Garrett Baumann — OGILVIE

Garrett Baumann P Columbus Clingstones

Age 21 RHP 6'8" / 245 lbs AA Svc 0.0 · Ctrl thru 2032 peak 2.3 · 2030

2026 ROS PROJECTION119 act + 11 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 117108vR 100

ERA4.39

FIP4.39

K%17.9%

BB%6.5%

K-BB%11.3%

ROS IP11

Value2026 · WAR

Runs saved vs league avg · 131 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$33M ctrl surplus

Grades · Contract

Scouting Grades

OFP—45

STUF4550

CTRL4555

CMD4560

K†4055

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2028	Pre-Arb	$0.8M	+1.1	$8M	+$7M
2029	Pre-Arb	$0.8M	+1.4	$9M	+$8M
2030	Arb-1	$6M	+1.6	$9M	+$6M
2031	Arb-2	$10M	+1.7	$9M	+$4M
2032	Arb-3	$14M	+1.7	$9M	+$1M
Totals		$32M		$46M	+$27M

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)
2023	18	A MLE	Augusta GreenJackets	1	1	2	9	1	2	0	100%	2.0	11.1%	22.2%	-11.1%	0.0%	4.50	4.98	—
2023	18	A MLE	Augusta GreenJackets	1	1	2	9	1	2	0	100%	2.0	11.1%	22.2%	-11.1%	0.0%	4.50	4.98	—
2023	18	A RAW	Augusta GreenJackets	1	1	2	9	1	2	0	100%	2.0	11.1%	22.2%	-11.1%	0.0%	4.50	5.10	—
2024	19	MIX MLE	2 levels	20	19	99	407	89	23	3	95%	5.0	16.2%	7.1%	9.1%	1.0%	3.18	3.18	—
2024	19	MIX MLE	2 levels	20	19	99	407	89	23	3	95%	5.0	16.2%	7.1%	9.1%	1.0%	3.18	3.18	—
2024	19	MIX RAW	2 levels	20	19	99	407	89	23	3	95%	5.0	21.9%	5.7%	16.2%	0.7%	3.18	2.39	—
2025	20	A+ MLE	Rome Emperors	23	23	114	481	108	31	10	100%	4.9	17.3%	7.4%	9.9%	3.2%	3.40	4.32	—
2025	20	A+ MLE	Rome Emperors	23	23	114	481	108	31	10	100%	4.9	17.3%	7.4%	9.9%	3.2%	3.40	4.32	—
2025	20	A+ RAW	Rome Emperors	23	23	114	481	108	31	10	100%	4.9	22.5%	6.4%	16.0%	2.1%	3.40	3.16	—
▸ 2026 season
YTD	21	AAA MLE	Gwinnett Stripers	24	24	119	530	116	49	18	100%	5.0	17.9%	9.5%	8.3%	3.9%	5.43	4.92	—
YTD	21	AAA MLE	Gwinnett Stripers	24	24	119	530	116	49	18	100%	5.0	17.9%	9.5%	8.3%	3.9%	5.43	4.92	—
▸ 2026 season — so far · projected rest · full
2026	21	AA RAW	ATL	14	14	76	325	81	32	7	100%	5.4	24.9%	9.8%	15.1%	2.2%	4.26	3.42	—
2026	21	AAA RAW	ATL	10	10	43	205	35	17	11	100%	4.3	17.1%	8.3%	8.8%	5.4%	7.48	5.65	—
ROS	21	MLB MLE	ATL	2	2	11	48	8	3	1	100%	5.6	17.9%	6.5%	11.3%	2.9%	4.39	4.39	+0.1
2026 TOT	21	MLB MLE	ATL	—	—	131	578	124	52	19	—	—	21.6%	9.0%	12.5%	3.4%	5.34	4.88	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	22	MLB MLE	ATL	28	28	140	593	118	37	17	100%	5.0	19.8%	6.3%	13.6%	2.9%	4.25	4.16	+1.2
2028	23	MLB MLE	ATL	27	27	146	615	130	37	17	100%	5.4	21.1%	6.1%	15.0%	2.8%	4.11	4.02	+1.5
2029	24	MLB MLE	ATL	27	27	149	630	137	37	18	100%	5.5	21.8%	5.9%	15.9%	2.8%	4.00	3.93	+1.7
