Skip to main content
Argentinian Primera Nacional · Sunday, 26 July 2026

Agropecuario v San Martin de San Juan Correct Score Prediction

Kick-off:

MODEL ESTIMATE

Score probability model

CSM-1.0
Published score0-014.0%
Expected goals1.09 – 0.96Agropecuario / San Martin de San Juan

Most likely scorelines

#11-114.6%
#20-014.0%
#31-012.8%
View score probability matrix
Score probability model
Home goals ↓ / Away goals →01234
014.0%11.2%6.0%1.9%0.5%
112.8%14.6%6.5%2.1%0.5%
27.6%7.3%3.5%1.1%0.3%
32.8%2.7%1.3%0.4%0.1%
40.8%0.7%0.3%0.1%0.0%

Market-fitted Poisson + Dixon–Coles · Estimated model probabilities are fitted to recorded 1X2 and goal-market prices. They are not yet empirically calibrated probabilities and do not guarantee an outcome.

PRICE COMPARISON

Model vs market price

CSVI-1.0
Model estimate14.0%
Model fair odds7.13
Recorded CS odds5.80
Bookmaker implied17.2%
Model-market gap-3.2 pp
Price gap vs model fair price-18.7%

This is a mathematical comparison between the uncalibrated CSM-1.0 estimate and the recorded price. It is not a calibrated expected-value claim, guarantee or betting recommendation.

Prediction record

Published25 Jul 2026 · 19:24 GMT+0100

✓ Original forecast preserved · Original prediction: 0-0

Legacy / unverifiablePublication timing unavailable

Available market odds

Both teams to score — Yes2.20View odds
Both teams to score — No1.62View odds
Over 2.52.75View odds
Under 2.51.40View odds

Why this score?

The model projects Agropecuario versus San Martin de San Juan to finish 0-0. That scoreline implies No for BTTS and Under 2.5 for the goals market. Confidence is recorded as Medium; this is a model output, not a guarantee. Before kick-off, check team news, line-ups and the live bookmaker price because circumstances and odds can change.

→ 0-0
Share tip
FacebookX

Shares the tip and page link — never the bookmaker link.

How to interpret this prediction

Correct score is a high-variance market. The projected score is a forecast, not a certainty. The companion markets below are derived consistently from the same projected scoreline.

Prediction methodology · Results methodology · Editorial policy