Randy Rodríguez

Randy Rodríguez P San Francisco Giants

Age 26 RHP 6'0" / 195 lbs MLB Svc 1.0 · Ctrl thru 2030 peak 0.9 · 2026 ILInjured 60-Day (D60)

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 71 proj IP

wRC+ AGAINSTvL 8375vR 66

ERA3.11

FIP3.13

K%31.1%

BB%6.4%

K-BB%24.7%

ROS IP71

Value2026 · WAR

Runs saved vs league avg · 71 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL5555

CMD6565

K†7070

Statcast Percentiles

FB Velo

p9097.4

Whiff%

p8731.1%

p9033.8%

xwOBA vs

p900.251

FB+6.2 (55%)

SL+5.5 (45%)

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

Status Pre-Arb

MLB Debut 2024

Service 1.860 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	+0.1	$0.3M	+$0.3M
2027	Pre-Arb	$0.8M	+1.2	$9M	+$8M
2028	Arb-1	$3M	+1.1	$8M	+$5M
2029	Arb-2	$5M	+0.9	$3M	+$0.0M (cut)
2030	Arb-3	$6M	+0.7	$2M	+$0.0M (cut)
Totals		$4M		$22M	+$13M

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 + 2026 so far)
2018	18	ROK MLE	DSL Giants	10	2	27	116	34	9	1	20%	2.7	19.9%	9.7%	10.2%	1.2%	4.28	3.31	—
2018	18	ROK RAW	DSL Giants	10	2	27	116	34	9	1	20%	2.7	29.3%	7.8%	21.6%	0.9%	4.28	2.08	—
2019	19	ROK MLE	AZL Giants Black	16	0	25	116	29	16	1	0%	1.6	17.0%	17.2%	-0.2%	1.2%	5.40	4.51	—
2019	19	ROK RAW	AZL Giants Black	16	0	25	116	29	16	1	0%	1.6	25.0%	13.8%	11.2%	0.9%	5.40	3.22	—
2021	21	A MLE	San Jose Giants	32	0	62	258	101	23	0	0%	1.9	29.0%	10.5%	18.4%	0.0%	1.74	1.99	—
2021	21	A RAW	San Jose Giants	32	0	62	258	101	23	0	0%	1.9	39.1%	8.9%	30.2%	0.0%	1.74	0.95	—
2022	22	MIX MLE	3 levels	27	13	67	297	97	43	7	48%	2.5	25.3%	12.8%	12.5%	2.6%	4.46	4.00	—
2022	22	MIX RAW	3 levels	27	13	67	297	97	43	7	48%	2.5	32.7%	14.5%	18.2%	2.4%	4.46	3.49	—
2023	23	MIX MLE	3 levels	45	2	70	318	84	56	4	4%	1.6	21.6%	16.9%	4.6%	1.4%	4.37	4.22	—
2023	23	MIX MLE	3 levels	45	2	70	318	84	56	4	4%	1.6	21.6%	16.9%	4.6%	1.4%	4.37	4.22	—
2023	23	MIX RAW	3 levels	45	2	70	318	84	56	4	4%	1.6	26.4%	17.6%	8.8%	1.3%	4.37	3.84	—
2024	24	MIX MLE	2 levels	45	1	63	263	63	22	4	2%	1.4	24.0%	8.1%	15.8%	2.0%	3.86	3.18	+1.0
2024	24	MIX MLE	2 levels	45	1	63	263	63	22	4	2%	1.4	24.0%	8.1%	15.8%	2.0%	3.86	3.18	+1.0
2024	24	MIX RAW	2 levels	45	1	63	263	63	22	4	2%	1.4	24.0%	8.4%	15.6%	1.5%	3.86	2.97	+1.2
2025	25	MLB MLE	San Francisco Giants	50	0	51	198	67	11	4	0%	1.0	33.8%	5.6%	28.3%	2.2%	1.78	2.15	+1.5
2025	25	MLB MLE	San Francisco Giants	50	0	51	198	67	11	4	0%	1.0	33.8%	5.6%	28.3%	2.2%	1.78	2.15	+1.5
2025	25	MLB RAW	San Francisco Giants	50	0	51	198	67	11	4	0%	1.0	33.8%	5.6%	28.3%	2.0%	1.78	2.13	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			85	1	103	419	120	29	8	1%	1.2	28.6%	6.9%	21.7%	1.9%	3.06	2.62	+2.4
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	SF	—	—	0	—	—	—	—	—	—	31.1%	6.4%	24.7%	2.7%	3.11	3.13	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	SF	70	0	73	309	96	20	8	0%	1.0	31.1%	6.5%	24.6%	2.7%	3.15	3.17	+1.3
2028	28	MLB MLE	SF	68	0	71	299	93	20	8	0%	1.0	31.0%	6.6%	24.4%	2.8%	3.21	3.25	+1.1
2029	29	MLB MLE	SF	64	0	68	286	87	20	9	0%	1.1	30.4%	6.9%	23.5%	3.0%	3.33	3.41	+0.9
2030	30	MLB MLE	SF	61	0	64	269	80	19	9	0%	1.0	29.7%	7.2%	22.5%	3.2%	3.50	3.62	+0.7
2027	27	MLB CTX	SF	66	0	69	291	91	19	7	0%	1.0	31.1%	6.5%	24.6%	2.5%	3.04	3.06	+1.2
2028	28	MLB CTX	SF	64	0	67	283	88	19	7	0%	1.0	31.0%	6.6%	24.4%	2.6%	3.09	3.13	+1.1
2029	29	MLB CTX	SF	61	0	64	270	82	19	7	0%	1.0	30.4%	6.9%	23.5%	2.8%	3.21	3.29	+0.9
2030	30	MLB CTX	SF	57	0	60	253	75	18	7	0%	1.1	29.7%	7.2%	22.5%	2.9%	3.37	3.49	+0.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		334	1	365	1523	458	104	38	0%	1.1	30.1%	6.8%	23.2%	2.5%	3.14	2.79	+7.7
/ 200 IP	—	RAW		183	1	200	836	251	57	21	0%	1.1	30.1%	6.8%	23.2%	2.5%	3.14	2.79	+4.2
Career	—	MLE		225	18	365	1566	391	183	25	8%	1.6	25.0%	11.7%	13.3%	1.6%	3.55	3.33	+6.3
/ 200 IP	—	MLE		123	10	200	859	215	100	13	8%	1.6	25.0%	11.7%	13.3%	1.6%	3.55	3.33	+3.3

