Jared Koenig — OGILVIE

Jared Koenig P Nashville Sounds

Age 32 LHP 6'5" / 244 lbs AAA peak 0.5 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION25 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 7381vR 90

ERA3.25

FIP3.45

K%22.7%

BB%7.4%

K-BB%15.3%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5555

K†5555

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p3322.9%

p6725.4%

xwOBA vs

p900.263

FB+0.7 (49%)

SI (48%)

CU (5%)

CH-0.5 (19%)

CT-0.9 (27%)

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)
2021	27	AA MLE	Midland RockHounds	24	21	121	505	100	43	14	88%	5.1	16.0%	9.4%	6.7%	4.0%	3.26	5.11	—
2021	27	AA RAW	Midland RockHounds	24	21	121	505	100	43	14	88%	5.1	19.8%	8.5%	11.3%	2.8%	3.26	4.01	—
2022	28	MIX MLE	2 levels	30	23	146	627	126	45	17	77%	4.9	18.1%	7.4%	10.7%	2.8%	4.98	4.06	+1.5
2022	28	MIX RAW	2 levels	30	23	146	627	126	45	17	77%	4.9	20.1%	7.2%	12.9%	2.7%	4.98	3.81	+1.9
2023	29	MIX MLE	2 levels	48	1	59	278	70	27	8	2%	1.2	20.7%	9.2%	11.6%	3.0%	3.81	4.16	—
2023	29	MIX MLE	2 levels	48	1	59	278	70	27	8	2%	1.2	20.7%	9.2%	11.6%	3.0%	3.81	4.16	—
2023	29	MIX RAW	2 levels	48	1	59	278	70	27	8	2%	1.2	25.2%	9.7%	15.5%	2.9%	3.81	3.86	—
2024	30	MIX MLE	2 levels	61	6	69	288	74	21	4	10%	1.1	23.8%	7.2%	16.6%	1.4%	2.36	2.79	+1.4
2024	30	MIX MLE	2 levels	61	6	69	288	74	21	4	10%	1.1	23.8%	7.2%	16.6%	1.4%	2.36	2.79	+1.4
2024	30	MIX RAW	2 levels	61	6	69	288	74	21	4	10%	1.1	25.7%	7.3%	18.4%	1.4%	2.36	2.62	+1.6
2025	31	MLB MLE	Milwaukee Brewers	72	0	66	268	68	19	6	0%	0.9	25.4%	7.1%	18.3%	2.1%	2.86	3.03	+1.2
2025	31	MLB MLE	Milwaukee Brewers	72	0	66	268	68	19	6	0%	0.9	25.4%	7.1%	18.3%	2.1%	2.86	3.03	+1.2
2025	31	MLB RAW	Milwaukee Brewers	72	0	66	268	68	19	6	0%	0.9	25.4%	7.1%	18.3%	2.2%	2.86	3.08	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			146	11	174	751	160	57	15	8%	1.2	21.3%	7.6%	13.7%	2.0%	3.61	3.36	+2.5
▸ 2026 season
YTD	32	MLB MLE	Milwaukee Brewers	29	0	25	117	23	13	1	0%	0.9	17.5%	10.7%	6.8%	0.0%	4.26	2.97	—
YTD	32	MLB MLE	Milwaukee Brewers	29	0	25	117	23	13	1	0%	0.9	17.5%	10.7%	6.8%	0.0%	4.26	2.97	—
▸ 2026 season — so far · projected rest · full
2026	32	AAA RAW	MIL	20	0	18	76	16	9	0	0%	0.9	21.1%	11.8%	9.2%	0.0%	2.45	2.82	—
2026	32	MLB RAW	MIL	9	0	7	41	7	4	1	0%	0.8	17.1%	9.8%	7.3%	2.4%	9.00	4.23	—
SO FAR	32	MLB RAW	MIL	9	0	7	41	7	4	1	0%	0.8	17.1%	9.8%	7.3%	2.4%	9.00	4.23	—
ROS	32	MLB MLE	MIL	5	0	5	22	5	2	1	0%	1.0	22.7%	7.4%	15.3%	2.4%	3.25	3.45	+0.1
ROS	32	MLB CTX	MIL	5	0	5	21	5	2	1	0%	1.0	22.7%	7.4%	15.3%	2.4%	3.25	3.45	+0.1
2026 TOT	32	MLB MLE	MIL	—	—	31	139	28	15	2	—	—	20.1%	10.5%	9.6%	1.1%	4.09	3.06	+0.6
FULL	32	MLB A+C	MIL	—	—	12	52	28	15	2	—	—	54.2%	28.3%	25.9%	3.0%	10.21	3.74	+0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	MIL	54	0	57	241	53	19	7	0%	1.1	21.9%	7.8%	14.0%	2.7%	3.94	4.13	+0.3
2028	34	MLB MLE	MIL	50	0	52	220	46	18	7	0%	1.0	21.0%	8.3%	12.6%	3.0%	4.24	4.44	+0.1
2027	33	MLB CTX	MIL	51	0	54	228	50	18	6	0%	1.1	21.9%	7.8%	14.0%	2.7%	3.94	4.13	+0.3
2028	34	MLB CTX	MIL	45	0	47	198	42	17	6	0%	1.0	21.0%	8.3%	12.6%	3.0%	4.24	4.44	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		247	11	281	1201	257	93	28	4%	1.1	21.4%	7.8%	13.6%	2.3%	3.77	3.55	+3.3
/ 200 IP	—	RAW		176	8	200	855	183	66	20	4%	1.1	21.4%	7.8%	13.6%	2.3%	3.77	3.55	+2.4
Career	—	MLE		264	51	487	2083	409	171	56	19%	1.8	19.6%	8.2%	11.4%	2.7%	3.72	3.96	+2.9
/ 200 IP	—	MLE		108	21	200	856	168	70	23	19%	1.8	19.6%	8.2%	11.4%	2.7%	3.72	3.96	+2.0

