augost
0
Estimated Prizes
this month
£0
Estimated Prize money
this month
augost's Tips History
Rory McIlroy
1st Round Leader
50 WIN
@+2500
Lose
-50
Jon Rahm
1st Round Leader
50 WIN
@+700
Win
88
Hannah Green
50 WIN
@+450
Win
225
Curtis Luck
50 WIN
@+900
Lose
-50
Maja Chwalinska
Win Match
50 WIN
@-5000
Win
1
Linda Noskova
Win Match
50 WIN
@-181
Win
28
Jannik Sinner
Win Match
50 WIN
@-1428
Win
4
Amanda Anisimova
Win Match
50 WIN
@-161
Lose
-50
Alejandro Davidovich Fokina
Win Match
50 WIN
@+110
Lose
-50
Emma Navarro
Win Match
50 WIN
@-303
Lose
-50
Alexander Zverev
Win Match
50 WIN
@-285
Win
17
Kaja Juvan
Win Match
50 WIN
@+175
Void
0
Kimberly Birrell
Win Match
50 WIN
@-200
Win
25
Elena Gabriela Ruse
Win Match
50 WIN
@+125
Lose
-50
Jasmine Paolini
Win Match
50 WIN
@-277
Lose
-50
Draw
50 WIN
@+300
Lose
-50
Ayr
50 WIN
@-124
Lose
-50
Buxton
50 WIN
@+225
Win
112
Fleetwood Town
50 WIN
@-120
Lose
-50
Hemel Hempstead
50 WIN
@-105
Win
47
Hereford
50 WIN
@-208
Win
24
Peterborough Sports
50 WIN
@+750
Lose
-50
Draw
50 WIN
@+229
Lose
-50
Draw
50 WIN
@+240
Lose
-50
Draw
50 WIN
@+245
Lose
-50
Draw
50 WIN
@+300
Lose
-50
Draw
50 WIN
@+425
Win
212
Draw
50 WIN
@+250
Lose
-50
Torquay
50 WIN
@-142
Win
35
Wealdstone
50 WIN
@+108
Win
54
Weston Super Mare
50 WIN
@+104
Win
52
Maidenhead Utd
50 WIN
@+275
Lose
-50
Wrexham
50 WIN
@-105
Lose
-50
Petra Marcinko
Win Match
50 WIN
@+175
Lose
-50
Lucrezia Stefanini
Win Match
50 WIN
@-102
Lose
-50
Emerson Jones
Win Match
50 WIN
@-188
Win
26
Felix Auger Aliassime
Win Match
50 WIN
@-142
Lose
-50
Aryna Sabalenka
Win Match
50 WIN
@-588
Win
9
Liverpool
50 WIN
@-133
Lose
-50
Draw
50 WIN
@+229
Lose
-50
Draw
50 WIN
@+279
Win
140
Barnet
50 WIN
@-124
Lose
-50
Peterborough
50 WIN
@+240
Lose
-50
Draw
50 WIN
@+259
Lose
-50
Draw
50 WIN
@+320
Win
160
Draw
50 WIN
@+220
Win
110
Draw
50 WIN
@+359
Lose
-50
Chesham
50 WIN
@+110
Win
55
Dorking
50 WIN
@-117
Win
43
Dundee Utd
50 WIN
@-499
Win
10
Draw
50 WIN
@+300
Lose
-50
Lincoln City
50 WIN
@-227
Win
22
Milton Keynes Dons
50 WIN
@-163
Lose
-50
Rochdale
50 WIN
@-129
Lose
-50
Salford City
50 WIN
@-249
Lose
-50
Stevenage
50 WIN
@-113
Win
44
Draw
50 WIN
@+250
Lose
-50
Istanbulspor
50 WIN
@+290
Lose
-50
Carlos Alcaraz
Win Match
50 WIN
@-3333
Win
1
Sinja Kraus
Win Match
50 WIN
@-312
Win
16
Milady Smart
Daily Racing
50 WIN
@SP
Lose
-50
Swindon Village
Daily Racing
50 WIN
@+250
Win
125
Railway Bell
Daily Racing
50 WIN
@+400
Lose
-50
Alina Charaeva
Win Match
50 WIN
@-188
Win
26
Whitney Osuigwe
Win Match
50 WIN
@-263
Win
19
Elena Rybakina
Win Match
50 WIN
@-1999
Win
3
Jarki
Daily Racing
50 WIN
@+400
Void
0
Giantsgrave
Daily Racing
50 WIN
@+150
Lose
-50
Tamara Korpatsch
Win Match
50 WIN
@-200
Lose
-50
Yasmine Mansouri
Win Match
50 WIN
@+175
Lose
-50
Noble Amber
Daily Racing
50 WIN
@+275
Void
0
Quebecois
Daily Racing
50 WIN
@-249
Lose
-50
Khrisma
Daily Racing
50 WIN
@+125
Win
62
Barbora Palicova
Win Match
50 WIN
@-249
Lose
-50
Teodora Kostovic
Win Match
50 WIN
@+110
Win
55
Draw
50 WIN
@+229
Lose
-50
Lady Pink
Daily Racing
50 WIN
@+350
Void
0
Macshadow Des Crai
Daily Racing
50 WIN
@+110
Lose
-50
Ugo Humbert
Win Match
50 WIN
@-149
Lose
-50
Zizou Bergs
Win Match
50 WIN
@-149
Win
34
Reve Du Fraisse
Daily Racing
50 WIN
@+187
Void
0
Francisca Jorge
Win Match
50 WIN
@+139
Win
70
Harmony Tan
Win Match
50 WIN
@-400
Void
0
Linda Noskova
Win Match
50 WIN
@+125
Lose
-50
Lucia Bronzetti
Win Match
50 WIN
@-208
Lose
-50
Anastasia Tikhonova
Win Match
50 WIN
@+125
Lose
-50
Yue Yuan
Win Match
50 WIN
@-277
Lose
-50
Risk Of Love
Daily Racing
50 WIN
@+400
Lose
-50
Jiri Lehecka
Win Match
50 WIN
@-175
Win
28
Karen Khachanov
Win Match
50 WIN
@-714
Win
7
Zhizhen Zhang
Win Match
50 WIN
@-124
Win
40
76 Igdir Belediyespor
50 WIN
@-666
Win
8
Tips are normally be settled by 12pm the day after the event took place.
Tips history contains the last 35 days tips.
Please note that this information is for informational purposes only and should not be relied upon as an indicator of a tipsters real life performance. The OLBG Tipster Competition is a simulation game and some of the rules and prices used by the tipsters may not always be available in the real world which can lead to misleading informaiton.
