Split U19 vs Mega U19 prediction 30.11.2025
- 30/11/25 09:00
-
- 80 : 96
- Finished
Match prediction
After analyzing the statistical data of both basketball teams, Split U19 and Mega U19, we can confidently conclude that the most suitable bet for the upcoming match would be 1x2 - W2. If you choose this 1x2 - W2 bet, a statistically strong prediction says that you can win with a coefficient of 1.216.
30/11/2025
Bet::
1x2 - W2
Odds:
1.22
Coefficients at the time of publication of the forecast 30.11.2025 18:41
Match preview
The Split U19 and Mega U19 will face each other in a basketball match in the Europe category as part of the ABA League U19 tournament on 30.11 at 09:00. So, if you're a sports betting enthusiast eagerly anticipating the outcome, this article accurately predicts the best bet tip in the match between the Split U19 and Mega U19.
Who will win?
- Split U19
- Mega U19
Split U19 review
Of the 3 basketball matches with available statistics, Split U19 has won 0 times and lost 3 times. On average, in each of these 3 matches, Split U19 scored an average of 70.3 points and conceded an average of 95 points, resulting in a total of 165.3 points scored and conceded. Overall, across all 3 matches, Split U19 scored 211 points and conceded 285 points.
Mega U19 review
The basketball team Mega U19 has participated in 10 games with available statistics, with 8 wins and 2 losses. Throughout these games, the team managed to score 934 points while conceding 731 points. On average, in each of the 10 games played, Mega U19 scored an average of 93.4 points and conceded an average of 73.1 points. By adding the points scored and conceded, we can observe that Mega U19 has an average score of 166.5 per game.
Other predictions
04/06
21:00
Minnesota Lynx (Women)
Golden State Valkyries (Women)
Read
04/06
21:15
Santa Tecla
Cojute
Read
04/06
22:00
Mexico
Argentina
Read
05/06
03:30
Oceana Gold Nuggets
Franklin Bulls
Read
05/06
04:00
Logan Thunder (Women)
Rockhampton Cyclones (Women)
Read
05/06
04:00
Canberra Nationals (Women)
BA Coe (Women)
Read
Trends
Load more