Marlon Franco

P ACL Giants

Age 24 RHP 6'1" / 228 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	ROKSF	14	5	54	5.00	3.30	20.7%	6.5%	—	K 14.1% · BB 8.1% · FIP 4.32
2026	23	ROKSF	17	4	39	7.15	2.61	26.0%	6.6%	—	K 17.7% · BB 8.3% · FIP 3.93
2027PROJ	24	MLBSF	54	0	57	4.94	4.94	15.0%	8.8%	-0.2
2028PROJ43% MLB	25	MLBSF	24	0	25	4.82	4.78	16.6%	8.7%	-0.1
2029PROJ66% MLB	26	MLBSF	36	0	38	4.74	4.71	17.5%	8.7%	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control50Command40

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

CompsBrad Deppermann (age 25) · Scott Burke (age 24) · Tyler Yates (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.94

FIP4.94

K%15.0%

BB%8.8%

K-BB%6.3%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL5050

CMD4040

K†3040

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 + 2027 so far)
2021	18	ROK MLE	DSL Giants Orange	12	0	15	67	17	7	3	0%	1.2	17.3%	13.1%	4.2%	5.8%	5.52	6.50	—
2021	18	ROK RAW	DSL Giants Orange	12	0	15	67	17	7	3	0%	1.2	25.4%	10.4%	14.9%	4.5%	5.52	4.87	—
2022	19	ROK MLE	DSL Giants Black	20	1	28	132	28	15	5	5%	1.4	14.4%	14.2%	0.2%	4.9%	6.43	6.39	—
2022	19	ROK RAW	DSL Giants Black	20	1	28	132	28	15	5	5%	1.4	21.2%	11.4%	9.8%	3.8%	6.43	5.03	—
2023	20	ROK MLE	DSL Giants Black	14	8	40	171	30	7	2	57%	2.9	11.9%	5.1%	6.8%	1.5%	2.68	3.54	—
2023	20	ROK RAW	DSL Giants Black	14	8	40	171	30	7	2	57%	2.9	17.5%	4.1%	13.5%	1.2%	2.68	2.78	—
2024	21	ROK MLE	DSL Giants Black	12	9	49	195	46	5	2	75%	4.1	16.0%	3.2%	12.8%	1.3%	1.65	2.87	—
2024	21	ROK MLE	DSL Giants Black	12	9	49	195	46	5	2	75%	4.1	16.0%	3.2%	12.8%	1.3%	1.65	2.87	—
2024	21	ROK RAW	DSL Giants Black	12	9	49	195	46	5	2	75%	4.1	23.6%	2.6%	21.0%	1.0%	1.65	2.06	—
2025	22	ROK MLE	ACL Giants	14	5	54	246	51	16	5	36%	3.9	14.1%	8.1%	6.0%	2.5%	5.00	4.32	—
2025	22	ROK MLE	ACL Giants	14	5	54	246	51	16	5	36%	3.9	14.1%	8.1%	6.0%	2.5%	5.00	4.32	—
2025	22	ROK RAW	ACL Giants	14	5	54	246	51	16	5	36%	3.9	20.7%	6.5%	14.2%	2.0%	5.00	3.30	—
2026	23	ROK MLE	ACL Giants	17	4	39	181	47	12	3	24%	2.3	17.7%	8.3%	9.4%	2.3%	7.15	3.93	—
2026	23	ROK MLE	ACL Giants	17	4	39	181	47	12	3	24%	2.3	17.7%	8.3%	9.4%	2.3%	7.15	3.93	—
2026	23	ROK RAW	ACL Giants	17	4	39	181	47	12	3	24%	2.3	26.0%	6.6%	19.3%	1.7%	7.15	2.61	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	SF	54	0	57	241	36	21	7	0%	1.1	15.0%	8.8%	6.3%	2.9%	4.94	4.94	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	SF	55	0	58	244	41	21	7	0%	1.1	16.6%	8.7%	7.9%	2.9%	4.82	4.78	-0.2
2029	26	MLB MLE	SF	55	0	58	244	43	21	7	0%	1.1	17.5%	8.7%	8.8%	2.9%	4.74	4.71	-0.1
2028	25	MLB CTX	SF	24	0	25	106	18	9	3	0%	1.0	16.6%	8.7%	7.9%	2.9%	4.82	4.78	-0.1
2029	26	MLB CTX	SF	36	0	38	160	28	14	5	0%	1.1	17.5%	8.7%	8.8%	2.9%	4.74	4.71	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	266	46	23	8	0%	1.1	17.2%	8.7%	8.5%	2.9%	4.77	4.36	+0.1
/ 200 IP	—	RAW		190	0	200	844	146	73	25	0%	1.1	17.2%	8.7%	8.5%	2.9%	4.77	4.36	+0.4
Career	—	MLE		89	27	225	992	149	78	26	30%	2.5	15.0%	7.8%	7.2%	2.6%	4.44	4.26	-0.3
/ 200 IP	—	MLE		79	24	200	882	132	69	23	30%	2.5	15.0%	7.8%	7.2%	2.6%	4.44	4.26	-0.5

