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Bridgeport
GP: 82 | W: 42 | L: 37 | OTL: 3 | P: 87
GF: 337 | GA: 339 | PP%: 28.53% | PK%: 75.58%
DG: Charles Lassonde | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Bridgeport
42-37-3, 87pts
2
FINAL
6 Charlotte
55-22-5, 115pts
Team Stats
W1SéquenceW2
22-18-1Fiche domicile28-10-3
20-19-2Fiche domicile27-12-2
6-4-0Derniers 10 matchs6-4-0
4.11Buts par match 4.77
4.13Buts contre par match 3.49
28.53%Pourcentage en avantage numérique25.60%
75.58%Pourcentage en désavantage numérique81.95%
Iowa
33-45-4, 70pts
5
FINAL
6 Bridgeport
42-37-3, 87pts
Team Stats
L4SéquenceW1
20-19-2Fiche domicile22-18-1
13-26-2Fiche domicile20-19-2
3-6-1Derniers 10 matchs6-4-0
3.39Buts par match 4.11
4.12Buts contre par match 4.13
17.01%Pourcentage en avantage numérique28.53%
75.24%Pourcentage en désavantage numérique75.58%
Meneurs d'équipe
Buts
Janne Kuokkanen
41
Passes
Jan Rutta
51
Points
Janne Kuokkanen
86
Plus/Moins
P.K. Subban
12
Victoires
Keith Kinkaid
22
Pourcentage d’arrêts
Keith Kinkaid
0.917

Statistiques d’équipe
Buts pour
337
4.11 GFG
Tirs pour
3816
46.54 Avg
Pourcentage en avantage numérique
28.5%
99 GF
Début de zone offensive
42.7%
Buts contre
339
4.13 GAA
Tirs contre
3657
44.60 Avg
Pourcentage en désavantage numérique
75.6%%
94 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralCharles Lassonde
EntraîneurDavid Quinn
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1Niklas Hjalmarsson
Assistant #2Marc Methot


Informations de l’aréna

Capacité3,000
Assistance2,283
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 50
Espoirs65


Historique d'équipe

Saison actuelle42-37-3 (87PTS)
Historique129-107-13 (0.518%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
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
1Tomas JurcoXX100.00663385817975797170686965775452495000294975,000$
2Dmitrij JaskinXX100.006932837688779076727272667454564850002941,050,000$
3Trent Frederic (R)XXX100.00856581729175967370717568774646695000242800,000$
4Tomas NosekXX100.00722699688674886873657073836056485000291650,000$
5Sam Steel (R)XXX100.00753094868182977585737369774545705000242900,000$
6Trevor MooreXX100.007223918076809368716871677657505750002721,075,000$
7Steven LorentzXX100.00723591769475896790656965775144595000261700,000$
8Martin HanzalX100.007633935397767072977071708480733250003521,200,000$
9Nicolas PetanX100.00683188807477798151747265815050525000272975,000$
10Marc Methot (A)X100.00854836407766965129485190489699155000372950,000$
11David SavardX100.00683886748793995850575485696155515000313975,000$
12Jake GardinerX100.00703584747785956750585788746364415000311900,000$
13Nikita NesterovX100.00723270817188874953494981725341485000281750,000$
14Niklas Hjalmarsson (A)X100.00873849577972884932524592708889125000352950,000$
15P.K. SubbanX100.00663688717784935150504980647569395000331700,000$
16Jan RuttaX100.007736807289808755505151877569614250003122,000,000$
17Jon MerrillX100.006533837186848553505155878162564750003031,240,000$
Rayé
1Marcus JohanssonXXX100.00722799848186917579707660836465445000313975,000$
2Janne Kuokkanen (R)XX100.00723096798479857270707275774646635000242800,000$
MOYENNE D’ÉQUIPE100.0073358372837989656362637575625947500
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
1Keith Kinkaid100.0067858578778886858880757474435000323800,000$
Rayé
1Jonathan Bernier100.0064857776708485868671748493325000331875,000$
MOYENNE D’ÉQUIPE100.006685817774868686877675798438500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn68797771848476USA571600,000$


