Sarpsborg 08 II vs Mandalskameratene: result 3-3 and analysis
3. Division - Girone 4Girone 4 - 1Kick-off on April 9, 2022 at 01:00 PM (UTC)Sarpsborg Stadion, Sarpsborg
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What was the result of Sarpsborg 08 II vs Mandalskameratene?
Sarpsborg 08 II and Mandalskameratene drew 3-3 on April 9, 2022.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sarpsborg 08 II have 5 wins, 3 draws and 5 defeats; Mandalskameratene have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2021 | Strømsgodset II(home) | 1-5 | 3. Division - Girone 2 |
| Oct 23, 2021 | Pors Grenland(away) | 1-2 | 3. Division - Girone 2 |
| Oct 18, 2021 | Åssiden IF(home) | 4-1 | 3. Division - Girone 2 |
| Oct 13, 2021 | Hønefoss(home) | 4-1 | 3. Division - Girone 2 |
| Oct 9, 2021 | Oppsal(away) | 1-1 | 3. Division - Girone 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2022 | Flekkerøy(away) | 1-4 | Friendlies Clubs |
| Mar 5, 2022 | Vindbjart(away) | 0-0 | Friendlies Clubs |
| Oct 30, 2021 | Djerv(away) | 2-2 | 3. Division - Girone 3 |
| Oct 23, 2021 | Vidar(home) | 0-1 | 3. Division - Girone 3 |
| Oct 16, 2021 | Staal Jørpeland(away) | 2-3 | 3. Division - Girone 3 |
How many goals should we expect?
Sarpsborg 08 II score 2.0 and concede 2.2 goals per match over their last 13; Mandalskameratene score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarpsborg 08 II | 2.0 | 2.2 | 0 | 11/13 | 11/13 |
| Mandalskameratene | 1.9 | 1.7 | 3 | 10/15 | 10/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Mandalskameratene | 26 | 15 | 4 | 7 | 60 | 38 | 49 |
A question about Sarpsborg 08 II vs Mandalskameratene?
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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