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Bridgeport
GP: 70 | W: 32 | L: 33 | OTL: 5 | P: 69
GF: 242 | GA: 242 | PP%: 21.43% | PK%: 82.28%
DG: Charles Lassonde | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #879 vs Hershey

Centre de jeu
Bridgeport
32-33-5, 69pts
5
7 Grand Rapids
33-33-4, 70pts
Team Stats
L2SéquenceL1
13-20-2Fiche domicile18-14-3
19-13-3Fiche domicile15-19-1
4-5-1Derniers 10 matchs3-6-1
3.46Buts par match 3.16
3.46Buts contre par match 3.43
21.43%Pourcentage en avantage numérique21.33%
82.28%Pourcentage en désavantage numérique83.71%
Providence
43-22-4, 90pts
8
5 Bridgeport
32-33-5, 69pts
Team Stats
W2SéquenceL2
27-7-2Fiche domicile13-20-2
16-15-2Fiche domicile19-13-3
8-2-0Derniers 10 matchs4-5-1
3.55Buts par match 3.46
2.96Buts contre par match 3.46
17.42%Pourcentage en avantage numérique21.43%
79.34%Pourcentage en désavantage numérique82.28%
Bridgeport
32-33-5, 69pts
Jour 163
Hershey
30-27-8, 68pts
Statistiques d’équipe
L2SéquenceW1
13-20-2Fiche domicile18-15-2
19-13-3Fiche visiteur12-12-6
4-5-110 derniers matchs7-3-0
3.46Buts par match 3.18
3.46Buts contre par match 3.18
21.43%Pourcentage en avantage numérique19.33%
82.28%Pourcentage en désavantage numérique82.85%
Bridgeport
32-33-5, 69pts
Jour 165
Grand Rapids
33-33-4, 70pts
Statistiques d’équipe
L2SéquenceL1
13-20-2Fiche domicile18-14-3
19-13-3Fiche visiteur15-19-1
4-5-110 derniers matchs3-6-1
3.46Buts par match 3.16
3.46Buts contre par match 3.16
21.43%Pourcentage en avantage numérique21.33%
82.28%Pourcentage en désavantage numérique83.71%
Syracuse
29-32-8, 66pts
Jour 166
Bridgeport
32-33-5, 69pts
Statistiques d’équipe
L1SéquenceL2
13-19-3Fiche domicile13-20-2
16-13-5Fiche visiteur19-13-3
4-5-110 derniers matchs4-5-1
2.87Buts par match 3.46
3.48Buts contre par match 3.46
18.56%Pourcentage en avantage numérique21.43%
81.25%Pourcentage en désavantage numérique82.28%
Meneurs d'équipe
Buts
Vasili Podkolzin
27
Passes
Vasili Podkolzin
39
Points
Vasili Podkolzin
66
Plus/Moins
Klas Dahlbeck
15
Victoires
Arvid Soderblom
24
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.913

Statistiques d’équipe
Buts pour
242
3.46 GFG
Tirs pour
2359
33.70 Avg
Pourcentage en avantage numérique
21.4%
54 GF
Début de zone offensive
39.6%
Buts contre
242
3.46 GAA
Tirs contre
2534
36.20 Avg
Pourcentage en désavantage numérique
82.3%%
56 GA
Début de la zone défensive
42.5%
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
Assistance2,208
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs70