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
1Janne KuokkanenBridgeport (NYI)LW/RW714145862380671063609523711.39%24138719.54161733922470004980542.45%13900011.2400000913
2Marcus JohanssonBridgeport (NYI)C/LW/RW66314778-1220721572948324010.54%9142321.56422263618310161748256.65%185700011.1011000454
3Nicolas PetanBridgeport (NYI)C65264571818049141282892129.22%10130120.02916254918601151604239.49%198000011.0901000162
4Dmitrij JaskinBridgeport (NYI)LW/RW82263864-2142010283343762597.58%11144217.5951520601990005591052.10%23800100.8900000302
5Jake GardinerBridgeport (NYI)D66164662-104205095218771297.34%153155223.521112231082190004216200%000000.8000000013
6Jan RuttaBridgeport (NYI)D82115162-106958587181631176.08%156181722.1762430932650110278100%000000.6800100102
7Sam SteelBridgeport (NYI)C/LW/RW54253358-1524072120285701718.77%13115721.43712196417010171692054.58%89600001.0001000111
8David SavardBridgeport (NYI)D72114556-122954254167611396.59%142156421.7291827802440112257100%000000.7200001010
9TJ OshieNYIslandersRW50302555108010156782227217613.51%13105521.1199184214600041064152.51%41900041.0402011533
10Niklas HjalmarssonBridgeport (NYI)D82203252913620223541655711312.12%166170820.84121022812660110249220%000000.6100301322
11Trent FredericBridgeport (NYI)C/LW/RW74183351-31104018676283991926.36%17130817.685914521951014624148.24%45400000.7800511123
12Tomas NosekBridgeport (NYI)LW/RW7718213983005547227681467.93%1093712.180221134000002143.53%8500000.8300000111
13Martin HanzalBridgeport (NYI)C41924331012038649424799.57%663915.5927910650003611061.75%99600001.0301000123
14Trevor MooreBridgeport (NYI)LW/RW8113193213205865241631695.39%797011.9812310340002673144.25%11300010.6600000211
15Steven LorentzBridgeport (NYI)C/LW671118291240406712237699.02%55998.9400001000032055.39%87200000.9700000013
16Tomas JurcoBridgeport (NYI)LW/RW821216281080283098339312.24%14745.78000100001320146.67%6000001.1800000202
17Jon MerrillBridgeport (NYI)D8291524-711554290266010.00%106113913.9021315280001131200%000000.4200001110
18Marc MethotBridgeport (NYI)D8261319-913525161417422518.11%102107613.12112845000044100%000000.3500122001
19Nikita NesterovBridgeport (NYI)D7211011538047233112183.23%374586.3600010000025000%000000.4800000000
20P.K. SubbanBridgeport (NYI)D802911123420926275287.41%374635.7900012000118100%000000.4700121000
Statistiques d’équipe totales ou en moyenne1428336585921-12934130154514563804113226988.83%10252247715.74991772768142538347492220411651.28%810900180.82161168352836
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
1Keith KinkaidBridgeport (NYI)42221610.9173.75243510015218420120.85774034460
2Jonathan BernierBridgeport (NYI)33191310.9123.741923411201357031003333312
Statistiques d’équipe totales ou en moyenne75412920.9153.744359141272319904377367772


