Alvin De Leon

P DSL Cubs Blue

Age 19 RHP ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Cubs Blue	12	1	28	0.64	2.03	23.9%	2.8%	—	K 16.2% · BB 3.4% · FIP 2.87
2027PROJ	19	MLBCHC	16	0	17	3.96	3.96	21.2%	5.2%	0.1
2028PROJ49% MLB	20	MLBCHC	12	0	13	3.94	3.91	21.8%	5.4%	0.1

Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsJoe Shaw (age 21) · Tyler Stevens (age 21) · Matt Russell (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108100vR 92

ERA3.96

FIP3.96

K%21.2%

BB%5.2%

K-BB%16.0%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5050

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)
2026	18	ROK MLE	DSL Cubs Blue	12	1	28	109	26	3	1	8%	2.3	16.2%	3.4%	12.8%	1.3%	0.64	2.87	—
2026	18	ROK MLE	DSL Cubs Blue	12	1	28	109	26	3	1	8%	2.3	16.2%	3.4%	12.8%	1.3%	0.64	2.87	—
2026	18	ROK RAW	DSL Cubs Blue	12	1	28	109	26	3	1	8%	2.3	23.9%	2.8%	21.1%	0.9%	0.64	2.03	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	CHC	16	0	17	72	15	4	2	0%	1.1	21.2%	5.2%	16.0%	2.9%	3.96	3.96	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	CHC	25	0	26	112	24	6	3	0%	1.1	21.8%	5.4%	16.4%	2.9%	3.94	3.91	+0.2
2028	20	MLB CTX	CHC	12	0	13	55	12	3	2	0%	1.1	21.8%	5.4%	16.4%	2.9%	3.94	3.91	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	55	12	3	2	0%	1.1	21.8%	5.4%	16.4%	2.9%	3.94	3.53	+0.2
/ 200 IP	—	RAW		190	0	200	844	184	46	31	0%	1.1	21.8%	5.4%	16.4%	2.9%	3.94	3.53	+2.4
Career	—	MLE		12	1	28	109	18	4	1	8%	2.3	16.2%	3.4%	12.8%	1.3%	0.64	2.87	+0.2
/ 200 IP	—	MLE		86	7	200	779	126	27	10	8%	2.3	16.2%	3.4%	12.8%	1.3%	0.64	2.87	+1.5

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
Alvin De Leon (OGILVIE)	—	—	3.96	21.2%	5.2%	2.9%	—	3.91	21.8%	16.4%	26	-0.05	—	—	—
Joe Shaw R 2015 · 3.29 FIP	21	SU	3.29	20.6%	4.5%	2.5%	.306	4.38	15.3%	6.7%	300	+1.09	3.29	371	84
Tyler Stevens R 2017 · 4.29 FIP	21	SU	4.29	20.5%	4.8%	4.2%	.293	3.96	23.1%	14.8%	127	-0.33	3.94	190	83
Matt Russell R 2021 · 2.83 FIP	22	SU	2.83	21.1%	4.6%	1.7%	.314	4.37	15.1%	3.4%	160	+1.54	2.83	178	82
Osiel Rodriguez R 2022 · 3.38 FIP	20	SU	3.38	19.6%	6.6%	2.0%	.306	5.31	22.3%	7.4%	92	+1.93	3.38	124	82
Denny Brady R 2017 · 4.01 FIP	20	SU	4.01	18.8%	5.7%	3.2%	.368	3.29	18.7%	10.1%	124	-0.72	3.14	160	81
Jon Olczak R 2015 · 2.98 FIP	21	SU	2.98	25.9%	5.5%	2.5%	.302	3.09	21.2%	12.7%	133	+0.11	2.53	322	81
Ronald Dominguez R 2015 · 3.28 FIP	21	SU	3.28	19.4%	5.3%	2.1%	.273	3.35	17.4%	12.2%	152	+0.07	3.24	208	81
Jeff Bain R 2017 · 3.94 FIP	21	SU	3.94	19.7%	6.7%	3.0%	.339	4.22	19.1%	10.7%	274	+0.28	3.35	475	81
Austin Hutchison R 2017 · 4.05 FIP	22	SW	4.05	19.7%	6.0%	3.4%	.340	4.55	18.7%	9.2%	213	+0.50	3.51	235	81
Jake Elliott R 2016 · 3.82 FIP	21	SU	3.82	19.2%	7.1%	2.6%	.353	3.81	18.1%	10.0%	202	-0.01	2.91	354	80
Jiorgeny Casimiri R 2019 · 3.73 FIP	18	SU	3.73	16.4%	4.6%	2.6%	.263	7.61	17.0%	0.1%	31	+3.88	3.73	101	80
Clayton McGinness R 2019 · 3.85 FIP	22	SW	3.85	19.4%	4.5%	3.3%	.291	4.63	18.7%	7.8%	84	+0.78	3.85	106	80
David Davalillo R 2023 · 3.33 FIP	20	SW	3.33	18.6%	6.8%	1.7%	.292	3.31	20.9%	12.4%	308	-0.02	2.96	325	80
Alexander Campos R 2023 · 4.05 FIP	20	SU	4.05	17.0%	6.0%	3.0%	.281	4.66	11.1%	6.0%	135	+0.61	4.02	157	79
Francys Peguero R 2015 · 2.85 FIP	19	SU	2.85	26.4%	6.5%	2.1%	.274	3.38	17.0%	12.4%	33	+0.53	2.85	293	79
J.T. Hintzen R 2018 · 3.22 FIP	22	SU	3.22	20.1%	7.0%	1.7%	.303	4.37	24.1%	15.1%	123	+1.15	3.22	205	79
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	79
Brayan Vergara R 2024 · 3.16 FIP	18	SU	3.16	17.3%	3.0%	2.1%	.247	4.53	17.3%	10.3%	132	+1.37	3.16	165	78
Kevin Coulter R 2019 · 3.27 FIP	22	SU	3.27	21.0%	7.4%	1.8%	.287	4.51	16.1%	7.6%	92	+1.24	3.27	128	78
Sam Delaplane R 2017 · 3.18 FIP	22	SU	3.18	24.6%	7.7%	2.1%	.342	2.86	32.7%	23.4%	128	-0.32	2.57	194	78