08.06.22 18:30
Finished
3
:
1
(3:1, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "United States. USL League Two", up to 06/08/2022
To build a prediction for the Hudson Valley - Manhattan match, scheduled for 8 June 2022, several key factors could influence the outcome. Hudson Valley have played 4 matches, in which they won 2 of them and lost 2 matches. Manhattan, having played 30 matches, won 17 times, drew 3 matches and lost 10 defeats. In the league, Hudson Valley average 1.8 goals scored per game and 2 conceded. Manhattan average 2.1 scored and 1.2 conceded.

Pre-Match Facts

Main
Motivation
10 out of 11 last matches involving Manhattan did not end in a draw.
Manhattan does not lose by more than 1 goal in 27 out of 29 last matches.
In 11 out of 12 last matches involving Manhattan, over under 4 goals were scored.
In 5 last matches, Manhattan scores in the second half.
In 4 out of 5 last matches, Manhattan won the second half.
14 out of last 15 away matches involving Manhattan did not end in a draw.
Manhattan concedes under 2 goals in 7 out of last 9 away matches.

Summary

*Click on a table cell to see a tooltip
Matches
4
30
Wins
50% (2)
57% (17)
Draws
0% (0)
10% (3)
Defeats
50% (2)
33% (10)
Match Total (Avg.)
3.8
3.3
- Hudson Valley value is better
- Manhattan value is better

Trends

*Click on a trend to see details
Win Or Draw
4 / 5
Win Or Defeat
4 / 4
27 / 30
Both Teams To Score (No)
9 / 15

Streaks

*Matches in a row with a given outcome
Wins
1
3
Win Or Draw
1
3
Win Or Defeat
4
4

Team outcomes

Hudson Valley
Manhattan
H2H
Based on number of matches: 4
1 X 2
Wins
50% (2)
Defeats
50% (2)
Double Chance
Wins Or Draws
50% (2)
Wins Or Defeats
100% (4)
Draws Or Defeats
50% (2)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Hudson Valley - Manhattan - score, tip, statistics

View the match score for Hudson Valley - Manhattan. 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