How Can We Convert the Odds Ratio to Probability in Sports Handicapping?

Here is a fairly simple question with an equally simple and straightforward answer.  How does one convert the odds ratio to the probability of winning in sports handicapping.  Crazy as it sounds, this question was right up my high school baseball coach’s alley, as he was also my teacher in probability and statistics (some fun school class I had back in the day).  And yes, I did just put fun and school in the same sentence.  And no, I wasn’t being sarcastic.  He always made baseball fun, whether at practice, driving on a bus to an away game, or in the game itself.  And his class was fun as well (at least for me).  No idea if he handicapped sports, or if he ever ran equations in his head any time he flashed the bunt or steal sign.  Anyway, without further ado…

Flipping a Coin – What Are the Odds?

So, we all probably have no doubt that a coin flip would result in 50% chance of heads and 50% chance of tails.  The coin only has two sides.  So here, we simple divide our desired outcome (1) by the two possible outcomes (2) and multiply by 100 to give us our answer in a percentage.

1 / 2 x 100

.5 * 100 = 50%

A Roll of a Die (or Singular Form of Dice)

Die or dice, whatever you want to call the singular form of dice.  We have one.  It has 6 sides, what is the probability that we get a 3 from rolling it?  Well, to answer this, we take the 1 desired result (the 3) and divide it by 6 (the 6 possible outcomes).  Then we multiply the answer by 100 to put our answer in percentage form.

1 / 6 * 100

.1667 * 100 = 16.67%

Here, we have a 16.67% chance of rolling our desired outcome.

Types of Odds

The most common forms of odds used today are decimal odds, fractional odds and American odds (the moneyline).  We will go through each below.  First, however, why is this important?  Well, by converting the betting odds into something often referred to as implied probability, we can better access the value of a particular market.  Do they differ from what we believe the odds of winning should be?  If the odds offered to us (the implied probability) are less than or greater than our personal assessment, then this would represent either an increase or decrease in betting value.

Decimal Odds – How to Convert Odds Ratio to Probability in Sports Handicapping

First on the above list, are the decimal odds.  These odds are common in Europe.  The decimal odds represent the amount that is won for every $1 wagered.  Say for example the odds are represented as 2.5, this would imply that for every 1 you wager, you will gain a profit of 1.5 if the outcome was in your favor.  Here, to convert odds ratio to probability in sports handicapping, we would have the following equation:

(1 / the decimal odds) * 100

or

(1 / 2.5) * 100

Quickly, doing the math in my head (kidding, I used a calculator), the answer is 40%

Fractional Odds – How to Convert Odds Ratio to Probability in Sports Handicapping

When I think of the odds represented in a fractional format, I automatically think of horse racing.  Let’s say the odds of Aggressive Neil to win are represented as 9 / 2, how do we translate?  Well the equation is as follows:

Denominator / (Denominator + Numerator) * 100

Or with our 9 /2 example:

2 / (2 +9) *100

Using my overused calculator, I get an 18.18% chance of winning.

American Odds (The Moneyline) – How to Convert Odds Ratio to Probability in Sports Handicapping

Used much in North America for sports such as baseball, basketball, hockey and others, the moneyline is actually not as confusing as one would first think.  Each game or match will have teams with either a plus moneyline or a minus moneyline.  A +180 for example would imply that for every $100 wagered the winnings would be $180 gross or $80 net.  So, the plus moneyline would represent the underdog for the game or match.

Conversely, a -180 line essentially means the team is the favorite to win, and to win $100, one would need to wager $180.  So, here, how do we convert these odds into the probability of winning in sports handicapping?

Well, in the case of the moneyline, we have the following equation for the plus moneyline:

100 / (plus moneyline +100) * 100 (to put it as a percentage)

Or using the example above,

100 / (180 + 100) *100

Here my calculator gives me a 35.71% chance of winning.

And for the minus moneyline, I basically use the absolute value or (in my simple terms) remove the negative sign in the value.  The calculation for chance of winning would then look something like this:

(absolute value of negative line odds) / (absolute value of negative line odds + 100)* 100 (to put it as a percentage)

Or using above example:

180 / (180 +100)  *100

And, here, my calculator throws out a 64.29% chance of winning.

