Bolivia W vs Paraguay W Statistics & Analysis

Bolivia W

Jun 05, 2026 - 23:00

0 1.75

8 1.18

xG Accuracy: 10%

Paraguay W

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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

Market Prediction Result Outcome
Over / Under 2.5 Under 2.5 Over 2.5 (8 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Bolivia W Paraguay W ✖ Incorrect
Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 0-8 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

League: CONMEBOL Nations League Women
Fixture: Bolivia W vs Paraguay W
Kickoff: 2026-06-05 20:00:00
1X2 (model): Home 49.3% · Draw 26.4% · Away 24.3%
xG (showing): Bolivia W 1.75 — Paraguay W 1.18 (total xG ≈ 2.93)
Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
Model: 43.9% · Implied: 15.0% · Probability edge: +28.9 pts · Est. EV: +207.3%
BTTS (model): Yes 58.7% · No 41.3%
Correct score (top bin): 1-1 (11.0%)

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.

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Risk Factors

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%).

Methodology

Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
Compliance: Educational framing only; not personalised advice.

Last Updated

June 08, 2026 (UTC)

How to use this

Focus on the Primary line when you want one actionable idea.
Do not parlay many thin-edge picks together; edges do not add reliably.
Treat longshots as optional, high-stake-sizing plays only.

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