Denny Lima

P ACL White Sox

Age 22 RHP 6'0" / 170 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	19	ROKCWS	12	3	20	8.10	4.45	22.6%	10.8%	—	K 15.4% · BB 13.4% · FIP 5.81
2025	20	ROKCWS	10	9	32	5.01	3.72	20.3%	9.1%	—	K 13.8% · BB 11.4% · FIP 4.80
2027PROJ	22	MLBCWS	3	3	17	4.73	4.73	21.0%	10.8%	0.0
2028PROJ49% MLB	23	MLBCWS	3	3	15	4.58	4.51	22.0%	10.0%	0.1

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

Contract

No contract data on file.

CompsChad Donato (age 22) · Ryan Atkinson (age 23) · Ray Gaither (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.73

FIP4.73

K%21.0%

BB%10.8%

K-BB%10.2%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

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 White Sox	13	13	55	225	44	16	4	100%	4.2	13.3%	8.9%	4.4%	2.0%	3.79	4.21	—
2023	18	ROK RAW	DSL White Sox	13	13	55	225	44	16	4	100%	4.2	19.6%	7.1%	12.4%	1.8%	3.79	3.32	—
2024	19	ROK MLE	ACL White Sox	12	3	20	93	21	10	3	25%	1.7	15.4%	13.4%	1.9%	4.2%	8.10	5.81	—
2024	19	ROK MLE	ACL White Sox	12	3	20	93	21	10	3	25%	1.7	15.4%	13.4%	1.9%	4.2%	8.10	5.81	—
2024	19	ROK RAW	ACL White Sox	12	3	20	93	21	10	3	25%	1.7	22.6%	10.8%	11.8%	3.2%	8.10	4.45	—
2025	20	ROK MLE	ACL White Sox	10	9	32	143	29	13	3	90%	3.2	13.8%	11.4%	2.4%	2.6%	5.01	4.80	—
2025	20	ROK MLE	ACL White Sox	10	9	32	143	29	13	3	90%	3.2	13.8%	11.4%	2.4%	2.6%	5.01	4.80	—
2025	20	ROK RAW	ACL White Sox	10	9	32	143	29	13	3	90%	3.2	20.3%	9.1%	11.2%	2.1%	5.01	3.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	CWS	3	3	17	72	15	8	2	100%	5.7	21.0%	10.8%	10.2%	3.0%	4.73	4.73	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CWS	6	6	30	128	28	13	4	100%	5.0	22.0%	10.0%	12.0%	3.0%	4.58	4.51	+0.1
2028	23	MLB CTX	CWS	3	3	15	63	14	6	2	100%	5.0	22.0%	10.0%	12.0%	3.0%	4.58	4.51	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	63	14	6	2	100%	4.9	22.0%	10.0%	12.0%	3.0%	4.58	4.13	+0.1
/ 200 IP	—	RAW		37	37	200	844	189	81	27	100%	5.3	22.0%	10.0%	12.0%	3.0%	4.58	4.13	+1.8
Career	—	MLE		35	25	107	461	64	49	12	71%	3.1	13.9%	10.6%	3.3%	2.6%	4.96	4.72	+0.1
/ 200 IP	—	MLE		65	47	200	862	119	91	23	71%	3.1	13.9%	10.6%	3.3%	2.6%	4.96	4.72	+0.9

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
Denny Lima (OGILVIE)	—	—	4.73	21.0%	10.8%	3.0%	—	4.51	22.0%	12.0%	30	-0.22	—	—	—
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	88
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	85
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	84
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	82
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	82
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	82
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	82
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	81
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	81
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	80
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	80
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	80
Mac Sceroler R 2017 · 4.46 FIP	22	SP-	4.46	17.6%	11.8%	2.5%	.318	4.34	18.4%	10.3%	200	-0.12	3.95	275	80
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	80
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	79
Chris Campos R 2023 · 4.91 FIP	22	SP-	4.91	21.0%	11.8%	3.8%	.364	4.57	18.6%	11.6%	249	-0.34	4.54	318	79
Miguelangel Boadas R 2024 · 3.55 FIP	21	SP-	3.55	20.6%	11.0%	1.4%	.319	—	—	—	—	—	2.64	129	79
Dustin McGowan R 2005 · 4.62 FIP	23	SP-	4.62	16.6%	8.3%	3.4%	.286	3.65	19.1%	10.3%	308	-0.97	3.36	690	78
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	78
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	77