Brent Honeywell

P El Paso Chihuahuas

Age 32 RHP 6'2" / 195 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	28	MIX2 levels	44	4	68	5.32	5.52	17.8%	9.9%	-0.8	K 17.4% · BB 9.7% · FIP 5.33
2024	29	MIX2 levels	53	1	81	3.57	3.99	16.0%	8.7%	0.5	K 14.5% · BB 8.2% · FIP 4.20
2026	31	AAASD	7	0	7	9.82	6.24	10.0%	15.0%	—	K 10.0% · BB 15.0% · FIP 5.53
2027PROJ	32	MLBSD	6	0	6	4.81	4.78	19.0%	10.1%	-0.0
2028PROJ37% MLB	33	MLBSD	14	0	15	4.91	5.01	18.6%	10.5%	-0.1
2029PROJ32% MLB	34	MLBSD	10	0	10	5.10	5.26	18.1%	10.9%	-0.1

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

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo54

xwOBA vs22

K%10

CompsMarco Quevedo (age 32) · Elian Leyva (age 30) · Chris Jakubauskas (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.81

FIP4.78

K%19.0%

BB%10.1%

K-BB%8.9%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Contract

Scouting Grades

STUF3030

CTRL5050

CMD3030

K†4545

Statcast Percentiles

FB Velo

p5494.8

Whiff%

p1015.3%

p1012.0%

xwOBA vs

p220.345

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 the standard WAR scale.

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	20	MIX MLE	2 levels	24	24	130	525	129	27	5	100%	5.4	18.5%	6.0%	12.5%	1.2%	3.18	2.98	—
2015	20	MIX RAW	2 levels	24	24	130	525	129	27	5	100%	5.4	24.6%	5.1%	19.4%	1.0%	3.18	2.24	—
2016	21	MIX MLE	2 levels	20	20	115	453	117	25	9	100%	5.8	20.4%	6.2%	14.2%	2.2%	2.34	3.37	—
2016	21	MIX RAW	2 levels	20	20	115	453	117	25	9	100%	5.8	25.8%	5.5%	20.3%	2.0%	2.34	2.74	—
2017	22	MIX MLE	2 levels	26	26	137	568	172	35	12	100%	5.3	25.6%	6.2%	19.4%	2.2%	3.49	2.94	—
2017	22	MIX RAW	2 levels	26	26	137	568	172	35	12	100%	5.3	30.3%	6.2%	24.1%	2.1%	3.49	2.49	—
2021	26	MIX MLE	2 levels	34	15	86	356	71	27	15	44%	2.5	17.6%	7.5%	10.1%	4.0%	4.19	4.78	-0.2
2021	26	MIX RAW	2 levels	34	15	86	356	71	27	15	44%	2.5	19.9%	7.6%	12.4%	4.2%	4.19	4.66	-0.1
2022	27	MIX MLE	2 levels	13	2	20	98	24	8	7	15%	1.6	21.7%	8.6%	13.1%	8.4%	7.08	6.98	—
2022	27	MIX RAW	2 levels	13	2	20	98	24	8	7	15%	1.6	24.5%	8.2%	16.3%	7.1%	7.08	6.40	—
2023	28	MIX MLE	2 levels	44	4	68	303	54	30	14	9%	1.5	17.4%	9.7%	7.7%	4.5%	5.32	5.33	-0.6
2023	28	MIX RAW	2 levels	44	4	68	303	54	30	14	9%	1.5	17.8%	9.9%	7.9%	4.6%	5.32	5.52	-0.8
2024	29	MIX MLE	2 levels	53	1	81	332	53	29	7	2%	1.5	14.5%	8.2%	6.3%	2.3%	3.57	4.20	+0.3
2024	29	MIX MLE	2 levels	53	1	81	332	53	29	7	2%	1.5	14.5%	8.2%	6.3%	2.3%	3.57	4.20	+0.3
2024	29	MIX RAW	2 levels	53	1	81	332	53	29	7	2%	1.5	16.0%	8.7%	7.2%	2.1%	3.57	3.99	+0.5
2026	31	AAA MLE	El Paso Chihuahuas	7	0	7	40	4	6	1	0%	1.0	10.0%	15.0%	-5.0%	2.5%	9.82	5.53	—
2026	31	AAA MLE	El Paso Chihuahuas	7	0	7	40	4	6	1	0%	1.0	10.0%	15.0%	-5.0%	2.5%	9.82	5.53	—
2026	31	AAA RAW	El Paso Chihuahuas	7	0	7	40	4	6	1	0%	1.0	10.0%	15.0%	-5.0%	2.5%	9.82	6.24	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			63	3	94	404	67	37	15	5%	1.5	16.6%	9.2%	7.4%	3.7%	4.10	4.92	-0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	SD	6	0	6	25	5	3	1	0%	1.0	19.0%	10.1%	8.9%	2.9%	4.81	4.78	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	SD	40	0	42	175	33	18	6	0%	1.0	18.6%	10.5%	8.1%	3.2%	4.91	5.01	-0.2
2029	34	MLB MLE	SD	31	0	32	136	25	15	5	0%	1.0	18.1%	10.9%	7.2%	3.5%	5.10	5.26	-0.3
2030	35	MLB MLE	SD	25	0	26	110	19	12	4	0%	1.0	17.4%	11.4%	6.0%	3.8%	5.35	5.55	-0.3
2028	33	MLB CTX	SD	14	0	15	63	12	7	2	0%	1.1	18.6%	10.5%	8.1%	3.2%	4.91	5.01	-0.1
2029	34	MLB CTX	SD	10	0	10	42	8	5	1	0%	1.0	18.1%	10.9%	7.2%	3.5%	5.10	5.26	-0.1
2030	35	MLB CTX	SD	7	0	7	30	5	3	1	0%	1.0	17.4%	11.4%	6.0%	3.8%	5.35	5.55	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		94	3	127	543	92	52	20	3%	1.4	17.0%	9.6%	7.4%	3.6%	4.35	4.88	-0.5
/ 200 IP	—	RAW		148	5	200	853	145	82	31	3%	1.3	17.0%	9.6%	7.4%	3.6%	4.35	4.88	-0.8
Career	—	MLE		221	92	644	2675	524	193	74	42%	2.9	19.6%	7.2%	12.4%	2.8%	3.70	3.88	-1.2
/ 200 IP	—	MLE		69	29	200	830	163	60	23	42%	2.9	19.6%	7.2%	12.4%	2.8%	3.70	3.88	-1.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAEl Paso Chihuahuas · 7 IPFIP 5.53 → 5.59 (+0.07)K% 10.0% → 8.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.00%	—	×0.860	8.60%
BB% (unintentional) /BF	15.00%	—	×0.900	13.50%
HR / BF /BF	2.50%	÷1.000	×1.100	2.75%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 5.53 → 5.59, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAOklahoma City Baseball Club · 43 IPFIP 3.93 → 4.30 (+0.37)K% 19.1% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.13%	—	×0.860	16.45%
BB% (unintentional) /BF	9.84%	—	×0.900	8.85%
HR / BF /BF	2.19%	÷0.896	×1.100	2.68%

