Premier League 26/27

Fulham v Tottenham

The SharpXI model's read on Fulham v Tottenham — modelled probabilities for the player and team markets that matter in the bet builder, ranked by confidence.

Match officials

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

In-form players

Going into Fulham v Tottenham on Wed 6 Jan: Gonzalo García (Fulham) leads the home side for 1+ shots — 9 of 10 (90%); Omar Marmoush (Tottenham) tops the visitors on 10 of 10 (100%). Raw hit rates from recent matches, not odds.

See the full player stats board~~Both likely XIs side by side — hit rates over your chosen window, add to your slip~~ › Open the Foul Map~~Both elevens on a pitch — fouls won, fouls committed, and the areas most likely to see contact~~ › Open the Shot Map~~Both elevens on a pitch — who shoots, who hits the target, and what the two keepers face~~ ›

Player markets — the model's calls

Not priced yet

The model prices player markets once the lineup is known — usually about an hour before kick-off. Until then the pre-match player stats board above carries every player's hit rate for this fixture, from completed matches.

Team & match markets

Market	Line	Model
BTTS	Yes	51%
Match goals	O2.5	47%
Match cards	O4.5	30%

How these are modelled: BTTS Match cards

Dig deeper

Fulham & Tottenham player stats→ Fulham players & stats→ Tottenham players & stats→ Shots on target model→ To be carded model→ Guide: bet builder value→

Past meetings

Frequently asked

What is this Fulham v Tottenham page?

The model's read on the fixture: a modelled probability for each of the player and match markets that matter in a bet builder, ranked by how confident the model is. Once the game has been played, this same page shows what actually happened next to every call.

Is this a tip?

Graded in public, wins and losses alike. A probability is not advice and there is no price attached here — whether a market is worth backing depends on what the bookmaker is charging for it, which is the question the SharpXI tool answers rather than this page.

Where do the numbers come from?

Public match data for the teams and players involved, run through the same model used across the site — recent form shrunk toward the league average, adjusted for the opponent and the referee. The modelling guides explain each market in detail.

How accurate has the model been in the Premier League?

Every finished fixture on this site carries its own report card, and the season-long record for each market — the ones that beat a naive guess and the ones that don't — is on the track record page.

SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.

See the track record How the model works