Brandon Komar

P Chattanooga Lookouts

Age 28 RHP 6'0" / 195 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	MIX2 levels	25	22	126	4.99	4.50	17.1%	8.6%	—	K 13.6% · BB 9.5% · FIP 4.94
2024	25	MIX2 levels	29	8	102	3.10	2.68	19.4%	6.6%	—	K 16.0% · BB 6.8% · FIP 3.00
2025	26	MIX2 levels	28	5	81	5.20	4.10	18.9%	8.1%	—	K 15.5% · BB 8.2% · FIP 4.64
2027PROJ	28	MLBCIN	66	0	69	4.83	4.83	14.6%	8.0%	-0.2
2028PROJ31% MLB	29	MLBCIN	20	0	21	4.86	4.91	15.3%	8.3%	-0.1
2029PROJ51% MLB	30	MLBCIN	30	0	32	4.95	5.04	15.6%	8.7%	-0.2

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control60Command45

CompsJosh Roeder (age 26) · Ramon Delgado (age 29) · Casey Sadler (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.83

FIP4.83

K%14.6%

BB%8.0%

K-BB%6.7%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL6060

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)
2019	20	MIX MLE	2 levels	12	2	34	156	39	15	4	17%	2.9	17.7%	11.6%	6.0%	3.1%	6.29	4.77	—
2019	20	MIX RAW	2 levels	12	2	34	156	39	15	4	17%	2.9	25.0%	9.6%	15.4%	2.6%	6.29	3.65	—
2021	22	MIX MLE	2 levels	31	5	80	356	85	40	7	16%	2.6	19.0%	12.5%	6.4%	2.7%	4.48	4.55	—
2021	22	MIX RAW	2 levels	31	5	80	356	85	40	7	16%	2.6	23.9%	11.2%	12.6%	2.0%	4.48	3.61	—
2022	23	MIX MLE	2 levels	31	16	118	498	95	44	14	52%	3.8	15.1%	9.9%	5.3%	3.9%	5.19	5.19	—
2022	23	MIX RAW	2 levels	31	16	118	498	95	44	14	52%	3.8	19.1%	8.8%	10.2%	2.8%	5.19	4.15	—
2023	24	MIX MLE	2 levels	25	22	126	532	91	46	17	88%	5.1	13.6%	9.5%	4.2%	3.3%	4.99	4.94	—
2023	24	MIX RAW	2 levels	25	22	126	532	91	46	17	88%	5.1	17.1%	8.6%	8.5%	3.2%	4.99	4.50	—
2024	25	MIX MLE	2 levels	29	8	102	427	83	28	3	28%	3.5	16.0%	6.8%	9.2%	0.7%	3.10	3.00	—
2024	25	MIX MLE	2 levels	29	8	102	427	83	28	3	28%	3.5	16.0%	6.8%	9.2%	0.7%	3.10	3.00	—
2024	25	MIX RAW	2 levels	29	8	102	427	83	28	3	28%	3.5	19.4%	6.6%	12.9%	0.7%	3.10	2.68	—
2025	26	MIX MLE	2 levels	28	5	81	359	68	29	10	18%	2.9	15.5%	8.2%	7.3%	3.3%	5.20	4.64	—
2025	26	MIX MLE	2 levels	28	5	81	359	68	29	10	18%	2.9	15.5%	8.2%	7.3%	3.3%	5.20	4.64	—
2025	26	MIX RAW	2 levels	28	5	81	359	68	29	10	18%	2.9	18.9%	8.1%	10.9%	2.8%	5.20	4.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	CIN	66	0	69	291	43	23	8	0%	1.0	14.6%	8.0%	6.7%	2.9%	4.83	4.83	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	CIN	63	0	66	280	43	23	9	0%	1.1	15.3%	8.3%	7.0%	3.0%	4.86	4.91	-0.3
2029	30	MLB MLE	CIN	59	0	62	263	41	23	9	0%	1.1	15.6%	8.7%	6.9%	3.2%	4.95	5.04	-0.3
2028	29	MLB CTX	CIN	20	0	21	89	14	7	3	0%	1.1	15.3%	8.3%	7.0%	3.0%	4.86	4.91	-0.1
2029	30	MLB CTX	CIN	30	0	32	135	21	12	4	0%	1.1	15.6%	8.7%	6.9%	3.2%	4.95	5.04	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		50	0	53	222	34	19	7	0%	1.1	15.4%	8.5%	6.9%	3.2%	4.91	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	129	72	27	0%	1.1	15.4%	8.5%	6.9%	3.2%	4.91	4.61	-0.1
Career	—	MLE		156	58	542	2328	367	221	66	37%	3.5	15.8%	9.5%	6.3%	2.8%	4.72	4.52	-0.6
/ 200 IP	—	MLE		58	21	200	859	135	81	24	37%	3.5	15.8%	9.5%	6.3%	2.8%	4.72	4.52	-1.0

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
Brandon Komar (OGILVIE)	—	—	4.83	14.6%	8.0%	2.9%	—	4.97	15.4%	6.9%	128	+0.14	—	—	—
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	82
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	81
Casey Sadler R 2018 · 3.95 FIP	28	SW	3.95	16.0%	7.8%	2.2%	.298	3.35	23.2%	16.5%	145	-0.60	2.21	385	81
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	80
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	80
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	79
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	79
Nelson Figueroa R 2002 · 5.41 FIP	28	SW	5.41	12.4%	7.5%	4.4%	.250	5.52	12.5%	4.6%	64	+0.11	3.71	499	78
Sugar Ray Marimon R 2015 · 4.12 FIP	26	SW	4.12	12.4%	9.1%	1.7%	.283	—	—	—	—	—	4.12	107	78
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	78
Cory Lidle R 2000 · 4.32 FIP	28	SW	4.32	14.6%	6.1%	3.1%	.313	4.06	14.2%	8.7%	573	-0.26	3.48	1,318	78
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	77
Alfonso Sanchez R 2016 · 5.26 FIP	28	SW	5.26	15.9%	7.4%	4.7%	.244	5.55	11.2%	2.3%	115	+0.29	4.51	224	77
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	77
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	77
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	77
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	77
Jose Pina R 2015 · 4.90 FIP	29	SW	4.90	16.9%	9.2%	3.8%	.231	3.66	13.6%	6.9%	246	-1.24	3.63	424	76
Chris Jensen R 2018 · 5.31 FIP	27	SW	5.31	12.0%	10.6%	3.4%	.347	—	—	—	—	—	4.47	488	75
Ivan Zavala R 2015 · 4.51 FIP	28	SP-	4.51	7.0%	4.7%	2.6%	.312	4.73	12.2%	4.3%	50	+0.22	4.27	209	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	66	15.1%	8.3%	1.18	4.88
Eric Gunderson ('00)	1.1	76	13.3%	8.1%	1.14	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Pat Perry ('85-'90, 2 WAR*)	1.3	66	15.3%*	9.0%*	1.14*	3.85*
John Morris ('66-'74, -0 WAR*)	1.2	58	18.3%*	8.2%*	1.00*	4.74*