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Connexion

Bridgeport
GP: 82 | W: 42 | L: 30 | OTL: 10 | P: 94
GF: 267 | GA: 234 | PP%: 18.57% | PK%: 84.88%
DG: Charles Lassonde | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Wilkes-Barre/Scranton
43-26-13, 99pts
3
FINAL
2 Bridgeport
42-30-10, 94pts
Team Stats
SOL1SéquenceW1
20-12-9Fiche domicile21-17-3
23-14-4Fiche domicile21-13-7
6-3-1Derniers 10 matchs6-4-0
3.18Buts par match 3.26
3.02Buts contre par match 2.85
17.07%Pourcentage en avantage numérique18.57%
84.94%Pourcentage en désavantage numérique84.88%
Bridgeport
42-30-10, 94pts
5
FINAL
4 Springfield
45-30-7, 97pts
Team Stats
W1SéquenceL2
21-17-3Fiche domicile22-17-2
21-13-7Fiche domicile23-13-5
6-4-0Derniers 10 matchs5-5-0
3.26Buts par match 3.18
2.85Buts contre par match 2.93
18.57%Pourcentage en avantage numérique16.14%
84.88%Pourcentage en désavantage numérique84.37%
Meneurs d'équipe
Buts
William Eklund
32
Passes
William Eklund
41
Points
William Eklund
73
Plus/Moins
William Eklund
17
Filip GustavssonVictoires
Filip Gustavsson
31
Filip GustavssonPourcentage d’arrêts
Filip Gustavsson
0.922

Statistiques d’équipe
Buts pour
267
3.26 GFG
Tirs pour
2996
36.54 Avg
Pourcentage en avantage numérique
18.6%
65 GF
Début de zone offensive
42.4%
Buts contre
234
2.85 GAA
Tirs contre
2809
34.26 Avg
Pourcentage en désavantage numérique
84.9%%
52 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralCharles Lassonde
EntraîneurMartin St-Louis
DivisionAtlantique
ConférenceConference est
CapitaineMark Giordano
Assistant #1Niklas Hjalmarsson
Assistant #2Marc Methot


Informations de l’aréna

Capacité3,000
Assistance2,250
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs46


Historique d'équipe

Saison actuelle42-30-10 (94PTS)
Historique0-0-0
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 JurcoXX100.00643086807774807070676864775552445000303975,000$
2Trent Frederic (R)XXX100.00856975749377997570747567794847645000251800,000$
3Marcus FolignoXX100.009168667387828371706973727567872850003121,000,000$
4Sam Steel (R)XXX100.00723295888185997688747468794746655000251900,000$
5Ryan McLeod (R)XXX100.00793096788580977487737481754342725000232700,000$
6Marcus JohanssonXXX100.00682796818085917580717558836766385000322975,000$
7Trevor MooreXX100.006922898076809467716770657660535350002811,075,000$
8William Eklund (R)XXX100.00743090878189967867777668773232865000203900,000$
9Nicolas PetanX100.00673190807578808046747164815254465000281975,000$
10TJ OshieX100.008343766579818670706873719688841850003611,320,000$
11Aleksi Heponiemi (R)XXX100.00403099817469996570646660754645595000242900,000$
12Jack Studnicka (R)XX100.00783095798373876684656771754646605000242800,000$
13Max Jones (R)XX100.00873589778976846870677066755050615000251900,000$
14Niklas Hjalmarsson (A)X100.0086384652806988493250459169928995000361950,000$
15Jan RuttaX100.007336766987788857505253877571643750003212,000,000$
16Michael Anderson (R)X100.00862592868389995070554493754646745000242700,000$
17Mark Giordano (C)X100.007432816580819852705646937796961350003911,340,000$
18Jon MerrillX100.006133847088838651504854878065584150003121,240,000$
19Alex Vlasic (R)X100.00794079729490924970544493753939805000223700,000$
Rayé
1Martin HanzalX100.007330934997737069986867698382752850003611,200,000$
MOYENNE D’ÉQUIPE100.0074368574838090666965647478605949500
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
1Filip Gustavsson99.0069978980778789908780795049745000251600,000$
2Akira Schmid (R)100.0067987486768485868680834241735000232700,000$
Rayé
MOYENNE D’ÉQUIPE99.506898828377868788878081464574500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St-Louis87858885879972CAN4933,500,000$


