Match

HNK Rijeka vs Napoli: result 1-2 and analysis

UEFA Europa LeagueGroup F - 3Kick-off on November 5, 2020 at 05:55 PM (UTC)Stadion HNK Rijeka, Rijeka

HNK Rijeka
1-2
Napoli

Full time

What was the result of HNK Rijeka vs Napoli?

Napoli won 1-2 on November 5, 2020.

Goalscorers

  • 13′R. MurićHNK Rijeka
  • 43′D. DemmeNapoli
  • 62′F. BrautNapoli (o.g.)

Official lineup for HNK Rijeka vs Napoli

The starting elevens fielded at kick-off.

HNK Rijeka

5-4-1
  1. 99S. Kulenović
  1. 17L. Menalo
  2. 16A. Čerin
  3. 44S. Lončar
  4. 7R. Murić
  1. 36H. Smolčić
  2. 2F. Braut
  3. 26João Escoval
  4. 14D. Velkovski
  5. 27I. Tomečak
  1. 33I. Nevistić

Napoli

4-2-3-1
  1. 37A. Petagna
  1. 21M. Politano
  2. 14D. Mertens
  3. 7E. Elmas
  1. 68S. Lobotka
  2. 4D. Demme
  1. 22G. Di Lorenzo
  2. 26K. Koulibaly
  3. 6Mário Rui
  4. 19N. Maksimović
  1. 1A. Meret
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What is the recent form of both teams?

Over their last 15 matches in all competitions, HNK Rijeka have 10 wins, 0 draws and 5 defeats; Napoli have 8, 2 and 5.

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

HNK Rijeka
DateOpponentScoreCompetition
Nov 1, 2020Sibenik(away)0-2HNL
Oct 29, 2020AZ Alkmaar(away)1-4UEFA Europa League
Oct 22, 2020Real Sociedad(home)0-1UEFA Europa League
Oct 17, 2020NK Varazdin(home)2-1HNL
Oct 7, 2020Dilj(away)6-0Cup
Napoli
DateOpponentScoreCompetition
Nov 1, 2020Sassuolo(home)0-2Serie A
Oct 29, 2020Real Sociedad(away)1-0UEFA Europa League
Oct 25, 2020Benevento(away)2-1Serie A
Oct 22, 2020AZ Alkmaar(home)0-1UEFA Europa League
Oct 17, 2020Atalanta(home)4-1Serie A

How many goals should we expect?

HNK Rijeka score 1.7 and concede 1.2 goals per match over their last 15; Napoli score 1.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
HNK Rijeka1.71.256/158/15
Napoli1.81.148/158/15

Over the last 15 matches in all competitions.

A question about HNK Rijeka vs Napoli?

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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