Ramon Marquez

P Eugene Emeralds

Age 21 RHP 6'2" / 182 lbs A+ Svc 0.0 · Ctrl thru 2033 peak 1.6 · 2030

Overview

A+PROSPECTMiLBFA 2034

OGV OFP50OGV rank#26ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	MIX2 levels	14	12	55	4.42	2.35	30.3%	7.1%	—	K 21.1% · BB 8.8% · FIP 3.84
2026	20	MIX2 levels	14	13	69	2.22	1.68	40.2%	7.7%	—	K 30.4% · BB 8.9% · FIP 2.73
2027PROJ	21	MLBSF	—	—	0	3.64	3.64	29.4%	8.8%	—
2028PROJ49% MLB	22	MLBSF	11	11	58	3.49	3.42	29.6%	8.2%	1.3
2029PROJ73% MLB	23	MLBSF	19	19	103	3.43	3.35	29.8%	7.9%	2.4

Next 3 projected WAR 3.8Projected 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$7M2032Arb-2$13M2033Arb-3$18M

Career WAR0.8 WAR median (P10 -0.5 / P90 22, comp-based) · star 2% · didn't stick 71%

CompsRyan Murphy (age 21) · José De León (age 22) · Spencer Strider (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10294vR 86

ERA3.64

FIP3.64

K%29.4%

BB%8.8%

K-BB%20.6%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$89M 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	+1.3	$10M	+$9M
2029	Pre-Arb	$0.8M	+2.4	$16M	+$16M
2030	Pre-Arb	$0.8M	+2.9	$20M	+$20M
2031	Arb-1	$7M	+3.1	$21M	+$16M
2032	Arb-2	$13M	+3.3	$22M	+$14M
2033	Arb-3	$18M	+3.2	$19M	+$10M
Totals		$41M		$108M	+$84M

