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Serie B
Pescara
T T T T T
3–1
Full-time
Cittadella
S S U S 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

Pescara Cittadella
Last 6 — all competitions · 6/6 matches
Win Ø 34%
0%
67%
Points per game
0,2
2,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
50%
50%
Average goals
2,8
2,8
Scored
0,5
2,0
Conceded
2,3
0,8
Goal diff per game
-1,8
+1,2
This season — Serie B · 6/5 matches
Win Ø 30%
0%
60%
Points per game
0,2
2,0
Over 2.5 Ø 54%
67%
40%
Both score Ø 45%
50%
40%
Average goals
2,8
2,4
Scored
0,5
1,8
Conceded
2,3
0,6
Goal diff per game
-1,8
+1,2
🔒 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: 3–0

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

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 ✓
3,08
U
2,97
B
2,43
Over/under goals
O1,5 ✓
O2,5 ✓
2,14
U2,5
1,68
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.