Statistics / Football / Austria. Regionalliga - Mitte / SV Lafnitz vs Voitsberg

SV Lafnitz vs Voitsberg Statistics & Analysis

SV Lafnitz SV Lafnitz
May 15, 2026 - 17:00
1 1.45
3 1.25
xG Accuracy: 55%
Voitsberg Voitsberg
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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 SV Lafnitz Draw ✖ Incorrect
  • Correct Score Insights 1-2 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - Mitte
  • Fixture: SV Lafnitz vs Voitsberg
  • Kickoff: 2026-05-15 17:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): SV Lafnitz 1.45 — Voitsberg 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 46.6% · Implied: 30.3% · Probability edge: +16.3 pts · Est. EV: +58.4%
  • BTTS (model): Yes 53.4% · No 46.6%
  • Correct score (top bin): 1-2 (9.8%)

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.

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.

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.

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.

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 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
Regionalliga - Mitte Regionalliga - Mitte — Standings
# TEAM MP W D L PTS
1 Voitsberg 27 24 1 2 73
2 Gurten 27 17 4 6 55
3 Kalsdorf 27 15 4 8 49
4 Oedt 27 13 9 5 48
5 LASK Juniors 26 14 5 7 47
6 Deutschlandsberger SC 27 13 8 6 47
7 Velden 27 11 6 10 39
8 SV Lafnitz 27 11 6 10 39
9 Weiz 27 10 8 9 38
10 Wallern / Marienkirchen 27 11 4 12 37
11 Wohnbau Dietach 27 8 4 15 28
12 Wolfsberger AC II 26 7 6 13 27
13 Gleisdorf 09 27 6 8 13 26
14 Ried II 27 6 4 17 22
15 Treibach 27 6 2 19 20
16 St. Anna 27 1 5 21 8
# TEAM MP GS GC +/- PTS
1 Voitsberg 27 103 19 +84 73
2 LASK Juniors 26 61 32 +29 47
3 Weiz 27 58 60 -2 38
4 Kalsdorf 27 54 43 +11 49
5 Deutschlandsberger SC 27 54 45 +9 47
6 Gurten 27 53 28 +25 55
7 Oedt 27 52 28 +24 48
8 SV Lafnitz 27 50 54 -4 39
9 Velden 27 43 44 -1 39
10 Wallern / Marienkirchen 27 40 42 -2 37
11 Gleisdorf 09 27 40 68 -28 26
12 Ried II 27 38 67 -29 22
13 Wolfsberger AC II 26 31 38 -7 27
14 Treibach 27 29 64 -35 20
15 Wohnbau Dietach 27 28 49 -21 28
16 St. Anna 27 18 71 -53 8
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