Troy Miller

P Binghamton Rumble Ponies

Age 30 RHP 6'4" / 210 lbs AA peak 0.2 · 2028

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	24	MIX2 levels	9	8	45	5.00	4.30	23.0%	8.9%	—	K 18.3% · BB 10.0% · FIP 5.30
2023	26	AANYM	1	1	4	7.36	6.92	23.5%	17.6%	—	K 23.5% · BB 17.6% · FIP 6.58
2024	27	MIX2 levels	8	6	23	7.94	6.50	18.5%	12.0%	—	K 15.3% · BB 11.0% · FIP 5.83
2027PROJ	30	MLBNYM	2	2	12	4.53	4.53	21.7%	9.6%	0.1
2028PROJ31% MLB	31	MLBNYM	1	1	6	4.63	4.71	21.4%	9.9%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsZack Segovia (age 32) · Michael Mariot (age 30) · Reinier Roibal (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.53

FIP4.53

K%21.7%

BB%9.6%

K-BB%12.0%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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)
2019	22	A MLE	Lansing Lugnuts	23	22	103	463	75	50	10	96%	4.5	12.0%	12.7%	-0.8%	2.5%	4.81	5.09	—
2019	22	A RAW	Lansing Lugnuts	23	22	103	463	75	50	10	96%	4.5	16.2%	10.8%	5.4%	2.2%	4.81	4.36	—
2021	24	MIX MLE	2 levels	9	8	45	191	44	17	7	89%	5.0	18.3%	10.0%	8.3%	4.5%	5.00	5.30	—
2021	24	MIX RAW	2 levels	9	8	45	191	44	17	7	89%	5.0	23.0%	8.9%	14.1%	3.7%	5.00	4.30	—
2023	26	AA MLE	Binghamton Rumble Ponies	1	1	4	17	4	3	1	100%	3.7	23.5%	17.6%	5.9%	5.9%	7.36	6.58	—
2023	26	AA RAW	Binghamton Rumble Ponies	1	1	4	17	4	3	1	100%	3.7	23.5%	17.6%	5.9%	5.9%	7.36	6.92	—
2024	27	MIX MLE	2 levels	8	6	23	108	20	13	6	75%	2.8	15.3%	11.0%	4.3%	4.8%	7.94	5.83	—
2024	27	MIX MLE	2 levels	8	6	23	108	20	13	6	75%	2.8	15.3%	11.0%	4.3%	4.8%	7.94	5.83	—
2024	27	MIX RAW	2 levels	8	6	23	108	20	13	6	75%	2.8	18.5%	12.0%	6.5%	5.6%	7.94	6.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	NYM	2	2	12	51	11	5	2	100%	6.0	21.7%	9.6%	12.0%	3.0%	4.53	4.53	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	NYM	3	3	20	84	18	8	3	100%	6.7	21.4%	9.9%	11.5%	3.3%	4.63	4.71	+0.0
2028	31	MLB CTX	NYM	1	1	6	25	5	3	1	100%	6.0	21.4%	9.9%	11.5%	3.3%	4.63	4.71	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	6	26	6	3	1	100%	6.3	21.5%	9.9%	11.5%	3.3%	4.63	4.33	+0.0
/ 200 IP	—	RAW		33	33	200	844	192	96	32	100%	6.0	21.5%	9.9%	11.5%	3.3%	4.63	4.33	+1.3
Career	—	MLE		41	37	174	779	111	93	26	90%	4.3	14.2%	11.9%	2.3%	3.4%	5.32	5.27	+0.0
/ 200 IP	—	MLE		47	42	200	894	127	107	30	90%	4.3	14.2%	11.9%	2.3%	3.4%	5.32	5.27	+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
Troy Miller (OGILVIE)	—	—	4.53	21.7%	9.6%	3.0%	—	4.71	21.4%	11.5%	20	+0.18	—	—	—
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	77
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	701	73
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	71
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	70
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	69
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	67
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	66
Yohan Pino R 2014 · 3.84 FIP	30	SP	3.84	19.4%	5.4%	3.1%	.312	4.45	17.1%	11.9%	133	+0.61	3.84	193	65
Stan Spencer R 2000 · 4.42 FIP	30	SP	4.42	19.2%	8.7%	3.4%	.259	—	—	—	—	—	3.61	119	65
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	581	64
Andrew Triggs R 2018 · 4.68 FIP	29	SP	4.68	23.6%	9.9%	4.2%	.263	—	—	—	—	—	1.66	242	64
Cody Anderson R 2019 · 4.33 FIP	28	SP	4.33	18.9%	7.5%	3.4%	.328	—	—	—	—	—	3.69	279	63
Logan Duran R 2015 · 3.42 FIP	33	SP	3.42	15.8%	10.0%	0.7%	.287	3.77	15.3%	6.4%	95	+0.35	3.42	187	63
Forrest Snow R 2019 · 5.53 FIP	30	SP	5.53	18.8%	8.5%	5.3%	.371	—	—	—	—	—	3.02	406	63
Dennis O'Grady R 2019 · 3.62 FIP	30	SP	3.62	17.2%	8.1%	1.7%	.344	—	—	—	—	—	3.62	157	62
Danny Gutierrez R 2017 · 4.11 FIP	30	SP	4.11	15.1%	6.1%	2.8%	.362	—	—	—	—	—	3.34	239	62
Jorge Reyes R 2017 · 3.61 FIP	29	SP	3.61	13.4%	9.4%	0.8%	.326	8.46	6.8%	-0.1%	19	+4.85	3.39	227	61
Wes Parsons R 2023 · 4.58 FIP	30	SP	4.58	23.7%	11.4%	3.7%	.282	5.24	25.2%	9.8%	26	+0.66	3.00	483	60
Hiram Burgos R 2017 · 4.94 FIP	29	SP	4.94	19.3%	7.5%	4.6%	.351	—	—	—	—	—	3.40	384	60
Logan Bawcom R 2019 · 5.33 FIP	30	SP-	5.33	17.1%	7.1%	5.1%	.299	—	—	—	—	—	3.73	399	60