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Bridgeport
GP: 53 | W: 24 | L: 25 | OTL: 4 | P: 52
GF: 178 | GA: 181 | PP%: 21.03% | PK%: 81.89%
DG: Charles Lassonde | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #674 vs Iowa

Centre de jeu
Bridgeport
24-25-4, 52pts
8
FINAL
2 Bakersfield
23-29-4, 50pts
Team Stats
W2SéquenceL1
9-16-2Fiche domicile10-15-1
15-9-2Fiche domicile13-14-3
4-6-0Derniers 10 matchs6-4-0
3.36Buts par match 2.91
3.42Buts contre par match 3.27
21.03%Pourcentage en avantage numérique16.67%
81.89%Pourcentage en désavantage numérique82.86%
Syracuse
20-26-6, 46pts
2
FINAL
5 Bridgeport
24-25-4, 52pts
Team Stats
L1SéquenceW2
9-16-2Fiche domicile9-16-2
11-10-4Fiche domicile15-9-2
8-2-0Derniers 10 matchs4-6-0
2.85Buts par match 3.36
3.67Buts contre par match 3.42
19.03%Pourcentage en avantage numérique21.03%
81.63%Pourcentage en désavantage numérique81.89%
Bridgeport
24-25-4, 52pts
Jour 126
Iowa
18-35-2, 38pts
Statistiques d’équipe
W2SéquenceL1
9-16-2Fiche domicile11-14-1
15-9-2Fiche visiteur7-21-1
4-6-010 derniers matchs2-8-0
3.36Buts par match 2.84
3.42Buts contre par match 2.84
21.03%Pourcentage en avantage numérique14.65%
81.89%Pourcentage en désavantage numérique76.13%
Bakersfield
23-29-4, 50pts
Jour 128
Bridgeport
24-25-4, 52pts
Statistiques d’équipe
L1SéquenceW2
10-15-1Fiche domicile9-16-2
13-14-3Fiche visiteur15-9-2
6-4-010 derniers matchs4-6-0
2.91Buts par match 3.36
3.27Buts contre par match 3.36
16.67%Pourcentage en avantage numérique21.03%
82.86%Pourcentage en désavantage numérique81.89%
Bridgeport
24-25-4, 52pts
Jour 132
Laval
23-22-7, 53pts
Statistiques d’équipe
W2SéquenceL1
9-16-2Fiche domicile11-10-5
15-9-2Fiche visiteur12-12-2
4-6-010 derniers matchs4-4-2
3.36Buts par match 3.27
3.42Buts contre par match 3.27
21.03%Pourcentage en avantage numérique19.63%
81.89%Pourcentage en désavantage numérique85.57%
Meneurs d'équipe
Buts
Vasili Podkolzin
24
Passes
Vasili Podkolzin
31
Points
Vasili Podkolzin
55
Plus/Moins
Klas Dahlbeck
12
Victoires
Arvid Soderblom
18
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.914

Statistiques d’équipe
Buts pour
178
3.36 GFG
Tirs pour
1759
33.19 Avg
Pourcentage en avantage numérique
21.0%
41 GF
Début de zone offensive
39.5%
Buts contre
181
3.42 GAA
Tirs contre
1908
36.00 Avg
Pourcentage en désavantage numérique
81.9%%
46 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralCharles Lassonde
EntraîneurMartin St-Louis
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2Marc Methot


Informations de l’aréna

Capacité3,000
Assistance2,211
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 50
Espoirs70