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
1William EklundBridgeport (NYI)C/LW/RW7332417317535114105336742289.52%12159221.817172471253213162202341.92%16700110.9201001545
2Sam SteelBridgeport (NYI)C/LW/RW802941709140461532688821410.82%9151919.00515206524601141676054.05%151900000.9204000361
3Ryan McLeodBridgeport (NYI)C/LW/RW682140611736080166269691977.81%12149321.96812206724311261864251.23%211000000.8201000243
4Trent FredericBridgeport (NYI)C/LW/RW77253257810020160752286817710.96%8139818.175914542650001813048.50%30100000.8112111411
5Marcus FolignoBridgeport (NYI)LW/RW74183452141283017453218571648.26%9114015.414913421731124936252.12%16500000.9112023612
6Michael AndersonBridgeport (NYI)D821236481757510787157491207.64%164200924.5096159029300012791050.00%800000.4801000241
7Marcus JohanssonBridgeport (NYI)C/LW/RW82143246-111402690202661396.93%8127615.56279301460001363151.22%86300010.7202000124
8Alexey MarchenkoNYIslandersD5312334563804353119417510.08%86117522.1881422561680112177210%000000.7700000233
9Alex VlasicBridgeport (NYI)D82132740265157663118438111.02%125181922.198816642690110269010%000000.4400102112
10Nicolas PetanBridgeport (NYI)C8213253810602773194601106.70%8105112.8224619920000453334.70%99700000.7213000023
11Mark GiordanoBridgeport (NYI)D64730371245570489232567.61%101147223.0131013461971232192100%000000.5000001133
12Jan RuttaBridgeport (NYI)D8282735136610944880235210.00%84134216.374482111410117230100.00%100000.5200011032
13Niklas HjalmarssonBridgeport (NYI)D8291928-411401986471235312.68%111165020.12347312290110231000%000000.3401000015
14Jon MerrillBridgeport (NYI)D82818268160285154214314.81%88123815.10101330111111000%000000.4212000111
15Janne KuokkanenNYIslandersLW/RW3591625740366113847796.52%572720.77347271040004981247.29%20300000.6911000112
16TJ OshieBridgeport (NYI)RW421112236300874084208013.10%374117.66145131150000253043.41%12900000.6212000132
17Max JonesBridgeport (NYI)LW/RW82157225460874115230999.87%78049.8100001000001152.46%6100000.5500000220
18Rasmus KupariNYIslandersC/RW416814112032437618537.89%351012.45000010001730052.63%20900100.5500000110
19Jack StudnickaBridgeport (NYI)C/RW8021012-316042417935592.53%34926.16000000001112050.13%39500000.4900000001
20Trevor MooreBridgeport (NYI)LW/RW454610-152017305824546.90%245910.2100000000000050.89%11200000.4400000001
21Tomas JurcoBridgeport (NYI)LW/RW43347-10010133910247.69%12305.36011215000000056.76%3700000.6100000001
22Aleksi HeponiemiBridgeport (NYI)C/LW/RW73527-5001174582811.11%32783.81011080000291047.50%4000000.5000000000
23Dylan CozensNYIslandersC/RW11122001261316.67%02323.5800012011150030.00%3000001.7000000100
24Martin HanzalBridgeport (NYI)C36011-2401119143110%32075.76000040000200059.76%16900000.1000000000
25Brandon HagelNYIslandersLW1011100202020%02121.92000020000400100.00%100000.9100000000
Statistiques d’équipe totales ou en moyenne15422775037801148669015691436309991022018.94%8552467916.0073129202702295561117462432421649.18%751700220.63622249344343
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
1Filip GustavssonBridgeport (NYI)55312130.9222.6633176514718750210.62585518940
2Akira SchmidBridgeport (NYI)2210750.9143.00134220677790010.727112247201
3Keith KinkaidNYIslanders51220.9022.9630400151530000.667359010
Statistiques d’équipe totales ou en moyenne824230100.9182.7749648522928070222282741151


