Simulation Results: Delhi Challenge

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Aadil Bedi 0.01% 10000 1501 150
Abhinav Lohan 0.44% 227 151 65
Adri Arnaus 1.60% 63 41 22
Akshay Sharma 0.36% 278 276 33
Albert Boneta 1.34% 75 36 22
Alex Maguire 0.18% 556 201 72
Alexander George Frances 0.22% 455 81 97
Alexander Settemsdal 0.00% 10000 1001 11
Alfie Plant 0.22% 455 176 61
Amardeep Malik 0.03% 3333 501 88
Angad Cheema 0.23% 435 201 48
Anshul Kabthiyal 0.01% 10000 751 121
Arjun Prasad 0.30% 333 201 6
Arjun Sharma 0.04% 2500 501 65
Aron Zemmer 0.44% 227 251 33
Aryan Roopa Anand 0.01% 10000 1001 57
Ayden Knight 0.00% 10000 2501 140
Aymeric Laussot 0.10% 1000 201 109
Badal Hossain 0.05% 2000 501 97
Bastien Amat 0.13% 769 101 140
Ben Sigel 0.00% 10000 1001 88
Ben Stow 0.24% 417 176 72
Bradley Bawden 0.05% 2000 401 48
Callan Barrow 0.28% 357 151 56
Calum Fyfe 0.66% 152 71 72
Cedric Gugler 0.04% 2500 501 97
Chase Hanna 0.27% 370 276 72
Chiragh Kumar 0.00% 10000 1001 109
Christian Jacobsen 0.12% 833 251 97
Christofer Rahm 0.03% 3333 601 22
Clement Sordet 2.78% 36 29 61
Craig Howie 0.44% 227 126 72
Daan Huizing 3.44% 29 31 0.20% 53 -0.2 Ladbrokes: 30/1, 5pl, 1/4
Daniel Young 2.41% 41 36 57
Danny List 0.43% 233 151 15
David Law 3.49% 29 34 0.60% 97 -0.6 Bet365: 33/1, 5pl, 1/4
Davis Bryant 0.70% 143 81 6
Dhruv Sheoran 0.22% 455 201 146
Eddie Pepperell 10.79% 9.3 17 5.20% 97 -5.2 Bet365: 16/1, 5pl, 1/4
Enrico Di Nitto 0.03% 3333 501 121
Euan Walker 2.28% 44 34 19
Felix Mory 2.81% 36 31 72
Filippo Celli 1.81% 55 29 4
Frank Kennedy 0.18% 556 251 140
Gaurav Pratap Singh 0.09% 1111 251 97
George Bloor 1.30% 77 41 72
Gregorio De Leo 1.84% 54 34 19
Harendra Gupta 0.05% 2000 501 72
Harshjeet Singh Sethie 0.00% 10000 4001 15
Hayden Hopewell 0.83% 120 81 42
Haydn Barron 0.15% 667 176 150
Herman Wibe Sekne 0.12% 833 101 63
Honey Baisoya 0.14% 714 401 48
I.L. Aalaap 0.01% 10000 1001 97
Ilirian Zalli 0.01% 10000 501 72
Jairaj Singh Sandhu 0.03% 3333 751 97
Jamal Hossain 0.37% 270 176 117
James Ashfield 0.20% 500 101 22
Jamie Rutherford 4.23% 24 23 15
Jean Bekirian 0.23% 435 111 88
Jeppe Kristian Andersen 1.22% 82 67 33
Jeremy Freiburghaus 0.13% 769 301 88
Jiri Zuska 0.25% 400 126 131
Joachim B. Hansen 0.01% 10000 1001 148
John Axelsen 0.69% 145 81 121
Joshua Berry 1.20% 83 41 2
Joshua Grenville-Wood 0.29% 345 151 131
Julian Perico 0.01% 10000 601 6
K. Prabagaran 0.00% 10000 2501 109
Kapil Kumar 0.01% 10000 501 121
Karan Pratap Singh 0.00% 10000 1501 144
Karandeep Kochhar 1.82% 55 101 0.80% 109 -0.8 Skybet: 100/1, 6pl, 1/5
Kartik Sharma 0.13% 769 301 69
Khalin H. Joshi 0.46% 217 251 0.10% 88 -0.1 Spreadex: 250/1, 6pl, 1/5
Kshitij Naveed Kaul 0.34% 294 251 15
Lars Van Meijel 1.11% 90 67 3
Lauri Ruuska 0.88% 114 81 72
Liam Nolan 1.10% 91 101 0.10% 72 -0.1 Unibet: 100/1, 5pl, 1/4