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 FredericXXX100.00846370779479997571757466815046615000261975,000$
3Marcus FolignoXX100.008763617085808370706871717569882650003211,000,000$
4Alexander SteenXXX100.00593092437467787275667070759484650004011,760,000$
5Marcus JohanssonXXX100.00632796797884917379717157827068355000331975,000$
6Nicolas PetanX100.00653291807478817942727163815553425000291800,000$
7Aleksi Heponiemi (R)XXX100.00403099817469996470636660754646595000251900,000$
8Jack Studnicka (R)XX100.00783095808473876684656770754847585000251800,000$
9Max JonesXX100.00863589789076846770666964755251595000263750,000$
10Bobby Brink (R)X100.00823093837483997770777464844342765000222800,000$
11Alex Turcotte (R)XXX100.00733091847977867281727165704342715000232900,000$
12Vasili Podkolzin (R)XX100.00914586878280997270737271704342715000232900,000$
13Michael Del ZottoX100.006236946377818368505965867078693350003421,750,000$
14Jan RuttaX100.00723573668975885650515186747365355000331500,000$
15Scott HarringtonX100.00613887708871884850454887746548395000313500,000$
16Klas DahlbeckX100.006339786488739558505654907369643550003211,760,000$
17Marc Del Gaizo (R)X100.00783590748081994950494889704645705000242500,000$
Rayé
MOYENNE D’ÉQUIPE100.0071378774827689676564657275595648500
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)100.0066987486768485868680834544725000241700,000$
2Arvid Soderblom (R)99.0068978382778780848579824949675000241500,000$
Rayé
MOYENNE D’ÉQUIPE99.506798798477868385868083474770500
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/RW702739666575137742126317712.74%13122817.561012224920120271225148.39%9300001.0700001735
2Bobby BrinkBridgeport (NYI)RW70233356-634010889244621789.43%15140920.13813214920600071511441.58%27900000.7905000222
3Sam SteelNYIslandersC/LW/RW5216375300012115193551398.29%8111321.42215172915611261173151.16%151300100.9512000423
4Alex TurcotteBridgeport (NYI)C/LW/RW70152843426034133180601388.33%13125918.0029114416400071392250.87%137400000.6801000112
5Trent FredericBridgeport (NYI)C/LW/RW65172542-3561012679213711407.98%10129719.963121548182000101772147.45%68700100.6512011015
6Nicolas PetanBridgeport (NYI)C701526417203065169521068.88%9113616.2321012311550000324134.19%58200000.7223000231
7Klas DahlbeckBridgeport (NYI)D7010283815775776197224510.31%111137619.6612325920112212000%000000.5500001111
8Marcus FolignoBridgeport (NYI)LW/RW61171936-6680129431493810511.41%1293415.32415187101121074149.11%16900000.7700000322
9Michael Del ZottoBridgeport (NYI)D70132235-32803847130368210.00%90139920.006713722061013154100%000000.5000000112
10Marc Del GaizoBridgeport (NYI)D68122133-198610974980325915.00%106131319.32628281080001156200%000000.5000101100
11Alex VlasicNYIslandersD4242832442054405223467.69%9199223.62279271221124157110%000000.6500000011
12Marcus JohanssonBridgeport (NYI)C/LW/RW701417311401573142411069.86%598214.031015280001690148.02%47900000.6324000130
13Jan RuttaBridgeport (NYI)D601020302700743259206416.95%83100816.81336161090001590237.50%2400000.5900000023
14Michael AndersonNYIslandersD3791928-4480654375253912.00%7190424.444610401140110135210%000000.6202000311
15Alexander SteenBridgeport (NYI)C/LW/RW701212244401038108285311.11%96749.64000110112400050.40%37500000.7100000020
16Jack StudnickaBridgeport (NYI)C/RW701014244240798796128310.42%1581211.60000110002782053.87%62000000.5900000001
17Max JonesBridgeport (NYI)LW/RW7061218-124064367533828.00%85968.5200000000000055.56%7200000.6000000011
18Scott HarringtonBridgeport (NYI)D69511165360333441123512.20%89105315.27000040002930050.00%1000000.3000000112
19Tomas JurcoBridgeport (NYI)LW/RW5553804061140153712.50%32925.3200000000001042.11%1900000.5512000011
20Aleksi HeponiemiBridgeport (NYI)C/LW/RW8000-100033220%0445.5100011000000046.67%300000000000000
Statistiques d’équipe totales ou en moyenne1217240414654969030118811522358702171610.18%7611983016.29549915348419325611572009301648.55%632600200.66721114272833
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)45241720.9093.1826244213915220110.611184429610
2Akira SchmidBridgeport (NYI)2581430.9133.29144241799120020.33332435500
Statistiques d’équipe totales ou en moyenne70323150.9103.2240678321824340132168641110


