Jose Diaz

P FCL Tigers

Age 27 RHP 6'5" / 200 lbs ROK

Overview

ROKPROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	22	MIX2 levels	21	30	2.37	3.20	36.9%	14.8%	—	K 23.8% · BB 19.3% · FIP 5.94
2023	23	ADET	30	38	6.34	4.38	22.2%	16.7%	—	K 16.4% · BB 19.7% · FIP 5.18
2024	24	ROKDET	17	26	1.37	2.87	20.4%	8.0%	—	K 13.8% · BB 10.0% · FIP 3.91
2027PROJ	27	MLBDET	15	16	4.39	4.39	22.7%	9.4%	0.0
2028PROJ36% MLB	28	MLBDET	7	7	4.44	4.47	22.7%	9.5%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsC.C. Lee (age 27) · Fernando Rodriguez Jr. (age 27) · Tom Wilhelmsen (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117108vR 100

ERA4.39

FIP4.39

K%22.7%

BB%9.4%

K-BB%13.3%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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 + 2027 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 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	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	DET	15	0	16	68	15	6	2	0%	1.1	22.7%	9.4%	13.3%	3.0%	4.39	4.39	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	DET	19	0	20	84	19	8	3	0%	1.1	22.7%	9.5%	13.1%	3.1%	4.44	4.47	+0.0
2028	28	MLB CTX	DET	7	0	7	30	7	3	1	0%	1.0	22.7%	9.5%	13.1%	3.1%	4.44	4.47	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	3	1	0%	1.0	22.7%	9.5%	13.1%	3.1%	4.44	4.09	+0.0
/ 200 IP	—	RAW		190	0	200	844	193	83	28	0%	1.1	22.7%	9.5%	13.1%	3.1%	4.44	4.09	+1.1
Career	—	MLE		120	12	195	878	148	151	19	10%	1.6	16.8%	17.3%	-0.4%	2.1%	4.52	5.04	+0.0
/ 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	+0.2

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
Jose Diaz (OGILVIE)	—	—	4.39	22.7%	9.4%	3.0%	—	4.47	22.7%	13.1%	20	+0.08	—	—	—
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	83
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	83
Tom Wilhelmsen R 2011 · 3.28 FIP	27	SU	3.28	22.1%	9.6%	1.5%	.253	3.18	22.9%	13.4%	218	-0.10	2.72	398	83
Josh Lueke R 2011 · 3.24 FIP	26	SU	3.24	20.4%	8.5%	1.4%	.323	4.75	18.7%	12.4%	52	+1.51	2.29	191	82
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	82
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	82
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	81
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	81
Michael Dimock R 2017 · 4.12 FIP	27	SU	4.12	18.9%	7.8%	2.9%	.339	3.37	23.5%	12.8%	29	-0.75	3.08	166	81
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	81
Brian Sanches R 2006 · 5.30 FIP	27	SU	5.30	22.4%	10.2%	5.1%	.295	4.52	19.0%	10.1%	82	-0.78	3.39	229	81
Brad Deppermann R 2023 · 4.25 FIP	27	SU	4.25	22.7%	9.4%	3.4%	.417	2.87	19.5%	13.2%	71	-1.38	1.94	143	81
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	81
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	81
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	81
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	80
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	80
Jack Hartman R 2024 · 4.34 FIP	26	SU	4.34	20.9%	8.8%	3.4%	.310	4.29	17.6%	5.6%	46	-0.05	3.46	161	80
Anthony Varvaro R 2012 · 3.66 FIP	27	SU	3.66	27.6%	10.5%	2.8%	.311	3.30	17.7%	11.0%	139	-0.36	3.02	208	80