KXNBAREB

# NBA Rebounds Prediction Market Analysis The yield curve displays a distinctly flat structure across the 14-15 day tenor buckets, with YES probabilities clustering heavily in the 40-90% range across most markets. The 14-day markets (resolving April 26) dominate the dataset with 155 constituent markets, while the 15-day markets (resolving April 27) comprise 57 markets. Within the 14-day bucket, probabilities vary substantially by player and team matchup rather than showing systematic term structure—some markets price YES at 88-90% (Detroit's Cunningham, Thompson, and Bridges; Cleveland's Mobley; Atlanta's Kuminga and Harden) while others sit at 1-4% (various low-probability outcomes). The cheapest YES probabilities across both tenors cluster around 1-2%, representing tail-risk outcomes like Wagner, Suggs, and various bench players recording specific rebound thresholds. The 15-day markets show marginally lower probabilities on average compared to their 14-day equivalents, though the difference is minimal—suggesting minimal decay in implied probability over a single day. The flat, undifferentiated curve indicates the market expects the event resolution (NBA games on April 26-27) to occur with high certainty, making the timing distinction between 14 and 15 days largely immaterial. The wide dispersion of probabilities within each tenor reflects player-specific and game-specific uncertainty rather than temporal uncertainty about whether games will occur. High-volume trading concentrates on mid-range outcomes (40-70% YES), particularly for Detroit's Mobley and Collins markets, suggesting active disagreement about specific rebound thresholds rather than systematic repricing over time. The market's current posture treats these as near-term, high-confidence events where the