Brady Basso

P Athletics

Age 29 LHP 6'2" / 213 lbs MLB peak 0.2 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX3 levels	29	22	115	4.45	4.03	26.1%	6.1%	1.9	K 22.7% · BB 5.7% · FIP 4.56
2025	27	MIX3 levels	19	2	21	4.79	3.49	19.4%	11.2%	0.3	K 14.3% · BB 14.3% · FIP 3.70
2026	28	MIX2 levels	48	9	75	5.67	3.18	18.4%	5.2%	1.2	K 17.1% · BB 5.0% · FIP 3.30
2027PROJ	29	MLBOAK	35	0	37	4.44	4.39	16.5%	7.1%	0.1
2028PROJ87% MLB	30	MLBOAK	25	0	26	4.53	4.59	16.5%	7.6%	-0.0
2029PROJ90% MLB	31	MLBOAK	17	0	18	4.68	4.80	16.2%	8.1%	-0.1

Last 3 seasons WAR 3.4 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs55

FB Velo22

K%10

Form8.44 ERA (proj 4.44) · K 12.5% (proj 16.5%) · BB 7.5% (proj 7.1%) ▼ last 60d · 16 IP through Oct 27

CompsTommy Phelps (age 29) · Kyle Hunter (age 28) · John Rheinecker (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 95103vR 111

ERA4.44

FIP4.39

K%16.5%

BB%7.1%

K-BB%9.4%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL4545

CMD3535

K†4040

Statcast Percentiles

FB Velo

p2292.5

Whiff%

p1420.2%

p1015.5%

xwOBA vs

p550.307

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 the standard WAR scale.

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 + 2027 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 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	22.7%	5.7%	16.9%	4.8%	4.45	4.56	+1.1
2024	26	MIX MLE	3 levels	29	22	115	490	128	30	21	76%	4.0	22.7%	5.7%	16.9%	4.8%	4.45	4.56	+1.1
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	+1.9
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
2026	28	MIX MLE	2 levels	48	9	75	343	63	18	6	19%	1.6	17.1%	5.0%	12.1%	1.8%	5.67	3.30	+1.1
2026	28	MIX MLE	2 levels	48	9	75	343	63	18	6	19%	1.6	17.1%	5.0%	12.1%	1.8%	5.67	3.30	+1.1
2026	28	MIX RAW	2 levels	48	9	75	343	63	18	6	19%	1.6	18.4%	5.2%	13.1%	1.7%	5.67	3.18	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			44	12	77	349	58	21	7	27%	1.8	16.6%	6.0%	10.6%	2.0%	4.91	3.59	+0.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	OAK	35	0	37	156	26	11	4	0%	1.1	16.5%	7.1%	9.4%	2.6%	4.44	4.39	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	OAK	28	0	30	126	21	10	4	0%	1.1	16.5%	7.6%	8.8%	2.8%	4.53	4.59	-0.0
2029	31	MLB MLE	OAK	19	0	20	86	14	7	3	0%	1.1	16.2%	8.1%	8.2%	3.0%	4.68	4.80	-0.1
2028	30	MLB CTX	OAK	25	0	26	110	18	8	3	0%	1.0	16.5%	7.6%	8.8%	2.8%	4.53	4.59	-0.0
2029	31	MLB CTX	OAK	17	0	18	76	12	6	2	0%	1.1	16.2%	8.1%	8.2%	3.0%	4.68	4.80	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		86	12	121	536	89	36	12	14%	1.4	16.5%	6.6%	9.9%	2.3%	4.79	3.82	+1.1
/ 200 IP	—	RAW		142	20	200	884	147	59	20	14%	1.4	16.5%	6.6%	9.9%	2.3%	4.79	3.82	+1.7
Career	—	MLE		138	55	321	1372	280	94	38	40%	2.3	20.4%	6.9%	13.5%	2.8%	4.15	3.77	+0.8
/ 200 IP	—	MLE		86	34	200	856	174	59	24	40%	2.3	20.4%	6.9%	13.5%	2.8%	4.15	3.77	+1.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAALas Vegas Aviators · 32 IPFIP 2.86 → 3.12 (+0.25)K% 22.4% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.38%	—	×0.860	19.24%
BB% (unintentional) /BF	6.99%	—	×0.900	6.29%
HR / BF /BF	1.40%	÷1.000	×1.100	1.54%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.86 → 3.12, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAALas Vegas Aviators · 8 IPFIP 3.54 → 3.62 (+0.08)K% 23.7% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.68%	—	×0.860	20.37%
BB% (unintentional) /BF	7.89%	—	×0.900	7.11%
HR / BF /BF	2.63%	÷1.183	×1.100	2.45%

Result: FIP 3.54 → 3.62, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAALas Vegas Aviators · 68 IPFIP 4.65 → 5.14 (+0.49)K% 26.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.37%	—	×0.860	22.68%
BB% (unintentional) /BF	7.53%	—	×0.900	6.78%
HR / BF /BF	5.14%	÷1.001	×1.100	5.64%

Result: FIP 4.65 → 5.14, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAMidland RockHounds · 25 IPFIP 2.46 → 3.41 (+0.96)K% 30.5% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.48%	—	×0.810	24.69%
BB% (unintentional) /BF	2.86%	—	×1.100	3.14%
HR / BF /BF	2.86%	÷0.940	×1.200	3.65%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 88).

