Ryan Harbin

P FCL Pirates

Age 25 RHP 6'4" / 228 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX3 levels	33	1	43	4.98	3.54	32.8%	14.1%	—	K 24.3% · BB 15.9% · FIP 4.84
2025	23	MIX3 levels	50	1	63	4.69	2.99	31.9%	16.0%	—	K 25.5% · BB 16.9% · FIP 3.82
2026	24	ROKPIT	1	1	0	27.00	-2.90	50.0%	0.0%	—	K 50.0% · BB 0.0% · FIP -1.12
2027PROJ	25	MLBPIT	38	0	40	4.87	4.87	24.0%	15.1%	-0.1
2028PROJ48% MLB	26	MLBPIT	27	0	28	4.80	4.79	24.1%	14.4%	-0.1
2029PROJ66% MLB	27	MLBPIT	35	0	37	4.78	4.79	24.0%	14.1%	-0.1

Next 3 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%

CompsMaikel Cleto (age 25) · CJ Weins (age 23) · Nick Ernst (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 109

ERA4.87

FIP4.87

K%24.0%

BB%15.1%

K-BB%8.9%

Proj IP40

Value2027 · WAR

Runs saved vs league avg · 40 IP

Grades · Contract

Scouting Grades

K†5560

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)
2019	17	ROK MLE	GCL Pirates	4	3	10	48	7	8	1	75%	2.4	14.6%	16.7%	-2.1%	2.1%	9.31	5.12	—
2019	17	ROK RAW	GCL Pirates	4	3	10	48	7	8	1	75%	2.4	14.6%	16.7%	-2.1%	2.1%	9.31	5.48	—
2021	19	ROK MLE	FCL Pirates Black	5	5	14	73	17	9	1	100%	2.9	15.8%	15.4%	0.4%	2.0%	7.53	4.79	—
2021	19	ROK RAW	FCL Pirates Black	5	5	14	73	17	9	1	100%	2.9	23.3%	12.3%	11.0%	1.4%	7.53	3.52	—
2022	20	MIX MLE	2 levels	9	0	16	72	15	10	1	0%	1.8	14.4%	18.9%	-4.5%	2.2%	4.41	5.47	—
2022	20	MIX RAW	2 levels	9	0	16	72	15	10	1	0%	1.8	20.8%	13.9%	6.9%	1.4%	4.41	3.90	—
2023	21	MIX MLE	2 levels	35	0	54	233	68	29	4	0%	1.6	21.9%	14.5%	7.4%	1.9%	3.15	4.14	—
2023	21	MIX RAW	2 levels	35	0	54	233	68	29	4	0%	1.6	29.2%	12.4%	16.7%	1.7%	3.15	3.16	—
2024	22	MIX MLE	3 levels	33	1	43	198	65	28	5	3%	1.3	24.3%	15.9%	8.5%	3.2%	4.98	4.84	—
2024	22	MIX MLE	3 levels	33	1	43	198	65	28	5	3%	1.3	24.3%	15.9%	8.5%	3.2%	4.98	4.84	—
2024	22	MIX RAW	3 levels	33	1	43	198	65	28	5	3%	1.3	32.8%	14.1%	18.7%	2.5%	4.98	3.54	—
2025	23	MIX MLE	3 levels	50	1	63	288	92	46	3	2%	1.3	25.5%	16.9%	8.6%	1.3%	4.69	3.82	—
2025	23	MIX MLE	3 levels	50	1	63	288	92	46	3	2%	1.3	25.5%	16.9%	8.6%	1.3%	4.69	3.82	—
2025	23	MIX RAW	3 levels	50	1	63	288	92	46	3	2%	1.3	31.9%	16.0%	16.0%	1.0%	4.69	2.99	—
2026	24	ROK MLE	FCL Pirates	1	1	0	2	1	0	0	100%	0.3	50.0%	0.0%	50.0%	0.0%	27.00	-1.12	—
2026	24	ROK MLE	FCL Pirates	1	1	0	2	1	0	0	100%	0.3	50.0%	0.0%	50.0%	0.0%	27.00	-1.12	—
2026	24	ROK RAW	FCL Pirates	1	1	0	2	1	0	0	100%	0.3	50.0%	0.0%	50.0%	0.0%	27.00	-2.90	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	PIT	38	0	40	169	40	25	5	0%	1.1	24.0%	15.1%	8.9%	2.7%	4.87	4.87	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	PIT	54	0	57	241	58	35	7	0%	1.1	24.1%	14.4%	9.7%	2.8%	4.80	4.79	-0.2
2029	27	MLB MLE	PIT	53	0	56	237	57	33	7	0%	1.1	24.0%	14.1%	9.9%	2.8%	4.78	4.79	-0.2
2028	26	MLB CTX	PIT	27	0	28	118	28	17	3	0%	1.0	24.1%	14.4%	9.7%	2.8%	4.80	4.79	-0.1
2029	27	MLB CTX	PIT	35	0	37	156	38	22	4	0%	1.1	24.0%	14.1%	9.9%	2.8%	4.78	4.79	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		62	0	65	273	66	39	8	0%	1.0	24.1%	14.3%	9.8%	2.8%	4.79	4.41	+0.1
/ 200 IP	—	RAW		190	0	200	844	204	121	25	0%	1.0	24.1%	14.3%	9.8%	2.8%	4.79	4.41	+0.3
Career	—	MLE		137	11	202	914	203	147	19	8%	1.5	22.2%	16.0%	6.1%	2.1%	4.78	4.39	-0.3
/ 200 IP	—	MLE		136	11	200	906	201	145	19	8%	1.5	22.2%	16.0%	6.1%	2.1%	4.78	4.39	-0.6

