Statistics / Football / World. CONCACAF Nations League / Cuba vs St. Kitts and Nevis

Cuba vs St. Kitts and Nevis Statistics & Analysis

Oct 05, 2026 - 21:00
2 1.29
2 1.31
xG Accuracy: 68%
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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 St. Kitts and Nevis Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 29, 2026 · 01:47 UTC Snapshot ID: dp-11674110

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Cuba 2–2 St. Kitts and Nevis
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

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

  • League: CONCACAF Nations League
  • Fixture: Cuba vs St. Kitts and Nevis
  • Kickoff: 2026-10-05 21:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Cuba 1.29 — St. Kitts and Nevis 1.31 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 36.2% · Probability edge: +15.6 pts · Est. EV: +43.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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 08, 2026 (UTC)

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