← BACK TO SLATETonight's top play
Hits OVER 0.5+7.1% edgemodel 67% · grade A
Why: Vs. high-contact-quality pitcher (avg EV allowed ≥ 89 mph): +35.9% lift over 149 games · strong vs the Four-Seam (42% usage, .375 xwOBA).
Verdict
one call per prop — does the model agree with recent reality?| Prop | Pick | Model | Edge | L10 | Verdict |
|---|
| Hits | OVER 0.5 | 67% | +7.1% | 70% | STRONG |
| Home Runs | OVER 0.5 | 12% | +2.5% | 0% | CAUTION |
Our track record
settled S/A/B picks on Josh Naylor, by confidence tier| Tier | Record | Hit rate | ROI |
|---|
| S | 7-2 | 78% | +23.0% |
| A | 4-3 | 57% | -17.5% |
| B | 2-0 | 100% | +141.0% |
Combined 13-5 · n=18 · ROI +20.4% · avg CLV -0.4 pts · beat close 25%
Matchup
Josh Naylor (LHB) vs Taj Bradley RHPfavors batterfavors pitcherTaj Bradley RHP · season · 121.2 IP · 521 BF
Josh Naylor hitting
| Split | H-AB | BA | SLG | ISO | HR | BB% | K% |
|---|
| Season | 110-423 | .260 | .355 | .095 | 8 | 8.2% | 13.5% |
| vs RHP | 75-299 | .251 | .355 | .104 | 7 | 8.6% | 11.7% |
Pitch-type matchup
Taj Bradley's arsenal × how Josh Naylor hits it · since 2025 · TOP = batter's spotTaj Bradley throws
| Pitch | Usage | Velo | Whiff | xwOBA |
|---|
| TOPFour-Seam | 42% | 96.3 | 15% | .383 |
| TOPCutter | 22% | 89.5 | 32% | .350 |
| Splitter | 17% | 91.0 | 27% | .306 |
| TOPCurveball | 13% | 81.7 | 38% | .344 |
| Sinker | 6% | 96.0 | 12% | .394 |
Josh Naylor vs each
| Pitch | Seen | Whiff | xwOBA | EV |
|---|
| TOPFour-Seam | 775 | 11% | .375 | 90.4 |
| TOPCutter | 221 | 12% | .378 | 87.8 |
| Splitter | 165 | 25% | .338 | 84.8 |
| TOPCurveball | 246 | 28% | .398 | 87.2 |
| Sinker | 453 | 11% | .323 | 90.7 |
xwOBA = expected wOBA from exit velo + launch angle. Green favors the batter, red favors the pitcher.
Hit-rate history
per-game results vs the line · green = over · red = under70%7/10 · L10 · avg 1.1
Our model67% OVER+7.1% edgeA
Recent form
per-game over the last 10Avg PA4.1Plate Appearancesavg 4.1
Total Basesavg 1.4
Home Runsavg 0.0
Strikeoutsavg 0.7
Tonight's lines
2026-08-02 · every line we grade — bet any, not just the headline · BEST = best edge · Move = open→now (CLV once settled)Strikeouts
| Line | Side | Grade | Model | Edge | Odds | Move | Save | Track |
|---|
| 0.5 | — | PASS | 38% | — | -137 | +0.0 | Sign in to save | — |
Total Bases
| Line | Side | Grade | Model | Edge | Odds | Move | Save | Track |
|---|
| 1.5 | — | PASS | 31% | — | +167 | -0.4 | Sign in to save | — |
Same-game parlay
pick 2+ — we price the correlation the book won'tSplits
Career n=461 PA · 2026-03-18 → 2026-07-31
| Split | H-AB | BA | SLG | ISO | 2B | 3B | HR | BB | K% |
|---|
Season 2026 season | 110-423 | .260 | .355 | .095 | 16 | 0 | 8 | 38 | 13.5% |
vs LHP left-handed pitching | 35-124 | .282 | .355 | .073 | 6 | 0 | 1 | 10 | 17.7% |
vs RHP right-handed pitching | 75-299 | .251 | .355 | .104 | 10 | 0 | 7 | 28 | 11.7% |
Last 15 days recent form | 16-47 | .340 | .404 | .064 | 3 | 0 | 0 | 3 | 12.8% |
vs Taj Bradley tonight's starting pitcher | 1-12 | .083 | .083 | .000 | 0 | 0 | 0 | 2 | 16.7% |
vs MIN tonight's opponent (full roster) | 13-66 | .197 | .379 | .182 | 3 | 0 | 3 | 5 | 21.2% |
@ T-Mobile Park tonight's stadium | 1277-4381 | .291 | .337 | .045 | 198 | 0 | 0 | 89 | 6.1% |
xStats luck
xwOBA0.317
wOBA0.324
delta+0.007 hot
n=461 PA
Spray chart
872 balls in play since 2025· wind 10 mph blowing inBalls in play872
HR rate3.7%
Hard-hit (95+)37%
Avg exit velo87.9 mph
Ground ball45%
Line drive23%
Fly ball24%
What kind of arm does he crush?
