🏟️ Which soccer league does AI predict best?

⚖️ “Predicting best”: hit rate and profit are not the same thing

When someone asks which league an AI predicts best, they may be asking two different things. The first is how often it is right. The second is how much money you make if you follow it (profit as a share of the amount staked, which in betting jargon is called yield).

They are different measures and they sometimes contradict each other: an AI can be right 65 times out of 100 and still lose money if it only picks very low odds, because each win pays little and each loss costs a lot.

• Hit rate: predictions that came in divided by predictions settled.
• Profit (yield): net profit divided by the amount staked, following the suggested stake (the bet size the AI recommends).
• Sample: how many picks are behind the number. With few picks, the number misleads: an 80% hit rate over 27 picks weighs far less than 58% over 75.

To answer, we use the public Gambeta record: 1,864 settled predictions between March 21 and November 14, 2026, with an overall hit rate of 55.6% and an overall profit of 1.5%. Picks still pending or voided do not count.

📊 The full ranking of soccer leagues

This is the entire table, without hiding the leagues where the AI did badly. Each league links to its predictions page, with upcoming matches and competition stats.

Picks settled from March 21 to November 14, 2026, sorted by profit. Sample: large = 150 picks or more; acceptable = 50 to 149; small = 20 to 49; very small = fewer than 20. “±” is the margin of error on the hit rate (95% confidence). Source: public CSV of the record.

Quick read: of the 16 leagues in the table, 9 make money and 7 do not. Soccer as a whole is close to break-even (56.7% hit rate and −0.7% profit over 1,172 picks), so choosing the right league matters.

🥇 The leagues where the AI does best

🌎 Copa Libertadores: the biggest earner with an acceptable sample

The Libertadores leads among leagues with an acceptable sample (50 picks or more): 58.7% hit rate and +7.8% profit over 75 picks. It is the best balance in the table: it hits often enough and the odds pay enough. With 75 picks there is enough data to take it seriously, though not to take it for granted. Even so, the margin of error on the hit rate is ±11 points, so the prudent reading is “it is doing well,” not “it will always win.”

🇧🇷 Brasileirão and 🇮🇹 Serie A: the second tier

The Brasileirão delivers a 59.2% hit rate and +7.3% (71 picks). Serie A, 59.2% and +5.9% (76 picks). These are leagues with a long calendar and plenty of public information, so the AI has material to read: recent form, goals for and against, home advantage, absences. The profit is more modest than the Libertadores’, but consistent with a real, small edge.

🇫🇷 Ligue 1 and 🇺🇸 MLS: positive, but thin

Ligue 1 has the highest hit rate among the big European leagues (60.7%) with +4.3% profit (61 picks). The MLS posts 59.3% and +4.5% (59 picks). In both, the profit is positive but small: one bad run and it disappears.

⭐ Champions League: hits a lot, earns little

The Champions League is the best example of why hit rate and profit are not the same: 64.9% hit rate, one of the highest in the table, but only +2.6% profit (37 picks). Why? Because the bets are on favorites at low odds (the average odds in the record for this competition are 1.75). Each win pays little, and a couple of losses wipe out several wins.

🇹🇷 Süper Lig and 🏆 World Cup 2026: the two numbers not to over-read

The Süper Lig has the highest hit rate of all, 81.5%, and +44.0% profit. But that is only 27 picks: with a sample that small the margin of error is ±15 points. It is a signal to keep watching, not a conclusion.

The 2026 World Cup was even better (80.4% hit rate and +31.7% over 56 picks, from June 11 to July 19). It was a real and excellent result, but the tournament is over and does not return until 2030: it is not a league to “follow,” it is a good memory.

⚠️ Where the AI does worst (and why we publish it anyway)

An honest ranking has to show the bottom of the table. The leagues where the AI did worst are La Liga (−13.0%, 90 picks), Liga MX (−20.2%, 38) and Segunda División (Spain) (−32.1%, 24 picks, small sample). The Premier League (−6.9%, 94 picks) and the Liga Profesional (Argentina) (−5.6%, 99 picks) are also in the red.

Why? We cannot prove it with this data, but there are two reasonable hypotheses. The first: the most-watched leagues in the world (La Liga, the Premier League) have the tightest odds, and it is harder to find an edge where every bookmaker has already read the same information. The second: in leagues with little public data or heavy squad turnover, the model has less information to work with.

We publish it because it is useful to you: if you followed the AI in La Liga, you are better off betting less there or skipping it altogether. And for us it is the signal of where to improve the model. The detail of every pick is in the verified record.

