Yorman Gómez

P Columbus Clippers

Age 24 RHP 5'11" / 200 lbs AAA peak 0.3 · 2028

Overview

AAA40-MANPROSPECT

ETA2028MLB%30%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX2 levels	25	23	122	3.98	3.42	21.5%	8.6%	—	K 16.0% · BB 10.1% · FIP 4.43
2025	22	MIX2 levels	27	15	122	2.96	2.43	27.6%	9.5%	—	K 21.7% · BB 10.8% · FIP 3.18
2026	23	MIX2 levels	18	17	70	6.46	6.06	23.0%	12.3%	—	K 18.5% · BB 11.2% · FIP 7.06
2027PROJ	24	MLBCLE	4	4	20	5.52	5.52	19.6%	11.8%	-0.0
2028PROJ59% MLB	25	MLBCLE	9	9	51	5.34	5.30	20.2%	11.1%	0.1
2029PROJ75% MLB	26	MLBCLE	10	10	60	5.23	5.20	20.5%	10.8%	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.4 / P90 6.0, comp-based) · star 1% · didn't stick 80%

CompsWill Sanders (age 22) · Connor Staine (age 23) · Paxton Schultz (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.52

FIP5.52

K%19.6%

BB%11.8%

K-BB%7.7%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 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)
2021	18	ROK MLE	DSL Indians Red	12	12	50	210	49	16	7	100%	4.2	15.9%	9.5%	6.3%	4.6%	3.58	5.48	—
2021	18	ROK RAW	DSL Indians Red	12	12	50	210	49	16	7	100%	4.2	23.3%	7.6%	15.7%	3.3%	3.58	3.91	—
2022	19	ROK MLE	ACL Guardians	11	10	38	160	44	8	2	91%	3.5	18.7%	6.2%	12.5%	1.9%	3.76	3.36	—
2022	19	ROK RAW	ACL Guardians	11	10	38	160	44	8	2	91%	3.5	27.5%	5.0%	22.5%	1.2%	3.76	2.11	—
2023	20	A MLE	Lynchburg Hillcats	25	22	102	461	100	52	4	88%	4.1	16.1%	13.3%	2.7%	1.1%	4.40	4.04	—
2023	20	A RAW	Lynchburg Hillcats	25	22	102	461	100	52	4	88%	4.1	21.7%	11.3%	10.4%	0.9%	4.40	3.18	—
2024	21	MIX MLE	2 levels	25	23	122	526	113	45	10	92%	4.9	16.0%	10.1%	5.9%	2.6%	3.98	4.43	—
2024	21	MIX MLE	2 levels	25	23	122	526	113	45	10	92%	4.9	16.0%	10.1%	5.9%	2.6%	3.98	4.43	—
2024	21	MIX RAW	2 levels	25	23	122	526	113	45	10	92%	4.9	21.5%	8.6%	12.9%	1.9%	3.98	3.42	—
2025	22	MIX MLE	2 levels	27	15	122	504	139	48	4	56%	4.5	21.7%	10.8%	10.9%	1.0%	2.96	3.18	—
2025	22	MIX MLE	2 levels	27	15	122	504	139	48	4	56%	4.5	21.7%	10.8%	10.9%	1.0%	2.96	3.18	—
2025	22	MIX RAW	2 levels	27	15	122	504	139	48	4	56%	4.5	27.6%	9.5%	18.1%	0.8%	2.96	2.43	—
2026	23	MIX MLE	2 levels	18	17	70	309	71	38	18	94%	3.9	18.5%	11.2%	7.3%	7.5%	6.46	7.06	—
2026	23	MIX MLE	2 levels	18	17	70	309	71	38	18	94%	3.9	18.5%	11.2%	7.3%	7.5%	6.46	7.06	—
2026	23	MIX RAW	2 levels	18	17	70	309	71	38	18	94%	3.9	23.0%	12.3%	10.7%	5.8%	6.46	6.06	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CLE	4	4	20	84	17	10	3	100%	5.0	19.6%	11.8%	7.7%	4.0%	5.52	5.52	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CLE	15	15	87	366	74	40	14	100%	5.8	20.2%	11.1%	9.1%	3.9%	5.34	5.30	+0.1
2029	26	MLB MLE	CLE	13	13	80	338	69	36	13	100%	6.2	20.5%	10.8%	9.8%	3.8%	5.23	5.20	+0.2
2030	27	MLB MLE	CLE	13	13	76	322	66	34	12	100%	5.9	20.6%	10.7%	9.9%	3.8%	5.19	5.19	+0.2
2031	28	MLB MLE	CLE	12	12	72	304	62	33	12	100%	6.0	20.5%	10.8%	9.7%	3.9%	5.22	5.25	+0.1
2032	29	MLB MLE	CLE	11	11	67	282	57	31	11	100%	6.1	20.3%	11.0%	9.3%	4.0%	5.32	5.38	+0.0
2033	30	MLB MLE	CLE	10	10	60	255	51	29	11	100%	6.0	19.9%	11.3%	8.6%	4.2%	5.46	5.56	-0.1
2028	25	MLB CTX	CLE	9	9	51	215	43	24	8	100%	5.7	20.2%	11.1%	9.1%	3.9%	5.34	5.30	+0.1
2029	26	MLB CTX	CLE	10	10	60	253	52	27	10	100%	6.0	20.5%	10.8%	9.8%	3.8%	5.23	5.20	+0.1
2030	27	MLB CTX	CLE	10	10	63	266	55	28	10	100%	6.3	20.6%	10.7%	9.9%	3.8%	5.19	5.19	+0.1
2031	28	MLB CTX	CLE	10	10	63	266	55	29	10	100%	6.3	20.5%	10.8%	9.7%	3.9%	5.22	5.25	+0.1
2032	29	MLB CTX	CLE	10	10	60	253	51	28	10	100%	6.0	20.3%	11.0%	9.3%	4.0%	5.32	5.38	+0.0
2033	30	MLB CTX	CLE	9	9	55	232	46	26	10	100%	6.1	19.9%	11.3%	8.6%	4.2%	5.46	5.56	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		59	59	353	1490	303	163	59	100%	6.0	20.3%	10.9%	9.4%	3.9%	5.29	4.93	+1.9
/ 200 IP	—	RAW		33	33	200	844	172	92	33	100%	6.0	20.3%	10.9%	9.4%	3.9%	5.29	4.93	+1.1
Career	—	MLE		118	99	504	2170	388	233	59	84%	4.3	17.9%	10.7%	7.1%	2.7%	4.10	4.45	+0.5
/ 200 IP	—	MLE		47	39	200	861	154	92	24	84%	4.3	17.9%	10.7%	7.1%	2.7%	4.10	4.45	+0.2

