Ronny Henriquez

P Miami Marlins

Age 27 RHP 5'10" / 155 lbs MLB Svc 2.0 · Ctrl thru 2030 peak 0.5 · 2027 ILInjured 60-Day (D60)

Overview

MLBRPIL-6040-MANPre-ArbFA 2031

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	MIX2 levels	39	0	61	5.64	4.57	18.9%	13.9%	—	K 16.1% · BB 12.4% · FIP 4.68
2024	24	MIX2 levels	50	4	74	3.39	3.88	23.2%	6.6%	0.6	K 20.6% · BB 6.1% · FIP 4.11
2025	25	MLBMIA	69	0	73	2.22	2.87	32.3%	8.3%	1.5
2026	26	No MLB games played
2027PROJ	27	MLBMIA	40	0	42	3.29	3.47	31.4%	6.9%	0.6
2028PROJ92% MLB	28	MLBMIA	61	0	64	3.36	3.46	31.2%	7.0%	0.8
2029PROJ93% MLB	29	MLBMIA	55	0	58	3.51	3.62	30.7%	7.3%	0.6

Last 3 seasons WAR 2.1 · Next 3 projected WAR 1.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2030Service2.669First FA2031

2027Pre-Arb$0.8M2028Arb-1$2M2029Arb-2$2M2030Arb-3$2M

Skills · percentileStatcast 2025

K%90

xwOBA vs90

FB Velo81

CompsMychal Givens (age 27) · Zac Grotz (age 26) · Justin Sterner (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9183vR 75

ERA3.29

FIP3.47

K%31.4%

BB%6.9%

K-BB%24.5%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Grades · Statcast · Contract

Scouting Grades

STUF6565

CTRL5050

CMD6565

K†7070

Statcast Percentiles

FB Velo

p8196.7

Whiff%

p9036.0%

p9032.3%

xwOBA vs

p900.270

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2022

Service 2.669 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2028	Arb-1	$2M	+0.8	$3M	+$2M
2029	Arb-2	$2M	+0.6	$2M	+$0.4M
2030	Arb-3	$2M	+0.4	$1M	+$0.0M (cut)
Totals		$4M		$8M	+$3M

