14.04.18 16:00
Finished
0
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0
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Kenya. KPL", up to 04/14/2018
To build a prediction for the Tusker - Vihiga match, scheduled for 14 April 2018, several key factors could influence the outcome. Tusker have played 9 matches, in which they won 2 of them, drew 3 times and lost 4 matches. Vihiga, having played 10 matches, won 1 time, drew 5 matches and lost 4 defeats. In the league, Tusker average 1.1 goals scored per game and 1.3 conceded. Vihiga average 0.6 scored and 0.9 conceded.

Pre-Match Facts

Main
Motivation
Tusker does not score in 6 out of 9 last matches.
Vihiga does not win in 9 out of 10 last matches.
In 6 out of 8 last matches involving Vihiga, at least one team did not score.
Vihiga scores under 2 goals in 8 matches straight.
Vihiga concedes under 2 goals in 7 out of 8 last matches.
In 6 out of 8 last matches involving Vihiga, over under 2 goals were scored.
In 6 last matches involving Vihiga, over under 3 goals were scored.
In 6 last matches involving Vihiga, a draw was recorded in the first half.

Summary

*Click on a table cell to see a tooltip
Matches
9
10
Wins
22% (2)
10% (1)
Draws
33% (3)
50% (5)
Defeats
44% (4)
40% (4)
Match Total (Avg.)
2.4
1.5
- Tusker value is better
- Vihiga value is better

Trends

*Click on a trend to see details
Win Or Defeat
4 / 5
3 / 4
Draw Or Defeat
9 / 10
Both Teams To Score (No)
6 / 9
6 / 8
Loss Without Scoring (Yes)
2 / 4

Streaks

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

Team outcomes

Tusker
Vihiga
H2H
Based on number of matches: 9
1 X 2
Wins
22% (2)
Draws
33% (3)
Defeats
44% (4)
Double Chance
Wins Or Draws
56% (5)
Wins Or Defeats
67% (6)
Draws Or Defeats
78% (7)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Tusker - Vihiga - score, tip, statistics

View the match score for Tusker - Vihiga. 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