1776 Pre Workout
vs Bucked Up Pre Workout
Ingredient & Score Comparison
Last updated: Feb 2026
PwrRanks Verdict
Score Comparison
Objective scores based on ingredient dosing β 0 to 1 scale
1776 Pre Workout's formula has 200mg Caffeine Yield and 1mg Alpha Yohimbine, which contribute to a higher energy score.
1776 Pre Workout's formula has 6g L-Citrulline and 2.5g Betaine Anhydrous, which contribute to a higher pump score.
1776 Pre Workout's formula has 1.5g L-Tyrosine and 300mg Alpha-GPC, which contribute to a higher focus score.
1776 Pre Workout delivers more performance per dollar than Bucked Up Pre Workout β based on how both products compare to the broader pre-workout market.
Ingredient Comparison
1776 vs Bucked Up β dosing per serving
| Ingredient | Objective | 1776 | Bucked Up |
|---|---|---|---|
| Caffeine Yield | Energy | 200mg | 200mg |
| Alpha Yohimbine | Energy | 1mg | β |
| L-Citrulline | Pump | 6g | 4g |
| Betaine Anhydrous | Pump | 2.5g | β |
| Pine Bark Extract | Pump | 250mg | β |
| Sodium | Pump | β | 100mg |
| Taurine | Pump | β | 100mg |
| AstraGin | Pump | 50mg | 25mg |
| L-Tyrosine | Focus | 1.5g | β |
| Alpha-GPC | Focus | 300mg | 200mg |
| Beta-Alanine | - | 3.2g | 2g |
| Malic Acid | - | β | 2g |
| L-Norvaline | - | 125mg | β |
| Synephrine HCl | - | 100mg | β |
| Kanna | - | 50mg | β |
| Deer Antler Velvet Extract | - | β | 50mg |
| Senactiv | - | β | 25mg |
Who Should Buy Each
Matching products to training goals and stim tolerance
Choose 1776 Ifβ¦
- βYou respond well to alpha-yohimbine
- βMind-muscle connection is as important to you as raw energy
- βPump and vascularity are a priority in your training
- βGetting strong performance without overpaying per serving matters to you
Choose Bucked Up Ifβ¦
- βYou want some pump support without it dominating the formula
Frequently Asked Questions
Common questions about these two pre-workouts
They're tied β both have 200mg total caffeine per serving.
More Comparisons
How PwrRanks Scores Pre-Workouts
Our methodology
PwrRanks scores every pre-workout by analyzing its ingredient label algorithmically. We generate four objective scores β Energy, Pump, Focus, and Value β that reflect what's in the tub, not how the product is marketed. Value scores are calculated using live pricing data to reflect real cost-per-serving at time of comparison.


