xgEdge

Sunday, 11/10/2026 at 12:30

7d 13h to kick-off
Match preview · Serie A

Como – Roma

Como 8th in Serie A Home 1.38 projected goals by the model
Roma 1st in Serie A Away 1.32 projected goals by the model

Model updated 3 October, 21:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
1.38 1.32
Como Roma
Como
36%
Draw
30%
Roma
33%
The odds each result is fair at by the model's chance of it, with no margin in it
Como Draw Roma
Fair odds 2.76 3.29 2.99
Total goals
2.70
Over 2.5 goals
52%
Both teams to score
61%
Data coverage · full

Both teams have the full 20-match model window available.

Model vs market

The model sees an edge in 3 outcomes.

  • Como

    Model
    36.2%
    Market, margin removed
    36.6%
    Probability gap
    −0.4 pp
    Edge
    −7.6%
    Fair odds
    2.76
    Market odds
    2.55 Bet365
    Price at which a 5% edge begins
    2.90
    Bookmaker margin
    7.1%
  • Draw

    Model
    30.4%
    Market, margin removed
    27.5%
    Probability gap
    +2.9 pp
    Edge
    +3.2%
    Fair odds
    3.29
    Market odds
    3.40 Bet365
    Price at which a 5% edge begins
    3.46
    Bookmaker margin
    7.1%
  • Roma

    Model
    33.4%
    Market, margin removed
    35.9%
    Probability gap
    −2.5 pp
    Edge
    −13.1%
    Fair odds
    2.99
    Market odds
    2.60 Bet365
    Price at which a 5% edge begins
    3.14
    Bookmaker margin
    7.1%

Best opportunity

Roma at most 1 goal

odds · Bet365 1.67 value +1.7%

Model 61.0% vs. bookmaker 55.7%, margin removed.

Markets 3 / 17

Match result

Draw model 30.4% · book 27.5% (no margin) +3.2% 3.40 fair 3.29
Marginal

No measured model skill on this market (-1.04%).

Goals

Under 2.5 goals model 47.9% · book 43.1% (no margin) +5.4% 2.20 fair 2.09
Worth playing

No measured model skill on this market (-0.89%).

Goals by team

Roma at most 1 goal model 61.0% · book 55.7% (no margin) +1.7% 1.67 fair 1.64
Marginal

Measured model skill on this market: +2.61%.

Show every rated outcome

Skill is what a backtest measured each market at, over 7 competitions to 17/08/2026. Across every market at once it is +2.50%. Markets measured at nothing are ranked last and never recommended. How that is measured →

The model's case

Why the model can't separate them

36% Como to win

Attack
3rd vs 2nd
Como attack v Roma defence
Defence
4th vs 2nd
Como defence v Roma attack
Recent xG form
+0.53 vs +1.63
xGD per match, last 6
Projected goals
1.38 – 1.32
Como v Roma
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: Como and Roma compared, each figure with where it places in the competition.
Reading Como Roma
xG / match 1.89 · 3rd (better) 2.56 · 2nd
xGA / match 1.53 · 12th (better) 1.11 · 4th
xGD / match +0.36 · 8th (better) +1.45 · 2nd
xPts / match 1.60 · 9th (better) 2.23 · 1st
Last 6 xGD / match +0.53 (better) +1.63

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 34% of the model's distribution.

Como clean sheet
24%
Como 2+ goals
41%
Under 2.5 goals
48%
Both teams to score: no
39%

Most likely scorelines

1:1
15.3%
2:1
9.8%
1:2
9.3%
Value calculator

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The prices above are one bookmaker's. Type your own to check it against the model.

How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Como sample
20 matches
Roma sample
20 matches
Home xG sample · Como
1 match
Away xG sample · Roma
2 matches
Computed
Saturday, 03/10/2026 at 21:30
Odds updated
1 minute ago

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.