Statistics / Football / Austria. 2. Liga / First Vienna vs Schwarz-Weiß Bregenz

First Vienna vs Schwarz-Weiß Bregenz Statistics & Analysis

First Vienna First Vienna
May 14, 2026 - 15:00
2 0.63
0 1.41
xG Accuracy: 47%
Schwarz-Weiß Bregenz Schwarz-Weiß Bregenz
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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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Schwarz-Weiß Bregenz First Vienna ✖ Incorrect
  • Correct Score Insights 1-1 2-0 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 2. Liga
  • Fixture: First Vienna vs Schwarz-Weiß Bregenz
  • Kickoff: 2026-05-14 16:00:00
  • 1X2 (model): Home 16.6% · Draw 27.4% · Away 56.0%
  • xG (showing): First Vienna 0.63 — Schwarz-Weiß Bregenz 1.41 (total xG ≈ 2.04)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.4% · Implied: 41.5% · Probability edge: +7.9 pts · Est. EV: +13.6%
  • BTTS (model): Yes 49.9% · No 50.1%
  • Correct score (top bin): 1-1 (11.8%)

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

Primary pick from the decision engine: Under 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

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

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.

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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
2. Liga 2. Liga — Standings
# TEAM MP W D L PTS
1 Austria Lustenau 28 16 6 6 54
2 SKN ST. Polten 28 16 5 7 53
3 Admira Wacker 28 12 12 4 48
4 Floridsdorfer AC 28 14 6 8 48
5 FC Liefering 28 13 8 7 47
6 SKU Amstetten 28 11 11 6 44
7 First Vienna 28 11 7 10 40
8 Austria Vienna (Am) 28 11 6 11 39
9 Austria Salzburg 28 9 10 9 37
10 WSPG Wels 28 9 6 13 33
11 Rapid Wien II 28 9 5 14 32
12 Austria Klagenfurt 28 9 6 13 30
13 SV Kapfenberg 28 8 4 16 28
14 Sturm Graz II 28 5 6 17 21
15 Schwarz-Weiß Bregenz 28 3 10 15 16
# TEAM MP GS GC +/- PTS
1 Admira Wacker 28 50 29 +21 48
2 FC Liefering 28 47 41 +6 47
3 SKN ST. Polten 28 44 26 +18 53
4 Floridsdorfer AC 28 42 18 +24 48
5 SKU Amstetten 28 41 34 +7 44
6 Austria Lustenau 28 40 26 +14 54
7 Austria Salzburg 28 36 37 -1 37
8 WSPG Wels 28 36 37 -1 33
9 Schwarz-Weiß Bregenz 28 36 57 -21 16
10 Austria Vienna (Am) 28 33 40 -7 39
11 Austria Klagenfurt 28 33 44 -11 30
12 Rapid Wien II 28 33 45 -12 32
13 SV Kapfenberg 28 31 53 -22 28
14 First Vienna 28 30 25 +5 40
15 Sturm Graz II 28 25 45 -20 21
# TEAM MP xG xGC +/- PTS
1 Austria Lustenau 28 1.4 0.6 +0.8 54
2 FC Liefering 28 0.6 1.4 -0.8 47
3 SKN ST. Polten 28 — — — 53
4 Admira Wacker 28 — — — 48
5 Floridsdorfer AC 28 — — — 48
6 SKU Amstetten 28 — — — 44
7 First Vienna 28 — — — 40
8 Austria Vienna (Am) 28 — — — 39
9 Austria Salzburg 28 — — — 37
10 WSPG Wels 28 — — — 33
11 Rapid Wien II 28 — — — 32
12 Austria Klagenfurt 28 — — — 30
13 SV Kapfenberg 28 — — — 28
14 Sturm Graz II 28 — — — 21
15 Schwarz-Weiß Bregenz 28 — — — 16
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