Mike Baumann — OGILVIE

Mike Baumann P Syracuse Mets

Age 30 RHP 6'4" / 240 lbs AAA

2026 ROS PROJECTION11 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 122114vR 106

ERA4.68

FIP4.69

K%22.9%

BB%10.9%

K-BB%12.0%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 17 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5555

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p4424.5%

p4922.0%

xwOBA vs

p290.337

SL (24%)

CH (2%)

CU (33%)

FB-8.0 (41%)

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)
2017	21	ROK MLE	GCL Orioles	1	1	1	5	2	0	0	100%	1.0	40.0%	0.0%	40.0%	0.0%	0.00	-0.28	—
2017	21	ROK RAW	GCL Orioles	1	1	1	5	2	0	0	100%	1.0	40.0%	0.0%	40.0%	0.0%	0.00	-0.90	—
2018	22	MIX MLE	2 levels	24	24	131	534	106	53	9	100%	5.4	15.0%	11.5%	3.5%	1.6%	3.17	4.14	—
2018	22	MIX RAW	2 levels	24	24	131	534	106	53	9	100%	5.4	19.9%	9.9%	9.9%	1.7%	3.17	3.59	—
2019	23	MIX MLE	2 levels	24	22	124	492	142	45	4	92%	5.2	22.8%	10.3%	12.4%	0.9%	2.98	3.00	—
2019	23	MIX RAW	2 levels	24	22	124	492	142	45	4	92%	5.2	28.9%	9.1%	19.7%	0.8%	2.98	2.32	—
2021	25	MIX MLE	4 levels	22	18	81	337	76	40	8	82%	3.7	18.6%	12.3%	6.3%	2.4%	4.24	4.38	+0.5
2021	25	MIX RAW	4 levels	22	18	81	337	76	40	8	82%	3.7	22.6%	11.9%	10.7%	2.4%	4.24	3.99	+0.9
2022	26	MIX MLE	2 levels	33	13	94	409	104	34	9	39%	2.9	23.1%	8.6%	14.4%	2.4%	4.39	3.56	+1.1
2022	26	MIX RAW	2 levels	33	13	94	409	104	34	9	39%	2.9	25.4%	8.3%	17.1%	2.2%	4.39	3.22	+1.5
2023	27	MIX MLE	2 levels	66	0	71	296	70	36	7	0%	1.1	22.3%	11.4%	11.0%	2.6%	3.44	4.07	+0.4
2023	27	MIX MLE	2 levels	66	0	71	296	70	36	7	0%	1.1	22.3%	11.4%	11.0%	2.6%	3.44	4.07	+0.4
2023	27	MIX RAW	2 levels	66	0	71	296	70	36	7	0%	1.1	23.6%	12.2%	11.5%	2.4%	3.44	3.93	+0.5
2024	28	MLB MLE	Miami Marlins	57	0	58	264	58	27	9	0%	1.0	22.0%	10.2%	11.7%	3.6%	5.55	4.51	+0.0
2024	28	MLB MLE	Miami Marlins	57	0	58	264	58	27	9	0%	1.0	22.0%	10.2%	11.7%	3.6%	5.55	4.51	+0.0
2024	28	MLB RAW	Miami Marlins	57	0	58	264	58	27	9	0%	1.0	22.0%	10.2%	11.7%	3.4%	5.55	4.51	+0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			134	4	167	736	147	73	21	3%	1.2	20.0%	9.9%	10.1%	2.9%	4.95	4.28	+0.5
▸ 2026 season
YTD	30	AAA MLE	Syracuse Mets	10	0	11	52	9	4	1	0%	1.1	14.4%	6.9%	7.4%	2.1%	5.73	3.92	—
YTD	30	AAA MLE	Syracuse Mets	10	0	11	52	9	4	1	0%	1.1	14.4%	6.9%	7.4%	2.1%	5.73	3.92	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	NYM	10	0	11	52	9	4	1	0%	1.1	17.3%	7.7%	9.6%	1.9%	5.73	3.67	—
ROS	30	MLB MLE	NYM	6	0	6	26	6	3	1	0%	1.0	22.9%	10.9%	12.0%	3.2%	4.68	4.69	-0.0
2026 TOT	30	MLB MLE	NYM	—	—	17	78	15	7	2	—	—	19.1%	8.8%	10.4%	2.3%	5.35	4.20	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	NYM	60	0	63	265	59	30	9	0%	1.0	22.1%	11.3%	10.9%	3.4%	4.83	4.92	-0.3
2028	32	MLB MLE	NYM	55	0	58	245	52	29	9	0%	1.1	21.3%	11.7%	9.7%	3.7%	5.04	5.18	-0.4
2027	31	MLB CTX	NYM	22	0	23	97	21	11	3	0%	1.0	22.1%	11.3%	10.9%	3.4%	4.83	4.92	-0.1
2028	32	MLB CTX	NYM	30	0	32	135	29	16	5	0%	1.1	21.3%	11.7%	9.7%	3.7%	5.04	5.18	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		187	4	223	971	198	100	29	2%	1.2	20.4%	10.3%	10.1%	3.0%	4.95	4.34	+0.5
/ 200 IP	—	RAW		168	4	200	871	178	90	26	2%	1.2	20.4%	10.3%	10.1%	3.0%	4.95	4.34	+0.5
Career	—	MLE		237	78	571	2389	483	253	49	33%	2.4	20.2%	10.6%	9.6%	2.0%	3.80	3.86	-0.2
/ 200 IP	—	MLE		83	27	200	837	169	89	17	33%	2.4	20.2%	10.6%	9.6%	2.0%	3.80	3.86	-0.1

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
Mike Baumann (OGILVIE)	—	—	4.69	22.9%	10.9%	3.2%	—	5.04	21.7%	10.3%	121	+0.35	—	—	—
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	76
Esmil Rogers R 2015 · 3.51 FIP	29	SW	3.51	18.5%	8.9%	1.6%	.348	2.86	21.7%	17.9%	40	-0.65	2.86	199	72
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	68
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	68
Tim Dillard R 2015 · 3.58 FIP	32	SW	3.58	15.9%	7.7%	1.5%	.330	3.85	16.7%	8.1%	144	+0.27	3.13	352	68
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	68
Chris Leroux R 2015 · 4.20 FIP	31	SU	4.20	15.2%	8.6%	2.4%	.279	4.08	13.5%	5.5%	140	-0.12	4.08	219	67
Bryan Mitchell R 2021 · 4.29 FIP	30	SU	4.29	20.6%	12.0%	2.5%	.305	5.07	14.4%	3.9%	39	+0.78	2.72	481	67
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	67
Hector Velázquez R 2019 · 4.82 FIP	30	SW	4.82	19.6%	12.3%	3.3%	.292	3.81	19.2%	10.9%	25	-1.01	2.75	536	66
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	66
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	65
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	64
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	64
Blake Wood R 2016 · 3.76 FIP	30	SU	3.76	24.5%	10.6%	2.5%	.307	3.44	25.3%	16.0%	74	-0.32	2.92	210	64
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	64
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	64
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	64
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	64
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	63

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	0.9	63	22.1%	11.3%	1.33	4.84
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58