Match

Akzhayik vs Kaspiy: result 1-1 and analysis

1. DivisionRegular Season - 9Kick-off on May 31, 2019 at 02:30 PM (UTC)Stadion im. Petra Atoyana, Ural'sk

Akzhayik
1-1
Kaspiy

Full time

What was the result of Akzhayik vs Kaspiy?

Akzhayik and Kaspiy drew 1-1 on May 31, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Akzhayik have 4 wins, 5 draws and 6 defeats; Kaspiy have 6, 6 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Akzhayik
DateOpponentScoreCompetition
May 26, 2019Maqtaaral(away)2-01. Division
May 16, 2019Bulat(home)3-21. Division
May 11, 2019Ekibastuz(away)0-01. Division
May 4, 2019Kyran(home)2-21. Division
Apr 28, 2019Kyzyl-Zhar(away)1-01. Division
Kaspiy
DateOpponentScoreCompetition
May 26, 2019Astana II(home)3-21. Division
May 16, 2019Sport Academy Kairat(away)1-11. Division
May 11, 2019Baykonur(home)3-11. Division
May 4, 2019Akademiya Ontustik(away)2-01. Division
Apr 28, 2019Altay(home)0-01. Division

What does the head-to-head say?

Across the last 6 meetings: 2 Akzhayik wins, 1 draw, 3 Kaspiy wins.

DateScoreCompetition
Mar 24, 2019Akzhayik 0-0 KaspiyCup
Aug 22, 2015Akzhayik 1-0 Kaspiy1. Division
May 9, 2015Kaspiy 2-1 Akzhayik1. Division
Sep 7, 2014Akzhayik 1-0 Kaspiy1. Division
Jun 7, 2014Kaspiy 1-0 Akzhayik1. Division
Aug 4, 2011Kaspiy 1-0 Akzhayik1. Division

Last archived meeting: Akzhayik vs Kaspiy on Mar 24, 2019

How many goals should we expect?

Akzhayik score 1.1 and concede 1.4 goals per match over their last 15; Kaspiy score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Akzhayik1.11.467/157/15
Kaspiy1.10.986/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
1Kaspiy262222742768

A question about Akzhayik vs Kaspiy?

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

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