How FanShare prices basketball performance.
FanShare gives each basketball athlete two prices: a fair-value price computed from box-score performance, and a market price set by traders.
The fair value is the reference. The market price is the crowd's current read. The spread between them is where the game lives.
Basketball athletes, two prices each.
FanShare is a market for basketball player tokens: think of it like a stock market, but for individual players.
Each token has two prices: a fair-value price built from recent box-score stats, and a market price created by buys and sells.
Before trading starts, both prices begin from the same baseline.
Three pillars from the last seven games.
We compute each player's fair-value price from their last 7 games of box-score stats, weighted across three pillars: Offense, Court Impact, and Defense.
Each pillar has a basketball-judgment multiplier. The composite is converted into a dollar-denominated fair-value price.
No sentiment, no highlight hype, no social signal. The input is the box score.
The market moves. Fair value doesn't.
As traders buy and sell, the market price moves. Fair value doesn't move because someone is excited; it updates when the player plays.
The gap is the spread. Below fair value = undervalued. Above = overvalued.
The spread is the entire read.
A trade moves the market price.
A trader buys $20 of Brown at $2.18 and receives 9.17 tokens.
Buying pushes the next price up. Selling pushes it down. That is how the market expresses demand around the fair-value reference.
Fair value re-prices after performance.
Brown plays. His updated box score changes the fair-value calculation, and the new reference price moves on-chain.
The market has not moved yet. Only trades move it. So a new gap opens.
Hold or buy if you think the market will catch up. Sell if you think fair value is too high.
The spread can close, overshoot, or widen.
Other traders see the new fair value. Some buy. Market price climbs from $2.21 toward $2.55, then past it.
That is the live market: the fair value is a reference, not a command.
Closing the position.
Sell 9.17 tokens at $2.65. Profit: $4.31, a 21.5% return on $20.
The logic is familiar: buy when the market is too low, sell when the market is too high. The basketball question is what fair value should be.
The scoreboard is trader P&L.
All profit and loss is public. Skill rises to the top.
Traders are competing with each other, not against the platform. The platform publishes the reference; the market decides what it believes.
Stats update fair value. Trades update market price.
Every player market repeats the same loop: recent performance updates fair value, traders move market price, and the spread becomes the signal to agree with or bet against.
That is the FanShare method: a basketball performance index on one side, a trading market on the other, and a visible gap between them.
Fair value · Market price · Spread