Jose Diaz — OGILVIE

Jose Diaz P FCL Tigers

Age 26 RHP 6'5" / 200 lbs ROK

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

showingROS

wRC+ AGAINSTvL 125117vR 109

ERA4.85

FIP4.85

K%20.8%

BB%11.9%

K-BB%8.9%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†5050

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	18	ROK MLE	DSL Tigers 2	18	0	28	133	25	27	1	0%	1.6	12.8%	25.4%	-12.6%	1.1%	5.40	5.81	—
2018	18	ROK RAW	DSL Tigers 2	18	0	28	133	25	27	1	0%	1.6	18.8%	20.3%	-1.5%	0.8%	5.40	4.65	—
2019	19	ROK MLE	DSL Tigers 2	21	0	32	144	38	12	2	0%	1.5	17.9%	10.4%	7.5%	1.9%	3.94	3.97	—
2019	19	ROK RAW	DSL Tigers 2	21	0	32	144	38	12	2	0%	1.5	26.4%	8.3%	18.1%	1.4%	3.94	2.66	—
2021	21	ROK MLE	FCL Tigers East	13	12	40	186	45	26	3	92%	3.1	16.5%	17.5%	-1.0%	2.5%	6.30	5.27	—
2021	21	ROK RAW	FCL Tigers East	13	12	40	186	45	26	3	92%	3.1	24.2%	14.0%	10.2%	1.6%	6.30	3.78	—
2022	22	MIX MLE	2 levels	21	0	30	122	45	18	3	0%	1.4	23.8%	19.3%	4.5%	4.4%	2.37	5.94	—
2022	22	MIX RAW	2 levels	21	0	30	122	45	18	3	0%	1.4	36.9%	14.8%	22.1%	2.5%	2.37	3.20	—
2023	23	A MLE	Lakeland Flying Tigers	30	0	38	180	40	30	3	0%	1.3	16.4%	19.7%	-3.2%	1.8%	6.34	5.18	—
2023	23	A MLE	Lakeland Flying Tigers	30	0	38	180	40	30	3	0%	1.3	16.4%	19.7%	-3.2%	1.8%	6.34	5.18	—
2023	23	A RAW	Lakeland Flying Tigers	30	0	38	180	40	30	3	0%	1.3	22.2%	16.7%	5.6%	1.7%	6.34	4.38	—
2024	24	ROK MLE	FCL Tigers	17	0	26	113	23	9	1	0%	1.5	13.8%	10.0%	3.9%	1.3%	1.37	3.91	—
2024	24	ROK MLE	FCL Tigers	17	0	26	113	23	9	1	0%	1.5	13.8%	10.0%	3.9%	1.3%	1.37	3.91	—
2024	24	ROK RAW	FCL Tigers	17	0	26	113	23	9	1	0%	1.5	20.4%	8.0%	12.4%	0.9%	1.37	2.87	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	DET	2	0	2	8	2	1	0	0%	1.0	20.8%	11.9%	8.9%	3.0%	4.85	4.85	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	DET	22	0	23	98	21	11	3	0%	1.1	21.0%	11.7%	9.4%	3.0%	4.82	4.83	-0.1
2027	27	MLB CTX	DET	8	0	8	34	7	4	1	0%	1.0	21.0%	11.7%	9.4%	3.0%	4.82	4.83	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	8	36	8	4	1	0%	1.1	21.0%	11.7%	9.4%	3.0%	4.82	4.45	+0.0
/ 200 IP	—	RAW		190	0	200	844	189	94	24	0%	1.1	21.0%	11.7%	9.4%	3.0%	4.82	4.45	+0.2
Career	—	MLE		120	12	195	878	148	151	19	10%	1.6	16.8%	17.3%	-0.4%	2.1%	4.52	5.04	-0.1
/ 200 IP	—	MLE		123	12	200	899	151	155	19	10%	1.6	16.8%	17.3%	-0.4%	2.1%	4.52	5.04	-0.7

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 Diaz (OGILVIE)	—	—	4.85	20.8%	11.9%	3.0%	—	4.83	21.0%	9.4%	23	-0.02	—	—	—
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	299	89
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	85
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.21	22.0%	8.7%	119	-0.35	2.12	165	84
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	84
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	83
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	83
Max Alba R 2023 · 4.47 FIP	24	SU	4.47	20.6%	12.6%	2.7%	.290	5.15	16.7%	9.9%	244	+0.68	4.47	299	83
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	82
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	82
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	82
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	82
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	82
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	81
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	81
Matt Wivinis R 2019 · 3.84 FIP	26	SU	3.84	19.5%	12.2%	1.5%	.262	5.95	14.5%	6.2%	17	+2.11	1.61	124	81
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.07	26.7%	16.7%	73	-0.97	2.28	118	81
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	81
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	80
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.86	25.0%	14.1%	144	-0.48	3.15	191	80