Heat

DG: Martin Bétit Morale : 58 Moyenne d'Équipe : 47
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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
1Matt NietoXX100.00553589736161625540515869454839068580
2Hudson Fasching (R)X100.00533581647553355335485865483532078550
3Viktor ArvidssonXX100.00513581775062475335485859483532080550
4Colton SissonsXX100.00575086686951404971425672483532077550
5Josh LeivoXX100.00543583717157364350355066484036078520
6Anthony ManthaXX100.00523589657553354135384460483532078500
7Kevin FialaXX100.00543595735459353935354263483533078500
8Anton Slepyshev (R)XX100.00513589676149364045443565483532078490
9Max Friberg (R)XX100.00513585716853353535353563483532078480
10Sergey Tolchinsky (R)XX100.00453595794853353735383561453532076480
11Cristoval Nieves (R)XX100.00454545456645454545454545453230076460
12Eric Cornel (R)X100.00454545455945454545454545453230078460
13Nicolas Kerdiles (R)XX100.00454545456445454545454545453230074460
14Theodor Blueger (R)XX100.00454545455145454545454545453230080450
15Nikolay Prokhorkin (R)X100.00373737376437373737373737373230023390
16Tyler Motte (R)XX100.00373737375937373737373737373230022390
17John Ramage (R)X100.00573595666558353135303271483532080530
18Andrey Pedan (R)X100.00745065667147363135303264483532078520
19Brett KulakX100.00543593656156353135303267483532080520
20Karl StolleryX100.00543579665550333335333371473734078520
21Kyle CumiskeyX100.00443594665548333335333365474946077510
22Julius Honka (R)X100.00505050505450505050505050503230078490
23Ville Pokka (R)X100.00454545456745454545454545453230078460
24Anthony Florentino (R)X100.00373737377637373737373737373230076410
Rayé
1Garrett WilsonX100.00645076676954393535353565484036071490
2Ryan MacInnis (R)XX100.00454545455845454545454545453230070450
3Matej Stransky (R)X100.00373737376737373737373737373230020390
4Riley Barber (R)X100.00373737376537373737373737373230019390
5Luc Snuggerud (R)X100.00373737375537373737373737373230020390
6Evan ObergX100.00329030336133413335333333473936019370
MOYENNE D'ÉQUIPE100.0048416556624840404039415445353206648
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 Makarov100.0044455564454751454362603532016480
2Calvin Heeter100.0055454573494446434141403532076470
Rayé
1Thatcher Demko (R)100.0045454571454545454545453230019460
2Ilya Sorokin (R)100.0043434360434343434343433230020430
MOYENNE D'ÉQUIPE100.004745476746454644434847343103346
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ted Nolan80606687816874CAN582500,000$


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
1Colton SissonsHeat (Cal)C/RW745654110503715902552950018.98%38146719.8314132764275123112286158.64%204800021.50230121269
2Viktor ArvidssonHeat (Cal)LW/RW59337110448320701342430013.58%20123220.8911193064238314152305239.08%8700001.69020008512
3Hudson FaschingHeat (Cal)RW74416210342440901172670015.36%17134418.18920296928110191345244.98%20900001.5311000775
4Josh LeivoHeat (Cal)LW/RW74262551-6300781192560010.16%21128117.31911207528101131226049.38%8100000.8000000321
5Anthony ManthaHeat (Cal)LW/RW74172643-1022042791660010.24%5107314.50771444219000001043.42%7600000.8000000030
6Karl StolleryHeat (Cal)D748344232804667101007.92%66132617.9361218562400001199020.00%000000.6300000211
7John RamageHeat (Cal)D61929382942011168108008.33%95134021.9741014682590114209010.00%000000.5700000014
8Kevin FialaHeat (Cal)LW/RW74171734-718030931330012.78%984511.4300002000002057.41%5400000.8000000101
9Anton SlepyshevHeat (Cal)LW/RW74111930-71602584118009.32%1079010.68224414000002054.17%4800000.7600000030
10Cristoval NievesHeat (Cal)C/LW7482230-57820137119760010.53%2111715.1018921263000001049.57%138800000.5400102011
