Brandon Leibrandt

P Louisville Bats

Age 34 LHP 6'4" / 190 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	31	MIX2 levels	19	17	90	4.80	4.58	22.1%	6.0%	0.3	K 19.5% · BB 5.4% · FIP 4.45
2025	32	AAAScranton/Wilk…	10	9	41	2.85	4.22	22.7%	8.6%	—	K 19.5% · BB 7.7% · FIP 4.51
2026	33	MIX2 levels	19	17	86	4.92	5.40	16.7%	6.7%	-0.5	K 14.8% · BB 6.1% · FIP 5.62
2027PROJ	34	MLBCIN	10	10	62	5.07	5.07	16.1%	5.9%	-0.1
2028PROJ6% MLB	35	MLBCIN	1	1	3	5.18	5.30	16.2%	6.8%	-0.0
2029PROJ0% MLB	36	MLBCIN	—	—	0	5.38	5.57	16.1%	7.6%	—

Last 3 seasons WAR -0.1 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff48Control55Command53FB velo45

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

CompsChris Michalak (age 35) · Tomas Solis (age 34) · Orlando Lara (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 113121vR 129

ERA5.07

FIP5.07

K%16.1%

BB%5.9%

K-BB%10.1%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Arsenal · Contract

Scouting Grades

OFP—45

STUF5050

CTRL5555

CMD5555

K†4040

CH+1.8 (32%)

SI (6%)

CU (8%)

SL-2.7 (27%)

FB-3.0 (32%)

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)
2015	22	MIX MLE	2 levels	19	18	108	418	75	21	6	95%	5.7	13.1%	6.1%	7.0%	1.7%	2.91	3.71	—
2015	22	MIX RAW	2 levels	19	18	108	418	75	21	6	95%	5.7	17.9%	5.0%	12.9%	1.4%	2.91	3.02	—
2016	23	MIX MLE	2 levels	10	10	44	171	34	14	2	100%	4.4	14.6%	9.6%	5.0%	1.6%	2.27	3.95	—
2016	23	MIX RAW	2 levels	10	10	44	171	34	14	2	100%	4.4	19.9%	8.2%	11.7%	1.2%	2.27	3.10	—
2017	24	MIX MLE	2 levels	25	25	137	566	105	46	12	100%	5.5	15.7%	8.7%	7.0%	2.2%	3.62	4.08	—
2017	24	MIX RAW	2 levels	25	25	137	566	105	46	12	100%	5.5	18.6%	8.1%	10.4%	2.1%	3.62	3.71	—
2018	25	AAA MLE	Lehigh Valley IronPigs	20	6	51	189	32	10	1	30%	2.5	14.9%	5.6%	9.3%	0.6%	1.42	2.88	—
2018	25	AAA RAW	Lehigh Valley IronPigs	20	6	51	189	32	10	1	30%	2.5	16.9%	5.3%	11.6%	0.5%	1.42	2.69	—
2020	27	MLB MLE	Miami Marlins	5	0	9	36	3	6	0	0%	1.8	8.3%	16.7%	-8.3%	0.0%	2.00	4.51	+0.0
2020	27	MLB RAW	Miami Marlins	5	0	9	36	3	6	0	0%	1.8	8.3%	16.7%	-8.3%	0.0%	2.00	4.43	+0.0
2021	28	MIX MLE	2 levels	21	18	89	387	74	33	16	86%	4.2	16.4%	9.1%	7.3%	5.1%	5.68	5.65	—
2021	28	MIX RAW	2 levels	21	18	89	387	74	33	16	86%	4.2	19.1%	8.5%	10.6%	4.1%	5.68	4.89	—
2022	29	MIX MLE	2 levels	21	8	69	289	68	16	14	38%	3.3	19.6%	5.9%	13.7%	5.5%	4.67	5.20	—
2022	29	MIX RAW	2 levels	21	8	69	289	68	16	14	38%	3.3	23.5%	5.5%	18.0%	4.8%	4.67	4.46	—
2024	31	MIX MLE	2 levels	19	17	90	384	85	23	18	89%	4.7	19.5%	5.4%	14.2%	4.2%	4.80	4.45	+0.5
2024	31	MIX MLE	2 levels	19	17	90	384	85	23	18	89%	4.7	19.5%	5.4%	14.2%	4.2%	4.80	4.45	+0.5
2024	31	MIX RAW	2 levels	19	17	90	384	85	23	18	89%	4.7	22.1%	6.0%	16.1%	4.7%	4.80	4.58	+0.3
2025	32	AAA MLE	Scranton/Wilkes-Barre RailRiders	10	9	41	163	37	14	6	90%	4.1	19.5%	7.7%	11.8%	3.8%	2.85	4.51	—
2025	32	AAA MLE	Scranton/Wilkes-Barre RailRiders	10	9	41	163	37	14	6	90%	4.1	19.5%	7.7%	11.8%	3.8%	2.85	4.51	—
2025	32	AAA RAW	Scranton/Wilkes-Barre RailRiders	10	9	41	163	37	14	6	90%	4.1	22.7%	8.6%	14.1%	3.7%	2.85	4.22	—
2026	33	MIX MLE	2 levels	19	17	86	372	62	25	19	89%	4.5	14.8%	6.1%	8.8%	5.5%	4.92	5.62	-0.7
2026	33	MIX MLE	2 levels	19	17	86	372	62	25	19	89%	4.5	14.8%	6.1%	8.8%	5.5%	4.92	5.62	-0.7
2026	33	MIX RAW	2 levels	19	17	86	372	62	25	19	89%	4.5	16.7%	6.7%	9.9%	5.1%	4.92	5.40	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			8	0	21	98	11	10	5	0%	2.7	11.2%	10.2%	1.0%	5.1%	5.91	6.52	-0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	34	MLB	CIN	10	10	62	262	42	16	10	100%	6.2	16.1%	5.9%	10.1%	4.0%	5.07	5.07	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	35	MLB MLE	CIN	9	9	56	235	38	16	10	100%	6.2	16.2%	6.8%	9.4%	4.2%	5.18	5.30	-0.2
2029	36	MLB MLE	CIN	8	8	49	208	33	16	9	100%	6.2	16.1%	7.6%	8.4%	4.5%	5.38	5.57	-0.4
2030	37	MLB MLE	CIN	7	7	43	181	28	15	9	100%	6.1	15.7%	8.3%	7.4%	4.9%	5.65	5.88	-0.5
2028	35	MLB CTX	CIN	1	1	3	13	2	1	1	100%	3.0	16.2%	6.8%	9.4%	4.2%	5.18	5.30	-0.0
2029	36	MLB CTX	CIN	—	—	0	—	—	—	—	—	—	16.1%	7.6%	8.4%	4.5%	5.38	5.57	—
2030	37	MLB CTX	CIN	—	—	0	—	—	—	—	—	—	15.7%	8.3%	7.4%	4.9%	5.65	5.88	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	1	24	111	13	11	6	11%	2.7	11.8%	9.8%	2.0%	5.0%	5.82	6.09	-0.4
/ 200 IP	—	RAW		70	4	200	909	107	90	49	6%	2.9	11.8%	9.8%	2.0%	5.0%	5.82	6.09	-3.5
Career	—	MLE		169	128	723	2975	482	216	102	76%	4.3	16.2%	7.3%	8.9%	3.4%	3.87	4.53	-1.5
/ 200 IP	—	MLE		47	35	200	823	133	60	28	76%	4.3	16.2%	7.3%	8.9%	3.4%	3.87	4.53	-1.7