🚦 The league traffic light: where to bet normally, where to bet little and where to watch

For anyone who prefers a short version of the table, here is the same ranking in three colors. The rule is simple and out in the open:

• 🟢 Green: profit of +3% or more with 50 picks or more. Copa Libertadores, Brasileirão, Serie A, MLS, Ligue 1.
• 🟡 Yellow: near zero, or a good result with a small sample. Süper Lig (Turkey), Eredivisie, Champions League, Copa Sudamericana, Bundesliga.
• 🔴 Red: profit of −5% or worse. Liga Profesional (Argentina), Premier League, La Liga, Liga MX, Segunda División (Spain).

It is a guide for splitting your attention, not a ban: a red league can have good picks, but taken together it has not given an edge.

🔍 What the AI looks at in every match of a league

The model does not “know” leagues: it reads match data. For each match it cross-checks the recent form of both teams, goals scored and conceded, head-to-head record, absences, the assigned referee and home advantage, and compares that against the best odds available. If it does not find a difference in its favor, it does not publish a pick. That is why some matchdays have few predictions, and why the number of picks for each league in the ranking is so different.

Two consequences for reading the table:

• More picks is not better: a league with few picks may be a league where the model found few edges, not an “ignored” league.
• Data quality matters: in leagues with less public information (rotating squads, few stats), the model has less to work with. It is one of the hypotheses in the section on leagues in the red.

🧮 How to repeat the math yourself (5 minutes with the CSV)

You do not have to take our word for it. The full record can be downloaded and checked in Excel or Google Sheets:

1. Download the public CSV of the record and open it in your spreadsheet.
2. Filter the resultado column to keep only win and loss (pending and voided picks do not count).
3. Filter the liga column by the league you want to measure.
4. Hit rate = number of win rows divided by the total number of rows.
5. Profit (yield) = sum of the ganancia column divided by the sum of the stake column.

If your math comes out different from the table, tell us: we will check it. It is the simplest way to confirm the numbers are not window dressing.

🧪 Can you trust a ranking built on eight months of data?

With care. The ranking measures 1,864 picks spread across 16 leagues, and each league has between 24 and 99 picks. At that size, chance still weighs a lot.

An example with numbers: if the AI truly hits 58% of the time and is measured over 75 picks (like the Libertadores), the result can land anywhere between 47% and 69% on luck alone. That is why the table includes the margin of error (±11 for the Libertadores).

• The leagues in the middle of the table (±3 points of profit) cannot be told apart from chance: do not use them to decide anything.
• The ones at the top and the bottom with an acceptable sample (Libertadores, Brasileirão, Serie A / La Liga, Premier League) are the strongest signal we have today, with a margin of error that is still large.
• The ones with a small sample (Süper Lig, Segunda División, Eredivisie) are a clue, not a conclusion.

And one more thing: rankings move. A league at the top today can be in the middle in three months. That is why this page shows the date of the data and gets updated.

🚫 Common myths about “the best league to bet on”

“The league with the highest hit rate is the best”: false, the Champions League hits a lot and earns little. Always look at profit, not just hit rate.

“Famous leagues are easier”: the opposite. The Premier League and La Liga are among the worst for the AI, because the odds are already very tight.

“If the AI won in a league, it will always win”: false, with 50-70 picks chance still weighs a lot. It is a clue, not a guarantee.

Understanding these limits keeps you from betting big where there was only a good run.

🎯 How to use this ranking without hurting yourself

1. Start with leagues that have positive profit and an acceptable sample. Libertadores, Brasileirão, Serie A, Ligue 1 and MLS are the ones in the table.
2. In leagues in the red, bet less or skip. You do not need to play every pick that comes out.
3. Respect the minimum odds of every pick. If your bookmaker pays less, that pick stops having value (the guide to value betting explains why).
4. Do not put everything on a single league. A good run in the Libertadores does not change the fact that soccer’s overall profit is small.
5. Cross-check the data with the market. In the next article of the series we look at which market the AI hits best, and you will see that within the same league some markets pay off and others do not.

🚀 Check the numbers for your favorite league

Every league has its own page with the week’s matches and the AI’s read:

• Copa Libertadores · Brasileirão · Serie A · Ligue 1 · MLS · Champions League
• La Liga · Premier League · Bundesliga · Liga MX · Liga Profesional

See today’s predictions →

Want to compare with other sports? Keep going with which sport does AI predict best?, where soccer is measured against baseball, hockey, tennis, basketball and the NFL.

❓ Frequently asked questions

👉 If you want to see how AI, bots and automation fit together, read technology in sports betting. And if you are starting from scratch, the starting guide is AI for sports betting: what it is and how to use it.

Data updated on November 14, 2026