Kalmar W vs Jitex W: result 3-0 and analysis
ElitettanRegular Season - 22Kick-off on October 10, 2021 at 01:00 PM (UTC)
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What was the result of Kalmar W vs Jitex W?
Kalmar W won 3-0 on October 10, 2021.
Goalscorers
- 14′298420Kalmar W
- 42′T. TindellKalmar W
- 66′298425Kalmar W
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalmar W have 10 wins, 1 draws and 4 defeats; Jitex W have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Bollstanäs W(away) | 3-1 | Elitettan |
| Sep 29, 2021 | Växjö W(home) | 2-3 | Svenska Cupen - Women |
| Sep 25, 2021 | Morön W(away) | 2-0 | Elitettan |
| Sep 11, 2021 | Mallbacken W(home) | 3-0 | Elitettan |
| Sep 8, 2021 | Älmhults IF W(away) | 9-3 | Svenska Cupen - Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Mallbacken W(home) | 3-0 | Elitettan |
| Sep 29, 2021 | Vittsjö W(home) | 2-0 | Svenska Cupen - Women |
| Sep 25, 2021 | Älvsjö AIK W(home) | 2-0 | Elitettan |
| Sep 11, 2021 | Borgeby W(away) | 1-2 | Elitettan |
| Sep 5, 2021 | Morön W(home) | 0-3 | Elitettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Kalmar W win(s), 0 draw(s), 1 Jitex W win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 5, 2021 | Jitex W 1-0 Kalmar W | Elitettan |
How many goals should we expect?
Kalmar W score 2.5 and concede 1.7 goals per match over their last 15; Jitex W score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalmar W | 2.5 | 1.7 | 3 | 11/15 | 11/15 |
| Jitex W | 1.4 | 1.3 | 9 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jitex W | 15 | 5 | 3 | 7 | 16 | 21 | 18 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy