Reign

GP: 22 | W: 2 | L: 19 | OTL: 1 | P: 5
GF: 32 | GA: 105 | PP%: 8.42% | PK%: 84.15%
DG: Alexandre Lahaie | Morale : 39 | Moyenne d'Équipe : 58
Prochain matchs #412 vs Eagles
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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
1Maxim Mamin (R)X100.00825580747569686750606263556065156630
2Kalle KossilaX100.00685560736568696574616161555050156610
3Jordan SchroederX100.00625573766360616574606162555960156610
4Kerby RychelX100.00665558727972826250616260555050156610
5Danick MartelX100.00555572675859705750565760556674156580
6Cole BardreauX100.00585567637365695550555558557473156580
7Zach SillX100.00565568647469705550555555555555156570
8Mathieu Joseph (R)X100.00685576556569775850555855555050156560
9Casey BaileyX100.00565555555758585550555555556974156550
10Daniel Pribyl (R)X100.00565555555657575550555555557274156550
11Scott Glennie (R)X100.00565555555555555550555555555050156530
12Manuel Wiederer (R)X100.00565555555555555550555555555050156530
13Mark FayneX100.00595559615959795925595959558075156600
14James Wisniewski (R)X100.00555557605757565725575757557577156570
15Jesse GrahamX100.00565559605959585925595959555353135560
Rayé
MOYENNE D'ÉQUIPE100.0061556363636266594857585855616215558
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
1Anthony Peters100.0052656767606658615858556866156600
Rayé
MOYENNE D'ÉQUIPE100.005265676760665861585855686615660
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert74726377735274CAN485100,000$


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
1Jesse GrahamReign (Los)D19358-2750075413813177.89%3436519.262022029000021000.00%000000.4400000100
Stats d'équipe Total ou en Moyenne19358-2750075413813177.89%3436519.262022029000021000.00%000000.4400000100
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 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
Anthony PetersReign (Los)G261990-12-31No196 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Casey BaileyReign (Los)LW251991-10-27No195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Cole BardreauReign (Los)LW231993-07-22No194 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Danick MartelReign (Los)C221994-12-12No161 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Daniel PribylReign (Los)C241992-12-18Yes192 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
James WisniewskiReign (Los)D321984-02-21Yes203 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Jesse GrahamReign (Los)D221994-05-13No176 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Jordan SchroederReign (Los)LW261990-09-29No176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Kalle KossilaReign (Los)C231993-04-14No175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Kerby RychelReign (Los)LW221994-10-07No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Manuel WiedererReign (Los)C201996-11-21Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mark FayneReign (Los)D291987-05-14No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Mathieu JosephReign (Los)LW191997-02-09Yes172 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Maxim MaminReign (Los)C221995-01-13Yes198 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Scott GlennieReign (Los)RW251991-02-21Yes200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Zach SillReign (Los)LW281988-05-23No202 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1624.25190 Lbs6 ft02.81375,000$



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
1Admirals2020000018-71010000013-21010000005-500.000123101785234162155142380252431900.00%11190.91%014150627.87%19571827.16%9532329.41%31520577516623891
2Barracuda1010000016-5000000000001010000016-500.0001230017852161621551423291189300.00%2150.00%014150627.87%19571827.16%9532329.41%31520577516623891
3Condors20002000862100010004311000100043141.000814220017852661621551423109252942800.00%9188.89%014150627.87%19571827.16%9532329.41%31520577516623891
4Eagles20200000411-70000000000020200000411-700.0004812001785220162155142379122425600.00%11281.82%014150627.87%19571827.16%9532329.41%31520577516623891
5Griffins1010000013-2000000000001010000013-200.000123001785225162155142347111023600.00%50100.00%014150627.87%19571827.16%9532329.41%31520577516623891
6Gulls30200100311-82020000018-71000010023-110.16735800178524716215514238826143516212.50%70100.00%014150627.87%19571827.16%9532329.41%31520577516623891
7Heat50500000626-2020200000312-930300000314-1100.000611171017852111162155142322171411052428.33%17288.24%014150627.87%19571827.16%9532329.41%31520577516623891
8Roadrunners50500000627-2130300000417-1320200000210-800.000611170017852124162155142320960476915213.33%18666.67%014150627.87%19571827.16%9532329.41%31520577516623891
9Stars1010000027-51010000027-50000000000000.00023500178521916215514233084138225.00%20100.00%014150627.87%19571827.16%9532329.41%31520577516623891
Total220190210032105-731009010001550-3512010011001755-3850.114325890201785246216215514238922492013529588.42%821384.15%014150627.87%19571827.16%9532329.41%31520577516623891
_Since Last GM Reset220190210032105-731009010001550-3512010011001755-3850.114325890201785246216215514238922492013529588.42%821384.15%014150627.87%19571827.16%9532329.41%31520577516623891
_Vs Conference908001001044-3450500000525-2040300100519-1410.05610182800178521871621551423326976911334411.76%27774.07%014150627.87%19571827.16%9532329.41%31520577516623891

