Monza vs Modena Prediction, Preview and Stats
2025/2026 Serie B, Italy
Serie B
Modena MODSTANDINGS
| Rank | Team | P | W | D | L | GD | Pts | Form |
|---|
| Rank | Team | P | W | D | L | GD | Pts | Form |
|---|
| Rank | Team | P | W | D | L | GD | Pts | Form |
|---|
CONTEXT
Monza clinched a gritty 1-0 home win against Modena, scoring the decisive goal in the first half to lead 1-0 at the break. Despite holding just 41% possession, the hosts showcased clinical finishing and resolute defending to repel Modena's second-half pressure. The visitors dominated the ball with 59% but failed to muster meaningful threats, highlighting Monza's superior organization and game management. As the pre-designated stronger team, Monza's triumph came with minimal structural deviation, reflecting their expected dominance in a tightly contested Serie B encounter. No red cards or major disruptions marred the flow, allowing the result to unfold naturally from early momentum. This victory bolsters Monza's promotion push, underlining their ability to grind out results even when out-possessed.
TL;DR
- Structural deviation: Match showed minimal structural deviation of 5.8% in Monza's favor.
- Efficiency shift: Both teams' efficiencies remained in line with expectations.
- xG alignment: xG data unavailable, preventing alignment evaluation.
- Market alignment: Result perfectly aligned with pre-market expectations.
- xG expectations: xG figures absent, leaving expectations unquantified.
- Event impact: No key events or adjustments impacted the game's structure.
- Red card distortion: Zero red cards ensured no distortion to match flow.
Quality vs Volume
Open Play vs Set Play
Expected Points
| Team | xPts |
|---|---|
| Home | 1.8 |
| Away | 1.2 |
Match referee
F. Dionisi
Other match officials
F. Bercigli
1st Assistant
Francesco Burlando
4th Official
A. Bianchini
2nd Assistant


Win Probabilities
Live Win Probability (90 Min)
Monza
ModenaTeam Power Ranking
i
35.46
22.64
Monza
ModenaForm Analysis Opponent-Weighted
Line chart of recent results (points/trend). Friendlies excluded by default. Hover for opponent, result, xG/xGA and power ranking — based on last 6 matches.


Heatmaps Ball coordinates
Attack and defence zones from ball position data. Filters: last 6 matches (overall/home/away), time period, competition.
Monza
Modena

Possession Efficiency Possession-Adjusted
How effectively each team uses and defends their share of possession. Efficiency adjusted based on team possession percentage
Monza ⚠ Proxy
Attacking Efficiency 
Defensive Efficiency 
Positive = above league average.
Negative = below league average.
Formula: EfficiencyIndex = z(AttackEff) − z(DefenceEff)




Set Pieces Efficiency Attack & Defence
Set-piece reliance and strength using expected metrics and actual outcomes for each team.
Monza ⚠ Proxy
Monza Modena
Monza Modena
Counter / Transition Attack & Defence
What happens in the 15 seconds immediately after possession changes hands — based on Last 6 matches.
Monza
Monza Modena


Monza Modena


PRESSURE INDEX
Momentum phases from smoothed minute-by-minute pressure.
- MOD had peak pressure around 1'.
- MOD started the game with stronger pressure.
Team Head to Head Last 6 Seasons
Summary of 2 matches between these sides — filtered by competition and venue context.


Match Record 
Goals 
Data last updated: 2026-04-25T00:01:15+00:00
STARTING XI
Monza
Modena



















































General Information
Next Match

Monza
vs

Mantova
League: Serie B
Kickoff: Fri, 1 May - 1:00 PM
Venue: Stadio Danilo Martelli

Modena
vs

Reggiana
League: Serie B
Kickoff: Fri, 1 May - 1:00 PM
Venue: Stadio Alberto Braglia
Statistics
Top Statistics
Match Overview
Attacking
Possession
Defensive
Build-up
Discipline
Lineup
MonzaManager ▼

Starting XI ▼














Substitutes ▼



Bench ▼









ModenaManager ▼

Starting XI ▼
















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Bench ▼







Events
CONCLUSION
Monza vs Modena preview with tactical analysis, xG context, lineup signals, and data-backed betting insights for faster decisions.
Use this page as a quick-read snapshot first, then continue to deep stats and methodology references below.
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