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)G232000-05-12CHEYes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Aleksi HeponiemiBridgeport (NYI)C/LW/RW241999-01-09FINYes155 Lbs5 ft10NoNoProspectNoNo22024-10-08FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Alex VlasicBridgeport (NYI)D222001-06-05USAYes217 Lbs6 ft6NoNoProspectNoNo32024-10-08FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Filip GustavssonBridgeport (NYI)G251998-06-07SWENo184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien NHL
Jack StudnickaBridgeport (NYI)C/RW241999-02-18CANYes187 Lbs6 ft1NoNoProspectNoNo22024-10-08FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Jan RuttaBridgeport (NYI)D321990-07-29CZENo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Jon MerrillBridgeport (NYI)D311992-02-03USANo210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,240,000$0$0$No1,240,000$--------1,240,000$--------No--------Lien / Lien NHL
Marcus FolignoBridgeport (NYI)LW/RW311991-08-10USANo223 Lbs6 ft3NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Marcus JohanssonBridgeport (NYI)C/LW/RW321990-10-06SWENo220 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Mark GiordanoBridgeport (NYI)D391983-10-03CANNo205 Lbs6 ft0NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm1,340,000$0$0$No---------------------------Lien / Lien NHL
Martin HanzalBridgeport (NYI)C361987-02-20CZENo230 Lbs6 ft6NoNoN/AYesYes1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Max JonesBridgeport (NYI)LW/RW251998-02-17USAYes216 Lbs6 ft3NoNoProspectNoNo12024-10-08FalseFalsePro & Farm900,000$0$0$No---------------------------
Michael AndersonBridgeport (NYI)D241999-05-25USAYes195 Lbs6 ft0NoNoProspectNoNo22024-09-20FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Nicolas PetanBridgeport (NYI)C281995-03-22CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------Lien
Niklas HjalmarssonBridgeport (NYI)D361987-06-06CANNo214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------
Ryan McLeodBridgeport (NYI)C/LW/RW231999-09-21CANYes188 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Sam SteelBridgeport (NYI)C/LW/RW251998-02-03CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien NHL
TJ OshieBridgeport (NYI)RW361986-12-23USANo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,320,000$0$0$No---------------------------
Tomas JurcoBridgeport (NYI)LW/RW301992-12-28SLONo194 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Trent FredericBridgeport (NYI)C/LW/RW251998-02-11USAYes220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien NHL
Trevor MooreBridgeport (NYI)LW/RW281995-03-31USANo186 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,075,000$0$0$No---------------------------Lien / Lien NHL
William EklundBridgeport (NYI)C/LW/RW202002-10-12SWEYes181 Lbs5 ft11NoNoProspectNoNo32024-10-08FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.14199 Lbs6 ft21.64984,091$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William EklundRyan McLeodMarcus Johansson35122
2Trent FredericSam SteelMarcus Foligno30122
3Max JonesNicolas PetanTJ Oshie25122
4Trevor MooreJack StudnickaTomas Jurco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoMichael Anderson35122
2Niklas HjalmarssonAlex Vlasic35122
3Jan RuttaJon Merrill30122
4Mark GiordanoMichael Anderson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William EklundRyan McLeodMarcus Johansson50122
2Trent FredericSam SteelMarcus Foligno50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoMichael Anderson50122
2Niklas HjalmarssonAlex Vlasic50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeodMarcus Foligno50122
2Sam SteelWilliam Eklund50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicMichael Anderson50122
2Niklas HjalmarssonMark Giordano50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Marcus Johansson50122Alex VlasicMichael Anderson50122
2Sam Steel50122Niklas HjalmarssonMark Giordano50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeodWilliam Eklund50122
2Sam SteelTrent Frederic50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoMichael Anderson50122
2Niklas HjalmarssonAlex Vlasic50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William EklundSam SteelRyan McLeodAlex VlasicMichael Anderson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marcus FolignoSam SteelRyan McLeodAlex VlasicMichael Anderson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksi Heponiemi, Trent Frederic, Nicolas PetanAleksi Heponiemi, Trent FredericNicolas Petan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Vlasic, Jon Merrill, Niklas HjalmarssonAlex VlasicJon Merrill, Niklas Hjalmarsson
Tirs de pénalité
Marcus Foligno, Ryan McLeod, TJ Oshie, William Eklund, Sam Steel
Gardien
#1 : Filip Gustavsson, #2 :
Lignes d’attaque personnalisées en prolongation
Marcus Foligno, , TJ Oshie, William Eklund, Sam Steel, Marcus Johansson, Trent Frederic, Nicolas Petan, Max Jones, Jack Studnicka
Lignes de défense personnalisées en prolongation
Mark Giordano, Michael Anderson, Niklas Hjalmarsson, Jan Rutta, Alex Vlasic


