Predictions / Football / Austria. Regionalliga - Ost / Wiener Viktoria vs Mannsdorf-Großenzersdorf

Wiener Viktoria vs Mannsdorf-Großenzersdorf Prediction, Odds & AI Betting Tips

May 16, 2026 - 15:00
0 1.45
3 1.25
xG Accuracy: 42%

Forecast Assessment

Reliable forecast

Favourite
Wiener Viktoria Balanced match
Model probability
41.8%
Market agreement
Validation
Pending

Summary:

The model and market both lean Wiener Viktoria, but neither indicates a dominant favourite. Draw and Mannsdorf-Großenzersdorf remain plausible — this is a relatively open match.

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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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Wiener Viktoria Draw ✖ Incorrect
  • Correct Score Insights 0-1, 1-1, 0-0, 1-0, 0-2 0-0 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - Ost
  • Fixture: Wiener Viktoria vs Mannsdorf-Großenzersdorf
  • Kickoff: 2026-05-16 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Wiener Viktoria 1.45 — Mannsdorf-Großenzersdorf 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 73.2% · Implied: 36.0% · Probability edge: +37.2 pts · Est. EV: +89.6%
  • BTTS (model): Yes 26.8% · No 73.2%
  • Correct score (top bin): 0-1 (14.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

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

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.

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.

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.

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 11, 2026 (UTC)

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Regionalliga - Ost Regionalliga - OstStandings
# TEAM MP W D L PTS
1 Parndorf 32 18 8 6 62
2 Gloggnitz 32 18 8 6 62
3 Krems / Rehberg 32 17 7 8 58
4 Leobendorf 32 18 3 11 57
5 Oberwart 32 17 5 10 56
6 SV Horn 32 14 9 9 51
7 Traiskirchen 32 14 8 10 50
8 Mannsdorf-Großenzersdorf 32 13 10 9 49
9 Fach-Donaufeld 32 13 8 11 47
10 Wiener SC 32 13 7 12 46
11 Wiener Viktoria 32 13 6 13 45
12 Donau 32 12 8 12 44
13 Favoritner AC 32 12 3 17 39
14 Union Mauer 32 10 7 15 37
15 Neusiedl 32 8 5 19 29
16 Retz 32 4 8 20 20
17 TWL Elektra 32 2 2 28 8
# TEAM MP GS GC +/- PTS
1 Oberwart 32 73 42 +31 56
2 Traiskirchen 32 70 52 +18 50
3 Krems / Rehberg 32 61 33 +28 58
4 Parndorf 32 58 34 +24 62
5 Gloggnitz 32 58 45 +13 62
6 SV Horn 32 57 35 +22 51
7 Mannsdorf-Großenzersdorf 32 55 37 +18 49
8 Wiener SC 32 54 52 +2 46
9 Fach-Donaufeld 32 51 44 +7 47
10 Wiener Viktoria 32 50 51 -1 45
11 Donau 32 50 57 -7 44
12 Leobendorf 32 48 34 +14 57
13 Neusiedl 32 46 72 -26 29
14 Favoritner AC 32 44 52 -8 39
15 Union Mauer 32 32 47 -15 37
16 Retz 32 25 64 -39 20
17 TWL Elektra 32 21 102 -81 8