Heat
GP: 80 | W: 47 | L: 19 | OTL: 14 | P: 108
GF: 372 | GA: 330 | PP%: 23.58% | PK%: 79.21%
DG: Steve Landry | Morale : 53 | Moyenne d'Équipe : 64
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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 SPÂgeContratSalaire
1Bryan Rust (R)X100.006525857074857469727271746851454762700231800,000$
2Tanner Pearson (R)X100.006428897678798176606180577454505372700232950,000$
3Philip Varone (R)X100.006824697071737372797468606457553555680251700,000$
4Matthew Nieto (R)X100.006827766972767469737869596655544673680232800,000$
5Jake DeBrusk (R)X100.007252787173686467647074626641427360670192500,000$
6Victor Rask (R)X100.006633776876707069736675577246445373670222900,000$
7Evgeny Svechnikov (R)X100.006432825986727366746586426541437073660192500,000$
8Kevin Labanc (R)X100.005327768464656276676766627943416663660191500,000$
9Ryan Spooner (R)X100.005931726970696967727565576245454473650233750,000$
10Chris Brown (R)X100.006041766768717161585379486746463632630241550,000$
11Tyler Shattock (R)X100.006032606665665966635972606155533236630251550,000$
12Barclay Goodrow (R)X100.007229686864656461596364645844444633630223750,000$
13Peter Cehlarik (R)X100.006145766461666565716863566342426374620202700,000$
14Eric Karlsson (R)X100.007732686174596760585966535143435219600212525,000$
15David Savard (R) (A)X100.0079417776757876715966697463675736687202511,200,000$
16Esa Lindell (R)X100.006529827773727781428168675949435567710212950,000$
17Colby CohenX100.007137716473776158536661776153492641670261500,000$
18Mathieu Brodeur (R)X100.006828816371737669426555755351483173670251650,000$
19Greg Pateryn (R) (A)X100.007037656870786562556962745851483364670251650,000$
20Frank Corrado (R)X100.006640716571767068516553665444444756650222600,000$
21Rasmus Andersson (R)X100.006136767652535876307458654541437518630192500,000$
22Trevor Carrick (R)X100.005636707557656970347151633643434319620213550,000$
23Petteri Lindbohm (R)X100.005439745758646969386568625144464419620223550,000$
24John Gilmour (R)X100.006930735954716170466855615344454219620222600,000$
25Dominik Masin (R)X100.005829806061566044225333704241416718580191500,000$
Rayé
1Vladislav Kamenev (R)X100.006526684467616262555368506841417020570191500,000$
2Alexander True (R)X100.005636595060486254515247415140406120500182500,000$
3Christian Jaros (R)X100.006025695655554854266240664741426219570192500,000$
4Brandon Hickey (R)X100.005824785356575845316039694541415420570191500,000$
MOYENNE D'ÉQUIPE100.00643374666768676554666362594745504664
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
1Michael Hutchinson100.00667567697371697774676750483273700
2Antti Raanta100.00776473716475686564717163613270680
Rayé
1Nathan Lieuwen100.00646564575967606569586359573419630
2Vitek Vanecek100.00586465525266734751715841416320580
MOYENNE D'ÉQUIPE100.0066676762627068646567655352404665
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma77706870495064USA411800,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tanner PearsonHeat (Cal)LW8068641321310010110636313922518.73%45165820.73182139642781011667641.47%2587932051.59260001864
2Philip VaroneHeat (Cal)C784857105428001301572336814520.60%35151219.3911122328180235111928254.71%17623422041.3912000686
3Kevin LabancHeat (Cal)RW783556911614080642678317013.11%32120715.48122133502490002311446.43%846118011.5100000274
4Esa LindellHeat (Cal)D741871892048010113521982918.22%116200227.06121628552740445284210.00%06386000.8900000525
5Bryan RustHeat (Cal)RW75294978262601021082426414211.98%50150720.10178761437132554255.56%1263137001.0300000543
6Matthew NietoHeat (Cal)LW8035346920320139882045711217.16%41127215.902681213620271056153.73%673621001.0801000424
