· Major League Soccer
芝加哥火焰
ATT
5/10
DEF
5/10
vs
奥兰多城
7/10
ATT
1/10
DEF
未开始· Thu 29 Oct · 00:30
最佳推荐
两队进球
62%
精确比分
顶级
1-1
10.5%
10.00
顶级
2-1
9.3%
9.50
1-0
7.7%
15.00
1-2
7.2%
15.00
2-0
6.8%
13.00
2-2
6.4%
12.00
0-1
5.9%
23.00
3-1
5.5%
12.00
147%
1.57TOP
X23%
4.50
230%
4.75
1X70%
X253%
1277%
Probable XI3-5-2
Brady
Hanche-Olsen
Gutman
Elliott
Salétros
Mekvabishvili
Poreba
D'Avilla
Gómez
Boltz
Bamba
Impact Player Hot Head Shooter

Dean Boltz — the danger man up front — one good ball and he is away

Philip Zinckernagel — gets in behind constantly, so a goal here would surprise nobody

Robert Lewandowski  — lives for the goal, and when he smells a chance he rarely hesitates

阵容尚未公布 — 下方为完整球队分析
芝加哥火焰32 球员
48.2/ 99中等
最佳
1Hugo CuypersFWD80
2Anzor MekvabishviliMID71
3Viktor RadojevićDEF58
奥兰多城30 球员
43.9/ 99中等
最佳
1Tyrese SpicerFWD91
2B. OjedaMID68
3Wilder José Cartagena MendozaMID64
芝加哥火焰36
Player综合评分影响力侵略性纪律
Hugo Cuypers80766578
Anzor Mekvabishvili71769543
Viktor Radojević58589835
Andrew Gutman57485763
Sergio Oregel57826224
Robert Lewandowski 57484881
Andreas Hanche-Olsen56445467
Jack Elliott 56813831
Christopher Cupps55624650
Leonardo Barroso52266570
P. Dithejane5173321
Djé D'Avilla50646429
Chris Brady 49484153
奥兰多城37
Player综合评分影响力侵略性纪律
Tyrese Spicer91995867
B. Ojeda68494991
Wilder José Cartagena Mendoza64489962
David Brekalo61644958
Griffin Dorsey61327191
Adrián Marín57486558
Antoine Griezmann55574853
Daryl Dike51413883
Yutaro Tsukada51398561
Maxime Crépeau49484149
I. Gómez47469926
Javier Otero46463950
Eduard Andrés Atuesta Velasco46686715
赛前预测· 阵容尚未公布
最佳射手
高影响力前锋
1
Tyrese Spicer
奥兰多城
影响
99
4.00
2
P. Dithejane
芝加哥火焰
影响
73
3.60
3
Antoine Griezmann
奥兰多城
影响
57
2.30
4
Robert Lewandowski 
芝加哥火焰
影响
48
1.61
5
Harvey Sarajian
奥兰多城
影响
47
3.40
6
Philip Zinckernagel
芝加哥火焰
影响
43
2.20
球员排名
狙击手
最大进球威胁
1
Tyrese Spicer奥兰多城
99
2
Hugo Cuypers芝加哥火焰
76
3
P. Dithejane芝加哥火焰
73
4
Antoine Griezmann奥兰多城
57
5
Robert Lewandowski 芝加哥火焰
48
城墙
最佳后卫
1
Jack Elliott 芝加哥火焰
81
2
Mbekezeli Mbokazi芝加哥火焰
80
3
Iago Teodoro奥兰多城
75
4
Sam Rogers芝加哥火焰
64
5
David Brekalo奥兰多城
64
控制
最佳组织者
1
Sergio Oregel芝加哥火焰
82
2
Anzor Mekvabishvili芝加哥火焰
76
3
Eduard Andrés Atuesta Velasco奥兰多城
68
4
Djé D'Avilla芝加哥火焰
64
5
Anton Salétros芝加哥火焰
58
坏小子
最可能吃牌
1
Mbekezeli Mbokazi芝加哥火焰
1
2
Jonathan Bamba芝加哥火焰
1
3
P. Dithejane芝加哥火焰
1
4
Nolan Miller奥兰多城
1
5
Robin Jansson奥兰多城
1
力量排名
综合最强
1
Tyrese Spicer奥兰多城
91
2
Hugo Cuypers芝加哥火焰
80
3
Anzor Mekvabishvili芝加哥火焰
71
4
B. Ojeda奥兰多城
68
5
Wilder José Cartagena Mendoza奥兰多城
64

常见问题

Our Poisson model calculates the probability of every possible scoreline for 芝加哥火焰 vs 奥兰多城 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 芝加哥火焰 vs 奥兰多城 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 芝加哥火焰 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 芝加哥火焰 vs 奥兰多城 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 芝加哥火焰 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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