Franklin Gómez

P Lake County Captains

Age 22 LHP 6'0" / 220 lbs A+ Svc 0.0 · Ctrl thru 2033 peak 0.7 · 2029

Overview

A+PROSPECTMiLBFA 2034

OGV OFP35OGV rank#473ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ANYM	23	16	82	4.28	3.37	22.4%	11.1%	—	K 16.6% · BB 13.1% · FIP 4.52
2025	20	MIX2 levels	20	13	72	2.76	2.99	22.1%	11.1%	—	K 16.6% · BB 13.0% · FIP 3.82
2026	21	MIX2 levels	16	16	75	3.25	3.22	26.0%	8.4%	—	K 20.2% · BB 9.6% · FIP 4.15
2027PROJ	22	MLBCLE	—	—	0	4.77	4.77	19.2%	10.8%	—
2028PROJ35% MLB	23	MLBCLE	4	4	21	4.61	4.53	20.6%	10.0%	0.2
2029PROJ54% MLB	24	MLBCLE	6	6	32	4.47	4.39	21.4%	9.4%	0.4

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$1M2032Arb-2$2M2033Arb-3$3M

Career WAR0.0 WAR median (P10 -0.4 / P90 11, comp-based) · star 2% · didn't stick 78%

CompsRylan Kaufman (age 22) · Nate Peterson (age 23) · Brad Halsey (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108116vR 124

ERA4.77

FIP4.77

K%19.2%

BB%10.8%

K-BB%8.3%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

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

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Arb-1	$1M	+0.5	$1M	+$0.6M
2032	Arb-2	$2M	+0.5	$1M	+$0.0M (cut)
2033	Arb-3	$3M	+0.5	$1M	+$0.0M (cut)
Totals		$4M		$8M	+$2M

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)
2022	17	ROK MLE	DSL Mets 2	13	9	34	152	42	21	2	69%	2.6	18.8%	17.3%	1.5%	1.8%	3.67	4.71	—
2022	17	ROK RAW	DSL Mets 2	13	9	34	152	42	21	2	69%	2.6	27.6%	13.8%	13.8%	1.3%	3.67	3.25	—
2023	18	MIX MLE	2 levels	13	9	51	210	71	17	0	69%	3.9	23.4%	10.1%	13.3%	0.0%	2.66	2.41	—
2023	18	MIX RAW	2 levels	13	9	51	210	71	17	0	69%	3.9	33.8%	8.1%	25.7%	0.0%	2.66	1.30	—
2024	19	A MLE	St. Lucie Mets	23	16	82	370	83	41	5	70%	3.6	16.6%	13.1%	3.5%	2.1%	4.28	4.52	—
2024	19	A MLE	St. Lucie Mets	23	16	82	370	83	41	5	70%	3.6	16.6%	13.1%	3.5%	2.1%	4.28	4.52	—
2024	19	A RAW	St. Lucie Mets	23	16	82	370	83	41	5	70%	3.6	22.4%	11.1%	11.4%	1.4%	4.28	3.37	—
2025	20	MIX MLE	2 levels	20	13	72	307	68	34	2	65%	3.6	16.6%	13.0%	3.7%	0.9%	2.76	3.82	—
2025	20	MIX MLE	2 levels	20	13	72	307	68	34	2	65%	3.6	16.6%	13.0%	3.7%	0.9%	2.76	3.82	—
2025	20	MIX RAW	2 levels	20	13	72	307	68	34	2	65%	3.6	22.1%	11.1%	11.1%	0.7%	2.76	2.99	—
2026	21	MIX MLE	2 levels	16	16	75	308	80	26	7	100%	4.7	20.2%	9.6%	10.6%	2.8%	3.25	4.15	—
2026	21	MIX MLE	2 levels	16	16	75	308	80	26	7	100%	4.7	20.2%	9.6%	10.6%	2.8%	3.25	4.15	—
2026	21	MIX RAW	2 levels	16	16	75	308	80	26	7	100%	4.7	26.0%	8.4%	17.5%	2.3%	3.25	3.22	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	CLE	—	—	0	—	—	—	—	—	—	19.2%	10.8%	8.3%	2.8%	4.77	4.77	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CLE	11	11	59	247	51	25	7	100%	5.3	20.6%	10.0%	10.6%	2.8%	4.61	4.53	+0.6
2029	24	MLB MLE	CLE	10	10	59	247	53	23	7	100%	5.9	21.4%	9.4%	11.9%	2.8%	4.47	4.39	+0.7
2030	25	MLB MLE	CLE	9	9	54	227	50	21	6	100%	6.0	21.8%	9.1%	12.7%	2.8%	4.37	4.31	+0.7
2031	26	MLB MLE	CLE	9	9	54	228	50	21	6	100%	6.0	22.1%	9.1%	13.0%	2.8%	4.32	4.29	+0.7
2032	27	MLB MLE	CLE	9	9	52	222	49	20	6	100%	5.8	22.1%	9.2%	12.9%	2.8%	4.32	4.32	+0.7
2033	28	MLB MLE	CLE	8	8	50	211	46	20	6	100%	6.2	21.9%	9.3%	12.6%	2.9%	4.37	4.41	+0.6
2034	29	MLB MLE	CLE	8	8	46	195	42	19	6	100%	5.8	21.7%	9.6%	12.2%	3.1%	4.47	4.54	+0.5
2035	30	MLB MLE	CLE	7	7	42	175	37	17	6	100%	5.9	21.4%	9.8%	11.5%	3.3%	4.62	4.72	+0.3
2028	23	MLB CTX	CLE	4	4	21	89	18	9	2	100%	5.2	20.6%	10.0%	10.6%	2.8%	4.61	4.53	+0.2
2029	24	MLB CTX	CLE	6	6	32	135	29	13	4	100%	5.3	21.4%	9.4%	11.9%	2.8%	4.47	4.39	+0.4
2030	25	MLB CTX	CLE	6	6	36	152	33	14	4	100%	6.0	21.8%	9.1%	12.7%	2.8%	4.37	4.31	+0.5
2031	26	MLB CTX	CLE	7	7	41	173	38	16	5	100%	5.9	22.1%	9.1%	13.0%	2.8%	4.32	4.29	+0.5
2032	27	MLB CTX	CLE	7	7	43	182	40	17	5	100%	6.1	22.1%	9.2%	12.9%	2.8%	4.32	4.32	+0.5
2033	28	MLB CTX	CLE	7	7	42	177	39	17	5	100%	6.0	21.9%	9.3%	12.6%	2.9%	4.37	4.41	+0.5
2034	29	MLB CTX	CLE	7	7	40	169	37	16	5	100%	5.7	21.7%	9.6%	12.2%	3.1%	4.47	4.54	+0.4
2035	30	MLB CTX	CLE	6	6	37	156	33	15	5	100%	6.2	21.4%	9.8%	11.5%	3.3%	4.62	4.72	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		50	50	292	1234	268	116	36	100%	5.8	21.7%	9.4%	12.3%	2.9%	4.42	4.05	+4.7
/ 200 IP	—	RAW		34	34	200	844	183	79	25	100%	5.9	21.7%	9.4%	12.3%	2.9%	4.42	4.05	+3.2
Career	—	MLE		85	63	313	1347	252	165	22	74%	3.7	18.7%	12.3%	6.5%	1.6%	3.36	3.97	+4.7
/ 200 IP	—	MLE		54	40	200	860	161	105	14	74%	3.7	18.7%	12.3%	6.5%	1.6%	3.36	3.97	+2.3