Result: FIP 3.93 → 4.30, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAACharlotte Knights · 15 IPFIP 6.47 → 6.35 (−0.12)K% 13.0% → 11.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.04%	—	×0.860	11.22%
BB% (unintentional) /BF	10.14%	—	×0.900	9.13%
HR / BF /BF	5.80%	÷1.152	×1.100	5.53%

Result: FIP 6.47 → 6.35, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAALas Vegas Aviators · 17 IPFIP 6.58 → 6.98 (+0.41)K% 24.7% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.71%	—	×0.880	21.74%
BB% (unintentional) /BF	8.24%	—	×1.050	8.65%
HR / BF /BF	8.24%	÷1.075	×1.100	8.42%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 115).

Result: FIP 6.58 → 6.98, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAADurham Bulls · 82 IPFIP 4.45 → 4.78 (+0.33)K% 20.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.880	17.60%
BB% (unintentional) /BF	7.16%	—	×1.050	7.52%
HR / BF /BF	3.88%	÷1.059	×1.100	4.03%

Result: FIP 4.45 → 4.78, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 AAADurham Bulls · 124 IPFIP 2.55 → 2.94 (+0.39)K% 29.1% → 25.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.12%	—	×0.880	25.62%
BB% (unintentional) /BF	5.94%	—	×1.050	6.24%
HR / BF /BF	2.11%	÷1.049	×1.100	2.21%

Result: FIP 2.55 → 2.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 AAMontgomery Biscuits · 13 IPFIP 1.72 → 2.76 (+1.04)K% 43.5% → 35.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.48%	—	×0.810	35.22%
BB% (unintentional) /BF	8.70%	—	×1.100	9.57%
HR / BF /BF	2.17%	÷1.008	×1.200	2.59%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 102).

Result: FIP 1.72 → 2.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAMontgomery Biscuits · 59 IPFIP 2.89 → 3.42 (+0.54)K% 22.5% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.46%	—	×0.810	18.19%
BB% (unintentional) /BF	5.93%	—	×1.100	6.53%
HR / BF /BF	1.69%	÷1.081	×1.200	1.88%

Result: FIP 2.89 → 3.42, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Brent Honeywell (OGILVIE)	—	—	4.78	19.0%	10.1%	2.9%	—	5.23	18.1%	7.3%	100	+0.45	—	—	—
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	74
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	72
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	71
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	71
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	71
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	69
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	69
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	68
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	67
Austin Bibens-Dirkx R 2017 · 5.03 FIP	32	SW	5.03	14.0%	6.6%	4.2%	.268	5.28	17.5%	9.7%	166	+0.25	3.97	567	67
Mike Fyhrie R 2002 · 3.86 FIP	32	SW	3.86	13.7%	9.0%	1.4%	.267	—	—	—	—	—	3.08	173	66
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	66
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	65
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	64
Cody Satterwhite R 2017 · 4.22 FIP	30	SU	4.22	17.0%	7.1%	3.0%	.310	—	—	—	—	—	3.69	147	64
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	64
Brian Sanches R 2011 · 4.35 FIP	32	SU	4.35	19.6%	11.1%	2.7%	.250	—	—	—	—	—	3.39	229	63
Toru Murata R 2016 · 3.63 FIP	31	SW	3.63	12.9%	5.7%	1.6%	.288	—	—	—	—	—	3.63	267	63
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	3.37	468	62
Jason Urquidez R 2015 · 3.59 FIP	32	SU	3.59	15.6%	9.3%	1.1%	.386	1.81	25.5%	20.7%	90	-1.78	1.25	123	62

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.3	42	17.8%	10.1%	1.33	4.65
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*