Prediction Audit: AL Nasr SC vs El Seka El Hadid Prediction, Odds & AI Betting Tips

AL Nasr SC

Sep 24, 2026 - 13:30

3 1.38

1 1.22

xG Accuracy: 60%

El Seka El Hadid

AI correctly predicted the AL Nasr SC win.

The match finished 3–1, 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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 AL Nasr SC AL Nasr SC ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
AL Nasr SC	39.0%	32.6%	+6.4 pp	Model Higher
Draw	29.5%	34.5%	-5.0 pp	Aligned
El Seka El Hadid	31.5%	32.9%	-1.4 pp	Aligned

The statistical model estimates AL Nasr SC's win probability at 39.0%, compared with the closing market's implied probability of 32.6%, a difference of 6.4 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 model's directional lean matched the result (AL Nasr SC win 3–1).

Market Assessment

The fair estimate shows a modest edge over current market pricing on AL Nasr SC.

Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
Both Teams To Score (Yes) matched the full-time result
Over 2.5 goals aligned with the xG profile

What failed

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 Nasr SC more conservatively (32.6% vs model 39.0%, 6.4 pp), but the model's lean was validated (AL Nasr SC win 3–1).

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Prediction Timeline

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

Sep 24, 2026 · 13:29 UTC Forecast generated
- Model 1X2 · AL Nasr SC 39.0% · Draw 29.5% · El Seka El Hadid 31.5%
- xG · AL Nasr SC 1.38 — El Seka El Hadid 1.22
Sep 24, 2026 · 12:59 UTC Opening odds snapshot PRE30
- 1X2 odds · AL Nasr SC 2.68 · Draw 2.53 · El Seka El Hadid 2.66
- Implied 1X2 · AL Nasr SC 32.6% · Draw 34.5% · El Seka El Hadid 32.9%
- Bookmaker · Pinnacle
Sep 24, 2026 · 13:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · AL Nasr SC 2.68 · Draw 2.53 · El Seka El Hadid 2.66
- Implied 1X2 · AL Nasr SC 32.6% · Draw 34.5% · El Seka El Hadid 32.9%
- Bookmaker · Pinnacle
Sep 24, 2026 · 13:30 UTC Kickoff
FT Full-time result AL Nasr SC win · 3–1
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: Monitor

Historical Decision Monitor

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 76/100 · High

Validation: Pass

Evidence ★★★★★

No strong statistical edge
Direction agrees with model lean
Validation passed

Pricing proximity (inverse gap) 23/100

Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 18, 2026 · 01:50 UTC Snapshot ID: dp-9339153

Closing Odds 2.68

AI Fair Odds —

CLV Pending

Final Result AL Nasr SC win · AL Nasr SC 3–1 El Seka El Hadid

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Second League
Fixture: AL Nasr SC vs El Seka El Hadid
Kickoff: 2026-09-24 13:30:00
1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
xG (showing): AL Nasr SC 1.38 — El Seka El Hadid 1.22 (total xG ≈ 2.6)
Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
Model: 48.2% · Implied: 35.5% · Probability edge: +12.7 pts · Est. EV: +32.6%
BTTS (model): Yes 54.4% · No 45.6%
Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Monitor

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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Second League — Standings

#	TEAM	MP	W	D	L	PTS
1	Masar	6	5	1	0	16
2	Maleyet Kafr El Zayiat	6	4	2	0	14
3	Kahraba Ismailia	6	4	1	1	13
4	Haras El Hodood	5	4	1	0	13
5	Pharco	6	4	1	1	13
6	AL Nasr SC	6	2	3	1	9
7	Itesalat	5	3	0	2	9
8	Tersana	5	2	2	1	8
9	El Mansura	6	2	2	2	8
10	Team	6	2	1	3	7
11	Tanta SC	5	2	1	2	7
12	El Seka El Hadid	6	2	1	3	7
13	El Entag EL Harby	5	1	3	1	6
14	El Dakhleya	6	1	3	2	6
15	Baladiyyat Al Mehalla	5	1	1	3	4
16	La Viena FC	5	0	3	2	3
17	Proxy	6	1	0	5	3
18	Mega Sport	5	0	2	3	2
19	Ismaily SC	5	0	2	3	2
20	Dayrout	5	0	0	5	0

#	TEAM	MP	GS	GC	+/-	PTS
1	Masar	6	13	3	+10	16
2	Kahraba Ismailia	6	11	4	+7	13
3	Maleyet Kafr El Zayiat	6	8	2	+6	14
4	Haras El Hodood	5	8	2	+6	13
5	Pharco	6	8	5	+3	13
6	AL Nasr SC	6	7	4	+3	9
7	Itesalat	5	7	5	+2	9
8	El Entag EL Harby	5	7	5	+2	6
9	El Mansura	6	6	7	-1	8
10	Team	6	6	7	-1	7
11	El Seka El Hadid	6	6	9	-3	7
12	Tersana	5	4	4	0	8
13	Tanta SC	5	4	5	-1	7
14	Ismaily SC	5	4	9	-5	2
15	Baladiyyat Al Mehalla	5	3	5	-2	4
16	La Viena FC	5	3	5	-2	3
17	El Dakhleya	6	3	6	-3	6
18	Mega Sport	5	3	6	-3	2
19	Proxy	6	2	7	-5	3
20	Dayrout	5	0	13	-13	0