Garrett McMillan

P Bradenton Marauders

Age 26 RHP 6'4" / 235 lbs A peak 0.1 · 2027

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	36	4	70	2.18	2.39	28.2%	7.0%	—	K 21.2% · BB 8.2% · FIP 3.30
2025	24	MIX2 levels	10	10	48	2.62	2.79	24.2%	3.8%	—	K 18.9% · BB 4.3% · FIP 3.53
2026	25	MIX2 levels	3	3	7	1.35	1.60	30.8%	7.7%	—	K 30.8% · BB 7.7% · FIP 1.48
2027PROJ	26	MLBPIT	—	—	0	4.16	4.16	20.8%	6.6%	—
2028PROJ36% MLB	27	MLBPIT	12	0	13	4.20	4.21	21.0%	6.9%	0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsEdwin Quirarte (age 28) · Connor Schultz (age 25) · Coleman Huntley III (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 96

ERA4.16

FIP4.16

K%20.8%

BB%6.6%

K-BB%14.2%

Proj IP32

Value2027 · WAR

Runs saved vs league avg · 32 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 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)
2023	22	ROK MLE	FCL Pirates	1	0	0	5	0	0	0	0%	0.3	0.0%	0.0%	0.0%	0.0%	54.00	3.10	—
2023	22	ROK RAW	FCL Pirates	1	0	0	5	0	0	0	0%	0.3	0.0%	0.0%	0.0%	0.0%	54.00	3.10	—
2024	23	MIX MLE	2 levels	36	4	70	287	81	20	4	11%	2.0	21.2%	8.2%	13.0%	1.7%	2.18	3.30	—
2024	23	MIX MLE	2 levels	36	4	70	287	81	20	4	11%	2.0	21.2%	8.2%	13.0%	1.7%	2.18	3.30	—
2024	23	MIX RAW	2 levels	36	4	70	287	81	20	4	11%	2.0	28.2%	7.0%	21.3%	1.4%	2.18	2.39	—
2025	24	MIX MLE	2 levels	10	10	48	182	44	7	4	100%	4.8	18.9%	4.3%	14.6%	2.7%	2.62	3.53	—
2025	24	MIX MLE	2 levels	10	10	48	182	44	7	4	100%	4.8	18.9%	4.3%	14.6%	2.7%	2.62	3.53	—
2025	24	MIX RAW	2 levels	10	10	48	182	44	7	4	100%	4.8	24.2%	3.8%	20.3%	2.2%	2.62	2.79	—
2026	25	MIX MLE	2 levels	3	3	7	26	8	2	0	100%	2.2	30.8%	7.7%	23.1%	0.0%	1.35	1.48	—
2026	25	MIX MLE	2 levels	3	3	7	26	8	2	0	100%	2.2	30.8%	7.7%	23.1%	0.0%	1.35	1.48	—
2026	25	MIX RAW	2 levels	3	3	7	26	8	2	0	100%	2.2	30.8%	7.7%	23.1%	0.0%	1.35	1.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	PIT	—	—	0	—	—	—	—	—	—	20.8%	6.6%	14.2%	2.9%	4.16	4.16	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	PIT	35	0	36	154	32	11	5	0%	1.0	21.0%	6.9%	14.1%	3.0%	4.20	4.21	+0.1
2028	27	MLB CTX	PIT	12	0	13	55	12	4	2	0%	1.1	21.0%	6.9%	14.1%	3.0%	4.20	4.21	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	12	4	2	0%	1.0	21.0%	6.9%	14.1%	3.0%	4.20	3.83	+0.1
/ 200 IP	—	RAW		190	0	200	844	181	60	30	0%	1.1	21.0%	6.9%	14.1%	3.0%	4.20	3.83	+1.7
Career	—	MLE		50	17	125	500	103	33	10	34%	2.5	20.7%	6.7%	14.0%	2.0%	2.44	3.29	+0.1
/ 200 IP	—	MLE		80	27	200	798	165	53	16	34%	2.5	20.7%	6.7%	14.0%	2.0%	2.44	3.29	+0.8

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.

2025 A+Greensboro Grasshoppers · 29 IPFIP 2.70 → 3.59 (+0.88)K% 27.4% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.36%	—	×0.770	21.07%
BB% (unintentional) /BF	2.83%	—	×1.150	3.25%
HR / BF /BF	2.83%	÷1.048	×1.250	3.37%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 110).

Result: FIP 2.70 → 3.59, 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).

2025 AAAltoona Curve · 19 IPFIP 2.82 → 3.46 (+0.63)K% 19.7% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.74%	—	×0.810	15.99%
BB% (unintentional) /BF	5.26%	—	×1.100	5.79%
HR / BF /BF	1.32%	÷0.891	×1.200	1.77%

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 78).

