xgEdge

Sunday, 13/09/2026 at 17:30

Full time
Match report · Premier League

Manchester United 0:1 Manchester City

Manchester United Home 1.00 xG · 16 shots
Manchester City Away 1.10 xG · 6 shots
01 The chances were evenly matched

Manchester United were the model's likeliest winner before kick-off at 40%. Manchester City won 1–0. The biggest difference was Manchester United's attack: 1.00 xG against 1.60 projected (−0.60). Manchester City produced 1.10 xG against 1.44 projected (−0.34).

Goals

  1. 60' Erling Haaland Manchester City · 0.46 xG chance 0–1

The model against the result

priced before kick-off
Manchester United
40%
Draw
28%
Manchester City
32% What happened

Data coverage Both teams have the full 20-match model window available.

Projected vs produced

Expected goals
Manchester United The model projected 1.60 Produced 1.00 Difference -0.60
Manchester City The model projected 1.44 Produced 1.10 Difference -0.34

Manchester United produced 0.60 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Manchester United Manchester City
Shots
16
6
On target
3
2
Inside the box
6
2
xG per shot
0.06
0.17
Open play xG
0.78
0.64
Set-piece xG
0.21
0.35
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 0.95 for Manchester United and 0.99 for Manchester City.

Shot map

Both teams shown attacking the same goal for comparison.

Manchester City · Erling Haaland · 60' · Goal · 3 m · 0.46 xG Manchester United · Bryan Mbeumo · 90' · No goal · 12 m · 0.43 xG Manchester City · Erling Haaland · 76' · No goal · 9 m · 0.29 xG Manchester City · Enzo Fernández · 69' · No goal · 19 m · 0.13 xG Manchester United · Benjamin Šeško · 71' · No goal · 26 m · 0.06 xG Manchester United · Harry Maguire · 86' · No goal · 8 m · 0.06 xG Manchester City · Enzo Fernández · 3' · No goal · 21 m · 0.05 xG Manchester United · Marcus Rashford · 52' · No goal · 6 m · 0.05 xG Manchester United · Bryan Mbeumo · 73' · No goal · 9 m · 0.05 xG Manchester United · Matheus Cunha · 11' · No goal · 24 m · 0.04 xG Manchester City · Rayan Cherki · 27' · No goal · 20 m · 0.04 xG Manchester United · Marcus Rashford · 45' · No goal · 28 m · 0.04 xG Manchester United · Matheus Cunha · 56' · No goal · 15 m · 0.04 xG Manchester United · Matheus Cunha · 86' · No goal · 23 m · 0.04 xG Manchester United · Lisandro Martínez · 7' · No goal · 20 m · 0.03 xG Manchester United · Marcus Rashford · 21' · No goal · 14 m · 0.03 xG Manchester United · Kobbie Mainoo · 51' · No goal · 23 m · 0.03 xG Manchester United · Bruno Fernandes · 70' · No goal · 22 m · 0.03 xG Manchester United · Harry Maguire · 42' · No goal · 25 m · 0.02 xG Manchester United · Diogo Dalot · 47' · No goal · 23 m · 0.02 xG Manchester United · Bryan Mbeumo · 55' · No goal · 19 m · 0.02 xG Manchester City · Joško Gvardiol · 83' · No goal · 26 m · 0.02 xG

All shots

22 shots · 1.98 xG

Hover, focus or tap a shot to read it.

  • Manchester United
  • Manchester City
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Manchester United

2.32 xG created 1.37 xGA

  • D 0.62 created, 1.25 conceded against Sunderland
  • W 4.57 created, 1.88 conceded against Nottingham Forest
  • W 1.66 created, 0.79 conceded against Brighton & Hove Albion
  • L 1.81 created, 1.26 conceded against Hull City
  • W 4.56 created, 2.01 conceded against Ipswich Town
  • D 0.69 created, 1.01 conceded against Everton
Manchester City

1.84 xG created 1.24 xGA

  • W 1.66 created, 0.73 conceded against Crystal Palace
  • D 1.48 created, 2.25 conceded against Bournemouth
  • L 1.34 created, 1.77 conceded against Aston Villa
  • W 2.25 created, 0.65 conceded against Bournemouth
  • W 2.21 created, 0.66 conceded against Crystal Palace
  • W 2.12 created, 1.37 conceded against Coventry City

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Manchester United: 1 won · 0 drawn · 1 lost

Pre-match model & market record

6 opportunities flagged1 won5 lost

  • Lost
  • Lost
  • Won
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on Manchester United against Manchester City before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Manchester United to win 3.10 +22.7% Lost
Manchester City not to score 5.50 +16.0% Lost
Manchester City at most 1 goal 2.00 +13.2% Won
Draw 3.75 +5.6% Lost
Manchester United 2+ goals 2.10 +2.8% Lost
Manchester United to score 1.22 +0.5% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Manchester United 39.6% 30.9% +8.7 pp 2.53
Draw 28.2% 25.5% +2.6 pp 3.55
Manchester City 32.3% 43.5% −11.3 pp 3.10

Other markets

Outcome Model Market Difference Fair odds
Manchester United to score 82.2% 76.6% +5.6 pp 1.22
Manchester United not to score 17.8% 23.4% −5.6 pp 5.62
Manchester City to score 78.9% 82.8% −3.9 pp 1.27
Manchester City not to score 21.1% 17.2% +3.9 pp 4.74
Both teams to score 66.4% 64.5% +1.9 pp 1.51
Both teams not to score 33.6% 35.5% −1.9 pp 2.98
Manchester United 2+ goals 48.9% 44.3% +4.7 pp 2.04
Manchester United at most 1 goal 51.1% 55.7% −4.7 pp 1.96
Manchester City 2+ goals 43.4% 53.7% −10.3 pp 2.31
Manchester City at most 1 goal 56.6% 46.3% +10.3 pp 1.77
Over 1.5 goals 84.4% 81.1% +3.4 pp 1.18
Under 1.5 goals 15.6% 18.9% −3.4 pp 6.43
Over 2.5 goals 60.3% 62.0% −1.6 pp 1.66
Under 2.5 goals 39.7% 38.0% +1.6 pp 2.52

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Manchester United sample
20 matches
Manchester City sample
20 matches
Computed
7 hours before kick-off
Prices taken
7 hours before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.