7Vladimir SobotkaFlamesC46224163352079114146378415.07%3495520.785712125721381663151.19%13891918001.3202000144
8Victor RaskHeat (Cal)C80273259-5300109105167538816.17%16114714.3561420201970001226153.50%8992411001.0300000032
9David SavardHeat (Cal)D71839471938013212111957526.72%103193527.27291125265011026810100.00%13660000.4900000032
10Jake DeBruskHeat (Cal)LW78152136-1648010358144427810.42%19100812.9335898900021003143.75%322721000.7114000112
11Ryan SpoonerHeat (Cal)C80191433-42407162144428013.19%1682910.370113450115921154.13%3752610000.8000000203
12Mathieu BrodeurHeat (Cal)D8042933211808613610835373.70%89175721.9711271700221225100.00%01251000.3800000101
13Evgeny SvechnikovHeat (Cal)RW8072229-1212088517622529.21%12106613.333697184000000046.67%45198000.5424000000
14Greg PaterynHeat (Cal)D75425291913201121099142394.40%88156920.9202231800001109000.00%02239000.3700000012
15Peter CehlarikHeat (Cal)LW801211239155433082334114.63%106267.8400003000000050.00%12148000.7300001021
16Barclay GoodrowHeat (Cal)RW5621012416049324418214.55%94548.11000000000180142.86%1469000.5300000000
17Chris BrownHeat (Cal)C403811340262530172210.00%63598.980000120112491045.52%14587000.6100000001
18Tyler ShattockHeat (Cal)RW3573103140311949112214.29%52687.6700004000000066.67%622000.7500000000
19Christian FolinFlamesD92684120131622459.09%1823926.65213638011342010.00%044000.6700000000
20Colby CohenHeat (Cal)D3208891602930219190.00%3143913.7300001011292000.00%0414000.3600000000
21Frank CorradoHeat (Cal)D72246-138045422918116.90%4486211.98000021000041010.00%0318000.1400000000
22Rasmus AnderssonHeat (Cal)D36134-141401426311083.23%2244912.48000022000040000.00%0314000.1800000000
23Petteri LindbohmHeat (Cal)D311340120101813677.69%1238912.58101130000013000.00%047000.2100000000
24Ryan DonatoFlamesC5011000010000.00%071.430000000000000.00%000002.7900000000
25Trevor CarrickHeat (Cal)D7000-260482000.00%1618.760000000003000.00%001000.0000000000
26Eric KarlssonHeat (Cal)LW7000240001000.00%0243.450000000007000.00%101000.0000000000
27John GilmourHeat (Cal)D5000100100000.00%1265.380000000000000.00%001000.0000000000
28Dominik MasinHeat (Cal)D4000-100020000.00%161.650000000000000.00%011000.0000000000
Stats d'équipe Total ou en Moyenne14743696119801797155169816632847949155112.96%8562364716.04791292083092509111829642232442352.32%52165385210100.83619001454344
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
1Michael HutchinsonHeat (Cal)613410100.8763.943395402231805854400.667215723212
2Antti RaantaHeat (Cal)2813930.8754.1514310099789384120.00002354011
3Nathan LieuwenHeat (Cal)10010.8245.8131003175000.000003000
Stats d'équipe Total ou en Moyenne904719140.8764.0148584032526111243520.667218080223


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander TrueHeat (Cal)C181997-01-01Yes200 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Antti RaantaHeat (Cal)G261989-01-01No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Barclay GoodrowHeat (Cal)RW221993-01-01Yes215 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No800,000$850,000$
Brandon HickeyHeat (Cal)D191996-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Bryan RustHeat (Cal)RW231992-01-01Yes192 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$No
Chris BrownHeat (Cal)C241991-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm550,000$0$0$No
Christian JarosHeat (Cal)D191996-01-01Yes222 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Colby CohenHeat (Cal)D261989-01-01No215 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
David SavardHeat (Cal)D251990-01-01Yes219 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$0$0$No