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
Ryan Harbin (OGILVIE)	—	—	4.87	24.0%	15.1%	2.7%	—	4.79	24.1%	9.8%	113	-0.08	—	—	—
Maikel Cleto R 2014 · 4.24 FIP	25	SU	4.24	23.2%	15.2%	2.1%	.256	3.45	25.4%	14.5%	106	-0.79	2.59	185	89
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	89
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	87
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	87
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	87
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	87
Carter Loewen R 2024 · 4.26 FIP	25	SU	4.26	23.1%	15.0%	2.2%	.312	4.16	20.0%	11.9%	23	-0.10	2.67	145	86
Ben Hecht R 2019 · 4.51 FIP	24	SU	4.51	22.7%	12.9%	3.1%	.293	7.98	14.1%	-11.4%	13	+3.47	4.39	155	86
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	86
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	86
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	86
Alec Barger R 2023 · 4.44 FIP	25	SU	4.44	21.5%	14.4%	2.4%	.326	4.67	18.6%	7.5%	79	+0.23	3.85	242	86
Caleb Simpson R 2017 · 5.37 FIP	25	SU	5.37	23.7%	17.2%	3.8%	.263	3.93	23.5%	5.1%	71	-1.44	3.57	197	85
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	85
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	85
Matt Blackham R 2018 · 3.93 FIP	25	SU	3.93	24.9%	15.7%	1.7%	.236	4.81	25.9%	12.0%	80	+0.88	2.08	187	85
Dakota Mekkes R 2019 · 4.58 FIP	24	SU	4.58	23.1%	15.4%	2.7%	.290	4.85	16.7%	1.8%	70	+0.27	2.94	246	85
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	85
Michael Wuertz R 2004 · 4.46 FIP	25	SU	4.46	24.2%	12.9%	3.2%	.243	3.39	26.1%	16.6%	189	-1.07	2.27	414	84
Craig Brooks R 2018 · 3.95 FIP	25	SU	3.95	23.4%	15.1%	1.7%	.260	5.58	31.1%	15.9%	59	+1.63	3.23	229	84

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.8	51	24.0%	14.5%	1.08	4.81
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*