· Serie B
Mantova
ATT
5/10
DEF
4/10
0:2
克雷莫纳
4/10
ATT
5/10
DEF
全场
最佳推荐
小 2.5
52%
精确比分94′
顶级
1-0
12.1%
8.00
顶级
1-1
11.8%
6.00
2-0
9.8%
11.00
2-1
9.5%
9.50
0-0
7.5%
9.50
0-1
7.3%
10.00
1-2
5.8%
12.00
3-0
5.3%
21.00
152%
1.91TOP
X25%
4.02
223%
4.38
1X77%
X248%
1275%
xG — Expected Goals
Mantova
Mantova exp
克雷莫纳
克雷莫纳 exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Mantova
克雷莫纳
Confirmed XI4-5-1
22
Bardi
58
Lungo
5
Tomašević
27
Castellini
50
Benaissa-Yahia
29
Cella
30
Bragantini
21
Trimboli
80
Kouda
19
Ruocco
9
Gliozzi
Impact Player Hot Head
Mantova33 球员
54.2/ 99中等
最佳
1César FallettiMID83
2Ettore GliozziFWD78
3Lorenzo IgnacchitiMID73
克雷莫纳29 球员
49.4/ 99中等
最佳
1Dachi LordkipanidzeMID70
2Matteo Bianchetti DEF67
3Fabio GerliMID61
球员排名
狙击手
最大进球威胁
1
Federico Bonazzoli克雷莫纳
82
2
Antonio FioriMantova
77
3
Ettore GliozziMantova
76
4
Leonardo MancusoMantova
68
5
Davide BragantiniMantova
52
城墙
最佳后卫
1
Eman KospoMantova
68
2
Tommaso Del LungoMantova
67
3
Stefano CellaMantova
59
4
Matteo Bianchetti 克雷莫纳
59
5
Andrea MeroniMantova
58
控制
最佳组织者
1
César FallettiMantova
99
2
Fabio Gerli克雷莫纳
81
3
Federico ArtioliMantova
78
4
Simone TrimboliMantova
77
5
Rachid KoudaMantova
66
坏小子
最可能吃牌
1
Federico ArtioliMantova
1
2
Antonio FioriMantova
1
3
Simone Pontisso克雷莫纳
1
4
Federico Bonazzoli克雷莫纳
1
5
Rachid KoudaMantova
15
力量排名
综合最强
1
César FallettiMantova
83
2
Ettore GliozziMantova
78
3
Lorenzo IgnacchitiMantova
73
4
Tommaso Del LungoMantova
72
5
Jean-Pierre LongondaMantova
71

常见问题

Our Poisson model calculates the probability of every possible scoreline for Mantova vs 克雷莫纳 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 Mantova vs 克雷莫纳 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 Mantova 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 Mantova vs 克雷莫纳 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 Mantova 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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