Erigaldi Perez

P Hill City Howlers

Age 21 RHP 6'2" / 185 lbs A Svc 0.0 · Ctrl thru 2037 peak 0.9 · 2030

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#454ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	18	ROKDSL CLE Goryl	10	10	40	3.63	2.72	16.2%	5.0%	—	K 11.1% · BB 6.2% · FIP 3.31
2025	19	ROKCLE	12	6	38	5.02	3.05	20.1%	5.3%	—	K 13.7% · BB 6.7% · FIP 3.77
2026	20	MIX2 levels	19	17	84	4.20	3.24	24.4%	10.1%	—	K 17.4% · BB 12.1% · FIP 4.38
2027PROJ	21	MLBCLE	—	—	0	4.87	4.87	18.3%	10.7%	—
2028PROJ49% MLB	22	MLBCLE	6	6	32	4.67	4.58	20.1%	9.8%	0.3
2029PROJ73% MLB	23	MLBCLE	9	9	48	4.50	4.39	21.2%	9.2%	0.6

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Career WAR0.0 WAR median (P10 -0.3 / P90 2.9, comp-based) · star 2% · didn't stick 91%

CompsJosé López (age 21) · Juan Nuñez (age 21) · Jeremy Lee (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 109

ERA4.87

FIP4.87

K%18.3%

BB%10.7%

K-BB%7.7%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$42M ctrl surplus

Grades · Contract

Scouting Grades

K†4560

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$2M	+0.8	$2M	+$1.0M
2036	Arb-2	$2M	+0.6	$1M	+$0.3M
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$7M		$9M	+$6M

