Luis Angel Rodriguez

P Corpus Christi Hooks

Age 27 LHP 6'1" / 190 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	MIX2 levels	16	8	63	2.42	2.37	33.0%	12.9%	—	K 24.8% · BB 15.0% · FIP 3.39
2024	24	AAHOU	21	11	80	5.31	4.05	26.1%	11.1%	—	K 21.2% · BB 12.2% · FIP 4.98
2025	25	AAHOU	13	6	41	4.57	4.38	13.2%	13.7%	—	K 10.7% · BB 15.1% · FIP 4.80
2026	26	No MLB games played
2027PROJ	27	MLBHOU	1	0	1	6.04	6.04	13.3%	16.6%	-0.0
2028PROJ38% MLB	28	MLBHOU	15	0	16	5.92	5.95	14.2%	16.0%	-0.2
2029PROJ56% MLB	29	MLBHOU	18	0	19	5.90	5.96	14.6%	15.7%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control35Command20

CompsDan Meyer (age 27) · Brian Holmes (age 26) · Luis Ysla (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132140vR 148

ERA6.04

FIP6.04

K%13.3%

BB%16.6%

K-BB%-3.3%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL3535

CMD2020

K†3030

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)
2018	18	ROK MLE	DSL Cubs 1	15	10	61	233	61	7	2	67%	4.1	17.8%	3.8%	14.0%	1.2%	0.73	2.73	—
2018	18	ROK RAW	DSL Cubs 1	15	10	61	233	61	7	2	67%	4.1	26.2%	3.0%	23.2%	0.9%	0.73	1.88	—
2019	19	ROK MLE	AZL Cubs 1	11	9	47	204	44	24	2	82%	4.3	14.7%	14.7%	-0.0%	1.4%	3.61	4.48	—
2019	19	ROK RAW	AZL Cubs 1	11	9	47	204	44	24	2	82%	4.3	21.6%	11.8%	9.8%	1.0%	3.61	3.31	—
2021	21	MIX MLE	3 levels	13	5	38	153	57	16	6	38%	2.9	27.3%	9.0%	18.3%	2.8%	3.52	3.50	—
2021	21	MIX RAW	3 levels	13	5	38	153	57	16	6	38%	2.9	37.3%	10.5%	26.8%	3.9%	3.52	3.41	—
2022	22	A MLE	Myrtle Beach Pelicans	23	5	69	308	106	51	7	22%	3.0	25.5%	19.5%	5.9%	3.1%	4.43	5.15	—
2022	22	A RAW	Myrtle Beach Pelicans	23	5	69	308	106	51	7	22%	3.0	34.4%	16.6%	17.9%	2.3%	4.43	3.56	—
2023	23	MIX MLE	2 levels	16	8	63	264	87	34	2	50%	4.0	24.8%	15.0%	9.8%	0.9%	2.42	3.39	—
2023	23	MIX RAW	2 levels	16	8	63	264	87	34	2	50%	4.0	33.0%	12.9%	20.1%	0.8%	2.42	2.37	—
2024	24	AA MLE	Corpus Christi Hooks	21	11	80	352	92	39	11	52%	3.8	21.2%	12.2%	9.0%	3.9%	5.31	4.98	—
2024	24	AA MLE	Corpus Christi Hooks	21	11	80	352	92	39	11	52%	3.8	21.2%	12.2%	9.0%	3.9%	5.31	4.98	—
2024	24	AA RAW	Corpus Christi Hooks	21	11	80	352	92	39	11	52%	3.8	26.1%	11.1%	15.1%	3.1%	5.31	4.05	—
2025	25	AA MLE	Corpus Christi Hooks	13	6	41	182	24	25	2	46%	3.2	10.7%	15.1%	-4.4%	1.2%	4.57	4.80	—
2025	25	AA MLE	Corpus Christi Hooks	13	6	41	182	24	25	2	46%	3.2	10.7%	15.1%	-4.4%	1.2%	4.57	4.80	—
2025	25	AA RAW	Corpus Christi Hooks	13	6	41	182	24	25	2	46%	3.2	13.2%	13.7%	-0.5%	1.1%	4.57	4.38	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	HOU	1	0	1	4	1	1	0	0%	1.0	13.3%	16.6%	-3.3%	2.9%	6.04	6.04	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	HOU	40	0	42	176	25	28	5	0%	1.0	14.2%	16.0%	-1.8%	3.0%	5.92	5.95	-0.6
2029	29	MLB MLE	HOU	33	0	34	144	21	23	5	0%	1.0	14.6%	15.7%	-1.1%	3.1%	5.90	5.96	-0.5
2028	28	MLB CTX	HOU	15	0	16	68	10	11	2	0%	1.1	14.2%	16.0%	-1.8%	3.0%	5.92	5.95	-0.2
2029	29	MLB CTX	HOU	18	0	19	80	12	13	3	0%	1.1	14.6%	15.7%	-1.1%	3.1%	5.90	5.96	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		33	0	35	146	21	23	5	0%	1.1	14.4%	15.9%	-1.4%	3.1%	5.91	5.58	-0.4
/ 200 IP	—	RAW		190	0	200	844	121	133	29	0%	1.1	14.4%	15.9%	-1.4%	3.1%	5.91	5.58	-2.4
Career	—	MLE		112	54	400	1696	351	223	38	48%	3.6	20.7%	13.1%	7.6%	2.2%	3.55	4.24	-1.2
/ 200 IP	—	MLE		56	27	200	847	175	111	19	48%	3.6	20.7%	13.1%	7.6%	2.2%	3.55	4.24	-3.1

