SD Family vs Kyran: prediction and stats
1. DivisionMatchday 5Kick-off on May 2, 2024 at 10:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 13 matches in all competitions, SD Family have 5 wins, 3 draws and 5 defeats; Kyran have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2024 | Okzhetpes(away) | 1-4 | 1. Division |
| Apr 19, 2024 | Sport Academy Kairat(away) | 3-3 | 1. Division |
| Apr 13, 2024 | Atyrau(away) | 0-6 | Cup |
| Apr 10, 2024 | Kaisar II(home) | 3-0 | 1. Division |
| Apr 4, 2024 | Ulytau(home) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2024 | Zhetisay(home) | 0-1 | 1. Division |
| Apr 18, 2024 | Aktobe Jas(away) | 2-0 | 1. Division |
| Apr 5, 2024 | Yassy Turkistan(home) | 1-2 | 1. Division |
| Mar 19, 2024 | FK Aksu(home) | 2-5 | Cup |
| Mar 16, 2024 | Zhetisay(away) | 1-1 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 0 SD Family wins, 0 draws, 2 Kyran wins.
| Date | Score | Competition |
|---|---|---|
| Mar 22, 2023 | Kyran 1-0 SD Family | Cup |
| Apr 22, 2021 | SD Family 0-9 Kyran | Cup |
How many goals should we expect?
SD Family score 1.5 and concede 2.4 goals per match over their last 13; Kyran score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SD Family | 1.5 | 2.4 | 3 | 7/13 | 9/13 |
| Kyran | 1.7 | 1.9 | 3 | 10/15 | 10/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | SD Family | 26 | 7 | 2 | 17 | 33 | 75 | 23 |
A question about SD Family vs Kyran?
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