Historique d'équipe

Saison actuelle24-25-4 (52PTS)
Historique69-58-8 (0.511%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)15 - 17 (0.469%)
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
1Tomas JurcoXX100.00622887787873806669636463765655425000312975,000$
2Trent FredericXXX100.00836370779479997571747467814946625000261975,000$
3Marcus FolignoXX100.008863617085808370706871727569882750003211,000,000$
4Sam SteelXXX99.006834979179879976897574688148456150002611,050,000$
5Alexander SteenXXX100.00593092437467787275666971759383750004011,760,000$
6Marcus JohanssonXXX100.00632795797884917279717157826967365000331975,000$
7Nicolas PetanX100.00653291807478817942717163815453435000291800,000$
8Aleksi Heponiemi (R)XXX100.00403099817469996470636660754646595000251900,000$
9Jack Studnicka (R)XX100.00783095808473876684656770754747595000251800,000$
10Max JonesXX100.00863589778976846770666965755151605000263750,000$
11Bobby Brink (R)X100.00823093827383997670777365844242775000222800,000$
12Alex Turcotte (R)XXX100.00733091847977867281717165704242725000232900,000$
13Vasili Podkolzin (R)XX100.00914586878280997270727271704242725000232900,000$
14Michael Del ZottoX100.006336946377818367505965867077683450003421,750,000$
15Jan RuttaX99.00723573668975885550505186747365355000331500,000$
16Scott HarringtonX100.00613887708871884750454787746448405000313500,000$
17Michael Anderson (R)X100.00812788898192995472575094784745715000251700,000$
18Klas DahlbeckX100.006339786488739558505654907368643650003211,760,000$
19Marc Del Gaizo (R)X100.00783591748081994850474889704545715000242500,000$
Rayé
MOYENNE D’ÉQUIPE99.8971368776817890666664657376575551500
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
1Akira Schmid (R)100.0066987486768485868680834443725000241700,000$
2Arvid Soderblom (R)100.0068978382778780848479824949675000241500,000$
Rayé
MOYENNE D’ÉQUIPE100.006798798477868385858083474670500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St-Louis87858885879972CAN5023,500,000$


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
1Vasili PodkolzinBridgeport (NYI)LW/RW532431557515111631624412914.81%996518.238917341552027944047.22%7200001.1400001634
2Sam SteelBridgeport (NYI)C/LW/RW43132942000792153461168.50%592421.49112132012911261153050.76%125100000.9112000222
3Bobby BrinkBridgeport (NYI)RW53172441-72206571185491389.19%8109420.66610163115400071511442.11%24700000.7504000211
4Trent FredericBridgeport (NYI)C/LW/RW52122133-8501010269163581097.36%8109521.06210123915200091750147.00%66600100.6011011013
5Alex VlasicNYIslandersD4242832442054405223467.69%9199223.62279271221124157110%000000.6500000011
6Alex TurcotteBridgeport (NYI)C/LW/RW5313193242202992122379910.66%891017.17257281180004882250.17%88900000.7001000112
7Nicolas PetanBridgeport (NYI)C53101929520195412039668.33%783115.69178161020000322034.41%55800000.7023000220
8Marcus FolignoBridgeport (NYI)LW/RW48121628-66201203313125849.16%779616.6041518710112683147.80%15900000.7000000212
9Michael AndersonBridgeport (NYI)D3791928-4480654375253912.00%7190424.444610401140110135210%000000.6202000311
10Klas DahlbeckBridgeport (NYI)D53721281261551447418329.46%83104119.6512325920112178000%000000.5400001011
11Michael Del ZottoBridgeport (NYI)D53111324-4240343996234511.46%65115121.72459431461013150100%000000.4200000112
12Marcus JohanssonBridgeport (NYI)C/LW/RW537121914012569831717.14%269513.121015270000120047.56%43100000.5524000000
13Jan RuttaBridgeport (NYI)D43711187540541438164618.42%4862214.48112872000158010%000000.5800000012
14Jack StudnickaBridgeport (NYI)C/RW5361016422061446110559.84%854810.35000000000271051.71%23400000.5800000001
15Marc Del GaizoBridgeport (NYI)D516915-16495663252193711.54%6490517.7541521700000115100%000000.3300100000
16Alexander SteenBridgeport (NYI)C/LW/RW5357124206215915288.47%65139.69000110112400050.56%17800000.4700000010
17Scott HarringtonBridgeport (NYI)D5248125260141932102012.50%6269613.40000020001530062.50%800000.3400000102
18Max JonesBridgeport (NYI)LW/RW534711-116041224622508.70%83847.2500000000000056.45%6200000.5700000011
19Tomas JurcoBridgeport (NYI)LW/RW5253812061137153613.51%12755.3100000000001042.11%1900000.5812000011
20Aleksi HeponiemiBridgeport (NYI)C/LW/RW8000-100033220%0445.5100011000000046.67%300000000000000
Statistiques d’équipe totales ou en moyenne9581763074837559259178621759527124810.01%5611539416.07417611735715375611481658221147.42%480400100.63719113201926
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
1Arvid SoderblomBridgeport (NYI)34181310.9023.3719614111011270000.688163314410
2Akira SchmidBridgeport (NYI)2161230.9143.24120321657570010.33332035500
Statistiques d’équipe totales ou en moyenne55242540.9073.323165621751884001195349910


