Simulation Results: Argentina Open

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Alistair Docherty 0.79% 127 126 1
Alvaro Ortiz 0.70% 143 101 145
Andrew Kozan 0.21% 476 201 69
Ashton Van Horne 1.27% 79 301 0.90% 151 -0.9 Bet365: 300/1, 5pl, 1/4
Augusto Nunez 0.24% 417 126 116
Austin Duncan 0.10% 1000 116
Austin Greaser 0.58% 172 151 104
Austin Hitt 0.89% 112 81 116
Barend Botha 1.31% 76 34 104
Ben Carr 0.06% 1667 751 35
Ben Kohles 2.10% 48 31 6
Ben Martin 1.84% 54 56 0.10% 92 -0.1 Bet365: 55/1, 5pl, 1/4
Ben Taylor 0.73% 137 101 46
Billy Tom Sargent 1.08% 93 71 69
Blaine Hale 0.14% 714 351 35
Braden Thornberry 0.39% 256 176 77
Brandon Berry 0.07% 1429 401 92
Brandon Matthews 0.03% 3333 201 155
Brandon Wu 0.35% 286 176 74
Brett Roberts 0.10% 1000 69
Brett Stegmaier 0.19% 526 57
Brett White 0.51% 196 111 35
Bronson Burgoon 1.86% 54 61 0.20% 15 -0.2 Spreadex: 60/1, 6pl, 1/5
Bryce Lewis 0.73% 137 151 0.10% 156 -0.1 Bet365: 150/1, 5pl, 1/4
Bryson Nimmer 0.22% 455 201 42
Caleb VanArragon 1.69% 59 61 0.10% 64 -0.1 Spreadex: 60/1, 6pl, 1/5
Cameron Champ 1.04% 96 51 25
Carl Yuan 0.29% 345 141 25
Carson Bacha 0.50% 200 151 15
Chad Sewell 0.16% 625 501 9
Chez Reavie 0.11% 909 601 77
Chris Francoeur 0.32% 313 151 128
Chris Korte 0.46% 217 301 0.10% 2 3.7 Bet365: 300/1, 5pl, 1/4
Christian Salzer 0.03% 3333 601 104
Cody Blick 0.23% 435 201 141
Cole Anderson 0.00% 10000 501 92
Cole Hammer 1.42% 70 67 77
Cole Sherwood 1.24% 81 51 9
Cooper Dossey 1.64% 61 56 64
Cristobal Del Solar 0.75% 133 81 25
Dan McCarthy 0.18% 556 351 104
David Kocher 0.16% 625 251 145
Davis Lamb 0.96% 104 67 116
Davis Shore 1.36% 74 67 35
Derek Hitchner 0.61% 164 226 0.20% 145 -0.2 Bet365: 225/1, 5pl, 1/4
Dillon Stewart 0.13% 769 601 53
Doc Redman 0.89% 112 67 61
Drew Nesbitt 0.10% 1000 351 116
Dylan Menante 1.01% 99 91 77
Fabian Gomez 0.54% 185 76 35
Franco Romero 0.01% 10000 1001 132
Harry Hillier 0.26% 385 301 104
Hayden Buckley 2.97% 34 46 0.80% 92 -0.8 Spreadex: 45/1, 6pl, 1/5
Hayden Springer 1.37% 73 56 69
Hunter Eichhorn 2.07% 48 81 0.80% 9 -0.8 Bet365: 80/1, 5pl, 1/4
Hunter Wolcott 0.06% 1667 351 132
Ian Gilligan 1.83% 55 71 0.40% 9 -0.4 Bet365: 70/1, 5pl, 1/4
Ian Holt 2.75% 36 23 22
J.J. Grey 0.70% 143 401 0.50% 145 -0.5 Bet365: 400/1, 5pl, 1/4
Jackson Buchanan 0.35% 286 151 104
Jackson Van Paris 1.54% 65 67 9
James Nicholas 1.60% 63 41 132
James Song 0.00% 10000 351 145
Jared Wolfe 0.09% 1111 601 104
Jay Card 0.30% 333 126 116
Jeremy Gandon 1.75% 57 67 0.30% 53 -0.3 Spreadex: 66/1, 6pl, 1/5
Jeremy Paul 0.88% 114 71 61
Joe Weiler 0.51% 196 126 22
John Marshall Butler 0.12% 833 301 46
John Pak 1.65% 61 41 46
Jonathan Byrd 1.47% 68 81 0.20% 104 -0.2 BetMGM: 80/1, 6pl, 1/5
Jorge Fernandez Valdes 1.12% 89 76 15
Joseph Bramlett 2.40% 42 46 0.20% 77 -0.2 Bet365: 45/1, 5pl, 1/4
Joshua Creel 0.17% 588 226 141
Joshua Lee 0.02% 5000 501 141
Julian Suri 0.53% 189 101 25
Justin Hastings 0.83% 120 71 141
