2026
15-Day HR Leaders
1 Max Muncy 9 HRs · 2 Pete Alonso 6 HRs · 3 Pete Crow-Armstrong 5 HRs · 4 Rafael Devers 5 HRs · 5 Brooks Lee 5 HRs · 6 Tristan Peters 5 HRs · 7 Jordan Walker 4 HRs · 8 Luis García Jr. 4 HRs · 9 Heriberto Hernández 4 HRs · 10 Mickey Gasper 4 HRs · 11 Cal Raleigh 4 HRs · 12 Drew Gilbert 3 HRs 1 Max Muncy 9 HRs · 2 Pete Alonso 6 HRs · 3 Pete Crow-Armstrong 5 HRs · 4 Rafael Devers 5 HRs · 5 Brooks Lee 5 HRs · 6 Tristan Peters 5 HRs · 7 Jordan Walker 4 HRs · 8 Luis García Jr. 4 HRs · 9 Heriberto Hernández 4 HRs · 10 Mickey Gasper 4 HRs · 11 Cal Raleigh 4 HRs · 12 Drew Gilbert 3 HRs
Track Record
How the model performs — 2025 full-season backtest and 2026 live results.
2025 full-season backtest
2025 backtest: a top-15 pick went yard on 92.9% of slates · top-50 picks hit 1.6x the field
Sample window: 2025 full-season backtest · 182 slates · 2025-03-27 to 2025-09-28 Live 2026 is current through 2026-08-28. Past performance ≠ guarantee.
92.9% top-15 slates, 2025
1.6x top-50 vs field
92.1% Live 2026 top-15
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15.3%
Pick Hit Rate (2026)
How often a top-50 pick goes yard
1.4×
Baseline Multiple (2026)
Top-50 picks homer 1.4× as often as a league-average hitter (15.3% vs 10.7% field rate)
3558
HRs Tracked (2026)
Across 152 game days
2026 Daily Top-50 Pick-Hit Rate
per-day HR rate among top 50 ranked batters · 152 game days · hover to explore
2026 Top-N Pick-Hit Rates
33,246 scored matchups
Top 5
138/760
18.2%
Top 10
268/1520
17.6%
Top 15
393/2280
17.2%
Top 25
627/3790
16.5%
Top 50
1158/7565
15.3%
Pick-hit rate = % of matchups in each top-N pool that resulted in a HR.
2026 Tier Performance
HR rate by model tier
S
0/4 small n
0.0%
A+
6/36
16.7%
A
46/238
19.3%
B
185/921
20.1%
C+
425/2504
17.0%
C
740/5442
13.6%
D
2156/24101
8.9%
Higher-tier matchups should hit HRs at a higher rate. A healthy model shows a clear gradient from S down to D. Tiers marked small n have under 30 matchups — early-season rates there swing wildly on single games.
2025 Full-Season Backtest
15.8%
Pick Hit Rate
How often a top-50 pick went yard
1.6×
Baseline Multiple
Top-50 picks homered 1.6× as often as a league-average hitter (15.8% vs 9.6% field rate)
39,795
Matchups Scored
Over 182 game days
2025 Backtest — Daily Top-50 Pick-Hit Rate
full season · 182 game days · hover to explore
Top-N Pick-Hit Rates
39,795 scored matchups
Top 5
191/910
21.0%
Top 10
370/1820
20.3%
Top 15
519/2730
19.0%
Top 25
783/4550
17.2%
Top 50
1433/9095
15.8%
Backtest uses the same model logic against historical 2025 data. Actual HR outcomes are verified against MLB Statcast records.
Tier Performance
Not available for the backtest
The 2025 backtest predates per-matchup model scores, so tier assignments can't be reconstructed honestly for that season. Rather than approximate tiers from a proxy stat, we only show tier performance for the 2026 live season above. Top-N pick-hit rates (left) are unaffected — they're rank-based and fully verifiable against Statcast.
How to read this

Pick hit rate is the percentage of matchups in a given pool (Top 5, Top 10, etc.) where the batter actually hit a home run — i.e. how often a pick goes yard.

Baseline multiple is the pick hit rate divided by the field rate — the HR rate across every scored matchup in the same dataset (total HRs ÷ total matchups), which stands in for a league-average hitter. A baseline multiple of 2.0× means our picks homer twice as often as the field. For the 2025 backtest the field rate is 9.6%, so the 15.8% top-50 pick hit rate is 1.6× baseline.

Capture rate measures what fraction of all scored-slate home runs on a given day were batters ranked in our top N. If the official slate produced 20 HRs and the top 10 contained 3 of them, top-10 capture is 15%.

The backtest and older live rows are replay estimates unless backed by an official timestamped model snapshot. See the performance methodology for the migration rules.

THR 3.3.164 · build 668

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