Heat

GP: 82 | W: 31 | L: 42 | OTL: 9 | P: 71
GF: 259 | GA: 318 | PP%: 20.90% | PK%: 79.38%
DG: Martin Bétit | Morale : 50 | Moyenne d'Équipe : 45
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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
1Anton SlepyshevXX100.00593590637762535344485866484338050570
2Tyler Motte (R)XXX100.00683589756159474941425665483734050550
3Andreas Johnsson (R)X100.00513595775453354150384456483532050490
4Hudson FaschingX100.00523586637155353735383557484036050480
5Sergey TolchinskyXX100.00493594774853333535363365443734050480
6Nicolas Kerdiles (R)XX100.00523595656948353550353552483835050460
7Cristoval Nieves (R)XX100.00463594647649333335333354473532050450
8Jonathan Dahlen (R)XX100.00454545455545454545454545453230050450
9Riley Barber (R)X100.00473594706546333335333353473532050450
10Ryan MacInnis (R)X100.00414545455839394145414145433230050430
11Aapeli Rasanen (R)X100.00373737376737373737373737373230050400
12Dalton ProutX100.00566154607858374335473966484945050550
13Rasmus Andersson (R)X100.00523585677060353135303265483734050520
14Andrey PedanX100.00665063647141322935283064463532050500
15Erik Cernak (R)X100.00434545457442424345434345443230050450
16Ville Pokka (R)X100.00414545456739394145414145433230050440
17Jacob Moverare (R)X100.00404040406540404040404040403230050420
18Luc Snuggerud (R)X100.00333737375533333337333337353230050380
Rayé
1Cristoval Nieves (R)X100.00533584697451385259584668483532050550
2Max FribergXX100.00463583696846313235323263463532050460
3Eric Cornel (R)XX100.00414545455939394145414145433230050430
4Theodor Blueger (R)XX100.00414545455139394145414145433230050430
5Matej Stransky (R)X100.00333737376733333337333337353230050380
6Nikolay Prokhorkin (R)X100.00333737376433333337333337353230050370
7Olli JokinenX100.00202020202020202020202020202020050240
8John RamageX100.00513593646550312935283071463532050510
9Anthony Florentino (R)X100.00333737377633333337333337353230050390
10Ryan Pilon (R)X100.00353737376835353537353537363230050390
MOYENNE D'ÉQUIPE100.0045396354644436374037385143343205045
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
1Andrey Makarov100.0042455164424346413956553532050450
Rayé
1Colton Point (R)100.0037373784373737373737373230050420
2Ilya Sorokin (R)100.0041434160403939393939383230050410
MOYENNE D'ÉQUIPE100.004042436940404139384443333105043
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Tyler MotteHeat (Cal)C/LW/RW7944499315861021620234810824012.64%31167421.20815235920810192605045.36%190900201.112100029710
2Dalton ProutHeat (Cal)D82165066-1913935183102137499011.68%122167720.46112031832250331213110.00%000000.7911223035
3Nicolas KerdilesHeat (Cal)C/LW82213657-38575117218215511929.77%35145117.70414182513820221161154.53%141400000.7903010423
4Anton SlepyshevHeat (Cal)LW/RW373319521416056822206615015.00%2183822.6676133611521381153543.45%33600001.2417000474
5Sergey TolchinskyHeat (Cal)LW/RW82193352-2430068186221561378.60%48145217.72511164321900031482041.24%19400010.7214000314
6Hudson FaschingHeat (Cal)RW82143145102557461123346811.38%20157019.1546102021901142232046.97%13200000.5728100041
7Riley BarberHeat (Cal)RW82152540-4024074121231661336.49%26123415.0524614340001132047.06%11900000.6500000321
8Julius HonkaCalgaryD4152328-1122019356819437.35%4879819.48581338970001122000.00%000000.7000000001
9Rasmus AnderssonHeat (Cal)D6442327-926063538720604.60%98130020.3238114319500031641050.00%1000000.4200000013
10Erik CernakHeat (Cal)D82818261072201064547163717.02%44112813.774041010900021361038.89%1800000.4600112201
11Brett KulakCalgaryD32131225-3415686195276313.68%6162719.61821053100011088100.00%000000.8000010223
12Andreas JohnssonHeat (Cal)LW64111021-2120255911333639.73%1264910.151126410001223233.90%5900000.6500000011
13Cristoval NievesHeat (Cal)C1741418-28028484916408.16%533019.4524610610000231059.94%35700001.0902000012
14Max FribergHeat (Cal)LW/RW179918-314014203582225.71%230618.06347861000021044.00%2500001.1700000110
15Andrey PedanHeat (Cal)D824913-259020160604919328.16%88130315.90235151160003125010.00%000000.2000022001
16Ville PokkaHeat (Cal)D37391202006671711717.65%3573019.751344100000279000.00%000000.3300000000
17Cristoval NievesHeat (Cal)C/LW374711-286026485723507.02%951713.9900000011070043.33%3000000.4300000000
18Jacob MoverareHeat (Cal)D37279-22280528123616.67%3063617.20123446000039000.00%000000.2800000100
