Match

Colegiales vs Sacachispas: result 3-3 and analysis

Primera B MetropolitanaRegular Season - 10Kick-off on October 28, 2017 at 06:30 PM (UTC)Estadio de Colegiales, Vicente López, Provincia de Buenos Aires

Colegiales
3-3
Sacachispas

Full time

What was the result of Colegiales vs Sacachispas?

Colegiales and Sacachispas drew 3-3 on October 28, 2017.

Goalscorers

  • 1′J. SerranoSacachispas
  • 26′N. PizarroSacachispas
  • 50′Alfredo Abel SorianoColegiales
  • 55′Ángel Gastón DíazColegiales (pen.)
  • 57′M. QuinterosSacachispas
  • 64′M. LópezColegiales

What is the recent form of both teams?

Over their last 15 matches in all competitions, Colegiales have 5 wins, 4 draws and 6 defeats; Sacachispas have 5, 3 and 7.

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

Colegiales
DateOpponentScoreCompetition
Oct 18, 2017Defensores De Belgrano(away)0-1Primera B Metropolitana
Oct 14, 2017Talleres Remedios(home)0-0Primera B Metropolitana
Oct 7, 2017Barracas Central(away)2-1Primera B Metropolitana
Sep 30, 2017Tristan Suarez(home)0-1Primera B Metropolitana
Sep 24, 2017CA Estudiantes(away)1-1Primera B Metropolitana
Sacachispas
DateOpponentScoreCompetition
Oct 18, 2017San Telmo(home)1-0Primera B Metropolitana
Oct 14, 2017Comunicaciones(away)0-1Primera B Metropolitana
Oct 9, 2017Villa San Carlos(home)1-0Primera B Metropolitana
Oct 1, 2017UAI Urquiza(away)1-2Primera B Metropolitana
Sep 23, 2017Fénix(home)2-3Primera B Metropolitana

How many goals should we expect?

Colegiales score 1.0 and concede 1.0 goals per match over their last 15; Sacachispas score 1.1 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Colegiales1.01.065/155/15
Sacachispas1.11.256/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
20Sacachispas4091714344144

A question about Colegiales vs Sacachispas?

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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