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Serie AT-7dlineups pending

Monza vs Sassuolo

Friday 18 Sep, 18:45 UTC · U-Power Stadium

Referee not appointedWeather pending
Most probable outcome
SASSUOLO WIN

Outcome distribution

Calibrated 1X2 probabilities

25.0%
Monza
25.0%
Draw
50.0%
Sassuolo
Home xG
1.22
Away xG
1.67
Likely score
1–1
11.6%
Completeness
71.9%
input coverage

Why the model says this

Ranked contributing factors

  • Monza attacking output-11

    0.96 xG and 0.96 goals per match over the last 12.

  • Sassuolo defensive record-8

    1.20 xG and 1.20 goals conceded per match.

  • Monza home record-81

    6.3 scored / 14.4 conceded across 5 home matches.

  • Sassuolo away record+26

    4.8 scored / 8.9 conceded across 8 away matches.

  • Squad availability-3

    Monza: Idrissa Touré  (out), Patrick Ciurria  (out), Matteo Pessina   (out), Gustavo Varela (out), Leonardo Colombo (out) · Sassuolo: Duje Caleta-Car (out), Darryl Bakola (out), Sebastiano Esposito (out), Ismaël Koné  (out)

  • Squad depth+0

    Monza: 37 registered, 0 regular starters, fit cover 4GK/11DEF/7MID/9FWD, 0% of squad minutes unavailable · Sassuolo: 41 registered, 0 regular starters, fit cover 4GK/14DEF/10MID/8FWD, 0% of squad minutes unavailable

  • Recent transfer activity+9

    Monza: 15 in (0 on loan), 18 out including 0 regulars — Saba Goglichidze from Udinese, Solomon Loubao to Catanzaro, Filippo Delli Carri to Sampdoria · Sassuolo: 24 in (1 on loan), 32 out including 0 regulars — Alessandro Di Bitonto to Avellino, Duje Caleta-Car from Olympique Lyonnais, Edoardo Iannoni to Hellas Verona

  • Monza last 12 played-68

    D L L L L — 1.20 scored / 2.56 conceded per match, 0.35 points per game (recency weighted).

  • Sassuolo last 3 played-1

    D W L — 1.68 scored / 1.67 conceded per match, 1.34 points per game (recency weighted).

  • Model agreementneutral

    Elo 23% · form 21% · goal model 27% · results history 18% for the home win.

  • Expected attacking output-15

    Goal-expectancy model: Monza 1.22 xG, Sassuolo 1.67 xG.

Most likely outcomes

Ranked by model probability · confidence is per outcome, from the raw sample behind it

Betting parameters

Full-time 1X2 and derived result combinations.

Probabilities are model estimates from the same score distribution as the 1X2 line. KICK90 publishes likelihoods, not tips.

Team comparison

Last-10 window

MetricMonzaSassuolo
Elo12441451
Record1W 2D 9L4W 4D 6L
Goals for / against11.543427350498796 / 29.59290374979397212.817480857902808 / 16.780149157259075
xG for / againstDATA UNAVAILABLEDATA UNAVAILABLE
Possession41%46%
Rest daysDATA UNAVAILABLEDATA UNAVAILABLE
Venue split5 matches, 6.300855503904002–14.4235613891560318 matches, 4.762424720950647–8.88247491376731

AI briefing

The model explains the numbers — it does not produce them

Generate a written analyst briefing that separates verified data from interpretation.

Confidence

Separation · completeness · model agreement

54Low

Confidence reflects how strongly the evidence points one way — not how attractive the outcome is. It rises as lineups confirm and data completeness improves.

Probability evolution

How the answer moved toward kickoff

  • T-7dcompleteness 71.9%
    25.0% / 25.0% / 50.0%

Squad availability

Weighted by importance and output

Monza
  • Idrissa Touré  Midfielderout
  • Patrick Ciurria  Midfielderout
  • Matteo Pessina   Midfielderout
  • Gustavo Varela Attackerout
  • Leonardo Colombo Midfielderout
Sassuolo
  • Duje Caleta-Car Defenderout
  • Darryl Bakola Midfielderout
  • Sebastiano Esposito Attackerout
  • Ismaël Koné  Midfielderout

Availability impact: 8.1% home attack, 6.2% away attack.