Schwaz vs Seekirchen: result 3-3 and analysis
Regionalliga - WestRegular Season - 14Kick-off on October 19, 2013 at 02:00 PM (UTC)Silberstadt Arena Schwaz, Schwaz
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What was the result of Schwaz vs Seekirchen?
Schwaz and Seekirchen drew 3-3 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Schwaz have 6 wins, 2 draws and 7 defeats; Seekirchen have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2013 | Kufstein(away) | 0-3 | Regionalliga - West |
| Oct 5, 2013 | TSV St. Johann(home) | 1-2 | Regionalliga - West |
| Sep 29, 2013 | Wals-Grünau(away) | 1-0 | Regionalliga - West |
| Sep 21, 2013 | Höchst(home) | 2-0 | Regionalliga - West |
| Sep 14, 2013 | Schwarz-Weiß Bregenz(away) | 2-0 | Regionalliga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Eugendorf(home) | 3-0 | Regionalliga - West |
| Oct 5, 2013 | Austria Salzburg(away) | 1-3 | Regionalliga - West |
| Sep 27, 2013 | Hard(home) | 3-0 | Regionalliga - West |
| Sep 20, 2013 | WSG Wattens(away) | 0-2 | Regionalliga - West |
| Sep 14, 2013 | Rheindorf Altach II(home) | 0-1 | Regionalliga - West |
How many goals should we expect?
Schwaz score 1.5 and concede 1.5 goals per match over their last 15; Seekirchen score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Schwaz | 1.5 | 1.5 | 6 | 6/15 | 8/15 |
| Seekirchen | 1.3 | 1.6 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Schwaz | 11 | 8 | 1 | 2 | 27 | 19 | 25 |
A question about Schwaz vs Seekirchen?
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