Statistics / Football / Austria. Regionalliga - Ost / Oberwart vs Krems / Rehberg

Oberwart vs Krems / Rehberg Statistics & Analysis

Oberwart Oberwart
Jun 05, 2026 - 17:30
5 0.98
2 1.00
xG Accuracy: 25%
Krems / Rehberg Krems / Rehberg
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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 draw Oberwart ✖ Incorrect
  • Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 5-2 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - Ost
  • Fixture: Oberwart vs Krems / Rehberg
  • Kickoff: 2026-06-05 17:30:00
  • 1X2 (model): Home 32.2% · Draw 34.6% · Away 33.2%
  • xG (showing): Oberwart 0.98 — Krems / Rehberg 1.0 (total xG ≈ 1.98)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 68.2% · Implied: 39.8% · Probability edge: +28.4 pts · Est. EV: +63.7%
  • BTTS (model): Yes 41.2% · No 58.8%
  • Correct score (top bin): 0-0 (13.8%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

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

Edges shrink quickly if prices move; always re-check the number on your book.

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.

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.

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 08, 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 - Ost Regionalliga - Ost — Standings
# TEAM MP W D L PTS
1 Parndorf 32 18 8 6 62
2 Gloggnitz 31 18 8 5 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 Viktoria 32 13 6 13 45
11 Donau 32 12 8 12 44
12 Wiener SC 31 12 7 12 43
13 Favoritner AC 31 12 3 16 39
14 Union Mauer 32 10 7 15 37
15 Neusiedl 32 8 5 19 29
16 Retz 31 3 8 20 17
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 SV Horn 32 57 35 +22 51
6 Gloggnitz 31 57 39 +18 62
7 Mannsdorf-Großenzersdorf 32 55 37 +18 49
8 Fach-Donaufeld 32 51 44 +7 47
9 Wiener Viktoria 32 50 51 -1 45
10 Donau 32 50 57 -7 44
11 Leobendorf 32 48 34 +14 57
12 Wiener SC 31 48 51 -3 43
13 Neusiedl 32 46 72 -26 29
14 Favoritner AC 31 43 50 -7 39
15 Union Mauer 32 32 47 -15 37
16 Retz 31 23 63 -40 17
17 TWL Elektra 32 21 102 -81 8
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