Monsters

GP: 62 | W: 19 | L: 42 | OTL: 1 | P: 39
GF: 244 | GA: 397 | PP%: 32.88% | PK%: 42.47%
DG: Mick St-Amour | Morale : 39 | Moyenne d'Équipe : 63
Prochain matchs #767 vs Wolves
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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
1Nicholas BaptisteX100.006143757075708569504660596451516666620
2Julien GauthierX100.007242736087599456505460606050504466610
3Jakub JerabekX100.006242837869677477305465706451513766670
4Ben HarpurX100.007144805990707861306061706152516066660
5Brendan GuhleX100.005842756375658560306050635850507266620
6Timothy Liljegren (R)X100.005642745069537356306051605150504566580
Rayé
MOYENNE D'ÉQUIPE100.00634377637864826337565864605151546663
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peeters78847785736276can571300,000$


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
1Jakub JerabekMonsters (CLB)D21891405015856.67%25025.141672300008100.00%013003.5800000010
2Nicholas BaptisteMonsters (CLB)RW2538-120542261622.73%24924.62336970001400100.00%240013.2500000110
3Julien GauthierMonsters (CLB)RW214510052115159.09%04221.2611211000040066.67%301002.3500000100
4Ben HarpurMonsters (CLB)D21341006163316.67%34924.951011300017000.00%016001.6000000001
5Timothy LiljegrenMonsters (CLB)D2112-2001232133.33%03819.131121400003000.00%004001.0500000000
6Brendan GuhleMonsters (CLB)D2011-240046330.00%13819.100110500003000.00%001000.5200000000
Stats d'équipe Total ou en Moyenne1292029-2100221363274314.29%826822.377121914260002311080.00%5615012.1600000221
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Ben HarpurMonsters (CLB)D221995-01-12No222 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Brendan GuhleMonsters (CLB)D201997-07-29No196 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jakub JerabekMonsters (CLB)D261991-05-12No200 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Julien GauthierMonsters (CLB)RW191997-10-15No225 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Nicholas BaptisteMonsters (CLB)RW221995-08-04No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm787,500$0$0$NoLien
Timothy LiljegrenMonsters (CLB)D181999-04-30Yes190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
621.17206 Lbs6 ft21.33797,917$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicholas Baptiste40122
2Julien Gauthier30122
320122
4Nicholas BaptisteJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub JerabekBen Harpur40122
2Brendan GuhleTimothy Liljegren30122
320122
4Jakub JerabekBen Harpur10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicholas Baptiste60122
2Julien Gauthier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub JerabekBen Harpur60122
2Brendan GuhleTimothy Liljegren40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nicholas Baptiste60122
2Julien Gauthier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub JerabekBen Harpur60122
2Brendan GuhleTimothy Liljegren40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jakub JerabekBen Harpur60122
2Nicholas Baptiste40122Brendan GuhleTimothy Liljegren40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nicholas Baptiste60122
2Julien Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub JerabekBen Harpur60122
2Brendan GuhleTimothy Liljegren40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicholas BaptisteJakub JerabekBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicholas BaptisteJakub JerabekBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Julien Gauthier, , Nicholas BaptisteJulien Gauthier, Nicholas Baptiste
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Guhle, Timothy Liljegren, Jakub JerabekBrendan GuhleTimothy Liljegren, Jakub Jerabek
Tirs de Pénalité
, Nicholas Baptiste, Julien Gauthier, ,
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals20200000414-100000000000020200000414-1000.00048120031102104727352477523875352241900.00%6516.67%034286539.54%442109240.48%552136140.56%127576514475691005463
2Barracuda20101000811-31010000037-41000100054120.500816240031102104749352477523831162024300.00%10640.00%034286539.54%442109240.48%552136140.56%127576514475691005463
