FINAL: VfB Stuttgart 1 — Werder Bremen 1. Our Monte Carlo simulation projected VfB Stuttgart 1.98 - Werder Bremen 1.25 (VfB Stuttgart at 63.7% win probability). Expected total goals: 3.2..
VfB Stuttgart
1.98
Projected Goals
VS
3.2 total
Werder Bremen
1.25
Projected Goals
Match Outcome Probabilities
VfB StuttgartDrawWerder Bremen
Calibrated accuracy at this confidence: 75.5% (1,051 games)
Projected Goals Range 10th – 90th percentile
Werder Bremen
0.51.22.0
VfB Stuttgart
1.22.02.8
Projected
VfB Stuttgart 1.98 — Werder Bremen 1.25
Actual
VfB Stuttgart 1 — Werder Bremen 1
Pick Results
UNDER 3.25totalWIN+1.43u
Expected Goals (xG)
VfB Stuttgart1.96
Werder Bremen1.21
19.2Shots14.1
7.4On Target5.0
5.9Corners5.4
Goal Probabilities
Over 0.5
97.3%
Over 1.5
84.4%
Over 2.5
56.4%
Over 3.5
21.9%
Under 2.5
43.6%
BTTS
53.2%
Most Likely Scores
1-1
9.5%
2-1
9.5%
3-1
6.9%
2-2
6.7%
2-0
6.6%
Match Context
BUNMedium
VfB Stuttgart
1.52
Draw
4.46
Werder Bremen
5.71
AI Intelligence Analysis
NEUTRAL -1RED ZONE45.3% WR (n=126)
Stuttgart home at 63.7% model probability vs 65.8% market. Home ML is RED zone (45.3% WR). Model slightly undervalues Stuttgart. Total is 3.23 (model) vs 3.25 (market) — essentially flat. No edge threshold met for totals (min 8%). ML disabled. SKIP.
Key Factors
- Stuttgart elite attack (2.38 rating, 2.07 GF/90) — best attacking threat on slate
- Home ML RED zone: 45.3% WR — category is blocked
- Market ahead on probability: 65.8% market vs 63.7% model — market is correct
- Total line essentially flat: model 3.23 vs market 3.25 (edge: -0.02) — no trade
Risk Factors
- Home ML is worst-performing soccer bet (45.3% WR, z=-1.07)
- Draw probability 16.1% adds ML variance
- Werder Bremen mid-tier (1.17 GF/90) — competitive at home
HOME ML RED ZONEML DISABLEDHIGH SCORING LEAGUEMARKET AHEAD
Edge Analysis
Moneyline
VfB Stuttgart 63.7%
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Total
3.2
+14.0 pts
How this prediction was generated: This page shows output from the Olympus Bets Soccer Monte Carlo engine. Each game is simulated 5,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →