Fortuna’s defensive fragility gives Excelsior’s sharper attack room to strike, while the hosts’ home threat should keep the contest open. With both sides carrying credible scoring routes, the match appears primed to clear the goals line.
Match GoalsOver 1.5
Лучший выбор
ОБЕ ЗАБЬЮТ
62%
Точный счёт
Отличная
1-1
10.7%
7.00
Отличная
2-1
8.6%
9.50
1-2
8.2%
11.00
1-0
7.1%
12.00
0-1
6.7%
13.00
2-2
6.5%
11.00
2-0
5.7%
15.00
0-2
5.1%
17.00
140%
2.38TOP
X24%
3.70
236%
2.80
1X64%
X260%
1276%
Экспресс
3 выборов
Fortuna Sittard and Excelsior combine for 3.01 xG, with Fortuna’s fragile defense and Excelsior’s solid attack supporting goals at both ends. Their 9.62 expected corners also favors Over 8.5, making over 2.5 goals and both teams to score a compelling fit.
1Match GoalsOver 1.5
2Both Teams to ScoreYes
3Corners Over/UnderOver 8.5
Confirmed XI4-4-2
31
Branderhorst
12
Pinto
6
Ottele
3
Guth
28
Hubner
23
Brittijn
14
Simons
20
Michut
22
Zand
9
Descotte
25
Zeefuik
Impact Player Hot Head
Fortuna Sittard23 игроков
50.1/ 99Средний
Лучшие
1Iván MárquezDEF82
2Gani BüyükhanMID75
3M. GbemouMID75
Excelsior28 игроков
48.7/ 99Средний
Лучшие
1Casper WidellDEF74
2Stan HenderikxDEF74
3Noah NaujoksMID65
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Nesto GroenExcelsior
63
2
Anthony DescotteFortuna Sittard
52
3
Ole Romeny Fortuna Sittard
51
4
Alireza JahanbakhshExcelsior
48
5
Aymen SlitiExcelsior
46
Стена
Лучшие защитники
1
Rodrigo GuthFortuna Sittard
99
2
Iván MárquezFortuna Sittard
92
3
Casper WidellExcelsior
82
4
Justin HubnerFortuna Sittard
78
5
Syb van OtteleFortuna Sittard
66
Контроль
Лучшие плеймейкеры
1
M. GbemouFortuna Sittard
73
2
Gani BüyükhanFortuna Sittard
72
3
Mohamed IhattarenFortuna Sittard
62
4
Irakli YegoianExcelsior
57
5
Valentin Sulzbacher Excelsior
53
Хулиганы
Склонны к карточкам
1
P. BrittijnFortuna Sittard
1
Агрессия 60
2
Shiloh 't ZandFortuna Sittard
1
Агрессия 42
3
Valentin Sulzbacher Excelsior
1
Агрессия 81
4
Rodrigo GuthFortuna Sittard
4
Агрессия 41
5
Justin HubnerFortuna Sittard
5
Агрессия 43
Рейтинг силы
Сильнейшие в целом
1
Iván MárquezFortuna Sittard
82
2
Gani BüyükhanFortuna Sittard
75
3
M. GbemouFortuna Sittard
75
4
Casper WidellExcelsior
74
5
Stan HenderikxExcelsior
74
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Fortuna Sittard vs Excelsior 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 Fortuna Sittard vs Excelsior 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 Fortuna Sittard 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 Fortuna Sittard vs Excelsior 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 Fortuna Sittard 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.