Johander Rivero

P DSL CLE Mendoza

Age 19 LHP 5'10" / 149 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL CLE Goryl	14	1	18	5.89	4.52	20.5%	24.1%	—	K 13.9% · BB 30.1% · FIP 5.74
2026	18	ROKDSL CLE Mendo…	16	1	31	4.35	2.55	28.5%	11.7%	—	K 19.4% · BB 14.6% · FIP 3.88
2027PROJ	19	MLBPIT	15	0	16	5.34	5.34	21.2%	16.3%	-0.1
2028PROJ49% MLB	20	MLBPIT	13	0	14	5.09	4.99	21.8%	14.1%	-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%

CompsPeter Bonilla (age 19) · CD Pelham (age 20) · Anfernny Reyes (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 135

ERA5.34

FIP5.34

K%21.2%

BB%16.3%

K-BB%4.9%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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)
2025	17	ROK MLE	DSL CLE Goryl	14	1	18	83	17	20	0	7%	1.3	13.9%	30.1%	-16.2%	0.0%	5.89	5.74	—
2025	17	ROK MLE	DSL CLE Goryl	14	1	18	83	17	20	0	7%	1.3	13.9%	30.1%	-16.2%	0.0%	5.89	5.74	—
2025	17	ROK RAW	DSL CLE Goryl	14	1	18	83	17	20	0	7%	1.3	20.5%	24.1%	-3.6%	0.0%	5.89	4.52	—
2026	18	ROK MLE	DSL CLE Mendoza	16	1	31	137	39	16	1	6%	1.9	19.4%	14.6%	4.8%	1.0%	4.35	3.88	—
2026	18	ROK MLE	DSL CLE Mendoza	16	1	31	137	39	16	1	6%	1.9	19.4%	14.6%	4.8%	1.0%	4.35	3.88	—
2026	18	ROK RAW	DSL CLE Mendoza	16	1	31	137	39	16	1	6%	1.9	28.5%	11.7%	16.8%	0.7%	4.35	2.55	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	PIT	15	0	16	68	14	11	2	0%	1.1	21.2%	16.3%	4.9%	2.9%	5.34	5.34	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	PIT	28	0	29	124	27	17	4	0%	1.0	21.8%	14.1%	7.7%	2.8%	5.09	4.99	-0.1
2028	20	MLB CTX	PIT	13	0	14	59	13	8	2	0%	1.1	21.8%	14.1%	7.7%	2.8%	5.09	4.99	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	14	61	13	9	2	0%	1.0	21.8%	14.1%	7.7%	2.8%	5.09	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	180	125	28	0%	1.1	21.8%	14.1%	7.7%	2.8%	5.09	4.61	-0.1
Career	—	MLE		30	2	49	220	38	45	1	7%	1.6	17.3%	20.5%	-3.1%	0.6%	4.93	4.58	-0.2
/ 200 IP	—	MLE		122	8	200	892	154	182	6	7%	1.6	17.3%	20.5%	-3.1%	0.6%	4.93	4.58	-1.0

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
Johander Rivero (OGILVIE)	—	—	5.34	21.2%	16.3%	2.9%	—	4.99	21.8%	7.7%	29	-0.35	—	—	—
Peter Bonilla L 2024 · 4.63 FIP	19	SU	4.63	20.9%	18.3%	1.8%	.250	6.24	19.5%	-5.4%	51	+1.61	4.27	134	83
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	82
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	81
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	79
Esmerlin Vinicio L 2022 · 4.71 FIP	19	SW	4.71	17.6%	15.7%	2.0%	.365	4.87	17.2%	0.5%	207	+0.16	3.73	383	78
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	78
Boone Logan L 2006 · 4.69 FIP	21	SU	4.69	16.1%	14.0%	2.1%	.302	4.14	17.2%	10.5%	110	-0.55	2.58	442	77
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	77
Nicolo Pinazzi L 2021 · 4.55 FIP	21	SU	4.55	25.7%	21.3%	1.7%	.389	5.41	22.7%	0.2%	76	+0.86	2.58	155	76
Jonas Uzcategui L 2024 · 4.53 FIP	19	SU	4.53	23.7%	23.3%	0.9%	.231	4.54	22.5%	4.8%	59	+0.01	4.53	104	76
Rio Britton L 2024 · 4.28 FIP	21	SU	4.28	19.2%	13.5%	2.0%	.354	5.03	22.4%	7.1%	98	+0.75	4.28	166	76
Braian Salazar L 2024 · 4.71 FIP	19	SW	4.71	22.0%	20.2%	1.7%	.344	4.11	21.7%	5.1%	107	-0.60	3.58	158	76
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	76
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	75
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	75
Harold Melenge L 2021 · 4.55 FIP	19	SU	4.55	17.3%	12.7%	2.4%	.297	3.44	16.4%	10.2%	89	-1.11	2.69	238	75
Tim Collins L 2011 · 4.36 FIP	21	SU	4.36	20.3%	15.6%	1.8%	.255	3.47	25.9%	15.6%	144	-0.89	3.16	297	75
Carlos Rey L 2024 · 4.47 FIP	22	SU	4.47	26.1%	22.0%	1.4%	.297	4.30	25.5%	5.4%	108	-0.17	3.90	165	74
Evan Taylor L 2022 · 4.31 FIP	22	SU	4.31	28.1%	16.5%	2.7%	.304	3.19	21.9%	10.0%	150	-1.12	3.09	225	74
Gregori Louis L 2022 · 5.03 FIP	19	SU	5.03	25.4%	13.1%	4.4%	.364	4.96	19.1%	2.9%	89	-0.07	3.58	149	74