Kody Funderburk

P Minnesota Twins

Age 30 LHP 6'4" / 230 lbs MLB peak 0.2 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	38	48	6.38	3.52	24.4%	9.5%	0.6	K 23.0% · BB 9.2% · FIP 3.58
2025	28	MIX2 levels	58	66	2.85	3.10	22.6%	9.1%	1.1	K 21.4% · BB 8.7% · FIP 3.11
2026	29	MIX2 levels	69	63	4.29	3.54	22.3%	10.4%	0.8	K 21.6% · BB 10.3% · FIP 3.60
2027PROJ	30	MLBMIN	43	45	4.28	4.31	20.6%	10.4%	0.1
2028PROJ95% MLB	31	MLBMIN	27	28	4.44	4.54	19.8%	10.8%	0.0
2029PROJ95% MLB	32	MLBMIN	17	18	4.65	4.80	19.0%	11.2%	-0.1

Last 3 seasons WAR 2.5 · Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs64

K%50

FB Velo27

Form3.98 ERA (proj 4.28) · K 32.6% (proj 20.6%) · BB 7.9% (proj 10.4%) ▲▲ last 90d · 20 IP through Oct 27

CompsRaul Valdes (age 32) · Andrew Barbosa (age 29) · Jack Taschner (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 92100vR 108

ERA4.28

FIP4.31

K%20.6%

BB%10.4%

K-BB%10.2%

Proj IP46

Value2027 · WAR

Runs saved vs league avg · 46 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4545

K†5050

Statcast Percentiles

FB Velo

p2792.9

Whiff%

p3322.9%

p5022.1%

xwOBA vs

p640.298

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)
2018	21	ROK MLE	Elizabethton Twins	10	9	35	159	32	15	2	90%	3.5	13.7%	11.8%	1.9%	1.8%	4.93	4.40	—
2018	21	ROK RAW	Elizabethton Twins	10	9	35	159	32	15	2	90%	3.5	20.1%	9.4%	10.7%	1.3%	4.93	3.30	—
2019	22	MIX MLE	2 levels	13	10	53	236	57	26	1	77%	4.1	18.3%	13.2%	5.0%	0.6%	4.39	3.56	—
2019	22	MIX RAW	2 levels	13	10	53	236	57	26	1	77%	4.1	24.2%	11.0%	13.1%	0.4%	4.39	2.67	—
2021	24	MIX MLE	2 levels	18	10	67	277	82	28	2	56%	3.7	23.1%	11.5%	11.6%	0.9%	2.55	3.09	—
2021	24	MIX RAW	2 levels	18	10	67	277	82	28	2	56%	3.7	29.6%	10.1%	19.5%	0.7%	2.55	2.29	—
2022	25	AA MLE	Wichita Wind Surge	32	17	107	459	103	44	8	53%	3.3	18.2%	10.5%	7.6%	2.1%	2.94	4.07	—
2022	25	AA RAW	Wichita Wind Surge	32	17	107	459	103	44	8	53%	3.3	22.4%	9.6%	12.9%	1.7%	2.94	3.38	—
2023	26	MIX MLE	3 levels	53	2	73	297	108	32	2	4%	1.4	30.7%	9.0%	21.7%	0.5%	2.10	1.93	+2.3
2023	26	MIX RAW	3 levels	53	2	73	297	108	32	2	4%	1.4	36.4%	10.8%	25.6%	0.7%	2.10	1.81	+2.4
2024	27	MIX MLE	2 levels	38	0	48	221	54	21	5	0%	1.3	23.0%	9.2%	13.8%	2.3%	6.38	3.58	+0.6
2024	27	MIX MLE	2 levels	38	0	48	221	54	21	5	0%	1.3	23.0%	9.2%	13.8%	2.3%	6.38	3.58	+0.6
2024	27	MIX RAW	2 levels	38	0	48	221	54	21	5	0%	1.3	24.4%	9.5%	14.9%	2.3%	6.38	3.52	+0.6
2025	28	MIX MLE	2 levels	58	0	66	287	65	26	4	0%	1.1	21.4%	8.7%	12.7%	1.3%	2.85	3.11	+1.1
2025	28	MIX MLE	2 levels	58	0	66	287	65	26	4	0%	1.1	21.4%	8.7%	12.7%	1.3%	2.85	3.11	+1.1
2025	28	MIX RAW	2 levels	58	0	66	287	65	26	4	0%	1.1	22.6%	9.1%	13.6%	1.4%	2.85	3.10	+1.1
2026	29	MIX MLE	2 levels	69	0	63	278	62	29	5	0%	0.9	21.6%	10.3%	11.3%	1.9%	4.29	3.60	+0.7
2026	29	MIX MLE	2 levels	69	0	63	278	62	29	5	0%	0.9	21.6%	10.3%	11.3%	1.9%	4.29	3.60	+0.7
2026	29	MIX RAW	2 levels	69	0	63	278	62	29	5	0%	0.9	22.3%	10.4%	11.9%	1.8%	4.29	3.54	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			135	0	139	613	140	63	10	0%	1.0	22.8%	10.3%	12.6%	1.6%	4.09	3.38	+1.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	MIN	43	0	45	190	39	20	4	0%	1.0	20.6%	10.4%	10.2%	2.3%	4.28	4.31	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	MIN	29	0	30	127	25	14	3	0%	1.0	19.8%	10.8%	9.0%	2.5%	4.44	4.54	+0.0
2029	32	MLB MLE	MIN	18	0	19	81	15	9	2	0%	1.1	19.0%	11.2%	7.8%	2.7%	4.65	4.80	-0.1
2028	31	MLB CTX	MIN	27	0	28	118	23	13	3	0%	1.0	19.8%	10.8%	9.0%	2.5%	4.44	4.54	+0.0
2029	32	MLB CTX	MIN	17	0	18	76	14	8	2	0%	1.1	19.0%	11.2%	7.8%	2.7%	4.65	4.80	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		179	0	185	810	178	84	15	0%	1.0	22.0%	10.4%	11.6%	1.9%	4.20	3.59	+2.1
/ 200 IP	—	RAW		194	0	200	874	192	91	16	0%	1.0	22.0%	10.4%	11.6%	1.9%	4.20	3.59	+2.3
Career	—	MLE		291	48	512	2214	476	231	32	16%	1.8	21.5%	10.4%	11.1%	1.4%	3.53	3.40	+1.9
/ 200 IP	—	MLE		114	19	200	864	186	90	12	16%	1.8	21.5%	10.4%	11.1%	1.4%	3.53	3.40	+2.0

