Football Predictions Archive: Verifiable Track Record and Results History
This is our public track record: for every algorithm market and for every column of the studied predictions we show how many tips we gave, how many we got right and how many we lost. Below you'll find the history of past matchdays, with the tip, the odds and the real result of each match. No numbers cherry-picked after the fact: the counts come from the raw data and we show them in full, wins and losses alike.
Our performance, in plain numbers
Algorithm predictions
Correct-outcome rate for each market, across all competitions with a verified result.
Match result (1X2)44,8%
5396 correct out of 12040 assessedAverage winning odds @ 2,03
Double chance74,3%
8925 correct out of 12016 assessedAverage winning odds @ 1,24
Under / Over 1.565,4%
7807 correct out of 11945 assessedAverage winning odds @ 1,40
Under / Over 2.551%
6112 correct out of 11985 assessedAverage winning odds @ 1,80
Under / Over 3.561,9%
7399 correct out of 11952 assessedAverage winning odds @ 1,48
Both Teams to Score (BTTS)51,2%
6134 correct out of 11969 assessedAverage winning odds @ 1,78
Total58,1%
41773 correct out of 71907 assessedAverage winning odds @ 1,57
Studied predictions
Rate per column on the leagues followed with full editorial analysis. Columns are listed in decreasing order of reliability.
Column #176,1%
2257 correct out of 2967 assessedAverage winning odds @ 1,26the most likely
Column #270,7%
2097 correct out of 2965 assessedAverage winning odds @ 1,32
Column #352,6%
1555 correct out of 2955 assessedAverage winning odds @ 1,79
Column #435,4%
1046 correct out of 2954 assessedAverage winning odds @ 2,54
Total58,7%
6955 correct out of 11841 assessed
Seasons covered: 3 · Updated on 06/07/2026
History of past matchdays' predictions
Browse the matchdays of the last 35 days. For each match you'll find the tip given, the odds and the real result, with a win or loss outcome. The deeper history is summarised in the aggregates above.
List of the matches of the day with tips, odds, difficulty and real outcome
Match
Prediction
Odds
Difficulty
Outcome
Giappone – Sveziamondiali1-1
Ov 1.5
1,21
LowDifficulty Low
WonPrediction Ov 1.5 on Giappone – Svezia: won, result 1-1
Tunisia – Olandamondiali1-3
Ov 0.5 1T
1,22
LowDifficulty Low
WonPrediction Ov 0.5 1T on Tunisia – Olanda: won, result 1-3
Cuiaba – Londrinaserie b brazil2-2
No Gol 1T
1,06
LowDifficulty Low
WonPrediction No Gol 1T on Cuiaba – Londrina: won, result 2-2
Paraguay – Australiamondiali0-0
Un 1.5 1T
1,21
LowDifficulty Low
WonPrediction Un 1.5 1T on Paraguay – Australia: won, result 0-0
Turchia – USAmondiali3-2
Ov 1.5
1,20
LowDifficulty Low
WonPrediction Ov 1.5 on Turchia – USA: won, result 3-2
Qingdao H – Yunnan Yukunsuper league cinese4-2
Ov 1.5
1,12
LowDifficulty Low
WonPrediction Ov 1.5 on Qingdao H – Yunnan Yukun: won, result 4-2
Brage – Falkenbergssuperettan2-4
Ov 1.5
1,16
LowDifficulty Low
WonPrediction Ov 1.5 on Brage – Falkenbergs: won, result 2-4
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.
Why this archive is proof of reliability
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.
Frequently asked questions about the football predictions archive
How reliable are football predictions over time?
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.
What is the success rate of the algorithm predictions?
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.
How do the studied predictions perform per column?
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.
Where can I see the outcomes of past matchday predictions?
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.
How are won and lost predictions verified?
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.
Why does the browsable history cover only 35 days?
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.