u/Otherwise_Sport9684

I've been building an automated system to trade Polymarket's live MLB moneyline markets. Want to lay out the core logic and have people poke holes before I risk real money.

The core mechanic (legging into a locked position):

• Buy one side of a game cheap early — e.g. an underdog at ~$0.35 once odds settle after first pitch
• If the game swings and the other side gets cheap (my team takes a lead, opponent now ~$0.35), I buy that side too
• Combined cost under $1.00 = locked profit no matter who wins

The catch: this only completes if the game actually swings. In a blowout my first leg drifts toward zero and I eat the loss. So I'm really buying volatility - betting on games that swing more than the market expects, not on a winner.

Where I think the edge is:
I model per-game volatility from Statcast pitcher-vs-batter matchup data — basically how prone a game is to scoring bursts and lead changes. The thesis is that Polymarket's live odds underprice volatility in specific matchups.

What I want advice on:

1. Is "buy volatility by legging in" actually viable given live MLB Market Makers on Polymarket?
2. I have a volatility model but no standalone win-probability model yet. Am I right that I need both — one to pick games, one to price the first leg?

Not looking for picks. Looking for the reasons this won't work.

I've been building an automated system to trade Polymarket's live MLB moneyline markets. Want to lay out the core logic and have people poke holes before I risk real money.

The core mechanic (legging into a locked position):

• Buy one side of a game cheap early — e.g. an underdog at ~$0.35 once odds settle after first pitch
• If the game swings and the other side gets cheap (my team takes a lead, opponent now ~$0.35), I buy that side too
• Combined cost under $1.00 = locked profit no matter who wins

The catch: this only completes if the game actually swings. In a blowout my first leg drifts toward zero and I eat the loss. So I'm really buying volatility - betting on games that swing more than the market expects, not on a winner.

Where I think the edge is:
I model per-game volatility from Statcast pitcher-vs-batter matchup data — basically how prone a game is to scoring bursts and lead changes. The thesis is that Polymarket's live odds underprice volatility in specific matchups.

What I want advice on:

1. Is "buy volatility by legging in" actually viable given live MLB Market Makers on Polymarket?
2. I have a volatility model but no standalone win-probability model yet. Am I right that I need both — one to pick games, one to price the first leg?

Not looking for picks. Looking for the reasons this won't work.

I've been building an automated system to trade Polymarket's live MLB moneyline markets. Want to lay out the core logic and have people poke holes before I risk real money.

The core mechanic (legging into a locked position):

• Buy one side of a game cheap early — e.g. an underdog at ~$0.35 once odds settle after first pitch
• If the game swings and the other side gets cheap (my team takes a lead, opponent now ~$0.35), I buy that side too
• Combined cost under $1.00 = locked profit no matter who wins

The catch: this only completes if the game actually swings. In a blowout my first leg drifts toward zero and I eat the loss. So I'm really buying volatility - betting on games that swing more than the market expects, not on a winner.

Where I think the edge is:
I model per-game volatility from Statcast pitcher-vs-batter matchup data — basically how prone a game is to scoring bursts and lead changes. The thesis is that Polymarket's live odds underprice volatility in specific matchups.

What I want advice on:

1. Is "buy volatility by legging in" actually viable given live MLB Market Makers on Polymarket?
2. I have a volatility model but no standalone win-probability model yet. Am I right that I need both — one to pick games, one to price the first leg?

Not looking for picks. Looking for the reasons this won't work.

I've been building an automated system to trade Polymarket's live MLB moneyline markets. Want to lay out the core logic and have people poke holes before I risk real money.

The core mechanic (legging into a locked position):

• Buy one side of a game cheap early — e.g. an underdog at ~$0.35 once odds settle after first pitch
• If the game swings and the other side gets cheap (my team takes a lead, opponent now ~$0.35), I buy that side too
• Combined cost under $1.00 = locked profit no matter who wins

The catch: this only completes if the game actually swings. In a blowout my first leg drifts toward zero and I eat the loss. So I'm really buying volatility - betting on games that swing more than the market expects, not on a winner.

Where I think the edge is:
I model per-game volatility from Statcast pitcher-vs-batter matchup data — basically how prone a game is to scoring bursts and lead changes. The thesis is that Polymarket's live odds underprice volatility in specific matchups.

What I want advice on:

1. Is "buy volatility by legging in" actually viable given live MLB Market Makers on Polymarket?
2. I have a volatility model but no standalone win-probability model yet. Am I right that I need both — one to pick games, one to price the first leg?

Not looking for picks. Looking for the reasons this won't work.