Cody Delvecchio

P San Jose Giants

Age 23 RHP 5'9" / 190 lbs A Svc 0.0 · Ctrl thru 2037 peak 0.4 · 2028

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1131ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	22	ASF	9	9	34	4.28	3.16	30.5%	8.5%	—	K 22.6% · BB 10.0% · FIP 4.49
2027PROJ	23	MLBSF	—	—	0	4.43	4.43	23.4%	9.8%	—
2028PROJ43% MLB	24	MLBSF	4	4	22	4.22	4.17	24.0%	9.3%	0.3
2029PROJ66% MLB	25	MLBSF	6	6	33	4.15	4.10	24.3%	9.0%	0.5

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Career WAR0.0 WAR median (P10 -0.1 / P90 3.7, comp-based) · star 3% · didn't stick 87%

CompsRyan Garcia (age 24) · Cody Laweryson (age 23) · Chad Patrick (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.43

FIP4.43

K%23.4%

BB%9.8%

K-BB%13.6%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2026	22	A MLE	San Jose Giants	9	9	34	141	43	12	4	100%	3.7	22.6%	10.0%	12.5%	3.7%	4.28	4.49	—
2026	22	A MLE	San Jose Giants	9	9	34	141	43	12	4	100%	3.7	22.6%	10.0%	12.5%	3.7%	4.28	4.49	—
2026	22	A RAW	San Jose Giants	9	9	34	141	43	12	4	100%	3.7	30.5%	8.5%	22.0%	2.8%	4.28	3.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SF	—	—	0	—	—	—	—	—	—	23.4%	9.8%	13.6%	3.1%	4.43	4.43	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SF	9	9	52	221	53	21	7	100%	5.8	24.0%	9.3%	14.6%	3.0%	4.34	4.29	+0.7
2029	25	MLB MLE	SF	9	9	50	211	51	19	6	100%	5.5	24.3%	9.0%	15.3%	3.0%	4.27	4.22	+0.7
2030	26	MLB MLE	SF	8	8	50	211	52	19	6	100%	6.2	24.4%	9.0%	15.4%	3.0%	4.23	4.20	+0.7
2031	27	MLB MLE	SF	8	8	49	206	50	19	6	100%	6.1	24.4%	9.1%	15.3%	3.0%	4.24	4.24	+0.7
2028	24	MLB CTX	SF	4	4	22	93	22	9	3	100%	5.5	24.0%	9.3%	14.6%	2.8%	4.22	4.17	+0.3
2029	25	MLB CTX	SF	6	6	33	139	34	13	4	100%	5.5	24.3%	9.0%	15.3%	2.8%	4.15	4.10	+0.5
2030	26	MLB CTX	SF	7	7	40	169	41	15	5	100%	5.7	24.4%	9.0%	15.4%	2.8%	4.11	4.08	+0.6
2031	27	MLB CTX	SF	7	7	42	177	43	16	5	100%	6.0	24.4%	9.1%	15.3%	2.8%	4.11	4.11	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		23	23	137	577	140	52	16	100%	5.9	24.3%	9.1%	15.2%	2.8%	4.14	3.73	+2.8
/ 200 IP	—	RAW		34	34	200	844	205	76	23	100%	5.9	24.3%	9.1%	15.2%	2.8%	4.14	3.73	+4.0
Career	—	MLE		9	9	34	141	32	14	5	100%	3.7	22.6%	10.0%	12.5%	3.7%	4.28	4.49	+2.8
/ 200 IP	—	MLE		53	53	200	838	189	84	31	100%	3.7	22.6%	10.0%	12.5%	3.7%	4.28	4.49	+2.7

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 ASan Jose Giants · 34 IPFIP 3.16 → 4.49 (+1.33)K% 30.5% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.50%	—	×0.740	22.57%
BB% (unintentional) /BF	8.51%	—	×1.180	10.04%
HR / BF /BF	2.84%	÷1.000	×1.300	3.69%