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 Recrue 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 10Lien
David SavardBridgeport (NYI)D311990-10-22No226 Lbs6 ft2NoNoNoNo3Pro & Farm975,000$5,702$0$0$No975,000$975,000$Lien
Dmitrij JaskinBridgeport (NYI)LW/RW291993-03-23No220 Lbs6 ft2NoNoNoNo4Pro & Farm1,050,000$6,140$0$0$No1,050,000$1,050,000$1,050,000$Lien
Jake GardinerBridgeport (NYI)D311990-07-04No206 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Jan RuttaBridgeport (NYI)D311990-07-29No201 Lbs6 ft3NoNoNoNo2Pro & Farm2,000,000$11,696$0$0$No2,000,000$Lien
Janne KuokkanenBridgeport (NYI)LW/RW241998-05-25 03:20:23Yes193 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$4,678$0$0$No800,000$
Jon MerrillBridgeport (NYI)D301992-02-03No210 Lbs6 ft3NoNoNoNo3Pro & Farm1,240,000$7,251$0$0$No1,240,000$1,240,000$Lien
Jonathan BernierBridgeport (NYI)G331988-08-08 11:37:02No198 Lbs5 ft11NoNoNoNo1Pro & Farm875,000$5,117$0$0$No
Keith KinkaidBridgeport (NYI)G321989-07-04 05:27:05No201 Lbs6 ft3NoNoNoNo3Pro & Farm800,000$4,678$0$0$No800,000$800,000$Lien
Marc MethotBridgeport (NYI)D371985-06-21No238 Lbs6 ft3NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$Lien
Marcus JohanssonBridgeport (NYI)C/LW/RW311990-10-06No220 Lbs6 ft1NoNoNoNo3Pro & Farm975,000$5,702$0$0$No975,000$975,000$Lien
Martin HanzalBridgeport (NYI)C351987-02-20No230 Lbs6 ft6NoNoYesYes2Pro & Farm1,200,000$7,018$0$0$No1,200,000$Lien
Nicolas PetanBridgeport (NYI)C271995-03-22No167 Lbs5 ft9NoNoNoNo2Pro & Farm975,000$5,702$0$0$No975,000$Lien
Nikita NesterovBridgeport (NYI)D281994-03-28No197 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Niklas HjalmarssonBridgeport (NYI)D351987-06-06No214 Lbs6 ft3NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$
P.K. Subban (contrat à 1 volet)Bridgeport (NYI)D331989-01-21No222 Lbs6 ft0NoNoYesYes1Pro & Farm700,000$7,000$0$No
Sam SteelBridgeport (NYI)C/LW/RW241998-02-03 23:52:19Yes185 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$5,263$0$0$No900,000$
Steven LorentzBridgeport (NYI)C/LW261996-04-13No208 Lbs6 ft4NoNoNoNo1Pro & Farm700,000$4,094$0$0$NoLien
Tomas JurcoBridgeport (NYI)LW/RW291992-12-28No194 Lbs6 ft2NoNoNoNo4Pro & Farm975,000$5,702$0$0$No975,000$975,000$975,000$Lien
Tomas Nosek (contrat à 1 volet)Bridgeport (NYI)LW/RW291992-09-01No214 Lbs6 ft3NoNoYesYes1Pro & Farm650,000$6,500$0$NoLien
Trent FredericBridgeport (NYI)C/LW/RW241998-02-11 02:40:21Yes220 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$4,678$0$0$No800,000$
Trevor MooreBridgeport (NYI)LW/RW271995-03-31No186 Lbs5 ft10NoNoNoNo2Pro & Farm1,075,000$6,287$0$0$No1,075,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.81207 Lbs6 ft22.10963,810$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitrij Jaskin35122
2Trent FredericSam SteelTomas Nosek33122
3Trevor MooreMartin HanzalTomas Jurco30122
4Steven Lorentz2122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake GardinerNiklas Hjalmarsson35122
2Jan RuttaDavid Savard30122
3Marc MethotJon Merrill25122
4P.K. SubbanJake Gardiner10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitrij Jaskin50122
2Trent FredericSam SteelTomas Nosek50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake GardinerNiklas Hjalmarsson50122
2Jan RuttaDavid Savard50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Dmitrij JaskinSam Steel50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake GardinerNiklas Hjalmarsson50122
2Jan RuttaDavid Savard50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Jake GardinerNiklas Hjalmarsson50122
250122Jan RuttaDavid Savard50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Dmitrij JaskinSam Steel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake GardinerNiklas Hjalmarsson50122
2Jan RuttaDavid Savard50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinJake GardinerNiklas Hjalmarsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinJake GardinerNiklas Hjalmarsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Hanzal, Trevor Moore, Tomas JurcoMartin Hanzal, Trevor MooreTomas Jurco
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc Methot, Jon Merrill, P.K. SubbanMarc MethotJon Merrill, P.K. Subban
Tirs de pénalité
, , Dmitrij Jaskin, Sam Steel, Martin Hanzal
Gardien
#1 : , #2 : Keith Kinkaid
Lignes d’attaque personnalisées en prolongation
, , Dmitrij Jaskin, Sam Steel, Martin Hanzal, Trent Frederic, Trent Frederic, Tomas Nosek, Trevor Moore, Tomas Jurco, Steven Lorentz
Lignes de défense personnalisées en prolongation
Jake Gardiner, Niklas Hjalmarsson, Jan Rutta, David Savard, Marc Methot


