Jose Dicochea — OGILVIE

Jose Dicochea P Lansing Lugnuts

Age 25 RHP 6'3" / 180 lbs A+ peak 0.6 · 2029

2026 ROS PROJECTION53 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 137129vR 121

ERA5.48

FIP5.48

K%16.6%

BB%13.9%

K-BB%2.7%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 59 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†4045

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)
2019	18	ROK MLE	AZL Athletics Green	10	9	22	109	14	14	3	90%	2.2	8.7%	16.1%	-7.3%	3.9%	10.38	6.51	—
2019	18	ROK RAW	AZL Athletics Green	10	9	22	109	14	14	3	90%	2.2	12.8%	12.8%	0.0%	2.8%	10.38	5.55	—
2021	20	A MLE	Stockton Ports	6	5	15	74	23	8	4	83%	2.4	23.0%	12.8%	10.2%	6.0%	11.05	6.08	—
2021	20	A RAW	Stockton Ports	6	5	15	74	23	8	4	83%	2.4	31.1%	10.8%	20.3%	5.4%	11.05	5.15	—
2022	21	MIX MLE	2 levels	5	4	9	51	10	12	0	80%	1.9	19.6%	23.5%	-3.9%	0.0%	9.64	4.42	—
2022	21	MIX RAW	2 levels	5	4	9	51	10	12	0	80%	1.9	19.6%	23.5%	-3.9%	0.0%	9.64	4.81	—
2023	22	MIX MLE	2 levels	22	19	89	383	88	57	6	86%	4.0	17.3%	17.2%	0.1%	1.9%	3.84	4.86	—
2023	22	MIX MLE	2 levels	22	19	89	383	88	57	6	86%	4.0	17.3%	17.2%	0.1%	1.9%	3.84	4.86	—
2023	22	MIX RAW	2 levels	22	19	89	383	88	57	6	86%	4.0	23.0%	14.9%	8.1%	1.6%	3.84	3.92	—
2024	23	MIX MLE	2 levels	26	16	90	412	100	51	9	62%	3.5	18.1%	14.5%	3.5%	2.7%	5.18	4.88	—
2024	23	MIX MLE	2 levels	26	16	90	412	100	51	9	62%	3.5	18.1%	14.5%	3.5%	2.7%	5.18	4.88	—
2024	23	MIX RAW	2 levels	26	16	90	412	100	51	9	62%	3.5	24.3%	12.4%	11.9%	2.2%	5.18	3.87	—
2025	24	A MLE	Stockton Ports	25	13	91	410	95	39	11	52%	3.6	17.1%	11.2%	5.9%	3.1%	4.86	4.79	—
2025	24	A MLE	Stockton Ports	25	13	91	410	95	39	11	52%	3.6	17.1%	11.2%	5.9%	3.1%	4.86	4.79	—
2025	24	A RAW	Stockton Ports	25	13	91	410	95	39	11	52%	3.6	23.2%	9.5%	13.7%	2.7%	4.86	3.87	—
▸ 2026 season
YTD	25	A+ MLE	Lansing Lugnuts	34	3	53	239	46	31	9	9%	1.5	14.8%	14.9%	-0.1%	4.7%	4.27	6.32	—
YTD	25	A+ MLE	Lansing Lugnuts	34	3	53	239	46	31	9	9%	1.5	14.8%	14.9%	-0.1%	4.7%	4.27	6.32	—
▸ 2026 season — so far · projected rest · full
2026	25	A+ RAW	OAK	34	3	53	239	46	31	9	9%	1.6	19.2%	13.0%	6.3%	3.8%	4.27	5.18	—
ROS	25	MLB MLE	OAK	6	0	6	25	4	3	1	0%	1.0	16.6%	13.9%	2.7%	3.0%	5.48	5.48	-0.1
2026 TOT	25	MLB MLE	OAK	—	—	59	264	50	34	10	—	—	19.0%	13.1%	5.9%	3.7%	4.39	6.24	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	OAK	78	0	82	345	60	46	10	0%	1.0	17.5%	13.3%	4.2%	3.0%	5.34	5.32	-0.7
2028	27	MLB MLE	OAK	77	0	80	339	61	44	10	0%	1.0	17.8%	12.9%	4.9%	3.0%	5.27	5.28	-0.7
2029	28	MLB MLE	OAK	74	0	78	329	66	40	10	0%	1.1	19.9%	12.0%	7.9%	3.1%	5.11	5.04	-0.4
2030	29	MLB MLE	OAK	71	0	74	315	62	38	10	0%	1.0	19.8%	12.2%	7.6%	3.3%	5.13	5.15	-0.5
2031	30	MLB MLE	OAK	67	0	70	296	57	37	10	0%	1.0	19.4%	12.5%	6.9%	3.5%	5.25	5.33	-0.6
