Statistics / Football / Portugal. Liga 3 / Trofense vs Guimaraes B

Trofense vs Guimaraes B Statistics & Analysis

May 09, 2026 - 14:00
1 1.45
1 1.25
xG Accuracy: 82%
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Trofense Draw ✖ Incorrect
  • Correct Score Insights 0-0 1-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Liga 3
  • Fixture: Trofense vs Guimaraes B
  • Kickoff: 2026-05-10 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Trofense 1.45 — Guimaraes B 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 67.7% · Implied: 51.4% · Probability edge: +16.3 pts · Est. EV: +30.0%
  • BTTS (model): Yes 43.4% · No 56.6%
  • Correct score (top bin): 0-0 (13.5%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

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

Edges shrink quickly if prices move; always re-check the number on your book.

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.

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.

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

May 17, 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
Liga 3 Liga 3Standings
# TEAM MP W D L PTS
1 Guimaraes B 18 8 5 5 29
2 Amarante 18 8 5 5 29
3 Trofense 18 7 7 4 28
4 Varzim 18 7 7 4 28
5 Paredes 18 6 9 3 27
6 SC Braga B 18 6 7 5 25
7 Fafe 18 6 6 6 24
8 AD Marco 09 18 4 7 7 19
9 São João Ver 18 2 8 8 14
10 Sanjoanense 18 2 7 9 13
# TEAM MP GS GC +/- PTS
1 Varzim 18 26 17 +9 28
2 Trofense 18 23 15 +8 28
3 Fafe 18 23 21 +2 24
4 Paredes 18 22 12 +10 27
5 Guimaraes B 18 20 16 +4 29
6 Sanjoanense 18 20 32 -12 13
7 Amarante 18 19 17 +2 29
8 SC Braga B 18 16 17 -1 25
9 AD Marco 09 18 15 22 -7 19
10 São João Ver 18 11 26 -15 14