2030	25	MLB MLE	ATL	26	26	151	638	141	37	18	100%	5.8	22.2%	5.8%	16.3%	2.8%	3.93	3.88	+1.8
2031	26	MLB MLE	ATL	25	25	151	638	143	37	18	100%	6.0	22.4%	5.8%	16.6%	2.8%	3.89	3.86	+1.9
2032	27	MLB MLE	ATL	25	25	149	629	141	37	18	100%	6.0	22.4%	5.9%	16.5%	2.8%	3.89	3.89	+1.8
2033	28	MLB MLE	ATL	24	24	144	610	136	37	18	100%	6.0	22.2%	6.0%	16.2%	2.9%	3.94	3.98	+1.6
2034	29	MLB MLE	ATL	23	23	138	582	128	36	18	100%	6.0	22.0%	6.2%	15.8%	3.1%	4.04	4.11	+1.3
2035	30	MLB MLE	ATL	22	22	130	547	118	36	18	100%	5.9	21.6%	6.5%	15.1%	3.3%	4.19	4.29	+0.9
2036	31	MLB MLE	ATL	20	20	121	510	108	35	18	100%	6.0	21.2%	6.9%	14.4%	3.5%	4.37	4.49	+0.6
2037	32	MLB MLE	ATL	19	19	112	472	98	34	18	100%	5.9	20.8%	7.3%	13.5%	3.8%	4.58	4.71	+0.2
2038	33	MLB MLE	ATL	17	17	103	433	88	34	17	100%	6.0	20.3%	7.7%	12.6%	4.0%	4.81	4.96	-0.1
2039	34	MLB MLE	ATL	16	16	93	394	78	32	17	100%	5.8	19.7%	8.2%	11.5%	4.3%	5.07	5.24	-0.4
2027	22	MLB CTX	ATL	14	14	70	296	59	19	8	100%	5.0	19.8%	6.3%	13.6%	2.9%	4.25	4.16	+0.6
2028	23	MLB CTX	ATL	20	20	107	452	95	27	13	100%	5.3	21.1%	6.1%	15.0%	2.8%	4.11	4.02	+1.1
2029	24	MLB CTX	ATL	22	22	124	524	114	31	15	100%	5.6	21.8%	5.9%	15.9%	2.8%	4.00	3.93	+1.4
2030	25	MLB CTX	ATL	23	23	134	566	125	33	16	100%	5.8	22.2%	5.8%	16.3%	2.8%	3.93	3.88	+1.6
2031	26	MLB CTX	ATL	23	23	138	583	130	34	16	100%	6.0	22.4%	5.8%	16.6%	2.8%	3.89	3.86	+1.7
2032	27	MLB CTX	ATL	23	23	138	583	130	34	17	100%	6.0	22.4%	5.9%	16.5%	2.8%	3.89	3.89	+1.7
2033	28	MLB CTX	ATL	22	22	135	570	127	34	17	100%	6.1	22.2%	6.0%	16.2%	2.9%	3.94	3.98	+1.5
2034	29	MLB CTX	ATL	22	22	131	553	122	35	17	100%	6.0	22.0%	6.2%	15.8%	3.1%	4.04	4.11	+1.2
2035	30	MLB CTX	ATL	20	20	123	519	112	34	17	100%	6.2	21.6%	6.5%	15.1%	3.3%	4.19	4.29	+0.9
2036	31	MLB CTX	ATL	19	19	115	486	103	33	17	100%	6.1	21.2%	6.9%	14.4%	3.5%	4.37	4.49	+0.5
2037	32	MLB CTX	ATL	18	18	106	448	93	33	17	100%	5.9	20.8%	7.3%	13.5%	3.8%	4.58	4.71	+0.2
2038	33	MLB CTX	ATL	16	16	97	410	83	32	17	100%	6.1	20.3%	7.7%	12.6%	4.0%	4.81	4.96	-0.1
2039	34	MLB CTX	ATL	14	14	85	359	71	30	16	100%	6.1	19.7%	8.2%	11.5%	4.3%	5.07	5.24	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		257	257	1504	6350	1365	408	201	100%	5.9	21.5%	6.4%	15.1%	3.2%	4.19	3.84	+19.2
/ 200 IP	—	RAW		34	34	200	844	182	54	27	100%	5.9	21.5%	6.4%	15.1%	3.2%	4.19	3.84	+2.5
Career	—	MLE		68	67	334	1427	245	117	40	99%	4.9	17.1%	8.2%	9.0%	2.8%	4.07	4.22	+14.1
/ 200 IP	—	MLE		41	40	200	854	147	70	24	99%	4.9	17.1%	8.2%	9.0%	2.8%	4.07	4.22	+1.6

