Predictions / Football / Tanzania. Ligi kuu Bara / Azam vs Tanzania Prisons

Prediction Audit: Azam vs Tanzania Prisons Prediction, Odds & AI Betting Tips

Azam Azam
May 22, 2026 - 15:30
2 1.45
0 1.25
xG Accuracy: 61%
Tanzania Prisons Tanzania Prisons

AI correctly predicted the Azam win.

The match finished 2–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 No No ✔ Correct
  • 1X2 Azam Azam ✔ Correct
  • Correct Score Insights 1-0, 0-0, 2-0, 1-1, 3-0 2-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Azam higher than the statistical model.

Largest probability gap: Azam -39.9 pp

Outcome Model Closing Market Difference Signal
Azam 41.8% 81.6% -39.9 pp Market Higher
Draw 25.7% 12.6% +13.1 pp Model Edge
Tanzania Prisons 32.6% 5.8% +26.8 pp Model Edge

The closing market estimates Azam's win probability at 81.6%, compared with the model's estimate of 41.8%, a difference of 39.9 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 (Azam win 2–0).

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 fell within the model's highlighted bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Azam higher (81.7% vs model 41.8%, 39.9 pp), but the model's lean was validated (Azam win 2–0).

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Prediction Timeline

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

  1. May 22, 2026 · 18:29 UTC Forecast generated
    • Model 1X2 · Azam 41.8% · Draw 25.7% · Tanzania Prisons 32.6%
    • xG · Azam 1.45 — Tanzania Prisons 1.25
  2. May 22, 2026 · 14:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Azam 1.10 · Draw 7.14 · Tanzania Prisons 15.53
    • Implied 1X2 · Azam 81.6% · Draw 12.6% · Tanzania Prisons 5.8%
    • Bookmaker · Pinnacle
  3. May 22, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Azam 1.10 · Draw 7.14 · Tanzania Prisons 15.53
    • Implied 1X2 · Azam 81.6% · Draw 12.6% · Tanzania Prisons 5.8%
    • Bookmaker · Pinnacle
  4. May 22, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Azam 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 29/100 · Low
  • Validation: Fail
  • Large market gap (40 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 8/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 16:28 UTC Snapshot ID: dp-1617235

Closing Odds 1.1
AI Fair Odds —
CLV Pending
Final Result Azam win · Azam 2–0 Tanzania Prisons
Prediction ✔ Correct
Decision Grade A

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

Model favours Azam; market prices Azam instead — inputs may be missing or stale.

  • Model: Azam 1.45 xG vs Tanzania Prisons 1.25 → Azam 41.8%
  • Market: Azam ~81.6% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 71.7% · Over 2.5 28.3%); BTTS No (Yes 27.2% · No 72.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No

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

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
Ligi kuu Bara Tanzania. Ligi kuu Bara Predictions