Brady Basso — OGILVIE

Brady Basso P Athletics

Age 28 LHP 6'2" / 213 lbs MLB

2026 ROS PROJECTION69 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9199vR 107

ERA4.03

FIP4.24

K%18.3%

BB%8.0%

K-BB%10.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 74 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL4545

CMD3535

K†4545

Statcast Percentiles

FB Velo

p2592.7

Whiff%

p2221.4%

p1617.3%

xwOBA vs

p640.298

FB (51%)

CT (17%)

SI (8%)

SL (10%)

CU (18%)

CH-0.9 (3%)

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2019	21	ROK MLE	AZL Athletics Gold	15	1	26	106	38	8	0	7%	1.7	24.4%	9.4%	14.9%	0.0%	1.75	2.24	—
2019	21	ROK RAW	AZL Athletics Gold	15	1	26	106	38	8	0	7%	1.7	35.8%	7.5%	28.3%	0.0%	1.75	1.07	—
2021	23	A+ MLE	Lansing Lugnuts	7	4	21	92	26	7	2	57%	3.0	21.8%	8.8%	13.0%	2.8%	4.71	3.93	—
2021	23	A+ RAW	Lansing Lugnuts	7	4	21	92	26	7	2	57%	3.0	28.3%	7.6%	20.7%	2.2%	4.71	2.86	—
2023	25	MIX MLE	2 levels	20	17	63	243	64	15	5	85%	3.2	20.6%	7.0%	13.6%	2.2%	2.42	3.47	—
2023	25	MIX MLE	2 levels	20	17	63	243	64	15	5	85%	3.2	20.6%	7.0%	13.6%	2.2%	2.42	3.47	—
2023	25	MIX RAW	2 levels	20	17	63	243	64	15	5	85%	3.2	26.3%	6.2%	20.2%	2.1%	2.42	2.82	—
2024	26	MIX MLE	3 levels	29	22	115	490	128	30	21	76%	4.0	22.2%	5.7%	16.5%	4.8%	4.45	4.60	+0.4
2024	26	MIX MLE	3 levels	29	22	115	490	128	30	21	76%	4.0	22.2%	5.7%	16.5%	4.8%	4.45	4.60	+0.4
2024	26	MIX RAW	3 levels	29	22	115	490	128	30	21	76%	4.0	26.1%	6.1%	20.0%	4.3%	4.45	4.03	+1.2
2025	27	MIX MLE	3 levels	19	2	21	98	19	11	1	11%	1.1	14.3%	14.3%	0.0%	0.0%	4.79	3.70	+0.2
2025	27	MIX MLE	3 levels	19	2	21	98	19	11	1	11%	1.1	14.3%	14.3%	0.0%	0.0%	4.79	3.70	+0.2
2025	27	MIX RAW	3 levels	19	2	21	98	19	11	1	11%	1.1	19.4%	11.2%	8.2%	1.0%	4.79	3.49	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			41	10	71	311	55	19	6	24%	1.7	17.7%	6.1%	11.6%	1.9%	3.66	3.45	+0.9
▸ 2026 season
YTD	28	MLB MLE	Athletics	45	7	69	305	60	16	5	16%	1.5	17.9%	4.9%	13.0%	1.7%	4.43	3.16	+1.1
YTD	28	MLB MLE	Athletics	45	7	69	305	60	16	5	16%	1.5	17.9%	4.9%	13.0%	1.7%	4.43	3.16	+1.1
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	OAK	22	2	32	143	32	10	2	9%	1.4	22.4%	7.0%	15.4%	1.4%	5.12	2.86	—
2026	28	MLB RAW	OAK	23	5	37	162	28	6	3	22%	1.6	17.3%	3.7%	13.6%	1.9%	3.86	3.13	+0.6
SO FAR	28	MLB RAW	OAK	23	5	37	162	28	6	3	22%	1.6	17.3%	3.7%	13.6%	1.9%	3.86	3.13	+0.6
ROS	28	MLB MLE	OAK	4	0	5	19	4	2	1	0%	1.1	18.3%	8.0%	10.4%	3.1%	4.03	4.24	+0.0
ROS	28	MLB CTX	OAK	5	0	5	21	4	2	1	0%	1.0	18.3%	8.0%	10.4%	3.1%	4.03	4.24	+0.0
2026 TOT	28	MLB MLE	OAK	—	—	74	324	64	18	6	—	—	19.6%	5.4%	14.2%	1.7%	4.41	3.23	+1.3
FULL	28	MLB A+C	OAK	—	—	42	177	64	18	6	—	—	35.9%	9.9%	26.0%	3.2%	7.74	3.06	+0.7
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	OAK	49	0	52	217	39	17	7	0%	1.1	18.1%	8.0%	10.2%	3.0%	4.46	4.60	-0.0
2028	30	MLB MLE	OAK	46	0	48	204	36	17	7	0%	1.1	17.8%	8.3%	9.5%	3.2%	4.65	4.79	-0.1
2027	29	MLB CTX	OAK	47	0	49	207	37	16	6	0%	1.0	18.1%	8.0%	10.2%	3.0%	4.46	4.60	-0.0
2028	30	MLB CTX	OAK	44	0	46	194	35	16	6	0%	1.0	17.8%	8.3%	9.5%	3.2%	4.65	4.79	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		136	10	171	731	131	53	19	7%	1.3	17.9%	7.3%	10.6%	2.6%	4.17	3.94	+1.2
/ 200 IP	—	RAW		159	12	200	856	153	62	22	7%	1.3	17.9%	7.3%	10.6%	2.6%	4.17	3.94	+1.4
Career	—	MLE		135	53	315	1334	273	92	37	39%	2.3	20.5%	6.9%	13.6%	2.8%	3.86	3.76	+0.8
/ 200 IP	—	MLE		86	34	200	847	174	59	23	39%	2.3	20.5%	6.9%	13.6%	2.8%	3.86	3.76	+0.9

