Overall: 11-7 (+5.5pts) RD 4: +.1 11:10 AM ET Na -110 over Harman 2pts +2 11:50 AM ET Rahm -150 over Fowler 2pts -3 11:50 AM ET Brown +110 over Villegas 2pts -2 12:10 PM ET Simpson +105 over Lowry 2pts +2.1 12:20 PM ET Matsuyama -140 over Mickelson 2pts +2 12:30 PM ET Leishman -140 over DeLaet 2pts -2.8 12:30 PM ET Laird -125 over An 2pts Push 5Dimes All plays supported by strong fourth round metrics. RD 3: +8 11:10 AM ET Simpson +100 over Na 2pts +2 11:30 AM ET Stricker +100 over Lowry 2pts -2 11:40 AM ET Berger -110 over Holmes 2pts +2 12:00 PM ET Brown +100 over Summerhays 2pts +2 12:20 PM ET Spaun -110 over Blixt 2pts +2 12:40 PM ET Kuchar -110 over Steele 2pts +2 12:50 PM ET Laird -110 over An 2pts push 5Dimes All plays supported by strong third round metrics. RD 2: 10:00 AM ET Watson -125 over Reed 2.5 pts -3.125 10:20 AM ET Grillo -135 over Herman 2.5pts 2.5 1:40 PM ET Chappell -110 over Castro 2.5pts 2.5 5Dimes All plays supported by undefeated second round metrics. RD 1: 2:10 PM ET Reed -110 over Watson 2pts -2.2 2:20 PM ET Johnson -125 over Kirk 2pts -2.5 2:30 PM ET Herman +115 over Grillo 2pts Push 2:30 PM ET Moore -165 over Hoffman 2 pts 2 5Dimes All plays supported by undefeated first round metrics. |
TIPPING STRATEGY
My strategy is based on several different theories, which I
have outlined below. It is also 99% based on numbers. Every play I post is
supported by some form of numbers, not what I think should happen.
1) History repeats itself. The large majority of
tournaments each year are played on the same course. And while the players
change, the stats and power rankings that predict success on each course
typically do not. And this is where trends are helpful. (Trends are very
helpful for tournaments with new courses as well)
• The trends that I
use are specific to each round of each tournament. I use approximately 40
different player stats and approximately 50 different power rankings. These
stats and power rankings are for an 8 week period and a 4 week period, and
are also weighted. The win/loss record of each of these stats and power
rankings are accumulated from the three previous years of each tournament.
The average sample size is no less than a 100 head to head matchups for each
round.
2) It is my belief that individual sports provide
the greatest opportunity for playing underdogs. Therefore, determining which
underdogs have the most value can be highly profitable.
• In regards to golf, if an individual has a bad day, he
does not have any teammates to pick up the slack. In addition, betting lines
for the world’s top players are often grossly inflated in order to balance
the action. And even the world’s top players have bad days or extended
periods of bad play. The models I have created and are continuing to develop
(regression analysis) allow me to find high value underdogs.
3) More to come……
STAKING PLAN
My plays are based upon a percentage of my starting bankroll
each season. They range from 1% to 8%, with the large majority ranging from
3% to 5%. In order to stay consistent with my fellow tipsters here on
TourTips, I have converted my % system to a points system. 1% is equal to
0.5pts. Therefore, a 3% play equals 1.5pts, a 5% play equals 2.5pts, etc.
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