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 Rangers 2	11	11	58	219	79	8	2	100%	5.3	24.5%	4.6%	20.0%	1.3%	1.55	2.31	—
2018	18	ROK RAW	DSL Rangers 2	11	11	58	219	79	8	2	100%	5.3	36.1%	3.7%	32.4%	0.9%	1.55	1.24	—
2019	19	A MLE	Hickory Crawdads	21	19	82	357	99	27	6	90%	3.9	20.5%	8.9%	11.6%	1.8%	4.50	3.51	—
2019	19	A RAW	Hickory Crawdads	21	19	82	357	99	27	6	90%	3.9	27.7%	7.6%	20.2%	1.7%	4.50	2.62	—
2021	21	MIX MLE	2 levels	21	16	94	387	105	25	17	76%	4.5	21.7%	7.2%	14.5%	4.9%	4.71	4.88	—
2021	21	MIX RAW	2 levels	21	16	94	387	105	25	17	76%	4.5	27.1%	6.5%	20.7%	4.4%	4.71	4.02	—
2022	22	MIX MLE	2 levels	27	14	107	462	115	36	20	52%	4.0	22.1%	8.1%	14.0%	5.3%	5.30	5.20	+0.2
2022	22	MIX RAW	2 levels	27	14	107	462	115	36	20	52%	4.0	24.9%	7.8%	17.1%	4.3%	5.30	4.39	+1.3
2023	23	MIX MLE	2 levels	39	0	61	280	53	39	6	0%	1.6	16.1%	12.4%	3.7%	2.5%	5.64	4.68	—
2023	23	MIX RAW	2 levels	39	0	61	280	53	39	6	0%	1.6	18.9%	13.9%	5.0%	2.1%	5.64	4.57	—
2024	24	MIX MLE	2 levels	50	4	74	319	74	21	11	8%	1.5	20.6%	6.1%	14.6%	3.6%	3.39	4.11	+0.4
2024	24	MIX MLE	2 levels	50	4	74	319	74	21	11	8%	1.5	20.6%	6.1%	14.6%	3.6%	3.39	4.11	+0.4
2024	24	MIX RAW	2 levels	50	4	74	319	74	21	11	8%	1.5	23.2%	6.6%	16.6%	3.4%	3.39	3.88	+0.6
2025	25	MLB MLE	Miami Marlins	69	0	73	303	98	25	8	0%	1.1	32.3%	8.3%	24.1%	2.8%	2.22	2.94	+1.4
2025	25	MLB MLE	Miami Marlins	69	0	73	303	98	25	8	0%	1.1	32.3%	8.3%	24.1%	2.8%	2.22	2.94	+1.4
2025	25	MLB RAW	Miami Marlins	69	0	73	303	98	25	8	0%	1.1	32.3%	8.3%	24.1%	2.6%	2.22	2.87	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			88	1	104	435	122	32	11	1%	1.2	28.0%	7.4%	20.7%	2.5%	2.42	3.05	+1.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	MIA	40	0	42	177	56	12	6	0%	1.1	31.4%	6.9%	24.5%	3.2%	3.29	3.47	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	MIA	66	0	69	293	91	21	10	0%	1.1	31.2%	7.0%	24.2%	3.3%	3.45	3.55	+0.9
2029	29	MLB MLE	MIA	60	0	62	264	81	19	9	0%	1.0	30.7%	7.3%	23.4%	3.5%	3.61	3.72	+0.6
2030	30	MLB MLE	MIA	53	0	56	235	70	18	9	0%	1.1	30.0%	7.6%	22.4%	3.7%	3.80	3.92	+0.4
2028	28	MLB CTX	MIA	61	0	64	270	84	19	9	0%	1.0	31.2%	7.0%	24.2%	3.2%	3.36	3.46	+0.8
2029	29	MLB CTX	MIA	55	0	58	245	75	18	8	0%	1.1	30.7%	7.3%	23.4%	3.3%	3.51	3.62	+0.6
2030	30	MLB CTX	MIA	50	0	52	220	66	17	8	0%	1.0	30.0%	7.6%	22.4%	3.5%	3.70	3.82	+0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		253	1	277	1168	347	85	35	0%	1.1	29.7%	7.3%	22.4%	3.0%	3.10	3.17	+4.6
/ 200 IP	—	RAW		183	1	200	841	250	61	25	0%	1.1	29.7%	7.3%	22.4%	3.0%	3.10	3.17	+3.3
Career	—	MLE		238	64	549	2327	522	186	80	27%	2.3	22.4%	8.0%	14.4%	3.4%	4.05	4.11	+3.7
/ 200 IP	—	MLE		87	23	200	848	190	68	29	27%	2.3	22.4%	8.0%	14.4%	3.4%	4.05	4.11	+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.

2024 AAASt. Paul Saints · 55 IPFIP 3.99 → 4.32 (+0.33)K% 24.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.89%	—	×0.860	21.41%
BB% (unintentional) /BF	7.17%	—	×0.900	6.46%
HR / BF /BF	3.80%	÷1.039	×1.100	4.02%

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 108).

Result: FIP 3.99 → 4.32, 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 AAASt. Paul Saints · 57 IPFIP 4.52 → 4.68 (+0.16)K% 18.7% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.70%	—	×0.860	16.08%
BB% (unintentional) /BF	13.74%	—	×0.900	12.37%
HR / BF /BF	2.29%	÷1.009	×1.100	2.50%

Result: FIP 4.52 → 4.68, 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 AAASt. Paul Saints · 95 IPFIP 4.47 → 5.41 (+0.94)K% 25.7% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.73%	—	×0.880	22.64%
BB% (unintentional) /BF	8.01%	—	×1.050	8.41%
HR / BF /BF	4.61%	÷0.881	×1.100	5.76%

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 76).

Result: FIP 4.47 → 5.41, 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 AAFrisco RoughRiders · 70 IPFIP 4.41 → 5.13 (+0.72)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.80%	—	×0.810	21.71%
BB% (unintentional) /BF	5.84%	—	×1.100	6.43%
HR / BF /BF	5.15%	÷1.114	×1.200	5.55%

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 123).

Result: FIP 4.41 → 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).

2021 A+Hickory Crawdads · 24 IPFIP 2.92 → 4.11 (+1.18)K% 28.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.12%	—	×0.770	21.66%
BB% (unintentional) /BF	8.33%	—	×1.150	9.58%
HR / BF /BF	2.08%	÷0.881	×1.250	2.96%

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 76).

Result: FIP 2.92 → 4.11, 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 AHickory Crawdads · 82 IPFIP 2.64 → 3.51 (+0.87)K% 27.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.73%	—	×0.740	20.52%
BB% (unintentional) /BF	7.56%	—	×1.180	8.92%
HR / BF /BF	1.68%	÷1.183	×1.300	1.85%

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 137).

