D.J. Snelten — OGILVIE

D.J. Snelten P Scranton/Wilkes-Barre RailRiders

Age 34 LHP 6'6" / 240 lbs AAA

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

showingROS

wRC+ AGAINSTvL 111119vR 127

ERA4.96

FIP4.96

K%22.9%

BB%13.8%

K-BB%9.1%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†5555

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)
2015	23	MIX MLE	2 levels	23	23	120	508	126	34	7	100%	5.2	18.5%	7.8%	10.7%	1.8%	3.44	3.49	—
2015	23	MIX RAW	2 levels	23	23	120	508	126	34	7	100%	5.2	24.8%	6.7%	18.1%	1.4%	3.44	2.61	—
2016	24	A+ MLE	San Jose Giants	31	13	96	422	82	32	2	42%	3.1	15.0%	8.7%	6.2%	0.6%	4.11	3.25	—
2016	24	A+ RAW	San Jose Giants	31	13	96	422	82	32	2	42%	3.1	19.4%	7.6%	11.8%	0.5%	4.11	2.66	—
2017	25	MIX MLE	2 levels	51	0	74	302	71	22	4	0%	1.4	20.0%	7.7%	12.3%	1.6%	2.20	3.29	—
2017	25	MIX RAW	2 levels	51	0	74	302	71	22	4	0%	1.4	23.5%	7.3%	16.2%	1.3%	2.20	2.77	—
2018	26	MIX MLE	2 levels	39	0	51	248	49	27	4	0%	1.3	17.8%	11.4%	6.5%	1.0%	5.44	3.60	+0.6
2018	26	MIX RAW	2 levels	39	0	51	248	49	27	4	0%	1.3	19.8%	10.9%	8.9%	1.6%	5.44	3.78	+0.5
2023	31	AAA MLE	Scranton/Wilkes-Barre RailRiders	30	0	36	179	48	42	6	0%	1.2	22.3%	21.1%	1.1%	3.6%	7.50	5.89	—
2023	31	AAA MLE	Scranton/Wilkes-Barre RailRiders	30	0	36	179	48	42	6	0%	1.2	22.3%	21.1%	1.1%	3.6%	7.50	5.89	—
2023	31	AAA RAW	Scranton/Wilkes-Barre RailRiders	30	0	36	179	48	42	6	0%	1.2	26.8%	23.5%	3.4%	3.4%	7.50	6.10	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	0	4	26	4	3	2	0%	1.1	15.4%	11.5%	3.8%	7.7%	10.38	9.33	-0.2
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	34	MLB	NYY	2	0	2	8	2	1	0	0%	1.0	22.9%	13.8%	9.1%	3.0%	4.96	4.96	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	35	MLB MLE	NYY	19	0	20	84	19	12	3	0%	1.1	22.3%	13.9%	8.4%	3.4%	5.08	5.20	-0.1
2027	35	MLB CTX	NYY	1	0	1	4	1	1	0	0%	1.0	22.3%	13.9%	8.4%	3.4%	5.08	5.20	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		5	0	5	31	5	4	2	0%	1.1	16.4%	11.9%	4.5%	7.0%	9.31	7.08	-0.2
/ 200 IP	—	RAW		186	0	200	1128	184	147	74	0%	1.1	16.4%	11.9%	4.5%	7.0%	9.31	7.08	-5.9
Career	—	MLE		174	36	378	1659	302	166	25	21%	2.2	18.2%	10.0%	8.2%	1.5%	4.03	3.67	-0.4
/ 200 IP	—	MLE		92	19	200	879	160	88	13	21%	2.2	18.2%	10.0%	8.2%	1.5%	4.03	3.67	-3.2

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
D.J. Snelten (OGILVIE)	—	—	4.96	22.9%	13.8%	3.0%	—	5.20	22.3%	8.4%	20	+0.24	—	—	—
Dan Runzler L 2019 · 4.84 FIP	34	SU	4.84	16.0%	13.0%	2.6%	.284	—	—	—	—	—	3.78	127	69
Adam Loewen L 2017 · 4.22 FIP	33	SU	4.22	23.4%	17.4%	1.6%	.293	—	—	—	—	—	2.96	176	69
Ryan Buchter L 2021 · 5.24 FIP	34	SU	5.24	22.9%	13.2%	4.4%	.267	—	—	—	—	—	2.37	296	67
Luke Westphal L 2022 · 4.35 FIP	33	SW	4.35	24.2%	13.4%	2.9%	.302	5.24	15.2%	-1.2%	26	+0.89	2.97	294	67
James Jones L 2023 · 4.71 FIP	34	SU	4.71	13.2%	11.5%	2.3%	.246	—	—	—	—	—	3.58	127	66
Boone Logan L 2018 · 5.29 FIP	33	SU	5.29	24.1%	12.1%	4.9%	.353	—	—	—	—	—	2.58	113	66
Tommy Layne L 2019 · 5.60 FIP	34	SU	5.60	18.4%	10.1%	5.1%	.313	—	—	—	—	—	1.32	182	63
Jerry Blevins L 2018 · 4.43 FIP	34	SU	4.43	21.8%	11.2%	3.2%	.250	4.09	26.2%	16.3%	32	-0.34	2.71	166	62
Alejandro Soto L 2019 · 4.03 FIP	33	SW	4.03	17.1%	6.9%	2.7%	.376	—	—	—	—	—	3.96	280	62
Mike Dunn L 2019 · 5.02 FIP	34	SU	5.02	20.0%	8.0%	4.7%	.260	—	—	—	—	—	3.71	181	61
Sean Doolittle L 2021 · 4.00 FIP	34	SU	4.00	23.8%	9.0%	3.2%	.301	—	—	—	—	—	1.39	259	60
Tony Sipp L 2017 · 4.92 FIP	34	SU	4.92	23.6%	8.5%	5.0%	.269	2.59	24.9%	15.9%	60	-2.33	2.22	195	60
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	59
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	59
Cesár Ramos L 2017 · 4.23 FIP	33	SW	4.23	16.7%	8.3%	2.7%	.295	—	—	—	—	—	2.80	225	59
Vidal Nuño L 2021 · 4.88 FIP	34	SW	4.88	16.0%	4.9%	4.6%	.320	—	—	—	—	—	4.00	424	53
Blaine Hardy L 2021 · 5.14 FIP	34	SW	5.14	19.5%	10.5%	4.3%	.261	—	—	—	—	—	2.74	417	52
Dana Eveland L 2017 · 4.67 FIP	33	SW	4.67	14.7%	4.7%	4.0%	.324	—	—	—	—	—	2.42	129	52
Andrew Miller L 2019 · 4.74 FIP	34	SU	4.74	29.7%	11.0%	5.0%	.264	3.41	25.6%	16.5%	49	-1.33	1.34	336	50
Jake Diekman L 2021 · 4.27 FIP	34	SU	4.27	31.7%	12.2%	4.2%	.270	4.26	27.8%	12.4%	146	-0.01	2.36	455	50