Match

Tucson vs Toronto II: result 1-1 and analysis

USL League OneRegular Season - 2Kick-off on April 14, 2019 at 02:30 AM (UTC)Kino North Stadium, Tucson, Arizona

Tucson
1-1
Toronto II

Full time

What was the result of Tucson vs Toronto II?

Tucson and Toronto II drew 1-1 on April 14, 2019.

Goalscorers

  • 73′171950Tucson
  • 79′J. HamiltonToronto II

Official lineup for Tucson vs Toronto II

The starting elevens fielded at kick-off.

Tucson

  1. 6R. Sommersall
  2. 28A. Wheeler-Omiunu
  3. 2A. Ledbetter
  4. 9Guillermo Delgado
  5. 10L. Martinez
  6. 11J. Cox
  7. 17K. Hanlin
  8. 19Z. Wright
  9. 23K. Bjornethun
  10. 33K. Wakasa
  1. 24P. Ejimadu

Toronto II

  1. 7J. Hamilton
  1. 31Tsubasa Endoh
  2. 43A. Ovalle
  3. 48D. Campbell
  4. 50Matthew Joseph Srbely
  5. 84J. Shaffelburg
  6. 42P. Bunk-Andersen
  7. 51T. Swartz
  8. 88J. West
  1. 19G. Dorsey
  1. 28Caleb Patterson-Sewell
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What is the recent form of both teams?

Over their last 14 matches in all competitions, Tucson have 5 wins, 2 draws and 7 defeats; Toronto II have 4, 3 and 8.

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

Tucson
DateOpponentScoreCompetition
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
Jul 21, 2018Golden State Force(away)4-4USL League Two
May 17, 2018Las Vegas Lights(away)2-4US Open Cup
Toronto II
DateOpponentScoreCompetition
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
Sep 29, 2018Charleston Battery(away)2-1USL Championship

How many goals should we expect?

Tucson score 1.8 and concede 2.3 goals per match over their last 14; Toronto II score 1.6 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tucson1.82.319/1411/14
Toronto II1.62.039/1510/15

Over the last 14 matches in all competitions.

A question about Tucson 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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