Joseph Deng Thon

P DSL LAD Mega

Age 19 RHP 6'6" / 185 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL LAD Mega	8	1	4	31.91	18.37	15.2%	66.7%	—	K 15.2% · BB 66.7% · FIP 10.26
2026	18	ROKDSL LAD Mega	13	0	11	17.47	9.63	9.7%	34.7%	—	K 6.6% · BB 43.4% · FIP 9.11
2027PROJ	19	MLB—	7	0	7	5.99	5.99	19.7%	20.0%	-0.1
2028PROJ49% MLB	20	MLB—	10	0	10	5.62	5.48	20.6%	16.8%	-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 100%

CompsAlejandro Lugo (age 18) · Enrique Saldana (age 19) · Michael Perez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA5.99

FIP5.99

K%19.7%

BB%20.0%

K-BB%-0.4%

Proj IP7

Value2027 · WAR

Runs saved vs league avg · 7 IP

Grades · Contract

Scouting Grades

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 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)
2025	17	ROK MLE	DSL LAD Mega	8	1	4	33	5	22	0	12%	0.5	15.2%	66.7%	-51.5%	0.0%	31.91	10.26	—
2025	17	ROK MLE	DSL LAD Mega	8	1	4	33	5	22	0	12%	0.5	15.2%	66.7%	-51.5%	0.0%	31.91	10.26	—
2025	17	ROK RAW	DSL LAD Mega	8	1	4	33	5	22	0	12%	0.5	15.2%	66.7%	-51.5%	0.0%	31.91	18.37	—
2026	18	ROK MLE	DSL LAD Mega	13	0	11	72	7	25	1	0%	0.9	6.6%	43.4%	-36.8%	1.9%	17.47	9.11	—
2026	18	ROK MLE	DSL LAD Mega	13	0	11	72	7	25	1	0%	0.9	6.6%	43.4%	-36.8%	1.9%	17.47	9.11	—
2026	18	ROK RAW	DSL LAD Mega	13	0	11	72	7	25	1	0%	0.9	9.7%	34.7%	-25.0%	1.4%	17.47	9.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	7	0	7	30	6	6	1	0%	1.0	19.7%	20.0%	-0.4%	3.0%	5.99	5.99	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	19	0	20	84	17	14	2	0%	1.1	20.6%	16.8%	3.8%	2.9%	5.62	5.48	-0.2
2028	20	MLB CTX	—	10	0	10	42	9	7	1	0%	1.0	20.6%	16.8%	3.8%	2.9%	5.62	5.48	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	20.6%	16.8%	3.8%	2.9%	5.62	5.10	-0.1
/ 200 IP	—	RAW		190	0	200	844	183	142	20	0%	1.1	20.6%	16.8%	3.8%	2.9%	5.62	5.10	-1.3
Career	—	MLE		21	1	15	105	10	53	1	5%	0.7	9.3%	50.7%	-41.4%	1.3%	21.00	9.47	-0.2
/ 200 IP	—	MLE		280	13	200	1400	130	710	19	5%	0.7	9.3%	50.7%	-41.4%	1.3%	21.00	9.47	-2.2

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
Joseph Deng Thon (OGILVIE)	—	—	5.99	19.7%	20.0%	3.0%	—	5.48	20.6%	3.8%	20	-0.51	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	88
Enrique Saldana R 2018 · 6.54 FIP	19	SU	6.54	15.4%	25.9%	2.6%	.310	3.85	14.6%	6.3%	80	-2.69	2.96	109	87
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	86
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	86
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	84
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	84
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	84
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	84
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	83
Junior Flores R 2021 · 5.28 FIP	19	SU	5.28	20.5%	24.1%	1.6%	.220	4.93	14.5%	-3.9%	92	-0.35	4.87	110	83
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	83
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	83
Jose G. Gonzalez R 2021 · 5.42 FIP	19	SU	5.42	16.2%	22.7%	1.5%	.320	4.81	15.6%	0.6%	94	-0.61	3.63	165	83
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	82
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	82
Leandro Lopez R 2021 · 6.37 FIP	19	SU	6.37	24.7%	24.6%	4.1%	.222	3.74	25.0%	7.8%	104	-2.63	3.03	273	81
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	81
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	81
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	81
Andrew Marrero R 2021 · 5.09 FIP	21	SU	5.09	21.7%	22.0%	1.9%	.395	4.61	24.3%	9.1%	148	-0.48	3.45	221	80