DataBaseball
2026

Head to head · 2026 pitching

Tanner Houck vs Germán Márquez

In 2026 Tanner Houck has been worth 0.8 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.
StatisticTanner HouckGermán Márquez
G113
GS110
IP3.053.0
W04
SO137
ERA9.005.26
FIP11.106.61
WHIP1.331.49
K/93.06.3
BB/90.04.1
FIP−266158
WAR-0.2-1.0

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.
StatisticTanner HouckGermán Márquez
G51
GS01
IP10.15.0
W10
SV00
SO105
BB01
ERA5.233.60
WHIP0.681.60
K/98.79.0
BB/90.01.8

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.
StatisticTanner HouckGermán Márquez
G114216
GS81210
IP477.11,199.1
W2472
L3374
SV91
SO4501,106
BB158378
ERA4.004.70
WHIP1.241.34
K/98.58.3
BB/93.02.8
HR/90.81.3
WAR8.016.3

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.