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 A+Lake County Captains · 58 IPFIP 2.87 → 3.84 (+0.97)K% 27.6% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.62%	—	×0.770	21.26%
BB% (unintentional) /BF	7.53%	—	×1.150	8.66%
HR / BF /BF	2.09%	÷1.000	×1.250	2.62%

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 100).

Result: FIP 2.87 → 3.84, 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 AAAkron RubberDucks · 17 IPFIP 4.45 → 5.24 (+0.79)K% 20.3% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.29%	—	×0.810	16.43%
BB% (unintentional) /BF	11.59%	—	×1.100	12.75%
HR / BF /BF	2.90%	÷1.000	×1.200	3.48%

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 100).

Result: FIP 4.45 → 5.24, 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 ASt. Lucie Mets · 49 IPFIP 3.06 → 3.94 (+0.88)K% 21.4% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.740	15.86%
BB% (unintentional) /BF	11.73%	—	×1.180	13.85%
HR / BF /BF	0.51%	÷0.855	×1.300	0.78%

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 71).

Result: FIP 3.06 → 3.94, 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+Brooklyn Cyclones · 23 IPFIP 2.87 → 3.60 (+0.72)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.42%	—	×0.770	18.04%
BB% (unintentional) /BF	9.91%	—	×1.150	11.40%
HR / BF /BF	0.90%	÷1.073	×1.250	1.05%

Result: FIP 2.87 → 3.60, 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 ASt. Lucie Mets · 82 IPFIP 3.35 → 4.52 (+1.17)K% 22.4% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.43%	—	×0.740	16.60%
BB% (unintentional) /BF	11.08%	—	×1.180	13.08%
HR / BF /BF	1.35%	÷0.826	×1.300	2.13%

Result: FIP 3.35 → 4.52, 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 ROKFCL Mets · 48 IPFIP 1.22 → 2.41 (+1.18)K% 34.3% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.34%	—	×0.680	23.35%
BB% (unintentional) /BF	8.08%	—	×1.250	10.10%
HR / BF /BF	0.00%	÷1.040	×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 108).

Result: FIP 1.22 → 2.41, 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).

