Not sure who to start in your fantasy baseball league? Use HeatRadar’s fantasy model, which projects daily and weekly stats to make your start/sit decisions easy. Each projection blends Statcast contact quality (BANG), opposing pitcher matchup, park factors, weather, today’s lineup spot and market-derived signals (such as player prop over/unders) into expected fantasy points, or projected stats for category and roto leagues. Click any player row to expand a full audit of the inputs.
Enter the point value for each stat in your league. Leave blank or 0 for stats not used.
Select the categories your league tracks.
Whether you’re picking your H2H points league roster, deciding which two-start streamer to slot tonight, or setting a daily DraftKings lineup, this page projects what every player is expected to do today, scored the way your league actually scores.
Most projection tools assume standard 5x5 scoring. If you play points, OBP categories, deep custom rules, or DFS, those numbers are guessing at what your league looks like. Plug in your scoring once (points per home run, hit, strikeout, whatever your commissioner added in 2014 and forgot about) and the projections recalculate to your league.
The numbers come from our Statcast model called BANG that scores every plate appearance by contact quality, then layers on today’s pitcher matchup, ballpark, and game-time weather. So it actually reacts to who’s pitching in Coors at 3pm with the wind blowing out, instead of smoothing all of that into a season-long average.
This is a daily decision tool. The page is for the morning roster-setting choice: who should I start today, who’s worth a stream, and which DFS plays have the matchup tailwind to justify the salary.
Every projection gets graded the next morning against real results. The rolling summary at the bottom of the page shows our hit, AB, strikeout, and earned-run bias across thousands of player-games so far this season. Hitter AB is currently running about half an at-bat high, which mildly inflates counting stats. We’ll dial it back if it doesn’t tighten as the sample grows. Nobody else publishes their bias numbers. We do, because the only way to trust a projection is to see how the previous ones did.
Does it work for DFS? Yes. Use the points-per-stat inputs to mirror DraftKings or FanDuel scoring (including doubles, triples, walks, and stolen bases), then sort by projection-per-salary.
Does it cover pitchers? Yes, with separate ER, K, win/QS, and BB projections every day.