Simulation Results: OccuNet Classic

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Alex Vogelsong 0.03% 3333 501 142
Alistair Docherty 1.95% 51 41
Alvaro Ortiz 0.97% 103 61 10
Aman Gupta 0.01% 10000 1001 133
Andrew Kozan 0.12% 833 401 6
Andrew McLauchlan 0.00% 10000 501 142
Augusto Nunez 0.11% 909 201 100
Austin Duncan 0.23% 435 251 100
Austin Hitt 0.69% 145 101 21
Barend Botha 0.72% 139 251 0.30% 21 -0.3 Bet365: 250/1, 5pl, 1/4
Ben Carr 0.96% 104 81 2
Ben Kohles 3.55% 28 26 29
Ben Taylor 1.15% 87 71 28
Billy Tom Sargent 0.14% 714 501 14
Blades Brown 4.66% 21 17
Blaine Hale 0.29% 345 301 91
Blake Abercrombie 0.00% 10000 751 114
Brandon Berry 0.10% 1000 601 152
Brandon Harkins 0.26% 385 251 114
Brandon Wu 0.36% 278 151
Brett White 0.14% 714 501 100
Bryce Lewis 0.49% 204 151 100
Bryson Nimmer 0.06% 1667 501 28
Caleb VanArragon 2.59% 39 34 47
Cameron Champ 0.44% 227 126
Cameron Sisk 0.01% 10000 751 40
Carl Yuan 1.46% 68 81 0.20% BetMGM: 80/1, 6pl, 1/5
Carson Bacha 0.31% 323 201 142
Carson Young 1.56% 64 41 8
Chad Sewell 0.16% 625 301 91
Chan Kim 3.02% 33 29 35
Chase Sienkiewicz 0.16% 625 301 133
Chez Reavie 1.30% 77 101 0.30% 28 -0.3 Bet365: 100/1, 5pl, 1/4
Chris Francoeur 0.56% 179 276 0.20% 55 -0.2 Bet365: 275/1, 5pl, 1/4
Chris Korte 0.22% 455 301 40
Christiaan Maas 1.79% 56 34 72
Cody Blick 0.02% 5000 401
Cole Hammer 1.28% 78 51
Cole Sherwood 2.77% 36 34 14
Cristobal Del Solar 0.65% 154 101 81
Dan McCarthy 0.13% 769 501 40
Daniel Summerhays 0.18% 556 226 100
David Kocher 0.25% 400 301 100
Davis Lamb 0.66% 152 101 53
Davis Shore 1.33% 75 51 21
Derek Hitchner 0.42% 238 351 0.10% 81 -0.1 Bet365: 350/1, 5pl, 1/4
Dillon Stewart 0.02% 5000 751 153
Doc Redman 1.78% 56 34 91
Dylan Menante 1.33% 75 46 72
Fabian Gomez 1.31% 76 81 0.10% 21 -0.1 Bet365: 80/1, 5pl, 1/4
Filip Jakubcik 0.04% 2500 61 28
Frankie Harris 0.70% 143 81 59
Harry Higgs 0.85% 118 126 0.10% 14 -0.1 PaddyPower: 125/1, 5pl, 1/4
Hayden Buckley 1.34% 75 101 0.40% 8 -0.4 Bet365: 100/1, 5pl, 1/4
Hunter Eichhorn 2.55% 39 29 5
Ian Gilligan 0.79% 127 56 81
Ian Holt 0.92% 109 71 114
Jack Maguire 0.12% 833 251 81
Jackson Buchanan 0.14% 714 35
Jacob Solomon 0.32% 313 226 35
James Nicholas 0.78% 128 101 28
James Song 0.01% 10000 1251 62
Jase Summy 0.00% 10000 56 3
Jay Card 0.91% 110 126 0.10% 68 -0.1 Bet365: 125/1, 5pl, 1/4
Jayce Hargrove 0.02% 5000 751 133
Jeremy Gandon 0.90% 111 71 114
Jeremy Paul 0.78% 128 71 74
Joe Weiler 0.22% 455 251 81
Joel Thelen 0.04% 2500 401 100
John Daly 0.03% 3333
John Marshall Butler 0.62% 161 111 100
Jorge Fernandez Valdes 0.67% 149 71 65
Jorge Garcia 0.24% 417 301 114
Joseph Bramlett 1.32% 76 56 40
Josh Teater 0.34% 294 151 59
Joshua Creel 0.14% 714 501 10
Julian Suri 0.45% 222 251 0.10% 10 -0.1 Bet365: 250/1, 5pl, 1/4
Justin Hastings 0.15% 667 401 59
Justin Suh 0.63% 159 91 14
Kevin Dougherty 0.48% 208 251 0.10% 14 -0.1 Boyle Sports: 250/1, 6pl, 1/5
Kyle Cottam 0.70% 143 301 0.40% 81 -0.4 Bet365: 300/1, 5pl, 1/4
Kyle Westmoreland 0.45% 222 161 71
