Oberachern vs VfR Aalen Statistics & Analysis

May 23, 2026 - 13:30
3 1.45
2 1.25
xG Accuracy: 53%
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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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Oberachern Draw ✖ Incorrect
  • Correct Score Insights 1-2, 0-2, 1-1, 0-1, 1-3 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Oberliga - Baden-Württemberg
  • Fixture: Oberachern vs VfR Aalen
  • Kickoff: 2026-05-23 13:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Oberachern 1.45 — VfR Aalen 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 38.0% · Over 2.5 62.0%); BTTS Yes (Yes 73.6% · No 26.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 73.6% · No 26.4%
  • Correct score (top bin): 1-2 (9.9%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

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 07, 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
Oberliga - Baden-Württemberg Oberliga - Baden-WürttembergStandings
# TEAM MP W D L PTS
1 VfR Aalen 34 26 5 3 83
2 VfR Mannheim 34 20 9 5 69
3 FC Nöttingen 34 18 4 12 58
4 FV Ravensburg 34 16 9 9 57
5 Essingen 34 14 12 8 54
6 Oberachern 34 16 6 12 54
7 CFR Pforzheim 34 12 12 10 48
8 Reutlingen 34 12 11 11 47
9 FC 08 Villingen 34 12 11 11 47
10 Karlsruhe II 34 11 10 13 43
11 Backnang 34 12 7 16 42
12 TSV Singen 34 12 4 18 40
13 Normannia Gmünd 34 9 12 13 39
14 Türkspor Neckarsulm 34 11 6 17 39
15 Göppinger SV 34 9 9 16 36
16 Hollenbach 34 9 8 17 35
17 Bissingen 34 7 12 15 33
18 Denzlingen 34 5 4 25 19
# TEAM MP GS GC +/- PTS
1 VfR Aalen 34 87 24 +63 83
2 FC Nöttingen 34 82 61 +21 58
3 VfR Mannheim 34 81 34 +47 69
4 CFR Pforzheim 34 68 61 +7 48
5 FV Ravensburg 34 61 52 +9 57
6 Reutlingen 34 56 50 +6 47
7 Hollenbach 34 56 69 -13 35
8 FC 08 Villingen 34 55 56 -1 47
9 TSV Singen 34 55 81 -26 40
10 Essingen 34 54 58 -4 54
11 Karlsruhe II 34 54 61 -7 43
12 Oberachern 34 54 62 -8 54
13 Bissingen 34 54 81 -27 33
14 Normannia Gmünd 34 53 51 +2 39
15 Göppinger SV 34 53 53 0 36
16 Türkspor Neckarsulm 34 52 61 -9 39
17 Backnang 34 50 67 -17 42
18 Denzlingen 34 35 78 -43 19