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Akira SchmidBridgeport (NYI)G242000-05-12CHEYes205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$254,872$0$0$No---------------------------Lien NHL
Aleksi HeponiemiBridgeport (NYI)C/LW/RW251999-01-09FINYes155 Lbs5 ft10NoNoProspectNoNo12024-10-08FalseFalsePro & Farm900,000$327,692$0$0$No---------------------------
Alex TurcotteBridgeport (NYI)C/LW/RW232001-02-26USAYes185 Lbs5 ft11NoNoProspectNoNo22025-10-30FalseFalsePro & Farm900,000$327,692$0$0$No900,000$--------900,000$--------No--------
Alexander SteenBridgeport (NYI)C/LW/RW401984-03-01SWENo213 Lbs6 ft0NoNoFree AgentNoNo12025-09-24FalseFalsePro & Farm1,760,000$640,821$0$0$No---------------------------Lien
Arvid SoderblomBridgeport (NYI)G241999-08-19SWEYes180 Lbs6 ft3NoNoProspectNoNo12025-10-30FalseFalsePro & Farm500,000$182,051$0$0$No---------------------------
Bobby BrinkBridgeport (NYI)RW222001-07-08USAYes166 Lbs5 ft8NoNoProspectNoNo22025-10-30FalseFalsePro & Farm800,000$291,282$0$0$No800,000$--------800,000$--------No--------
Jack StudnickaBridgeport (NYI)C/RW251999-02-18CANYes187 Lbs6 ft1NoNoProspectNoNo12024-10-08FalseFalsePro & Farm800,000$291,282$0$0$No---------------------------Lien NHL
Jan RuttaBridgeport (NYI)D331990-07-29CZENo201 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$182,051$0$0$No---------------------------Lien / Lien NHL
Klas DahlbeckBridgeport (NYI)D321991-07-06SWENo213 Lbs6 ft3NoNoFree AgentNoNo12025-09-24FalseFalsePro & Farm1,760,000$640,821$0$0$No---------------------------Lien
Marc Del GaizoBridgeport (NYI)D241999-10-11USAYes188 Lbs5 ft11NoNoProspectNoNo22025-10-30FalseFalsePro & Farm500,000$182,051$0$0$No500,000$--------500,000$--------No--------
Marcus FolignoBridgeport (NYI)LW/RW321991-08-10USANo223 Lbs6 ft3NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm1,000,000$364,103$0$0$No---------------------------Lien / Lien NHL
Marcus JohanssonBridgeport (NYI)C/LW/RW331990-10-06SWENo220 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$355,000$0$0$No---------------------------Lien / Lien NHL
Max JonesBridgeport (NYI)LW/RW261998-02-17USANo216 Lbs6 ft3NoNoProspectNoNo32025-09-11FalseFalsePro & Farm750,000$273,077$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien NHL
Michael AndersonBridgeport (NYI)D251999-05-25USAYes195 Lbs6 ft0NoNoProspectNoNo12024-09-20FalseFalsePro & Farm700,000$254,872$0$0$No---------------------------
Michael Del ZottoBridgeport (NYI)D341990-06-24CANNo202 Lbs6 ft0NoNoFree Agent2025-03-23NoNo22025-09-24FalseFalsePro & Farm1,750,000$637,179$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Nicolas PetanBridgeport (NYI)C291995-03-22CANNo167 Lbs5 ft9NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$291,282$0$0$No---------------------------Lien
Sam SteelBridgeport (NYI)C/LW/RW261998-02-03CANNo185 Lbs6 ft0NoNoN/ANoNo12025-09-11FalseFalsePro & Farm1,050,000$382,308$0$0$No---------------------------Lien NHL
