Dr. L.J. Riccio,
PhD did an
analysis of "average
golfers
Although
much is known about
the statistical profile
of professional golfers,
little has been published
on the play of other
golfers. Riccio's 1990
paper used data from
over
100 golfers ranging
in ability from Jack
Nicklaus to a 35 handicapper.
The analysis was designed
to determine which
aspects of play separates
the average players
from the top amateurs.
I've also done an analysis of PGA Tour Tournament results from 2007. Scroll down to view.
He
found that some
specific statistics
were good predictors
of score. For
example, the number
of pars made could
be used to accurately
predict score,
using the equation,
SCORE = 102.6
- 2.7 X #pars.
If a player typically
makes 7 pars each
round, his/her
likely average
score would be
102.6 - 2.7 X
7 = 83.7.
Take
a look at how
many pars you
usually make in
a round (analyze
your last 5 rounds).
What does the
above formula
predict for your
average score?
Is it a good predictor?
Another
good predictor
is greens in regulation,
GIR. The formula
Riccio discovered
for GIR is SCORE
= 95.1 - 2.0 X
GIR. If you are
an excellent ball
striker and happen
to hit on average
15 greens per
round, then your
likely average
score would be
95.1 - 2.0 X 15
= 65.1. Yes, 65!
The pros don't
hit on average
15 greens per
round.
Below
is a table which
summarizes some
of the statistics
that Riccio investigated.
Where do you fit
in with your game?
| |
AVERAGE
SCORE |
Relationship |
| CATEGORY |
71 |
75 |
79 |
81 |
85 |
89 |
91 |
95 |
99 |
|
| GIR |
12 |
10 |
8 |
7 |
5 |
3 |
2 |
0 |
0 |
Strong |
| % Fairways |
81 |
71 |
61 |
56 |
46 |
36 |
31 |
21 |
11 |
Weak |
| Iron Accuracy |
80 |
68 |
53 |
47 |
33 |
20 |
13 |
0 |
0 |
Good |
| Putts per
Round |
29.0 |
30.3 |
31.7 |
32.3 |
33.7 |
35.0 |
35.7 |
37.0 |
38.3 |
Weak |
| Pitch/Chip/Sand |
5.1 |
7.4 |
9.8 |
10.9 |
13.3 |
15.6 |
16.8 |
19.2 |
21.5 |
Strong |
| Birdies |
3.2 |
2.4 |
1.8 |
1.5 |
0.8 |
0.1 |
0 |
0 |
0 |
Strong |
| Pars |
11.8 |
10.3 |
8.8 |
8.1 |
6.6 |
5.1 |
4.3 |
2.8 |
1.3 |
Strong |
The
last column indicates
the strength of
the statistical
relationship between
score and the
statistic. A "Strong"
relationship is
one that predicts
quite well one
statisitic given
the other (i.e.
the SCORE given
the GIR). A "Weak"
relationship does
not predict as
well.
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As
a comparison,
keep similar statistics
for yourself over
the next 5 rounds
(10 rounds would
be better) and
see how your statistics
are related to
the scores you
shoot.
Let's
say your scoring
average is 89.
You have a goal
to get down to
breaking 80, thus
a scoring average
of 79. Compared
to overall average
golfer statistics,
you need to improve
by:
† increasing GIR
from 3 to 8 (267%
increase)
† increasing
Iron Accuracy
from 20 to 53% (265%
increase)
† reducing
Putts per Round
from
35.0 to 31.7
(9.5% decrease)
† reducing
Pitch/Chip/Sand
from 15.6 to 9.8 (37% decrease
 |
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Your
ball striking
and thus swing
would need to
improve immensely
to reach your
goal. Imagine
how much less
improvement is
necessary with
the short game
to realize lower
scores. I recommend
you buying
Dave Pelz's
book to help out.
I've
also done my own
statistical study
on amateur golfer
statistics. Using
a similar range
of handicaps as
Riccio, I've analyzed
scores from my
own golf club's
tournaments. Click
on the highlighted
link, Fair
Handicap Analysis.
< >From www.usga.org
, they have a listing
of Men's Handicap
Indexes and percentages
in each category.
Even though this
would not include
all golfers, it's
a pretty good representative
sample.
< >70% of men have
indices between
7 and 23, corresponding
to scores of about
77 to 93, with an
average of 85 (assuming
a course rating
of about 70).
PGA Tour 2007 Analysis -- GIR, Score and Fairway Accuracy
I'm a subscriber to TourCast that's sponsored by the PGA Tour. I use it to collect statistics of Tour players. I'm most interested in overall tournament statistics. I recently looked at the Nissan Open (Riviera in LA) and AT&T Pebble Beach tournaments.
I focused on Par 4 holes. I found that scoring average hole is signficantly lower when players hit their second shots from the fairway. Below is a graph of Score versus Overall GIR.

Over the rounds of both tournaments, the average GIR when players hit the fairway was 61% while when hitting from the rough, it was 44%. From the graph above, a 61% GIR yields an average score of about 4.06 and a 44% GIR yields an average score of 4.22. That's 0.16 strokes per holes. Courses usually have about 10 - 12 par fours. For a course with 12 par fours, hitting from the rough would add 12 X 0.16 = 1.92 stokes to a round.
An average of 1.92 strokes per round more on the PGA Tour is HUGE!! On the 2006 Tour, that's the difference between being #1 ($9.9 Million) and #13 ($2.6 Million) OR the difference between being #20 ($2.6 Million) and #182($1.0 Million).
Amateurs hit fewer fairways than do pros which would mean the cost is even greater than 1.92 strokes per round. And, amateurs are less able to hit decent shots from the rough so there would be an even great differences
For amateurs, especially, it's much more important to hit the fairway than to hit it long.
Try a little experiment. For five rounds or so, instead of hitting a Driver off the tee, hit a fairway wood or hybrid and keep track of how many fairways you hit and how many greens you hit. With the greater loft, you'll hit fewer errant shots and find more fairways.
The goal of the game is to shoot the lowest score, isn't it???