DataBaseball
2026

Head to head · 2026 NLDS pitching

Tyler Glasnow vs Dylan Lee

In 2026 Tyler Glasnow has been worth 0.1 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.

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

2026 NLDS.
StatisticTyler GlasnowDylan Lee
G13
GS10
IP4.22.2
W01
SV00
SO53
BB51
ERA1.930.00
WHIP1.290.75
K/99.610.1
BB/99.63.4
Every published postseason, pitching, summed with the rates recomputed from the counts.
StatisticTyler GlasnowDylan Lee
G1812
GS151
IP76.011.2
W22
SV10
SO9711
BB433
ERA4.503.86
WHIP1.381.29
K/911.58.5
BB/95.12.3

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticTyler GlasnowDylan Lee
G1371
GS130
IP74.067.0
W56
SO9877
ERA3.533.09
FIP2.742.15
WHIP0.950.97
K/911.910.3
BB/93.02.3
FIP−6551
WAR2.12.0

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.
StatisticTyler GlasnowDylan Lee
G180269
GS1411
IP828.0271.1
W4818
L388
SV02
SO1,050315
BB31566
ERA3.722.89
WHIP1.131.04
K/911.410.4
BB/93.42.2
HR/91.11.1
WAR17.04.8

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.