Result: FIP 2.64 → 3.51, 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 ROKDSL Rangers 2 · 58 IPFIP 1.02 → 2.31 (+1.29)K% 36.1% → 24.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.07%	—	×0.680	24.53%
BB% (unintentional) /BF	3.65%	—	×1.250	4.57%
HR / BF /BF	0.91%	÷1.000	×1.400	1.28%

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 1.02 → 2.31, 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
Ronny Henriquez (OGILVIE)	—	—	3.47	31.4%	6.9%	3.2%	—	3.72	30.7%	23.4%	188	+0.25	—	—	—
Mychal Givens R 2017 · 3.28 FIP	27	SU	3.28	27.9%	7.6%	2.9%	.244	3.48	28.4%	19.3%	162	+0.20	1.77	526	66
Zac Grotz R 2019 · 2.90 FIP	26	SU	2.90	24.8%	6.0%	2.1%	.300	5.82	12.1%	3.9%	10	+2.92	2.89	183	64
Justin Sterner R 2024 · 3.92 FIP	27	SU	3.92	27.0%	8.0%	3.8%	.262	4.52	24.5%	17.6%	108	+0.60	3.90	294	64
Cory Rasmus R 2015 · 2.34 FIP	27	SU	2.34	33.3%	7.6%	2.0%	.259	5.40	14.9%	1.7%	25	+3.06	2.34	138	64
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	63
Jordan Jankowski R 2016 · 2.95 FIP	27	SU	2.95	30.3%	9.8%	2.1%	.296	4.23	23.4%	8.8%	62	+1.28	2.57	196	63
David Robertson R 2012 · 2.35 FIP	27	SU	2.35	32.7%	7.7%	1.9%	.329	2.36	33.6%	27.2%	194	+0.01	1.53	888	63
Andrew Kittredge R 2017 · 2.47 FIP	27	SU	2.47	25.0%	6.3%	1.3%	.270	3.20	26.0%	20.2%	171	+0.73	2.47	691	63
Nate Jones R 2013 · 2.58 FIP	27	SU	2.58	28.3%	7.9%	1.6%	.327	3.03	31.0%	25.7%	90	+0.45	2.57	307	63
Luke Jackson R 2019 · 2.89 FIP	27	SU	2.89	33.7%	7.0%	3.2%	.373	3.55	23.4%	13.3%	90	+0.66	2.67	580	62
Ryne Stanek R 2018 · 3.47 FIP	27	SW	3.47	30.8%	9.9%	3.1%	.250	3.95	27.9%	16.5%	145	+0.48	2.96	771	62
Albert Suárez R 2017 · 3.58 FIP	27	SU	3.58	25.2%	6.7%	3.2%	.273	4.93	15.7%	3.6%	63	+1.35	3.58	616	62
Michael Flynn R 2024 · 3.99 FIP	27	SU	3.99	27.6%	8.3%	3.9%	.277	4.68	16.2%	3.7%	50	+0.69	3.89	168	61
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	61
Gerardo Reyes R 2019 · 4.03 FIP	26	SU	4.03	29.8%	10.1%	4.0%	.310	4.50	24.7%	9.0%	46	+0.47	3.15	371	61
Hunter Bigge R 2024 · 3.38 FIP	26	SU	3.38	36.6%	8.7%	4.1%	.271	5.43	20.5%	7.2%	67	+2.05	3.38	232	61
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	61
Michael Rucker R 2021 · 4.33 FIP	27	SU	4.33	25.0%	6.6%	4.5%	.346	4.11	21.5%	12.7%	159	-0.22	3.22	595	61
Nick Mears R 2024 · 3.19 FIP	27	SU	3.19	29.3%	9.0%	2.6%	.358	3.90	20.1%	13.0%	76	+0.71	3.19	273	61
Trent Harris R 2024 · 3.45 FIP	25	SU	3.45	26.9%	9.5%	2.6%	.258	3.36	24.7%	16.7%	121	-0.09	3.06	198	61

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	1.7	69	30.0%	7.4%	1.22	3.20
Giovanny Gallegos ('24)	1.7	56	29.6%	6.6%	1.18	3.49
Chad Green ('25)	2.5	62	30.0%	6.4%	1.42	3.43
Blake Parker ('21)	1.7	58	26.7%	7.9%	1.30	3.47
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*
Joe Sambito ('76-'87, 8 WAR*)	3.1	70	26.8%*	7.5%*	1.06*	3.65*
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*