Dominik MasinHeat (Cal)D191996-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Eric KarlssonHeat (Cal)LW211994-01-01Yes161 Lbs5 ft11NoNoNo2Pro & Farm525,000$0$0$No550,000$
Esa LindellHeat (Cal)D211994-01-01Yes187 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No1,250,000$
Evgeny SvechnikovHeat (Cal)RW191996-01-01Yes208 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Frank CorradoHeat (Cal)D221993-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No650,000$
Greg PaterynHeat (Cal)D251990-01-01Yes214 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Jake DeBruskHeat (Cal)LW191996-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
John GilmourHeat (Cal)D221993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Kevin LabancHeat (Cal)RW191996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Mathieu BrodeurHeat (Cal)D251990-01-01Yes215 Lbs6 ft6NoNoNo1Pro & Farm650,000$0$0$No
Matthew NietoHeat (Cal)LW231992-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No900,000$
Michael HutchinsonHeat (Cal)G251990-01-01No202 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Nathan LieuwenHeat (Cal)G241991-01-01No189 Lbs6 ft5NoNoNo1Pro & Farm600,000$0$0$No
Peter CehlarikHeat (Cal)LW201995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No750,000$
Petteri LindbohmHeat (Cal)D221993-01-01Yes209 Lbs6 ft3NoNoNo3Pro & Farm550,000$0$0$No575,000$600,000$
Philip VaroneHeat (Cal)C251990-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$No
Rasmus AnderssonHeat (Cal)D191996-01-01Yes214 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ryan SpoonerHeat (Cal)C231992-01-01Yes181 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No800,000$850,000$
Tanner PearsonHeat (Cal)LW231992-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No1,100,000$
Trevor CarrickHeat (Cal)D211994-01-01Yes171 Lbs6 ft1NoNoNo3Pro & Farm550,000$0$0$No575,000$600,000$
Tyler ShattockHeat (Cal)RW251990-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm550,000$0$0$No
Victor RaskHeat (Cal)C221993-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No950,000$
Vitek VanecekHeat (Cal)G191996-01-01No190 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Vladislav KamenevHeat (Cal)C191996-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3321.94197 Lbs6 ft11.64653,030$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tanner PearsonPhilip VaroneBryan Rust40122
2Matthew NietoVictor RaskKevin Labanc30122
3Jake DeBruskRyan SpoonerEvgeny Svechnikov20122
4Peter CehlarikChris BrownBarclay Goodrow10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SavardEsa Lindell40122
2Greg PaterynMathieu Brodeur30122
3Colby CohenFrank Corrado20122
4Rasmus AnderssonPetteri Lindbohm10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tanner PearsonPhilip VaroneBryan Rust60122
2Matthew NietoVictor RaskKevin Labanc40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SavardEsa Lindell60122
2Greg PaterynMathieu Brodeur40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tanner PearsonBryan Rust60122
2Philip VaroneMatthew Nieto40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SavardEsa Lindell60122
2Greg PaterynMathieu Brodeur40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tanner Pearson60122David SavardEsa Lindell60122
2Bryan Rust40122Greg PaterynMathieu Brodeur40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tanner PearsonBryan Rust60122
2Philip VaroneMatthew Nieto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1David SavardEsa Lindell60122
2Greg PaterynMathieu Brodeur40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tanner PearsonPhilip VaroneBryan RustDavid SavardEsa Lindell
