Odds On Bet: Everything You Need to Know About Short Odds Betting

If you’ve ever scrolled through a bookmaker’s odds and spotted something like 1/2 or 1.50, you’ve seen an odds on bet in action.

But what does that actually mean — and more importantly, how do you make money from it?

In this guide, we’re going to break down what odds on bets are, how they differ from other odds types, their advantages and risks, and how savvy punters use them to their advantage.

What Are Odds On Bets?

To truly understand how odds-on bets work — and how they can be used effectively — it’s important to start with the basics of what they are and how they compare to other types of odds.

Definition and Difference from Odds Against

An odds on bet refers to a betting selection where the potential profit is less than your stake. This is the opposite of odds against, where the potential profit exceeds your stake.

• Odds On: You stake £10 to win £5 profit (e.g., odds of 1/2)
• Odds Against: You stake £10 to win £20 profit (e.g., odds of 2/1)

Odds on bets are usually associated with strong favourites — teams or athletes deemed more likely to win.

Odds Formats Explained

• Fractional odds (UK): 1/2 means you win £1 for every £2 staked.
• Decimal odds (Europe): 1.50 includes your stake, so a £10 bet returns £15.
• American odds: Shown as minus odds, e.g. -200, meaning you must bet $200 to win $100.

Use an odds converter or calculator to move between formats easily.

Visual Example:

Implied Probability of Odds On Bets

The implied probability helps you understand the chances the bookmaker thinks the outcome has. For example:

• Odds of 1/2 = Implied probability of 66.7%
• Odds of 4/5 = Implied probability of 55.6%

Formula:
For decimal odds: 1 / Decimal odds = Implied probability

Understanding this helps you find value in short odds by comparing real-world probabilities to what the odds suggest.

Common Misconceptions

• “There’s no value in odds on.” — Not true. Some of the best value bets lie in short-priced favourites.
• “Short odds always win.” — Also false. Favourites lose all the time, which is why bankroll management is key.
• “Low odds mean low risk.” — Lower variance, yes. But losses can still hurt your profit line.

Why Bookmakers Offer Odds On Bets

Bookies aren’t in the business of handing out free money. So why offer odds that return less than your stake?

The Bookmaker Margin (Vigorish or Overround)

Bookies build a margin into their odds — known as the vigorish or overround. This is how they guarantee a profit regardless of the outcome.

In odds on markets, that margin can be higher, especially when the odds on favourite is popular among punters.

Balancing the Books

When a favourite is heavily backed, bookmakers may shorten the odds to protect themselves — influencing market confidence indicators.

Odds On and Market Efficiency

In well-known markets (e.g. Premier League favourites, Grand National favourites), the odds tend to be more efficient due to higher liquidity and sharper pricing.

But in niche sports or lower leagues, overpriced favourites can still exist due to weaker betting market efficiency.

Famous Odds On Markets

• Floyd Mayweather vs Conor McGregor: Mayweather opened around 1/10 – massive odds on.
• Tiger Woods in his prime: Frequently odds on, even in fields of 100+ golfers.

Favourite-Longshot Bias: Why Short Odds Can Be Better Value

One of the most fascinating and misunderstood phenomena in sports betting is the favourite–longshot bias.

While it may sound like something cooked up in a stats lecture, it’s backed by decades of academic research — and it has real-world implications for punters.

In short, the favourite–longshot bias reveals that bookmakers tend to underprice favourites and overprice longshots, meaning that odds-on bets often offer better long-term value than most people realise.

📚 What the Research Shows

The favourite–longshot bias was first formally studied in the late 1940s, with several landmark academic studies confirming its persistence across different sports and time periods.

Let’s look at three key pieces of research.

1. Griffith (1949) – The Original Study

This early study of US horse racing revealed that:

• Bets on favourites (e.g. 2/1, 4/5) tended to outperform their implied probabilities, returning closer to break-even or even profit.
• Bets on longshots (e.g. 20/1, 50/1) underperformed badly, returning far less than their implied probabilities would suggest.

In other words, punters consistently overestimate the chances of outsiders winning.

2. Thaler & Ziemba (1988) – Market Inefficiencies in Racing

In their seminal paper, “Parimutuel Betting Markets: Racetracks and Their Discontents,” economists Richard Thaler and William Ziemba expanded on Griffith’s findings using a large dataset from US racetracks.

Key findings included:

• The expected return on a $2 bet fell as odds increased — bettors consistently lost more money backing longshots than favourites.
• Odds-on favourites (less than even money) actually produced higher average returns than many higher-priced selections, even after accounting for the bookmaker’s margin.
• The market was inefficient, failing to reflect the true probabilities of outcomes — particularly at the extreme ends of the odds spectrum.

This study reinforced the idea that short-priced favourites can offer better long-term value than they initially appear to.

3. Cain, Law & Peel (2000) – UK Horse Racing Study

A more recent and contextually relevant UK-based study was conducted by Cain, Law, and Peel (2000) and examined the fixed-odds football betting market in the UK.

Their paper, “The Favourite–Longshot Bias and Market Efficiency in UK Football Betting,” analysed thousands of football match odds and outcomes.

Key findings:

• The favourite–longshot bias persisted strongly in football betting markets.
• Backing favourites consistently produced a higher return than backing underdogs, even after accounting for the bookmaker’s overround.
• The market was not fully efficient, meaning that savvy bettors could exploit mispriced favourites.
• The degree of bias was more pronounced in matches with clear favourites, such as top vs bottom-tier teams.

This study confirmed that the bias extended beyond racing and into mainstream sports markets like football — and that odds-on favourites in football may often be underbet, leaving opportunities for value.

🧠 Why the Bias Exists

There are a few psychological and behavioural reasons for this phenomenon:

• The thrill of a big win: Punters are drawn to high returns, even if the chances are tiny.
• Poor probability estimation: Many bettors can’t accurately assess low-probability events.
• Narrative bias: People love underdog stories, which are often overhyped by the media.
• Entertainment over strategy: Recreational punters bet for fun, not profit — and fun often means backing a 100/1 outsider for a laugh.

✅ What This Means for You: Value in Short Odds

If you’re serious about building long-term profit, you should be less interested in jackpot wins and more interested in finding value — even if it’s at 1/2 or 4/6.

Here’s why:

• Odds-on favourites win more often, so variance is lower.
• Implied probability gaps are smaller — meaning you only need a slight edge to beat the market.
• Bookmakers often price favourites conservatively, leaving room for you to profit if you do your research.

Tipsters Who Specialise in Favourites

When it comes to betting on favourites, many punters struggle to consistently find value. That’s where experienced tipsters can make all the difference — especially those who focus exclusively on short odds betting.

🏆 Recommended Favourite-Focused Tipsters

Here are a few highly regarded services that have shown strong performance with short-odds bets:

1. First Class Racing

🔗 Full Review

• First Class Racing<