Predictions / Football / World. Africa Cup of Nations - Qualification / Madagascar vs Tanzania

Prediction Audit: Madagascar vs Tanzania Prediction, Odds & AI Betting Tips

Madagascar Madagascar
Sep 29, 2026 - 14:00
1 1.27
1 1.33
xG Accuracy: 85%
Tanzania Tanzania

The model missed the final outcome (Draw 1–1).

The model had projected Tanzania at 36.6%, but the full-time result went the other way.

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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Tanzania Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Tanzania +9.6 pp

Outcome Model Closing Market Difference Signal
Madagascar 33.8% 38.5% -4.7 pp Aligned
Draw 29.6% 34.5% -4.8 pp Aligned
Tanzania 36.6% 27.0% +9.6 pp Model Higher

The statistical model estimates Tanzania's win probability at 36.6%, compared with the closing market's implied probability of 27.0%, a difference of 9.6 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 result was Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Tanzania.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Tanzania; match finished Draw

Market lesson

The closing market differed from the model on Tanzania by 9.6 percentage points (27.1% vs model 36.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 29, 2026 · 12:59 UTC Forecast generated
    • Model 1X2 · Madagascar 33.8% · Draw 29.6% · Tanzania 36.6%
    • xG · Madagascar 1.27 — Tanzania 1.33
  2. Sep 29, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Madagascar 2.41 · Draw 2.69 · Tanzania 3.43
    • Implied 1X2 · Madagascar 38.5% · Draw 34.5% · Tanzania 27.0%
    • Bookmaker · Pinnacle
  3. Sep 29, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Madagascar 2.41 · Draw 2.69 · Tanzania 3.43
    • Implied 1X2 · Madagascar 38.5% · Draw 34.5% · Tanzania 27.0%
    • Bookmaker · Pinnacle
  4. Sep 29, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 23, 2026 · 02:01 UTC Snapshot ID: dp-10419014

Closing Odds 3.43
AI Fair Odds —
CLV Pending
Final Result Draw · Madagascar 1–1 Tanzania
Prediction ✖ Missed
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

Pre-match snapshot for this fixture.

  • League: Africa Cup of Nations - Qualification
  • Fixture: Madagascar vs Tanzania
  • Kickoff: 2026-09-29 14:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Madagascar 1.27 — Tanzania 1.33 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 37.4% · Probability edge: +10.8 pts · Est. EV: +23.9%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match 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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