Ronny Oliver

P FCL Cardinals

Age 23 RHP 6'2" / 155 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKSTL	12	8	41	5.27	3.54	19.3%	16.0%	—	K 13.1% · BB 20.1% · FIP 4.53
2025	21	ROKSTL	11	6	31	4.11	2.38	30.3%	11.4%	—	K 20.6% · BB 14.2% · FIP 3.67
2027PROJ	23	MLBSTL	4	4	20	4.99	4.99	21.9%	13.8%	-0.0
2028PROJ43% MLB	24	MLBSTL	2	2	12	4.80	4.72	22.6%	12.3%	0.0

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

Contract

No contract data on file.

CompsRay Gaither (age 24) · Noah Skirrow (age 23) · Daniel Corcino (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.99

FIP4.99

K%21.9%

BB%13.8%

K-BB%8.1%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 IP

Grades · Contract

Scouting Grades

K†5055

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	17	ROK MLE	DSL Cardinals Blue	13	9	32	157	36	27	2	69%	2.5	15.6%	21.5%	-5.9%	1.7%	6.40	5.46	—
2021	17	ROK RAW	DSL Cardinals Blue	13	9	32	157	36	27	2	69%	2.5	22.9%	17.2%	5.7%	1.3%	6.40	4.18	—
2022	18	ROK MLE	DSL Cardinals	11	7	33	148	30	18	4	64%	3.0	13.8%	15.2%	-1.4%	3.6%	6.27	5.86	—
2022	18	ROK RAW	DSL Cardinals	11	7	33	148	30	18	4	64%	3.0	20.3%	12.2%	8.1%	2.7%	6.27	4.49	—
2023	19	ROK MLE	DSL Cardinals	11	6	30	149	34	20	1	55%	2.8	15.5%	16.8%	-1.3%	1.0%	4.15	4.47	—
2023	19	ROK RAW	DSL Cardinals	11	6	30	149	34	20	1	55%	2.8	22.8%	13.4%	9.4%	0.7%	4.15	3.26	—
2024	20	ROK MLE	FCL Cardinals	12	8	41	187	36	30	0	67%	3.4	13.1%	20.1%	-7.0%	0.0%	5.27	4.53	—
2024	20	ROK MLE	FCL Cardinals	12	8	41	187	36	30	0	67%	3.4	13.1%	20.1%	-7.0%	0.0%	5.27	4.53	—
2024	20	ROK RAW	FCL Cardinals	12	8	41	187	36	30	0	67%	3.4	19.3%	16.0%	3.2%	0.0%	5.27	3.54	—
2025	21	ROK MLE	FCL Cardinals	11	6	31	132	40	15	1	55%	2.8	20.6%	14.2%	6.4%	0.9%	4.11	3.67	—
2025	21	ROK MLE	FCL Cardinals	11	6	31	132	40	15	1	55%	2.8	20.6%	14.2%	6.4%	0.9%	4.11	3.67	—
2025	21	ROK RAW	FCL Cardinals	11	6	31	132	40	15	1	55%	2.8	30.3%	11.4%	18.9%	0.8%	4.11	2.38	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	STL	4	4	20	84	19	12	2	100%	5.0	21.9%	13.8%	8.1%	2.9%	4.99	4.99	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	STL	5	5	28	119	27	15	3	100%	5.7	22.6%	12.3%	10.4%	2.9%	4.80	4.72	+0.1
2028	24	MLB CTX	STL	2	2	12	51	11	6	1	100%	6.0	22.6%	12.3%	10.4%	2.9%	4.80	4.72	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	12	51	12	6	1	100%	6.0	22.6%	12.3%	10.4%	2.9%	4.80	4.34	+0.1
/ 200 IP	—	RAW		36	36	200	844	198	99	17	100%	5.6	22.6%	12.3%	10.4%	2.9%	4.80	4.34	+1.3
Career	—	MLE		58	36	167	773	120	138	11	62%	2.9	15.5%	17.8%	-2.3%	1.4%	5.27	4.81	+0.1
/ 200 IP	—	MLE		69	43	200	924	143	164	13	62%	2.9	15.5%	17.8%	-2.3%	1.4%	5.27	4.81	+0.4

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
Ronny Oliver (OGILVIE)	—	—	4.99	21.9%	13.8%	2.9%	—	4.72	22.6%	10.4%	28	-0.27	—	—	—
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	90
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	82
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
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	80
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	80
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	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	79
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	79
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.10	25.7%	15.7%	121	-0.41	3.26	181	79
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	79
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	78
Michael Knorr R 2023 · 4.30 FIP	23	SP-	4.30	23.6%	11.1%	3.3%	.312	5.15	22.0%	9.5%	123	+0.85	4.30	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
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	78
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.80	25.1%	15.0%	175	-0.63	2.47	305	77
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	77
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	77
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	76
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	76
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	76