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tanner PearsonPhilip VaroneBryan RustDavid SavardEsa Lindell
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Shattock, Eric Karlsson, Jake DeBruskTyler Shattock, Eric KarlssonJake DeBrusk
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Gilmour, Trevor Carrick, Dominik MasinJohn GilmourTrevor Carrick, Dominik Masin
Tirs de Pénalité
Tanner Pearson, Bryan Rust, Philip Varone, Matthew Nieto, Victor Rask
Gardien
#1 : Michael Hutchinson, #2 : Antti Raanta


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
1Admirals20200000712-51010000057-21010000025-300.0007111800107134122126797796788537692516384250.00%8275.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
2Barracuda20100100510-51010000037-41000010023-110.2505101500107134122126497796788537662016369222.22%80100.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
3Bears32000001161332100000111921100000054150.83316264200107134122121059779678853774242664800.00%13469.23%01018189953.61%979192350.91%732139452.51%172096816837651459721
4Checkers734000002426-2422000001515031200000911-260.429243559001071341221221697796788537209728015128621.43%40782.50%01018189953.61%979192350.91%732139452.51%172096816837651459721
5Comets33000000176111100000063322000000113861.00017284500107134122121009779678853710034286112216.67%14378.57%21018189953.61%979192350.91%732139452.51%172096816837651459721
6Condors3200010014113210001009811100000053250.833142337001071341221210597796788537962418631218.33%9277.78%01018189953.61%979192350.91%732139452.51%172096816837651459721
7Crunch412000101619-32010001068-2211000001011-140.50016223810107134122121469779678853713646328418633.33%16756.25%11018189953.61%979192350.91%732139452.51%172096816837651459721
8Devils312000001314-120200000811-31100000053220.333132134101071341221211597796788537952224599111.11%12191.67%01018189953.61%979192350.91%732139452.51%172096816837651459721
9Eagles64100001262513200000113103321000001315-290.750264571001071341221221297796788537188748313740922.50%39879.49%11018189953.61%979192350.91%732139452.51%172096816837651459721
10Griffins20001001880100010005411000000134-130.7508142200107134122126897796788537701914356116.67%7185.71%01018189953.61%979192350.91%732139452.51%172096816837651459721
11IceHogs21001000963110000005321000100043141.0009162500107134122127797796788537722320448225.00%10190.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
12Influenza20100100810-21000010067-11010000023-110.2508162400107134122127697796788537712012429333.33%60100.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
13Little Stars311001001518-321000100111101010000047-330.50015264100107134122121119779678853711524286010220.00%14564.29%01018189953.61%979192350.91%732139452.51%172096816837651459721
14Monsters220000001064110000006511100000041341.0001015250010713412212789779678853762206587114.29%3166.67%01018189953.61%979192350.91%732139452.51%172096816837651459721
15Moose20100010660100000103211010000034-120.50069150010713412212669779678853769291048300.00%50100.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
16Penguins63200100282623210000015132311001001313070.583284977001071341221221197796788537191765413516425.00%27581.48%01018189953.61%979192350.91%732139452.51%172096816837651459721
17Phantoms21100000981110000006331010000035-220.5009162500107134122126297796788537862020296350.00%10190.00%11018189953.61%979192350.91%732139452.51%172096816837651459721
18Punishers33000000155101100000041322000000114761.000152540001071341221211697796788537993632669222.22%16287.50%01018189953.61%979192350.91%732139452.51%172096816837651459721