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.

2026 AAASt. Paul Saints · 12 IPFIP 3.78 → 4.18 (+0.40)K% 23.2% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.21%	—	×0.860	19.96%
BB% (unintentional) /BF	5.36%	—	×0.900	4.82%
HR / BF /BF	3.57%	÷1.000	×1.100	3.93%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.78 → 4.18, 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 AAASt. Paul Saints · 25 IPFIP 3.22 → 3.27 (+0.05)K% 24.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.04%	—	×0.860	20.67%
BB% (unintentional) /BF	8.65%	—	×0.900	7.79%
HR / BF /BF	1.92%	÷1.253	×1.100	1.69%

Result: FIP 3.22 → 3.27, 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 AAASt. Paul Saints · 13 IPFIP 2.19 → 2.55 (+0.36)K% 36.7% → 31.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.67%	—	×0.860	31.53%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	1.67%	÷1.039	×1.100	1.76%

Result: FIP 2.19 → 2.55, 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).

2023 AAASt. Paul Saints · 52 IPFIP 1.61 → 1.93 (+0.32)K% 35.7% → 30.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.860	30.71%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	0.48%	÷1.009	×1.100	0.52%

Result: FIP 1.61 → 1.93, 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).

2023 AAWichita Wind Surge · 9 IPFIP 2.04 → 2.80 (+0.75)K% 35.0% → 28.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.00%	—	×0.810	28.35%
BB% (unintentional) /BF	15.00%	—	×1.100	16.50%
HR / BF /BF	0.00%	÷1.231	×1.200	0.00%

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 146).

Result: FIP 2.04 → 2.80, 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).