Scott HarringtonBridgeport (NYI)D311993-03-10CANNo221 Lbs6 ft2NoNoFree AgentNoNo32025-11-01FalseFalsePro & Farm500,000$182,051$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Tomas JurcoBridgeport (NYI)LW/RW311992-12-28SLONo194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$355,000$0$0$No975,000$--------975,000$--------No--------Lien
Trent FredericBridgeport (NYI)C/LW/RW261998-02-11USANo220 Lbs6 ft3NoNoN/ANoNo12025-09-12FalseFalsePro & Farm975,000$355,000$0$0$No---------------------------Lien NHL
Vasili PodkolzinBridgeport (NYI)LW/RW232001-06-24RUSYes190 Lbs6 ft1NoNoProspectNoNo22025-10-30FalseFalsePro & Farm900,000$327,692$0$0$No900,000$--------900,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.00196 Lbs6 ft11.48928,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas PetanSam SteelBobby Brink40014
2Vasili PodkolzinAlex TurcotteTrent Frederic30023
3Marcus JohanssonJack StudnickaMax Jones20131
4Marcus FolignoAlexander SteenTomas Jurco10140
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del Gaizo38032
2Klas DahlbeckScott Harrington32131
3Michael Del ZottoJan Rutta22131
4Marc Del Gaizo8122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas PetanSam SteelBobby Brink50005
2Vasili PodkolzinAlex TurcotteTrent Frederic50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del Zotto50014
2Marc Del GaizoJan Rutta50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack StudnickaMarcus Johansson50140
2Alex TurcotteMarcus Foligno50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del Gaizo50140
2Klas DahlbeckScott Harrington50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Studnicka50050Michael Del Zotto50140
2Marcus Johansson50050Klas DahlbeckJan Rutta50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam SteelBobby Brink50023
2Alex TurcotteVasili Podkolzin50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del Zotto50023
2Marc Del GaizoJan Rutta50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasili PodkolzinSam SteelBobby BrinkMichael Del Zotto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasili PodkolzinSam SteelTrent FredericMarc Del Gaizo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, Trent Frederic, Marcus JohanssonAlex Turcotte, Trent FredericMarcus Johansson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Marc Del Gaizo, Scott HarringtonMichael Del Zotto, Marc Del Gaizo
Tirs de pénalité
Sam Steel, Trent Frederic, Bobby Brink, Nicolas Petan, Vasili Podkolzin
Gardien
#1 : Akira Schmid, #2 : Arvid Soderblom
Lignes d’attaque personnalisées en prolongation
Sam Steel, Trent Frederic, Bobby Brink, Nicolas Petan, Vasili Podkolzin, Marcus Johansson, Alex Turcotte, Jack Studnicka, Alexander Steen, Max Jones
Lignes de défense personnalisées en prolongation
, Marc Del Gaizo, Michael Del Zotto, Klas Dahlbeck, Scott Harrington


