Jon Duplantier — OGILVIE

Jon Duplantier P Oklahoma City Baseball Club

Age 32 RHP 6'4" / 229 lbs AAA

2026 ROS PROJECTION0 act + 13 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 132123vR 115

ERA4.99

FIP5.18

K%21.7%

BB%14.8%

K-BB%6.8%

ROS IP13

Value2026 · WAR

Runs saved vs league avg · 13 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—40

STUF5050

CTRL4040

CMD4545

K†5050

Statcast Percentiles

FB Velo

p1091.2

Whiff%

p1820.8%

p1517.1%

xwOBA vs

p100.389

CH-0.7

SL-0.8

FB-7.4

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)
2017	23	MIX MLE	2 levels	25	24	136	527	165	41	6	96%	5.4	23.7%	9.0%	14.6%	1.6%	1.39	3.10	—
2017	23	MIX RAW	2 levels	25	24	136	527	165	41	6	96%	5.4	31.3%	7.8%	23.5%	1.1%	1.39	2.15	—
2018	24	MIX MLE	2 levels	16	16	74	300	77	30	4	100%	4.6	20.2%	11.3%	8.9%	1.8%	2.55	3.84	—
2018	24	MIX RAW	2 levels	16	16	74	300	77	30	4	100%	4.6	25.7%	10.0%	15.7%	1.3%	2.55	2.94	—
2019	25	MIX MLE	4 levels	31	17	80	354	84	48	4	55%	2.6	22.0%	14.0%	8.0%	0.9%	4.97	3.54	+1.3
2019	25	MIX RAW	4 levels	31	17	80	354	84	48	4	55%	2.6	23.7%	13.6%	10.2%	1.1%	4.97	3.45	+1.4
2021	27	MIX MLE	3 levels	8	7	21	110	17	13	6	88%	2.6	17.1%	11.4%	5.7%	7.6%	11.14	7.25	-0.6
2021	27	MIX RAW	3 levels	8	7	21	110	17	13	6	88%	2.6	15.5%	11.8%	3.6%	5.5%	11.14	7.05	-0.5
2022	28	AAA MLE	Oklahoma City Dodgers	34	14	94	428	109	57	18	41%	2.8	22.4%	14.0%	8.4%	4.6%	4.80	5.53	—
2022	28	AAA RAW	Oklahoma City Dodgers	34	14	94	428	109	57	18	41%	2.8	25.5%	13.3%	12.1%	4.2%	4.80	5.10	—
2023	29	A+ MLE	Jersey Shore BlueClaws	3	3	10	44	12	5	2	100%	3.2	27.3%	11.4%	15.9%	4.5%	8.38	4.73	—
2023	29	A+ MLE	Jersey Shore BlueClaws	3	3	10	44	12	5	2	100%	3.2	27.3%	11.4%	15.9%	4.5%	8.38	4.73	—
2023	29	A+ RAW	Jersey Shore BlueClaws	3	3	10	44	12	5	2	100%	3.2	27.3%	11.4%	15.9%	4.5%	8.38	4.86	—
2024	30	MIX MLE	2 levels	23	7	56	248	68	40	3	30%	2.4	23.1%	15.5%	7.6%	1.6%	4.20	4.01	—
2024	30	MIX MLE	2 levels	23	7	56	248	68	40	3	30%	2.4	23.1%	15.5%	7.6%	1.6%	4.20	4.01	—
2024	30	MIX RAW	2 levels	23	7	56	248	68	40	3	30%	2.4	27.4%	16.1%	11.3%	1.2%	4.20	3.51	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			19	7	50	233	46	25	7	37%	2.6	19.7%	10.7%	9.0%	3.0%	6.70	4.59	-0.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	LAD	2	2	13	55	12	8	2	100%	6.5	21.7%	14.8%	6.8%	3.0%	4.99	5.18	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	LAD	24	24	143	604	126	88	20	100%	6.0	20.8%	14.6%	6.3%	3.3%	5.18	5.37	-0.8
2028	34	MLB MLE	LAD	22	22	130	550	110	80	20	100%	5.9	20.0%	14.6%	5.5%	3.6%	5.39	5.59	-1.0
2027	33	MLB CTX	LAD	9	9	53	224	47	33	7	100%	5.9	20.8%	14.6%	6.3%	3.3%	5.18	5.37	-0.3
2028	34	MLB CTX	LAD	7	7	42	177	36	26	6	100%	6.0	20.0%	14.6%	5.5%	3.6%	5.39	5.59	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		35	23	144	633	128	83	21	66%	4.1	20.2%	13.2%	7.1%	3.3%	5.77	4.85	+0.1
/ 200 IP	—	RAW		48	32	200	877	177	115	29	65%	4.1	20.2%	13.2%	7.1%	3.3%	5.77	4.85	+0.1
Career	—	MLE		140	88	470	2011	447	247	51	63%	3.4	22.2%	12.3%	10.0%	2.5%	3.78	4.18	-1.6
/ 200 IP	—	MLE		60	37	200	856	190	105	22	63%	3.4	22.2%	12.3%	10.0%	2.5%	3.78	4.18	-1.0

