Predictions / Football / Germany. 2. Bundesliga / VfL Osnabrück vs Hertha BSC

Prediction Audit: VfL Osnabrück vs Hertha BSC Prediction, Odds & AI Betting Tips

VfL Osnabrück VfL Osnabrück
Sep 13, 2026 - 11:30
1 1.63
3 1.60
xG Accuracy: 57%
Hertha BSC Hertha BSC

The model missed the final outcome (Hertha BSC win 1–3).

The model had projected VfL Osnabrück at 37.6%, 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 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 VfL Osnabrück Hertha BSC ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 1-3 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Hertha BSC higher than the statistical model.

Largest probability gap: Hertha BSC -8.0 pp

Outcome Model Closing Market Difference Signal
VfL Osnabrück 37.6% 30.6% +7.0 pp Model Higher
Draw 26.0% 25.0% +1.0 pp Aligned
Hertha BSC 36.4% 44.4% -8.0 pp Market Higher

The closing market estimates Hertha BSC's win probability at 44.4%, compared with the model's estimate of 36.4%, a difference of 8.0 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 Hertha BSC win 1–3.

Market Assessment

The market and model broadly agree on Hertha BSC. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.23) — 4 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 Osnabrück; match finished Hertha BSC
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on VfL Osnabrück by 8.0 percentage points (45.6% vs model 37.6%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 13, 2026 · 11:30 UTC Forecast generated
    • Model 1X2 · VfL Osnabrück 37.6% · Draw 26.0% · Hertha BSC 36.4%
    • xG · VfL Osnabrück 1.63 — Hertha BSC 1.60
  2. Sep 13, 2026 · 11:04 UTC Opening odds snapshot PRE30
    • 1X2 odds · VfL Osnabrück 3.24 · Draw 3.96 · Hertha BSC 2.11
    • Implied 1X2 · VfL Osnabrück 29.8% · Draw 24.4% · Hertha BSC 45.8%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 11:30 UTC Closing snapshot recorded PRE1
    • 1X2 odds · VfL Osnabrück 3.16 · Draw 3.87 · Hertha BSC 2.18
    • Implied 1X2 · VfL Osnabrück 30.6% · Draw 25.0% · Hertha BSC 44.4%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Hertha BSC win · 1–3
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 20/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:10 UTC Snapshot ID: dp-7427524

Closing Odds 2.18
AI Fair Odds —
CLV Pending
Final Result Hertha BSC win · VfL Osnabrück 1–3 Hertha BSC
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

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

  • League: 2. Bundesliga
  • Fixture: VfL Osnabrück vs Hertha BSC
  • Kickoff: 2026-09-13 11:30:00
  • 1X2 (model): Home 37.6% · Draw 26.0% · Away 36.4%
  • xG (showing): VfL Osnabrück 1.63 — Hertha BSC 1.6 (total xG ≈ 3.23)
  • 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 37.4% · Over 2.5 62.6%); BTTS Yes (Yes 65.5% · No 34.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 65.5% · No 34.5%
  • Correct score (top bin): 1-1 (10.3%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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)

Related Predictions

See Upcoming 2. Bundesliga Matches Track VfL Osnabrück Next Match Prediction Track Hertha BSC Next Match Prediction View Today's Football Predictions

Get Premium Predictions for VfL Osnabrück & Hertha BSC!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions
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