Garrett Baumann

P Columbus Clingstones

Age 22 RHP 6'8" / 245 lbs AA Svc 0.0 · Ctrl thru 2032 peak 0.9 · 2029

Overview

AAPROSPECTPre-ArbFA 2033

OGV OFP40OGV rank#137ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	MIX2 levels	20	19	99	3.18	2.39	21.9%	5.7%	—	K 16.2% · BB 7.1% · FIP 3.18
2025	20	A+ATL	23	23	114	3.40	3.16	22.5%	6.4%	—	K 17.3% · BB 7.4% · FIP 4.32
2026	21	MIX2 levels	24	24	119	5.43	4.35	21.9%	9.2%	—	K 18.1% · BB 9.5% · FIP 4.91
2027PROJ	22	MLBATL	1	1	3	4.86	4.86	18.0%	7.9%	0.0
2028PROJ50% MLB	23	MLBATL	13	13	70	4.69	4.61	19.8%	7.4%	0.6
2029PROJ70% MLB	24	MLBATL	18	18	98	4.54	4.46	20.8%	7.2%	1.1

Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.0First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$3M2031Arb-2$5M2032Arb-3$6M

Career WAR0.0 WAR median (P10 -0.8 / P90 17, comp-based) · star 3% · didn't stick 76%

CompsJeremy Rhoades (age 22) · Kade Morris (age 22) · Alex Faedo (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.86

FIP4.86

K%18.0%

BB%7.9%

K-BB%10.1%

Proj IP139

Value2027 · WAR

Runs saved vs league avg · 139 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$25M ctrl surplus

Contract

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

Status Pre-Arb

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2029	Pre-Arb	$0.8M	+1.1	$8M	+$7M
2030	Arb-1	$3M	+1.1	$7M	+$5M
2031	Arb-2	$5M	+1.2	$7M	+$4M
2032	Arb-3	$6M	+1.1	$6M	+$2M
Totals		$15M		$30M	+$20M

