Statistics / Football / Switzerland. Challenge League / Neuchatel Xamax FC vs Étoile Carouge

Neuchatel Xamax FC vs Étoile Carouge Statistics & Analysis

May 11, 2026 - 18:15
3 1.45
0 1.25
xG Accuracy: 46%
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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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Neuchatel Xamax FC Neuchatel Xamax FC ✔ Correct
  • Correct Score Insights 1-1 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Challenge League
  • Fixture: Neuchatel Xamax FC vs Étoile Carouge
  • Kickoff: 2026-05-11 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Neuchatel Xamax FC 1.45 — Étoile Carouge 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 48.1% · Implied: 34.9% · Probability edge: +13.2 pts · Est. EV: +32.3%
  • BTTS (model): Yes 51.9% · No 48.1%
  • Correct score (top bin): 1-1 (11.6%)

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

Primary angle highlighted on the page: BTTS No.

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

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.

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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
Challenge League Challenge LeagueStandings
# TEAM MP W D L PTS
1 FC Aarau 35 25 4 6 79
2 FC Vaduz 35 24 6 5 78
3 Yverdon Sport 35 20 6 9 66
4 Neuchatel Xamax FC 35 14 7 14 49
5 Stade Lausanne-Ouchy 35 13 8 14 47
6 Rapperswil 35 13 2 20 41
7 FC WIL 1900 35 10 10 15 40
8 Étoile Carouge 35 10 9 16 39
9 Stade Nyonnais 35 5 13 17 28
10 Bellinzona 35 5 7 23 22
# TEAM MP GS GC +/- PTS
1 FC Aarau 35 75 45 +30 79
2 Yverdon Sport 35 73 46 +27 66
3 FC Vaduz 35 72 40 +32 78
4 Stade Lausanne-Ouchy 35 57 50 +7 47
5 Neuchatel Xamax FC 35 54 54 0 49
6 Rapperswil 35 50 61 -11 41
7 Étoile Carouge 35 44 52 -8 39
8 FC WIL 1900 35 38 52 -14 40
9 Bellinzona 35 38 75 -37 22
10 Stade Nyonnais 35 32 58 -26 28