Predictions / Football / Germany. 2. Bundesliga / VfL Osnabrück vs 1. FC Magdeburg

Prediction Audit: VfL Osnabrück vs 1. FC Magdeburg Prediction, Odds & AI Betting Tips

VfL Osnabrück VfL Osnabrück
Aug 15, 2026 - 11:00
0 1.90
3 1.20
xG Accuracy: 36%
1. FC Magdeburg 1. FC Magdeburg

The model missed the final outcome (1. FC Magdeburg win 0–3).

The model had projected VfL Osnabrück at 47.2%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 VfL Osnabrück 1. FC Magdeburg ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 3-1 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices 1. FC Magdeburg higher than the statistical model.

Largest probability gap: 1. FC Magdeburg -10.5 pp

Outcome Model Closing Market Difference Signal
VfL Osnabrück 47.2% 37.5% +9.7 pp Model Higher
Draw 25.7% 24.9% +0.8 pp Aligned
1. FC Magdeburg 27.2% 37.6% -10.5 pp Market Higher

The closing market estimates 1. FC Magdeburg's win probability at 37.6%, compared with the model's estimate of 27.2%, a difference of 10.5 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 1. FC Magdeburg win 0–3.

Market Assessment

The market is materially more optimistic about 1. FC Magdeburg 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 3.10) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned VfL Osnabrück; match finished 1. FC Magdeburg

Market lesson

The closing market differed from the model on VfL Osnabrück by 10.5 percentage points (57.7% vs model 47.2%) — 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. Aug 15, 2026 · 19:13 UTC Forecast generated
    • Model 1X2 · VfL Osnabrück 47.1% · Draw 25.7% · 1. FC Magdeburg 27.2%
    • xG · VfL Osnabrück 1.90 — 1. FC Magdeburg 1.20
  2. Aug 15, 2026 · 10:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · VfL Osnabrück 2.57 · Draw 3.87 · 1. FC Magdeburg 2.56
    • Implied 1X2 · VfL Osnabrück 37.5% · Draw 24.9% · 1. FC Magdeburg 37.6%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 11:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · VfL Osnabrück 2.57 · Draw 3.87 · 1. FC Magdeburg 2.56
    • Implied 1X2 · VfL Osnabrück 37.5% · Draw 24.9% · 1. FC Magdeburg 37.6%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result 1. FC Magdeburg win · 0–3
  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 58/100 · Moderate
  • Validation: Warning
  • Large market gap (10 pp)
Evidence ★★★★★
  • Moderate model lean
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 16/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 01:24 UTC Snapshot ID: dp-3341914

Closing Odds 2.56
AI Fair Odds —
CLV Pending
Final Result 1. FC Magdeburg win · VfL Osnabrück 0–3 1. FC Magdeburg
Prediction ✖ Missed
Decision Grade F

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 Osnabrück vs 1. FC Magdeburg
  • Kickoff: 2026-08-15 11:00:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): VfL Osnabrück 1.9 — 1. FC Magdeburg 1.2 (total xG ≈ 3.1)
  • 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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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 30, 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