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Predictions: Over/Under 2.5 Stats by Day

DayPRWRLUnResult
Tuesday
2019-06-25
20000
0%
0.00
2019-06-25
Saturday
2019-06-29
20000
0%
0.00
2019-06-29
All: 4  Predicted: 0  ( 0 | 0 | 0 ) Units: 0  Yield: 0.00  Proft: 0.00

Predictions: Over/Under 2.5 Stats by Week

Week#PRWRLUnResult
Data pager
Data pager
2019-26 40000
0%
0.00
2019-26
2019-25 12705119
+23%
+27.40
2019-25
2019-24 201208188
+11%
+20.15
2019-24
2019-23 188010174
-11%
-19.71
2019-23
2019-22 2412012230
+0%
+0.87
2019-22
2019-21 4021019343
0%
-1.20
2019-21
2019-20 5424030417
-15%
-63.36
2019-20
Year: 2019 All: 933  Predicted: 929  ( 477 | 1 | 451 ) Units: 7398  Yield: -2.47%  Proft: -182.86

Predictions: Over/Under 2.5 #Week:  2019-26

 Starts
 
Jun 25, Tuesday
 
15:00
Finland| Veikkausliiga
Veikkausliiga
Mariehamn
Mariehamn
HJK
HJK

Over 2.5
Odd: 2.00 Units: 10
Profit: 0.00
 
15:30
Finland| Veikkausliiga
Veikkausliiga
Inter Turku
Inter Turku
VPS
VPS

Over 2.5
Odd: 2.04 Units: 10
Profit: 0.00
 
All: 2   Units: 20 Results: ( 0 | 0 | 0 )   Profit: 0.00
 
Jun 29, Saturday
 
15:00
Lithuania| A Lyga
A Lyga
Kauno ┼Żalgiris
Kauno ┼Żalgiris
Palanga
Palanga

Under 2.5
Odd: 1.80 Units: 10
Profit: 0.00
 
17:00
Lithuania| A Lyga
A Lyga
Trakai
Trakai
Stumbras
Stumbras

Under 2.5
Odd: 1.87 Units: 10
Profit: 0.00
 
All: 2   Units: 20 Results: ( 0 | 0 | 0 )   Profit: 0.00

Predictions: Goals Over/Under 2.5, How does system work:

Developed algorithm analyses matches for upcoming week (around 600-700 games) and automatically selects best matches and odds according to several criteria:

  • Day of the week (Mon-Sun) (from last 10 years league stats)
  • Current week number per year (from last 10 years league stats)
  • Current Month per year (from last 10 years league stats)

For example: According to statistics in some leagues more goals are scored in a middle of championship at certain month. Or more goals are scored on weekends rather than weekdays
When parameters are compared and analysed, the highest possibilities are chosen and added to the main prediction percentage. 

  • Analyses last 10 head to head matches between the teams.
  • Analyses last played game in the season. Comparing and separate results when they played home and away.
  • Analyses home and away teams performances from last season.
  • Weather forecast. Temperature, wind flow velocity, cloudiness and other parameters are being analysed and evolved to algorithm.

Predictions and profit percentage (Yield) is displayed in a table according to the leagues. 

Every prediction has risk level between 1 and 10 (Units). All selected predictions are chosen no less than 1.70 odd.

Over/Under predictions are the main focus at the moment. However we are working on developing algorithm that could make predictions for other information.