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)
2024	18	ROK MLE	DSL CLE Goryl	10	10	40	160	26	8	1	100%	4.0	11.1%	6.2%	4.8%	0.6%	3.63	3.31	—
2024	18	ROK MLE	DSL CLE Goryl	10	10	40	160	26	8	1	100%	4.0	11.1%	6.2%	4.8%	0.6%	3.63	3.31	—
2024	18	ROK RAW	DSL CLE Goryl	10	10	40	160	26	8	1	100%	4.0	16.2%	5.0%	11.2%	0.6%	3.63	2.72	—
2025	19	ROK MLE	ACL Guardians	12	6	38	169	34	9	3	50%	3.1	13.7%	6.7%	7.0%	1.8%	5.02	3.77	—
2025	19	ROK MLE	ACL Guardians	12	6	38	169	34	9	3	50%	3.1	13.7%	6.7%	7.0%	1.8%	5.02	3.77	—
2025	19	ROK RAW	ACL Guardians	12	6	38	169	34	9	3	50%	3.1	20.1%	5.3%	14.8%	1.8%	5.02	3.05	—
2026	20	MIX MLE	2 levels	19	17	84	357	87	36	6	89%	4.4	17.4%	12.1%	5.3%	2.2%	4.20	4.38	—
2026	20	MIX MLE	2 levels	19	17	84	357	87	36	6	89%	4.4	17.4%	12.1%	5.3%	2.2%	4.20	4.38	—
2026	20	MIX RAW	2 levels	19	17	84	357	87	36	6	89%	4.4	24.4%	10.1%	14.3%	1.7%	4.20	3.24	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	CLE	—	—	0	—	—	—	—	—	—	18.3%	10.7%	7.7%	2.9%	4.87	4.87	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	CLE	13	13	66	277	56	27	8	100%	5.1	20.1%	9.8%	10.4%	2.8%	4.67	4.58	+0.6
2029	23	MLB MLE	CLE	12	12	66	277	59	25	8	100%	5.5	21.2%	9.2%	12.0%	2.8%	4.50	4.39	+0.8
2030	24	MLB MLE	CLE	12	12	66	277	60	24	8	100%	5.5	21.8%	8.8%	13.0%	2.8%	4.37	4.28	+0.9
2031	25	MLB MLE	CLE	10	10	61	257	57	22	7	100%	6.1	22.2%	8.6%	13.6%	2.8%	4.28	4.22	+0.8
2032	26	MLB MLE	CLE	10	10	61	258	58	22	7	100%	6.1	22.4%	8.5%	13.8%	2.8%	4.23	4.20	+0.9
2033	27	MLB MLE	CLE	10	10	60	252	56	22	7	100%	6.0	22.4%	8.6%	13.8%	2.8%	4.23	4.24	+0.8
2034	28	MLB MLE	CLE	9	9	57	239	53	21	7	100%	6.3	22.2%	8.8%	13.5%	2.9%	4.28	4.32	+0.7
2035	29	MLB MLE	CLE	10	10	58	244	59	20	8	100%	5.8	24.0%	8.2%	15.8%	3.1%	4.22	4.18	+0.8
2036	30	MLB MLE	CLE	9	9	52	220	52	19	7	100%	5.8	23.7%	8.5%	15.2%	3.3%	4.30	4.36	+0.6
2037	31	MLB MLE	CLE	8	8	46	195	45	17	7	100%	5.8	23.3%	8.8%	14.4%	3.5%	4.46	4.56	+0.4
2038	32	MLB MLE	CLE	7	7	40	170	39	16	6	100%	5.7	22.8%	9.2%	13.6%	3.8%	4.66	4.79	+0.3
2028	22	MLB CTX	CLE	6	6	32	135	27	13	4	100%	5.3	20.1%	9.8%	10.4%	2.8%	4.67	4.58	+0.3
2029	23	MLB CTX	CLE	9	9	48	203	43	19	6	100%	5.3	21.2%	9.2%	12.0%	2.8%	4.50	4.39	+0.6
2030	24	MLB CTX	CLE	10	10	54	228	50	20	6	100%	5.4	21.8%	8.8%	13.0%	2.8%	4.37	4.28	+0.7
2031	25	MLB CTX	CLE	9	9	54	228	51	20	6	100%	6.0	22.2%	8.6%	13.6%	2.8%	4.28	4.22	+0.8
2032	26	MLB CTX	CLE	9	9	56	236	53	20	7	100%	6.2	22.4%	8.5%	13.8%	2.8%	4.23	4.20	+0.8
2033	27	MLB CTX	CLE	9	9	55	232	52	20	7	100%	6.1	22.4%	8.6%	13.8%	2.8%	4.23	4.24	+0.8
2034	28	MLB CTX	CLE	9	9	53	224	50	20	7	100%	5.9	22.2%	8.8%	13.5%	2.9%	4.28	4.32	+0.7
2035	29	MLB CTX	CLE	9	9	55	232	56	19	7	100%	6.1	24.0%	8.2%	15.8%	3.1%	4.22	4.18	+0.8
2036	30	MLB CTX	CLE	8	8	49	207	49	18	7	100%	6.1	23.7%	8.5%	15.2%	3.3%	4.30	4.36	+0.6
2037	31	MLB CTX	CLE	7	7	44	186	43	16	6	100%	6.3	23.3%	8.8%	14.4%	3.5%	4.46	4.56	+0.4
2038	32	MLB CTX	CLE	6	6	38	160	37	15	6	100%	6.3	22.8%	9.2%	13.6%	3.7%	4.65	4.78	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		93	93	539	2275	510	199	68	100%	5.8	22.4%	8.8%	13.7%	3.0%	4.35	3.96	+9.2
/ 200 IP	—	RAW		34	34	200	844	189	74	25	100%	5.8	22.4%	8.8%	13.7%	3.0%	4.35	3.96	+3.4
Career	—	MLE		41	33	161	686	103	65	12	80%	3.9	15.0%	9.4%	5.6%	1.7%	4.25	3.98	+7.7
/ 200 IP	—	MLE		51	41	200	852	128	80	15	80%	3.9	15.0%	9.4%	5.6%	1.7%	4.25	3.98	+2.4

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 AHill City Howlers · 51 IPFIP 3.86 → 4.99 (+1.13)K% 22.7% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.69%	—	×0.740	16.79%
BB% (unintentional) /BF	11.11%	—	×1.180	13.11%
HR / BF /BF	2.31%	÷1.000	×1.300	3.01%

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 3.86 → 4.99, 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).

