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Serie AT-7dlineups pending

Como vs Parma

Monday 14 Sep, 16:30 UTC · Stadio Giuseppe Sinigaglia

Ref Giuseppe Mucera · 2.7 YC/matchWeather pending
Most probable outcome
COMO WIN

Outcome distribution

Calibrated 1X2 probabilities

59.9%
Como
23.5%
Draw
16.6%
Parma
Home xG
1.81
Away xG
0.87
Likely score
1–0
12.6%
Completeness
72.5%
input coverage

Why the model says this

Ranked contributing factors

  • Como attacking output+42

    1.95 xG and 1.95 goals per match over the last 19.

  • Parma defensive record-37

    0.69 xG and 0.69 goals conceded per match.

  • Como home record+31

    17.9 scored / 12.3 conceded across 9 home matches.

  • Parma away record-16

    6.2 scored / 3.6 conceded across 8 away matches.

  • Squad availability-7

    Como: Willy Kambwala (out), Edoardo Goldaniga (out), Mauro Vigorito (out), Jayden Addai  (out), Maxence Caqueret (out), Adrian Lahdo (out), Assane Diao (out) · Parma: El Bilal Touré (out), Adrián Bernabé (out), Hans Nicolussi Caviglia  (out), Diego Carlos (out)

  • Squad depth-1

    Como: 34 registered, 0 regular starters, fit cover 2GK/8DEF/9MID/7FWD, 0% of squad minutes unavailable · Parma: 34 registered, 0 regular starters, fit cover 3GK/10DEF/8MID/7FWD, 0% of squad minutes unavailable

  • Recent transfer activity-2

    Como: 17 in (0 on loan), 29 out including 0 regulars — Matthias Braunöder to Carrarese, Robert Sánchez from Chelsea, Iván Azón to Getafe · Parma: 18 in (0 on loan), 18 out including 0 regulars — Vincent Sierro from TBC, Diego Carlos from Fenerbahçe, Oliver Sørensen to Celtic

  • Referee — Giuseppe Muceraneutral

    2.7 yellows and 0.00 reds per match across 3 tracked appointments.

  • Como last 4 played+100

    W W W W — 3.35 scored / 1.00 conceded per match, 3.00 points per game (recency weighted).

  • Parma last 2 played+49

    D L — 0.51 scored / 1.49 conceded per match, 0.51 points per game (recency weighted).

  • Model agreementneutral

    Elo 58% · form 60% · goal model 58% · results history 85% for the home win.

  • Expected attacking output+31

    Goal-expectancy model: Como 1.81 xG, Parma 0.87 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

MetricComoParma
Elo16571525
Record10W 5D 4L6W 8D 3L
Goals for / against37.026708822041485 / 16.81892840235347813.158671558450278 / 12.426713938239713
xG for / againstDATA UNAVAILABLEDATA UNAVAILABLE
Possession62%46%
Rest daysDATA UNAVAILABLEDATA UNAVAILABLE
Venue split9 matches, 17.86620331656288–12.3115846349405738 matches, 6.193184374158476–3.611051577796549

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

62Moderate

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%
    59.9% / 23.5% / 16.6%

Squad availability

Weighted by importance and output

Como
  • Willy Kambwala Defenderout
  • Edoardo Goldaniga Defenderout
  • Mauro Vigorito Goalkeeperout
  • Jayden Addai  Attackerout
  • Maxence Caqueret Midfielderout
  • Adrian Lahdo Midfielderout
  • Assane Diao Attackerout
Parma
  • El Bilal Touré Attackerout
  • Adrián Bernabé Midfielderout
  • Hans Nicolussi Caviglia  Midfielderout
  • Diego Carlos Defenderout

Availability impact: 10.7% home attack, 6.2% away attack.