Reggiana vs Palermo Prediction, Preview and Stats
2025/2026 Serie B, Italy
Serie B
Palermo PALSTANDINGS
| 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 |
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CONTEXT
Reggiana battled to a hard-fought 1-1 draw against pre-match stronger side Palermo in Serie B, leveling the score at halftime after both teams netted once in an even first period. The second half turned dramatic when Reggiana received a red card, reducing them to 10 players while Palermo seized 70% possession against the home side's 30%. Despite relentless pressure, Palermo failed to score again, thwarted by resolute defending. This outcome defied structural expectations, marking a significant deviation for the visitors who dominated but couldn't convert superiority into a win. Reggiana's resilience earned a crucial point, highlighting defensive solidity under duress.
TL;DR
- Structural deviation: Palermo recorded a significant structural deviation of 74.4% from expectations.
- Efficiency shift: Efficiency shift was in line with pre-match assessments.
- xG alignment: xG alignment undetermined due to unavailable data.
- Market alignment: Market alignment did not occur as the draw defied pre-match favoritism.
- xG expectations: xG expectations unassessable without data.
- Event impact: Red card event substantially influenced match progression.
- Red card distortion: Red card distortion drove second-half adjustments.
- Market: Reggiana 18.5% (Δ+0%) | Draw 25.6% (Δ+0%) | Palermo 55.9% (Δ+0%).
Quality vs Volume
Open Play vs Set Play
Expected Points
| Team | xPts |
|---|---|
| Home | 1.8 |
| Away | 1.2 |
Match referee
E. Feliciani
Other match officials
A. Cipressa
1st Assistant
T. Miniutti
2nd Assistant
D. Di Marco
4th Official


Win Probabilities
Live Win Probability (90 Min)
Reggiana
PalermoTeam Power Ranking
i
15.11
32.04
Reggiana
PalermoForm 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.
Reggiana
Palermo

Possession Efficiency Possession-Adjusted
How effectively each team uses and defends their share of possession. Efficiency adjusted based on team possession percentage
Reggiana ⚠ 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.
Reggiana ⚠ Proxy
Reggiana Palermo
Reggiana Palermo
Counter / Transition Attack & Defence
What happens in the 15 seconds immediately after possession changes hands — based on Last 6 matches.
Reggiana
Reggiana Palermo


Reggiana Palermo


PRESSURE INDEX
Momentum phases from smoothed minute-by-minute pressure.
- PAL had peak pressure around 31'.
- PAL started the game with stronger pressure.
Team Head to Head Last 6 Seasons
Summary of 6 matches between these sides — filtered by competition and venue context.


Match Record 
Goals 
Data last updated: 2026-04-26T00:02:03+00:00
STARTING XI
Reggiana
Palermo






















































General Information
Next Match

Reggiana
vs

Modena
League: Serie B
Kickoff: Fri, 1 May - 1:00 PM
Venue: Stadio Alberto Braglia

Palermo
vs

Catanzaro
League: Serie B
Kickoff: Fri, 1 May - 1:00 PM
Venue: Stadio Renzo Barbera
Statistics
Top Statistics
Match Overview
Attacking
Possession
Defensive
Build-up
Discipline
Lineup
ReggianaManager ▼

Starting XI ▼
















Substitutes ▼





Bench ▼







PalermoManager ▼

Starting XI ▼















Substitutes ▼




Bench ▼








Events
CONCLUSION
Reggiana vs Palermo 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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