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Squad

Bristol City squad 2026/2027

Championship · 12 matches played

Bristol City's 2026/2027 squad, ranked by minutes played. Compare goals, assists, xG, xA and expected goal involvement across the squad.

Top scorer 3 Scott Twine · from 2.31 xG
Most xG 3.73 Dominic Ballard · 3 goals
Most xA 3.22 Rio Cardines · 6 assists
Most xGI 4.15 Dominic Ballard · 3.73 xG + 0.42 xA

What the squad numbers say

Dominic Ballard leads the squad for expected goal involvement, with 4.15: 3.73 expected goals and 0.42 expected assists. The top scorer is Scott Twine, with 3 goals from 2.31 expected goals. Rio Cardines leads the squad for expected assists, with 3.22, against 6 assists.

Expected goals

  1. 2 Lorent Tolaj 2.56
  2. 3 Scott Twine 2.31

Expected assists

  1. 1 Rio Cardines 3.22
  2. 2 Jason Knight 0.76
  3. 3 George Tanner 0.59

Expected goal involvement

  1. 2 Rio Cardines 3.35
  2. 3 Scott Twine 2.83

Goals above xG

Scott Twine +0.69

3 goals · 2.31 xG

Goals below xG

Dominic Ballard −0.73

3 goals · 3.73 xG

Taken over players with at least 180 minutes and 2.00 expected goals, so the gap is measured against chances actually taken rather than against one afternoon of them.

The squad

Every player with a season at this club: appearances, starts, minutes, goals, assists and the chances behind them.
Player POS APP ST MIN MIN% G A xG xA xGI
Jason Knight Midfielder 12 12 1050 97% 1 0 0.60 0.76 1.36
Sam Tickle Goalkeeper 11 11 990 92% 0 0 0.00 0.02 0.02
Rio Cardines Defender 12 10 937 87% 0 6 0.13 3.22 3.35
Lisav Naif Eissat Defender 10 9 778 72% 1 0 0.44 0.15 0.59
George Tanner Defender 10 9 750 69% 0 0 0.24 0.59 0.83
Yu Hirakawa Forward 11 9 703 65% 1 0 1.47 0.55 2.02
Dominic Ballard Forward 12 7 664 61% 3 0 3.73 0.42 4.15
Scott Twine Forward 9 9 657 61% 3 0 2.31 0.52 2.83
Rob Dickie Defender 7 7 616 57% 1 0 0.52 0.15 0.67
Lorent Tolaj Forward 9 8 615 57% 2 1 2.56 0.20 2.76
Joe Williams Midfielder 8 6 577 53% 0 0 0.56 0.25 0.81
Cameron Pring Defender 10 5 532 49% 0 0 0.01 0.34 0.35
Jed Wallace Midfielder 11 5 496 46% 0 1 0.29 0.56 0.85
Robert Atkinson Defender 7 5 465 43% 0 0 0.11 0.28 0.39
Gibson Yah Midfielder 9 5 439 41% 0 0 0.88 0.08 0.96
Sam Greenwood Midfielder 10 4 377 35% 0 0 0.46 0.28 0.74
Luke McNally Defender 3 3 270 25% 0 0 0.07 0.01 0.08
Adam Randell Midfielder 5 4 263 24% 0 0 0.03 0.27 0.30
Noah Eile Defender 3 2 159 15% 0 0 0.02 0.06 0.08
Brian De Keersmaecker Midfielder 4 1 134 12% 0 0 0.09 0.39 0.48
Elijah Adebayo Forward 6 0 109 10% 0 0 0.23 0.06 0.29
Tomi Horvat Midfielder 5 0 98 9% 0 0 0.10 0.13 0.23
Brad Collins Goalkeeper 1 1 90 8% 0 0 — 0.00 —
Sam Bell Forward 5 0 82 8% 0 0 0.02 0.01 0.03
Emil Riis Jacobsen Forward 1 0 26 2% 0 0 0.00 0.00 0.00

Rates per ninety minutes are shown for a player with at least 270 minutes behind him — the control above moves that floor, and it moves nothing else. Minutes share is a player's minutes against the 12 matches this club has played in this competition, at ninety minutes each. Expected goals, non-penalty expected goals and expected assists are summed from this competition's per-match feed, so a player it holds no figures for carries a dash rather than a nought.

About the data

Where these figures come from, and what they leave out

Data source
Where the per-match feed covers Championship, every figure on a row — appearances, starts, minutes, goals, assists, shots, and the expected goals, expected assists and non-penalty expected goals beside them — is summed from it over the matches he played for this club. Where it does not, the counts are the provider's season line. Championship only — no figure here adds two competitions together.
Calculated by xgEdge
xGI, the per-90 rates, goals minus expected goals, xGI share and minutes share are worked out here from those figures. Nothing on this page is a model's output.
Missing data
A dash means a figure was not measured; a nought means it was measured and came to nothing. Per-90 figures are hidden below the minimum-minutes setting, which opens at 270 and never removes a row.

How every figure on this site is made →

How the model works →