Joldanny Genao prospect projection, MLE, ETA

Joldanny Genao P DSL Orioles Black

Age 23 RHP 6'4" / 168 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 9 proj IP

wRC+ AGAINSTvL 121113vR 105

ERA4.61

FIP4.61

K%22.9%

BB%11.2%

K-BB%11.7%

ROS IP10

Value2026 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5555

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 + 2026 so far)
2019	16	ROK MLE	DSL Orioles 2	9	0	14	59	5	11	0	0%	1.5	5.8%	23.3%	-17.5%	0.0%	3.29	5.57	—
2019	16	ROK RAW	DSL Orioles 2	9	0	14	59	5	11	0	0%	1.5	8.5%	18.6%	-10.2%	0.0%	3.29	4.78	—
2022	19	ROK MLE	DSL BAL Black	14	1	35	156	30	17	4	7%	2.5	13.1%	13.6%	-0.5%	4.3%	4.15	6.08	—
2022	19	ROK RAW	DSL BAL Black	14	1	35	156	30	17	4	7%	2.5	19.2%	10.9%	8.3%	2.6%	4.15	4.34	—
2023	20	ROK MLE	DSL Orioles Black	10	0	16	71	13	11	1	0%	1.6	12.5%	19.4%	-6.9%	2.3%	4.41	5.74	—
2023	20	ROK MLE	DSL Orioles Black	10	0	16	71	13	11	1	0%	1.6	12.5%	19.4%	-6.9%	2.3%	4.41	5.74	—
2023	20	ROK RAW	DSL Orioles Black	10	0	16	71	13	11	1	0%	1.6	18.3%	15.5%	2.8%	1.4%	4.41	4.32	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	23	MLB	BAL	—	—	0	—	—	—	—	—	—	22.9%	11.2%	11.7%	3.0%	4.61	4.61	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	BAL	19	0	20	84	20	9	3	0%	1.1	23.5%	10.3%	13.2%	3.0%	4.49	4.43	+0.0
2027	24	MLB CTX	BAL	9	0	9	38	9	4	1	0%	1.0	23.5%	10.3%	13.2%	3.0%	4.49	4.43	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	4	1	0%	1.1	23.5%	10.3%	13.2%	3.0%	4.49	4.05	+0.1
/ 200 IP	—	RAW		190	0	200	844	187	94	23	0%	1.1	23.5%	10.3%	13.2%	3.0%	4.49	4.05	+1.2
Career	—	MLE		33	1	65	286	33	49	8	3%	2.0	11.4%	17.0%	-5.6%	2.9%	4.04	5.89	+0.0
/ 200 IP	—	MLE		102	3	200	885	101	151	26	3%	2.0	11.4%	17.0%	-5.6%	2.9%	4.04	5.89	+0.3

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
Joldanny Genao (OGILVIE)	—	—	4.61	22.9%	11.2%	3.0%	—	4.43	23.5%	13.2%	20	-0.18	—	—	—
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	89
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	88
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	87
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	86
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	86
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	86
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	85
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	85
Jacob Dorris R 2016 · 4.16 FIP	23	SU	4.16	26.9%	12.4%	3.2%	.295	4.58	19.2%	8.8%	88	+0.42	4.16	130	85
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	85
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	84
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	84
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	84
Kyle Marman R 2019 · 3.97 FIP	22	SU	3.97	22.2%	12.8%	2.0%	.270	5.16	22.5%	8.4%	71	+1.19	3.97	117	84
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	84
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	84
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	83
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	83
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	83
Todd Wellemeyer R 2003 · 5.14 FIP	24	SU	5.14	24.6%	14.8%	4.1%	.290	4.56	18.9%	4.8%	135	-0.58	3.35	615	83