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OTHL - Condors 

Condors

GP: 13 | W: 7 | L: 6
GF: 43 | GA: 35 | PP%: 14.81% | PK%: 84.62%
DG: Scott | Morale : 50 | Moyenne d'Équipe : 62
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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
1Nick FolignoXX100.008980828374779078677074782579817750740
2Patrick MarleauXXX100.007344897579739970587172616199997250710
3Adam Johnson (R)XX100.007164876264838862785962625944446550620
4Adam Gaudette (R)X100.007342897765587466666159532550506350610
5Eric Robinson (R)XX100.008345996275616561255055652545456050580
6Ryan Kuffner (R)X100.006342996071584862265055612544445850550
7Ron HainseyX100.007654917278819858255748902585866650740
8Jeremy Lauzon (R)X100.007343956574686658254048772549495950630
9Mitch Reinke (R)X100.007466916666697258255249634744445950600
10Zach Whitecloud (R)X100.007876846276667150254541633944445450590
11Dennis Gilbert (R)X100.007273716173636847253741593944445150560
Rayé
MOYENNE D'ÉQUIPE100.00755789687269766140545567365757625063
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
1Anders Nilsson100.00746161957870597578748158587150710
2Scott Wedgewood100.00586683765664546260593054546050610
3Zane McIntyre100.00577594795159586456563044445950600
Rayé
1Kaden Fulcher (R)100.00435569744044404640403044444450480
MOYENNE D'ÉQUIPE100.0058647781565953625957435050595060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern68707444454658USA431700,000$


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

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# 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
1Nick SchmaltzOilersC/LW/RW135111642042639162312.82%232525.050444440112681064.42%20800010.9800000101
2Luke KuninOilersC/RW137916518023173851818.42%429722.8831411441012482057.14%3500001.0800000112
3Joey AndersonOilersRW13411155407124313289.30%327721.361238410113270043.48%2300001.0800000022
4Dominic ToninatoOilersC135611612013314472511.36%128922.230004421013341064.56%23700010.7600000120
5Adam JohnsonCondors (EDM)C/LW13459640793261612.50%227621.240005450002220166.67%2100000.6500000002
6Eric RobinsonCondors (EDM)LW/RW137294100842761225.93%422517.38303518000051050.00%1600000.8000000110
7Anthony CirelliOilersC6246-120912123916.67%014924.980222250001260153.85%16900000.8000000101
8Anthony BitettoOilersD13156812017574514.29%524218.6902222100013300 0.00%000000.4900000010
9Adam GaudetteCondors (EDM)C1314532016173211223.13%021116.2400007000080058.48%17100000.4700000100
10Ryan GravesOilersD131450180191217575.88%1730223.2400074102205310 0.00%000000.3300000000
11Noah HanifinOilersD6044-480663120.00%315826.4800022300002100 0.00%000000.5000000000
12Ryan KuffnerCondors (EDM)LW71342002516586.25%010615.2800003000180083.33%600000.7500000010
13Jeremy LauzonCondors (EDM)D13134416053134107.69%1228822.1701164200005200 0.00%000000.2800000000
14Jarred TinordiOilersD1304472152383170.00%628421.8702214500005100 0.00%000000.2800100000
15Mitch ReinkeCondors (EDM)D131236408451220.00%721316.440001500001500 0.00%000000.2800000000
16Zach WhitecloudCondors (EDM)D132134155207113518.18%522217.1200023000023100.00%200000.2700010101
17Dennis GilbertCondors (EDM)D7101320019251420.00%011015.81101130000400100.00%100000.1800000000
Stats d'équipe Total ou en Moyenne195437812162168102061803479220312.39%71398320.438142261459246155067260.29%88900020.6100110789
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
1Scott WedgewoodCondors (EDM)127220.8642.417210029214000 0.0000120000
2Elvis MerlikinsOilers10010.9001.364400110000 0.000006000
Stats d'équipe Total ou en Moyenne137230.8662.357650030224000 0.0000126000