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
1Abbotsford4100120012120210010006422000020068-260.750122133001018475111469819979835713128308219421.05%14192.86%11565327247.83%1539317948.41%646127150.83%2022138718856251064534
2Bakersfield3020001069-32010001046-21010000023-120.33361016001018475111029819979835711440285612325.00%14285.71%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
3Charlotte40400000916-72020000047-32020000059-400.0009152400101847511127981997983571755277611200.00%30776.67%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
4Cleveland412000011819-121100000108220100001811-330.375182947001018475111329819979835715440487718950.00%21480.95%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
5Coachella Valley3300000014772200000010461100000043161.00014264000101847511118981997983578924146318527.78%70100.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
6Eagles312000008802020000047-31100000041320.333815231010184751110298199798357902644511218.33%11281.82%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
7Grand Rapids5320000015114211000007523210000086260.6001530450010184751117898199798357137376410822313.64%21385.71%11565327247.83%1539317948.41%646127150.83%2022138718856251064534
8Hartford4400000024816220000001111022000000137681.000244266011018475111749819979835710934246525520.00%120100.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
9Hershey402001011016-62020000026-420000101810-220.250101828001018475111439819979835712848419312216.67%13192.31%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
10Iowa30100200710-31000010034-12010010046-220.33371320001018475111209819979835710025186315213.33%9277.78%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
11Laval431000001414021100000810-22200000064260.750142438001018475111429819979835713042327423834.78%16381.25%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
12Lehigh Valley430001002010102100010097222000000113870.875203454001018475111589819979835711636397726830.77%17288.24%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
13Manitoba31101000111012100100010731010000013-240.6671118291010184751112598199798357911730591915.26%14564.29%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
14Ontario32001000835110000001012100100073461.00081422011018475111189819979835794312653700.00%130100.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
15Providence431000001174211000005412200000063360.75011162701101847511146981997983571513957691000.00%21290.48%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
16Rochester42101000191272010100056-122000000146860.750193756001018475111389819979835717241546116425.00%22577.27%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
17Rockford3120000058-32110000024-21010000034-120.3335712001018475111039819979835710926276916318.75%8275.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
18San Diego30300000611-51010000024-22020000047-300.000611170010184751192981997983571374030698112.50%15380.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
19San Jose3110000167-11000000112-12110000055030.5006121800101847511108981997983571222928631300.00%140100.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
20Springfield32100000981211000004401100000054140.667916250010184751198981997983571093431619222.22%10190.00%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
21Syracuse41300000711-42110000034-12020000047-320.2507132001101847511156981997983571323247621317.69%15473.33%11565327247.83%1539317948.41%646127150.83%2022138718856251064534
22Texas310010101495110000005232000101097261.000142438001018475111049819979835710730324110110.00%13192.31%31565327247.83%1539317948.41%646127150.83%2022138718856251064534
23Wilkes-Barre/Scranton421001001486211000007342100010075250.625142842011018475111669819979835711238378015213.33%14285.71%01565327247.83%1539317948.41%646127150.83%2022138718856251064534
Total823530057232672343341171703211123109144118130251214412519940.57326747374025101847511299698199798357280978985815573506518.57%3445284.88%61565327247.83%1539317948.41%646127150.83%2022138718856251064534
_Since Last GM Reset823530057232672343341171703211123109144118130251214412519940.57326747374025101847511299698199798357280978985815573506518.57%3445284.88%61565327247.83%1539317948.41%646127150.83%2022138718856251064534
_Vs Conference452217013021611322922911011007161102313600202907119510.5671612864470410184751116609819979835715164395208271924221.88%2023383.66%21565327247.83%1539317948.41%646127150.83%2022138718856251064534
_Vs Division2010500302866125105400100392514105100202473611250.625861512370210184751177398199798357619196189392962627.08%77988.31%01565327247.83%1539317948.41%646127150.83%2022138718856251064534

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8294W126747374029962809789858155725
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235305723267234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117173211123109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118132512144125
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
3506518.57%3445284.88%6
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
98199798357101847511
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
1565327247.83%1539317948.41%646127150.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2022138718856251064534


