head to head
vs
Return of the Obra DinnvsSatisfactory
Return of the Obra Dinn leans Optimization (Pure Optimization); Satisfactory leans Optimization (Pure Optimization).
Return of the Obra DinnSatisfactory
Axis by axis
Execution0 vs 1
Satisfactory leans harder on execution: Light platforming, no real mechanical ceiling.
Reads0 vs 0
Even - both lean on reads about the same.
Variance0 vs 1
Satisfactory leans harder on variance: Resource nodes are fixed once mapped.
Optimization10 vs 10
Even - both lean on optimization about the same.
Two games can score the same on an axis and still test it in very different ways - read each rationale, not just the number.