13.06.21 19:00
Finished
2
:
0
(1:0, 1:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "United States. USL League Two", up to 06/13/2021
To build a prediction for the Long Island - Motown match, scheduled for 13 June 2021, several key factors could influence the outcome. Long Island have played 20 matches, in which they won 10 of them, drew 9 times and lost 1 match. Motown, having played 6 matches, won 3 times, drew 1 match and lost 2 defeats. In the league, Long Island average 1.6 goals scored per game and 0.8 conceded. Motown average 1.7 scored and 1.2 conceded.

Pre-Match Facts

Main
Motivation
Long Island won in 5 out of 6 last matches.
Long Island does not lose over last 17 matches.
Long Island does not lose by more than 1 goal in 17 last matches.
Long Island concedes under 2 goals in 14 out of 15 last matches.
In 5 out of 6 last matches, Motown scores in the first half.
Long Island does not concede at home in 6 out of 9 last matches.
Long Island concedes under 2 goals in 8 out of last 9 home matches.

Summary

*Click on a table cell to see a tooltip
Matches
20
6
Wins
50% (10)
50% (3)
Draws
45% (9)
17% (1)
Defeats
5% (1)
33% (2)
Match Total (Avg.)
2.4
2.8
- Long Island value is better
- Motown value is better

Trends

*Click on a trend to see details
Wins
5 / 6
Win Or Draw
19 / 20
Win Or Defeat
5 / 6
5 / 6
Draw Or Defeat
3 / 4
Both Teams To Score (No)
5 / 6
4 / 6
Win To Nil (Yes)
4 / 6
3 / 6

Streaks

*Matches in a row with a given outcome
Win Or Draw
17
Win Or Defeat
3

Team outcomes

Long Island
Motown
H2H
Based on number of matches: 20
1 X 2
Wins
50% (10)
Draws
45% (9)
Defeats
5% (1)
Double Chance
Wins Or Draws
95% (19)
Wins Or Defeats
55% (11)
Draws Or Defeats
50% (10)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Long Island - Motown - score, tip, statistics

View the match score for Long Island - Motown. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics