Kjellerup vs Skjold Sæby: result 5-2 and analysis
Denmark Series - Group 4Group 4 · Matchday 9Kick-off on September 29, 2019 at 12:00 PM (UTC)XL-byg Arena, Kjellerup
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What was the result of Kjellerup vs Skjold Sæby?
Kjellerup won 5-2 on September 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjellerup have 4 wins, 2 draws and 9 defeats; Skjold Sæby have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Aarhus Fremad II(away) | 1-2 | Denmark Series - Group 4 |
| Sep 14, 2019 | VRI(home) | 0-1 | Denmark Series - Group 4 |
| Sep 6, 2019 | Silkeborg KFUM(away) | 6-1 | Denmark Series - Group 4 |
| Aug 31, 2019 | Djursland(home) | 1-2 | Denmark Series - Group 4 |
| Aug 28, 2019 | Vendsyssel FF(home) | 0-9 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Lyseng(home) | 2-3 | Denmark Series - Group 4 |
| Sep 15, 2019 | Holstebro(away) | 2-1 | Denmark Series - Group 4 |
| Sep 7, 2019 | Aarhus Fremad II(away) | 1-6 | Denmark Series - Group 4 |
| Aug 31, 2019 | VRI(home) | 8-0 | Denmark Series - Group 4 |
| Aug 23, 2019 | Silkeborg KFUM(away) | 0-3 | Denmark Series - Group 4 |
How many goals should we expect?
Kjellerup score 2.1 and concede 2.9 goals per match over their last 15; Skjold Sæby score 1.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjellerup | 2.1 | 2.9 | 0 | 13/15 | 13/15 |
| Skjold Sæby | 1.8 | 2.5 | 2 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kjellerup | 18 | 3 | 2 | 13 | 20 | 43 | 11 |
A question about Kjellerup vs Skjold Sæby?
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