DataBaseball
2026

Head to head · 2025 pitching

Tylor Megill vs Kai-Wei Teng

In 2025 Tylor Megill has been worth 0.9 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.

2025 season

2025 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticTylor MegillKai-Wei Teng
G148
GS147
IP68.129.2
W52
SO8939
ERA3.956.37
FIP3.433.81
WHIP1.361.55
K/911.711.8
BB/94.35.2
FIP−8292
WAR1.40.5

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.
StatisticTylor MegillKai-Wei Teng
G2—
GS0—
IP4.1—
W0—
SV0—
SO5—
BB5—
ERA10.38—
WHIP2.54—
K/910.4—
BB/910.4—

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.
StatisticTylor MegillKai-Wei Teng
G8842
GS8117
IP409.2114.1
W267
L2611
SV00
SO435119
BB16358
ERA4.465.67
WHIP1.391.50
K/99.69.4
BB/93.64.6
HR/91.31.1
WAR4.50.2

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.