Heat

GP: 68 | W: 35 | L: 31 | OTL: 2 | P: 72
GF: 223 | GA: 214 | PP%: 18.80% | PK%: 82.80%
DG: Martin Thibault | Morale : 56 | Moyenne d'Équipe : 60
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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
1Nail YakupovXX100.00755576867973797650677272557671167700
2Barclay GoodrowXX100.00835572738075797384666871557777136680
3Andy AndreoffX100.00925558737972736964646466557777173660
4Ty RattieX100.00665581806672787550656761557272174660
5Alan QuineXXX100.00845578757869716668626067557775175650
6Adam ErneXX100.00725570557170706750616266557070172620
7Colin SmithX100.00605565716471736350606261557175170620
8Nick PaulX100.00855573667972726350606161555050172610
9Mike Vecchione (R)X100.00725576726968696050606255555050173600
10Teddy Blueger (R)X100.00715565626864696050606060555050167580
11Bobby ButlerX100.00585567556072695550555555557171176560
12Dominic Toninato (R)X100.00565555555657575564555564557271162560
13Henri IkonenX100.00655571646762745550555556555050175560
14Reid Gardiner (R)X100.00565563616866655550555555555050178550
15Mike ReillyX100.00755581865776588425776377557573174710
16Frank CorradoX100.00635563697170596425606063555455154610
17Andrew Welinski (R)X100.00595559605959655925595959555353158570
18Sena AcolatseX100.00555555605555685525555555555353173550
Rayé
1Mikhail GrigorenkoXX100.00555555555555555550555555557170130540
2Mario Lucia (R)X100.00565555555555555550555555555050136530
3Juho Lammikko (R)X100.00565555555556555550555555555050130530
4Josh HennessyX100.00555555555555555550555555555050132520
5Michael MerschX100.00565555555555555550555555555050120520
MOYENNE D'ÉQUIPE100.0066556565656566624960606155626116060
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
1Scott Wedgewood100.0070886177896986807471557570180750
2Michael McNiven (R)100.0051698679465250564848555055132550
Rayé
MOYENNE D'ÉQUIPE100.006179747868616868616055636315665
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Ramsay55466262967165CAN655100,000$


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'ÉquipePOS GP 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
1Andy AndreoffHeat (Cal)LW683349821814552292663168428110.44%54155422.86920296926002292895158.03%69100031.0602000834
2Alan QuineHeat (Cal)C/LW/RW682848761389151121872126117213.21%63155722.9012162867256202123054365.27%104800100.9802003273
3Colin SmithHeat (Cal)C683132633315521472276614913.66%32145921.471014247426621371785154.57%114900010.8601010268
4Nick PaulHeat (Cal)LW68224062113010201140259861938.49%26128918.96913227127402221685050.57%8700010.9611100424
5Sena AcolatseHeat (Cal)D6810425214182102435978206912.82%78148221.8041115342440225149320.00%000000.7000110312
6Teddy BluegerHeat (Cal)C68183250-151181010673132528213.64%54120217.699132253206000002150.98%20400000.8300020314
7Bobby ButlerHeat (Cal)RW68152944112115839123258812.20%595914.117162343273000003052.63%7600000.9200210232
8Ty RattieHeat (Cal)RW381628441780853114369314.04%174219.555111639200000002153.49%4300011.1800000235
9Mike VecchioneHeat (Cal)C68112940-20118209689141411017.80%33133919.7035859199000010151.98%32900000.6000004013
10Henri IkonenHeat (Cal)LW68182038-6421073981505110112.00%2089313.1300000000112057.69%5200010.8500101340
11Dominic ToninatoHeat (Cal)C55152136111602610195237715.79%868912.5425714380000232062.85%61100001.0400000230
12Mike ReillyHeat (Cal)D28824322340334057133114.04%2567924.2751419421410001107110.00%000000.9400000013
13Reid GardinerHeat (Cal)RW431215273115144380304515.00%468315.8945922159000002355.32%4700000.7900010121
14Josh HennessyHeat (Cal)RW31791611100173248154014.58%639812.8500006000001035.00%2000000.8000000122
15Adam ErneHeat (Cal)LW/RW2954901201382661819.23%435312.201233390000702137.50%1600000.5111000000
16Joe MorrowCalgary FlamesD8145040158219164.76%518322.921121441000028000.00%000000.5500000000
17David SchlemkoCalgary FlamesD11112-2100612103510.00%5999.0810181600003000.00%000000.4000000010
18Juho LammikkoHeat (Cal)LW121010550370314.29%2625.17000000000301100.00%200000.3200100010
