Statistics / Football / Austria. Regionalliga - West / Bischofshofen vs Schwaz

Bischofshofen vs Schwaz Statistics & Analysis

Jun 03, 2026 - 17:00
4 1.26
3 1.22
xG Accuracy: 29%
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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 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Bischofshofen Bischofshofen ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 4-3 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - West
  • Fixture: Bischofshofen vs Schwaz
  • Kickoff: 2026-06-04 15:00:00
  • 1X2 (model): Home 35.7% · Draw 30.5% · Away 33.8%
  • xG (showing): Bischofshofen 1.26 — Schwaz 1.22 (total xG ≈ 2.48)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 54.9% · Implied: 37.5% · Probability edge: +17.4 pts · Est. EV: +40.0%
  • BTTS (model): Yes 52.2% · No 47.8%
  • Correct score (top bin): 1-1 (12.9%)

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: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

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.

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.

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

June 06, 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 - West Regionalliga - WestStandings
# TEAM MP W D L PTS
1 Wacker Innsbruck 30 26 2 2 80
2 Kuchl 30 20 2 8 62
3 Seekirchen 30 18 4 8 58
4 Imst 30 17 7 6 58
5 Dornbirn 31 16 4 11 52
6 Bischofshofen 30 16 3 11 51
7 Hohenems 31 11 11 9 44
8 Schwaz 31 13 5 13 44
9 SVG Reichenau 30 13 3 14 42
10 Kitzbühel 30 12 4 14 40
11 Wals-Grünau 30 10 8 12 38
12 TSV St. Johann 30 9 5 16 32
13 Lustenau 30 8 7 15 31
14 Rheindorf Altach II 30 7 6 17 27
15 Pinzgau Saalfelden 30 6 6 18 24
16 Kufstein 30 4 10 16 22
17 Lauterach 31 5 5 21 20
# TEAM MP GS GC +/- PTS
1 Wacker Innsbruck 30 81 17 +64 80
2 Seekirchen 30 78 45 +33 58
3 Imst 30 66 37 +29 58
4 Dornbirn 31 61 44 +17 52
5 Kuchl 30 59 40 +19 62
6 Bischofshofen 30 58 40 +18 51
7 Schwaz 31 56 54 +2 44
8 Hohenems 31 53 49 +4 44
9 Wals-Grünau 30 51 60 -9 38
10 Lustenau 30 45 73 -28 31
11 TSV St. Johann 30 43 53 -10 32
12 Lauterach 31 40 78 -38 20
13 SVG Reichenau 30 39 52 -13 42
14 Kitzbühel 30 37 41 -4 40
15 Rheindorf Altach II 30 33 65 -32 27
16 Kufstein 30 27 48 -21 22
17 Pinzgau Saalfelden 30 24 55 -31 24