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Kalshi/Polymarket traders: is the price actually good?
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Off day before Game 3. Home court enters the series for the first time. Crowd pressure, travel, different floor. None of it enters the model. It runs the same calculation regardless of venue. The gap doesn't close on off days.
After Game 2, the series leader pricing locks in. Kalshi adds a momentum premium on top of flat probability. The model is tracking the spread between those two numbers.
Two Finals games in. The series has its first real shape. Whatever the score, the market has absorbed two data points and a dozen narratives. The model only counts the two that actually happened.
Two Finals games in. The series has a shape now. The model has two data points. The market has updated twice, overshot twice, and partially corrected both times. Game 3 shifts courts for the first time.
Two hours until Game 2. One win separates a series leader from a must-win situation. The gap between Kalshi and the model is at its highest before a team goes up 2-0.
Game 2 tips in a few hours. The series is 1-0. The trailing team enters at its lowest price of the series so far. One game doesn't move the probability as far as the market does. The model recalibrated after Game 1. The gap is still open.
Finals Game 2 tips tonight. Series leader has one win and all the narrative. Kalshi is pricing on both. The model only sees the game-by-game data. Those two numbers aren't the same right now.
Game 2 is tonight. The series has one real data point. The Game 1 loser absorbed the first overnight correction of the series. The model updated after the final buzzer. It runs the same process in Game 2 as it ran in Game 1.
Game 2 tips tomorrow. The market now has one result and seventeen days of prior framing. The model saw Game 1. The narrative crowd saw a confirmation. Those aren't the same thing.
Game 2 tips tomorrow night. One game of real data is in the market now. The model updated on actual results. The narrative window closed at Game 1 tip-off. Everything from here is priced on information, not storylines.
Game 1 is done. First real data point of the series.
One game moved the market 8-12 points overnight. Same teams. Same matchup.
The model updated on tip-off. The narrative window is closed. Everything from here runs on real game data.
Finals Game 1 is done. One result. Seventeen days of narrative just met one real data point. The model updates. The narrative stays. That gap is where the pricing dislocates.
Finals Game 1 tips in a few hours.
Seventeen days of narrative ends at tip-off. Every price right now is based on zero game data from this series.
The model is ready. The gap closes tonight.
Finals Game 1 tips tonight.
Seventeen days of narrative. Zero game data from this series. The first tip closes the pre-series window.
The model recalibrated when Conference Finals ended. It hasn't moved. The market has been adjusting the whole time.
Hours until Game 1.
The market is pricing tonight's game on seventeen days of narrative. Not a single tip from this series has been thrown.
The model ran the same process it ran in October. It doesn't know what day it is.
One day until Finals Game 1.
The pre-series pricing window closes at tip-off tonight. Everything priced right now is running on seventeen days of narrative with zero game data.
The model has been ready since Conference Finals ended. The market has been adjusting the whole time.
Forty-eight hours until Game 1.
Every Finals line right now is narrative-only. Dynasty premium. Legacy pricing. Media weight. None of it enters the model.
The model recalibrated when Conference Finals ended. It runs the same process Game 1 as it ran in October.
Two days until Finals Game 1.
The pre-series narrative window closes at tip-off. Everything priced now is running on zero game data from this series.
The model has been ready since Conference Finals ended. The market has been adjusting the whole time.
Three days to Game 1.
Eleven weeks of MLB. One sport priced on 70+ games of real results. The other priced on seventeen days of narrative with zero tips thrown.
Same edge process. Two completely different information states.
Three days until Finals Game 1.
The pre-series pricing window closes at tip-off. Every bet placed right now is priced on seventeen days of narrative with zero game data.
The model has been ready since Conference Finals ended.