Daniel Nunez

P Visalia Rawhide

Age 24 RHP 6'0" / 195 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX2 levels	23	11	72	3.48	2.10	27.0%	4.6%	—	K 19.0% · BB 5.1% · FIP 2.83
2025	22	A+ARI	24	15	78	6.58	4.83	15.7%	8.5%	—	K 12.1% · BB 9.8% · FIP 5.66
2026	23	MIX2 levels	27	0	36	5.45	6.07	19.9%	8.7%	—	K 13.7% · BB 10.2% · FIP 7.95
2027PROJ	24	MLBARI	54	0	57	5.85	5.85	11.7%	11.3%	-0.8
2028PROJ43% MLB	25	MLBARI	29	0	30	5.61	5.56	14.2%	11.0%	-0.3
2029PROJ66% MLB	26	MLBARI	45	0	47	5.45	5.40	15.6%	10.8%	-0.4

Next 3 projected WAR -1.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control45Command30

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsKevin Johnson (age 24) · Cooper Adams (age 24) · Wirkin Estevez (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.85

FIP5.85

K%11.7%

BB%11.3%

K-BB%0.4%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4545

CMD3030

K†3040

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)
2024	21	MIX MLE	2 levels	23	11	72	307	83	14	4	48%	3.1	19.0%	5.1%	14.0%	1.3%	3.48	2.83	—
2024	21	MIX MLE	2 levels	23	11	72	307	83	14	4	48%	3.1	19.0%	5.1%	14.0%	1.3%	3.48	2.83	—
2024	21	MIX RAW	2 levels	23	11	72	307	83	14	4	48%	3.1	27.0%	4.6%	22.5%	1.3%	3.48	2.10	—
2025	22	A+ MLE	Hillsboro Hops	24	15	78	364	57	31	12	62%	3.2	12.1%	9.8%	2.3%	4.3%	6.58	5.66	—
2025	22	A+ MLE	Hillsboro Hops	24	15	78	364	57	31	12	62%	3.2	12.1%	9.8%	2.3%	4.3%	6.58	5.66	—
2025	22	A+ RAW	Hillsboro Hops	24	15	78	364	57	31	12	62%	3.2	15.7%	8.5%	7.1%	3.3%	6.58	4.83	—
2026	23	MIX MLE	2 levels	27	0	36	161	32	14	10	0%	1.3	13.7%	10.2%	3.6%	8.6%	5.45	7.95	—
2026	23	MIX MLE	2 levels	27	0	36	161	32	14	10	0%	1.3	13.7%	10.2%	3.6%	8.6%	5.45	7.95	—
2026	23	MIX RAW	2 levels	27	0	36	161	32	14	10	0%	1.3	19.9%	8.7%	11.2%	6.2%	5.45	6.07	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	ARI	54	0	57	241	28	27	8	0%	1.1	11.7%	11.3%	0.4%	3.5%	5.85	5.85	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	ARI	68	0	71	300	43	33	10	0%	1.0	14.2%	11.0%	3.2%	3.4%	5.61	5.56	-0.8
2029	26	MLB MLE	ARI	68	0	71	300	47	33	10	0%	1.0	15.6%	10.8%	4.8%	3.4%	5.45	5.40	-0.7
2030	27	MLB MLE	ARI	67	0	70	296	47	32	10	0%	1.0	16.0%	10.8%	5.2%	3.4%	5.39	5.38	-0.6
2031	28	MLB MLE	ARI	65	0	68	287	46	31	10	0%	1.0	16.1%	10.9%	5.2%	3.5%	5.41	5.44	-0.7
2032	29	MLB MLE	ARI	62	0	65	274	43	31	10	0%	1.0	15.8%	11.2%	4.7%	3.7%	5.51	5.57	-0.7
2028	25	MLB CTX	ARI	29	0	30	127	18	14	4	0%	1.0	14.2%	11.0%	3.2%	3.4%	5.61	5.56	-0.3
2029	26	MLB CTX	ARI	45	0	47	198	31	21	7	0%	1.0	15.6%	10.8%	4.8%	3.4%	5.45	5.40	-0.4
2030	27	MLB CTX	ARI	51	0	54	228	37	25	8	0%	1.1	16.0%	10.8%	5.2%	3.4%	5.39	5.38	-0.5
2031	28	MLB CTX	ARI	54	0	57	241	39	26	8	0%	1.1	16.1%	10.9%	5.2%	3.5%	5.41	5.44	-0.5
2032	29	MLB CTX	ARI	54	0	57	241	38	27	9	0%	1.1	15.8%	11.2%	4.7%	3.7%	5.51	5.57	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		234	0	245	1036	163	113	36	0%	1.0	15.7%	10.9%	4.7%	3.5%	5.46	5.08	-1.5
/ 200 IP	—	RAW		190	0	200	844	133	92	29	0%	1.1	15.7%	10.9%	4.7%	3.5%	5.46	5.08	-1.3
Career	—	MLE		74	26	187	832	124	68	33	35%	2.5	15.0%	8.1%	6.8%	4.0%	5.16	5.06	-3.6
/ 200 IP	—	MLE		79	28	200	891	133	72	36	35%	2.5	15.0%	8.1%	6.8%	4.0%	5.16	5.06	-2.1

