Predictions / Football / Austria. Regionalliga - West / Hohenems vs Wals-Grünau

Hohenems vs Wals-Grünau Prediction, Odds & AI Betting Tips

May 16, 2026 - 15:00
3 1.45
3 1.25
xG Accuracy: 40%

Forecast Assessment

Reliable forecast

Favourite
Hohenems Balanced match
Model probability
41.8%
Market agreement
Validation
Pending

Summary:

The model and market both lean Hohenems, but neither indicates a dominant favourite. Draw and Wals-Grünau remain plausible — this is a relatively open match.

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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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Hohenems Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - West
  • Fixture: Hohenems vs Wals-Grünau
  • Kickoff: 2026-05-16 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Hohenems 1.45 — Wals-Grünau 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 55.0% · Implied: 37.3% · Probability edge: +17.7 pts · Est. EV: +39.1%
  • BTTS (model): Yes 45.0% · No 55.0%
  • Correct score (top bin): 1-1 (12.4%)

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

The engine’s headline primary is: BTTS No.

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.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

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.

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.

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.

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 11, 2026 (UTC)

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Back to Predictions
Regionalliga - West Regionalliga - WestStandings
# TEAM MP W D L PTS
1 Wacker Innsbruck 31 27 2 2 83
2 Kuchl 31 21 2 8 65
3 Seekirchen 31 19 4 8 61
4 Imst 31 18 7 6 61
5 Dornbirn 31 16 4 11 52
6 Bischofshofen 31 16 3 12 51
7 SVG Reichenau 31 14 3 14 45
8 Hohenems 31 11 11 9 44
9 Schwaz 32 13 5 14 44
10 Kitzbühel 31 13 4 14 43
11 Wals-Grünau 31 10 8 13 38
12 TSV St. Johann 31 9 5 17 32
13 Lustenau 31 8 7 16 31
14 Rheindorf Altach II 31 7 6 18 27
15 Kufstein 31 5 10 16 25
16 Pinzgau Saalfelden 31 6 6 19 24
17 Lauterach 31 5 5 21 20
# TEAM MP GS GC +/- PTS
1 Wacker Innsbruck 31 83 18 +65 83
2 Seekirchen 31 82 47 +35 61
3 Imst 31 68 38 +30 61
4 Kuchl 31 61 40 +21 65
5 Dornbirn 31 61 44 +17 52
6 Bischofshofen 31 58 42 +16 51
7 Schwaz 32 57 56 +1 44
8 Hohenems 31 53 49 +4 44
9 Wals-Grünau 31 53 64 -11 38
10 Lustenau 31 46 77 -31 31
11 TSV St. Johann 31 44 55 -11 32
12 SVG Reichenau 31 43 52 -9 45
13 Kitzbühel 31 42 43 -1 43
14 Lauterach 31 40 78 -38 20
15 Rheindorf Altach II 31 35 70 -35 27
16 Kufstein 31 31 49 -18 25
17 Pinzgau Saalfelden 31 24 59 -35 24