19John RamageHeat (Cal)D45369-182014403310179.09%3351411.4300051500009000.00%000000.3500000000
20Luc SnuggerudHeat (Cal)D37347-2314041850160.00%2063317.12101129101156100.00%000000.2200000000
21Ryan MacInnisHeat (Cal)C373471801392372213.04%51654.480337370003220141.46%4100000.8400000011
22Jonathan DahlenHeat (Cal)C/LW3712301610201312358.33%11453.9200000000031046.01%16300000.4100011000
23Olli JokinenHeat (Cal)C31022-170018260020.00%033910.96000012000050018.40%32600000.1200000000
24Aapeli RasanenHeat (Cal)C37011080514120.00%3882.390000150000100044.44%900000.2300000000
Stats d'équipe Total ou en Moyenne1260239403642-234764110152615132201646148210.86%7972011715.977211418648422056713442013261146.81%514200210.647354810293341
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
1MacKenzie BlackwoodCalgary52172760.8814.0428252119015940300.76025520211
2Andrey MakarovHeat (Cal)39131530.8863.6519380211810310200.692133082320
Stats d'équipe Total ou en Moyenne91304290.8833.8847642330826250500.737388282531


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
Aapeli RasanenHeat (Cal)C191998-06-01Yes196 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Andreas JohnssonHeat (Cal)LW221994-11-21Yes180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Andrey MakarovHeat (Cal)G241993-04-20No178 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm580,000$58,000$0$NoLien
Andrey PedanHeat (Cal)D241993-07-03No213 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm792,000$79,200$0$NoLien
Anthony FlorentinoHeat (Cal)D221995-01-30Yes227 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Anton SlepyshevHeat (Cal)LW/RW231994-05-13No221 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Colton PointHeat (Cal)G191998-03-07Yes219 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Cristoval NievesHeat (Cal)C231994-01-23Yes219 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm767,500$76,750$0$NoLien
Cristoval NievesHeat (Cal)C/LW231994-01-23Yes219 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Dalton ProutHeat (Cal)D271990-03-13No230 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,100,000$110,000$0$NoLien
Eric CornelHeat (Cal)C/RW211996-04-11Yes186 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Erik CernakHeat (Cal)D201997-05-28Yes221 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Hudson FaschingHeat (Cal)RW221995-07-28No204 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Ilya SorokinHeat (Cal)G221995-08-04Yes167 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Jacob MoverareHeat (Cal)D191998-08-31Yes198 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm720,000$72,000$0$NoLien
John RamageHeat (Cal)D261991-02-07No200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm690,000$69,000$0$NoLien
Jonathan DahlenHeat (Cal)C/LW191997-12-20Yes180 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Luc SnuggerudHeat (Cal)D221995-09-18Yes180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Matej StranskyHeat (Cal)RW241993-07-11Yes193 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm575,000$57,500$0$NoLien
Max FribergHeat (Cal)LW/RW241992-11-20No200 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Nicolas KerdilesHeat (Cal)C/LW231994-01-11Yes200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Nikolay ProkhorkinHeat (Cal)LW241993-09-17Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Olli Jokinen (Contrat à 1 Volet)Heat (Cal)C381978-12-05No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,600,000$1,600,000$0$NoLien
Rasmus AnderssonHeat (Cal)D201996-10-27Yes214 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm743,000$74,300$0$NoLien
Riley BarberHeat (Cal)RW231994-02-07Yes193 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Ryan MacInnisHeat (Cal)C211996-02-14Yes183 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm718,000$71,800$0$NoLien
Ryan PilonHeat (Cal)D201996-10-10Yes206 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Sergey TolchinskyHeat (Cal)LW/RW221995-02-03No170 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Theodor BluegerHeat (Cal)C/LW231994-08-15Yes171 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Tyler MotteHeat (Cal)C/LW/RW221995-03-10Yes191 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Ville PokkaHeat (Cal)D231994-03-06Yes205 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3122.71199 Lbs6 ft12.26756,274$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevTyler MotteHudson Fasching40122
