Bridgeport Sound Tigers

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Massimo Boccanfuso | Morale : 1 | Moyenne d'Équipe : 57
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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 SP
1Brendan LeipsicXX100.007342887165667772506858572559596556620
2Par Lindholm (R)XX100.007343905967597460735955862551516562610
3Nicholas Caamano (R)X100.007272717072758459505758675347474874610
4Justin DowlingX100.007543997066638669735958642547476361610
5Michael BuntingX100.006670576370757864506065606244446465600
6Michael SpacekX100.007367876767818857715951624844446180590
7Ryan LombergX100.007071666771747958505458615544446073580
8Justin ScottXX100.007372746272788554684757615445456070570
9Steven Lorentz (R)X100.007777766177616451645048624644445568550
10Mathieu Olivier (R)X100.007076566476707649504746584444445371540
11Joona Koppanen (R)XX100.008073956973616645563846624444445332530
12Dylan SadowyX100.007268816668525545503846604451515119510
13Evan McEnenyX100.007775816875565657255048664651515827590
14Jacob MiddletonX100.007376676076748051254342624049495467580
15Joni Tuulola (R)X100.007670896770677348253941613944445351570
16Patrick SieloffX100.007175626675697646253739583744445070560
17Andrew O'Brien (R)X100.006778416278474844252843584155554863530
Rayé
1Kerby RychelX100.007977856777808464505866686348486720630
2Ty RattieX100.007643977067597665346258562555556320590
3Filip SandbergXX100.007467916267525160756451654851516020570
MOYENNE D'ÉQUIPE100.00736778667166735649515263434848585358
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 SP
1Josef Korenar (R)100.00606278706066576564633044446245600
2C.J. Motte100.00505265634849555851523044445257520
Rayé
1Harri Sateri100.00536885764954525950503045455420550
2Colton Phinney (R)100.00414759654042404540403044444221450
MOYENNE D'ÉQUIPE100.0051577269495351575151304444533653
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tom Barrasso62407063667062USA53260,000$


