Match

North Carolina vs Lexington: result 2-1 and analysis

USL League OneRegular Season - 2Kick-off on April 1, 2023 at 11:00 PM (UTC)WakeMed Soccer Park, Cary, North Carolina

North Carolina
2-1
Lexington

Full time

What was the result of North Carolina vs Lexington?

North Carolina won 2-1 on April 1, 2023.

Goalscorers

  • 5′K. BalogunLexington
  • 14′O. GreenNorth Carolina (o.g.)
  • 73′Rafael MentzingenNorth Carolina

Official lineup for North Carolina vs Lexington

The starting elevens fielded at kick-off.

North Carolina

  1. 17S. Adams
  2. 19G. McLaughlin
  1. 7L. Arriaga
  2. 10J. Servania
  3. 14Rafael Mentzingen
  4. 15M. Maldonado
  1. 2C. Lue Young
  2. 5D. Navarro
  3. 6G. Fernandes
  4. 18D. Benton
  1. 1N. Holliday

Lexington

  1. 9W. Baynham
  2. 14K. Balogun
  3. 77N. Brown
  1. 8C. Machell
  2. 22P. Dlamini
  1. 2T. Robertson
  2. 3O. Green
  3. 5K. Fox
  4. 33F. Martinez
  5. 57Terique David Mohammed
  1. 1A. Causey
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What is the recent form of both teams?

Over their last 15 matches in all competitions, North Carolina have 4 wins, 3 draws and 8 defeats; Lexington have 0, 0 and 1.

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

North Carolina
DateOpponentScoreCompetition
Mar 17, 2023Tormenta(home)0-1USL League One
Feb 25, 2023Charleston Battery(away)2-1Friendlies Clubs
Oct 15, 2022Charlotte Independence(away)1-5USL League One
Oct 8, 2022Chattanooga Red Wolves(home)0-1USL League One
Oct 1, 2022Union Omaha(home)1-1USL League One
Lexington
DateOpponentScoreCompetition
Mar 18, 2023One Knoxville(away)1-2USL League One

How many goals should we expect?

North Carolina score 0.9 and concede 1.7 goals per match over their last 15; Lexington score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
North Carolina0.91.7110/158/15
Lexington1.02.001/11/1

Over the last 15 matches in all competitions.

A question about North Carolina vs Lexington?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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