2022 AAWichita Wind Surge · 107 IPFIP 3.38 → 4.07 (+0.69)K% 22.4% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.44%	—	×0.810	18.18%
BB% (unintentional) /BF	9.59%	—	×1.100	10.54%
HR / BF /BF	1.74%	÷0.985	×1.200	2.12%

Result: FIP 3.38 → 4.07, 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).

2021 A+Cedar Rapids Kernels · 45 IPFIP 2.18 → 3.08 (+0.91)K% 30.7% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.73%	—	×0.770	23.66%
BB% (unintentional) /BF	10.94%	—	×1.150	12.58%
HR / BF /BF	0.52%	÷0.920	×1.250	0.71%

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 84).

Result: FIP 2.18 → 3.08, 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).

2021 AAWichita Wind Surge · 22 IPFIP 2.50 → 3.10 (+0.59)K% 27.1% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.06%	—	×0.810	21.92%
BB% (unintentional) /BF	8.24%	—	×1.100	9.06%
HR / BF /BF	1.18%	÷1.104	×1.200	1.28%

Result: FIP 2.50 → 3.10, 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
Kody Funderburk (OGILVIE)	—	—	4.31	20.6%	10.4%	2.3%	—	4.64	19.5%	8.6%	49	+0.33	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	75
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	71
Jack Taschner L 2008 · 4.09 FIP	30	SU	4.09	17.2%	9.7%	2.2%	.323	4.73	15.2%	3.0%	49	+0.64	3.14	189	71
Doug Slaten L 2010 · 3.22 FIP	30	SU	3.22	20.7%	9.8%	1.1%	.269	4.85	13.5%	3.1%	29	+1.63	3.22	139	70
Matt Thornton L 2007 · 3.13 FIP	30	SU	3.13	22.1%	8.0%	1.6%	.324	2.19	30.7%	24.4%	200	-0.94	1.71	663	70
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	69
Brian Tallet L 2008 · 3.36 FIP	30	SU	3.36	19.6%	7.9%	1.7%	.282	5.06	16.0%	6.3%	251	+1.70	2.59	443	68
Arturo Barradas L 2017 · 3.42 FIP	29	SU	3.42	18.1%	7.0%	1.8%	.288	3.24	16.1%	9.5%	34	-0.18	3.24	163	68
Nick Hagadone L 2015 · 3.65 FIP	29	SU	3.65	22.6%	8.9%	2.4%	.329	3.74	22.6%	13.3%	33	+0.09	2.97	141	67
Armando Almanza L 2003 · 4.95 FIP	30	SU	4.95	21.3%	10.0%	4.3%	.331	5.29	24.1%	14.8%	12	+0.34	2.90	211	67
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	67
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	67
Aaron Fultz L 2004 · 4.16 FIP	30	SU	4.16	17.1%	9.7%	2.3%	.294	3.54	18.9%	11.5%	181	-0.62	3.46	480	67
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	66
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	66
Dan Jennings L 2017 · 4.32 FIP	30	SU	4.32	19.1%	9.0%	3.1%	.245	3.88	16.6%	8.5%	64	-0.44	2.60	344	66
Tommy Phelps L 2004 · 4.80 FIP	30	SW	4.80	19.4%	8.3%	4.2%	.286	3.98	13.2%	5.7%	23	-0.82	3.39	120	66
John Grabow L 2009 · 3.93 FIP	30	SU	3.93	18.2%	11.8%	1.6%	.265	5.00	14.2%	5.2%	88	+1.07	3.66	471	66
Kelly Wunsch L 2002 · 4.60 FIP	30	SU	4.60	15.9%	13.0%	2.2%	.242	3.54	20.8%	8.3%	60	-1.06	3.36	175	66
Tom Martin L 2000 · 4.16 FIP	30	SU	4.16	14.7%	9.1%	2.1%	.274	4.29	21.8%	12.3%	68	+0.12	3.40	303	65

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	1.2	39	21.7%	10.6%	0.76	4.22
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
George Sherrill ('12)	1.6	46	22.9%	11.0%	0.80	3.77
Mark Dewey ('90-'96, 3 WAR*)	1.2	42	18.7%*	9.6%*	0.80*	3.89*
Cory Gearrin ('20)	1.5	51	22.0%	10.2%	0.68	3.61
Jason Christiansen ('05)	2.2	43	20.1%	11.4%	0.77	4.30
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*