3Bears614001002133-12412001001215-320200000918-930.25021406100311021047126352477523814757447622731.82%221340.91%134286539.54%442109240.48%552136140.56%127576514475691005463
4Blacknight2110000010821010000025-31100000083520.50010182800311021047383524775238348102612866.67%5420.00%034286539.54%442109240.48%552136140.56%127576514475691005463
5Bruins32001000181082200000014771000100043161.000182947003110210476435247752387424224016425.00%12375.00%134286539.54%442109240.48%552136140.56%127576514475691005463
6Condors20200000720-1310100000211-91010000059-400.00071320003110210474935247752381022232227457.14%161037.50%134286539.54%442109240.48%552136140.56%127576514475691005463
7Crunch20200000610-40000000000020200000610-400.0006121800311021047433524775238412120256116.67%10370.00%034286539.54%442109240.48%552136140.56%127576514475691005463
8Devils402020001622-61010000025-3301020001417-340.50016304600311021047101352477523815762404012433.33%201430.00%134286539.54%442109240.48%552136140.56%127576514475691005463
9Gulls2100100015105110000009541000100065141.00015304500311021047403524775238452124207114.29%12650.00%134286539.54%442109240.48%552136140.56%127576514475691005463
10Heat20200000916-71010000068-21010000038-500.0009182700311021047483524775238531434323133.33%171041.18%134286539.54%442109240.48%552136140.56%127576514475691005463
11Icedogs11000000321110000003210000000000021.000358003110210471835247752381768172150.00%4175.00%034286539.54%442109240.48%552136140.56%127576514475691005463
12Marlies30300000322-1920200000214-121010000018-700.0003690031102104767352477523812943363710110.00%171135.29%034286539.54%442109240.48%552136140.56%127576514475691005463
13Moose20200000918-91010000047-310100000511-600.0009182700311021047453524775238661820255120.00%10730.00%234286539.54%442109240.48%552136140.56%127576514475691005463
14Penguins522010002424031101000161602110000088060.60024446800311021047122352477523815466465417741.18%231343.48%034286539.54%442109240.48%552136140.56%127576514475691005463
15Phantoms624000003143-12312000001423-9312000001720-340.3333158890031102104713435247752382851056477191157.89%322134.38%134286539.54%442109240.48%552136140.56%127576514475691005463
16Rampages20200000714-71010000037-41010000047-300.00071421003110210473835247752386626321812216.67%16381.25%134286539.54%442109240.48%552136140.56%127576514475691005463
17Reigh1010000047-31010000047-30000000000000.00048120031102104720352477523825812104250.00%6516.67%034286539.54%442109240.48%552136140.56%127576514475691005463
18Rocket302010001219-71010000026-4201010001013-320.333122032003110210478335247752389130324013753.85%16943.75%034286539.54%442109240.48%552136140.56%127576514475691005463
19Senateurs40400000438-3420200000118-1720200000320-1700.000481200311021047643524775238191756455700.00%271737.04%034286539.54%442109240.48%552136140.56%127576514475691005463
20Sound Tigers514000002231-9312000001518-320200000713-620.20022436500311021047119352477523816351716426830.77%332136.36%034286539.54%442109240.48%552136140.56%127576514475691005463
21Stars20200000523-1810100000412-810100000111-1000.00051015003110210474735247752381081924266233.33%13930.77%034286539.54%442109240.48%552136140.56%127576514475691005463
Total62124207100244397-1533292101100124195-713032106000120202-82390.315244460704003110210471360352477523820897446877832227332.88%33219142.47%1134286539.54%442109240.48%552136140.56%127576514475691005463
23Wolves11000000624110000006240000000000021.0006121800311021047183524775238351710144125.00%50100.00%134286539.54%442109240.48%552136140.56%127576514475691005463
_Since Last GM Reset62124207100244397-1533292101100124195-713032106000120202-82390.315244460704003110210471360352477523820897446877832227332.88%33219142.47%1134286539.54%442109240.48%552136140.56%127576514475691005463
_Vs Conference4182705100157252-95216130110078122-44202140400079130-51270.32915729044700311021047923352477523814325344395081485033.78%21212541.04%434286539.54%442109240.48%552136140.56%127576514475691005463
_Vs Division2661603100114153-391448011005977-181228020005576-21190.365114215329003110210476023524775238906341265311963738.54%1308236.92%334286539.54%442109240.48%552136140.56%127576514475691005463

