Yorsua Balanta

P DSL Tigers 1

Age 21 LHP 6'1" / 155 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Tigers 1	15	19	6.98	4.70	9.8%	16.7%	—	K 6.7% · BB 20.8% · FIP 5.18
2026	20	ROKDSL Tigers 1	17	25	4.32	4.74	19.0%	24.0%	—	K 12.9% · BB 30.0% · FIP 5.80
2027PROJ	21	MLBDET	13	14	6.03	6.03	18.4%	20.0%	-0.2
2028PROJ49% MLB	22	MLBDET	11	12	5.60	5.43	20.2%	16.6%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsBrayan Restituyo (age 21) · Austin Hamilton (age 23) · Adrian Almeida (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131140vR 148

ERA6.03

FIP6.03

K%18.4%

BB%20.0%

K-BB%-1.6%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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	19	ROK MLE	DSL Tigers 1	15	0	19	102	10	17	0	0%	1.3	6.7%	20.8%	-14.2%	0.0%	6.98	5.18	—
2025	19	ROK MLE	DSL Tigers 1	15	0	19	102	10	17	0	0%	1.3	6.7%	20.8%	-14.2%	0.0%	6.98	5.18	—
2025	19	ROK RAW	DSL Tigers 1	15	0	19	102	10	17	0	0%	1.3	9.8%	16.7%	-6.9%	0.0%	6.98	4.70	—
2026	20	ROK MLE	DSL Tigers 1	17	0	25	121	23	29	0	0%	1.5	12.9%	30.0%	-17.0%	0.0%	4.32	5.80	—
2026	20	ROK MLE	DSL Tigers 1	17	0	25	121	23	29	0	0%	1.5	12.9%	30.0%	-17.0%	0.0%	4.32	5.80	—
2026	20	ROK RAW	DSL Tigers 1	17	0	25	121	23	29	0	0%	1.5	19.0%	24.0%	-5.0%	0.0%	4.32	4.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	DET	13	0	14	59	11	12	2	0%	1.1	18.4%	20.0%	-1.6%	2.9%	6.03	6.03	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	DET	22	0	24	100	20	17	3	0%	1.1	20.2%	16.6%	3.5%	2.8%	5.60	5.43	-0.2
2028	22	MLB CTX	DET	11	0	12	51	10	8	1	0%	1.1	20.2%	16.6%	3.5%	2.8%	5.60	5.43	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	49	10	8	1	0%	1.1	20.2%	16.6%	3.5%	2.8%	5.60	5.05	-0.1
/ 200 IP	—	RAW		190	0	200	844	172	138	17	0%	1.1	20.2%	16.6%	3.5%	2.8%	5.60	5.05	-1.2
Career	—	MLE		32	0	44	223	22	58	0	0%	1.4	10.1%	25.8%	-15.7%	0.0%	5.48	5.52	-0.2
/ 200 IP	—	MLE		144	0	200	1006	101	259	0	0%	1.4	10.1%	25.8%	-15.7%	0.0%	5.48	5.52	-2.0

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
Yorsua Balanta (OGILVIE)	—	—	6.03	18.4%	20.0%	2.9%	—	5.43	20.2%	3.5%	24	-0.60	—	—	—
Brayan Restituyo L 2023 · 5.53 FIP	21	SU	5.53	17.4%	17.3%	3.1%	.312	4.76	17.6%	5.6%	151	-0.77	3.66	239	88
Austin Hamilton L 2017 · 4.92 FIP	23	SU	4.92	17.0%	15.6%	2.3%	.329	4.20	16.3%	8.9%	109	-0.72	4.02	135	85
Adrian Almeida L 2016 · 5.65 FIP	21	SU	5.65	18.6%	15.3%	4.0%	.295	4.97	18.4%	-4.1%	119	-0.68	4.27	188	84
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	84
Blake Townsend L 2022 · 5.83 FIP	21	SU	5.83	18.3%	17.5%	3.8%	.170	3.73	18.1%	8.4%	167	-2.10	3.34	305	83
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	83
Kevin Escorcia L 2016 · 5.05 FIP	21	SU	5.05	17.3%	21.2%	1.3%	.233	3.48	22.1%	9.2%	129	-1.57	3.16	189	82
Max Herrmann L 2017 · 5.09 FIP	24	SU	5.09	15.0%	17.9%	1.8%	.333	4.37	12.2%	0.8%	152	-0.72	3.93	168	82
Jordan Norberto L 2010 · 6.32 FIP	23	SU	6.32	16.0%	22.3%	3.2%	.236	3.89	21.7%	12.3%	52	-2.43	3.89	117	81
Jayvien Sandridge L 2019 · 6.78 FIP	20	SU	6.78	19.0%	23.9%	4.1%	.324	3.61	27.9%	5.2%	41	-3.17	3.25	223	81
Yenfri Sosa L 2024 · 6.08 FIP	20	SU	6.08	19.0%	21.3%	3.4%	.309	4.41	21.7%	7.4%	38	-1.67	2.49	128	81
Gerardo Concepción L 2015 · 5.40 FIP	23	SU	5.40	14.0%	18.5%	2.1%	.352	4.53	16.9%	6.5%	60	-0.87	4.53	104	80
Francis Beriguete L 2021 · 6.05 FIP	21	SU	6.05	20.8%	27.7%	2.2%	.300	—	—	—	—	—	3.40	101	80
Triston Polley L 2021 · 4.88 FIP	24	SU	4.88	22.3%	20.0%	2.1%	.361	4.77	18.5%	5.2%	136	-0.11	4.15	151	79
Gil Luna L 2023 · 5.37 FIP	24	SU	5.37	22.5%	24.5%	1.9%	.303	4.95	19.7%	-6.0%	73	-0.42	4.57	113	79
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	79
Julian Bosnic L 2023 · 5.72 FIP	23	SU	5.72	22.5%	21.0%	3.4%	.206	4.74	19.1%	-0.1%	90	-0.98	4.31	136	78
Bryan King L 2021 · 5.20 FIP	24	SU	5.20	17.4%	17.8%	2.4%	.317	2.82	24.4%	14.9%	77	-2.38	2.41	244	78
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	78
Brendan Nail L 2019 · 4.88 FIP	23	SU	4.88	23.8%	16.4%	3.1%	.305	3.83	26.2%	15.2%	87	-1.05	3.45	165	77