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 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

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2015 begins at 2015, 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 table above.
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.