· Serie A
Como
ATT
7/10
DEF
7/10
0:0
AS Roma
7/10
ATT
6/10
DEF
Bitti
En iyi tahmin
Ev sahibi kazanır
56%
Doğru skor97′
Mükemmel
1-0
11.4%
11.00
Mükemmel
1-1
11%
7.00
2-0
10.1%
13.00
2-1
9.8%
9.50
0-0
6.4%
15.00
0-1
6.2%
13.00
3-0
6%
23.00
3-1
5.8%
17.00
156%
1.77TOP
X23%
4.31
220%
4.91
1X79%
X243%
1276%
xG — Beklenen goller
Como
Como bekl.
AS Roma
AS Roma bekl.
goal
15 dk'da bir
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Como
AS Roma
Confirmed XI4-5-1
1
Butez
27
Couto
4
Ramón
99
Chalobah
16
Kaiki 
5
Perrone
11
Diao
10
Paz
7
Cunha
8
Caqueret
9
Douvikas
Impact Player Hot Head
Como33 oyuncu
50.2/ 99Orta
En İyiler
1Moise KeanFWD77
2Lucas Da Cunha MID72
3Anastasios DouvikasFWD72
AS Roma26 oyuncu
55.2/ 99Güçlü
En İyiler
1Bryan CristanteMID86
2Donyell MalenFWD76
3Daniele GhilardiDEF71
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Donyell MalenAS Roma
99
2
Moise KeanComo
95
3
Artem DovbykAS Roma
82
4
Jesús RodríguezComo
72
5
Anastasios DouvikasComo
69
Duvar
En iyi savunmacılar
1
Jan ZiolkowskiAS Roma
88
2
Marc Oliver KempfComo
60
3
Evan NdickaAS Roma
59
4
Edoardo GoldanigaComo
57
5
Leonardo Balerdi AS Roma
57
Kontrol
En iyi oyun kurucular
1
Bryan CristanteAS Roma
87
2
Marten de Roon AS Roma
75
3
Niccolò PisilliAS Roma
74
4
Lucas Da Cunha Como
73
5
Luis MillaComo
65
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Alberto Dossena Como
1
2
Jacobo RamónComo
1
3
Álvaro MorataComo
1
4
Jesús RodríguezComo
1
5
Jayden AddaiComo
2
Güç sıralaması
Genel olarak en güçlüler
1
Bryan CristanteAS Roma
86
2
Moise KeanComo
77
3
Donyell MalenAS Roma
76
4
Lucas Da Cunha Como
72
5
Anastasios DouvikasComo
72

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Como vs AS Roma based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Como vs AS Roma match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Como has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Como vs AS Roma without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Como a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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