Randel Clemente

P Springfield Cardinals

Age 25 RHP 6'4" / 173 lbs AA

Overview

AAPROSPECTFG #985

ETA2028FG ETA2026MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	39	48	6.14	3.43	36.2%	22.6%	—	K 25.6% · BB 27.3% · FIP 5.02
2025	23	MIX3 levels	39	53	4.25	3.23	32.8%	17.2%	—	K 25.0% · BB 21.0% · FIP 4.71
2026	24	AASTL	43	49	5.29	3.42	40.7%	19.9%	—	K 33.0% · BB 21.9% · FIP 4.55
2027PROJ	25	MLBSTL	57	60	4.72	4.72	33.5%	20.0%	-0.1
2028PROJ44% MLB	26	MLBSTL	25	26	4.66	4.65	32.7%	18.9%	-0.0
2029PROJ63% MLB	27	MLBSTL	35	37	4.65	4.66	32.0%	18.2%	-0.0

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff70Command30FB velo60

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 97%

CompsEric Reyzelman (age 23) · Conor Grammes (age 25) · Justin Yeager (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.72

FIP4.72

K%33.5%

BB%20.0%

K-BB%13.5%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF7070

CMD2030

K†7070

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)
2021	19	ROK MLE	DSL Cardinals Blue	17	5	33	167	35	29	3	29%	2.0	14.3%	21.7%	-7.5%	2.4%	4.86	5.99	—
2021	19	ROK RAW	DSL Cardinals Blue	17	5	33	167	35	29	3	29%	2.0	21.0%	17.4%	3.6%	1.8%	4.86	4.78	—
2022	20	ROK MLE	FCL Cardinals	18	0	21	106	24	13	0	0%	1.2	15.4%	15.3%	0.1%	0.0%	9.00	3.74	—
2022	20	ROK RAW	FCL Cardinals	18	0	21	106	24	13	0	0%	1.2	22.6%	12.3%	10.4%	0.0%	9.00	2.67	—
2023	21	ROK MLE	FCL Cardinals	19	0	19	85	24	16	0	0%	1.0	19.2%	23.5%	-4.3%	0.0%	4.34	4.46	—
2023	21	ROK RAW	FCL Cardinals	19	0	19	85	24	16	0	0%	1.0	28.2%	18.8%	9.4%	0.0%	4.34	3.10	—
2024	22	MIX MLE	2 levels	39	0	48	221	80	50	2	0%	1.2	25.6%	27.3%	-1.7%	1.1%	6.14	5.02	—
2024	22	MIX MLE	2 levels	39	0	48	221	80	50	2	0%	1.2	25.6%	27.3%	-1.7%	1.1%	6.14	5.02	—
2024	22	MIX RAW	2 levels	39	0	48	221	80	50	2	0%	1.2	36.2%	22.6%	13.6%	0.9%	6.14	3.43	—
2025	23	MIX MLE	3 levels	39	0	53	232	76	40	3	0%	1.4	25.0%	21.0%	3.9%	1.9%	4.25	4.71	—
2025	23	MIX MLE	3 levels	39	0	53	232	76	40	3	0%	1.4	25.0%	21.0%	3.9%	1.9%	4.25	4.71	—
2025	23	MIX RAW	3 levels	39	0	53	232	76	40	3	0%	1.4	32.8%	17.2%	15.5%	1.3%	4.25	3.23	—
2026	24	AA MLE	Springfield Cardinals	43	0	49	226	92	45	5	0%	1.1	33.0%	21.9%	11.1%	2.7%	5.29	4.55	—
2026	24	AA MLE	Springfield Cardinals	43	0	49	226	92	45	5	0%	1.1	33.0%	21.9%	11.1%	2.7%	5.29	4.55	—
2026	24	AA RAW	Springfield Cardinals	43	0	49	226	92	45	5	0%	1.1	40.7%	19.9%	20.8%	2.2%	5.29	3.42	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	STL	57	0	60	253	85	51	7	0%	1.1	33.5%	20.0%	13.5%	2.8%	4.72	4.72	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	STL	57	0	60	251	82	47	7	0%	1.0	32.7%	18.9%	13.8%	2.8%	4.66	4.65	-0.1
2029	27	MLB MLE	STL	56	0	59	247	79	45	7	0%	1.0	32.0%	18.2%	13.8%	2.9%	4.65	4.66	-0.1
2028	26	MLB CTX	STL	25	0	26	110	36	21	3	0%	1.0	32.7%	18.9%	13.8%	2.8%	4.66	4.65	-0.0
