Adam Wolf

P Erie SeaWolves

Age 30 LHP 6'6" / 215 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	AADET	35	11	89	2.72	3.16	23.9%	9.6%	—	K 19.4% · BB 10.6% · FIP 3.91
2023	26	AADET	40	7	85	3.48	3.38	21.2%	10.5%	—	K 17.2% · BB 11.5% · FIP 3.95
2024	27	MIX2 levels	16	2	32	3.09	4.13	19.3%	11.4%	—	K 15.2% · BB 8.7% · FIP 5.00
2027PROJ	30	MLBDET	13	0	14	4.47	4.47	21.5%	9.1%	0.0
2028PROJ31% MLB	31	MLBDET	6	0	6	4.57	4.66	21.3%	9.4%	-0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsLuke Westphal (age 32) · Hector Hernandez (age 28) · Tyler Alexander (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 102110vR 118

ERA4.47

FIP4.47

K%21.5%

BB%9.1%

K-BB%12.4%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†5050

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)
2018	21	ROK MLE	GCL Tigers West	2	2	7	27	5	4	0	100%	3.3	18.5%	14.8%	3.7%	0.0%	0.00	3.41	—
2018	21	ROK RAW	GCL Tigers West	2	2	7	27	5	4	0	100%	3.3	18.5%	14.8%	3.7%	0.0%	0.00	3.40	—
2019	22	A MLE	West Michigan Whitecaps	17	17	78	368	70	30	4	100%	4.6	14.1%	9.6%	4.5%	1.6%	6.23	4.00	—
2019	22	A RAW	West Michigan Whitecaps	17	17	78	368	70	30	4	100%	4.6	19.0%	8.2%	10.9%	1.1%	6.23	3.13	—
2021	24	MIX MLE	2 levels	23	21	107	447	108	31	12	91%	4.7	18.4%	8.0%	10.4%	3.9%	4.12	4.72	—
2021	24	MIX RAW	2 levels	23	21	107	447	108	31	12	91%	4.7	24.2%	6.9%	17.2%	2.7%	4.12	3.41	—
2022	25	AA MLE	Erie SeaWolves	35	11	89	385	92	37	6	31%	2.6	19.4%	10.6%	8.8%	2.0%	2.72	3.91	—
2022	25	AA RAW	Erie SeaWolves	35	11	89	385	92	37	6	31%	2.6	23.9%	9.6%	14.3%	1.6%	2.72	3.16	—
2023	26	AA MLE	Erie SeaWolves	40	7	85	372	79	39	5	18%	2.1	17.2%	11.5%	5.7%	1.5%	3.48	3.95	—
2023	26	AA RAW	Erie SeaWolves	40	7	85	372	79	39	5	18%	2.1	21.2%	10.5%	10.8%	1.3%	3.48	3.38	—
2024	27	MIX MLE	2 levels	16	2	32	140	27	16	3	12%	2.0	15.2%	8.7%	6.5%	3.8%	3.09	5.00	—
2024	27	MIX MLE	2 levels	16	2	32	140	27	16	3	12%	2.0	15.2%	8.7%	6.5%	3.8%	3.09	5.00	—
2024	27	MIX RAW	2 levels	16	2	32	140	27	16	3	12%	2.0	19.3%	11.4%	7.9%	2.1%	3.09	4.13	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	DET	13	0	14	59	13	5	2	0%	1.1	21.5%	9.1%	12.4%	3.0%	4.47	4.47	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	DET	19	0	20	84	18	8	3	0%	1.1	21.3%	9.4%	11.9%	3.2%	4.57	4.66	-0.0
2028	31	MLB CTX	DET	6	0	6	25	5	2	1	0%	1.0	21.3%	9.4%	11.9%	3.2%	4.57	4.66	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	2	1	0%	1.0	21.3%	9.4%	11.9%	3.2%	4.57	4.28	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	64	32	0%	1.1	21.3%	9.4%	11.9%	3.2%	4.57	4.28	+0.6
Career	—	MLE		133	60	398	1739	299	171	42	45%	3.0	17.2%	9.8%	7.3%	2.4%	3.93	4.22	-0.0
/ 200 IP	—	MLE		67	30	200	873	150	86	21	45%	3.0	17.2%	9.8%	7.3%	2.4%	3.93	4.22	-0.3

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 Wolf (OGILVIE)	—	—	4.47	21.5%	9.1%	3.0%	—	4.66	21.3%	11.9%	20	+0.19	—	—	—
Luke Westphal L 2021 · 4.70 FIP	32	SP-	4.70	22.7%	13.1%	3.4%	.321	4.58	21.9%	7.6%	95	-0.12	2.97	294	73
Hector Hernandez L 2019 · 3.39 FIP	28	SW	3.39	20.2%	9.0%	1.5%	.290	—	—	—	—	—	2.17	121	69
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	67
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	66
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	66
Ryan Verdugo L 2017 · 3.36 FIP	30	SP-	3.36	22.7%	5.4%	2.7%	.333	—	—	—	—	—	3.36	153	65
Tommy Phelps L 2004 · 4.80 FIP	30	SW	4.80	19.4%	8.3%	4.2%	.286	3.98	13.2%	5.7%	23	-0.82	3.39	120	64
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	62
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	62
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	60
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	59
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	59
Miguel Pena L 2019 · 5.08 FIP	28	SW	5.08	16.0%	7.0%	4.4%	.369	—	—	—	—	—	2.98	282	58
Andy Otero L 2022 · 4.36 FIP	30	SW	4.36	14.5%	8.9%	2.5%	.308	—	—	—	—	—	2.86	200	58
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	56
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	56
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	56
Chad Bell L 2018 · 4.38 FIP	29	SU	4.38	18.8%	7.4%	3.5%	.341	—	—	—	—	—	3.39	393	55
Daniel Camarena L 2023 · 4.94 FIP	30	SP-	4.94	14.0%	5.6%	4.2%	.342	6.81	13.2%	2.4%	51	+1.87	3.76	674	53
Mike Kickham L 2019 · 4.12 FIP	30	SW	4.12	19.3%	9.6%	2.6%	.311	5.98	18.8%	8.7%	61	+1.86	3.00	397	53