Predictions / Football / Germany. 2. Bundesliga / Hertha BSC vs SpVgg Greuther Fürth

Prediction Audit: Hertha BSC vs SpVgg Greuther Fürth Prediction, Odds & AI Betting Tips

Hertha BSC Hertha BSC
May 10, 2026 - 11:30
2 1.93
1 1.08
xG Accuracy: 96%
SpVgg Greuther Fürth SpVgg Greuther Fürth

AI correctly predicted the Hertha BSC win.

The match finished 2–1, validating the model's directional assessment.

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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Hertha BSC Hertha BSC ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 3-1 2-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices SpVgg Greuther Fürth higher than the statistical model.

Largest probability gap: SpVgg Greuther Fürth -7.2 pp

Outcome Model Closing Market Difference Signal
Hertha BSC 55.8% 51.4% +4.4 pp Aligned
Draw 24.6% 21.9% +2.8 pp Aligned
SpVgg Greuther Fürth 19.5% 26.7% -7.2 pp Market Higher

The closing market estimates SpVgg Greuther Fürth's win probability at 26.7%, compared with the model's estimate of 19.5%, a difference of 7.2 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 (Hertha BSC win 2–1).

Market Assessment

The market and model broadly agree on SpVgg Greuther Fürth. 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 3.01) — 3 goals materialised
  • Hertha BSC attacking xG significantly stronger (1.93 vs 1.08)
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Hertha BSC higher (63.0% vs model 55.8%, 7.2 pp), but the model's lean was validated (Hertha BSC win 2–1).

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. May 08, 2026 · 11:29 UTC Forecast generated
    • Model 1X2 · Hertha BSC 55.9% · Draw 24.6% · SpVgg Greuther Fürth 19.5%
    • xG · Hertha BSC 1.93 — SpVgg Greuther Fürth 1.08
  2. May 08, 2026 · 10:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hertha BSC 1.85 · Draw 4.35 · SpVgg Greuther Fürth 3.56
    • Implied 1X2 · Hertha BSC 51.4% · Draw 21.9% · SpVgg Greuther Fürth 26.7%
    • Bookmaker · Pinnacle
  3. May 08, 2026 · 11:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hertha BSC 1.85 · Draw 4.35 · SpVgg Greuther Fürth 3.56
    • Implied 1X2 · Hertha BSC 51.4% · Draw 21.9% · SpVgg Greuther Fürth 26.7%
    • Bookmaker · Pinnacle
  4. May 10, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Hertha BSC win · 2–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Moderate model lean
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 64/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 29, 2026 · 07:35 UTC Snapshot ID: dp-2329403

Closing Odds 3.56
AI Fair Odds —
CLV Pending
Final Result Hertha BSC win · Hertha BSC 2–1 SpVgg Greuther Fürth
Prediction ✔ Correct
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: Hertha BSC vs SpVgg Greuther Fürth
  • Kickoff: 2026-05-08 11:30:00
  • 1X2 (model): Home 55.9% · Draw 24.6% · Away 19.5%
  • xG (showing): Hertha BSC 1.93 — SpVgg Greuther Fürth 1.08 (total xG ≈ 3.01)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 42.1% · Implied: 34.4% · Probability edge: +7.7 pts · Est. EV: +21.2%
  • BTTS (model): Yes 57.8% · No 42.2%
  • Correct score (top bin): 1-1 (10.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

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 02, 2026 (UTC)

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2. Bundesliga 2. Bundesliga — Standings
# TEAM MP W D L PTS
1 FC Schalke 04 34 21 7 6 70
2 SV Elversberg 34 18 8 8 62
3 SC Paderborn 07 34 18 8 8 62
4 Hannover 96 34 16 12 6 60
5 SV Darmstadt 98 34 13 13 8 52
6 1. FC Kaiserslautern 34 16 4 14 52
7 Hertha BSC 34 14 9 11 51
8 1. FC Nürnberg 34 12 10 12 46
9 VfL Bochum 34 11 11 12 44
10 Karlsruher SC 34 12 8 14 44
11 Dynamo Dresden 34 11 8 15 41
12 Holstein Kiel 34 11 8 15 41
13 Arminia Bielefeld 34 10 9 15 39
14 1. FC Magdeburg 34 12 3 19 39
15 Eintracht Braunschweig 34 10 7 17 37
16 SpVgg Greuther Fürth 34 10 7 17 37
17 Fortuna Düsseldorf 34 11 4 19 37
18 Preußen Münster 34 6 12 16 30
# TEAM MP GS GC +/- PTS
1 SV Elversberg 34 64 39 +25 62
2 Hannover 96 34 60 44 +16 60
3 SC Paderborn 07 34 59 45 +14 62
4 SV Darmstadt 98 34 57 45 +12 52
5 Dynamo Dresden 34 54 53 +1 41
6 Arminia Bielefeld 34 53 51 +2 39
7 Karlsruher SC 34 53 64 -11 44
8 1. FC Kaiserslautern 34 52 47 +5 52
9 1. FC Magdeburg 34 52 58 -6 39
10 FC Schalke 04 34 50 31 +19 70
11 VfL Bochum 34 49 47 +2 44
12 SpVgg Greuther Fürth 34 49 68 -19 37
13 Hertha BSC 34 47 44 +3 51
14 1. FC Nürnberg 34 47 45 +2 46
15 Holstein Kiel 34 44 48 -4 41
16 Preußen Münster 34 38 61 -23 30
17 Eintracht Braunschweig 34 36 54 -18 37
18 Fortuna Düsseldorf 34 33 53 -20 37
# TEAM MP xG xGC +/- PTS
1 FC Schalke 04 34 51.0 30.4 +20.6 70
2 SC Paderborn 07 34 58.1 38.1 +20.0 62
3 Hannover 96 34 55.4 38.5 +16.9 60
4 SV Elversberg 34 54.6 37.8 +16.8 62
5 1. FC Magdeburg 34 52.6 45.9 +6.7 39
6 Arminia Bielefeld 34 50.3 46.2 +4.1 39
7 VfL Bochum 34 51.9 48.6 +3.3 44
8 1. FC Nürnberg 34 46.2 44.2 +2.0 46
9 SV Darmstadt 98 34 52.1 51.8 +0.3 52
10 1. FC Kaiserslautern 34 46.7 47.1 -0.4 52
11 Dynamo Dresden 34 43.2 43.9 -0.7 41
12 Hertha BSC 34 44.7 51.4 -6.7 51
13 Fortuna Düsseldorf 34 40.3 49.4 -9.1 37
14 Eintracht Braunschweig 34 36.7 48.1 -11.4 37
15 SpVgg Greuther Fürth 34 39.4 51.4 -12.0 37
16 Holstein Kiel 34 41.0 53.1 -12.1 41
17 Preußen Münster 34 36.7 55.9 -19.2 30
18 Karlsruher SC 34 42.5 61.9 -19.4 44