Tim Naughton

P Erie SeaWolves

Age 31 RHP 6'3" / 195 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	27	AADET	36	3	51	4.62	3.14	28.0%	8.9%	—	K 22.7% · BB 9.8% · FIP 3.88
2024	28	AADET	43	0	60	3.00	3.18	28.5%	12.9%	—	K 23.1% · BB 14.2% · FIP 4.04
2025	29	MIX2 levels	21	0	35	2.57	2.50	30.3%	9.2%	—	K 25.6% · BB 8.3% · FIP 2.93
2027PROJ	31	MLBDET	21	0	22	4.29	4.29	24.2%	10.2%	0.1
2028PROJ31% MLB	32	MLBDET	6	0	6	4.43	4.52	23.7%	10.5%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJoe Nelson (age 31) · Mike Broadway (age 31) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115107vR 98

ERA4.29

FIP4.29

K%24.2%

BB%10.2%

K-BB%14.0%

Proj IP22

Value2027 · WAR

Runs saved vs league avg · 22 IP

Grades · Contract

Scouting Grades

K†6060

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)
2017	21	ROK MLE	GCL Orioles	17	0	17	80	21	10	1	0%	1.0	17.9%	15.6%	2.2%	1.7%	3.71	4.53	—
2017	21	ROK RAW	GCL Orioles	17	0	17	80	21	10	1	0%	1.0	26.2%	12.5%	13.8%	1.2%	3.71	3.16	—
2018	22	A MLE	Delmarva Shorebirds	24	0	32	157	33	22	1	0%	1.3	15.6%	16.5%	-1.0%	0.9%	4.45	4.40	—
2018	22	A RAW	Delmarva Shorebirds	24	0	32	157	33	22	1	0%	1.3	21.0%	14.0%	7.0%	0.6%	4.45	3.50	—
2019	23	MIX MLE	3 levels	47	0	52	236	74	26	2	0%	1.1	24.0%	13.0%	11.0%	0.6%	2.79	3.05	—
2019	23	MIX RAW	3 levels	47	0	52	236	74	26	2	0%	1.1	31.4%	11.0%	20.3%	0.8%	2.79	2.25	—
2021	25	AA MLE	Bowie Baysox	36	0	44	205	58	39	4	0%	1.2	22.9%	20.9%	2.0%	1.9%	5.36	4.84	—
2021	25	AA RAW	Bowie Baysox	36	0	44	205	58	39	4	0%	1.2	28.3%	19.0%	9.3%	2.0%	5.36	4.31	—
2022	26	AAA MLE	Norfolk Tides	16	0	18	83	25	15	3	0%	1.1	26.5%	19.0%	7.5%	4.1%	5.60	5.52	—
2022	26	AAA RAW	Norfolk Tides	16	0	18	83	25	15	3	0%	1.1	30.1%	18.1%	12.0%	3.6%	5.60	5.02	—
2023	27	AA MLE	Erie SeaWolves	36	3	51	214	60	19	5	8%	1.4	22.7%	9.8%	12.9%	2.7%	4.62	3.88	—
2023	27	AA RAW	Erie SeaWolves	36	3	51	214	60	19	5	8%	1.4	28.0%	8.9%	19.2%	2.3%	4.62	3.14	—
2024	28	AA MLE	Erie SeaWolves	43	0	60	256	73	33	4	0%	1.4	23.1%	14.2%	8.9%	2.0%	3.00	4.04	—
2024	28	AA MLE	Erie SeaWolves	43	0	60	256	73	33	4	0%	1.4	23.1%	14.2%	8.9%	2.0%	3.00	4.04	—
2024	28	AA RAW	Erie SeaWolves	43	0	60	256	73	33	4	0%	1.4	28.5%	12.9%	15.6%	1.6%	3.00	3.18	—
2025	29	MIX MLE	2 levels	21	0	35	142	43	13	2	0%	1.7	25.6%	8.3%	17.3%	1.7%	2.57	2.93	—
2025	29	MIX MLE	2 levels	21	0	35	142	43	13	2	0%	1.7	25.6%	8.3%	17.3%	1.7%	2.57	2.93	—
2025	29	MIX RAW	2 levels	21	0	35	142	43	13	2	0%	1.7	30.3%	9.2%	21.1%	1.4%	2.57	2.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	DET	21	0	22	93	22	9	3	0%	1.0	24.2%	10.2%	14.0%	2.9%	4.29	4.29	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	DET	19	0	20	86	20	9	3	0%	1.1	23.7%	10.5%	13.2%	3.1%	4.43	4.52	+0.0
2028	32	MLB CTX	DET	6	0	6	25	6	3	1	0%	1.0	23.7%	10.5%	13.2%	3.1%	4.43	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	27	6	3	1	0%	1.1	23.7%	10.5%	13.2%	3.1%	4.43	4.14	+0.0
/ 200 IP	—	RAW		190	0	200	844	188	94	31	0%	1.1	23.7%	10.5%	13.2%	3.1%	4.43	4.14	+1.0
Career	—	MLE		240	3	308	1373	308	197	25	1%	1.3	22.5%	14.3%	8.1%	1.8%	3.86	4.01	+0.0
/ 200 IP	—	MLE		156	2	200	892	200	128	16	1%	1.3	22.5%	14.3%	8.1%	1.8%	3.86	4.01	+0.1

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
Tim Naughton (OGILVIE)	—	—	4.29	24.2%	10.2%	2.9%	—	4.52	23.7%	13.2%	20	+0.23	—	—	—
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	89
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	83
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	83
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	79
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	78
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	78
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	77
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.27	300	77
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	77
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	77
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	2.60	292	77
Ryan Brasier R 2019 · 4.12 FIP	31	SU	4.12	25.3%	8.3%	3.8%	.278	3.56	24.3%	18.2%	99	-0.56	2.31	426	76
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	76
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	76
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	76
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	75
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	75
Grant Sides R 2019 · 3.31 FIP	30	SU	3.31	21.7%	9.8%	1.5%	.267	—	—	—	—	—	3.31	159	75
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	75
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	75