Match

Tucson vs Lansing Ignite: result 2-0 and analysis

USL League OneRegular Season - 3Kick-off on May 1, 2019 at 02:00 AM (UTC)Kino North Stadium, Tucson, Arizona

Tucson
2-0
Lansing Ignite

Full time

What was the result of Tucson vs Lansing Ignite?

Tucson won 2-0 on May 1, 2019.

Goalscorers

  • 27′102782Tucson
  • 62′D. VegaTucson

Official lineup for Tucson vs Lansing Ignite

The starting elevens fielded at kick-off.

Tucson

  1. 25Ben Fritz Spencer Jr.
  1. 6R. Sommersall
  2. 15D. Vega
  3. 20Joseph Vito Calistri
  4. 28A. Wheeler-Omiunu
  5. 2A. Ledbetter
  6. 16D. Jambga
  7. 26S. Devoss
  1. 3José Carlos Terrón
  2. 12Kyle Venter
  1. 24P. Ejimadu

Lansing Ignite

  1. 23T. Moshobane
  1. 2R. Williams
  2. 8Kyle Carr
  3. 14N. Moon
  4. 10X. Gomez
  5. 12C. Silva
  6. 20A. Bruce
  7. 21I. Cerda
  1. 4G. Stoneman
  2. 5B. Fricke
  1. 13Kyle Ihn
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Tucson have 4 wins, 3 draws and 8 defeats; Lansing Ignite have 2, 0 and 2.

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

Tucson
DateOpponentScoreCompetition
Apr 27, 2019Tormenta(home)0-2USL League One
Apr 14, 2019Toronto II(home)1-1USL League One
Apr 4, 2019Tormenta(away)1-3USL League One
Mar 30, 2019Orlando City II(away)3-1USL League One
Jul 22, 2018Calgary Foothills(away)0-2USL League Two
Lansing Ignite
DateOpponentScoreCompetition
Apr 26, 2019Toronto II(home)0-2USL League One
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

How many goals should we expect?

Tucson score 1.6 and concede 2.3 goals per match over their last 15; Lansing Ignite score 1.8 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tucson1.62.319/1510/15
Lansing Ignite1.81.803/43/4

Over the last 15 matches in all competitions.

A question about Tucson vs Lansing Ignite?

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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