· Champions League
曼联
ATT
7/10
DEF
5/10
vs
罗马
7/10
ATT
6/10
DEF
未开始· Tue 3 Nov · 20:00

AI比赛分析

进球数大于2.5看起来是合乎逻辑的选择:曼联的进攻比平均水平高出43%,罗马的进攻则强41%,两队都拥有足够的火力,让这场欧冠对决保持精彩。罗马稳固的防守或许能顶住开场阶段的压力,但曼联的进攻意图和罗马的反击威胁应该会创造出机会,双方都在力争拿下比赛。

比赛进球数大于 2.5
最佳推荐
大 2.5
67%
精确比分
顶级
1-1
9.3%
7.00
顶级
2-1
9.2%
9.50
1-2
6.8%
11.00
2-2
6.7%
11.00
1-0
6.3%
12.00
2-0
6.3%
15.00
3-1
6.1%
17.00
0-1
4.7%
15.00
150%
2.25TOP
X22%
3.40
229%
2.88
1X72%
X251%
1279%

组合投注

3 选项

Manchester United’s 2.11 xG at home points to the stronger attacking platform, while Roma’s 1.11 xG adds a credible route to a three-goal game. With both attacks rated strongly, Over 2.5 looks well supported; United should have the edge, and Sesko is a logical anytime scorer in a match that appears likely to suit his goal threat.

1Match WinnerManchester United
2Match GoalsOver 2.5
3GoalscorersAnytime
Probable XI3-5-2
Bayındır
Heaven
Dalot
Amass
Santos
Fernandes
Baleba
Mainoo
Mount
Diallo
Šeško
Impact Player Hot Head Shooter

Bruno Fernandes  — always sniffing around the box — the kind of player who just ends up on the scoresheet

Benjamin Šeško — gets in behind constantly, so a goal here would surprise nobody

Bryan Mbeumo — always sniffing around the box — the kind of player who just ends up on the scoresheet

阵容尚未公布 — 下方为完整球队分析
曼联27 球员
56.7/ 99强
最佳
1S. LaceyFWD94
2Youri Tielemans MID90
3Matheus CunhaFWD83
罗马29 球员
54.0/ 99中等
最佳
1Bryan CristanteMID86
2Donyell MalenFWD77
3Jan ZiolkowskiDEF72
曼联46
Player综合评分影响力侵略性纪律
S. Lacey94999967
Youri Tielemans 90855991
Matheus Cunha83805191
Benjamin Šeško82992061
Manuel Ugarte76639982
Leny Yoro68505486
Kobbie Mainoo67714168
Bruno Fernandes 65983231
Carlos Baleba63545869
Noussair Mazraoui61536858
J. Fletcher58476461
Mason Mount58777826
Lisandro Martínez 56433786
罗马42
Player综合评分影响力侵略性纪律
Bryan Cristante86957062
Donyell Malen77992137
Jan Ziolkowski72839237
Manu Koné71656766
Daniele Ghilardi68478781
Paulo Dybala66623291
Marten de Roon 61816730
Antonio Arena60673950
Gianluca Mancini59346875
Niccolò Pisilli59795732
Artem Dovbyk5981419
Leonardo Balerdi 56537146
Evan Ndicka55543865
赛前预测· 阵容尚未公布
最佳射手
高影响力前锋
1
Benjamin Šeško
曼联
影响
99
2.57
2
S. Lacey
曼联
影响
99
4.50
3
Donyell Malen
罗马
影响
99
2.26
4
Matheus Cunha
曼联
影响
80
2.95
5
Bryan Mbeumo
曼联
影响
75
2.82
6
Joshua Zirkzee
曼联
影响
64
3.33
球员排名
狙击手
最大进球威胁
1
Benjamin Šeško曼联
99
2
S. Lacey曼联
99
3
Donyell Malen罗马
99
4
Artem Dovbyk罗马
81
5
Matheus Cunha曼联
80
城墙
最佳后卫
1
Jan Ziolkowski罗马
83
2
Evan Ndicka罗马
54
3
Noussair Mazraoui曼联
53
4
Leonardo Balerdi 罗马
53
5
Ayden Heaven曼联
50
控制
最佳组织者
1
Bruno Fernandes 曼联
98
2
Bryan Cristante罗马
95
3
Youri Tielemans 曼联
85
4
Marten de Roon 罗马
81
5
Niccolò Pisilli罗马
79
坏小子
最可能吃牌
1
Andrey Santos曼联
1
2
Bryan Mbeumo曼联
1
3
Joshua Zirkzee曼联
1
4
Matías Soulé罗马
1
5
Artem Dovbyk罗马
9
力量排名
综合最强
1
S. Lacey曼联
94
2
Youri Tielemans 曼联
90
3
Bryan Cristante罗马
86
4
Matheus Cunha曼联
83
5
Benjamin Šeško曼联
82

常见问题

Our Poisson model calculates the probability of every possible scoreline for 曼联 vs 罗马 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 曼联 vs 罗马 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 曼联 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 曼联 vs 罗马 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 曼联 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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