How good are these forecasts?

Every forecast scored on seasons the model never saw while its settings were chosen.

Held-back seasons

ForecastForecastsLog lossFavourite won
The model990.66757%
Base rate990.69456%
Recent form990.66758%

Against the betting markets

Each market's price before the start, scored on the same finished games as the model. A negative figure means the market was more accurate.

MarketSincePricedModel log lossMarket log lossModel vs market
Bookmakers (Pinnacle, DraftKings, bet365)21 Jul 2026340.6750.656−2.8%
Polymarket22 Jul 2026320.6700.653−2.6%

A team's home ground is the city it plays in most; it gets home advantage there and nowhere else. Matches abandoned without a result are left out.

A win by wickets is turned into runs (about eight a wicket) so the size of a win can move the rating.

The next season's fixtures appear once the ECB publishes them; until then the page shows how the last season finished and the ratings carry over.

Manchester Originals, Northern Superchargers and Oval Invincibles are rated as the clubs they became in 2026 (Manchester Super Giants, Sunrisers Leeds, MI London).

Tested on the held-back seasons of the five franchise leagues together (566 matches) and left out, because none beat the ratings alone: player ratings from every men's T20 match (runs above average with bat and ball, or an Elo for each player's XI, which follows a player between leagues), the share of a side's XI kept from last season (what auctions and retentions change), one set of model settings for every league, and counting balls to spare as well as wickets in a chase's winning margin.

The toss isn't in the model: its winner went on to win 52% of these leagues' matches, but it is decided half an hour before the start, after the forecast is made, and on the held-back seasons it helped by less than the noise.

Cricsheet adds matches a few days after they're played, so the latest result can lag.

Questions and answers

How accurate are PodiumOracle's The Hundred predictions?

On 99 games from held-back seasons (2024 to 2026), which the model never saw while it was tuned, the side it favoured won 57% of the time. Its log loss was 0.667, against 0.694 for the base rate and 0.667 for recent form. Against the betting markets on the same finished games, its log loss was 0.675 against the bookmakers' 0.656 over 34 games and 0.670 against Polymarket's 0.653 over 32 games (lower is better).