xgEdge

Sunday, 11/10/2026 at 15:00

7d 14h to kick-off
Match preview · Serie A

Lazio – Monza

Lazio 3rd in Serie A Home 1.22 projected goals by the model
Monza 16th in Serie A Away 1.14 projected goals by the model

Model updated 4 October, 00:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
1.22 1.14
Lazio Monza
Lazio
36%
Draw
33%
Monza
32%
The odds each result is fair at by the model's chance of it, with no margin in it
Lazio Draw Monza
Fair odds 2.81 3.06 3.16
Total goals
2.36
Over 2.5 goals
43%
Both teams to score
54%
Data coverage · thin

One of these teams has only 5 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.

Model vs market

The model sees an edge in 9 outcomes.

  • Lazio

    Model
    35.6%
    Market, margin removed
    57.3%
    Probability gap
    −21.6 pp
    Edge
    −41.2%
    Fair odds
    2.81
    Market odds
    1.65 Bet365
    Price at which a 5% edge begins
    2.95
    Bookmaker margin
    5.8%
  • Draw

    Model
    32.7%
    Market, margin removed
    25.5%
    Probability gap
    +7.2 pp
    Edge
    +21.0%
    Fair odds
    3.06
    Market odds
    3.70 Bet365
    Price at which a 5% edge begins
    3.21
    Bookmaker margin
    5.8%
  • Monza

    Model
    31.7%
    Market, margin removed
    17.2%
    Probability gap
    +14.5 pp
    Edge
    +74.1%
    Fair odds
    3.16
    Market odds
    5.50 Bet365
    Price at which a 5% edge begins
    3.32
    Bookmaker margin
    5.8%

Best opportunity

Monza to win

odds · Bet365 5.50 value +74.1%

Model 31.7% vs. bookmaker 17.2%, margin removed.

Markets 9 / 17

Match result

Monza to win model 31.7% · book 17.2% (no margin) +74.1% 5.50 fair 3.16
Great value

Measured model skill on this market: +7.20%.

Draw model 32.7% · book 25.5% (no margin) +21.0% 3.70 fair 3.06
Great value

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

Goals

Under 2.5 goals model 57.4% · book 50.0% (no margin) +9.6% 1.91 fair 1.74
Worth playing

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

Under 1.5 goals model 27.5% · book 25.5% (no margin) +3.1% 3.75 fair 3.64
Marginal

No measured model skill on this market (-0.01%).

Both teams to score

Both teams to score model 53.8% · book 48.0% (no margin) +4.9% 1.95 fair 1.86
Marginal

No measured model skill on this market (-0.43%).

Goals by team

Lazio not to score model 26.8% · book 17.2% (no margin) +47.2% 5.50 fair 3.74
Great value

Measured model skill on this market: +3.77%.

Lazio at most 1 goal model 65.1% · book 46.3% (no margin) +30.2% 2.00 fair 1.54
Great value

Measured model skill on this market: +3.62%.

Monza 2+ goals model 31.9% · book 23.4% (no margin) +27.8% 4.00 fair 3.13
Great value

Measured model skill on this market: +2.61%.

Monza to score model 70.8% · book 57.7% (no margin) +14.3% 1.62 fair 1.41
Worth playing

Measured model skill on this market: +2.56%.

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 →

Why the model disagrees with the market

The leading outcome: Monza to win

What the model's reading is made of

  • The fit has seen one of these two sides in only 5 matches. Everything behind this edge rests on that, which is too little to set out as a reason.

These are the parts of the model's own number, not an account of the bookmaker's. The fit reads two ratings a side, the competition's average home and away expected goals, the window it looks back over and how many matches it found in it — and nothing else is a reason this page can give.

What the model did not read

Readings for Lazio and Monza that the model does not use.
Reading Lazio Monza
Form — xG difference, the last 6 matches +0.18 +0.73
Goals scored minus expected +0.27 -0.95
Points won minus expected +4.90 -5.45
npxG per shot 0.11 0.11

All of this is in the database and none of it entered the fit. A reading here may point the other way from every line above it — where it does, both are true, and only one of them is in the model.

The model's case

Why the model can't separate them

36% Lazio to win

Attack
14th vs 8th
Lazio attack v Monza defence
Defence
9th vs 8th
Lazio defence v Monza attack
Recent xG form
+0.18 vs +0.73
xGD per match, last 5
Projected goals
1.22 – 1.14
Lazio v Monza

The fit has seen one of these two sides in only 5 matches, so read all of this as a rough guide.

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: Lazio and Monza compared, each figure with where it places in the competition.
Reading Lazio Monza
xG / match 1.55 · 9th (better) 1.79 · 4th
xGA / match 1.24 · 6th (better) 1.06 · 3rd
xGD / match +0.30 · 9th (better) +0.73 · 4th
xPts / match 1.62 · 8th (better) 1.89 · 4th
Last 6 xGD / match +0.18 (better) +0.73

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 36% of the model's distribution.

Lazio clean sheet
29%
Lazio 2+ goals
35%
Under 2.5 goals
57%
Both teams to score: no
46%

Most likely scorelines

1:1
16.8%
0:0
9.8%
2:1
9.3%
Value calculator

Check your bookmaker's price

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.

Open the calculator

Model details

· 1 warning Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Lazio sample
20 matches
Monza sample
5 matches
Home xG sample · Lazio
2 matches
Away xG sample · Monza
3 matches
Computed
Sunday, 04/10/2026 at 00:30
Odds updated
1 minute ago

Warnings

  • Monza has only 5 matches in the database. Below 10 matches the estimate is very unreliable.

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.