2Sergey Tolchinsky30122
3Cristoval NievesNicolas KerdilesRiley Barber20122
4Anton SlepyshevJonathan DahlenTyler Motte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton ProutAndrey Pedan40122
2Erik CernakVille Pokka30122
3Jacob MoverareLuc Snuggerud20122
4Dalton ProutAndrey Pedan10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevTyler MotteHudson Fasching60122
2Sergey Tolchinsky40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton ProutAndrey Pedan60122
2Erik CernakVille Pokka40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevTyler Motte60122
2Hudson Fasching40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton ProutAndrey Pedan60122
2Erik CernakVille Pokka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Slepyshev60122Dalton ProutAndrey Pedan60122
2Tyler Motte40122Erik CernakVille Pokka40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevTyler Motte60122
2Hudson Fasching40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton ProutAndrey Pedan60122
2Erik CernakVille Pokka40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevTyler MotteHudson FaschingDalton ProutAndrey Pedan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevTyler MotteHudson FaschingDalton ProutAndrey Pedan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan MacInnis, Aapeli Rasanen, Nicolas KerdilesRyan MacInnis, Aapeli RasanenNicolas Kerdiles
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Moverare, Luc Snuggerud, Erik CernakJacob MoverareLuc Snuggerud, Erik Cernak
Tirs de Pénalité
Anton Slepyshev, Tyler Motte, , Hudson Fasching, Sergey Tolchinsky
Gardien
#1 : , #2 : Andrey Makarov


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
1Admirals4120001013103211000007432010001066040.500132235001048465101027687517486811428309823626.09%15193.33%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
2Baby Hawks3020100058-31010000002-22010100056-120.33351015001048465106376875174868114364669700.00%18477.78%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
3Bears21100000330110000003121010000002-220.500358001048465104976875174868431715301317.69%50100.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
4Bruins2010010068-21010000034-11000010034-110.25061117001048465106176875174868632116416233.33%8450.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
5Cabaret Lady Mary Ann21000100981110000004221000010056-130.750914230010484651083768751748686119125710330.00%6266.67%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
6Caroline211000001073110000007341010000034-120.5001015250010484651054768751748684510233114214.29%9188.89%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
7Chiefs31200000814-61100000064220200000210-820.3338152300104846510827687517486810037187314214.29%8187.50%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
8Chill30300000614-82020000058-31010000016-500.00061218001048465105976875174868983042501200.00%20480.00%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
9Comets521001012627-1210000011192311001001518-360.6002645710010484651014976875174868177469010117741.18%32875.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
10Cougars21100000810-2110000005411010000036-320.50081321001048465105576875174868821920465240.00%10460.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
11Crunch22000000624110000003121100000031241.00061016001048465107576875174868321984112216.67%40100.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
12Jayhawks411000111319-62100000166020100010713-650.625131932001048465101027687517486814738469010220.00%23865.22%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
13Las Vegas42200000510-52110000036-32110000024-240.500591401104846510101768751748681083726661317.69%12283.33%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
14Manchots2020000058-31010000023-11010000035-200.0005101500104846510497687517486838912419111.11%6183.33%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
15Marlies20100001812-41010000036-31000000156-110.25081321001048465105376875174868782612569111.11%6266.67%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
16Minnesota30300000917-820200000612-61010000035-200.0009162500104846510797687517486810730497310330.00%21576.19%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
