Trey Benton

P Akron RubberDucks

Age 29 RHP 6'4" / 215 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX2 levels	39	43	2.08	4.00	28.0%	14.0%	—	K 21.1% · BB 16.2% · FIP 4.99
2023	25	AACLE	42	47	3.83	3.50	29.4%	12.7%	—	K 23.8% · BB 13.9% · FIP 4.49
2024	26	AACLE	23	31	3.45	2.43	22.4%	9.7%	—	K 18.1% · BB 10.7% · FIP 2.92
2027PROJ	29	MLBCLE	17	18	4.46	4.46	21.9%	9.7%	0.0
2028PROJ31% MLB	30	MLBCLE	6	6	4.55	4.62	21.7%	9.9%	-0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Joe Nelson (age 31) · Tyler Sturdevant (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.46

FIP4.46

K%21.9%

BB%9.7%

K-BB%12.2%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†5050

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)
2021	23	A MLE	Lynchburg Hillcats	18	0	17	90	24	28	0	0%	0.9	19.7%	36.7%	-17.0%	0.0%	7.41	6.08	—
2021	23	A RAW	Lynchburg Hillcats	18	0	17	90	24	28	0	0%	0.9	26.7%	31.1%	-4.4%	0.0%	7.41	5.22	—
2022	24	MIX MLE	2 levels	39	0	43	186	52	26	5	0%	1.1	21.1%	16.2%	4.9%	3.0%	2.08	4.99	—
2022	24	MIX RAW	2 levels	39	0	43	186	52	26	5	0%	1.1	28.0%	14.0%	14.0%	2.7%	2.08	4.00	—
2023	25	AA MLE	Akron RubberDucks	42	0	47	221	65	28	5	0%	1.1	23.8%	13.9%	9.9%	3.0%	3.83	4.49	—
2023	25	AA RAW	Akron RubberDucks	42	0	47	221	65	28	5	0%	1.1	29.4%	12.7%	16.7%	2.3%	3.83	3.50	—
2024	26	AA MLE	Akron RubberDucks	23	0	31	134	30	13	0	0%	1.4	18.1%	10.7%	7.5%	0.0%	3.45	2.92	—
2024	26	AA MLE	Akron RubberDucks	23	0	31	134	30	13	0	0%	1.4	18.1%	10.7%	7.5%	0.0%	3.45	2.92	—
2024	26	AA RAW	Akron RubberDucks	23	0	31	134	30	13	0	0%	1.4	22.4%	9.7%	12.7%	0.0%	3.45	2.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	CLE	17	0	18	76	17	7	2	0%	1.1	21.9%	9.7%	12.2%	2.9%	4.46	4.46	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	CLE	19	0	20	84	18	8	3	0%	1.1	21.7%	9.9%	11.8%	3.1%	4.55	4.62	-0.0
2028	30	MLB CTX	CLE	6	0	6	25	5	3	1	0%	1.0	21.7%	9.9%	11.8%	3.1%	4.55	4.62	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	21.7%	9.9%	11.8%	3.1%	4.55	4.24	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.1	21.7%	9.9%	11.8%	3.1%	4.55	4.24	+0.7
Career	—	MLE		122	0	139	631	134	108	12	0%	1.1	21.2%	17.2%	4.1%	1.9%	3.63	4.53	-0.0
/ 200 IP	—	MLE		176	0	200	910	193	156	17	0%	1.1	21.2%	17.2%	4.1%	1.9%	3.63	4.53	-0.2

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
Trey Benton (OGILVIE)	—	—	4.46	21.9%	9.7%	2.9%	—	4.62	21.7%	11.8%	20	+0.16	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	89
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	88
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	86
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	84
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	84
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	82
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	81
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	81
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	81
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	81
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	81
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	80
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	80
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	79
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	79
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	79
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	78
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	78
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	78