Statistics / Football / Greece. Super League 2 / Larisa vs Zakynthos

Larisa vs Zakynthos Statistics & Analysis

Sep 12, 2026 - 15:00
1 1.52
0 1.08
xG Accuracy: 64%
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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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Larisa Larisa ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:57 UTC Snapshot ID: dp-7449118

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Larisa win · Larisa 1–0 Zakynthos
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Super League 2
  • Fixture: Larisa vs Zakynthos
  • Kickoff: 2026-09-12 15:00:00
  • 1X2 (model): Home 45.8% · Draw 28.8% · Away 25.4%
  • xG (showing): Larisa 1.52 — Zakynthos 1.08 (total xG ≈ 2.6)
  • 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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.2% · No 46.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.2% · No 46.8%
  • Correct score (top bin): 1-1 (12.2%)

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 28, 2026 (UTC)

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Back to Statistics
Super League 2 Super League 2 — Standings
# TEAM MP W D L PTS
1 Larisa 4 3 1 0 10
2 Panionios 4 3 1 0 10
3 Marko 3 3 0 0 9
4 Ellas Syros 4 2 2 0 8
5 Panthrakikos 3 2 1 0 7
6 Panserraikos 4 2 0 2 6
7 Kallithea 3 2 0 1 6
8 Apollon Pontou 4 1 1 2 4
9 Nestos Chrisoupolis 4 1 1 2 4
10 PAOK II 4 1 1 2 4
11 Olympiakos Piraeus II 4 1 1 2 4
12 Niki Volos 4 1 0 3 3
13 Asteras Tripolis II 3 1 0 2 3
14 Anagennisi Karditsas 4 0 2 2 2
15 Pyrgos 1968 4 0 2 2 2
16 Zakynthos 4 0 1 3 1
# TEAM MP GS GC +/- PTS
1 Ellas Syros 4 9 3 +6 8
2 Larisa 4 7 1 +6 10
3 Marko 3 7 3 +4 9
4 Panserraikos 4 6 4 +2 6
5 Olympiakos Piraeus II 4 6 10 -4 4
6 Kallithea 3 5 4 +1 6
7 Panionios 4 4 0 +4 10
8 Niki Volos 4 4 5 -1 3
9 Panthrakikos 3 3 0 +3 7
10 Apollon Pontou 4 3 4 -1 4
11 Nestos Chrisoupolis 4 3 5 -2 4
12 PAOK II 4 3 5 -2 4
13 Zakynthos 4 2 7 -5 1
14 Asteras Tripolis II 3 1 3 -2 3
15 Anagennisi Karditsas 4 1 5 -4 2
16 Pyrgos 1968 4 0 5 -5 2