Prediction Audit: Al-Fayha vs Abha Prediction, Odds & AI Betting Tips

Al-Fayha

Aug 28, 2026 - 16:00

3 1.33

2 1.33

xG Accuracy: 52%

Abha

AI correctly predicted the Al-Fayha win.

The match finished 3–2, 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 (5 goals) ✖ Incorrect
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Al-Fayha Al-Fayha ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-2 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Al-Fayha	35.4%	43.1%	-7.7 pp	Market Higher
Draw	29.3%	27.9%	+1.4 pp	Aligned
Abha	35.4%	29.0%	+6.3 pp	Model Higher

The closing market estimates Al-Fayha's win probability at 43.1%, compared with the model's estimate of 35.4%, a difference of 7.7 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 (Al-Fayha win 3–2).

Market Assessment

The market and model broadly agree on Al-Fayha. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

Expected goals projected a high-scoring match (ΣxG 2.66) — 5 goals materialised
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 (5 goals)
Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al-Fayha higher (43.1% vs model 35.4%, 7.7 pp), but the model's lean was validated (Al-Fayha win 3–2).

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.

Aug 28, 2026 · 19:17 UTC Forecast generated
- Model 1X2 · Al-Fayha 35.4% · Draw 29.3% · Abha 35.4%
- xG · Al-Fayha 1.33 — Abha 1.33
Aug 28, 2026 · 15:33 UTC Opening odds snapshot PRE30
- 1X2 odds · Al-Fayha 2.21 · Draw 3.42 · Abha 3.28
- Implied 1X2 · Al-Fayha 43.1% · Draw 27.9% · Abha 29.0%
- Bookmaker · Pinnacle
Aug 28, 2026 · 16:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al-Fayha 2.21 · Draw 3.42 · Abha 3.28
- Implied 1X2 · Al-Fayha 43.1% · Draw 27.9% · Abha 29.0%
- Bookmaker · Pinnacle
Aug 28, 2026 · 16:00 UTC Kickoff
FT Full-time result Al-Fayha win · 3–2
FT Prediction validated Directional lean matched full-time result
Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe

Historical Decision No Primary Bet

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 75/100 · High

Validation: Pass

Evidence ★★★★★

No strong statistical edge
Direction agrees with model lean
Validation passed

Pricing proximity (inverse gap) 61/100

Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 02:44 UTC Snapshot ID: dp-4929447

Closing Odds 2.21

AI Fair Odds —

CLV Pending

Final Result Al-Fayha win · Al-Fayha 3–2 Abha

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

Pre-match snapshot for this fixture.

League: Pro League
Fixture: Al-Fayha vs Abha
Kickoff: 2026-08-28 16:00:00
1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
xG (showing): Al-Fayha 1.33 — Abha 1.33 (total xG ≈ 2.66)
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: No Primary Bet

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 30, 2026 (UTC)

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Pro League — Standings

#	TEAM	MP	W	D	L	PTS
1	Al-Hilal Saudi FC	7	6	0	1	18
2	Al-Ittihad FC	7	5	2	0	17
3	Al-Nassr	7	5	1	1	16
4	Al-Qadisiyah FC	7	5	1	1	16
5	NEOM	7	5	0	2	15
6	Al-Ahli Jeddah	7	4	0	3	12
7	Al Kholood	7	3	3	1	12
8	Al Diriyah	7	3	2	2	11
9	Al-Ettifaq	7	3	2	2	11
10	Al-Hazm	7	2	2	3	8
11	Al Riyadh	7	2	2	3	8
12	Al-Fayha	7	1	3	3	6
13	Al Khaleej Saihat	7	0	5	2	5
14	Al Shabab	7	0	4	3	4
15	Al-Fateh	7	0	3	4	3
16	Al-Faisaly FC	7	0	3	4	3
17	Al Taawon	7	0	3	4	3
18	Abha	7	0	2	5	2

#	TEAM	MP	GS	GC	+/-	PTS
1	Al-Hilal Saudi FC	7	23	5	+18	18
2	Al-Nassr	7	16	7	+9	16
3	Al-Qadisiyah FC	7	16	8	+8	16
4	Al-Ahli Jeddah	7	16	10	+6	12
5	NEOM	7	13	6	+7	15
6	Al-Ittihad FC	7	12	6	+6	17
7	Al Kholood	7	12	10	+2	12
8	Al-Ettifaq	7	11	11	0	11
9	Al Riyadh	7	8	16	-8	8
10	Al Diriyah	7	7	5	+2	11
11	Al-Hazm	7	7	9	-2	8
12	Al-Fayha	7	7	11	-4	6
13	Al Shabab	7	6	11	-5	4
14	Al-Faisaly FC	7	5	13	-8	3
15	Abha	7	5	13	-8	2
16	Al-Fateh	7	4	11	-7	3
17	Al Khaleej Saihat	7	3	10	-7	5
18	Al Taawon	7	3	12	-9	3

#	TEAM	MP	xG	xGC	+/-	PTS
1	Al-Hilal Saudi FC	7	13.7	4.9	+8.8	18
2	Al-Qadisiyah FC	7	9.1	3.6	+5.5	16
3	Al-Nassr	7	8.4	3.0	+5.4	16
4	Al Kholood	7	10.9	7.3	+3.6	12
5	Al-Ahli Jeddah	7	4.2	2.4	+1.8	12
6	Al-Ittihad FC	7	8.1	6.4	+1.7	17
7	Al-Ettifaq	7	6.7	5.7	+1.0	11
8	Al Diriyah	7	3.7	2.9	+0.8	11
9	Al Taawon	7	5.8	5.4	+0.4	3
10	NEOM	7	6.0	6.1	-0.1	15
11	Al Shabab	7	6.8	7.6	-0.8	4
12	Al-Fateh	7	4.5	6.9	-2.4	3
13	Al-Hazm	7	3.3	6.0	-2.7	8
14	Al Khaleej Saihat	7	4.2	7.2	-3.0	5
15	Abha	7	4.4	8.2	-3.8	2
16	Al Riyadh	7	3.4	8.5	-5.1	8
17	Al-Faisaly FC	7	4.5	9.7	-5.2	3
18	Al-Fayha	7	5.0	10.8	-5.8	6