Ofreidy Gómez

P Syracuse Mets

Age 32 RHP 6'3" / 240 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	27	MIX2 levels	38	3	43	5.19	3.75	26.6%	15.9%	—	K 22.4% · BB 16.9% · FIP 4.19
2023	28	MIX2 levels	26	0	32	6.75	3.88	25.2%	16.6%	—	K 22.0% · BB 17.1% · FIP 3.91
2026	31	AAANYM	30	3	42	5.18	4.08	23.7%	16.2%	—	K 20.4% · BB 14.5% · FIP 4.13
2027PROJ	32	MLBNYM	15	0	16	4.89	4.89	21.9%	14.3%	-0.1
2028PROJ37% MLB	33	MLBNYM	39	0	41	4.97	5.07	21.4%	14.1%	-0.2
2029PROJ32% MLB	34	MLBNYM	27	0	28	5.14	5.29	20.9%	14.1%	-0.2

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsPete Walker (age 33) · Elian Leyva (age 30) · Austin Bibens-Dirkx (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.89

FIP4.89

K%21.9%

BB%14.3%

K-BB%7.6%

Proj IP157

Value2027 · WAR

Runs saved vs league avg · 157 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)
2015	20	ROK MLE	DSL Royals	14	11	50	219	42	17	1	79%	3.6	13.0%	9.7%	3.3%	0.6%	3.04	3.58	—
2015	20	ROK RAW	DSL Royals	14	11	50	219	42	17	1	79%	3.6	19.2%	7.8%	11.4%	0.5%	3.04	2.70	—
2016	21	ROK MLE	Burlington Royals	12	12	55	233	44	27	4	100%	4.6	12.8%	14.5%	-1.6%	2.4%	5.20	5.17	—
2016	21	ROK RAW	Burlington Royals	12	12	55	233	44	27	4	100%	4.6	18.9%	11.6%	7.3%	1.7%	5.20	3.91	—
2017	22	A MLE	Lexington Legends	28	22	137	620	108	46	12	79%	4.9	12.9%	8.8%	4.1%	2.4%	5.18	4.42	—
2017	22	A RAW	Lexington Legends	28	22	137	620	108	46	12	79%	4.9	17.4%	7.4%	10.0%	1.9%	5.18	3.67	—
2018	23	A+ MLE	Wilmington Blue Rocks	27	22	135	596	104	60	13	81%	5.0	13.4%	11.6%	1.9%	3.5%	3.40	5.37	—
2018	23	A+ RAW	Wilmington Blue Rocks	27	22	135	596	104	60	13	81%	5.0	17.4%	10.1%	7.4%	2.2%	3.40	4.14	—
2019	24	MIX MLE	2 levels	28	22	129	573	119	57	14	79%	4.6	16.9%	10.8%	6.1%	3.2%	4.33	4.78	—
2019	24	MIX RAW	2 levels	28	22	129	573	119	57	14	79%	4.6	20.8%	9.9%	10.8%	2.4%	4.33	3.99	—
2021	26	MIX MLE	2 levels	31	5	50	218	59	32	3	16%	1.6	22.5%	15.8%	6.6%	1.4%	5.01	3.95	—
2021	26	MIX RAW	2 levels	31	5	50	218	59	32	3	16%	1.6	27.1%	14.7%	12.4%	1.4%	5.01	3.44	—
2022	27	MIX MLE	2 levels	38	3	43	207	55	33	3	8%	1.1	22.4%	16.9%	5.5%	1.5%	5.19	4.19	—
2022	27	MIX RAW	2 levels	38	3	43	207	55	33	3	8%	1.1	26.6%	15.9%	10.6%	1.4%	5.19	3.75	—
2023	28	MIX MLE	2 levels	26	0	32	163	41	27	2	0%	1.2	22.0%	17.1%	4.9%	0.9%	6.75	3.91	—
2023	28	MIX RAW	2 levels	26	0	32	163	41	27	2	0%	1.2	25.2%	16.6%	8.6%	1.2%	6.75	3.88	—
2026	31	AAA MLE	Syracuse Mets	30	3	42	198	47	32	3	10%	1.4	20.4%	14.5%	5.9%	1.7%	5.18	4.13	—
2026	31	AAA MLE	Syracuse Mets	30	3	42	198	47	32	3	10%	1.4	20.4%	14.5%	5.9%	1.7%	5.18	4.13	—
2026	31	AAA RAW	Syracuse Mets	30	3	42	198	47	32	3	10%	1.4	23.7%	16.2%	7.6%	1.5%	5.18	4.08	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	NYM	15	0	16	68	15	10	2	0%	1.1	21.9%	14.3%	7.6%	2.6%	4.89	4.89	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	NYM	106	0	111	469	100	66	14	0%	1.0	21.4%	14.1%	7.3%	2.9%	4.97	5.07	-0.6
2029	34	MLB MLE	NYM	83	0	87	366	77	52	12	0%	1.0	20.9%	14.1%	6.8%	3.2%	5.14	5.29	-0.7
2028	33	MLB CTX	NYM	39	0	41	173	37	24	5	0%	1.1	21.4%	14.1%	7.3%	2.9%	4.97	5.07	-0.2
2029	34	MLB CTX	NYM	27	0	28	118	25	17	4	0%	1.0	20.9%	14.1%	6.8%	3.2%	5.14	5.29	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		66	0	69	291	62	41	9	0%	1.0	21.2%	14.1%	7.1%	3.1%	5.04	4.78	-0.2
/ 200 IP	—	RAW		190	0	200	844	180	119	26	0%	1.1	21.2%	14.1%	7.1%	3.1%	5.04	4.78	-0.5
Career	—	MLE		234	100	674	3027	487	367	72	43%	2.9	16.1%	12.1%	4.0%	2.4%	4.56	4.58	-1.4
/ 200 IP	—	MLE		69	30	200	898	144	109	21	43%	2.9	16.1%	12.1%	4.0%	2.4%	4.56	4.58	-1.4

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 AAASyracuse Mets · 42 IPFIP 3.97 → 4.13 (+0.16)K% 23.7% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.74%	—	×0.860	20.41%
BB% (unintentional) /BF	16.16%	—	×0.900	14.55%
HR / BF /BF	1.52%	÷1.000	×1.100	1.67%

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 100).

