Football Betting Stats: Over 2.5, BTTS, Form & H2H

The pre-match numbers every football bettor checks, for every fixture at once: both teams' form, points per game, goals for and against, how often their games go over 1.5, 2.5 and 3.5 goals, how often both teams score, clean sheets, home-only and away-only records, and the head-to-head. Top leagues, the Champions League, Nations League, World Cup and AFCON qualifiers, and the leading African leagues, including Kenya, Nigeria and South Africa.

Other football Actors give you scores and fixture lists. This one gives you the form guide behind every fixture, ready for a spreadsheet, a model or a quick scan before the weekend.

No tips, no API key, no proxy.

What does this do?

For each fixture in the window you choose, it reads both teams' last matches and their meetings, then works out:

Australia vs Brazil · Friendly International · 25 Sep 2026 10:00 UTC

                     Australia        Brazil
 form (last 10)      LDLWDLWWLL       LWWWDWWWLD
 points per game     1.1              2.0
 goals for / against 1.0 / 1.1        2.3 / 1.1
 over 2.5            30%              80%
 both teams score    30%              80%
 at this venue       home 7-1-2       away 3-2-5

 combined: over 2.5 55% · BTTS 55% · avg goals 2.8 · goals expected 1.5 - 1.0
 head-to-head: Australia 1 win, 1 draw, 4 losses · last: Australia 0-4 Brazil (2017)

Who is it for?

• Bettors: a full weekend's form guide in one table, filtered to the leagues you bet on
• Tipsters and betting Telegram or Discord channels: the stats behind every pick, refreshed daily
• Model builders: clean pre-match features for every fixture, measured strictly before kick-off, so results never leak into the inputs
• Fantasy and media sites: talking points for every match

What data do you get?

One row per fixture:

Field	What it tells you
kickoff, country, league, stage, home, away, status, score	The fixture (and the result, for finished matches)
homeForm, awayForm, homePointsPerGame, awayPointsPerGame	Recent results, most recent first
over25Percent, bttsPercent, avgTotalGoals	Both sides' rates averaged
venueOver25Percent, venueBttsPercent	The same, using only the home side's home games and the away side's away games
homeGoalsExpected, awayGoalsExpected	Each side's scoring rate averaged with what the other side concedes
homeLast, awayLast	Full figures: W-D-L, goals for and against, over 1.5 / 2.5 / 3.5, BTTS, clean sheets, failed to score, days of rest
homeAtHome, awayAway	The same figures at this venue only
headToHead	Meetings, home wins, draws, away wins, average goals, over 2.5, BTTS, last meeting

Do the numbers mean anything? A check on real results

A live run on 24 September 2026 read 289 finished matches from the previous three days, with each match's stats measured before it kicked off, and compared them with what happened:

Pre-match "both teams to score" rate	Matches	Both teams actually scored
under 40%	38	18%
40% to 59%	136	53%
60% or more	115	63%

Pre-match "over 2.5" rate	Matches	Actually went over 2.5
under 60%	159	52%
60% or more	130	73%

The numbers track reality: matches the stats rated low for BTTS saw both teams score less than a fifth of the time. Two honest caveats. It is three days and 289 matches, which is enough to show a pattern and not enough to measure it precisely. And bookmakers know all of this too: an obvious BTTS "yes" is priced accordingly. These are the stats to check, not a system that beats the odds.

How it works, and what it does not do

• Everything is measured before kick-off. Each team's list of recent matches includes the match itself and anything played since; those are removed, so a finished match's figures are exactly what was knowable beforehand. That is what makes the check above possible, and what makes the data safe to train a model on.
• All competitions count. A team's last 10 includes league, cup and international matches, as a form guide should. The head-to-head is every meeting, any competition.
• Combined figures are averages, not predictions. "Over 2.5 55%" means the two sides' records average 55%, which is what you would work out by hand. No model is fitted and no pick is made.
• International breaks empty the domestic leagues. The major-league set includes the Nations League, World Cup and AFCON qualifiers, so there is always something; pick "All leagues" to see every match.
• Scores are full time. Cup ties settled in extra time use the score after extra time.

Example runs

Run on 24 September 2026	Result
Major leagues, next 3 days (an international-break week)	137 fixtures in 41 s, from 3,004 matches listed
All leagues, finished, last 3 days	300 matches in 99 s
Head-to-head feeds read	436 of 437
Failures	none

Pricing

$0.005 per fixture. A 200-fixture weekend costs $1.00; one league's round of 10 matches costs $0.05.

Input

Field	Meaning
Leagues	Major leagues (default), all leagues, or your own list
Custom leagues	e.g. "ENGLAND: Premier League", "KENYA: Premier League", "EUROPE: Champions League"
Teams	Only fixtures involving these teams
Days ahead / Days back	The window, up to 7 days each way (UTC)
Fixtures	Upcoming, finished, or both
Form window	How many previous matches the figures use (default 10)
Include women's and youth football	Off by default
Maximum fixtures	A cap, earliest kick-off first

Integrations

Results export to JSON, CSV, Excel and Google Sheets, or feed a bot, a Telegram or Discord channel or a model through the Apify API, webhooks, Make, Zapier and n8n. Schedule it every morning for the day's fixtures.