19Rampage310002001718-111000000651200002001113-240.6671728450010713412212110977967885379923245719736.84%12375.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
20Reign2010010079-21010000045-11000010034-110.2507111800107134122128297796788537671916358112.50%8275.00%01018189953.61%979192350.91%732139452.51%172096816837651459721
21Rocket32000010161241100000043121000010129361.00016244000107134122121049779678853710044226411327.27%10460.00%11018189953.61%979192350.91%732139452.51%172096816837651459721
22Senators32000100181441000010056-122000000138550.83318284600107134122121239779678853710434265913538.46%13284.62%11018189953.61%979192350.91%732139452.51%172096816837651459721
23Sound Tigers21001000954100010003211100000063341.0009172600107134122127697796788537571416391400.00%8362.50%11018189953.61%979192350.91%732139452.51%172096816837651459721
24Thunderbirds31001100201642100100014951000010067-150.8332034540010713412212106977967885379733328115533.33%16475.00%11018189953.61%979192350.91%732139452.51%172096816837651459721
25Wolfpack7400210039271232001000191184200110020164130.92939621010010713412212251977967885372218164153411126.83%32681.25%21018189953.61%979192350.91%732139452.51%172096816837651459721
Total8038190611333723304240199044221921682440191002711180162181080.6753726119832010713412212284797796788537261385671916983357923.58%3567479.21%111018189953.61%979192350.91%732139452.51%172096816837651459721
_Since Last GM Reset8038190611333723304240199044221921682440191002711180162181080.6753726119832010713412212284797796788537261385671916983357923.58%3567479.21%111018189953.61%979192350.91%732139452.51%172096816837651459721
_Vs Conference5127120371124821434251360221112210319261460150012611115700.6862484036512010713412212181797796788537165455550711032306026.09%2515378.88%81018189953.61%979192350.91%732139452.51%172096816837651459721
_Vs Division26147022011171041313830100162491313640120055550350.6731171913080010713412212890977967885378093032815761253024.00%1382681.16%31018189953.61%979192350.91%732139452.51%172096816837651459721

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
80108L137261198328472613856719169820
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
80381961133372330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
401994422192168
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4019102711180162
Derniers 10 Matchs
WLOTWOTL SOWSOL
422101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3357923.58%3567479.21%11
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
9779678853710713412212
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
1018189953.61%979192350.91%732139452.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172096816837651459721


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 - 2020-10-091Checkers1Heat5WSommaire du Match
3 - 2020-10-1112Heat5Eagles4WSommaire du Match
4 - 2020-10-1221Heat5Wolfpack3WSommaire du Match
10 - 2020-10-1848Eagles3Heat5WSommaire du Match
12 - 2020-10-2062Heat4Penguins5LXSommaire du Match
14 - 2020-10-2273Penguins4Heat5WSommaire du Match
16 - 2020-10-2486Heat2Checkers5LSommaire du Match
18 - 2020-10-2698Checkers3Heat5WSommaire du Match
20 - 2020-10-28112Heat3Checkers4LSommaire du Match
23 - 2020-10-31123Wolfpack4Heat7WSommaire du Match
25 - 2020-11-02135Heat5Rampage6LXSommaire du Match
28 - 2020-11-05151Wolfpack3Heat7WSommaire du Match
29 - 2020-11-06155Heat5Wolfpack6LXSommaire du Match
32 - 2020-11-09176Checkers5Heat3LSommaire du Match
34 - 2020-11-11186Heat5Crunch4WSommaire du Match
36 - 2020-11-13197Crunch2Heat3WXXSommaire du Match
39 - 2020-11-16213Heat3Griffins4LXXSommaire du Match
42 - 2020-11-19227Rocket3Heat4WSommaire du Match
44 - 2020-11-21241Heat2Admirals5LSommaire du Match
