Free football predictions and tips for Belarus 1. Division

There are no upcoming events in Belarus 1. Division for the next 4 days.

Best and Worst Teams Wins

Belarus
  • More Wins
Niva
18
Lida
18
FC Slutsk
18
FC Energetik-Bgu Minsk
17
Slonim
15
Belarus
  • Less Wins
BATE II
5
Gomel II
5
Osipovichy
5
Uni Minsk
6
Orsha
7

Best and Worst Teams Draws

Belarus
  • More Draws
Ostrovets FC
11
Uni Minsk
8
Shakhter Soligorsk
7
BATE II
7
Smorgon
6
Belarus
  • Less Draws
Lida
3
Minsk II
3
Molodechno-DYuSSh 4
3
Niva
4
Bumprom
5

Best and Worst Teams Losses

Belarus
  • More Losses
Osipovichy
18
Gomel II
17
Minsk II
16
Orsha
15
BATE II
15
Belarus
  • Less Losses
FC Slutsk
4
FC Energetik-Bgu Minsk
6
Niva
6
Lida
7
Slonim
8

Best and Worst Attacking Teams

Belarus
  • Best Attacking Teams
Niva
72
FC Energetik-Bgu Minsk
61
FC Slutsk
57
Shakhter Soligorsk
55
Bumprom
53
Belarus
  • Worst Attacking Teams
Uni Minsk
25
Orsha
28
Osipovichy
30
Smorgon
35
BATE II
36

Best and Worst Defending Teams

Belarus
  • Best Defending Teams
FC Slutsk
28
FC Energetik-Bgu Minsk
32
Niva
33
Slonim
33
Smorgon
36
Belarus
  • Worst Defending Teams
Osipovichy
68
BATE II
61
Gomel II
60
Orsha
52
Minsk II
52

Belarus 1. Division Last Results and Predictions

Belarus 1. Division Standings

# Name P W D L Goals Last 5 Pts
1
FC Slutsk
28 18 6 4 57:28
WWWWW
60
2
Niva
28 18 4 6 72:33
WDWLW
58
3
Lida
28 18 3 7 52:43
WWWLW
57
4
FC Energetik-Bgu Minsk
28 17 5 6 61:32
WWWWL
56
5
Slonim
28 15 5 8 51:33
WDWWD
50
6
Molodechno-DYuSSh 4
27 14 3 10 46:45
LLWDW
45
7
Shakhter Soligorsk
28 12 7 9 55:45
WDWWW
43
8
Bumprom
28 12 5 11 53:44
LWDWL
41
9
Smorgon
28 10 6 12 35:36
WWLWW
36
10
Dinamo Minsk II
25 10 5 10 42:37
WDLWW
35
11
Ostrovets FC
28 8 11 9 38:41
LDDLW
35
12
Volna
28 10 5 13 41:51
DLLLL
35
13
Minsk II
28 9 3 16 37:52
LLLDL
30
14
Orsha
28 7 6 15 28:52
LDLLD
27
15
Uni Minsk
27 6 8 13 25:36
LDLLD
26
16
BATE II
27 5 7 15 36:61
DLLWL
22
17
Gomel II
28 5 6 17 38:60
LLLLL
21
18
Osipovichy
28 5 5 18 30:68
DLDDL
20

When are the Belarus 1. Division Predictions available?

You can track down our 1. Division tips and predictions on this page, predictions are posted 4 days before any 1. Division event. Using artificial intelligence on football predictions help users predict outcomes for a event.

The goal of our Belarus 1. Division Predictions?

The objective is give most-precise forecast while being totally straightforward in doing as such. We firmly trust that having the right tool here in our daily football predictions the expectations can have a massive effect between 1. Division fans and punters.
  • Top Countries
  • News and Articles
Expected goals explained and how AI uses xG to predict results

Expected goals explained and how AI uses xG to predict results

Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.

Value betting explained with examples from AI probabilities

Value betting explained with examples from AI probabilities

A clear, example-driven guide to value betting using AI probabilities, showing how to convert odds into implied probabilities, spot positive expected value, size stakes responsibly, and avoid common traps.

How to use Elo ratings for football predictions

How to use Elo ratings for football predictions

A practical guide to using Elo ratings in football predictions, from team strength and home advantage to draw probability, league adjustments, and model improvement.

FIFA Reports Record Demand for World Cup 2026 Tickets

FIFA Reports Record Demand for World Cup 2026 Tickets

FIFA says World Cup 2026 received 150 million ticket requests in 15 days, highlighting unprecedented demand, sparking debate on pricing and accessibility, and setting expectations for a highly competitive allocation process across the three host nations.

How AI Is Changing Football Predictions in 2026

How AI Is Changing Football Predictions in 2026

Explore how artificial intelligence is transforming football predictions through richer data, smarter models, real-time context, and stronger transparency and governance.

Machine learning vs human intuition in match forecasting

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

Odd:1.38