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Oliver

Oliver, known on the floor as "Truck Norris," is both the architect of Cargo Champs and a veteran thrower whose career blends consistency with flashes of mythic power. He has delivered three legendary throws and posted a blistering career-high 41 BPM, proving his ability to push freight at world-class speed.

Though he has yet to capture a championship, Oliver’s mix of grit, stamina, and iconic moments has carved him a respected place in Cargo Champs history. His archetype isn’t the relentless champion but the battle-tested contender — a thrower who shows that greatness comes not only from titles but from the weight of effort and the legend of unforgettable throws.

Throwbriquet Seasons Active
👊 Truck Norris
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
- -

184632 (w/ Shivam))

160551 (w/ Musaver)

170920

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.

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