Lorenzo Scalise 0.39% 256 176 88
Lucas Vacarisas 1.09% 92 71 72
Lukas Nemecz 4.58% 22 19 11
M. Dharma 0.78% 128 176 0.20% 109 -0.2 Bet365: 175/1, 5pl, 1/4
Mani Ram 0.01% 10000 501 147
Manu Gandas 0.42% 238 151 117
Marc Hammer 0.22% 455 276 72
Martin Simonsen 2.30% 43 51 0.30% 48 -0.3 Ladbrokes: 50/1, 5pl, 1/4
Matt Oshrine 0.33% 303 176 121
Matt Sharpstene 0.18% 556 351
Matthis Besard 1.51% 66 46 22
Maxence Giboudot 0.11% 909 351 72
Maximilian Steinlechner 3.42% 29 21 4
Md Akbar Hossain 0.00% 10000 1501 140
Michael Hirmer 0.63% 159 67 139
Milind Soni 0.01% 10000 501 131
Mohd Azhar 0.05% 2000 251 121
Mukesh Kumar 0.00% 10000 1001 121
N. Thangaraja 0.37% 270 276 42
Nathan Legendre 0.03% 3333 501 63
Nick Carlson 1.04% 96 151 0.40% 42 -0.4 Bet365: 150/1, 5pl, 1/4
Nicolai Kristensen 0.39% 256 126 57
Oihan Guillamoundeguy 0.70% 143 126 22
Oliver Farr 0.32% 313 126 131
Om Prakash Chouhan 0.31% 323 101 117
Pawan Kumar 0.00% 10000 1001 53
Pedro Figueiredo 1.50% 67 111 0.60% 6 -0.6 Bet365: 110/1, 5pl, 1/4
Per Langfors 1.53% 65 46 53
Pranav Mardikar 0.00% 10000 1501 121
Pukhraj Singh Gill 0.02% 5000 1001 97
Quim Vidal 1.19% 84 56 1
Rashid Khan 0.58% 172 151 11
Ravi Kumar 0.01% 10000 1001 150
Renato Paratore 0.93% 108 61 88
Rhys Enoch 0.28% 357 201 33
Rikard Karlberg 0.18% 556 201 67
Robert Foley 0.02% 5000 501 121
Robin Sciot-Siegrist 1.29% 78 61 22
Rohan Dhole Patil 0.01% 10000 601 48
Ryan Lumsden 0.95% 105 67 109
Saarthak Chhibber 0.02% 5000 501 33
Sachin Baisoya 0.89% 112 101 72
Sam Hutsby 0.49% 204 111 72
Sam Jones 1.80% 56 41 33
Sam Locke 0.02% 5000 501 144
Samarth Dwivedi 0.12% 833 351 150
Santiago Tarrio 1.97% 51 46 11
Saptak Talwar 0.27% 370 251 57
Sebastian Friedrichsen 0.78% 128 126 22
Sebastian Garcia 0.22% 455 176 88
Sebastien Gros 0.59% 169 126 97
Shamim Khan 0.12% 833 351 121
Shankar Das 0.02% 5000 1501 88
Shaurya Bhattacharya 0.11% 909 351 33
Shaurya Binu 0.02% 5000 501 131
Shivendra Singh Sisodia 0.00% 10000 1501 131
Siddikur Rahman 0.05% 2000 251 33
Soren Broholt Lind 0.02% 5000 501 117
Stepan Danek 0.01% 10000 751 69
Steven Brown 0.67% 149 201 0.20% Bet365: 200/1, 5pl, 1/4
Stuart Manley 0.33% 303 301 97
Sudhir Sharma 0.00% 10000 1501 109
Sunhit Bishnoi 0.06% 1667 501 67
Syed Saqib Ahmed 0.00% 10000 1501 131
Tadeas Tetak 0.43% 233 81 71
Tapendra Ghai 0.01% 10000 150
Tiger Christensen 0.02% 5000 351 42
Tom Lewis 0.56% 179 81 150
Tomas Gouveia 1.44% 69 56 33
Udayan Mane 0.51% 196 201 22
Varun Parikh 0.12% 833 201 42
Victor H. Sidal Svendsen 0.02% 5000 501 6
Victor Pastor 0.19% 526 276 22
Vince Van Veen 0.28% 357 176 109
Will Hopkins 1.06% 94 91 42
Yashas Chandra 0.73% 137 151 0.10% 150 -0.1 Unibet: 150/1, 5pl, 1/4
Yente Van Doren 0.01% 10000 201 22
Yuvraj Singh 0.00% 10000 751 138

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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