Uruguay · Primera Division · Sat 8 Feb 2025 12:45 UTC · All tips 8 Feb

Liverpool Montevideo Liverpool Montevideo
2 – 1
Full time
Miramar Misiones Miramar Misiones

Liverpool Montevideo vs Miramar Misiones betting tips

Liverpool Montevideo vs Miramar Misiones finished 2-1. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Liverpool Montevideo vs Miramar Misiones?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.22 · Prob 76%
VIP Won
1X2
Pick: Final Time 1X · Odds 1.21 · Prob 70%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 65%
VIP Lost
Over/Under 2.5
Pick: Under 2.5 · Odds 1.64 · Prob 63%
VIP Lost
Both Teams To Score
Pick: BTTS No · Odds 1.79 · Prob 56%
VIP Lost

Match insights: form, goals and model lean

Model lean

Under 3.5 76% Other 24%

Head to head (3)

1Liverpool Montevideo
1Draws
1Miramar Misiones

Recent form

Liverpool Montevideo
D W D D L D L D D
9 pts / 9
Miramar Misiones
L D D D W L D W D
11 pts / 9

Goals (avg last matches)

1.2 / 1.2 Liverpool Montevideo scored / conceded
0.8 / 1.1 Miramar Misiones scored / conceded

Tip analysis

Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

Previous meetings and recent results

Who will win Liverpool Montevideo vs Miramar Misiones?

44 community votes

59% Liverpool Montevideo
16% Draw
25% Miramar Misiones

Voting closed

Frequently asked questions

Who will win Liverpool Montevideo vs Miramar Misiones?

Our model currently leans Under 3.5 with about 76% confidence. See free and VIP markets below.

What are the odds for Liverpool Montevideo vs Miramar Misiones?

The featured free market shows odds around 1.22 (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 11 Nov 2026 22:28 UTC · Insights built from Betting Tips historical predictions · Data quality: thin