Argentina · Primera Nacional · Sat 25 Jul 2026 19:00 UTC · All tips 25 Jul

Atletico de Rafaela Atletico de Rafaela
1 – 0
Full time
Nueva Chicago Nueva Chicago

Atletico de Rafaela vs Nueva Chicago betting tips

Atletico de Rafaela vs Nueva Chicago finished 1-0. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Atletico de Rafaela vs Nueva Chicago?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.08 · Prob 78%
VIP Won
Away Over/Under 1.5
Pick: Away Under 1.5 · Prob 77%
VIP Won
1X2
Pick: Final Time 1X · Odds 1.25 · Prob 74%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 66%
VIP Won
Over/Under 2.5
Pick: Under 2.5 · Odds 1.32 · Prob 65%
VIP Won
Both Teams To Score
Pick: BTTS No · Odds 1.50 · Prob 57%
VIP Won

Match insights: form, goals and model lean

Model lean

Under 3.5 78% Other 22%

Head to head (4)

0Atletico de Rafaela
2Draws
2Nueva Chicago

Recent form

Atletico de Rafaela
L L L D D W L W
8 pts / 8
Nueva Chicago
D L W D L W L D
9 pts / 8

Goals (avg last matches)

0.4 / 1 Atletico de Rafaela scored / conceded
0.8 / 1 Nueva Chicago 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 Atletico de Rafaela vs Nueva Chicago?

37 community votes

59% Atletico de Rafaela
16% Draw
24% Nueva Chicago

Voting closed

Frequently asked questions

Who will win Atletico de Rafaela vs Nueva Chicago?

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

What are the odds for Atletico de Rafaela vs Nueva Chicago?

The featured free market shows odds around 1.08 (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 28 Oct 2026 02:47 UTC · Insights built from Betting Tips historical predictions · Data quality: thin