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
1Abbotsford1000010023-1000000000001000010023-110.500235005861541034563577596422276185120.00%30100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
2Bakersfield11000000826000000000001100000082621.000816240058615410295635775964234108104375.00%40100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
3Charlotte303000001016-620200000610-41010000046-200.00010182800586154101245635775964211025226216212.50%9277.78%0918191547.94%950206845.94%41486447.92%12678581239403701351
4Cleveland6330000023212303000001013-333000000138560.500233861005861541017556357759642213586811025624.00%32778.13%1918191547.94%950206845.94%41486447.92%12678581239403701351
5Coachella Valley2020000058-31010000024-21010000034-100.00059140058615410455635775964270221439700.00%7185.71%1918191547.94%950206845.94%41486447.92%12678581239403701351
6Eagles22000000413110000002111100000020241.00046100158615410525635775964285232023300.00%100100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
7Grand Rapids1010000046-21010000046-20000000000000.0004711005861541032563577596423571018700.00%5340.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
8Hartford3120000089-12020000025-31100000064220.3338152300586154101025635775964211132305413430.77%15286.67%0918191547.94%950206845.94%41486447.92%12678581239403701351
9Hershey320010001394210010008621100000053261.000132336005861541098563577596421182733507114.29%13376.92%0918191547.94%950206845.94%41486447.92%12678581239403701351
10Iowa11000000523110000005230000000000021.00059140058615410455635775964220810267114.29%4175.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
11Laval21000100660000000000002100010066030.7506101600586154107256357759642802422277342.86%9188.89%1918191547.94%950206845.94%41486447.92%12678581239403701351
12Lehigh Valley512010012020031100001141312010100067-150.50020355500586154101825635775964220975748423521.74%36683.33%1918191547.94%950206845.94%41486447.92%12678581239403701351
13Manitoba1010000013-21010000013-20000000000000.000123105861541039563577596422810612300.00%30100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
14Ontario11000000321000000000001100000032121.0003470058615410315635775964228166215120.00%30100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
15Providence2020000025-3000000000002020000025-300.0002460058615410515635775964289321831800.00%90100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
16Rockford11000000404110000004040000000000021.0004711015861541033563577596422768144250.00%40100.00%0918191547.94%950206845.94%41486447.92%12678581239403701351
17San Diego201010005501010000012-11000100043120.50057120058615410565635775964289312631300.00%11281.82%0918191547.94%950206845.94%41486447.92%12678581239403701351
18San Jose21100000611-51010000018-71100000053220.5006121800586154106556357759642871926356233.33%13561.54%0918191547.94%950206845.94%41486447.92%12678581239403701351
19Springfield321000001091110000005232110000057-240.6671016260058615410915635775964211730495411218.18%14285.71%0918191547.94%950206845.94%41486447.92%12678581239403701351
20Syracuse311000101073110000005232010001055040.66710162600586154101145635775964288253360800.00%13376.92%1918191547.94%950206845.94%41486447.92%12678581239403701351
21Texas2020000047-32020000047-30000000000000.000471100586154107656357759642511918407228.57%9188.89%0918191547.94%950206845.94%41486447.92%12678581239403701351
22Utica 312000001112-11010000046-22110000076120.33311193000586154109856357759642833430428337.50%14285.71%0918191547.94%950206845.94%41486447.92%12678581239403701351
23Wilkes-Barre/Scranton301000111417-320000011111101010000036-330.5001424380058615410115563577596421142128568337.50%14564.29%0918191547.94%950206845.94%41486447.92%12678581239403701351
Total53192503222178181-3277160101289101-12261290221089809520.491178307485125861541017595635775964219085615659171954121.03%2544681.89%5918191547.94%950206845.94%41486447.92%12678581239403701351
_Since Last GM Reset53192503222178181-3277160101289101-12261290221089809520.491178307485125861541017595635775964219085615659171954121.03%2544681.89%5918191547.94%950206845.94%41486447.92%12678581239403701351
_Vs Conference34101702122121128-717310010126472-817770111057561310.456121209330005861541011635635775964212503603685941302720.77%1693479.88%4918191547.94%950206845.94%41486447.92%12678581239403701351
_Vs Division2381002012898811327010124954-510630100040346240.52289154243005861541077056357759642848247263396842226.19%1242579.84%2918191547.94%950206845.94%41486447.92%12678581239403701351