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
Adam GaudetteCondors (EDM)C231996-10-02Yes170 Lbs6 ft1NoNoNo3Pro & Farm1,491,666$0$0$No1,491,666$1,491,666$Lien
Adam JohnsonCondors (EDM)C/LW251994-06-22Yes174 Lbs6 ft0YesNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Anders NilssonCondors (EDM)G301990-03-18No232 Lbs6 ft6NoNoNo1Pro & Farm2,750,000$0$0$NoLien
Dennis GilbertCondors (EDM)D231996-10-30Yes198 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Eric RobinsonCondors (EDM)LW/RW241995-06-14Yes201 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien
Jeremy LauzonCondors (EDM)D231997-04-28Yes204 Lbs6 ft1NoNoNo3Pro & Farm871,666$0$0$No871,666$871,666$Lien
Kaden FulcherCondors (EDM)G211998-09-23Yes183 Lbs6 ft3NoNoNo3Pro & Farm716,666$0$0$No716,666$716,666$Lien
Mitch ReinkeCondors (EDM)D241996-02-04Yes181 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Nick FolignoCondors (EDM)C/LW321987-10-30No202 Lbs6 ft0NoNoNo1Pro & Farm5,250,000$0$0$NoLien
Patrick MarleauCondors (EDM)C/LW/RW401979-09-15No215 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$0$0$NoLien
Ron HainseyCondors (EDM)D391981-03-24No205 Lbs6 ft3NoNoNo1Pro & Farm4,000,000$0$0$NoLien
Ryan KuffnerCondors (EDM)LW231996-06-11Yes194 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Scott WedgewoodCondors (EDM)G271992-08-14No195 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Zach WhitecloudCondors (EDM)D231996-11-27Yes209 Lbs6 ft2NoNoNo2Pro & Farm1,491,666$0$0$No1,491,666$Lien
Zane McIntyreCondors (EDM)G271992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1526.93198 Lbs6 ft21.801,713,111$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Patrick MarleauNick FolignoEric Robinson40122
2Ryan KuffnerAdam Johnson30122
3Adam Gaudette20122
4Patrick MarleauNick FolignoAdam Johnson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyJeremy Lauzon40122
2Mitch ReinkeZach Whitecloud30122
3Dennis Gilbert20122
4Ron HainseyJeremy Lauzon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Patrick MarleauNick FolignoEric Robinson60122
2Ryan KuffnerAdam Johnson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyJeremy Lauzon60122
2Mitch ReinkeZach Whitecloud40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick FolignoPatrick Marleau60122
2Adam JohnsonAdam Gaudette40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyJeremy Lauzon60122
2Mitch ReinkeZach Whitecloud40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Foligno60122Ron HainseyJeremy Lauzon60122
2Patrick Marleau40122Mitch ReinkeZach Whitecloud40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick FolignoPatrick Marleau60122
2Adam JohnsonAdam Gaudette40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyJeremy Lauzon60122
2Mitch ReinkeZach Whitecloud40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Patrick MarleauNick FolignoEric RobinsonRon HainseyJeremy Lauzon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Patrick MarleauNick FolignoEric RobinsonRon HainseyJeremy Lauzon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eric Robinson, Ryan Kuffner, Adam GaudetteEric Robinson, Ryan KuffnerAdam Gaudette
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dennis Gilbert, Mitch Reinke, Zach WhitecloudDennis GilbertMitch Reinke, Zach Whitecloud
Tirs de Pénalité
Nick Foligno, Patrick Marleau, Adam Johnson, Adam Gaudette, Eric Robinson
Gardien
#1 : , #2 :


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
1IceHogs734000002221132100000963413000001315-260.42922406200141117116411011211015138327411133412.12%37391.89%124537465.51%18431159.16%10720452.45%3812812838716185
Total1376000004335863300000191547430000024204140.5384378121001411171347110112110152447116820654814.81%781284.62%224537465.51%18431159.16%10720452.45%3812812838716185
3Wolves642000002114731200000109133000000115680.6672138590014111711831101121101510639949521419.05%41978.05%124537465.51%18431159.16%10720452.45%3812812838716185
_Since Last GM Reset1376000004335863300000191547430000024204140.5384378121001411171347110112110152447116820654814.81%781284.62%224537465.51%18431159.16%10720452.45%3812812838716185
_Vs Conference1376000004335863300000191547430000024204140.5384378121001411171347110112110152447116820654814.81%781284.62%224537465.51%18431159.16%10720452.45%3812812838716185

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1314OTL143781213472447116820600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
137600004335
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001915
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
74300002420
Derniers 10 Matchs
WLOTWOTL SOWSOL
421300
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
54814.81%781284.62%2
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
110112110151411171
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
24537465.51%18431159.16%10720452.45%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
3812812838716185


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 - 2019-10-057Wolves5Condors3LSommaire du Match
4 - 2019-10-0715Wolves1Condors5WSommaire du Match
6 - 2019-10-0923Condors2Wolves1WSommaire du Match
8 - 2019-10-1131Condors4Wolves3WSommaire du Match
10 - 2019-10-1339Wolves3Condors2LXSommaire du Match
12 - 2019-10-1547Condors5Wolves1WSommaire du Match
16 - 2019-10-1960Condors2IceHogs3LSommaire du Match
18 - 2019-10-2164Condors3IceHogs4LXSommaire du Match
20 - 2019-10-2368IceHogs2Condors0LSommaire du Match
22 - 2019-10-2572IceHogs1Condors5WSommaire du Match
24 - 2019-10-2776Condors4IceHogs3WXSommaire du Match
26 - 2019-10-2980IceHogs3Condors4WSommaire du Match
28 - 2019-10-3184Condors4IceHogs5LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets700
Assistance9,2865,961
Assistance PCT77.38%99.35%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 2541 - 84.71% 108,337$650,020$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,569,668$ 2,569,668$ 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
201982641202040438123315413250103024557188413270101019366127128438783122102217413512311278195188793628121136186816032965919.93%3483589.94%101818247973.34%1082157968.52%894126670.62%288522851182408878529
Total Saison Régulière82641202040438123315413250103024557188413270101019366127128438783122102217413512311278195188793628121136186816032965919.93%3483589.94%101818247973.34%1082157968.52%894126670.62%288522851182408878529
20191376000004335863300000191547430000024204144378121001411171347110112110152447116820654814.81%781284.62%224537465.51%18431159.16%10720452.45%3812812838716185
Total Séries1376000004335863300000191547430000024204144378121001411171347110112110152447116820654814.81%781284.62%224537465.51%18431159.16%10720452.45%3812812838716185