Jarret Whorff

P Wichita Wind Surge

Age 28 RHP 6'3" / 195 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	33	5	71	2.66	3.10	24.5%	9.1%	—	K 18.9% · BB 10.2% · FIP 4.04
2025	26	MIX2 levels	42	0	73	5.55	3.66	25.4%	7.7%	—	K 21.3% · BB 7.2% · FIP 3.88
2026	27	MIX2 levels	40	0	50	9.30	4.65	21.8%	7.4%	—	K 17.2% · BB 8.3% · FIP 5.44
2027PROJ	28	MLBMIN	66	0	69	4.83	4.83	18.4%	8.2%	-0.2
2028PROJ31% MLB	29	MLBMIN	20	0	21	4.86	4.91	18.6%	8.5%	-0.1
2029PROJ51% MLB	30	MLBMIN	30	0	32	4.95	5.04	18.6%	8.9%	-0.2

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command50

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsTyler Walker (age 28) · Shawn Camp (age 28) · J.J. Putz (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.83

FIP4.83

K%18.4%

BB%8.2%

K-BB%10.1%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4545

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)
2023	24	MIX MLE	2 levels	25	5	64	272	71	33	4	20%	2.5	19.5%	14.2%	5.2%	1.8%	3.25	4.24	—
2023	24	MIX RAW	2 levels	25	5	64	272	71	33	4	20%	2.5	26.1%	12.1%	14.0%	1.5%	3.25	3.24	—
2024	25	MIX MLE	3 levels	33	5	71	298	73	27	5	15%	2.2	18.9%	10.2%	8.8%	2.3%	2.66	4.04	—
2024	25	MIX MLE	3 levels	33	5	71	298	73	27	5	15%	2.2	18.9%	10.2%	8.8%	2.3%	2.66	4.04	—
2024	25	MIX RAW	3 levels	33	5	71	298	73	27	5	15%	2.2	24.5%	9.1%	15.4%	1.7%	2.66	3.10	—
2025	26	MIX MLE	2 levels	42	0	73	323	82	25	10	0%	1.7	21.3%	7.2%	14.1%	3.0%	5.55	3.88	—
2025	26	MIX MLE	2 levels	42	0	73	323	82	25	10	0%	1.7	21.3%	7.2%	14.1%	3.0%	5.55	3.88	—
2025	26	MIX RAW	2 levels	42	0	73	323	82	25	10	0%	1.7	25.4%	7.7%	17.6%	3.1%	5.55	3.66	—
2026	27	MIX MLE	2 levels	40	0	50	243	53	18	10	0%	1.3	17.2%	8.3%	8.8%	5.0%	9.30	5.44	—
2026	27	MIX MLE	2 levels	40	0	50	243	53	18	10	0%	1.3	17.2%	8.3%	8.8%	5.0%	9.30	5.44	—
2026	27	MIX RAW	2 levels	40	0	50	243	53	18	10	0%	1.3	21.8%	7.4%	14.4%	4.1%	9.30	4.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	MIN	66	0	69	291	53	24	10	0%	1.0	18.4%	8.2%	10.1%	3.4%	4.83	4.83	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	MIN	63	0	66	280	52	24	10	0%	1.1	18.6%	8.5%	10.1%	3.5%	4.86	4.91	-0.3
2029	30	MLB MLE	MIN	59	0	62	263	49	23	10	0%	1.1	18.6%	8.9%	9.7%	3.7%	4.95	5.04	-0.3
2028	29	MLB CTX	MIN	20	0	21	89	17	8	3	0%	1.1	18.6%	8.5%	10.1%	3.5%	4.86	4.91	-0.1
2029	30	MLB CTX	MIN	30	0	32	135	25	12	5	0%	1.1	18.6%	8.9%	9.7%	3.7%	4.95	5.04	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		50	0	53	222	41	19	8	0%	1.1	18.6%	8.8%	9.9%	3.6%	4.91	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	156	72	30	0%	1.1	18.6%	8.8%	9.9%	3.6%	4.91	4.61	-0.1
Career	—	MLE		140	10	258	1136	220	113	34	7%	1.8	19.4%	9.9%	9.5%	3.0%	4.92	4.34	-0.6
/ 200 IP	—	MLE		109	8	200	881	171	87	26	7%	1.8	19.4%	9.9%	9.5%	3.0%	4.92	4.34	-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
Jarret Whorff (OGILVIE)	—	—	4.83	18.4%	8.2%	3.4%	—	4.97	18.6%	9.9%	128	+0.14	—	—	—
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	90
Shawn Camp R 2004 · 4.18 FIP	28	SU	4.18	17.8%	5.2%	3.5%	.305	3.88	15.5%	10.5%	164	-0.30	2.79	589	86
J.J. Putz R 2005 · 4.36 FIP	28	SU	4.36	17.4%	8.1%	3.1%	.270	2.24	31.4%	25.1%	196	-2.12	1.43	563	84
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	84
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	83
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	83
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	83
A.J. Schugel R 2017 · 4.01 FIP	28	SU	4.01	20.1%	8.1%	2.9%	.307	6.37	17.6%	10.6%	13	+2.36	2.80	299	83
Jhan Mariñez R 2017 · 3.97 FIP	28	SU	3.97	17.2%	8.8%	2.2%	.309	4.09	21.2%	13.3%	48	+0.12	3.16	253	83
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	82
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	82
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	82
Geoff Geary R 2005 · 3.65 FIP	28	SU	3.65	17.0%	6.9%	2.0%	.268	3.57	15.1%	9.0%	223	-0.08	3.16	345	82
Santiago Casilla R 2008 · 3.71 FIP	28	SU	3.71	18.8%	7.9%	2.2%	.337	3.37	20.6%	10.4%	155	-0.34	2.76	647	82
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	81
Troy Neiman R 2017 · 4.03 FIP	26	SU	4.03	18.1%	8.3%	2.5%	.282	—	—	—	—	—	4.03	199	81
Woo-Suk Go R 2024 · 4.80 FIP	25	SU	4.80	17.3%	8.8%	3.7%	.359	4.16	21.5%	10.2%	64	-0.64	3.57	116	80
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	80
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	80

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	1.0	66	18.5%	8.5%	1.36	4.88
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*