Sam Highfill

P Jersey Shore BlueClaws

Age 26 RHP 6'3" / 204 lbs A+ peak 0.4 · 2028

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	APHI	3	1	7	6.43	2.39	27.8%	13.9%	—	K 27.8% · BB 13.9% · FIP 2.51
2025	24	MIX2 levels	24	22	106	4.50	3.91	20.1%	7.3%	—	K 15.0% · BB 8.6% · FIP 4.81
2026	25	A+PHI	26	9	74	6.57	4.56	24.6%	10.4%	—	K 18.9% · BB 11.9% · FIP 5.65
2027PROJ	26	MLBPHI	11	11	70	5.37	5.37	15.9%	10.9%	-0.4
2028PROJ37% MLB	27	MLBPHI	5	5	34	5.28	5.29	16.5%	10.7%	-0.1
2029PROJ59% MLB	28	MLBPHI	9	9	54	5.26	5.30	16.8%	10.6%	-0.2

Next 3 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control50Command45

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

CompsNolan Sanburn (age 26) · Mike Connolly (age 26) · David Griffin (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.37

FIP5.37

K%15.9%

BB%10.9%

K-BB%5.0%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5050

CMD4545

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)
2024	23	A MLE	Clearwater Threshers	3	1	7	36	10	5	0	33%	2.3	27.8%	13.9%	13.9%	0.0%	6.43	2.51	—
2024	23	A MLE	Clearwater Threshers	3	1	7	36	10	5	0	33%	2.3	27.8%	13.9%	13.9%	0.0%	6.43	2.51	—
2024	23	A RAW	Clearwater Threshers	3	1	7	36	10	5	0	33%	2.3	27.8%	13.9%	13.9%	0.0%	6.43	2.39	—
2025	24	MIX MLE	2 levels	24	22	106	452	91	33	13	92%	4.4	15.0%	8.6%	6.5%	3.5%	4.50	4.81	—
2025	24	MIX MLE	2 levels	24	22	106	452	91	33	13	92%	4.4	15.0%	8.6%	6.5%	3.5%	4.50	4.81	—
2025	24	MIX RAW	2 levels	24	22	106	452	91	33	13	92%	4.4	20.1%	7.3%	12.8%	2.9%	4.50	3.91	—
2026	25	A+ MLE	Jersey Shore BlueClaws	26	9	74	338	83	35	13	35%	2.8	18.9%	11.9%	7.0%	4.8%	6.57	5.65	—
2026	25	A+ MLE	Jersey Shore BlueClaws	26	9	74	338	83	35	13	35%	2.8	18.9%	11.9%	7.0%	4.8%	6.57	5.65	—
2026	25	A+ RAW	Jersey Shore BlueClaws	26	9	74	338	83	35	13	35%	2.8	24.6%	10.4%	14.2%	3.8%	6.57	4.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	PHI	11	11	70	296	47	32	10	100%	6.4	15.9%	10.9%	5.0%	3.4%	5.37	5.37	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	PHI	15	15	94	397	66	42	13	100%	6.3	16.5%	10.7%	5.8%	3.4%	5.28	5.29	-0.4
2029	28	MLB MLE	PHI	15	15	91	385	65	41	13	100%	6.1	16.8%	10.6%	6.2%	3.5%	5.26	5.30	-0.4
2030	29	MLB MLE	PHI	14	14	87	368	62	39	13	100%	6.2	16.8%	10.7%	6.1%	3.6%	5.31	5.38	-0.5
2031	30	MLB MLE	PHI	13	13	82	346	57	38	13	100%	6.3	16.6%	10.9%	5.7%	3.8%	5.43	5.52	-0.6
2028	27	MLB CTX	PHI	5	5	34	144	24	15	5	100%	6.8	16.5%	10.7%	5.8%	3.4%	5.28	5.29	-0.1
2029	28	MLB CTX	PHI	9	9	54	228	38	24	8	100%	6.0	16.8%	10.6%	6.2%	3.5%	5.26	5.30	-0.2
2030	29	MLB CTX	PHI	10	10	61	258	43	27	9	100%	6.1	16.8%	10.7%	6.1%	3.6%	5.31	5.38	-0.3
2031	30	MLB CTX	PHI	10	10	64	270	45	29	10	100%	6.4	16.6%	10.9%	5.7%	3.8%	5.43	5.52	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		34	34	213	901	150	97	32	100%	6.3	16.7%	10.7%	6.0%	3.6%	5.33	5.01	-0.3
/ 200 IP	—	RAW		32	32	200	844	141	91	30	100%	6.3	16.7%	10.7%	6.0%	3.6%	5.33	5.01	-0.2
Career	—	MLE		53	32	187	826	142	84	32	60%	3.5	17.2%	10.2%	7.0%	3.9%	5.39	5.05	-1.9
/ 200 IP	—	MLE		57	34	200	883	152	90	34	60%	3.5	17.2%	10.2%	7.0%	3.9%	5.39	5.05	-1.1

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
Sam Highfill (OGILVIE)	—	—	5.37	15.9%	10.9%	3.4%	—	5.32	16.7%	6.1%	272	-0.05	—	—	—
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	85
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	84
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.83	14.2%	5.0%	81	+1.12	4.43	239	84
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	84
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	84
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	83
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	82
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	82
André Rienzo R 2014 · 5.13 FIP	26	SP-	5.13	16.3%	10.6%	3.8%	.324	4.13	17.5%	4.8%	171	-1.00	3.53	321	82
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	82
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	82
Bryce Conley R 2021 · 4.31 FIP	26	SW	4.31	17.9%	12.2%	2.2%	.285	4.22	16.4%	5.3%	48	-0.09	4.22	560	81
Nick Pasquale R 2017 · 4.74 FIP	26	SP-	4.74	16.8%	12.7%	2.6%	.306	3.80	17.9%	6.3%	50	-0.94	3.19	308	81
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	80
Denny Bautista R 2006 · 4.71 FIP	25	SP-	4.71	13.9%	10.8%	2.6%	.298	4.58	17.5%	3.3%	74	-0.13	3.38	238	79
Grant Judkins R 2024 · 5.13 FIP	26	SW	5.13	16.8%	9.1%	4.2%	.264	5.80	14.9%	5.8%	124	+0.67	5.13	322	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	78
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	78
Matthew Shepherd R 2015 · 4.98 FIP	25	SP-	4.98	13.7%	9.5%	3.3%	.390	—	—	—	—	—	4.98	116	78
D.J. Houlton R 2005 · 4.85 FIP	25	SP-	4.85	15.6%	8.5%	3.6%	.297	4.74	18.6%	12.4%	28	-0.11	4.74	157	78

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	2.1	85	16.6%	10.7%	1.36	5.33
Les Webber ('42-'48, -1 WAR*)	2.2	86	17.0%*	10.4%*	1.30*	5.13*
Victor Santos ('07)	3.0	86	15.6%	10.2%	1.29	5.21
Brandon Backe ('09)	2.6	88	15.4%	10.2%	1.49	5.23
Matt Kinney ('05)	1.9	97	16.8%	9.9%	1.39	5.29
Galen Cisco ('61-'69, -2 WAR*)	3.3	94	14.7%*	10.4%*	1.22*	5.30*
Bob McGraw ('17-'29, -2 WAR*)	3.0	99	16.8%*	11.0%*	1.21*	5.01*