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 AACorpus Christi Hooks · 41 IPFIP 4.33 → 4.80 (+0.47)K% 13.2% → 10.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.19%	—	×0.810	10.68%
BB% (unintentional) /BF	13.74%	—	×1.100	15.11%
HR / BF /BF	1.10%	÷1.057	×1.200	1.25%

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 111).

Result: FIP 4.33 → 4.80, 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).

2024 AACorpus Christi Hooks · 80 IPFIP 4.01 → 4.98 (+0.97)K% 26.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.14%	—	×0.810	21.17%
BB% (unintentional) /BF	11.08%	—	×1.100	12.19%
HR / BF /BF	3.12%	÷0.970	×1.200	3.86%

Result: FIP 4.01 → 4.98, 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 AFayetteville Woodpeckers · 36 IPFIP 2.18 → 3.34 (+1.16)K% 34.3% → 25.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.27%	—	×0.740	25.36%
BB% (unintentional) /BF	12.59%	—	×1.180	14.85%
HR / BF /BF	0.70%	÷0.993	×1.300	0.92%

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 99).

Result: FIP 2.18 → 3.34, 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).

2023 A+Asheville Tourists · 27 IPFIP 2.58 → 3.45 (+0.87)K% 31.4% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.40%	—	×0.770	24.18%
BB% (unintentional) /BF	13.22%	—	×1.150	15.21%
HR / BF /BF	0.83%	÷1.218	×1.250	0.85%

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 144).

Result: FIP 2.58 → 3.45, 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 AMyrtle Beach Pelicans · 69 IPFIP 3.54 → 5.15 (+1.61)K% 34.4% → 25.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.42%	—	×0.740	25.47%
BB% (unintentional) /BF	16.56%	—	×1.180	19.54%
HR / BF /BF	2.27%	÷0.942	×1.300	3.14%

Result: FIP 3.54 → 5.15, 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 Cubs · 26 IPFIP 1.75 → 3.50 (+1.75)K% 40.2% → 27.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.21%	—	×0.680	27.34%
BB% (unintentional) /BF	7.22%	—	×1.250	9.02%
HR / BF /BF	2.06%	÷1.014	×1.400	2.85%

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 103).

