Jake Pfennigs — OGILVIE

Jake Pfennigs P Lansing Lugnuts

Age 27 RHP 6'7" / 215 lbs A+

2027 FULL-SEASON PROJECTION0 act + 16 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 109

ERA4.87

FIP4.87

K%18.8%

BB%10.3%

K-BB%8.5%

ROS IP16

Value2026 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

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)
2022	22	MIX MLE	2 levels	7	2	8	45	10	5	0	29%	1.2	22.2%	11.1%	11.1%	0.0%	7.56	2.63	—
2022	22	MIX RAW	2 levels	7	2	8	45	10	5	0	29%	1.2	22.2%	11.1%	11.1%	0.0%	7.56	2.50	—
2023	23	A MLE	Stockton Ports	8	4	19	82	22	14	1	50%	2.4	19.9%	20.1%	-0.3%	1.7%	3.72	4.90	—
2023	23	A RAW	Stockton Ports	8	4	19	82	22	14	1	50%	2.4	26.8%	17.1%	9.8%	1.2%	3.72	3.67	—
2024	24	MIX MLE	3 levels	12	2	24	114	28	9	1	17%	2.0	21.6%	9.3%	12.3%	1.3%	6.38	3.14	—
2024	24	MIX MLE	3 levels	12	2	24	114	28	9	1	17%	2.0	21.6%	9.3%	12.3%	1.3%	6.38	3.14	—
2024	24	MIX RAW	3 levels	12	2	24	114	28	9	1	17%	2.0	24.6%	7.9%	16.7%	0.9%	6.38	2.43	—
2025	25	A+ MLE	Lansing Lugnuts	24	0	29	142	24	14	4	0%	1.2	13.0%	11.3%	1.7%	3.8%	6.83	5.54	—
2025	25	A+ MLE	Lansing Lugnuts	24	0	29	142	24	14	4	0%	1.2	13.0%	11.3%	1.7%	3.8%	6.83	5.54	—
2025	25	A+ RAW	Lansing Lugnuts	24	0	29	142	24	14	4	0%	1.2	16.9%	9.9%	7.0%	2.8%	6.83	4.69	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	OAK	15	0	16	68	13	7	2	0%	1.1	18.8%	10.3%	8.5%	3.0%	4.87	4.87	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	OAK	19	0	20	84	16	9	3	0%	1.1	19.1%	10.4%	8.8%	3.1%	4.86	4.90	-0.1
2028	28	MLB CTX	OAK	7	0	7	30	6	3	1	0%	1.0	19.1%	10.4%	8.8%	3.1%	4.86	4.90	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	6	3	1	0%	1.0	19.1%	10.4%	8.8%	3.1%	4.86	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	164	82	27	0%	1.1	19.1%	10.4%	8.8%	3.1%	4.86	4.52	+0.1
Career	—	MLE		51	8	81	383	69	48	8	16%	1.6	18.1%	12.6%	5.5%	2.2%	6.02	4.34	-0.1
/ 200 IP	—	MLE		126	20	200	950	172	120	20	16%	1.6	18.1%	12.6%	5.5%	2.2%	6.02	4.34	-0.8

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
Jake Pfennigs (OGILVIE)	—	—	4.87	18.8%	10.3%	3.0%	—	4.90	19.1%	8.8%	20	+0.03	—	—	—
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	84
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	82
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	82
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	81
Justin Lehr R 2005 · 4.58 FIP	27	SU	4.58	14.9%	10.4%	2.6%	.252	4.23	16.0%	8.0%	16	-0.35	4.23	148	81
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	81
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	81
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	81
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	80
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	80
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	80
Michael Dimock R 2017 · 4.12 FIP	27	SU	4.12	18.9%	7.8%	2.9%	.339	3.37	23.5%	12.8%	29	-0.75	3.08	166	80
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	80
Chris Hatcher R 2012 · 5.60 FIP	27	SU	5.60	15.2%	9.1%	4.8%	.298	2.68	26.4%	20.9%	95	-2.92	2.51	246	79
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	79
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	79
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	79
Zach Bryant R 2024 · 4.85 FIP	26	SU	4.85	18.0%	9.6%	3.7%	.313	4.87	16.1%	5.0%	106	+0.02	4.51	215	79
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	79
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	79