Moss vs Kongsvinger: prediction and stats
2. Division - Group 1Group 1 - 22Kick-off on October 2, 2021 at 02:00 PM (UTC)Melløs Stadion, Moss
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moss have 4 wins, 3 draws and 8 defeats; Kongsvinger have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Bærum(away) | 1-4 | 2. Division - Group 1 |
| Sep 22, 2021 | Sandnes ULF(home) | 1-7 | NM Cupen |
| Sep 18, 2021 | Eidsvold(away) | 2-2 | 2. Division - Group 1 |
| Sep 5, 2021 | Fløya(home) | 6-0 | 2. Division - Group 1 |
| Sep 1, 2021 | Brattvåg(home) | 1-0 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Floro(away) | 5-0 | 2. Division - Group 1 |
| Sep 25, 2021 | Eidsvold(home) | 6-0 | 2. Division - Group 1 |
| Sep 22, 2021 | Flekkerøy(home) | 4-1 | NM Cupen |
| Sep 19, 2021 | Senja(home) | 5-0 | 2. Division - Group 1 |
| Sep 12, 2021 | hodd(away) | 0-0 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 4 meetings: 0 Moss wins, 0 draws, 4 Kongsvinger wins.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2021 | Kongsvinger 5-1 Moss | 2. Division - Group 1 |
| Aug 14, 2021 | Moss 0-4 Kongsvinger | 2. Division - Group 1 |
| Feb 24, 2020 | Kongsvinger 5-1 Moss | Friendlies Clubs |
| May 22, 2019 | Moss 1-2 Kongsvinger | NM Cupen |
How many goals should we expect?
Moss score 1.5 and concede 2.7 goals per match over their last 15; Kongsvinger score 3.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moss | 1.5 | 2.7 | 2 | 9/15 | 12/15 |
| Kongsvinger | 3.3 | 0.8 | 8 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Moss vs Kongsvinger?
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