DL Hall

P Milwaukee Brewers

Age 28 LHP 6'1" / 209 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	28	22	84	4.39	4.39	21.1%	12.1%	1.0	K 19.7% · BB 11.6% · FIP 4.44
2025	26	MIX3 levels	24	6	49	2.74	3.32	21.2%	11.6%	0.7	K 17.4% · BB 11.0% · FIP 3.69
2026	27	MIX3 levels	51	2	67	2.01	3.79	27.7%	14.4%	0.6	K 26.6% · BB 14.5% · FIP 3.78
2027PROJ	28	MLBMIL	48	0	50	4.32	4.72	22.4%	13.8%	-0.1
2028PROJ95% MLB	29	MLBMIL	26	0	27	4.65	4.88	21.8%	14.0%	-0.1
2029PROJ95% MLB	30	MLBMIL	16	0	17	4.91	5.08	21.1%	14.3%	-0.1

Last 3 seasons WAR 2.3 · Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs77

K%74

FB Velo58

Form1.10 ERA (proj 4.32) · K 21.5% (proj 22.4%) · BB 10.8% (proj 13.8%) · last 60d · 16 IP through Oct 27

CompsMatt Whitehouse (age 28) · Tommy Vail (age 25) · John Rheinecker (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 94102vR 111

ERA4.32

FIP4.72

K%22.4%

BB%13.8%

K-BB%8.6%

Proj IP50

Value2027 · WAR

Runs saved vs league avg · 50 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†5555

