Cole Miller

P Stockton Ports

Age 22 RHP 6'6" / 226 lbs A peak 0.1 · 2031

Overview

APROSPECTFG #360

Scout OFP43ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	MIX2 levels	15	12	52	1.90	2.25	21.4%	5.2%	—	K 16.5% · BB 5.9% · FIP 2.84
2026	21	AOAK	34	8	82	6.67	4.61	21.2%	9.0%	—	K 15.7% · BB 10.6% · FIP 5.76
2027PROJ	22	MLBOAK	50	0	52	5.00	5.00	16.7%	9.2%	-0.3
2028PROJ49% MLB	23	MLBOAK	36	0	38	4.79	4.69	19.1%	8.6%	-0.1
2029PROJ70% MLB	24	MLBOAK	52	0	55	4.60	4.50	20.6%	8.2%	0.0

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff53Control52Command55FB velo42

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 1% · didn't stick 97%

CompsNick Gallagher (age 22) · Adam Bernero (age 23) · A.J. Bogucki (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA5.00

FIP5.00

K%16.7%

BB%9.2%

K-BB%7.5%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

OFP—45

STUF5055

CTRL—55

CMD3055

K†4050

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)
2025	20	MIX MLE	2 levels	15	12	52	210	45	11	1	80%	3.5	16.5%	5.9%	10.7%	0.7%	1.90	2.84	—
2025	20	MIX MLE	2 levels	15	12	52	210	45	11	1	80%	3.5	16.5%	5.9%	10.7%	0.7%	1.90	2.84	—
2025	20	MIX RAW	2 levels	15	12	52	210	45	11	1	80%	3.5	21.4%	5.2%	16.2%	0.5%	1.90	2.25	—
2026	21	A MLE	Stockton Ports	34	8	82	378	80	34	14	24%	2.4	15.7%	10.6%	5.0%	4.8%	6.67	5.76	—
2026	21	A MLE	Stockton Ports	34	8	82	378	80	34	14	24%	2.4	15.7%	10.6%	5.0%	4.8%	6.67	5.76	—
2026	21	A RAW	Stockton Ports	34	8	82	378	80	34	14	24%	2.4	21.2%	9.0%	12.2%	3.7%	6.67	4.61	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	OAK	50	0	52	220	37	20	7	0%	1.0	16.7%	9.2%	7.5%	3.2%	5.00	5.00	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	OAK	73	0	77	325	62	28	10	0%	1.1	19.1%	8.6%	10.5%	3.2%	4.79	4.69	-0.1
2029	24	MLB MLE	OAK	75	0	79	333	68	27	10	0%	1.1	20.6%	8.2%	12.3%	3.1%	4.60	4.50	+0.0
2030	25	MLB MLE	OAK	76	0	80	337	72	27	10	0%	1.1	21.5%	8.1%	13.4%	3.1%	4.47	4.39	+0.1
2031	26	MLB MLE	OAK	76	0	80	337	74	27	10	0%	1.1	21.9%	8.1%	13.9%	3.1%	4.40	4.35	+0.2
2032	27	MLB MLE	OAK	75	0	79	332	73	27	10	0%	1.0	21.9%	8.1%	13.8%	3.1%	4.39	4.39	+0.1
2033	28	MLB MLE	OAK	73	0	76	322	70	27	10	0%	1.0	21.8%	8.3%	13.5%	3.2%	4.44	4.47	+0.1
2034	29	MLB MLE	OAK	69	0	73	307	66	26	10	0%	1.1	21.5%	8.5%	13.0%	3.4%	4.54	4.60	-0.0
2035	30	MLB MLE	OAK	65	0	68	289	61	25	10	0%	1.1	21.2%	8.8%	12.4%	3.6%	4.68	4.78	-0.2
2028	23	MLB CTX	OAK	36	0	38	160	31	14	5	0%	1.1	19.1%	8.6%	10.5%	3.2%	4.79	4.69	-0.1
2029	24	MLB CTX	OAK	52	0	55	232	48	19	7	0%	1.1	20.6%	8.2%	12.3%	3.1%	4.60	4.50	+0.0
2030	25	MLB CTX	OAK	62	0	65	274	59	22	8	0%	1.0	21.5%	8.1%	13.4%	3.1%	4.47	4.39	+0.1
2031	26	MLB CTX	OAK	67	0	70	296	65	24	9	0%	1.0	21.9%	8.1%	13.9%	3.1%	4.40	4.35	+0.2
2032	27	MLB CTX	OAK	68	0	71	300	66	24	9	0%	1.0	21.9%	8.1%	13.8%	3.1%	4.39	4.39	+0.1
2033	28	MLB CTX	OAK	67	0	70	296	64	24	10	0%	1.0	21.8%	8.3%	13.5%	3.2%	4.44	4.47	+0.1
2034	29	MLB CTX	OAK	65	0	68	287	62	24	10	0%	1.0	21.5%	8.5%	13.0%	3.4%	4.54	4.60	-0.0
2035	30	MLB CTX	OAK	61	0	64	270	57	24	10	0%	1.0	21.2%	8.8%	12.4%	3.6%	4.68	4.78	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		476	0	500	2112	451	176	68	0%	1.1	21.3%	8.3%	13.0%	3.2%	4.52	4.13	+2.5
/ 200 IP	—	RAW		190	0	200	844	180	70	27	0%	1.1	21.3%	8.3%	13.0%	3.2%	4.52	4.13	+1.0
Career	—	MLE		49	20	134	588	94	52	20	41%	2.7	16.0%	8.9%	7.1%	3.4%	4.82	4.72	+0.2
/ 200 IP	—	MLE		73	30	200	875	140	78	29	41%	2.7	16.0%	8.9%	7.1%	3.4%	4.82	4.72	+0.1

