· Major League Soccer
体育堪萨斯城
ATT
4/10
DEF
2/10
vs
奥斯汀
4/10
ATT
4/10
DEF
未开始· Sun 25 Oct · 00:30

AI比赛分析

Sporting Kansas City and Austin FC carry enough attacking threat to stretch this contest, while fragile backlines invite mistakes. Their combined chance creation points toward an open MLS battle, with defensive lapses making goals beyond the initial exchange the most likely outcome.

Match GoalsOver 2.5
最佳推荐
两队进球
60%
精确比分
顶级
1-1
10.8%
8.00
顶级
2-1
9.4%
9.50
1-0
8.2%
13.00
1-2
7.1%
11.00
2-0
7.1%
15.00
0-1
6.3%
15.00
2-2
6.2%
11.00
3-1
5.4%
15.00
147%
2.20TOP
X24%
3.90
229%
2.90
1X71%
X253%
1276%

组合投注

4 选项

Sporting Kansas City or draw looks the logical side: home xG is 1.71 against Austin’s 1.63, while Austin’s defense is 26% weaker than average. Their combined 3.34 xG supports Over 2.5; 10.10 expected corners and 3.91 expected cards also point toward Over 8.5 corners and Over 3.5 cards.

1Double ChanceSporting Kansas City or Draw
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
4Total CardsOver 3.5
Probable XI3-5-2
Kortkamp
Borges
Karic
James
Bartlett
Agyabeng
Johnsen
Ramos
Bassong
Luiz
Harris
Impact Player Hot Head Shooter Bad Boy

André Luiz — the go-to finisher in this side, and he loves these nights

Stephen Afrifa — always sniffing around the box — the kind of player who just ends up on the scoresheet

Taylor Calheira — always sniffing around the box — the kind of player who just ends up on the scoresheet

Jake Davis — plays on the edge, and the referee usually notices sooner or later

Moisés Mosquera — lets emotions run high in big moments — one late tackle away from a booking

Zorhan Bassong — known for a few words too many with the officials

阵容尚未公布 — 下方为完整球队分析
体育堪萨斯城29 球员
52.5/ 99中等
最佳
1Jansen MillerDEF80
2Moisés MosqueraDEF76
3Zorhan BassongMID67
奥斯汀26 球员
48.0/ 99中等
最佳
1Brandon Vazquez FWD72
2Daniel PereiraMID65
3Owen WolffMID65
体育堪萨斯城35
Player综合评分影响力侵略性纪律
Jansen Miller80767564
Moisés Mosquera76877049
Zorhan Bassong67658252
Kwaku Agyabeng65516870
Lasse Berg Johnsen62744449
Jayden Reid61327590
Ethan Bartlow60712866
Ian James60414391
Or Blorian60554078
Dejan Joveljić60523690
Jake Davis57346770
Macielo Tschantret54475261
Stephen Afrifa53517647
奥斯汀31
Player综合评分影响力侵略性纪律
Brandon Vazquez 72626491
Daniel Pereira65654767
Owen Wolff65407191
Jorge Alastuey62564772
Jon Gallagher57335482
Mateja Djordjevic55466555
CJ Fodrey55455772
Jayden Nelson54518047
Brad Stuver5253950
J. Rosales52414967
Oleksandr Svatok52693043
Nicolás Dubersarsky52486747
Damian Las51523950
赛前预测· 阵容尚未公布
最佳射手
高影响力前锋
1
Brandon Vazquez 
奥斯汀
影响
62
2.75
2
Stephen Afrifa
体育堪萨斯城
影响
51
2.89
3
Taylor Calheira
体育堪萨斯城
影响
49
2.75
4
André Luiz
体育堪萨斯城
影响
45
2.21
5
Myrto Uzuni
奥斯汀
影响
42
2.89
6
Shapi Suleymanov
体育堪萨斯城
影响
41
3.42
吃牌候选
低纪律 + 高侵略性
1
Mikkel Desler
奥斯汀
纪律
18
侵略
58
3.96
2
Myrto Uzuni
奥斯汀
纪律
1
侵略
36
8.20
3
Zorhan Bassong
体育堪萨斯城
纪律
52
侵略
82
3.58
4
Stephen Afrifa
体育堪萨斯城
纪律
47
侵略
76
7.70
5
Taylor Calheira
体育堪萨斯城
纪律
1
侵略
29
7.70
6
Ilie Sánchez 
奥斯汀
纪律
1
侵略
28
3.96
球员排名
狙击手
最大进球威胁
1
Brandon Vazquez 奥斯汀
62
2
Dejan Joveljić体育堪萨斯城
52
3
Stephen Afrifa体育堪萨斯城
51
4
Jayden Nelson奥斯汀
51
5
Taylor Calheira体育堪萨斯城
49
城墙
最佳后卫
1
Moisés Mosquera体育堪萨斯城
87
2
Jansen Miller体育堪萨斯城
76
3
Ethan Bartlow体育堪萨斯城
71
4
Oleksandr Svatok奥斯汀
69
5
Jon Bell 奥斯汀
68
控制
最佳组织者
1
Lasse Berg Johnsen体育堪萨斯城
74
2
Manu García体育堪萨斯城
70
3
Zorhan Bassong体育堪萨斯城
65
4
Daniel Pereira奥斯汀
65
5
Ervin Torres奥斯汀
56
坏小子
最可能吃牌
1
Taylor Calheira体育堪萨斯城
1
2
Ilie Sánchez 奥斯汀
1
3
Myrto Uzuni奥斯汀
1
4
Mikkel Desler奥斯汀
18
5
Besard Sabovic奥斯汀
23
力量排名
综合最强
1
Jansen Miller体育堪萨斯城
80
2
Moisés Mosquera体育堪萨斯城
76
3
Brandon Vazquez 奥斯汀
72
4
Zorhan Bassong体育堪萨斯城
67
5
Kwaku Agyabeng体育堪萨斯城
65

常见问题

Our Poisson model calculates the probability of every possible scoreline for 体育堪萨斯城 vs 奥斯汀 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 体育堪萨斯城 vs 奥斯汀 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 体育堪萨斯城 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 体育堪萨斯城 vs 奥斯汀 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 体育堪萨斯城 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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