Match

April 25 vs Hwaebul: result 1-0 and analysis

AFC Champions League TwoGroup Stage - 1Kick-off on March 7, 2018 at 07:30 AM (UTC)

April 25
1-0
Hwaebul

Full time

What was the result of April 25 vs Hwaebul?

April 25 won 1-0 on March 7, 2018.

Goalscorers

  • 84′Il-Bom AnApril 25

Official lineup for April 25 vs Hwaebul

The starting elevens fielded at kick-off.

April 25

  1. 10Il-Bom An
  2. 11Chol-Song Om
  1. 7Hyok-Chol O
  2. 8Han Song-Hyok
  3. 9Jong-Chol Kim
  4. 15Song Won
  5. 22Hyong-Jin Ri
  1. 5Jin-Myong Pak
  2. 6Chung-Hyok Kwon
  3. 30Song Il An
  1. 23Tae-Song An

Hwaebul

  1. 9Jin Choe-Kwang
  1. 5Bom Hyon-Chol
  2. 7Chol Song Pak
  3. 8Jong-Hyok Song
  4. 14Il Jon-Chung
  5. 28Song Ri
  1. 10Min Ri-Jong
  2. 11Chang-Ho Ri
  3. 19Hyok Jong-Chol
  4. 23Kuk-Chol Kim
  1. 1Thae Song
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What is the recent form of both teams?

Over their last 6 matches in all competitions, April 25 have 2 wins, 3 draws and 1 defeat; Hwaebul have 2, 0 and 0.

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

April 25
DateOpponentScoreCompetition
Sep 13, 2017Bengaluru(home)0-0AFC Champions League Two
Aug 23, 2017Bengaluru(away)0-3AFC Champions League Two
May 17, 2017Erchim(away)5-0AFC Champions League Two
May 3, 2017Kigwancha(away)2-2AFC Champions League Two
Apr 18, 2017Kigwancha(home)1-1AFC Champions League Two
Hwaebul
DateOpponentScoreCompetition
Feb 20, 2018Erchim(home)3-0AFC Champions League Two
Feb 13, 2018Erchim(away)4-0AFC Champions League Two

How many goals should we expect?

April 25 score 2.3 and concede 1.0 goals per match over their last 6; Hwaebul score 3.5 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
April 252.31.032/64/6
Hwaebul3.50.020/22/2

Over the last 6 matches in all competitions.

A question about April 25 vs Hwaebul?

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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