Thomas Higgins

P Inland Empire 66ers

Age 24 RHP 6'1" / 200 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	23	ASEA	15	25	6.12	3.54	24.6%	8.5%	—	K 18.2% · BB 10.0% · FIP 4.65
2027PROJ	24	MLBSEA	14	15	4.61	4.61	20.9%	9.8%	-0.0
2028PROJ43% MLB	25	MLBSEA	10	10	4.53	4.50	21.5%	9.4%	0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsRicardo Velez (age 24) · Vince Vannelle (age 24) · Colby Morris (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.61

FIP4.61

K%20.9%

BB%9.8%

K-BB%11.1%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 IP

Grades · Contract

Scouting Grades

K†5050

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)
2026	23	A MLE	Inland Empire 66ers	15	0	25	118	29	10	3	0%	1.7	18.2%	10.0%	8.2%	3.3%	6.12	4.65	—
2026	23	A MLE	Inland Empire 66ers	15	0	25	118	29	10	3	0%	1.7	18.2%	10.0%	8.2%	3.3%	6.12	4.65	—
2026	23	A RAW	Inland Empire 66ers	15	0	25	118	29	10	3	0%	1.7	24.6%	8.5%	16.1%	2.5%	6.12	3.54	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	SEA	14	0	15	63	13	6	2	0%	1.1	20.9%	9.8%	11.1%	3.0%	4.61	4.61	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	SEA	22	0	23	96	21	9	3	0%	1.0	21.5%	9.4%	12.1%	3.0%	4.53	4.50	+0.0
2028	25	MLB CTX	SEA	10	0	10	42	9	4	1	0%	1.0	21.5%	9.4%	12.1%	3.0%	4.53	4.50	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	41	9	4	1	0%	1.1	21.5%	9.4%	12.1%	3.0%	4.53	4.12	+0.0
/ 200 IP	—	RAW		190	0	200	844	185	82	21	0%	1.1	21.5%	9.4%	12.1%	3.0%	4.53	4.12	+1.0
Career	—	MLE		15	0	25	118	21	12	4	0%	1.7	18.2%	10.0%	8.2%	3.3%	6.12	4.65	+0.0
/ 200 IP	—	MLE		120	0	200	944	172	94	31	0%	1.7	18.2%	10.0%	8.2%	3.3%	6.12	4.65	+0.1

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
Thomas Higgins (OGILVIE)	—	—	4.61	20.9%	9.8%	3.0%	—	4.50	21.5%	12.1%	23	-0.11	—	—	—
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	91
Vince Vannelle R 2022 · 3.71 FIP	24	SU	3.71	19.9%	8.6%	2.2%	.282	5.30	15.3%	4.5%	76	+1.59	3.71	105	88
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	87
Kyle Martin R 2015 · 3.61 FIP	24	SU	3.61	21.2%	9.6%	2.0%	.345	3.51	22.4%	12.5%	172	-0.10	3.01	214	86
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	86
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	86
Josh Advocate R 2018 · 3.78 FIP	24	SU	3.78	18.8%	7.3%	2.4%	.291	3.71	20.4%	10.1%	75	-0.07	3.71	118	86
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	86
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	86
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	86
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	86
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	86
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	86
Luis Vizcaino R 2000 · 4.11 FIP	25	SU	4.11	18.8%	11.5%	2.1%	.354	4.31	22.7%	14.9%	180	+0.20	3.07	564	85
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	84
Kyle Whitten R 2023 · 4.35 FIP	24	SU	4.35	18.0%	9.5%	2.9%	.296	5.14	18.0%	8.1%	37	+0.79	4.32	152	84
Danny Hrbek R 2019 · 3.98 FIP	24	SU	3.98	21.3%	7.5%	3.1%	.312	—	—	—	—	—	3.98	100	84
Alex Palsha R 2016 · 3.84 FIP	24	SU	3.84	20.6%	10.4%	2.1%	.288	3.83	15.3%	4.4%	77	-0.01	3.40	134	84
José Cisnero R 2013 · 3.86 FIP	24	SU	3.86	20.7%	8.6%	2.6%	.326	4.50	26.1%	14.4%	12	+0.64	2.26	322	84
Austin Smith R 2022 · 3.88 FIP	23	SU	3.88	22.7%	10.0%	2.6%	.274	5.15	16.3%	0.7%	52	+1.27	3.88	148	84