Paraguay W vs Colombia W Statistics & Analysis

Jun 09, 2026 - 23:00
3 1.81
4 1.12
xG Accuracy: 33%
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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 Over 2.5 Over 2.5 (7 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Paraguay W Colombia W ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 3-4 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: CONMEBOL Nations League Women
  • Fixture: Paraguay W vs Colombia W
  • Kickoff: 2026-06-09 20:00:00
  • 1X2 (model): Home 52.1% · Draw 25.9% · Away 22.0%
  • xG (showing): Paraguay W 1.81 — Colombia W 1.12 (total xG ≈ 2.93)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 57.8% · Implied: 46.8% · Probability edge: +11.0 pts · Est. EV: +19.1%
  • BTTS (model): Yes 57.8% · No 42.2%
  • Correct score (top bin): 1-1 (10.8%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Best Bet + Reason

The engine’s headline primary is: BTTS Yes.

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

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.

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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.

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 13, 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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Back to Statistics
CONMEBOL Nations League WomenStandings
# TEAM MP W D L PTS
1 Colombia W 8 6 2 0 20
2 Argentina W 8 5 3 0 18
3 Venezuela W 8 3 3 2 12
4 Ecuador W 8 3 2 3 11
5 Peru W 8 3 2 3 11
6 Chile W 8 3 1 4 10
7 Paraguay W 8 3 1 4 10
8 Uruguay W 8 1 3 4 6
9 Bolivia W 8 0 1 7 1
# TEAM MP GS GC +/- PTS
1 Venezuela W 8 19 6 +13 12
2 Argentina W 8 18 5 +13 18
3 Paraguay W 8 17 11 +6 10
4 Colombia W 8 16 7 +9 20
5 Peru W 8 12 15 -3 11
6 Chile W 8 11 9 +2 10
7 Ecuador W 8 8 6 +2 11
8 Uruguay W 8 7 11 -4 6
9 Bolivia W 8 2 40 -38 1