Predictions / Football / Germany. 2. Bundesliga / VfL Wolfsburg vs Energie Cottbus

Prediction Audit: VfL Wolfsburg vs Energie Cottbus Prediction, Odds & AI Betting Tips

VfL Wolfsburg VfL Wolfsburg
Sep 05, 2026 - 11:00
4 2.23
4 1.51
xG Accuracy: 31%
Energie Cottbus Energie Cottbus

The model missed the final outcome (Draw 4–4).

The model had projected VfL Wolfsburg at 52.9%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (8 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 VfL Wolfsburg Draw ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-2, 3-1, 1-2 4-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices VfL Wolfsburg higher than the statistical model.

Largest probability gap: VfL Wolfsburg -18.5 pp

Outcome Model Closing Market Difference Signal
VfL Wolfsburg 52.9% 71.4% -18.5 pp Market Higher
Draw 22.3% 17.8% +4.5 pp Aligned
Energie Cottbus 24.8% 10.8% +14.0 pp Model Edge

The closing market estimates VfL Wolfsburg's win probability at 71.4%, compared with the model's estimate of 52.9%, a difference of 18.5 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 4–4.

Market Assessment

The market is materially more optimistic about VfL Wolfsburg than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.74) — 8 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned VfL Wolfsburg; match finished Draw
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on VfL Wolfsburg by 18.5 percentage points (71.4% vs model 52.9%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 05, 2026 · 11:01 UTC Forecast generated
    • Model 1X2 · VfL Wolfsburg 52.9% · Draw 22.3% · Energie Cottbus 24.8%
    • xG · VfL Wolfsburg 2.23 — Energie Cottbus 1.51
  2. Sep 05, 2026 · 10:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · VfL Wolfsburg 1.35 · Draw 5.41 · Energie Cottbus 8.96
    • Implied 1X2 · VfL Wolfsburg 71.4% · Draw 17.8% · Energie Cottbus 10.8%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · VfL Wolfsburg 1.35 · Draw 5.41 · Energie Cottbus 8.96
    • Implied 1X2 · VfL Wolfsburg 71.4% · Draw 17.8% · Energie Cottbus 10.8%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 4–4
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 48/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
  • High xG deviation from league baseline (65%+)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 7/100
Betting Confidence 38/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:24 UTC Snapshot ID: dp-6128507

Closing Odds 1.35
AI Fair Odds —
CLV Pending
Final Result Draw · VfL Wolfsburg 4–4 Energie Cottbus
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

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

Pre-match snapshot for this fixture.

  • League: 2. Bundesliga
  • Fixture: VfL Wolfsburg vs Energie Cottbus
  • Kickoff: 2026-09-05 11:00:00
  • 1X2 (model): Home 52.9% · Draw 22.3% · Away 24.8%
  • xG (showing): VfL Wolfsburg 2.23 — Energie Cottbus 1.51 (total xG ≈ 3.74)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 27.9% · Over 2.5 72.1%); BTTS Yes (Yes 70.6% · No 29.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 70.6% · No 29.4%
  • Correct score (top bin): 2-1 (8.9%)

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.

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

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

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

September 29, 2026 (UTC)

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2. Bundesliga 2. Bundesliga — Standings
# TEAM MP W D L PTS
1 Hertha BSC 6 6 0 0 18
2 1. FC Nürnberg 6 5 1 0 16
3 1. FC Heidenheim 6 4 1 1 13
4 VfL Wolfsburg 6 3 2 1 11
5 1. FC Kaiserslautern 6 3 2 1 11
6 1. FC Magdeburg 6 3 1 2 10
7 Energie Cottbus 6 2 2 2 8
8 FC St. Pauli 6 1 4 1 7
9 VfL Bochum 6 2 1 3 7
10 Hannover 96 6 2 1 3 7
11 VfL Osnabrück 6 2 1 3 7
12 SpVgg Greuther Fürth 6 1 3 2 6
13 Arminia Bielefeld 6 1 2 3 5
14 Karlsruher SC 6 1 2 3 5
15 Eintracht Braunschweig 6 1 1 4 4
16 Holstein Kiel 6 0 4 2 4
17 Dynamo Dresden 6 1 1 4 4
18 SV Darmstadt 98 6 1 1 4 4
# TEAM MP GS GC +/- PTS
1 Hertha BSC 6 17 7 +10 18
2 1. FC Nürnberg 6 16 6 +10 16
3 VfL Wolfsburg 6 15 8 +7 11
4 1. FC Heidenheim 6 14 12 +2 13
5 Energie Cottbus 6 14 13 +1 8
6 Eintracht Braunschweig 6 12 13 -1 4
7 1. FC Magdeburg 6 11 9 +2 10
8 Arminia Bielefeld 6 10 12 -2 5
9 SpVgg Greuther Fürth 6 9 11 -2 6
10 VfL Osnabrück 6 9 12 -3 7
11 FC St. Pauli 6 8 8 0 7
12 Dynamo Dresden 6 8 14 -6 4
13 Hannover 96 6 7 9 -2 7
14 Holstein Kiel 6 7 10 -3 4
15 1. FC Kaiserslautern 6 6 4 +2 11
16 Karlsruher SC 6 6 12 -6 5
17 VfL Bochum 6 5 6 -1 7
18 SV Darmstadt 98 6 5 13 -8 4
# TEAM MP xG xGC +/- PTS
1 Arminia Bielefeld 6 5.9 2.9 +3.0 5
2 Hannover 96 6 6.3 4.0 +2.3 7
3 VfL Wolfsburg 6 6.0 3.7 +2.3 11
4 Hertha BSC 6 7.5 5.6 +1.9 18
5 1. FC Heidenheim 6 7.7 6.0 +1.7 13
6 Holstein Kiel 6 5.6 4.1 +1.5 4
7 FC St. Pauli 6 5.7 4.3 +1.4 7
8 VfL Bochum 6 3.8 2.6 +1.2 7
9 Eintracht Braunschweig 6 9.4 8.5 +0.9 4
10 SpVgg Greuther Fürth 6 6.9 7.0 -0.1 6
11 1. FC Kaiserslautern 6 2.6 3.2 -0.6 11
12 1. FC Nürnberg 6 4.2 5.2 -1.0 16
13 Karlsruher SC 6 3.8 5.3 -1.5 5
14 VfL Osnabrück 6 5.7 7.7 -2.0 7
15 SV Darmstadt 98 6 2.0 4.3 -2.3 4
16 Dynamo Dresden 6 3.4 5.8 -2.4 4
17 1. FC Magdeburg 6 4.7 7.7 -3.0 10
18 Energie Cottbus 6 5.0 8.3 -3.3 8