2029	27	MLB CTX	STL	35	0	37	156	50	28	4	0%	1.1	32.0%	18.2%	13.8%	2.9%	4.65	4.66	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	267	86	49	8	0%	1.1	32.3%	18.5%	13.8%	2.9%	4.65	4.28	+0.2
/ 200 IP	—	RAW		190	0	200	844	272	155	25	0%	1.1	32.3%	18.5%	13.8%	2.9%	4.65	4.28	+0.6
Career	—	MLE		175	5	224	1037	246	231	17	3%	1.3	23.7%	22.3%	1.4%	1.6%	5.43	4.83	-0.1
/ 200 IP	—	MLE		156	4	200	927	220	207	15	3%	1.3	23.7%	22.3%	1.4%	1.6%	5.43	4.83	-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
Randel Clemente (OGILVIE)	—	—	4.72	33.5%	20.0%	2.8%	—	4.65	32.4%	13.8%	118	-0.07	—	—	—
Eric Reyzelman R 2024 · 3.81 FIP	23	SU	3.81	30.3%	15.6%	2.4%	.261	4.78	24.5%	8.6%	94	+0.97	3.81	117	81
Conor Grammes R 2022 · 4.64 FIP	25	SU	4.64	28.6%	16.8%	3.3%	.293	4.52	20.8%	1.1%	128	-0.12	4.11	171	80
Justin Yeager R 2022 · 4.58 FIP	24	SU	4.58	29.6%	15.8%	3.6%	.230	3.38	19.6%	9.2%	108	-1.20	3.32	265	79
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	79
Jose De La Torre R 2013 · 5.22 FIP	27	SU	5.22	28.3%	18.9%	3.9%	.308	3.87	17.6%	6.6%	110	-1.35	2.64	141	75
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	74
Argenis Angulo R 2019 · 4.09 FIP	25	SU	4.09	27.6%	13.4%	2.9%	.263	6.43	21.0%	5.6%	58	+2.34	3.03	245	74
Magnus Ellerts R 2024 · 3.56 FIP	23	SU	3.56	28.1%	13.7%	2.0%	.284	4.28	25.9%	6.8%	64	+0.72	3.56	161	73
Zac Leigh R 2023 · 3.84 FIP	25	SU	3.84	28.1%	11.7%	3.0%	.282	4.56	20.2%	4.0%	131	+0.72	3.70	201	73
Jace Beck R 2023 · 4.77 FIP	23	SU	4.77	29.7%	22.5%	2.4%	.373	4.17	27.0%	14.5%	144	-0.60	4.03	216	73
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	72
Johnathan Lavallee R 2024 · 3.72 FIP	24	SU	3.72	26.2%	14.9%	1.7%	.245	4.50	21.2%	8.8%	95	+0.78	3.72	210	72
Matt Blackham R 2018 · 3.93 FIP	25	SU	3.93	24.9%	15.7%	1.7%	.236	4.81	25.9%	12.0%	80	+0.88	2.08	187	72
Michael Stryffeler R 2021 · 4.41 FIP	25	SU	4.41	31.6%	21.8%	2.2%	.150	4.24	30.4%	13.1%	52	-0.17	2.43	140	71
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	71
Ray Black R 2015 · 4.58 FIP	25	SW	4.58	35.1%	25.7%	2.2%	.324	3.42	34.9%	19.6%	80	-1.16	2.95	150	71
Eric Orze R 2023 · 3.98 FIP	25	SU	3.98	25.6%	13.6%	2.4%	.319	3.57	24.1%	14.8%	196	-0.41	3.33	354	71
Tanner Rainey R 2018 · 3.54 FIP	25	SU	3.54	27.6%	17.2%	1.1%	.217	3.93	34.1%	19.3%	118	+0.39	2.63	563	71
Colin McKee R 2019 · 4.18 FIP	25	SU	4.18	26.6%	15.7%	2.4%	.171	4.55	25.9%	10.3%	53	+0.37	4.18	148	71
Zac Ryan R 2019 · 3.85 FIP	25	SU	3.85	25.4%	15.3%	1.8%	.266	5.82	22.4%	6.6%	31	+1.97	3.83	184	71

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.9	59	32.8%	19.0%	1.09	4.68
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Matt Mantei ('05)	1.6	54	28.0%	14.1%	0.84	4.07
Carlos Marmol ('14)	2.9	72	29.5%	15.7%	0.76	3.57
Ryne Duren ('54-'65, 4 WAR*)	2.9	65	34.5%*	14.6%*	0.75*	4.32*
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*