11Andrey PedanHeat (Cal)D74821296107520250690011.59%65133718.07257362410002181210.00%000000.4300001111
12Matt NietoHeat (Cal)LW/RW177132041202758590011.86%836821.6705510611013701039.77%17600001.0902000031
13Kyle CumiskeyHeat (Cal)D7471219-62603246420016.67%7089512.10202818000082000.00%000000.4200000100
14Sergey TolchinskyHeat (Cal)LW/RW7491019-1940684820010.98%105657.6500000000001145.95%3700000.6700000100
15Nicolas KerdilesHeat (Cal)C/LW7461218-7581010778490012.24%384211.3800000000001052.34%83300000.4300011001
16Brett KulakHeat (Cal)D624121615007234260015.38%4973911.92213325000048100.00%000000.4300000000
17Garrett WilsonHeat (Cal)LW657815-16400445375009.33%44607.0802258000030052.94%3400000.6500000021
18Julius HonkaHeat (Cal)D7421214-2161159234140014.29%266198.3600000000023100.00%000000.4500210101
19Theodor BluegerHeat (Cal)C/LW575510-172204137320015.63%34427.7600000000002047.15%45600000.4500000000
20Ville PokkaHeat (Cal)D74088-14280561911000.00%255607.5700003000016000.00%000000.2900000000
21Max FribergHeat (Cal)LW/RW74167-42081013007.69%41441.960557580001540036.00%7500100.9700000010
22Eric CornelHeat (Cal)C74235-4180229160012.50%11832.471126310000180040.85%14200000.5500000000
23Ryan MacInnisHeat (Cal)C/LW63033-100574000.00%21422.260222601121330040.00%10500000.4200000000
24Anthony FlorentinoHeat (Cal)D74000-11001801000.00%51882.5500004700005000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne164228448476838785651451165422560012.59%5581930811.767012319354225826612511767371051.80%584900120.8038336373639
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
1Andrey MakarovHeat (Cal)74402720.8643.7840134125318600210.83312740302
2Calvin HeeterHeat (Cal)150500.9053.0944700232430020.0000074000
Stats d'équipe Total ou en Moyenne89403220.8693.7144604127621030230.833127474302


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrey MakarovHeat (Cal)G221993-04-20No178 Lbs6 ft1NoNo3Avec RestrictionPro & Farm580,000$580,000$580,000$Lien
Andrey PedanHeat (Cal)D221993-07-03Yes213 Lbs6 ft5NoNo4Avec RestrictionPro & Farm792,000$792,000$792,000$792,000$Lien
Anthony FlorentinoHeat (Cal)D201995-01-30Yes227 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Anthony ManthaHeat (Cal)LW/RW211994-09-16No214 Lbs6 ft5NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Anton SlepyshevHeat (Cal)LW/RW211994-05-13Yes187 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Brett KulakHeat (Cal)D211994-01-06No190 Lbs6 ft1NoNo3Contrat d'EntréePro & Farm635,000$635,000$635,000$Lien
Calvin HeeterHeat (Cal)G261988-11-02No195 Lbs6 ft4NoNo2Avec RestrictionPro & Farm1,100,000$1,100,000$Lien
Colton SissonsHeat (Cal)C/RW211993-11-05No200 Lbs6 ft1NoNo2Contrat d'EntréePro & Farm640,000$640,000$Lien
Cristoval NievesHeat (Cal)C/LW211994-01-23Yes192 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Eric CornelHeat (Cal)C191996-04-11Yes186 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Evan ObergHeat (Cal)D271988-02-16No191 Lbs6 ft0NoNo2Avec RestrictionPro & Farm700,000$700,000$Lien
Garrett WilsonHeat (Cal)LW241991-03-16No199 Lbs6 ft2NoNo2Avec RestrictionPro & Farm730,000$730,000$Lien
Hudson FaschingHeat (Cal)RW201995-07-28Yes216 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Ilya SorokinHeat (Cal)G201995-08-04Yes167 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
John RamageHeat (Cal)D241991-02-07Yes200 Lbs6 ft0NoNo3Avec RestrictionPro & Farm690,000$690,000$690,000$Lien
Josh LeivoHeat (Cal)LW/RW221993-05-26No204 Lbs6 ft1NoNo2Avec RestrictionPro & Farm693,000$693,000$Lien
