SharpEddie47
Market Sharp
- Joined
- Mar 4, 2024
- Messages
- 637
- Reaction score
- 16
- Points
- 18
The specific problem tennis presents that no team sport does.
In the NFL if a quarterback has a terrible day his offensive line might compensate. The defense might win the game. The team absorbs the variance of individual performance.
In tennis there is no absorption. One player. Every point. The bad day is fully expressed in the result.
The implication for betting: the variables that determine tennis outcomes include mental states, physical conditions, and psychological momentum that have no equivalent in team sports analysis.
I've tried serious tennis modeling three times. Abandoned it each time.
The surface-adjusted ranking model: works reasonably at grand slam level until the second week when player-specific clutch variables start dominating.
The head-to-head weighted model: works until a player's psychological relationship with a specific opponent changes for reasons no model captures.
The recent form model: destroyed by undisclosed injuries, schedule fatigue, and personal circumstances that tennis players rarely discuss publicly.
Every serious approach I've built has run into the same wall. The variables that determine close matches are the ones least accessible to data.
What has anyone else found in this market.
In the NFL if a quarterback has a terrible day his offensive line might compensate. The defense might win the game. The team absorbs the variance of individual performance.
In tennis there is no absorption. One player. Every point. The bad day is fully expressed in the result.
The implication for betting: the variables that determine tennis outcomes include mental states, physical conditions, and psychological momentum that have no equivalent in team sports analysis.
I've tried serious tennis modeling three times. Abandoned it each time.
The surface-adjusted ranking model: works reasonably at grand slam level until the second week when player-specific clutch variables start dominating.
The head-to-head weighted model: works until a player's psychological relationship with a specific opponent changes for reasons no model captures.
The recent form model: destroyed by undisclosed injuries, schedule fatigue, and personal circumstances that tennis players rarely discuss publicly.
Every serious approach I've built has run into the same wall. The variables that determine close matches are the ones least accessible to data.
What has anyone else found in this market.