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Akira SchmidBridgeport (NYI)G242000-05-12CHEYes205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$118,462$0$0$No---------------------------Lien NHL
Aleksi HeponiemiBridgeport (NYI)C/LW/RW251999-01-09FINYes155 Lbs5 ft10NoNoProspectNoNo12024-10-08FalseFalsePro & Farm900,000$152,308$0$0$No---------------------------
Alex TurcotteBridgeport (NYI)C/LW/RW232001-02-26USAYes185 Lbs5 ft11NoNoProspectNoNo22025-10-30FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------
Alexander SteenBridgeport (NYI)C/LW/RW401984-03-01SWENo213 Lbs6 ft0NoNoFree AgentNoNo12025-09-24FalseFalsePro & Farm1,760,000$297,846$0$0$No---------------------------Lien
Arvid SoderblomBridgeport (NYI)G241999-08-19SWEYes180 Lbs6 ft3NoNoProspectNoNo12025-10-30FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------
Bobby BrinkBridgeport (NYI)RW222001-07-08USAYes166 Lbs5 ft8NoNoProspectNoNo22025-10-30FalseFalsePro & Farm800,000$135,385$0$0$No800,000$--------800,000$--------No--------
Jack StudnickaBridgeport (NYI)C/RW251999-02-18CANYes187 Lbs6 ft1NoNoProspectNoNo12024-10-08FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien NHL
Jan RuttaBridgeport (NYI)D331990-07-29CZENo201 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien / Lien NHL
Klas DahlbeckBridgeport (NYI)D321991-07-06SWENo213 Lbs6 ft3NoNoFree AgentNoNo12025-09-24FalseFalsePro & Farm1,760,000$297,846$0$0$No---------------------------Lien
Marc Del GaizoBridgeport (NYI)D241999-10-11USAYes188 Lbs5 ft11NoNoProspectNoNo22025-10-30FalseFalsePro & Farm500,000$84,615$0$0$No500,000$--------500,000$--------No--------
Marcus FolignoBridgeport (NYI)LW/RW321991-08-10USANo223 Lbs6 ft3NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm1,000,000$169,231$0$0$No---------------------------Lien / Lien NHL
Marcus JohanssonBridgeport (NYI)C/LW/RW331990-10-06SWENo220 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$165,000$0$0$No---------------------------Lien / Lien NHL
Max JonesBridgeport (NYI)LW/RW261998-02-17USANo216 Lbs6 ft3NoNoProspectNoNo32025-09-11FalseFalsePro & Farm750,000$126,923$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien NHL
Michael Del ZottoBridgeport (NYI)D341990-06-24CANNo202 Lbs6 ft0NoNoFree Agent2025-03-23NoNo22025-09-24FalseFalsePro & Farm1,750,000$296,154$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Nicolas PetanBridgeport (NYI)C291995-03-22CANNo167 Lbs5 ft9NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien
Scott HarringtonBridgeport (NYI)D311993-03-10CANNo221 Lbs6 ft2NoNoFree AgentNoNo32025-11-01FalseFalsePro & Farm500,000$84,615$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Tomas JurcoBridgeport (NYI)LW/RW311992-12-28SLONo194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$165,000$0$0$No975,000$--------975,000$--------No--------Lien
Trent FredericBridgeport (NYI)C/LW/RW261998-02-11USANo220 Lbs6 ft3NoNoN/ANoNo12025-09-12FalseFalsePro & Farm975,000$165,000$0$0$No---------------------------Lien NHL
Vasili PodkolzinBridgeport (NYI)LW/RW232001-06-24RUSYes190 Lbs6 ft1NoNoProspectNoNo22025-10-30FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1928.26197 Lbs6 ft11.53933,947$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas PetanBobby Brink40014
2Vasili PodkolzinAlex Turcotte30023
3Marcus JohanssonJack StudnickaMax Jones20131
4Alexander Steen10140
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 PetanBobby Brink50005
2Vasili PodkolzinAlex Turcotte50014
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 Turcotte50140
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
1Bobby 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 PodkolzinBobby BrinkMichael Del Zotto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasili PodkolzinMarc Del Gaizo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, , Marcus JohanssonAlex Turcotte, Marcus Johansson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Marc Del Gaizo, Scott HarringtonMichael Del Zotto, Marc Del Gaizo
Tirs de pénalité
, , Bobby Brink, Nicolas Petan, Vasili Podkolzin
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , 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
1Abbotsford21000100651110000004221000010023-130.75061016008876731084769775788485698319222.22%40100.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
2Bakersfield220000001257110000004311100000082641.00012213300887673106176977578848652423318450.00%90100.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
3Charlotte303000001016-620200000610-41010000046-200.00010182800887673101247697757884811025226216212.50%9277.78%01224254048.19%1300272947.64%568115149.35%168111431631526921463
4Cleveland6330000023212303000001013-333000000138560.500233861008876731017576977578848213586811025624.00%32778.13%11224254048.19%1300272947.64%568115149.35%168111431631526921463
5Coachella Valley2020000058-31010000024-21010000034-100.00059140088767310457697757884870221439700.00%7185.71%11224254048.19%1300272947.64%568115149.35%168111431631526921463
6Eagles22000000413110000002111100000020241.00046100188767310527697757884885232023300.00%100100.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
7Grand Rapids303000001318-520200000811-31010000057-200.00013223500887673101097697757884810929284617211.76%13561.54%01224254048.19%1300272947.64%568115149.35%168111431631526921463
8Hartford413000001012-22020000025-32110000087120.25010182800887673101277697757884814644407414428.57%20385.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
9Hershey531010002116531101000109122000000117480.8002138590088767310160769775788481974353821218.33%23578.26%01224254048.19%1300272947.64%568115149.35%168111431631526921463
10Iowa22000000945110000005231100000042241.00091524008876731083769775788485133164213430.77%7185.71%01224254048.19%1300272947.64%568115149.35%168111431631526921463
11Laval31100100911-20000000000031100100911-230.500915241088767310101769775788481263738407342.86%16381.25%11224254048.19%1300272947.64%568115149.35%168111431631526921463
12Lehigh Valley512010012020031100001141312010100067-150.50020355500887673101827697757884820975748423521.74%36683.33%11224254048.19%1300272947.64%568115149.35%168111431631526921463
13Manitoba2020000037-41010000013-21010000024-200.0003691088767310717697757884869241034500.00%5180.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
14Ontario11000000321000000000001100000032121.0003470088767310317697757884828166215120.00%30100.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
15Providence413000001013-3211000008802020000025-320.25010172701887673101137697757884816668285514214.29%14192.86%01224254048.19%1300272947.64%568115149.35%168111431631526921463
16Rockford11000000404110000004040000000000021.0004711018876731033769775788482768144250.00%40100.00%01224254048.19%1300272947.64%568115149.35%168111431631526921463
17San Diego201010005501010000012-11000100043120.50057120088767310567697757884889312631300.00%11281.82%01224254048.19%1300272947.64%568115149.35%168111431631526921463
18San Jose21100000611-51010000018-71100000053220.5006121800887673106576977578848871926356233.33%13561.54%01224254048.19%1300272947.64%568115149.35%168111431631526921463
19Springfield321000001091110000005232110000057-240.6671016260088767310917697757884811730495411218.18%14285.71%01224254048.19%1300272947.64%568115149.35%168111431631526921463
20Syracuse311000101073110000005232010001055040.66710162600887673101147697757884888253360800.00%13376.92%11224254048.19%1300272947.64%568115149.35%168111431631526921463
21Texas3120000078-12020000047-31100000031220.333712190088767310109769775788489132266012325.00%13192.31%01224254048.19%1300272947.64%568115149.35%168111431631526921463
22Utica 42200000171432110000010822110000076140.50017314800887673101487697757884811337365713323.08%17288.24%01224254048.19%1300272947.64%568115149.35%168111431631526921463
23Wilkes-Barre/Scranton612000122529-4301000111416-2311000011113-260.500254368108876731022576977578848222534610317635.29%23673.91%01224254048.19%1300272947.64%568115149.35%168111431631526921463
Total70273303223242242035112001012120129-9351613022111221139690.4932424166583388767310235976977578848253476369811882525421.43%3165682.28%51224254048.19%1300272947.64%568115149.35%168111431631526921463
_Since Last GM Reset70273303223242242035112001012120129-9351613022111221139690.4932424166583388767310235976977578848253476369811882525421.43%3165682.28%51224254048.19%1300272947.64%568115149.35%168111431631526921463
_Vs Conference46142402123168177-923514010128795-823910011118182-1400.435168291459218876731015787697757884816994944667731663420.48%2164380.09%41224254048.19%1300272947.64%568115149.35%168111431631526921463
_Vs Division3011130201311611241639010126064-414840100156488310.517116203319108876731010177697757884811003103175101042524.04%1512980.79%21224254048.19%1300272947.64%568115149.35%168111431631526921463