Julius HonkaHeat (Cal)D191995-12-03Yes180 Lbs5 ft10NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Karl StolleryHeat (Cal)D271987-11-21No180 Lbs5 ft11NoNo2Avec RestrictionPro & Farm850,000$850,000$Lien
Kevin FialaHeat (Cal)LW/RW191996-07-22No180 Lbs5 ft10NoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$Lien
Kyle CumiskeyHeat (Cal)D281986-12-02No180 Lbs5 ft11NoNo1Avec RestrictionPro & Farm1,000,000$Lien
Luc SnuggerudHeat (Cal)D201995-09-18Yes180 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Matej StranskyHeat (Cal)RW221993-07-11Yes193 Lbs6 ft3NoNo4Avec RestrictionPro & Farm575,000$575,000$575,000$575,000$Lien
Matt NietoHeat (Cal)LW/RW221992-11-05No190 Lbs5 ft11NoNo2Avec RestrictionPro & Farm693,000$693,000$Lien
Max FribergHeat (Cal)LW/RW221992-11-20Yes200 Lbs5 ft11NoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$Lien
Nicolas KerdilesHeat (Cal)C/LW211994-01-11Yes191 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Nikolay ProkhorkinHeat (Cal)LW221993-09-17Yes190 Lbs6 ft2NoNo4Avec RestrictionPro & Farm525,000$525,000$525,000$525,000$Lien
Riley BarberHeat (Cal)RW211994-02-07Yes194 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Ryan MacInnisHeat (Cal)C/LW191996-02-14Yes183 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm718,000$718,000$718,000$718,000$Lien
Sergey TolchinskyHeat (Cal)LW/RW201995-02-03Yes170 Lbs5 ft8NoNo4Contrat d'EntréePro & Farm600,000$600,000$600,000$600,000$Lien
Thatcher DemkoHeat (Cal)G191995-12-08Yes192 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Theodor BluegerHeat (Cal)C/LW211994-08-15Yes171 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Tyler MotteHeat (Cal)C/LW201995-03-10Yes190 Lbs5 ft9NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Viktor ArvidssonHeat (Cal)LW/RW221993-04-08No172 Lbs5 ft9NoNo3Avec RestrictionPro & Farm615,000$615,000$615,000$Lien
Ville PokkaHeat (Cal)D211994-03-06Yes205 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3421.65191 Lbs6 ft13.32758,176$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt NietoColton Sissons40122
2Josh LeivoCristoval NievesHudson Fasching30122
3Kevin FialaNicolas KerdilesAnthony Mantha20122
4Anton SlepyshevEric CornelSergey Tolchinsky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrey Pedan40122
2Karl Stollery30122
3Kyle CumiskeyJulius Honka20122
4Ville PokkaAnthony Florentino10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt NietoColton Sissons60122
2Josh LeivoCristoval NievesHudson Fasching40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrey Pedan60122
2Karl Stollery40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt Nieto60122
2Colton SissonsHudson Fasching40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrey Pedan60122
2Karl Stollery40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Nieto60122Andrey Pedan60122
240122Karl Stollery40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt Nieto60122
2Colton SissonsHudson Fasching40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrey Pedan60122
2Karl Stollery40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt NietoColton SissonsAndrey Pedan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt NietoColton SissonsAndrey Pedan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Max Friberg, , Max Friberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Cumiskey, Julius Honka, Ville PokkaKyle CumiskeyJulius Honka, Ville Pokka
Tirs de Pénalité
Matt Nieto, , Colton Sissons, Hudson Fasching, Josh Leivo
Gardien
#1 : Andrey Makarov, #2 : Calvin Heeter


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
Admirals514000001826-8312000001314-120200000512-720.200182947001321137061098738658403215646608524416.67%301066.67%21309265649.28%1247249849.92%753145751.68%1932130419396371078539
