Statistics / Football / Egypt. Second League / AL Nasr SC vs El Seka El Hadid

AL Nasr SC vs El Seka El Hadid Statistics & Analysis

AL Nasr SC AL Nasr SC
Sep 24, 2026 - 13:30
3 1.38
1 1.22
xG Accuracy: 60%
El Seka El Hadid El Seka El Hadid
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Tracked markets vs full-time result

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

Validation Report

Immutable Snapshot

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

Closing Odds 2.68
AI Fair Odds —
CLV +0.0%
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%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices AL Nasr SC (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Over 2.5 goals by about 18.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
AL Nasr SC (1X2) 39.0 32.6 +6.4
Draw (1X2) 29.5 34.5 -5.0
El Seka El Hadid (1X2) 31.5 32.9 -1.4
Over 2.5 goals 48.2 30.0 +18.2
Under 2.5 goals 51.8 70.0 -18.2
What this means

In plain terms: the model lands near 48.2% on Over 2.5 goals, while the closing snapshot implied about 30.0%. The difference — about 18.2 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
AL Nasr SC (1X2) 2.68 2.68 0.0
Draw (1X2) 2.53 2.53 0.0
El Seka El Hadid (1X2) 2.66 2.66 0.0
Over 2.5 goals 3.01 3.01 0.0
Under 2.5 goals 1.29 1.29 0.0

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): BTTS Yes
  • Model: 54.4% · Implied: 39.4% · Probability edge: +15.0 pts · Est. EV: +30.6%
  • 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: 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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Back to Statistics
Second League 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
Second League Egypt. Second League Predictions