Show only matches where the model's probability is ≥ X%
| Date | Home | Away | Score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oct 2305:00 PM | Randers FC | vs | Brondby | 0 - 1 | ||||||||
Oct 2501:00 PM | Midtjylland | vs | Lyngby | 2 - 1 | ||||||||
Oct 2501:00 PM | Silkeborg | vs | FC Nordsjaelland | 1 - 2 | ||||||||
Oct 2503:00 PM | AC Horsens | vs | Sonderjyske | 2 - 1 | ||||||||
Oct 2505:00 PM | Aarhus | vs | Viborg | 2 - 1 | ||||||||
Oct 2606:00 PM | København | vs | Odense | 2 - 1 |
| Date | Home | Away | Score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oct 1605:00 PM | AC Horsens | 0 - 0FT | Randers FC | 1 - 2 | 2.7531% | 3.4928% | 2.3741% | 1.5759% | 2.2741% | 1.7358% | 2.0842% | |
Oct 1812:00 PM | Sonderjyske | 4 - 0FT | Silkeborg | 1 - 2 | 2.4734% | 3.5226% | 2.5840% | 1.4964% | 2.4636% | 1.5965% | 2.2735% | |
Oct 1812:00 PM | Lyngby | 3 - 3FT | FC Nordsjaelland | 1 - 2 | 3.8223% | 3.9124% | 1.8053% | 1.4764% | 2.5136% | 1.4766% | 2.5734% | |
Oct 1802:00 PM | Odense | 2 - 1FT | Brondby | 1 - 2 | 2.8929% | 3.5729% | 2.2342% | 1.4956% | 2.4544% | 1.5953% | 2.3247% | |
Oct 1804:00 PM | København | 1 - 1FT | Aarhus | 2 - 1 | 1.6152% | 4.0927% | 4.8721% | 1.6455% | 2.1445% | 1.5958% | 2.2642% | |
Oct 1905:00 PM | Viborg | 1 - 2FT | Midtjylland | 1 - 2 | 2.7427% | 3.6332% | 2.3142% | 1.4558% | 2.5842% | 1.5254% | 2.4246% |
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | København | 11 | 8 | 1 | 2 | +14 | 25 |
| 2 | Midtjylland | 11 | 7 | 4 | 0 | +10 | 25 |
| 3 | Viborg | 11 | 6 | 2 | 3 | +8 | 20 |
| 4 | FC Nordsjaelland | 11 | 5 | 4 | 2 | +4 | 19 |
| 5 | Brondby | 11 | 5 | 1 | 5 | -1 | 16 |
| 6 | AC Horsens | 11 | 3 | 4 | 4 | -1 | 13 |
| 7 | Odense | 11 | 3 | 4 | 4 | -5 | 13 |
| 8 | Silkeborg | 11 | 2 | 5 | 4 | -4 | 11 |
| 9 | Randers FC | 11 | 3 | 2 | 6 | -5 | 11 |
| 10 | Aarhus | 11 | 1 | 6 | 4 | -3 | 9 |
| 11 | Sonderjyske | 11 | 2 | 2 | 7 | -8 | 8 |
| 12 | Lyngby | 11 | 1 | 5 | 5 | -9 | 8 |
| Date | Home | Away | Score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oct 2305:00 PM | Randers FC | vs | Brondby | 0 - 1 | ||||||||
Oct 2501:00 PM | Midtjylland | vs | Lyngby | 2 - 1 | ||||||||
Oct 2501:00 PM | Silkeborg | vs | FC Nordsjaelland | 1 - 2 | ||||||||
Oct 2503:00 PM | AC Horsens | vs | Sonderjyske | 2 - 1 | ||||||||
Oct 2505:00 PM | Aarhus | vs | Viborg | 2 - 1 | ||||||||
Oct 2606:00 PM | København | vs | Odense | 2 - 1 |
| Date | Home | Away | Score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oct 1605:00 PM | AC Horsens | 0 - 0FT | Randers FC | 1 - 2 | 2.7531% | 3.4928% | 2.3741% | 1.5759% | 2.2741% | 1.7358% | 2.0842% | |
Oct 1812:00 PM | Sonderjyske | 4 - 0FT | Silkeborg | 1 - 2 | 2.4734% | 3.5226% | 2.5840% | 1.4964% | 2.4636% | 1.5965% | 2.2735% | |
Oct 1812:00 PM | Lyngby | 3 - 3FT | FC Nordsjaelland | 1 - 2 | 3.8223% | 3.9124% | 1.8053% | 1.4764% | 2.5136% | 1.4766% | 2.5734% | |
Oct 1802:00 PM | Odense | 2 - 1FT | Brondby | 1 - 2 | 2.8929% | 3.5729% | 2.2342% | 1.4956% | 2.4544% | 1.5953% | 2.3247% | |
Oct 1804:00 PM | København | 1 - 1FT | Aarhus | 2 - 1 | 1.6152% | 4.0927% | 4.8721% | 1.6455% | 2.1445% | 1.5958% | 2.2642% | |
Oct 1905:00 PM | Viborg | 1 - 2FT | Midtjylland | 1 - 2 | 2.7427% | 3.6332% | 2.3142% | 1.4558% | 2.5842% | 1.5254% | 2.4246% |
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | København | 11 | 8 | 1 | 2 | +14 | 25 |
| 2 | Midtjylland | 11 | 7 | 4 | 0 | +10 | 25 |
| 3 | Viborg | 11 | 6 | 2 | 3 | +8 | 20 |
| 4 | FC Nordsjaelland | 11 | 5 | 4 | 2 | +4 | 19 |
| 5 | Brondby | 11 | 5 | 1 | 5 | -1 | 16 |
| 6 | AC Horsens | 11 | 3 | 4 | 4 | -1 | 13 |
| 7 | Odense | 11 | 3 | 4 | 4 | -5 | 13 |
| 8 | Silkeborg | 11 | 2 | 5 | 4 | -4 | 11 |
| 9 | Randers FC | 11 | 3 | 2 | 6 | -5 | 11 |
| 10 | Aarhus | 11 | 1 | 6 | 4 | -3 | 9 |
| 11 | Sonderjyske | 11 | 2 | 2 | 7 | -8 | 8 |
| 12 | Lyngby | 11 | 1 | 5 | 5 | -9 | 8 |
Pre-built accumulators based on available matches
4-5 picks with higher combined odds for better potential returns
Key statistics and trends from expert predictions
Overview
📊12 matches with predictions in Superliga
🔍Predictions from 1 expert sources
Predictions
🎯Average prediction confidence: 48%
📈Over 2.5 goals favored in 92% of matches
⚽BTTS Yes favored in 92% of matches
🏠Home win predicted in 5 of 12 matches
Standings
🔥Title race: only 0 pts between København and Midtjylland
👑League leader: København with 25 points
🥇København leads scoring with 25 goals
Highlights
🎲Most unpredictable: Sonderjyske vs Silkeborg