Match

Deportivo Riestra vs Claypole: result 0-0 and analysis

Primera DMatchday 21Kick-off on February 17, 2014 at 08:00 PM (UTC)Estadio Guillermo Laza, Capital Federal, Ciudad de Buenos Aires

Deportivo Riestra
0-0
Claypole

Full time

What was the result of Deportivo Riestra vs Claypole?

Deportivo Riestra and Claypole drew 0-0 on February 17, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Deportivo Riestra have 9 wins, 4 draws and 2 defeats; Claypole have 5, 4 and 6.

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

Deportivo Riestra
DateOpponentScoreCompetition
Feb 8, 2014Victoriano Arenas(home)3-1Primera D
Dec 15, 2013San Miguel(away)1-1Primera D
Dec 8, 2013Yupanqui(home)3-0Primera D
Nov 29, 2013Lugano(home)0-0Primera D
Nov 24, 2013Juventud Unida(away)1-1Primera D
Claypole
DateOpponentScoreCompetition
Feb 10, 2014San Miguel(home)1-1Primera D
Dec 16, 2013Yupanqui(away)2-3Primera D
Dec 10, 2013San Martín Burzaco(away)3-2Primera D
Dec 7, 2013Lugano(home)0-0Primera D
Dec 3, 2013Juventud Unida(home)0-1Primera D

What does the head-to-head say?

Across the last 4 meetings: 4 Deportivo Riestra wins, 0 draws, 0 Claypole wins.

DateScoreCompetition
Oct 2, 2013Claypole 1-2 Deportivo RiestraPrimera D
Sep 10, 2012Deportivo Riestra 3-0 ClaypolePrimera D
May 14, 2012Claypole 0-1 Deportivo RiestraPrimera D
Dec 11, 2011Deportivo Riestra 1-0 ClaypolePrimera D

Last archived meeting: Claypole vs Deportivo Riestra on Oct 2, 2013

How many goals should we expect?

Deportivo Riestra score 1.9 and concede 1.1 goals per match over their last 15; Claypole score 1.4 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Deportivo Riestra1.91.1410/1510/15
Claypole1.41.349/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2023 standings
#ClubPWDLGFGAPts
3Claypole1383218827

A question about Deportivo Riestra vs Claypole?

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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