The same day's predictions, grouped by competition rather than by market or kick-off time. Each group carries the fixtures we have published a pick for in that league, with the market and the price for each.
Only competitions with published predictions for the day appear. A league with no fixtures, or with fixtures the feed has no usable data for, is not listed.
Scoring rates, home advantage and draw frequency vary substantially between competitions, and a goal line that is generous in one league is tight in another. Reading fixtures by league rather than in one long list makes that context visible.
Competitions with fewer matches played, smaller squads or more rotation are also inherently less predictable, and a model probability in such a league carries more uncertainty than the same number elsewhere.
Coverage follows the licensed feed. Where a competition is covered, it is covered with the same procedure as every other — no league gets a different standard of evidence.
If a fixture has no data, the row reads NO MARKET rather than carrying an estimate. That is deliberate and it applies everywhere on the site.
Most readers arrive knowing one or two competitions well and nothing about the rest. The useful habit is to check the league's own baseline before judging a pick in it: how many goals a typical match produces, how often the home side wins, how often matches end level. A probability that looks conservative in a high-scoring league is aggressive in a low-scoring one.
Squad depth is the other thing that separates competitions. In leagues where the leading clubs carry two players for every position, a single absence barely moves a fixture. In leagues where they do not, one missing forward can be the difference between an open match and a flat one — and the feed reports that absence the same way in both cases.
Fixture congestion is worth a glance too. A side playing its third match in eight days behaves differently from the same side after a free week, and that is not visible anywhere in a league table.
Grouping by competition is the better view if you follow one or two leagues closely, because it puts every pick for that league together with the market each fixture was routed to. The markets overview shows the same day organised the other way, by market rather than competition.
Scoring rates, home advantage and draw frequency vary substantially between competitions, so this grouping is also the quickest way to sanity-check a pick. An over 2.5 selection in a high-scoring league and the same selection in a defensive one are not the same proposition, and the price does not always reflect the difference.
For the reasoning behind any individual fixture, the match insight carries the form, head-to-head and team news that drove it.
Coverage follows the licensed data feed. Where a competition is covered, it is covered with the same procedure as every other — no league gets a different standard of evidence, and none gets a prediction the data does not support. Where a fixture has no usable data, the row reads NO MARKET rather than carrying an estimate.
Smaller competitions carry more uncertainty for reasons that are structural rather than fixable. Fewer matches played means noisier form; heavier rotation means the side that starts is less predictable; thinner data coverage means the inputs themselves are less reliable. A model probability in such a league deserves more caution than the same number in a major competition.
The methodology page sets out which inputs are used and what happens when they are missing.