Predictions / Football / Germany. Oberliga - Nordost-Süd / Auerbach vs Eilenburg

Prediction Audit: Auerbach vs Eilenburg Prediction, Odds & AI Betting Tips

Auerbach Auerbach
Sep 25, 2026 - 17:00
3 1.43
2 1.17
xG Accuracy: 52%
Eilenburg Eilenburg

Tracked markets vs full-time result

Prediction grade Not available

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Auerbach Auerbach ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 3-2 ✖ Incorrect

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 25, 2026 · 17:00 UTC Kickoff
  2. FT Full-time result Auerbach win · 3–2

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: No prediction record
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Prediction Time: Sep 19, 2026 · 01:16 UTC Snapshot ID: dp-9569380

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Auerbach win · Auerbach 3–2 Eilenburg
Prediction No prediction record
Decision Grade Not assessed

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Oberliga - Nordost-Süd
  • Fixture: Auerbach vs Eilenburg
  • Kickoff: 2026-09-25 17:00:00
  • 1X2 (model): Home 41.4% · Draw 29.4% · Away 29.3%
  • xG (showing): Auerbach 1.43 — Eilenburg 1.17 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Cautious / Wait

Outcome: —

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

November 15, 2026 (UTC)

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Oberliga - Nordost-Süd Oberliga - Nordost-Süd — Standings
# TEAM MP W D L PTS
1 Auerbach 11 8 2 1 26
2 Germania Halberstadt 11 8 1 2 25
3 ZFC Meuselwitz 11 7 3 1 24
4 VfL Halle 11 8 0 3 24
5 Eilenburg 11 6 1 4 19
6 SC Freital 11 4 5 2 17
7 Plauen 11 4 4 3 16
8 Dresden II 11 3 6 2 15
9 Weissenfels 11 5 0 6 15
10 Krieschow 12 4 2 6 14
11 Union Sandersdorf 12 3 2 7 11
12 Einheit Wernigerode 11 2 5 4 11
13 Empor Glauchau 11 2 3 6 9
14 Budissa Bautzen 11 2 3 6 9
15 Einheit Rudolstadt 11 1 3 7 6
16 FC Frankfurt 11 2 0 9 6
# TEAM MP GS GC +/- PTS
1 Germania Halberstadt 11 30 12 +18 25
2 Eilenburg 11 30 17 +13 19
3 Auerbach 11 28 10 +18 26
4 VfL Halle 11 26 18 +8 24
5 Union Sandersdorf 12 25 26 -1 11
6 ZFC Meuselwitz 11 24 13 +11 24
7 Plauen 11 23 14 +9 16
8 SC Freital 11 22 18 +4 17
9 Dresden II 11 20 14 +6 15
10 Weissenfels 11 19 21 -2 15
11 Einheit Wernigerode 11 19 27 -8 11
12 Krieschow 12 17 27 -10 14
13 Budissa Bautzen 11 15 26 -11 9
14 FC Frankfurt 11 13 39 -26 6
15 Empor Glauchau 11 12 20 -8 9
16 Einheit Rudolstadt 11 10 31 -21 6
Oberliga - Nordost-Süd Germany. Oberliga - Nordost-Süd Predictions