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 Leibrandt (OGILVIE)	—	—	5.07	16.1%	5.9%	4.0%	—	5.56	16.0%	8.5%	148	+0.49	—	—	—
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	65
Tomas Solis L 2017 · 5.48 FIP	34	SP	5.48	11.3%	7.9%	4.2%	.322	6.44	8.9%	1.4%	57	+0.96	4.20	327	65
Orlando Lara L 2019 · 4.09 FIP	34	SP	4.09	22.0%	7.8%	3.4%	.329	—	—	—	—	—	3.85	426	57
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	56
Chris Narveson L 2016 · 4.59 FIP	34	SP-	4.59	16.2%	8.5%	3.2%	.253	4.59	12.2%	1.8%	103	+0.00	4.00	625	56
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	55
Daniel Rodriguez L 2019 · 4.77 FIP	34	SP	4.77	20.8%	7.8%	4.5%	.329	—	—	—	—	—	2.89	391	55
Paul Oseguera L 2016 · 5.62 FIP	32	SP	5.62	5.6%	12.5%	2.6%	.320	—	—	—	—	—	3.83	162	54
Arturo Lopez L 2017 · 4.34 FIP	34	SP	4.34	10.3%	5.4%	2.6%	.342	5.46	12.2%	5.4%	117	+1.12	4.34	445	53
Kwang Hyun Kim L 2021 · 4.21 FIP	33	SP-	4.21	17.7%	8.2%	2.9%	.266	—	—	—	—	—	3.76	146	52
Luke Westphal L 2022 · 4.35 FIP	33	SW	4.35	24.2%	13.4%	2.9%	.302	5.19	15.7%	-0.7%	26	+0.84	2.97	294	43
Jorge Castillo L 2016 · 4.94 FIP	34	SP	4.94	13.0%	4.6%	4.3%	.246	4.93	16.8%	9.2%	179	-0.01	4.50	408	43
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	35
Rolando Valdez R 2019 · 5.36 FIP	33	SP-	5.36	11.7%	7.6%	4.2%	.360	—	—	—	—	—	3.06	258	35
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	34
Guillermo Moscoso R 2018 · 5.07 FIP	34	SP-	5.07	18.2%	8.4%	4.5%	.318	4.35	12.6%	5.9%	104	-0.72	3.56	486	34
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	31
Tim Adleman R 2022 · 5.69 FIP	34	SP-	5.69	17.5%	8.6%	5.4%	.275	—	—	—	—	—	3.63	605	31
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	30
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	30

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	1.2	58	15.6%	7.6%	1.71	5.35
Ricky Stone ('07)	1.3	64	15.2%	8.0%	1.55	4.68
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Ken MacKenzie ('60-'65, -3 WAR*)	1.0	69	20.1%*	7.3%*	1.83*	5.50*
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*