About the Desk

The Sharksnip Desk publishes analysis backed by trained machine-learning models, simulation engines, and a fully auditable prediction log. Every pick we publish is timestamped against the line at publication, settled when the game ends, and surfaced on our public ledger.

Methodology

Our four analysts are model+human voice combos. The data — predicted probabilities, sim distributions, prop projections, line-movement signals — comes from specific blueprint models in our research stack. The voice and editorial framing is human. We disclose this on every page because transparency is the product.

The desk

Track record

Every prediction we have ever published is on the ledger. Filterable by sport, analyst, bet type, and time period. No deletions, no cherry-picking.