Cody Laweryson

P Minnesota Twins

Age 29 RHP 6'4" / 205 lbs MLB peak 0.2 · 2027

Overview

MLBRPROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	AAMIN	27	33	6.82	2.49	21.7%	7.2%	—	K 17.6% · BB 8.0% · FIP 3.14
2025	27	MIX3 levels	39	52	2.61	2.40	24.9%	6.7%	1.3	K 20.6% · BB 7.3% · FIP 2.81
2026	28	MIX2 levels	23	26	5.61	4.89	22.0%	9.3%	-0.1	K 23.1% · BB 10.3% · FIP 4.55
2027PROJ	29	MLBMIN	38	40	4.20	4.22	22.5%	8.5%	0.2
2028PROJ79% MLB	30	MLBMIN	34	36	4.35	4.44	21.9%	8.8%	0.0
2029PROJ84% MLB	31	MLBMIN	30	32	4.53	4.66	21.3%	9.2%	-0.0

Last 3 seasons WAR 1.2 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%55

xwOBA vs34

FB Velo23

Career WAR0.0 WAR median (P10 -0.4 / P90 0.8, comp-based) · star 0% · didn't stick 95%

CompsTyler Sturdevant (age 29) · Neil Wagner (age 29) · Diego Moreno (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 113105vR 97

ERA4.20

FIP4.22

K%22.5%

BB%8.5%

K-BB%14.1%

Proj IP56

Value2027 · WAR

Runs saved vs league avg · 56 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p2392.6

Whiff%

p1520.3%

p5523.1%

xwOBA vs

p340.330

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)
2019	21	A MLE	Cedar Rapids Kernels	1	1	5	19	4	1	0	100%	5.0	21.1%	5.3%	15.8%	0.0%	0.00	1.99	—
2019	21	A RAW	Cedar Rapids Kernels	1	1	5	19	4	1	0	100%	5.0	21.1%	5.3%	15.8%	0.0%	0.00	2.10	—
2021	23	A+ MLE	Cedar Rapids Kernels	15	14	59	259	73	19	6	93%	3.9	21.7%	8.4%	13.3%	3.1%	4.91	4.06	—
2021	23	A+ RAW	Cedar Rapids Kernels	15	14	59	259	73	19	6	93%	3.9	28.2%	7.3%	20.8%	2.3%	4.91	2.91	—
2022	24	MIX MLE	2 levels	35	10	95	368	111	27	2	29%	2.7	24.0%	8.2%	15.7%	0.7%	1.62	2.48	—
2022	24	MIX RAW	2 levels	35	10	95	368	111	27	2	29%	2.7	30.2%	7.3%	22.8%	0.5%	1.62	1.89	—
2023	25	AAA MLE	St. Paul Saints	32	4	51	232	51	25	11	12%	1.6	18.9%	9.7%	9.2%	5.2%	4.80	5.57	—
2023	25	AAA RAW	St. Paul Saints	32	4	51	232	51	25	11	12%	1.6	22.0%	10.8%	11.2%	4.7%	4.80	5.39	—
2024	26	AA MLE	Wichita Wind Surge	27	0	33	152	33	11	1	0%	1.2	17.6%	8.0%	9.6%	0.9%	6.82	3.14	—
2024	26	AA MLE	Wichita Wind Surge	27	0	33	152	33	11	1	0%	1.2	17.6%	8.0%	9.6%	0.9%	6.82	3.14	—
2024	26	AA RAW	Wichita Wind Surge	27	0	33	152	33	11	1	0%	1.2	21.7%	7.2%	14.5%	0.7%	6.82	2.49	—
2025	27	MIX MLE	3 levels	39	0	52	209	52	14	2	0%	1.3	20.6%	7.3%	13.3%	1.0%	2.61	2.81	+1.1
2025	27	MIX MLE	3 levels	39	0	52	209	52	14	2	0%	1.3	20.6%	7.3%	13.3%	1.0%	2.61	2.81	+1.1
2025	27	MIX RAW	3 levels	39	0	52	209	52	14	2	0%	1.3	24.9%	6.7%	18.2%	1.0%	2.61	2.40	+1.3
2026	28	MIX MLE	2 levels	23	0	26	118	26	11	5	0%	1.1	23.1%	10.3%	12.8%	3.8%	5.61	4.55	-0.0
2026	28	MIX MLE	2 levels	23	0	26	118	26	11	5	0%	1.1	23.1%	10.3%	12.8%	3.8%	5.61	4.55	-0.0
2026	28	MIX RAW	2 levels	23	0	26	118	26	11	5	0%	1.1	22.0%	9.3%	12.7%	4.2%	5.61	4.89	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			20	0	24	104	25	8	3	0%	1.2	24.0%	7.7%	16.3%	2.9%	3.70	3.63	+0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	MIN	38	0	40	169	38	14	5	0%	1.1	22.5%	8.5%	14.1%	2.9%	4.20	4.22	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	MIN	43	0	45	190	42	17	6	0%	1.0	21.9%	8.8%	13.1%	3.1%	4.35	4.44	+0.1
2029	31	MLB MLE	MIN	36	0	38	159	34	15	5	0%	1.0	21.3%	9.2%	12.1%	3.3%	4.53	4.66	-0.0
2028	30	MLB CTX	MIN	34	0	36	152	33	13	5	0%	1.1	21.9%	8.8%	13.1%	3.1%	4.35	4.44	+0.0
2029	31	MLB CTX	MIN	30	0	32	135	29	12	4	0%	1.1	21.3%	9.2%	12.1%	3.3%	4.53	4.66	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		84	0	91	387	86	34	12	0%	1.1	22.3%	8.7%	13.6%	3.1%	4.24	4.02	+0.6
/ 200 IP	—	RAW		184	0	200	847	188	74	26	0%	1.1	22.3%	8.7%	13.6%	3.1%	4.24	4.02	+1.3
Career	—	MLE		172	29	319	1357	289	115	31	17%	1.9	21.3%	8.5%	12.8%	2.2%	3.72	3.61	+0.3
/ 200 IP	—	MLE		108	18	200	850	181	72	19	17%	1.9	21.3%	8.5%	12.8%	2.2%	3.72	3.61	+0.5

