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Serie B
Reggina
S T S T T
1–2
Full-time
Ascoli
T U S S U

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

Reggina Ascoli
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,5
1,3
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
33%
67%
Average goals
2,3
2,0
Scored
1,0
1,0
Conceded
1,3
1,0
Goal diff per game
-0,3
+0,0
This season — Serie B · 14/14 matches
Win Ø 43%
43%
43%
Points per game
1,6
1,6
Over 2.5 Ø 40%
36%
43%
Both score Ø 54%
43%
64%
Average goals
2,1
2,6
Scored
1,0
1,4
Conceded
1,1
1,2
Goal diff per game
-0,1
+0,1
🔒 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

13 Shots 13
3 Shots on target 4
4 Corners 6
14 Free kicks against 21
2 Yellow cards 5
0 Red cards 0
The table before the match Reggina 10. · Ascoli 7.
# Team K V U T +/− P
1 Pisa 15 8 5 2 +10 29
2 Brescia 14 8 3 3 +9 27
3 Lecce 14 6 7 1 +11 25
4 Frosinone 15 5 9 1 +8 24
5 Cremonese 15 6 5 4 +4 23
6 Benevento 14 6 4 4 +9 22
7 Ascoli 14 6 4 4 +2 22
8 Perugia 15 5 7 3 +2 22
9 Monza 14 5 7 2 +2 22
10 Reggina 14 6 4 4 -1 22
11 Ternana 15 6 3 6 +2 21
12 Cittadella 14 6 3 5 +0 21
13 Como 14 5 5 4 +3 20
14 Parma 14 4 6 4 -1 18
15 Spal 14 4 5 5 +3 17
16 Cosenza 14 4 3 7 -7 15
17 Alessandria 14 4 2 8 -9 14
18 Crotone 15 1 5 9 -13 8
19 Vicenza 14 2 1 11 -14 7
20 Pordenone 14 0 4 10 -20 4

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
2,20
U
3,17
B ✓
3,37
Over/under goals
O1,5 ✓
O2,5 ✓
2,10
U2,5
1,72
U3,5 ✓
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.