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)
2025	19	MIX MLE	2 levels	14	12	55	238	72	17	4	86%	3.9	21.1%	8.8%	12.3%	2.6%	4.42	3.84	—
2025	19	MIX MLE	2 levels	14	12	55	238	72	17	4	86%	3.9	21.1%	8.8%	12.3%	2.6%	4.42	3.84	—
2025	19	MIX RAW	2 levels	14	12	55	238	72	17	4	86%	3.9	30.3%	7.1%	23.1%	1.7%	4.42	2.35	—
2026	20	MIX MLE	2 levels	14	13	69	261	105	20	4	93%	4.9	30.4%	8.9%	21.5%	2.0%	2.22	2.73	—
2026	20	MIX MLE	2 levels	14	13	69	261	105	20	4	93%	4.9	30.4%	8.9%	21.5%	2.0%	2.22	2.73	—
2026	20	MIX RAW	2 levels	14	13	69	261	105	20	4	93%	4.9	40.2%	7.7%	32.6%	1.5%	2.22	1.68	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	SF	—	—	0	—	—	—	—	—	—	29.4%	8.8%	20.6%	2.8%	3.64	3.64	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	SF	23	23	117	493	146	41	14	100%	5.1	29.6%	8.2%	21.4%	2.8%	3.60	3.53	+2.7
2029	23	MLB MLE	SF	26	26	141	597	178	47	16	100%	5.4	29.8%	7.9%	21.9%	2.7%	3.54	3.46	+3.3
2030	24	MLB MLE	SF	26	26	143	604	181	46	16	100%	5.5	30.0%	7.6%	22.3%	2.7%	3.47	3.41	+3.5
2031	25	MLB MLE	SF	24	24	142	601	181	45	16	100%	5.9	30.2%	7.5%	22.7%	2.7%	3.42	3.37	+3.5
2032	26	MLB MLE	SF	24	24	143	605	184	45	16	100%	6.0	30.4%	7.5%	22.9%	2.7%	3.38	3.35	+3.6
2033	27	MLB MLE	SF	23	23	141	595	181	45	16	100%	6.1	30.4%	7.6%	22.8%	2.8%	3.38	3.38	+3.5
2034	28	MLB MLE	SF	23	23	136	573	173	44	16	100%	5.9	30.2%	7.7%	22.5%	2.9%	3.43	3.47	+3.2
2035	29	MLB MLE	SF	21	21	128	541	162	43	16	100%	6.1	30.0%	7.9%	22.1%	3.0%	3.53	3.60	+2.8
2036	30	MLB MLE	SF	20	20	118	497	148	41	16	100%	5.9	29.7%	8.2%	21.4%	3.2%	3.68	3.78	+2.3
2037	31	MLB MLE	SF	18	18	106	448	131	39	15	100%	5.9	29.3%	8.6%	20.7%	3.4%	3.86	3.98	+1.8
2038	32	MLB MLE	SF	16	16	94	396	114	36	15	100%	5.9	28.8%	9.0%	19.8%	3.7%	4.07	4.21	+1.3
2039	33	MLB MLE	SF	13	13	81	342	97	32	14	100%	6.2	28.3%	9.4%	18.9%	4.0%	4.30	4.46	+0.9
2040	34	MLB MLE	SF	11	11	69	291	81	29	12	100%	6.3	27.8%	9.9%	17.8%	4.3%	4.56	4.73	+0.5
2028	22	MLB CTX	SF	11	11	58	245	73	20	6	100%	5.3	29.6%	8.2%	21.4%	2.5%	3.49	3.42	+1.3
2029	23	MLB CTX	SF	19	19	103	435	130	34	11	100%	5.4	29.8%	7.9%	21.9%	2.5%	3.43	3.35	+2.4
2030	24	MLB CTX	SF	21	21	119	502	151	38	13	100%	5.7	30.0%	7.6%	22.3%	2.5%	3.36	3.30	+2.9
2031	25	MLB CTX	SF	22	22	126	532	161	40	13	100%	5.7	30.2%	7.5%	22.7%	2.5%	3.31	3.26	+3.1
2032	26	MLB CTX	SF	22	22	131	553	168	41	14	100%	6.0	30.4%	7.5%	22.9%	2.5%	3.27	3.24	+3.3
2033	27	MLB CTX	SF	22	22	131	553	168	42	14	100%	6.0	30.4%	7.6%	22.8%	2.5%	3.27	3.27	+3.2
2034	28	MLB CTX	SF	21	21	127	536	162	41	14	100%	6.0	30.2%	7.7%	22.5%	2.6%	3.31	3.35	+3.0
2035	29	MLB CTX	SF	20	20	122	515	155	41	14	100%	6.1	30.0%	7.9%	22.1%	2.8%	3.41	3.48	+2.7
2036	30	MLB CTX	SF	19	19	112	473	140	39	14	100%	5.9	29.7%	8.2%	21.4%	3.0%	3.55	3.65	+2.2
2037	31	MLB CTX	SF	17	17	101	426	125	37	14	100%	5.9	29.3%	8.6%	20.7%	3.2%	3.72	3.84	+1.7
2038	32	MLB CTX	SF	15	15	89	376	108	34	13	100%	5.9	28.8%	9.0%	19.8%	3.4%	3.92	4.06	+1.2
2039	33	MLB CTX	SF	13	13	77	325	92	31	12	100%	5.9	28.3%	9.4%	18.9%	3.7%	4.14	4.30	+0.8
2040	34	MLB CTX	SF	10	10	62	262	73	26	10	100%	6.2	27.8%	9.9%	17.8%	3.9%	4.38	4.55	+0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		232	232	1357	5728	1702	464	162	100%	5.8	29.7%	8.1%	21.6%	2.8%	3.52	3.17	+37.7
/ 200 IP	—	RAW		34	34	200	844	251	68	24	100%	5.9	29.7%	8.1%	21.6%	2.8%	3.52	3.17	+5.6
Career	—	MLE		28	25	124	499	130	44	11	89%	4.4	26.0%	8.9%	17.1%	2.2%	3.19	3.26	+32.7
/ 200 IP	—	MLE		45	40	200	805	209	71	18	89%	4.4	26.0%	8.9%	17.1%	2.2%	3.19	3.26	+4.2

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 A+Eugene Emeralds · 40 IPFIP 1.35 → 2.45 (+1.10)K% 40.0% → 30.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.770	30.80%
BB% (unintentional) /BF	6.90%	—	×1.150	7.93%
HR / BF /BF	1.38%	÷1.000	×1.250	1.72%

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 1.35 → 2.45, 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 AClearwater Threshers · 29 IPFIP 1.72 → 3.09 (+1.37)K% 40.5% → 30.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.52%	—	×0.740	29.98%
BB% (unintentional) /BF	8.62%	—	×1.180	10.17%
HR / BF /BF	1.72%	÷1.000	×1.300	2.24%

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 100).

Result: FIP 1.72 → 3.09, 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 ROKFCL Phillies · 38 IPFIP 2.80 → 4.52 (+1.72)K% 29.8% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.76%	—	×0.680	20.24%
BB% (unintentional) /BF	7.14%	—	×1.250	8.93%
HR / BF /BF	2.38%	÷0.917	×1.400	3.64%

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 83).

Result: FIP 2.80 → 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).

