Simulation Results: Myrtle Beach Classic

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
A.J. Ewart 0.62% 161 91
Aaron Rai 2.60% 38 36
Aaron Wise 0.02% 5000 551
Adam Hadwin 0.53% 189 151
Adam Schenk 0.28% 357 176
Adam Svensson 0.50% 200 121
Adrien Dumont de Chassart 1.49% 67 41
Adrien Saddier 0.67% 149 101
Alejandro Tosti 0.03% 3333 301
Austin Eckroat 2.41% 41 41
Beau Hossler 1.30% 77 71
Ben Kohles 0.46% 217 126
Ben Martin 0.11% 909 601
Ben Silverman 0.22% 455 276
Billy Horschel 1.08% 93 61
Blades Brown 0.88% 114 46
Brandt Snedeker 0.46% 217 201
Brendon Todd 0.02% 5000 1251
Brice Garnett 0.17% 588 351
Brooks Koepka 4.33% 23 15
Cam Davis 0.05% 2000 351
Camilo Villegas 0.03% 3333 501
Carson Young 0.68% 147 101
Casey Jarvis 0.92% 109 41
Chad Ramey 1.41% 71 61
Chan Kim 0.14% 714 161
Chandler Phillips 0.47% 213 161
Christiaan Bezuidenhout 3.98% 25 46 1.80% Unibet: 45/1, 5pl, 1/4
Christo Lamprecht 0.09% 1111 161
Connor Doyal 0.00% 10000 2501
Cooper Hrabak 0.00% 10000 2501
Daniel Brown (Oct1994) 1.19% 84 67
Danny Walker 0.07% 1429 201
Danny Willett 0.07% 1429 701
David Skinns 0.42% 238 151
Davis Chatfield 0.17% 588 251
Davis Riley 0.09% 1111 301
Davis Thompson 4.03% 25 18
Doug Ghim 3.15% 32 51 1.20% Unibet: 50/1, 5pl, 1/4
Dylan Wu 0.54% 185 131
Emiliano Grillo 1.16% 86 86
Eric Cole 2.73% 37 46 0.60% Bet365: 45/1, 5pl, 1/4
Erik Van Rooyen 0.56% 179 126
Evan Harmeling 0.00% 10000 1501
Garrick Higgo 0.45% 222 91
Gordon Sargent 0.15% 667 251
Grant Haefner 0.01% 10000 5001
Grayson Wood 0.00% 10000 2001
Hank Lebioda 0.27% 370 131
Haotong Li 1.77% 56 41
Hayden Springer 0.65% 154 101
Henrik Norlander 0.25% 400 276
Jackson Suber 0.23% 435 151
James Hahn 0.00% 10000 1001
Jeffrey Kang 0.08% 1250 351
Jeremy Paul 0.14% 714 401
Jesper Svensson 0.58% 172 91
Jimmy Stanger 0.14% 714 161
Joe Highsmith 0.16% 625 201
Joel Dahmen 0.47% 213 111
John Parry 2.94% 34 51 1.00% Unibet: 50/1, 5pl, 1/4
John VanDerLaan 0.15% 667 151
Johnny Keefer 1.19% 84 56
Justin Lower 0.13% 769 276
Karl Vilips 0.73% 137 67
Keita Nakajima 0.20% 500 151
Kensei Hirata 0.14% 714 326
Kevin Roy 0.93% 108 61
Kevin Streelman 0.20% 500 226
Kevin Yu 1.73% 58 29
Kris Ventura 1.12% 89 61
Lanto Griffin 0.40% 250 176
Lee Hodges 1.67% 60 61
Luke Clanton 0.25% 400 141
Mac Meissner 2.74% 36 31
Marcelo Rozo 0.02% 5000 551
Marco Penge 1.58% 63 21
Mark Hubbard 0.67% 149 111
Martin Laird 0.08% 1250 551
Matt Kuchar 0.81% 123 141 0.10% Spreadex: 140/1, 5pl, 1/4
Matthieu Pavon 1.05% 95 101 0.10% Unibet: 100/1, 5pl, 1/4
Matti Schmid 1.77% 56 41
Max Greyserman 1.93% 52 46
Max McGreevy 1.63% 61 41
Nathan Petronzio 0.00% 10000
Neal Shipley 0.19% 526 131
Nicholas Marchese 0.00% 10000 2001
Nick Dunlap 0.13% 769 181
Nick Hardy 0.19% 526 276
Patrick Fishburn 0.41% 244 141
Patton Kizzire 0.18% 556 276
Paul Peterson 0.18% 556 401
Peter Malnati 0.11% 909 426
Petr Hruby 0.06% 1667 501
Pontus Nyholm 0.16% 625 111
Rafael Campos 0.03% 3333 601
Rasmus Hojgaard 3.21% 31 26
Rasmus Neergaard-Petersen 2.34% 43 31
Rico Hoey 1.92% 52 36
Robert Streb 0.00% 10000 1251
Ryan Brehm 0.02% 5000 1001
Ryan Ruffels 0.00% 10000 1001
Sam Ryder 1.08% 93 81
Sami Valimaki 2.47% 40 51 0.50% Unibet: 50/1, 5pl, 1/4
Seamus Power 2.68% 37 61 1.10% Unibet: 60/1, 5pl, 1/4
Stephan Jaeger 2.10% 48 46
Steven Fisk 1.43% 70 46
Takumi Kanaya 1.33% 75 131 0.60% Skybet: 100/1, 10pl, 1/5
Taylor Moore 1.43% 70 56
Thomas Rosenmueller 0.14% 714 251
Thriston Lawrence 1.57% 64 101 0.60% Unibet: 100/1, 5pl, 1/4
Tom Kim 1.41% 71 56
Trace Crowe 0.71% 141 67
Trent Phillips 0.13% 769 141
Troy Merritt 0.06% 1667 551
Tyler Collet 0.00% 10000 1501
Tyler Duncan 0.08% 1250 201
Vince Whaley 1.54% 65 67
Wells Williams 0.00% 10000 1001
William Mouw 1.14% 88 41
Zac Blair 0.88% 114 111
Zach Bauchou 0.56% 179 67
Zecheng Dou 0.59% 169 81

The data in the above table is as follows:

The Top Plays table highlights the three advised each-way plays in the win and and the six advised each-way plays 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 on Mondays. Advised each-way plays will be posted on Tuesday afternoon once odds have settled and there is maximum opportunity to get the prices advertised. FRL plays will be posted on Wednesday or one day prior to the start of the event.

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

Full P/L breakdown per market and per event for this year is available here. Results for 2024 are available here.

* The Kelly criterion is given by:

K = (b * p) - q b
Where:
K = Kelly stake (optimal % of bankroll)
b = (Best Odds - 1)
p = probability of winning (Win%)
q = probability of losing (1 - Win%)

Using the odds that are available to you, calculate your 'Kelly stake' using the calculator below. Once you have selected the player, the win odds will be auto-populated from the table above.

Kelly Criterion Calculator

Auto-populated when player is selected
Kelly Stake: 0.00% of bankroll

The Kelly criterion determines the optimal stake size to maximize long-term growth of your bankroll.

Odds
This week's odds

Betfair: PGA Tour

Betfair: DP World Tour


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