Argentina · Liga Profesional · Tue 30 Sep 2025 22:00 UTC · All tips 30 Sep

Newell's Old Boys Newell's Old Boys
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Estudiantes La Plata Estudiantes La Plata

Newell's Old Boys vs Estudiantes La Plata betting tips

Newell's Old Boys vs Estudiantes La Plata finished 1-1. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Newell's Old Boys vs Estudiantes La Plata?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.14 · Prob 76%
Free Won
1X2
Pick: Final Time 12 · Odds 1.41 · Prob 72%
VIP Lost
Over/Under 2.5
Pick: Under 2.5 · Odds 1.42 · Prob 63%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 63%
VIP Won
Both Teams To Score
Pick: BTTS No · Odds 1.63 · Prob 57%
VIP Lost

Match insights: form, goals and model lean

Model lean

Under 3.5 76% Other 24%

Head to head (4)

0Newell's Old Boys
0Draws
4Estudiantes La Plata

Recent form

Newell's Old Boys
W L D L W L D W D
12 pts / 9
Estudiantes La Plata
W L W L W W L D L D
14 pts / 10

Goals (avg last matches)

1.1 / 0.9 Newell's Old Boys scored / conceded
0.8 / 1.3 Estudiantes La Plata 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 Newell's Old Boys vs Estudiantes La Plata?

38 community votes

61% Newell's Old Boys
13% Draw
26% Estudiantes La Plata

Voting closed

Frequently asked questions

Who will win Newell's Old Boys vs Estudiantes La Plata?

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

What are the odds for Newell's Old Boys vs Estudiantes La Plata?

The featured free market shows odds around 1.14 (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 23:22 UTC · Insights built from Betting Tips historical predictions · Data quality: thin