2026 ROKACL Guardians · 32 IPFIP 2.29 → 3.44 (+1.15)K% 27.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.95%	—	×0.680	18.33%
BB% (unintentional) /BF	8.51%	—	×1.250	10.64%
HR / BF /BF	0.71%	÷1.000	×1.400	0.99%

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 100).

Result: FIP 2.29 → 3.44, 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).

2025 ROKACL Guardians · 38 IPFIP 3.05 → 3.77 (+0.72)K% 20.1% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.12%	—	×0.680	13.68%
BB% (unintentional) /BF	5.33%	—	×1.250	6.66%
HR / BF /BF	1.78%	÷1.388	×1.400	1.79%

Result: FIP 3.05 → 3.77, 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 ROKDSL CLE Goryl · 40 IPFIP 2.70 → 3.31 (+0.61)K% 16.2% → 11.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.25%	—	×0.680	11.05%
BB% (unintentional) /BF	5.00%	—	×1.250	6.25%
HR / BF /BF	0.62%	÷1.366	×1.400	0.64%

Result: FIP 2.70 → 3.31, 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
Erigaldi Perez (OGILVIE)	—	—	4.87	18.3%	10.7%	2.9%	—	4.42	21.0%	11.8%	197	-0.45	—	—	—
José López R 2015 · 4.04 FIP	21	SP	4.04	19.1%	9.9%	2.3%	.329	3.77	17.9%	9.9%	436	-0.27	3.12	543	89
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	87
Jeremy Lee R 2024 · 4.17 FIP	22	SP-	4.17	16.8%	11.5%	1.9%	.318	5.21	11.2%	-0.5%	46	+1.04	4.17	125	87
Logan Gragg R 2019 · 4.14 FIP	20	SP	4.14	17.4%	9.5%	2.4%	.343	5.20	15.2%	8.2%	202	+1.06	4.14	412	87
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	87
Christian Roa R 2021 · 4.94 FIP	22	SP	4.94	19.6%	12.4%	3.5%	.321	4.90	22.5%	6.9%	260	-0.04	4.14	414	87
TJ Nichols R 2024 · 3.71 FIP	22	SP-	3.71	17.0%	9.0%	1.6%	.310	5.34	20.9%	12.4%	223	+1.63	3.71	295	87
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	86
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	86
Chih-Jung Liu R 2021 · 4.41 FIP	22	SP	4.41	18.8%	10.5%	2.9%	.331	6.08	21.6%	9.0%	233	+1.67	4.41	283	86
John Klein R 2023 · 4.47 FIP	21	SP	4.47	17.4%	11.4%	2.5%	.287	4.18	19.6%	9.9%	293	-0.29	3.19	346	86
Johnathan Harmon R 2023 · 4.30 FIP	22	SP-	4.30	17.8%	10.2%	2.6%	.293	5.14	15.2%	6.4%	193	+0.84	3.52	282	86
Andrew Cabezas R 2018 · 4.59 FIP	21	SP-	4.59	16.1%	9.4%	3.0%	.210	4.70	16.7%	6.9%	185	+0.11	4.16	300	86
Bryce Conley R 2018 · 4.71 FIP	23	SP-	4.71	20.2%	12.2%	3.2%	.269	4.88	17.4%	3.3%	197	+0.17	4.22	560	85
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	85
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	85
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	84
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	84
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	84
Will Sanders R 2024 · 4.95 FIP	22	SP	4.95	19.3%	11.8%	3.6%	.297	4.11	20.1%	12.5%	173	-0.84	3.92	266	84

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	3.5	58	21.9%	9.0%	1.15	4.42
Russ Springer ('10)	4.3	66	20.9%	9.4%	1.27	4.52
Stan Belinda ('00)	3.4	61	21.3%	9.9%	1.13	4.12
Dan Miceli ('06)	3.5	64	20.6%	10.1%	1.19	4.48
Mark Guthrie ('89-'03, 8 WAR*)	4.9	65	22.8%*	8.5%*	1.07*	4.01*
Xavier Hernandez ('89-'98, 3 WAR*)	3.4	67	23.9%*	9.1%*	1.12*	4.20*
Tom Niedenfuer ('81-'90, 8 WAR*)	3.3	65	23.1%*	8.1%*	1.19*	3.80*