45 - 2020-11-22249Heat5Devils3WSommaire du Match
47 - 2020-11-24256Admirals7Heat5LSommaire du Match
50 - 2020-11-27269Heat3Moose4LSommaire du Match
52 - 2020-11-29283Penguins3Heat2LSommaire du Match
54 - 2020-12-01291Heat4IceHogs3WXSommaire du Match
57 - 2020-12-04307IceHogs3Heat5WSommaire du Match
61 - 2020-12-08327Rampage5Heat6WSommaire du Match
64 - 2020-12-11340Heat6Eagles5WSommaire du Match
66 - 2020-12-13356Punishers1Heat4WSommaire du Match
71 - 2020-12-18376Little Stars5Heat6WSommaire du Match
73 - 2020-12-20386Heat6Rocket4WSommaire du Match
75 - 2020-12-22398Heat4Checkers2WSommaire du Match
76 - 2020-12-23405Sound Tigers2Heat3WXSommaire du Match
81 - 2020-12-28428Monsters5Heat6WSommaire du Match
83 - 2020-12-30440Heat3Phantoms5LSommaire du Match
85 - 2021-01-01452Crunch6Heat3LSommaire du Match
89 - 2021-01-05474Wolfpack4Heat5WXSommaire du Match
93 - 2021-01-09495Heat5Crunch7LSommaire du Match
94 - 2021-01-10503Senators6Heat5LXSommaire du Match
97 - 2021-01-13514Heat6Rampage7LXSommaire du Match
101 - 2021-01-17529Reign5Heat4LSommaire du Match
106 - 2021-01-22551Checkers6Heat2LSommaire du Match
108 - 2021-01-24559Heat4Little Stars7LSommaire du Match
111 - 2021-01-27577Bears6Heat5LXXSommaire du Match
113 - 2021-01-29592Heat4Monsters1WSommaire du Match
115 - 2021-01-31604Heat6Thunderbirds7LXSommaire du Match
116 - 2021-02-01608Comets3Heat6WSommaire du Match
119 - 2021-02-04622Heat5Bears4WSommaire du Match
121 - 2021-02-06633Little Stars6Heat5LXSommaire du Match
123 - 2021-02-08645Heat2Eagles6LSommaire du Match
125 - 2021-02-10655Heat2Influenza3LSommaire du Match
126 - 2021-02-11663Phantoms3Heat6WSommaire du Match
129 - 2021-02-14675Heat7Senators5WSommaire du Match
132 - 2021-02-17690Influenza7Heat6LXSommaire du Match
134 - 2021-02-19698Heat6Senators3WSommaire du Match
136 - 2021-02-21709Heat4Penguins5LSommaire du Match
137 - 2021-02-22718Penguins6Heat8WSommaire du Match
140 - 2021-02-25732Heat6Rocket5WXXSommaire du Match
142 - 2021-02-27744Thunderbirds6Heat7WXSommaire du Match
147 - 2021-03-04764Heat3Reign4LXSommaire du Match
148 - 2021-03-05770Bears3Heat6WSommaire du Match
152 - 2021-03-09790Heat5Penguins3WSommaire du Match
154 - 2021-03-11798Thunderbirds3Heat7WSommaire du Match
158 - 2021-03-15818Condors5Heat4LXSommaire du Match
160 - 2021-03-17827Heat5Condors3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
163 - 2021-03-20843Barracuda7Heat3LSommaire du Match
166 - 2021-03-23856Heat6Sound Tigers3WSommaire du Match
168 - 2021-03-25867Heat4Wolfpack2WSommaire du Match
169 - 2021-03-26875Condors3Heat5WSommaire du Match
173 - 2021-03-30892Heat5Punishers2WSommaire du Match
175 - 2021-04-01900Moose2Heat3WXXSommaire du Match
178 - 2021-04-04918Heat6Punishers2WSommaire du Match
180 - 2021-04-06926Eagles6Heat5LXXSommaire du Match
185 - 2021-04-11945Eagles1Heat3WSommaire du Match
187 - 2021-04-13960Heat4Comets1WSommaire du Match
189 - 2021-04-15969Heat6Wolfpack5WXSommaire du Match
191 - 2021-04-17977Griffins4Heat5WXSommaire du Match
194 - 2021-04-20997Devils3Heat2LSommaire du Match
195 - 2021-04-211002Heat7Comets2WSommaire du Match
197 - 2021-04-231011Heat2Barracuda3LXSommaire du Match
202 - 2021-04-281031Devils8Heat6LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance54,13427,652
Assistance PCT67.67%69.13%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2045 - 68.16% 71,358$2,854,320$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,024,713$ 2,155,000$ 2,020,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
10,512$ 2,212,271$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 14,415$ 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