Prediction Audit: Simba vs Pamba Jiji Prediction, Odds & AI Betting Tips

Jun 14, 2026 - 13:00
2 1.36
1 0.67
xG Accuracy: 77%

AI correctly predicted the Simba win.

The match finished 2–1, 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 No Yes ✖ Incorrect
  • 1X2 Simba Simba ✔ Correct
  • Correct Score Insights 1-0, 0-0, 2-0, 1-1, 0-1 2-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Simba higher than the statistical model.

Largest probability gap: Simba -17.6 pp

Outcome Model Closing Market Difference Signal
Simba 61.0% 78.6% -17.6 pp Market Higher
Draw 26.0% 14.7% +11.2 pp Model Edge
Pamba Jiji 13.1% 6.7% +6.4 pp Model Higher

The closing market estimates Simba's win probability at 78.6%, compared with the model's estimate of 61.0%, a difference of 17.6 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 (Simba win 2–1).

Market Assessment

The market is materially more optimistic about Simba than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Simba attacking xG significantly stronger (1.36 vs 0.67)

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 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 Simba higher (78.7% vs model 61.0%, 17.6 pp), but the model's lean was validated (Simba win 2–1).

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Prediction Timeline

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

  1. Jun 14, 2026 · 17:35 UTC Forecast generated
    • Model 1X2 · Simba 61.0% · Draw 26.0% · Pamba Jiji 13.1%
    • xG · Simba 1.36 — Pamba Jiji 0.67
  2. Jun 14, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Simba 1.13 · Draw 6.04 · Pamba Jiji 13.30
    • Implied 1X2 · Simba 78.6% · Draw 14.7% · Pamba Jiji 6.7%
    • Bookmaker · Pinnacle
  3. Jun 14, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Simba 1.13 · Draw 6.04 · Pamba Jiji 13.30
    • Implied 1X2 · Simba 78.6% · Draw 14.7% · Pamba Jiji 6.7%
    • Bookmaker · Pinnacle
  4. Jun 14, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Simba win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 11/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 14:25 UTC Snapshot ID: dp-3054633

Closing Odds 1.13
AI Fair Odds —
CLV Pending
Final Result Simba win · Simba 2–1 Pamba Jiji
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

Pre-match snapshot for this fixture.

  • League: Ligi kuu Bara
  • Fixture: Simba vs Pamba Jiji
  • Kickoff: 2026-06-14 13:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Simba 1.36 — Pamba Jiji 0.67 (total xG ≈ 2.03)
  • 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

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

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

October 02, 2026 (UTC)

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Ligi kuu Bara Ligi kuu Bara — Standings
# TEAM MP W D L PTS
1 Young Africans 30 23 6 1 75
2 Simba 30 22 7 1 73
3 Azam 30 18 10 2 64
4 Singida Fountain Gate 30 15 5 10 50
5 Kitayosce 30 11 10 9 43
6 JKT Tanzania 30 10 12 8 42
7 Pamba Jiji 30 9 9 12 36
8 Coastal Union 30 9 9 12 36
9 Dodoma Jiji 30 8 11 11 35
10 Namungo 30 7 13 10 34
11 Mashujaa 30 7 12 11 33
12 Singida Big Stars 30 9 6 15 33
13 Tanzania Prisons 30 9 5 16 32
14 Mbeya City 30 7 9 14 30
15 Mtibwa Sugar 30 6 9 15 27
16 KMC 30 2 3 25 9
# TEAM MP GS GC +/- PTS
1 Young Africans 30 71 9 +62 75
2 Simba 30 54 11 +43 73
3 Singida Fountain Gate 30 47 35 +12 50
4 Azam 30 46 12 +34 64
5 Kitayosce 30 33 28 +5 43
6 Pamba Jiji 30 32 35 -3 36
7 Coastal Union 30 31 37 -6 36
8 JKT Tanzania 30 30 33 -3 42
9 Namungo 30 25 32 -7 34
10 Dodoma Jiji 30 25 36 -11 35
11 Singida Big Stars 30 25 44 -19 33
12 Mtibwa Sugar 30 25 48 -23 27
13 Mbeya City 30 24 41 -17 30
14 Tanzania Prisons 30 23 41 -18 32
15 KMC 30 16 53 -37 9
16 Mashujaa 30 15 27 -12 33