Head to head · 2026 ALDS pitching

Max Fried vs Drew Rasmussen

In 2026 Drew Rasmussen has been worth 1.3 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.

Opponents in the 2026 ALDS, where the Tampa Bay Rays won 3-0 over the New York Yankees.

Max Fried NYY

Drew Rasmussen TB

Postseason

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

2026 ALDS.
Statistic	Max Fried	Drew Rasmussen
G	1	1
GS	1	1
IP	5.2	8.0
W	0	1
SV	0	0
SO	7	10
BB	0	2
ERA	6.35	0.00
WHIP	1.24	0.38
K/9	11.1	11.3
BB/9	0.0	2.3

Every published postseason, pitching, summed with the rates recomputed from the counts.
Statistic	Max Fried	Drew Rasmussen
G	24	8
GS	16	6
IP	88.0	33.1
W	3	2
SV	0	0
SO	86	36
BB	24	5
ERA	5.11	2.70
WHIP	1.45	0.99
K/9	8.8	9.7
BB/9	2.5	1.3

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
Statistic	Max Fried	Drew Rasmussen
G	20	30
GS	20	30
IP	112.2	172.0
W	5	16
SO	104	174
ERA	2.80	2.67
FIP	2.65	2.82
WHIP	0.99	0.91
K/9	8.3	9.1
BB/9	2.6	1.7
FIP−	63	67
WAR	3.5	4.8

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.
Statistic	Max Fried	Drew Rasmussen
G	220	160
GS	203	111
IP	1,192.1	632.2
W	97	46
L	46	22
SV	0	2
SO	1,156	602
BB	330	151
ERA	3.01	2.83
WHIP	1.14	1.02
K/9	8.7	8.6
BB/9	2.5	2.1
HR/9	0.7	0.8
WAR	28.3	14.3

Max Fried’s full profile →Drew Rasmussen’s full profile →

More head to heads

The same seasons, measured against somebody else.

Max Fried vs

Drew Rasmussen vs

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.