Avellino won 1 of the last 5DWDLD6th2–0Pisa won 1 of the last 5DLDDW8th
Match statistics
Full-time statistics
Avellino
Pisa
18
Shots
12
6
Shots on target
3
8
Corners
4
9
Fouls
9
0
Yellow cards
1
0
Red cards
0
0
Offsides
1
316
Passes
637
34%
Possession %
66%
1.86
xG
1.00
47%
26%
27%
1 · AvellinoXPisa · 2
Over 1.5
78%
Over 2.5
53%
Over 3.5
31%
Both score
56%
Model pick
Avellino 47%
Likely score
1-1 12%
Expected goals
1.63 – 1.18
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
Avellino
47.3%
2.11
3.15 Betano
31.7%
+15.6
Match result
Draw
25.6%
3.90
3.30 Betano
30.3%
-4.7
Match result
Pisa
27.0%
3.70
2.38 Betfair
42.0%
-15.0
Total goals
Over 1.5
77.7%
1.29
1.35 Betano
74.1%
+3.7
Total goals
Under 1.5
22.3%
4.49
3.40 Bet365
29.4%
-7.1
Total goals
Over 2.5
53.4%
1.87
2.10 Betfair
47.6%
+5.8
Total goals
Under 2.5
46.6%
2.15
1.80 Bet365
55.6%
-9.0
Total goals
Over 3.5
31.1%
3.21
3.85 Betano
26.0%
+5.2
Total goals
Under 3.5
68.9%
1.45
1.31 Betano
76.3%
-7.5
Both teams to score
Both teams to score — Yes
56.4%
1.77
1.87 Betano
53.5%
+2.9
Both teams to score
Both teams to score — No
43.6%
2.29
2.10 Betfair
47.6%
-4.0
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.
Avellino favoured against Pisa
Our model makes Avellino 47% to win this Serie B fixture, with the draw at 26% and Pisa at 27%. The goal projection is 1.63 for Avellino against 1.18 for Pisa — a clear edge to Avellino on expected output. A combined 2.82 goals points to an open game around the league average, which puts over 2.5 at 53% and both teams to score at 56%. 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%
2-1 9%
1-0 9%
2-0 8%
1-2 7%
This season
Season records for Avellino and Pisa
Avellino
Pisa
11
Played
11
4-4-3
W-D-L
4-4-3
1.45
Pts / game
1.45
1.45
Goals for / game
1.82
1.00
Goals against / game
1.55
36%
Over 2.5
73%
64%
BTTS
64%
27%
Clean sheets
18%
9%
Failed to score
18%
3-1-2
Home record
2-2-2
1-3-1
Away record
2-2-1
D1
Streak
D1
2026/27 league matches only, computed from results on record. Avellino · Pisa
Full-match statistics, per game this season
Produced
Season per-match averages, produced
18.4
Shots
15.7
4.6
Shots on target
5.3
5.6
Corners
7.0
1.60
Cards
2.29
9.4
Fouls
9.6
56
Possession %
53
1.69
xG
2.00
5 matches
sample
7 matches
Conceded
Season per-match averages, conceded
12.2
Shots
12.4
3.6
Shots on target
3.4
4.0
Corners
5.1
1.40
Cards
1.71
12.8
Fouls
11.6
44
Possession %
47
1.04
xG
1.11
5 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.
Avellino
Metric
Pisa
1.40
Goals scored
1.60 (better)
1.40 (better)
Goals conceded
1.60
1.38
Expected goals (xG)
2.41 (better)
—
Big chances *
—
3.80
Shots on target
4.75 (better)
13.80
Total shots
14.25 (better)
—
Touches in opp. box *
—
3.40
Corners
6.00 (better)
53.0 (better)
Possession %
48.0
426
Passes
429 (better)
—
Tackles
—
8.40 (better)
Fouls
10.00
1.25
Offsides
1.00 (better)
—
Throw-ins *
—
1.80 (better)
Yellow cards
2.50
0.00
Red cards
0.00
* 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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