Result: FIP 1.75 → 3.50, 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 AMyrtle Beach Pelicans · 10 IPFIP 2.28 → 3.96 (+1.68)K% 43.9% → 32.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.90%	—	×0.740	32.49%
BB% (unintentional) /BF	12.20%	—	×1.180	14.39%
HR / BF /BF	2.44%	÷0.977	×1.300	3.24%

Result: FIP 2.28 → 3.96, 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 ROKAZL Cubs 1 · 47 IPFIP 3.31 → 4.48 (+1.17)K% 21.6% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.57%	—	×0.680	14.67%
BB% (unintentional) /BF	11.76%	—	×1.250	14.71%
HR / BF /BF	0.98%	÷1.000	×1.400	1.37%

Result: FIP 3.31 → 4.48, 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
Luis Angel Rodriguez (OGILVIE)	—	—	6.04	13.3%	16.6%	2.9%	—	5.95	14.4%	-1.5%	76	-0.09	—	—	—
Dan Meyer L 2008 · 5.66 FIP	27	SW	5.66	15.2%	10.6%	4.5%	.315	3.73	23.1%	15.2%	58	-1.93	3.73	112	66
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	66
Luis Ysla L 2019 · 5.78 FIP	27	SP-	5.78	18.0%	14.4%	4.3%	.337	—	—	—	—	—	3.75	378	66
Jake Miednik L 2022 · 6.12 FIP	26	SP-	6.12	10.5%	14.6%	3.8%	.348	—	—	—	—	—	1.55	126	64
Matt Stalcup L 2016 · 6.20 FIP	26	SW	6.20	11.5%	12.7%	4.5%	.337	—	—	—	—	—	3.62	145	64
Aaron Rozek L 2023 · 4.87 FIP	27	SP-	4.87	17.4%	8.8%	3.9%	.311	4.34	16.7%	9.5%	356	-0.53	3.68	579	63
Matthew Spann L 2016 · 5.15 FIP	25	SW	5.15	15.1%	16.9%	2.2%	.375	—	—	—	—	—	3.93	173	63
Aaron Leasher L 2023 · 4.98 FIP	27	SW	4.98	15.1%	17.1%	1.8%	.291	—	—	—	—	—	4.04	477	61
Cody Dickson L 2017 · 5.48 FIP	25	SW	5.48	15.9%	14.6%	3.4%	.317	—	—	—	—	—	3.88	354	61
Luis Leroy Cruz L 2015 · 5.03 FIP	24	SP-	5.03	16.0%	10.1%	3.7%	.289	—	—	—	—	—	5.03	116	61
Mitch Stallings L 2021 · 5.48 FIP	26	SW	5.48	16.8%	11.5%	4.3%	.328	—	—	—	—	—	2.18	108	61
Kevin Smith L 2022 · 6.20 FIP	25	SW	6.20	17.5%	16.2%	4.6%	.269	—	—	—	—	—	3.26	248	60
Cam Vieaux L 2021 · 5.10 FIP	27	SP-	5.10	18.0%	11.8%	3.7%	.288	4.45	20.0%	10.8%	122	-0.65	4.20	620	59
Demetrio Gutierrez L 2017 · 5.46 FIP	27	SW	5.46	11.4%	9.6%	3.8%	.381	3.68	17.1%	11.8%	49	-1.78	3.68	322	59
Dalton Stambaugh L 2022 · 5.32 FIP	25	SW	5.32	15.4%	11.9%	3.7%	.317	—	—	—	—	—	3.18	148	58
Nick Allgeyer L 2023 · 5.65 FIP	27	SW	5.65	18.9%	12.1%	4.8%	.294	—	—	—	—	—	3.74	390	58
Brad Mills L 2011 · 5.37 FIP	26	SP-	5.37	19.8%	12.1%	4.4%	.328	5.61	18.8%	7.9%	21	+0.24	4.22	243	58
Pat Misch L 2009 · 5.15 FIP	27	SW	5.15	8.5%	7.4%	3.3%	.271	3.50	14.5%	12.6%	38	-1.65	3.50	265	58
Anderson Polanco L 2019 · 5.09 FIP	26	SU	5.09	18.9%	16.3%	2.8%	.317	—	—	—	—	—	4.10	316	58
Chris Michalak L 2001 · 4.92 FIP	30	SP-	4.92	11.0%	8.2%	3.1%	.291	4.71	7.0%	-4.3%	14	-0.21	4.71	186	58

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	0.7	45	13.9%	16.2%	1.15	5.97
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Lloyd Allen ('69-'75, -5 WAR*)	1.5	59	19.8%*	13.9%*	0.79*	5.99*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*