Adam Wolf — OGILVIE

Adam Wolf P Erie SeaWolves

Age 29 LHP 6'6" / 215 lbs AA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108116vR 124

ERA4.78

FIP4.78

K%18.7%

BB%10.0%

K-BB%8.7%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†4545

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)
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 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	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	DET	2	0	2	8	2	1	0	0%	1.0	18.7%	10.0%	8.7%	2.9%	4.78	4.78	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	DET	20	0	21	90	17	9	3	0%	1.1	18.8%	10.2%	8.6%	3.1%	4.84	4.91	-0.1
2027	30	MLB CTX	DET	7	0	7	30	6	3	1	0%	1.0	18.8%	10.2%	8.6%	3.1%	4.84	4.91	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	7	28	5	3	1	0%	1.1	18.8%	10.2%	8.6%	3.1%	4.84	4.53	+0.0
/ 200 IP	—	RAW		190	0	200	844	149	90	30	0%	1.1	18.8%	10.2%	8.6%	3.1%	4.84	4.53	+0.0
Career	—	MLE		133	60	398	1739	299	171	42	45%	3.0	17.2%	9.8%	7.3%	2.4%	3.93	4.22	-0.1
/ 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	-0.8

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
Adam Wolf (OGILVIE)	—	—	4.78	18.7%	10.0%	2.9%	—	4.91	18.8%	8.6%	21	+0.13	—	—	—
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	73
Aaron Laffey L 2015 · 4.12 FIP	30	SW	4.12	13.5%	9.7%	1.7%	.318	4.39	12.5%	5.2%	192	+0.27	3.51	282	71
Brian Flynn L 2019 · 4.49 FIP	29	SW	4.49	17.7%	10.1%	2.9%	.333	—	—	—	—	—	3.80	277	70
Aaron Rozek L 2023 · 4.87 FIP	27	SP-	4.87	17.4%	8.8%	3.9%	.311	4.43	16.3%	8.9%	346	-0.44	3.70	569	70
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	70
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	70
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	69
Travis Blackley L 2015 · 4.91 FIP	32	SP-	4.91	15.4%	6.4%	4.2%	.324	4.45	10.5%	0.0%	137	-0.46	3.85	225	69
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	65
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	65
Onelki Garcia L 2017 · 4.02 FIP	27	SP-	4.02	16.5%	9.3%	2.1%	.328	—	—	—	—	—	2.99	164	64
Duane Below L 2015 · 3.63 FIP	29	SW	3.63	12.5%	3.7%	2.0%	.266	4.57	14.7%	9.6%	140	+0.94	3.63	189	64
Edgar Olmos L 2017 · 3.64 FIP	27	SW	3.64	18.9%	9.7%	1.7%	.252	—	—	—	—	—	3.19	203	64
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	64
Miguel Pena L 2019 · 5.08 FIP	28	SW	5.08	16.0%	7.0%	4.4%	.369	—	—	—	—	—	2.98	282	63
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	63
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	62
Colten Schmidt L 2023 · 5.23 FIP	27	SW	5.23	14.4%	8.0%	4.2%	.337	—	—	—	—	—	3.28	163	61
Kyle Hart L 2022 · 5.24 FIP	29	SW	5.24	17.4%	9.9%	4.3%	.286	4.33	17.9%	9.0%	196	-0.91	3.60	884	61
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	103	60