top 3 pitcher traits by |lift|
Vs. high-contact-quality pitcher (avg EV allowed ≥ 89 mph)
+35.9%significant
n=315 games · 22/149 HR when active
Vs. fastball-heavy pitcher (FB% ≥ 55%)
+0.0%small sample
n=0 games · 0/0 HR when active
Vs. hittable pitcher (BAA > .260)
+0.0%small sample
n=0 games · 0/0 HR when active
// PLAYER DNA
HR signature· refreshed 2026-05-21
// TONIGHT
0 / 0HELPING · IN PLAY
No DNA factors in play tonight
helping tonighthurting tonightnot in play tonight
Rested (2+ days off)
+47%
21 yes / 294 no · 39 HRs
HR-suppressing park (factor ≤ 0.95)
+38%
148 yes / 168 no · 39 HRs
Vs. high-contact-quality pitcher (avg EV allowed ≥ 89 mph)
+36%
149 yes / 166 no · 39 HRs
HR-friendly park (factor ≥ 1.10)
0.66× HR rate
25 yes / 291 no · 39 HRs
Cold month (Apr / Sep / Oct)
+30%
106 yes / 210 no · 39 HRs
// 7 more factors — small sample / no significant lift
Playing at home
−15%
161 yes / 155 no · 39 HRs
Summer game (Jun-Aug)
+6%
116 yes / 200 no · 39 HRs
No rest day (B2B or doubleheader)
neutral
228 yes / 87 no · 39 HRs
Vs. fastball-heavy pitcher (FB% ≥ 55%)
neutral
0 yes / 0 no · 0 HRs
Vs. hittable pitcher (BAA > .260)
neutral
0 yes / 0 no · 0 HRs
Vs. high-xwOBA pitcher (xwOBA allowed > .340)
neutral
0 yes / 0 no · 0 HRs
Vs. low-whiff pitcher (whiff% < 22%)
neutral
0 yes / 0 no · 0 HRs
// LIFT = P(HR | factor true) ÷ P(HR | factor false), Bayesian- shrunk with K=30 pseudo-games. Significance requires |lift − 1| ≥ 0.20 AND smaller cohort n ≥ 15. Cohort = top 60 HR hitters, last 2 seasons. Refreshed weekly. Green/red = the factor's effect on tonight's HR chance; gray = not in play tonight.
Last 10 games
Per-game outcomes — most recent first.
| Date | PA | H | 2B | 3B | HR | BB | K | Outcomes |
|---|
| 2026-08-01 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 1-for-4 · 1 SB · 1 K |
| 2026-07-31 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 0-for-3 · 1 BB |
| 2026-07-30 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 2-for-4 · 1 K |
| 2026-07-29 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 1-for-4 · 1 2B · 1 RBI |
| 2026-07-28 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 2-for-4 · 1 R · 1 K |
| 2026-07-27 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1-for-4 · 1 2B · 1 R · 1 K |
| 2026-07-26 | 5 | 2 | 0 | 0 | 0 | 0 | 1 | 2-for-5 · 1 K |
| 2026-07-25 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 0-for-3 · 1 BB · 1 K |
| 2026-07-24 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 0-for-3 · 1 R · 1 BB |
| 2026-07-22 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 2-for-4 · 1 2B · 2 R · 1 SB · 1 K |
Nearest neighbors
Top 10 hitters most similar to Josh Naylor across 38 features. Comp Lab uses these for small-sample BvP matchups.
Comp data temporarily unavailable.