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
28Bridgeport2Charlotte5LSommaire du match
314Bridgeport3Grand Rapids1WSommaire du match
524Abbotsford2Bridgeport3WSommaire du match
839Hershey2Bridgeport1LSommaire du match
1259Coachella Valley2Bridgeport4WSommaire du match
1573Hartford0Bridgeport3WSommaire du match
1997Syracuse0Bridgeport2WSommaire du match
21108Bridgeport4Hershey5LXXSommaire du match
23120Grand Rapids4Bridgeport1LSommaire du match
25130Bridgeport1Grand Rapids3LSommaire du match
27137Bridgeport2Providence0WSommaire du match
29149Providence3Bridgeport2LSommaire du match
32166Bridgeport3Laval2WSommaire du match
34172Rockford1Bridgeport2WSommaire du match
36186Bridgeport3Wilkes-Barre/Scranton4LXSommaire du match
37196Rochester2Bridgeport3WXSommaire du match
39209Bridgeport4Cleveland5LXXSommaire du match
42221Grand Rapids1Bridgeport6WSommaire du match
44234Bridgeport2San Jose1WSommaire du match
46245Abbotsford2Bridgeport3WXSommaire du match
49259Bridgeport3Charlotte4LSommaire du match
51270Charlotte3Bridgeport2LSommaire du match
53283Bridgeport4Grand Rapids2WSommaire du match
55292Bridgeport5Lehigh Valley2WSommaire du match
56300Texas2Bridgeport5WSommaire du match
59317Bridgeport6Lehigh Valley1WSommaire du match
60323Rochester4Bridgeport2LSommaire du match
63340Cleveland5Bridgeport4LSommaire du match
65355Bridgeport4Wilkes-Barre/Scranton1WSommaire du match
66362Bridgeport2Bakersfield3LSommaire du match
68370San Jose2Bridgeport1LXXSommaire du match
73391San Diego4Bridgeport2LSommaire du match
78411Cleveland3Bridgeport6WSommaire du match
81433Iowa4Bridgeport3LXSommaire du match
83442Bridgeport3Rockford4LSommaire du match
85448Bridgeport3Ontario2WXSommaire du match
87460Coachella Valley2Bridgeport6WSommaire du match
89471Bridgeport4Coachella Valley3WSommaire du match
91481Bridgeport7Hartford2WSommaire du match
92489Springfield3Bridgeport2LSommaire du match
95506Syracuse4Bridgeport1LSommaire du match
98520Bridgeport8Rochester1WSommaire du match
100530Hershey4Bridgeport1LSommaire du match
102542Bridgeport4Eagles1WSommaire du match
104554Bridgeport6Hartford5WSommaire du match
106559Manitoba5Bridgeport7WSommaire du match
108571Bridgeport6Rochester5WSommaire du match
110577Bridgeport1Manitoba3LSommaire du match
112590Manitoba2Bridgeport3WXSommaire du match
117607Lehigh Valley3Bridgeport6WSommaire du match
119620Bridgeport3Abbotsford4LXSommaire du match
122631Springfield1Bridgeport2WSommaire du match
125645Bridgeport3Abbotsford4LXSommaire du match
127655Rockford3Bridgeport0LSommaire du match
130668Bridgeport3San Jose4LSommaire du match
131680Ontario0Bridgeport1WSommaire du match
133691Bridgeport2Iowa3LSommaire du match
135702Charlotte4Bridgeport2LSommaire du match
139721Bridgeport4Cleveland6LSommaire du match
140729Laval4Bridgeport5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
143743Bridgeport3Laval2WSommaire du match
145752Bakersfield1Bridgeport2WXXSommaire du match
146761Bridgeport2Iowa3LXSommaire du match
148774Bridgeport2Syracuse4LSommaire du match
150782Laval6Bridgeport3LSommaire du match
153800Eagles5Bridgeport4LSommaire du match
155808Bridgeport4Providence3WSommaire du match
156820Bridgeport4Texas3WXSommaire du match
158829Eagles2Bridgeport0LSommaire du match
161844Bridgeport2Syracuse3LSommaire du match
163851Lehigh Valley4Bridgeport3LXSommaire du match
165864Bridgeport4Hershey5LXSommaire du match
167870Bridgeport5Texas4WXXSommaire du match
168878Bakersfield5Bridgeport2LSommaire du match
172898Hartford1Bridgeport8WSommaire du match
174906Bridgeport4Ontario1WSommaire du match
177922Bridgeport2San Diego4LSommaire du match
179928Providence1Bridgeport3WSommaire du match
182943Bridgeport2San Diego3LSommaire du match
184953Wilkes-Barre/Scranton0Bridgeport5WSommaire du match
187967Wilkes-Barre/Scranton3Bridgeport2LSommaire du match
192980Bridgeport5Springfield4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,74830,488
Assistance PCT75.30%74.36%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2250 - 74.99% 131,774$5,402,754$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,729,810$ 2,165,000$ 2,165,000$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,160$ 2,229,743$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 29,201$ 0$




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