J.P. Feyereisen — OGILVIE

J.P. Feyereisen P Oklahoma City Comets

Age 33 RHP 6'2" / 215 lbs AAA

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 122114vR 106

ERA4.67

FIP4.67

K%14.4%

BB%5.5%

K-BB%8.9%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Arsenal · Contract

Scouting Grades

STUF6060

CTRL5555

CMD6060

K†3030

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 + 2026 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	14.9%	6.4%	8.5%	4.7%	6.04	5.21	-0.4
2024	31	MIX MLE	2 levels	43	6	54	232	42	18	10	14%	1.2	14.9%	6.4%	8.5%	4.7%	6.04	5.21	-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	10.2%	4.2%	6.1%	1.8%	5.50	3.74	+0.2
2025	32	MIX MLE	2 levels	15	0	18	88	12	3	3	0%	1.2	10.2%	4.2%	6.1%	1.8%	5.50	3.74	+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
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	LAD	5	0	5	21	3	1	1	0%	1.0	14.4%	5.5%	8.9%	3.1%	4.67	4.67	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	LAD	46	0	49	206	28	12	7	0%	1.1	13.5%	6.0%	7.5%	3.4%	4.85	4.97	-0.2
2028	35	MLB MLE	LAD	42	0	44	185	23	12	7	0%	1.0	12.6%	6.6%	6.0%	3.8%	5.12	5.31	-0.4
2027	34	MLB CTX	LAD	3	0	3	13	2	1	0	0%	1.0	13.5%	6.0%	7.5%	3.4%	4.85	4.97	-0.0
2028	35	MLB CTX	LAD	—	—	0	—	—	—	—	—	—	12.6%	6.6%	6.0%	3.8%	5.12	5.31	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		100	2	108	441	100	49	13	2%	1.1	22.6%	11.1%	11.6%	3.0%	3.31	4.27	+0.4
/ 200 IP	—	RAW		185	4	200	819	186	91	24	2%	1.1	22.6%	11.1%	11.6%	3.0%	3.31	4.27	+0.7
Career	—	MLE		349	8	458	1880	425	196	43	2%	1.3	22.6%	10.4%	12.2%	2.3%	3.11	3.77	-0.2
/ 200 IP	—	MLE		153	3	200	822	186	86	19	2%	1.3	22.6%	10.4%	12.2%	2.3%	3.11	3.77	-0.2

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)	—	—	4.67	14.4%	5.5%	3.1%	—	5.13	13.1%	6.8%	92	+0.46	—	—	—
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	80
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	78
Tyler Sturdevant R 2017 · 4.48 FIP	31	SU	4.48	13.5%	6.7%	3.0%	.300	—	—	—	—	—	3.44	149	77
Ronald Belisario R 2015 · 3.71 FIP	32	SU	3.71	11.8%	6.3%	1.5%	.254	2.10	18.4%	14.0%	48	-1.61	2.10	126	76
Pedro Rodriguez R 2019 · 4.14 FIP	31	SU	4.14	14.7%	4.9%	3.0%	.368	—	—	—	—	—	3.21	145	75
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	75
Miguel Socolovich R 2019 · 3.55 FIP	33	SU	3.55	18.4%	4.7%	2.6%	.336	—	—	—	—	—	2.65	283	75
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	74
Brian Schlitter R 2019 · 4.40 FIP	33	SU	4.40	14.8%	6.3%	3.2%	.331	4.70	14.9%	5.8%	48	+0.30	3.28	244	74
Matt Albers R 2016 · 5.27 FIP	33	SU	5.27	12.7%	7.6%	4.2%	.318	4.05	23.7%	15.5%	155	-1.22	3.15	244	74
Blaine Boyer R 2015 · 3.79 FIP	34	SU	3.79	12.3%	5.6%	1.9%	.265	4.07	12.5%	5.9%	144	+0.28	3.24	209	74
Junichi Tazawa R 2019 · 4.16 FIP	33	SU	4.16	17.0%	8.4%	2.6%	.306	—	—	—	—	—	2.94	227	73
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	73
Casey Fien R 2017 · 5.10 FIP	33	SU	5.10	15.8%	4.0%	5.1%	.330	—	—	—	—	—	3.42	136	73
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	72
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	72
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	72
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	72
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	72
Fernando Villalobos R 2017 · 4.70 FIP	32	SU	4.70	10.6%	8.0%	2.7%	.313	—	—	—	—	—	4.00	152	72

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.7	49	13.6%	6.0%	1.32	4.86
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79