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Sunday, 13/09/2026 at 15:00

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Match report · Serie A

Lecce 3:2 Monza

Lecce Home 1.08 xG · 7 shots
Monza Away 2.79 xG · 19 shots
32 The result went against the chances

Monza were the model's likeliest winner before kick-off at 44%. Lecce won 3–2. The biggest difference was Monza's attack: 2.79 xG against 1.35 projected (+1.44).

Goals

  1. 3' Lassana Coulibaly Lecce · 0.08 xG chance 1–0
  2. 11' Tiago Gabriel Lecce · 0.15 xG chance 2–0
  3. 20' Ricardo Mangas Monza · 0.95 xG chance 2–1
  4. 21' Lassana Coulibaly Lecce · 0.37 xG chance 3–1
  5. 89' Exequiel Zeballos Monza · 0.04 xG chance 3–2

The model against the result

priced before kick-off
Lecce
24% What happened
Draw
32%
Monza
44%

Data coverage One of these teams has only 3 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.

Projected vs produced

Expected goals
Lecce The model projected 0.96 Produced 1.08 Difference +0.12
Monza The model projected 1.35 Produced 2.79 Difference +1.44

Monza produced 1.44 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Lecce Monza
Shots
7
19
On target
3
10
Inside the box
6
14
xG per shot
0.15
0.15
Open play xG
0.09
2.23
Set-piece xG
0.97
0.65
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: 1.08 for Lecce and 2.85 for Monza.

Shot map

Both teams shown attacking the same goal for comparison.

Monza · Ricardo Mangas · 20' · Goal · 4 m · 0.95 xG Monza · Lorenzo Lucchesi · 9' · No goal · 3 m · 0.44 xG Lecce · Lassana Coulibaly · 21' · Goal · 3 m · 0.37 xG Monza · Jay Robinson · 17' · No goal · 8 m · 0.32 xG Lecce · Lassana Coulibaly · 21' · No goal · 7 m · 0.29 xG Monza · Andrea Colpani · 25' · No goal · 9 m · 0.23 xG Monza · Gustavo Varela · 17' · No goal · 8 m · 0.18 xG Lecce · Tiago Gabriel · 11' · Goal · 6 m · 0.15 xG Monza · Andrea Colpani · 17' · No goal · 8 m · 0.13 xG Monza · Gustavo Varela · 31' · No goal · 8 m · 0.11 xG Monza · Jay Robinson · 33' · No goal · 16 m · 0.09 xG Lecce · Lassana Coulibaly · 3' · Goal · 7 m · 0.08 xG Lecce · Youssef Maleh · 48' · No goal · 10 m · 0.08 xG Monza · Patrick Cutrone · 79' · No goal · 6 m · 0.08 xG Monza · Patrick Cutrone · 87' · No goal · 17 m · 0.08 xG Lecce · Youssef Maleh · 53' · No goal · 15 m · 0.06 xG Monza · Andrea Colpani · 35' · No goal · 24 m · 0.05 xG Monza · Adam Bakoune · 67' · No goal · 10 m · 0.05 xG Monza · Jay Robinson · 57' · No goal · 20 m · 0.04 xG Monza · Exequiel Zeballos · 89' · Goal · 18 m · 0.04 xG Monza · Samuele Birindelli · 63' · No goal · 15 m · 0.03 xG Lecce · Amar Fatah · 80' · No goal · 24 m · 0.03 xG Monza · Michael Folorunsho · 39' · No goal · 10 m · 0.02 xG Monza · Mathis Mout · 90' · No goal · 27 m · 0.02 xG Monza · Andrea Carboni · 90' · No goal · 12 m · 0.01 xG Monza · Exequiel Zeballos · 90' · No goal · 21 m · 0.01 xG

All shots

26 shots · 3.94 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match
Lecce

1.26 xG created 2.06 xGA

  • L 0.88 created, 2.29 conceded against Juventus
  • W 1.26 created, 2.45 conceded against Sassuolo
  • W 1.43 created, 0.68 conceded against Genoa
  • W 2.70 created, 2.05 conceded against Venezia
  • L 0.80 created, 3.27 conceded against Roma
  • L 0.50 created, 1.61 conceded against Cagliari
Monza

1.55 xG created 0.92 xGA

  • L 1.23 created, 1.05 conceded against Inter
  • L 1.70 created, 0.98 conceded against Udinese
  • D 1.72 created, 0.73 conceded against Parma

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

Pre-match model & market record

8 opportunities flagged4 won4 lost

  • Lost
  • Won
  • Lost
  • Lost
  • Won
  • Won
  • Won
  • Lost
View pre-match record
The outcomes the model flagged on Lecce against Monza before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Monza to win 2.70 +18.2% Lost
Monza 2+ goals 2.75 +9.8% Won
Lecce at most 1 goal 1.40 +5.1% Lost
Lecce not to score 3.00 +4.8% Lost
Monza to score 1.36 +4.7% Won
Both teams to score 1.95 +1.1% Won
Over 1.5 goals 1.40 +0.2% Won
Draw 3.10 +0.1% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Lecce 23.9% 34.4% −10.5 pp 4.18
Draw 32.3% 30.5% +1.8 pp 3.10
Monza 43.8% 35.1% +8.7 pp 2.28

Other markets

Outcome Model Market Difference Fair odds
Lecce to score 65.1% 68.7% −3.7 pp 1.54
Lecce not to score 34.9% 31.3% +3.7 pp 2.86
Monza to score 76.7% 68.7% +8.0 pp 1.30
Monza not to score 23.3% 31.3% −8.0 pp 4.30
Both teams to score 51.9% 48.0% +3.9 pp 1.93
Both teams not to score 48.1% 52.0% −3.9 pp 2.08
Lecce 2+ goals 24.9% 33.7% −8.8 pp 4.01
Lecce at most 1 goal 75.1% 66.3% +8.8 pp 1.33
Monza 2+ goals 39.9% 33.7% +6.2 pp 2.50
Monza at most 1 goal 60.1% 66.3% −6.2 pp 1.66
Over 1.5 goals 71.6% 68.2% +3.4 pp 1.40
Under 1.5 goals 28.4% 31.8% −3.4 pp 3.52
Over 2.5 goals 41.4% 41.3% +0.1 pp 2.42
Under 2.5 goals 58.6% 58.7% −0.1 pp 1.71

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

· 1 warning
Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Lecce sample
20 matches
Monza sample
3 matches
Computed
5 hours before kick-off
Prices taken
5 hours before kick-off

Warnings

  • Monza has only 3 matches in the database. Below 10 matches the estimate is very unreliable.

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.