Kars 36 vs Muşspor: result 1-0 and analysis
Türkiye Kupası2nd RoundKick-off on August 29, 2017 at 10:30 AM (UTC)Kafkas Üniversitesi Abamüslüm Güven Stadyumu, Kars
Full time
What was the result of Kars 36 vs Muşspor?
Kars 36 won 1-0 on August 29, 2017.
Goalscorers
- 23′Abdurrahman KırmacıKars 36
Official lineup for Kars 36 vs Muşspor
The starting elevens fielded at kick-off.
Kars 36
- 10Burak Gezer
- 2Yılmaz Dora
- 7E. Turan
- 8Bulut Akbaş
- 9Hakan Tice
- 14Abdurrahman Kırmacı
- 20Sabahattin Genç
- 3Samet Tosun
- 4Sarper Salih Ağca
- 5Nazım Berat Karaali
- 1Aykut Demirdelen
Muşspor
- 10Sait Aydemir
- 19Muhammed Akif Sevinç
- 4Emre Yakut
- 5Mehmet Şirin Soydan
- 8Onur Güdül
- 55Serkan Eyüpoğlu
- 88Hamit Kılıç
- 12F. Yalnız
- 34K. Örentepe
- 49Barış Arslan
- 24İ. Tekçi
What is the recent form of both teams?
In their last match in all competitions, Kars 36 have 0 wins, 1 draw and 0 defeats; Muşspor have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2017 | Iğdır Es(away) | 2-2 | Türkiye Kupası |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2017 | Dersimspor(home) | 3-1 | Türkiye Kupası |
| Sep 6, 2016 | 24 Erzincanspor(away) | 0-1 | Türkiye Kupası |
| Aug 29, 2016 | Ağrı 1970(home) | 2-2 | Türkiye Kupası |
How many goals should we expect?
Kars 36 score 2.0 and concede 2.0 goals per match in their last match; Muşspor score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kars 36 | 2.0 | 2.0 | 0 | 1/1 | 1/1 |
| Muşspor | 1.7 | 1.3 | 0 | 2/3 | 2/3 |
Over the last match in all competitions.
A question about Kars 36 vs Muşspor?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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
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