Luis De León

P Chesapeake Baysox

Age 24 LHP 6'3" / 168 lbs AA

Overview

AARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX2 levels	26	18	88	4.62	3.10	26.3%	12.2%	—	K 19.9% · BB 14.0% · FIP 4.04
2025	22	MIX3 levels	20	18	87	3.30	2.06	28.5%	10.9%	—	K 22.3% · BB 11.5% · FIP 2.68
2026	23	MIX3 levels	34	22	108	4.49	3.96	26.3%	11.4%	1.9	K 22.2% · BB 12.6% · FIP 4.69
2027PROJ	24	MLBBAL	11	11	61	4.83	4.83	23.0%	13.5%	0.4
2028PROJ80% MLB	25	MLBBAL	10	10	61	4.70	4.65	23.3%	12.2%	0.5
2029PROJ87% MLB	26	MLBBAL	10	10	60	4.63	4.60	23.4%	11.8%	0.6

Last 3 seasons WAR 1.9 · Next 3 projected WAR 1.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.4 / P90 12, comp-based) · star 3% · didn't stick 79%

CompsJason Blanchard (age 25) · Erik Rivera (age 23) · Jimmy Robbins (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109117vR 125

ERA4.83

FIP4.83

K%23.0%

BB%13.5%

K-BB%9.6%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

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)
2022	19	ROK MLE	DSL BAL Black	10	5	28	118	45	13	0	50%	2.8	25.9%	13.8%	12.2%	0.0%	5.14	2.65	—
2022	19	ROK RAW	DSL BAL Black	10	5	28	118	45	13	0	50%	2.8	38.1%	11.0%	27.1%	0.0%	5.14	1.28	—
2023	20	MIX MLE	2 levels	15	11	54	230	67	30	0	73%	3.6	20.6%	15.8%	4.8%	0.0%	2.01	3.36	—
2023	20	MIX RAW	2 levels	15	11	54	230	67	30	0	73%	3.6	29.1%	13.0%	16.1%	0.0%	2.01	2.28	—
2024	21	MIX MLE	2 levels	26	18	88	403	106	49	5	69%	3.4	19.9%	14.0%	5.9%	1.5%	4.62	4.04	—
2024	21	MIX MLE	2 levels	26	18	88	403	106	49	5	69%	3.4	19.9%	14.0%	5.9%	1.5%	4.62	4.04	—
2024	21	MIX RAW	2 levels	26	18	88	403	106	49	5	69%	3.4	26.3%	12.2%	14.1%	1.2%	4.62	3.10	—
2025	22	MIX MLE	3 levels	20	18	87	375	107	41	0	90%	4.4	22.3%	11.5%	10.7%	0.0%	3.30	2.68	—
2025	22	MIX MLE	3 levels	20	18	87	375	107	41	0	90%	4.4	22.3%	11.5%	10.7%	0.0%	3.30	2.68	—
2025	22	MIX RAW	3 levels	20	18	87	375	107	41	0	90%	4.4	28.5%	10.9%	17.6%	0.0%	3.30	2.06	—
2026	23	MIX MLE	3 levels	34	22	108	482	127	55	14	65%	3.2	22.2%	12.6%	9.6%	3.4%	4.49	4.69	+0.9
2026	23	MIX MLE	3 levels	34	22	108	482	127	55	14	65%	3.2	22.2%	12.6%	9.6%	3.4%	4.49	4.69	+0.9
2026	23	MIX RAW	3 levels	34	22	108	482	127	55	14	65%	3.2	26.3%	11.4%	14.9%	2.9%	4.49	3.96	+1.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			8	0	9	36	6	2	1	0%	1.2	16.7%	5.6%	11.1%	2.8%	1.93	3.85	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	BAL	11	11	61	258	59	35	7	100%	5.5	23.0%	13.5%	9.6%	2.9%	4.83	4.83	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	BAL	13	13	77	323	75	40	9	100%	5.9	23.3%	12.2%	11.1%	2.9%	4.70	4.65	+0.7
2029	26	MLB MLE	BAL	12	12	69	292	68	35	8	100%	5.8	23.4%	11.8%	11.5%	2.9%	4.63	4.60	+0.6
2030	27	MLB MLE	BAL	11	11	65	276	64	32	8	100%	5.9	23.3%	11.7%	11.6%	3.0%	4.62	4.62	+0.6
2031	28	MLB MLE	BAL	10	10	62	260	60	31	8	100%	6.2	23.2%	11.8%	11.4%	3.1%	4.66	4.70	+0.5
2032	29	MLB MLE	BAL	9	9	57	240	55	29	8	100%	6.3	22.9%	12.0%	10.9%	3.2%	4.76	4.83	+0.4
2033	30	MLB MLE	BAL	9	9	52	217	49	27	7	100%	5.7	22.6%	12.3%	10.3%	3.4%	4.91	5.01	+0.2
2028	25	MLB CTX	BAL	10	10	61	258	60	31	7	100%	6.1	23.3%	12.2%	11.1%	2.9%	4.70	4.65	+0.5
2029	26	MLB CTX	BAL	10	10	60	253	59	30	7	100%	6.0	23.4%	11.8%	11.5%	2.9%	4.63	4.60	+0.6
2030	27	MLB CTX	BAL	10	10	59	249	58	29	7	100%	5.9	23.3%	11.7%	11.6%	3.0%	4.62	4.62	+0.5
2031	28	MLB CTX	BAL	10	10	57	241	56	28	7	100%	5.7	23.2%	11.8%	11.4%	3.1%	4.66	4.70	+0.5
2032	29	MLB CTX	BAL	9	9	53	224	51	27	7	100%	5.9	22.9%	12.0%	10.9%	3.2%	4.76	4.83	+0.3
2033	30	MLB CTX	BAL	8	8	48	203	46	25	7	100%	6.0	22.6%	12.3%	10.3%	3.4%	4.91	5.01	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		65	57	347	1462	336	173	45	88%	5.3	23.0%	11.8%	11.2%	3.1%	4.63	4.33	+4.3
/ 200 IP	—	RAW		37	33	200	842	194	100	26	88%	5.4	23.0%	11.8%	11.2%	3.1%	4.63	4.33	+2.5
Career	—	MLE		105	74	365	1608	349	213	23	70%	3.5	21.7%	13.3%	8.4%	1.4%	3.92	3.72	+3.2
/ 200 IP	—	MLE		58	41	200	881	191	117	12	70%	3.5	21.7%	13.3%	8.4%	1.4%	3.92	3.72	+1.6

