Starlin Savinon

P FCL Rays

Age 22 LHP 6'0" / 182 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Tampa Bay	13	9	41	3.05	2.57	28.4%	11.7%	—	K 19.3% · BB 14.7% · FIP 3.82
2026	21	ROKTB	18	0	26	3.76	2.26	32.2%	15.3%	—	K 21.9% · BB 19.1% · FIP 3.67
2027PROJ	22	MLBTB	43	0	45	5.54	5.54	20.2%	17.5%	-0.5
2028PROJ49% MLB	23	MLBTB	22	0	23	5.26	5.15	21.3%	15.1%	-0.2
2029PROJ70% MLB	24	MLBTB	31	0	33	5.01	4.89	22.0%	13.6%	-0.1

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control30Command40

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsChristian Chamberlain (age 23) · Matt Minnick (age 23) · Jackson Lancaster (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122130vR 138

ERA5.54

FIP5.54

K%20.2%

BB%17.5%

K-BB%2.8%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD4040

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 + 2027 so far)
2023	18	ROK MLE	DSL Rays	15	0	19	96	21	21	2	0%	1.3	14.9%	27.3%	-12.5%	3.1%	7.45	7.01	—
2023	18	ROK RAW	DSL Rays	15	0	19	96	21	21	2	0%	1.3	21.9%	21.9%	0.0%	2.1%	7.45	5.53	—
2024	19	ROK MLE	DSL Rays	16	7	41	163	29	16	1	44%	2.6	12.1%	12.3%	-0.2%	0.7%	3.95	4.04	—
2024	19	ROK MLE	DSL Rays	16	7	41	163	29	16	1	44%	2.6	12.1%	12.3%	-0.2%	0.7%	3.95	4.04	—
2024	19	ROK RAW	DSL Rays	16	7	41	163	29	16	1	44%	2.6	17.8%	9.8%	8.0%	0.6%	3.95	3.17	—
2025	20	ROK MLE	DSL Tampa Bay	13	9	41	162	46	19	1	69%	3.2	19.3%	14.7%	4.6%	0.9%	3.05	3.82	—
2025	20	ROK MLE	DSL Tampa Bay	13	9	41	162	46	19	1	69%	3.2	19.3%	14.7%	4.6%	0.9%	3.05	3.82	—
2025	20	ROK RAW	DSL Tampa Bay	13	9	41	162	46	19	1	69%	3.2	28.4%	11.7%	16.7%	0.6%	3.05	2.57	—
2026	21	ROK MLE	FCL Rays	18	0	26	118	38	18	0	0%	1.5	21.9%	19.1%	2.8%	0.0%	3.76	3.67	—
2026	21	ROK MLE	FCL Rays	18	0	26	118	38	18	0	0%	1.5	21.9%	19.1%	2.8%	0.0%	3.76	3.67	—
2026	21	ROK RAW	FCL Rays	18	0	26	118	38	18	0	0%	1.5	32.2%	15.3%	16.9%	0.0%	3.76	2.26	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	TB	43	0	45	190	38	33	5	0%	1.0	20.2%	17.5%	2.8%	2.8%	5.54	5.54	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	TB	44	0	46	195	42	30	6	0%	1.1	21.3%	15.1%	6.1%	2.8%	5.26	5.15	-0.3
2029	24	MLB MLE	TB	45	0	48	201	44	27	6	0%	1.1	22.0%	13.6%	8.4%	2.8%	5.01	4.89	-0.2
2028	23	MLB CTX	TB	22	0	23	97	21	15	3	0%	1.0	21.3%	15.1%	6.1%	2.8%	5.26	5.15	-0.2
2029	24	MLB CTX	TB	31	0	33	139	31	19	4	0%	1.1	22.0%	13.6%	8.4%	2.8%	5.01	4.89	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	0	56	236	51	34	7	0%	1.1	21.7%	14.2%	7.4%	2.8%	5.11	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	182	122	25	0%	1.1	21.7%	14.2%	7.4%	2.8%	5.11	4.61	-0.1
Career	—	MLE		62	16	128	539	91	92	6	26%	2.1	16.9%	17.2%	-0.3%	1.1%	4.15	4.42	-0.5
/ 200 IP	—	MLE		97	25	200	842	142	145	9	26%	2.1	16.9%	17.2%	-0.3%	1.1%	4.15	4.42	-1.1