Justin Suh 0.32% 313 67 19
Kaito Onishi 0.29% 345 176 132
Kevin Dougherty 0.52% 192 91 128
Kevin Velo 0.68% 147 126 42
Kyle Westmoreland 0.52% 192 151 92
Logan McAllister 0.85% 118 91 104
Luke Guthrie 0.10% 1000 301 77
Luke Gutschewski 0.33% 303 201 77
Luke List 0.41% 244 101 57
Marcos Montenegro 0.08% 1250 601 132
Marshall Meisel 0.29% 345 401 42
Martin Contini 0.03% 3333 751 46
Mason Andersen 2.16% 46 36 25
Mason Williams 0.62% 161 141 154
Matt Atkins 0.41% 244 126 116
Matt NeSmith 0.36% 278 301 61
Matthew Anderson 0.62% 161 126 42
Matthew Riedel 0.42% 238 201 151
Maximiliano Godoy 0.01% 10000 1001 153
Maxwell Moldovan 0.27% 370 351 35
Michael Feagles 0.34% 294 351 0.10% 132 -0.1 Bet365: 350/1, 5pl, 1/4
Michael Johnson 2.16% 46 51 0.20% 25 -0.2 Bet365: 50/1, 5pl, 1/4
Mitchell Meissner 1.16% 86 41 64
Myles Creighton 0.85% 118 161 0.20% 77 -0.2 Bet365: 160/1, 5pl, 1/4
Nelson Ledesma 0.17% 588 201 116
Nicholas Infanti 0.05% 2000 601 76
Nick Gabrelcik 0.35% 286 91 46
Nick Hardy 1.12% 89 111 0.20% 92 -0.2 Spreadex: 110/1, 6pl, 1/5
Nicolo Galletti 0.62% 161 101 116
Norman Xiong 1.02% 98 101 77
Parker Coody 0.15% 667 251 77
Peter Kuest 0.26% 385 126 104
Petr Hruby 0.35% 286 176 92
Phichaksn Maichon 0.16% 625 301 9
Philip Knowles 0.14% 714 351 92
Preston Summerhays 0.05% 2000 501 116
Rayhan Thomas 0.24% 417 176 25
Rhein Gibson 0.18% 556 251 19
Rick Lamb 0.55% 182 151 92
Rob Oppenheim 0.21% 476 251 57
Robbie Higgins 0.04% 2500 601 57
Robby Shelton 0.85% 118 91 104
Roger Sloan 1.08% 93 101 0.10% 25 -0.1 Spreadex: 100/1, 6pl, 1/5
Russell Knox 0.52% 192 101 22
Ryan Blaum 0.56% 179 201 0.10% 77 -0.1 Spreadex: 200/1, 6pl, 1/5
Ryan Burnett 0.17% 588 301 69
Ryan Grider 0.06% 1667 501 116
Ryan McCormick 0.26% 385 176 77
Ryan Sullivan 0.03% 3333 1251 77
Ryo Ishikawa 0.36% 278 151 64
Sam Choi 0.09% 1111 401 132
Samuel Anderson 0.49% 204 201 64
Sandy Scott 0.80% 125 111 19
Sebastian Cappelen 0.34% 294 201 46
Segundo Oliva 0.00% 10000 1001 7
Seung-Yul Noh 1.99% 50 34 2
Shad Tuten 0.35% 286 176 4
Spencer Levin 0.17% 588 351 104
Stuart Macdonald 0.71% 141 201 0.20% 25 -0.2 Bet365: 200/1, 5pl, 1/4
Taylor Montgomery 1.81% 55 51 4
Theo Humphrey 0.22% 455 251 92
Tom Whitney 1.30% 77 91 0.20% 74 -0.2 Bet365: 90/1, 5pl, 1/4
Tommy Cocha 0.01% 10000 1501 77
Travis Trace 0.28% 357 201 35
Trent Phillips 2.09% 48 29 132
Trevor Cone 1.60% 63 36 128
Trey Winstead 0.49% 204 151 116
Troy Merritt 0.44% 227 176 53
Tyler Duncan 0.98% 102 126 0.20% 92 -0.2 Bet365: 125/1, 5pl, 1/4
Tyler Leach 0.15% 667 601 92
Tyler McCumber 0.05% 2000 251 77
Tyson Alexander 0.25% 400 351 7
Vicente Marzilio 0.11% 909 501 53
Will Cannon 0.26% 385 176 128
Will Chandler 0.45% 222 201 25
Will Gordon 0.73% 137 101 145
Wilson Furr 0.53% 189 176 46
Yuta Sugiura 0.10% 1000 226 15
Zack Fischer 0.30% 333 226 132

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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