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
1Abbotsford312000001015-521100000810-21010000025-320.33310192900134102965143130112751206411374720571317.69%9277.78%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
2Bakersfield2200000016511110000007161100000094541.0001628440013410296586130112751206416724343216637.50%12191.67%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
3Charlotte605010001831-13303000001018-830201000813-520.167183452201341029653001301127512064128773559728517.86%25676.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
4Cleveland412001002022-2210001001073202000001015-530.375203454001341029651781301127512064117043398017529.41%12375.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
5Coachella Valley403000101418-420200000610-42010001088020.250142236001341029652111301127512064119248526315533.33%24770.83%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
6Eagles2020000058-31010000035-21010000023-100.0005712001341029651071301127512064170232733900.00%11281.82%11894380149.83%1729364547.43%678145346.66%1965133219026241075534
7Grand Rapids421010001815320101000810-222000000105560.750183250001341029652071301127512064116043346814428.57%12283.33%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
8Hartford6310100125205330000001578301010011013-390.7502545700013410296532413011275120641257635212428828.57%26580.77%11894380149.83%1729364547.43%678145346.66%1965133219026241075534
9Hershey642000002420432100000161333210000087180.667244468001341029652551301127512064127157739823730.43%32487.50%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
10Iowa321000001012-2110000006512110000047-340.66710162600134102965117130112751206411263086636116.67%20385.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
11Laval404000001020-1020200000410-620200000610-400.000101727101341029651851301127512064119164338211327.27%13284.62%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
12Lehigh Valley614010002529-43120000010100302010001519-440.3332544690013410296524513011275120641299957912224937.50%361266.67%11894380149.83%1729364547.43%678145346.66%1965133219026241075534
13Manitoba220000001165110000005321100000063341.00011193000134102965113130112751206418022143210330.00%7357.14%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
14Ontario220000001376110000007341100000064241.0001324370013410296511513011275120641692022386466.67%10460.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
15Providence43000100221662200000014862100010088070.875223961001341029652021301127512064115958417525936.00%16381.25%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
16Rochester422000001314-12020000026-422000000118340.500132437001341029651831301127512064117354389723417.39%19573.68%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
17Rockford20200000712-51010000036-31010000046-200.0007916001341029656413011275120641124474044500.00%17758.82%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
18San Diego20200000812-41010000036-31010000056-100.00081321001341029658413011275120641912220336116.67%9277.78%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
19San Jose21100000770110000005321010000024-220.500711180013410296587130112751206417528273610550.00%10370.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
20Springfield211000001014-410100000211-91100000083520.5001019290013410296568130112751206411213730397457.14%15473.33%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
21Syracuse211000001213-1110000008531010000048-420.5001221330013410296593130112751206419633293410440.00%11463.64%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
22Texas4400000018992200000084422000000105581.000183250001341029652001301127512064118431417717423.53%15660.00%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
23Wilkes-Barre/Scranton651000002114733000000954321000001293100.8332135560113410296524913011275120641258646212224729.17%24483.33%01894380149.83%1729364547.43%678145346.66%1965133219026241075534
Total82373704211337339-241211801100169166341161903111168173-5870.530337588925311341029653816130112751206413657102694815463479928.53%3859475.58%31894380149.83%1729364547.43%678145346.66%1965133219026241075534
_Since Last GM Reset82373704211337339-241211801100169166341161903111168173-5870.530337588925311341029653816130112751206413657102694815463479928.53%3859475.58%31894380149.83%1729364547.43%678145346.66%1965133219026241075534
_Vs Conference54212504211210219-92712130110010410402791203111106115-9550.50921037058031134102965253913011275120641241766255810282326628.45%2395377.82%21894380149.83%1729364547.43%678145346.66%1965133219026241075534
_Vs Division28131303001115105101496000006042181447030015563-8330.5891152023170113410296512511301127512064112553223055461163631.03%1302878.46%21894380149.83%1729364547.43%678145346.66%1965133219026241075534

