- How Long Have We Been Keeping Track Of The Data?
- NFL and College Football predictions across all pertinent shows have been tracked back to 8/8/2025. NBA predictions have been tracked back to 10/10/2025. We only track predictions during the season and stop tracking over the summer.
- NFL and College Football predictions across all pertinent shows have been tracked back to 8/8/2025. NBA predictions have been tracked back to 10/10/2025. We only track predictions during the season and stop tracking over the summer.
- What Qualifies As A Points And Picks Prediction?
- Whenever an analyst predicts a game result or outcome in relation to point differential or player performance, it qualifies as a points and picks prediction. In some cases, an analyst can state that Team A is will not only win but also by more than 3 points. In this scenario, the analyst is attributed two predictions:
- A points prediction where Team A has to win by 3 points or more
- A regular, game prediction where Team A wins.
- If Team A ends up winning the game but by only 2 points, they do not get credit for the points and picks prediction but are decisively marked correct for the regular game prediction. If someone makes multiple predictions on the same game (ie: The Bears will win and Caleb Williams throws for more than 200 yards) each part of the joint prediction gets their own data point/credit. If you want more clarity on what defines a prediction overall, please click here.
- Whenever an analyst predicts a game result or outcome in relation to point differential or player performance, it qualifies as a points and picks prediction. In some cases, an analyst can state that Team A is will not only win but also by more than 3 points. In this scenario, the analyst is attributed two predictions:
- How Does Quality Differentiate From Accuracy?
- Accuracy is the number of correct predictions/number of total predictions. Quality is defined as riskiness ( analyst score/number of predictions) multiplied by accuracy. As a reminder, the analyst score is the number of days separating the day a prediction is made from the day that prediction comes true. Essentially, we use quality to recognize analysts who take more risks (making predictions way out in advance) as it is easier to make successful predictions closer to gameday. For example, if an analyst makes a successful game prediction a day before the game, that should not get the same value as an analyst predicting a Super Bowl winner at the beginning of the season. Quality seeks to reward risk taking as well as offer weight to predictions that seem less likely to occur at the time it was made.
- Accuracy is the number of correct predictions/number of total predictions. Quality is defined as riskiness ( analyst score/number of predictions) multiplied by accuracy. As a reminder, the analyst score is the number of days separating the day a prediction is made from the day that prediction comes true. Essentially, we use quality to recognize analysts who take more risks (making predictions way out in advance) as it is easier to make successful predictions closer to gameday. For example, if an analyst makes a successful game prediction a day before the game, that should not get the same value as an analyst predicting a Super Bowl winner at the beginning of the season. Quality seeks to reward risk taking as well as offer weight to predictions that seem less likely to occur at the time it was made.
