Football Analysis BETA

Use our historical football match/results data to create your own profitable system. Noticed a mistake? Drop us a line using the contact form.

As of 6th March 2019 no further data will be added here. Historical data will remain so that it can still be analysed. Thanks for using rdata!


Load Set Expand Date Range

Results 27-02-2016 to 24-08-2018

Showing only the first three results - please use the 'All Results' button above to view full results

Open Balance Date Country League * Matches (H/A) Home Away Stake SP Score Res Balance
1,000.00 01 Mar 2016 Italy Serie B 28 / 28 Spezia (7) Cesena (5) 10.00 3.20 1:1 WIN 1,022.00
1,022.00 04 Mar 2016 Netherlands Eerste Divisie 26 / 27 G.a. Eagles (7) Emmen (6) 10.00 3.60 0:0 WIN 1,048.00
1,048.00 06 Mar 2016 Germany 2. Bundesliga 23 / 22 Heidenheim (7) St. Pauli (5) 10.00 3.20 2:0 LOSE 1,038.00


Summary

Final Balance (Start:1000) Min Balance Max Balance Max Stake Total Bets Total Stake Win Rate (%) ROI (%)
1,920.20 (+920.20) 1,000.00 1,930.20 10.00 196 1,960.00 44.39 46.95
Longest Winning Streak :: 5 Longest Losing Streak :: 9
Year Bets Start Bank End Bank Profit / Loss
2016 77 1,000.00 1,299.00 299.00
2017 88 1,299.00 1,737.00 438.00
2018 31 1,737.00 1,920.20 183.20


Chart

The chart shows progress (bank balance) along the course of the date range



Selection Analysis

If this is a saved set you can remove leagues by clicking on the country. The page will reload without the selected league.

Country League Wins Losses Win Rate (%)
Portugal Segunda 4 3 57.14
Spain LaLiga2 5 4 55.56
Netherlands Eerste Divisie 10 9 52.63
Finland Veikkausliiga 14 14 50.00
Norway OBOS Ligaen 11 11 50.00
Greece Super League 4 5 44.44
Sweden Superettan 13 19 40.63
Italy Serie B 7 11 38.89
England League Two 6 10 37.50
Germany 2. Bundesliga 7 12 36.84
Romania Liga 1 6 11 35.29

League Position Difference (Negative = Away Team is higher than the Home Team) Wins Losses Win Rate (%)
-4 19 16 54.29
-3 17 19 47.22
-2 22 29 43.14
-1 29 45 39.19



* Most links should take you straight to the Google league table but some won't, in which case, you'll see Google search results for the home team.
** Matches played (post 10th Aug 2018) is a calculation based on several pieces of data we hold about the league and WILL NOT always be accurate. It is the approximate number of matches played up until the date of the match. Before 10th August the data is correct based on actual league tables.