Match

Lansing Ignite vs Toronto II: result 0-2 and analysis

USL League OneRegular Season - 2Kick-off on April 26, 2019 at 11:00 PM (UTC)Cooley Law School Stadium, Lansing, Michigan

Lansing Ignite
0-2
Toronto II

Full time

What was the result of Lansing Ignite vs Toronto II?

Toronto II won 0-2 on April 26, 2019.

Goalscorers

  • 11′L. PetrassoToronto II
  • 85′A. OvalleToronto II (pen.)

Official lineup for Lansing Ignite vs Toronto II

The starting elevens fielded at kick-off.

Lansing Ignite

  1. 11Steeve Saint-Duc
  2. 23T. Moshobane
  1. 8Kyle Carr
  2. 27Nathan Lewis
  3. 1M. Kirk
  4. 10X. Gomez
  5. 12C. Silva
  6. 20A. Bruce
  7. 21I. Cerda
  1. 4G. Stoneman
  2. 5B. Fricke

Toronto II

  1. 77J. Perruzza
  1. 31Tsubasa Endoh
  2. 43A. Ovalle
  3. 48D. Campbell
  4. 59N. Okello
  5. 42P. Bunk-Andersen
  1. 19G. Dorsey
  2. 39L. Petrasso
  3. 52J. Dunn-Johnson
  4. 57Terique David Mohammed
  1. 28Caleb Patterson-Sewell
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Lansing Ignite have 2 wins, 0 draws and 1 defeat; Toronto II have 3, 4 and 8.

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

Lansing Ignite
DateOpponentScoreCompetition
Apr 13, 2019Richmond Kickers(home)3-1USL League One
Apr 6, 2019Greenville Triumph(away)1-2USL League One
Mar 30, 2019Richmond Kickers(away)3-2USL League One
Toronto II
DateOpponentScoreCompetition
Apr 14, 2019Tucson(away)1-1USL League One
Apr 5, 2019Orlando City II(away)2-0USL League One
Oct 13, 2018Penn(away)0-0USL Championship
Oct 10, 2018Nashville(away)2-2USL Championship
Oct 6, 2018Louisville City(home)1-3USL Championship

How many goals should we expect?

Lansing Ignite score 2.3 and concede 1.7 goals per match over their last 3; Toronto II score 1.6 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lansing Ignite2.31.703/33/3
Toronto II1.62.1210/1510/15

Over the last 3 matches in all competitions.

A question about Lansing Ignite vs Toronto II?

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

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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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