The week's top producers from August 3 to August 9, 2026, led by Jake McCarthy.
The seven days from August 3 to August 9, 2026, sorted by fantasy points actually banked. Points, not rates: a hitter with seven plate appearances and a .571 average had seven chances to do something, and a leaderboard that puts him first is measuring luck rather than production.
| Batter | Team | Pts | PA | HR | R | RBI | SB | AVG | OPS | Our rank |
|---|---|---|---|---|---|---|---|---|---|---|
| Jake McCarthy | COL | 38 | 28 | 2 | 8 | 5 | 3 | .519 | 1.352 | #88 |
| Wilyer Abreu | BOS | 37 | 23 | 3 | 7 | 9 | 1 | .438 | 1.584 | #77 |
| Pete Crow-Armstrong | CHC | 35 | 35 | 2 | 11 | 7 | 4 | .345 | 1.078 | #15 |
| Bryson Stott | PHI | 33 | 31 | 0 | 5 | 3 | 3 | .455 | 1.236 | #117 |
| Dillon Dingler | DET | 31 | 29 | 3 | 6 | 8 | 0 | .308 | 1.072 | #25 |
| Fernando Tatis Jr. | SDP | 31 | 31 | 3 | 8 | 5 | 0 | .276 | 1.012 | #40 |
| Caleb Durbin | BOS | 30 | 26 | 1 | 5 | 9 | 2 | .381 | 1.081 | #112 |
| Jac Caglianone | KCR | 29 | 23 | 2 | 3 | 7 | 1 | .478 | 1.348 | #195 |
| Jackson Merrill | SDP | 29 | 30 | 2 | 7 | 7 | 1 | .345 | 0.987 | #140 |
| Alec Burleson | STL | 29 | 24 | 4 | 6 | 7 | 0 | .250 | 1.275 | #27 |
| Pitcher | Team | Pts | IP | K | W | SV | ERA | WHIP | Our rank |
|---|---|---|---|---|---|---|---|---|---|
| Jesus Luzardo | PHI | 51 | 15.0 | 19 | 1 | 0 | 1.20 | 0.73 | #33 |
| Logan Webb | SFG | 41 | 14.0 | 10 | 1 | 0 | 0.64 | 0.79 | #121 |
| Troy Melton | DET | 40 | 13.0 | 9 | 1 | 0 | 0.00 | 0.77 | #11 |
| Sean Manaea | NYM | 40 | 13.0 | 18 | 2 | 0 | 2.08 | 1.15 | #352 |
| Brandon Pfaadt | ARI | 37 | 13.2 | 5 | 1 | 0 | 0.00 | 0.73 | #359 |
| Ian Seymour | TBR | 36 | 12.0 | 16 | 2 | 0 | 2.25 | 1.17 | #249 |
| Grant Holmes | ATL | 34 | 12.0 | 7 | 1 | 0 | 0.00 | 0.92 | #312 |
| Brayan Bello | BOS | 32 | 9.0 | 7 | 1 | 1 | 1.00 | 0.78 | #508 |
| Bubba Chandler | PIT | 32 | 11.2 | 10 | 2 | 0 | 1.54 | 1.03 | #379 |
| Payton Tolle | BOS | 30 | 6.0 | 14 | 1 | 0 | 1.50 | 0.33 | #103 |
6 of the 20 players above sit below roster-relevant value on our board despite the week they just had. That is the useful column in these tables. A big week from a top-30 player is confirmation; a big week from someone the engine still will not rank is a sample, and the difference decides whether you are looking at a pickup or at noise.
Points are the window total from our own scoring, over the exact dates named above. Sorting on points rather than on rate stats means playing time counts for something, which is how fantasy actually works, a player who sat four of seven days did not help you, whatever he hit when he played.
Our rank is the engine's view looking forward, not a grade on the week. The two disagreeing is the interesting case, not an error: the week is what happened, and the rank is what we expect next.
Curated picks where the model has the highest decision conviction. Updated every render.
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Run rankings first.
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Walk-forward backtests, calibration quality, and benchmark comparisons. Run walk-forward first - most tools depend on its pair pool.
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The most important governance tools. Output renders in Validation.
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Last known status of each underlying data source.
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A growing collection of fantasy baseball studies. Each card opens a detail page with the methodology, the data sources, and (where the data exists today) live computed findings.
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| Player | Team | Pos | Status | Explanation | Replacement |
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Enter players for each side, one per line. Values use your scoring weights and injury-adjusted projections.
| Player | Pos | ProjPts | Status |
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| Player | Pos | ProjPts | Status |
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