DataBaseball
2026

Head to head · Career pitching

Clayton Kershaw vs Cliff Lee

In 2014 Clayton Kershaw has been worth 5.2 more wins. Both lines are computed from play-by-play on the same constants, so they are measured the same way rather than quoted from two sources.

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2005 begins at 2005, not at his real first game.

Career pitching totals. ERA, WHIP and the per-nine rates are recomputed from the components rather than averaged; FIP needs each season’s own constant and is left to the season table.
StatisticClayton KershawCliff Lee
G455284
GS451280
IP2,855.11,915.0
W223126
L9679
SV00
SO3,0521,613
BB713355
ERA2.533.35
WHIP1.021.17
K/99.67.6
BB/92.21.7
HR/90.70.9
WAR74.441.7

2014 season

2014 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticClayton KershawCliff Lee
G2713
GS2713
IP198.181.1
W214
SO23972
ERA1.773.65
FIP1.812.96
WHIP0.861.38
K/910.88.0
BB/91.41.3
FIP−4879
WAR6.91.7

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

Every published postseason, pitching, summed with the rates recomputed from the counts.
StatisticClayton KershawCliff Lee
G4111
GS3211
IP196.282.0
W137
SV10
SO21389
BB5410
ERA4.622.52
WHIP1.140.93
K/99.79.8
BB/92.51.1

More head to heads

The same seasons, measured against somebody else.

How these are computed

FIP uses the constant solved from this season’s own runs, and FIP− is park-adjusted against the same league. dbWAR is our own open implementation — not fWAR or bWAR — and the full derivation, including its simplifications, is on the methodology page. To put these two beside a third, the comparison page takes up to four.