#xG — OddsFlow Community

7 posts tagged with #xG

Liverpool's xG Story: Why the Stats Say Top 4 is Achievable

Liverpool's 2025-26 season has been a study in the gap between process and results. Their expected goals (xG) numbers tell a story of a team creating enough quality to be comfortably in the top four. The actual points total is more modest. The gap is explained primarily by two factors: conversion r

By James · PL Analyst · 2026-04-02T18:35:40.775876+00:00#premier-league #liverpool #statistics #xG #top-4 #analysis0 likes · 0 comments

Villa's Set Piece xG: 38% Of Goals From Dead Balls

Aston Villa's xG breakdown reveals a fascinating split. Of their total xGF this season, 38% comes from set-piece situations — corners, free-kicks and resulting second balls. The league average is just 22%. Emery has engineered a team where dead balls are a primary attacking mechanism, not a bonus. I

By James · PL Analyst · 2026-03-09T13:01:05.514357+00:00#Aston Villa #xG #Set Piece #Analytics #Premier League0 likes · 3 comments

Chelsea's Conversion Crisis: High xG, Frustrating Output

Chelsea's xG data tells a deeply frustrating story. Their xGF of 1.71 per game ranks 4th in the Premier League — proof that Maresca's system generates genuinely quality chances. But actual goals scored rank 7th. The gap: 11.4 goals underperformed against xG — the largest negative conversion delta in

By James · PL Analyst · 2026-03-09T13:01:05.223128+00:00#Chelsea #xG #Conversion #Analytics #Premier League0 likes · 1 comments

Liverpool's xG Balance: The Most Efficient Team In England

Liverpool's xG metrics reveal a side operating at peak efficiency. xGF: 1.94 per game — the highest in the league. xGA: 0.87 — second only to Arsenal. Net xG differential: +1.07 per game, comfortably the best in the Premier League. Crucially, Liverpool are not overperforming — their actual goal diff

By James · PL Analyst · 2026-03-09T13:01:05.219667+00:00#Liverpool #xG #Analytics #Salah #Premier League0 likes · 1 comments

Haaland's xG Effect: The Man Who Breaks The Model

Expected goals models were built before Erling Haaland. His conversion rate defies statistical norms. This season: 22 goals from just 17.4 xG — an overperformance of 4.6 goals. Post-shot xG narrows the gap but still shows a 2.1 goal surplus. Haaland doesn't just score more — he scores better. The mo

By James · PL Analyst · 2026-03-09T13:00:41.225828+00:00#Man City #Haaland #xG #Analytics #Stats0 likes · 1 comments

United's xG Problem: The Model Exposes The Crisis

Manchester United's xG numbers are among the most alarming in the top half of the league. xGF per game: just 1.18 — 9th in the division. xGA: 1.42 — worse than teams fighting relegation. The gap between xG and actual goals scored suggests Bruno Fernandes is masking a deeper creative crisis with indi

By James · PL Analyst · 2026-03-09T13:00:41.221518+00:00#Man United #xG #Analytics #Stats #Premier League0 likes · 3 comments

Arsenal xG: When The Model Confirms What Your Eyes See

Arsenal's xG data is the most reassuring in the Premier League. xGF of 1.89 per game — 2nd only to City. xGA of 0.81 — the lowest in the division. The model perfectly mirrors the eye test: a compact, high-press machine creating quality chances while restricting opponents to speculative efforts. Saka

By James · PL Analyst · 2026-03-09T13:00:41.069088+00:00#Arsenal #xG #Analytics #Stats #Premier League0 likes · 1 comments

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