Jack Seppings

P Biloxi Shuckers

Age 25 RHP 6'1" / 190 lbs AA

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ACarolina Mudc…	3	0	4	9.00	4.35	9.5%	14.3%	—	K 9.5% · BB 14.3% · FIP 4.11
2025	23	MIX2 levels	37	0	61	3.67	3.77	20.5%	13.9%	—	K 15.5% · BB 16.2% · FIP 4.46
2026	24	MIX3 levels	28	1	77	4.09	3.89	16.7%	6.6%	—	K 13.1% · BB 6.9% · FIP 4.72
2027PROJ	25	MLBMIL	45	0	47	5.09	5.09	14.8%	9.8%	-0.3
2028PROJ44% MLB	26	MLBMIL	29	0	30	4.95	4.91	16.9%	9.7%	-0.1
2029PROJ63% MLB	27	MLBMIL	41	0	43	4.91	4.91	17.3%	9.8%	-0.2

Next 3 projected WAR -0.6Projected 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%

CompsConor Steinbaugh (age 25) · Juan Paniagua (age 25) · Raul Fernandez (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.09

FIP5.09

K%14.8%

BB%9.8%

K-BB%5.0%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Contract

Scouting Grades

K†3040

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)
2024	22	A MLE	Carolina Mudcats	3	0	4	21	2	3	0	0%	1.3	9.5%	14.3%	-4.8%	0.0%	9.00	4.11	—
2024	22	A MLE	Carolina Mudcats	3	0	4	21	2	3	0	0%	1.3	9.5%	14.3%	-4.8%	0.0%	9.00	4.11	—
2024	22	A RAW	Carolina Mudcats	3	0	4	21	2	3	0	0%	1.3	9.5%	14.3%	-4.8%	0.0%	9.00	4.35	—
2025	23	MIX MLE	2 levels	37	0	61	273	56	38	3	0%	1.7	15.5%	16.2%	-0.7%	1.1%	3.67	4.46	—
2025	23	MIX MLE	2 levels	37	0	61	273	56	38	3	0%	1.7	15.5%	16.2%	-0.7%	1.1%	3.67	4.46	—
2025	23	MIX RAW	2 levels	37	0	61	273	56	38	3	0%	1.7	20.5%	13.9%	6.6%	1.1%	3.67	3.77	—
2026	24	MIX MLE	3 levels	28	1	77	318	53	21	8	4%	2.8	13.1%	6.9%	6.2%	3.4%	4.09	4.72	—
2026	24	MIX MLE	3 levels	28	1	77	318	53	21	8	4%	2.8	13.1%	6.9%	6.2%	3.4%	4.09	4.72	—
2026	24	MIX RAW	3 levels	28	1	77	318	53	21	8	4%	2.8	16.7%	6.6%	10.1%	2.5%	4.09	3.89	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	MIL	45	0	47	198	29	19	6	0%	1.0	14.8%	9.8%	5.0%	3.0%	5.09	5.09	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	MIL	66	0	69	293	49	28	9	0%	1.1	16.9%	9.7%	7.1%	3.0%	4.95	4.91	-0.3
2029	27	MLB MLE	MIL	65	0	68	288	50	28	9	0%	1.1	17.3%	9.8%	7.6%	3.0%	4.91	4.91	-0.3
2030	28	MLB MLE	MIL	63	0	66	280	49	28	9	0%	1.1	17.5%	9.9%	7.6%	3.1%	4.93	4.96	-0.3
2031	29	MLB MLE	MIL	60	0	63	267	47	27	9	0%	1.1	17.4%	10.1%	7.3%	3.3%	5.01	5.08	-0.4
2028	26	MLB CTX	MIL	29	0	30	127	21	12	4	0%	1.0	16.9%	9.7%	7.1%	3.0%	4.95	4.91	-0.1
2029	27	MLB CTX	MIL	41	0	43	182	31	18	5	0%	1.0	17.3%	9.8%	7.6%	3.0%	4.91	4.91	-0.2
2030	28	MLB CTX	MIL	48	0	50	211	37	21	7	0%	1.0	17.5%	9.9%	7.6%	3.1%	4.93	4.96	-0.2
