Argentina · Liga Profesional · Thu 21 Nov 2024 22:15 UTC · All tips 21 Nov

Independiente Independiente
1 – 0
Full time
Gimnasia La Plata Gimnasia La Plata

Independiente vs Gimnasia La Plata betting tips

Independiente vs Gimnasia La Plata finished 1-0. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Independiente vs Gimnasia La Plata?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.12 · Prob 78%
VIP Won
Away Over/Under 1.5
Pick: Away Under 1.5 · Prob 74%
VIP Won
1X2
Pick: Final Time 12 · Odds 1.35 · Prob 71%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 65%
VIP Won
Over/Under 2.5
Pick: Under 2.5 · Odds 1.41 · Prob 64%
VIP Won
Both Teams To Score
Pick: BTTS No · Odds 1.53 · Prob 57%
VIP Won

Match insights: form, goals and model lean

Model lean

Under 3.5 78% Other 22%

Head to head (4)

1Independiente
2Draws
1Gimnasia La Plata

Recent form

Independiente
L W D D D W W
12 pts / 7
Gimnasia La Plata
W D L D L D D
7 pts / 7

Goals (avg last matches)

0.9 / 0.3 Independiente scored / conceded
0.7 / 0.9 Gimnasia 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 Independiente vs Gimnasia La Plata?

41 community votes

54% Independiente
17% Draw
29% Gimnasia La Plata

Voting closed

Frequently asked questions

Who will win Independiente vs Gimnasia La Plata?

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

What are the odds for Independiente vs Gimnasia La Plata?

The featured free market shows odds around 1.12 (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 6 Nov 2026 16:53 UTC · Insights built from Betting Tips historical predictions · Data quality: thin