19Nail YakupovHeat (Cal)LW/RW3011-1007109780.00%07424.940005170000110033.33%300000.2700000001
20Michael MerschHeat (Cal)C12011155165040.00%0685.74000211000000040.48%4200000.2900001000
21Mario LuciaHeat (Cal)LW260000002146110.00%5963.73000020001770058.18%5500000.0000000000
22Mikhail GrigorenkoHeat (Cal)C/LW3000100021110.00%0268.81000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne91125242968162991115126214302117630157811.90%4301589817.458214622861926554711381421391658.09%447600170.8627669334142
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
1Scott WedgewoodHeat (Cal)2315610.9212.08135902475980111.00042237210
2Robin LehnerCalgary Flames31110.8892.31182007630000.000030010
Stats d'équipe Total ou en Moyenne2616720.9182.10154102546610111.00042537220


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam ErneHeat (Cal)LW/RW211995-04-20No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Alan QuineHeat (Cal)C/LW/RW231993-02-24No196 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew WelinskiHeat (Cal)D231993-04-27Yes196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Andy AndreoffHeat (Cal)LW251991-05-16No207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Barclay GoodrowHeat (Cal)LW/RW231993-02-25No215 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Bobby ButlerHeat (Cal)RW291987-04-25No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
Colin SmithHeat (Cal)C231993-06-20No175 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Dominic ToninatoHeat (Cal)C221994-05-09Yes165 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Frank CorradoHeat (Cal)D231993-03-26No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Henri IkonenHeat (Cal)LW221994-04-17No184 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Josh HennessyHeat (Cal)RW311985-02-07No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
Juho LammikkoHeat (Cal)LW201996-01-29Yes203 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Mario LuciaHeat (Cal)LW231993-08-25Yes201 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Michael McNivenHeat (Cal)G191997-07-09Yes216 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Michael MerschHeat (Cal)C251992-01-10No198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Mike ReillyHeat (Cal)D231993-07-13No156 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Mike VecchioneHeat (Cal)C231993-02-25Yes194 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Mikhail GrigorenkoHeat (Cal)C/LW221994-05-15No209 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$No
Nail YakupovHeat (Cal)LW/RW231993-10-05No197 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Nick PaulHeat (Cal)LW211995-03-20No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Reid GardinerHeat (Cal)RW201996-01-18Yes193 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Scott WedgewoodHeat (Cal)G241992-08-13No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Sena AcolatseHeat (Cal)D261990-11-27No210 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Teddy BluegerHeat (Cal)C221994-08-15Yes185 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Ty RattieHeat (Cal)RW231993-02-04No178 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2523.16194 Lbs6 ft12.36446,600$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffAlan QuineBobby Butler40122
2Nick PaulColin Smith30122
3Henri IkonenMike Vecchione20122
4Teddy BluegerAndy Andreoff10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse40122
2Mike VecchioneTeddy Blueger30122
3Sena Acolatse20122
4Alan QuineColin Smith10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffAlan QuineBobby Butler60122
2Nick PaulColin Smith40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
2Mike VecchioneTeddy Blueger40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffAlan Quine60122
2Colin SmithNick Paul40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andy Andreoff60122Sena Acolatse60122
