Monsters

GP: 28 | W: 7 | L: 21 | OTL: 0 | P: 14
GF: 100 | GA: 181 | PP%: 27.62% | PK%: 47.77%
DG: Phil Simard | Morale : 43 | Moyenne d'Équipe : 63
Prochain matchs #361 vs Crunch
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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
1Joseph BlandisiXX100.005846646071597860676258605853524857650
2Nicholas BaptisteX100.006143757075708569504660596451516657620
3Julien GauthierX100.007242736087599456505460606050504457610
4Jakub JerabekX100.006242837869677477305465706451513757670
5Ben HarpurX100.007144805990707861306061706152516057660
6Brendan GuhleX100.005842756375658560306050635850507257620
7Timothy Liljegren (R)X100.005642745069537356306051605150504557580
Rayé
MOYENNE D'ÉQUIPE100.00634375637763816341575863595151535763
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
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


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 Salaire 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
Ben HarpurMonsters (CLB)D221995-01-12No222 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$No750,000$Lien
Brendan GuhleMonsters (CLB)D201997-07-29No196 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$No750,000$Lien
Jakub JerabekMonsters (CLB)D261991-05-12No200 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Joseph BlandisiMonsters (CLB)C/LW231994-07-18No182 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$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
721.43203 Lbs6 ft21.29791,071$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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
1Admirals20200000414-100000000000020200000414-1000.000481200124541227148202198275352241900.00%6516.67%014238736.69%19251137.57%26461542.93%562333656262461208
2Bears312000001217-52110000076110100000511-620.3331224360012454126114820219828939263512216.67%13930.77%114238736.69%19251137.57%26461542.93%562333656262461208
3Bruins11000000541110000005410000000000021.000581300124541220148202198231106114125.00%4175.00%014238736.69%19251137.57%26461542.93%562333656262461208
4Condors10100000211-910100000211-90000000000000.0002460012454122014820219825111101111100.00%5340.00%014238736.69%19251137.57%26461542.93%562333656262461208
5Crunch1010000024-2000000000001010000024-200.0002460012454122614820219821915812300.00%4175.00%014238736.69%19251137.57%26461542.93%562333656262461208
6Devils20200000513-81010000025-31010000038-500.00051015001245412421482021982682422206116.67%11736.36%014238736.69%19251137.57%26461542.93%562333656262461208
7Gulls10001000651000000000001000100065121.0006121800124541219148202198227141295120.00%6350.00%014238736.69%19251137.57%26461542.93%562333656262461208
8Heat1010000038-5000000000001010000038-500.0003690012454121414820219822651813200.00%9544.44%114238736.69%19251137.57%26461542.93%562333656262461208
9Marlies1010000005-51010000005-50000000000000.00000000124541221148202198235131418500.00%6350.00%014238736.69%19251137.57%26461542.93%562333656262461208
10Penguins3210000015141211000001112-11100000042240.6671528430012454127814820219828040323210660.00%16850.00%014238736.69%19251137.57%26461542.93%562333656262461208
11Phantoms30300000822-1420200000516-111010000036-300.000816240012454124114820219821425130295240.00%15940.00%114238736.69%19251137.57%26461542.93%562333656262461208
12Rampages20200000714-71010000037-41010000047-300.000714210012454123814820219826626321812216.67%16381.25%114238736.69%19251137.57%26461542.93%562333656262461208
13Rocket10001000541000000000001000100054121.00057120012454121914820219822556196466.67%3166.67%014238736.69%19251137.57%26461542.93%562333656262461208
14Senateurs1010000027-5000000000001010000027-500.00024600124541211148202198234121217100.00%6266.67%014238736.69%19251137.57%26461542.93%562333656262461208
15Sound Tigers413000002027-7312000001518-31010000059-420.25020395900124541288148202198214049675221838.10%311938.71%014238736.69%19251137.57%26461542.93%562333656262461208
16Stars10100000412-810100000412-80000000000000.000481200124541225148202198249710133133.33%6350.00%014238736.69%19251137.57%26461542.93%562333656262461208
Total2852102000100181-8115411000005496-4213110020004685-39140.25010019229200124541255014820219829573563273501052927.62%1578247.77%414238736.69%19251137.57%26461542.93%562333656262461208
_Since Last GM Reset2852102000100181-8115411000005496-4213110020004685-39140.25010019229200124541255014820219829573563273501052927.62%1578247.77%414238736.69%19251137.57%26461542.93%562333656262461208
_Vs Conference205140100074117-431248000004566-21816010002951-22120.300741402140012454124071482021982663258223245732432.88%1096044.95%214238736.69%19251137.57%26461542.93%562333656262461208
_Vs Division15411000006093-331037000004057-17514000002036-1680.267601171770012454123101482021982519203177168541935.19%865239.53%214238736.69%19251137.57%26461542.93%562333656262461208

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2814L110019229255095735632735000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
285212000100181
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1541100005496
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1311020004685
Derniers 10 Matchs
WLOTWOTL SOWSOL
082000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1052927.62%1578247.77%4
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
14820219821245412
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
14238736.69%19251137.57%26461542.93%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
562333656262461208


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 - 2019-01-03361Monsters-Crunch-
88 - 2019-01-04368Blacknight-Monsters-
93 - 2019-01-09391Bears-Monsters-
96 - 2019-01-12406Monsters-Devils-
98 - 2019-01-14412Monsters-Sound Tigers-
99 - 2019-01-15417Moose-Monsters-
102 - 2019-01-18428Monsters-Condors-
105 - 2019-01-21439Icedogs-Monsters-
109 - 2019-01-25461Senateurs-Monsters-
111 - 2019-01-27467Monsters-Senateurs-
116 - 2019-02-01485Penguins-Monsters-
118 - 2019-02-03498Monsters-Barracuda-
120 - 2019-02-05503Monsters-Penguins-
124 - 2019-02-09515Bruins-Monsters-
126 - 2019-02-11522Monsters-Moose-
129 - 2019-02-14535Wolves-Monsters-
131 - 2019-02-16548Monsters-Blacknight-
133 - 2019-02-18557Monsters-Stars-
134 - 2019-02-19563Phantoms-Monsters-
138 - 2019-02-23581Rocket-Monsters-
141 - 2019-02-26594Monsters-Phantoms-
145 - 2019-03-02608Gulls-Monsters-
149 - 2019-03-06630Senateurs-Monsters-
150 - 2019-03-07639Monsters-Bruins-
153 - 2019-03-10652Bears-Monsters-
155 - 2019-03-12664Monsters-Bears-
157 - 2019-03-14672Monsters-Devils-
160 - 2019-03-17680Reigh-Monsters-
162 - 2019-03-19691Monsters-Rocket-
164 - 2019-03-21702Barracuda-Monsters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25721Monsters-Marlies-
170 - 2019-03-27727Marlies-Monsters-
174 - 2019-03-31742Monsters-Phantoms-
177 - 2019-04-03751Heat-Monsters-
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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
302,568$ 553,750$ 553,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 196,224$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 3,602$ 551,106$




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
22852102000100181-8115411000005496-4213110020004685-391410019229200124541255014820219829573563273501052927.62%1578247.77%414238736.69%19251137.57%26461542.93%562333656262461208
Total Saison Régulière2852102000100181-8115411000005496-4213110020004685-391410019229200124541255014820219829573563273501052927.62%1578247.77%414238736.69%19251137.57%26461542.93%562333656262461208