Persebaya’s home edge and stronger attack point to a front-foot start: their 1.24 first-half xG dwarfs Persijap’s 0.15, supporting a lead by the break. With 1.75 full-match xG against Persijap’s 0.59 and the visitors’ weak attack, Persebaya should control the match; their scoring pressure makes Over 2.5 a logical fit.
1Match WinnerPersebaya Surabaya
2Match GoalsOver 2.5
3First Half WinnerPersebaya Surabaya
Probable XI4-4-2
Arido
Akbar
Catur
Jefferson
Ari
Maulana
Wicaksono
Ramalho
Rivera
Alex
Suaib
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Persebaya Surabaya32 игроков
51.6/ 99Средний
Лучшие
1Ahmad Mujtaba Ilham AkbarDEF92
2AlexFWD75
3Francisco RiveraMID74
Persijap26 игроков
40.2/ 99Средний
Лучшие
1Claudio Beckham de OliveraDEF59
2F. AfriyantoDEF58
3Muhammad ArdiansyahGK54
Persebaya Surabaya35
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Ahmad Mujtaba Ilham Akbar92999956
Alex75863461
Francisco Rivera74993056
Diogo Ramalho66568159
Arief Catur65467669
Mikael Tata64626656
Randy May62842850
Aleandro Maulana61468956
Koko Ari 60579141
Wálber 60585259
Yusuf Meilana54309952
Ernando Ari5152950
D. Wicaksono50247367
Persijap40
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Claudio Beckham de Olivera59585656
F. Afriyanto58703256
Muhammad Ardiansyah5454950
Rahmatzoda Rahmatsho54383984
Frank Rikhard53485656
Sendri Johansah4948950
Rakasurya Handika46453950
Tiri4684431
Felix Marcelino46454550
Bil’asqan Hi Tenang45454550
Rahmat Hidayat44452565
Samuel Ofori43492850
R. Saepul42374756
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
AlexPersebaya Surabaya
86
2
Saddil RamdaniPersebaya Surabaya
46
3
Ricky PratamaPersebaya Surabaya
45
4
Bil’asqan Hi TenangPersijap
45
5
Alfan SuaibPersebaya Surabaya
43
Стена
Лучшие защитники
1
Ahmad Mujtaba Ilham AkbarPersebaya Surabaya
99
2
Randy MayPersebaya Surabaya
84
3
TiriPersijap
84
4
F. AfriyantoPersijap
70
5
Mikael TataPersebaya Surabaya
62
Контроль
Лучшие плеймейкеры
1
Francisco RiveraPersebaya Surabaya
99
2
Diogo RamalhoPersebaya Surabaya
56
3
Aleandro MaulanaPersebaya Surabaya
46
4
Felix MarcelinoPersijap
45
5
Toni FirmansyahPersebaya Surabaya
42
Хулиганы
Склонны к карточкам
1
Buyung Ismu LessyPersijap
1
Агрессия 22
2
TiriPersijap
1
Агрессия 43
3
S. PutraPersebaya Surabaya
24
Агрессия 66
4
Adzikry FadlillahPersijap
24
Агрессия 29
5
PiruloPersijap
26
Агрессия 16
Рейтинг силы
Сильнейшие в целом
1
Ahmad Mujtaba Ilham AkbarPersebaya Surabaya
92
2
AlexPersebaya Surabaya
75
3
Francisco RiveraPersebaya Surabaya
74
4
Diogo RamalhoPersebaya Surabaya
66
5
Arief CaturPersebaya Surabaya
65
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Persebaya Surabaya vs Persijap 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 Persebaya Surabaya vs Persijap 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 Persebaya Surabaya 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 Persebaya Surabaya vs Persijap 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 Persebaya Surabaya 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.