· Liga 2
Barito Putera
ATT
5/10
DEF
6/10
2:1
Persis Solo
5/10
ATT
5/10
DEF
Full-time
Best Pick
BTTS
54%
Correct Score94′
Top
1-1
11.1%
7.00
Top
1-0
10.3%
7.50
2-1
9.8%
10.00
2-0
9.2%
8.50
0-1
6.2%
12.00
1-2
5.9%
15.00
0-0
5.8%
9.50
3-1
5.8%
17.00
154%
1.86TOP
X23%
4.28
223%
4.40
1X77%
X246%
1277%
xG — Expected Goals
Barito Putera
Barito Putera exp
Persis Solo
Persis Solo exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Barito Putera
Persis Solo
Confirmed XI4-4-2
86
Tama
24
Daffa
36
Alves
29
Gwijangge
18
Nico
13
Andriatmoko
79
Nagashima
34
Mahpud
31
Murilo
8
Howay
71
Iskandar
Impact Player Hot Head

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Barito Putera vs Persis Solo 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 Barito Putera vs Persis Solo 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 Barito Putera 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 Barito Putera vs Persis Solo 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 Barito Putera 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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