📊 “Where the AI does best” series: How to use the Results filters · The AI's best sport · The best markets · The best leagues · The best combination.
Where the Results filters are
The filters live on the AI Results page on gambeta.ai.
It's the public record of every pick, with its odds, its stake, the score and what each one won or lost.
There you'll see a bar with five dropdown menus and, above the table, two tabs: Results (picks already played) and Pending (picks not played yet).
🔎 Try the filters yourselfThe AI's Results page, with the full track record and every pick in plain sight.Open Results →The 5 Results filters at a glance
| Filter | Options | What it's for |
|---|---|---|
| 🏅 Sport | All, football, baseball, tennis, basketball, NFL, hockey and any that get added | See which sport the AI does best in |
| 📅 Date | All, Today, Weekend, Week | See how the AI has been doing lately |
| 🎯 Confidence | All, Max ($170), High ($130), Medium ($50 or $30) | See whether the safest picks do better |
| 🌐 League | The leagues in the track record, with picks and profit | See which league it does best in |
| 🎲 Market | 1X2, double chance, goals, both teams to score and more | See which market is best |
This is what the bar looks like, with one menu open (it's an illustration, the names and numbers are examples):
Each League and Market option shows in parentheses how many picks it has and how much it won or lost in dollars.
1. Sport
It starts on “All” and lets you narrow things down to a single sport.
It's the fastest way to answer “which sport does the AI do best in?”.
2. Date
It filters by when the pick was played: All, Today, Weekend (Saturday and Sunday) or Week (the last 7 days).
It's useful for seeing the trend, not for drawing conclusions: a single week has very few picks.
3. Confidence
Every pick has a confidence level that sets how much to bet: Max ($170), High ($130) and Medium ($50 or $30).
Filtering by confidence tells you whether the picks the AI marks as the safest really do better.
4. League
The menu builds itself from the leagues in the track record, sorted from highest to lowest profit.
It's the filter for seeing which tournament the AI pulls ahead in.
5. Market
It also builds itself: 1X2, double chance, over/under goals, both teams to score, handicap, corners, cards and player props.
It's the filter for seeing which type of bet it handles best.
A difference in names, so you don't get confused.
In the app's Market menu, the baseball and tennis winner shows up as “Home to win” and “Away to win”, mixed in with the football 1X2.
In the rankings of this series we split them out as “Winner (MLB)” and “Winner (tennis)” so we don't compare different things.
To reproduce them in the app, combine the Sport filter with the Market one.
How to read the cards at the top: Total, Win rate, Streak, P/L and ROI
The first thing you see on Results is five cards, and all of them recalculate with the filters you chose.
| Card | What it measures | How to read it |
|---|---|---|
| Total | How many picks are left after filtering | It's the sample: the bigger it is, the more reliable everything else is |
| Win rate | The percentage of picks that came in | Compare it with what the odds implied |
| Streak | The current run of hits or misses | It has a short memory: it predicts nothing |
| P/L | Profit or loss in dollars | It depends on each pick's stake |
| ROI | Net profit ÷ amount wagered | The best way to compare two filters against each other |
Further down there's a chart of cumulative performance, with ranges (1D, 5D, 1M, 3M, 1Y and MAX), which also follows your filters.
If you want to understand every data point in the table, see how to read the AI's results.
How to combine the filters to see where the AI does best
- Start with Sport: pick one and note the ROI and the total number of picks.
- Add Market: within that sport, see which market has the best ROI.
- Add League: within that sport and market, see whether any league pulls ahead.
- Check Confidence: does the result change if you keep only High and Max?
- Be wary of small groups: every filter you add shrinks the group.
That last point is the most important one, and it's the one behind every ranking in this series.
Why ROI without context misleads
| Case | ROI | Picks | How believable it is |
|---|---|---|---|
| A | +20% | 15 | Not very: two or three lucky breaks are enough to produce it |
| B | +3% | 300 | Much more: it's very hard to fake with such a big sample |
That's why, besides the ROI, we look at its margin of error and sort the rankings from highest to lowest ROI, only among the groups with enough picks.
The win rate isn't enough either: 65% at low odds can lose money.
What the numbers say today: the snapshot of the day
The tables below show what you'd see if you filtered Results by Sport, Market and League, with their margin of error.
They update themselves every day.
Matching the odds is already hard: they are the toughest opponent in betting.
Gambeta manages it overall and pulls ahead of them in a few corners, which are the ones we show below with their margin of error.
🌟 Track record highlights
Some rows already pull away from the odds and others are still gathering data.
That's why each one comes with its margin of error, so you can see how solid it is.
By sport
The same as the Sport filter, with sports that have 50 or more picks. Full analysis in the AI's best sport.
| Rank | Sport | Picks | Win rate | vs odds | ROI (±95%) |
|---|---|---|---|---|---|
| 1 | ⚾ Baseball (MLB) | 145 | 55.9% | +4.7 pts | +17.2% (±17.1) |
| 2 | ⚽ Football | 1037 | 56.7% | −1.1 pts | −1.5% (±5.8) |
| 3 | 🎾 Tennis | 120 | 55.8% | −0.7 pts | −2.7% (±18.2) |
| 4 | 🏈 NFL | 51 | 43.1% | −8.8 pts | −18.4% (±26.1) |
By market
The Market filter, with markets that have 50 or more picks. Full analysis in the AI's best markets.
