> ## Documentation Index > Fetch the complete documentation index at: https://offthepace.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # int_qualifying_driver_summary > 02b (Tier 1). Part of the [Pace Baselines](/transform/families/pace-baselines) family. 02b (Tier 1). Driver-weekend qualifying summary, one row per (race\_year, race\_id, driver\_id), read off int\_qualifying\_decomposed's push-lap rows and rolled up to the whole qualifying session. The first channel in the feature contract's lineage sourced from a strictly-prior SESSION rather than a further transform of race-lap residuals -- qualifying runs before the race, so no lag/expanding-window treatment is needed, PROVIDED (as here) every input column is itself scoped to the qualifying session. quali\_vs\_race\_skill\_delta\_s is DELIBERATELY NOT CARRIED. int\_qualifying\_decomposed computes it by subtracting a same-race average of driver\_skill\_residual\_s (race\_driver\_race\_avg) -- a race-session aggregate not knowable until the race has finished, the same forward-reach shape 02a ruled on in int\_corner\_skill\_residuals, one grain coarser (the whole race instead of a 5-lap bucket). See this model's own SQL header and int\_qualifying\_decomposed's own aggregation\_scope\_exemptions entry above for the full ruling. HONEST CEILING. This grain is stint-invariant: every lap of a driver's race sees the same value. Per the leaf doc's ยง1, 99.06% of the degradation target's variance is within-stint, so this group can only ever address the other 0.94%. Expected to move cliff\_classifier and/or stint\_life\_regressor, not the degradation trio -- 02b's pre-registered arms test that expectation, they do not assume it. ## Lineage ```mermaid theme={null} flowchart LR int_qualifying_decomposed --> int_qualifying_driver_summary int_qualifying_driver_summary --> fct_cliff_prediction_features style int_qualifying_driver_summary fill:#e40404,stroke:#e40404,color:#fff ``` ## Overview | Property | Value | | ----------------- | ---------------------------------------------------------- | | Layer | `intermediate` | | Family | [Pace Baselines](/transform/families/pace-baselines) | | Contract enforced | No | | Tags | `feature_engineering` | | Upstream | [`int_qualifying_decomposed`](./int_qualifying_decomposed) | | Model-level tests | `unique_combination_of_columns` | **5 tests** [guard](/transform/ci/overview) this model - 5 generic, 0 singular. ## Columns | Column | Type | Nullable | Tests | Description | | ---------------------------------- | ---- | -------- | -------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `race_year` | | Yes | [`not_null`](/transform/ci/structural) | Season year. | | `race_id` | | Yes | [`not_null`](/transform/ci/structural) | Race identifier. | | `driver_id` | | Yes | [`not_null`](/transform/ci/structural) | FastF1 three-letter driver code. | | `quali_push_laps_n` | | Yes | [`not_null`](/transform/ci/structural) | Push laps this driver set across Q1/Q2/Q3 this weekend (COUNT(\*) over int\_qualifying\_decomposed's push-lap rows for this driver-weekend). The mart COALESCEs this to 0 for a driver-weekend with no row here at all -- a genuine "no qualifying record" (DNQ or a data gap), not an invented value. | | `quali_constructor_pace_mean_s` | | Yes | | Mean constructor\_component\_s over the driver's push laps this weekend: a car's one-lap aero/power level, measured with fuel, strategy and traffic all near-absent. MEAN smooths Q1/Q2/Q3 segment-to-segment noise in a term expected to be near-stable across one weekend. | | `quali_constructor_pace_se_mean_s` | | Yes | | Mean of constructor\_component\_se\_s over the same push laps -- the average estimation uncertainty on the pace term above. | | `quali_pace_delta_best_s` | | Yes | | MIN(quali\_pace\_delta\_s) over the weekend, i.e. the driver's single best push lap: quali\_pace\_delta\_s is positive/higher = slower by construction (see int\_lap\_residual\_decomposed\_qualifying's header), so MIN is the fastest lap. | | `quali_ratio_to_segment_best_min` | | Yes | | MIN(ratio\_to\_segment\_best) over the weekend -- how close the driver's best lap in any segment came to that segment's own fastest push lap. Same "higher = slower" orientation as quali\_pace\_delta\_best\_s above. | | `quali_skill_session_avg_s` | | Yes | | MAX(quali\_skill\_session\_avg\_s) over the driver's push-lap rows. Already computed at this exact (race\_year, race\_id, driver\_id) grain one level up in int\_qualifying\_decomposed and repeated on every push-lap row there, so MAX is a value-preserving collapse of an already-constant column, not a real aggregation -- the same property 02c's QUALIFY ROW\_NUMBER() dedupe relies on for its own repeated-value rows. | | `quali_segments_contested_n` | | Yes | | MAX(quali\_segments\_contested\_n) over the driver's push-lap rows -- same value-preserving collapse as quali\_skill\_session\_avg\_s above. Segments (1-3) in which the driver set a best push lap. |