Predictions / Football / Argentina. Primera Nacional / San Martin Tucuman vs Temperley

Prediction Audit: San Martin Tucuman vs Temperley Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 22:00
1 1.28
2 1.32
xG Accuracy: 77%

AI correctly predicted the Temperley win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Temperley Temperley ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The model rates Temperley considerably stronger than the closing betting market.

Largest probability gap: Temperley +19.0 pp

Outcome Model Closing Market Difference Signal
San Martin Tucuman 34.2% 49.5% -15.3 pp Market Higher
Draw 29.6% 33.4% -3.7 pp Aligned
Temperley 36.1% 17.1% +19.0 pp Model Edge

The statistical model estimates Temperley's win probability at 36.1%, compared with the closing market's implied probability of 17.1%, a difference of 19.0 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Temperley win 1–2).

Market Assessment

The statistical fair estimate is materially higher than the market on Temperley.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Temperley more conservatively (17.1% vs model 36.1%, 19.0 pp), but the model's lean was validated (Temperley win 1–2).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jul 25, 2026 · 23:38 UTC Forecast generated
    • Model 1X2 · San Martin Tucuman 34.2% · Draw 29.7% · Temperley 36.1%
    • xG · San Martin Tucuman 1.28 — Temperley 1.32
  2. Jul 25, 2026 · 21:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · San Martin Tucuman 1.92 · Draw 2.85 · Temperley 5.54
    • Implied 1X2 · San Martin Tucuman 49.5% · Draw 33.4% · Temperley 17.1%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 21:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · San Martin Tucuman 1.92 · Draw 2.85 · Temperley 5.54
    • Implied 1X2 · San Martin Tucuman 49.5% · Draw 33.4% · Temperley 17.1%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 22:00 UTC Kickoff
  5. FT Full-time result Temperley win · 1–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 1/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:11 UTC Snapshot ID: dp-1457062

Closing Odds 5.54
AI Fair Odds —
CLV Pending
Final Result Temperley win · San Martin Tucuman 1–2 Temperley
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Primera Nacional
  • Fixture: San Martin Tucuman vs Temperley
  • Kickoff: 2026-07-25 22:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): San Martin Tucuman 1.28 — Temperley 1.32 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Temperley
  • Model: 36.1% · Implied: 17.2% · Probability edge: +18.9 pts · Est. EV: +10.1%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Primera Nacional Primera Nacional — Standings
# TEAM MP W D L PTS
1 Ferro Carril Oeste 31 18 7 6 61
2 Deportivo Moron 31 16 7 8 55
3 Godoy Cruz 31 15 8 8 53
4 Deportivo Madryn 31 13 11 7 50
5 Colon Santa Fe 31 13 10 8 49
6 Almirante Brown 31 12 10 9 46
7 CA Estudiantes 31 12 9 10 45
8 Ciudad de Bolívar 31 10 12 9 42
9 Los Andes 31 9 13 9 40
10 Chaco For Ever 31 9 9 13 36
11 Defensores De Belgrano 31 8 12 11 36
12 Racing Cordoba 31 9 9 13 36
13 San Telmo 31 8 10 13 34
14 All Boys 31 6 15 10 33
15 Central Norte 31 6 14 11 32
16 Atletico Mitre 31 6 14 11 32
17 San Miguel 31 6 13 12 31
18 Acassuso 31 7 8 16 29
# TEAM MP GS GC +/- PTS
1 Deportivo Moron 31 49 31 +18 55
2 Deportivo Madryn 31 44 28 +16 50
3 Godoy Cruz 31 40 28 +12 53
4 Colon Santa Fe 31 38 25 +13 49
5 Ferro Carril Oeste 31 36 25 +11 61
6 CA Estudiantes 31 29 26 +3 45
7 Chaco For Ever 31 28 31 -3 36
8 Racing Cordoba 31 28 38 -10 36
9 Atletico Mitre 31 27 39 -12 32
10 Ciudad de Bolívar 31 26 28 -2 42
11 San Telmo 31 25 34 -9 34
12 San Miguel 31 25 36 -11 31
13 Los Andes 31 24 21 +3 40
14 Almirante Brown 31 23 18 +5 46
15 Defensores De Belgrano 31 23 27 -4 36
16 Acassuso 31 22 34 -12 29
17 Central Norte 31 19 28 -9 32
18 All Boys 31 17 26 -9 33