Match

Rīgas FS vs Ajax: result 1-0 and analysis

UEFA Europa LeagueLeague Stage - 7Kick-off on January 23, 2025 at 08:00 PM (UTC)LNK Sporta Parks (dabīgais), Rīga (Riga)

Rīgas FS
1-0
Ajax

Full time

What was the result of Rīgas FS vs Ajax?

Rīgas FS won 1-0 on January 23, 2025.

Goalscorers

  • 78′A. MarhievRīgas FS

Official lineup for Rīgas FS vs Ajax

The starting elevens fielded at kick-off.

Rīgas FS

5-3-2
  1. 17C. Kouadio
  2. 9J. Ikaunieks
  1. 18D. Zelenkovs
  2. 26S. Panić
  3. 27A. Marhiev
  1. 8L. Odisharia
  2. 43Ž. Lipušček
  3. 23H. Prenga
  4. 30H. Njie
  5. 11R. Savaļnieks
  1. 40F. Ondoa

Ajax

4-3-3
  1. 11M. Godts
  2. 9B. Brobbey
  3. 20B. Traoré
  1. 8K. Taylor
  2. 6J. Henderson
  3. 28K. Fitz-Jim
  1. 15Y. Baas
  2. 24D. Rugani
  3. 37J. Šutalo
  4. 3A. Gaaei
  1. 22R. Pasveer
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Rīgas FS have 7 wins, 1 draw and 7 defeats; Ajax have 8, 3 and 4.

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

Rīgas FS
DateOpponentScoreCompetition
Jan 18, 2025FK Zalgiris Vilnius(away)1-0Friendlies Clubs
Jan 15, 2025Kalju Nomme(home)1-2Friendlies Clubs
Jan 11, 2025Super Nova(home)7-0Friendlies Clubs
Dec 12, 2024Maccabi Tel Aviv(away)1-2UEFA Europa League
Dec 5, 2024Malmo FF(away)0-1Friendlies Clubs
Ajax
DateOpponentScoreCompetition
Jan 19, 2025Heerenveen(away)2-0Eredivisie
Jan 14, 2025AZ Alkmaar(away)0-2KNVB Beker
Jan 11, 2025Waalwijk(home)2-1Eredivisie
Jan 5, 2025VfB Stuttgart(away)2-2Friendlies Clubs
Dec 22, 2024Sparta Rotterdam(away)2-0Eredivisie

How many goals should we expect?

Rīgas FS score 1.9 and concede 1.1 goals per match over their last 15; Ajax score 1.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rīgas FS1.91.148/159/15
Ajax1.91.167/159/15

Over the last 15 matches in all competitions.

A question about Rīgas FS vs Ajax?

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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