Cesar Nunez

P ACL White Sox

Age 20 LHP 6'5" / 234 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKCWS	13	1	15	6.75	3.51	29.1%	16.5%	—	K 19.8% · BB 20.6% · FIP 4.92
2026	19	ROKCWS	18	0	21	8.44	6.47	15.8%	20.2%	—	K 10.7% · BB 25.2% · FIP 7.41
2027PROJ	20	MLBCWS	10	0	11	6.02	6.02	19.5%	20.0%	-0.2
2028PROJ49% MLB	21	MLBCWS	10	0	10	5.64	5.50	20.5%	16.8%	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsGregori Louis (age 20) · Jayvien Sandridge (age 20) · Austin Hamilton (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131139vR 147

ERA6.02

FIP6.02

K%19.5%

BB%20.0%

K-BB%-0.5%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 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 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)
2025	18	ROK MLE	DSL White Sox	13	1	15	79	23	13	1	8%	1.1	19.8%	20.6%	-0.8%	1.6%	6.75	4.92	—
2025	18	ROK MLE	DSL White Sox	13	1	15	79	23	13	1	8%	1.1	19.8%	20.6%	-0.8%	1.6%	6.75	4.92	—
2025	18	ROK RAW	DSL White Sox	13	1	15	79	23	13	1	8%	1.1	29.1%	16.5%	12.7%	1.3%	6.75	3.51	—
2026	19	ROK MLE	ACL White Sox	18	0	21	114	18	23	3	0%	1.2	10.7%	25.2%	-14.5%	3.7%	8.44	7.41	—
2026	19	ROK MLE	ACL White Sox	18	0	21	114	18	23	3	0%	1.2	10.7%	25.2%	-14.5%	3.7%	8.44	7.41	—
2026	19	ROK RAW	ACL White Sox	18	0	21	114	18	23	3	0%	1.2	15.8%	20.2%	-4.4%	2.6%	8.44	6.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	CWS	10	0	11	46	9	9	1	0%	1.1	19.5%	20.0%	-0.5%	3.0%	6.02	6.02	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	CWS	19	0	20	85	17	14	3	0%	1.1	20.5%	16.8%	3.6%	2.9%	5.64	5.50	-0.2
2028	21	MLB CTX	CWS	10	0	10	42	9	7	1	0%	1.0	20.5%	16.8%	3.6%	2.9%	5.64	5.50	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	20.5%	16.8%	3.6%	2.9%	5.64	5.12	-0.1
/ 200 IP	—	RAW		190	0	200	844	181	141	20	0%	1.1	20.5%	16.8%	3.6%	2.9%	5.64	5.12	-1.3
Career	—	MLE		31	1	36	193	28	45	5	3%	1.2	14.4%	23.3%	-8.9%	2.8%	7.75	6.39	-0.2
/ 200 IP	—	MLE		172	6	200	1072	155	250	30	3%	1.2	14.4%	23.3%	-8.9%	2.8%	7.75	6.39	-2.2

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
Cesar Nunez (OGILVIE)	—	—	6.02	19.5%	20.0%	3.0%	—	5.50	20.5%	3.6%	20	-0.52	—	—	—
Gregori Louis L 2023 · 6.48 FIP	20	SU	6.48	17.3%	20.4%	4.1%	.241	4.37	19.6%	2.9%	111	-2.11	3.58	149	84
Jayvien Sandridge L 2019 · 6.78 FIP	20	SU	6.78	19.0%	23.9%	4.1%	.324	3.61	27.9%	5.2%	41	-3.17	3.25	223	83
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	81
Yenfri Sosa L 2024 · 6.08 FIP	20	SU	6.08	19.0%	21.3%	3.4%	.309	4.41	21.7%	7.4%	38	-1.67	2.49	128	80
Jordan Norberto L 2010 · 6.32 FIP	23	SU	6.32	16.0%	22.3%	3.2%	.236	3.89	21.7%	12.3%	52	-2.43	3.89	117	79
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	77
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	77
Edison Suriel L 2018 · 6.39 FIP	19	SU	6.39	16.8%	20.5%	3.8%	.341	2.16	21.4%	14.6%	17	-4.23	2.16	159	77
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	76
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	76
Deyer Zapata L 2024 · 5.79 FIP	20	SU	5.79	18.0%	15.3%	4.1%	.319	3.77	16.2%	7.0%	15	-2.02	3.77	130	75
Luis Flores L 2024 · 6.27 FIP	20	SU	6.27	26.2%	26.3%	3.7%	.395	5.39	20.7%	-3.6%	82	-0.88	4.25	130	75
Gerardo Concepción L 2015 · 5.40 FIP	23	SU	5.40	14.0%	18.5%	2.1%	.352	4.53	16.9%	6.5%	60	-0.87	4.53	104	75
Daniel Gonzalez L 2022 · 5.66 FIP	20	SU	5.66	16.3%	14.0%	3.9%	.310	4.44	23.2%	1.7%	55	-1.22	4.34	136	75
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	74
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	74
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	74
Alex Robinson L 2015 · 5.75 FIP	20	SU	5.75	16.2%	31.7%	0.0%	.312	4.45	23.4%	5.2%	123	-1.30	3.69	135	73
Eduardo Solano L 2017 · 5.64 FIP	20	SU	5.64	12.5%	23.9%	1.0%	.310	—	—	—	—	—	4.34	100	73
Ignacio Briceno L 2021 · 5.16 FIP	20	SU	5.16	12.7%	12.9%	2.7%	.230	3.33	17.0%	7.2%	82	-1.83	2.39	156	73