| Rank | Market | Picks | Win rate | vs odds | ROI (±95%) |
|---|---|---|---|---|---|
| 1 | Draw | 55 | 32.7% | +1.1 pts | +26.4% (±51.2) |
| 2 | Winner (MLB) | 111 | 58.6% | +6.4 pts | +19.7% (±19.0) |
| 3 | Over 1.5 goals | 62 | 67.7% | +4.2 pts | +4.4% (±19.4) |
| 4 | Double chance 1X | 55 | 63.6% | +1.7 pts | +3.6% (±18.5) |
| 5 | Both teams to score | 72 | 66.7% | +7.3 pts | +2.3% (±21.3) |
| 6 | Away to win | 83 | 54.2% | −3.2 pts | +2.0% (±19.9) |
| 7 | Home to win | 221 | 62.9% | +0.5 pts | +0.9% (±10.8) |
| 8 | Winner (tennis) | 120 | 55.8% | −0.7 pts | −2.7% (±18.2) |
| 9 | Double chance X2 | 98 | 56.1% | −1.8 pts | −3.7% (±19.1) |
| 10 | Over 2.5 goals | 265 | 54.7% | −2.9 pts | −9.8% (±11.6) |
By league
The League filter, with leagues that have 30 or more picks. Full analysis in the AI's best leagues.
| Rank | League | Picks | Win rate | vs odds | ROI (±95%) |
|---|---|---|---|---|---|
| 1 | World Cup 2026 | 46 | 78.3% | +12.7 pts | +22.2% (±20.3) |
| 2 | MLB | 155 | 56.1% | +5.1 pts | +17.0% (±16.6) |
| 3 | Brasileirão Série A | 65 | 61.5% | +4.0 pts | +11.6% (±29.5) |
| 4 | MLS | 49 | 63.3% | +4.6 pts | +11.2% (±26.1) |
| 5 | Copa Libertadores | 75 | 58.7% | +3.3 pts | +7.8% (±19.5) |
| 6 | Serie A | 53 | 56.6% | +0.3 pts | +5.6% (±23.0) |
| 7 | Bundesliga | 48 | 60.4% | +0.9 pts | +5.2% (±23.6) |
| 8 | Copa Sudamericana | 62 | 59.7% | 0.0 pts | −0.5% (±21.9) |
| 9 | Ligue 1 | 53 | 60.4% | +4.1 pts | −0.7% (±31.0) |
| 10 | Champions League | 32 | 62.5% | +4.4 pts | −1.1% (±33.1) |
| 11 | Tennis (ATP & WTA) | 120 | 55.8% | −0.7 pts | −2.7% (±18.2) |
| 12 | Argentine Primera División | 97 | 48.5% | −5.5 pts | −7.4% (±21.0) |
| 13 | Premier League | 77 | 53.2% | −4.6 pts | −9.8% (±21.6) |
| 14 | La Liga | 83 | 50.6% | −6.2 pts | −12.0% (±20.7) |
| 15 | NFL | 51 | 43.1% | −8.8 pts | −18.4% (±26.1) |
| 16 | Liga MX | 38 | 50.0% | −9.1 pts | −20.2% (±29.6) |
Today's highest-confidence picks, with their prediction
Each card leads to the pick's full prediction.
They are the pending picks with the highest confidence level.
Data as of , from the public track record (pick by pick in the open CSV). ROI = net profit ÷ money wagered, using each pick's stake: it is the same ROI the Results page shows when you filter (it doesn't include the long-term World Cup bets). The margin (±) is the 95% margin for chance: if it is larger than the ROI, the difference can't yet be told apart from luck. It updates itself every day and is not a recommendation of where to bet.
Why you can trust the numbers (and check them)
A track record that only shows the good isn't useful for making decisions.
That's why we publish everything, with its margin of error, and give you the tools to check it.
| What we do | How you check it |
|---|---|
| ✅ Every pick is logged before the match | In the track record, with its odds and its date. |
| ✅ Nothing is deleted: hits and misses both stay | Results shows them all, the ❌ too. |
| ✅ The full track record can be downloaded | There's an open CSV, pick by pick. |
| ✅ Every ranking comes with its margin of error | Look at the “ROI (±95%)” column. |
| ✅ The numbers recalculate themselves every day | The date of the data is at the foot of each table. |
That transparency is the foundation of the product: what you see is what there is.
The four rankings, in detail
How to use the filters without fooling yourself
- Use the filters to decide how much to trust a pick, not to chase the highest ROI on the list.
- If a filter has few picks, lower your stake or skip it: the sample isn't big enough.
- Set up your bankroll before looking at the ranking: what a bankroll is and how to manage it.
- If you're looking for the most cautious way to use the AI, read safe sports betting.
Only play what you can afford to lose: betting responsibly is part of the method.
Frequently asked questions
Where are the Results filters on Gambeta?
On the AI's Results page, at gambeta.ai/#resultados. There's a bar with five menus (Sport, Date, Confidence, League and Market) above the table of picks.
How do I see which sport the AI does best in?
Open Results, open the Sport filter, choose a sport and look at the ROI and the total picks on the cards at the top. Repeat it with each sport and compare, always checking how many picks are behind each number.
Can I combine several filters at once?
Yes. The filters stack on top of each other: you can choose a sport, a market and a league at the same time, and the cards and the chart recalculate. Every filter you add shrinks the group, so with few picks the result becomes a clue, not a conclusion.
What's the difference between win rate and ROI?
The win rate is the percentage of picks that came in. The ROI is the net profit divided by the amount wagered: it takes the odds into account. You can hit a lot and still lose money if the odds were low, which is why ROI is the best way to compare.
How many picks do I need to trust a filter?
There's no magic number: it depends on the odds and on the result. That's why every ranking in this series shows the margin of error next to the ROI. If the margin is larger than the ROI, it can't be told apart from luck yet.
Can the results the page shows be edited?
No. Every pick is logged before the match and the track record shows hits and misses. You can cross-check it against the open CSV of the verified track record.
