Underdogs vs favorites betting is one of the oldest arguments in the game, and most beginners pick a side too early. Favourites win more often, so backing them feels safe. Underdogs pay more when they land, so backing them feels clever. Both instincts are half right and half a trap. The favourite usually wins, but the short price often pays you too little for the risk. The underdog usually loses, but now and then the price is far too generous. The skill is not picking a camp. It is reading the price against the real chance and only betting when the number is wrong in your favour. Our wider sports betting strategies hub sets the same idea in a fuller context, and this guide narrows it down to the favourite-and-underdog question.
Quick answer
Favourites win more often but pay short odds, so a high hit rate does not always mean profit. Underdogs win less often but pay bigger, so a low hit rate can still profit if the price is generous enough. Neither side is better by default. What matters is value: back a selection only when your estimate of its real chance beats the chance the odds imply.
What favourites and underdogs actually are
The favourite is the selection the market rates as most likely to win, shown by the shortest odds. The underdog is the one priced longer, the outcome the market expects to lose more often. These labels sit on the straight win market, the same one covered in our guide to moneyline pricing. That is all the labels mean. They describe what the market thinks, not what will happen.
The first thing to fix in your head is that odds are a probability in disguise. To turn a decimal price into the chance it implies, divide 1 by the odds. A favourite at 1.50 implies 1 / 1.50, about 66.7%. An underdog at 4.00 implies 1 / 4.00, which is 25%. If that conversion feels shaky, our breakdown of how betting odds turn into probability walks through it step by step. So the price is already telling you how often the market expects each side to come in. Your job is to decide whether that figure is too high, too low or about right.
There is a built-in catch. Bookmakers add a margin to every market, so the implied chances across all outcomes add up to more than 100%. That margin, sometimes called the bookmaker overround, is why a fair-looking favourite can still be poor value. The price has been shaded against you before you even form a view.
Why heavy favourites are often poor value
Backing favourites feels comfortable because you win most of the time. The problem is what you get paid for that comfort. At very short odds, the profit on each winner is tiny, so a single upset can wipe out a long run of small returns.
Take a favourite at 1.20. That price implies an 83.3% chance of winning. To break even at 1.20 you need to win 83.3% of the time, because each winner returns only 20p profit per 1 staked while each loser costs the full 1. So the price already demands a very high strike rate just to stand still. If the true chance is 83.3%, you make nothing in the long run. The bet only profits if the real chance is higher than that, and at such short prices the margin usually leaves little or no room.
Heavy favourites also attract casual money. People back the obvious winner without checking the price, which pushes the odds even shorter than the real chance justifies. That is how a favourite that genuinely wins eight times in ten can still be a losing bet at the price on offer. Winning often is not the same as winning money, which is also why stacking short favourites into parlays and accumulators tends to compound poor value rather than escape it. The same shading shows up wherever the crowd piles onto the obvious result. When you scan the football match odds at Campeonbet, you will often see the shortest prices bunched together, a sign the obvious result is already priced tight.
When an underdog price is worth taking
Value underdog betting works on the same maths, read the other way. An underdog loses more often than it wins, but each winner pays enough to cover several losers. The question is whether it pays enough.
Say an underdog is priced at 4.00, implying a 25% chance. If you have studied the matchup and think the real chance is closer to 33%, the price is paying you for a 25% shot when the true odds are nearer one in three. That gap is value, and it is where underdog betting earns its keep. You will still lose this bet most of the time. Roughly two times in three you get nothing. But across many bets like it, the winners at 4.00 more than cover the losers, because the price overpaid for the risk.
The honest part is that good underdog spots are rarer than people hope, and they take real work to find. You are looking for reasons the market has the price wrong: a key player back from injury, a stylistic mismatch, a favourite resting before a bigger fixture, weather that suits the longer shot. Without a concrete reason, a long price is usually long for good cause. Backing underdogs on hope, not evidence, just bleeds your bankroll slowly.
A worked example: same match, two prices
Picture a cup tie. The favourite is 1.40, the underdog is 4.00. You stake 10 on each in separate scenarios and look at what the price demands versus what you believe.
| Selection | Odds | Implied chance | Break-even strike rate | Profit if it wins (10 stake) |
|---|---|---|---|---|
| Favourite | 1.40 | 71.4% | 71.4% | +4.00 |
| Underdog | 4.00 | 25.0% | 25.0% | +30.00 |
The break-even strike rate is simply the implied chance: that is the win rate you need just to come out level at the price. If you want to see the numbers behind break-even and strike rates laid out fully, that guide covers the working. Now bring in your own view. Suppose you have studied the tie and estimate the favourite’s true chance at 70% and the underdog’s at 30%.
