DataBaseball
2026

Head to head · Career pitching

Roy Halladay vs Zack Wheeler

In 2013 Zack Wheeler has been worth 1.7 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 HalladayZack Wheeler
G251311
GS250311
IP1,774.21,890.1
W136127
L6680
SV00
SO1,4152,013
BB311537
ERA3.113.26
WHIP1.111.13
K/97.29.6
BB/91.62.6
HR/90.80.9
WAR40.941.3

2013 season

2013 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticRoy HalladayZack Wheeler
G1317
GS1317
IP62.0100.0
W47
SO5184
ERA6.823.42
FIP6.144.17
WHIP1.471.36
K/97.47.6
BB/95.24.1
FIP−159108
WAR-1.00.7

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.
StatisticRoy HalladayZack Wheeler
G513
GS511
IP38.074.1
W34
SV00
SO3580
BB517
ERA2.372.30
WHIP0.740.77
K/98.39.7
BB/91.22.1

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.