AI football betting prompts built around xG and the fair price
Football is the hardest sport to prompt well: three resultados, low scoring, and the most efficient mercado in betting. A prompt that ignores the empate or trusts a 4-0 result over the xG behind it will lose slowly and confidently.
What a football prompt has to get right
The first job of a football prompt is arithmetic, not opinion: strip the margen de la casa de apuestas out of the 1X2 prices so the model starts from a fair baseline instead of an inflated one. Everything after that is an adjustment — form measured in xG rather than puntos, the home-away split of each side, who is missing, and how many days of rest each team had.
The second job is to keep the empate honest. Roughly a quarter of partidos in the big European leagues end level, and models left to their own instincts systematically under-price that. Both prompts below force a three-number probabilidad set that sums to 100%, so an under-weighted empate becomes visible immediately instead of hiding inside a confident "home victoria".
The third job is scale. Football is by far the largest slate on the board — well over a thousand fixtures land in a fortnight — so a prompt that only works when you have read the team news is a prompt you will use twice. Both versions below are written to run on whatever you can paste in from a partido page, and to say so when that is not enough.
De-vig before you predict
Convert 1X2 cuotas to implied probabilities, remove the overround, and treat the result as the baseline. A prompt that starts from raw cuotas is starting from a number that already sums to more than 100%.
xG over results
Five-partido samples of goles are almost noise. xG for and against, shot volume and shot quality tell you whether a run of victorias is real. Value lives where the table lags the underlying performance.
Local-away split, not season averages
Many sides are a different team away from home — deeper block, fewer shots, more draws. Feed the split explicitly, otherwise the model averages the two into something that describes neither.
Rotation, injuries and congestion
A midweek European tie three days earlier, a suspended centre-back, a keeper change. These move the price more than most narratives, and they are the factors a model cannot guess — you have to supply them.
Football prompts v1 and v2 — and how they differ
The same model, two instruction sets, two different betting personalities. Run both on the same partidos; that comparison is the only thing that settles the argument.
| Version | Focus | Style | Best for |
|---|---|---|---|
| v1 | Fair 1X2 baseline, then small adjustments | Disciplined | 1X2, consistency |
| v2 | Shot quality and goles mercados | Gols-hunting | Totals and BTTS value |
You are a disciplined football betting analyst. Partido: {home} vs {away}, {league}, {date}. Mercado 1X2: {cuotas}.
Step 1: convert the 1X2 cuotas to implied probabilities and remove the margen de la casa de apuestas to get a fair baseline.
Step 2: adjust that baseline only for verifiable factors — form measured in xG for/against (last 5), confirmed injuries and suspensions, home form for the home side and away form for the away side, days of rest and travel. Do not adjust for narratives or motivation.
Keep the empate honest: it is roughly 25% in most top leagues.
Output exactly:
1) Local / empate / away probabilities summing to 100%
2) Main pronóstico + confianza 1-10
3) Best value mercado (1X2 / Más de-Menos de 2.5 / BTTS) and the reason
4) Most likely correct marcador
5) One-línea reasoning
If your fair price partidos the offered price, answer "no bet".
You are an attacking-metrics football analyst. For {home} vs {away} ({league}, {date}):
Base your read on xG for and against, shot volume and shot quality, set-piece threat and how high each defensive línea plays — not on results. Lean into goles mercados when both attacks create real chances, and away from them when either side suppresses shot quality.
Compare every conclusion with the posted línea {cuotas} and flag where the mercado disagrees with the underlying numbers.
Output exactly:
1) Predicted marcador
2) Más de/Menos de pronóstico with the línea you are using
3) BTTS sí/no
4) 1X2 pronóstico + confianza 1-10
5) The single decisive factor
If the xG samples are too small to separate the sides, say so and answer "no bet".
Placeholders in braces are filled automatically when you run a prompt from a partido in the AI Lab. Pasting into your own chat window works too — just replace them by hand.
What to feed the model, and what a usable answer looks like
Feed it this
- League, matchweek and kick-off date — plus cup contexto if the partido is a dead rubber.
- Last five partidos per side with xG for and against, not just scorelines.
- Local form for the home team, away form for the away team — separately.
- Confirmed absences: injuries, suspensions, and any keeper or centre-back change.
- Days of rest since the last partido and travel distance.