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 AAAColumbus Clippers · 59 IPFIP 6.59 → 7.06 (+0.47)K% 21.5% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.51%	—	×0.860	18.50%
BB% (unintentional) /BF	12.45%	—	×0.900	11.21%
HR / BF /BF	6.79%	÷1.000	×1.100	7.47%

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 6.59 → 7.06, 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).

2026 ROKACL Guardians · 10 IPFIP 1.85 → 3.07 (+1.22)K% 31.8% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.82%	—	×0.680	21.64%
BB% (unintentional) /BF	11.36%	—	×1.250	14.20%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

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 1.85 → 3.07, 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).

2025 A+Lake County Captains · 76 IPFIP 2.54 → 3.38 (+0.84)K% 27.3% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.30%	—	×0.770	21.02%
BB% (unintentional) /BF	9.54%	—	×1.150	10.97%
HR / BF /BF	0.99%	÷1.011	×1.250	1.22%

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 102).

Result: FIP 2.54 → 3.38, 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).

2025 AAAkron RubberDucks · 46 IPFIP 2.21 → 2.86 (+0.65)K% 28.0% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.00%	—	×0.810	22.68%
BB% (unintentional) /BF	9.50%	—	×1.100	10.45%
HR / BF /BF	0.50%	÷0.926	×1.200	0.65%

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 85).

Result: FIP 2.21 → 2.86, 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).

2024 ALynchburg Hillcats · 104 IPFIP 3.10 → 4.17 (+1.07)K% 21.5% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.52%	—	×0.740	15.93%
BB% (unintentional) /BF	8.52%	—	×1.180	10.05%
HR / BF /BF	1.35%	÷0.844	×1.300	2.07%

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 3.10 → 4.17, 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 A+Lake County Captains · 18 IPFIP 5.16 → 5.88 (+0.72)K% 21.2% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.25%	—	×0.770	16.36%
BB% (unintentional) /BF	8.75%	—	×1.150	10.06%
HR / BF /BF	5.00%	÷1.190	×1.250	5.25%

Result: FIP 5.16 → 5.88, 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 · 102 IPFIP 3.17 → 4.04 (+0.87)K% 21.7% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.69%	—	×0.740	16.05%
BB% (unintentional) /BF	11.28%	—	×1.180	13.31%
HR / BF /BF	0.87%	÷1.017	×1.300	1.11%