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 · 9 IPFIP 5.11 → 5.52 (+0.42)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	7.50%	—	×0.900	6.75%
HR / BF /BF	5.00%	÷1.000	×1.100	5.50%

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 5.11 → 5.52, 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).

2025 AAASt. Paul Saints · 25 IPFIP 3.34 → 3.37 (+0.03)K% 23.4% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.36%	—	×0.860	20.09%
BB% (unintentional) /BF	9.35%	—	×0.900	8.41%
HR / BF /BF	1.87%	÷1.253	×1.100	1.64%

Result: FIP 3.34 → 3.37, 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 AAWichita Wind Surge · 19 IPFIP 1.54 → 2.03 (+0.49)K% 26.3% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.32%	—	×0.810	21.32%
BB% (unintentional) /BF	5.26%	—	×1.100	5.79%
HR / BF /BF	0.00%	÷0.986	×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 97).

Result: FIP 1.54 → 2.03, 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 AAWichita Wind Surge · 33 IPFIP 2.54 → 3.14 (+0.59)K% 21.7% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.71%	—	×0.810	17.59%
BB% (unintentional) /BF	7.24%	—	×1.100	7.96%
HR / BF /BF	0.66%	÷0.845	×1.200	0.93%

Result: FIP 2.54 → 3.14, 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 · 51 IPFIP 5.21 → 5.57 (+0.36)K% 22.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.98%	—	×0.860	18.91%
BB% (unintentional) /BF	10.78%	—	×0.900	9.70%
HR / BF /BF	4.74%	÷1.009	×1.100	5.17%

Result: FIP 5.21 → 5.57, 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).

2022 AAWichita Wind Surge · 60 IPFIP 1.84 → 2.53 (+0.68)K% 30.7% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.67%	—	×0.810	24.84%
BB% (unintentional) /BF	6.67%	—	×1.100	7.33%
HR / BF /BF	0.89%	÷0.985	×1.200	1.08%

Result: FIP 1.84 → 2.53, 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 A+Cedar Rapids Kernels · 35 IPFIP 1.68 → 2.41 (+0.73)K% 29.4% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.37%	—	×0.770	22.62%
BB% (unintentional) /BF	8.39%	—	×1.150	9.65%
HR / BF /BF	0.00%	÷0.948	×1.250	0.00%

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 90).

Result: FIP 1.68 → 2.41, 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 · 59 IPFIP 2.92 → 4.06 (+1.14)K% 28.2% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.19%	—	×0.770	21.70%
BB% (unintentional) /BF	7.34%	—	×1.150	8.44%
HR / BF /BF	2.32%	÷0.920	×1.250	3.15%

Result: FIP 2.92 → 4.06, 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
Cody Laweryson (OGILVIE)	—	—	—	—	—	2.9%	—	4.54	21.6%	12.6%	83	+0.32	—	—	—
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	82
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	81
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	81
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	79
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	79
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	78
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	77
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	77
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	77
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	77
Erik Davis R 2016 · 3.05 FIP	29	SU	3.05	24.4%	9.5%	1.5%	.329	3.88	19.8%	9.8%	129	+0.83	3.05	227	76
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	76
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	76
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	76
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	75
Mike Fyhrie R 2000 · 3.08 FIP	30	SU	3.08	19.5%	5.0%	1.8%	.309	3.87	13.7%	4.4%	69	+0.79	3.08	173	75
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	75
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	75
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	74
Evan Scribner R 2013 · 4.06 FIP	28	SU	4.06	16.7%	6.1%	2.9%	.271	4.59	26.9%	25.2%	60	+0.53	3.23	136	74

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	0.8	54	22.3%	8.6%	1.17	4.24
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*