Enniel Cortez

P Wilson Warbirds

Age 21 RHP 6'0" / 180 lbs A peak 0.1 · 2028

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	17	ROKDSL Brewers 1	11	8	46	1.58	1.57	27.8%	2.8%	—	K 18.9% · BB 3.6% · FIP 2.38
2024	18	MIX2 levels	13	11	48	5.44	3.41	24.1%	6.1%	—	K 17.0% · BB 7.3% · FIP 4.66
2026	20	AMIL	14	8	37	7.47	5.40	18.2%	13.6%	—	K 13.5% · BB 16.1% · FIP 6.43
2027PROJ	21	MLBMIL	—	—	0	5.45	5.45	17.5%	13.6%	—
2028PROJ49% MLB	22	MLBMIL	3	3	15	5.15	5.02	19.5%	11.9%	0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.1 / P90 0.9, comp-based) · star 2% · didn't stick 91%

CompsAbel Brito (age 21) · Luis Hernandez (age 21) · Luis Mora (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 120

ERA5.45

FIP5.45

K%17.5%

BB%13.6%

K-BB%3.9%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Contract

Scouting Grades

K†4045

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 the standard WAR scale.

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	17	ROK MLE	DSL Brewers 1	11	8	46	176	49	5	1	73%	4.2	18.9%	3.6%	15.4%	0.8%	1.58	2.38	—
2023	17	ROK RAW	DSL Brewers 1	11	8	46	176	49	5	1	73%	4.2	27.8%	2.8%	25.0%	0.6%	1.58	1.57	—
2024	18	MIX MLE	2 levels	13	11	48	212	51	13	6	85%	3.7	17.0%	7.3%	9.7%	3.8%	5.44	4.66	—
2024	18	MIX MLE	2 levels	13	11	48	212	51	13	6	85%	3.7	17.0%	7.3%	9.7%	3.8%	5.44	4.66	—
2024	18	MIX RAW	2 levels	13	11	48	212	51	13	6	85%	3.7	24.1%	6.1%	17.9%	2.8%	5.44	3.41	—
2026	20	A MLE	Wilson Warbirds	14	8	37	176	32	24	6	57%	2.7	13.5%	16.1%	-2.6%	4.4%	7.47	6.43	—
2026	20	A MLE	Wilson Warbirds	14	8	37	176	32	24	6	57%	2.7	13.5%	16.1%	-2.6%	4.4%	7.47	6.43	—
2026	20	A RAW	Wilson Warbirds	14	8	37	176	32	24	6	57%	2.7	18.2%	13.6%	4.5%	3.4%	7.47	5.40	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	MIL	—	—	0	—	—	—	—	—	—	17.5%	13.6%	3.9%	3.1%	5.45	5.45	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	MIL	6	6	30	128	25	15	4	100%	5.0	19.5%	11.9%	7.6%	3.1%	5.15	5.02	+0.1
2028	22	MLB CTX	MIL	3	3	15	63	12	8	2	100%	5.0	19.5%	11.9%	7.6%	3.1%	5.15	5.02	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	63	12	7	2	100%	4.9	19.5%	11.9%	7.6%	3.1%	5.15	4.64	+0.1
/ 200 IP	—	RAW		39	39	200	844	162	94	27	100%	5.1	19.5%	11.9%	7.6%	3.1%	5.15	4.64	+1.7
Career	—	MLE		38	27	131	564	93	50	17	71%	3.4	16.5%	8.9%	7.6%	3.0%	4.67	4.50	+0.1
/ 200 IP	—	MLE		58	41	200	861	142	77	26	71%	3.4	16.5%	8.9%	7.6%	3.0%	4.67	4.50	+0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AWilson Warbirds · 37 IPFIP 5.16 → 6.43 (+1.27)K% 18.2% → 13.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.18%	—	×0.740	13.45%
BB% (unintentional) /BF	13.64%	—	×1.180	16.09%
HR / BF /BF	3.41%	÷1.000	×1.300	4.43%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 5.16 → 6.43, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKACL Brewers · 24 IPFIP 2.86 → 4.37 (+1.51)K% 25.2% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.23%	—	×0.680	17.16%
BB% (unintentional) /BF	2.80%	—	×1.250	3.50%
HR / BF /BF	2.80%	÷0.947	×1.400	4.14%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 2.86 → 4.37, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ACarolina Mudcats · 24 IPFIP 3.94 → 4.95 (+1.00)K% 22.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.86%	—	×0.740	16.91%
BB% (unintentional) /BF	9.52%	—	×1.180	11.24%
HR / BF /BF	2.86%	÷1.101	×1.300	3.37%

Result: FIP 3.94 → 4.95, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKDSL Brewers 1 · 46 IPFIP 1.42 → 2.38 (+0.96)K% 27.8% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.84%	—	×0.680	18.93%
BB% (unintentional) /BF	2.84%	—	×1.250	3.55%
HR / BF /BF	0.57%	÷1.026	×1.400	0.78%

Result: FIP 1.42 → 2.38, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Enniel Cortez (OGILVIE)	—	—	5.45	17.5%	13.6%	3.1%	—	5.02	19.5%	7.6%	30	-0.43	—	—	—
Abel Brito R 2022 · 4.79 FIP	21	SP-	4.79	15.7%	12.6%	2.6%	.310	5.66	13.2%	-8.6%	70	+0.87	4.13	147	87
Luis Hernandez R 2022 · 4.94 FIP	21	SP	4.94	16.7%	14.0%	2.7%	.311	5.62	21.4%	4.1%	64	+0.68	4.09	109	85
Luis Mora R 2016 · 5.78 FIP	21	SP-	5.78	16.3%	15.4%	3.8%	.303	5.27	23.9%	1.2%	43	-0.51	3.95	119	85
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	84
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	84
Nolberto Henriquez R 2021 · 4.99 FIP	21	SP-	4.99	16.0%	13.4%	2.8%	.305	5.60	11.3%	-3.1%	52	+0.61	4.99	108	83
Danny Flatt R 2024 · 6.12 FIP	20	SP-	6.12	14.5%	15.7%	4.1%	.304	5.81	13.0%	-1.9%	76	-0.31	5.37	122	83
Justin Germano R 2004 · 4.49 FIP	21	SP-	4.49	14.7%	12.8%	1.8%	.377	4.12	13.8%	7.3%	133	-0.37	3.73	405	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
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	82
Juan Nuñez R 2022 · 4.49 FIP	21	SP	4.49	19.6%	13.2%	2.5%	.300	4.42	22.8%	8.3%	148	-0.07	2.88	245	82
Alex Vallecillo R 2023 · 4.75 FIP	21	SP-	4.75	18.6%	16.3%	2.1%	.277	—	—	—	—	—	4.51	152	82
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
Miguel Rondon R 2022 · 5.27 FIP	21	SP-	5.27	15.5%	11.4%	3.7%	.289	—	—	—	—	—	2.62	179	82
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	82
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	81
Jean Marcelino R 2021 · 5.24 FIP	21	SP-	5.24	15.4%	13.4%	3.2%	.377	6.68	11.8%	-24.4%	12	+1.44	3.68	102	81
Joshua Quezada R 2024 · 4.46 FIP	20	SP-	4.46	18.3%	11.7%	2.6%	.293	4.03	19.6%	10.8%	80	-0.43	3.61	161	81
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	81
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

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.3	27	18.7%	12.7%	1.20	5.28
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68