xgEdge

Sunday, 13/09/2026 at 20:45

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Match report · Serie A

Sassuolo 3:2 Juventus

Sassuolo Home 1.02 xG · 10 shots
Juventus Away 1.10 xG · 18 shots
32 The chances were evenly matched

Juventus were the model's likeliest winner before kick-off at 50%. Sassuolo won 3–2. The biggest difference was Juventus's attack: 1.10 xG against 1.61 projected (−0.51).

Goals

  1. 65' Sebastiano Esposito Sassuolo · 0.21 xG chance 1–0
  2. 82' Edon Zhegrova Juventus · 0.30 xG chance 1–1
  3. 89' Kieron Bowie Sassuolo · 0.09 xG chance 2–1
  4. 90' Vasilije Adžić Sassuolo · 0.20 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
  5. 90' Edon Zhegrova Juventus · 0.05 xG chance – Scored in the same minute as another goal, so the score after it is not shown.

The model against the result

priced before kick-off
Sassuolo
21% What happened
Draw
29%
Juventus
50%

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

Projected vs produced

Expected goals
Sassuolo The model projected 1.02 Produced 1.02 Difference +0.00
Juventus The model projected 1.61 Produced 1.10 Difference -0.51

Juventus produced 0.51 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Sassuolo Juventus
Shots
10
18
On target
6
8
Inside the box
6
11
xG per shot
0.09
0.06
Open play xG
0.86
0.89
Set-piece xG
0.02
0.12
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: 0.90 for Sassuolo and 1.01 for Juventus.

Shot map

Both teams shown attacking the same goal for comparison.

Juventus · Edon Zhegrova · 82' · Goal · 13 m · 0.30 xG Sassuolo · Domenico Berardi · 27' · No goal · 10 m · 0.24 xG Sassuolo · Sebastiano Esposito · 65' · Goal · 11 m · 0.21 xG Sassuolo · Vasilije Adžić · 90' · Goal · 13 m · 0.20 xG Juventus · Teun Koopmeiners · 33' · No goal · 19 m · 0.10 xG Sassuolo · Kieron Bowie · 89' · Goal · 16 m · 0.09 xG Juventus · Douglas Luiz · 69' · No goal · 19 m · 0.08 xG Juventus · Kerim Alajbegović · 86' · No goal · 12 m · 0.08 xG Juventus · Nick Woltemade · 80' · No goal · 10 m · 0.07 xG Juventus · Nick Woltemade · 84' · No goal · 4 m · 0.07 xG Sassuolo · Domenico Berardi · 47' · No goal · 22 m · 0.06 xG Juventus · Nicolás González · 59' · No goal · 16 m · 0.05 xG Juventus · Edon Zhegrova · 90' · Goal · 16 m · 0.05 xG Sassuolo · Sebastiano Esposito · 37' · No goal · 27 m · 0.03 xG Juventus · Kerim Alajbegović · 46' · No goal · 24 m · 0.03 xG Juventus · Kerim Alajbegović · 64' · No goal · 16 m · 0.03 xG Juventus · Zeki Çelik · 79' · No goal · 19 m · 0.03 xG Juventus · Kerim Alajbegović · 84' · No goal · 10 m · 0.03 xG Sassuolo · Josh Doig · 36' · No goal · 7 m · 0.02 xG Juventus · Kerim Alajbegović · 61' · No goal · 25 m · 0.02 xG Juventus · Randal Kolo Muani · 79' · No goal · 7 m · 0.02 xG Juventus · Edon Zhegrova · 80' · No goal · 13 m · 0.02 xG Juventus · Kerim Alajbegović · 20' · No goal · 16 m · 0.01 xG Sassuolo · Josh Doig · 41' · No goal · 28 m · 0.01 xG Sassuolo · Domenico Berardi · 43' · No goal · 27 m · 0.01 xG Juventus · Francisco Conceição · 45' · No goal · 17 m · 0.01 xG Juventus · Nicolás González · 47' · No goal · 25 m · 0.01 xG Sassuolo · Jay Idzes · 54' · No goal · 14 m · 0.01 xG

All shots

28 shots · 1.89 xG

Hover, focus or tap a shot to read it.

  • Sassuolo
  • Juventus
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Sassuolo

1.96 xG created 1.61 xGA

  • L 2.24 created, 3.26 conceded against Torino
  • L 2.45 created, 1.26 conceded against Lecce
  • L 0.91 created, 1.12 conceded against Parma
  • L 2.70 created, 0.88 conceded against Atalanta
  • W 1.85 created, 1.26 conceded against Torino
  • D 1.62 created, 1.88 conceded against Bologna
Juventus

1.92 xG created 0.49 xGA

  • W 2.29 created, 0.88 conceded against Lecce
  • L 1.98 created, 0.47 conceded against Fiorentina
  • D 1.92 created, 0.85 conceded against Torino
  • W 2.18 created, 0.41 conceded against Frosinone
  • W 1.58 created, 0.25 conceded against Parma
  • D 1.59 created, 0.11 conceded against Milan

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

Head to head

Sassuolo: 0 won · 1 drawn · 1 lost

Pre-match model & market record

6 opportunities flagged3 won3 lost

  • Lost
  • Won
  • Won
  • Lost
  • Won
  • Lost
View pre-match record
The outcomes the model flagged on Sassuolo against Juventus before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Draw 3.90 +13.2% Lost
Sassuolo to score 1.53 +2.1% Won
Both teams to score 1.80 +1.8% Won
Juventus at most 1 goal 2.00 +1.5% Lost
Sassuolo 2+ goals 3.75 +1.1% Won
Under 2.5 goals 2.00 +0.2% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Sassuolo 21.0% 19.7% +1.3 pp 4.75
Draw 29.0% 24.0% +5.0 pp 3.44
Juventus 49.9% 56.2% −6.3 pp 2.00

Other markets

Outcome Model Market Difference Fair odds
Sassuolo to score 66.6% 60.8% +5.8 pp 1.50
Sassuolo not to score 33.4% 39.2% −5.8 pp 2.99
Juventus to score 82.4% 82.8% −0.4 pp 1.21
Juventus not to score 17.6% 17.2% +0.4 pp 5.68
Both teams to score 56.6% 52.0% +4.6 pp 1.77
Both teams not to score 43.4% 48.0% −4.6 pp 2.30
Sassuolo 2+ goals 27.0% 25.0% +2.0 pp 3.71
Sassuolo at most 1 goal 73.0% 75.0% −2.0 pp 1.37
Juventus 2+ goals 49.2% 53.7% −4.4 pp 2.03
Juventus at most 1 goal 50.8% 46.3% +4.4 pp 1.97
Over 1.5 goals 77.8% 76.2% +1.6 pp 1.29
Under 1.5 goals 22.2% 23.8% −1.6 pp 4.50
Over 2.5 goals 49.9% 52.6% −2.7 pp 2.00
Under 2.5 goals 50.1% 47.4% +2.7 pp 2.00

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)
Sassuolo sample
20 matches
Juventus sample
20 matches
Computed
11 hours before kick-off
Prices taken
11 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.