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8287W1337588925381636571026948154631
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237374211337339
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121181100169166
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116193111168173
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3479928.53%3859475.58%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
13011275120641134102965
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
1894380149.83%1729364547.43%678145346.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1965133219026241075534


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
210Charlotte5Bridgeport3BLSommaire du match
420Bridgeport1Wilkes-Barre/Scranton5ALSommaire du match
633Lehigh Valley4Bridgeport2BLSommaire du match
744Bridgeport2Hartford5ALSommaire du match
953Hartford3Bridgeport5BWSommaire du match
1166Bridgeport4Hershey2AWSommaire du match
1270Bridgeport6Lehigh Valley5AWXSommaire du match
1588Bridgeport3Charlotte2AWXSommaire du match
1695Hershey1Bridgeport5BWSommaire du match
19111Wilkes-Barre/Scranton0Bridgeport2BWSommaire du match
21123Bridgeport3Coachella Valley4ALSommaire du match
22135Bridgeport4Lehigh Valley5ALSommaire du match
24144Abbotsford7Bridgeport3BLSommaire du match
26158Hartford1Bridgeport5BWSommaire du match
28172Bridgeport4Hartford3AWXSommaire du match
30184Springfield11Bridgeport2BLSommaire du match
33197Bridgeport4Laval6ALSommaire du match
35211Charlotte5Bridgeport3BLSommaire du match
36221Bridgeport7Wilkes-Barre/Scranton2AWSommaire du match
39236Hershey7Bridgeport3BLSommaire du match
40246Bridgeport3Charlotte5ALSommaire du match
42259Abbotsford3Bridgeport5BWSommaire du match
44269Bridgeport2San Jose4ALSommaire du match
47284Hershey5Bridgeport8BWSommaire du match
49296Rochester3Bridgeport1BLSommaire du match
51306Bridgeport5San Diego6ALSommaire du match
53317Bridgeport4Rochester3AWSommaire du match
55331Cleveland6Bridgeport5BLXSommaire du match
57343Rockford6Bridgeport3BLSommaire du match
59354Bridgeport2Abbotsford5ALSommaire du match
60365Bridgeport4Grand Rapids3AWSommaire du match
62374Bridgeport2Iowa6ALSommaire du match
64383San Diego6Bridgeport3BLSommaire du match
66397Bridgeport7Rochester5AWSommaire du match
67405Laval4Bridgeport1BLSommaire du match
70418Bridgeport6Grand Rapids2AWSommaire du match
71427Laval6Bridgeport3BLSommaire du match
73439Bridgeport5Texas2AWSommaire du match
75453Eagles5Bridgeport3BLSommaire du match
77467Bridgeport2Iowa1AWSommaire du match
78474Syracuse5Bridgeport8BWSommaire du match
81490Bridgeport8Springfield3AWSommaire du match
83502Grand Rapids6Bridgeport3BLSommaire du match
86519Ontario3Bridgeport7BWSommaire du match
88532Bridgeport6Ontario4AWSommaire du match
90543Providence5Bridgeport8BWSommaire du match
92554Bridgeport4Providence5ALXSommaire du match
93564Bridgeport9Bakersfield4AWSommaire du match
96576Hartford3Bridgeport5BWSommaire du match
98591Charlotte8Bridgeport4BLSommaire du match
100599Bridgeport6Manitoba3AWSommaire du match
102613Providence3Bridgeport6BWSommaire du match
104627Bridgeport4Syracuse8ALSommaire du match
106637San Jose3Bridgeport5BWSommaire du match
108650Bridgeport2Eagles3ALSommaire du match
110663Lehigh Valley5Bridgeport3BLSommaire du match
112676Bridgeport2Laval4ALSommaire du match
114687Grand Rapids4Bridgeport5BWXSommaire du match
116699Bridgeport4Rockford6ALSommaire du match
118708Wilkes-Barre/Scranton2Bridgeport3BWSommaire du match
120723Bridgeport4Providence3AWSommaire du match
121730Bridgeport1Hershey3ALSommaire du match
123741Lehigh Valley1Bridgeport5BWSommaire du match
126757Wilkes-Barre/Scranton3Bridgeport4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129774Bridgeport3Hershey2AWSommaire du match
131782Texas1Bridgeport4BWSommaire du match
134796Bridgeport4Hartford5ALXXSommaire du match
136804Rochester3Bridgeport1BLSommaire du match
138814Bridgeport4Cleveland7ALSommaire du match
139823Bridgeport5Lehigh Valley9ALSommaire du match
142835Cleveland1Bridgeport5BWSommaire du match
144851Manitoba3Bridgeport5BWSommaire du match
145852Bridgeport5Coachella Valley4AWXXSommaire du match
149876Texas3Bridgeport4BWSommaire du match
150884Bridgeport6Cleveland8ALSommaire du match
153903Coachella Valley6Bridgeport4BLSommaire du match
156919Bakersfield1Bridgeport7BWSommaire du match
157924Bridgeport5Texas3AWSommaire du match
160943Coachella Valley4Bridgeport2BLSommaire du match
161950Bridgeport4Wilkes-Barre/Scranton2AWSommaire du match
163958Bridgeport2Charlotte6ALSommaire du match
168973Iowa5Bridgeport6BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,60831,006
Assistance PCT76.35%75.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2283 - 76.11% 132,912$5,449,380$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,458,236$ 1,889,000$ 1,889,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,047$ 1,861,738$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 14,556$ 14,556$




