Brad Deppermann

P Richmond Flying Squirrels

Age 31 RHP 5'11" / 215 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX3 levels	19	27	0.67	1.54	28.0%	5.6%	—	K 20.9% · BB 4.8% · FIP 1.94
2025	29	AACHC	41	46	2.76	1.98	22.3%	5.9%	—	K 18.1% · BB 6.4% · FIP 2.39
2026	30	AASF	11	12	5.25	4.68	29.1%	7.3%	—	K 23.6% · BB 8.0% · FIP 5.72
2027PROJ	31	MLBSF	1	1	4.26	4.26	19.9%	6.9%	0.0
2028PROJ31% MLB	32	MLBSF	13	14	4.40	4.49	19.8%	7.5%	0.0
2029PROJ51% MLB	33	MLBSF	17	18	4.59	4.73	19.6%	8.1%	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control60Command50

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsAngel Castro (age 32) · Juan Sandoval (age 34) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.26

FIP4.26

K%19.9%

BB%6.9%

K-BB%13.1%

Proj IP55

Value2027 · WAR

Runs saved vs league avg · 55 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 the standard WAR scale.

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)
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+ 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	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	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	30	AA RAW	Richmond Flying Squirrels	11	0	12	55	16	4	3	0%	1.1	29.1%	7.3%	21.8%	5.5%	5.25	4.68	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	SF	1	0	1	4	1	0	0	0%	1.0	19.9%	6.9%	13.1%	2.9%	4.26	4.26	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	SF	41	0	44	184	36	14	6	0%	1.1	19.8%	7.5%	12.3%	3.2%	4.40	4.49	+0.0
2029	33	MLB MLE	SF	34	0	36	150	29	12	5	0%	1.0	19.6%	8.1%	11.5%	3.4%	4.59	4.73	-0.1
2030	34	MLB MLE	SF	28	0	29	124	24	11	5	0%	1.0	19.2%	8.6%	10.6%	3.7%	4.81	4.98	-0.1
2028	32	MLB CTX	SF	13	0	14	59	12	4	2	0%	1.1	19.8%	7.5%	12.3%	3.2%	4.40	4.49	+0.0
2029	33	MLB CTX	SF	17	0	18	76	15	6	3	0%	1.1	19.6%	8.1%	11.5%	3.4%	4.59	4.73	-0.0
2030	34	MLB CTX	SF	13	0	14	59	11	5	2	0%	1.1	19.2%	8.6%	10.6%	3.7%	4.81	4.98	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		43	0	46	192	38	16	7	0%	1.1	19.6%	8.1%	11.5%	3.4%	4.60	4.35	+0.1
/ 200 IP	—	RAW		190	0	200	844	167	70	31	0%	1.1	19.6%	8.1%	11.5%	3.4%	4.60	4.35	+0.5
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

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AARichmond Flying Squirrels · 12 IPFIP 4.56 → 5.72 (+1.16)K% 29.1% → 23.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.09%	—	×0.810	23.56%
BB% (unintentional) /BF	7.27%	—	×1.100	8.00%
HR / BF /BF	5.45%	÷1.000	×1.200	6.55%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.56 → 5.72, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAKnoxville Smokies · 46 IPFIP 1.95 → 2.39 (+0.43)K% 22.3% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.34%	—	×0.810	18.10%
BB% (unintentional) /BF	5.85%	—	×1.100	6.44%
HR / BF /BF	0.00%	÷0.911	×1.200	0.00%

Result: FIP 1.95 → 2.39, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKACL Cubs · 13 IPFIP 0.99 → 1.94 (+0.95)K% 30.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.680	20.92%
BB% (unintentional) /BF	3.85%	—	×1.250	4.81%
HR / BF /BF	0.00%	÷0.935	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 87).

Result: FIP 0.99 → 1.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+South Bend Cubs · 9 IPFIP 0.80 → 1.33 (+0.53)K% 27.3% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.770	21.00%
BB% (unintentional) /BF	0.00%	—	×1.150	0.00%
HR / BF /BF	0.00%	÷0.909	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 0.80 → 1.33, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AATennessee Smokies · 5 IPFIP 3.48 → 4.08 (+0.59)K% 22.7% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.73%	—	×0.810	18.41%
BB% (unintentional) /BF	18.18%	—	×1.100	20.00%
HR / BF /BF	0.00%	÷0.854	×1.200	0.00%

Result: FIP 3.48 → 4.08, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 A+South Bend Cubs · 14 IPFIP 3.45 → 4.25 (+0.81)K% 29.5% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.51%	—	×0.770	22.72%
BB% (unintentional) /BF	8.20%	—	×1.150	9.43%
HR / BF /BF	3.28%	÷1.197	×1.250	3.42%

Result: FIP 3.45 → 4.25, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 A+South Bend Cubs · 18 IPFIP 3.34 → 4.09 (+0.76)K% 22.5% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.47%	—	×0.770	17.30%
BB% (unintentional) /BF	16.85%	—	×1.150	19.38%
HR / BF /BF	0.00%	÷0.938	×1.250	0.00%

Result: FIP 3.34 → 4.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+South Bend Cubs · 41 IPFIP 3.50 → 4.51 (+1.01)K% 22.2% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.770	17.11%
BB% (unintentional) /BF	8.33%	—	×1.150	9.58%
HR / BF /BF	2.22%	÷0.928	×1.250	2.99%

Result: FIP 3.50 → 4.51, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	4.26	19.9%	6.9%	2.9%	—	4.70	19.6%	11.6%	108	+0.44	—	—	—
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	84
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	84
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	83
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	83
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	81
Erik Davis R 2018 · 3.52 FIP	31	SU	3.52	17.4%	8.9%	1.4%	.317	—	—	—	—	—	3.05	227	80
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	80
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	79
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	79
Jose Manuel Lopez R 2016 · 3.50 FIP	31	SU	3.50	16.4%	8.4%	1.3%	.308	4.77	19.3%	7.3%	90	+1.27	3.50	170	79
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	79
Gerardo Sanchez R 2019 · 3.58 FIP	30	SU	3.58	20.5%	5.4%	2.8%	.300	—	—	—	—	—	2.65	137	79
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	78
Tyler Sturdevant R 2017 · 4.48 FIP	31	SU	4.48	13.5%	6.7%	3.0%	.300	—	—	—	—	—	3.44	149	77
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	77
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	77
Pedro Rodriguez R 2019 · 4.14 FIP	31	SU	4.14	14.7%	4.9%	3.0%	.368	—	—	—	—	—	3.21	145	77
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	76
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	76
Ryan Kelly R 2019 · 4.33 FIP	31	SU	4.33	14.7%	7.2%	2.8%	.307	—	—	—	—	—	2.49	131	76

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.8	41	19.7%	7.6%	1.25	4.47
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
Ian Krol ('21)	1.0	42	21.2%	8.8%	1.25	4.49
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*