Holstein Kiel vs Odense: prediction and stats
Friendlies ClubsClub FriendliesKick-off on November 12, 2026 at 01:00 PM (UTC)Holstein-Stadion, Kiel
Probable lineup for Holstein Kiel vs Odense
Computed by Footlab AI from our own data only: recent lineups, squads and known absences. It does not take the press or last-minute absences into account.
Holstein Kiel
4-3-3- 19P. Harres
- 10J. Therkelsen
- 11G. de Regt
- 28J. Meffert
- 15K. Davidsen
- 20A. Kaprálik
- 32H. Sekine
- 5N. Madsen
- 40Leon Parduzi
- 13I. Nekić
- 1T. Weiner
Odense
4-2-3-1- 17N. Ganaus
- 22I. Ouédraogo
- 7J. Arp
- 6F. Ulvestad
- 14C. Gammelgaard
- 9T. Keskinen
- 4Julian Andreas Pauli
- 15M. McCoy
- 13J. Berthel Askou
- 28Magnus Hvitfeldt Andersen
- 16V. Myhra
Computed on November 12, 2026 at 03:39 PM (UTC).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Holstein Kiel have 3 wins, 6 draws and 6 defeats; Odense have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2026 | Arminia Bielefeld(home) | 1-2 | 2. Bundesliga |
| Nov 1, 2026 | SpVgg Greuther Fürth(away) | 0-1 | 2. Bundesliga |
| Oct 28, 2026 | 1899 Hoffenheim(home) | 1-1 | DFB Pokal |
| Oct 25, 2026 | Dynamo Dresden(home) | 3-0 | 2. Bundesliga |
| Oct 16, 2026 | Hertha BSC(home) | 0-0 | 2. Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2026 | Viborg(home) | 1-2 | Superliga |
| Nov 1, 2026 | Silkeborg(home) | 4-1 | Superliga |
| Oct 29, 2026 | FC Midtjylland(away) | 1-2 | DBU Pokalen |
| Oct 26, 2026 | FC Copenhagen(away) | 1-1 | Superliga |
| Oct 18, 2026 | Brondby(home) | 2-1 | Superliga |
How many goals should we expect?
Holstein Kiel score 1.2 and concede 1.3 goals per match over their last 15; Odense score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Holstein Kiel | 1.2 | 1.3 | 3 | 8/15 | 7/15 |
| Odense | 1.6 | 1.7 | 1 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
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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