Shane Rademacher

P Richmond Flying Squirrels

Age 26 RHP 6'2" / 249 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	ASF	26	7	85	4.89	3.87	27.1%	7.7%	—	K 20.1% · BB 9.1% · FIP 5.33
2025	24	MIX2 levels	28	21	127	3.69	4.88	16.0%	6.0%	—	K 12.4% · BB 6.7% · FIP 5.73
2026	25	AASF	31	2	63	4.69	5.23	19.4%	8.8%	—	K 15.7% · BB 9.7% · FIP 6.13
2027PROJ	26	MLBSF	67	0	70	5.60	5.60	13.0%	8.1%	-0.8
2028PROJ38% MLB	27	MLBSF	40	0	42	5.49	5.50	13.9%	8.1%	-0.4
2029PROJ60% MLB	28	MLBSF	62	0	65	5.45	5.49	14.4%	8.2%	-0.7

Next 3 projected WAR -1.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control65Command45

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsJosh Roeder (age 26) · Jorge Reyes (age 27) · Donovan Hand (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140131vR 123

ERA5.60

FIP5.60

K%13.0%

BB%8.1%

K-BB%4.9%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL6565

CMD4545

K†3030

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)
2023	22	ROK MLE	ACL Giants Orange	2	1	4	15	5	1	0	50%	2.0	33.3%	6.7%	26.7%	0.0%	2.25	1.13	—
2023	22	ROK RAW	ACL Giants Orange	2	1	4	15	5	1	0	50%	2.0	33.3%	6.7%	26.7%	0.0%	2.25	1.35	—
2024	23	A MLE	San Jose Giants	26	7	85	376	102	29	14	27%	3.3	20.1%	9.1%	11.0%	5.1%	4.89	5.33	—
2024	23	A MLE	San Jose Giants	26	7	85	376	102	29	14	27%	3.3	20.1%	9.1%	11.0%	5.1%	4.89	5.33	—
2024	23	A RAW	San Jose Giants	26	7	85	376	102	29	14	27%	3.3	27.1%	7.7%	19.4%	3.7%	4.89	3.87	—
2025	24	MIX MLE	2 levels	28	21	127	518	83	31	23	75%	4.5	12.4%	6.7%	5.7%	5.2%	3.69	5.73	—
2025	24	MIX MLE	2 levels	28	21	127	518	83	31	23	75%	4.5	12.4%	6.7%	5.7%	5.2%	3.69	5.73	—
2025	24	MIX RAW	2 levels	28	21	127	518	83	31	23	75%	4.5	16.0%	6.0%	10.0%	4.4%	3.69	4.88	—
2026	25	AA MLE	Richmond Flying Squirrels	31	2	63	273	53	24	13	6%	2.0	15.7%	9.7%	6.1%	5.7%	4.69	6.13	—
2026	25	AA MLE	Richmond Flying Squirrels	31	2	63	273	53	24	13	6%	2.0	15.7%	9.7%	6.1%	5.7%	4.69	6.13	—
2026	25	AA RAW	Richmond Flying Squirrels	31	2	63	273	53	24	13	6%	2.0	19.4%	8.8%	10.6%	4.8%	4.69	5.23	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SF	67	0	70	296	38	24	12	0%	1.0	13.0%	8.1%	4.9%	4.0%	5.60	5.60	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SF	107	0	112	474	66	38	19	0%	1.0	13.9%	8.1%	5.8%	3.9%	5.49	5.50	-1.2
2029	28	MLB MLE	SF	104	0	109	460	66	38	18	0%	1.0	14.4%	8.2%	6.2%	4.0%	5.45	5.49	-1.1
2030	29	MLB MLE	SF	99	0	104	439	64	37	18	0%	1.1	14.5%	8.4%	6.1%	4.1%	5.49	5.56	-1.2
2031	30	MLB MLE	SF	93	0	98	413	59	36	18	0%	1.1	14.3%	8.7%	5.6%	4.3%	5.61	5.70	-1.2
2028	27	MLB CTX	SF	40	0	42	177	25	14	7	0%	1.1	13.9%	8.1%	5.8%	3.9%	5.49	5.50	-0.4
2029	28	MLB CTX	SF	62	0	65	274	39	23	11	0%	1.0	14.4%	8.2%	6.2%	4.0%	5.45	5.49	-0.7
2030	29	MLB CTX	SF	70	0	74	312	45	26	13	0%	1.1	14.5%	8.4%	6.1%	4.1%	5.49	5.56	-0.8
2031	30	MLB CTX	SF	73	0	77	325	47	28	14	0%	1.1	14.3%	8.7%	5.6%	4.3%	5.61	5.70	-1.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		245	0	257	1086	156	91	44	0%	1.0	14.3%	8.4%	5.9%	4.1%	5.52	5.20	-1.9
/ 200 IP	—	RAW		190	0	200	844	121	71	34	0%	1.1	14.3%	8.4%	5.9%	4.1%	5.52	5.20	-1.5
Career	—	MLE		87	31	279	1182	188	96	61	36%	3.2	15.9%	8.2%	7.7%	5.2%	4.26	5.64	-4.8
/ 200 IP	—	MLE		62	22	200	848	135	69	44	36%	3.2	15.9%	8.2%	7.7%	5.2%	4.26	5.64	-2.3

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
Shane Rademacher (OGILVIE)	—	—	5.60	13.0%	8.1%	4.0%	—	5.52	14.2%	6.0%	325	-0.08	—	—	—
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	87
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	86
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	86
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	83
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	82
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	81
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	81
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	80
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	80
Drasen Johnson R 2016 · 4.70 FIP	24	SW	4.70	9.6%	5.7%	3.1%	.325	—	—	—	—	—	4.70	110	80
Ranfi Casimiro R 2018 · 4.62 FIP	26	SW	4.62	16.4%	10.7%	2.8%	.285	4.93	8.4%	-0.2%	16	+0.31	3.81	420	79
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	79
Dominic DeMasi R 2018 · 5.07 FIP	25	SW	5.07	13.0%	6.9%	4.0%	.324	—	—	—	—	—	3.84	275	79
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	78
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	78
Logan Verrett R 2016 · 5.19 FIP	26	SW	5.19	15.4%	10.6%	3.7%	.283	4.65	17.8%	11.8%	94	-0.54	3.81	550	78
Felipe Gonzalez R 2017 · 4.60 FIP	25	SW	4.60	18.3%	9.2%	3.4%	.337	3.27	22.7%	12.7%	50	-1.33	3.27	339	78
Wilton Lopez R 2009 · 5.62 FIP	26	SW	5.62	9.3%	8.2%	4.1%	.368	2.79	19.5%	16.6%	204	-2.83	2.51	299	77
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	77
Matt Roney R 2003 · 5.54 FIP	23	SW	5.54	10.5%	9.8%	3.8%	.249	—	—	—	—	—	5.54	101	77

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	2.5	99	14.1%	8.3%	1.57	5.52
Hector Noesí ('19)	2.1	70	16.4%	8.7%	1.53	5.51
Jason Simontacchi ('07)	1.8	119	12.3%	8.1%	1.44	5.09
Mike Brown ('82-'87, -2 WAR*)	1.3	85	14.3%*	8.8%*	1.41*	5.73*
Doug Waechter ('09)	1.9	77	13.3%	7.6%	1.59	5.34
Mark Bomback ('78-'82, 0 WAR*)	1.6	105	13.7%*	8.1%*	1.45*	4.95*
Euel Moore ('34-'36, 0 WAR*)	1.1	75	16.0%*	8.8%*	1.39*	5.07*