> ## 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_pit_strategy_cost_curve > One row per (stint_id, horizon_scope, candidate_pit_lap_offset): the Total_Cost(L) surface int_pit_strategy_value's header described for two years and never computed. Part of the [Strategy](/transform/families/strategy) family. One row per (stint\_id, horizon\_scope, candidate\_pit\_lap\_offset): the Total\_Cost(L) surface int\_pit\_strategy\_value's header described for two years and never computed. Cost of pitting after L laps on the current set = wear on the old set over those laps + wear on the next set over the rest of the horizon + a compound baseline offset + pit-lane loss discounted by the chance a safety car has already appeared. L = H is the no-stop candidate, which pays no pit term and is what makes a stop have to justify itself. THE SC DISCOUNT IS LOAD-BEARING: under a fixed one-stop the pit loss is the same whenever you take it, so it adds a constant to every candidate and cancels out of the argmin entirely - a longer pit lane would move nothing. Discounting it by 1 - (1 - m)(1 - (1 - h)^L), with h from int\_sc\_hazard\_history, is what makes waiting pay and gives the model the property assert\_pit\_loss\_pushes\_optimum\_later checks. Per-lap wear is capped at var('compound\_wear\_max\_s\_per\_lap') -- the shared bound, which int\_compound\_cliff\_predicted now applies to the same three terms as of Phase 8. The cliff polynomial is unbounded, reaching 136 s/lap extrapolated to age 80 and already 93 s/lap in-sample. ## Lineage ```mermaid theme={null} flowchart LR dim_compounds_season --> int_pit_strategy_cost_curve int_pit_loss_circuit --> int_pit_strategy_cost_curve int_sc_hazard_history --> int_pit_strategy_cost_curve int_stint_geometry --> int_pit_strategy_cost_curve stg_weather --> int_pit_strategy_cost_curve int_pit_strategy_cost_curve --> int_pit_strategy_value style int_pit_strategy_cost_curve fill:#e40404,stroke:#e40404,color:#fff ``` ## Overview | Property | Value | | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Layer | `intermediate` | | Family | [Strategy](/transform/families/strategy) | | Contract enforced | No | | Tags | `simulation`, `strategy` | | Upstream | [`int_stint_geometry`](./int_stint_geometry), [`stg_weather`](../stg/stg_weather), [`dim_compounds_season`](../dim/dim_compounds_season), [`int_pit_loss_circuit`](./int_pit_loss_circuit), [`int_sc_hazard_history`](./int_sc_hazard_history) | | Model-level tests | `unique_combination_of_columns` | **18 tests** [guard](/transform/ci/overview) this model - 16 generic, 2 singular. ## Columns | Column | Type | Nullable | Tests | Description | | -------------------------- | ---- | -------- | -------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `stint_id` | | Yes | [`not_null`](/transform/ci/structural) | FK to int\_stint\_geometry. Part of the compound PK. | | `horizon_scope` | | Yes | [`not_null`](/transform/ci/structural), [`accepted_values`](/transform/ci/range-and-domain) | window = this stint's first lap through the next stint's last; race = through the driver's last lap of the race. Both are emitted for every stint that has them. | | `horizon_laps` | | Yes | [`not_null`](/transform/ci/structural) | Length of the horizon in valid laps. | | `candidate_pit_lap_offset` | | Yes | [`not_null`](/transform/ci/structural) | Laps run on the current set before boxing, in valid laps. Runs 1..horizon\_laps; the last value is the no-stop candidate. Part of the compound PK. | | `laps_on_new_set` | | Yes | [`not_null`](/transform/ci/structural) | horizon\_laps minus the offset. Zero for the no-stop candidate. | | `old_wear_cost_s` | | Yes | [`not_null`](/transform/ci/structural) | Cumulative wear over the laps run on the current set, evaluated on its own fitted curve from the age the stint opened on - a stint started on a used set begins part-way up that curve rather than at zero. | | `new_wear_cost_s` | | Yes | [`not_null`](/transform/ci/structural) | Cumulative wear over the rest of the horizon on the next set, from age 1. | | `baseline_cost_s` | | Yes | [`not_null`](/transform/ci/structural) | Per-lap pace offset between the two compounds (compound\_grip\_peak plus the optimal-temperature term) over the laps on the new set. Both inputs are per-compound CONSTANTS in compound\_cliff\_params, never fitted, and grip\_peak as typed prices SOFT slower than HARD. var('pit\_strategy\_baseline\_delta') decides whether this term is allowed to move the argmin; setting it FALSE zeroes this column. | | `sc_hazard_per_lap` | | Yes | [`not_null`](/transform/ci/structural) | Per-racing-lap SC/VSC hazard for the circuit, EB-shrunk, from int\_sc\_hazard\_history. 0.0 for a circuit with no ingested track\_status timeline, which makes the discount constant and returns the model to the pit-loss-cancels case. | | `sc_probability` | | Yes | [`expect_column_values_to_be_between`](/transform/ci/range-and-domain) | P(a caution has appeared within the candidate's laps) = 1 - (1 - h)^L. | | `pit_discount_factor` | | Yes | [`not_null`](/transform/ci/structural), [`expect_column_values_to_be_between`](/transform/ci/range-and-domain) | Fraction of the green-flag pit-lane loss this candidate expects to pay. Non-increasing in the candidate lap - asserted by assert\_pit\_discount\_monotone - and a hard 0 for the no-stop candidate. | | `wear_cost_s` | | Yes | [`not_null`](/transform/ci/structural) | Everything that does not scale with pit\_lane\_loss\_s. Split out so a consumer - or assert\_pit\_loss\_pushes\_optimum\_later - can re-minimise at a different pit loss without rebuilding the curve. | | `total_cost_s` | | Yes | [`not_null`](/transform/ci/structural) | wear\_cost\_s + pit\_lane\_loss\_s x pit\_discount\_factor. The argmin target. |