Statcast Percentiles

FB Velo

p5895.1

Whiff%

p6728.0%

p7426.6%

xwOBA vs

p770.286

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)
2017	18	ROK MLE	GCL Orioles	5	5	10	49	12	10	1	100%	2.1	24.5%	20.4%	4.1%	2.0%	6.97	4.74	—
2017	18	ROK RAW	GCL Orioles	5	5	10	49	12	10	1	100%	2.1	24.5%	20.4%	4.1%	2.0%	6.97	4.94	—
2018	19	A MLE	Delmarva Shorebirds	22	20	94	391	100	42	6	91%	4.3	18.9%	12.7%	6.3%	2.3%	2.10	4.36	—
2018	19	A RAW	Delmarva Shorebirds	22	20	94	391	100	42	6	91%	4.3	25.6%	10.7%	14.8%	1.5%	2.10	3.14	—
2019	20	A+ MLE	Frederick Keys	19	17	81	346	116	54	3	89%	4.2	25.8%	17.9%	7.9%	1.0%	3.46	3.72	—
2019	20	A+ RAW	Frederick Keys	19	17	81	346	116	54	3	89%	4.2	33.5%	15.6%	17.9%	0.9%	3.46	2.72	—
2021	22	AA MLE	Bowie Baysox	7	7	32	128	56	16	4	100%	4.5	35.4%	13.8%	21.7%	3.0%	3.13	3.49	—
2021	22	AA RAW	Bowie Baysox	7	7	32	128	56	16	4	100%	4.5	43.8%	12.5%	31.2%	3.1%	3.13	2.72	—
2022	23	MIX MLE	4 levels	35	21	98	438	156	56	10	60%	2.8	31.5%	14.0%	17.5%	2.8%	4.68	3.74	+1.9
2022	23	MIX RAW	4 levels	35	21	98	438	156	56	10	60%	2.8	35.6%	12.8%	22.8%	2.3%	4.68	2.96	+2.9
2023	24	MIX MLE	3 levels	37	12	71	310	101	37	9	32%	1.9	27.9%	10.7%	17.2%	3.3%	3.79	3.90	+0.6
2023	24	MIX RAW	3 levels	37	12	71	310	101	37	9	32%	1.9	32.6%	11.9%	20.6%	2.9%	3.79	3.46	+0.9
2024	25	MIX MLE	3 levels	28	22	84	379	80	46	10	79%	3.0	19.7%	11.6%	8.1%	2.8%	4.39	4.44	+0.9
2024	25	MIX MLE	3 levels	28	22	84	379	80	46	10	79%	3.0	19.7%	11.6%	8.1%	2.8%	4.39	4.44	+0.9
2024	25	MIX RAW	3 levels	28	22	84	379	80	46	10	79%	3.0	21.1%	12.1%	9.0%	2.6%	4.39	4.39	+1.0
2025	26	MIX MLE	3 levels	24	6	49	198	42	23	2	25%	2.1	17.4%	11.0%	6.5%	1.2%	2.74	3.69	+0.5
2025	26	MIX MLE	3 levels	24	6	49	198	42	23	2	25%	2.1	17.4%	11.0%	6.5%	1.2%	2.74	3.69	+0.5
2025	26	MIX RAW	3 levels	24	6	49	198	42	23	2	25%	2.1	21.2%	11.6%	9.6%	1.0%	2.74	3.32	+0.7
2026	27	MIX MLE	3 levels	51	2	67	264	73	38	6	4%	1.3	26.6%	14.5%	12.0%	2.0%	2.01	3.78	+0.6
2026	27	MIX MLE	3 levels	51	2	67	264	73	38	6	4%	1.3	26.6%	14.5%	12.0%	2.0%	2.01	3.78	+0.6
2026	27	MIX RAW	3 levels	51	2	67	264	73	38	6	4%	1.3	27.7%	14.4%	13.3%	2.3%	2.01	3.79	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			109	12	176	738	177	84	15	11%	1.6	24.0%	11.4%	12.6%	2.0%	3.48	3.63	+1.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	MIL	48	0	50	211	47	29	5	0%	1.0	22.4%	13.8%	8.6%	2.5%	4.32	4.72	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	MIL	28	0	29	122	27	17	3	0%	1.0	21.8%	14.0%	7.8%	2.7%	4.65	4.88	-0.1
2029	30	MLB MLE	MIL	17	0	18	75	16	11	2	0%	1.0	21.1%	14.3%	6.8%	2.9%	4.91	5.08	-0.1
2028	29	MLB CTX	MIL	26	0	27	114	25	16	3	0%	1.0	21.8%	14.0%	7.8%	2.7%	4.65	4.88	-0.1
2029	30	MLB CTX	MIL	16	0	17	72	15	10	2	0%	1.1	21.1%	14.3%	6.8%	2.9%	4.91	5.08	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		151	12	220	925	217	111	20	8%	1.5	23.5%	11.9%	11.6%	2.2%	3.73	3.82	+1.9
/ 200 IP	—	RAW		137	11	200	840	197	101	18	8%	1.5	23.5%	11.9%	11.6%	2.2%	3.73	3.82	+1.7
Career	—	MLE		228	112	587	2503	624	338	58	49%	2.6	24.9%	13.5%	11.4%	2.3%	3.44	3.97	+1.7
/ 200 IP	—	MLE		78	38	200	853	213	115	20	49%	2.6	24.9%	13.5%	11.4%	2.3%	3.44	3.97	+1.5

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.

2025 AAANashville Sounds · 6 IPFIP 2.76 → 2.89 (+0.13)K% 28.0% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.00%	—	×0.860	24.08%
BB% (unintentional) /BF	16.00%	—	×0.900	14.40%
HR / BF /BF	0.00%	÷1.111	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 122).

Result: FIP 2.76 → 2.89, 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 AAANashville Sounds · 40 IPFIP 4.44 → 4.76 (+0.31)K% 19.6% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.55%	—	×0.860	16.82%
BB% (unintentional) /BF	13.97%	—	×0.900	12.57%
HR / BF /BF	2.23%	÷0.909	×1.100	2.70%

Result: FIP 4.44 → 4.76, 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 AAANorfolk Tides · 49 IPFIP 3.90 → 4.29 (+0.39)K% 32.3% → 27.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.26%	—	×0.860	27.74%
BB% (unintentional) /BF	13.82%	—	×0.900	12.44%
HR / BF /BF	3.23%	÷0.995	×1.100	3.57%

Result: FIP 3.90 → 4.29, 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 AAANorfolk Tides · 77 IPFIP 3.43 → 4.10 (+0.67)K% 36.1% → 31.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.13%	—	×0.880	31.79%
BB% (unintentional) /BF	14.16%	—	×1.050	14.87%
HR / BF /BF	2.89%	÷0.970	×1.100	3.28%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 3.43 → 4.10, 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 AABowie Baysox · 32 IPFIP 2.70 → 3.49 (+0.78)K% 43.8% → 35.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.75%	—	×0.810	35.44%
BB% (unintentional) /BF	12.50%	—	×1.100	13.75%
HR / BF /BF	3.12%	÷1.258	×1.200	2.98%

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 152).

