Match

Newport County vs Tottenham: result 1-1 and analysis

FA Cup4th RoundKick-off on January 27, 2018 at 05:30 PM (UTC)Rodney Parade, Casnewydd

Newport County
1-1
Tottenham

Full time

What was the result of Newport County vs Tottenham?

Newport County and Tottenham drew 1-1 on January 27, 2018.

Goalscorers

  • 38′P. AmondNewport County
  • 82′H. KaneTottenham

Official lineup for Newport County vs Tottenham

The starting elevens fielded at kick-off.

Newport County

  1. 9P. Amond
  2. 10F. Nouble
  1. 2David Pipe
  2. 4J. Labadie
  3. 7R. Willmott
  4. 17S. Bennett
  1. 3D. Butler
  2. 6B. White
  3. 12B. Tozer
  4. 28M. Demetriou
  1. 1J. Day

Tottenham

  1. 10H. Kane
  2. 18Llorente
  1. 12V. Wanyama
  2. 17M. Sissoko
  3. 19M. Dembélé
  4. 21J. Foyth
  1. 2K. Trippier
  2. 5J. Vertonghen
  3. 15E. Dier
  4. 37K. Walker-Peters
  1. 13M. Vorm
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Newport County have 7 wins, 6 draws and 2 defeats; Tottenham have 9, 4 and 2.

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

Newport County
DateOpponentScoreCompetition
Jan 23, 2018Morecambe(home)1-1League Two
Jan 19, 2018Crawley Town(home)2-1League Two
Jan 13, 2018Grimsby(away)2-1League Two
Jan 7, 2018Leeds(home)2-1FA Cup
Jan 1, 2018Exeter City(home)2-1League Two
Tottenham
DateOpponentScoreCompetition
Jan 21, 2018Southampton(away)1-1Premier League
Jan 13, 2018Everton(home)4-0Premier League
Jan 7, 2018AFC Wimbledon(home)3-0FA Cup
Jan 4, 2018West Ham(home)1-1Premier League
Jan 2, 2018Swansea(away)2-0Premier League

How many goals should we expect?

Newport County score 1.4 and concede 1.1 goals per match over their last 15; Tottenham score 2.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Newport County1.41.1311/157/15
Tottenham2.30.969/159/15

Over the last 15 matches in all competitions.

A question about Newport County vs Tottenham?

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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