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 AAChesapeake Baysox · 81 IPFIP 3.61 → 4.49 (+0.88)K% 28.1% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.09%	—	×0.810	22.75%
BB% (unintentional) /BF	11.80%	—	×1.100	12.98%
HR / BF /BF	2.53%	÷1.000	×1.200	3.03%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. 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 3.61 → 4.49, 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 AAANorfolk Tides · 18 IPFIP 5.12 → 5.48 (+0.36)K% 23.3% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.33%	—	×0.860	20.07%
BB% (unintentional) /BF	12.22%	—	×0.900	11.00%
HR / BF /BF	4.44%	÷1.000	×1.100	4.89%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 5.12 → 5.48, 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 A+Aberdeen IronBirds · 60 IPFIP 2.12 → 2.83 (+0.71)K% 26.7% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.74%	—	×0.770	20.59%
BB% (unintentional) /BF	10.08%	—	×1.150	11.59%
HR / BF /BF	0.00%	÷1.229	×1.250	0.00%

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 146).

Result: FIP 2.12 → 2.83, 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 AAChesapeake Baysox · 16 IPFIP 1.42 → 2.12 (+0.70)K% 35.3% → 28.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.29%	—	×0.810	28.59%
BB% (unintentional) /BF	10.29%	—	×1.100	11.32%
HR / BF /BF	0.00%	÷1.248	×1.200	0.00%

Result: FIP 1.42 → 2.12, 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 ADelmarva Shorebirds · 11 IPFIP 2.76 → 3.75 (+1.00)K% 28.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.740	21.14%
BB% (unintentional) /BF	16.33%	—	×1.180	19.27%
HR / BF /BF	0.00%	÷0.899	×1.300	0.00%

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 80).

Result: FIP 2.76 → 3.75, 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 A+Aberdeen IronBirds · 60 IPFIP 3.81 → 4.69 (+0.89)K% 22.6% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.65%	—	×0.770	17.44%
BB% (unintentional) /BF	14.63%	—	×1.150	16.83%
HR / BF /BF	1.39%	÷1.026	×1.250	1.70%

Result: FIP 3.81 → 4.69, 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 ADelmarva Shorebirds · 28 IPFIP 1.35 → 2.44 (+1.09)K% 35.3% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.34%	—	×0.740	26.16%
BB% (unintentional) /BF	6.03%	—	×1.180	7.12%
HR / BF /BF	0.86%	÷0.952	×1.300	1.18%

Result: FIP 1.35 → 2.44, 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).

