Levi Stoudt

P Reading Fightin Phils

Age 29 RHP 6'1" / 195 lbs AA peak 0.1 · 2027

Overview

AASPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	34	11	85	5.72	6.15	19.1%	11.5%	—	K 16.1% · BB 10.8% · FIP 6.41
2025	27	MIX2 levels	21	0	29	6.14	4.87	16.5%	11.0%	—	K 13.2% · BB 11.4% · FIP 5.15
2026	28	MIX2 levels	17	2	23	0.00	2.13	27.1%	9.4%	—	K 27.1% · BB 9.4% · FIP 2.01
2027PROJ	29	MLBPHI	—	—	0	5.24	5.24	16.6%	10.5%	—
2028PROJ31% MLB	30	MLBPHI	7	0	7	5.28	5.36	16.6%	10.7%	-0.1

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

Contract

No contract data on file.

Skills · percentileStatcast 2023

FB Velo48

xwOBA vs20

K%10

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsRamon Delgado (age 29) · Carlos Frías (age 29) · Jared Fernandez (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 116

ERA5.24

FIP5.24

K%16.6%

BB%10.5%

K-BB%6.1%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Statcast · Contract

Scouting Grades

K†4040

Statcast Percentiles

FB Velo

p4894.4

Whiff%

p2321.5%

p1016.4%

xwOBA vs

p200.348

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	23	MIX MLE	2 levels	15	15	82	337	86	37	8	100%	5.4	19.9%	12.5%	7.4%	2.9%	3.31	4.58	—
2021	23	MIX RAW	2 levels	15	15	82	337	86	37	8	100%	5.4	25.5%	11.0%	14.5%	2.4%	3.31	3.63	—
2022	24	MIX MLE	2 levels	25	25	111	471	103	32	13	100%	4.4	17.9%	7.4%	10.6%	3.3%	4.70	4.35	—
2022	24	MIX RAW	2 levels	25	25	111	471	103	32	13	100%	4.4	21.9%	6.8%	15.1%	2.8%	4.70	3.63	—
2023	25	MIX MLE	2 levels	29	21	93	439	67	58	21	72%	3.2	13.4%	12.1%	1.3%	5.0%	6.60	6.22	-0.9
2023	25	MIX RAW	2 levels	29	21	93	439	67	58	21	72%	3.2	15.3%	13.2%	2.1%	4.8%	6.60	6.48	-1.1
2024	26	MIX MLE	2 levels	34	11	85	382	73	44	21	32%	2.5	16.1%	10.8%	5.4%	6.0%	5.72	6.41	—
2024	26	MIX MLE	2 levels	34	11	85	382	73	44	21	32%	2.5	16.1%	10.8%	5.4%	6.0%	5.72	6.41	—
2024	26	MIX RAW	2 levels	34	11	85	382	73	44	21	32%	2.5	19.1%	11.5%	7.6%	5.5%	5.72	6.15	—
2025	27	MIX MLE	2 levels	21	0	29	127	21	14	4	0%	1.4	13.2%	11.4%	1.8%	3.1%	6.14	5.15	—
2025	27	MIX MLE	2 levels	21	0	29	127	21	14	4	0%	1.4	13.2%	11.4%	1.8%	3.1%	6.14	5.15	—
2025	27	MIX RAW	2 levels	21	0	29	127	21	14	4	0%	1.4	16.5%	11.0%	5.5%	3.1%	6.14	4.87	—
2026	28	MIX MLE	2 levels	17	2	23	85	23	8	0	12%	1.3	27.1%	9.4%	17.6%	0.0%	0.00	2.01	—
2026	28	MIX MLE	2 levels	17	2	23	85	23	8	0	12%	1.3	27.1%	9.4%	17.6%	0.0%	0.00	2.01	—
2026	28	MIX RAW	2 levels	17	2	23	85	23	8	0	12%	1.3	27.1%	9.4%	17.6%	0.0%	0.00	2.13	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	2	10	55	9	8	1	50%	2.6	16.4%	14.5%	1.8%	1.8%	9.58	4.94	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	PHI	—	—	0	—	—	—	—	—	—	16.6%	10.5%	6.1%	3.3%	5.24	5.24	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	PHI	21	0	22	92	15	10	3	0%	1.0	16.6%	10.7%	5.9%	3.5%	5.28	5.36	-0.2
2028	30	MLB CTX	PHI	7	0	7	30	5	3	1	0%	1.0	16.6%	10.7%	5.9%	3.5%	5.28	5.36	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	2	17	84	14	11	2	20%	1.7	16.4%	13.2%	3.2%	2.4%	7.87	4.70	-0.0
/ 200 IP	—	RAW		122	23	200	977	163	128	23	19%	1.6	16.4%	13.2%	3.2%	2.4%	7.87	4.70	-0.4
Career	—	MLE		141	74	422	1841	312	193	74	52%	3.0	16.9%	10.5%	6.4%	4.0%	4.90	5.21	+0.1
/ 200 IP	—	MLE		67	35	200	872	148	92	35	52%	3.0	16.9%	10.5%	6.4%	4.0%	4.90	5.21	+0.4

