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

Abha

Aug 13, 2026 - 16:15

1 0.82

2 0.82

xG Accuracy: 69%

Al-Hazm

The model missed the final outcome (Al-Hazm win 1–2).

The model had projected Draw at 35.1%, 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 Over 2.5 (3 goals) ✖ Incorrect
Both Teams To Score BTTS No Yes ✖ Incorrect
1X2 Draw Al-Hazm ✖ Incorrect
Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 1-2 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Abha	32.8%	37.7%	-4.8 pp	Aligned
Draw	35.1%	27.7%	+7.4 pp	Model Higher
Al-Hazm	32.0%	34.6%	-2.6 pp	Aligned

The statistical model estimates Draw's win probability at 35.1%, compared with the closing market's implied probability of 27.7%, a difference of 7.4 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Al-Hazm win 1–2.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

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

The closing market differed from the model on Draw by 7.4 percentage points (27.7% vs model 35.1%) — in this case the market view proved closer.

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Prediction Timeline

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

Aug 13, 2026 · 19:08 UTC Forecast generated
- Model 1X2 · Abha 32.8% · Draw 35.1% · Al-Hazm 32.1%
- xG · Abha 0.82 — Al-Hazm 0.82
Aug 13, 2026 · 15:44 UTC Opening odds snapshot PRE30
- 1X2 odds · Abha 2.53 · Draw 3.44 · Al-Hazm 2.75
- Implied 1X2 · Abha 37.7% · Draw 27.7% · Al-Hazm 34.6%
- Bookmaker · Pinnacle
Aug 13, 2026 · 16:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Abha 2.53 · Draw 3.44 · Al-Hazm 2.75
- Implied 1X2 · Abha 37.7% · Draw 27.7% · Al-Hazm 34.6%
- Bookmaker · Pinnacle
Aug 13, 2026 · 16:15 UTC Kickoff
FT Full-time result Al-Hazm win · 1–2
FT Prediction missed 1X2 lean did not match full-time result
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 Missed

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) 21/100

Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 07, 2026 · 01:43 UTC Snapshot ID: dp-3152339

Closing Odds 3.44

AI Fair Odds —

CLV Pending

Final Result Al-Hazm win · Abha 1–2 Al-Hazm

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: Pro League
Fixture: Abha vs Al-Hazm
Kickoff: 2026-08-13 16:15:00
1X2 (model): Home 0.0% · Draw 50.0% · Away 50.0%
xG (showing): Abha 0.82 — Al-Hazm 0.82 (total xG ≈ 1.64)
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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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: 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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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