Places Online to Convert the Odds Ratio to Probability in Sports Handicapping

Ok, so maybe I should have blurted out the following websites right up front.  But now, we at least understand the formulas used to convert the odds ratio to probability in sports handicapping.  One webpage I found that calculates these odds into a percentage is from aceodds.com.  Here is the link.

Another webpage, I found is from actionnetwork.com.  Here is the link.

Moneyline (American Odds) to Percentage Conversion Chart

I personally like the online calculators mentioned above for our topic and mission here.  However, you may want a spreadsheet version of the calculations instead.  If this describes you, I’ll throw a quick moneyline to percentage conversion chart at the end of this article.

Why Do the Odds that Bookmakers Give You Not Add Up to 100%

So, why is it that the odds that bookmakers offer do not equate to 100% when combined?  For example, in major league baseball, let’s say the Seattle Mariners are visiting the Oakland Athletics today.  The odds may have the game at Seattle Mariners +120 and Oakland Athletics -130.  Do the above equations and we come up with the Seattle Mariners percentage value of 45.45% and the Oakland Athletics percentage value of 56.52%.  Add the two and we come up with a total percentage value of 101.97%.  What is with this figure?  Well, that 1.97% is the bookmakers edge incorporated into the odds, their expected return for setting up the bet.

Why Do the Odds Move Throughout the Day?

So, you probably have noticed the lines moving throughout the day.  These lines are not static?  In our Seattle Mariners vs. Oakland Athletics game above (which I did grab from a past game played), we again have the odds listed at Seattle Mariners +120 and Oakland Athletics -130.  These were not, however, the odds the game opened at.  The opening odds were actually Seattle Mariners +107 and Oakland Athletics -127.  So, why did this particular sportsbook move the line from +107 to +120 and -127 to -130?  Well, most likely the lines moved to entice more action to the Seattle Mariners.  The sportsbook wants to “balance the books”, and they will move the lines one way or the other to entice more action to one side of the equation.

In Summary

Hey, sportsbooks are around to make money for themselves.  The lines may fluctuate throughout the course of the day in an attempt to match the bets as close to 50% one side and 50% the other.  The left over percentage that we described above is how the books make money.  Let’s say your assessed probability is of a greater percentage than that of the bookmaker’s implied probability.  This creates an opportunity, a value betting opportunity.

And below is the a table of the moneyline to percentage conversion chart mentioned above.

Moneyline	Probability	Moneyline	Probability
350	22.2%	-350	77.8%
345	22.5%	-345	77.5%
340	22.7%	-340	77.3%
335	23.0%	-335	77.0%
330	23.3%	-330	76.7%
325	23.5%	-325	76.5%
320	23.8%	-320	76.2%
315	24.1%	-315	75.9%
310	24.4%	-310	75.6%
305	24.7%	-305	75.3%
300	25.0%	-300	75.0%
295	25.3%	-295	74.7%
290	25.6%	-290	74.4%
285	26.0%	-285	74.0%
280	26.3%	-280	73.7%
275	25.7%	-275	74.3%
270	27.0%	-270	73.0%
265	27.4%	-265	72.6%
260	27.8%	-260	72.2%
255	28.2%	-255	71.8%
250	28.6%	-250	71.4%
245	29.0%	-245	71.0%
240	29.4%	-240	70.6%
235	29.9%	-235	70.1%
230	30.3%	-230	69.7%
225	30.8%	-225	69.2%
220	31.3%	-220	68.7%
215	31.7%	-215	68.3%
210	32.3%	-210	67.7%
205	32.8%	-205	67.2%
200	33.3%	-200	66.7%
195	33.9%	-195	66.1%
190	34.5%	-190	65.5%
185	35.1%	-185	64.9%
180	35.7%	-180	64.3%
175	36.4%	-175	63.6%
170	37.0%	-170	63.0%
165	37.7%	-165	62.3%
160	38.5%	-160	61.5%
155	39.2%	-155	60.8%
150	40.0%	-150	60.0%
145	40.8%	-145	59.2%
140	41.7%	-140	58.3%
135	42.6%	-135	57.4%
130	43.5%	-130	56.5%
125	44.4%	-125	55.6%
120	45.5%	-120	54.5%
115	46.5%	-115	53.5%
110	47.6%	-110	52.4%
105	48.8%	-105	51.2%
100	50.0%	100	50.0%

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