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Serie AT-7dlineups pending

AC Milan vs Lecce

Sunday 20 Sep, 18:45 UTC · Stadio Giuseppe Meazza

Referee not appointedWeather pending
Most probable outcome
AC MILAN WIN

Outcome distribution

Calibrated 1X2 probabilities

67.3%
AC Milan
21.8%
Draw
10.9%
Lecce
Home xG
1.86
Away xG
0.60
Likely score
1–0
15.9%
Completeness
72.5%
input coverage

Why the model says this

Ranked contributing factors

  • AC Milan attacking output+0

    1.34 xG and 1.34 goals per match over the last 19.

  • Lecce defensive record-4

    1.52 xG and 1.52 goals conceded per match.

  • AC Milan home record+9

    11.6 scored / 10.0 conceded across 9 home matches.

  • Lecce away record+34

    2.2 scored / 7.7 conceded across 8 away matches.

  • Squad availability-2

    AC Milan: Matteo Gabbia (out), Warren Bondo (out) · Lecce: Willem Geubbels  (out)

  • Squad depth-1

    AC Milan: 29 registered, 0 regular starters, fit cover 3GK/9DEF/9MID/5FWD, 0% of squad minutes unavailable · Lecce: 36 registered, 0 regular starters, fit cover 4GK/13DEF/10MID/8FWD, 0% of squad minutes unavailable

  • Recent transfer activity+43

    AC Milan: 5 in (0 on loan), 4 out including 0 regulars — Christopher Nkunku to RB Leipzig, Ismaël Bennacer to TBC, Sankhoun Diawara from Troyes · Lecce: 16 in (0 on loan), 22 out including 0 regulars — Christ-Owen Kouassi to Grenoble Foot 38, Joël Monteiro from Young Boys, Ali Dembélé from Torino

  • AC Milan last 5 played+51

    D W W W W — 1.67 scored / 0.64 conceded per match, 2.33 points per game (recency weighted).

  • Lecce last 4 played+51

    L L W D — 0.64 scored / 1.67 conceded per match, 0.96 points per game (recency weighted).

  • Model agreementneutral

    Elo 75% · form 78% · goal model 66% · results history 79% for the home win.

  • Expected attacking output+42

    Goal-expectancy model: AC Milan 1.86 xG, Lecce 0.60 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

MetricAC MilanLecce
Elo16081292
Record10W 5D 4L1W 5D 12L
Goals for / against25.392515197310246 / 15.2472061362763317.833047147205692 / 27.29598335667352
xG for / againstDATA UNAVAILABLEDATA UNAVAILABLE
Possession53%40%
Rest daysDATA UNAVAILABLEDATA UNAVAILABLE
Venue split9 matches, 11.573848220207545–9.9784812001415628 matches, 2.158150519760496–7.655886963074661

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

66Moderate

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 72.5%
    67.3% / 21.8% / 10.9%

Squad availability

Weighted by importance and output

AC Milan
  • Matteo Gabbia Defenderout
  • Warren Bondo Midfielderout
Lecce
  • Willem Geubbels  Attackerout

Availability impact: 3.0% home attack, 1.7% away attack.