Bayer Leverkusen (W) – Werder Bremen (W)

Model: TIPPSH

Bayer Leverkusen (W) – Werder Bremen (W)

PREDICTION
1
@ 1.71
StatusArchived prediction
KickoffMag 17, 2026 4:00 PM
ResultLOSS1 - 3
StartStarted 9d 8h ago
V2 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
V4 ConfidenceUNKNOWNExpected ROI 0.00% · n=0
Confidence bands summarize the historical reliability of similar model predictions. ROI and sample size refer to previous tips in the same model profile.
Updated Updated 10d 3h ago

Team Form & Goal Trends

Recent form based on completed matches before kickoff.

Metric Bayer Leverkusen (W) Werder Bremen (W)
Last 5 form L-W-W-W W-W-L-L-D
Avg goals scored 3.00 2.20
Avg goals conceded 1.25 1.40
Home/Away form L-W (home) W-L-D (away)
Home/Away avg goals 2.50 scored / 2.00 conceded 1.33 scored / 1.67 conceded
Shots on target 7.25 for / 5.00 against 4.40 for / 5.40 against
Home/Away shots on target 8.50 for / 4.50 against (home) 3.67 for / 7.33 against (away)

AI Match Insight

The market strongly favors Bayer Leverkusen (W), and recent form broadly confirms the direction of the price. The model does not assign a strong confidence profile here, making the pick more speculative. Bayer Leverkusen (W) has produced stronger recent offensive pressure in terms of shots on target.

Odds history (MaxOdd + StochasticOdds)
Start odds1.59First seen
Current1.71Now
Max odds1.71Highest point
Min odds1.55Lowest point
VolatilityHighStable range
TrendRisingShort term
Model insight

Bayer Leverkusen (W) – Werder Bremen (W) Betting Analysis

The model currently selects 1 at odds 1.71. This prediction is generated by the TIPPSH model profile. The odds history chart above summarizes market movement, volatility and the latest available price before kickoff. The bookmaker panel currently monitored by StochasticBet includes Bet365, Pinnacle, Bwin, Unibet and 1XBet. The market moved significantly against the initial model price before kickoff. Historically, large late odds increases may indicate external factors not fully captured by the statistical framework. High pre-match volatility suggests increased uncertainty and rapidly changing market conditions. Model performance can deteriorate during unstable football calendar phases, such as early-season matches, post-international-break rounds and late-season fixtures with unusual motivation or rotation patterns.
Pick
1 @ 1.71
Kickoff
Mag 17, 2026 4:00 PM
Confidence
CONF: ?
Start
Started 9d 8h ago
Updated
Updated 10d 3h ago
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