DataBaseball
2026

Head to head · 2026 pitching

Bryan King vs Dylan Lee

In 2026 Dylan Lee has been worth 2.1 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.
StatisticBryan KingDylan Lee
G6071
GS10
IP60.267.0
W36
SO5177
ERA5.193.09
FIP4.782.15
WHIP1.520.97
K/97.610.3
BB/93.42.3
FIP−11451
WAR-0.12.0

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.
StatisticBryan KingDylan Lee
G212
GS01
IP1.011.2
W02
SV00
SO211
BB03
ERA18.003.86
WHIP5.001.29
K/918.08.5
BB/90.02.3

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.
StatisticBryan KingDylan Lee
G156269
GS11
IP155.0271.1
W918
L108
SV82
SO152315
BB4466
ERA3.662.89
WHIP1.251.04
K/98.810.4
BB/92.62.2
HR/91.21.1
WAR1.34.8

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.