Dylan DeLucia

P Akron RubberDucks

Age 26 RHP 5'11" / 220 lbs AA peak 0.2 · 2028

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	13	13	49	2.55	2.78	26.9%	6.2%	—	K 21.6% · BB 7.4% · FIP 3.88
2025	24	MIX2 levels	24	22	108	3.57	3.99	23.8%	9.4%	—	K 18.8% · BB 10.6% · FIP 5.01
2026	25	AACLE	29	17	88	6.62	4.91	21.2%	10.2%	—	K 17.1% · BB 11.2% · FIP 5.64
2027PROJ	26	MLBCLE	1	1	3	5.20	5.20	18.2%	10.4%	0.0
2028PROJ38% MLB	27	MLBCLE	6	6	38	5.13	5.15	18.5%	10.2%	0.1
2029PROJ60% MLB	28	MLBCLE	9	9	53	5.12	5.16	18.7%	10.1%	0.1

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 0.4, comp-based) · star 0% · didn't stick 95%

CompsLuis Santos (age 26) · Forrest Snow (age 26) · D.J. Houlton (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132124vR 116

ERA5.20

FIP5.20

K%18.2%

BB%10.4%

K-BB%7.8%

Proj IP128

Value2027 · WAR

Runs saved vs league avg · 128 IP

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)
2024	23	MIX MLE	3 levels	13	13	49	193	52	12	4	100%	3.8	21.6%	7.4%	14.2%	3.0%	2.55	3.88	—
2024	23	MIX MLE	3 levels	13	13	49	193	52	12	4	100%	3.8	21.6%	7.4%	14.2%	3.0%	2.55	3.88	—
2024	23	MIX RAW	3 levels	13	13	49	193	52	12	4	100%	3.8	26.9%	6.2%	20.7%	2.1%	2.55	2.78	—
2025	24	MIX MLE	2 levels	24	22	108	446	106	42	14	92%	4.5	18.8%	10.6%	8.2%	3.9%	3.57	5.01	—
2025	24	MIX MLE	2 levels	24	22	108	446	106	42	14	92%	4.5	18.8%	10.6%	8.2%	3.9%	3.57	5.01	—
2025	24	MIX RAW	2 levels	24	22	108	446	106	42	14	92%	4.5	23.8%	9.4%	14.3%	3.1%	3.57	3.99	—
2026	25	AA MLE	Akron RubberDucks	29	17	88	411	87	42	16	59%	3.0	17.1%	11.2%	5.9%	4.7%	6.62	5.64	—
2026	25	AA MLE	Akron RubberDucks	29	17	88	411	87	42	16	59%	3.0	17.1%	11.2%	5.9%	4.7%	6.62	5.64	—
2026	25	AA RAW	Akron RubberDucks	29	17	88	411	87	42	16	59%	3.0	21.2%	10.2%	10.9%	3.9%	6.62	4.91	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CLE	1	1	3	13	2	1	0	100%	3.0	18.2%	10.4%	7.8%	3.5%	5.20	5.20	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CLE	17	17	102	430	80	44	15	100%	6.0	18.5%	10.2%	8.4%	3.5%	5.13	5.15	+0.3
2029	28	MLB MLE	CLE	15	15	89	377	70	38	14	100%	6.0	18.7%	10.1%	8.5%	3.6%	5.12	5.16	+0.2
2030	29	MLB MLE	CLE	14	14	81	342	64	35	13	100%	5.8	18.6%	10.2%	8.4%	3.7%	5.18	5.25	+0.1
2031	30	MLB MLE	CLE	12	12	73	308	56	32	12	100%	6.1	18.3%	10.5%	7.9%	3.9%	5.30	5.40	0.0
2028	27	MLB CTX	CLE	6	6	38	160	30	16	6	100%	6.3	18.5%	10.2%	8.4%	3.5%	5.13	5.15	+0.1
2029	28	MLB CTX	CLE	9	9	53	224	42	23	8	100%	5.9	18.7%	10.1%	8.5%	3.6%	5.12	5.16	+0.1
2030	29	MLB CTX	CLE	10	10	57	241	45	25	9	100%	5.7	18.6%	10.2%	8.4%	3.7%	5.18	5.25	+0.1
2031	30	MLB CTX	CLE	10	10	57	241	44	25	9	100%	5.7	18.3%	10.5%	7.9%	3.9%	5.30	5.40	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		34	34	206	869	161	89	32	100%	6.1	18.5%	10.3%	8.3%	3.7%	5.19	4.87	+1.2
/ 200 IP	—	RAW		33	33	200	844	156	86	31	100%	6.0	18.5%	10.3%	8.3%	3.7%	5.19	4.87	+1.2
Career	—	MLE		66	52	246	1050	196	108	43	79%	3.7	18.7%	10.3%	8.4%	4.1%	4.46	5.05	+0.7
/ 200 IP	—	MLE		54	42	200	854	159	88	35	79%	3.7	18.7%	10.3%	8.4%	4.1%	4.46	5.05	+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 AAAkron RubberDucks · 88 IPFIP 4.74 → 5.64 (+0.90)K% 21.2% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.17%	—	×0.810	17.15%
BB% (unintentional) /BF	10.22%	—	×1.100	11.24%
HR / BF /BF	3.89%	÷1.000	×1.200	4.67%

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 4.74 → 5.64, 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 AAAkron RubberDucks · 62 IPFIP 3.17 → 3.80 (+0.64)K% 20.6% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.55%	—	×0.810	16.65%
BB% (unintentional) /BF	9.09%	—	×1.100	10.00%
HR / BF /BF	1.19%	÷0.926	×1.200	1.54%

Result: FIP 3.17 → 3.80, 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 A+Lake County Captains · 46 IPFIP 5.11 → 6.58 (+1.47)K% 28.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.98%	—	×0.770	21.54%
BB% (unintentional) /BF	9.84%	—	×1.150	11.32%
HR / BF /BF	5.70%	÷1.011	×1.250	7.05%

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 102).

Result: FIP 5.11 → 6.58, 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+Lake County Captains · 36 IPFIP 3.13 → 3.88 (+0.75)K% 28.1% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.06%	—	×0.770	21.60%
BB% (unintentional) /BF	6.47%	—	×1.150	7.45%
HR / BF /BF	2.88%	÷1.190	×1.250	3.02%

Result: FIP 3.13 → 3.88, 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 ALynchburg Hillcats · 9 IPFIP 1.84 → 2.62 (+0.78)K% 27.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.03%	—	×0.740	20.00%
BB% (unintentional) /BF	8.11%	—	×1.180	9.57%
HR / BF /BF	0.00%	÷0.844	×1.300	0.00%

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 69).

Result: FIP 1.84 → 2.62, 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
Dylan DeLucia (OGILVIE)	—	—	—	—	—	3.5%	—	5.18	18.6%	8.4%	272	-0.02	—	—	—
Luis Santos R 2017 · 4.76 FIP	26	SP-	4.76	19.7%	9.7%	3.8%	.262	3.93	22.1%	13.0%	127	-0.83	3.53	472	86
Forrest Snow R 2015 · 5.03 FIP	26	SP-	5.03	16.1%	8.2%	4.1%	.263	4.14	21.8%	14.2%	256	-0.89	3.02	406	86
D.J. Houlton R 2005 · 4.85 FIP	25	SP-	4.85	15.6%	8.5%	3.6%	.297	4.74	18.6%	12.4%	28	-0.11	4.74	157	83
Nick Pasquale R 2017 · 4.74 FIP	26	SP-	4.74	16.8%	12.7%	2.6%	.306	3.80	17.9%	6.3%	50	-0.94	3.19	308	82
Derek True R 2024 · 4.90 FIP	23	SP-	4.90	18.5%	10.5%	3.7%	.333	4.95	17.6%	5.9%	73	+0.05	4.50	170	82
Logan Evans R 2024 · 4.17 FIP	23	SP-	4.17	17.8%	10.3%	2.3%	.257	4.17	17.9%	10.2%	125	+0.00	4.17	232	80
Kenten Egbert R 2024 · 4.26 FIP	23	SP-	4.26	19.6%	9.6%	2.9%	.257	4.34	10.8%	3.5%	133	+0.08	4.04	231	79
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.83	14.2%	5.0%	81	+1.12	4.43	239	79
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.90	12.7%	5.3%	173	-0.43	4.40	412	79
Jared Mortensen R 2015 · 4.42 FIP	27	SP-	4.42	16.9%	7.8%	3.2%	.287	4.99	20.9%	2.1%	72	+0.57	4.42	200	79
Cody Sedlock R 2021 · 5.05 FIP	26	SP-	5.05	19.9%	10.9%	4.1%	.301	4.21	20.1%	7.1%	80	-0.84	4.21	378	78
Matthew Shepherd R 2015 · 4.98 FIP	25	SP-	4.98	13.7%	9.5%	3.3%	.390	—	—	—	—	—	4.98	116	78
Bubba Derby R 2019 · 5.42 FIP	25	SP-	5.42	18.0%	10.1%	4.7%	.287	5.14	19.4%	11.0%	71	-0.28	3.68	550	78
Tyler Uberstine R 2022 · 4.19 FIP	23	SP-	4.19	19.5%	10.5%	2.6%	.302	4.27	22.8%	15.4%	121	+0.08	2.98	262	78
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	76
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	76
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	76
Nic Swanson R 2024 · 4.91 FIP	25	SP	4.91	19.3%	11.8%	3.5%	.286	5.43	19.9%	6.5%	132	+0.52	4.29	438	75
Justin Armbruester R 2024 · 5.73 FIP	25	SP	5.73	20.2%	11.1%	5.3%	.289	1.49	27.5%	21.9%	15	-4.24	1.49	373	75
Zach Fruit R 2024 · 4.29 FIP	24	SP	4.29	19.3%	14.1%	1.9%	.258	5.03	15.4%	-0.2%	44	+0.74	4.29	151	75

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	2.4	95	18.4%	10.3%	1.41	5.18
Matt Kinney ('05)	1.9	97	16.8%	9.9%	1.39	5.29
Brandon Backe ('09)	2.6	88	15.4%	10.2%	1.49	5.23
Victor Santos ('07)	3.0	86	15.6%	10.2%	1.29	5.21
Dick Lange ('72-'75, -3 WAR*)	1.4	92	16.6%*	9.6%*	1.42*	5.49*
Mike Gardiner ('90-'95, -1 WAR*)	2.0	98	18.3%*	8.8%*	1.37*	5.10*
Rob Gardner ('65-'73, -2 WAR*)	1.7	66	17.4%*	9.9%*	1.32*	5.45*