Result: FIP 2.70 → 3.49, 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).

2019 A+Frederick Keys · 81 IPFIP 2.72 → 3.72 (+1.00)K% 33.5% → 25.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.53%	—	×0.770	25.82%
BB% (unintentional) /BF	15.61%	—	×1.150	17.95%
HR / BF /BF	0.87%	÷1.135	×1.250	0.96%

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 127).

Result: FIP 2.72 → 3.72, 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).

2018 ADelmarva Shorebirds · 94 IPFIP 3.14 → 4.36 (+1.22)K% 25.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.58%	—	×0.740	18.93%
BB% (unintentional) /BF	10.74%	—	×1.180	12.68%
HR / BF /BF	1.53%	÷0.872	×1.300	2.29%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 74).

Result: FIP 3.14 → 4.36, 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).

2017 ROKGCL Orioles · 10 IPFIP 4.74 → 6.49 (+1.76)K% 24.5% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.49%	—	×0.680	16.65%
BB% (unintentional) /BF	20.41%	—	×1.250	25.51%
HR / BF /BF	2.04%	÷1.000	×1.400	2.86%

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 100).

Result: FIP 4.74 → 6.49, 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
DL Hall (OGILVIE)	—	—	4.72	22.4%	13.8%	2.5%	—	4.96	21.6%	7.4%	47	+0.24	—	—	—
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	72
Tommy Vail L 2024 · 3.65 FIP	25	SW	3.65	27.5%	15.3%	1.7%	.237	5.19	19.5%	2.9%	99	+1.54	3.65	168	72
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	71
Chad Bell L 2017 · 4.57 FIP	28	SW	4.57	19.4%	8.9%	3.6%	.341	4.38	18.8%	11.4%	57	-0.19	3.39	393	68
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	66
Edgar Olmos L 2017 · 3.64 FIP	27	SW	3.64	18.9%	9.7%	1.7%	.252	—	—	—	—	—	3.19	203	64
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	63
Austin Warner L 2022 · 4.78 FIP	28	SW	4.78	16.9%	9.0%	3.6%	.319	—	—	—	—	—	3.81	491	62
Brendan Nail L 2023 · 4.36 FIP	27	SU	4.36	19.3%	10.5%	2.8%	.262	—	—	—	—	—	3.45	165	61
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	61
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	60
Manny Parra L 2010 · 4.19 FIP	27	SW	4.19	23.0%	10.7%	3.1%	.331	3.16	25.6%	15.3%	105	-1.03	2.43	710	60
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	60
Aaron Brown L 2019 · 4.04 FIP	27	SU	4.04	22.9%	13.5%	2.1%	.317	4.77	19.4%	6.7%	129	+0.73	4.04	269	60
Carlos Teller L 2015 · 3.75 FIP	28	SP-	3.75	13.8%	10.9%	0.8%	.329	4.75	13.3%	3.1%	187	+1.00	3.75	333	59
Andrew Lorraine L 2000 · 4.98 FIP	27	SW	4.98	15.9%	11.6%	3.2%	.290	8.88	15.4%	6.2%	12	+3.90	4.11	163	59
Brian Johnson L 2019 · 4.49 FIP	28	SW	4.49	18.8%	11.2%	2.8%	.349	4.94	15.5%	6.4%	61	+0.45	3.39	506	59
Scott Eyre L 2000 · 5.05 FIP	28	SU	5.05	17.2%	12.9%	3.2%	.419	3.58	16.7%	7.7%	147	-1.47	2.18	649	59
Colton Turner L 2019 · 4.23 FIP	28	SW	4.23	22.4%	9.2%	3.4%	.345	—	—	—	—	—	2.79	325	59
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	59

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	1.4	46	23.3%	12.3%	0.87	3.85
Daniel Bard ('23)	2.3	57	24.2%	12.3%	0.85	3.74
Paul Shuey ('07)	2.6	59	24.1%	12.0%	0.73	3.87
Tim Collins ('19)	1.2	48	23.3%	13.0%	0.89	3.60
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Horacio Pina ('68-'78, 2 WAR*)	2.2	62	20.7%*	11.2%*	0.84*	4.01*