Predictions / Football / Germany. Bundesliga / SC Freiburg vs RB Leipzig

Prediction Audit: SC Freiburg vs RB Leipzig Prediction, Odds & AI Betting Tips

May 16, 2026 - 13:30
4 1.56
1 1.84
xG Accuracy: 41%

The model missed the final outcome (SC Freiburg win 4–1).

The model had projected RB Leipzig at 43.3%, 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 RB Leipzig SC Freiburg ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 4-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates RB Leipzig considerably stronger than the closing betting market.

Largest probability gap: RB Leipzig +6.6 pp

Outcome Model Closing Market Difference Signal
SC Freiburg 31.7% 37.6% -5.9 pp Market Higher
Draw 24.9% 25.6% -0.7 pp Aligned
RB Leipzig 43.3% 36.8% +6.6 pp Model Higher

The statistical model estimates RB Leipzig's win probability at 43.3%, compared with the closing market's implied probability of 36.8%, a difference of 6.6 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 SC Freiburg win 4–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on RB Leipzig.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.40) — 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 RB Leipzig; match finished SC Freiburg
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on RB Leipzig by 6.6 percentage points (36.7% vs model 43.3%) — 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 16, 2026 · 13:29 UTC Forecast generated
    • Model 1X2 · SC Freiburg 31.8% · Draw 24.9% · RB Leipzig 43.3%
    • xG · SC Freiburg 1.56 — RB Leipzig 1.84
  2. May 16, 2026 · 13:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · SC Freiburg 2.59 · Draw 3.80 · RB Leipzig 2.65
    • Implied 1X2 · SC Freiburg 37.6% · Draw 25.6% · RB Leipzig 36.8%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · SC Freiburg 2.59 · Draw 3.80 · RB Leipzig 2.65
    • Implied 1X2 · SC Freiburg 37.6% · Draw 25.6% · RB Leipzig 36.8%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result SC Freiburg win · 4–1
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 10:00 UTC Snapshot ID: dp-1853311

Closing Odds 2.65
AI Fair Odds —
CLV Pending
Final Result SC Freiburg win · SC Freiburg 4–1 RB Leipzig
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: SC Freiburg vs RB Leipzig
  • Kickoff: 2026-05-16 13:30:00
  • 1X2 (model): Home 31.8% · Draw 24.9% · Away 43.3%
  • xG (showing): SC Freiburg 1.56 — RB Leipzig 1.84 (total xG ≈ 3.4)
  • 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 34.0% · Over 2.5 66.0%); BTTS Yes (Yes 67.7% · No 32.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 67.7% · No 32.3%
  • Correct score (top bin): 1-1 (9.6%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

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