DataBaseball
2026

Head to head · 2026 pitching

Andrew Morris vs Grant Wolfram

In 2026 the two have been worth the same 1.2 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.
StatisticAndrew MorrisGrant Wolfram
G6460
GS30
IP73.252.1
W46
SO6961
ERA4.404.30
FIP3.292.66
WHIP1.371.32
K/98.410.5
BB/93.32.8
FIP−7964
WAR1.21.2

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.
StatisticAndrew MorrisGrant Wolfram
G6481
GS30
IP73.279.0
W49
L85
SV51
SO6992
BB2731
ERA4.404.67
WHIP1.371.51
K/98.410.5
BB/93.33.5
HR/90.60.6
WAR1.21.6

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.