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 a number of legendary throws and held many records during his career, 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) 11 145947 |
| 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.
⭐ indicates a thrower's personal best MPP, BPM, and Speed Bonus.
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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.