Falcons210010001192110000007611000100043141.0001119300013211370668873865840325211224113323.08%6183.33%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Bruins2010001079-2100000105411010000025-320.50071017001321137064787386584032601521488225.00%8187.50%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Crunch22000000954110000004221100000053241.000917260013211370668873865840325918253916318.75%9277.78%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Phantoms22000000734110000003121100000042241.000713200013211370653873865840323812144715213.33%7185.71%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Baby Hawks31200000616-101100000043120200000213-1120.333611170013211370683873865840321213930431119.09%15566.67%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Monsters321000001211121100000810-21100000041340.6671220320013211370696873865840329721345712325.00%160100.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Jayhawks321000001091220000007431010000035-240.6671020300013211370691873865840327320286016318.75%14564.29%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Cougars2020000057-21010000034-11010000023-100.0005914001321137066587386584032411514341200.00%6183.33%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Oil Kings43100000161242110000057-222000000115660.75016314700132113706153873865840321233833692727.41%12191.67%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Sound Tigers20200000610-41010000025-31010000045-100.00061016001321137065487386584032813232448225.00%15473.33%11309265649.28%1247249849.92%753145751.68%1932130419396371078539
Monarchs522001001519-4311001001014-42110000055050.500152338001321137061658738658403210333669820210.00%25676.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Minnesota321000001688211000009721100000071640.66716304600132113706147873865840321012929561516.67%12466.67%11309265649.28%1247249849.92%753145751.68%1932130419396371078539
Spiders2110000057-2110000004311010000014-320.5005813001321137066087386584032612145429222.22%17476.47%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Senators211000001055110000006061010000045-120.50010172701132113706858738658403256721406233.33%7271.43%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Manchots210000018801000000145-11100000043130.75081624001321137064887386584032357144312216.67%6183.33%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Wolf Pack220000001266110000006241100000064241.000122133001321137068887386584032582138429666.67%12466.67%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Sharks523000001720-320200000812-43210000098140.4001730472013211370614587386584032131394811917529.41%22672.73%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Chiefs302000101012-2100000105412020000058-320.33310172700132113706102873865840321082526728112.50%12191.67%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Thunder2010001078-1100000103211010000046-220.500711181013211370669873865840325312295417317.65%10370.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Marlies220000001275110000006331100000064241.000122032001321137066687386584032641614395360.00%6183.33%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Comets523000001819-12200000094530300000915-640.400183250001321137061758738658403217054588535411.43%24483.33%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Cabaret Lady Mary Ann2110000011101110000007341010000047-320.500112132001321137066787386584032923120505120.00%10190.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
IceCaps330000001073110000004312200000064261.0001012220013211370662873865840328520325916318.75%16287.50%11309265649.28%1247249849.92%753145751.68%1932130419396371078539