2023 ROKFCL Orioles · 27 IPFIP 2.02 → 3.23 (+1.21)K% 30.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.680	20.92%
BB% (unintentional) /BF	11.97%	—	×1.250	14.96%
HR / BF /BF	0.00%	÷1.027	×1.400	0.00%

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 105).

Result: FIP 2.02 → 3.23, 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).

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
Luis De León (OGILVIE)	—	—	—	—	—	2.9%	—	4.62	23.3%	11.4%	211	-0.21	—	—	—
Jason Blanchard L 2022 · 4.02 FIP	25	SP-	4.02	24.8%	14.2%	2.2%	.382	3.81	21.6%	10.9%	156	-0.21	2.44	171	79
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	79
Jimmy Robbins L 2022 · 3.85 FIP	24	SP-	3.85	23.3%	11.3%	2.3%	.286	4.82	18.0%	2.8%	99	+0.97	3.85	176	76
Brad Mills L 2010 · 4.22 FIP	25	SW	4.22	18.4%	12.2%	2.0%	.273	5.37	19.8%	7.7%	18	+1.15	4.22	243	75
Brady Basso L 2021 · 3.93 FIP	23	SP-	3.93	21.8%	8.7%	2.8%	.333	4.17	22.0%	15.8%	179	+0.24	2.24	312	74
Caden Grice L 2024 · 4.33 FIP	22	SP	4.33	23.1%	15.7%	2.2%	.282	5.05	17.9%	2.3%	83	+0.72	4.33	133	73
Cory Luebke L 2010 · 4.21 FIP	25	SP-	4.21	23.7%	7.9%	3.9%	.286	2.84	25.9%	18.7%	171	-1.37	2.80	216	72
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	71
Logan Darnell L 2014 · 4.78 FIP	25	SP-	4.78	19.6%	7.1%	4.4%	.338	4.10	13.4%	6.1%	262	-0.68	3.16	454	71
Hayden Mullins L 2024 · 4.39 FIP	23	SP-	4.39	23.4%	12.4%	3.1%	.288	3.69	25.5%	11.8%	194	-0.70	3.54	283	71
John Rooney L 2021 · 4.73 FIP	24	SP-	4.73	25.6%	17.4%	2.9%	.328	4.85	20.0%	9.7%	228	+0.12	3.03	439	69
J.A. Happ L 2008 · 3.90 FIP	25	SP-	3.90	18.8%	9.4%	2.2%	.260	4.38	18.4%	8.3%	410	+0.48	3.37	1,890	69
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	69
T.J. Sikkema L 2022 · 4.55 FIP	24	SP	4.55	21.9%	9.0%	3.9%	.298	4.54	16.9%	7.5%	231	-0.01	3.57	300	68
Will Johnston L 2024 · 3.94 FIP	23	SP-	3.94	24.8%	11.6%	2.7%	.290	4.56	22.9%	7.5%	104	+0.62	3.94	195	68
Dante Biasi L 2022 · 4.91 FIP	24	SP-	4.91	18.7%	15.9%	2.5%	.288	6.65	20.1%	1.7%	69	+1.74	4.91	224	68
John Koronka L 2005 · 4.77 FIP	25	SP-	4.77	13.2%	10.5%	2.6%	.304	4.81	10.5%	2.2%	135	+0.04	3.99	151	68
Grant Wolfram L 2021 · 5.44 FIP	24	SP-	5.44	25.2%	12.9%	5.1%	.327	3.92	23.1%	11.0%	176	-1.52	2.36	423	67
Marc Rzepczynski L 2010 · 4.23 FIP	24	SP	4.23	19.9%	10.1%	2.8%	.332	3.54	21.2%	13.0%	139	-0.69	2.43	491	67
Garrett Schoenle L 2022 · 4.60 FIP	24	SW	4.60	21.4%	10.8%	3.5%	.263	4.25	20.9%	9.7%	219	-0.35	2.32	362	67

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	2.4	69	23.0%	12.1%	1.17	4.67
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Curt Leskanic ('04)	3.6	65	20.6%	11.6%	1.01	4.36
Jorge Julio ('09)	2.3	58	21.7%	11.3%	1.25	4.43