Match

Vitesse vs Jodan Boys: result 4-0 and analysis

KNVB Beker8th FinalsKick-off on December 14, 2016 at 07:00 PM (UTC)GelreDome, Arnhem

Vitesse
4-0
Jodan Boys

Full time

What was the result of Vitesse vs Jodan Boys?

Vitesse won 4-0 on December 14, 2016.

Goalscorers

  • 14′M. MiazgaVitesse
  • 17′Adnane TighadouiniVitesse
  • 52′L. BakerVitesse (pen.)
  • 56′M. RashicaVitesse

Official lineup for Vitesse vs Jodan Boys

The starting elevens fielded at kick-off.

Vitesse

  1. ZZhang Yuning
  1. KK. Leerdam
  2. NN. Foor
  3. AAdnane Tighadouini
  4. LL. Baker
  5. MM. Nakamba
  6. MM. Rashica
  1. GG. Kashia
  2. MM. Miazga
  3. LL. Faye
  1. MMichael Tørnes

Jodan Boys

  1. RRoald Heerkens
  1. MMohammed Bellahcen
  2. LLeroy Brank
  3. EElliot Pattinama
  4. LLevi Marengo
  5. FFanny Waandels
  6. RRomario Dos Santos
  1. BB. van Loon
  2. DDon Mimpen
  3. MMichel Verkaik
  1. MM. Straver
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Vitesse have 6 wins, 5 draws and 4 defeats; Jodan Boys have 2, 2 and 0.

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

Vitesse
DateOpponentScoreCompetition
Dec 11, 2016Sparta Rotterdam(away)1-0Eredivisie
Dec 3, 2016PEC Zwolle(home)3-1Eredivisie
Nov 26, 2016Excelsior(home)2-2Eredivisie
Nov 19, 2016Heerenveen(away)1-1Eredivisie
Nov 6, 2016Heracles(home)1-2Eredivisie
Jodan Boys
DateOpponentScoreCompetition
Oct 25, 2016GO Ahead Eagles(away)2-1KNVB Beker
Sep 20, 2016HHC(away)3-3KNVB Beker
Aug 24, 2016SVZW(home)3-0KNVB Beker
Aug 17, 2016Avv Swift(home)2-2KNVB Beker

How many goals should we expect?

Vitesse score 1.9 and concede 1.3 goals per match over their last 15; Jodan Boys score 2.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vitesse1.91.3211/158/15
Jodan Boys2.51.513/44/4

Over the last 15 matches in all competitions.

A question about Vitesse vs Jodan Boys?

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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