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6239L12444607041360208974468778300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6212427100244397
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
329211100124195
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
303216000120202
Derniers 10 Matchs
WLOTWOTL SOWSOL
171100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2227332.88%33219142.47%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
3524775238311021047
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
34286539.54%442109240.48%552136140.56%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
127576514475691005463


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-10-106Monsters3Devils8LSommaire du Match
4 - 2018-10-1214Bears2Monsters4WSommaire du Match
7 - 2018-10-1529Monsters3Phantoms6LSommaire du Match
9 - 2018-10-1732Monsters5Sound Tigers9LSommaire du Match
14 - 2018-10-2247Bears4Monsters3LSommaire du Match
18 - 2018-10-2660Monsters4Penguins2WSommaire du Match
20 - 2018-10-2868Phantoms6Monsters3LSommaire du Match
23 - 2018-10-3186Devils5Monsters2LSommaire du Match
27 - 2018-11-04103Penguins4Monsters6WSommaire du Match
30 - 2018-11-07123Bruins4Monsters5WSommaire du Match
31 - 2018-11-08129Monsters5Bears11LSommaire du Match
35 - 2018-11-12146Monsters3Admirals10LSommaire du Match
37 - 2018-11-14155Sound Tigers7Monsters4LSommaire du Match
40 - 2018-11-17172Marlies5Monsters0LSommaire du Match
42 - 2018-11-19178Monsters2Senateurs7LSommaire du Match
47 - 2018-11-24195Monsters2Crunch4LSommaire du Match
49 - 2018-11-26206Sound Tigers3Monsters6WSommaire du Match
52 - 2018-11-29217Monsters3Heat8LSommaire du Match
54 - 2018-12-01222Monsters6Gulls5WXSommaire du Match
56 - 2018-12-03230Condors11Monsters2LSommaire du Match
60 - 2018-12-07245Monsters1Admirals4LSommaire du Match
64 - 2018-12-11257Penguins8Monsters5LSommaire du Match
68 - 2018-12-15274Rampages7Monsters3LSommaire du Match
70 - 2018-12-17285Monsters4Rampages7LSommaire du Match
74 - 2018-12-21302Sound Tigers8Monsters5LSommaire du Match
77 - 2018-12-24316Stars12Monsters4LSommaire du Match
82 - 2018-12-29338Monsters5Rocket4WXSommaire du Match
83 - 2018-12-30346Phantoms10Monsters2LSommaire du Match
87 - 2019-01-03361Monsters4Crunch6LSommaire du Match
88 - 2019-01-04368Blacknight5Monsters2LSommaire du Match
93 - 2019-01-09391Bears5Monsters2LSommaire du Match
96 - 2019-01-12406Monsters5Devils4WXSommaire du Match
98 - 2019-01-14412Monsters2Sound Tigers4LSommaire du Match
99 - 2019-01-15417Moose7Monsters4LSommaire du Match
102 - 2019-01-18428Monsters5Condors9LSommaire du Match
105 - 2019-01-21439Icedogs2Monsters3WSommaire du Match
109 - 2019-01-25461Senateurs11Monsters1LSommaire du Match
111 - 2019-01-27467Monsters1Senateurs13LSommaire du Match
116 - 2019-02-01485Penguins4Monsters5WXSommaire du Match
118 - 2019-02-03498Monsters5Barracuda4WXSommaire du Match
120 - 2019-02-05503Monsters4Penguins6LSommaire du Match
124 - 2019-02-09515Bruins3Monsters9WSommaire du Match
126 - 2019-02-11522Monsters5Moose11LSommaire du Match
129 - 2019-02-14535Wolves2Monsters6WSommaire du Match
131 - 2019-02-16548Monsters8Blacknight3WSommaire du Match
133 - 2019-02-18557Monsters1Stars11LSommaire du Match
134 - 2019-02-19563Phantoms7Monsters9WSommaire du Match
138 - 2019-02-23581Rocket6Monsters2LSommaire du Match
141 - 2019-02-26594Monsters5Phantoms8LSommaire du Match
145 - 2019-03-02608Gulls5Monsters9WSommaire du Match
149 - 2019-03-06630Senateurs7Monsters0LSommaire du Match
150 - 2019-03-07639Monsters4Bruins3WXSommaire du Match
153 - 2019-03-10652Bears4Monsters3LXSommaire du Match
155 - 2019-03-12664Monsters4Bears7LSommaire du Match
157 - 2019-03-14672Monsters6Devils5WXSommaire du Match
160 - 2019-03-17680Reigh7Monsters4LSommaire du Match
162 - 2019-03-19691Monsters5Rocket9LSommaire du Match
164 - 2019-03-21702Barracuda7Monsters3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25721Monsters1Marlies8LSommaire du Match
170 - 2019-03-27727Marlies9Monsters2LSommaire du Match
174 - 2019-03-31742Monsters9Phantoms6WSommaire du Match
177 - 2019-04-03751Heat8Monsters6LSommaire du Match
182 - 2019-04-08767Monsters-Wolves-
183 - 2019-04-09775Admirals-Monsters-
186 - 2019-04-12787Monsters-Reigh-
188 - 2019-04-14796Monsters-Thunderbird-
190 - 2019-04-16802Devils-Monsters-
193 - 2019-04-19817Monsters-Thunderbird-
195 - 2019-04-21825Rocket-Monsters-
197 - 2019-04-23831Monsters-Penguins-
201 - 2019-04-27844Monsters-Bears-
203 - 2019-04-29855Devils-Monsters-
206 - 2019-05-02866Monsters-Marlies-
207 - 2019-05-03874Monsters-Bruins-
210 - 2019-05-06885Heat-Monsters-
214 - 2019-05-10901Crunch-Monsters-
215 - 2019-05-11902Monsters-Sound Tigers-
220 - 2019-05-16926Thunderbird-Monsters-
225 - 2019-05-21945Crunch-Monsters-
228 - 2019-05-24955Monsters-Icedogs-
233 - 2019-05-29973Thunderbird-Monsters-
235 - 2019-05-31978Monsters-Icedogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
645,832$ 478,750$ 478,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 417,952$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 3,286$ 187,302$




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
262124207100244397-1533292101100124195-713032106000120202-8239244460704003110210471360352477523820897446877832227332.88%33219142.47%1134286539.54%442109240.48%552136140.56%127576514475691005463
Total Saison Régulière62124207100244397-1533292101100124195-713032106000120202-8239244460704003110210471360352477523820897446877832227332.88%33219142.47%1134286539.54%442109240.48%552136140.56%127576514475691005463