Adam Maier

P Everett AquaSox

Age 25 RHP 6'0" / 203 lbs A+ peak 0.4 · 2028

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	19	19	83	4.10	2.75	21.8%	7.0%	—	K 16.3% · BB 8.1% · FIP 3.58
2025	23	MIX2 levels	23	20	100	5.83	4.34	17.3%	10.1%	—	K 13.1% · BB 11.7% · FIP 5.25
2026	24	A+SEA	22	20	93	5.24	4.09	20.1%	7.1%	—	K 15.5% · BB 8.2% · FIP 5.01
2027PROJ	25	MLBSEA	—	—	0	5.62	5.62	12.7%	11.5%	—
2028PROJ43% MLB	26	MLBSEA	5	5	29	5.43	5.39	14.6%	11.0%	0.0
2029PROJ63% MLB	27	MLBSEA	6	6	37	5.35	5.35	15.2%	10.9%	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control40Command30

Career WAR0.0 WAR median (P10 -0.1 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsJohendí Jiminian (age 25) · Jordan Cooper (age 26) · Jake Peppers (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.62

FIP5.62

K%12.7%

BB%11.5%

K-BB%1.2%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4040

CMD3030

K†3040

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)
2024	22	MIX MLE	2 levels	19	19	83	358	78	25	4	100%	4.4	16.3%	8.1%	8.2%	1.5%	4.10	3.58	—
2024	22	MIX MLE	2 levels	19	19	83	358	78	25	4	100%	4.4	16.3%	8.1%	8.2%	1.5%	4.10	3.58	—
2024	22	MIX RAW	2 levels	19	19	83	358	78	25	4	100%	4.4	21.8%	7.0%	14.8%	1.1%	4.10	2.75	—
2025	23	MIX MLE	2 levels	23	20	100	444	77	45	11	87%	4.4	13.1%	11.7%	1.4%	3.2%	5.83	5.25	—
2025	23	MIX MLE	2 levels	23	20	100	444	77	45	11	87%	4.4	13.1%	11.7%	1.4%	3.2%	5.83	5.25	—
2025	23	MIX RAW	2 levels	23	20	100	444	77	45	11	87%	4.4	17.3%	10.1%	7.2%	2.5%	5.83	4.34	—
2026	24	A+ MLE	Everett AquaSox	22	20	93	408	82	29	13	91%	4.2	15.5%	8.2%	7.3%	4.0%	5.24	5.01	—
2026	24	A+ MLE	Everett AquaSox	22	20	93	408	82	29	13	91%	4.2	15.5%	8.2%	7.3%	4.0%	5.24	5.01	—
2026	24	A+ RAW	Everett AquaSox	22	20	93	408	82	29	13	91%	4.2	20.1%	7.1%	13.0%	3.2%	5.24	4.09	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	SEA	—	—	0	—	—	—	—	—	—	12.7%	11.5%	1.2%	3.2%	5.62	5.62	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	SEA	11	11	67	285	42	31	9	100%	6.1	14.6%	11.0%	3.6%	3.2%	5.43	5.39	+0.0
2029	27	MLB MLE	SEA	10	10	59	249	38	27	8	100%	5.9	15.2%	10.9%	4.3%	3.2%	5.35	5.35	+0.0
2030	28	MLB MLE	SEA	9	9	54	230	35	25	8	100%	6.0	15.4%	10.8%	4.5%	3.3%	5.34	5.37	+0.0
2031	29	MLB MLE	SEA	8	8	50	212	32	23	7	100%	6.3	15.3%	11.0%	4.3%	3.5%	5.41	5.48	-0.0
2032	30	MLB MLE	SEA	8	8	49	206	35	22	8	100%	6.1	17.0%	10.5%	6.5%	3.7%	5.39	5.38	+0.0
2028	26	MLB CTX	SEA	5	5	29	122	18	14	4	100%	5.8	14.6%	11.0%	3.6%	3.2%	5.43	5.39	+0.0
2029	27	MLB CTX	SEA	6	6	37	156	24	17	5	100%	6.2	15.2%	10.9%	4.3%	3.2%	5.35	5.35	+0.0
2030	28	MLB CTX	SEA	7	7	41	173	27	19	6	100%	5.9	15.4%	10.8%	4.5%	3.3%	5.34	5.37	+0.0
2031	29	MLB CTX	SEA	7	7	41	173	26	19	6	100%	5.9	15.3%	11.0%	4.3%	3.5%	5.41	5.48	-0.0
2032	30	MLB CTX	SEA	7	7	42	177	30	19	6	100%	6.0	17.0%	10.5%	6.5%	3.7%	5.39	5.38	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	32	190	801	125	87	27	100%	5.9	15.5%	10.8%	4.7%	3.4%	5.38	5.02	+0.8
/ 200 IP	—	RAW		33	33	200	844	132	92	28	100%	6.0	15.5%	10.8%	4.7%	3.4%	5.38	5.02	+0.9
Career	—	MLE		64	59	276	1210	180	114	36	92%	4.3	14.8%	9.4%	5.4%	3.0%	5.11	4.68	+0.0
/ 200 IP	—	MLE		46	43	200	876	130	83	26	92%	4.3	14.8%	9.4%	5.4%	3.0%	5.11	4.68	+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 A+Everett AquaSox · 93 IPFIP 4.05 → 5.01 (+0.96)K% 20.1% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.10%	—	×0.770	15.48%
BB% (unintentional) /BF	7.11%	—	×1.150	8.17%
HR / BF /BF	3.19%	÷1.000	×1.250	3.98%

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 100).

