Predictions / Football / Tanzania. Ligi kuu Bara / Pamba Jiji vs Simba

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

Pamba Jiji Pamba Jiji
Aug 19, 2026 - 13:15
1 1.01
2 1.59
xG Accuracy: 89%
Simba Simba

AI correctly predicted the Simba win.

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

Model vs Closing Market

Strong Disagreement

The closing market prices Simba higher than the statistical model.

Largest probability gap: Simba -20.1 pp

Outcome Model Closing Market Difference Signal
Pamba Jiji 22.5% 9.9% +12.6 pp Model Edge
Draw 28.2% 20.7% +7.5 pp Model Higher
Simba 49.3% 69.4% -20.1 pp Market Higher

The closing market estimates Simba's win probability at 69.4%, compared with the model's estimate of 49.3%, a difference of 20.1 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 1–2).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Simba attacking xG significantly stronger (1.59 vs 1.01)
  • 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 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Simba higher (69.4% vs model 49.3%, 20.1 pp), but the model's lean was validated (Simba win 1–2).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Aug 19, 2026 · 13:14 UTC Forecast generated
    • Model 1X2 · Pamba Jiji 22.5% · Draw 28.2% · Simba 49.3%
    • xG · Pamba Jiji 1.01 — Simba 1.59
  2. Aug 19, 2026 · 12:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pamba Jiji 9.14 · Draw 4.36 · Simba 1.30
    • Implied 1X2 · Pamba Jiji 9.9% · Draw 20.7% · Simba 69.4%
    • Bookmaker · Pinnacle
  3. Aug 19, 2026 · 13:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pamba Jiji 9.14 · Draw 4.36 · Simba 1.30
    • Implied 1X2 · Pamba Jiji 9.9% · Draw 20.7% · Simba 69.4%
    • Bookmaker · Pinnacle
  4. Aug 19, 2026 · 13:15 UTC Kickoff
  5. FT Full-time result Simba win · 1–2
  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 (20 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 13, 2026 · 01:39 UTC Snapshot ID: dp-3816878

Closing Odds 1.3
AI Fair Odds —
CLV Pending
Final Result Simba win · Pamba Jiji 1–2 Simba
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: Ligi kuu Bara
  • Fixture: Pamba Jiji vs Simba
  • Kickoff: 2026-08-19 13:15:00
  • 1X2 (model): Home 22.5% · Draw 28.2% · Away 49.3%
  • xG (showing): Pamba Jiji 1.01 — Simba 1.59 (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 52.2% · No 47.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.2% · No 47.8%
  • Correct score (top bin): 1-1 (11.9%)

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.

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 28, 2026 (UTC)

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Ligi kuu Bara Ligi kuu Bara — Standings
# TEAM MP W D L PTS
1 Young Africans 6 6 0 0 18
2 Simba 6 6 0 0 18
3 Azam 7 4 2 1 14
4 Singida Fountain Gate 6 3 1 2 10
5 Polisi Tanzania 6 3 1 2 10
6 Mbeya City 6 3 1 2 10
7 Dodoma Jiji 6 3 1 2 10
8 Mashujaa 6 3 0 3 9
9 Geita Gold 6 2 1 3 7
10 JKT Tanzania 6 2 1 3 7
11 Coastal Union 6 2 1 3 7
12 Kitayosce 6 1 3 2 6
13 Namungo 7 2 0 5 6
14 Singida Big Stars 6 1 1 4 4
15 Kagera Sugar 6 0 2 4 2
16 Pamba Jiji 6 0 1 5 1
# TEAM MP GS GC +/- PTS
1 Young Africans 6 16 2 +14 18
2 Singida Fountain Gate 6 13 9 +4 10
3 Simba 6 11 2 +9 18
4 Azam 7 11 7 +4 14
5 Polisi Tanzania 6 9 7 +2 10
6 Geita Gold 6 9 8 +1 7
7 JKT Tanzania 6 7 10 -3 7
8 Mbeya City 6 6 4 +2 10
9 Mashujaa 6 6 6 0 9
10 Kitayosce 6 6 6 0 6
11 Coastal Union 6 6 9 -3 7
12 Namungo 7 6 11 -5 6
13 Kagera Sugar 6 5 14 -9 2
14 Dodoma Jiji 6 4 4 0 10
15 Pamba Jiji 6 4 13 -9 1
16 Singida Big Stars 6 2 9 -7 4