathawayNick Ritchie, Justin BaileyGarnet Hathaway
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Hickey, Kale Clague, Connor CliftonThomas HickeyKale Clague, Connor Clifton
Tirs de pénalité
Dmitrij Jaskin, Kailer Yamamoto, Jujhar Khaira, Rudolfs Balcers, Nick Ritchie
Gardien
#1 : Kevin Lankinen, #2 : Nico Daws


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
1Abbotsford74101100372413330000002311124110110014131110.786376810501949087132428429019447023572889528621.43%34682.35%11702309654.97%1572292853.69%727132055.08%2069141918356151079552
2Charlotte2010010059-41000010034-11010000025-310.25058130094908713488429019447059192840400.00%11190.91%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
3Cleveland21100000770110000004131010000036-320.5007121900949087137084290194470631918364125.00%9366.67%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
4Grand Rapids2010000146-21010000034-11000000112-110.25046100094908713618429019447065134191300.00%220.00%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
5Hartford210000101394100000105411100000085341.000132235009490871377842901944707822413210330.00%13469.23%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
6Hershey2020000036-31010000034-11010000002-200.00036900949087134884290194470662414288112.50%7185.71%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
7Iowa4220000011101211000006512110000055040.50011193000949087131348429019447010038386522522.73%18477.78%11702309654.97%1572292853.69%727132055.08%2069141918356151079552
8Laval2110000010821010000056-11100000052320.500101828009490871368842901944706815352512325.00%10190.00%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
9Lehigh Valley30300000714-71010000047-32020000037-400.00071421009490871386842901944701074337481218.33%16287.50%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
10Manitoba402000201116-5200000209722020000029-740.5001115261094908713135842901944701233342841600.00%21385.71%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
11Milwaukee522001002118331100100141132110000077050.500213758009490871322884290194470151375811225520.00%28678.57%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
12Ontario63200100171433110010076132100000108270.583173350019490871318484290194470208736811423521.74%32584.38%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
13Providence30001110761200001104401000100032150.83371017009490871397842901944708522186317211.76%7185.71%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
14Rochester211000006511010000024-21100000041320.5006111700949087137784290194470581210328225.00%50100.00%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
15Rockford412000101516-12020000058-321000010108240.50015264100949087131418429019447015938517215213.33%22481.82%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
16San Diego633000001921-232100000108231200000913-460.500193655109490871318184290194470215877210921314.29%23195.65%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
17San Jose622010011920-1311010001110131100001810-270.583193453009490871319084290194470202546511532412.50%24579.17%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
18Springfield422000001011-1220000007342020000038-540.50010162600949087131328429019447010547527611436.36%16193.75%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
19Texas4210000116151211000007702100000198150.62516304600949087131278429019447013131295411436.36%12466.67%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
20Toronto22000000844110000005231100000032141.00081523009490871367842901944704015164212216.67%8275.00%11702309654.97%1572292853.69%727132055.08%2069141918356151079552
21Tucson622011001718-132000100107330201000711-470.58317314800949087131948429019447014649569328517.86%18288.89%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
22Utica211000008441010000023-11100000061520.50081321009490871377842901944704511292713323.08%7185.71%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
23Wilkes-Barre/Scranton22000000918110000002021100000071641.0009172601949087136184290194470531814308225.00%70100.00%01702309654.97%1572292853.69%727132055.08%2069141918356151079552
Total8232320465328026218411714015401511262541151803113129136-7910.5552804977772394908713272584290194470256279288314113536317.85%3505983.14%31702309654.97%1572292853.69%727132055.08%2069141918356151079552
_Since Last GM Reset8232320465328026218411714015401511262541151803113129136-7910.5552804977772394908713272584290194470256279288314113536317.85%3505983.14%31702309654.97%1572292853.69%727132055.08%2069141918356151079552
_Vs Conference562321034321931831028148013201098326289130211284100-16640.571193345538229490871318888429019447017755596199892324318.53%2484183.47%21702309654.97%1572292853.69%727132055.08%2069141918356151079552
_Vs Division3114100330110997121593012006142191657021014855-7380.61310920231112949087139918429019447010063353495261322317.42%1311985.50%11702309654.97%1572292853.69%727132055.08%2069141918356151079552