Result: FIP 4.05 → 5.01, 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 · 95 IPFIP 4.12 → 5.25 (+1.14)K% 17.0% → 13.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.98%	—	×0.770	13.08%
BB% (unintentional) /BF	10.14%	—	×1.150	11.66%
HR / BF /BF	2.12%	÷0.819	×1.250	3.24%

Result: FIP 4.12 → 5.25, 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 AAAGwinnett Stripers · 5 IPFIP 7.74 → 8.70 (+0.96)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	10.00%	÷0.961	×1.100	11.44%

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 92).

Result: FIP 7.74 → 8.70, 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 · 57 IPFIP 2.41 → 3.25 (+0.83)K% 23.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.75%	—	×0.740	17.57%
BB% (unintentional) /BF	5.00%	—	×1.180	5.90%
HR / BF /BF	1.25%	÷1.010	×1.300	1.61%

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 2.41 → 3.25, 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 · 27 IPFIP 3.46 → 4.25 (+0.79)K% 17.8% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.80%	—	×0.770	13.70%
BB% (unintentional) /BF	11.02%	—	×1.150	12.67%
HR / BF /BF	0.85%	÷0.831	×1.250	1.27%

Result: FIP 3.46 → 4.25, 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
Adam Maier (OGILVIE)	—	—	5.62	12.7%	11.5%	3.2%	—	5.37	15.0%	4.1%	181	-0.25	—	—	—
Johendí Jiminian R 2018 · 5.25 FIP	25	SP	5.25	14.0%	11.4%	3.5%	.282	4.41	13.9%	4.4%	94	-0.84	4.01	419	85
Jordan Cooper R 2015 · 5.01 FIP	26	SP	5.01	9.2%	10.2%	2.5%	.305	—	—	—	—	—	5.01	106	82
Jake Peppers R 2024 · 5.02 FIP	22	SP	5.02	15.3%	12.2%	3.0%	.293	5.15	14.8%	-1.3%	89	+0.13	4.83	186	82
Ike Buxton R 2024 · 4.45 FIP	24	SP	4.45	15.4%	13.1%	1.8%	.341	4.97	13.8%	-5.5%	46	+0.52	4.45	196	82
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	81
Bryce Warrecker R 2024 · 5.43 FIP	22	SP	5.43	11.3%	11.7%	3.3%	.271	3.82	20.1%	9.6%	91	-1.61	2.47	154	81
Joel Hanrahan R 2007 · 5.58 FIP	25	SP	5.58	17.4%	15.4%	3.6%	.318	3.06	27.8%	18.1%	218	-2.52	2.08	397	81
Sam Wolff R 2016 · 5.72 FIP	25	SP	5.72	13.9%	15.0%	3.5%	.278	3.15	25.1%	15.5%	106	-2.57	2.66	178	81
Clayton Mortensen R 2009 · 5.68 FIP	24	SP	5.68	8.7%	8.7%	4.0%	.308	4.84	17.1%	7.7%	100	-0.84	4.31	383	80
Justin Miller R 2002 · 5.01 FIP	24	SP-	5.01	14.5%	13.6%	2.6%	.280	5.41	12.5%	2.1%	82	+0.40	2.63	373	80
Ben Anderson R 2022 · 4.59 FIP	24	SP	4.59	13.0%	12.0%	1.9%	.270	4.31	14.4%	6.0%	217	-0.28	3.80	399	80
Brian Bannister R 2006 · 4.93 FIP	25	SP-	4.93	11.1%	11.7%	2.3%	.234	4.32	13.3%	6.6%	502	-0.61	3.97	667	80
Josh Banks R 2008 · 4.81 FIP	26	SP-	4.81	11.6%	7.3%	3.2%	.283	6.01	9.0%	6.0%	23	+1.20	4.81	108	80
Jake Bockenstedt R 2024 · 6.05 FIP	24	SP	6.05	17.0%	13.1%	5.0%	.322	4.35	16.8%	5.4%	126	-1.70	3.74	218	80
Hayden Merda R 2023 · 5.17 FIP	23	SP	5.17	16.1%	15.3%	2.7%	.325	4.59	25.5%	10.9%	108	-0.58	4.20	203	79
Chase Solesky R 2023 · 4.77 FIP	25	SP	4.77	14.9%	10.0%	3.0%	.322	4.43	16.0%	8.7%	271	-0.34	4.07	567	79
Joe Nathan R 2000 · 5.19 FIP	25	SP-	5.19	14.3%	13.8%	2.8%	.262	3.30	26.3%	16.8%	79	-1.89	1.25	929	79
Drew Gagnon R 2015 · 5.56 FIP	25	SP-	5.56	11.6%	12.6%	3.4%	.313	4.02	20.4%	12.2%	311	-1.54	3.71	534	79
Paul Rigdon R 2001 · 5.34 FIP	25	SP	5.34	13.6%	11.1%	3.6%	.283	—	—	—	—	—	5.29	167	79
Mike Thompson R 2006 · 4.95 FIP	25	SP	4.95	8.6%	6.4%	3.2%	.272	4.85	6.7%	0.0%	16	-0.10	4.85	108	78

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	58	14.9%	11.0%	1.28	5.43
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*