Match

Hibernians vs Qala Saints: result 2-0 and analysis

FA Trophy1st RoundKick-off on January 14, 2024 at 01:00 PM (UTC)MFA Centenary Stadium, Ta'Qali

Hibernians
2-0
Qala Saints

Full time

What was the result of Hibernians vs Qala Saints?

Hibernians won 2-0 on January 14, 2024.

Goalscorers

  • 56′J. DegabrieleHibernians (pen.)
  • 77′G. BastianosHibernians

Official lineup for Hibernians vs Qala Saints

The starting elevens fielded at kick-off.

Hibernians

  1. JJ. Degabriele
  2. GG. Bastianos
  3. LLuiz Guedes
  1. SS. Okoh
  2. CC. Bonanni
  1. MM. Bagayoko
  2. GGabri Izquier
  3. FF. Apap
  4. KK. Shaw
  5. BB. Bairam
  1. HH. Sacco

Qala Saints

  1. II. Nedeljković
  2. MM. Buttigieg
  1. CChris Mercieca
  2. CC. Vella
  3. JJoseph Buttigieg
  4. NN. Njoku
  1. LLucas Barreto
  2. JJoão Vitor
  3. NNicholas Inguanez
  4. EE. Buttigieg
  1. OO. Attard
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Hibernians have 6 wins, 3 draws and 6 defeats; Qala Saints have 3, 0 and 1.

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

Hibernians
DateOpponentScoreCompetition
Jan 7, 2024Marsaxlokk(away)1-1Premier League
Dec 17, 2023Mosta(home)0-0Premier League
Dec 9, 2023Valletta FC(away)2-0Premier League
Dec 3, 2023Sliema Wanderers(home)0-1Premier League
Nov 25, 2023Sirens(away)2-1Premier League
Qala Saints
DateOpponentScoreCompetition
Dec 13, 2023Melita(away)7-5FA Trophy
Feb 15, 2023Gzira United(away)0-3FA Trophy
Jan 14, 2023Mtarfa(away)2-1FA Trophy
Nov 22, 2022Sannat Lions(away)3-1FA Trophy

How many goals should we expect?

Hibernians score 1.3 and concede 1.1 goals per match over their last 15; Qala Saints score 3.0 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hibernians1.31.155/155/15
Qala Saints3.02.503/44/4

Over the last 15 matches in all competitions.

A question about Hibernians vs Qala Saints?

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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