Logan McAllister 1.03% 97 71 21
Luke Guthrie 0.58% 172 401 0.30% 129 -0.3 Bet365: 400/1, 5pl, 1/4
Luke Gutschewski 0.53% 189 251 0.10% 129 -0.1 Bet365: 250/1, 5pl, 1/4
Luke Potter 0.01% 10000 71 81
Mahanth Chirravuri 0.20% 500 151 114
Marshall Meisel 0.14% 714 751 100
Matt Atkins 0.79% 127 101 62
Matt NeSmith 0.51% 196 251 0.10% 40 -0.1 Bet365: 250/1, 5pl, 1/4
Matthew Riedel 0.17% 588 601 100
Maxwell Moldovan 0.96% 104 151 0.30% 53 -0.3 Boyle Sports: 150/1, 6pl, 1/5
Michael Feagles 0.15% 667 401 40
Michael Johnson 1.81% 55 41 35
Michael Sanders 0.01% 10000 751 147
Michael Thompson 0.06% 1667 201 114
Mitchell Meissner 0.98% 102 56 91
Nick Gabrelcik 0.30% 333 151 100
Nick Hardy 0.67% 149 126
Nick Infanti 0.13% 769 501 72
Nicolo Galletti 0.62% 161 151 6
Noah Goodwin 0.63% 159 126 72
Norman Xiong 0.37% 270 251 129
Paul Barjon 0.16% 625 351 133
Phichaksn Maichon 0.26% 385 301 147
Philip Knowles 0.19% 526 301 47
Preston Summerhays 0.30% 333 201 91
R.J. Manke 0.06% 1667 501 139
Rayhan Thomas 0.87% 115 91 114
Rhein Gibson 0.25% 400 401 100
Ricardo Celia 0.57% 175 401 0.30% 55 -0.3 Bet365: 400/1, 5pl, 1/4
Rick Lamb 0.93% 108 101 114
Rob Oppenheim 0.15% 667 251 139
Robbie Higgins 0.04% 2500 401 151
Robby Shelton 0.63% 159 111 154
Robert Garrigus 0.02% 5000 501 62
Ross Steelman 1.74% 57 46 142
Russell Knox 0.45% 222 151 72
Ryan Blaum 0.29% 345 226 14
Ryan Brehm 0.14% 714 751
Ryan Burnett 0.51% 196 226 0.10% 139 -0.1 Bet365: 225/1, 5pl, 1/4
Ryan McCormick 0.62% 161 251 0.20% 149 -0.2 Bet365: 250/1, 5pl, 1/4
Ryan Palmer 0.03% 3333 301 133
Ryan Sullivan 0.03% 3333 751 47
Ryo Ishikawa 1.68% 60 91 0.60% 3 6.45 Bet365: 90/1, 5pl, 1/4
Sam Choi 0.19% 526 201 47
Sandy Scott 1.22% 82 56
Seung-Yul Noh 1.96% 51 51 28
Spencer Levin 0.05% 2000 1251 72
Stuart Macdonald 0.28% 357 351 67
Taylor Dickson 0.75% 133 101 55
Taylor Montgomery 0.57% 175 81 114
Tegan Andrews 0.03% 3333 501 114
Theo Humphrey 0.36% 278 301 65
Thomas Rosenmueller 0.53% 189 226 0.10% 81 -0.1 Bet365: 225/1, 5pl, 1/4
Tom Whitney 0.72% 139 176 0.20% 100 -0.2 Bet365: 175/1, 5pl, 1/4
Tommy Morrison 0.17% 588 71 10
Travis Trace 0.90% 111 91 40
Trent Phillips 1.75% 57 61 0.10% 91 -0.1 Spreadex: 60/1, 6pl, 1/5
Trevor Cone 0.77% 130 101 81
Trey Winstead 0.14% 714 251 72
Turk Pettit 0.68% 147 81 68
Tyler Duncan 0.58% 172 251 0.20% 28 -0.2 Bet365: 250/1, 5pl, 1/4
Tyler Leach 0.25% 400 351 21
Tyson Alexander 0.10% 1000 401 72
Vicente Marzilio 0.34% 294 251 114
Wells Williams 0.07% 1429 126 100
Will Cannon 0.76% 132 151 0.10% 129 -0.1 BetVictor: 150/1, 5pl, 1/4
Will Chandler 0.38% 263 176 91
Will Gordon 0.47% 213 401 0.20% 91 -0.2 Bet365: 400/1, 5pl, 1/4
William Jennings 3.06% 33 67 1.60% Boyle Sports: 66/1, 6pl, 1/5
William Sides 0.68% 147 71 14
Wilson Furr 0.32% 313 201 154
Wyatt Provence 0.00% 10000 251 35
Yuta Sugiura 0.66% 152 126 21
Zack Fischer 0.46% 217 161 1

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.

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