Paderborn’s exposed backline invites pressure, while Stuttgart’s stronger attacking expectation and corner threat should keep the contest moving forward. With both sides carrying incentive to seize control, sustained momentum makes goals beyond the opening strike likely.
Match GoalsOver 2.5
Лучший выбор
Больше 2.5
75%
Точный счёт
2-1
7.8%
19.00
1-1
7.5%
8.50
2-2
7.3%
13.00
1-2
7%
8.50
3-1
5.4%
41.00
3-2
5.1%
41.00
2-3
4.6%
21.00
1-3
4.4%
11.00
144%
5.75TOP
X21%
4.20
236%
1.53
1X65%
X257%
1280%
Экспресс
3 выборов
Stuttgart’s 2.42 xG against Paderborn’s 1.05 points to an away side likely to control the contest, while Paderborn’s defence is 5% weaker than average. The 3.47 combined xG supports over 2.5 goals, with enough home threat for both teams to score as Stuttgart emerge as the likeliest winners.
1Match WinnerVfB Stuttgart
2Match GoalsOver 2.5
3Both Teams to ScoreYes
Probable XI3-5-2
Pruhs
Götze
Horst
Sticker
Lippmann
Curda
Đurić
Mohr
Obermair
Zeitler
Vidovic
Impact Player Hot Head Shooter
Marvin Pieringer — always sniffing around the box — the kind of player who just ends up on the scoresheet
Rayan Philippe — always sniffing around the box — the kind of player who just ends up on the scoresheet
Stefano Marino — gets in behind constantly, so a goal here would surprise nobody
Составы ещё не объявлены — полный анализ игроков ниже
Paderborn21 игроков
51.0/ 99Средний
Лучшие
1Mattes HansenDEF61
2Sven MichelFWD59
3Deniz ZeitlerFWD58
VfB Stuttgart26 игроков
55.2/ 99Сильный
Лучшие
1Angelo StillerMID77
2Leonidas Stergiou DEF75
3Atakan Karazor MID70
Paderborn35
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Mattes Hansen61545467
Sven Michel59644550
Deniz Zeitler58605450
Laurin Curda57526056
Steffen Tigges57545461
Felix Götze 56515261
Jano ter Horst55495161
Gabriel Vidovic54515161
Tjark Scheller53534756
Nyamekye Awortwie-Grant52544850
Nick Bätzner52504956
Markus Schubert51513950
Jonah Sticker49444956
VfB Stuttgart47
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Angelo Stiller77796366
Leonidas Stergiou 75994550
Atakan Karazor 70495791
Josha Vagnoman66456478
Maximilian Mittelstädt64495478
Tiago Tomás61645850
Nikolas Nartey59634956
Fabian Bredlow57583450
Ameen Al-Dakhil57674550
Jeff Chabot57585453
Luca Jaquez57526156
Jarzinho Malanga56545656
Dzenan Pejcinovic56623950
Прогнозы до матча· Составы ещё не объявлены
Бомбардиры
Нападающие с высоким импактом
1
Sven Michel
Paderborn
Импакт
64
4.75
2
Tiago Tomás
VfB Stuttgart
Импакт
64
2.30
3
Dzenan Pejcinovic
VfB Stuttgart
Импакт
62
2.10
4
Deniz Zeitler
Paderborn
Импакт
60
4.75
5
Stefano Marino
Paderborn
Импакт
60
3.60
6
Deniz Undav
VfB Stuttgart
Импакт
57
1.80
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Sven MichelPaderborn
64
2
Tiago TomásVfB Stuttgart
64
3
Dzenan PejcinovicVfB Stuttgart
62
4
Deniz ZeitlerPaderborn
60
5
Stefano MarinoPaderborn
60
Стена
Лучшие защитники
1
Leonidas Stergiou VfB Stuttgart
99
2
Ameen Al-DakhilVfB Stuttgart
67
3
Jeff ChabotVfB Stuttgart
58
4
Mattes HansenPaderborn
54
5
Nyamekye Awortwie-GrantPaderborn
54
Контроль
Лучшие плеймейкеры
1
Angelo StillerVfB Stuttgart
79
2
Bilal El KhannoussVfB Stuttgart
63
3
Nikolas NarteyVfB Stuttgart
63
4
Jarzinho MalangaVfB Stuttgart
54
5
Laurin CurdaPaderborn
52
Хулиганы
Склонны к карточкам
1
Raphael ObermairPaderborn
1
Агрессия 59
2
Stefano MarinoPaderborn
15
Агрессия 56
3
Chris FührichVfB Stuttgart
15
Агрессия 55
4
Bilal El KhannoussVfB Stuttgart
27
Агрессия 57
5
Grischa PrömelVfB Stuttgart
33
Агрессия 53
Рейтинг силы
Сильнейшие в целом
1
Angelo StillerVfB Stuttgart
77
2
Leonidas Stergiou VfB Stuttgart
75
3
Atakan Karazor VfB Stuttgart
70
4
Josha VagnomanVfB Stuttgart
66
5
Maximilian MittelstädtVfB Stuttgart
64
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Paderborn vs VfB Stuttgart 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 Paderborn vs VfB Stuttgart 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 Paderborn 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 Paderborn vs VfB Stuttgart 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 Paderborn 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.