Kairat U19’s +26% attacking edge points to a proactive home side, while MTK U19’s average defense offers no exceptional resistance. With both teams ranked first and second, the stakes should encourage an open contest rather than a cautious stalemate; three goals appear a likely target, making Over 2.5 as clear favourite the logical pick.
Match GoalsOver 2.5
Best Pick
Over 2.5
72%
Correct Score
Top
2-1
9.1%
9.50
Top
1-1
8%
9.00
3-1
7%
13.00
2-2
6.5%
15.00
2-0
6.4%
10.00
1-0
5.6%
11.00
1-2
5.6%
17.00
3-2
5%
21.00
157%
1.55TOP
X20%
4.00
223%
4.50
1X77%
X243%
1280%
Probable XI4-4-2
Aldashev
Mamedov
Nurgaliyev
Kalikulov
Bazarbaev
Musaipov
Darkhan
Petrik
Malaev
Toleukhan
Zhilkaydar
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Kairat U1921 players
39.9/ 99Developing
Top Rated
1Sanat NurbolatDEF58
2Artur TrubinFWD51
3Danila BuchGK46
MTK U198 players
45.4/ 99Average
Top Rated
1Marcell MácsikGK46
2Ádám ZuborMID46
3Balázs JádiMID46
Kairat U1922
PlayerOverall RatingImpactAggressionDiscipline
Sanat Nurbolat58429349
Artur Trubin51524550
Danila Buch46454550
Dauren Darkhan46454550
Nurkhan Bektursunov46454550
Abylay Zhilkaydar43433950
Abylay Toleukhan42384256
Bakhtiyar Aldashev41393950
Abdulaziz Mamedov41393950
Rayimbek Kenesbekov41393950
Aliden Musaipov41393950
Ermukhammad Kerimkhan38363450
Kaisar Malaev37343450
MTK U1927
PlayerOverall RatingImpactAggressionDiscipline
Marcell Mácsik46454550
Ádám Zubor46454550
Balázs Jádi46454550
Bátor Szebellédi45454550
Gergely Csóka45454550
Ádám Nyers45454550
Kolen Onder45454550
Vincent Görög45454550
Hunor Hegyvári————
Márton Tóth————
Marcell Zalán Zsitnai————
Adrián Valentin Angyal————
Ákos Balázs Király————
Player Rankings
Snipers
Top goal threats
1
Artur TrubinKairat U19
52
2
Ádám NyersMTK U19
45
3
Kolen OnderMTK U19
45
4
Vincent GörögMTK U19
45
5
Abylay ZhilkaydarKairat U19
43
Wall
Top defenders
1
Bátor SzebellédiMTK U19
45
2
Gergely CsókaMTK U19
45
3
Sanat NurbolatKairat U19
42
4
Abdulaziz MamedovKairat U19
39
5
Rayimbek KenesbekovKairat U19
39
Control
Top playmakers
1
Dauren DarkhanKairat U19
45
2
Nurkhan BektursunovKairat U19
45
3
Ádám ZuborMTK U19
45
4
Balázs JádiMTK U19
45
5
Aliden MusaipovKairat U19
39
Bad Boys
Most likely to get booked
1
Evgeniy PetrikKairat U19
41
Aggression 35
2
Sanat NurbolatKairat U19
49
Aggression 93
3
Bakhtiyar AldashevKairat U19
50
Aggression 39
4
Danila BuchKairat U19
50
Aggression 45
5
Abdulaziz MamedovKairat U19
50
Aggression 39
Power Rankings
Strongest overall
1
Sanat NurbolatKairat U19
58
2
Artur TrubinKairat U19
51
3
Danila BuchKairat U19
46
4
Dauren DarkhanKairat U19
46
5
Nurkhan BektursunovKairat U19
46
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Kairat U19 vs MTK U19 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 Kairat U19 vs MTK U19 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 Kairat U19 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 Kairat U19 vs MTK U19 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 Kairat U19 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.