Statistics / Football / Portugal. Primeira Liga / Arouca vs Tondela

Arouca vs Tondela Statistics & Analysis

Arouca Arouca
May 16, 2026 - 17:00
3 1.37
1 0.98
xG Accuracy: 64%
Tondela Tondela
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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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Arouca Arouca ✔ Correct
  • Correct Score Insights 1-0 3-1 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Primeira Liga
  • Fixture: Arouca vs Tondela
  • Kickoff: 2026-05-17 16:00:00
  • 1X2 (model): Home 44.1% · Draw 30.7% · Away 25.2%
  • xG (showing): Arouca 1.37 — Tondela 0.98 (total xG ≈ 2.35)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 58.3% · Implied: 48.3% · Probability edge: +10.0 pts · Est. EV: +17.2%
  • BTTS (model): Yes 48.3% · No 51.7%
  • Correct score (top bin): 1-0 (13.1%)

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.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

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

FAQ

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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.

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.

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 19, 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
Primeira Liga Primeira Liga — Standings
# TEAM MP W D L PTS
1 FC Porto 34 28 4 2 88
2 Sporting CP 34 25 7 2 82
3 Benfica 34 23 11 0 80
4 SC Braga 34 16 11 7 59
5 Famalicao 34 15 11 8 56
6 GIL Vicente 34 13 11 10 50
7 Moreirense 34 12 7 15 43
8 Arouca 34 12 6 16 42
9 Guimaraes 34 12 6 16 42
10 Estoril 34 10 9 15 39
11 Alverca 34 10 9 15 39
12 Rio Ave 34 8 12 14 36
13 Santa Clara 34 9 9 16 36
14 Nacional 34 9 7 18 34
15 Estrela 34 6 12 16 30
16 Casa Pia 34 6 12 16 30
17 Tondela 34 6 10 18 28
18 AVS 34 3 12 19 21
# TEAM MP GS GC +/- PTS
1 Sporting CP 34 89 24 +65 82
2 Benfica 34 74 25 +49 80
3 FC Porto 34 66 18 +48 88
4 SC Braga 34 64 36 +28 59
5 Estoril 34 54 57 -3 39
6 GIL Vicente 34 47 38 +9 50
7 Arouca 34 47 64 -17 42
8 Famalicao 34 42 29 +13 56
9 Guimaraes 34 39 51 -12 42
10 Estrela 34 38 56 -18 30
11 Nacional 34 37 45 -8 34
12 Moreirense 34 37 49 -12 43
13 Alverca 34 35 52 -17 39
14 Rio Ave 34 35 57 -22 36
15 Santa Clara 34 32 41 -9 36
16 Casa Pia 34 31 57 -26 30
17 Tondela 34 27 55 -28 28
18 AVS 34 27 67 -40 21
# TEAM MP xG xGC +/- PTS
1 Sporting CP 34 69.0 23.9 +45.1 82
2 Benfica 34 68.4 27.3 +41.1 80
3 FC Porto 34 62.1 22.5 +39.6 88
4 SC Braga 34 57.3 37.3 +20.0 59
5 Famalicao 34 45.6 33.7 +11.9 56
6 GIL Vicente 34 44.9 36.8 +8.1 50
7 Santa Clara 34 36.4 35.2 +1.2 36
8 Alverca 34 39.6 39.2 +0.4 39
9 Guimaraes 34 39.3 45.4 -6.1 42
10 Tondela 34 36.6 48.7 -12.1 28
11 Estoril 34 42.8 55.2 -12.4 39
12 Nacional 34 37.9 50.6 -12.7 34
13 Estrela 34 39.8 52.7 -12.9 30
14 Rio Ave 34 34.2 52.3 -18.1 36
15 Arouca 34 30.8 49.4 -18.6 42
16 Moreirense 34 31.3 51.7 -20.4 43
17 Casa Pia 34 31.6 54.8 -23.2 30
18 AVS 34 31.9 62.6 -30.7 21
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