Simulation Results: Mitsubishi Electric Championship

Player Win % TT Odds Best Odds Kelly Result P/L E/W Play
Alex Cejka 2.59% 39 29 2
Bernhard Langer 5.56% 18 15 2
Brett Quigley 0.74% 135 176 0.20% 24 -0.2 Spreadex: 175/1, 4pl, 1/4
Corey Pavin 0.14% 714 1001 32
Darren Clarke 2.36% 42 34 15
David Duval 0.08% 1250 401 19
David Toms 1.27% 79 71 27
Doug Barron 1.35% 74 81 0.10% 8 -0.1 Spreadex: 80/1, 4pl, 1/4
Ernie Els 5.74% 17 17 1
Fred Couples 1.84% 54 91 0.70% 15 -0.7 Bet365: 90/1, 5pl, 1/4
Fred Funk 0.02% 5000 2501 41
Harrison Frazar 1.21% 83 41 24
Jay Haas 0.14% 714 1001 27
Jerry Kelly 4.07% 25 23 5
Joe Durant 0.62% 161 201 0.10% 30 -0.1 Bet365: 200/1, 5pl, 1/4
Justin Leonard 1.41% 71 51 8
K.J. Choi 2.41% 41 36 32
Ken Duke 1.13% 88 81 19
Ken Tanigawa 1.13% 88 111 0.20% 7 -0.2 Bet365: 110/1, 5pl, 1/4
Lee Janzen 0.41% 244 501 0.20% 32 -0.2 Bet365: 500/1, 5pl, 1/4
Mark Hensby 1.66% 60 101 0.70% 19 -0.7 Bet365: 100/1, 5pl, 1/4
Miguel Angel Jimenez 4.09% 24 26 0.30% 2 0.675 Bet365: 22/1, 5pl, 1/4
Mike Weir 2.40% 42 71 1.00% 27 -1 Bet365: 70/1, 5pl, 1/4
Olin Browne 0.05% 2000 1501 32
Paul Broadhurst 1.72% 58 81 0.50% 38 -0.5 Bet365: 70/1, 5pl, 1/4
Retief Goosen 2.44% 41 29 31
Ricardo Gonzalez 0.73% 137 41 19
Rocco Mediate 1.01% 99 81 32
Rod Pampling 1.92% 52 46 15
Scott Dunlap 0.31% 323 501 0.10% 39 -0.1 Skybet: 500/1, 4pl, 1/4
Scott McCarron 0.23% 435 501 39
Stephen Ames 2.80% 36 23 8
Stephen Dodd 0.06% 1667 1251 42
Steve Flesch 0.79% 127 81 15
Steve Stricker 10.48% 9.5 4.5 19
Steven Alker 9.06% 11 6 5
Stewart Cink 19.87% 5 6.5 5.30% 8 -5.3 Bet365: 5.5/1, 5pl, 1/4
Thongchai Jaidee 1.62% 62 81 0.40% 12 -0.4 Bet365: 70/1, 5pl, 1/4
Tim O'Neal 0.77% 130 101 12
Tom Lehman 0.04% 2500 2501 32
Vijay Singh 1.85% 54 29 12
Y.E. Yang 1.90% 53 41 26

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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