J.P. Feyereisen

P Oklahoma City Comets

Age 34 RHP 6'2" / 215 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	29	MLBTB	22	2	24	0.00	1.66	29.1%	5.8%	0.9
2024	31	MIX2 levels	43	6	54	6.04	4.96	18.1%	7.8%	-0.3	K 15.4% · BB 6.4% · FIP 5.17
2025	32	MIX2 levels	15	0	18	5.50	4.43	13.6%	3.4%	0.0	K 10.6% · BB 4.2% · FIP 3.70
2027PROJ	34	MLBLAD	50	0	53	4.30	4.30	21.5%	7.7%	0.2
2028PROJ6% MLB	35	MLBLAD	3	0	3	4.50	4.63	20.5%	8.2%	-0.0
2029PROJ0% MLB	36	MLBLAD	—	—	0	4.80	5.00	19.5%	8.8%	—

Last 3 seasons WAR 0.6 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff59Control53Command58FB velo42

CompsZack Segovia (age 33) · Rafael Martín (age 33) · Keiichi Yabu (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115107vR 99

ERA4.30

FIP4.30

K%21.5%

BB%7.7%

K-BB%13.8%

Proj IP53

Value2027 · WAR

Runs saved vs league avg · 53 IP

Grades · Arsenal · Contract

Scouting Grades

STUF6060

CTRL5555

CMD6060

K†5050

SL (21%)

FB-0.5 (35%)

CH-4.1 (44%)

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)
2015	22	MIX MLE	2 levels	46	0	48	186	56	15	2	0%	1.0	22.8%	9.4%	13.4%	1.2%	2.08	3.02	—
2015	22	MIX RAW	2 levels	46	0	48	186	56	15	2	0%	1.0	30.1%	8.1%	22.0%	1.1%	2.08	2.24	—
2016	23	AA MLE	Trenton Thunder	42	0	58	239	78	24	3	0%	1.4	26.4%	11.0%	15.4%	1.5%	1.70	3.08	—
2016	23	AA RAW	Trenton Thunder	42	0	58	239	78	24	3	0%	1.4	32.6%	10.0%	22.6%	1.3%	1.70	2.33	—
2017	24	MIX MLE	2 levels	37	0	63	258	60	27	5	0%	1.7	20.0%	11.1%	8.9%	2.0%	3.27	3.92	—
2017	24	MIX RAW	2 levels	37	0	63	258	60	27	5	0%	1.7	23.3%	10.5%	12.8%	1.9%	3.27	3.51	—
2018	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	37	0	60	251	59	25	5	0%	1.6	20.7%	10.5%	10.2%	2.1%	3.45	3.83	—
2018	25	AAA RAW	Scranton/Wilkes-Barre RailRiders	37	0	60	251	59	25	5	0%	1.6	23.5%	10.0%	13.5%	2.0%	3.45	3.47	—
2019	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	40	0	61	247	94	31	6	0%	1.5	33.5%	13.2%	20.3%	2.5%	2.49	3.29	—
2019	26	AAA RAW	Scranton/Wilkes-Barre RailRiders	40	0	61	247	94	31	6	0%	1.5	38.1%	12.6%	25.5%	2.4%	2.49	2.82	—
2020	27	MLB MLE	Milwaukee Brewers	6	0	9	37	7	5	3	0%	1.6	18.9%	13.5%	5.4%	8.1%	5.79	7.66	-0.3
2020	27	MLB RAW	Milwaukee Brewers	6	0	9	37	7	5	3	0%	1.6	18.9%	13.5%	5.4%	8.1%	5.79	7.39	-0.3
2021	28	MIX MLE	3 levels	61	0	62	256	57	34	6	0%	1.0	22.6%	14.1%	8.5%	2.2%	2.92	4.18	+0.3
2021	28	MIX RAW	3 levels	61	0	62	256	57	34	6	0%	1.0	22.3%	13.3%	9.0%	2.3%	2.92	4.17	+0.3
2022	29	MLB MLE	Tampa Bay Rays	22	2	24	86	25	5	0	9%	1.1	29.1%	5.8%	23.3%	0.0%	0.00	1.38	+0.9
2022	29	MLB RAW	Tampa Bay Rays	22	2	24	86	25	5	0	9%	1.1	29.1%	5.8%	23.3%	0.0%	0.00	1.66	+0.9
2024	31	MIX MLE	2 levels	43	6	54	232	42	18	10	14%	1.2	15.4%	6.4%	9.1%	4.7%	6.04	5.17	-0.4
2024	31	MIX MLE	2 levels	43	6	54	232	42	18	10	14%	1.2	15.4%	6.4%	9.1%	4.7%	6.04	5.17	-0.4
2024	31	MIX RAW	2 levels	43	6	54	232	42	18	10	14%	1.2	18.1%	7.8%	10.3%	4.3%	6.04	4.96	-0.3
2025	32	MIX MLE	2 levels	15	0	18	88	12	3	3	0%	1.2	10.6%	4.2%	6.4%	1.8%	5.50	3.70	+0.2
2025	32	MIX MLE	2 levels	15	0	18	88	12	3	3	0%	1.2	10.6%	4.2%	6.4%	1.8%	5.50	3.70	+0.2
2025	32	MIX RAW	2 levels	15	0	18	88	12	3	3	0%	1.2	13.6%	3.4%	10.2%	3.4%	5.50	4.43	+0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			97	2	105	428	98	48	13	2%	1.1	22.9%	11.2%	11.7%	3.0%	3.27	4.22	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	34	MLB	LAD	50	0	53	224	48	17	7	0%	1.1	21.5%	7.7%	13.8%	3.0%	4.30	4.30	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	35	MLB MLE	LAD	45	0	47	200	41	16	7	0%	1.1	20.5%	8.2%	12.3%	3.4%	4.50	4.63	-0.0
2029	36	MLB MLE	LAD	40	0	42	177	34	16	7	0%	1.0	19.5%	8.8%	10.7%	3.7%	4.80	5.00	-0.2
2028	35	MLB CTX	LAD	3	0	3	13	3	1	0	0%	1.0	20.5%	8.2%	12.3%	3.4%	4.50	4.63	-0.0
2029	36	MLB CTX	LAD	—	—	0	—	—	—	—	—	—	19.5%	8.8%	10.7%	3.7%	4.80	5.00	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		99	2	107	439	100	49	13	2%	1.1	22.8%	11.1%	11.7%	3.0%	3.30	4.25	+0.4
/ 200 IP	—	RAW		185	4	200	818	186	91	24	2%	1.1	22.8%	11.1%	11.7%	3.0%	3.30	4.25	+0.7
Career	—	MLE		349	8	458	1880	427	196	43	2%	1.3	22.7%	10.4%	12.3%	2.3%	3.11	3.77	+0.1
/ 200 IP	—	MLE		153	3	200	822	187	86	19	2%	1.3	22.7%	10.4%	12.3%	2.3%	3.11	3.77	+0.1

