Monza vs Atalanta: what the data says

Match data Moderate evidence Serie A Insight date · 2026-10-30 2026-11-08 ~ 2026-11-08

What is worth noting before kickoff?

What this page answers

A side-by-side look at both teams' last five matches: attack, defence, running and availability. It explains where each side has an edge before kickoff; it is not a win/draw/loss prediction.

The takeaway

Atalanta have the stronger underlying attack/defence, but Monza have taken more points recently.

  • Underlying goal difference (expected goals for minus against): Monza -0.47, Atalanta +0.22.
  • Points per game over the last five: Monza 1.20, Atalanta 0.80, opposite to the underlying signal.
  • Attack: Monza xG per match 1.66, 13.5 shots, 3.5 big chances created; Atalanta xG per match 2.23, 17.8 shots, 3.0 big chances created. Monza have the better conversion (2.20 vs 2.00).
  • Defence: expected goals conceded per match Monza 2.12, Atalanta 2.01; shots on target faced 7.8 vs 10.4, big chances faced 3.5 vs 3.0.

Each team's clearest edge

Home edge
Points per game 1.20 vs 0.80 · Edge 33.3%
Shots on target faced per match 7.8 vs 10.4 · Edge 25.5%
Goals conceded per match 2.00 vs 2.40 · Edge 16.7%

Largest relative gaps among the displayed metrics.

Away edge
xG per match 2.23 vs 1.66 · Edge 25.6%
Shots per match 17.8 vs 13.5 · Edge 24.2%
Big chances faced per match 3.0 vs 3.5 · Edge 14.3%

Largest relative gaps among the displayed metrics.

Head-to-head data

Monza Metric Atalanta
Results
1.20 Points per game 0.80
2.20 Goals per match 2.00
2.00 Goals conceded per match 2.40
1.04 Expected points per game 1.40
Attack
1.66 xG per match 2.23
13.5 Shots per match 4 / 5 matches with data 17.8
9.5 Shots on target per match 4 / 5 matches with data 11.0
3.5 Big chances created per match 4 / 5 matches with data 3.0
47.8% Possession 4 / 5 matches with data 47.0%
6.4 Deep completions per match 7.6
Defence
2.12 xGA per match 2.01
14.5 Shots faced per match 4 / 5 matches with data 14.6
7.8 Shots on target faced per match 4 / 5 matches with data 10.4
3.5 Big chances faced per match 4 / 5 matches with data 3.0
7.0 Deep completions allowed per match 8.0
Running & pressing
— Distance covered per match (km) 0 / 0 matches with data —
— Sprints per match 0 / 0 matches with data —
19.6 Pressing value (lower is stronger) 21.2

Highlighted values are the stronger side. For goals conceded, shots faced and the pressing value, lower is better.

Injuries & absences

Monza 3

Snapshot · 2026-10-30

  • Jan Ziólkowski Injury Expected back early November 2026
  • Matteo Pessina Injury Back in training
  • Yvan Kouadio Maye Injury Back in training

Atalanta 8

Snapshot · 2026-10-30

  • Franck Kessié Injury Expected back early November 2026
  • Giacomo Raspadori Injury Expected back early November 2026
  • Gianluca Scamacca Injury Expected back mid November 2026
  • Isak Hien Injury Back in training
  • Odilon Kossounou Injury Expected back early November 2026
  • Raoul Bellanova Injury Expected back early November 2026
  • Sead Kolasinac Injury Expected back in about 1-2 weeks
  • Thomas Pompei Injury Expected back early November 2026

Latest pre-match snapshot; coverage varies by league.

Limitations

Based on 10 recent matches (10 with expected-goals data).

  • Injury snapshots start from 2026-09-17; earlier absences are not reflected.

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