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7069L224241665823592534763698118833
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7027333223242242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3511201012120129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3516132211122113
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2525421.43%3165682.28%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
7697757884888767310
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
1224254048.19%1300272947.64%568115149.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168111431631526921463


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
126674Bridgeport4Iowa2WSommaire du match
128684Bakersfield3Bridgeport4WSommaire du match
132704Bridgeport3Laval5LSommaire du match
133712Grand Rapids5Bridgeport4LSommaire du match
136729Abbotsford2Bridgeport4WSommaire du match
138740Bridgeport2Hartford3LSommaire du match
140754Utica 2Bridgeport6WSommaire du match
141763Bridgeport3Texas1WSommaire du match
144776Bridgeport2Manitoba4LSommaire du match
146787Wilkes-Barre/Scranton5Bridgeport3LSommaire du match
149801Bridgeport6Hershey4WSommaire du match
151812Providence0Bridgeport3WSommaire du match
153822Bridgeport3Wilkes-Barre/Scranton4LXXSommaire du match
155835Hershey3Bridgeport2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157847Bridgeport5Wilkes-Barre/Scranton3WSommaire du match
159860Bridgeport5Grand Rapids7LSommaire du match
160866Providence8Bridgeport5LSommaire du match
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
Assistance51,82625,452
Assistance PCT74.04%72.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2208 - 73.60% 129,402$4,529,061$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,528,314$ 1,774,500$ 1,774,500$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,100$ 1,620,578$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
776,410$ 33 27,049$ 892,617$




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

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

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

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

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