xgEdge

Saturday, 29/08/2026 at 20:45

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Match report · Serie A

Juventus 2:0 Parma

Juventus Home 1.58 xG · 21 shots
Parma Away 0.25 xG · 4 shots
20 The scoreline reflected the chances

Juventus were the model's likeliest winner before kick-off at 68%. They won 2–0. The biggest difference was Parma's attack: 0.25 xG against 0.70 projected (−0.45). Juventus produced 1.58 xG against 2.00 projected (−0.42).

Goals

  1. 62' Nicolás González Juventus · 0.03 xG chance 1–0
  2. 88' Teun Koopmeiners Juventus · 0.05 xG chance 2–0

The model against the result

priced before kick-off
Juventus
68% What happened
Draw
22%
Parma
9%

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

Projected vs produced

Expected goals
Juventus The model projected 2.00 Produced 1.58 Difference -0.42
Parma The model projected 0.70 Produced 0.25 Difference -0.45

Parma produced 0.45 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Juventus Parma
Shots
21
4
On target
6
3
Inside the box
10
3
xG per shot
0.08
0.06
Open play xG
0.93
0.16
Set-piece xG
0.76
0.06
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: 1.69 for Juventus and 0.22 for Parma.

Shot map

Both teams shown attacking the same goal for comparison.

Juventus · Randal Kolo Muani · 70' · No goal · 5 m · 0.37 xG Juventus · Randal Kolo Muani · 70' · No goal · 7 m · 0.35 xG Juventus · Randal Kolo Muani · 56' · No goal · 12 m · 0.14 xG Juventus · Gleison Bremer · 61' · No goal · 8 m · 0.09 xG Juventus · Jhon Lucumí · 49' · No goal · 12 m · 0.08 xG Juventus · Randal Kolo Muani · 56' · No goal · 13 m · 0.07 xG Parma · David Romero · 85' · No goal · 15 m · 0.07 xG Parma · Christian Ordoñez · 13' · No goal · 13 m · 0.06 xG Juventus · Douglas Luiz · 26' · No goal · 19 m · 0.06 xG Juventus · Douglas Luiz · 42' · No goal · 9 m · 0.06 xG Parma · David Romero · 64' · No goal · 9 m · 0.06 xG Juventus · Francisco Conceição · 38' · No goal · 23 m · 0.05 xG Juventus · Jonathan David · 45' · No goal · 18 m · 0.05 xG Juventus · Douglas Luiz · 45' · No goal · 9 m · 0.05 xG Juventus · Teun Koopmeiners · 88' · Goal · 16 m · 0.05 xG Juventus · Douglas Luiz · 8' · No goal · 22 m · 0.04 xG Juventus · Douglas Luiz · 19' · No goal · 28 m · 0.04 xG Juventus · Jonathan David · 52' · No goal · 17 m · 0.04 xG Juventus · Nicolás González · 60' · No goal · 18 m · 0.03 xG Juventus · Nicolás González · 62' · Goal · 26 m · 0.03 xG Parma · David Romero · 64' · No goal · 27 m · 0.03 xG Juventus · Nicolás González · 83' · No goal · 28 m · 0.03 xG Juventus · Francisco Conceição · 33' · No goal · 25 m · 0.02 xG Juventus · Nicolás González · 62' · No goal · 30 m · 0.02 xG Juventus · Douglas Luiz · 90' · No goal · 18 m · 0.02 xG

All shots

25 shots · 1.91 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match
Juventus

1.92 xG created 0.59 xGA

  • D 0.52 created, 0.65 conceded against Milan
  • D 2.60 created, 0.30 conceded against Hellas Verona
  • 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
Parma

0.82 xG created 1.84 xGA

  • W 1.64 created, 1.71 conceded against Pisa
  • L 0.27 created, 2.09 conceded against Inter
  • L 0.73 created, 2.62 conceded against Roma
  • L 0.43 created, 2.77 conceded against Como
  • W 1.12 created, 0.91 conceded against Sassuolo
  • L 0.75 created, 0.94 conceded against Cagliari

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

Head to head

Juventus: 2 won · 0 drawn · 0 lost

Pre-match model & market record

7 opportunities flagged1 won6 lost

  • Lost
  • Lost
  • Lost
  • Won
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on Juventus against Parma before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Draw 6.25 +40.0% Lost
Parma to score 2.10 +11.1% Lost
Both teams to score 2.25 +8.5% Lost
Under 2.5 goals 2.20 +5.5% Won
Juventus at most 1 goal 2.75 +5.3% Lost
Parma 2+ goals 7.00 +2.4% Lost
Juventus not to score 9.00 +2.3% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Juventus 68.3% 75.5% −7.2 pp 1.46
Draw 22.4% 15.1% +7.3 pp 4.46
Parma 9.3% 9.4% −0.1 pp 10.77

Other markets

Outcome Model Market Difference Fair odds
Juventus to score 88.6% 89.4% −0.7 pp 1.13
Juventus not to score 11.4% 10.6% +0.7 pp 8.79
Parma to score 52.9% 44.3% +8.6 pp 1.89
Parma not to score 47.1% 55.7% −8.6 pp 2.12
Both teams to score 48.2% 41.1% +7.1 pp 2.07
Both teams not to score 51.8% 58.9% −7.1 pp 1.93
Juventus 2+ goals 61.7% 66.3% −4.5 pp 1.62
Juventus at most 1 goal 38.3% 33.7% +4.5 pp 2.61
Parma 2+ goals 14.6% 13.6% +1.0 pp 6.84
Parma at most 1 goal 85.4% 86.4% −1.0 pp 1.17
Over 1.5 goals 79.0% 78.0% +1.0 pp 1.27
Under 1.5 goals 21.0% 22.0% −1.0 pp 4.75
Over 2.5 goals 52.1% 56.9% −4.8 pp 1.92
Under 2.5 goals 47.9% 43.1% +4.8 pp 2.09

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)
Juventus sample
20 matches
Parma 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.