Two of the most detailed pieces in this week's sports technology pile are not about sports at all: one is a benchmark of how well AI models do analytical work, the other is a self-hosted replacement for Google Analytics. The sports angle is thinner than the headlines suggest.
Wimbledon's electronic line judging produced two embarrassing errors in 2025, yet player challenges were overturned less than 25% of the time, according to IBM data cited by the Guardian. The gap between human and machine accuracy is the uncomfortable fact at the centre of the sports data boom.
Apple's bare scoreboard app, launched in early 2024, has become one of the most useful sports products on the iPhone precisely because it refuses to do analytics. The rest of the sports data industry is moving the other way.
Apple's Sports app, open sourced GA4 dashboards and agentic data analysis all land in the same conversation about sports technology analytics, but the dossier behind this piece is thin on hard sports data. Here is what the sources do and do not establish.
Apple's Sports app has almost no features, no news feed and no engagement mechanics. Slate's June review argues that its speed, not its data science, is what makes it work.
Apple's Sports app, which Slate called one of its author's favourite consumer tech products of the past two years, does almost nothing beyond scores and standings. Meanwhile vendors are promising 76% faster replication and a $144.63 billion sports technology market by 2035.
In its documentation for semi-automated offside, FIFA wrote that it is the exclusive owner of tracking data and ball data. That sentence is worth reading twice.
The tournament in Tokoname, Aichi Prefecture, has drawn 537 players from 29 countries. Play runs from 22 September to 2 October. The Olympic Council of Asia spent more than two years settling on the list of titles.
Tencent Esports will run all eleven esports events at the 20th Asian Games on its ECS system. At the Hangzhou Games the same technology handled 217 matches without a single incident.
The settlement in House v. NCAA, given final approval in June 2025, let US universities share revenue with athletes. The sums run into tens of millions per institution.
The Australian company that started with a project at the Institute of Sport now sells Real Madrid and Chelsea a way to measure training load, plus an indoor positioning system built with CSIRO.
A Chinese sports-market analysis offers numbers that explain why broadcasting has become part of the measurement infrastructure: an F1 car carries more than 300 sensors and generates over 1.1 million data points per second.
Clubs now judge players by metrics that algorithms calculate, from expected goals to defensive pressure indices. A Chinese review of the market shows where the models come apart.
IFAB cleared goal-line measurement in July 2012. A year later the Premier League was paying 15,000 pounds per club and a quarter of a million per stadium. The system still failed once.
The Chinese Football Association and the league organisers have announced that from the 2027 season referees will publicly explain their decisions at every Super League match, and the league wants to add semi-automated offside.
FIFA's semi-automated offside system runs on twelve cameras under the stadium roof and a ball with an inertial sensor that sends data 500 times per second.
Since the 2023/24 season the league has used optical 3D tracking from Hawk-Eye, a Sony company. It is the first system of its kind in the NBA, and the plan is for it to automate some refereeing decisions.
English clubs agreed to the system unanimously on 11 April 2024, but it only launched during the season. The league expects offside calls to come more than 30 seconds faster on average.