2031	29	MLB CTX	MIL	50	0	52	220	38	22	7	0%	1.0	17.4%	10.1%	7.3%	3.3%	5.01	5.08	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		167	0	175	741	128	73	23	0%	1.1	17.3%	9.9%	7.5%	3.1%	4.95	4.59	-0.1
/ 200 IP	—	RAW		190	0	200	844	146	83	26	0%	1.1	17.3%	9.9%	7.5%	3.1%	4.95	4.59	-0.1
Career	—	MLE		68	1	142	612	86	69	14	1%	2.1	14.0%	11.3%	2.7%	2.2%	4.05	4.58	-1.3
/ 200 IP	—	MLE		96	1	200	860	121	97	19	1%	2.1	14.0%	11.3%	2.7%	2.2%	4.05	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
Jack Seppings (OGILVIE)	—	—	5.09	14.8%	9.8%	3.0%	—	4.93	17.2%	7.4%	204	-0.16	—	—	—
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	90
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	89
Raul Fernandez R 2015 · 4.03 FIP	25	SU	4.03	14.2%	9.4%	1.7%	.285	4.79	16.1%	5.0%	103	+0.76	4.03	165	87
El'Hajj Muhammad R 2016 · 4.58 FIP	25	SU	4.58	13.6%	10.0%	2.5%	.285	5.01	7.1%	-2.5%	11	+0.43	4.58	113	86
Nick Trogrlic-Iverson R 2023 · 4.59 FIP	25	SU	4.59	15.1%	10.4%	2.6%	.301	—	—	—	—	—	3.30	218	86
Pedro Echemendia R 2016 · 4.79 FIP	25	SU	4.79	15.0%	8.0%	3.5%	.286	4.31	11.0%	5.9%	72	-0.48	4.31	141	86
Junior Lopez R 2016 · 3.89 FIP	25	SU	3.89	15.7%	9.9%	1.6%	.302	—	—	—	—	—	3.40	128	85
Jonathan Brand R 2024 · 4.61 FIP	24	SU	4.61	13.6%	10.6%	2.4%	.284	4.87	22.0%	11.9%	115	+0.26	3.34	198	85
Ross Ohlendorf R 2008 · 4.73 FIP	25	SW	4.73	16.3%	9.3%	3.3%	.357	4.63	15.4%	7.7%	324	-0.10	3.30	617	84
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	84
Scott Burke R 2019 · 5.27 FIP	25	SU	5.27	14.9%	8.2%	4.3%	.250	—	—	—	—	—	4.55	119	84
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	84
Jack Jasiak R 2024 · 4.59 FIP	23	SU	4.59	15.2%	8.6%	3.1%	.332	3.39	22.3%	15.0%	126	-1.20	3.24	262	84
Garrett Farmer R 2022 · 4.55 FIP	25	SU	4.55	13.4%	8.3%	2.8%	.250	—	—	—	—	—	1.40	127	84
Josh Hejka R 2022 · 4.65 FIP	25	SU	4.65	16.7%	10.8%	2.9%	.363	3.93	15.8%	8.7%	77	-0.72	2.91	202	84
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	84
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	83
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	83
Jack Carey R 2024 · 5.32 FIP	24	SU	5.32	15.6%	11.3%	3.8%	.305	4.27	19.6%	5.3%	88	-1.05	3.79	250	83
Jacinto Arredondo R 2022 · 4.89 FIP	24	SU	4.89	15.7%	10.7%	3.2%	.375	—	—	—	—	—	4.89	101	83

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	1.6	63	16.9%	9.9%	1.19	4.97
Vic Darensbourg ('05)	1.5	50	17.0%	9.3%	1.01	4.96
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Tom Martin ('07)	1.6	53	15.8%	10.1%	1.02	4.92
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*