DataBaseball
2026

Head to head · 2026 pitching

Craig Kimbrel vs Nate Pearson

In 2026 Nate Pearson 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.

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticCraig KimbrelNate Pearson
G4642
GS00
IP46.046.0
W13
SO4041
ERA4.504.11
FIP4.123.97
WHIP1.351.37
K/97.88.0
BB/94.35.1
FIP−9995
WAR0.30.4

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.
StatisticCraig KimbrelNate Pearson
G301
GS00
IP30.02.0
W00
SV100
SO325
BB200
ERA4.500.00
WHIP1.430.00
K/99.622.5
BB/96.00.0

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.
StatisticCraig KimbrelNate Pearson
G897165
GS06
IP867.2202.2
W5712
L5310
SV4417
SO1,322201
BB368100
ERA2.694.93
WHIP1.041.43
K/913.78.9
BB/93.84.4
HR/90.81.3
WAR19.70.1

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.