Bridgeport 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
1Taylor Beck23211986205-346013822190013.22%75424618.31272754181000213449.30%30.9704
2Nick Cousins24570129199331042734207769.02%21419817.13837451450221312649.55%00.9523
3Alexei Toropchenko146781081863215628016872810.71%30285519.56203858170022816243.85%01.3004
4Adam Ruzicka14662120182283610228461610.06%22292320.0312324411800088852.50%41.2424
5Ryan Getzlaf112569014650222220648611.52%26215019.20163854108000014053.19%01.3604

Bridgeport 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
1Thomas Greiss64372250.9073.65383241233251706002
2Ondrej Pavelec47281530.9182.6728106412515230300.7508
3Michal Neuvirth38221400.9233.6822194013617640200.71414
4Cam Talbot2620600.9392.6915590070114200000
5Carter Hart 38201620.9173.6822868014016840200.7508

Bridgeport 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
2082353407303260269-941191603102133127641161804201127142-1590260456716057499807264986092183444283881484813903457120.58%3696582.38%31487305248.72%1479312147.39%655131149.96%1917128119726221072533
218241310621134632917412316020001771552241181504211169174-5993466139590013610310093709120511981288293723107490115263337723.12%3587579.05%61854367850.41%1894366551.68%743149949.57%1908126819426371089542
218241310621134632917412316020001771552241181504211169174-5993466139590013610310093709120511981288293723107490115263337723.12%3587579.05%61854367850.41%1894366551.68%743149949.57%1908126819426371089542
Total Saison régulière24611510709654940973-33123625303410472488-16123535406244468485-172689401644258494352301273151025534683458324112110087294827434608102225224.66%110325377.06%853171060750.13%50151038048.31%2021424347.63%582239285794188232201598
Séries éliminatoires
20624000001520-531200000811-33120000079-2415284310724219659605126258698610223417.39%33875.76%010722547.56%13630045.33%479847.96%154105160508542
Total Séries éliminatoires514000001316-3312000007702020000069-3213243700436018955424547278747811623730.43%33681.82%08524534.69%11131235.58%339435.11%14896168548743

Bridgeport 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
1Taylor Beck623520151513.33%012220.49101300000028.57%00.8100
2Alan Quine62352535238.70%012120.25011200000044.44%00.8200
3Radim Simek6134-28115812.50%1314424.1011230001000%00.5500
4Christian Fischer62242413111711.76%013622.70011200000049.70%00.5900
5Vladimir Sobotka521304841315.38%111923.82011100020053.85%00.5000

Bridgeport 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
1Thomas Greiss11000.9631.32910025400000
2Ondrej Pavelec51400.9163.33306201720300100