Andrew Huffman

P FCL Twins

Age 27 RHP 6'2" / 225 lbs ROK

Overview

ROKPROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	ROKMIN	2	3	2.70	3.10	17.6%	11.8%	—	K 17.6% · BB 11.8% · FIP 3.10
2025	25	ROKMIN	11	15	1.17	4.27	26.4%	13.9%	—	K 17.9% · BB 17.4% · FIP 5.91
2027PROJ	27	MLBMIN	9	9	4.82	4.82	22.7%	12.7%	-0.0
2028PROJ36% MLB	28	MLBMIN	7	7	4.82	4.86	22.7%	12.5%	-0.0

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

Contract

No contract data on file.

CompsJoe Colón J (age 27) · Spencer Bivens (age 28) · Cole McDonald (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 108

ERA4.82

FIP4.82

K%22.7%

BB%12.7%

K-BB%10.0%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5555

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)
2024	24	ROK MLE	FCL Twins	2	0	3	17	3	2	0	0%	1.7	17.6%	11.8%	5.9%	0.0%	2.70	3.10	—
2024	24	ROK MLE	FCL Twins	2	0	3	17	3	2	0	0%	1.7	17.6%	11.8%	5.9%	0.0%	2.70	3.10	—
2024	24	ROK RAW	FCL Twins	2	0	3	17	3	2	0	0%	1.7	17.6%	11.8%	5.9%	0.0%	2.70	3.10	—
2025	25	ROK MLE	FCL Twins	11	0	15	72	19	10	2	0%	1.4	17.9%	17.4%	0.6%	3.9%	1.17	5.91	—
2025	25	ROK MLE	FCL Twins	11	0	15	72	19	10	2	0%	1.4	17.9%	17.4%	0.6%	3.9%	1.17	5.91	—
2025	25	ROK RAW	FCL Twins	11	0	15	72	19	10	2	0%	1.4	26.4%	13.9%	12.5%	2.8%	1.17	4.27	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	MIN	9	0	9	38	9	5	1	0%	1.0	22.7%	12.7%	10.0%	3.0%	4.82	4.82	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	MIN	19	0	20	84	19	11	3	0%	1.1	22.7%	12.5%	10.1%	3.1%	4.82	4.86	-0.1
2028	28	MLB CTX	MIN	7	0	7	30	7	4	1	0%	1.0	22.7%	12.5%	10.1%	3.1%	4.82	4.86	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.0	22.7%	12.5%	10.1%	3.1%	4.82	4.48	+0.0
/ 200 IP	—	RAW		190	0	200	844	193	110	28	0%	1.1	22.7%	12.5%	10.1%	3.1%	4.82	4.48	+0.2
Career	—	MLE		13	0	19	89	16	14	3	0%	1.4	17.9%	16.3%	1.6%	3.1%	1.45	5.37	-0.1
/ 200 IP	—	MLE		139	0	200	954	171	155	30	0%	1.4	17.9%	16.3%	1.6%	3.1%	1.45	5.37	-0.7

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
Andrew Huffman (OGILVIE)	—	—	4.82	22.7%	12.7%	3.0%	—	4.86	22.7%	10.1%	20	+0.04	—	—	—
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	85
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	84
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	83
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	82
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	81
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	81
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	81
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	81
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	81
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	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
Michael Ynoa R 2019 · 4.68 FIP	27	SU	4.68	23.1%	13.8%	3.3%	.281	—	—	—	—	—	3.30	142	81
Brian Sanches R 2006 · 5.30 FIP	27	SU	5.30	22.4%	10.2%	5.1%	.295	4.52	19.0%	10.1%	82	-0.78	3.39	229	81
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	80
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	80
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	80
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	80
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	80
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	80
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	80