Run the expected value on each. Expected value weighs each outcome by how likely you think it is, and our deeper look at calculating expected value shows why it is the single number that decides whether a bet is worth making.
| Bet | Your win chance | Profit if win | Loss if lose | EV per 10 staked |
|---|---|---|---|---|
| Favourite at 1.40 | 0.70 | +4.00 | -10.00 | -0.20 |
| Underdog at 4.00 | 0.30 | +30.00 | -10.00 | +5.50 |
For the favourite: (0.70 x 4.00) minus (0.30 x 10.00) gives 2.80 minus 3.00, which is -0.20. Even though you expect it to win 70% of the time, the price needs 71.4%, so the bet loses a little over the long run.
For the underdog: (0.30 x 30.00) minus (0.70 x 10.00) gives 9.00 minus 7.00, which is +5.50. You expect it to lose most of the time, yet the price pays so well that the bet is strongly positive over many tries.
This is the whole argument in one example. The favourite is the more likely winner and still the worse bet, because the price asks more than its real chance. The underdog is the long shot and the better bet, because the price hands you more than the risk deserves. Likelihood and value are not the same thing.
Favourite vs underdog: a side-by-side comparison
It helps to see the trade-offs laid out plainly rather than as a gut feeling.
| Feature | Backing favourites | Betting on underdogs |
|---|---|---|
| Typical odds | Short (e.g. 1.20 to 1.80) | Long (e.g. 2.50 and up) |
| Hit rate | High, you win often | Low, you lose often |
| Payout per winner | Small | Large |
| Effect on bankroll | Slow, steady, small swings | Choppy, long dry spells, big spikes |
| Main risk | Overpaying for the obvious | Backing long prices with no real edge |
| Where value hides | Slightly mispriced shorter shots | Genuinely overpriced longer shots |
| Mindset needed | Patience with small margins | Discipline to wait for real overpricing |
Neither column is a strategy on its own. Plenty of profitable bettors back favourites; plenty back underdogs. What they share is that they only bet when the price is wrong in their favour, and they pass when it is not. The label on the selection matters far less than the gap between the price and the real chance.
Bankroll and mindset by side
The two styles feel completely different to bet, and that matters more than people expect. Backing favourites gives you frequent small wins and occasional sharp losses. It is easy on the nerves day to day, but a couple of upsets can erase weeks of grind, so flat, sensible stakes matter. Betting on underdogs is the reverse: long stretches of nothing, broken by the odd big winner. You need the temperament to sit through the dry spells without chasing, because the maths only works if you keep staking the same on every qualifying spot.
Mixing both is fine, and most bettors do. What you should not do is switch styles mid-run because one is cold. A favourite-heavy approach judged over ten bets tells you nothing; the same goes for underdogs. Pick a staking plan, apply it to whichever side offers value that week, and judge results over a large sample, ideally by tracking your return on investment over time rather than the result of any single week. When you compare the odds against your own estimate before committing, that is the moment all of this theory turns into an actual decision.
Frequently asked questions
Is it better to bet on favourites or underdogs? Neither is better by default. Favourites win more often but pay less, so you need a very high strike rate to profit. Underdogs win less often but pay more, so fewer winners can still turn a profit. The deciding factor is value, whether the price beats the real chance, not the label itself.
Why do favourites lose money even when they win most games? Because the odds are short. A favourite at 1.20 only returns 20p per 1 staked, so one loss cancels several wins. If the price implies a higher chance than the team truly has, the bet loses over time even with a high hit rate. Winning often and winning money are different things.
How do I know when an underdog is worth backing? Compare your estimate of its real chance with the chance the odds imply. Divide 1 by the decimal price to get the implied chance. If you have a concrete reason to think the real chance is meaningfully higher, the price has value. Without a specific edge, a long price is usually long for good reason.
Does backing underdogs win more in the long run? Not automatically. Underdogs only profit when their prices are genuinely too generous, which is rare and takes work to spot. Backing long shots blindly loses money just as fast as overpaying for favourites. The long-run result depends on finding mispriced prices, not on the underdog label.
What is implied probability and why does it matter here? Implied probability is the win chance baked into the odds, found by dividing 1 by the decimal price. It tells you how often the market expects a selection to win. Comparing it against your own estimate is how you spot value on either a favourite or an underdog. For more grounding, our football betting strategies guide applies the same idea to specific markets.
Conclusion
Underdogs vs favorites betting is not a choice between safe and clever. Favourites win often but the short price frequently overpays for the obvious, while underdogs lose often but now and then the price is far too generous. The worked example shows it cleanly: the more likely winner can still be the worse bet, and the long shot can be the smart one, purely on price. Judge every selection the same way, by holding your estimate of its real chance against the chance the odds imply, and only bet when that gap favours you. To build this into a fuller routine, carry on with our beginner betting guide.
BetWise specialises in sports betting guides, betting strategies, odds, and betting market analysis. Through educational content and practical insights, BetWise helps readers build their understanding of sports betting and major sporting events.