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Brady Basso (OGILVIE)	—	—	4.82	18.7%	9.3%	3.2%	—	4.69	18.0%	9.8%	100	-0.13	—	—	—
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	72
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	72
Josh Outman L 2016 · 4.53 FIP	31	SU	4.53	15.3%	3.7%	4.1%	.323	5.73	12.8%	-1.0%	86	+1.20	4.53	106	71
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	69
Brendan Nail L 2023 · 4.39 FIP	27	SU	4.39	18.9%	10.5%	2.8%	.262	—	—	—	—	—	3.45	165	68
Jeff Ibarra L 2016 · 3.75 FIP	28	SU	3.75	17.8%	9.7%	1.7%	.321	3.29	19.2%	13.8%	66	-0.46	2.85	101	68
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	68
Adam Liberatore L 2015 · 3.64 FIP	28	SU	3.64	21.1%	7.3%	2.5%	.267	3.17	23.3%	15.2%	73	-0.47	2.38	124	68
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	68
Ross Detwiler L 2015 · 5.50 FIP	29	SW	5.50	14.2%	12.2%	3.8%	.356	4.80	14.1%	5.9%	242	-0.70	3.49	512	67
Reid Love L 2018 · 3.98 FIP	26	SW	3.98	19.6%	7.2%	3.0%	.373	—	—	—	—	—	3.66	280	67
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	67
Triston Polley L 2023 · 4.15 FIP	26	SU	4.15	17.8%	8.9%	2.6%	.331	4.53	17.4%	-0.3%	22	+0.38	4.15	151	67
Carson Teel L 2022 · 4.26 FIP	26	SU	4.26	17.7%	7.1%	3.2%	.355	—	—	—	—	—	3.43	248	67
Jordan Harrison L 2019 · 3.80 FIP	28	SU	3.80	19.1%	9.7%	2.0%	.311	—	—	—	—	—	3.80	244	67
Jose Meraz L 2016 · 3.78 FIP	28	SU	3.78	14.2%	6.8%	1.8%	.286	4.03	13.0%	1.5%	52	+0.25	3.78	110	66
Chad Bell L 2017 · 4.57 FIP	28	SW	4.57	19.4%	8.9%	3.6%	.341	4.38	18.8%	11.4%	57	-0.19	3.39	393	66
Christian Friedrich L 2015 · 3.67 FIP	28	SU	3.67	16.7%	8.5%	1.6%	.355	3.96	17.6%	8.8%	129	+0.29	3.67	188	65
James Russell L 2015 · 3.71 FIP	29	SU	3.71	13.5%	4.7%	2.1%	.331	4.20	14.1%	8.7%	111	+0.49	2.66	233	65
Patrick Schuster L 2017 · 4.51 FIP	26	SU	4.51	19.8%	8.3%	3.7%	.381	—	—	—	—	—	3.13	160	64

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.8	51	18.2%	8.6%	1.21	4.57
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41