Predictions / Football / World. CONMEBOL Sudamericana / Sao Paulo vs Bolívar

Prediction Audit: Sao Paulo vs Bolívar Prediction, Odds & AI Betting Tips

Sao Paulo Sao Paulo
Aug 19, 2026 - 00:30
3 1.11
1 1.30
xG Accuracy: 55%
Bolívar Bolívar

AI correctly predicted the Sao Paulo win.

The match finished 3–1, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Sao Paulo Sao Paulo ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Sao Paulo higher than the statistical model.

Largest probability gap: Sao Paulo -26.7 pp

Outcome Model Closing Market Difference Signal
Sao Paulo 40.9% 67.6% -26.7 pp Market Higher
Draw 29.4% 20.6% +8.8 pp Model Higher
Bolívar 29.7% 11.9% +17.9 pp Model Edge

The closing market estimates Sao Paulo's win probability at 67.6%, compared with the model's estimate of 40.9%, a difference of 26.7 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 (Sao Paulo win 3–1).

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sao Paulo higher (67.6% vs model 40.9%, 26.7 pp), but the model's lean was validated (Sao Paulo win 3–1).

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Prediction Timeline

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

  1. Aug 19, 2026 · 19:06 UTC Forecast generated
    • Model 1X2 · Sao Paulo 40.8% · Draw 29.4% · Bolívar 29.8%
    • xG · Sao Paulo 1.11 — Bolívar 1.30
  2. Aug 18, 2026 · 23:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sao Paulo 1.40 · Draw 4.60 · Bolívar 7.97
    • Implied 1X2 · Sao Paulo 67.6% · Draw 20.6% · Bolívar 11.9%
    • Bookmaker · Pinnacle
  3. Aug 19, 2026 · 00:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sao Paulo 1.40 · Draw 4.60 · Bolívar 7.97
    • Implied 1X2 · Sao Paulo 67.6% · Draw 20.6% · Bolívar 11.9%
    • Bookmaker · Pinnacle
  4. Aug 19, 2026 · 00:30 UTC Kickoff
  5. FT Full-time result Sao Paulo win · 3–1
  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 50/100 · Moderate
  • Validation: Warning
  • Large market gap (27 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 13, 2026 · 01:30 UTC Snapshot ID: dp-3815494

Closing Odds 1.4
AI Fair Odds —
CLV Pending
Final Result Sao Paulo win · Sao Paulo 3–1 Bolívar
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: CONMEBOL Sudamericana
  • Fixture: Sao Paulo vs Bolívar
  • Kickoff: 2026-08-19 00:30:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Sao Paulo 1.11 — Bolívar 1.3 (total xG ≈ 2.41)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 30, 2026 (UTC)

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CONMEBOL Sudamericana CONMEBOL Sudamericana — Standings
# TEAM MP W D L PTS
1 Macara 6 2 4 0 10
2 Tigre 6 2 3 1 9
3 America de Cali 6 2 3 1 9
4 Alianza Atletico 6 0 2 4 2
# TEAM MP GS GC +/- PTS
1 Tigre 6 8 5 +3 9
2 Macara 6 6 3 +3 10
3 America de Cali 6 6 5 +1 9
4 Alianza Atletico 6 2 9 -7 2
# TEAM MP xG xGC +/- PTS
1 Tigre 6 4.1 3.0 +1.1 9
2 Macara 6 1.2 1.6 -0.4 10
3 America de Cali 6 — — — 9
4 Alianza Atletico 6 — — — 2