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
Randy Rodríguez (OGILVIE)	—	—	3.13	31.1%	6.4%	2.7%	—	3.27	30.9%	24.2%	212	+0.14	—	—	—
Kelvin Herrera R 2016 · 2.33 FIP	26	SU	2.33	30.4%	4.2%	2.3%	.285	4.02	21.7%	15.1%	155	+1.69	2.33	297	82
Ken Giles R 2017 · 2.25 FIP	26	SU	2.25	33.6%	8.5%	1.7%	.288	2.48	32.6%	27.1%	103	+0.23	1.96	368	81
Zach McAllister R 2015 · 2.82 FIP	27	SU	2.82	28.1%	6.4%	2.4%	.333	3.88	23.5%	16.0%	159	+1.06	2.82	363	76
Pedro Báez R 2015 · 2.29 FIP	27	SU	2.29	28.8%	4.8%	1.8%	.321	3.57	25.8%	17.2%	194	+1.28	2.29	332	76
Daniel Robert R 2021 · 2.32 FIP	26	SU	2.32	37.5%	4.9%	3.2%	.290	3.54	24.0%	12.8%	125	+1.22	2.32	186	74
Ben Heller R 2017 · 2.86 FIP	25	SU	2.86	32.4%	9.4%	2.4%	.243	—	—	—	—	—	2.49	246	74
Craig Kimbrel R 2015 · 2.48 FIP	27	SU	2.48	36.4%	8.8%	2.5%	.272	2.13	42.6%	32.3%	184	-0.35	0.94	601	74
Drew Storen R 2015 · 2.36 FIP	27	SU	2.36	29.4%	6.1%	1.8%	.287	3.78	20.3%	13.9%	106	+1.42	2.36	172	73
Trevor Brigden R 2022 · 3.50 FIP	26	SU	3.50	27.6%	4.2%	4.0%	.303	4.24	23.8%	13.8%	113	+0.74	3.50	196	73
Silvino Bracho R 2018 · 2.55 FIP	26	SU	2.55	29.0%	6.7%	1.9%	.355	4.60	25.5%	18.0%	50	+2.05	2.49	395	72
Sam Wolff R 2017 · 3.40 FIP	26	SU	3.40	26.6%	8.0%	2.8%	.291	2.98	24.1%	13.3%	63	-0.42	2.66	178	72
Trevor May R 2016 · 3.52 FIP	26	SU	3.52	32.1%	8.6%	3.7%	.308	3.57	28.1%	18.5%	117	+0.05	3.05	432	71
Brandon Maurer R 2016 · 3.08 FIP	26	SU	3.08	24.0%	6.0%	2.3%	.286	4.32	21.0%	11.4%	114	+1.24	3.08	234	71
Carlos Alvarado R 2016 · 2.68 FIP	26	SU	2.68	27.8%	0.0%	3.5%	.250	4.64	23.1%	10.5%	59	+1.96	2.68	102	71
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	70
Tucker Healy R 2016 · 2.82 FIP	26	SU	2.82	30.4%	10.5%	1.8%	.294	4.64	16.9%	5.8%	67	+1.82	2.82	174	70
Emilio Pagán R 2017 · 2.67 FIP	26	SU	2.67	27.3%	5.1%	2.2%	.248	4.09	29.8%	23.5%	154	+1.42	2.67	719	70
Shawn Tolleson R 2015 · 3.05 FIP	27	SU	3.05	25.5%	4.0%	2.9%	.284	4.76	17.3%	12.5%	36	+1.71	3.05	109	70
Dellin Betances R 2015 · 2.15 FIP	27	SU	2.15	39.5%	11.4%	1.7%	.248	2.02	41.0%	29.6%	199	-0.13	1.59	308	70
Luke Bard R 2017 · 2.87 FIP	26	SU	2.87	28.7%	8.0%	2.1%	.362	4.57	21.8%	13.9%	128	+1.70	2.87	388	70

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	69	30.7%	6.7%	1.11	3.25
Giovanny Gallegos ('24)	1.5	52	29.4%	6.6%	1.19	3.46
Sean Doolittle ('21)	1.2	49	28.7%	6.2%	1.18	3.31
Seunghwan Oh ('18)	1.0	69	27.7%	5.9%	1.00	2.78
Diego Castillo ('22)	1.3	52	28.1%	8.9%	1.07	3.12
Chris Devenski ('24)	1.9	62	26.0%	6.9%	1.25	3.61
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36