Alta vs Kongsvinger: prediction and stats
2. Division - Group 1Group 1 - 23Kick-off on October 10, 2021 at 12:00 PM (UTC)SmartDok Arena, Alta
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alta have 6 wins, 2 draws and 7 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 |
|---|---|---|---|
| Oct 9, 2021 | Bærum(away) | 2-3 | 2. Division - Group 1 |
| Oct 2, 2021 | Moss(away) | 0-3 | 2. Division - Group 1 |
| Sep 25, 2021 | Senja(home) | 3-1 | 2. Division - Group 1 |
| Sep 22, 2021 | Bodo/Glimt(home) | 1-2 | NM Cupen |
| Sep 18, 2021 | Floro(away) | 2-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Brattvåg(away) | 4-0 | 2. Division - Group 1 |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 Alta wins, 0 draws, 2 Kongsvinger wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2021 | Alta 2-3 Kongsvinger | 2. Division - Group 1 |
| Jul 21, 2021 | Kongsvinger 3-2 Alta | 2. Division - Group 1 |
How many goals should we expect?
Alta score 1.7 and concede 1.9 goals per match over their last 15; Kongsvinger score 3.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta | 1.7 | 1.9 | 2 | 10/15 | 12/15 |
| Kongsvinger | 3.4 | 0.7 | 9 | 6/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Alta 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