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
Daniel Nunez (OGILVIE)	—	—	5.85	11.7%	11.3%	3.5%	—	5.45	15.3%	4.4%	212	-0.40	—	—	—
Kevin Johnson R 2015 · 4.69 FIP	24	SW	4.69	11.0%	8.5%	2.6%	.302	5.52	9.9%	-2.0%	26	+0.83	4.69	106	86
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	85
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	85
Matt Roney R 2003 · 5.54 FIP	23	SW	5.54	10.5%	9.8%	3.8%	.249	—	—	—	—	—	5.54	101	83
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	83
Chad Jenkins R 2012 · 5.06 FIP	24	SW	5.06	11.8%	7.4%	3.7%	.257	3.56	12.8%	7.6%	159	-1.50	3.26	220	82
Daniel Concepcion R 2016 · 5.87 FIP	22	SW	5.87	13.0%	10.6%	4.6%	.271	—	—	—	—	—	3.84	110	82
Ryan Vogelsong R 2001 · 5.34 FIP	24	SU	5.34	14.6%	11.6%	3.7%	.287	4.78	14.9%	5.7%	155	-0.56	3.14	1,184	82
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	81
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	81
Brady Dragmire R 2017 · 4.78 FIP	24	SU	4.78	8.9%	9.4%	2.3%	.304	4.38	11.9%	5.8%	173	-0.40	3.05	391	80
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	80
Johendí Jiminian R 2017 · 5.70 FIP	24	SU	5.70	11.5%	14.0%	3.3%	.300	4.77	13.9%	3.6%	164	-0.93	4.01	419	80
James Pugliese R 2017 · 4.72 FIP	24	SW	4.72	12.5%	11.6%	2.2%	.226	—	—	—	—	—	2.52	218	80
Dylan Spacke R 2022 · 5.24 FIP	24	SU	5.24	16.1%	13.9%	3.2%	.297	4.79	13.6%	0.2%	52	-0.45	2.08	205	79
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	79
Raul Carrillo R 2016 · 4.86 FIP	24	SW	4.86	13.4%	8.2%	3.4%	.295	4.50	12.2%	3.5%	246	-0.36	4.40	348	79
Ross Ohlendorf R 2008 · 4.73 FIP	25	SW	4.73	16.3%	9.3%	3.3%	.357	4.63	15.4%	7.7%	324	-0.10	3.30	617	79
Kender Villegas R 2017 · 4.70 FIP	24	SU	4.70	13.3%	13.3%	1.9%	.269	—	—	—	—	—	3.26	131	78
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	78

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	2.0	67	15.0%	11.0%	1.35	5.53
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Lance Cormier ('11)	2.3	67	13.0%	10.7%	1.25	5.07
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Darrel Akerfelds ('86-'91, -3 WAR*)	1.2	78	15.8%*	11.9%*	1.61*	5.40*
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*