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Serie B
Pescara
T T S T U
3–2
Full-time
Monza
S U T S S

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

Pescara Monza
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,2
1,8
Over 2.5 Ø 33%
33%
33%
Both score Ø 33%
33%
33%
Average goals
2,5
2,5
Scored
1,2
1,7
Conceded
1,3
0,8
Goal diff per game
-0,2
+0,8
This season — Serie B · 12/12 matches
Win Ø 30%
17%
42%
Points per game
0,7
1,7
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
42%
42%
Average goals
2,7
2,1
Scored
0,8
1,3
Conceded
1,8
0,8
Goal diff per game
-1,0
+0,6
🔒 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: 1–1

18 Shots 17
3 Shots on target 5
7 Corners 6
19 Free kicks against 10
3 Yellow cards 4
0 Red cards 1
The table before the match Pescara 18. · Monza 8.
# Team K V U T +/− P
1 Empoli 13 7 5 1 +11 26
2 Salernitana 13 7 4 2 +7 25
3 Frosinone 13 7 3 3 +3 24
4 Cittadella 12 7 2 3 +13 23
5 Spal 12 6 4 2 +8 22
6 Lecce 13 5 6 2 +9 21
7 Venezia 12 6 3 3 +6 21
8 Monza 12 5 5 2 +7 20
9 Chievo 12 5 4 3 +5 19
10 Brescia 13 4 5 4 +2 17
11 Pordenone 13 3 8 2 +1 17
12 Pisa 13 4 5 4 -6 17
13 Vicenza 12 3 6 3 -2 15
14 Reggiana 12 4 2 6 -7 14
15 Cosenza 13 2 6 5 -1 12
16 Cremonese 13 2 6 5 -4 12
17 Reggina 13 2 4 7 -9 10
18 Pescara 12 2 2 8 -12 8
19 Ascoli 13 1 3 9 -12 6
20 Virtus Entella 13 0 5 8 -19 5

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
3,94
U
3,30
B
1,94
Over/under goals
O1,5 ✓
O2,5 ✓
1,93
U2,5
1,86
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.