Our Reports
Understanding the report
The report has three main parts. On top, the summary of what the models have seen.
1
The Combined Score
This score is our most powerful indicator. It takes all outputs from 6 models and combines them into a value with the highest predicting power. We recomend to look at horses when they get higher values than 7,5. Any value over 9 should be considered very unique.
This score is our most powerful indicator. It takes all outputs from 6 models and combines them into a value with the highest predicting power. We recomend to look at horses when they get higher values than 7,5. Any value over 9 should be considered very unique.
2
The Similarity Score
This score represents to which degree this horse should be as a full-sibling. Statistically, a full-sibling to a SWs has around 36% of also becoming a stakes winner. Of course that is the average and there will be horses with more chances of being like their full siblings and some other that will not. A value of 10 means maximum similarity and 0 means no connection. Still under development.
This score represents to which degree this horse should be as a full-sibling. Statistically, a full-sibling to a SWs has around 36% of also becoming a stakes winner. Of course that is the average and there will be horses with more chances of being like their full siblings and some other that will not. A value of 10 means maximum similarity and 0 means no connection. Still under development.
3
% Combined Score
This value indicates how is this combined score compared to all possible ones.
This value indicates how is this combined score compared to all possible ones.
4
The Pedigree Itself
This is a standard pedigree indicating inbreeding in a standard way and helping you visualize a hypothetical mating. We are developing a heat map that indicates which parts add value and which parts create weaknesses.
This is a standard pedigree indicating inbreeding in a standard way and helping you visualize a hypothetical mating. We are developing a heat map that indicates which parts add value and which parts create weaknesses.
Models vs Combined Score
As the combined score looks into the models, you can find combinations:
1st quadrant: models and combined score rating high. Recommended ones.
2nd quadrant: only combined score rating high. Still worth paying attention to them.
3rd quadrant: only models rating high. In this quadrant is where we started and where we have proven success.
4th quadrant: all indications above average or worse. Not recommended.
As the combined score looks into the models, you can find combinations:
1st quadrant: models and combined score rating high. Recommended ones.
2nd quadrant: only combined score rating high. Still worth paying attention to them.
3rd quadrant: only models rating high. In this quadrant is where we started and where we have proven success.
4th quadrant: all indications above average or worse. Not recommended.
5
Inbreeding and Crosses
Here you have inbreeding according to standard notation and amount of Stakes winners vs amount of times this crosses have been seen for the six different combinations between: Sire/Gransire vs Broodmare Sire/Broodmare Sire's Sire/2nd Dam's Sire.
Here you have inbreeding according to standard notation and amount of Stakes winners vs amount of times this crosses have been seen for the six different combinations between: Sire/Gransire vs Broodmare Sire/Broodmare Sire's Sire/2nd Dam's Sire.
6
The Models Results
Here you can find a simplification of what each of the models is perceiving. It has been converted into something comprehensible. GeneUse recommends to take special attention to horses rating top on one of the models or rating exceptional or more in more than one.
Here you can find a simplification of what each of the models is perceiving. It has been converted into something comprehensible. GeneUse recommends to take special attention to horses rating top on one of the models or rating exceptional or more in more than one.
7
Extra
Below, you might find alarms for soundness and precocity. Those are only presented when a very high value is obtained. Otherwise, you will find it empty.
Below, you might find alarms for soundness and precocity. Those are only presented when a very high value is obtained. Otherwise, you will find it empty.
Models vs Combined Score
As the combined score looks into the models, you can find combinations:
1st quadrant: models and combined score rating high. Recommended ones.
2nd quadrant: only combined score rating high. Still worth paying attention to them.
3rd quadrant: only models rating high. Still worth paying attention to them.
4th quadrant: all indications above average or worse. Not recommended.
As the combined score looks into the models, you can find combinations:
1st quadrant: models and combined score rating high. Recommended ones.
2nd quadrant: only combined score rating high. Still worth paying attention to them.
3rd quadrant: only models rating high. Still worth paying attention to them.
4th quadrant: all indications above average or worse. Not recommended.