Description
XXL Reloading is a web-based reloading resource designed to help users compare and analyze load data across a broad range of powders, bullets, and calibers. At its core is an extensive searchable database containing millions of load combinations. Users can filter results by caliber, projectile weight and diameter, manufacturer, and other criteria, then review and compare essential parameters such as charge ranges, pressure levels, velocity estimates, and case fill ratios.
The platform is regularly expanded, with ongoing updates that introduce additional powders, projectiles, calibers, and newly compiled load data. Feature enhancements and database additions are communicated directly on the site, reflecting an active development cycle.
Beyond raw load listings, XXL Reloading also offers reference materials and supporting content, including manuals and component summaries. This combination of searchable data, analytical comparison tools, and informational resources positions the platform as a centralized hub for handloaders seeking structured load research and cross-source comparison.
Available Languages
English, German
Data Overview
General
| Application Format | web application - can be accessed from any device with a web browser |
| Update Availability | (Continuously updated. Users can request new bullets.) |
| Cross-device accessibility | |
| Price of application | €24.00(plus €10.00 one-time setup) |
| Price of updates | free |
Data Quality and Transparency
| Overall Cartridge Length | |
| Case Capacity | |
| Barrel Length | |
| Load Density |
Coverage
| Number of Load Recipes | 5,378,184(constantly growing) |
| Number of Bullet Brands | 66 |
| Number of Bullets | 4,931(covering all relevant bullet brands) |
| Number of Calibers | 442 |
| Number of Powder Brands | 18 |
| Number of Powders | 266(covering all commercially available powder brands) |
Additional features
| Load Diary | |
| Velocity Measurement Log |
Calculator options
| Trajectory Calculator / Data | |
| Target Velocity Calculator |
xxlreloading.com offers an extensive collection of ready-to-use load data, giving users immediate access to a wide range of documented component combinations. In addition to structured load tables, the platform features a personalized load calculator that allows users to tailor loads to their specific components, firearm configuration, and performance goals. The integration of reference data with an embedded ballistic calculation tool provides a level of adaptability that is rarely combined within a single platform.
Beyond its technical features, the site is supported by an active user community. Members share practical loading experiences, measured case capacities, and other real-world observations that supplement the published data. These contributions add context and applied insight, helping to bridge the gap between theoretical values and actual range results.
Together, the comprehensive database, customizable analytical tools, and collaborative knowledge exchange make xxlreloading.com especially appealing to beginner and intermediate reloaders who value both structured guidance and the flexibility to refine loads according to their individual needs.
xxlreloading.com incorporates a default 10% safety buffer into its calculated load data. As a result, the published maximum values may appear comparatively conservative when viewed alongside certain other references.
This built-in margin is not fixed. Through the personalized load calculator, users can adjust the safety factor as well as other relevant input parameters. This flexibility allows computations to be aligned more closely with a specific firearm, component selection, or working assumption.
When comparing load data from xxlreloading.com with information from other sources, it is essential to ensure that the underlying conditions are equivalent. Key variables such as cartridge overall length (OAL), case capacity, barrel length, and similar inputs must match. Without harmonizing these factors, apparent discrepancies in charge weight, pressure, or velocity may simply reflect differing assumptions rather than meaningful performance differences. Proper alignment of inputs is necessary to achieve a valid, “apples-to-apples” comparison across load data providers.