Senja vs Floro: result 2-3 and analysis
2. Division - Group 2Regular Season - 19Kick-off on September 8, 2019 at 11:00 AM (UTC)Senja Storhall, Silsand
Full time
What was the result of Senja vs Floro?
Floro won 2-3 on September 8, 2019.
Goalscorers
- 21′Vegard SavlandFloro
- 41′S. PedersenFloro
- 45′Christer JohnsgardSenja
- 82′H. Solheim-OlsenFloro
- 88′H. JohnsgårdSenja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Senja have 4 wins, 4 draws and 7 defeats; Floro have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Mjølner(away) | 1-0 | 2. Division - Group 2 |
| Aug 25, 2019 | Oppsal(home) | 3-1 | 2. Division - Group 2 |
| Aug 18, 2019 | Kjelsås(away) | 0-4 | 2. Division - Group 2 |
| Aug 11, 2019 | Grorud(home) | 0-2 | 2. Division - Group 2 |
| Aug 4, 2019 | Asker(away) | 0-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Elverum(away) | 2-3 | 2. Division - Group 2 |
| Aug 24, 2019 | Mjølner(home) | 2-2 | 2. Division - Group 2 |
| Aug 17, 2019 | Grorud(away) | 1-5 | 2. Division - Group 2 |
| Aug 10, 2019 | Kjelsås(home) | 1-2 | 2. Division - Group 2 |
| Aug 3, 2019 | Sotra(away) | 0-1 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Senja wins, 1 draw, 0 Floro wins.
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2019 | Floro 1-1 Senja | 2. Division - Group 2 |
How many goals should we expect?
Senja score 1.3 and concede 1.7 goals per match over their last 15; Floro score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Senja | 1.3 | 1.7 | 3 | 8/15 | 8/15 |
| Floro | 1.1 | 1.6 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Senja vs Floro?
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