Prediction Audit: Quilmes vs San Telmo Prediction, Odds & AI Betting Tips

Aug 15, 2026 - 22:00
3 1.37
0 1.23
xG Accuracy: 46%

AI correctly predicted the Quilmes win.

The match finished 3–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade F

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 No ✖ Incorrect
  • 1X2 Quilmes Quilmes ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Quilmes higher than the statistical model.

Largest probability gap: Quilmes -20.8 pp

Outcome Model Closing Market Difference Signal
Quilmes 38.5% 59.2% -20.8 pp Market Higher
Draw 29.6% 25.6% +4.0 pp Aligned
San Telmo 31.9% 15.1% +16.8 pp Model Edge

The closing market estimates Quilmes's win probability at 59.2%, compared with the model's estimate of 38.5%, a difference of 20.8 percentage points. This highlights a disagreement between the model and market consensus, without 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 (Quilmes win 3–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 Quilmes higher (59.2% vs model 38.5%, 20.8 pp), but the model's lean was validated (Quilmes win 3–0).

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Prediction Timeline

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

  1. Aug 15, 2026 · 21:59 UTC Forecast generated
    • Model 1X2 · Quilmes 38.5% · Draw 29.6% · San Telmo 31.9%
    • xG · Quilmes 1.37 — San Telmo 1.23
  2. Aug 15, 2026 · 21:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Quilmes 1.60 · Draw 3.70 · San Telmo 6.26
    • Implied 1X2 · Quilmes 59.2% · Draw 25.6% · San Telmo 15.1%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 21:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Quilmes 1.60 · Draw 3.70 · San Telmo 6.26
    • Implied 1X2 · Quilmes 59.2% · Draw 25.6% · San Telmo 15.1%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 22:00 UTC Kickoff
  5. FT Full-time result Quilmes win · 3–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 03:24 UTC Snapshot ID: dp-3369331

Closing Odds 1.6
AI Fair Odds —
CLV Pending
Final Result Quilmes win · Quilmes 3–0 San Telmo
Prediction ✔ Correct
Decision Grade F

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

Quick read on how the model reads this matchup.

  • League: Primera Nacional
  • Fixture: Quilmes vs San Telmo
  • Kickoff: 2026-08-15 22:00:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Quilmes 1.37 — San Telmo 1.23 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

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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Back to Predictions
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