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
J.P. Feyereisen (OGILVIE)	—	—	4.30	21.5%	7.7%	3.0%	—	4.80	20.0%	11.5%	89	+0.50	—	—	—
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	81
Rafael Martín R 2017 · 3.40 FIP	33	SU	3.40	20.4%	5.1%	2.5%	.305	4.71	22.5%	16.5%	47	+1.31	2.94	227	78
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	78
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	78
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	77
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	77
Jean Machi R 2016 · 4.36 FIP	34	SU	4.36	18.3%	6.6%	3.6%	.282	4.12	18.6%	12.0%	67	-0.24	2.16	306	77
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	191	76
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	76
Diego Moreno R 2021 · 4.75 FIP	34	SU	4.75	18.6%	9.4%	3.7%	.232	—	—	—	—	—	2.29	187	74
Brendan Donnelly R 2005 · 4.02 FIP	34	SU	4.02	19.6%	5.9%	3.3%	.264	4.02	17.6%	8.5%	98	-0.00	2.23	385	71
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	70
Scott Atchison R 2010 · 4.59 FIP	34	SU	4.59	16.2%	6.7%	3.6%	.263	2.98	15.7%	11.1%	127	-1.61	2.52	340	69
Greg Burke R 2015 · 3.61 FIP	32	SU	3.61	22.1%	7.3%	2.7%	.241	—	—	—	—	—	3.61	139	68
Giovanni Carrara R 2002 · 4.78 FIP	34	SU	4.78	14.5%	7.2%	3.6%	.239	3.83	17.1%	7.9%	158	-0.95	2.50	462	67
Willie Eyre R 2011 · 4.18 FIP	33	SU	4.18	13.9%	6.9%	2.5%	.182	—	—	—	—	—	2.87	164	67
Blake Parker R 2019 · 4.65 FIP	34	SU	4.65	25.5%	8.6%	4.8%	.258	4.26	24.9%	15.4%	87	-0.39	2.52	406	67
Fernando Rodriguez Jr. R 2018 · 4.07 FIP	34	SW	4.07	23.7%	9.9%	3.1%	.253	5.11	25.0%	13.8%	32	+1.04	3.34	335	66
Chris Nichting R 2001 · 4.11 FIP	35	SU	4.11	21.2%	3.7%	4.2%	.351	4.67	16.6%	13.3%	36	+0.56	4.11	103	66
Rodolfo Aguirre R 2019 · 4.50 FIP	34	SU	4.50	21.3%	5.1%	4.7%	.244	—	—	—	—	—	3.39	212	66

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	1.2	49	21.5%	9.5%	1.24	3.99
John Johnstone ('00)	1.4	56	19.4%	9.5%	1.23	4.01
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Neal Cotts ('15)	2.2	63	21.9%	10.1%	1.18	3.96
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*