Chill505000001529-1430300000819-1120200000710-300.000152843001321137061268738658403215750529930826.67%25772.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Rocket220000001596110000007431100000085341.0001527420013211370674873865840326113224911218.18%10370.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Bears220000001046110000008351100000021141.000101626001321137064487386584032421719455240.00%70100.00%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Caroline21100000910-1110000005411010000046-220.50091827001321137067687386584032742014446350.00%7271.43%01309265649.28%1247249849.92%753145751.68%1932130419396371078539
Las Vegas3010101014131100000105412010100099040.66714213500132113706112873865840329123245822418.18%10280.00%11309265649.28%1247249849.92%753145751.68%1932130419396371078539
Vs Conference3920160102016314815191340002084632120712010007985-6460.5901632944570013211370613758738658403212753623717552013115.42%1633280.37%21309265649.28%1247249849.92%753145751.68%1932130419396371078539
Since Last GM Reset823836021413213183412213001411751561941162302000146162-16900.54932155787831132113706259887386584032244370588416614107919.27%3768477.66%61309265649.28%1247249849.92%753145751.68%1932130419396371078539
Total823836021413213183412213001411751561941162302000146162-16900.54932155787831132113706259887386584032244370588416614107919.27%3768477.66%61309265649.28%1247249849.92%753145751.68%1932130419396371078539

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8290L532155787825982443705884166131
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8238362141321318
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122130141175156
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4116232000146162
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4107919.27%3768477.66%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
87386584032132113706
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
1309265649.28%1247249849.92%753145751.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1932130419396371078539


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 - 2016-10-123Heat6Oil Kings4WSommaire du Match
3 - 2016-10-1415Oil Kings5Heat2LSommaire du Match
4 - 2016-10-1517Heat4Comets6LSommaire du Match
7 - 2016-10-1847Crunch2Heat4WSommaire du Match
9 - 2016-10-2059Caroline4Heat5WSommaire du Match
11 - 2016-10-2272Chiefs4Heat5WXXSommaire du Match
13 - 2016-10-2482Heat1Baby Hawks9LSommaire du Match
14 - 2016-10-2589Heat3Chiefs4LSommaire du Match
17 - 2016-10-28110Senators0Heat6WSommaire du Match
19 - 2016-10-30130Bears3Heat8WSommaire du Match
21 - 2016-11-01135Heat1Baby Hawks4LSommaire du Match
23 - 2016-11-03155Heat4Sharks2WSommaire du Match
25 - 2016-11-05172Heat2Monarchs1WSommaire du Match
26 - 2016-11-06179Heat4Admirals6LSommaire du Match
30 - 2016-11-10201Jayhawks2Heat3WSommaire du Match
32 - 2016-11-12215Wolf Pack2Heat6WSommaire du Match
35 - 2016-11-15232Heat7Minnesota1WSommaire du Match
36 - 2016-11-16244Chill6Heat0LSommaire du Match
38 - 2016-11-18259Baby Hawks3Heat4WSommaire du Match
40 - 2016-11-20274Heat2Cougars3LSommaire du Match
41 - 2016-11-21276Heat5Crunch3WSommaire du Match
43 - 2016-11-23292Heat4Falcons3WXSommaire du Match
45 - 2016-11-25304Heat2Bruins5LSommaire du Match
47 - 2016-11-27324Heat4Phantoms2WSommaire du Match
48 - 2016-11-28328Heat4Sound Tigers5LSommaire du Match
50 - 2016-11-30344Marlies3Heat6WSommaire du Match
52 - 2016-12-02357Minnesota3Heat6WSommaire du Match
54 - 2016-12-04375Admirals3Heat2LSommaire du Match
56 - 2016-12-06388Heat3Jayhawks5LSommaire du Match
