Will Klein

P Los Angeles Dodgers

Age 27 RHP 6'5" / 230 lbs MLB peak 0.3 · 2028 ILInjured 60-Day (D60)

Overview

MLBRPIL-6040-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	46	0	50	4.83	4.67	21.7%	16.5%	-0.1	K 19.3% · BB 15.0% · FIP 4.94
2025	25	MIX2 levels	56	0	59	5.16	2.98	34.9%	16.2%	1.1	K 31.1% · BB 14.9% · FIP 3.28
2026	26	MLBLAD	36	3	42	3.67	3.05	25.9%	10.1%	0.7
2027PROJ	27	MLBLAD	20	0	21	3.69	3.67	29.9%	12.1%	0.2
2028PROJ86% MLB	28	MLBLAD	34	0	36	3.80	3.82	29.1%	12.0%	0.3
2029PROJ89% MLB	29	MLBLAD	30	0	32	3.95	4.02	28.1%	12.0%	0.2

Last 3 seasons WAR 1.8 · Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo90

xwOBA vs74

K%70

CompsJon Edwards (age 27) · Kaleb Ort (age 27) · Kiko Calero (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9890vR 82

ERA3.69

FIP3.67

K%29.9%

BB%12.1%

K-BB%17.8%

Proj IP26

Value2027 · WAR

Runs saved vs league avg · 26 IP

Grades · Statcast · Contract

Scouting Grades

STUF7070

CTRL2525

CMD6060

K†6565

Statcast Percentiles

FB Velo

p9097.5

Whiff%

p4023.9%

p7025.9%

xwOBA vs

p740.289

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)
2021	21	A+ MLE	Quad Cities River Bandits	36	0	70	296	121	44	4	0%	2.0	31.5%	17.1%	14.4%	1.7%	3.20	3.52	—
2021	21	A+ RAW	Quad Cities River Bandits	36	0	70	296	121	44	4	0%	2.0	40.9%	14.9%	26.0%	1.4%	3.20	2.28	—
2022	22	AA MLE	Northwest Arkansas Naturals	30	3	44	232	55	51	6	10%	1.5	19.2%	24.2%	-5.0%	3.4%	10.51	6.42	—
2022	22	AA RAW	Northwest Arkansas Naturals	30	3	44	232	55	51	6	10%	1.5	23.7%	22.0%	1.7%	2.6%	10.51	5.87	—
2023	23	MIX MLE	2 levels	49	1	64	305	93	39	4	2%	1.3	25.5%	12.4%	13.1%	1.6%	4.62	3.40	—
2023	23	MIX RAW	2 levels	49	1	64	305	93	39	4	2%	1.3	30.5%	12.8%	17.7%	1.3%	4.62	2.84	—
2024	24	MIX MLE	2 levels	46	0	50	230	50	38	5	0%	1.1	19.3%	15.0%	4.3%	2.9%	4.83	4.94	-0.2
2024	24	MIX MLE	2 levels	46	0	50	230	50	38	5	0%	1.1	19.3%	15.0%	4.3%	2.9%	4.83	4.94	-0.2
2024	24	MIX RAW	2 levels	46	0	50	230	50	38	5	0%	1.1	21.7%	16.5%	5.2%	2.2%	4.83	4.67	-0.1
2025	25	MIX MLE	2 levels	56	0	59	278	97	45	4	0%	1.1	31.1%	14.9%	16.1%	1.7%	5.16	3.28	+0.9
2025	25	MIX MLE	2 levels	56	0	59	278	97	45	4	0%	1.1	31.1%	14.9%	16.1%	1.7%	5.16	3.28	+0.9
2025	25	MIX RAW	2 levels	56	0	59	278	97	45	4	0%	1.1	34.9%	16.2%	18.7%	1.4%	5.16	2.98	+1.1
2026	26	MLB MLE	Los Angeles Dodgers	36	3	42	189	49	19	3	8%	1.2	25.9%	10.1%	15.9%	1.5%	3.67	3.02	+0.8
2026	26	MLB MLE	Los Angeles Dodgers	36	3	42	189	49	19	3	8%	1.2	25.9%	10.1%	15.9%	1.5%	3.67	3.02	+0.8
2026	26	MLB RAW	Los Angeles Dodgers	36	3	42	189	49	19	3	8%	1.2	25.9%	10.1%	15.9%	1.6%	3.67	3.05	+0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			58	3	64	297	77	35	3	5%	1.1	25.9%	11.8%	14.1%	1.0%	4.20	2.94	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	LAD	20	0	21	89	27	11	2	0%	1.1	29.9%	12.1%	17.8%	2.2%	3.69	3.67	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	LAD	40	0	42	178	52	21	4	0%	1.1	29.1%	12.0%	17.2%	2.3%	3.80	3.82	+0.4
2029	29	MLB MLE	LAD	35	0	36	154	43	18	4	0%	1.0	28.1%	12.0%	16.1%	2.5%	3.95	4.02	+0.2
2028	28	MLB CTX	LAD	34	0	36	152	44	18	4	0%	1.1	29.1%	12.0%	17.2%	2.3%	3.80	3.82	+0.3
2029	29	MLB CTX	LAD	30	0	32	135	38	16	3	0%	1.1	28.1%	12.0%	16.1%	2.5%	3.95	4.02	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		123	3	133	587	160	70	10	2%	1.1	27.3%	11.9%	15.4%	1.7%	4.03	3.24	+2.1
/ 200 IP	—	RAW		186	5	200	883	241	105	15	2%	1.1	27.3%	11.9%	15.4%	1.7%	4.03	3.24	+3.1
Career	—	MLE		253	7	330	1530	395	240	32	3%	1.3	25.8%	15.7%	10.2%	2.1%	5.11	4.04	+1.8
/ 200 IP	—	MLE		153	4	200	928	240	145	19	3%	1.3	25.8%	15.7%	10.2%	2.1%	5.11	4.04	+2.6

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 AAAOklahoma City Comets · 44 IPFIP 3.20 → 3.58 (+0.38)K% 36.5% → 31.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.54%	—	×0.860	31.42%
BB% (unintentional) /BF	16.83%	—	×0.900	15.14%
HR / BF /BF	1.92%	÷0.956	×1.100	2.21%

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 91).