Result: FIP 2.82 → 3.46, 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 ABradenton Marauders · 49 IPFIP 2.98 → 3.98 (+1.00)K% 25.7% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.73%	—	×0.740	19.04%
BB% (unintentional) /BF	7.77%	—	×1.180	9.17%
HR / BF /BF	1.94%	÷1.046	×1.300	2.41%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 109).

Result: FIP 2.98 → 3.98, 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).

2024 A+Greensboro Grasshoppers · 21 IPFIP 0.81 → 1.57 (+0.77)K% 34.6% → 26.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.57%	—	×0.770	26.62%
BB% (unintentional) /BF	4.94%	—	×1.150	5.68%
HR / BF /BF	0.00%	÷1.106	×1.250	0.00%

Result: FIP 0.81 → 1.57, 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
Garrett McMillan (OGILVIE)	—	—	4.16	20.8%	6.6%	2.9%	—	4.21	21.0%	14.1%	36	+0.05	—	—	—
Edwin Quirarte R 2015 · 3.41 FIP	28	SW	3.41	16.7%	6.2%	1.7%	.311	3.48	12.7%	4.9%	83	+0.06	3.16	157	79
Connor Schultz R 2024 · 3.88 FIP	25	SU	3.88	19.7%	5.3%	3.2%	.283	4.02	18.8%	10.4%	156	+0.14	3.53	203	78
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	77
Reinier Roibal R 2015 · 3.11 FIP	26	SU	3.11	19.1%	4.5%	1.9%	.262	4.37	16.9%	9.8%	35	+1.26	3.11	133	77
Jackson Rose R 2022 · 3.33 FIP	26	SW	3.33	21.0%	4.3%	2.6%	.245	4.72	24.1%	11.5%	26	+1.39	3.33	147	76
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.11	17.6%	6.7%	206	+1.46	3.65	248	76
Stephen Perakslis R 2017 · 3.07 FIP	26	SW	3.07	21.3%	8.2%	1.3%	.313	5.15	11.8%	5.9%	42	+2.08	3.07	211	75
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	75
Angel Guzman R 2007 · 3.13 FIP	25	SW	3.13	20.3%	7.0%	1.6%	.330	4.25	19.2%	11.4%	61	+1.12	3.13	147	74
Derek Gordon R 2016 · 4.62 FIP	25	SW	4.62	19.9%	9.3%	3.7%	.315	—	—	—	—	—	4.62	146	74
Clay Condrey R 2002 · 3.18 FIP	26	SW	3.18	15.1%	6.6%	0.9%	.232	5.41	14.9%	4.8%	34	+2.23	3.18	250	74
Chris Kachmar R 2023 · 4.82 FIP	26	SW	4.82	20.5%	7.8%	4.5%	.319	4.65	18.4%	7.3%	248	-0.17	4.29	360	74
Brandon Backe R 2004 · 4.41 FIP	26	SW	4.41	18.4%	7.8%	3.4%	.316	4.77	13.2%	3.4%	221	+0.36	4.41	525	74
Wil Jensen R 2024 · 3.48 FIP	26	SW	3.48	22.7%	8.4%	2.2%	.314	—	—	—	—	—	3.48	368	74
David Pauley R 2008 · 4.30 FIP	25	SW	4.30	16.4%	7.5%	3.0%	.429	4.30	13.8%	7.3%	165	+0.00	3.51	210	74
TJ Shook R 2024 · 4.15 FIP	26	SW	4.15	23.7%	8.7%	3.5%	.317	3.92	20.0%	11.1%	107	-0.23	3.35	452	74
Ryan Tapani R 2019 · 3.86 FIP	25	SW	3.86	19.0%	7.3%	2.6%	.331	5.56	20.8%	10.6%	47	+1.70	3.86	141	74
Kevin Herget R 2017 · 3.68 FIP	26	SW	3.68	20.3%	7.0%	2.5%	.332	4.67	18.1%	12.4%	139	+0.99	2.16	726	73
Roberto Gómez R 2017 · 3.95 FIP	27	SW	3.95	18.4%	8.9%	2.3%	.315	5.25	13.8%	4.9%	18	+1.30	3.95	115	73
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	73

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	0.3	34	20.9%	6.7%	1.14	4.18
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Junichi Tazawa ('18)	2.0	49	22.2%	6.5%	1.12	4.12
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Mike Perez ('90-'97, 3 WAR*)	1.7	58	18.5%*	8.2%*	0.88*	3.86*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*