· Serie A
Inter Milan
ATT
10/10
DEF
6/10
0:0
佛罗伦萨
5/10
ATT
3/10
DEF
直播 46′

AI比赛分析

国米强劲的进攻火力,加上主场出色的进球前景,应该会让佛罗伦萨脆弱的防线持续承受压力。客队也具备足够的进攻威胁,有望贡献进球,而国米的统治力很可能让比赛不再是一场谨慎的较量。大于2.5球看起来是顺理成章的结果。

比赛进球数大于 2.5
最佳推荐
主队胜
79%
精确比分46′
顶级
2-0
13.9%
8.50
顶级
3-0
11.8%
10.00
1-0
10.9%
11.00
2-1
8.5%
9.00
4-0
7.5%
15.00
3-1
7.2%
10.00
1-1
6.6%
11.00
4-1
4.6%
15.00
179%
1.57TOP
X14%
3.40
27%
7.50
1X93%
X221%
1286%
进球概率更新中
95%
Before FT
Next 5'
28%
Next 10'
49%
Inter Milan xG
1.16
exp 0.57+0.59
佛罗伦萨 xG
0.15
exp 0.57-0.42
End to end
xG — Expected Goals
Inter Milan
Inter Milan exp
佛罗伦萨
佛罗伦萨 exp
goal
Inter Milan35Avg 20 · Peak 45
Open
佛罗伦萨4Avg 8 · Peak 19
Momentum
0'15'30'HT60'75'90'
GoalShot
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Inter Milan
佛罗伦萨
46′Trends
Dead Game
Inter Milan
10-min momentum
佛罗伦萨
82%18%
Inter Milan xG
1.16
exp 0.64+0.52
佛罗伦萨 xG
0.15
exp 0.64-0.49
Goal Probability Window
Next 5'
28%
Next 10'
49%
Next 15'
63%
Attack vs Defense
Inter Milan Attack
10.0/10
佛罗伦萨 Attack
5.3/10
Inter Milan Defense
8.1/10
佛罗伦萨 Defense
2.1/10
FT Predictions
大 0.5热门
79%
大 1.5热门
79%
大 2.5热门
56%
大 3.5
34%
小 1.5
21%
小 2.5
44%
小 3.5热门
66%
两队进球
24%
No more goals
5%
Next Goal
Inter Milan scores next热门
85%
佛罗伦萨 scores next
10%
No more goals
5%
Inter Milan
3
exp 2.4+0.6
佛罗伦萨
0
exp 2.4-2.4
Goal Probability Window
Next 5'
35%
Next 10'
57%
Next 15'
72%
FT Corners · 3 scored
大 9.5
9%
小 9.5热门
91%
大 8.5
18%
小 8.5热门
82%
大 7.5
32%
Next Corner
Inter Milan wins next corner
50%
佛罗伦萨 wins next corner
50%
Inter Milan
0
exp 0.9-0.9
佛罗伦萨
0
exp 0.9-0.9
总计
0/ 3.5
Late-game intensity
Low
~0.9 remaining
0.9
Exp. FT
3.5
FT Cards Predictions
大 3.5
1%
小 3.5热门
99%
大 2.5
6%
小 2.5热门
94%
Live 1X2
Inter Milan 胜热门
85%
平局
10%
佛罗伦萨 胜
3%
Goals
大 2.5热门
56%
小 2.5
44%
两队进球
24%
Corners
大 9.5
9%
大 8.5
18%
Pressure Index
Inter Milan35
佛罗伦萨4
Confirmed XI3-5-2
49
Provedel
31
Bisseck
25
Akanji
95
Bastoni
17
Diouf
23
Barella
20
Çalhanoğlu
22
Mkhitaryan
30
Augusto
94
Esposito
9
Thuram
Impact Player Hot Head
Inter Milan32 球员
54.3/ 99中等
最佳
1Lautaro Martínez FWD87
2Marcus ThuramFWD80
3Ebenezer AkinsanmiroMID79
佛罗伦萨36 球员
47.3/ 99中等
最佳
1Moise KeanFWD78
2Pietro ComuzzoDEF68
3Radu Drăgușin  DEF67
球员排名
狙击手
最大进球威胁
1
Lautaro Martínez Inter Milan
98
2
Moise Kean佛罗伦萨
97
3
Marcus ThuramInter Milan
78
4
Pio EspositoInter Milan
70
5
Franco Mastantuono佛罗伦萨
62
城墙
最佳后卫
1
Nicolás Valentini 佛罗伦萨
75
2
John StonesInter Milan
67
3
Radu Drăgușin  佛罗伦萨
65
4
Luís Balbo佛罗伦萨
57
5
Pietro Comuzzo佛罗伦萨
57
控制
最佳组织者
1
Hakan Çalhanoğlu Inter Milan
90
2
Kristjan AsllaniInter Milan
81
3
Nicolò Fagioli佛罗伦萨
78
4
Nicolò BarellaInter Milan
73
5
Piotr Zieliński Inter Milan
71
坏小子
最可能吃牌
1
Carlos AugustoInter Milan
1
2
Hakan Çalhanoğlu Inter Milan
1
3
Luca Ranieri 佛罗伦萨
1
4
Matías Moreno佛罗伦萨
1
5
Dodô佛罗伦萨
7
力量排名
综合最强
1
Lautaro Martínez Inter Milan
87
2
Marcus ThuramInter Milan
80
3
Ebenezer AkinsanmiroInter Milan
79
4
Moise Kean佛罗伦萨
78
5
Pio EspositoInter Milan
69

常见问题

Our Poisson model calculates the probability of every possible scoreline for Inter Milan vs 佛罗伦萨 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 Inter Milan vs 佛罗伦萨 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 Inter Milan 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 Inter Milan vs 佛罗伦萨 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 Inter Milan 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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