- The línea: 1X2, Más de-Menos de 2.5 and BTTS. Weather too, if it is extreme.
Good output has
- Three probabilities for home / empate / away summing to exactly 100%.
- A main pronóstico plus confianza 1-10, with a low marcador allowed.
- The best value mercado of the three (1X2, Más de-Menos de, BTTS) and why.
- A most-likely correct marcador, which exposes an incoherent probabilidad set fast.
- One decisive factor in one línea — no paragraph of hedging.
- A clear "no bet" when the fair price and the offered price coinciden.
Where football prompts usually go wrong
- Menos de-weighting the empate (it is around 25% in most top leagues).
- Reading one 4-0 as a step change instead of variance.
- Motivation narratives ("they need the victoria") replacing data.
- Totals pronósticos that ignore how each side actually creates shots.
Cuotas, model contexto and mercado drift for each fixture are on the football partidos with cuotas and AI pronósticos board, so most of the input list above can be copied straight from the partido page.
Prompting the three mercados football actually offers
A prompt that only answers "who victorias" throws away most of a football card. The three liquid mercados reward different reasoning, and asking for all three in one answer is also the cheapest coherence check you have: a 1X2 read, a totals read and a correct marcador that contradict each other tell you the model is guessing.
Three-way, empate included
Demand three probabilities that sum to 100% and compare each with the de-vigged price. The empate is the honesty test — a model that prices it under 20% in a tight league partido is not reasoning, it is picking a favorito.
Totals need shot creation, not results
Más de-Menos de is a question about how each side generates and concedes chances: shot volume, shot quality, set-piece threat, defensive línea height. Two equipos that both create little produce unders regardless of how attacking their reputations are.
Ambos equipos marcan
BTTS is close to two independent scoring questions, so ask for each side's chance of scoring separately before the sí/no. It is also where a weak keeper or a missing centre-back moves the honest number most.
Handicaps and correct marcador
Ask for a most likely correct marcador even when you are not betting it: it exposes an incoherent probabilidad set instantly. If the model says 55% home victoria and predicts 1-1, one of those two numbers is wrong.
Measure both versions before you trust either
Store both versions
Save v1 and v2 as separate prompts in the AI Lab so every run is attributed to a version instead of blurring together.
Run them on the same partidos
Pronóstico fixtures from the football board and lock both forecasts before start. Same slate, same information, no hindsight.
Judge on ROI, not hit-rate
A value prompt taking underdogs will always look worse on hit-rate and can still be the profitable one. Settlement and scoring are automatic once the partido finishes.
The AI Lab starts on the $19 tier with one sport and five stored prompts, which is enough for a full v1-versus-v2 comparison in football. Open a gratis trial to run it on today's card, or read the prompt library resumen for the shared structure behind every sport.
Football prompt questions
Why should a football prompt de-vig the cuotas first?
Because casa de apuestas prices include a margin, so implied probabilities sum to more than 100%. If the model treats them as fair it will systematically overestimate every resultado and see "value" where there is none. Removing the overround gives a baseline that is honest enough to argue with.
Where do I get xG numbers to paste in?
Any public source you already trust works, as long as you use the same source consistently — mixing providers introduces differences bigger than the effects you are trying to measure. On PropickAI partido pages the model and mercado contexto are mostrado alongside the cuotas, which is usually enough for the disciplined v1 prompt.
Do these prompts work for lower leagues?
The v1 mercado-anchored prompt travels well, because the price carries most of the information. The xG-driven v2 needs data that often does not exist below the top divisions — in that case either supply what you have or stick to v1.
How should the prompt treat the empate?
As a real resultado with a real probabilidad, not as a rounding error. Force three numbers that sum to 100% and compare the empate against the de-vigged mercado price. In tight, low-scoring leagues the empate is frequently the fairest price on the coupon, and a model that never pronósticos it is telling you about its bias rather than about the partido.
Should I run one prompt en every league, or write one per competition?
Empezar with one prompt and one league so the comparison is clean, then widen. League contexto (typical goles, home advantage, refereeing) shifts the reference puntos enough that a prompt tuned on the Premier League will misprice a low-scoring second division — which is exactly the kind of drift the AI Lab dashboard makes visible.
Prompts for the rest of the board
Find out which football prompt actually victorias
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