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OTHL - Gulls 

Gulls

GP: 5 | W: 1 | L: 4
GF: 12 | GA: 22 | PP%: 12.12% | PK%: 69.57%
DG: Chris C | Morale : 50 | Moyenne d'Équipe : 61
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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
1Warren FoegeleXX100.008144916772639358415664682554546650620
2Trevor Moore (R)X100.006741976661548760256958692546466550610
3Dillon Dube (R)XX100.006341947666567858436356642546466250600
4Nicolas KerdilesXXX100.007572816672585762786160645744446350600
5Zach Senyshyn (R)X100.007671896771778355504758635544446250590
6Morgan KlimchukX100.007068766968656856504760605744446050580
7Emile PoirierXX100.007573806873616354505051644852525850580
8Trent Frederic (R)X100.007787726577547560705055632545455950580
9Caleb Jones (R)X100.007744896771797867256448757556566450670
Rayé
1Kenny AgostinoX100.008867847275648969377459592555556750650
2Martin MarincinX100.007344856680676261255348717562625950640
MOYENNE D'ÉQUIPE100.00755985687163766045585665455050625061
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
1Tristan Jarry100.00737078767571657274707747476250680
2Ian Scott (R)100.00555555555555555555555555555550550
Rayé
MOYENNE D'ÉQUIPE100.0064636766656360646563665151595062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geoff Ward41657355454654CAN571750,000$


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
1Dillon DubeGulls (ANH)C/RW5336020110186616.67%110921.99123525000081062.50%800001.0900000100
2Nicolas KerdilesGulls (ANH)C/LW/RW5246020314175811.76%111422.902138250000110059.23%13000001.0500000010
3Warren FoegeleGulls (ANH)LW/RW5145-160917168106.25%512024.130335250000170046.15%3900000.8300000001
4Morgan KlimchukGulls (ANH)LW5314-41009111582120.00%59619.3700007000050053.85%1300000.8300000000
5Emile PoirierGulls (ANH)LW/RW5134-480131321584.76%69018.060004500002000.00%200000.8900000000
6Trevor MooreGulls (ANH)LW5202-3001131421014.29%310721.571015250001180016.67%600000.3700000000
7Zach SenyshynGulls (ANH)RW5022-300610127120.00%09218.47011828000000025.00%400000.4300000000
8Trent FredericGulls (ANH)C5011-34091516460.00%19919.85011424000080057.26%11700000.2000000000
Stats d'équipe Total ou en Moyenne40121830-183205110312945819.30%2283120.794812391690001721055.17%31900000.7200000111
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

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# 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
1Ian ScottGulls (ANH)51310.8354.042820019115000 0.000055001
Stats d'équipe Total ou en Moyenne51310.8354.042820019115000 0.000055001


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 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
Caleb JonesGulls (ANH)D231997-06-06Yes192 Lbs6 ft1NoNoNo3Pro & Farm815,000$0$0$No815,000$815,000$Lien
Dillon DubeGulls (ANH)C/RW211998-07-19Yes183 Lbs5 ft11NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Emile PoirierGulls (ANH)LW/RW251994-12-14No196 Lbs6 ft2NoNoNo1Pro & Farm863,333$0$0$NoLien
Ian ScottGulls (ANH)G211999-01-11 3:27:56 PMYes168 Lbs6 ft5NoNoNo2Pro & Farm820,000$0$0$No820,000$
Kenny AgostinoGulls (ANH)LW281992-04-30No200 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Martin MarincinGulls (ANH)D281992-02-18No210 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien
Morgan KlimchukGulls (ANH)LW251995-03-01No185 Lbs6 ft0NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien
Nicolas KerdilesGulls (ANH)C/LW/RW261994-01-11No191 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien
Trent FredericGulls (ANH)C221998-02-11Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,137,500$0$0$No1,137,500$1,137,500$Lien
Trevor MooreGulls (ANH)LW251995-03-31Yes170 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien
Tristan JarryGulls (ANH)G251995-04-25No194 Lbs6 ft2NoNoNo1Pro & Farm905,000$0$0$NoLien
Warren FoegeleGulls (ANH)LW/RW241996-04-01No190 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Zach SenyshynGulls (ANH)RW231997-03-30Yes192 Lbs6 ft1NoNoNo3Pro & Farm1,288,000$0$0$No1,288,000$1,288,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1324.31190 Lbs6 ft11.85879,077$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Warren FoegeleNicolas KerdilesDillon Dube40122
2Trevor MooreTrent FredericZach Senyshyn30122
3Morgan KlimchukEmile Poirier20122
4Trevor MooreWarren FoegeleNicolas Kerdiles10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
4Dillon DubeZach Senyshyn10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Warren FoegeleNicolas KerdilesDillon Dube60122
2Trevor MooreTrent FredericZach Senyshyn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Warren FoegeleTrevor Moore60122
2Nicolas KerdilesDillon Dube40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Warren Foegele6012260122
2Trevor Moore4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Warren FoegeleTrevor Moore60122
2Nicolas KerdilesDillon Dube40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Warren FoegeleNicolas KerdilesDillon Dube
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Warren FoegeleNicolas KerdilesDillon Dube
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Morgan Klimchuk, Emile Poirier, Trent FredericMorgan Klimchuk, Emile PoirierTrent Frederic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Warren Foegele, Trevor Moore, Nicolas Kerdiles, Dillon Dube, Zach Senyshyn
Gardien
#1 : , #2 : Ian Scott


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
1 Americans514000001222-102110000044030300000818-1020.2001219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129
Total514000001222-102110000044030300000818-1020.2001219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129
_Since Last GM Reset514000001222-102110000044030300000818-1020.2001219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129
_Vs Conference514000001222-102110000044030300000818-1020.2001219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L112193113113026527600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000044
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000818
Derniers 10 Matchs
WLOTWOTL SOWSOL
031100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33412.12%23769.57%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
543631107221
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
7515548.39%7516445.73%388942.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11682142396129


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
2 - 2019-10-058Gulls5 Americans6LXSommaire du Match
4 - 2019-10-0716Gulls0 Americans5LSommaire du Match
6 - 2019-10-0924 Americans2Gulls1LSommaire du Match
8 - 2019-10-1132 Americans2Gulls3WXSommaire du Match
10 - 2019-10-1340Gulls3 Americans7LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets350
Assistance4,0001,960
Assistance PCT100.00%98.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2980 - 99.33% 70,000$140,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,142,799$ 1,142,799$ 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
201982561804211455215240412990120023510612941279030112201091111124557621217182121371015338611241116113027213959145814962544216.54%2043980.88%41327235956.25%1034220646.87%750137054.74%229318101799469854441
Total Saison Régulière82561804211455215240412990120023510612941279030112201091111124557621217182121371015338611241116113027213959145814962544216.54%2043980.88%41327235956.25%1034220646.87%750137054.74%229318101799469854441
2019514000001222-102110000044030300000818-1021219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129
Total Séries514000001222-102110000044030300000818-1021219310072211315436311013026527633412.12%23769.57%07515548.39%7516445.73%388942.70%11682142396129