Correct-outcome rate for each market, across all competitions with a verified result.
Rate per column on the leagues followed with full editorial analysis. Columns are listed in decreasing order of reliability.
Seasons covered: 3 · Updated on 08/07/2026
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | No Gol 1T | 1,15 | Difficulty Low | Prediction No Gol 1T on Junior – Atl. Nacional: won, result 3-0 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | Ov 1.5 | 1,23 | Difficulty Low | Prediction Ov 1.5 on Junior – Atl. Nacional: won, result 3-0 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | 12+Ov 1.5 | 1,70 | Difficulty Medium | Prediction 12+Ov 1.5 on Junior – Atl. Nacional: won, result 3-0 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | No Gol | 2,05 | Difficulty Medium | Prediction No Gol on Junior – Atl. Nacional: won, result 3-0 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | 2 — Atl. Nacional Win | 2,65 | Difficulty High | Prediction 2 on Junior – Atl. Nacional: lost, result 3-0 |
| Brescia – Ascolilega pro1-1 | 1 — Brescia Win | 2,55 | Difficulty High | Prediction 1 on Brescia – Ascoli: lost, result 1-1 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | 12 — Junior or Atl. Nacional Win | 1,35 | Difficulty Low | Prediction 12 on Junior – Atl. Nacional: won, result 3-0 |
| Brescia – Ascolilega pro1-1 | 12 — Brescia or Ascoli Win | 1,35 | Difficulty Low | Prediction 12 on Brescia – Ascoli: lost, result 1-1 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | Ov 1.5 — At Least 2 Goals | 1,30 | Difficulty Low | Prediction Ov 1.5 on Junior – Atl. Nacional: won, result 3-0 |
| Brescia – Ascolilega pro1-1 | Ov 1.5 — At Least 2 Goals | 1,35 | Difficulty Low | Prediction Ov 1.5 on Brescia – Ascoli: won, result 1-1 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | Ov 2.5 — At Least 3 Goals | 2,10 | Difficulty Medium | Prediction Ov 2.5 on Junior – Atl. Nacional: won, result 3-0 |
| Brescia – Ascolilega pro1-1 | Un 2.5 — Maximum 2 Goals | 1,57 | Difficulty Medium | Prediction Un 2.5 on Brescia – Ascoli: won, result 1-1 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | Un 3.5 — Maximum 3 Goals | 1,20 | Difficulty Low | Prediction Un 3.5 on Junior – Atl. Nacional: won, result 3-0 |
| Brescia – Ascolilega pro1-1 | Un 3.5 — Maximum 3 Goals | 1,16 | Difficulty Low | Prediction Un 3.5 on Brescia – Ascoli: won, result 1-1 |
| Match | Prediction | Odds | Difficulty | Outcome |
|---|---|---|---|---|
| Junior – Atl. Nacionalprimera a3-0 | No Gol — At Least One Team Does Not Score | 1,93 | Difficulty Medium | Prediction No Gol on Junior – Atl. Nacional: won, result 3-0 |
| Brescia – Ascolilega pro1-1 | No Gol — At Least One Team Does Not Score | 1,80 | Difficulty Medium | Prediction No Gol on Brescia – Ascoli: lost, result 1-1 |
We publish two types of prediction. The algorithm predictions come from a probabilistic model that, for each match, estimates the probability of every outcome (1X2, double chance, under/over, both teams to score) and picks the selection with the best value. The studied predictions are our editorial columns: for the leagues we follow, an analyst builds up to four predictions per match in order of reliability.
The outcome check is automatic and objective: every prediction is compared with the real final result of the match, imported from official data. A prediction is "won" if the outcome occurred, "lost" otherwise. We neither rewrite nor hide anything after the fact: the rates above are the ratio between correct predictions and assessed predictions, over the entire available history.
A prediction is only worth something if whoever gives it also shows when they get it wrong. That is why next to every rate you'll find the sample size — how many predictions were assessed — and the losses, not just the wins: a high rate on a handful of matches counts for less than an honest rate over thousands of outcomes.
The rates for the studied predictions only concern the leagues with full editorial analysis; those for the algorithm cover all competitions with a verified result, to give a broad, unselected sample. Remember that no model guarantees a win: the archive is a transparency tool, not a promise of profit.
Reliability can only be measured over the long run: the scoreboard at the top of this page aggregates every prediction with a verified result, market by market, across multiple seasons. No cherry-picking: we count each published prediction, won or lost, and update the percentages after every completed matchday.
The exact figures live in the performance scoreboard, split by market: 1X2, double chance, under/over and both teams to score. Each value shows correct predictions over the total settled, computed from raw data across all covered competitions. Two-way markets such as double chance historically post the highest hit rates.
Studied predictions are ranked in columns of decreasing reliability: column #1 is the most likely selection for the match, while the next columns raise both odds and risk. The scoreboard shows the hit rate for each column, together with the sample of settled picks and the average winning odds.
In the history section of this page: browse the last 35 days using the previous day and next day links. For every match you get the prediction, the odds, the real final score and the won or lost outcome, both for studied picks and for the algorithm picks by market.
Verification is automatic: once a matchday ends, we match every published prediction against the official 90-minute result and mark it as won or lost. There is no manual editing after the fact: the scoreboard totals come from the same raw data that feeds the daily history.
The match-by-match history stays browsable for 35 days, the window that best reflects the recent form of the model. Older matchdays do not disappear: they flow into the scoreboard aggregates, which span multiple seasons and remain the most solid measure of overall performance.
