Predictions / Football / Germany. Bundesliga / Hamburger SV vs SC Freiburg

Prediction Audit: Hamburger SV vs SC Freiburg Prediction, Odds & AI Betting Tips

Hamburger SV Hamburger SV
May 10, 2026 - 13:30
3 1.38
2 1.66
xG Accuracy: 58%
SC Freiburg SC Freiburg

The model missed the final outcome (Hamburger SV win 3–2).

The model had projected SC Freiburg at 42.8%, 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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 SC Freiburg Hamburger SV ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 0-1, 2-1, 1-0 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Hamburger SV higher than the statistical model.

Largest probability gap: Hamburger SV -5.2 pp

Outcome Model Closing Market Difference Signal
Hamburger SV 30.5% 35.7% -5.2 pp Market Higher
Draw 26.7% 25.6% +1.1 pp Aligned
SC Freiburg 42.8% 38.7% +4.0 pp Aligned

The closing market estimates Hamburger SV's win probability at 35.7%, compared with the model's estimate of 30.5%, a difference of 5.2 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 result was Hamburger SV win 3–2.

Market Assessment

The market and model broadly agree on Hamburger SV. 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 3.04) — 5 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 SC Freiburg; match finished Hamburger SV
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on SC Freiburg by 5.2 percentage points (48.0% vs model 42.8%) — 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. May 09, 2026 · 13:29 UTC Forecast generated
    • Model 1X2 · Hamburger SV 30.6% · Draw 26.7% · SC Freiburg 42.7%
    • xG · Hamburger SV 1.38 — SC Freiburg 1.66
  2. May 09, 2026 · 13:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hamburger SV 2.71 · Draw 3.78 · SC Freiburg 2.50
    • Implied 1X2 · Hamburger SV 35.7% · Draw 25.6% · SC Freiburg 38.7%
    • Bookmaker · Pinnacle
  3. May 09, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hamburger SV 2.71 · Draw 3.78 · SC Freiburg 2.50
    • Implied 1X2 · Hamburger SV 35.7% · Draw 25.6% · SC Freiburg 38.7%
    • Bookmaker · Pinnacle
  4. May 10, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result Hamburger SV win · 3–2
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 74/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 12:44 UTC Snapshot ID: dp-2010332

Closing Odds 2.71
AI Fair Odds —
CLV Pending
Final Result Hamburger SV win · Hamburger SV 3–2 SC Freiburg
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: Bundesliga
  • Fixture: Hamburger SV vs SC Freiburg
  • Kickoff: 2026-05-09 13:30:00
  • 1X2 (model): Home 30.6% · Draw 26.7% · Away 42.7%
  • xG (showing): Hamburger SV 1.38 — SC Freiburg 1.66 (total xG ≈ 3.04)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 58.6% · Implied: 55.9% · Probability edge: +2.7 pts · Est. EV: +3.1%
  • BTTS (model): Yes 62.0% · No 38.0%
  • Correct score (top bin): 1-1 (11.0%)

Totals and BTTS are evaluated against current market prices where available.

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

Historical Recommendation

Historical Decision: No Primary Bet

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

October 03, 2026 (UTC)

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Bundesliga Bundesliga — Standings
# TEAM MP W D L PTS
1 Bayern München 34 28 5 1 89
2 Borussia Dortmund 34 22 7 5 73
3 RB Leipzig 34 20 5 9 65
4 VfB Stuttgart 34 18 8 8 62
5 1899 Hoffenheim 34 18 7 9 61
6 Bayer Leverkusen 34 17 8 9 59
7 SC Freiburg 34 13 8 13 47
8 Eintracht Frankfurt 34 11 11 12 44
9 FC Augsburg 34 12 7 15 43
10 FSV Mainz 05 34 10 10 14 40
11 Union Berlin 34 10 9 15 39
12 Borussia Mönchengladbach 34 9 11 14 38
13 Hamburger SV 34 9 11 14 38
14 1.FC Köln 34 7 11 16 32
15 Werder Bremen 34 8 8 18 32
16 VfL Wolfsburg 34 7 8 19 29
17 1. FC Heidenheim 34 6 8 20 26
18 FC St. Pauli 34 6 8 20 26
# TEAM MP GS GC +/- PTS
1 Bayern München 34 122 36 +86 89
2 VfB Stuttgart 34 71 49 +22 62
3 Borussia Dortmund 34 70 34 +36 73
4 Bayer Leverkusen 34 68 47 +21 59
5 RB Leipzig 34 66 47 +19 65
6 1899 Hoffenheim 34 65 52 +13 61
7 Eintracht Frankfurt 34 61 65 -4 44
8 SC Freiburg 34 51 57 -6 47
9 1.FC Köln 34 49 63 -14 32
10 FC Augsburg 34 45 61 -16 43
11 VfL Wolfsburg 34 45 69 -24 29
12 FSV Mainz 05 34 44 53 -9 40
13 Union Berlin 34 44 58 -14 39
14 Borussia Mönchengladbach 34 42 53 -11 38
15 1. FC Heidenheim 34 41 72 -31 26
16 Hamburger SV 34 40 54 -14 38
17 Werder Bremen 34 37 60 -23 32
18 FC St. Pauli 34 29 60 -31 26
# TEAM MP xG xGC +/- PTS
1 Bayern München 34 97.2 37.9 +59.3 89
2 Borussia Dortmund 34 63.4 38.9 +24.5 73
3 Bayer Leverkusen 34 64.0 44.8 +19.2 59
4 RB Leipzig 34 66.3 50.2 +16.1 65
5 VfB Stuttgart 34 60.1 49.8 +10.3 62
6 1899 Hoffenheim 34 55.1 51.4 +3.7 61
7 SC Freiburg 34 48.6 47.8 +0.8 47
8 FSV Mainz 05 34 52.9 54.6 -1.7 40
9 1.FC Köln 34 50.9 54.9 -4.0 32
10 Eintracht Frankfurt 34 45.4 50.1 -4.7 44
11 Union Berlin 34 44.9 52.2 -7.3 39
12 Borussia Mönchengladbach 34 42.7 52.5 -9.8 38
13 Werder Bremen 34 40.4 54.3 -13.9 32
14 VfL Wolfsburg 34 47.1 61.8 -14.7 29
15 1. FC Heidenheim 34 47.5 63.4 -15.9 26
16 FC Augsburg 34 45.2 62.6 -17.4 43
17 Hamburger SV 34 38.3 56.9 -18.6 38
18 FC St. Pauli 34 30.5 56.2 -25.7 26
Bundesliga Germany. Bundesliga Predictions