2022 ROKDSL Mets 2 · 34 IPFIP 3.24 → 4.71 (+1.47)K% 27.6% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.63%	—	×0.680	18.79%
BB% (unintentional) /BF	13.82%	—	×1.250	17.27%
HR / BF /BF	1.32%	÷1.000	×1.400	1.84%

Result: FIP 3.24 → 4.71, 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
Franklin Gómez (OGILVIE)	—	—	—	—	—	2.8%	—	4.41	21.2%	11.7%	171	-0.36	—	—	—
Rylan Kaufman L 2021 · 4.60 FIP	22	SP	4.60	19.3%	12.1%	2.9%	.305	4.75	18.9%	4.5%	131	+0.15	4.01	212	88
Nate Peterson L 2023 · 4.46 FIP	23	SP-	4.46	18.4%	11.4%	2.7%	.284	5.04	17.2%	5.3%	241	+0.58	4.27	315	87
Brad Halsey L 2004 · 4.31 FIP	23	SP	4.31	16.3%	9.2%	2.6%	.336	4.43	11.9%	5.4%	254	+0.12	4.31	286	84
Matt Mikulski L 2022 · 4.92 FIP	23	SP-	4.92	19.4%	10.0%	4.0%	.360	6.03	16.3%	-2.8%	144	+1.11	4.92	223	83
Antonio Bastardo L 2009 · 4.73 FIP	23	SP	4.73	17.9%	8.5%	3.8%	.297	3.04	33.0%	22.1%	129	-1.69	2.47	404	83
Christian MacLeod L 2023 · 4.52 FIP	23	SP	4.52	16.4%	10.5%	2.7%	.312	4.61	19.4%	5.0%	215	+0.09	3.88	280	83
Dallas Braden L 2007 · 4.14 FIP	23	SP-	4.14	16.6%	7.5%	2.7%	.337	3.89	14.1%	7.8%	401	-0.25	3.64	491	83
Jimmy Robbins L 2022 · 3.85 FIP	24	SP-	3.85	23.3%	11.3%	2.3%	.286	4.82	18.0%	2.8%	99	+0.97	3.85	176	82
Hayden Mullins L 2024 · 4.39 FIP	23	SP-	4.39	23.4%	12.4%	3.1%	.288	3.69	25.5%	11.8%	194	-0.70	3.54	283	82
John Beller L 2021 · 4.48 FIP	22	SP	4.48	19.7%	14.1%	2.3%	.326	4.35	22.2%	7.1%	90	-0.13	4.16	170	82
Mac Lardner L 2021 · 4.75 FIP	23	SP-	4.75	18.9%	8.5%	4.0%	.332	4.34	17.5%	8.1%	119	-0.41	3.66	186	82
Evan Shawver L 2022 · 4.32 FIP	22	SP	4.32	18.8%	10.6%	2.7%	.289	4.73	18.0%	4.0%	152	+0.41	3.79	281	82
Jordan Woods L 2024 · 4.51 FIP	20	SP	4.51	20.5%	10.3%	3.3%	.329	4.18	20.5%	8.3%	139	-0.33	3.92	170	81
Robby Ahlstrom L 2022 · 4.62 FIP	23	SP-	4.62	20.1%	9.0%	3.8%	.349	4.04	21.9%	8.9%	175	-0.58	3.79	332	81
Kyle Twomey L 2016 · 4.07 FIP	22	SP-	4.07	17.6%	10.5%	2.1%	.298	3.96	14.8%	6.9%	68	-0.11	3.96	141	81
Cole Ragans L 2021 · 5.14 FIP	23	SP	5.14	20.2%	11.2%	4.2%	.296	3.34	26.8%	17.5%	445	-1.80	2.48	623	81
Bailey Horn L 2021 · 4.99 FIP	23	SP-	4.99	19.7%	12.7%	3.6%	.300	4.60	22.3%	10.3%	152	-0.39	3.90	265	81
Adam Tulloch L 2023 · 4.51 FIP	23	SP-	4.51	20.3%	14.1%	2.4%	.313	4.62	18.1%	1.5%	150	+0.11	4.24	246	80
Dominic Perachi L 2023 · 5.19 FIP	22	SP-	5.19	17.5%	13.9%	3.3%	.324	3.80	17.1%	6.8%	186	-1.39	3.33	277	80
Caleb Baragar L 2016 · 3.65 FIP	22	SP-	3.65	15.6%	9.2%	1.3%	.300	4.48	16.5%	8.1%	330	+0.83	3.65	557	80

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	2.3	52	21.3%	9.6%	1.11	4.48
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Cliff Politte ('06)	2.1	51	19.3%	9.6%	1.23	4.40
Stan Belinda ('00)	3.4	61	21.3%	9.9%	1.13	4.12
Jerry Don Gleaton ('79-'92, 2 WAR*)	2.2	64	19.4%*	10.2%*	1.05*	4.44*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*