17Monarchs42200000141132200000010552020000046-240.500142337001048465101357687517486813740307414321.43%14285.71%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
18Monsters2010001067-11010000013-21000001054120.50068140010484651050768751748686322533612216.67%12191.67%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
19Monsters312000001417-32110000011921010000038-520.33314243800104846510727687517486810830214111436.36%8275.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
20Oceanics301000021217-51000000145-120100001812-420.33312233500104846510717687517486813744735915426.67%22290.91%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
21Oil Kings40300010914-5201000106602020000038-520.25091221001048465101367687517486810015297820315.00%12375.00%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
22Phantoms2110000049-5110000004311010000006-620.5004812001048465104676875174868621415396116.67%5260.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
23Rocket22000000826110000004041100000042241.000814220110484651073768751748684212424815426.67%80100.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
24Senators21000010844110000004131000001043141.00081220001048465105576875174868522116362150.00%80100.00%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
25Sharks413000001121-1020200000312-92110000089-120.250111728001048465101197687517486823252341121000.00%16475.00%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
26Sound Tigers20200000410-61010000036-31010000014-300.0004711001048465104276875174868691818453266.67%9455.56%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
27Spiders2010000169-31010000024-21000000145-110.25069150010484651054768751748689826144311436.36%7185.71%11121236047.50%1156258544.72%618139344.36%1893127219996381087527
28Stars330000001257220000009541100000030361.0001223350110484651098768751748687222276012325.00%11190.91%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
29Thunder2020000038-51010000004-41010000034-100.000369001048465103776875174868773129501119.09%12283.33%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
Total82254201356259318-594119180001314013914162401343119179-60710.43325944069903104846510229376875174868273579288717233357020.90%3547379.38%61121236047.50%1156258544.72%618139344.36%1893127219996381087527
31Wolf Pack21100000871110000005141010000036-320.50081523001048465108976875174868792321399333.33%7271.43%01121236047.50%1156258544.72%618139344.36%1893127219996381087527
_Since Last GM Reset82254201356259318-594119180001314013914162401343119179-60710.43325944069903104846510229376875174868273579288717233357020.90%3547379.38%61121236047.50%1156258544.72%618139344.36%1893127219996381087527
_Vs Conference42171801222142160-18211260001281691221512012106191-30440.5241422393810310484651012227687517486812953704578741703822.35%1824177.47%21121236047.50%1156258544.72%618139344.36%1893127219996381087527

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8271W225944069922932735792887172303
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8225421356259318
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119180013140139
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
416241343119179
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3357020.90%3547379.38%6
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
76875174868104846510
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
1121236047.50%1156258544.72%618139344.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1893127219996381087527


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
1 - 2018-10-033Heat4Comets5LXSommaire du Match
4 - 2018-10-0628Comets4Heat7WSommaire du Match
7 - 2018-10-0939Heat1Chill6LSommaire du Match
9 - 2018-10-1154Heat2Chiefs6LSommaire du Match
11 - 2018-10-1370Heat3Monsters8LSommaire du Match
15 - 2018-10-1788Bruins4Heat3LSommaire du Match
17 - 2018-10-19101Chill3Heat2LSommaire du Match
19 - 2018-10-21116Heat3Wolf Pack6LSommaire du Match
21 - 2018-10-23124Heat4Rocket2WSommaire du Match
23 - 2018-10-25141Manchots3Heat2LSommaire du Match
25 - 2018-10-27151Bears1Heat3WSommaire du Match
27 - 2018-10-29165Heat5Marlies6LXXSommaire du Match
28 - 2018-10-30167Heat3Crunch1WSommaire du Match
30 - 2018-11-01187Monsters5Heat8WSommaire du Match
32 - 2018-11-03204Baby Hawks2Heat0LSommaire du Match
