Statistics / Football / World. Central American and Caribbean Games / Dominican Republic W vs Costa Rica W

Dominican Republic W vs Costa Rica W Statistics & Analysis

Jul 31, 2026 - 23:00
1 1.32
2 1.28
xG Accuracy: 75%
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 Dominican Republic W Costa Rica W ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 01:53 UTC Snapshot ID: dp-2556282

Closing Odds 1.56
AI Fair Odds —
CLV +0.0%
Final Result Costa Rica W win · Dominican Republic W 1–2 Costa Rica W
Prediction ✖ Missed
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 Dominican Republic W (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 Dominican Republic W (1X2) by about 14.5 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Dominican Republic W (1X2) 36.1 21.6 +14.5
Draw (1X2) 29.7 21.4 +8.3
Costa Rica W (1X2) 34.2 57.0 -22.8
Over 2.5 goals 48.2 58.5 -10.3
Under 2.5 goals 51.8 41.5 +10.3
What this means

In plain terms: the model lands near 36.1% on Dominican Republic W (1X2), while the closing snapshot implied about 21.6%. The difference — about 14.5 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)
Dominican Republic W (1X2) 4.11 4.11 0.0
Draw (1X2) 4.16 4.16 0.0
Costa Rica W (1X2) 1.56 1.56 0.0
Over 2.5 goals 1.56 1.56 0.0
Under 2.5 goals 2.2 2.2 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Central American and Caribbean Games
  • Fixture: Dominican Republic W vs Costa Rica W
  • Kickoff: 2026-07-31 23:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Dominican Republic W 1.32 — Costa Rica W 1.28 (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: 42.5% · Probability edge: +9.3 pts · Est. EV: +21.7%
  • BTTS (model): Yes 54.5% · No 45.5%
  • 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: Wait - 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 01, 2026 (UTC)

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