Tony Hawk's Pro Skater

Both lean on execution about the same (8 vs 8). Biggest difference: variance (0 vs 1) - Deterministic outside slight tyre wear modelling

Both lean on execution about the same (8 vs 8). Biggest difference: reads (0 vs 1) - AI drivers don't meaningfully adapt

Both lean on reads about the same (0 vs 0). Biggest difference: execution (8 vs 7) - Weighty handling model punishes sloppy inputs.

Both lean on reads about the same (0 vs 0). Biggest difference: optimization (6 vs 4) - City routes and mission tactics learnable

Both lean on reads about the same (0 vs 0). Biggest difference: variance (0 vs 2) - Weather and surface degradation vary between stages

Both lean on execution about the same (8 vs 8). Biggest difference: variance (0 vs 2) - Mid-stage surprises minimal once pace notes are internalised

Both lean on reads about the same (0 vs 0). Biggest difference: optimization (6 vs 4) - Line choice and trick scoring math reward study

Both lean on execution about the same (8 vs 8). Biggest difference: optimization (6 vs 4) - Spot selection and line planning improve scores

Both lean on execution about the same (8 vs 8). Otherwise the profiles match closely.

Both lean on execution about the same (8 vs 8). Otherwise the profiles match closely.

Both lean on reads about the same (0 vs 0). Biggest difference: execution (8 vs 7) - Combo timing, dodges, and QTEs set the bar

Both lean on execution about the same (8 vs 8). Biggest difference: reads (0 vs 1) - Bosses run scripted attack pools; not adaptive.