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
225L432589046289224920135220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
22019210032105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100910001550
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1201011001755
Derniers 10 Matchs
WLOTWOTL SOWSOL
072100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
9588.42%821384.15%0
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
162155142317852
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
14150627.87%19571827.16%9532329.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
31520577516623891


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
3 - 2018-09-079Reign1Barracuda6LSommaire du Match
4 - 2018-09-0820Reign0Heat5LSommaire du Match
10 - 2018-09-1441Heat8Reign1LSommaire du Match
11 - 2018-09-1555Gulls4Reign1LSommaire du Match
15 - 2018-09-1968Admirals3Reign1LSommaire du Match
17 - 2018-09-2179Reign2Eagles4LSommaire du Match
18 - 2018-09-2293Reign2Eagles7LSommaire du Match
24 - 2018-09-28116Roadrunners7Reign1LSommaire du Match
31 - 2018-10-05151Stars7Reign2LSommaire du Match
32 - 2018-10-06164Gulls4Reign0LSommaire du Match
38 - 2018-10-12191Reign1Heat6LSommaire du Match
40 - 2018-10-14210Heat4Reign2LSommaire du Match
45 - 2018-10-19226Reign1Griffins3LSommaire du Match
46 - 2018-10-20242Reign0Admirals5LSommaire du Match
50 - 2018-10-24263Reign2Gulls3LXSommaire du Match
52 - 2018-10-26275Condors3Reign4WXSommaire du Match
54 - 2018-10-28296Roadrunners5Reign2LSommaire du Match
58 - 2018-11-01307Reign4Condors3WXSommaire du Match
59 - 2018-11-02317Reign2Heat3LSommaire du Match
61 - 2018-11-04338Roadrunners5Reign1LSommaire du Match
66 - 2018-11-09359Reign2Roadrunners4LSommaire du Match
67 - 2018-11-10374Reign0Roadrunners6LSommaire du Match
74 - 2018-11-17412Eagles-Reign-
75 - 2018-11-18421Barracuda-Reign-
80 - 2018-11-23447Reign-Gulls-
81 - 2018-11-24455Gulls-Reign-
87 - 2018-11-30484Reign-Rampage-
88 - 2018-12-01496Reign-Stars-
90 - 2018-12-03510Condors-Reign-
95 - 2018-12-08542Barracuda-Reign-
96 - 2018-12-09551Gulls-Reign-
99 - 2018-12-12558Reign-Barracuda-
101 - 2018-12-14573Reign-Barracuda-
102 - 2018-12-15585Reign-Heat-
108 - 2018-12-21612Reign-Wild-
109 - 2018-12-22623Reign-Wild-
111 - 2018-12-24641Gulls-Reign-
115 - 2018-12-28667Eagles-Reign-
116 - 2018-12-29681Eagles-Reign-
122 - 2019-01-04695Reign-Gulls-
123 - 2019-01-05708Condors-Reign-
127 - 2019-01-09722Reign-Gulls-
129 - 2019-01-11733Gulls-Reign-
131 - 2019-01-13756Barracuda-Reign-
136 - 2019-01-18778Condors-Reign-
137 - 2019-01-19792Reign-Condors-
141 - 2019-01-23812Heat-Reign-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25827Rampage-Reign-
144 - 2019-01-26837Eagles-Reign-
150 - 2019-02-01866Barracuda-Reign-
151 - 2019-02-02878Wild-Reign-
152 - 2019-02-03887Wild-Reign-
157 - 2019-02-08907Reign-Roadrunners-
158 - 2019-02-09921Reign-Roadrunners-
161 - 2019-02-12933Reign-Eagles-
162 - 2019-02-13941Reign-Eagles-
165 - 2019-02-16966Reign-Condors-
171 - 2019-02-22993Condors-Reign-
172 - 2019-02-231006Reign-Gulls-
176 - 2019-02-271025Reign-Condors-
178 - 2019-03-011037Reign-Barracuda-
180 - 2019-03-031057Heat-Reign-
183 - 2019-03-061070Griffins-Reign-
185 - 2019-03-081082Reign-Gulls-
187 - 2019-03-101103Roadrunners-Reign-
190 - 2019-03-131113Reign-Heat-
192 - 2019-03-151126Heat-Reign-
193 - 2019-03-161140Reign-Condors-



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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
57,777$ 60,000$ 80,278$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 23,257$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 825$ 104,775$




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
13220190210032105-731009010001550-3512010011001755-385325890201785246216215514238922492013529588.42%821384.15%014150627.87%19571827.16%9532329.41%31520577516623891
Total Saison Régulière220190210032105-731009010001550-3512010011001755-385325890201785246216215514238922492013529588.42%821384.15%014150627.87%19571827.16%9532329.41%31520577516623891