Jharold Clemente

P FCL Rays

Age 24 RHP 5'10" / 200 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	ROKTB	14	11	54	4.14	3.04	23.1%	5.3%	—	K 15.7% · BB 6.7% · FIP 4.09
2025	22	ROKTB	12	6	38	4.54	4.85	14.5%	9.8%	—	K 9.8% · BB 12.3% · FIP 6.57
2027PROJ	24	MLBTB	—	—	0	4.80	4.80	19.5%	10.2%	—
2028PROJ43% MLB	25	MLBTB	2	2	14	4.68	4.64	20.5%	9.7%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsAndrew Quezada (age 24) · Ray Gaither (age 24) · Tanner Hall (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.80

FIP4.80

K%19.5%

BB%10.2%

K-BB%9.3%

Proj IP25

Value2027 · WAR

Runs saved vs league avg · 25 IP

Grades · Contract

Scouting Grades

K†4550

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 the standard WAR scale.

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)
2023	20	ROK MLE	DSL Rays	8	7	24	101	26	11	2	88%	3.0	17.5%	13.6%	3.9%	3.0%	3.04	4.97	—
2023	20	ROK RAW	DSL Rays	8	7	24	101	26	11	2	88%	3.0	25.7%	10.9%	14.9%	2.0%	3.04	3.40	—
2024	21	ROK MLE	DSL Rays	14	11	54	225	52	12	5	79%	3.9	15.7%	6.7%	9.0%	2.7%	4.14	4.09	—
2024	21	ROK MLE	DSL Rays	14	11	54	225	52	12	5	79%	3.9	15.7%	6.7%	9.0%	2.7%	4.14	4.09	—
2024	21	ROK RAW	DSL Rays	14	11	54	225	52	12	5	79%	3.9	23.1%	5.3%	17.8%	2.2%	4.14	3.04	—
2025	22	ROK MLE	FCL Rays	12	6	38	173	25	17	5	50%	3.1	9.8%	12.3%	-2.5%	5.0%	4.54	6.57	—
2025	22	ROK MLE	FCL Rays	12	6	38	173	25	17	5	50%	3.1	9.8%	12.3%	-2.5%	5.0%	4.54	6.57	—
2025	22	ROK RAW	FCL Rays	12	6	38	173	25	17	5	50%	3.1	14.5%	9.8%	4.6%	2.9%	4.54	4.85	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	TB	—	—	0	—	—	—	—	—	—	19.5%	10.2%	9.3%	3.0%	4.80	4.80	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	TB	5	5	32	134	27	13	4	100%	6.3	20.5%	9.7%	10.8%	3.0%	4.68	4.64	+0.3
2028	25	MLB CTX	TB	2	2	14	59	12	6	2	100%	7.0	20.5%	9.7%	10.8%	3.0%	4.68	4.64	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	14	57	12	6	2	100%	6.8	20.5%	9.7%	10.8%	3.0%	4.68	4.26	+0.2
/ 200 IP	—	RAW		34	34	200	844	177	89	30	100%	5.9	20.5%	9.7%	10.8%	3.0%	4.68	4.26	+2.7
Career	—	MLE		34	24	116	499	70	50	18	71%	3.4	14.0%	10.0%	4.0%	3.5%	4.05	5.13	+0.3
/ 200 IP	—	MLE		59	41	200	863	121	86	31	71%	3.4	14.0%	10.0%	4.0%	3.5%	4.05	5.13	+1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 ROKFCL Rays · 38 IPFIP 4.71 → 6.57 (+1.86)K% 14.5% → 9.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.45%	—	×0.680	9.83%
BB% (unintentional) /BF	9.83%	—	×1.250	12.28%
HR / BF /BF	2.89%	÷0.809	×1.400	5.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 62).

Result: FIP 4.71 → 6.57, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKDSL Rays · 54 IPFIP 3.04 → 4.09 (+1.05)K% 23.1% → 15.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.11%	—	×0.680	15.72%
BB% (unintentional) /BF	5.33%	—	×1.250	6.67%
HR / BF /BF	2.22%	÷1.160	×1.400	2.68%

Result: FIP 3.04 → 4.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKDSL Rays · 24 IPFIP 3.39 → 4.97 (+1.58)K% 25.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.74%	—	×0.680	17.50%
BB% (unintentional) /BF	10.89%	—	×1.250	13.61%
HR / BF /BF	1.98%	÷0.938	×1.400	2.96%

Result: FIP 3.39 → 4.97, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Jharold Clemente (OGILVIE)	—	—	4.80	19.5%	10.2%	3.0%	—	4.64	20.5%	10.8%	32	-0.16	—	—	—
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	90
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	85
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	84
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	84
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	83
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	83
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	81
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	81
Angel Guzman R 2006 · 4.73 FIP	24	SP-	4.73	22.1%	13.2%	3.3%	.353	3.88	19.6%	12.0%	91	-0.85	3.13	147	80
Blair Henley R 2021 · 5.02 FIP	24	SP-	5.02	20.8%	12.2%	3.9%	.450	4.51	17.7%	5.4%	170	-0.51	3.97	187	80
Jake Lee R 2019 · 4.65 FIP	24	SP-	4.65	25.7%	12.4%	3.9%	.296	3.52	18.7%	10.3%	40	-1.13	2.78	181	78
Lisalverto Bonilla R 2014 · 4.32 FIP	24	SP-	4.32	20.5%	13.3%	2.3%	.208	3.88	19.8%	10.2%	210	-0.44	3.22	242	78
TJ Nichols R 2024 · 3.71 FIP	22	SP-	3.71	17.0%	9.0%	1.6%	.310	5.34	20.9%	12.4%	223	+1.63	3.71	295	77
Michael Knorr R 2024 · 5.56 FIP	24	SP-	5.56	21.6%	12.5%	4.9%	.314	4.95	22.3%	9.7%	83	-0.61	4.30	181	77
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	77
Cha Seung Baek R 2004 · 4.77 FIP	24	SP-	4.77	14.4%	7.2%	3.6%	.288	3.95	15.7%	10.0%	108	-0.82	3.35	280	76
Nick Payero R 2024 · 4.21 FIP	24	SP-	4.21	16.5%	6.3%	3.1%	.285	5.81	16.6%	4.6%	107	+1.60	4.21	178	76
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	76
Tim Redding R 2002 · 4.40 FIP	24	SP-	4.40	19.4%	9.8%	3.1%	.309	4.48	13.8%	5.4%	307	+0.08	3.97	822	76
Rafael Montero R 2014 · 5.04 FIP	23	SP-	5.04	21.6%	11.9%	4.1%	.298	4.32	19.3%	8.2%	296	-0.72	2.43	714	75

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	28	20.0%	9.9%	1.17	4.73
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*