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
Garrett Baumann (OGILVIE)	—	—	4.39	17.9%	6.5%	2.9%	—	4.03	20.9%	14.8%	435	-0.36	—	—	—
Matt Esparza R 2016 · 3.45 FIP	21	SP	3.45	18.4%	7.4%	1.8%	.288	5.45	14.8%	6.1%	142	+2.00	3.45	281	90
Chase De Jong R 2015 · 4.43 FIP	21	SP	4.43	17.3%	6.6%	3.5%	.269	4.67	15.4%	7.7%	460	+0.24	4.23	833	90
Jeremy Rhoades R 2015 · 4.73 FIP	22	SP	4.73	17.3%	7.3%	3.9%	.307	4.56	14.7%	7.3%	278	-0.17	3.48	496	89
Chris McMahon R 2021 · 3.98 FIP	22	SP	3.98	18.9%	7.6%	2.8%	.330	5.27	16.7%	9.2%	85	+1.29	3.98	199	88
Ryan Lillie R 2018 · 4.13 FIP	22	SP	4.13	16.9%	5.1%	3.3%	.272	4.83	15.3%	6.7%	146	+0.70	3.00	310	88
Ian Mejia R 2023 · 4.62 FIP	23	SP	4.62	16.8%	6.4%	3.9%	.300	4.73	17.1%	6.8%	318	+0.11	3.94	439	87
Aaron Shortridge R 2019 · 4.06 FIP	22	SP	4.06	14.7%	5.3%	2.8%	.288	5.24	11.8%	-1.6%	55	+1.18	4.06	401	87
Jason Bahr R 2018 · 3.79 FIP	23	SP	3.79	20.3%	8.2%	2.5%	.297	4.07	20.3%	7.1%	155	+0.28	3.33	315	87
Alex Faedo R 2018 · 4.72 FIP	22	SP	4.72	17.4%	7.8%	3.8%	.252	3.73	22.9%	17.1%	115	-0.99	3.66	456	87
Chih-Wei Hu R 2015 · 3.78 FIP	21	SP	3.78	16.8%	7.3%	2.1%	.319	3.87	17.3%	11.1%	320	+0.09	3.41	497	86
Brady Feigl R 2019 · 3.93 FIP	23	SP	3.93	15.9%	7.0%	2.3%	.333	5.26	19.4%	9.8%	122	+1.33	3.93	257	86
Brian Shaffer R 2018 · 4.58 FIP	21	SP	4.58	15.3%	5.8%	3.7%	.262	3.54	16.9%	10.8%	126	-1.04	2.94	271	86
Will Warren R 2022 · 3.83 FIP	23	SP	3.83	18.4%	8.6%	2.2%	.299	4.06	23.5%	14.5%	424	+0.23	3.82	695	86
Kyle Luckham R 2023 · 4.40 FIP	23	SP	4.40	14.5%	6.5%	3.1%	.286	4.27	13.7%	6.7%	376	-0.13	3.78	501	86
Brandon Miller R 2017 · 4.94 FIP	22	SP	4.94	15.2%	6.9%	4.1%	.299	5.51	14.0%	7.4%	123	+0.57	4.94	245	86
Michael McGreevy R 2022 · 4.04 FIP	22	SP	4.04	15.7%	5.6%	2.8%	.314	3.83	17.1%	11.9%	497	-0.21	3.51	795	86
Austin Peterson R 2023 · 4.31 FIP	23	SP	4.31	15.0%	6.3%	3.1%	.335	3.52	19.5%	13.8%	405	-0.79	2.69	522	86
Jackson Tetreault R 2018 · 4.02 FIP	22	SP	4.02	18.1%	8.5%	2.5%	.310	4.65	14.1%	4.0%	193	+0.63	4.02	404	85
Tyler Mahle R 2016 · 4.45 FIP	21	SP	4.45	18.0%	6.7%	3.7%	.280	3.89	20.9%	13.8%	436	-0.56	2.94	1,350	85
Michael Fulmer R 2015 · 3.21 FIP	22	SP	3.21	19.7%	7.0%	1.6%	.290	3.83	19.2%	12.5%	471	+0.62	2.74	917	85

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	9.3	133	21.2%	6.4%	1.21	4.20
Jon Gray ('24)	6.1	122	23.4%	7.8%	1.15	4.45
Joe Musgrove ('24)	5.3	117	23.9%	6.0%	1.13	3.73
Alex Wood ('24)	5.0	111	21.6%	7.0%	0.96	3.98
Zach Davies ('23)	5.2	116	17.5%	8.1%	1.16	4.36
Marco Gonzales ('24)	4.4	111	17.5%	6.1%	1.26	4.13
Kenta Maeda ('24)	4.9	122	25.9%	6.9%	1.30	4.17