Mike Baumann

P Syracuse Mets

Age 31 RHP 6'4" / 240 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	27	MIX2 levels	66	71	3.44	3.93	23.6%	12.2%	0.5	K 22.3% · BB 11.4% · FIP 4.07
2024	28	MLBMIA	57	58	5.55	4.51	22.0%	10.2%	0.0
2026	30	AAANYM	10	11	5.73	3.74	17.3%	7.7%	—	K 14.9% · BB 6.9% · FIP 3.88
2027PROJ	31	MLBNYM	6	6	4.59	4.48	22.6%	9.6%	0.0
2028PROJ37% MLB	32	MLBNYM	15	16	4.68	4.73	21.8%	10.0%	-0.0
2029PROJ55% MLB	33	MLBNYM	19	20	4.88	5.01	20.9%	10.4%	-0.1

Last 3 seasons WAR 0.5 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo78

K%49

xwOBA vs29

CompsRobert Stock (age 31) · Yoanner Negrin (age 31) · Angel Sánchez (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 103

ERA4.59

FIP4.48

K%22.6%

BB%9.6%

K-BB%13.0%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5555

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p4424.5%

p4922.0%

xwOBA vs

p290.337

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)
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	+1.0
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	+1.3
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 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
2026	30	AAA MLE	Syracuse Mets	10	0	11	52	9	4	1	0%	1.1	14.9%	6.9%	8.0%	2.1%	5.73	3.88	—
2026	30	AAA MLE	Syracuse Mets	10	0	11	52	9	4	1	0%	1.1	14.9%	6.9%	8.0%	2.1%	5.73	3.88	—
2026	30	AAA RAW	Syracuse Mets	10	0	11	52	9	4	1	0%	1.1	17.3%	7.7%	9.6%	1.9%	5.73	3.74	—
▸ 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
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	NYM	6	0	6	25	6	2	1	0%	1.0	22.6%	9.6%	13.0%	3.1%	4.59	4.48	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	NYM	42	0	44	187	41	19	6	0%	1.1	21.8%	10.0%	11.8%	3.3%	4.68	4.73	-0.1
2029	33	MLB MLE	NYM	34	0	36	150	31	16	5	0%	1.0	20.9%	10.4%	10.5%	3.6%	4.88	5.01	-0.2
2030	34	MLB MLE	NYM	28	0	29	122	25	13	5	0%	1.0	20.0%	10.9%	9.1%	3.9%	5.14	5.32	-0.2
2028	32	MLB CTX	NYM	15	0	16	68	15	7	2	0%	1.1	21.8%	10.0%	11.8%	3.3%	4.68	4.73	-0.0
2029	33	MLB CTX	NYM	19	0	20	84	18	9	3	0%	1.1	20.9%	10.4%	10.5%	3.6%	4.88	5.01	-0.1
2030	34	MLB CTX	NYM	14	0	15	63	13	7	2	0%	1.1	20.0%	10.9%	9.1%	3.9%	5.14	5.32	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		182	4	218	950	192	95	29	2%	1.2	20.2%	10.0%	10.2%	3.0%	4.93	4.33	+0.6
/ 200 IP	—	RAW		167	4	200	871	176	87	27	2%	1.2	20.2%	10.0%	10.2%	3.0%	4.93	4.33	+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	-0.0
/ 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	-0.0

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 AAASyracuse Mets · 11 IPFIP 3.67 → 3.88 (+0.21)K% 17.3% → 14.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.31%	—	×0.860	14.88%
BB% (unintentional) /BF	7.69%	—	×0.900	6.92%
HR / BF /BF	1.92%	÷1.000	×1.100	2.12%

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 3.67 → 3.88, 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 AAANorfolk Tides · 6 IPFIP 2.55 → 2.74 (+0.19)K% 39.1% → 33.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.13%	—	×0.860	33.65%
BB% (unintentional) /BF	21.74%	—	×0.900	19.57%
HR / BF /BF	0.00%	÷0.995	×1.100	0.00%

Result: FIP 2.55 → 2.74, 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).

2022 AAANorfolk Tides · 60 IPFIP 2.95 → 3.50 (+0.55)K% 31.2% → 27.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.15%	—	×0.880	27.42%
BB% (unintentional) /BF	9.62%	—	×1.050	10.10%
HR / BF /BF	2.31%	÷0.970	×1.100	2.62%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 94).

Result: FIP 2.95 → 3.50, 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 AABowie Baysox · 39 IPFIP 4.51 → 4.94 (+0.43)K% 24.1% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.07%	—	×0.810	19.50%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	3.70%	÷1.258	×1.200	3.53%

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 152).

Result: FIP 4.51 → 4.94, 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 AAANorfolk Tides · 27 IPFIP 2.59 → 2.91 (+0.32)K% 24.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.07%	—	×0.880	21.19%
BB% (unintentional) /BF	12.04%	—	×1.050	12.64%
HR / BF /BF	0.00%	÷1.009	×1.100	0.00%

Result: FIP 2.59 → 2.91, 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 AABowie Baysox · 70 IPFIP 2.45 → 3.03 (+0.58)K% 24.3% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.25%	—	×0.810	19.65%
BB% (unintentional) /BF	7.84%	—	×1.100	8.62%
HR / BF /BF	0.75%	÷0.987	×1.200	0.91%

Result: FIP 2.45 → 3.03, 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 A+Frederick Keys · 54 IPFIP 2.04 → 2.97 (+0.92)K% 34.4% → 26.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.38%	—	×0.770	26.47%
BB% (unintentional) /BF	10.71%	—	×1.150	12.32%
HR / BF /BF	0.89%	÷1.135	×1.250	0.98%

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 127).

Result: FIP 2.04 → 2.97, 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).

2018 A+Frederick Keys · 93 IPFIP 4.39 → 4.78 (+0.39)K% 15.1% → 11.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.13%	—	×0.770	11.65%
BB% (unintentional) /BF	10.26%	—	×1.150	11.79%
HR / BF /BF	2.31%	÷1.357	×1.250	2.13%

Result: FIP 4.39 → 4.78, 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
Mike Baumann (OGILVIE)	—	—	4.48	22.6%	9.6%	3.1%	—	4.98	21.0%	10.7%	109	+0.50	—	—	—
Robert Stock R 2021 · 4.18 FIP	31	SW	4.18	23.0%	8.5%	3.5%	.301	7.20	14.3%	0.1%	23	+3.02	2.74	378	74
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	71
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	71
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	70
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	69
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	68
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	68
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	67
David Hale R 2019 · 3.30 FIP	31	SW	3.30	16.4%	5.5%	1.6%	.307	4.23	18.3%	12.1%	44	+0.93	3.30	581	66
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	66
Cody Satterwhite R 2017 · 4.22 FIP	30	SU	4.22	17.0%	7.1%	3.0%	.310	—	—	—	—	—	3.69	147	66
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	65
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	65
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	65
Clay Hensley R 2011 · 4.78 FIP	31	SW	4.78	15.5%	9.8%	3.2%	.249	4.37	17.9%	5.9%	51	-0.41	2.58	517	65
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	64
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	2.92	432	63
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	63
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	63
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	63

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	1.7	48	20.7%	10.2%	1.21	4.86
Scott Service ('04)	2.1	46	22.2%	9.9%	1.23	5.04
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Jerry Don Gleaton ('79-'92, 2 WAR*)	2.2	64	19.4%*	10.2%*	1.05*	4.44*