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 AAReading Fightin Phils · 12 IPFIP 2.82 → 3.44 (+0.61)K% 26.1% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.810	21.13%
BB% (unintentional) /BF	15.22%	—	×1.100	16.74%
HR / BF /BF	0.00%	÷1.000	×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 100).

Result: FIP 2.82 → 3.44, 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).

2026 AAALehigh Valley IronPigs · 11 IPFIP 1.04 → 1.34 (+0.30)K% 28.2% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.21%	—	×0.860	24.26%
BB% (unintentional) /BF	2.56%	—	×0.900	2.31%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 1.04 → 1.34, 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 AAANorfolk Tides · 25 IPFIP 4.89 → 5.15 (+0.26)K% 15.3% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.32%	—	×0.860	13.17%
BB% (unintentional) /BF	12.61%	—	×0.900	11.35%
HR / BF /BF	2.70%	÷0.945	×1.100	3.15%

Result: FIP 4.89 → 5.15, 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 AAANorfolk Tides · 65 IPFIP 6.88 → 7.32 (+0.43)K% 17.2% → 14.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.17%	—	×0.860	14.77%
BB% (unintentional) /BF	12.12%	—	×0.900	10.91%
HR / BF /BF	6.73%	÷0.996	×1.100	7.44%

Result: FIP 6.88 → 7.32, 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 AABowie Baysox · 20 IPFIP 2.75 → 3.26 (+0.51)K% 25.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.88%	—	×0.810	20.96%
BB% (unintentional) /BF	9.41%	—	×1.100	10.35%
HR / BF /BF	1.18%	÷1.249	×1.200	1.13%

Result: FIP 2.75 → 3.26, 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 AAALouisville Bats · 82 IPFIP 6.33 → 6.47 (+0.14)K% 15.1% → 13.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.10%	—	×0.860	12.99%
BB% (unintentional) /BF	13.02%	—	×0.900	11.72%
HR / BF /BF	5.21%	÷1.054	×1.100	5.44%

Result: FIP 6.33 → 6.47, 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 AAChattanooga Lookouts · 92 IPFIP 3.74 → 4.56 (+0.82)K% 22.6% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.62%	—	×0.810	18.32%
BB% (unintentional) /BF	5.66%	—	×1.100	6.22%
HR / BF /BF	3.34%	÷0.990	×1.200	4.05%

Result: FIP 3.74 → 4.56, 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 AAALouisville Bats · 19 IPFIP 3.10 → 3.36 (+0.26)K% 18.3% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.29%	—	×0.880	16.10%
BB% (unintentional) /BF	12.20%	—	×1.050	12.80%
HR / BF /BF	0.00%	÷1.282	×1.100	0.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 156).

Result: FIP 3.10 → 3.36, 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
Levi Stoudt (OGILVIE)	—	—	5.24	16.6%	10.5%	3.3%	—	5.36	16.6%	5.9%	22	+0.12	—	—	—
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	75
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.40	236	74
Jared Fernandez R 2001 · 4.66 FIP	29	SW	4.66	8.8%	10.5%	1.8%	.267	3.95	14.0%	5.6%	89	-0.71	3.57	101	73
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	72
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	72
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	72
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	72
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	71
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	70
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	70
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	69
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	68
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	68
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	68
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	345	66
Aldo Montes R 2019 · 4.69 FIP	29	SW	4.69	18.2%	10.6%	3.3%	.336	—	—	—	—	—	4.69	210	66
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	66
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	242	66
David Holman R 2019 · 5.80 FIP	29	SW	5.80	8.9%	10.7%	3.8%	.351	—	—	—	—	—	5.28	129	65
Lindsey Caughel R 2018 · 5.12 FIP	27	SW	5.12	13.3%	8.3%	3.8%	.301	—	—	—	—	—	4.49	187	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	0.3	28	16.5%	11.5%	1.19	6.07
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Will Cunnane ('04)	1.4	46	18.9%	10.4%	1.25	5.26
Denny Bautista ('10)	1.1	45	17.3%	12.7%	0.85	5.89
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*