Statistics / Football / Turkey. 2. Lig / Aliağa FAŞ vs Şanlıurfaspor

Aliağa FAŞ vs Şanlıurfaspor Statistics & Analysis

Aliağa FAŞ Aliağa FAŞ
Sep 27, 2026 - 16:00
2 1.36
1 1.24
xG Accuracy: 78%
Şanlıurfaspor Şanlıurfaspor
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Aliağa FAŞ Aliağa FAŞ ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:06 UTC Snapshot ID: dp-10105391

Closing Odds 2.36
AI Fair Odds —
CLV +0.0%
Final Result Aliağa FAŞ win · Aliağa FAŞ 2–1 Şanlıurfaspor
Prediction ✔ Correct
Decision Grade F

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 Aliağa FAŞ (1X2), Draw (1X2), Under 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 Aliağa FAŞ (1X2) by about 3.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Aliağa FAŞ (1X2) 38.0 34.1 +3.9
Draw (1X2) 29.6 27.5 +2.1
Şanlıurfaspor (1X2) 32.4 38.4 -6.0
Over 2.5 goals 48.2 49.6 -1.4
Under 2.5 goals 51.8 50.4 +1.4
What this means

In plain terms: the model lands near 38.0% on Aliağa FAŞ (1X2), while the closing snapshot implied about 34.1%. The difference — about 3.9 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)
Aliağa FAŞ (1X2) 2.65 2.65 0.0
Draw (1X2) 3.29 3.29 0.0
Şanlıurfaspor (1X2) 2.36 2.36 0.0
Over 2.5 goals 1.89 1.89 0.0
Under 2.5 goals 1.86 1.86 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 2. Lig
  • Fixture: Aliağa FAŞ vs Şanlıurfaspor
  • Kickoff: 2026-09-27 16:00:00
  • 1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
  • xG (showing): Aliağa FAŞ 1.36 — Şanlıurfaspor 1.24 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 No
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 01, 2026 (UTC)

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Back to Statistics
2. Lig 2. Lig — Standings
# TEAM MP W D L PTS
1 Elazığspor 3 3 0 0 9
2 Çorluspor 1947 3 2 1 0 7
3 Muş Menderesspor 3 2 1 0 7
4 İnegöl Kafkas Gençlik 4 2 1 1 7
5 Belediye Derincespor 3 2 1 0 7
6 Somaspor 4 2 1 1 7
7 Aliağa FAŞ 3 2 0 1 6
8 68 Aksaray Belediyespor 3 1 2 0 5
9 Şanlıurfaspor 3 1 2 0 5
10 Erbaaspor 3 1 1 1 4
11 Menemen Belediyespor 3 1 0 2 3
12 Ankaraspor 4 1 0 3 3
13 Sebat Gençlikspor 3 0 1 2 1
14 Isparta 32 Spor 3 0 1 2 1
15 Arnavutköy Belediyespor 3 0 0 3 0
16 Kastamonuspor 1966 4 1 0 3 0
17 Hatayspor 3 0 1 2
18 Adana Demirspor 3 1 1 1
# TEAM MP GS GC +/- PTS
1 Muş Menderesspor 3 11 5 +6 7
2 Elazığspor 3 10 1 +9 9
3 İnegöl Kafkas Gençlik 4 9 6 +3 7
4 Somaspor 4 8 7 +1 7
5 Erbaaspor 3 8 8 0 4
6 Çorluspor 1947 3 7 0 +7 7
7 68 Aksaray Belediyespor 3 7 4 +3 5
8 Belediye Derincespor 3 6 3 +3 7
9 Aliağa FAŞ 3 6 6 0 6
10 Sebat Gençlikspor 3 6 9 -3 1
11 Şanlıurfaspor 3 5 4 +1 5
12 Menemen Belediyespor 3 4 7 -3 3
13 Isparta 32 Spor 3 4 7 -3 1
14 Adana Demirspor 3 3 4 -1
15 Ankaraspor 4 2 6 -4 3
16 Kastamonuspor 1966 4 2 12 -10 0
17 Arnavutköy Belediyespor 3 1 7 -6 0
18 Hatayspor 3 0 3 -3
2. Lig Turkey. 2. Lig Predictions