Italy Serie A
Stadio Giuseppe Sinigaglia
Como
W W W W W L
VS
xG 1.08 - 1.78
Bologna
W L W W W W

Mathematical Predictions: Como vs Bologna

TOTAL GOALS
Over 2.5
Probability 54.50% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Como team crest Como Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Como
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ Inter X O2.5 2-0
04 Nov 26 @ Lens X O2.5 1-9
01 Nov 26 vs Venezia 1 O2.5 1-0
27 Oct 26 @ Torino 2 O2.5 1-3
24 Oct 26 vs Sassuolo 1 O2.5 2-0

Bologna team crest Bologna Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Bologna
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Parma X U2.5 1-2
31 Oct 26 vs Monza 1 O2.5 2-1
28 Oct 26 @ AC Milan X U2.5 2-4
24 Oct 26 @ Cagliari X U2.5 0-2
17 Oct 26 vs Inter 2 O2.5 1-3

Como vs Bologna

H2H, Match Stats & Analysis
Italy Serie A
Stadio Giuseppe Sinigaglia
In their previous 4 head-to-head matches, Como scored an average of 0.75 goals per match, compared to Bologna 1.50 goals.
Over their last 10 matches, Como scored an average of 1.00 and conceded 0.17, whereas Bologna scored 1.67 and conceded 1.00.

What are the expected goals (xG) predicted in Como vs Bologna match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.08 for Como and 1.78 for Bologna. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 54.50%.

H2H - Como vs. Bologna

12 Dec 26
Como
-
(HT -)
Bologna
10 Jan 26
Como
1 - 1
(HT 0-0)
Bologna
30 Aug 25
Bologna
1 - 0
(HT 0-0)
Como
01 Feb 25
Bologna
2 - 0
(HT 1-0)
Como
14 Sep 24
Como
2 - 2
(HT 1-0)
Bologna

Team Form (Last 6)

Home Crest Como

21 Oct vs Manchester United 4-1
W
24 Oct vs Sassuolo 2-0
W
27 Oct @ Torino 1-3
W
01 Nov vs Venezia 1-0
W
04 Nov @ Lens 1-9
W
08 Nov @ Inter 2-0
L

Away Crest Bologna

11 Oct @ Lecce 1-2
W
17 Oct vs Inter 1-3
L
24 Oct @ Cagliari 0-2
W
28 Oct @ AC Milan 2-4
W
31 Oct vs Monza 2-1
W
07 Nov @ Parma 1-2
W

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.