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Serie AT-7dlineups pending

Torino vs Roma

Monday 14 Sep, 16:30 UTC · Stadio Olimpico Grande Torino

Ref Fabio Maresca · 4.0 YC/matchWeather pending
Most probable outcome
ROMA WIN

Outcome distribution

Calibrated 1X2 probabilities

22.1%
Torino
23.7%
Draw
54.2%
Roma
Home xG
1.22
Away xG
1.86
Likely score
1–1
10.6%
Completeness
76.3%
input coverage

Why the model says this

Ranked contributing factors

  • Torino attacking output-8

    1.20 xG and 1.20 goals per match over the last 18.

  • Roma defensive record-24

    0.95 xG and 0.95 goals conceded per match.

  • Torino home record-27

    9.5 scored / 13.8 conceded across 8 home matches.

  • Roma away record-20

    18.1 scored / 13.2 conceded across 12 away matches.

  • Squad availability+2

    Torino: Cesare Casadei  (out), Franco Israel  (out) · Roma: Evan Ndicka (out), Devyne Rensch  (out), Leonardo Balerdi  (out)

  • Squad depth+2

    Torino: 36 registered, 0 regular starters, fit cover 4GK/11DEF/10MID/7FWD, 0% of squad minutes unavailable · Roma: 27 registered, 0 regular starters, fit cover 4GK/9DEF/6MID/4FWD, 0% of squad minutes unavailable

  • Recent transfer activityneutral

    Torino: 25 in (2 on loan), 34 out including 0 regulars — Tino Anjorin to Göztepe, Alberto Paleari to AEK Larnaca, Ricardo Rodríguez from TBC · Roma: 15 in (0 on loan), 26 out including 0 regulars — Robinio Vaz to Hull City, Mattia Mannini to Benevento, Neil El Aynaoui to RB Leipzig

  • Referee — Fabio Marescaneutral

    4.0 yellows and 1.67 reds per match across 3 tracked appointments.

  • Torino last 4 played-15

    W L L D — 1.34 scored / 1.64 conceded per match, 1.04 points per game (recency weighted).

  • Roma last 6 played-100

    D W W W W — 2.66 scored / 0.55 conceded per match, 2.41 points per game (recency weighted).

  • Model agreementneutral

    Elo 24% · form 19% · goal model 24% · results history 9% for the home win.

  • Expected attacking output-21

    Goal-expectancy model: Torino 1.22 xG, Roma 1.86 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

MetricTorinoRoma
Elo14611648
Record5W 5D 8L15W 2D 6L
Goals for / against21.60388409193979 / 25.0993345099910338.77394719357762 / 21.818776175567567
xG for / againstDATA UNAVAILABLEDATA UNAVAILABLE
Possession42%55%
Rest daysDATA UNAVAILABLEDATA UNAVAILABLE
Venue split8 matches, 9.515953207330385–13.84498705737307112 matches, 18.093075146114376–13.24572772351402

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

58Low

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 76.3%
    22.1% / 23.7% / 54.2%

Squad availability

Weighted by importance and output

Torino
  • Cesare Casadei  Midfielderout
  • Franco Israel  Goalkeeperout
Roma
  • Evan Ndicka Defenderout
  • Devyne Rensch  Defenderout
  • Leonardo Balerdi  Defenderout

Availability impact: 3.3% home attack, 4.2% away attack.