Felipe Massa 2014 form guide

Compare Felipe Massa‘s performance against his team mate throughout the 2014 F1 season.

Race finishing positions

Felipe Massa771513712451335711432
Team mate58875732283411635103

Performance comparison

Felipe MassaValtteri Bottas
Qualified ahead613
Average qualifying gap+0.401s
Finished race ahead87
Laps spent ahead488443

Qualifying gap

Gap in seconds between Felipe Massa and his team mate in the last part of qualifying where both set a time, for each race.

A positive time means the driver was slower than his team mate, a negative time means they were faster:


Felipe Massa-0.0679999999999978-0.2959999999999920.26400000000001-0.1350000000000190.77000000000001-0.1980000000000080.0280000000000058-0.08700000000000330.3769999999999950.3190000000000030.8690000000000281.128999999999990.168000000000021-0.1869999999999980.3990000000000013.939000000000010.298999999999992-0.05800000000000690.0940000000000225

3 comments on “Felipe Massa 2014 form guide”

  1. Perhaps anomalies such as the gap between Massa and Bottas in Sochi should be removed from these statistics to give a more accurate picture.

    1. @ed24f1 It’s a tricky call because it’s a massive grey area. Vettel’s KERS problem at Suzuka springs to mind as an example – it probably only cost him a few tenths, and he nearly out-qualified Webber despite it. So should it be included or not?

      Really it’s not the obvious anomalies like this Massa one which are the ones to be wary of, it’s the minor setbacks like that one of Vettel’s, which are far more frequent.

      1. @keithcollantine: You’re right about the grey areas, but I think a point could be made for the use of an algorithm that excludes possible statistical outliers regardless of their causes. While an obvious abnormity such as the Sochi qualifying greatly affects the comparison between Massa and Bottas (the “average gap” being larger than the results of 14 out of 19 qualis; the average without Sochi would’ve been close to 0.2 seconds rather than 0.4), a problem like Vettel’s didn’t affect the statistic significantly (its exclusion would’ve lead to an average gap of 0.54 instead of 0.51) and thus wouldn’t have to be filtered out.
        That being said, there’s nothing wrong with simply collecting the data as they are, thus leading to “raw” data that may require some refinement before spewing out meaningful statistics.

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