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)
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	21	MIX MLE	2 levels	24	24	119	530	116	49	18	100%	5.0	18.1%	9.5%	8.5%	3.9%	5.43	4.91	—
2026	21	MIX MLE	2 levels	24	24	119	530	116	49	18	100%	5.0	18.1%	9.5%	8.5%	3.9%	5.43	4.91	—
2026	21	MIX RAW	2 levels	24	24	119	530	116	49	18	100%	5.0	21.9%	9.2%	12.6%	3.4%	5.43	4.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	ATL	1	1	3	13	2	1	0	100%	3.0	18.0%	7.9%	10.1%	3.5%	4.86	4.86	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	ATL	26	26	139	588	116	44	20	100%	5.4	19.8%	7.4%	12.3%	3.4%	4.69	4.61	+1.3
2029	24	MLB MLE	ATL	25	25	139	588	122	42	20	100%	5.6	20.8%	7.2%	13.6%	3.3%	4.54	4.46	+1.5
2030	25	MLB MLE	ATL	18	18	108	455	97	32	15	100%	6.0	21.4%	7.1%	14.3%	3.3%	4.43	4.37	+1.3
2031	26	MLB MLE	ATL	18	18	107	453	98	32	15	100%	6.0	21.7%	7.1%	14.6%	3.3%	4.38	4.34	+1.3
2032	27	MLB MLE	ATL	17	17	105	442	96	32	15	100%	6.2	21.7%	7.1%	14.5%	3.3%	4.38	4.38	+1.3
2033	28	MLB MLE	ATL	17	17	100	422	91	31	14	100%	5.9	21.6%	7.3%	14.3%	3.4%	4.43	4.47	+1.1
2034	29	MLB MLE	ATL	16	16	93	393	84	29	14	100%	5.8	21.3%	7.5%	13.8%	3.6%	4.53	4.60	+0.9
2035	30	MLB MLE	ATL	14	14	84	356	75	28	13	100%	6.0	21.0%	7.8%	13.2%	3.8%	4.68	4.78	+0.6
2036	31	MLB MLE	ATL	13	13	75	318	65	26	13	100%	5.8	20.6%	8.2%	12.4%	4.0%	4.86	4.98	+0.4
2037	32	MLB MLE	ATL	11	11	67	281	57	24	12	100%	6.1	20.1%	8.6%	11.6%	4.3%	5.07	5.20	+0.2
2028	23	MLB CTX	ATL	13	13	70	296	58	22	10	100%	5.4	19.8%	7.4%	12.3%	3.4%	4.69	4.61	+0.6
2029	24	MLB CTX	ATL	18	18	98	414	86	30	14	100%	5.4	20.8%	7.2%	13.6%	3.3%	4.54	4.46	+1.1
2030	25	MLB CTX	ATL	15	15	88	372	80	26	12	100%	5.9	21.4%	7.1%	14.3%	3.3%	4.43	4.37	+1.1
2031	26	MLB CTX	ATL	16	16	94	397	86	28	13	100%	5.9	21.7%	7.1%	14.6%	3.3%	4.38	4.34	+1.2
2032	27	MLB CTX	ATL	16	16	95	401	87	29	13	100%	5.9	21.7%	7.1%	14.5%	3.3%	4.38	4.38	+1.1
2033	28	MLB CTX	ATL	15	15	92	388	84	28	13	100%	6.1	21.6%	7.3%	14.3%	3.4%	4.43	4.47	+1.0
2034	29	MLB CTX	ATL	14	14	87	367	78	28	13	100%	6.2	21.3%	7.5%	13.8%	3.6%	4.53	4.60	+0.8
2035	30	MLB CTX	ATL	13	13	79	334	70	26	13	100%	6.1	21.0%	7.8%	13.2%	3.8%	4.68	4.78	+0.6
2036	31	MLB CTX	ATL	12	12	72	304	63	25	12	100%	6.0	20.6%	8.2%	12.4%	4.0%	4.86	4.98	+0.3
2037	32	MLB CTX	ATL	10	10	63	266	53	23	11	100%	6.3	20.1%	8.6%	11.6%	4.3%	5.07	5.20	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		142	142	837	3532	744	264	125	100%	5.9	21.1%	7.5%	13.6%	3.5%	4.57	4.21	+11.8
/ 200 IP	—	RAW		34	34	200	844	178	63	30	100%	5.9	21.1%	7.5%	13.6%	3.5%	4.57	4.21	+2.8
Career	—	MLE		68	67	334	1427	246	117	40	99%	4.9	17.2%	8.2%	9.0%	2.8%	4.07	4.22	+9.7
/ 200 IP	—	MLE		41	40	200	854	147	70	24	99%	4.9	17.2%	8.2%	9.0%	2.8%	4.07	4.22	+1.9

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 AAColumbus Clingstones · 76 IPFIP 3.42 → 4.19 (+0.76)K% 24.9% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.92%	—	×0.810	20.19%
BB% (unintentional) /BF	9.85%	—	×1.100	10.83%
HR / BF /BF	2.15%	÷1.000	×1.200	2.58%

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 100).

Result: FIP 3.42 → 4.19, 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).

2026 AAAGwinnett Stripers · 43 IPFIP 5.65 → 6.05 (+0.39)K% 17.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.07%	—	×0.860	14.68%
BB% (unintentional) /BF	8.29%	—	×0.900	7.46%
HR / BF /BF	5.37%	÷1.000	×1.100	5.90%

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 5.65 → 6.05, 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 A+Rome Emperors · 114 IPFIP 3.16 → 4.32 (+1.16)K% 22.5% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.45%	—	×0.770	17.29%
BB% (unintentional) /BF	6.44%	—	×1.150	7.41%
HR / BF /BF	2.08%	÷0.819	×1.250	3.17%

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 64).

Result: FIP 3.16 → 4.32, 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 AAugusta GreenJackets · 92 IPFIP 2.44 → 3.18 (+0.74)K% 21.9% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.88%	—	×0.740	16.19%
BB% (unintentional) /BF	5.99%	—	×1.180	7.07%
HR / BF /BF	0.78%	÷1.010	×1.300	1.01%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 102).

