St. Anna vs SV Lafnitz Prediction, Odds & AI Betting Tips

May 23, 2026 - 17:00
1.45
1.25
42% 26% 33%
Betting Primary Pick (highest +EV)
BTTS No — Value
EV 74.4% Model 73.9%
Secondary (balanced value): Under 2.5 (EV 22.2%) — 44.6% Model
Lower EV than primary, but with higher model probability (more “stable” when shown).
Over / Under 2.5 Best value (+EV)
Over 2.5 55.4% · Under 2.5 44.6%
EV Over -20.22% · EV Under 22.2%
Value lean: Under 2.5
1X2 Best value (+EV)
St. Anna · Model 41.8%
implied 19.5%
EV: 3.4%
Best line EV (1X2) 3.4%
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 10.7%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 6.5 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -20.22% · EV Under 22.2% (6 book pairs)
BTTS: EV Yes -60.07% · EV No 74.4%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - Mitte
  • Fixture: St. Anna vs SV Lafnitz
  • Kickoff: 2026-05-23 17:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): St. Anna 1.45 — SV Lafnitz 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 73.9% · Implied: 39.3% · Probability edge: +34.6 pts · Est. EV: +73.7%
  • BTTS (model): Yes 26.1% · No 73.9%
  • Correct score (top bin): 1-1 (10.7%)

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

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.

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.

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.

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 22, 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 Predictions
Regionalliga - Mitte Regionalliga - MitteStandings
# 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 LASK Juniors 27 14 6 7 48
5 Oedt 27 13 9 5 48
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 Wolfsberger AC II 27 7 7 13 28
12 Wohnbau Dietach 27 8 4 15 28
13 Gleisdorf 09 28 6 9 13 27
14 Ried II 27 6 4 17 22
15 Treibach 28 6 3 19 21
16 St. Anna 27 1 5 21 8
# TEAM MP GS GC +/- PTS
1 Voitsberg 27 103 19 +84 73
2 LASK Juniors 27 63 34 +29 48
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 Gleisdorf 09 28 42 70 -28 27
11 Wallern / Marienkirchen 27 40 42 -2 37
12 Ried II 27 38 67 -29 22
13 Wolfsberger AC II 27 33 40 -7 28
14 Treibach 28 31 66 -35 21
15 Wohnbau Dietach 27 28 49 -21 28
16 St. Anna 27 18 71 -53 8