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Scan matches, discover trends and track what matters.

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Matchday
All matches

Presets

In-form home v struggling away
UK 3pms
Watchlist
Tracking
Insights

Explore

Markets
Leagues

Learn

Features
Blog
Remo logo
Serie A

Remo

OverviewMatchesStats

At a glance

Based on
Full matches17
Recent matches5
Best-fit markets
Goal in 1H
82%
Last 5: 100%
Over 1.5
82%
Last 5: 80%
Goal in 2H
71%
Last 5: 60%
BTTS
59%
Last 5: 80%

Full Time Result

Win

Up 22 pts
Season
3/17
18%
Last 5
2/5
40%

Draw

Down 15 pts
Season
6/17
35%
Last 5
1/5
20%

Lose

Down 7 pts
Season
8/17
47%
Last 5
2/5
40%

Points

Points per game

Up 0.52
Season
17 matches
0.88
Last 5
5 matches
1.40

Both Teams To Score

BTS

Up 21 pts
Season
10/17
59%
Last 5
4/5
80%

BTS & Win

Up 22 pts
Season
3/17
18%
Last 5
2/5
40%

BTS & Lose

Up 8 pts
Season
2/17
12%
Last 5
1/5
20%

Goals

Average goals scored

Up 0.22
Season
17 matches
1.18
Last 5
5 matches
1.40

Average goals conceded

Down 0.31
Season
17 matches
1.71
Last 5
5 matches
1.40

Over 1.5

Down 2 pts
Season
14/17
82%
Last 5
4/5
80%

Over 2.5

Up 13 pts
Season
8/17
47%
Last 5
3/5
60%

Over 3.5

Down 9 pts
Season
5/17
29%
Last 5
1/5
20%

Scored in

Up 21 pts
Season
10/17
59%
Last 5
4/5
80%

Conceded in

Up 6 pts
Season
16/17
94%
Last 5
5/5
100%

Clean sheets

Down 6 pts
Season
1/17
6%
Last 5
0/5
0%

Intervals

Goal in 1H

Up 18 pts
Season
14/17
82%
Last 5
5/5
100%

Goal in 2H

Down 11 pts
Season
12/17
71%
Last 5
3/5
60%

Win 1H

Down 6 pts
Season
1/17
6%
Last 5
0/5
0%

Lose 1H

Up 5 pts
Season
6/17
35%
Last 5
2/5
40%

Win 2H

Up 22 pts
Season
3/17
18%
Last 5
2/5
40%

Lose 2H

Down 21 pts
Season
7/17
41%
Last 5
1/5
20%

Both scored in BH

Up 8 pts
Season
2/17
12%
Last 5
1/5
20%

Result analysis

3 wins
Home
Away
1
2
v Higher
2
1
v Lower
6 draws
Home
Away
4
2
v Higher
5
1
v Lower
7 losses
Home
Away
3
4
v Higher
7
0
v Lower

Day by day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

17

0

0

4

3

0

3

7

Home Win

35%

0%0%25%67%0%0%43%

Draw

35%

0%0%75%0%0%33%29%

Away Win

29%

0%0%0%33%0%67%29%

BTS

59%

0%0%75%0%0%67%71%

BTS & Win

29%

0%0%0%0%0%33%57%

Over 1.5

82%

0%0%100%100%0%67%71%

Over 2.5

47%

0%0%50%33%0%33%57%

Over 3.5

29%

0%0%50%0%0%0%43%

Stats breakdown

Remo stats 

Use this page to test whether the main patterns around Remo still hold when you move beyond the headline view and into deeper team stats.

How to use this stats page

Use this page when you want a denser read on Remo. Start with the best-fit markets and sample context, then move through the stat groups to see whether the same pattern holds across results, goals, and timing splits.

The result-analysis blocks below are there to help you test whether the headline stats still make sense when you look at wins, draws, and losses separately.

Page guide

What this page is showing

This page currently uses 38 Remo matches from Serie A to calculate the team stat groups, best-fit markets, and result analysis shown here.

Current scope

Freshness and methodology

Satdee updates this public stats page as match data changes. Treat the rates and labels as research context rather than predictions, then cross-check the relevant fixtures and wider league environment before you rely on a single signal.

Data quality

Research next

Move from a team page to a watchlist you can explain

  1. Start with the strongest stat groups and best-fit markets.
  2. Check whether the same signal still holds on the matches page and in the league context.
  3. Use the wider market pages only after the team-level pattern still looks coherent.
  4. Return to the Satdee matchday calendar and keep only the fixtures that still make sense.

Continue from here

  • Open the Satdee matchday calendar
  • Open Remo overview
  • Review Remo matches
  • Open the league page
  • Compare market pages

FAQ

Questions users usually ask next 

A few quick answers about what this team page is showing, how to use it in the Satdee workflow, and where to go next.

Why use Remo stats instead of the overview alone?

Remo stats breaks the team into deeper rate-based groups and result analysis, which is more useful when you want to understand whether the broad overview still holds under closer inspection.

What should I do after finding a useful signal here?

Check the matches page and the wider league context, then return to the Satdee matchday calendar if the upcoming fixture still fits the angle you want to follow.