Football data sources, analytical models, decision frameworks, and the technology stacks that turn raw data into competitive advantage. This pillar is the most developed across KiqIQ — the Poisson + Kelly + EV framework powers our calculators, value bet feed, and the entire AI assistant.
Coaches describe defensive blocks as "high", "mid" or "low", "compact" or "stretched". Modern tracking data can classify every defensive sequence along both dimensions automatically — turning a coaching vocabulary into a measurable model.
5 min read
Coaches don't need more clips. They need sharper answers to sharper questions. Seven analyst habits that separate reports that change selection from reports nobody reads.
6 min read
Transfermarkt market values are crowdsourced, not algorithmic — and they're not designed to predict transfer fees. Here's how the methodology works, what the academic research says about its accuracy, and how to use the numbers properly.
6 min read
Different referees call football matches very differently — 1.8+ yellow cards apart per match in the Premier League. That gap is exploitable in card and penalty betting markets when bookmakers price the league average instead of the actual referee.
8 min read
VAEP rates every on-ball action by how it changes the probability of scoring or conceding. We explain how it works, what it captures that xG misses, and where to find it.
9 min read
Football heatmaps visualise where a player or team spends their time on the pitch. We explain how they are built, what they reveal, and their limitations.
7 min read
Football KPIs (Key Performance Indicators) are the small set of metrics that consistently predict match outcomes. We list the 12 that matter, what each measures, and which are noise.
10 min read
mplsoccer is the open-source Python library powering most football visualisations on Twitter, Reddit, and analyst blogs. We explain what it does, who built it, and how to start using it.
7 min read
Tactalyse is a Netherlands-based football analytics service built around personalised player video and a 1-on-1 coaching conversation. We map the product, the 400-clips-per-match model, and where it fits vs Wyscout and Statsbomb.
6 min read
Football match stats reach your screen through a chain of human and AI data-gathering. We explain the Opta Forza process, the role of human analysts, automated tracking, and ethical questions.
8 min read
Assists in football were not officially tracked until the 1990s. We explain why football took so long to embrace the metric, the Opta-era arrival, and the modern xA evolution.
7 min read
Opta Power Rankings rate 13,000+ men's clubs globally on a 0-1000 scale. We explain the methodology, the inputs, what they predict, and how they compare to other rating systems.
7 min read
FBref is the free football statistics site owned by Sports Reference, powered by Opta data. We explain what it covers, how to use it, and where it beats paid alternatives.
7 min read
StatsBomb IQ is a paid football analytics platform used by elite clubs and analysts. We explain its features (events, 360, OBV, scouting), pricing tiers, and who should use it.
8 min read
Possession % is calculated three different ways depending on the data provider — by passing time, by ball-touch time, or by event count. We explain each method and why broadcast figures vary.
7 min read
Fotmob's player ratings (0-10) blend WhoScored's rating engine with Fotmob's own contextual adjustments. We explain the inputs, weightings, and where the numbers can mislead.
7 min read
Sofascore is great but limited. We compare the best alternatives — Fotmob, FBref, FlashScore, OneFootball, KiqIQ, and StatsBomb — across coverage, depth, and use case.
8 min read
FootyStats Premium is a paid football data subscription. We compare it to free alternatives (FBref, Sofascore, Fotmob) and to paid competitors (StatsBomb, Opta), and explain who should pay.
7 min read
Post-shot expected goals (xGOT) measures the quality of a shot after it leaves the boot. We explain xGOT vs xG, how it is calculated, and how to use it.
9 min read
Football shot maps visualise every shot in a match or season — distance, angle, xG, body part, outcome. We break down how to read them and what they reveal.
8 min read
Football pass maps come in three flavours: pass network (team shape), pass sonar (direction tendencies), and receiver map (where a player gets the ball). We explain each.
10 min read
Stat padding in football is when a player accumulates inflated counting stats in low-leverage situations. We explain how it works, how to spot it, and why advanced metrics catch it.
7 min read
Modern football is described by 2,000+ tracked metrics — from xG to PPDA to OBV. We explain the structure of football's metric vocabulary, how it grew, and how to navigate it.
8 min read
FIFA's 2026 World Cup will use 3D player avatars and Semi-Automated Offside Technology (SAOT) for broadcast graphics and refereeing. We explain both, the data backbone, and the implications.
7 min read
Build a 2D football game in Python with Pygame. We cover pitch rendering, player sprites, movement logic, ball physics, and goal detection from scratch — no game-engine experience needed.
8 min read
Best free football stats database — and where KiqIQ adds value
Shot-level xG and rolling models — complementary tools
Enterprise event data vs consumer decision layer
Pro-grade event data and the public Open Data repository
Scouting platform with full match video — different layer of stack
Stats subscription vs free decision layer
Full Poisson + adjustments + EV framework
6 pillars of the analytical framework
The decision rule of value-based analysis
End-to-end Poisson worked example
Stake sizing under uncertainty
Why short-term outcomes are weak signals
How long until results mean something