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5352W21783074851759190856156591712
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5319253222178181
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27716101289101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2612922108980
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1954121.03%2544681.89%5
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
5635775964258615410
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
918191547.94%950206845.94%41486447.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12678581239403701351


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
210Lehigh Valley6Bridgeport5LXXSommaire du match
521Bridgeport3Wilkes-Barre/Scranton6LSommaire du match
833Bridgeport3Laval4LXSommaire du match
1041Hershey3Bridgeport4WXSommaire du match
1357Wilkes-Barre/Scranton5Bridgeport4LXXSommaire du match
1567Bridgeport3Laval2WSommaire du match
1776Bridgeport2Syracuse1WXXSommaire du match
1988Cleveland6Bridgeport5LSommaire du match
2091Bridgeport5Hershey3WSommaire du match
2298Bridgeport3Cleveland2WSommaire du match
25113Bridgeport4Lehigh Valley3WXSommaire du match
27124Lehigh Valley3Bridgeport6WSommaire du match
31144Hartford2Bridgeport1LSommaire du match
33156Bridgeport1Providence2LSommaire du match
35164Bridgeport3Utica 1WSommaire du match
36172Charlotte5Bridgeport3LSommaire du match
39191Bridgeport3Cleveland2WSommaire du match
40198Hershey3Bridgeport4WSommaire du match
43217Wilkes-Barre/Scranton6Bridgeport7WXXSommaire du match
46228Bridgeport2Abbotsford3LXSommaire du match
48239Bridgeport2Eagles0WSommaire du match
50247Hartford3Bridgeport1LSommaire du match
52261Bridgeport7Cleveland4WSommaire du match
55271Bridgeport4San Diego3WXSommaire du match
56275Iowa2Bridgeport5WSommaire du match
60297Rockford0Bridgeport4WSommaire du match
63313Bridgeport3Syracuse4LSommaire du match
65324Texas4Bridgeport2LSommaire du match
68337Bridgeport4Springfield3WSommaire du match
70348Bridgeport4Charlotte6LSommaire du match
71351Lehigh Valley4Bridgeport3LSommaire du match
74372Springfield2Bridgeport5WSommaire du match
76386Bridgeport1Springfield4LSommaire du match
78397San Jose8Bridgeport1LSommaire du match
79407Bridgeport1Providence3LSommaire du match
81419Bridgeport6Hartford4WSommaire du match
83427Texas3Bridgeport2LSommaire du match
86447Utica 6Bridgeport4LSommaire du match
89466Eagles1Bridgeport2WSommaire du match
94491Cleveland3Bridgeport2LSommaire du match
98509San Diego2Bridgeport1LSommaire du match
101527Bridgeport2Lehigh Valley4LSommaire du match
103534Bridgeport4Utica 5LSommaire du match
104541Coachella Valley4Bridgeport2LSommaire du match
107561Grand Rapids6Bridgeport4LSommaire du match
109572Bridgeport3Coachella Valley4LSommaire du match
110584Bridgeport5San Jose3WSommaire du match
112592Charlotte5Bridgeport3LSommaire du match
115613Bridgeport3Ontario2WSommaire du match
116617Cleveland4Bridgeport3LSommaire du match
120635Manitoba3Bridgeport1LSommaire du match
122650Bridgeport8Bakersfield2WSommaire du match
124661Syracuse2Bridgeport5WSommaire du match
126674Bridgeport-Iowa-
128684Bakersfield-Bridgeport-
132704Bridgeport-Laval-
133712Grand Rapids-Bridgeport-
136729Abbotsford-Bridgeport-
138740Bridgeport-Hartford-
140754Utica -Bridgeport-
141763Bridgeport-Texas-
144776Bridgeport-Manitoba-
146787Wilkes-Barre/Scranton-Bridgeport-
149801Bridgeport-Hershey-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151812Providence-Bridgeport-
153822Bridgeport-Wilkes-Barre/Scranton-
155835Hershey-Bridgeport-
157847Bridgeport-Wilkes-Barre/Scranton-
159860Bridgeport-Grand Rapids-
160866Providence-Bridgeport-
163879Bridgeport-Hershey-
165891Bridgeport-Grand Rapids-
166897Syracuse-Bridgeport-
170915Rochester-Bridgeport-
173929Bridgeport-Rochester-
175940Rochester-Bridgeport-
179959Laval-Bridgeport-
180963Bridgeport-Rochester-
182970Bridgeport-Charlotte-
185983Bridgeport-Rockford-
1891000Ontario-Bridgeport-
1931016Laval-Bridgeport-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance40,06719,632
Assistance PCT74.20%72.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2211 - 73.70% 129,615$3,499,617$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,469,954$ 1,949,500$ 1,949,500$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,997$ 1,244,280$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,814,616$ 71 27,946$ 1,984,166$