36 - 2018-11-07226Heat2Admirals3LSommaire du Match
39 - 2018-11-10252Heat3Monarchs4LSommaire du Match
40 - 2018-11-11258Heat5Sharks8LSommaire du Match
44 - 2018-11-15283Rocket0Heat4WSommaire du Match
46 - 2018-11-17301Oil Kings3Heat2LSommaire du Match
48 - 2018-11-19315Las Vegas1Heat2WSommaire du Match
50 - 2018-11-21330Oceanics5Heat4LXXSommaire du Match
52 - 2018-11-23338Heat2Las Vegas0WSommaire du Match
54 - 2018-11-25358Heat0Jayhawks7LSommaire du Match
57 - 2018-11-28380Stars2Heat5WSommaire du Match
59 - 2018-11-30394Monarchs3Heat6WSommaire du Match
61 - 2018-12-02409Heat3Baby Hawks2WXSommaire du Match
63 - 2018-12-04420Heat5Monsters4WXXSommaire du Match
65 - 2018-12-06435Minnesota5Heat2LSommaire du Match
67 - 2018-12-08453Chill5Heat3LSommaire du Match
68 - 2018-12-09460Heat1Oil Kings3LSommaire du Match
71 - 2018-12-12477Phantoms3Heat4WSommaire du Match
74 - 2018-12-15495Heat3Minnesota5LSommaire du Match
75 - 2018-12-16507Heat0Chiefs4LSommaire du Match
77 - 2018-12-18523Heat3Stars0WSommaire du Match
79 - 2018-12-20537Thunder4Heat0LSommaire du Match
81 - 2018-12-22550Chiefs4Heat6WSommaire du Match
86 - 2018-12-27574Heat4Oceanics7LSommaire du Match
88 - 2018-12-29597Comets5Heat4LXXSommaire du Match
90 - 2018-12-31609Sharks5Heat2LSommaire du Match
92 - 2019-01-02616Heat3Cougars6LSommaire du Match
93 - 2019-01-03622Heat3Bruins4LXSommaire du Match
95 - 2019-01-05636Heat0Phantoms6LSommaire du Match
97 - 2019-01-07655Heat2Baby Hawks4LSommaire du Match
99 - 2019-01-09669Monsters4Heat3LSommaire du Match
101 - 2019-01-11685Cabaret Lady Mary Ann2Heat4WSommaire du Match
103 - 2019-01-13704Jayhawks2Heat3WSommaire du Match
106 - 2019-01-16723Crunch1Heat3WSommaire du Match
108 - 2019-01-18737Cougars4Heat5WSommaire du Match
109 - 2019-01-19750Heat2Oil Kings5LSommaire du Match
112 - 2019-01-22763Caroline3Heat7WSommaire du Match
122 - 2019-02-01785Heat0Bears2LSommaire du Match
124 - 2019-02-03804Heat3Caroline4LSommaire du Match
128 - 2019-02-07835Sharks7Heat1LSommaire du Match
130 - 2019-02-09850Heat7Comets6WSommaire du Match
133 - 2019-02-12868Heat3Thunder4LSommaire du Match
135 - 2019-02-14877Heat5Cabaret Lady Mary Ann6LXSommaire du Match
137 - 2019-02-16893Heat3Manchots5LSommaire du Match
139 - 2019-02-18910Jayhawks4Heat3LXXSommaire du Match
141 - 2019-02-20927Sound Tigers6Heat3LSommaire du Match
143 - 2019-02-22943Admirals1Heat5WSommaire du Match
145 - 2019-02-24960Heat4Senators3WXXSommaire du Match
147 - 2019-02-26969Heat1Sound Tigers4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2019-02-27980Heat4Spiders5LXXSommaire du Match
151 - 2019-03-021008Minnesota7Heat4LSommaire du Match
153 - 2019-03-041018Marlies6Heat3LSommaire du Match
155 - 2019-03-061032Heat0Las Vegas4LSommaire du Match
156 - 2019-03-071041Heat7Jayhawks6WXXSommaire du Match
159 - 2019-03-101063Las Vegas5Heat1LSommaire du Match
161 - 2019-03-121078Spiders4Heat2LSommaire du Match
164 - 2019-03-151097Wolf Pack1Heat5WSommaire du Match
165 - 2019-03-161102Heat4Oceanics5LXXSommaire du Match
168 - 2019-03-191131Monsters3Heat1LSommaire du Match
170 - 2019-03-211144Senators1Heat4WSommaire du Match
172 - 2019-03-231161Heat4Comets7LSommaire du Match
174 - 2019-03-251176Monarchs2Heat4WSommaire du Match
176 - 2019-03-271187Stars3Heat4WSommaire du Match
178 - 2019-03-291201Admirals3Heat2LSommaire du Match
180 - 2019-03-311220Heat3Sharks1WSommaire du Match
181 - 2019-04-011228Heat1Monarchs2LSommaire du Match
183 - 2019-04-031241Heat4Admirals3WXXSommaire du Match
186 - 2019-04-061269Oil Kings3Heat4WXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance61,76131,292
Assistance PCT75.32%76.32%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2270 - 75.65% 64,171$2,631,015$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,269,577$ 2,184,450$ 2,202,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,682$ 2,269,577$ 31 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,682$ 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
201882254201356259318-594119180001314013914162401343119179-607125944069903104846510229376875174868273579288717233357020.90%3547379.38%61121236047.50%1156258544.72%618139344.36%1893127219996381087527
Total Saison Régulière82254201356259318-594119180001314013914162401343119179-607125944069903104846510229376875174868273579288717233357020.90%3547379.38%61121236047.50%1156258544.72%618139344.36%1893127219996381087527