Simulation Results: Jakarta International Championship

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Aaron Wilkin 0.01% 10000 501 11
Ahmad Baig 0.07% 1429 126 44
Ajeetesh Sandhu 0.06% 1667 111 115
Alfred Raja 0.00% 10000 1001 126
Almay Rayhan Yagutah 0.00% 10000 1501 136
Amadeus Susanto 0.00% 10000 1501 138
Anthony Kim 0.00% 10000 301 44
Atiruj Winaicharoenchai 0.17% 588 81 44
Austen Truslow 1.77% 56 41 77
Bjorn Hellgren 0.63% 159 81 50
Bowen Xiao 0.04% 2500 251 131
Brett Coletta 0.01% 10000 601 89
Brett Rankin 0.01% 10000 401 29
Chanat Sakulpolphaisan 0.01% 10000 751 99
Chapchai Nirat 0.11% 909 201 147
Charles Porter 0.55% 182 81 99
Charlie Lindh 0.12% 833 126 59
Charng-Tai Sudsom 0.03% 3333 301 44
Chase Koepka 0.07% 1429 251 99
Chieh-Po Lee 1.06% 94 51 11
Chonlatit Chuenboonngam 0.57% 175 101 33
Christopher Hickman 0.00% 10000 601 115
Daihan Lee 0.05% 2000 151 77
Danthai Boonma 1.06% 94 46 19
Darcy Brereton 0.00% 10000 251 89
David Horsey 0.43% 233 81 115
Denzel Ieremia 0.01% 10000 201 44
Dodge Kemmer 0.01% 10000 501 59
Dominic Foos 0.23% 435 126 126
Doyeob Mun 0.21% 476 111 3
Eduard Rousaud 0.00% 10000 301 112
Ekpharit Wu 0.03% 3333 201 99
Ervin Chang 0.03% 3333 201 50
Faisal Salhab 0.00% 10000 1501 134
Gabriel Hansel Hari 0.00% 10000 1501 76
Gaganjeet Bhullar 0.42% 238 51 19
George Kneiser 0.00% 10000 351 74
Gregory Foo 0.00% 10000 601 136
Gunn Charoenkul 0.23% 435 126 70
Guntaek Koh 0.22% 455 111 126
Guxin Chen 0.01% 10000 401 77
Hendri Nasim 0.00% 10000 1251 144
Hongtaek Kim 0.06% 1667 126 134
Itthipat Buranatanyarat 0.04% 2500 251 89
Jack Buchanan 0.03% 3333 176 115
Jack Thompson 0.00% 10000 251 77
Jaco Ahlers 0.59% 169 67 19
Jaewoong Eom 0.01% 10000 226 64
Jake McLeod 0.04% 2500 91 89
Jakkanat Inmee 0.00% 10000 301 50
James Piot 1.00% 100 81 50
Jazz Janewattananond 1.26% 79 51 50
Jbe Kruger 0.02% 5000 201 112
Jediah Morgan 0.11% 909 101 66
Jeunghun Wang 1.60% 63 29 33
Jinichiro Kozuma 1.11% 90 51 77
Joel Stalter 0.01% 10000 351 147
John Catlin 2.86% 35 23 89
John Lyras 0.04% 2500 201 89
Jonathan Wijono 0.00% 10000 401 66
Jose Toledo 0.10% 1000 226 33
Julien Sale 1.41% 71 81 0.20% 70 -0.2 Star Sports: 80/1, 6pl, 1/5
Junghwan Lee 0.73% 137 101 19
Justin Quiban 0.03% 3333 151 66
Karandeep Kochhar 0.12% 833 251 99
Kazuki Higa 6.02% 17 19 0.80% 33 -0.8 Bet365: 18/1, 5pl, 1/4
Kelvin Si 0.00% 10000 301 77
Kenneth Sutianto 0.00% 10000 1501 145
Kevin Akbar 0.00% 10000 601 29
Kevin Yuan 0.72% 139 34 89
Khaled Attieh 0.00% 10000 2001 138
Khalin H. Joshi 0.11% 909 226 77
Kieran Vincent 0.76% 132 61 3
Kyle Stanley 0.00% 10000 601 89
Kyungnam Kang 0.30% 333 151 99
Lawry Flynn 0.00% 10000 601 74
Luke Schniederjans 0.00% 10000 176 33
Manav Shah 0.01% 10000 301 66
Marcus Fraser 0.00% 10000 1501 147
Marcus Lim 0.00% 10000 251 64
Mardan Mamat 0.00% 10000 1001 99
Matt Killen 0.06% 1667 176 50
Matthew Cheung 0.06% 1667 201 115
Maverick Antcliff 0.46% 217 101 11
Maximilian Rottluff 0.91% 110 61 11
Micah Lauren Shin 1.44% 69 81 0.20% 33 -0.2 Star Sports: 80/1, 6pl, 1/5
Miguel Carballo 0.01% 10000 351 50
Miguel Tabuena 2.71% 37 41 0.30% 11 -0.3 Spreadex: 40/1, 6pl, 1/5
Minkyu Kim 0.27% 370 141 115
Naraajie E. Ramadhanputra 0.00% 10000 251 115
Newport Laparojkit 0.00% 10000 601 50
Nick Voke 0.42% 238 71 33
Nitithorn Thippong 0.01% 10000 251 99
Nopparat Panichphol 0.01% 10000 112
Ollie Schniederjans 0.55% 182 101 59
Pavit Tangkamolprasert 0.29% 345 91 3
Pawin Ingkhapradit 0.00% 10000 501 99
Peter Gunawan 0.00% 10000 1501 131
