Predictions / Football / Germany. Bundesliga / SC Freiburg vs Werder Bremen

Prediction Audit: SC Freiburg vs Werder Bremen Prediction, Odds & AI Betting Tips

Aug 30, 2026 - 13:30
4 1.34
1 1.03
xG Accuracy: 48%

AI correctly predicted the SC Freiburg win.

The match finished 4–1, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 SC Freiburg SC Freiburg ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 4-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices SC Freiburg higher than the statistical model.

Largest probability gap: SC Freiburg -6.2 pp

Outcome Model Closing Market Difference Signal
SC Freiburg 46.6% 52.8% -6.2 pp Market Higher
Draw 28.6% 25.8% +2.8 pp Aligned
Werder Bremen 24.8% 21.4% +3.4 pp Aligned

The closing market estimates SC Freiburg's win probability at 52.8%, compared with the model's estimate of 46.6%, a difference of 6.2 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 (SC Freiburg win 4–1).

Market Assessment

The market and model broadly agree on SC Freiburg. 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 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 (5 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced SC Freiburg higher (52.8% vs model 46.6%, 6.2 pp), but the model's lean was validated (SC Freiburg win 4–1).

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Prediction Timeline

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

  1. Aug 30, 2026 · 19:24 UTC Forecast generated
    • Model 1X2 · SC Freiburg 46.5% · Draw 28.7% · Werder Bremen 24.8%
    • xG · SC Freiburg 1.34 — Werder Bremen 1.03
  2. Aug 30, 2026 · 13:20 UTC Opening odds snapshot PRE10
    • 1X2 odds · SC Freiburg 1.84 · Draw 3.76 · Werder Bremen 4.55
    • Implied 1X2 · SC Freiburg 52.8% · Draw 25.8% · Werder Bremen 21.4%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · SC Freiburg 1.84 · Draw 3.76 · Werder Bremen 4.55
    • Implied 1X2 · SC Freiburg 52.8% · Draw 25.8% · Werder Bremen 21.4%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result SC Freiburg win · 4–1
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 68/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:43 UTC Snapshot ID: dp-5294329

Closing Odds 1.84
AI Fair Odds —
CLV Pending
Final Result SC Freiburg win · SC Freiburg 4–1 Werder Bremen
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: Bundesliga
  • Fixture: SC Freiburg vs Werder Bremen
  • Kickoff: 2026-08-30 13:30:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): SC Freiburg 1.34 — Werder Bremen 1.03 (total xG ≈ 2.37)
  • 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: 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

September 29, 2026 (UTC)

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Bundesliga Bundesliga — Standings
# TEAM MP W D L PTS
1 Borussia Dortmund 4 4 0 0 12
2 Bayern München 4 3 1 0 10
3 SC Freiburg 4 3 1 0 10
4 FC Augsburg 4 2 1 1 7
5 Bayer Leverkusen 4 2 1 1 7
6 FSV Mainz 05 4 2 1 1 7
7 SV Elversberg 4 2 1 1 7
8 Werder Bremen 4 2 1 1 7
9 RB Leipzig 4 2 0 2 6
10 Eintracht Frankfurt 4 1 2 1 5
11 FC Schalke 04 4 1 2 1 5
12 SC Paderborn 07 4 1 1 2 4
13 1.FC Köln 4 1 1 2 4
14 1899 Hoffenheim 4 1 0 3 3
15 VfB Stuttgart 4 1 0 3 3
16 Hamburger SV 4 1 0 3 3
17 Union Berlin 4 0 1 3 1
18 Borussia Mönchengladbach 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Bayern München 4 14 2 +12 10
2 SC Freiburg 4 12 3 +9 10
3 FC Augsburg 4 11 6 +5 7
4 Bayer Leverkusen 4 10 5 +5 7
5 FSV Mainz 05 4 10 6 +4 7
6 Borussia Dortmund 4 9 2 +7 12
7 RB Leipzig 4 9 5 +4 6
8 Eintracht Frankfurt 4 9 10 -1 5
9 SV Elversberg 4 8 7 +1 7
10 Werder Bremen 4 8 8 0 7
11 1899 Hoffenheim 4 7 10 -3 3
12 1.FC Köln 4 6 9 -3 4
13 VfB Stuttgart 4 6 9 -3 3
14 Borussia Mönchengladbach 4 6 16 -10 0
15 Union Berlin 4 4 17 -13 1
16 FC Schalke 04 4 3 4 -1 5
17 SC Paderborn 07 4 3 5 -2 4
18 Hamburger SV 4 2 13 -11 3
# TEAM MP xG xGC +/- PTS
1 RB Leipzig 4 4.0 0.9 +3.1 6
2 Bayern München 4 3.9 0.9 +3.0 10
3 SC Freiburg 4 1.9 0.5 +1.4 10
4 FC Augsburg 4 4.7 3.8 +0.9 7
5 Bayer Leverkusen 4 1.9 1.1 +0.8 7
6 Borussia Dortmund 4 1.4 0.7 +0.7 12
7 Eintracht Frankfurt 4 3.6 3.0 +0.6 5
8 Union Berlin 4 1.9 1.4 +0.5 1
9 FSV Mainz 05 4 1.2 0.8 +0.4 7
10 1899 Hoffenheim 4 1.8 1.7 +0.1 3
11 1.FC Köln 4 1.7 1.8 -0.1 4
12 SC Paderborn 07 4 0.8 1.2 -0.4 4
13 Hamburger SV 4 0.7 1.4 -0.7 3
14 SV Elversberg 4 1.1 1.9 -0.8 7
15 Werder Bremen 4 0.5 1.9 -1.4 7
16 FC Schalke 04 4 1.5 3.5 -2.0 5
17 VfB Stuttgart 4 0.9 3.9 -3.0 3
18 Borussia Mönchengladbach 4 0.9 4.0 -3.1 0