Predictions / Football / Austria. Regionalliga - West / Pinzgau Saalfelden vs TSV St. Johann

Pinzgau Saalfelden vs TSV St. Johann Prediction, Odds & AI Betting Tips

May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
Betting Primary Pick (highest +EV)
BTTS No — Value
EV 45.5% Model 69.3%
Secondary (balanced value): Under 2.5 (EV 11.5%) — 54.4% Model
Lower EV than primary, but with higher model probability (more “stable” when shown).
Over / Under 2.5 Best value (+EV)
Over 2.5 45.6% · Under 2.5 54.4%
EV Over -18.83% · EV Under 11.52%
Value lean: Under 2.5
1X2 Lean
Pinzgau Saalfelden · Model 41.8%
implied 30.8%
Main consensus market · EV: 0.9%
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 12.8%
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 -18.83% · EV Under 11.52% (8 book pairs)
BTTS: EV Yes -47.81% · EV No 45.53%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Regionalliga - West
  • Fixture: Pinzgau Saalfelden vs TSV St. Johann
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Pinzgau Saalfelden 1.45 — TSV St. Johann 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 69.3% · Implied: 40.5% · Probability edge: +28.8 pts · Est. EV: +58.7%
  • BTTS (model): Yes 30.7% · No 69.3%
  • Correct score (top bin): 1-1 (12.8%)

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

The engine’s headline primary is: BTTS No.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

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.

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.

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.

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 23, 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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Regionalliga - West Regionalliga - WestStandings
# TEAM MP W D L PTS
1 Wacker Innsbruck 28 24 2 2 74
2 Kuchl 28 18 2 8 56
3 Imst 29 16 7 6 55
4 Seekirchen 28 17 3 8 54
5 Dornbirn 28 15 4 9 49
6 Bischofshofen 28 15 3 10 48
7 Hohenems 28 10 10 8 40
8 Schwaz 28 12 4 12 40
9 Kitzbühel 28 12 3 13 39
10 SVG Reichenau 29 12 3 14 39
11 Wals-Grünau 28 10 8 10 38
12 Lustenau 27 8 5 14 29
13 TSV St. Johann 27 7 4 16 25
14 Pinzgau Saalfelden 27 6 5 16 23
15 Rheindorf Altach II 27 5 6 16 21
16 Lauterach 28 5 5 18 20
17 Kufstein 28 3 10 15 19
# TEAM MP GS GC +/- PTS
1 Wacker Innsbruck 28 76 16 +60 74
2 Seekirchen 28 73 41 +32 54
3 Imst 29 64 37 +27 55
4 Dornbirn 28 55 38 +17 49
5 Bischofshofen 28 54 35 +19 48
6 Kuchl 28 53 39 +14 56
7 Wals-Grünau 28 49 52 -3 38
8 Schwaz 28 48 48 0 40
9 Hohenems 28 46 42 +4 40
10 Lustenau 27 40 66 -26 29
11 Lauterach 28 39 68 -29 20
12 SVG Reichenau 29 37 51 -14 39
13 Kitzbühel 28 36 38 -2 39
14 TSV St. Johann 27 33 51 -18 25
15 Rheindorf Altach II 27 29 62 -33 21
16 Kufstein 28 24 46 -22 19
17 Pinzgau Saalfelden 27 22 48 -26 23