Result: FIP 2.46 → 3.41, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 A+Lansing Lugnuts · 44 IPFIP 2.98 → 3.65 (+0.67)K% 26.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.01%	—	×0.770	20.03%
BB% (unintentional) /BF	6.36%	—	×1.150	7.31%
HR / BF /BF	2.31%	÷1.209	×1.250	2.39%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 142).

Result: FIP 2.98 → 3.65, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAMidland RockHounds · 19 IPFIP 2.32 → 3.02 (+0.71)K% 27.1% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.14%	—	×0.810	21.99%
BB% (unintentional) /BF	5.71%	—	×1.100	6.29%
HR / BF /BF	1.43%	÷0.957	×1.200	1.79%

Result: FIP 2.32 → 3.02, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Lansing Lugnuts · 21 IPFIP 2.87 → 3.93 (+1.06)K% 28.3% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.26%	—	×0.770	21.76%
BB% (unintentional) /BF	7.61%	—	×1.150	8.75%
HR / BF /BF	2.17%	÷0.959	×1.250	2.83%

Result: FIP 2.87 → 3.93, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 ROKAZL Athletics Gold · 26 IPFIP 1.03 → 2.24 (+1.21)K% 35.8% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.85%	—	×0.680	24.38%
BB% (unintentional) /BF	7.55%	—	×1.250	9.43%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 1.03 → 2.24, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	4.39	16.5%	7.1%	2.6%	—	4.68	16.4%	8.6%	50	+0.29	—	—	—
Tommy Phelps L 2003 · 3.39 FIP	29	SW	3.39	15.6%	8.0%	1.1%	.322	4.47	16.9%	8.9%	57	+1.08	3.39	120	81
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	75
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	74
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	73
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	72
Chad Zerbe L 2001 · 3.75 FIP	29	SU	3.75	13.6%	6.2%	1.8%	.299	3.88	9.4%	2.6%	106	+0.13	3.75	145	71
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	71
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	71
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	70
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	69
Hector Hernandez L 2019 · 3.39 FIP	28	SW	3.39	20.2%	9.0%	1.5%	.290	—	—	—	—	—	2.17	121	69
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	68
Everett Teaford L 2012 · 5.47 FIP	28	SW	5.47	13.3%	8.0%	4.5%	.291	4.42	13.9%	6.3%	103	-1.05	4.42	208	68
Chad Bell L 2018 · 4.38 FIP	29	SU	4.38	18.8%	7.4%	3.5%	.341	—	—	—	—	—	3.39	393	67
Jake McSteen L 2024 · 4.64 FIP	28	SU	4.64	19.7%	6.4%	4.4%	.348	2.22	18.9%	13.2%	18	-2.42	2.22	286	66
Edgar Olmos L 2017 · 3.64 FIP	27	SW	3.64	18.9%	9.7%	1.7%	.252	—	—	—	—	—	3.19	203	66
Kraig Sitton L 2017 · 3.87 FIP	29	SU	3.87	14.7%	6.1%	2.2%	.312	—	—	—	—	—	2.81	166	66
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	65
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	65
Arturo Barradas L 2017 · 3.42 FIP	29	SU	3.42	18.1%	7.0%	1.8%	.288	3.24	16.1%	9.5%	34	-0.18	3.24	163	65

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	34	16.5%	7.2%	0.93	4.69
Joe Grzenda ('61-'72, 0 WAR*)	1.5	51	17.2%*	8.6%*	0.76*	4.83*
Bert Roberge ('79-'86, 1 WAR*)	1.1	37	18.1%*	8.7%*	0.68*	4.73*
Matt Wise ('08)	1.6	53	18.1%	7.9%	1.14	4.23
Dave Leiper ('84-'96, 0 WAR*)	1.4	46	15.6%*	9.1%*	0.94*	4.28*
Ramon Troncoso ('13)	1.1	45	16.0%	8.5%	0.83	4.00
Ramon Pena ('11)	1.9	63	16.0%	8.0%	0.90	4.43