Predictions / Football / Germany. DFB Pokal / Energie Cottbus vs FC Augsburg

Prediction Audit: Energie Cottbus vs FC Augsburg Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 11:00
0 1.28
2 1.32
xG Accuracy: 58%

AI correctly predicted the FC Augsburg win.

The match finished 0–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 FC Augsburg FC Augsburg ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices FC Augsburg higher than the statistical model.

Largest probability gap: FC Augsburg -23.5 pp

Outcome Model Closing Market Difference Signal
Energie Cottbus 34.2% 19.8% +14.4 pp Model Edge
Draw 29.6% 20.6% +9.1 pp Model Higher
FC Augsburg 36.1% 59.6% -23.5 pp Market Higher

The closing market estimates FC Augsburg's win probability at 59.6%, compared with the model's estimate of 36.1%, a difference of 23.5 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 model's directional lean matched the result (FC Augsburg win 0–2).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FC Augsburg higher (59.6% vs model 36.1%, 23.5 pp), but the model's lean was validated (FC Augsburg win 0–2).

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Prediction Timeline

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

  1. Aug 22, 2026 · 11:01 UTC Forecast generated
    • Model 1X2 · Energie Cottbus 34.2% · Draw 29.7% · FC Augsburg 36.1%
    • xG · Energie Cottbus 1.28 — FC Augsburg 1.32
  2. Aug 22, 2026 · 10:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Energie Cottbus 4.79 · Draw 4.60 · FC Augsburg 1.59
    • Implied 1X2 · Energie Cottbus 19.8% · Draw 20.6% · FC Augsburg 59.6%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 11:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Energie Cottbus 4.79 · Draw 4.60 · FC Augsburg 1.59
    • Implied 1X2 · Energie Cottbus 19.8% · Draw 20.6% · FC Augsburg 59.6%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result FC Augsburg win · 0–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:15 UTC Snapshot ID: dp-4214914

Closing Odds 1.59
AI Fair Odds —
CLV Pending
Final Result FC Augsburg win · Energie Cottbus 0–2 FC Augsburg
Prediction ✔ Correct
Decision Grade B-

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: DFB Pokal
  • Fixture: Energie Cottbus vs FC Augsburg
  • Kickoff: 2026-08-22 11:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Energie Cottbus 1.28 — FC Augsburg 1.32 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Wait

Outcome: Validated — Pre-match lean validated against 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

October 01, 2026 (UTC)

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