Statistics / Football / Austria. 2. Liga / Sturm Graz II vs Rapid Wien II

Sturm Graz II vs Rapid Wien II Statistics & Analysis

May 14, 2026 - 15:00
1 0.63
2 1.41
xG Accuracy: 77%
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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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Rapid Wien II Rapid Wien II ✔ Correct
  • Correct Score Insights 1-1 1-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 2. Liga
  • Fixture: Sturm Graz II vs Rapid Wien II
  • Kickoff: 2026-05-14 16:00:00
  • 1X2 (model): Home 16.6% · Draw 27.4% · Away 56.0%
  • xG (showing): Sturm Graz II 0.63 — Rapid Wien II 1.41 (total xG ≈ 2.04)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 56.6% · Implied: 43.2% · Probability edge: +13.4 pts · Est. EV: +25.1%
  • BTTS (model): Yes 43.4% · No 56.6%
  • Correct score (top bin): 1-1 (11.9%)

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

Primary pick from the decision engine: BTTS No.

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 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.

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.

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.

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. LigaStandings
# 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