Modena won 3 of the last 5WDWWL2nd3–0Cesena won 2 of the last 5WDWLD13th
Match statistics
Full-time statistics
Modena
Cesena
19
Shots
4
5
Shots on target
1
7
Corners
1
5
Fouls
12
0
Yellow cards
1
0
Red cards
1
1
Offsides
1
664
Passes
288
70%
Possession %
30%
2.19
xG
0.18
56%
25%
20%
1 · ModenaXCesena · 2
Over 1.5
75%
Over 2.5
50%
Over 3.5
28%
Both score
51%
Model pick
Modena 56%
Likely score
1-1 12%
Expected goals
1.73 – 0.94
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
Modena
55.5%
1.80
1.57 Bet365
63.7%
-8.2
Match result
Draw
24.8%
4.03
4.30 Dafabet
23.3%
+1.5
Match result
Cesena
19.7%
5.08
6.00 Bet365
16.7%
+3.0
Total goals
Over 1.5
75.1%
1.33
1.25 Betano
80.0%
-4.9
Total goals
Under 1.5
24.9%
4.01
4.80 Betfair
20.8%
+4.1
Total goals
Over 2.5
49.8%
2.01
1.75 Betano
57.1%
-7.3
Total goals
Under 2.5
50.2%
1.99
—
—
—
Total goals
Over 3.5
27.9%
3.59
2.87 Betano
34.8%
-7.0
Total goals
Under 3.5
72.1%
1.39
1.45 Betano
69.0%
+3.2
Both teams to score
Both teams to score — Yes
50.6%
1.98
1.83 Betano
54.6%
-4.1
Both teams to score
Both teams to score — No
49.4%
2.02
2.00 Betfair
50.0%
-0.6
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.
Modena favoured against Cesena
Our model makes Modena 56% to win this Serie B fixture, with the draw at 25% and Cesena at 20%. The goal projection is 1.73 for Modena against 0.94 for Cesena — a substantial edge to Modena 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 51%. 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%
2-0 10%
2-1 10%
0-0 8%
This season
Season records for Modena and Cesena
Modena
Cesena
11
Played
11
7-2-2
W-D-L
3-6-2
2.09
Pts / game
1.36
1.82
Goals for / game
1.09
0.91
Goals against / game
1.27
64%
Over 2.5
36%
64%
BTTS
73%
27%
Clean sheets
9%
9%
Failed to score
18%
3-1-1
Home record
2-4-0
4-1-1
Away record
1-2-2
W1
Streak
W1
2026/27 league matches only, computed from results on record. Modena · Cesena
Full-match statistics, per game this season
Produced
Season per-match averages, produced
16.1
Shots
13.8
5.0
Shots on target
3.7
4.0
Corners
4.5
1.57
Cards
2.17
10.9
Fouls
12.5
59
Possession %
45
1.60
xG
1.38
7 matches
sample
6 matches
Conceded
Season per-match averages, conceded
9.0
Shots
15.8
3.3
Shots on target
4.8
3.4
Corners
5.5
3.17
Cards
1.67
15.1
Fouls
10.0
41
Possession %
55
0.88
xG
1.28
7 matches
sample
6 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Modena
Metric
Cesena
1.80 (better)
Goals scored
1.20
1.00 (better)
Goals conceded
1.40
1.52 (better)
Expected goals (xG)
0.96
—
Big chances *
—
7.00 (better)
Shots on target
3.00
23.20 (better)
Total shots
12.80
—
Touches in opp. box *
—
5.60 (better)
Corners
4.80
56.6 (better)
Possession %
48.4
492 (better)
Passes
439
—
Tackles
—
12.20 (better)
Fouls
13.40
5.25
Offsides
3.80 (better)
—
Throw-ins *
—
1.80
Yellow cards
1.60 (better)
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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