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
1Vladislav Kamenev5629376610185416325611.33%7121221.65714215021364255.83%11.0901
2Micheal Ferland67234063264956821310.80%9130019.41813214500062054.42%00.9701
3Christian Fischer78223759-4661551132309.57%12147318.89513185200023247.88%00.8001
4Alan Quine81243357-520461062519.56%8147518.2277145300014349.21%00.7701
5Taylor Beck78312455-818446718616.67%25137217.5997165300005250.54%10.8000

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
1Ondrej Pavelec47281530.9182.6728106412515230300.7508
2Devan Dubnyk2614830.9282.77153821719920100.69213
3Thomas Greiss26111230.9122.991545017787100002
4James Reimer174930.9122.8399721475330020.3333
5Corey Crawford42200.8834.87197001613700100

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
2082413301232266295-2941201701210134156-2241211600022132139-794266468734328497815262386690882939277389684715163285416.46%3336580.48%21529300550.88%1557309050.39%665133749.74%1891126419896331070529
2353192503222178181-3277160101289101-1226129022108980952178307485125861541017595635775964219085615659171954121.03%2544681.89%5918191547.94%950206845.94%41486447.92%12678581239403701351
Total Saison régulière135605804454444476-3268273302222223257-346733250223222121921464447751219441421581351543821429148514258146811457141224335239518.16%58711181.09%72447492049.74%2507515848.60%1079220149.02%31582122322810371771880
Séries éliminatoires
20514000001316-3312000007702020000069-3213243700436018955424547278747811623730.43%33681.82%08524534.69%11131235.58%339435.11%14896168548743
2122139000007890-12107300000423661266000003654-182678136214013321222975348294329410562942294661102421.82%963563.54%0414103340.08%369100836.61%16538442.97%515346518167288145
22514000001220-82110000055030300000715-821219310024601866652680199497610810330.00%33875.76%110321148.82%9421443.93%468355.42%11375120386632
Total Séries éliminatoires32151700000103126-231596000005448617611000004978-293010317928201392834213504693884425115334173836901433423.78%1624969.75%1602148940.43%574153437.42%24456143.49%777517807259442221

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 Beck2061723140918629.68%136518.252351800001042.86%01.2600
2Alexei Toropchenko1413922111631168315.66%329020.754262500000260.00%01.5100
3Adam Ruzicka1488161266366212.90%129921.41011800001053.55%01.0700
4Shane Pinto145914-581034549.26%325618.331341300001051.58%01.0900
5Brett Kulak2031114-2103923378.11%3946823.41224160001000%00.6000

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
1Cam Talbot86100.9422.48460011933000000
2Carter Hart 72500.9133.88387002528700100
3Thomas Greiss11000.9631.32910025400000
4Ondrej Pavelec51400.9163.33306201720300100