Match

Sudnobudivnyk vs Tavriya: result 0-4 and analysis

Druha Liga - Group BRegular Season - 26Kick-off on April 22, 2018 at 10:00 AM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Sudnobudivnyk
0-4
Tavriya

Full time

What was the result of Sudnobudivnyk vs Tavriya?

Tavriya won 0-4 on April 22, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sudnobudivnyk have 2 wins, 1 draw and 12 defeats; Tavriya have 8, 4 and 3.

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

Sudnobudivnyk
DateOpponentScoreCompetition
Apr 14, 2018Myr(away)0-5Druha Liga - Group B
Apr 7, 2018Enerhiya Nova Kakhovka(home)1-3Druha Liga - Group B
Mar 30, 2018Dnipro Dnipropetrovsk(away)0-2Druha Liga - Group B
Nov 17, 2017Real Pharm(away)0-4Druha Liga - Group B
Nov 11, 2017Nikopol(home)0-2Druha Liga - Group B
Tavriya
DateOpponentScoreCompetition
Apr 14, 2018Mykolaiv II(home)2-0Druha Liga - Group B
Apr 7, 2018Nikopol(away)0-0Druha Liga - Group B
Apr 1, 2018Real Pharm(home)1-0Druha Liga - Group B
Nov 18, 2017Enerhiya Nova Kakhovka(away)2-2Druha Liga - Group B
Nov 11, 2017Real Pharm(home)3-1Druha Liga - Group B

What does the head-to-head say?

Across the last 2 meetings: 0 Sudnobudivnyk wins, 1 draw, 1 Tavriya win.

DateScoreCompetition
Oct 20, 2017Sudnobudivnyk 0-0 TavriyaDruha Liga - Group B
Aug 19, 2017Tavriya 4-2 SudnobudivnykDruha Liga - Group B

Last archived meeting: Sudnobudivnyk vs Tavriya on Oct 20, 2017

How many goals should we expect?

Sudnobudivnyk score 0.8 and concede 2.7 goals per match over their last 15; Tavriya score 1.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sudnobudivnyk0.82.724/1510/15
Tavriya1.91.177/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2021-22 standings
#ClubPWDLGFGAPts
5Tavriya19964311933

A question about Sudnobudivnyk vs Tavriya?

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

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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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