DataBaseball
2026

Head to head · 2026 pitching

Troy Melton vs Michael Wacha

In 2026 Michael Wacha has been worth 0.7 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.

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticTroy MeltonMichael Wacha
G2032
GS2032
IP114.1200.2
W89
SO94158
ERA2.833.32
FIP4.094.38
WHIP1.131.11
K/97.47.1
BB/92.92.4
FIP−98105
WAR1.52.2

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.
StatisticTroy MeltonMichael Wacha
G410
GS18
IP8.146.2
W14
SV00
SO847
BB420
ERA5.405.21
WHIP1.441.35
K/98.69.1
BB/94.33.9

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.
StatisticTroy MeltonMichael Wacha
G36341
GS24320
IP160.01,828.0
W11120
L785
SV00
SO1301,574
BB52557
ERA2.813.83
WHIP1.091.26
K/97.37.7
BB/92.92.7
HR/91.11.1
WAR1.624.3

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.