Poom Saksansin 0.73% 137 36 3
Poosit Supupramai 0.31% 323 151 99
Prom Meesawat 0.04% 2500 251 33
Rahil Gangjee 0.00% 10000 601 77
Rashid Khan 0.01% 10000 601 138
Rattanon Wannasrichan 6.12% 16 23 1.90% 33 -1.9 Bet365: 22/1, 5pl, 1/4
Renato Paratore 0.50% 200 61 29
Richard T. Lee 8.37% 12 17 2.60% 19 -2.6 Star Sports: 16/1, 6pl, 1/5
Roberto Lebrija 0.02% 5000 401 11
Ryan Peake 0.04% 2500 251 115
S. Chikkarangappa 0.01% 10000 751 70
S.S.P. Chawrasia 0.01% 10000 601 131
Sadom Kaewkanjana 7.25% 14 21 2.60% 3 2.08 Bet365: 20/1, 5pl, 1/4
Sampson Zheng 1.17% 85 19
Sangmoon Bae 0.10% 1000 226 44
Santiago De la Fuente 0.98% 102 67 126
Sarit Suwannarut 2.53% 40 41 0.10% 11 -0.1 Boyle Sports: 40/1, 6pl, 1/5
Sarut Vongchaisit 0.02% 5000 301 33
Scott Hend 0.26% 385 101 59
Scott Vincent 10.47% 9.6 15 4.10% 2 5.125 Bet365: 14/1, 5pl, 1/4
Sean Ramos 0.00% 10000 351 19
Settee Prakongvech 0.04% 2500 201 99
Seungsu Han 0.03% 3333 1001 77
Shahriffuddin Ariffin 0.13% 769 201 77
Shih-Chang Chan 0.03% 3333 401 99
Shiv Kapur 0.01% 10000 351 147
Siddikur Rahman 0.06% 1667 226 63
Sihwan Kim 0.02% 5000 401 77
Soomin Lee 0.00% 10000 601 73
Stefano Mazzoli 1.36% 74 51 8
Steve Lewton 0.81% 123 71 8
Suradit Yongcharoenchai 0.08% 1250 126 126
Suteepat Prateeptienchai 6.63% 15 21 2.00% 8 -2 Boyle Sports: 20/1, 6pl, 1/5
Takumi Murakami 0.00% 10000 601 146
Tanapat Pichaikool 0.03% 3333 201 19
Taufik Sosilo 0.00% 10000 1251 141
Todd Sinnott 0.02% 5000 201 89
Tomoyo Ikemura 0.67% 149 56 19
Travis Smyth 12.78% 7.8 19 7.90% 11 -7.9 Bet365: 18/1, 5pl, 1/4
Varanyu Rattanaphiboonkij 0.00% 10000 501 115
Viraj Madappa 0.01% 10000 301 50
Wade Ormsby 0.05% 2000 201 1
Wei-Chih Lu 0.00% 10000 601 99
Wei-Hsuan Wang 2.67% 37 23 19
Wei-Lun Chang 0.16% 625 126 33
Witchayapat Sinsrang 0.00% 10000 601 77
Yanwei Liu 0.29% 345 111 89
Yeongsu Kim 0.12% 833 226 115
Yung-Hua Liu 0.09% 1111 126 29
Yuvraj Sandhu 0.43% 233 71 141
Yuxin Lin 0.02% 5000 601 141
Zhengkai Bai 0.00% 10000 301 115

The data in the above table is as follows:

The Top3 Plays table highlights the three advised each-way plays in the win and FRL markets. Each play is of equal stake with a total of 6pts in both the win and FRL markets.

The TT Win Probabilities displayed above are the result of a Monte Carlo simulation of each round of a tournament, using individual player inputs and a probability distribution. This method is particularly useful in golf given the number of players in a tournament and the complex process within modelling player scores.

To determine the number of replications R, this is typically set at 10 / e2, where e is the relative error in the bias assessment (precision measure). With 100,000 replications, e falls to less than 1%, which is the target relative error.

This table will be populated with the simulation results as soon as there are sufficient win odds available to advise plays. The FRL probabilities and advised plays will not appear publication of tee-times for events with split rd1 tee-times.

While TT Win Probabilities will be provided for all markets available via the buttons above the table, each-way plays will only be advised for win and FRL markets.

TT Win Probabilities (including results) are available for all past events via the 'Archives' here.

Full P/L breakdown per market and per event since 2024 is available here.

Odds
This week's odds

Betfair: PGA Tour

Betfair: DP World Tour


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