Bizau vs Röthis Prediction, Odds & AI Betting Tips

May 09, 2026 - 15:00
0 1.45
4 1.25
xG Accuracy: 32%
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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 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 draw Röthis ✖ Incorrect
  • Correct Score Insights 1-2, 1-1, 0-2, 1-3, 0-1 0-4 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Landesliga - Vorarlbergliga
  • Fixture: Bizau vs Röthis
  • Kickoff: 2026-05-09 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Bizau 1.45 — Röthis 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 33.0% · Over 2.5 67.0%); BTTS Yes (Yes 84.0% · No 16.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 84.0% · No 16.0%
  • Correct score (top bin): 1-2 (9.5%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No bankroll-sized bet is implied here.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

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 24, 2026 (UTC)

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Back to Predictions
Landesliga - Vorarlbergliga Landesliga - VorarlbergligaStandings
# TEAM MP W D L PTS
1 Röthis 22 12 5 5 41
2 Admira Dornbirn 22 12 4 6 40
3 Wolfurt 22 13 0 9 39
4 Lochau 22 12 3 7 39
5 FC Egg 21 12 2 7 38
6 Dornbirner SV 22 9 7 6 34
7 Hard 22 11 2 9 35
8 Austria Lustenau II 22 9 2 11 29
9 Rotenberg 23 7 6 10 27
10 Ludesch 21 7 4 10 25
11 Blau-Weiß Feldkirch 20 7 3 10 24
12 Nenzing 21 6 4 11 22
13 Bizau 22 5 6 11 21
14 Göfis 21 3 6 12 15
# TEAM MP GS GC +/- PTS
1 Admira Dornbirn 22 50 39 +11 40
2 Wolfurt 22 48 37 +11 39
3 Röthis 22 47 26 +21 41
4 Dornbirner SV 22 44 27 +17 34
5 Austria Lustenau II 22 41 43 -2 29
6 Blau-Weiß Feldkirch 20 36 46 -10 24
7 FC Egg 21 34 23 +11 38
8 Lochau 22 34 27 +7 39
9 Rotenberg 23 33 36 -3 27
10 Bizau 22 31 46 -15 21
11 Nenzing 21 31 47 -16 22
12 Ludesch 21 30 35 -5 25
13 Hard 22 29 27 +2 35
14 Göfis 21 27 52 -25 15