Result: FIP 3.17 → 4.04, 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 ROKACL Guardians · 38 IPFIP 2.10 → 3.36 (+1.27)K% 27.5% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.50%	—	×0.680	18.70%
BB% (unintentional) /BF	5.00%	—	×1.250	6.25%
HR / BF /BF	1.25%	÷0.915	×1.400	1.91%

Result: FIP 2.10 → 3.36, 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
Yorman Gómez (OGILVIE)	—	—	—	—	—	4.0%	—	5.23	20.4%	9.6%	243	-0.29	—	—	—
Will Sanders R 2024 · 4.95 FIP	22	SP	4.95	19.3%	11.8%	3.6%	.297	4.11	20.1%	12.5%	173	-0.84	3.92	266	86
Connor Staine R 2024 · 4.80 FIP	23	SP	4.80	20.3%	12.6%	3.3%	.266	5.19	16.1%	3.4%	230	+0.39	3.86	414	85
Paxton Schultz R 2022 · 5.27 FIP	24	SP-	5.27	17.5%	12.2%	3.8%	.293	4.31	21.9%	11.8%	274	-0.96	3.83	543	85
Khristian Curtis R 2024 · 5.48 FIP	22	SP	5.48	18.8%	14.4%	3.9%	.275	4.62	20.6%	8.4%	216	-0.86	4.60	291	84
Derek True R 2024 · 4.90 FIP	23	SP-	4.90	18.5%	10.5%	3.7%	.333	4.95	17.6%	5.9%	73	+0.05	4.50	170	84
Jake Bockenstedt R 2024 · 6.05 FIP	24	SP	6.05	17.0%	13.1%	5.0%	.322	4.35	16.8%	5.4%	126	-1.70	3.74	218	84
Aaron Heilman R 2003 · 5.57 FIP	24	SP	5.57	16.2%	12.4%	4.1%	.311	3.13	22.0%	14.1%	223	-2.44	2.76	630	84
Rafael Montero R 2014 · 5.04 FIP	23	SP-	5.04	21.6%	11.9%	4.1%	.298	4.32	19.3%	8.2%	296	-0.72	2.43	714	84
Josh Bostick R 2024 · 4.65 FIP	22	SP	4.65	19.3%	11.2%	3.2%	.304	5.40	21.7%	12.6%	119	+0.75	4.65	226	83
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	83
Bryce Osmond R 2023 · 5.56 FIP	22	SP	5.56	18.0%	12.4%	4.4%	.294	7.13	16.7%	3.8%	80	+1.57	5.56	177	83
Trent Palmer R 2022 · 4.79 FIP	23	SP	4.79	22.0%	10.4%	4.1%	.284	4.83	12.8%	-9.4%	22	+0.04	3.51	140	82
Angel Guzman R 2006 · 4.73 FIP	24	SP-	4.73	22.1%	13.2%	3.3%	.353	3.88	19.6%	12.0%	91	-0.85	3.13	147	82
Riley Thompson R 2019 · 4.69 FIP	23	SP	4.69	16.5%	9.4%	3.3%	.288	5.32	21.7%	7.0%	57	+0.63	4.48	340	82
Tim Redding R 2002 · 4.40 FIP	24	SP-	4.40	19.4%	9.8%	3.1%	.309	4.48	13.8%	5.4%	307	+0.08	3.97	822	81
Joel Hanrahan R 2007 · 5.58 FIP	25	SP	5.58	17.4%	15.4%	3.6%	.318	3.06	27.8%	18.1%	218	-2.52	2.08	397	81
Jarrod Cande R 2024 · 5.42 FIP	24	SP	5.42	16.7%	11.0%	4.3%	.256	5.72	11.7%	-3.6%	23	+0.30	4.31	315	81
Bud Norris R 2009 · 4.47 FIP	24	SP	4.47	21.7%	9.6%	3.6%	.309	4.01	22.5%	13.5%	508	-0.46	3.51	1,221	81
David Griffin R 2021 · 4.43 FIP	25	SP	4.43	19.2%	11.9%	2.6%	.279	5.25	15.4%	5.9%	168	+0.82	4.43	239	81
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	81

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	2.5	73	20.2%	11.0%	1.53	5.32
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Rich DeLucia ('90-'99, 1 WAR*)	3.1	78	23.2%*	10.5%*	1.55*	4.65*
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Jorge López ('25)	2.8	70	19.8%	8.8%	1.36	5.31
Darrel Akerfelds ('86-'91, -3 WAR*)	1.2	78	15.8%*	11.9%*	1.61*	5.40*