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291W228049777727252562792883141123
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8232324653280262
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117141540151126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115183113129136
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3536317.85%3505983.14%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
8429019447094908713
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
1702309654.97%1572292853.69%727132055.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2069141918356151079552


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-11-2511Milwaukee2Bakersfield8BWSommaire du match
4 - 2022-11-2618Bakersfield3Ontario1AWSommaire du match
6 - 2022-11-2726Bakersfield3San Jose4ALXXSommaire du match
8 - 2022-11-2840Bakersfield5Abbotsford6ALXSommaire du match
9 - 2022-11-2946Tucson2Bakersfield4BWSommaire du match
12 - 2022-11-3061Bakersfield2San Diego4ALSommaire du match
13 - 2022-12-0168San Diego1Bakersfield3BWSommaire du match
16 - 2022-12-0285Ontario4Bakersfield3BLXSommaire du match
19 - 2022-12-04102Abbotsford6Bakersfield8BWSommaire du match
20 - 2022-12-04105Bakersfield3Tucson2AWXSommaire du match
23 - 2022-12-06120Bakersfield1Abbotsford4ALSommaire du match
25 - 2022-12-07133Bakersfield4San Diego3AWSommaire du match
26 - 2022-12-07142San Jose4Bakersfield3BLSommaire du match
29 - 2022-12-09156Bakersfield5Texas3AWSommaire du match
31 - 2022-12-10163Ontario0Bakersfield3BWSommaire du match
34 - 2022-12-11178Bakersfield3Rockford2AWSommaire du match
36 - 2022-12-12187Bakersfield2Manitoba4ALSommaire du match
37 - 2022-12-13192San Jose2Bakersfield3BWSommaire du match
39 - 2022-12-14210Ontario2Bakersfield1BLSommaire du match
42 - 2022-12-15226Bakersfield7Wilkes-Barre/Scranton1AWSommaire du match
44 - 2022-12-16235Abbotsford3Bakersfield11BWSommaire du match
46 - 2022-12-17245Bakersfield4Abbotsford3AWXSommaire du match
48 - 2022-12-18257Hershey4Bakersfield3BLSommaire du match
50 - 2022-12-19268Bakersfield0Hershey2ALSommaire du match
52 - 2022-12-20274Bakersfield7Rockford6AWXXSommaire du match
54 - 2022-12-21286Laval6Bakersfield5BLSommaire du match
56 - 2022-12-22300Bakersfield4Texas5ALXXSommaire du match
57 - 2022-12-23310Providence1Bakersfield2BWXXSommaire du match
60 - 2022-12-24325Bakersfield0Manitoba5ALSommaire du match
61 - 2022-12-25332Rochester4Bakersfield2BLSommaire du match
64 - 2022-12-26345Bakersfield6Utica1AWSommaire du match
66 - 2022-12-27356Wilkes-Barre/Scranton0Bakersfield2BWSommaire du match
68 - 2022-12-28367Bakersfield4Abbotsford0AWSommaire du match
71 - 2022-12-30380Grand Rapids4Bakersfield3BLSommaire du match
75 - 2023-01-01402Hartford4Bakersfield5BWXXSommaire du match
77 - 2023-01-02410Bakersfield3Iowa1AWSommaire du match
80 - 2023-01-03425Tucson2Bakersfield4BWSommaire du match
82 - 2023-01-04437Bakersfield2San Jose1AWSommaire du match
85 - 2023-01-06451Iowa2Bakersfield5BWSommaire du match
87 - 2023-01-07464Bakersfield3Providence2AWXSommaire du match
89 - 2023-01-08472Charlotte4Bakersfield3BLXSommaire du match
91 - 2023-01-09482Bakersfield2Lehigh Valley3ALSommaire du match
94 - 2023-01-10494Bakersfield4Rochester1AWSommaire du match
96 - 2023-01-11503San Jose4Bakersfield5BWXSommaire du match
97 - 2023-01-12515Bakersfield3Toronto2AWSommaire du match
99 - 2023-01-13526Iowa3Bakersfield1BLSommaire du match
102 - 2023-01-14543Springfield2Bakersfield5BWSommaire du match
104 - 2023-01-15552Bakersfield8Hartford5AWSommaire du match
106 - 2023-01-16561Bakersfield1Lehigh Valley4ALSommaire du match
109 - 2023-01-18575Rockford4Bakersfield3BLSommaire du match
112 - 2023-01-19592Tucson3Bakersfield2BLXSommaire du match
117 - 2023-01-22610Bakersfield2Iowa4ALSommaire du match
119 - 2023-01-23618Utica3Bakersfield2BLSommaire du match
121 - 2023-01-24627Bakersfield5Laval2AWSommaire du match
123 - 2023-01-25638Bakersfield3Cleveland6ALSommaire du match
124 - 2023-01-25646Lehigh Valley7Bakersfield4BLSommaire du match
127 - 2023-01-27663Bakersfield3Milwaukee4ALSommaire du match
128 - 2023-01-27668Toronto2Bakersfield5BWSommaire du match
130 - 2023-01-28676Bakersfield3Tucson4ALSommaire du match
132 - 2023-01-29685Bakersfield4Ontario3AWSommaire du match
133 - 2023-01-30693Providence3Bakersfield2BLXSommaire du match
138 - 2023-02-01715Manitoba4Bakersfield5BWXXSommaire du match
141 - 2023-02-03730Bakersfield1Grand Rapids2ALXXSommaire du match
142 - 2023-02-03738Bakersfield2Charlotte5ALSommaire du match
144 - 2023-02-04745Rockford4Bakersfield2BLSommaire du match
147 - 2023-02-06765San Diego4Bakersfield3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-02-07777Bakersfield3San Jose5ALSommaire du match
151 - 2023-02-08785Bakersfield1Springfield3ALSommaire du match
152 - 2023-02-08791Texas6Bakersfield2BLSommaire du match
155 - 2023-02-10801Bakersfield3San Diego6ALSommaire du match
157 - 2023-02-11814San Diego3Bakersfield4BWSommaire du match
158 - 2023-02-11822Bakersfield1Tucson5ALSommaire du match
162 - 2023-02-13839Cleveland1Bakersfield4BWSommaire du match
165 - 2023-02-15859Bakersfield2Springfield5ALSommaire du match
166 - 2023-02-15864Texas1Bakersfield5BWSommaire du match
168 - 2023-02-16873Bakersfield3Ontario4ALSommaire du match
171 - 2023-02-18882Bakersfield4Milwaukee3AWSommaire du match
172 - 2023-02-18888Springfield1Bakersfield2BWSommaire du match
177 - 2023-02-21912Milwaukee3Bakersfield1BLSommaire du match
183 - 2023-02-24934Milwaukee6Bakersfield5BLXSommaire du match
189 - 2023-02-27954Abbotsford2Bakersfield4BWSommaire du match
195 - 2023-03-02977Manitoba3Bakersfield4BWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,84931,262
Assistance PCT76.65%76.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2295 - 76.51% 134,352$5,508,418$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,119,088$ 1,590,000$ 1,590,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,030$ 1,619,048$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,606$ 0$




