Predictions / Football / United-Arab-Emirates. Division 1 / Forte Virtus vs Dibba Al Hisn

Prediction Audit: Forte Virtus vs Dibba Al Hisn Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 15:05
1 1.22
0 1.38
xG Accuracy: 64%

The model missed the final outcome (Forte Virtus win 1–0).

The model had projected Dibba Al Hisn at 39.0%, 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 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Dibba Al Hisn Forte Virtus ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Dibba Al Hisn higher than the statistical model.

Largest probability gap: Dibba Al Hisn -23.9 pp

Outcome Model Closing Market Difference Signal
Forte Virtus 31.5% 15.9% +15.6 pp Model Edge
Draw 29.5% 21.2% +8.3 pp Model Higher
Dibba Al Hisn 39.0% 62.9% -23.9 pp Market Higher

The closing market estimates Dibba Al Hisn's win probability at 62.9%, compared with the model's estimate of 39.0%, a difference of 23.9 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: PRE10.

After full time, the result was Forte Virtus win 1–0.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Dibba Al Hisn; match finished Forte Virtus

Market lesson

The closing market differed from the model on Dibba Al Hisn by 23.9 percentage points (62.9% vs model 39.0%) — 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 06, 2026 · 14:58 UTC Forecast generated
    • Model 1X2 · Forte Virtus 31.5% · Draw 29.5% · Dibba Al Hisn 39.0%
    • xG · Forte Virtus 1.22 — Dibba Al Hisn 1.38
  2. Sep 06, 2026 · 14:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Forte Virtus 5.69 · Draw 4.26 · Dibba Al Hisn 1.44
    • Implied 1X2 · Forte Virtus 15.9% · Draw 21.2% · Dibba Al Hisn 62.9%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 14:58 UTC Closing snapshot recorded PRE10
    • 1X2 odds · Forte Virtus 5.69 · Draw 4.26 · Dibba Al Hisn 1.44
    • Implied 1X2 · Forte Virtus 15.9% · Draw 21.2% · Dibba Al Hisn 62.9%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 15:05 UTC Kickoff
  5. FT Full-time result Forte Virtus win · 1–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:43 UTC Snapshot ID: dp-6365077

Closing Odds 1.44
AI Fair Odds —
CLV Pending
Final Result Forte Virtus win · Forte Virtus 1–0 Dibba Al Hisn
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: Division 1
  • Fixture: Forte Virtus vs Dibba Al Hisn
  • Kickoff: 2026-09-06 15:05:00
  • 1X2 (model): Home 31.5% · Draw 29.5% · Away 39.0%
  • xG (showing): Forte Virtus 1.22 — Dibba Al Hisn 1.38 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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: 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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Division 1 Division 1 — Standings
# TEAM MP W D L PTS
1 Al Arabi 5 4 1 0 13
2 Al Thaid 4 3 1 0 10
3 Dibba Al-Fujairah 4 3 0 1 9
4 Forte Virtus 4 3 0 1 9
5 Al Hamriyah 5 3 0 2 9
6 Al Bataeh 5 2 1 2 7
7 Dibba Al Hisn 4 2 0 2 6
8 Al Fujairah SC 5 2 0 3 6
9 Gulf United 4 2 0 2 6
10 Emirates Club 5 2 0 3 6
11 Al Urooba 5 1 3 1 6
12 Palm City 5 2 0 3 6
13 City 5 1 1 3 4
14 Al Jazira Al Hamra 5 0 2 3 2
15 Ittifaq 5 0 1 4 1
# TEAM MP GS GC +/- PTS
1 Al Arabi 5 15 7 +8 13
2 Al Thaid 4 11 4 +7 10
3 Dibba Al-Fujairah 4 11 7 +4 9
4 Palm City 5 10 14 -4 6
5 Al Fujairah SC 5 9 8 +1 6
6 Dibba Al Hisn 4 8 5 +3 6
7 Gulf United 4 8 7 +1 6
8 City 5 8 13 -5 4
9 Emirates Club 5 7 6 +1 6
10 Al Hamriyah 5 7 7 0 9
11 Forte Virtus 4 6 4 +2 9
12 Al Urooba 5 6 6 0 6
13 Al Bataeh 5 4 5 -1 7
14 Ittifaq 5 2 9 -7 1
15 Al Jazira Al Hamra 5 2 12 -10 2