Result: FIP 3.20 → 3.58, 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 AAALas Vegas Aviators · 43 IPFIP 4.75 → 4.94 (+0.19)K% 22.4% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.40%	—	×0.860	19.26%
BB% (unintentional) /BF	16.67%	—	×0.900	15.00%
HR / BF /BF	2.60%	÷1.001	×1.100	2.86%

Result: FIP 4.75 → 4.94, 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 AAAOmaha Storm Chasers · 35 IPFIP 3.49 → 3.80 (+0.31)K% 28.2% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.16%	—	×0.860	24.22%
BB% (unintentional) /BF	14.37%	—	×0.900	12.93%
HR / BF /BF	1.72%	÷0.942	×1.100	2.01%

Result: FIP 3.49 → 3.80, 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).

2023 AANorthwest Arkansas Naturals · 29 IPFIP 2.04 → 2.87 (+0.83)K% 33.6% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.59%	—	×0.810	27.21%
BB% (unintentional) /BF	10.69%	—	×1.100	11.76%
HR / BF /BF	0.76%	÷0.872	×1.200	1.05%

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 74).

Result: FIP 2.04 → 2.87, 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 AANorthwest Arkansas Naturals · 44 IPFIP 5.30 → 6.42 (+1.12)K% 23.7% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.71%	—	×0.810	19.20%
BB% (unintentional) /BF	21.98%	—	×1.100	24.18%
HR / BF /BF	2.59%	÷0.905	×1.200	3.43%

Result: FIP 5.30 → 6.42, 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+Quad Cities River Bandits · 70 IPFIP 2.27 → 3.52 (+1.25)K% 40.9% → 31.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.88%	—	×0.770	31.48%
BB% (unintentional) /BF	14.86%	—	×1.150	17.09%
HR / BF /BF	1.35%	÷1.013	×1.250	1.67%

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 103).

Result: FIP 2.27 → 3.52, 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
Will Klein (OGILVIE)	—	—	3.67	29.9%	12.1%	2.2%	—	3.91	28.6%	16.7%	78	+0.24	—	—	—
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	82
Kaleb Ort R 2019 · 2.88 FIP	27	SU	2.88	30.1%	14.0%	1.0%	.369	3.12	25.5%	15.8%	114	+0.24	1.75	423	79
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	79
Jake Barrett R 2018 · 3.31 FIP	27	SU	3.31	26.1%	13.0%	1.4%	.266	1.48	29.8%	22.7%	15	-1.83	1.48	230	78
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	78
Robert Coello R 2013 · 2.56 FIP	28	SU	2.56	31.5%	11.0%	1.3%	.317	4.31	13.4%	2.8%	95	+1.75	2.56	112	78
Tyler Kinley R 2018 · 3.36 FIP	27	SU	3.36	27.2%	11.8%	1.9%	.331	4.14	23.5%	11.8%	159	+0.78	1.58	602	78
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	77
Leonel Campos R 2015 · 2.62 FIP	28	SU	2.62	30.1%	11.1%	1.2%	.259	3.63	25.2%	12.2%	118	+1.01	2.62	168	77
Jordan Jankowski R 2016 · 2.95 FIP	27	SU	2.95	30.3%	9.8%	2.1%	.296	4.23	23.4%	8.8%	62	+1.28	2.57	196	77
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	76
Collin Baumgartner R 2024 · 2.99 FIP	25	SU	2.99	26.1%	11.5%	1.2%	.280	4.13	22.6%	8.4%	77	+1.14	2.99	134	76
Maikel Cleto R 2016 · 3.44 FIP	27	SU	3.44	27.9%	9.9%	2.6%	.301	3.61	23.6%	14.3%	70	+0.17	2.59	185	76
Nate Jones R 2013 · 2.58 FIP	27	SU	2.58	28.3%	7.9%	1.6%	.327	3.03	31.0%	25.7%	90	+0.45	2.57	307	76
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	76
Chris Smith R 2016 · 2.58 FIP	27	SU	2.58	25.8%	9.7%	0.8%	.300	4.25	20.5%	13.4%	89	+1.67	2.17	199	75
Matt Carasiti R 2017 · 2.80 FIP	26	SU	2.80	27.6%	11.1%	1.1%	.379	4.01	18.6%	8.6%	43	+1.21	2.80	312	75
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	75
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	75
Alex Powers R 2019 · 2.88 FIP	27	SU	2.88	27.9%	9.1%	1.8%	.272	4.24	25.0%	14.7%	48	+1.36	2.82	264	75

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	0.9	43	27.8%	12.2%	0.71	3.96
Chaz Roe ('21)	1.1	43	26.4%	11.1%	0.79	3.89
Chad Fox ('09)	1.1	57	25.8%	13.2%	0.87	3.79
Antonio Bastardo ('17)	2.0	56	28.0%	11.4%	1.01	4.01
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Mike Stanton ('75-'85, 0 WAR*)	1.9	64	27.8%*	10.8%*	0.80*	4.82*
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*