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
Starlin Savinon (OGILVIE)	—	—	5.54	20.2%	17.5%	2.8%	—	5.02	21.6%	7.3%	94	-0.52	—	—	—
Christian Chamberlain L 2022 · 6.42 FIP	23	SU	6.42	23.4%	21.7%	4.6%	.330	4.12	24.1%	5.4%	99	-2.30	3.91	148	81
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	81
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	81
Braeden Fausnaught L 2023 · 4.77 FIP	24	SW	4.77	16.9%	16.4%	1.8%	.287	4.60	17.9%	9.7%	179	-0.17	4.43	242	80
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	80
Ty Madrigal L 2021 · 4.56 FIP	24	SU	4.56	19.3%	15.7%	2.0%	.329	5.75	17.6%	2.4%	49	+1.19	4.56	107	80
Brendan Nail L 2019 · 4.88 FIP	23	SU	4.88	23.8%	16.4%	3.1%	.305	3.83	26.2%	15.2%	87	-1.05	3.45	165	79
Jeff Belge L 2021 · 4.91 FIP	23	SU	4.91	24.0%	18.8%	2.7%	.343	3.68	24.2%	10.4%	131	-1.23	3.30	175	79
Austin Hamilton L 2017 · 4.92 FIP	23	SU	4.92	17.0%	15.6%	2.3%	.329	4.20	16.3%	8.9%	109	-0.72	4.02	135	79
Jack O'Loughlin L 2022 · 4.83 FIP	22	SW	4.83	17.0%	13.7%	2.6%	.269	4.76	17.5%	7.2%	239	-0.07	3.78	348	79
Joseph Menefee L 2023 · 4.50 FIP	23	SU	4.50	21.9%	18.5%	1.7%	.361	4.71	24.8%	6.0%	99	+0.21	3.22	146	79
Armando Vasquez L 2023 · 5.15 FIP	22	SU	5.15	21.5%	18.0%	2.9%	.312	6.10	20.8%	2.7%	36	+0.95	4.22	131	79
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	79
Trevor Seidenberger L 2015 · 4.64 FIP	23	SU	4.64	18.1%	14.3%	2.3%	.248	6.29	13.1%	-1.8%	52	+1.65	4.64	101	79
Angel Hernandez L 2022 · 5.53 FIP	22	SU	5.53	23.4%	21.0%	3.2%	.262	4.36	21.2%	1.6%	123	-1.17	3.33	182	79
Felix Polanco L 2022 · 5.19 FIP	22	SU	5.19	18.7%	19.9%	2.1%	.290	3.68	18.8%	12.8%	27	-1.51	3.68	105	79
Julian Bosnic L 2023 · 5.72 FIP	23	SU	5.72	22.5%	21.0%	3.4%	.206	4.74	19.1%	-0.1%	90	-0.98	4.31	136	79
Marino Santy L 2024 · 4.80 FIP	22	SW	4.80	17.6%	16.1%	2.1%	.322	4.51	20.3%	1.1%	82	-0.29	3.91	270	77
Triston Polley L 2021 · 4.88 FIP	24	SU	4.88	22.3%	20.0%	2.1%	.361	4.77	18.5%	5.2%	136	-0.11	4.15	151	77
Bryan King L 2021 · 5.20 FIP	24	SU	5.20	17.4%	17.8%	2.4%	.317	2.82	24.4%	14.9%	77	-2.38	2.41	244	76

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	0.7	46	21.2%	15.4%	1.09	5.26
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*