· Major League Soccer
San Diego
ATT
6/10
DEF
4/10
0:1
Sporting KC
3/10
ATT
3/10
DEF
Конец
Лучший выбор
Больше 2.5
63%
Точный счёт95′
Отличная
2-1
9.9%
9.50
Отличная
1-1
9.2%
10.00
2-0
9%
13.00
1-0
8.4%
17.00
3-1
7.1%
11.00
3-0
6.5%
15.00
2-2
5.4%
11.00
1-2
5%
17.00
161%
1.63TOP
X20%
4.97
218%
5.43
1X81%
X238%
1279%
xG — Ожидаемые голы
San Diego
San Diego ожид.
Sporting KC
Sporting KC ожид.
goal
за 15 мин
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
San Diego
Sporting KC
Confirmed XI4-3-3
13
Sisniega
3
Þór­halls­son
97
McVey
26
Duah
5
Sargeant
70
Alvarado
15
Soma
8
Valakari
10
Dreyer
7
Ingvartsen
14
Zamblé
Impact Player Hot Head
San Diego33 игроков
53.0/ 99Средний
Лучшие
1Cédric BakambuFWD85
2Pedro SomaMID82
3Jeppe Tverskov MID76
Sporting KC30 игроков
52.6/ 99Средний
Лучшие
1Jansen MillerDEF86
2Moisés MosqueraDEF75
3Ian JamesDEF62
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Cédric BakambuSan Diego
86
2
Anders DreyerSan Diego
63
3
Anisse SaidiSan Diego
59
4
Marcus IngvartsenSan Diego
58
5
Stephen AfrifaSporting KC
57
Стена
Лучшие защитники
1
Moisés MosqueraSporting KC
87
2
Jansen MillerSporting KC
82
3
Ethan BartlowSporting KC
71
4
Wyatt MeyerSporting KC
64
5
Diego BorgesSporting KC
61
Контроль
Лучшие плеймейкеры
1
Jeppe Tverskov San Diego
99
2
Aníbal GodoySan Diego
94
3
Pedro SomaSan Diego
84
4
Lasse Berg JohnsenSporting KC
75
5
Manu GarcíaSporting KC
70
Хулиганы
Склонны к карточкам
1
Anders DreyerSan Diego
1
2
Taylor CalheiraSporting KC
19
3
Ian PilcherSan Diego
20
4
Manu DuahSan Diego
24
5
Manu GarcíaSporting KC
25
Рейтинг силы
Сильнейшие в целом
1
Jansen MillerSporting KC
86
2
Cédric BakambuSan Diego
85
3
Pedro SomaSan Diego
82
4
Jeppe Tverskov San Diego
76
5
Moisés MosqueraSporting KC
75

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for San Diego vs Sporting KC 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 San Diego vs Sporting KC 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 San Diego 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 San Diego vs Sporting KC 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 San Diego 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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