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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew O'BrienBridgeport Sound Tigers (NYI)D251992-11-21Yes208 Lbs6 ft4NoNoNo1Pro & Farm250,000$0$0$NoLien
Brendan LeipsicBridgeport Sound Tigers (NYI)C/LW241994-05-19No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
C.J. MotteBridgeport Sound Tigers (NYI)G261991-12-10No175 Lbs6 ft0YesNoNo1Pro & Farm600,000$0$0$NoLien
Colton PhinneyBridgeport Sound Tigers (NYI)G251993-06-17Yes174 Lbs6 ft1YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Dylan SadowyBridgeport Sound Tigers (NYI)LW221996-04-02No180 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien
Evan McEnenyBridgeport Sound Tigers (NYI)D241994-05-22No203 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien
Filip SandbergBridgeport Sound Tigers (NYI)C/RW231994-07-23No190 Lbs5 ft9NoNoNo0Pro & Farm0$0$NoLien
Harri SateriBridgeport Sound Tigers (NYI)G281989-12-29No205 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Jacob MiddletonBridgeport Sound Tigers (NYI)D221996-01-01No200 Lbs6 ft3NoNoNo1Pro & Farm735,000$0$0$NoLien
Joni TuulolaBridgeport Sound Tigers (NYI)D221996-01-01Yes181 Lbs6 ft3NoNoNo2Pro & Farm767,500$0$0$No767,500$Lien
Joona KoppanenBridgeport Sound Tigers (NYI)C/LW201998-02-25Yes192 Lbs6 ft3NoNoNo3Pro & Farm753,333$0$0$No753,333$753,333$Lien
Josef KorenarBridgeport Sound Tigers (NYI)G201998-01-31Yes185 Lbs6 ft1NoNoNo3Pro & Farm723,333$0$0$No723,333$723,333$Lien
Justin DowlingBridgeport Sound Tigers (NYI)C271990-10-01No185 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Justin ScottBridgeport Sound Tigers (NYI)C/RW221995-08-13No198 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Kerby RychelBridgeport Sound Tigers (NYI)LW231994-10-07No213 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Mathieu OlivierBridgeport Sound Tigers (NYI)RW211997-02-11Yes209 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$NoLien
Michael BuntingBridgeport Sound Tigers (NYI)LW221995-09-17No197 Lbs5 ft11NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien
Michael SpacekBridgeport Sound Tigers (NYI)C211997-04-09No187 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Nicholas CaamanoBridgeport Sound Tigers (NYI)RW191998-10-07Yes194 Lbs6 ft2NoNoNo3Pro & Farm738,333$0$0$No738,333$738,333$Lien
Par LindholmBridgeport Sound Tigers (NYI)C/LW261991-10-04Yes187 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Patrick SieloffBridgeport Sound Tigers (NYI)D241994-05-14No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan LombergBridgeport Sound Tigers (NYI)LW231994-12-09No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Steven LorentzBridgeport Sound Tigers (NYI)C221996-04-12Yes201 Lbs6 ft4NoNoNo2Pro & Farm728,333$0$0$No728,333$Lien
Ty RattieBridgeport Sound Tigers (NYI)RW251993-02-05No184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.17193 Lbs6 ft11.38573,264$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Par LindholmBrendan LeipsicNicholas Caamano40122
2Michael BuntingJustin DowlingJustin Scott30122
3Ryan LombergMichael SpacekMathieu Olivier20122
4Joona KoppanenSteven LorentzBrendan Leipsic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Evan McEnenyJacob Middleton40122
2Joni TuulolaPatrick Sieloff30122
3Andrew O'BrienEvan McEneny20122
4Jacob MiddletonJoni Tuulola10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Par LindholmBrendan LeipsicNicholas Caamano60122
2Michael BuntingJustin DowlingJustin Scott40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brendan LeipsicNicholas Caamano60122
2Justin DowlingPar Lindholm40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brendan Leipsic60122Evan McEnenyJacob Middleton60122
2Nicholas Caamano40122Joni TuulolaPatrick Sieloff40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brendan LeipsicNicholas Caamano60122
2Justin DowlingPar Lindholm40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Par LindholmBrendan LeipsicNicholas CaamanoEvan McEnenyJacob Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Par LindholmBrendan LeipsicNicholas CaamanoEvan McEnenyJacob Middleton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Sadowy, Michael Spacek, Ryan LombergDylan Sadowy, Michael SpacekRyan Lomberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew O'Brien, Patrick Sieloff, Evan McEnenyAndrew O'BrienPatrick Sieloff, Evan McEneny
Tirs de Pénalité
Brendan Leipsic, Nicholas Caamano, Justin Dowling, Par Lindholm, Michael Bunting
Gardien
#1 : Josef Korenar, #2 : C.J. Motte


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,375,832$ 1,375,832$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
201682323605414343364-2141171804101182184-241151801313161180-196434355890132631301449262663492910295430271057193415442169142.13%2187764.68%8862168951.04%941192248.96%749146251.23%152275417858091650813
201782244602622343456-11341132202301166222-5641112400321177234-5748343590933107911814293168100610551077442915991167316452339139.06%2548566.54%2871187946.35%717166343.11%725159445.48%168196417588011517688
201882303605416405432-2741171803003207207041131802413198225-2760405671107612861651488313092811501025522852947139213002228739.19%2299558.52%6948183651.63%819162550.40%844161252.36%169496517077861562748
201982333704233402423-2141201603101206201541132101132196222-26664026451047118116015411297088010671008333069992181120212068842.72%2438166.67%12736163245.10%722164843.81%699159343.88%168792417147661550754
Total Saison Régulière3281191550161671514931675-1821646774012506761814-531645281041179732861-1292381493246439576530957358837118943448420141391831186339876810651087735740.71%94433864.19%283417703648.56%3199685846.65%3017626148.19%658636096966316462803005