Reyes Moronta — OGILVIE

Reyes Moronta P Salt Lake Bees

Age 33 RHP 5'10" / 265 lbs AAA peak 0.2 · 2026

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10496vR 87

ERA4.24

FIP4.22

K%26.1%

BB%10.7%

K-BB%15.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL3030

CMD5050

K†6060

Statcast Percentiles

FB Velo

p6195.3

Whiff%

p6227.1%

p5823.6%

xwOBA vs

p800.283

SL-0.6

FB-2.0

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 industry-standard fWAR.

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 + 2026 so far)
2015	22	A MLE	Augusta GreenJackets	42	0	49	226	64	22	1	0%	1.2	21.0%	11.5%	9.5%	0.6%	5.73	3.12	—
2015	22	A RAW	Augusta GreenJackets	42	0	49	226	64	22	1	0%	1.2	28.3%	9.7%	18.6%	0.4%	5.73	2.09	—
2016	23	A+ MLE	San Jose Giants	60	0	59	243	93	20	7	0%	1.0	29.5%	9.5%	20.0%	3.4%	2.59	3.70	—
2016	23	A+ RAW	San Jose Giants	60	0	59	243	93	20	7	0%	1.0	38.3%	8.2%	30.0%	2.9%	2.59	2.51	—
2017	24	MIX MLE	4 levels	41	0	44	186	58	22	3	0%	1.1	23.9%	14.3%	9.5%	1.8%	2.89	3.86	+0.4
2017	24	MIX RAW	4 levels	41	0	44	186	58	22	3	0%	1.1	31.2%	11.8%	19.4%	1.6%	2.89	2.85	+0.9
2018	25	MLB MLE	San Francisco Giants	69	0	65	262	79	33	4	0%	0.9	30.2%	12.6%	17.6%	1.7%	2.49	3.06	+1.2
2018	25	MLB RAW	San Francisco Giants	69	0	65	262	79	33	4	0%	0.9	30.2%	12.6%	17.6%	1.5%	2.49	2.99	+1.2
2019	26	MLB MLE	San Francisco Giants	56	0	57	246	70	32	4	0%	1.0	28.5%	13.0%	15.4%	1.8%	2.86	3.31	+0.8
2019	26	MLB RAW	San Francisco Giants	56	0	57	246	70	32	4	0%	1.0	28.5%	13.0%	15.4%	1.6%	2.86	3.24	+0.9
2021	28	MIX MLE	2 levels	28	2	22	111	21	26	4	7%	0.8	17.1%	27.9%	-10.8%	3.4%	9.41	7.05	-0.6
2021	28	MIX RAW	2 levels	28	2	22	111	21	26	4	7%	0.8	18.9%	23.4%	-4.5%	3.6%	9.41	7.10	-0.7
2022	29	MIX MLE	2 levels	50	0	48	207	55	26	6	0%	1.0	23.6%	10.6%	13.0%	3.3%	3.97	4.25	+0.2
2022	29	MIX RAW	2 levels	50	0	48	207	55	26	6	0%	1.0	26.6%	12.6%	14.0%	2.9%	3.97	4.07	+0.3
2023	30	MIX MLE	2 levels	36	0	42	194	54	38	4	0%	1.2	23.6%	17.2%	6.4%	1.8%	3.43	4.28	+0.1
2023	30	MIX MLE	2 levels	36	0	42	194	54	38	4	0%	1.2	23.6%	17.2%	6.4%	1.8%	3.43	4.28	+0.1
2023	30	MIX RAW	2 levels	36	0	42	194	54	38	4	0%	1.2	27.8%	19.6%	8.2%	2.1%	3.43	4.48	+0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			177	0	171	722	202	87	16	0%	1.0	28.0%	12.0%	15.9%	2.2%	3.05	3.48	+2.2
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	LAA	5	0	5	21	6	2	1	0%	1.0	26.1%	10.7%	15.4%	2.9%	4.24	4.22	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	LAA	46	0	49	206	52	23	7	0%	1.1	25.2%	11.2%	14.0%	3.2%	4.41	4.52	+0.0
2028	35	MLB MLE	LAA	42	0	44	185	45	22	7	0%	1.0	24.3%	11.8%	12.5%	3.5%	4.68	4.86	-0.2
2027	34	MLB CTX	LAA	3	0	3	13	3	1	0	0%	1.0	25.2%	11.2%	14.0%	3.2%	4.41	4.52	+0.0
2028	35	MLB CTX	LAA	—	—	0	—	—	—	—	—	—	24.3%	11.8%	12.5%	3.5%	4.68	4.86	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	0	174	735	205	88	16	0%	1.0	27.9%	12.0%	15.9%	2.2%	3.07	3.49	+2.2
/ 200 IP	—	RAW		206	0	200	843	235	101	18	0%	1.0	27.9%	12.0%	15.9%	2.2%	3.07	3.49	+2.5
Career	—	MLE		382	2	385	1675	426	227	36	1%	1.0	25.4%	13.5%	11.9%	2.1%	3.70	3.84	+2.0
/ 200 IP	—	MLE		199	1	200	871	221	118	19	1%	1.0	25.4%	13.5%	11.9%	2.1%	3.70	3.84	+1.5

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
Reyes Moronta (OGILVIE)	—	—	4.22	26.1%	10.7%	2.9%	—	4.68	24.8%	13.3%	92	+0.46	—	—	—
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	86
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	85
Blake Wood R 2017 · 3.44 FIP	31	SU	3.44	25.3%	9.3%	2.4%	.364	—	—	—	—	—	2.92	210	83
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	82
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	81
Ross Ohlendorf R 2016 · 4.93 FIP	33	SU	4.93	23.4%	10.7%	4.5%	.254	—	—	—	—	—	3.30	122	80
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.58	22.0%	11.7%	191	+0.06	3.08	366	79
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	78
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	77
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	77
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	76
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	76
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	74
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	73
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	73
Nate Jones R 2018 · 4.09 FIP	32	SU	4.09	23.4%	10.9%	2.9%	.279	5.85	21.4%	13.8%	38	+1.76	2.57	157	73
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	5.01	20.8%	10.0%	88	+1.97	2.79	239	73
Tim Dillard R 2016 · 3.13 FIP	33	SU	3.13	22.6%	8.2%	1.7%	.358	4.14	13.7%	6.9%	250	+1.01	3.13	352	72
Mark Lowe R 2016 · 5.40 FIP	33	SU	5.40	21.9%	8.5%	5.6%	.312	5.03	16.4%	6.4%	49	-0.37	2.37	153	72
Jumbo Diaz R 2017 · 4.17 FIP	33	SU	4.17	20.0%	9.7%	2.8%	.302	2.90	24.2%	15.4%	98	-1.27	2.80	284	72

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.7	49	25.3%	11.2%	1.23	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64