Result: FIP 3.97 → 4.13, 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).

2023 AAANorfolk Tides · 22 IPFIP 3.80 → 3.91 (+0.11)K% 25.6% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.62%	—	×0.860	22.03%
BB% (unintentional) /BF	19.01%	—	×0.900	17.11%
HR / BF /BF	0.83%	÷0.995	×1.100	0.91%

Result: FIP 3.80 → 3.91, 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 AABowie Baysox · 10 IPFIP 3.60 → 4.10 (+0.49)K% 23.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.810	19.29%
BB% (unintentional) /BF	9.52%	—	×1.100	10.48%
HR / BF /BF	2.38%	÷1.208	×1.200	2.37%

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 142).

Result: FIP 3.60 → 4.10, 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 AAALehigh Valley IronPigs · 23 IPFIP 5.25 → 5.68 (+0.43)K% 21.8% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.77%	—	×0.880	19.16%
BB% (unintentional) /BF	20.97%	—	×1.050	22.02%
HR / BF /BF	2.42%	÷1.039	×1.100	2.56%

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 108).

Result: FIP 5.25 → 5.68, 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 AAReading Fightin Phils · 20 IPFIP 1.32 → 1.97 (+0.65)K% 33.7% → 27.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.73%	—	×0.810	27.33%
BB% (unintentional) /BF	8.43%	—	×1.100	9.28%
HR / BF /BF	0.00%	÷1.051	×1.200	0.00%

Result: FIP 1.32 → 1.97, 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 AABirmingham Barons · 32 IPFIP 2.64 → 3.40 (+0.76)K% 32.8% → 26.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.81%	—	×0.810	26.58%
BB% (unintentional) /BF	14.84%	—	×1.100	16.33%
HR / BF /BF	0.78%	÷1.087	×1.200	0.86%

Result: FIP 2.64 → 3.40, 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 AAACharlotte Knights · 19 IPFIP 4.55 → 4.75 (+0.19)K% 18.9% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.89%	—	×0.880	16.62%
BB% (unintentional) /BF	14.44%	—	×1.050	15.17%
HR / BF /BF	2.22%	÷1.190	×1.100	2.05%

Result: FIP 4.55 → 4.75, 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 AANorthwest Arkansas Naturals · 116 IPFIP 3.68 → 4.59 (+0.91)K% 22.2% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.20%	—	×0.810	17.98%
BB% (unintentional) /BF	9.00%	—	×1.100	9.90%
HR / BF /BF	2.40%	÷0.901	×1.200	3.20%

Result: FIP 3.68 → 4.59, 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
Ofreidy Gómez (OGILVIE)	—	—	—	—	—	2.6%	—	5.17	21.2%	7.0%	198	+0.28	—	—	—
Pete Walker R 2002 · 4.59 FIP	33	SP-	4.59	13.4%	7.7%	3.0%	.279	5.16	12.0%	2.8%	139	+0.57	4.45	327	55
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	55
Austin Bibens-Dirkx R 2017 · 5.03 FIP	32	SW	5.03	14.0%	6.6%	4.2%	.268	5.28	17.5%	9.7%	166	+0.25	3.97	567	55
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	54
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	3.37	468	54
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	54
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	54
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	53
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	52
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	51
Junior Guerra R 2017 · 5.24 FIP	32	SP-	5.24	19.4%	12.8%	3.9%	.255	3.99	22.2%	12.5%	248	-1.25	3.18	646	51
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	51
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	50
Brian Sanches R 2011 · 4.35 FIP	32	SU	4.35	19.6%	11.1%	2.7%	.250	—	—	—	—	—	3.39	229	49
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	49
Hector Galvan R 2019 · 4.84 FIP	31	SP-	4.84	14.3%	12.2%	2.6%	.357	—	—	—	—	—	3.59	406	48
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	47
Al Levine R 2000 · 4.86 FIP	32	SU	4.86	9.9%	10.3%	2.4%	.267	4.68	12.1%	3.0%	210	-0.18	3.45	575	46
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	45
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	45

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	1.8	118	21.5%	14.2%	1.11	4.98
Kazuhisa Ishii ('02-'05, 1 WAR*)	2.8	141	19.8%*	13.6%*	1.14*	4.72*
Tony Saunders ('99)	1.7	115	19.7%	13.2%	0.86	4.56
Les Cain ('68-'72, 2 WAR*)	1.9	93	24.6%*	12.9%*	1.00*	4.66*
Kaz Ishii ('05)	2.8	141	17.4%	14.2%	1.12	4.44
Scipio Spinks ('69-'73, 2 WAR*)	1.0	67	23.7%*	12.2%*	1.04*	4.52*
Floyd Youmans ('85-'89, 6 WAR*)	2.7	108	23.5%*	11.9%*	1.06*	4.23*