Brett Gillis

P Corpus Christi Hooks

Age 27 RHP 6'2" / 215 lbs AA peak 0.3 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	25	A+HOU	12	6	47	2.70	2.95	26.4%	7.6%	—	K 20.3% · BB 8.8% · FIP 3.57
2026	26	AAHOU	19	17	89	3.64	4.35	19.9%	8.1%	—	K 16.2% · BB 8.9% · FIP 5.17
2027PROJ	27	MLBHOU	12	12	70	5.03	5.03	16.5%	8.9%	-0.1
2028PROJ38% MLB	28	MLBHOU	4	4	26	5.01	5.04	17.1%	9.1%	-0.0
2029PROJ56% MLB	29	MLBHOU	6	6	36	5.05	5.12	17.3%	9.3%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command50

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsBryce Morrow (age 27) · Nick Payero (age 24) · Clay Condrey (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 112

ERA5.03

FIP5.03

K%16.5%

BB%8.9%

K-BB%7.6%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4040

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)
2022	22	MIX MLE	2 levels	4	1	5	22	10	4	0	25%	1.3	45.5%	18.2%	27.3%	0.0%	1.69	1.56	—
2022	22	MIX RAW	2 levels	4	1	5	22	10	4	0	25%	1.3	45.5%	18.2%	27.3%	0.0%	1.69	1.60	—
2023	23	A MLE	Fayetteville Woodpeckers	1	0	2	7	3	0	0	0%	2.0	42.9%	0.0%	42.9%	0.0%	0.00	-0.52	—
2023	23	A RAW	Fayetteville Woodpeckers	1	0	2	7	3	0	0	0%	2.0	42.9%	0.0%	42.9%	0.0%	0.00	0.10	—
2025	25	A+ MLE	Asheville Tourists	12	6	47	197	52	15	4	50%	3.9	20.3%	8.8%	11.6%	2.0%	2.70	3.57	—
2025	25	A+ MLE	Asheville Tourists	12	6	47	197	52	15	4	50%	3.9	20.3%	8.8%	11.6%	2.0%	2.70	3.57	—
2025	25	A+ RAW	Asheville Tourists	12	6	47	197	52	15	4	50%	3.9	26.4%	7.6%	18.8%	2.0%	2.70	2.95	—
2026	26	AA MLE	Corpus Christi Hooks	19	17	89	371	74	30	13	89%	4.7	16.2%	8.9%	7.3%	4.2%	3.64	5.17	—
2026	26	AA MLE	Corpus Christi Hooks	19	17	89	371	74	30	13	89%	4.7	16.2%	8.9%	7.3%	4.2%	3.64	5.17	—
2026	26	AA RAW	Corpus Christi Hooks	19	17	89	371	74	30	13	89%	4.7	19.9%	8.1%	11.9%	3.5%	3.64	4.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	HOU	12	12	70	296	49	26	10	100%	5.8	16.5%	8.9%	7.6%	3.3%	5.03	5.03	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	HOU	11	11	68	287	49	26	10	100%	6.2	17.1%	9.1%	8.0%	3.4%	5.01	5.04	-0.1
2029	29	MLB MLE	HOU	11	11	65	274	47	25	10	100%	5.9	17.3%	9.3%	8.0%	3.5%	5.05	5.12	-0.2
2028	28	MLB CTX	HOU	4	4	26	110	19	10	4	100%	6.5	17.1%	9.1%	8.0%	3.4%	5.01	5.04	-0.0
2029	29	MLB CTX	HOU	6	6	36	152	26	14	5	100%	6.0	17.3%	9.3%	8.0%	3.5%	5.05	5.12	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	10	62	260	45	24	9	100%	6.2	17.2%	9.2%	8.0%	3.5%	5.03	4.71	+0.1
/ 200 IP	—	RAW		33	33	200	844	146	78	29	100%	6.0	17.2%	9.2%	8.0%	3.5%	5.03	4.71	+0.4
Career	—	MLE		36	24	143	597	113	54	19	67%	4.0	18.9%	9.1%	9.8%	3.3%	3.21	4.44	-0.3
/ 200 IP	—	MLE		50	34	200	835	158	76	27	67%	4.0	18.9%	9.1%	9.8%	3.3%	3.21	4.44	-0.4

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
Brett Gillis (OGILVIE)	—	—	5.03	16.5%	8.9%	3.3%	—	5.08	17.2%	8.0%	133	+0.05	—	—	—
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	83
Nick Payero R 2024 · 4.21 FIP	24	SP-	4.21	16.5%	6.3%	3.1%	.285	5.81	16.6%	4.6%	107	+1.60	4.21	178	83
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	82
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	82
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	81
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	81
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	81
Justin Topa R 2018 · 4.15 FIP	27	SP-	4.15	15.1%	7.9%	2.4%	.374	2.69	19.2%	12.6%	40	-1.46	2.67	284	81
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	80
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	80
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	79
Jared Mortensen R 2015 · 4.42 FIP	27	SP-	4.42	16.9%	7.8%	3.2%	.287	4.99	20.9%	2.1%	72	+0.57	4.42	200	78
Rorik Maltrud R 2024 · 3.91 FIP	24	SP-	3.91	20.4%	9.6%	2.4%	.300	4.40	18.6%	9.4%	193	+0.49	3.91	298	78
Shawn Haviland R 2015 · 3.95 FIP	29	SP-	3.95	14.6%	6.0%	2.4%	.303	4.67	16.1%	8.8%	169	+0.72	3.69	283	78
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	77
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	77
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	77
Fredy Quintero R 2015 · 4.55 FIP	27	SP-	4.55	11.3%	8.9%	2.3%	.375	4.38	15.1%	7.3%	113	-0.17	4.29	241	76
Terance Marin R 2016 · 4.91 FIP	26	SP-	4.91	11.2%	7.7%	3.2%	.294	4.22	12.4%	7.5%	88	-0.69	3.54	322	75
Mike Augliera R 2015 · 4.27 FIP	25	SP-	4.27	12.0%	7.2%	2.3%	.350	—	—	—	—	—	4.27	114	75

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	1.0	68	17.0%	9.1%	1.31	5.03
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*