DataBaseball
2026

Head to head · Career pitching

Aaron Nola vs CC Sabathia

In 2019 Aaron Nola has been worth 3.8 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.

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.
StatisticAaron NolaCC Sabathia
G318435
GS318434
IP1,891.02,801.1
W116197
L101126
SV00
SO2,0532,493
BB508778
ERA3.913.63
WHIP1.171.24
K/99.88.0
BB/92.42.5
HR/91.21.0
WAR36.149.0

2019 season

2019 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticAaron NolaCC Sabathia
G3423
GS3422
IP202.1107.1
W125
SO229107
ERA3.874.95
FIP4.035.66
WHIP1.271.41
K/910.29.0
BB/93.63.3
FIP−90126
WAR3.6-0.2

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.
StatisticAaron NolaCC Sabathia
G1225
GS1222
IP57.1124.1
W59
SV00
SO62116
BB1358
ERA4.244.34
WHIP1.191.52
K/99.78.4
BB/92.04.2

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.