ATP tennis betting research · data, not picks

Favorites or Underdogs?

See where favorites and underdogs have historically made or lost money across the ATP Tour — tournament by tournament, player by player.

The data most tennis bettors ignore.

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41,000+
ATP Matches
2010–2026
Coverage
Pinnacle
Closing Odds
500+
Player Profiles
Weekly
Updates
The Problem

Most bettors think their research is done.It isn't.

Recent form, head-to-head, surface, injuries, last-minute news. It's all one click away — and public by the time you read it.

Nobody checks the other side of the question: how favorites and underdogs have actually behaved in that tournament, on that surface, in that round, at that price — or how a specific player performs as a favorite and as an underdog.

None of it tells you who to bet. Think of it as the last layer of analysis rather than the first — an extra lens you bring in once the usual work is done. It doesn't replace anything a serious bettor already does. It finishes it.

Because markets carry biases at different levels — and spotting them can tip the balance in your analysis.

The App

From the Entire Circuit to a Single Player

Three levels of zoom, one question at every level: who made the money — favorites or underdogs? Nobody backs every favorite or every underdog blindly. The point is spotting where the market has leaned, and how far.

01 · Tour

The whole circuit

Start wide. Every ATP main-draw match since 2010, sliced by the conditions you actually bet in.

  • How have favorites and underdogs behaved in Masters 1000 events on hard courts?shown in the chart
  • Do short-priced favorites hold up in Grand Slam first rounds — or is that where the money goes?
  • What has happened in the 2.00–3.50 band across the entire circuit, rather than "underdogs" as a whole?

FiltersTournament type · surface · round · odds band · period, from this season to all time

FavOrDog Tour view - Masters 1000 on hard courts

Masters 1000 · Hard · all rounds, all years. Favorites −4.1%, underdogs +2.6%, across 5,502 matches — and split into three price tiers, because "favorites" is not one thing.

02 · Tournaments

One tournament at a time

The tour average hides the venue. Every stop on the calendar has its own behaviour, round by round.

  • How have favorites and underdogs behaved at Roland Garros over fifteen years?shown in the chart
  • How does any single tournament behave — not the tour average, this venue?
  • And the events being played this week — what has usually happened there?

FiltersAny ATP tournament · round by round · this week's events one click away

FavOrDog Tournaments view - Roland Garros

Roland Garros · all rounds, all years. Underdogs −17.9% against favorites +1.2% over the same 2,127 matches — and the longer the price, the worse it got. Nineteen points apart at a single tournament — a gap the tour average hides completely.

03 · Players

One player at a timeNEW

500+ profiles, built from ATP main-draw matches and broken down to the individual match. The same player is two different bets depending on whether he walks on court as the favorite or the underdog.

  • Is a player priced fairly as a favorite and as an underdog, or only as one of them?shown in the chart
  • Has backing him as an underdog been profitable, or does it only feel that way?
  • Does his ROI survive when you stop staking flat?

StakingFlat stake, or unit impact — bigger stakes on short prices and smaller ones on longshots, the way most bettors actually bet

FavOrDog Players view - Bublik profile

Bublik A. · all time, all surfaces, backing him. −2.6% ROI as a favorite, +25.6% as an underdog. As a favorite the market has him about right; as an underdog it has been slow to catch up. Same player, two very different bets.

What this looks like in practice

You're looking at a match at Roland Garros. The underdog is priced at 3.50, you like his record on clay, and the number feels generous.

Before you bet, you check what has actually happened to underdogs at that tournament: −17.9% across 2,127 matches. Then you narrow it to the band your price actually sits in — mid-dogs, 3.00 to 5.87 — and it gets worse: −20.8%.

That doesn't mean your bet is wrong. It means the bar just moved: you now need a specific reason to believe this one is different. Sometimes you'll have one. Often you won't — and you'll have saved a stake.

FavOrDog never makes that call for you. It makes sure you make it knowing what has happened over the last fifteen years.

The Data

Why you can trust the numbers

Analytics are only as good as the data underneath. Sourcing it, cleaning it and keeping it current is months of work — here's exactly what that work produced.

01Closing odds, not opening prices

Every match is priced at Pinnacle's closing odds — the sharpest, most informed price in the market, after all the money is in. Measuring against anything softer would flatter the results.

02Main draw only

Grand Slams, Masters 1000, ATP500 and ATP250 main draws. No qualifiers, no Challengers, no doubles, no exhibitions — nothing that would pad the sample with matches you don't bet the same way.

03Retirements handled explicitly

Walkovers and matches abandoned before a full set are excluded, not silently counted as wins or losses. Small decisions like this move returns by more than most people expect.

04Updated every week

New matches are loaded weekly during the season, with the same pricing source and the same rules. The date of the latest data is shown inside the app, always.

Honest Fit

Who this is for — and who it isn't

Better to know before you pay than after. Most serious tennis bettors will recognise themselves on the left.

