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Home›Race Analysis›Strategy & Pit Stops›When Is an Extra F1 Pit Stop Worth the Time Loss?

Strategy & Pit Stops · 5 min read

When Is an Extra F1 Pit Stop Worth the Time Loss?

Use a break-even calculation as a screening test, then account for tyre evolution, traffic and track position.

Valtteri BottasSauberCircuit de Monaco
DeanPublished 2026-10-05Data checked 2026-10-02
A McLaren MCL38 displayed in the pit lane at the 2024 Chinese Grand Prix.
Illustrative photograph: McLaren MCL38 in the pit lane at the 2024 Chinese Grand Prix; the image does not show a measured pit-stop time. Photograph: Liauzh. Original source Wikimedia Commons file CC BY-SA 4.0 Resized and compressed; no crop.

In this story

Category

Race AnalysisStrategy & Pit Stops

Drivers

Valtteri Bottas

Teams

Sauber

Circuits

Circuit de Monaco

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At a glance
An extra stop is worthwhile on elapsed time only when the cumulative pace gained on fresh tyres exceeds the net time lost entering and leaving the pit lane. The crossover is simple to model, but both inputs vary by circuit, traffic, tyres and race phase.

  • Break-even modelL ÷ Glaps needed to recover pit loss
  • Illustrative pit loss20.0 sassumption, not event data
  • At 1.0 s/lap gain20 lapscalculated crossover
  • Monaco 2024 Bottas stop24.239 srecorded duration, not net loss

The crossover calculation

For example, a 20-second net loss and a sustained 1.0-second-per-lap gain require 20 usable laps to break even; at 0.5 seconds per lap the same stop needs 40. Those values are illustrative model inputs, not measured tyre deltas. If the expected advantage changes from lap to lap, the useful comparison is the cumulative sum of the actual expected gains against the one-time loss.

Let L be the net pit-stop time loss compared with staying on track, and G the average lap-time advantage from the fresher tyre over the old tyre for each remaining lap. In a simplified model, the stop reaches break-even after N = L ÷ G laps. If the race has fewer usable laps remaining, the pace advantage cannot repay that assumed loss. If it has more, the arithmetic says a time gain is possible.

The chart holds net loss at 20.0 seconds and varies the assumed pace advantage from 0.3 to 2.0 seconds per lap. With only 0.3 seconds gained each lap, recovery takes about 66.7 laps; at 1.0 second, 20 laps; at 2.0 seconds, 10. These are sensitivity examples, not observed tyre degradation, Pirelli compound deltas or a recommendation for any specific race.

Calculated break-even laps for an illustrative fixed 20.0-second net pit loss and varying hypothetical pace advantages. Not observed F1 tyre data.

Break Even Laps

Assumed average pace advantage in seconds per lap; calculated break-even laps. · Illustrative model; fixed assumed net pit loss 20.0 seconds

  1. 0.366.7
  2. 0.540.0
  3. 0.7526.7
  4. 120.0
  5. 1.513.3
  6. 210.0
Calculated break-even laps for an illustrative fixed 20.0-second net pit loss and varying hypothetical pace advantages. Not observed F1 tyre data.
Calculated break-even laps for an illustrative fixed 20.0-second net pit loss and varying hypothetical pace advantages. Not observed F1 tyre data.
Pace Advantage Sec Per LapAssumed Net Pit Loss SecondsBreak Even Laps
0.32066.7
0.52040.0
0.752026.7
12020.0
1.52013.3
22010.0

Why pit-lane duration is not pit loss

Race timing records can tempt readers to substitute a stop duration for L. They are different measures. In the 2024 Monaco Grand Prix, the FIA timing summary records Valtteri Bottas’s Lap 15 stop as 24.239 seconds. That timing interval is not the counterfactual difference between pitting and remaining at racing speed. Net loss depends on pit-lane travel, stationary service, entry and exit, and the time competitors spend circulating during the same interval.

The Monaco race also began with a red flag after a first-lap collision. Most drivers changed tyre compounds while stopped during the interruption, and their later green-flag pit decisions occurred in an unusual strategic context. The official pit-stop sheet is useful evidence of recorded stop durations, but it cannot supply a general Monaco pit-loss constant or a clean comparison of one-stop and two-stop strategies.

What the equation leaves out

Inputs that change the real decision
Input Question to answer Why it matters
Net pit loss, L What time would this car lose against staying out now? Traffic, pit-lane speed, service and safety-car conditions change the answer
Pace gain, G How much faster is the replacement tyre over this stint? Compound, age, temperature, fuel load and driver management affect the delta
Remaining laps How many laps remain after the stop and out-lap? The simple model assumes every lap earns the same gain
Track position Where does the car rejoin, and can it pass? A time gain can be lost behind traffic or fail to convert into places

Real tyre advantage is rarely constant. A fresh tyre may need preparation; a worn tyre may lose pace unevenly; traffic can prevent a driver using available grip; and a neutralisation changes the time cost. Teams also optimize championship points and position, not only total race time. The calculation is therefore a screening test: it identifies when an extra stop might repay a defined assumed loss, then simulations and live information refine the call.

For the wider tyre context, read our F1 tyre strategy guide and explore the Monaco circuit topic. The Race Analysis hub links to qualifying, strategy and race debriefs.

Sources and method

Recorded example: FIA 2024 Monaco Race Pit Stop Summary and the Formula 1 results archive; Bottas, Lap 15, duration 24.239 seconds. The event context and tyre allocation appear in Formula 1’s 2024 Monaco tyre preview. Model method: break-even laps = assumed net pit loss (20.0 seconds) divided by assumed average pace advantage (seconds per lap); values rounded to one decimal. All chart inputs are hypothetical, not measured race data.

Championship snapshot

Standings

Season 2026 · Round 15

Drivers

Points
  1. 1Kimi AntonelliMercedes302
  2. 2George RussellMercedes236
  3. 3Lewis HamiltonFerrari199
  4. 4Lando NorrisMcLaren186
  5. 5Charles LeclercFerrari179
  6. 6Max VerstappenRed Bull Racing163
  7. 7Oscar PiastriMcLaren120
  8. 8Isack HadjarRed Bull Racing86
  9. 9Liam LawsonRacing Bulls59
  10. 10Pierre GaslyAlpine41

Constructors

Points
  1. 1Mercedes538
  2. 2Ferrari378
  3. 3McLaren306
  4. 4Red Bull Racing263
  5. 5Racing Bulls83
  6. 6Alpine68
  7. 7Haas F1 Team27
  8. 8Audi17
  9. 9Williams12
  10. 10Aston Martin3

Snapshot: 2026-09-30 01:26 UTC

Driver standings sourceConstructor standings source

Dated snapshot; not a live timing feed.

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