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
Jared Koenig (OGILVIE)	—	—	3.75	23.5%	7.1%	2.5%	—	4.28	21.4%	13.3%	109	+0.53	—	—	—
Fernando Abad L 2017 · 3.53 FIP	31	SU	3.53	20.3%	7.1%	2.2%	.281	2.37	23.3%	21.0%	44	-1.16	2.37	306	74
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.80	223	74
Ryan Buchter L 2019 · 4.75 FIP	32	SU	4.75	25.3%	10.6%	4.4%	.286	5.24	22.9%	9.7%	32	+0.49	2.37	296	71
Wilfredo Ledezma L 2015 · 2.58 FIP	34	SU	2.58	24.2%	9.2%	0.7%	.307	3.30	22.6%	14.3%	71	+0.72	2.58	109	71
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	70
Mike Dunn L 2017 · 4.29 FIP	32	SU	4.29	25.9%	12.7%	3.2%	.276	5.11	17.3%	2.6%	35	+0.82	3.71	181	69
Dan Jennings L 2018 · 3.88 FIP	31	SU	3.88	16.6%	8.1%	2.1%	.303	—	—	—	—	—	3.11	244	69
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	69
Jeremy Bleich L 2019 · 4.41 FIP	32	SW	4.41	20.1%	7.0%	3.9%	.360	—	—	—	—	—	3.20	241	69
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	68
Heriberto Ruelas L 2015 · 2.95 FIP	33	SU	2.95	19.1%	7.3%	1.0%	.352	3.57	16.2%	8.5%	89	+0.62	2.95	117	68
Justin Wilson L 2020 · 2.66 FIP	32	SU	2.66	26.7%	9.3%	1.2%	.315	4.86	19.5%	8.8%	34	+2.20	2.49	420	68
Sean Doolittle L 2019 · 3.91 FIP	32	SU	3.91	25.4%	5.0%	4.2%	.306	4.00	23.8%	14.8%	50	+0.09	1.39	259	67
Oliver Pérez L 2015 · 2.88 FIP	33	SU	2.88	27.9%	7.1%	2.2%	.304	2.63	28.3%	21.7%	119	-0.25	1.58	219	67
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	67
Josh Edgin L 2018 · 3.63 FIP	31	SU	3.63	29.2%	9.2%	3.3%	.324	—	—	—	—	—	3.63	113	66
Caleb Thielbar L 2019 · 3.05 FIP	32	SU	3.05	25.9%	5.3%	2.7%	.337	2.71	30.2%	22.6%	143	-0.34	2.22	505	66
Vidal Nuño L 2019 · 4.40 FIP	32	SU	4.40	20.2%	8.7%	3.5%	.376	4.88	16.0%	11.1%	53	+0.48	4.00	424	66
Grant Dayton L 2020 · 3.75 FIP	32	SU	3.75	27.4%	8.5%	3.4%	.254	3.84	23.2%	13.8%	62	+0.09	1.63	277	66
Jose Alvarez L 2021 · 3.07 FIP	32	SU	3.07	15.8%	6.8%	0.8%	.250	5.11	19.7%	9.2%	15	+2.04	2.78	375	65

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	0.8	55	22.1%	7.8%	1.06	3.90
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42