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 3.16 → 4.49, 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
Cody Delvecchio (OGILVIE)	—	—	—	—	—	3.1%	—	4.24	24.2%	15.1%	152	-0.19	—	—	—
Ryan Garcia R 2022 · 3.74 FIP	24	SP	3.74	23.2%	10.7%	2.3%	.239	5.53	19.8%	6.6%	278	+1.79	3.74	362	89
Cody Laweryson R 2021 · 4.06 FIP	23	SP	4.06	21.7%	8.4%	3.1%	.329	3.48	21.4%	12.8%	178	-0.58	2.48	298	88
Chad Patrick R 2022 · 3.86 FIP	23	SP	3.86	20.3%	9.9%	2.2%	.315	4.19	22.1%	14.2%	422	+0.33	3.69	570	86
Brody McCullough R 2023 · 3.58 FIP	23	SP	3.58	23.1%	10.3%	2.1%	.267	4.45	21.3%	11.7%	42	+0.87	3.58	129	86
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	85
Jared Karros R 2024 · 3.36 FIP	23	SP	3.36	21.9%	9.2%	1.7%	.281	7.71	12.4%	2.7%	52	+4.35	3.36	191	84
Dylan DeLucia R 2024 · 3.88 FIP	23	SP	3.88	21.6%	7.4%	3.0%	.241	5.29	18.0%	7.2%	197	+1.41	3.88	232	84
Ryan Jensen R 2021 · 4.86 FIP	23	SP	4.86	21.4%	10.8%	4.0%	.236	4.48	22.0%	5.1%	180	-0.38	3.92	311	84
CJ Van Eyk R 2021 · 4.79 FIP	22	SP	4.79	21.8%	12.7%	3.5%	.302	4.64	15.2%	5.3%	127	-0.15	4.18	457	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	81
Blake Wehunt R 2024 · 3.65 FIP	23	SP	3.65	21.8%	10.4%	1.9%	.261	4.30	21.0%	11.4%	164	+0.65	3.65	256	81
Chase Solesky R 2021 · 5.15 FIP	23	SP	5.15	21.3%	9.2%	4.9%	.362	4.76	13.6%	5.4%	311	-0.39	4.07	567	81
Jaxon Wiggins R 2024 · 3.53 FIP	22	SP	3.53	22.5%	12.8%	1.3%	.286	3.71	23.6%	9.6%	102	+0.18	3.11	154	81
Pat Gallagher R 2023 · 3.83 FIP	23	SP-	3.83	21.9%	8.3%	2.8%	.284	3.42	20.6%	11.4%	217	-0.41	3.07	280	81
David Festa R 2023 · 3.68 FIP	23	SP	3.68	24.5%	11.2%	2.2%	.341	3.71	27.2%	19.1%	209	+0.03	3.67	405	80
River Ryan R 2022 · 3.69 FIP	23	SP	3.69	26.1%	12.2%	2.3%	.321	3.88	20.3%	9.2%	134	+0.19	2.44	223	80
Cody Morris R 2019 · 3.73 FIP	22	SP	3.73	21.6%	8.1%	2.6%	.362	2.85	31.1%	20.9%	96	-0.88	2.23	256	80
TJ Shook R 2021 · 4.90 FIP	23	SP	4.90	21.7%	13.8%	3.4%	.311	4.98	20.7%	10.3%	296	+0.08	3.35	452	80
Marcelo Perez R 2023 · 3.84 FIP	23	SP	3.84	18.0%	8.6%	2.1%	.288	4.99	14.7%	7.3%	238	+1.15	3.84	306	80
Levi Wells R 2024 · 4.35 FIP	22	SP	4.35	20.0%	12.1%	2.6%	.360	3.82	19.0%	10.2%	132	-0.53	3.70	192	79

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	1.3	51	24.1%	9.3%	1.17	4.30
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*