TimeWise Chronicles

Horseracing stats explained.

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  1. Win%: This is the percentage of races won by the horse, trainer, jockey, or sire in question. For example, if a horse has won 10 out of 50 races, its win% would be 20%.
  2. A/E: This stands for “actual to expected” and is a measure of how well a horse, trainer, jockey, or sire performs compared to expectations. An A/E of 1.0 means that the horse, trainer, jockey, or sire performs exactly as expected, while a value greater than 1.0 indicates that they perform better than expected and a value less than 1.0 indicates they perform worse than expected.
  3. Impact value: This is another measure of how well a horse, trainer, jockey, or sire performs compared to expectations. It is calculated by dividing the percentage of winners in a particular category (such as races of a certain distance or on a certain type of track) by the percentage of total runners in that category. An impact value greater than 1.0 indicates that the horse, trainer, jockey, or sire is more successful in that category than the average competitor.
  4. Archie: This statistic is named after the mathematician who developed it, and it measures the profitability of a betting system. The Archie score is calculated by multiplying the win percentage of a betting system by the average odds of the horses selected by the system. A higher Archie score indicates a more profitable betting system. It is based on The Chi squared test.
  5. The chi-squared test is a statistical test used to determine if there is a significant difference between the observed data and the expected data. The threshold for the chi-squared test is a value that is used to determine if the difference between the observed and expected data is significant or just due to chance.
  6. In simpler terms, the chi-squared test threshold is like a line in the sand that helps us decide whether the difference between what we observed and what we expected is significant or not. If the chi-squared test value exceeds the threshold, then we can conclude that there is a significant difference between the observed and expected data. If the chi-squared test value is below the threshold, then we cannot conclude that there is a significant difference between the observed and expected data, and the difference could be due to chance.
  7. ROI%: This stands for “return on investment” and is a measure of how profitable a particular horse, trainer, jockey, or sire is to bet on. It is calculated by dividing the total amount won by the total amount bet and expressing the result as a percentage. A positive ROI% means that the horse, trainer, jockey, or sire is profitable to bet on, while a negative ROI% means that they are not.

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