Fayzkand vs Regar-TadAZ: result 2-1 and analysis
Vysshaya LigaRegular Season - 6Kick-off on May 7, 2022 at 12:00 PM (UTC)
Full time
What was the result of Fayzkand vs Regar-TadAZ?
Fayzkand won 2-1 on May 7, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fayzkand have 5 wins, 2 draws and 8 defeats; Regar-TadAZ have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2022 | Khatlon(home) | 0-1 | Vysshaya Liga |
| Apr 16, 2022 | Khujand(home) | 0-0 | Vysshaya Liga |
| Apr 8, 2022 | Eskhata(away) | 3-1 | Vysshaya Liga |
| Apr 2, 2022 | Istaravshan(home) | 0-5 | Vysshaya Liga |
| Dec 5, 2021 | Khatlon(home) | 2-1 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Eskhata(home) | 3-1 | Vysshaya Liga |
| Apr 23, 2022 | Istaravshan(away) | 1-0 | Vysshaya Liga |
| Apr 16, 2022 | Ravshan(home) | 0-1 | Vysshaya Liga |
| Apr 10, 2022 | CSKA Pomir(away) | 0-1 | Vysshaya Liga |
| Apr 2, 2022 | Ravshan Zafarobod(home) | 2-2 | Vysshaya Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Fayzkand win(s), 0 draw(s), 1 Regar-TadAZ win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2020 | Regar-TadAZ 1-0 Fayzkand | Vysshaya Liga |
| Apr 11, 2020 | Fayzkand 3-2 Regar-TadAZ | Vysshaya Liga |
Last archived meeting: Regar-TadAZ vs Fayzkand on Sep 26, 2020
How many goals should we expect?
Fayzkand score 0.7 and concede 1.4 goals per match over their last 15; Regar-TadAZ score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 0.7 | 1.4 | 5 | 4/15 | 6/15 |
| Regar-TadAZ | 1.0 | 2.3 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Regar-TadAZ | 13 | 9 | 3 | 1 | 19 | 7 | 30 |
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