2Alan Quine4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffAlan Quine60122
2Colin SmithNick Paul40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mike VecchioneBobby ButlerSena Acolatse
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffAlan QuineBobby ButlerSena Acolatse
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Sena Acolatse, Sena Acolatse,
Tirs de Pénalité
Andy Andreoff, Alan Quine, Colin Smith, Nick Paul, Mike Vecchione
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
1Barracuda12210000002145-24615000001325-1261500000820-1240.167213657108470627255654592674273849819521160915.00%801087.50%01138201456.50%1070205452.09%566103354.79%166512061674467761374
2Condors10610111036251153000110151055310100021156170.8503655911084706272746545926742726766152175691826.09%61886.89%11138201456.50%1070205452.09%566103354.79%166512061674467761374
3Eagles808000001537-22404000001019-940400000518-1300.000152641108470627170654592674272416010315542716.67%461273.91%01138201456.50%1070205452.09%566103354.79%166512061674467761374
4Gulls835000001522-741300000610-442200000912-360.375152843018470627169654592674271896311012861711.48%49981.63%11138201456.50%1070205452.09%566103354.79%166512061674467761374
5Moose422000001811722000000143112020000048-440.5001831490084706271466545926742710327429323521.74%16381.25%01138201456.50%1070205452.09%566103354.79%166512061674467761374
6Rampage2010100067-1100010003211010000035-220.5006111700847062756654592674275023322919315.79%10190.00%01138201456.50%1070205452.09%566103354.79%166512061674467761374
7Reign109001000601842540010002762155000000331221201.00060103163028470627461654592674272455712122930826.67%51884.31%31138201456.50%1070205452.09%566103354.79%166512061674467761374
8Roadrunners851010013424104210000116151430010001899130.813346296008470627248654592674272106515716643613.95%58886.21%01138201456.50%1070205452.09%566103354.79%166512061674467761374
9Stars20200000312-91010000017-61010000025-300.0003580084706275265459267427621422485120.00%10640.00%01138201456.50%1070205452.09%566103354.79%166512061674467761374
Total682831061112232149341315031111141077341516030001091072720.529223384607348470627194165459267427188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
11Wild411020001513220101000910-12100100063360.7501527420184706271106545926742713331577115533.33%26580.77%01138201456.50%1070205452.09%566103354.79%166512061674467761374
_Since Last GM Reset682831061112232149341315031111141077341516030001091072720.529223384607348470627194165459267427188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
_Vs Conference26713041107594-191336021103848-101347020003746-9250.48175124199218470627662654592674277531943664781503422.67%1533279.08%11138201456.50%1070205452.09%566103354.79%166512061674467761374
_Vs Division2008000005780-231004000003741-41004000002039-1900.00057100157118470627534654592674275891552563961042120.19%1082775.00%01138201456.50%1070205452.09%566103354.79%166512061674467761374

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6872W222338460719411884504991130534
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6828316111223214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3413153111114107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3415163000109107
Derniers 10 Matchs
WLOTWOTL SOWSOL
342001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3676918.80%4077082.80%5
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
654592674278470627
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
1138201456.50%1070205452.09%566103354.79%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
166512061674467761374


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
3 - 2018-09-078Heat5Condors2WSommaire du Match
4 - 2018-09-0820Reign0Heat5WSommaire du Match
10 - 2018-09-1441Heat8Reign1WSommaire du Match
11 - 2018-09-1556Barracuda4Heat3LSommaire du Match
18 - 2018-09-2292Barracuda3Heat4WSommaire du Match
19 - 2018-09-2399Heat2Barracuda5LSommaire du Match
24 - 2018-09-28117Heat1Gulls0WSommaire du Match
