Tuse vs Kalundborg: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 25Kick-off on June 11, 2016 at 01:00 PM (UTC)Tusehallen, Holbæk
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What was the result of Tuse vs Kalundborg?
Tuse won 2-1 on June 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tuse have 3 wins, 2 draws and 10 defeats; Kalundborg have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Marstal / Rise(away) | 0-1 | Denmark Series - Group 2 |
| May 28, 2016 | Kolding B(home) | 0-4 | Denmark Series - Group 2 |
| May 21, 2016 | KFUM Roskilde(away) | 4-4 | Denmark Series - Group 2 |
| May 14, 2016 | Rishøj(home) | 0-3 | Denmark Series - Group 2 |
| May 7, 2016 | Sydvest(away) | 0-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2016 | B 1909(home) | 1-1 | Denmark Series - Group 2 |
| May 27, 2016 | SfB-Oure(away) | 1-4 | Denmark Series - Group 2 |
| May 22, 2016 | Sønderborg(home) | 2-2 | Denmark Series - Group 2 |
| May 15, 2016 | Tarup-Paarup(home) | 0-5 | Denmark Series - Group 2 |
| May 8, 2016 | Marstal / Rise(away) | 2-0 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Tuse wins, 0 draws, 1 Kalundborg win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2015 | Kalundborg 3-1 Tuse | Denmark Series - Group 2 |
How many goals should we expect?
Tuse score 1.2 and concede 2.3 goals per match over their last 15; Kalundborg score 1.5 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tuse | 1.2 | 2.3 | 1 | 9/15 | 10/15 |
| Kalundborg | 1.5 | 2.7 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Tuse vs Kalundborg?
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