Result: FIP 2.44 → 3.18, 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 A+Rome Emperors · 7 IPFIP 1.26 → 1.69 (+0.42)K% 21.7% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.770	16.74%
BB% (unintentional) /BF	0.00%	—	×1.150	0.00%
HR / BF /BF	0.00%	÷0.831	×1.250	0.00%

Result: FIP 1.26 → 1.69, 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
Garrett Baumann (OGILVIE)	—	—	—	—	—	3.5%	—	4.49	20.6%	13.4%	386	-0.37	—	—	—
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	93
Kade Morris R 2024 · 4.72 FIP	22	SP	4.72	16.1%	8.4%	3.5%	.282	4.36	15.6%	8.3%	264	-0.36	3.89	395	90
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	3.50	459	90
Jonathan Cannon R 2023 · 4.74 FIP	23	SP	4.74	16.1%	8.5%	3.5%	.311	4.71	18.0%	10.2%	420	-0.03	4.32	541	90
Jack Mahoney R 2024 · 3.91 FIP	22	SP	3.91	17.3%	7.1%	2.5%	.307	4.16	15.0%	4.8%	206	+0.25	3.80	326	90
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	89
Max Rajcic R 2024 · 4.11 FIP	22	SP	4.11	18.7%	8.5%	2.7%	.307	4.65	17.6%	8.2%	159	+0.54	3.15	413	89
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	88
Brett Kennedy R 2017 · 4.35 FIP	22	SP	4.35	18.5%	7.1%	3.5%	.292	3.85	18.0%	10.8%	116	-0.50	3.85	654	88
Grant Rogers R 2024 · 4.08 FIP	23	SP	4.08	17.4%	7.2%	2.8%	.297	4.45	12.8%	6.3%	280	+0.37	3.90	392	88
Will Warren R 2022 · 3.83 FIP	23	SP	3.83	18.4%	8.6%	2.2%	.299	4.03	23.9%	14.9%	424	+0.20	3.72	709	88
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	88
Trystan Vrieling R 2024 · 4.02 FIP	23	SP	4.02	17.3%	8.2%	2.5%	.297	4.84	17.9%	5.3%	198	+0.82	4.02	345	88
Kyle Luckham R 2023 · 4.40 FIP	23	SP	4.40	14.5%	6.5%	3.1%	.286	4.26	13.8%	6.8%	376	-0.14	3.78	501	88
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
Tommy Wilson R 2019 · 4.35 FIP	23	SP	4.35	16.3%	7.7%	3.0%	.261	3.08	22.8%	15.9%	15	-1.27	3.08	129	87
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	87
Garrett Schilling R 2018 · 4.47 FIP	22	SP	4.47	16.0%	8.5%	3.0%	.327	5.05	16.6%	7.4%	180	+0.58	4.47	352	87
Micah Owings R 2007 · 4.35 FIP	24	SP	4.35	16.3%	7.4%	3.1%	.264	4.75	16.4%	5.4%	258	+0.40	4.23	473	87
Austin Peterson R 2023 · 4.31 FIP	23	SP	4.31	15.0%	6.3%	3.1%	.335	3.49	19.8%	14.1%	408	-0.82	2.69	525	86

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	5.8	105	20.6%	7.5%	1.36	4.61
Mark Leiter ('90-'01, 5 WAR*)	5.9	118	20.7%*	7.8%*	1.36*	4.61*
Scott Bankhead ('86-'95, 10 WAR*)	4.5	100	21.2%*	7.3%*	1.36*	4.16*
Derek Holland ('21)	7.3	113	19.7%	8.4%	1.35	4.62
Chase Anderson ('24)	5.5	101	19.7%	8.1%	1.48	4.41
Larry McWilliams ('78-'90, 10 WAR*)	7.8	130	19.0%*	8.1%*	1.24*	4.56*
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38