Eichstätt vs Buchbach Statistics & Analysis

May 16, 2026 - 12:00
0 1.45
1 1.25
xG Accuracy: 63%
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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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Eichstätt Buchbach ✖ Incorrect
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Regionalliga - Bayern
  • Fixture: Eichstätt vs Buchbach
  • Kickoff: 2026-05-16 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Eichstätt 1.45 — Buchbach 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 39.0% · Implied: 35.0% · Probability edge: +4.0 pts · Est. EV: +5.3%
  • BTTS (model): Yes 64.5% · No 35.5%
  • Correct score (top bin): 1-1 (10.4%)

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

The engine’s headline primary is: 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).

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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.

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.

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.

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.

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 18, 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 - Bayern Regionalliga - BayernStandings
# TEAM MP W D L PTS
1 Nürnberg II 33 24 4 5 76
2 Würzburger Kickers 33 21 9 3 72
3 SpVgg Unterhaching 33 21 4 8 67
4 Illertissen 33 18 7 8 61
5 Eichstätt 33 12 12 9 48
6 Vilzing 33 14 6 13 48
7 Wacker Burghausen 33 13 8 12 47
8 Aubstadt 33 12 10 11 46
9 Ansbach 33 13 7 13 46
10 Bayern München II 33 13 6 14 44
11 Buchbach 33 12 7 14 43
12 Memmingen 33 9 12 12 39
13 Bayreuth 33 9 11 13 38
14 Augsburg II 33 9 7 17 34
15 Schwaben Augsburg 33 9 7 17 34
16 Greuther Fürth II 33 6 10 17 28
17 Viktoria Aschaffenburg 33 6 8 19 26
18 Hankofen-Hailing 33 5 7 21 22
# TEAM MP GS GC +/- PTS
1 Würzburger Kickers 33 70 24 +46 72
2 Illertissen 33 70 45 +25 61
3 SpVgg Unterhaching 33 68 30 +38 67
4 Nürnberg II 33 66 33 +33 76
5 Bayern München II 33 56 52 +4 44
6 Ansbach 33 53 61 -8 46
7 Buchbach 33 53 69 -16 43
8 Eichstätt 33 48 36 +12 48
9 Wacker Burghausen 33 46 46 0 47
10 Aubstadt 33 45 45 0 46
11 Greuther Fürth II 33 45 55 -10 28
12 Vilzing 33 44 42 +2 48
13 Memmingen 33 42 47 -5 39
14 Schwaben Augsburg 33 38 58 -20 34
15 Augsburg II 33 37 47 -10 34
16 Bayreuth 33 36 49 -13 38
17 Viktoria Aschaffenburg 33 31 66 -35 26
18 Hankofen-Hailing 33 29 72 -43 22