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
1Austin Wagner1406064124-288420022053211.28%20292320.881822401200001012042.9100.8508
2Evgeny Svechnikov15458621201810028617456210.32%20318120.66162440144202186240.4840.75410
3Radko Gudas1643486120-1628639814623414.53%332369422.532222441200006220.00%00.6500
4Joseph Blandisi16452661181010422015839813.07%22276516.866121858000210051.6600.8524
5John Quenneville1543676112-8641362884527.96%18323220.9912183010400046448.8200.69410

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
1Anders Nilsson965226100.9103.1255328028831840840.66748
2Scott Wedgewood78303860.9033.1243514422623180020.00%0

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
Saison régulière
2082353303533257265-841181402421126126041171901112131139-89025743969642106747111262689886384051276982783914623566217.42%3676682.02%11550312249.65%1503316147.55%614129847.30%1971133119396301060525
2082353303533257265-841181402421126126041171901112131139-89025743969642106747111262689886384051276982783914623566217.42%3676682.02%11550312249.65%1503316147.55%614129847.30%1971133119396301060525
Total Saison régulière16464640812106560524368234280210803022525082303606226258272-14182560994155446188180174265450168418021888140512415841766282270612617.85%70011883.14%63404619254.97%3144585653.69%1454264055.08%413828383671123021581105
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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