Statistics / Football / Cyprus. 1. Division / Apoel Nicosia vs Nea Salamis

Apoel Nicosia vs Nea Salamis Statistics & Analysis

Oct 10, 2026 - 16:00
2 1.45
1 1.15
xG Accuracy: 82%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 Yes Yes ✔ Correct
  • 1X2 Apoel Nicosia Apoel Nicosia ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Oct 05, 2026 · 03:55 UTC Snapshot ID: dp-13244435

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Apoel Nicosia win · Apoel Nicosia 2–1 Nea Salamis
Prediction ✔ Correct
Decision Grade B-

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 1. Division
  • Fixture: Apoel Nicosia vs Nea Salamis
  • Kickoff: 2026-10-10 16:00:00
  • 1X2 (model): Home 42.4% · Draw 29.2% · Away 28.4%
  • xG (showing): Apoel Nicosia 1.45 — Nea Salamis 1.15 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 53.9% · No 46.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.9% · No 46.1%
  • Correct score (top bin): 1-1 (12.4%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: AI Value Alert - 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 15, 2026 (UTC)

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Back to Statistics
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 AEK Larnaca 4 3 0 1 9
2 AEL 4 3 0 1 9
3 Omonia Nicosia 4 2 2 0 8
4 Pafos 4 2 1 1 7
5 Apollon Limassol 4 1 3 0 6
6 Omonia Aradippou 4 1 3 0 6
7 Omonia 29is Maiou 4 1 2 1 5
8 Aris 4 1 2 1 5
9 Apoel Nicosia 4 1 1 2 4
10 Olympiakos 4 0 4 0 4
11 Nea Salamis 4 1 1 2 4
12 Karmiotissa 4 0 3 1 3
13 Anorthosis 4 1 0 3 3
14 Digenis Ypsonas 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Apoel Nicosia 4 10 7 +3 4
2 AEK Larnaca 4 9 4 +5 9
3 Omonia 29is Maiou 4 9 7 +2 5
4 Omonia Nicosia 4 8 2 +6 8
5 Nea Salamis 4 8 9 -1 4
6 Apollon Limassol 4 7 5 +2 6
7 Olympiakos 4 7 7 0 4
8 AEL 4 6 7 -1 9
9 Pafos 4 4 2 +2 7
10 Omonia Aradippou 4 4 3 +1 6
11 Aris 4 4 6 -2 5
12 Karmiotissa 4 3 6 -3 3
13 Anorthosis 4 3 9 -6 3
14 Digenis Ypsonas 4 2 10 -8 0