58 - 2016-12-08403Heat4Chill6LSommaire du Match
60 - 2016-12-10415IceCaps3Heat4WSommaire du Match
64 - 2016-12-14443Thunder2Heat3WXXSommaire du Match
66 - 2016-12-16457Falcons6Heat7WSommaire du Match
69 - 2016-12-19480Heat3Chill4LSommaire du Match
70 - 2016-12-20492Heat4Sharks3WSommaire du Match
73 - 2016-12-23506Comets2Heat5WSommaire du Match
77 - 2016-12-27524Heat4Monsters1WSommaire du Match
79 - 2016-12-29541Admirals4Heat5WSommaire du Match
81 - 2016-12-31549Chill6Heat2LSommaire du Match
85 - 2017-01-04572Monsters6Heat3LSommaire du Match
87 - 2017-01-06589Heat4Comets5LSommaire du Match
88 - 2017-01-07598Comets2Heat4WSommaire du Match
90 - 2017-01-09611Heat2IceCaps1WSommaire du Match
92 - 2017-01-11623Sharks6Heat4LSommaire du Match
94 - 2017-01-13638Spiders3Heat4WSommaire du Match
95 - 2017-01-14649Heat5Oil Kings1WSommaire du Match
98 - 2017-01-17669Cabaret Lady Mary Ann3Heat7WSommaire du Match
100 - 2017-01-19682Las Vegas4Heat5WXXSommaire du Match
102 - 2017-01-21699Oil Kings2Heat3WSommaire du Match
104 - 2017-01-23713Heat6Marlies4WSommaire du Match
105 - 2017-01-24718Heat8Rocket5WSommaire du Match
107 - 2017-01-26730Heat4Senators5LSommaire du Match
113 - 2017-02-01756Minnesota4Heat3LSommaire du Match
115 - 2017-02-03770Heat1Spiders4LSommaire du Match
117 - 2017-02-05786Heat6Wolf Pack4WSommaire du Match
119 - 2017-02-07792Heat4Manchots3WSommaire du Match
125 - 2017-02-13835Chill7Heat6LSommaire du Match
127 - 2017-02-15845Phantoms1Heat3WSommaire du Match
130 - 2017-02-18867Heat1Comets4LSommaire du Match
133 - 2017-02-21888Heat5Las Vegas4WXSommaire du Match
135 - 2017-02-23896Heat4Thunder6LSommaire du Match
136 - 2017-02-24901Heat4Cabaret Lady Mary Ann7LSommaire du Match
138 - 2017-02-26913Heat4Caroline6LSommaire du Match
140 - 2017-02-28922Monarchs7Heat2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03946Cougars4Heat3LSommaire du Match
145 - 2017-03-05962Sound Tigers5Heat2LSommaire du Match
149 - 2017-03-09986Rocket4Heat7WSommaire du Match
151 - 2017-03-111007Heat4IceCaps3WSommaire du Match
153 - 2017-03-131020Manchots5Heat4LXXSommaire du Match
155 - 2017-03-151034Bruins4Heat5WXXSommaire du Match
157 - 2017-03-171051Jayhawks2Heat4WSommaire du Match
159 - 2017-03-191065Monarchs4Heat3LXSommaire du Match
161 - 2017-03-211078Heat2Bears1WSommaire du Match
163 - 2017-03-231096Heat4Las Vegas5LSommaire du Match
165 - 2017-03-251112Heat2Chiefs4LSommaire du Match
167 - 2017-03-271123Monsters4Heat5WSommaire du Match
169 - 2017-03-291138Monarchs3Heat5WSommaire du Match
171 - 2017-03-311154Sharks6Heat4LSommaire du Match
173 - 2017-04-021174Admirals7Heat6LSommaire du Match
175 - 2017-04-041184Heat1Admirals6LSommaire du Match
177 - 2017-04-061195Heat3Monarchs4LSommaire du Match
179 - 2017-04-081219Heat1Sharks3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance6277531284
Assistance PCT76.55%76.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2294 - 76.47% 65,034$2,666,385$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,577,800$ 2,577,800$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
3,092,874$ 14,242$ 2,590,144$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 17,004$ 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
2016823836021413213183412213001411751561941162302000146162-167632155787831132113706259887386584032244370588416614107919.27%3768477.66%61309265649.28%1247249849.92%753145751.68%1932130419396371078539
Total Saison Régulière823836021413213183412213001411751561941162302000146162-167632155787831132113706259887386584032244370588416614107919.27%3768477.66%61309265649.28%1247249849.92%753145751.68%1932130419396371078539