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Serie A

Referee: Massimiliano Irrati

Juventus

S S U S S

2–0

Full-time

Lazio

S U U T T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Juventus Lazio

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,2

1,3

Over 2.5 Ø 67%

67%

Both score Ø 67%

67%

Average goals

3,0

3,2

Scored

1,8

Conceded

1,2

1,3

Goal diff per game

+0,7

+0,5

This season — Serie A · 1/1 matches

Win Ø 50%

100%

Points per game

3,0

0,0

Over 2.5 Ø 100%

100%

Both score Ø 100%

100%

Average goals

5,0

3,0

Scored

3,0

1,0

Conceded

2,0

Goal diff per game

+1,0

-1,0

🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–0

55% Possession 45%

16 Shots 9

7 Shots on target 2

5 Blocked shots 1

2 Goalkeeper saves 5

6 Corners 2

0 Offside 2

11 Free kicks against 14

3 Yellow cards 2

0 Red cards 0

The table before the match Juventus 3. · Lazio 11. ▾

#	Team	K	V	U	T	+/−	P
1	Atalanta	1	1	0	0	+4	3
2	Empoli	1	1	0	0	+2	3
3	Juventus	1	1	0	0	+1	3
4	Napoli	1	1	0	0	+1	3
5	Roma	1	1	0	0	+1	3
6	Sassuolo	1	1	0	0	+1	3
7	Spal	1	1	0	0	+1	3
8	Parma	1	0	1	0	+0	1
9	Udinese	1	0	1	0	+0	1
10	Chievo	1	0	0	1	-1	0
11	Lazio	1	0	0	1	-1	0
12	Torino	1	0	0	1	-1	0
13	Inter	1	0	0	1	-1	0
14	Bologna	1	0	0	1	-1	0
15	Cagliari	1	0	0	1	-2	0
16	Frosinone	1	0	0	1	-4	0

#	Team	K	V	U	T	+/−	P
1	Atalanta	1	1	0	0	+4	3
2	Empoli	1	1	0	0	+2	3
3	Sassuolo	1	1	0	0	+1	3
4	Parma	1	0	1	0	+0	1
5	Chievo	1	0	0	1	-1	0
6	Lazio	1	0	0	1	-1	0
7	Torino	1	0	0	1	-1	0
8	Bologna	1	0	0	1	-1	0

#	Team	K	V	U	T	+/−	P
1	Juventus	1	1	0	0	+1	3
2	Napoli	1	1	0	0	+1	3
3	Roma	1	1	0	0	+1	3
4	Spal	1	1	0	0	+1	3
5	Udinese	1	0	1	0	+0	1
6	Inter	1	0	0	1	-1	0
7	Cagliari	1	0	0	1	-2	0
8	Frosinone	1	0	0	1	-4	0

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.