Dietrich Enns

P Norfolk Tides

Age 36 LHP 6'1" / 230 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	30	MIX2 levels	28	11	94	2.68	2.66	31.3%	6.5%	2.2	K 28.4% · BB 6.8% · FIP 2.96
2025	34	MIX2 levels	38	17	109	3.40	2.81	25.8%	5.6%	2.3	K 23.6% · BB 5.3% · FIP 3.04
2026	35	MIX2 levels	44	3	70	5.37	5.42	20.4%	11.6%	-0.7	K 18.2% · BB 10.8% · FIP 5.60
2027PROJ	36	MLBBAL	137	0	144	4.35	4.50	21.2%	8.8%	0.1
2028PROJ77% MLB	37	MLBBAL	57	0	60	4.65	4.87	20.2%	9.4%	-0.2
2029PROJ63% MLB	38	MLBBAL	21	0	22	5.00	5.26	19.2%	9.9%	-0.2

Last 3 seasons WAR 3.8 · 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 vs62

FB Velo40

K%25

CompsRaul Valdes (age 35) · Juan Antonio Pena (age 37) · Francisley Bueno (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 102111vR 119

ERA4.35

FIP4.50

K%21.2%

BB%8.8%

K-BB%12.4%

Proj IP167

Value2027 · WAR

Runs saved vs league avg · 167 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4093.8

Whiff%

p3523.1%

p2518.6%

xwOBA vs

p620.300

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)
2015	24	MIX MLE	2 levels	13	12	59	232	55	20	0	92%	4.5	16.6%	8.7%	7.9%	0.0%	0.61	2.80	—
2015	24	MIX RAW	2 levels	13	12	59	232	55	20	0	92%	4.5	23.7%	8.6%	15.1%	0.0%	0.61	2.25	—
2016	25	MIX MLE	2 levels	26	22	135	538	124	56	6	85%	5.2	19.3%	11.2%	8.1%	1.3%	1.73	3.59	—
2016	25	MIX RAW	2 levels	26	22	135	538	124	56	6	85%	5.2	23.0%	10.4%	12.6%	1.1%	1.73	3.09	—
2017	26	MIX MLE	3 levels	13	9	61	248	58	15	5	69%	4.7	19.7%	7.1%	12.5%	1.7%	2.36	3.26	+1.6
2017	26	MIX RAW	3 levels	13	9	61	248	58	15	5	69%	4.7	23.4%	6.0%	17.3%	2.0%	2.36	3.00	+1.8
2018	27	MIX MLE	2 levels	25	22	129	549	106	43	12	88%	5.2	16.2%	8.3%	7.9%	2.7%	4.60	4.28	—
2018	27	MIX RAW	2 levels	25	22	129	549	106	43	12	88%	5.2	19.3%	7.8%	11.5%	2.2%	4.60	3.67	—
2019	28	AAA MLE	El Paso Chihuahuas	28	25	137	635	105	56	37	89%	4.9	14.6%	9.3%	5.3%	6.7%	6.70	6.75	—
2019	28	AAA RAW	El Paso Chihuahuas	28	25	137	635	105	56	37	89%	4.9	16.5%	8.8%	7.7%	5.8%	6.70	6.30	—
2021	30	MIX MLE	2 levels	28	11	94	367	115	24	9	39%	3.4	28.4%	6.8%	21.6%	2.5%	2.68	2.96	+1.8
2021	30	MIX RAW	2 levels	28	11	94	367	115	24	9	39%	3.4	31.3%	6.5%	24.8%	2.5%	2.68	2.66	+2.2
2025	34	MIX MLE	2 levels	38	17	109	466	120	26	10	45%	2.9	23.6%	5.3%	18.4%	2.3%	3.40	3.04	+2.0
2025	34	MIX MLE	2 levels	38	17	109	466	120	26	10	45%	2.9	23.6%	5.3%	18.4%	2.3%	3.40	3.04	+2.0
2025	34	MIX RAW	2 levels	38	17	109	466	120	26	10	45%	2.9	25.8%	5.6%	20.2%	2.1%	3.40	2.81	+2.3
2026	35	MIX MLE	2 levels	44	3	70	318	65	37	14	7%	1.6	18.2%	10.8%	7.3%	4.8%	5.37	5.60	-0.9
2026	35	MIX MLE	2 levels	44	3	70	318	65	37	14	7%	1.6	18.2%	10.8%	7.3%	4.8%	5.37	5.60	-0.9
2026	35	MIX RAW	2 levels	44	3	70	318	65	37	14	7%	1.6	20.4%	11.6%	8.8%	4.4%	5.37	5.42	-0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			48	4	89	379	89	29	9	8%	1.8	23.5%	7.7%	15.8%	2.4%	3.86	3.39	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	36	MLB	BAL	137	0	144	608	129	54	19	0%	1.1	21.2%	8.8%	12.4%	3.1%	4.35	4.50	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	37	MLB MLE	BAL	74	0	78	327	66	31	11	0%	1.0	20.2%	9.4%	10.8%	3.5%	4.65	4.87	-0.3
2029	38	MLB MLE	BAL	33	0	35	147	28	15	6	0%	1.1	19.2%	9.9%	9.2%	3.9%	5.00	5.26	-0.3
2028	37	MLB CTX	BAL	57	0	60	253	51	24	9	0%	1.1	20.2%	9.4%	10.8%	3.5%	4.65	4.87	-0.2
2029	38	MLB CTX	BAL	21	0	22	93	18	9	4	0%	1.0	19.2%	9.9%	9.2%	3.9%	5.00	5.26	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		126	4	170	724	158	62	21	3%	1.4	21.8%	8.5%	13.2%	3.0%	4.28	3.96	+1.2
/ 200 IP	—	RAW		148	5	200	850	186	73	25	3%	1.4	21.8%	8.5%	13.2%	3.0%	4.28	3.96	+1.4
Career	—	MLE		215	121	794	3353	644	286	104	56%	3.7	19.2%	8.5%	10.7%	3.1%	3.69	4.27	+2.6
/ 200 IP	—	MLE		54	30	200	845	162	72	26	56%	3.7	19.2%	8.5%	10.7%	3.1%	3.69	4.27	+2.6

