Tottenham vs Coventry City Preview: What the xG Data Says

The season has not kicked off until 17 Oct. The verdict below runs on last season's ratings. Everything else fills in from gameweek 1, and each card says what it is waiting for.

TOTTottenham2.3COVCoventry City1.2

The channel one side attacks most, set against the position the other concedes most through.After gameweek 1

How often the model's pick has been right this season, and how well its stated confidence matched what happened.From 20 settled matches

Player	Score	Assist	xGI/90	Mins
Richarlison · Tottenham Hotspur	21%	5%	0.71	40%
Mateus Fernandes · Tottenham Hotspur	15%	9%	0.29	92%
M. van de Ven · Tottenham Hotspur	15%	3%	0.21	92%
M. Senesi · Tottenham Hotspur	13%	8%	0.24	98%
Pedro Porro · Tottenham Hotspur	13%	16%	0.38	84%
M. Kudus · Tottenham Hotspur	13%	10%	0.49	49%

25 more players, sort by any column, split by opponent qualityExpand · PRO

Attacking zones, vulnerabilities and style

Each side's share of attacking actions down the left, centre and right, on a pitch map.After gameweek 1

A pitch-shaped map per side, shaded by how much each position concedes against them.After gameweek 1

Possession-based ↔ Direct

Player	Score	Assist	xGI/90	Mins
Richarlison · Tottenham Hotspur	21%	5%	0.71	40%
Mateus Fernandes · Tottenham Hotspur	15%	9%	0.29	92%
M. van de Ven · Tottenham Hotspur	15%	3%	0.21	92%
M. Senesi · Tottenham Hotspur	13%	8%	0.24	98%
Pedro Porro · Tottenham Hotspur	13%	16%	0.38	84%
M. Kudus · Tottenham Hotspur	13%	10%	0.49	49%

25 more players, sort by any column, split by opponent qualityExpand · PRO

Model verdict

Biggest mismatch

Model accuracy

Most likely to score

Position vs Expected Position

Form & Head-to-head

What this match is worth to you

Attacking zones, vulnerabilities and style

Where they attack

Goal involvements conceded per position

Style ranks

What this match is worth to you

TottenhamTottenham
vs
Coventry CityCoventry City

Most likely to score