Kaw Valley vs Chicago Fire II: result 1-7 and analysis
USL League TwoRegular Season - 30Kick-off on June 19, 2021 at 12:30 AM (UTC)Rock Chalk Park, Lawrence, Kansas
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What was the result of Kaw Valley vs Chicago Fire II?
Chicago Fire II won 1-7 on June 19, 2021.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Kaw Valley have 4 wins, 2 draws and 7 defeats; Chicago Fire II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2021 | St. Louis SG(away) | 1-2 | USL League Two |
| Jun 13, 2021 | Des Moines Menace(away) | 0-2 | USL League Two |
| Jun 10, 2021 | Chicago Fire II(away) | 0-4 | USL League Two |
| Jun 6, 2021 | Des Moines Menace(home) | 0-1 | USL League Two |
| May 30, 2021 | Wichita(home) | 2-0 | USL League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2021 | Green Bay Voyageurs(home) | 1-1 | USL League Two |
| Jun 12, 2021 | St. Louis SG(away) | 1-1 | USL League Two |
| Jun 10, 2021 | Kaw Valley(home) | 4-0 | USL League Two |
| Jun 5, 2021 | Green Bay Voyageurs(away) | 1-0 | USL League Two |
| Jun 3, 2021 | Green Bay Voyageurs(home) | 4-0 | USL League Two |
What does the head-to-head say?
Across the last 2 meetings: 1 Kaw Valley win(s), 0 draw(s), 1 Chicago Fire II win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2021 | Chicago Fire II 4-0 Kaw Valley | USL League Two |
| Jul 19, 2019 | Chicago Fire II 2-3 Kaw Valley | USL League Two |
Last archived meeting: Chicago Fire II vs Kaw Valley on Jun 10, 2021
How many goals should we expect?
Kaw Valley score 1.0 and concede 1.3 goals per match over their last 13; Chicago Fire II score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaw Valley | 1.0 | 1.3 | 5 | 3/13 | 5/13 |
| Chicago Fire II | 1.7 | 1.0 | 6 | 8/15 | 8/15 |
Over the last 13 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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