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 AAANorfolk Tides · 54 IPFIP 5.76 → 6.18 (+0.42)K% 21.0% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.97%	—	×0.860	18.03%
BB% (unintentional) /BF	10.48%	—	×0.900	9.44%
HR / BF /BF	5.65%	÷1.000	×1.100	6.21%

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 100).

Result: FIP 5.76 → 6.18, 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 AAAToledo Mud Hens · 62 IPFIP 2.39 → 2.85 (+0.46)K% 26.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.69%	—	×0.860	22.95%
BB% (unintentional) /BF	5.64%	—	×0.900	5.08%
HR / BF /BF	1.50%	÷0.872	×1.100	1.90%

Result: FIP 2.39 → 2.85, 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 AAADurham Bulls · 72 IPFIP 2.77 → 3.20 (+0.43)K% 32.3% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.26%	—	×0.880	28.39%
BB% (unintentional) /BF	6.45%	—	×1.050	6.77%
HR / BF /BF	2.87%	÷1.059	×1.100	2.98%

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 112).

Result: FIP 2.77 → 3.20, 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 AAAEl Paso Chihuahuas · 137 IPFIP 6.02 → 6.75 (+0.73)K% 16.5% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.54%	—	×0.880	14.55%
BB% (unintentional) /BF	8.82%	—	×1.050	9.26%
HR / BF /BF	5.83%	÷0.950	×1.100	6.75%

Result: FIP 6.02 → 6.75, 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 AAARochester Red Wings · 68 IPFIP 4.55 → 5.13 (+0.58)K% 14.9% → 13.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.90%	—	×0.880	13.11%
BB% (unintentional) /BF	9.93%	—	×1.050	10.43%
HR / BF /BF	2.65%	÷0.879	×1.100	3.32%

Result: FIP 4.55 → 5.13, 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 AAChattanooga Lookouts · 61 IPFIP 2.57 → 3.24 (+0.67)K% 24.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.70%	—	×0.810	20.00%
BB% (unintentional) /BF	5.26%	—	×1.100	5.79%
HR / BF /BF	1.62%	÷0.975	×1.200	1.99%

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 95).

