Ascoli won 2 of the last 5DDWWD3rd1–1Empoli won 0 of the last 5DDLLD18th
Match statistics
Full-time statistics
Ascoli
Empoli
9
Shots
16
2
Shots on target
3
6
Corners
7
11
Fouls
17
1
Yellow cards
1
—
Red cards
—
2
Offsides
1
482
Passes
291
62%
Possession %
38%
1.55
xG
0.80
50%
26%
24%
1 · AscoliXEmpoli · 2
Over 1.5
75%
Over 2.5
50%
Over 3.5
28%
Both score
53%
Model pick
Ascoli 50%
Likely score
1-1 12%
Expected goals
1.62 – 1.05
Advised bets
No advised bet on this fixture. The available prices are close enough to our own numbers that there is nothing worth backing. Most fixtures end up here, and manufacturing a selection for every game is exactly how tipster records get destroyed.
Our probabilities against the market
Our probability and fair price for every market we publish, next to the best price we last captured and the probability it implies (bookmaker margin included).
Market
Selection
Ours
Fair
Best price
Implied
Gap
Match result
Ascoli
50.2%
1.99
1.91 Dafabet
52.4%
-2.2
Match result
Draw
25.9%
3.85
3.60 Betfair
27.8%
-1.8
Match result
Empoli
23.9%
4.19
4.30 Betano
23.3%
+0.6
Total goals
Over 1.5
75.1%
1.33
1.30 Betano
76.9%
-1.8
Total goals
Under 1.5
24.9%
4.02
3.75 Bet365
26.7%
-1.8
Total goals
Over 2.5
49.8%
2.01
1.91 Betano
52.4%
-2.5
Total goals
Under 2.5
50.2%
1.99
2.00 Betano
50.0%
+0.2
Total goals
Over 3.5
27.9%
3.59
3.25 Bet365
30.8%
-2.9
Total goals
Under 3.5
72.1%
1.39
1.37 Betano
73.0%
-0.8
Both teams to score
Both teams to score — Yes
52.6%
1.90
1.80 Betfair
55.6%
-2.9
Both teams to score
Both teams to score — No
47.4%
2.11
2.05 Betano
48.8%
-1.4
A positive gap means our probability is higher than the price implies. That is information, not a recommendation: a pick is only published where the gap clears our bar after allowing for model error, and those appear above.
Ascoli favoured against Empoli
Our model makes Ascoli 50% to win this Serie B fixture, with the draw at 26% and Empoli at 24%. The goal projection is 1.62 for Ascoli against 1.05 for Empoli — a substantial edge to Ascoli on expected output. A combined 2.67 goals points to an open game around the league average, which puts over 2.5 at 50% and both teams to score at 53%. The single most likely scoreline is 1-1 at 12%, though no individual scoreline is ever likely in absolute terms — that is the nature of a low-scoring sport. This sits in the awkward middle of the distribution, where the model has a view but not a strong one. All figures come from a Dixon–Coles adjusted Poisson model fitted on recent results and expected goals. They are estimates, not forecasts of fact.
Most likely scores
1-1 12%
1-0 11%
2-1 10%
2-0 9%
0-0 8%
This season
Season records for Ascoli and Empoli
Ascoli
Empoli
11
Played
11
5-5-1
W-D-L
2-3-6
1.82
Pts / game
0.82
1.55
Goals for / game
1.09
0.64
Goals against / game
1.73
27%
Over 2.5
55%
55%
BTTS
64%
36%
Clean sheets
18%
27%
Failed to score
18%
3-3-0
Home record
1-1-3
2-2-1
Away record
1-2-3
D2
Streak
D2
2026/27 league matches only, computed from results on record. Ascoli · Empoli
Full-match statistics, per game this season
Produced
Season per-match averages, produced
11.7
Shots
12.3
4.0
Shots on target
4.3
6.2
Corners
4.3
1.33
Cards
1.83
9.8
Fouls
12.1
63
Possession %
44
1.46
xG
1.19
6 matches
sample
7 matches
Conceded
Season per-match averages, conceded
14.2
Shots
19.1
4.7
Shots on target
5.7
4.3
Corners
5.4
1.67
Cards
2.14
16.0
Fouls
14.0
38
Possession %
56
1.19
xG
1.97
6 matches
sample
7 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Ascoli
Metric
Empoli
1.40 (better)
Goals scored
0.80
0.80 (better)
Goals conceded
1.20
1.67 (better)
Expected goals (xG)
0.73
—
Big chances *
—
4.80 (better)
Shots on target
3.00
15.40 (better)
Total shots
10.20
—
Touches in opp. box *
—
6.80 (better)
Corners
4.00
62.0 (better)
Possession %
44.6
462 (better)
Passes
397
—
Tackles
—
11.20 (better)
Fouls
15.20
1.50
Offsides
1.25 (better)
—
Throw-ins *
—
2.60
Yellow cards
2.40 (better)
0.00 (better)
Red cards
1.00
* Big chances, Touches in opp. box, Throw-ins are not supplied by our current data provider (api-football). Rather than estimate them and present the estimate as a measurement, we show nothing.
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