25 - 2018-09-29129Heat5Condors2WSommaire du Match
29 - 2018-10-03138Condors2Heat3WSommaire du Match
32 - 2018-10-06163Rampage2Heat3WXSommaire du Match
34 - 2018-10-08172Heat3Barracuda1WSommaire du Match
38 - 2018-10-12191Reign1Heat6WSommaire du Match
40 - 2018-10-14210Heat4Reign2WSommaire du Match
42 - 2018-10-16213Heat1Eagles5LSommaire du Match
43 - 2018-10-17222Heat2Eagles3LSommaire du Match
45 - 2018-10-19234Roadrunners4Heat6WSommaire du Match
49 - 2018-10-23255Heat5Roadrunners1WSommaire du Match
50 - 2018-10-24262Heat5Roadrunners3WSommaire du Match
52 - 2018-10-26276Heat4Gulls2WSommaire du Match
54 - 2018-10-28297Gulls1Heat0LSommaire du Match
56 - 2018-10-30299Heat1Barracuda3LSommaire du Match
59 - 2018-11-02317Reign2Heat3WSommaire du Match
60 - 2018-11-03329Barracuda4Heat2LSommaire du Match
66 - 2018-11-09361Moose1Heat7WSommaire du Match
67 - 2018-11-10373Moose2Heat7WSommaire du Match
74 - 2018-11-17413Condors3Heat2LXSommaire du Match
78 - 2018-11-21433Condors1Heat2WXXSommaire du Match
80 - 2018-11-23445Heat2Wild0WSommaire du Match
81 - 2018-11-24461Heat4Wild3WXSommaire du Match
87 - 2018-11-30485Heat4Roadrunners3WXSommaire du Match
88 - 2018-12-01497Heat4Roadrunners2WSommaire du Match
90 - 2018-12-03509Barracuda3Heat0LSommaire du Match
94 - 2018-12-07530Roadrunners3Heat8WSommaire du Match
95 - 2018-12-08543Eagles3Heat1LSommaire du Match
99 - 2018-12-12559Gulls1Heat2WSommaire du Match
102 - 2018-12-15585Reign0Heat9WSommaire du Match
103 - 2018-12-16591Heat0Barracuda2LSommaire du Match
106 - 2018-12-19603Heat6Condors5WXSommaire du Match
108 - 2018-12-21615Heat3Condors2WSommaire du Match
109 - 2018-12-22628Stars7Heat1LSommaire du Match
111 - 2018-12-24640Eagles4Heat2LSommaire du Match
114 - 2018-12-27654Heat3Rampage5LSommaire du Match
115 - 2018-12-28664Heat2Stars5LSommaire du Match
122 - 2019-01-04696Barracuda6Heat0LSommaire du Match
123 - 2019-01-05698Heat2Barracuda4LSommaire du Match
129 - 2019-01-11731Heat0Eagles4LSommaire du Match
130 - 2019-01-12746Heat2Eagles6LSommaire du Match
134 - 2019-01-16768Heat2Condors4LSommaire du Match
137 - 2019-01-19791Eagles7Heat4LSommaire du Match
138 - 2019-01-20803Eagles5Heat3LSommaire du Match
141 - 2019-01-23812Heat5Reign3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
145 - 2019-01-27845Barracuda5Heat4LSommaire du Match
150 - 2019-02-01867Gulls4Heat2LSommaire du Match
151 - 2019-02-02879Gulls4Heat2LSommaire du Match
155 - 2019-02-06894Heat3Gulls7LSommaire du Match
157 - 2019-02-08909Condors1Heat3WSommaire du Match
159 - 2019-02-10930Heat0Barracuda5LSommaire du Match
164 - 2019-02-15953Roadrunners6Heat1LSommaire du Match
165 - 2019-02-16965Roadrunners2Heat1LXXSommaire du Match
171 - 2019-02-22992Wild5Heat6WXSommaire du Match
173 - 2019-02-241015Wild5Heat3LSommaire du Match
179 - 2019-03-021052Heat1Gulls3LSommaire du Match
180 - 2019-03-031057Heat9Reign3WSommaire du Match
186 - 2019-03-091084Heat2Moose5LSommaire du Match
187 - 2019-03-101099Heat2Moose3LSommaire du Match
190 - 2019-03-131113Reign3Heat4WXSommaire du Match
192 - 2019-03-151126Heat7Reign3WSommaire du Match
194 - 2019-03-171150Condors3Heat5WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
195,890$ 111,650$ 61,840$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 95,818$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 1,091$ 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
1368283106111223214934131503111114107734151603000109107272223384607348470627194165459267427188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
Total Saison Régulière68283106111223214934131503111114107734151603000109107272223384607348470627194165459267427188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
Séries
12514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
12514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
Total Séries1028000002042-2240400000616-10624000001426-12420365600848023076787602345815618254611.11%741875.68%017631655.70%15227255.88%9615462.34%2161482627912053