Germany · Bundesliga · Sat 17 Jan 2026 14:30 UTC · All tips 17 Jan

Borussia Dortmund Borussia Dortmund
3 – 2
Full time
Sankt Pauli Sankt Pauli

Borussia Dortmund vs Sankt Pauli betting tips

Borussia Dortmund vs Sankt Pauli finished 3-2. Moderate historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.

What are the tips for Borussia Dortmund vs Sankt Pauli?

Home to Score
Pick: Home Over 0.5 · Prob 86%
VIP Won
Away Over/Under 1.5
Pick: Away Under 1.5 · Prob 76%
VIP Lost
Home Over/Under 1.5
Pick: Home Over 1.5 · Prob 67%
VIP Won
Over/Under 2.5
Pick: Over 2.5 · Odds 1.70 · Prob 61%
VIP Won
Both Teams To Score
Pick: BTTS No · Odds 1.67 · Prob 57%
VIP Lost
1X2
Pick: Final Time 1 · Odds 1.31 · Prob 55%
VIP Won
Over/Under 3.5
Pick: Over 3.5 · Odds 2.73 · Prob 41%
VIP Won

Match insights: form, goals and model lean

Model lean

Home Over 0.5 86% Other 14%

Head to head (3)

2Borussia Dortmund
1Draws
0Sankt Pauli

Recent form

Borussia Dortmund
W D W D W W D D L W
19 pts / 10
Sankt Pauli
L D W D W L L L L L
8 pts / 10

Goals (avg last matches)

1.9 / 1.3 Borussia Dortmund scored / conceded
0.8 / 1.7 Sankt Pauli scored / conceded

Tip analysis

Moderate historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.

Previous meetings and recent results

Who will win Borussia Dortmund vs Sankt Pauli?

38 community votes

47% Borussia Dortmund
13% Draw
39% Sankt Pauli

Voting closed

Frequently asked questions

Who will win Borussia Dortmund vs Sankt Pauli?

Our model currently leans Home Over 0.5 with about 86% confidence. See free and VIP markets below.

What are the odds for Borussia Dortmund vs Sankt Pauli?

Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.

Where can I see H2H and recent form?

Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.

Last updated 28 Oct 2026 02:42 UTC · Insights built from Betting Tips historical predictions · Data quality: thin