Statistics / Football / World. Friendlies / Bolivia vs Algeria

Bolivia vs Algeria Statistics & Analysis

Jun 11, 2026 - 00:00
0 1.20
4 1.50
xG Accuracy: 36%
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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Algeria Algeria ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-4 ✖ Incorrect

Validation Report

Prediction Time: Frozen pre-match snapshot

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Algeria win · Bolivia 0–4 Algeria
Prediction ✔ Correct
Decision Grade B-

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: Friendlies
  • Fixture: Bolivia vs Algeria
  • Kickoff: 2026-06-11 00:00:00
  • 1X2 (model): Home N/A · Draw N/A · Away N/A
  • xG (showing): Bolivia 1.2 — Algeria 1.5 (total xG ≈ 2.7)
  • 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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 29, 2026 (UTC)

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