Edgar Isea

P Hillsboro Hops

Age 24 RHP 6'3" / 185 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	ROKACL D-backs R…	18	0	22	5.73	4.05	35.6%	22.1%	—	K 24.2% · BB 27.6% · FIP 6.17
2024	21	MIX2 levels	33	0	35	4.37	3.50	31.2%	21.0%	—	K 23.4% · BB 23.3% · FIP 4.50
2025	22	A+ARI	45	0	42	3.86	4.43	23.9%	22.9%	—	K 18.4% · BB 26.4% · FIP 5.23
2026	23	No MLB games played
2027PROJ	24	MLBARI	—	—	0	5.90	5.90	19.4%	20.0%	—
2028PROJ43% MLB	25	MLBARI	16	0	17	5.63	5.55	20.2%	17.7%	-0.2
2029PROJ66% MLB	26	MLBARI	22	0	23	5.48	5.44	20.6%	17.0%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control20Command20

CompsRyan Sublette (age 24) · Taylor Floyd (age 24) · Christian Ruebeck (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 129

ERA5.90

FIP5.90

K%19.4%

BB%20.0%

K-BB%-0.6%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL2020

CMD2020

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 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)
2019	16	ROK MLE	DSL D-backs 1	12	5	29	137	22	25	0	42%	2.4	10.9%	22.8%	-11.9%	0.0%	4.30	5.07	—
2019	16	ROK RAW	DSL D-backs 1	12	5	29	137	22	25	0	42%	2.4	16.1%	18.2%	-2.2%	0.0%	4.30	4.16	—
2021	18	ROK MLE	ACL D-backs	2	0	4	22	5	4	0	0%	2.0	22.7%	18.2%	4.5%	0.0%	9.00	3.48	—
2021	18	ROK RAW	ACL D-backs	2	0	4	22	5	4	0	0%	2.0	22.7%	18.2%	4.5%	0.0%	9.00	3.60	—
2022	19	ROK MLE	ACL D-backs Black	11	8	34	166	47	27	3	73%	3.1	19.3%	20.3%	-1.1%	2.7%	6.35	5.51	—
2022	19	ROK RAW	ACL D-backs Black	11	8	34	166	47	27	3	73%	3.1	28.3%	16.3%	12.0%	1.8%	6.35	3.86	—
2023	20	ROK MLE	ACL D-backs Red	18	0	22	104	37	23	2	0%	1.2	24.2%	27.6%	-3.5%	2.9%	5.73	6.17	—
2023	20	ROK RAW	ACL D-backs Red	18	0	22	104	37	23	2	0%	1.2	35.6%	22.1%	13.5%	1.9%	5.73	4.05	—
2024	21	MIX MLE	2 levels	33	0	35	157	49	33	1	0%	1.1	23.4%	23.3%	0.1%	0.8%	4.37	4.50	—
2024	21	MIX MLE	2 levels	33	0	35	157	49	33	1	0%	1.1	23.4%	23.3%	0.1%	0.8%	4.37	4.50	—
2024	21	MIX RAW	2 levels	33	0	35	157	49	33	1	0%	1.1	31.2%	21.0%	10.2%	0.6%	4.37	3.50	—
2025	22	A+ MLE	Hillsboro Hops	45	0	42	205	49	47	1	0%	0.9	18.4%	26.4%	-8.0%	0.6%	3.86	5.23	—
2025	22	A+ MLE	Hillsboro Hops	45	0	42	205	49	47	1	0%	0.9	18.4%	26.4%	-8.0%	0.6%	3.86	5.23	—
2025	22	A+ RAW	Hillsboro Hops	45	0	42	205	49	47	1	0%	0.9	23.9%	22.9%	1.0%	0.5%	3.86	4.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	ARI	—	—	0	—	—	—	—	—	—	19.4%	20.0%	-0.6%	2.8%	5.90	5.90	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	ARI	39	0	41	171	35	30	5	0%	1.0	20.2%	17.7%	2.5%	2.8%	5.63	5.55	-0.4
2029	26	MLB MLE	ARI	33	0	35	148	31	25	4	0%	1.1	20.6%	17.0%	3.6%	2.8%	5.48	5.44	-0.3
2028	25	MLB CTX	ARI	16	0	17	72	14	13	2	0%	1.1	20.2%	17.7%	2.5%	2.8%	5.63	5.55	-0.2
2029	26	MLB CTX	ARI	22	0	23	97	20	17	3	0%	1.0	20.6%	17.0%	3.6%	2.8%	5.48	5.44	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	172	35	30	5	0%	1.0	20.4%	17.3%	3.1%	2.8%	5.54	5.11	-0.3
/ 200 IP	—	RAW		190	0	200	844	172	147	25	0%	1.1	20.4%	17.3%	3.1%	2.8%	5.54	5.11	-1.3
Career	—	MLE		121	13	166	791	151	188	10	11%	1.4	19.2%	23.8%	-4.7%	1.3%	4.92	5.19	-0.8
/ 200 IP	—	MLE		145	16	200	951	182	226	12	11%	1.4	19.2%	23.8%	-4.7%	1.3%	4.92	5.19	-2.2

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.