2027	26	MLB CTX	OAK	33	0	35	148	26	20	4	0%	1.1	17.5%	13.3%	4.2%	3.0%	5.34	5.32	-0.3
2028	27	MLB CTX	OAK	49	0	51	215	38	28	7	0%	1.0	17.8%	12.9%	4.9%	3.0%	5.27	5.28	-0.4
2029	28	MLB CTX	OAK	56	0	59	249	50	30	8	0%	1.1	19.9%	12.0%	7.9%	3.1%	5.11	5.04	-0.3
2030	29	MLB CTX	OAK	58	0	61	258	51	31	8	0%	1.1	19.8%	12.2%	7.6%	3.3%	5.13	5.15	-0.4
2031	30	MLB CTX	OAK	57	0	60	253	49	32	9	0%	1.1	19.4%	12.5%	6.9%	3.5%	5.25	5.33	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		252	0	265	1119	213	140	36	0%	1.1	19.0%	12.5%	6.5%	3.2%	5.21	4.84	-0.9
/ 200 IP	—	RAW		190	0	200	844	161	106	27	0%	1.1	19.0%	12.5%	6.5%	3.2%	5.21	4.84	-0.7
Career	—	MLE		128	69	368	1678	283	247	51	54%	2.9	16.9%	14.7%	2.2%	3.0%	5.30	5.21	-1.5
/ 200 IP	—	MLE		70	37	200	911	154	134	28	54%	2.9	16.9%	14.7%	2.2%	3.0%	5.30	5.21	-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
Jose Dicochea (OGILVIE)	—	—	5.48	16.6%	13.9%	3.0%	—	5.22	18.4%	5.6%	240	-0.26	—	—	—
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	84
Paul Clemens R 2015 · 5.37 FIP	27	SP-	5.37	14.3%	14.1%	3.1%	.310	4.62	16.9%	7.3%	200	-0.75	4.58	247	84
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	83
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.74	20.8%	10.5%	175	-0.63	3.11	252	82
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	82
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	82
Mike Franco R 2017 · 4.75 FIP	25	SP-	4.75	17.2%	12.9%	2.7%	.251	4.33	21.9%	12.7%	98	-0.42	3.11	322	81
Raymar Navarro R 2016 · 4.30 FIP	25	SW	4.30	13.1%	11.7%	1.5%	.332	4.29	11.8%	1.0%	41	-0.01	4.29	108	81
Josh White R 2023 · 5.12 FIP	22	SW	5.12	17.7%	13.9%	3.2%	.244	3.19	27.2%	16.7%	182	-1.93	1.90	247	81
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.73	25.0%	14.9%	174	-0.70	2.47	304	81
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Tyler Santana R 2023 · 4.43 FIP	25	SW	4.43	15.4%	10.3%	2.4%	.306	4.90	15.1%	4.9%	191	+0.47	3.37	399	80
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	5.00	17.7%	4.6%	131	-0.27	4.34	382	80
Chance Huff R 2023 · 5.57 FIP	23	SW	5.57	11.8%	11.4%	3.7%	.312	5.08	15.7%	0.2%	155	-0.49	4.31	238	80
Ben Ethridge R 2023 · 4.45 FIP	22	SP-	4.45	14.4%	13.2%	1.7%	.250	6.04	13.0%	2.0%	66	+1.59	4.45	144	79
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	79
Jake Bray R 2018 · 5.37 FIP	25	SP-	5.37	15.4%	11.2%	3.9%	.294	5.65	20.5%	7.7%	61	+0.28	2.51	198	79
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.37	14.7%	3.6%	156	+0.91	4.46	215	78
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	78
Erich Uelmen R 2021 · 5.32 FIP	25	SW	5.32	17.9%	11.0%	4.3%	.267	3.90	19.6%	8.9%	112	-1.42	3.48	383	77

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	2.3	76	18.5%	12.8%	1.22	5.26
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10