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
Jon Duplantier (OGILVIE)	—	—	5.18	21.7%	14.8%	3.0%	—	5.47	20.5%	5.9%	273	+0.29	—	—	—
Junior Guerra R 2017 · 5.24 FIP	32	SP-	5.24	19.4%	12.8%	3.9%	.255	3.99	22.2%	12.5%	248	-1.25	3.18	646	64
Clay Buchholz R 2016 · 4.94 FIP	31	SP-	4.94	15.8%	9.2%	3.7%	.260	4.18	17.8%	11.6%	180	-0.76	2.51	433	62
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	61
Aníbal Sánchez R 2016 · 4.95 FIP	32	SP-	4.95	20.2%	7.8%	4.7%	.313	4.15	21.5%	14.8%	424	-0.80	3.49	869	58
Edwin Jackson R 2016 · 5.00 FIP	32	SP-	5.00	15.7%	10.1%	3.5%	.312	5.18	17.5%	7.7%	369	+0.18	3.77	521	57
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	56
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	55
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	55
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	4.34	219	55
Hector Galvan R 2019 · 4.84 FIP	31	SP-	4.84	14.3%	12.2%	2.6%	.357	—	—	—	—	—	3.59	406	54
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.30	287	52
Ubaldo Jiménez R 2016 · 4.10 FIP	32	SP	4.10	19.6%	11.1%	2.3%	.315	4.95	21.5%	12.5%	143	+0.85	3.63	469	52
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	52
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	52
Marco Estrada R 2015 · 4.32 FIP	32	SP-	4.32	18.1%	7.3%	3.3%	.213	4.55	20.6%	12.0%	506	+0.23	4.04	710	52
Sam LeCure R 2016 · 4.17 FIP	32	SW	4.17	16.6%	6.5%	3.0%	.311	—	—	—	—	—	4.17	171	51
Casey Coleman R 2019 · 5.06 FIP	32	SW	5.06	18.4%	9.0%	4.3%	.319	—	—	—	—	—	2.95	306	50
Hector Noesí R 2019 · 5.11 FIP	32	SP-	5.11	22.3%	7.2%	5.4%	.271	—	—	—	—	—	4.37	250	49
Roberto Hernandez R 2015 · 4.38 FIP	34	SP-	4.38	11.8%	6.7%	2.6%	.287	4.38	13.8%	6.8%	86	+0.00	4.38	171	49
Felipe Paulino R 2015 · 4.55 FIP	31	SP	4.55	15.8%	11.8%	2.3%	.312	4.93	15.0%	4.8%	26	+0.38	4.55	150	49

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.1	143	20.9%	14.7%	1.27	5.17
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Josiah Gray ('23)	1.9	126	22.6%	10.8%	1.88	4.64
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Brandon Finnegan ('18)	1.2	80	19.7%	11.6%	1.57	4.19
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54