Match

North Carolina vs Central Valley Fuego: result 2-1 and analysis

USL League OneRegular Season - 16Kick-off on September 28, 2022 at 11:30 PM (UTC)WakeMed Soccer Park, Cary, North Carolina

North Carolina
2-1
Central Valley Fuego

Full time

What was the result of North Carolina vs Central Valley Fuego?

North Carolina won 2-1 on September 28, 2022.

Goalscorers

  • 22′G. McLaughlinNorth Carolina
  • 29′C. ChaneyCentral Valley Fuego
  • 68′N. RinconNorth Carolina

What is the recent form of both teams?

Over their last 15 matches in all competitions, North Carolina have 2 wins, 3 draws and 10 defeats; Central Valley Fuego have 6, 2 and 7.

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

North Carolina
DateOpponentScoreCompetition
Sep 24, 2022Charlotte Independence(away)1-2USL League One
Sep 21, 2022Tucson(away)0-1USL League One
Sep 17, 2022Forward Madison(away)2-1USL League One
Sep 4, 2022Northern Colorado(away)1-4USL League One
Aug 27, 2022Tucson(home)1-1USL League One
Central Valley Fuego
DateOpponentScoreCompetition
Sep 24, 2022Richmond Kickers(away)1-1USL League One
Sep 22, 2022Forward Madison(home)3-0USL League One
Sep 18, 2022Charlotte Independence(home)0-3USL League One
Sep 1, 2022Tucson(home)3-2USL League One
Aug 28, 2022Tormenta(home)0-2USL League One

What does the head-to-head say?

Across the last 2 meetings: 0 North Carolina win(s), 0 draw(s), 2 Central Valley Fuego win(s).

DateScoreCompetition
Aug 13, 2022North Carolina 0-1 Central Valley FuegoUSL League One
Jun 26, 2022Central Valley Fuego 3-2 North CarolinaUSL League One

Last archived meeting: North Carolina vs Central Valley Fuego on Aug 13, 2022

How many goals should we expect?

North Carolina score 1.0 and concede 2.0 goals per match over their last 15; Central Valley Fuego score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
North Carolina1.02.0112/1510/15
Central Valley Fuego1.11.435/157/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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