2025 AClearwater Threshers · 17 IPFIP 1.35 → 2.20 (+0.85)K% 31.4% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.43%	—	×0.740	23.26%
BB% (unintentional) /BF	7.14%	—	×1.180	8.43%
HR / BF /BF	0.00%	÷1.083	×1.300	0.00%

Result: FIP 1.35 → 2.20, 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
Ramon Marquez (OGILVIE)	—	—	—	—	—	2.8%	—	3.46	29.8%	21.9%	401	-0.18	—	—	—
Ryan Murphy R 2021 · 3.56 FIP	21	SP	3.56	29.4%	7.3%	3.7%	.279	4.53	20.9%	9.8%	181	+0.97	2.54	367	85
José De León R 2015 · 3.50 FIP	22	SP	3.50	27.9%	8.6%	3.0%	.295	3.62	25.9%	17.9%	130	+0.12	3.24	445	85
Spencer Strider R 2021 · 3.37 FIP	22	SP	3.37	30.7%	11.6%	2.5%	.298	2.16	37.4%	29.6%	318	-1.21	1.65	589	84
Cade Horton R 2023 · 3.22 FIP	21	SP	3.22	26.0%	8.8%	2.2%	.273	3.59	21.9%	14.0%	181	+0.37	3.22	270	84
Gavin Stone R 2021 · 3.15 FIP	22	SP	3.15	27.3%	7.8%	2.5%	.385	3.59	22.9%	14.5%	394	+0.44	2.39	500	82
Kyle Brnovich R 2021 · 3.95 FIP	23	SP	3.95	25.1%	7.5%	3.7%	.256	5.54	20.7%	11.0%	89	+1.59	3.95	338	81
Chase Hampton R 2023 · 4.04 FIP	21	SP	4.04	26.1%	9.5%	3.5%	.296	7.55	16.7%	-0.5%	36	+3.51	4.04	142	81
Jaden Hamm R 2024 · 3.79 FIP	21	SP	3.79	23.5%	8.9%	2.8%	.273	4.79	17.1%	7.3%	83	+1.00	3.79	182	80
Cole Henry R 2021 · 2.96 FIP	22	SP	2.96	29.8%	7.8%	2.5%	.233	4.99	21.8%	7.7%	56	+2.03	2.96	186	80
Tink Hence R 2024 · 2.64 FIP	21	SP	2.64	27.6%	8.9%	1.4%	.300	6.15	17.4%	1.0%	20	+3.51	2.07	248	78
Owen Wild R 2024 · 3.67 FIP	22	SP	3.67	23.2%	7.2%	2.9%	.319	4.90	21.2%	12.1%	166	+1.23	3.67	287	77
Danny Salazar R 2013 · 3.22 FIP	23	SP	3.22	30.8%	7.1%	3.3%	.298	3.46	26.2%	18.4%	432	+0.24	3.22	587	77
Chase Silseth R 2022 · 4.42 FIP	22	SP	4.42	25.2%	9.3%	4.1%	.260	4.18	21.3%	9.7%	165	-0.24	3.23	337	77
Sawyer Gipson-Long R 2021 · 3.87 FIP	23	SP	3.87	24.0%	7.6%	3.4%	.360	4.59	22.7%	15.9%	243	+0.72	3.87	512	76
Gavin Williams R 2022 · 3.44 FIP	23	SP	3.44	26.2%	9.9%	2.4%	.238	3.87	25.1%	14.3%	398	+0.43	3.39	697	76
Brandon Bailey R 2017 · 3.54 FIP	22	SP-	3.54	24.6%	9.9%	2.3%	.290	4.44	21.2%	9.6%	215	+0.90	3.54	306	76
Sam Benschoter R 2022 · 3.71 FIP	24	SP-	3.71	26.3%	9.2%	3.0%	.344	4.96	18.7%	8.6%	306	+1.25	3.61	441	75
Kumar Rocker R 2023 · 2.86 FIP	23	SP	2.86	29.1%	7.3%	2.4%	.317	3.88	21.9%	13.4%	260	+1.02	1.93	288	75
Braxton Bragg R 2024 · 3.70 FIP	23	SP	3.70	22.3%	6.4%	3.0%	.325	2.58	26.2%	18.1%	59	-1.12	2.58	155	75
Carson Ragsdale R 2021 · 4.21 FIP	23	SP	4.21	25.0%	10.7%	3.4%	.349	4.27	25.0%	14.6%	148	+0.06	2.00	352	75

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	8.2	118	29.7%	8.1%	1.17	3.64
James Paxton ('24)	4.8	95	25.3%	7.9%	1.05	3.77
Danny Salazar ('19)	3.0	118	27.7%	8.6%	1.14	3.82
Kenta Maeda ('25)	4.9	123	25.8%	7.0%	1.30	4.20
Jose DeLeon ('83-'95, 22 WAR*)	9.5	146	25.8%*	10.4%*	1.01*	4.17*
Floyd Bannister ('77-'92, 28 WAR*)	11.9	159	24.7%*	8.2%*	1.37*	4.18*
Len Barker ('76-'87, 15 WAR*)	6.6	132	26.4%*	9.0%*	0.87*	4.55*