Uruguay · Primera Division · Sun 25 May 2025 15:00 UTC · All tips 25 May

Danubio Montevideo
2 – 0
Full time
Miramar Misiones

Danubio Montevideo vs Miramar Misiones betting tips

Danubio Montevideo vs Miramar Misiones finished 2-0. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Danubio Montevideo vs Miramar Misiones?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.15 · Prob 78%
VIP Won
Away Over/Under 1.5
Pick: Away Under 1.5 · Prob 74%
VIP Won
1X2
Pick: Final Time 1X · Odds 1.20 · Prob 71%
VIP Won
Over/Under 2.5
Pick: Under 2.5 · Odds 1.48 · Prob 65%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 65%
VIP Lost
Both Teams To Score
Pick: BTTS No · Odds 1.60 · Prob 58%
VIP Won

Match insights: form, goals and model lean

Model lean

Under 3.5 78% Other 22%

Head to head (3)

2Danubio Montevideo
0Draws
1Miramar Misiones

Recent form

Danubio Montevideo
W D L L L L D D D D
8 pts / 10
Miramar Misiones
D W L L L L L D W D
9 pts / 10

Goals (avg last matches)

0.8 / 1.2 Danubio Montevideo scored / conceded
1.1 / 1.6 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 Danubio Montevideo vs Miramar Misiones?

34 community votes

56% Danubio Montevideo
18% Draw
26% Miramar Misiones

Voting closed

Frequently asked questions

Who will win Danubio Montevideo vs Miramar Misiones?

Our model currently leans Under 3.5 with about 78% confidence. See free and VIP markets below.

What are the odds for Danubio Montevideo vs Miramar Misiones?

The featured free market shows odds around 1.15 (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 30 Sep 2026 19:14 UTC · Insights built from Betting Tips historical predictions · Data quality: thin