Slovakia · 2. Liga · Fri 15 May 2026 16:00 UTC · All tips 15 May

Petrzalka Bratislava
2 – 1
Full time
Tatran Liptovsky Mikulas

Petrzalka Bratislava vs Tatran Liptovsky Mikulas betting tips

Petrzalka Bratislava vs Tatran Liptovsky Mikulas finished 2-1. Moderate historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.

What are the tips for Petrzalka Bratislava vs Tatran Liptovsky Mikulas?

1X2
Pick: Final Time 12 · Odds 1.19 · Prob 72%
VIP Won
Over/Under 2.5
Pick: Over 2.5 · Odds 1.67 · Prob 54%
VIP Won
Both Teams To Score
Pick: BTTS Yes · Odds 1.61 · Prob 53%
VIP Won

Match insights: form, goals and model lean

Model lean

Petrzalka Bratislava 72% Tatran Liptovsky Mikulas 28%

Head to head (4)

1Petrzalka Bratislava
1Draws
2Tatran Liptovsky Mikulas

Recent form

Petrzalka Bratislava
L W W L W W W W D D
20 pts / 10
Tatran Liptovsky Mikulas
W D W D W L D L W L
15 pts / 10

Goals (avg last matches)

1.8 / 0.6 Petrzalka Bratislava scored / conceded
1.6 / 1.4 Tatran Liptovsky Mikulas scored / conceded

Tip analysis

Moderate historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.

Previous meetings and recent results

Who will win Petrzalka Bratislava vs Tatran Liptovsky Mikulas?

32 community votes

56% Petrzalka Bratislava
16% Draw
28% Tatran Liptovsky Mikulas

Voting closed

Frequently asked questions

Who will win Petrzalka Bratislava vs Tatran Liptovsky Mikulas?

Our model currently leans Final Time 12 with about 72% confidence. See free and VIP markets below.

What are the odds for Petrzalka Bratislava vs Tatran Liptovsky Mikulas?

The featured free market shows odds around 1.19 (decimal). Switch odds format in the header if you prefer American or Fractional.

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 1 Oct 2026 16:15 UTC · Insights built from Betting Tips historical predictions · Data quality: thin