FavOrDog is for you if…

  • You bet tennis seriously and want the full historical record of how favorites and underdogs have behaved — by tournament, by surface, by round, by price and by player
  • You've noticed this is the one layer of analysis almost nobody does, and you'd rather have it done than build it
  • You make your own decisions and just need better inputs
  • You care about closing prices and understand why they matter
  • You'd rather test an idea in two minutes than argue about it for an hour

It's probably not for you if…

  • You want daily picks or someone to tell you what to bet
  • You're looking for a guaranteed system or a promised ROI
  • You expect live odds or in-play tools — this is historical analysis
  • You need raw data exports for your own models
  • You bet WTA only — this version covers the men's tour
Pricing

Choose Your Access

One product, two ways in. Same app, same data, same updates.

Paid Access
€300
One-time payment · 12 months of access

Get full access to the FavOrDog app for 12 months. All filters, all charts, all data. Weekly updates included. No monthly plan — annual only.

  • Tour, Tournaments and Players
  • Weekly data updates all season
  • No auto-renewal
Create Account
Create your account, then choose paid or free access on the next page. If you pick free access, you'll get your BetInAsia or MadMarket link right there.
Who's Behind This

Built by a tennis bettor,
for tennis bettors

I'm Nishi. I built FavOrDog because I needed it myself. No tool out there gave me the data I wanted in the way I wanted it.

Everything in the app is something I use before placing my own bets — which is also why there are no picks in it.

FAQ

Frequently Asked Questions

What exactly is FavOrDog?

A research tool for one specific question most bettors never ask: how favorites and underdogs have actually performed, depending on where, on what, against whom and at what price. 41,000+ ATP main-draw matches since 2010, filterable by tournament, type, surface, round, odds range — and player by player.

Do you sell picks or predictions?

No. FavOrDog gives you the historical record; the conclusions and the bets are yours. Past performance never guarantees future results — and any tool that tells you otherwise is selling you something else.

Why closing odds and not the price I could have taken?

Prices you personally could have taken vary by bookmaker, by timing and by how limited your account is — there is no consistent way to measure against them. The close is the market's final and sharpest estimate, which makes it the one yardstick everyone can compare notes on.

Why do favorites and underdogs behave so differently from one place to another?

Because prices are set by a market, and markets carry the habits of the people betting into them. Longshots attract money for reasons that have nothing to do with probability, and that pressure shows up in the odds — in some contexts far more than others. Roland Garros is the clearest example in the whole database: backing underdogs there returned −17.9% across 2,127 matches, and the longer the price, the worse it got. That is not a run of bad luck; it's a structural tilt, sitting in plain sight, that almost nobody measures. Finding where the tilt is steepest is what this tool is for. Deciding whether to act on it is your job, not mine.

Why Pinnacle odds specifically?

Because Pinnacle is where serious bettors price the market. It runs on low margins and high limits, it welcomes winners instead of restricting them, and its closing line is widely treated as the most efficient number available in tennis. Measuring against it means the results here are not flattered by a soft price nobody could actually get. One consequence worth knowing: if you bet through a broker, with several books and exchanges to choose from, you should regularly beat the Pinnacle close — which makes every ROI figure in this app a conservative floor rather than a ceiling.

What staking method is behind the ROI figures?

Two, and you switch between them with one click. Flat stake is one unit on every match — simple, but it lets a couple of lucky longshots inflate a player's ROI. Unit impact follows how bettors really bet: bigger stakes on short prices, smaller ones on longshots. Each bet is sized so the gap between winning and losing is always exactly 1u — at odds 2.00 you stake 0.50u, at 1.50 you stake 0.67u, at 5.00 just 0.20u — so every match moves the bankroll by the same amount. If a pattern survives both methods, it's more likely to be real. It's a robustness check, not a betting system. Unit impact is based on the method introduced by Barge-Gil & García-Hiernaux (2019) — read the paper.

Will this make me a winning bettor?

On its own, no — and nobody selling you a tool can honestly promise that. What it does is replace assumptions with the actual record, so your decisions rest on something firmer than folklore.

How much does it cost?

€300 for 12 months of full access. One-time payment, no monthly plan, no auto-renewal surprises.

How does the free access work?

Open an account at one of our partner brokers (BetInAsia or MadMarket) through our link and deposit at least €50. You get the same 12 months of full access at no cost — plus 0.11% lifetime cashback on all your bets.

Is there a free trial?

No trial — but the broker route above is a genuine €0 path to the full product for 12 months.

Can I export the data?

Not in the current version. All analysis happens inside the app, with charts and data tables side by side.

How often is the data updated?

Every week during the season, once the tour's matches are complete and priced — same sources, same rules as the historical data. Every view in the app carries the date of the most recent match loaded, so you always know exactly how current the numbers in front of you are.

Don't be one of them.

The data most bettors ignore is one click away.

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