Predictions / Football / Peru. Segunda División / Carlos A. Mannucci vs Academia Cantolao

Prediction Audit: Carlos A. Mannucci vs Academia Cantolao Prediction, Odds & AI Betting Tips

Aug 29, 2026 - 18:00
2 1.40
0 1.20
xG Accuracy: 61%

AI correctly predicted the Carlos A. Mannucci win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Carlos A. Mannucci Carlos A. Mannucci ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Carlos A. Mannucci higher than the statistical model.

Largest probability gap: Carlos A. Mannucci -27.2 pp

Outcome Model Closing Market Difference Signal
Carlos A. Mannucci 39.9% 67.2% -27.2 pp Market Higher
Draw 29.5% 20.4% +9.1 pp Model Higher
Academia Cantolao 30.6% 12.4% +18.2 pp Model Edge

The closing market estimates Carlos A. Mannucci's win probability at 67.2%, compared with the model's estimate of 39.9%, a difference of 27.2 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: PRE5.

After full time, the model's directional lean matched the result (Carlos A. Mannucci win 2–0).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 Carlos A. Mannucci higher (67.1% vs model 39.9%, 27.2 pp), but the model's lean was validated (Carlos A. Mannucci win 2–0).

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Prediction Timeline

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

  1. Aug 29, 2026 · 17:57 UTC Forecast generated
    • Model 1X2 · Carlos A. Mannucci 40.0% · Draw 29.5% · Academia Cantolao 30.6%
    • xG · Carlos A. Mannucci 1.40 — Academia Cantolao 1.20
  2. Aug 29, 2026 · 17:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Carlos A. Mannucci 1.32 · Draw 4.34 · Academia Cantolao 7.15
    • Implied 1X2 · Carlos A. Mannucci 67.2% · Draw 20.4% · Academia Cantolao 12.4%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 17:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Carlos A. Mannucci 1.32 · Draw 4.34 · Academia Cantolao 7.15
    • Implied 1X2 · Carlos A. Mannucci 67.2% · Draw 20.4% · Academia Cantolao 12.4%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Carlos A. Mannucci win · 2–0
  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 49/100 · 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 31/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:48 UTC Snapshot ID: dp-5160402

Closing Odds 1.32
AI Fair Odds —
CLV Pending
Final Result Carlos A. Mannucci win · Carlos A. Mannucci 2–0 Academia Cantolao
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: Segunda División
  • Fixture: Carlos A. Mannucci vs Academia Cantolao
  • Kickoff: 2026-08-29 18:00:00
  • 1X2 (model): Home 40.0% · Draw 29.5% · Away 30.6%
  • xG (showing): Carlos A. Mannucci 1.4 — Academia Cantolao 1.2 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Prefer skipping to over-staking when the engine is honest about missing edge.

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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Segunda División Segunda División — Standings
# TEAM MP W D L PTS
1 Union Comercio 16 9 5 2 32
2 Carlos A. Mannucci 16 9 3 4 30
3 Deportivo Llacuabamba 16 8 4 4 28
4 Molinos El Pirata 16 7 4 5 25
5 U. San Martin 16 7 3 6 24
6 Deportiva Agropecuaria 15 5 6 4 21
7 Cesar Vallejo 15 5 4 6 19
8 Academia Cantolao 16 3 5 8 14
9 San Marcos 14 0 0 14 0
# TEAM MP GS GC +/- PTS
1 U. San Martin 16 26 17 +9 24
2 Molinos El Pirata 16 25 20 +5 25
3 Deportivo Llacuabamba 16 23 10 +13 28
4 Carlos A. Mannucci 16 22 12 +10 30
5 Union Comercio 16 19 5 +14 32
6 Academia Cantolao 16 19 30 -11 14
7 Deportiva Agropecuaria 15 14 12 +2 21
8 Cesar Vallejo 15 14 13 +1 19
9 San Marcos 14 1 44 -43 0