DataBaseball
2026

Head to head · 2026 pitching

Taylor Clarke vs Cal Quantrill

In 2026 Cal Quantrill has been worth 0.4 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.
StatisticTaylor ClarkeCal Quantrill
G7132
GS215
IP73.0110.0
W29
SO4581
ERA2.962.86
FIP3.864.01
WHIP1.001.04
K/95.56.6
BB/91.72.0
FIP−9296
WAR0.71.1

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.
StatisticTaylor ClarkeCal Quantrill
G—3
GS—2
IP—10.1
W—0
SV—0
SO—9
BB—5
ERA—5.23
WHIP—1.26
K/9—7.8
BB/9—4.4

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.
StatisticTaylor ClarkeCal Quantrill
G305219
GS24164
IP407.2946.2
W1856
L2051
SV81
SO349703
BB120294
ERA4.424.17
WHIP1.251.30
K/97.76.7
BB/92.62.8
HR/91.51.2
WAR1.56.8

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.