Eric Loomis

P Frisco RoughRiders

Age 25 RHP 6'0" / 195 lbs AA

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ADown East Woo…	2	3	3.00	3.10	37.5%	25.0%	—	K 37.5% · BB 25.0% · FIP 3.10
2025	23	MIX3 levels	39	52	2.77	1.81	38.2%	11.4%	—	K 30.9% · BB 13.4% · FIP 2.19
2026	24	AATEX	40	41	5.01	3.46	35.4%	14.4%	—	K 28.6% · BB 15.8% · FIP 4.50
2027PROJ	25	MLBTEX	22	23	4.52	4.52	28.0%	14.2%	0.0
2028PROJ44% MLB	26	MLBTEX	20	21	4.49	4.48	27.7%	13.7%	0.0
2029PROJ63% MLB	27	MLBTEX	28	29	4.49	4.50	27.4%	13.4%	0.0

Next 3 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 1, comp-based) · star 0% · didn't stick 95%

CompsBrad Boxberger (age 25) · Zac Leigh (age 25) · Eric Reyzelman (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.52

FIP4.52

K%28.0%

BB%14.2%

K-BB%13.8%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Contract

Scouting Grades

K†6565

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	22	A MLE	Down East Wood Ducks	2	0	3	16	6	4	0	0%	1.5	37.5%	25.0%	12.5%	0.0%	3.00	3.10	—
2024	22	A MLE	Down East Wood Ducks	2	0	3	16	6	4	0	0%	1.5	37.5%	25.0%	12.5%	0.0%	3.00	3.10	—
2024	22	A RAW	Down East Wood Ducks	2	0	3	16	6	4	0	0%	1.5	37.5%	25.0%	12.5%	0.0%	3.00	3.10	—
2025	23	MIX MLE	3 levels	39	0	52	220	84	25	2	0%	1.3	30.9%	13.4%	17.5%	0.0%	2.77	2.19	—
2025	23	MIX MLE	3 levels	39	0	52	220	84	25	2	0%	1.3	30.9%	13.4%	17.5%	0.0%	2.77	2.19	—
2025	23	MIX RAW	3 levels	39	0	52	220	84	25	2	0%	1.3	38.2%	11.4%	26.8%	0.9%	2.77	1.81	—
2026	24	AA MLE	Frisco RoughRiders	40	0	41	181	64	26	5	0%	1.0	28.6%	15.8%	12.8%	3.3%	5.01	4.50	—
2026	24	AA MLE	Frisco RoughRiders	40	0	41	181	64	26	5	0%	1.0	28.6%	15.8%	12.8%	3.3%	5.01	4.50	—
2026	24	AA RAW	Frisco RoughRiders	40	0	41	181	64	26	5	0%	1.0	35.4%	14.4%	21.0%	2.8%	5.01	3.46	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	TEX	22	0	23	97	27	14	3	0%	1.0	28.0%	14.2%	13.8%	2.9%	4.52	4.52	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	TEX	45	0	47	198	55	27	6	0%	1.0	27.7%	13.7%	14.1%	2.9%	4.49	4.48	+0.0
2029	27	MLB MLE	TEX	44	0	46	195	53	26	6	0%	1.0	27.4%	13.4%	14.0%	3.0%	4.49	4.50	+0.0
2030	28	MLB MLE	TEX	43	0	45	189	51	25	6	0%	1.0	27.1%	13.3%	13.7%	3.1%	4.54	4.58	-0.0
2028	26	MLB CTX	TEX	20	0	21	89	25	12	3	0%	1.1	27.7%	13.7%	14.1%	2.9%	4.49	4.48	+0.0
2029	27	MLB CTX	TEX	28	0	29	122	34	16	4	0%	1.0	27.4%	13.4%	14.0%	3.0%	4.49	4.50	+0.0
2030	28	MLB CTX	TEX	32	0	34	144	39	19	4	0%	1.1	27.1%	13.3%	13.7%	3.1%	4.54	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		80	0	84	353	96	47	11	0%	1.0	27.3%	13.4%	13.9%	3.0%	4.51	4.15	+0.4
/ 200 IP	—	RAW		190	0	200	844	230	113	26	0%	1.1	27.3%	13.4%	13.9%	3.0%	4.51	4.15	+1.0
Career	—	MLE		81	0	96	417	126	62	6	0%	1.2	30.2%	14.9%	15.3%	1.4%	3.74	3.23	+0.0
/ 200 IP	—	MLE		168	0	200	866	261	129	12	0%	1.2	30.2%	14.9%	15.3%	1.4%	3.74	3.23	+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
Eric Loomis (OGILVIE)	—	—	4.52	28.0%	14.2%	2.9%	—	4.52	27.4%	13.9%	138	-0.00	—	—	—
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	89
Zac Leigh R 2023 · 3.84 FIP	25	SU	3.84	28.1%	11.7%	3.0%	.282	4.56	20.2%	4.0%	131	+0.72	3.70	201	88
Eric Reyzelman R 2024 · 3.81 FIP	23	SU	3.81	30.3%	15.6%	2.4%	.261	4.78	24.5%	8.6%	94	+0.97	3.81	117	87
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	87
Conor Grammes R 2022 · 4.64 FIP	25	SU	4.64	28.6%	16.8%	3.3%	.293	4.52	20.8%	1.1%	128	-0.12	4.11	171	86
Michael Wuertz R 2004 · 4.46 FIP	25	SU	4.46	24.2%	12.9%	3.2%	.243	3.39	26.1%	16.6%	189	-1.07	2.27	414	86
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	86
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	85
Austin Adams R 2016 · 3.40 FIP	25	SU	3.40	28.4%	15.2%	1.4%	.310	2.25	34.4%	23.1%	152	-1.15	1.79	392	84
Eduard Santos R 2015 · 3.51 FIP	25	SU	3.51	28.1%	15.2%	1.6%	.265	3.49	24.0%	10.0%	79	-0.02	2.04	138	84
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	84
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	83
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	83
Brooks Kriske R 2019 · 3.47 FIP	25	SU	3.47	26.1%	12.2%	1.9%	.245	4.95	28.6%	16.5%	41	+1.48	3.09	246	83
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	83
Maikel Cleto R 2014 · 4.24 FIP	25	SU	4.24	23.2%	15.2%	2.1%	.256	3.45	25.4%	14.5%	106	-0.79	2.59	185	83
Logan Boyer R 2024 · 3.71 FIP	26	SU	3.71	25.0%	12.3%	2.1%	.267	4.65	17.5%	3.5%	54	+0.94	3.71	121	82
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	82
Lucas Wepf R 2024 · 3.80 FIP	24	SU	3.80	27.4%	10.9%	3.0%	.304	4.09	25.4%	11.8%	80	+0.29	2.90	195	82
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.8	40	27.5%	13.6%	1.16	4.51
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Rex Brothers ('21)	1.6	54	27.6%	13.5%	0.98	4.08
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Marshall Bridges ('59-'65, 2 WAR*)	1.7	49	26.7%*	12.3%*	0.88*	4.15*