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Serie B
Lecce
S S S S U
2–2
Full-time
Frosinone
S T 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

Lecce Frosinone
Last 6 — all competitions · 6/6 matches
Win Ø 67%
67%
67%
Points per game
2,3
2,0
Over 2.5 Ø 58%
83%
33%
Both score Ø 67%
100%
33%
Average goals
4,5
2,5
Scored
3,3
1,3
Conceded
1,2
1,2
Goal diff per game
+2,2
+0,2
This season — Serie B · 10/10 matches
Win Ø 55%
50%
60%
Points per game
1,9
1,9
Over 2.5 Ø 45%
70%
20%
Both score Ø 45%
70%
20%
Average goals
3,6
2,0
Scored
2,4
1,1
Conceded
1,2
0,9
Goal diff per game
+1,2
+0,2
🔒 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: 1–1

14 Shots 14
3 Shots on target 5
8 Corners 6
12 Free kicks against 14
4 Yellow cards 3
0 Red cards 0
The table before the match Lecce 3. · Frosinone 5.
# Team K V U T +/− P
1 Salernitana 10 7 2 1 +9 23
2 Spal 10 6 3 1 +10 21
3 Lecce 10 5 4 1 +12 19
4 Empoli 10 5 4 1 +7 19
5 Frosinone 10 6 1 3 +2 19
6 Venezia 11 5 3 3 +5 18
7 Chievo 10 5 2 3 +5 17
8 Monza 11 4 5 2 +2 17
9 Cittadella 9 4 2 3 +6 14
10 Pordenone 10 2 7 1 +1 13
11 Reggiana 9 3 2 4 -5 11
12 Brescia 10 2 4 4 -2 10
13 Reggina 11 2 4 5 -6 10
14 Pisa 10 2 4 4 -10 10
15 Vicenza 9 1 6 2 -1 9
16 Cosenza 10 1 6 3 -2 9
17 Cremonese 10 1 5 4 -4 8
18 Pescara 10 2 1 7 -11 7
19 Ascoli 10 1 2 7 -8 5
20 Virtus Entella 10 0 5 5 -10 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
1,97
U ✓
3,27
B
3,89
Over/under goals
O1,5 ✓
O2,5 ✓
1,69
U2,5
2,11
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.