Justin
Justin is the perennial contender — a young thrower with the volume, stamina, and results to stand shoulder to shoulder with the league’s best.
He's the undisputed king of the small trucks. This may seem like faint praise, but it's no small feat. Small trucks are messy, generally contain lots of small boxes, and are easy to underestimate. In fact, we have < 1,500 (adjusted) trucks in the database that have taken hours to unload.
Since the inaugural season, Justin has stacked up trucks and podiums, showing a relentless work ethic and steady upward trajectory in his MPP, BPM, and speed bonus.
So far, like Sterling Moss in Formula One, a championship has remained just out of reach for Justin. In this way, he embodies the paradox of Cargo Champs: raw ability and consistency may not yield a crown, but they still command respect and drive exceptional outcomes.
Justin is, by far, one of the sport’s purest talents.
| Throwbriquet | Seasons Active |
|---|---|
| Rainmaker | — |
| First Truck | Last Truck |
|---|---|
| — | — |
| Nationality | Home Store |
|---|---|
| 🇺🇸 | Walmart #2031 (Union City, CA, USA) |
| Trucks Thrown | Championships | Podiums | Career Points |
|---|---|---|---|
| — | — | — | — |
| Sub-Hour Throws | Two-Truck Days | Legendary Throws |
|---|---|---|
| - | - |
| Record | Metric | Held |
|---|
⭐ + bold dates/seasons indicate a currently-held record.
The following charts track three key performance metrics that measure a thrower's effort, pace, and competitive edge.
Together, these metrics strip away noise like truck size or teammate mix. They measure what’s truly in the thrower’s control.
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The graphs represent the running cumulative average of a thrower's metrics across time and include only trucks where the thrower or throwing team threw 90%+ of the truck.
Trendlines attempt to reflect the behavior of a particular performance metric.
Minutes Per Panel (MPP) uses a LOESS trendline, a locally weighted regression that smooths short-term fluctuations while preserving the natural, nonlinear “learning-curve” shape of skill improvement over time.
Boxes Per Minute (BPM) uses a moving-average trendline, which filters random noise from day-to-day variation and highlights changes in throughput consistency and stamina.
Speed Bonus uses a linear-regression trendline, showing the athlete’s overall direction of improvement relative to normalized truck size and peer averages.
Together these trendlines attempt to balance clarity and realism, revealing long-term progress without distorting the underlying data.