· 3. Liga - Group 4
Wisła Kraków II
ATT
6/10
DEF
6/10
1:1
Czarni Połaniec
7/10
ATT
6/10
DEF
Full-time
Best Pick
BTTS
60%
Correct Score46′
Top
1-1
10.7%
9.00
Top
2-1
9.5%
10.00
1-0
8.3%
13.00
2-0
7.3%
13.00
1-2
6.9%
13.00
2-2
6.1%
13.00
0-1
6.1%
17.00
3-1
5.6%
15.00
149%
2.06TOP
X23%
4.29
228%
3.56
1X72%
X251%
1277%
xG — Expected Goals
Wisła Kraków II
Wisła Kraków II exp
Czarni Połaniec
Czarni Połaniec exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Wisła Kraków II
Czarni Połaniec
Probable XI4-4-2
Neugebauer
Ziarko
Skrobanski
Kutwa
Mikulec
Koscielniak
Dziedzic
Tsymbalyuk
Sukiennicki
Talar
Sarga
Impact Player Hot Head

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Wisła Kraków II vs Czarni Połaniec 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 Wisła Kraków II vs Czarni Połaniec 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 Wisła Kraków II 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 Wisła Kraków II vs Czarni Połaniec 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 Wisła Kraków II 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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