Overall: 10-4 (+11.03pts) RD 4: 5-2 (+4.975) 11:05 AM ET Holmes -105 over Grace 2.5pts L Supported by strong fourth round trends.
5Dimes RD4: 10:55 AM ET Summerhays -115 over Choi 2.5pts W
11:35 AM ET Hearn -135 over Varner 3pts L 12:05 PM ET Baddeley -105 over Streelman 3pts W 12:25 PM ET Horschel -150 over Harrington 2.5pts W 12:25 PM ET Collins +110 over Barnes 1.5pts W 12:35 PM ET Hoffman -115 over Steele 2pts W
All supported by strong fourth round trends.
5Dimes RD 3: 2-1 (+2.5pts) 11:25 AM ET Molder -105 over Streelman 2.5pts L 12:05 PM ET Donald +105 over Snedeker 2.5pts W 12:25 PM ET Barnes -125 over Curran 2.5pts W
All supported by strong third round trends.
5Dimes RD 2: 1-1 (-1.45pts) 1:30 PM ET Huh -125 over Jaidee 2pts W
1:50 PM ET Henley -115 over Bradley 3pts L Both supported by strong second round trends.
5Dimes RD 1: 2-0 (+5pts)
8:20 AM ET Huh -115 over Jaidee 2.5pts W 9:00 AM ET Hoffman -150 over Streelman 2.5pts W
Both supported by strong first round trends.
5Dimes |
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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