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
Cole Miller (OGILVIE)	—	—	5.00	16.7%	9.2%	3.2%	—	4.52	20.4%	12.1%	236	-0.48	—	—	—
Nick Gallagher R 2018 · 4.26 FIP	22	SW	4.26	17.2%	7.1%	3.1%	.310	4.55	22.4%	7.1%	90	+0.29	4.10	196	90
Adam Bernero R 2000 · 4.15 FIP	23	SW	4.15	14.2%	8.5%	2.1%	.283	4.88	14.2%	6.3%	247	+0.73	3.45	376	87
A.J. Bogucki R 2017 · 3.84 FIP	22	SW	3.84	15.5%	8.4%	1.8%	.308	4.40	19.2%	8.2%	87	+0.56	3.84	142	87
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	86
Connor Johnstone R 2018 · 4.40 FIP	23	SW	4.40	15.7%	7.6%	3.0%	.272	4.51	12.9%	7.9%	166	+0.11	3.78	319	86
Marc Brakeman R 2016 · 3.85 FIP	22	SW	3.85	17.9%	7.1%	2.5%	.319	4.92	18.6%	5.0%	83	+1.07	3.85	156	86
Huei-Sheng Lin R 2021 · 4.71 FIP	22	SW	4.71	15.4%	8.7%	3.3%	.310	6.28	16.6%	1.7%	52	+1.57	4.59	120	85
Jake Christianson R 2023 · 4.00 FIP	23	SW	4.00	17.9%	10.1%	2.1%	.309	4.72	16.4%	6.1%	105	+0.72	4.00	188	85
Billy Corcoran R 2023 · 4.20 FIP	23	SW	4.20	19.5%	10.0%	2.7%	.308	5.26	16.4%	8.7%	208	+1.06	4.20	277	85
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	85
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	85
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	85
Hunter Hayes R 2023 · 4.53 FIP	22	SW	4.53	13.3%	9.7%	2.4%	.307	4.49	16.5%	4.0%	155	-0.04	3.34	216	85
Ben Anderson R 2021 · 4.84 FIP	23	SW	4.84	19.8%	9.4%	4.0%	.309	4.02	16.2%	7.7%	147	-0.82	3.80	399	84
Nick Lockhart R 2023 · 4.63 FIP	22	SW	4.63	16.1%	10.6%	2.8%	.274	—	—	—	—	—	4.44	140	84
Joan Gregorio R 2015 · 4.29 FIP	23	SW	4.29	18.0%	10.2%	2.6%	.269	4.18	21.1%	11.1%	208	-0.11	3.69	301	84
Bryan Pope R 2022 · 4.48 FIP	23	SW	4.48	13.8%	6.1%	3.2%	.347	4.28	17.7%	7.3%	86	-0.20	3.96	148	83
Kyle Smith R 2016 · 5.05 FIP	23	SW	5.05	14.7%	8.7%	3.8%	.326	3.31	15.2%	9.5%	76	-1.74	3.31	159	83
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	83
Scott Burke R 2018 · 4.55 FIP	24	SW	4.55	14.2%	7.7%	3.0%	.316	5.27	14.9%	6.7%	61	+0.72	4.55	119	83

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	3.3	74	20.8%	8.4%	1.25	4.57
Shane Greene ('23)	2.4	59	21.7%	8.6%	1.12	4.50
Russ Springer ('10)	4.3	66	20.9%	9.4%	1.27	4.52
Luis Vizcaino ('09)	2.7	68	21.0%	10.1%	1.30	4.33
Ed Vande Berg ('82-'88, 3 WAR*)	2.6	74	19.6%*	8.8%*	1.07*	4.07*
Randy Moffitt ('72-'83, 4 WAR*)	3.9	78	19.4%*	8.3%*	1.08*	4.19*
Frank DiPino ('81-'93, 3 WAR*)	3.5	78	22.5%*	9.0%*	1.00*	4.44*