DataBaseball
2026

Head to head · Career pitching

Roy Halladay vs Chris Sale

In 2013 Chris Sale has been worth 5.3 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.
StatisticRoy HalladayChris Sale
G251420
GS250339
IP1,774.22,246.2
W136159
L6697
SV012
SO1,4152,779
BB311518
ERA3.112.95
WHIP1.111.04
K/97.211.1
BB/91.62.1
HR/90.80.9
WAR40.960.0

2013 season

2013 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticRoy HalladayChris Sale
G1330
GS1330
IP62.0214.1
W411
SO51226
ERA6.823.07
FIP6.143.17
WHIP1.471.07
K/97.49.5
BB/95.21.9
FIP−15982
WAR-1.04.3

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.
StatisticRoy HalladayChris Sale
G513
GS59
IP38.046.2
W31
SV00
SO3566
BB514
ERA2.375.79
WHIP0.741.33
K/98.312.7
BB/91.22.7

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.