Result: FIP 2.57 → 3.24, 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 AAARochester Red Wings · 51 IPFIP 2.87 → 3.26 (+0.39)K% 22.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.33%	—	×0.880	19.65%
BB% (unintentional) /BF	6.80%	—	×1.050	7.14%
HR / BF /BF	1.46%	÷0.956	×1.100	1.68%

Result: FIP 2.87 → 3.26, 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 Yankees East · 6 IPFIP -0.92 → 0.37 (+1.29)K% 47.6% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	47.62%	—	×0.680	32.38%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
HR / BF /BF	0.00%	÷1.000	×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 100).

Result: FIP -0.92 → 0.37, 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
Dietrich Enns (OGILVIE)	—	—	—	—	—	3.1%	—	4.99	19.9%	10.3%	112	+0.49	—	—	—
Raul Valdes L 2013 · 4.07 FIP	35	SU	4.07	24.3%	5.3%	4.3%	.350	—	—	—	—	—	2.29	160	52
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	52
Francisley Bueno L 2017 · 4.44 FIP	36	SP	4.44	11.7%	8.4%	2.3%	.351	—	—	—	—	—	2.43	188	46
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	42
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	41
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	39
Brian Shouse L 2005 · 4.24 FIP	36	SU	4.24	15.0%	6.0%	3.0%	.271	3.35	15.0%	9.6%	137	-0.89	2.32	339	38
Hisanori Takahashi L 2011 · 3.64 FIP	36	SU	3.64	18.5%	6.0%	2.4%	.249	4.04	24.5%	18.4%	50	+0.40	3.50	240	37
Jorge Castillo L 2017 · 4.97 FIP	35	SP	4.97	11.2%	6.7%	3.6%	.337	4.91	19.6%	11.5%	119	-0.06	4.50	408	37
Juan Pablo Perez L 2015 · 3.68 FIP	36	SU	3.68	26.5%	15.3%	1.6%	.295	—	—	—	—	—	1.75	104	36
Tsuyoshi Wada L 2015 · 3.66 FIP	34	SP	3.66	16.8%	7.1%	2.0%	.307	—	—	—	—	—	3.60	188	34
Mauricio Lara L 2015 · 3.62 FIP	36	SP	3.62	13.9%	6.9%	1.5%	.310	3.69	12.1%	5.1%	220	+0.07	3.62	444	34
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	32
Tim Byrdak L 2010 · 4.48 FIP	36	SU	4.48	17.1%	11.8%	2.4%	.308	2.92	27.6%	18.1%	68	-1.56	2.85	320	32
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	32
Arturo Lopez L 2019 · 5.46 FIP	36	SP	5.46	12.2%	6.8%	4.6%	.320	—	—	—	—	—	4.34	445	31
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	26
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	24
Austin Bibens-Dirkx R 2021 · 4.20 FIP	36	SP-	4.20	15.8%	5.6%	3.1%	.333	—	—	—	—	—	3.97	567	23
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	23

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	1.8	74	21.4%	9.0%	1.19	4.36
Hisanori Takahashi ('13)	1.2	81	21.6%	8.2%	1.07	3.99
Roy Lee Jackson ('77-'86, 5 WAR*)	2.8	70	21.9%*	8.6%*	1.09*	3.99*
Luis Sanchez ('81-'85, 3 WAR*)	1.8	74	20.7%*	9.2%*	0.98*	3.97*
Jay Ritchie ('64-'68, 2 WAR*)	1.5	58	21.1%*	8.0%*	1.01*	4.21*
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Kerry Ligtenberg ('05)	2.0	65	21.5%	9.5%	1.06	3.82