2025 A+Hillsboro Hops · 42 IPFIP 4.25 → 5.23 (+0.98)K% 23.9% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.90%	—	×0.770	18.40%
BB% (unintentional) /BF	22.93%	—	×1.150	26.37%
HR / BF /BF	0.49%	÷0.968	×1.250	0.63%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 4.25 → 5.23, 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 AVisalia Rawhide · 34 IPFIP 3.29 → 4.50 (+1.21)K% 31.6% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.58%	—	×0.740	23.37%
BB% (unintentional) /BF	19.74%	—	×1.180	23.29%
HR / BF /BF	0.66%	÷1.102	×1.300	0.78%

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 120).

Result: FIP 3.29 → 4.50, 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 ROKACL D-backs Red · 22 IPFIP 3.95 → 6.17 (+2.22)K% 35.6% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.58%	—	×0.680	24.19%
BB% (unintentional) /BF	22.12%	—	×1.250	27.64%
HR / BF /BF	1.92%	÷0.918	×1.400	2.93%

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 84).

Result: FIP 3.95 → 6.17, 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).

2022 ROKACL D-backs Black · 34 IPFIP 3.76 → 5.51 (+1.75)K% 28.3% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.31%	—	×0.680	19.25%
BB% (unintentional) /BF	16.27%	—	×1.250	20.33%
HR / BF /BF	1.81%	÷0.948	×1.400	2.67%

Result: FIP 3.76 → 5.51, 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).

2021 ROKACL D-backs · 4 IPFIP 3.48 → 4.67 (+1.19)K% 22.7% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.73%	—	×0.680	15.45%
BB% (unintentional) /BF	18.18%	—	×1.250	22.73%
HR / BF /BF	0.00%	÷0.986	×1.400	0.00%

Result: FIP 3.48 → 4.67, 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).

2019 ROKDSL D-backs 1 · 29 IPFIP 4.06 → 5.07 (+1.01)K% 16.1% → 10.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.06%	—	×0.680	10.92%
BB% (unintentional) /BF	18.25%	—	×1.250	22.81%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Result: FIP 4.06 → 5.07, 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
Edgar Isea (OGILVIE)	—	—	5.90	19.4%	20.0%	2.8%	—	5.50	20.4%	3.0%	76	-0.40	—	—	—
Ryan Sublette R 2023 · 5.72 FIP	24	SU	5.72	21.4%	22.3%	2.9%	.278	5.06	19.2%	3.8%	102	-0.66	3.74	203	89
Taylor Floyd R 2022 · 4.84 FIP	24	SU	4.84	19.6%	18.4%	1.9%	.305	4.30	19.8%	10.2%	184	-0.54	3.48	359	88
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	87
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	86
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	85
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	85
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	84
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	84
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	83
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	83
Tommy DeJuneas R 2019 · 5.15 FIP	23	SU	5.15	20.8%	18.8%	2.6%	.324	5.65	13.7%	-3.9%	51	+0.50	3.93	178	83
Aroni Nina R 2015 · 4.90 FIP	25	SU	4.90	16.8%	20.5%	1.1%	.312	3.04	18.8%	8.7%	64	-1.86	2.68	115	83
Yoel Espinal R 2017 · 5.37 FIP	24	SU	5.37	21.4%	23.1%	2.1%	.255	4.24	22.9%	10.0%	99	-1.13	3.86	231	83
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	82
Connor Cooke R 2024 · 5.02 FIP	24	SU	5.02	17.4%	17.0%	2.2%	.253	—	—	—	—	—	2.93	103	82
Miguel Rosario R 2017 · 4.83 FIP	24	SU	4.83	16.4%	18.6%	1.4%	.259	—	—	—	—	—	3.05	197	82
Will McAffer R 2021 · 6.40 FIP	24	SU	6.40	21.5%	24.2%	3.7%	.343	5.37	14.5%	-5.7%	33	-1.03	4.68	133	82
Sal Biasi R 2019 · 5.22 FIP	23	SU	5.22	20.1%	15.8%	3.3%	.295	7.66	15.3%	-0.2%	23	+2.44	4.68	188	82
Alec Hansen R 2019 · 5.74 FIP	24	SU	5.74	18.8%	19.8%	3.1%	.349	4.98	29.5%	-5.0%	22	-0.76	3.34	288	82
Everhett Hazelwood R 2023 · 5.70 FIP	24	SU	5.70	19.0%	15.4%	4.1%	.343	9.36	17.5%	0.6%	14	+3.66	5.23	117	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	0.7	44	20.0%	18.5%	1.08	5.71
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*