BRIDGEPORT Sound Tigers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Carl Frenette | Morale : 99 | Moyenne d'Équipe : 67
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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 SPÂgeContratSalaire
1Joakim Nordstrom0X100.008146876676788163796162786375685399710285900,000$
2Colton Sceviour0XX100.0080428762727883617663608261797147997103121,200,000$
3Logan Brown0XX100.007149856596808263786662676563628599710221750,000$
4Dominik Kahun0X100.005238887267808671697367647269674298710252750,000$
5Tanner Kero0XX100.005646886370868761746258636175685799680285750,000$
6Michael Dal Colle0X100.007542896384757764536160626567648699680244850,000$
7Jason Robertson (R)0X100.006646906685797463566161646361627699680213750,000$
8Gemel Smith0XX100.005945876372787762696061596371665999660263750,000$
9Noah Gregor (R)0X100.006841886471736662706159636463626599650223750,000$
10Andrej Sekera0X100.0060408764738377633069557848847435997003441,500,000$
11Korbinian Holzer0X100.008245806186847359306053784780723799700324850,000$
12Dylan McIlrath0X100.007557776096807259305756665375687199680285750,000$
13Jake Walman (R)0X100.005743886071787559305857615367646399640243750,000$
Rayé
1Sven Baertschi0X100.0058428863707972645965616264756871996702712,000,000$
2Kevin Connauton0X100.0073468560818677593064587054786851997003061,375,000$
3Joey Keane (R)0X100.005948856472898763306255565261646399670213800,000$
4Ryan Sproul0X100.006089696787505067305146505652516799570271750,000$
MOYENNE D'ÉQUIPE100.00674785647879766353625866597066609968
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
1Stuart Skinner (R)100.00747371887372747372747363676599670
Rayé
1Dylan Wells100.00615957786059616059616063675999570
MOYENNE D'ÉQUIPE100.0068666483676668676668676367629962
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner80757875767672CAN509500,000$


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Andrej SekeraBRIDGEPORT Sound Tigers (ISL)D346/8/1986No89 Kg183 CMNoNoNo4Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien
Colton SceviourBRIDGEPORT Sound Tigers (ISL)C/RW314/20/1989No86 Kg183 CMNoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Lien
Dominik KahunBRIDGEPORT Sound Tigers (ISL)C257/2/1995No80 Kg180 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Dylan McIlrathBRIDGEPORT Sound Tigers (ISL)D284/20/1992No105 Kg196 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Dylan WellsBRIDGEPORT Sound Tigers (ISL)G221/3/1998No86 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Gemel SmithBRIDGEPORT Sound Tigers (ISL)C/LW264/16/1994No89 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jake WalmanBRIDGEPORT Sound Tigers (ISL)D242/20/1996Yes77 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Jason RobertsonBRIDGEPORT Sound Tigers (ISL)RW217/22/1999Yes95 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Joakim NordstromBRIDGEPORT Sound Tigers (ISL)LW282/25/1992No88 Kg185 CMNoNoNo5Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$900,000$Lien
Joey KeaneBRIDGEPORT Sound Tigers (ISL)D217/2/1999Yes85 Kg183 CMNoNoNo3Pro & Farm800,000$800,000$750,000$750,000$0$0$No800,000$800,000$
Kevin ConnautonBRIDGEPORT Sound Tigers (ISL)D302/23/1990No93 Kg188 CMNoNoNo6Pro & Farm1,375,000$1,375,000$750,000$750,000$0$0$No1,375,000$1,375,000$1,375,000$1,375,000$1,375,000$Lien
Korbinian HolzerBRIDGEPORT Sound Tigers (ISL)D322/16/1988No97 Kg191 CMNoNoNo4Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Logan BrownBRIDGEPORT Sound Tigers (ISL)C/LW223/5/1998No100 Kg198 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Michael Dal ColleBRIDGEPORT Sound Tigers (ISL)LW246/20/1996No93 Kg191 CMNoNoNo4Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Noah GregorBRIDGEPORT Sound Tigers (ISL)C227/28/1998Yes84 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Ryan SproulBRIDGEPORT Sound Tigers (ISL)D271/13/1993No93 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Stuart SkinnerBRIDGEPORT Sound Tigers (ISL)G2111/1/1998Yes94 Kg193 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Sven BaertschiBRIDGEPORT Sound Tigers (ISL)RW2710/5/1992No86 Kg180 CMNoNoNo1Pro & Farm2,000,000$2,000,000$750,000$750,000$0$0$NoLien
Tanner KeroBRIDGEPORT Sound Tigers (ISL)C/RW287/24/1992No82 Kg183 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1925.9590 Kg188 CM3.26932,895$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Logan BrownColton Sceviour35023
2Joakim NordstromNoah Gregor30023
3Jason RobertsonTanner KeroMichael Dal Colle25122
4Michael Dal ColleGemel SmithColton Sceviour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej Sekera44032
2Dylan McIlrath36131
3Jake WalmanAndrej Sekera20131
4Dylan McIlrath0131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Logan Brown55014
2Michael Dal ColleColton SceviourJason Robertson45104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej Sekera55014
2Dylan McIlrath45014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colton SceviourJoakim Nordstrom55131
2Logan BrownMichael Dal Colle45140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej Sekera55140
2Dylan McIlrath45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colton Sceviour55140Andrej Sekera55140
2Logan Brown45140Dylan McIlrath45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colton SceviourJoakim Nordstrom55122
2Logan BrownMichael Dal Colle45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej Sekera55122
2Dylan McIlrath45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joakim NordstromLogan BrownColton SceviourAndrej Sekera
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joakim NordstromColton SceviourAndrej Sekera
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Michael Dal Colle, Jason Robertson, Michael Dal Colle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan McIlrath, , Jake WalmanDylan McIlrathDylan McIlrath,
Tirs de Pénalité
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero,
Gardien
#1 : Stuart Skinner, #2 :
Lignes d'Attaque Perso. en Prol.
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero, , Michael Dal Colle, Michael Dal Colle, Jason Robertson, , Gemel Smith, Noah Gregor
Lignes de Défense Perso. en Prol.
Andrej Sekera, , Dylan McIlrath, , Jake Walman


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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,772,500$ 1,580,000$ 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
3480461602862227154734025501630123744940211101232104802411822741063701380617813253585677885874200451664914182294620.09%3053488.85%51608269359.71%1330243354.67%671113459.17%2128151717135601018525
3480461602862227154734025501630123744940211101232104802411822741063701380617813253585677885874200451664914182294620.09%3053488.85%51608269359.71%1330243354.67%671113459.17%2128151717135601018525
Total Saison Régulière16092320416124454308146805010021260246148988042220246420816048236454820127402616012215626507017121556171614840081032129828364589220.09%6106888.85%103216538659.71%2660486654.67%1342226859.17%425730343426112020361050
Séries
3412570000027270743000001914551400000813-510274976121386035410612111710301949019438615.79%43490.70%121841352.78%19237651.06%10218455.43%3162222889215880
Total Séries12570000027270743000001914551400000813-510274976121386035410612111710301949019438615.79%43490.70%121841352.78%19237651.06%10218455.43%3162222889215880