Mark Adamiak

P Lansing Lugnuts

Age 26 RHP 6'4" / 230 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	MIX2 levels	16	18	9.17	5.14	24.1%	14.9%	—	K 14.4% · BB 20.8% · FIP 6.87
2024	23	AOAK	45	61	4.90	3.51	27.5%	10.3%	—	K 20.3% · BB 12.1% · FIP 4.49
2025	24	MIX2 levels	46	53	3.06	2.97	20.2%	6.4%	—	K 15.7% · BB 7.4% · FIP 3.83
2027PROJ	26	MLBOAK	57	60	4.89	4.89	16.1%	9.2%	-0.2
2028PROJ37% MLB	27	MLBOAK	20	21	4.86	4.87	16.8%	9.3%	-0.1
2029PROJ59% MLB	28	MLBOAK	31	33	4.88	4.91	17.2%	9.4%	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control55Command45

CompsDavid Goforth (age 26) · Greg Burke (age 26) · Francisco Rodriguez (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.89

FIP4.89

K%16.1%

BB%9.2%

K-BB%6.9%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5555

CMD4545

K†4040

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 + 2027 so far)
2022	21	MIX MLE	2 levels	4	1	4	25	4	4	0	25%	1.1	16.0%	16.0%	0.0%	0.0%	16.62	3.78	—
2022	21	MIX RAW	2 levels	4	1	4	25	4	4	0	25%	1.1	16.0%	16.0%	0.0%	0.0%	16.62	4.02	—
2023	22	MIX MLE	2 levels	16	0	18	87	21	13	3	0%	1.1	14.4%	20.8%	-6.4%	4.3%	9.17	6.87	—
2023	22	MIX RAW	2 levels	16	0	18	87	21	13	3	0%	1.1	24.1%	14.9%	9.2%	3.4%	9.17	5.14	—
2024	23	A MLE	Stockton Ports	45	0	61	273	75	28	7	0%	1.3	20.3%	12.1%	8.2%	2.9%	4.90	4.49	—
2024	23	A MLE	Stockton Ports	45	0	61	273	75	28	7	0%	1.3	20.3%	12.1%	8.2%	2.9%	4.90	4.49	—
2024	23	A RAW	Stockton Ports	45	0	61	273	75	28	7	0%	1.3	27.5%	10.3%	17.2%	2.6%	4.90	3.51	—
2025	24	MIX MLE	2 levels	46	0	53	218	44	14	3	0%	1.2	15.7%	7.4%	8.3%	2.0%	3.06	3.83	—
2025	24	MIX MLE	2 levels	46	0	53	218	44	14	3	0%	1.2	15.7%	7.4%	8.3%	2.0%	3.06	3.83	—
2025	24	MIX RAW	2 levels	46	0	53	218	44	14	3	0%	1.2	20.2%	6.4%	13.8%	1.4%	3.06	2.97	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	OAK	57	0	60	253	41	23	7	0%	1.1	16.1%	9.2%	6.9%	2.9%	4.89	4.89	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	OAK	56	0	59	247	42	23	7	0%	1.0	16.8%	9.3%	7.5%	3.0%	4.86	4.87	-0.2
2029	28	MLB MLE	OAK	54	0	57	240	41	23	7	0%	1.1	17.2%	9.4%	7.8%	3.1%	4.88	4.91	-0.2
2028	27	MLB CTX	OAK	20	0	21	89	15	8	3	0%	1.1	16.8%	9.3%	7.5%	3.0%	4.86	4.87	-0.1
2029	28	MLB CTX	OAK	31	0	33	139	24	13	4	0%	1.1	17.2%	9.4%	7.8%	3.1%	4.88	4.91	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		52	0	55	232	40	22	7	0%	1.1	17.0%	9.4%	7.7%	3.0%	4.87	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	146	80	25	0%	1.1	17.0%	9.4%	7.7%	3.0%	4.87	4.52	+0.1
Career	—	MLE		111	1	136	603	106	71	16	1%	1.2	17.6%	11.8%	5.8%	2.6%	5.11	4.56	-0.5
/ 200 IP	—	MLE		164	1	200	889	157	105	24	1%	1.2	17.6%	11.8%	5.8%	2.6%	5.11	4.56	-0.8

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
Mark Adamiak (OGILVIE)	—	—	4.89	16.1%	9.2%	2.9%	—	4.89	17.0%	7.6%	115	-0.00	—	—	—
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	91
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	91
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	90
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	90
Aaron Kurcz R 2017 · 4.84 FIP	26	SU	4.84	15.4%	8.4%	3.6%	.301	3.97	26.2%	21.8%	50	-0.87	3.31	213	89
Bryan Morris R 2013 · 4.78 FIP	26	SU	4.78	13.7%	8.5%	3.2%	.243	3.90	17.7%	9.2%	145	-0.88	3.48	231	89
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	89
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	89
Raul Fernandez R 2016 · 4.35 FIP	26	SU	4.35	13.6%	9.3%	2.2%	.270	5.54	20.4%	6.2%	38	+1.19	4.03	165	89
J.J. Putz R 2004 · 4.57 FIP	27	SU	4.57	17.1%	7.3%	3.6%	.283	2.58	28.5%	23.0%	210	-1.99	1.43	563	88
Ryan Doolittle R 2015 · 4.03 FIP	27	SU	4.03	15.1%	6.7%	2.5%	.315	4.38	13.9%	6.8%	44	+0.35	4.03	101	88
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	88
Carlos Gonzalez R 2016 · 3.78 FIP	26	SU	3.78	18.2%	8.7%	2.0%	.266	4.37	14.3%	2.3%	36	+0.59	3.75	154	88
Tyler Mizenko R 2016 · 5.15 FIP	26	SU	5.15	13.3%	10.2%	3.5%	.303	—	—	—	—	—	3.66	104	88
Jonathan Hughes R 2023 · 4.31 FIP	26	SU	4.31	17.1%	9.2%	2.7%	.283	3.54	17.1%	4.9%	50	-0.77	3.44	219	88
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	87
Woo-Suk Go R 2024 · 4.80 FIP	25	SU	4.80	17.3%	8.8%	3.7%	.359	4.16	21.5%	10.2%	64	-0.64	3.57	116	87
Logan Bawcom R 2015 · 3.85 FIP	26	SU	3.85	15.8%	9.1%	1.7%	.320	4.35	15.9%	6.2%	259	+0.50	3.73	399	87
Stephen Kohlscheen R 2015 · 3.83 FIP	26	SU	3.83	15.6%	8.1%	1.9%	.311	3.98	22.8%	15.0%	90	+0.15	2.52	167	87
Logan Ondrusek R 2011 · 3.94 FIP	26	SU	3.94	15.3%	7.8%	2.1%	.245	4.09	20.1%	11.6%	151	+0.15	3.57	409	86

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	58	16.7%	9.3%	1.16	4.88
Vic Darensbourg ('05)	1.5	50	17.0%	9.3%	1.01	4.96
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Vinnie Chulk ('12)	1.4	57	16.0%	9.0%	0.98	4.51
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Dave Leiper ('84-'96, 0 WAR*)	1.4	46	15.6%*	9.1%*	0.94*	4.28*