Ringsted vs Frem: result 0-1 and analysis
DBU PokalenRound of 128Kick-off on August 4, 2026 at 04:00 PM (UTC)Ringsted Stadion, Ringsted
Full time
What was the result of Ringsted vs Frem?
Frem won 0-1 on August 4, 2026.
Goalscorers
- 88′Gustav HansenFrem
What had the model predicted before the match?
Before kick-off, the Footlab AI model gave a Frem win at 61%: prediction correct. Most likely score announced: 1-2. Actual score: 0-1.
Computed by the Footlab AI model from our own data only, with no AI analysis.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ringsted have 9 wins, 3 draws and 3 defeats; Frem have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2026 | ASA Aarhus(away) | 1-1 | 3. Division |
| Jul 18, 2026 | Hørsholm-Usserød(home) | 2-2 | Friendlies Clubs |
| Mar 28, 2026 | Skovshoved(away) | 3-1 | Denmark Series - Group 2 |
| Mar 21, 2026 | Skjold Sæby(home) | 1-0 | Denmark Series - Group 2 |
| Mar 15, 2026 | Hvidovre II(away) | 4-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2026 | Holbæk B&I(away) | 1-2 | 3. Division |
| Jul 25, 2026 | Fremad Amager(home) | 1-0 | Friendlies Clubs |
| Jul 18, 2026 | Vanløse(away) | 0-0 | Friendlies Clubs |
| Jun 13, 2026 | Sundby(home) | 0-0 | 3. Division |
| Jun 6, 2026 | Odder(away) | 2-2 | 3. Division |
How many goals should we expect?
Ringsted score 2.3 and concede 1.7 goals per match over their last 15; Frem score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ringsted | 2.3 | 1.7 | 1 | 13/15 | 11/15 |
| Frem | 1.6 | 1.7 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Ringsted vs Frem?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy