Reny Artiles

P Lynchburg Hillcats

Age 25 RHP 6'0" / 160 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	21	ALynchburg Hil…	20	0	28	7.07	4.74	15.5%	14.9%	—	K 11.5% · BB 17.5% · FIP 5.30
2024	22	ALynchburg Hil…	32	0	52	3.63	3.48	25.8%	14.6%	—	K 19.1% · BB 17.2% · FIP 4.72
2027PROJ	25	MLBCLE	—	—	0	4.85	4.85	22.4%	12.9%	—
2028PROJ43% MLB	26	MLBCLE	11	0	12	4.79	4.78	22.7%	12.4%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsFrancisco Del Rosario (age 25) · Cody Tucker (age 25) · Ben Hecht (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.85

FIP4.85

K%22.4%

BB%12.9%

K-BB%9.5%

Proj IP36

Value2027 · WAR

Runs saved vs league avg · 36 IP

Grades · Contract

Scouting Grades

K†5555

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	17	ROK MLE	DSL Indians/Brewers	16	0	29	139	23	18	3	0%	1.8	11.3%	16.2%	-4.9%	3.0%	6.28	5.86	—
2019	17	ROK RAW	DSL Indians/Brewers	16	0	29	139	23	18	3	0%	1.8	16.5%	12.9%	3.6%	2.2%	6.28	4.74	—
2021	19	ROK MLE	ACL Indians	9	8	27	121	43	12	4	89%	3.0	24.2%	12.4%	11.8%	3.1%	4.94	4.34	—
2021	19	ROK RAW	ACL Indians	9	8	27	121	43	12	4	89%	3.0	35.5%	9.9%	25.6%	3.3%	4.94	3.17	—
2022	20	A MLE	Lynchburg Hillcats	15	3	29	166	23	46	3	20%	1.9	10.3%	32.7%	-22.4%	2.3%	10.99	7.65	—
2022	20	A RAW	Lynchburg Hillcats	15	3	29	166	23	46	3	20%	1.9	13.9%	27.7%	-13.9%	1.8%	10.99	7.67	—
2023	21	A MLE	Lynchburg Hillcats	20	0	28	148	23	22	2	0%	1.4	11.5%	17.5%	-6.0%	1.7%	7.07	5.30	—
2023	21	A RAW	Lynchburg Hillcats	20	0	28	148	23	22	2	0%	1.4	15.5%	14.9%	0.7%	1.4%	7.07	4.74	—
2024	22	A MLE	Lynchburg Hillcats	32	0	52	240	62	35	3	0%	1.6	19.1%	17.2%	1.9%	1.9%	3.63	4.72	—
2024	22	A MLE	Lynchburg Hillcats	32	0	52	240	62	35	3	0%	1.6	19.1%	17.2%	1.9%	1.9%	3.63	4.72	—
2024	22	A RAW	Lynchburg Hillcats	32	0	52	240	62	35	3	0%	1.6	25.8%	14.6%	11.3%	1.2%	3.63	3.48	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	CLE	—	—	0	—	—	—	—	—	—	22.4%	12.9%	9.5%	3.0%	4.85	4.85	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	CLE	27	0	29	122	28	15	4	0%	1.1	22.7%	12.4%	10.2%	3.0%	4.79	4.78	-0.1
2028	26	MLB CTX	CLE	11	0	12	51	11	6	2	0%	1.1	22.7%	12.4%	10.2%	3.0%	4.79	4.78	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	12	6	2	0%	1.0	22.7%	12.4%	10.2%	3.0%	4.79	4.40	+0.0
/ 200 IP	—	RAW		190	0	200	844	195	97	32	0%	1.1	22.7%	12.4%	10.2%	3.0%	4.79	4.40	+0.4
Career	—	MLE		92	11	165	814	125	159	19	12%	1.8	15.3%	19.5%	-4.2%	2.3%	6.18	5.56	-0.1
/ 200 IP	—	MLE		112	13	200	989	152	193	23	12%	1.8	15.3%	19.5%	-4.2%	2.3%	6.18	5.56	-0.5

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.

2024 ALynchburg Hillcats · 52 IPFIP 3.45 → 4.72 (+1.27)K% 25.8% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.83%	—	×0.740	19.12%
BB% (unintentional) /BF	14.58%	—	×1.180	17.21%
HR / BF /BF	1.25%	÷0.844	×1.300	1.93%

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 3.45 → 4.72, 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).

2023 ALynchburg Hillcats · 28 IPFIP 4.41 → 5.30 (+0.89)K% 15.5% → 11.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.54%	—	×0.740	11.50%
BB% (unintentional) /BF	14.86%	—	×1.180	17.54%
HR / BF /BF	1.35%	÷1.017	×1.300	1.73%

Result: FIP 4.41 → 5.30, 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 ALynchburg Hillcats · 29 IPFIP 6.43 → 7.65 (+1.21)K% 13.9% → 10.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.86%	—	×0.740	10.25%
BB% (unintentional) /BF	27.71%	—	×1.180	32.70%
HR / BF /BF	1.81%	÷1.015	×1.300	2.31%

Result: FIP 6.43 → 7.65, 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 ROKACL Indians · 27 IPFIP 3.17 → 4.34 (+1.17)K% 35.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.54%	—	×0.680	24.17%
BB% (unintentional) /BF	9.92%	—	×1.250	12.40%
HR / BF /BF	3.31%	÷1.488	×1.400	3.11%

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 198).

Result: FIP 3.17 → 4.34, 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 ROKDSL Indians/Brewers · 29 IPFIP 4.53 → 5.86 (+1.33)K% 16.5% → 11.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.55%	—	×0.680	11.25%
BB% (unintentional) /BF	12.95%	—	×1.250	16.19%
HR / BF /BF	2.16%	÷1.000	×1.400	3.02%

Result: FIP 4.53 → 5.86, 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
Reny Artiles (OGILVIE)	—	—	4.85	22.4%	12.9%	3.0%	—	4.78	22.7%	10.2%	29	-0.07	—	—	—
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	86
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	85
Ben Hecht R 2019 · 4.51 FIP	24	SU	4.51	22.7%	12.9%	3.1%	.293	7.98	14.1%	-11.4%	13	+3.47	4.39	155	85
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	85
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	85
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	85
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	85
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.24	23.5%	12.2%	22	+0.82	4.42	152	85
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	84
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	84
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	84
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	83
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	83
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	83
Cameron Gann R 2017 · 4.22 FIP	24	SU	4.22	21.4%	12.4%	2.5%	.296	5.36	21.1%	6.8%	23	+1.14	3.58	146	83
Jordan Milbrath R 2017 · 4.05 FIP	25	SU	4.05	19.9%	10.4%	2.4%	.272	3.61	19.6%	9.7%	129	-0.44	3.19	386	83
Luis Vizcaino R 2000 · 4.11 FIP	25	SU	4.11	18.8%	11.5%	2.1%	.354	4.31	22.7%	14.9%	180	+0.20	3.07	564	82
Taylor Floyd R 2023 · 4.34 FIP	25	SU	4.34	21.7%	10.8%	3.1%	.331	4.61	18.4%	8.9%	192	+0.27	3.48	359	82
Hunter Parsons R 2022 · 4.73 FIP	25	SU	4.73	21.1%	13.1%	3.2%	.293	5.48	23.5%	11.3%	85	+0.75	4.73	183	82
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	82

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	0.3	33	22.5%	12.7%	1.15	4.82
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44