DataBaseball
2026

Head to head · 2026 pitching

Sam Moll vs Taylor Rogers

In 2026 the two have been worth the same 0.3 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.
StatisticSam MollTaylor Rogers
G6565
GS00
IP56.160.1
W26
SO5654
ERA4.794.33
FIP4.194.18
WHIP1.491.59
K/98.98.1
BB/94.84.6
FIP−100100
WAR0.30.3

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.
StatisticSam MollTaylor Rogers
G278631
GS10
IP235.0601.2
W1037
L1340
SV285
SO245680
BB114196
ERA3.983.44
WHIP1.331.23
K/99.410.2
BB/94.42.9
HR/90.80.9
WAR1.89.0

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.