Brad Deppermann — OGILVIE

Brad Deppermann P Richmond Flying Squirrels

Age 30 RHP 5'11" / 215 lbs AA peak 0.1 · 2026

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 57 proj IP

wRC+ AGAINSTvL 110102vR 94

ERA4.06

FIP4.06

K%18.2%

BB%6.3%

K-BB%11.9%

ROS IP58

Value2026 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL6060

CMD5050

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 + 2026 so far)
2019	23	ROK MLE	AZL Cubs 2	3	0	4	15	4	1	0	0%	1.2	26.7%	6.7%	20.0%	0.0%	2.45	1.69	—
2019	23	ROK RAW	AZL Cubs 2	3	0	4	15	4	1	0	0%	1.2	26.7%	6.7%	20.0%	0.0%	2.45	1.74	—
2021	25	A+ MLE	South Bend Cubs	17	5	41	180	40	15	4	29%	2.4	17.1%	9.6%	7.5%	3.0%	5.53	4.51	—
2021	25	A+ RAW	South Bend Cubs	17	5	41	180	40	15	4	29%	2.4	22.2%	8.3%	13.9%	2.2%	5.53	3.52	—
2022	26	MIX MLE	2 levels	18	0	22	102	22	17	0	0%	1.2	17.3%	19.4%	-2.1%	0.0%	3.68	4.09	—
2022	26	MIX RAW	2 levels	18	0	22	102	22	17	0	0%	1.2	21.6%	16.7%	4.9%	0.0%	3.68	3.42	—
2023	27	A+ MLE	South Bend Cubs	10	0	14	61	18	5	2	0%	1.4	22.7%	9.4%	13.3%	3.4%	5.93	4.25	—
2023	27	A+ MLE	South Bend Cubs	10	0	14	61	18	5	2	0%	1.4	22.7%	9.4%	13.3%	3.4%	5.93	4.25	—
2023	27	A+ RAW	South Bend Cubs	10	0	14	61	18	5	2	0%	1.4	29.5%	8.2%	21.3%	3.3%	5.93	3.47	—
2024	28	MIX MLE	3 levels	19	0	27	107	30	6	0	0%	1.4	20.9%	4.8%	16.1%	0.0%	0.67	1.94	—
2024	28	MIX MLE	3 levels	19	0	27	107	30	6	0	0%	1.4	20.9%	4.8%	16.1%	0.0%	0.67	1.94	—
2024	28	MIX RAW	3 levels	19	0	27	107	30	6	0	0%	1.4	28.0%	5.6%	22.4%	0.0%	0.67	1.54	—
2025	29	AA MLE	Knoxville Smokies	41	0	46	188	42	11	0	0%	1.1	18.1%	6.4%	11.7%	0.0%	2.76	2.39	—
2025	29	AA MLE	Knoxville Smokies	41	0	46	188	42	11	0	0%	1.1	18.1%	6.4%	11.7%	0.0%	2.76	2.39	—
2025	29	AA RAW	Knoxville Smokies	41	0	46	188	42	11	0	0%	1.1	22.3%	5.9%	16.5%	0.0%	2.76	1.98	—
▸ 2026 season
YTD	30	AA MLE	Richmond Flying Squirrels	11	0	12	55	16	4	3	0%	1.1	23.6%	8.0%	15.6%	6.5%	5.25	5.72	—
YTD	30	AA MLE	Richmond Flying Squirrels	11	0	12	55	16	4	3	0%	1.1	23.6%	8.0%	15.6%	6.5%	5.25	5.72	—
▸ 2026 season — so far · projected rest · full
2026	30	AA RAW	SF	11	0	12	55	16	4	3	0%	1.1	29.1%	7.3%	21.8%	5.5%	5.25	4.56	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	SF	51	0	54	227	42	16	6	0%	1.1	18.4%	7.0%	11.4%	2.7%	4.21	4.29	+0.2
2028	32	MLB MLE	SF	47	0	50	210	38	16	6	0%	1.1	18.3%	7.5%	10.8%	3.0%	4.39	4.52	+0.0
2027	31	MLB CTX	SF	16	0	17	72	13	5	2	0%	1.1	18.4%	7.0%	11.4%	2.7%	4.21	4.29	+0.1
2028	32	MLB CTX	SF	25	0	26	110	20	8	3	0%	1.0	18.3%	7.5%	10.8%	3.0%	4.39	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	179	33	13	5	0%	1.1	18.3%	7.3%	11.0%	2.9%	4.32	4.05	+0.3
/ 200 IP	—	RAW		190	0	200	844	156	61	24	0%	1.1	18.3%	7.3%	11.0%	2.9%	4.32	4.05	+1.2
Career	—	MLE		119	5	165	708	136	65	11	4%	1.4	19.2%	9.2%	9.9%	1.6%	3.66	3.51	+0.2
/ 200 IP	—	MLE		145	6	200	860	165	79	13	4%	1.4	19.2%	9.2%	9.9%	1.6%	3.66	3.51	+0.4

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
Brad Deppermann (OGILVIE)	—	—	4.06	18.2%	6.3%	2.4%	—	4.40	18.3%	11.1%	104	+0.34	—	—	—
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	90
Jim Johnson R 2015 · 3.34 FIP	32	SU	3.34	17.2%	6.2%	1.7%	.330	3.63	22.0%	14.1%	185	+0.29	2.56	251	89
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	88
Chris Martin R 2015 · 3.24 FIP	29	SU	3.24	18.1%	7.0%	1.4%	.319	3.04	20.9%	19.2%	42	-0.20	1.76	416	88
Carlos Torres R 2015 · 3.19 FIP	32	SU	3.19	19.8%	4.9%	2.1%	.315	3.67	20.8%	12.4%	206	+0.48	2.89	326	86
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	85
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	85
Matt Albers R 2015 · 3.19 FIP	32	SU	3.19	18.8%	4.7%	2.0%	.252	4.45	20.4%	13.3%	147	+1.26	3.15	244	85
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	84
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	84
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	84
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	82
Tommy Hunter R 2016 · 3.12 FIP	30	SU	3.12	16.0%	4.6%	1.5%	.299	3.15	23.3%	17.7%	123	+0.03	2.78	316	82
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	81
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	81
Tom Wilhelmsen R 2015 · 3.07 FIP	31	SU	3.07	22.5%	9.7%	1.1%	.298	5.78	13.8%	4.1%	86	+2.71	3.07	148	80
Bo Schultz R 2016 · 3.90 FIP	30	SU	3.90	14.4%	5.2%	2.5%	.276	2.73	16.4%	8.4%	27	-1.17	2.73	141	80
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	80
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	80

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	54	18.3%	6.9%	1.04	4.21
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
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Alex Claudio ('21)	1.5	59	16.3%	6.1%	0.76	3.66
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45