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
Marlon Franco (OGILVIE)	—	—	4.94	15.0%	8.8%	2.9%	—	4.75	17.1%	8.4%	116	-0.20	—	—	—
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	91
Scott Burke R 2018 · 4.55 FIP	24	SW	4.55	14.2%	7.7%	3.0%	.316	5.27	14.9%	6.7%	61	+0.72	4.55	119	90
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	88
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	88
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	86
Kevin Johnson R 2015 · 4.69 FIP	24	SW	4.69	11.0%	8.5%	2.6%	.302	5.52	9.9%	-2.0%	26	+0.83	4.69	106	86
Ross Ohlendorf R 2008 · 4.73 FIP	25	SW	4.73	16.3%	9.3%	3.3%	.357	4.63	15.4%	7.7%	324	-0.10	3.30	617	85
Chad Jenkins R 2012 · 5.06 FIP	24	SW	5.06	11.8%	7.4%	3.7%	.257	3.56	12.8%	7.6%	159	-1.50	3.26	220	85
Sun-Woo Kim R 2002 · 3.97 FIP	24	SW	3.97	13.9%	5.8%	2.4%	.290	4.48	14.2%	7.5%	232	+0.51	3.25	337	85
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	85
Sergio Mitre R 2005 · 5.18 FIP	24	SW	5.18	13.8%	7.8%	4.1%	.256	3.84	13.0%	6.6%	190	-1.34	3.55	602	84
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	84
Dylan Cumming R 2023 · 4.11 FIP	24	SW	4.11	16.0%	10.7%	1.8%	.311	4.31	18.4%	9.4%	314	+0.20	3.75	406	84
Devin Burke R 2015 · 4.27 FIP	24	SU	4.27	11.7%	7.0%	2.3%	.275	4.20	13.7%	8.8%	87	-0.07	4.20	149	83
Tyler Barnette R 2016 · 4.46 FIP	24	SW	4.46	13.0%	10.0%	2.2%	.333	3.99	10.7%	-3.5%	13	-0.47	3.57	173	83
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	83
Aaron Northcraft R 2015 · 4.37 FIP	25	SW	4.37	13.6%	10.2%	2.1%	.286	4.19	16.1%	7.8%	91	-0.18	3.32	252	83
Donovan Hand R 2013 · 4.72 FIP	27	SW	4.72	12.9%	7.0%	3.3%	.279	4.30	11.1%	6.8%	97	-0.42	4.30	305	82
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	82
Daniel Blair R 2023 · 4.10 FIP	24	SW	4.10	16.6%	10.0%	2.1%	.284	4.39	17.0%	7.8%	78	+0.29	4.10	171	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.9	58	16.4%	8.7%	1.14	4.83
Vinnie Chulk ('12)	1.4	57	16.0%	9.0%	0.98	4.51
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Vic Darensbourg ('05)	1.5	50	17.0%	9.3%	1.01	4.96
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Dave Leiper ('84-'96, 0 WAR*)	1.4	46	15.6%*	9.1%*	0.94*	4.28*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*