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
Лучший выбор
ОБЕ ЗАБЬЮТ
60%
Точный счёт
Отличная
1-1
10.8%
8.00
Отличная
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%
Экспресс
4 выборов
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
Составы ещё не объявлены — полный анализ игроков ниже
Sporting KC29 игроков
52.5/ 99Средний
Лучшие
1Jansen MillerDEF80
2Moisés MosqueraDEF76
3Zorhan BassongMID67
Austin26 игроков
48.0/ 99Средний
Лучшие
1Brandon Vazquez FWD72
2Daniel PereiraMID65
3Owen WolffMID65
Sporting KC35
PlayerОбщий РейтингВлияниеАгрессияДисциплина
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
Austin31
PlayerОбщий РейтингВлияниеАгрессияДисциплина
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
Прогнозы до матча· Составы ещё не объявлены
Бомбардиры
Нападающие с высоким импактом
1
Brandon Vazquez
Austin
Импакт
62
2.75
2
Stephen Afrifa
Sporting KC
Импакт
51
2.89
3
Taylor Calheira
Sporting KC
Импакт
49
2.75
4
André Luiz
Sporting KC
Импакт
45
2.21
5
Myrto Uzuni
Austin
Импакт
42
2.89
6
Shapi Suleymanov
Sporting KC
Импакт
41
3.42
Кандидаты на Карточку
Низкая дисциплина + высокая агрессия
1
Mikkel Desler
Austin
Дисц
18
Агр
58
3.96
2
Myrto Uzuni
Austin
Дисц
1
Агр
36
8.20
3
Zorhan Bassong
Sporting KC
Дисц
52
Агр
82
3.58
4
Stephen Afrifa
Sporting KC
Дисц
47
Агр
76
7.70
5
Taylor Calheira
Sporting KC
Дисц
1
Агр
29
7.70
6
Ilie Sánchez
Austin
Дисц
1
Агр
28
3.96
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Brandon Vazquez Austin
62
2
Dejan JoveljićSporting KC
52
3
Stephen AfrifaSporting KC
51
4
Jayden NelsonAustin
51
5
Taylor CalheiraSporting KC
49
Стена
Лучшие защитники
1
Moisés MosqueraSporting KC
87
2
Jansen MillerSporting KC
76
3
Ethan BartlowSporting KC
71
4
Oleksandr SvatokAustin
69
5
Jon Bell Austin
68
Контроль
Лучшие плеймейкеры
1
Lasse Berg JohnsenSporting KC
74
2
Manu GarcíaSporting KC
70
3
Zorhan BassongSporting KC
65
4
Daniel PereiraAustin
65
5
Ervin TorresAustin
56
Хулиганы
Склонны к карточкам
1
Taylor CalheiraSporting KC
1
Агрессия 29
2
Ilie Sánchez Austin
1
Агрессия 28
3
Myrto UzuniAustin
1
Агрессия 36
4
Mikkel DeslerAustin
18
Агрессия 58
5
Besard SabovicAustin
23
Агрессия 46
Рейтинг силы
Сильнейшие в целом
1
Jansen MillerSporting KC
80
2
Moisés MosqueraSporting KC
76
3
Brandon Vazquez Austin
72
4
Zorhan BassongSporting KC
67
5
Kwaku AgyabengSporting KC
65
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Sporting KC vs Austin 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 Sporting KC vs Austin 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 Sporting KC 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 Sporting KC vs Austin 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 Sporting KC 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.