Cody Poteet

P Norfolk Tides

Age 33 RHP 6'1" / 190 lbs AAA peak 0.7 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	29	AAAKC	1	1	2	0.00	3.60	16.7%	16.7%	—	K 16.7% · BB 16.7% · FIP 3.80
2024	30	MIX3 levels	18	17	77	3.03	3.24	24.5%	7.7%	2.0	K 21.1% · BB 7.8% · FIP 3.73
2025	31	MIX2 levels	7	0	13	10.66	4.21	24.2%	9.7%	0.1	K 24.2% · BB 9.7% · FIP 4.05
2026	32	No MLB games played
2027PROJ	33	MLBBAL	1	1	6	4.48	4.56	22.1%	9.7%	0.1
2028PROJ6% MLB	34	MLBBAL	1	1	3	4.68	4.84	21.4%	10.2%	0.0
2029PROJMLE	35	MLBBAL	—	—	0	4.94	5.14	20.6%	10.7%	—

Last 3 seasons WAR 2.1 · Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo33

xwOBA vs24

K%12

CompsJuan Delgadillo (age 32) · Manuel Flores (age 33) · Logan Duran (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.48

FIP4.56

K%22.1%

BB%9.7%

K-BB%12.4%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4040

K†5555

Statcast Percentiles

FB Velo

p3393.3

Whiff%

p1015.7%

p1216.7%

xwOBA vs

p240.343

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)
2016	22	A MLE	Greensboro Grasshoppers	24	24	117	507	106	44	5	100%	4.9	15.5%	10.2%	5.2%	0.9%	2.91	3.60	—
2016	22	A RAW	Greensboro Grasshoppers	24	24	117	507	106	44	5	100%	4.9	20.9%	8.7%	12.2%	1.0%	2.91	2.97	—
2017	23	MIX MLE	2 levels	20	18	94	397	52	24	2	90%	4.7	9.8%	7.0%	2.8%	0.7%	4.02	3.52	—
2017	23	MIX RAW	2 levels	20	18	94	397	52	24	2	90%	4.7	13.1%	6.0%	7.1%	0.5%	4.02	3.04	—
2018	24	MIX MLE	2 levels	26	25	145	622	128	46	17	96%	5.6	16.5%	8.2%	8.3%	3.3%	4.98	4.53	—
2018	24	MIX RAW	2 levels	26	25	145	622	128	46	17	96%	5.6	20.6%	7.4%	13.2%	2.7%	4.98	3.81	—
2019	25	MIX MLE	2 levels	23	23	136	554	92	38	16	100%	5.9	13.9%	7.4%	6.5%	3.1%	3.56	4.54	—
2019	25	MIX RAW	2 levels	23	23	136	554	92	38	16	100%	5.9	16.6%	6.9%	9.7%	2.9%	3.56	4.11	—
2021	27	MIX MLE	2 levels	9	9	39	164	44	19	8	100%	4.3	24.2%	12.1%	12.1%	5.6%	4.66	5.65	-0.1
2021	27	MIX RAW	2 levels	9	9	39	164	44	19	8	100%	4.3	26.8%	11.6%	15.2%	4.9%	4.66	4.99	+0.2
2022	28	MIX MLE	3 levels	15	5	35	140	31	12	4	33%	2.3	18.4%	9.6%	8.8%	3.7%	3.12	4.79	-0.1
2022	28	MIX RAW	3 levels	15	5	35	140	31	12	4	33%	2.3	22.1%	8.6%	13.6%	2.9%	3.12	3.85	+0.3
2023	29	AAA MLE	Omaha Storm Chasers	1	1	2	6	1	1	0	100%	2.0	16.7%	16.7%	0.0%	0.0%	0.00	3.80	—
2023	29	AAA RAW	Omaha Storm Chasers	1	1	2	6	1	1	0	100%	2.0	16.7%	16.7%	0.0%	0.0%	0.00	3.60	—
2024	30	MIX MLE	3 levels	18	17	77	310	76	24	7	94%	4.3	21.1%	7.8%	13.3%	2.6%	3.03	3.73	+1.6
2024	30	MIX MLE	3 levels	18	17	77	310	76	24	7	94%	4.3	21.1%	7.8%	13.3%	2.6%	3.03	3.73	+1.6
2024	30	MIX RAW	3 levels	18	17	77	310	76	24	7	94%	4.3	24.5%	7.7%	16.8%	2.3%	3.03	3.24	+2.0
2025	31	MIX MLE	2 levels	7	0	13	62	15	6	2	0%	1.8	24.2%	9.7%	14.5%	3.2%	10.66	4.05	+0.1
2025	31	MIX MLE	2 levels	7	0	13	62	15	6	2	0%	1.8	24.2%	9.7%	14.5%	3.2%	10.66	4.05	+0.1
2025	31	MIX RAW	2 levels	7	0	13	62	15	6	2	0%	1.8	24.2%	9.7%	14.5%	3.2%	10.66	4.21	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			25	13	86	358	70	37	13	52%	3.4	19.6%	10.3%	9.2%	3.6%	4.20	4.73	+0.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	BAL	1	1	6	25	6	2	1	100%	6.0	22.1%	9.7%	12.4%	3.1%	4.48	4.56	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	BAL	9	9	52	220	47	22	8	100%	5.8	21.4%	10.2%	11.2%	3.4%	4.68	4.84	+0.3
2029	35	MLB MLE	BAL	7	7	42	178	37	19	7	100%	6.0	20.6%	10.7%	9.9%	3.7%	4.94	5.14	+0.1
2030	36	MLB MLE	BAL	5	5	33	138	27	15	6	100%	6.5	19.7%	11.2%	8.5%	4.1%	5.24	5.46	-0.0
2028	34	MLB CTX	BAL	1	1	3	13	3	1	0	100%	3.0	21.4%	10.2%	11.2%	3.4%	4.68	4.84	+0.0
2029	35	MLB CTX	BAL	—	—	0	—	—	—	—	—	—	20.6%	10.7%	9.9%	3.7%	4.94	5.14	—
2030	36	MLB CTX	BAL	—	—	0	—	—	—	—	—	—	19.7%	11.2%	8.5%	4.1%	5.24	5.46	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		26	14	89	372	73	38	13	54%	3.4	19.6%	10.3%	9.3%	3.6%	4.22	4.74	+0.7
/ 200 IP	—	RAW		57	30	200	836	164	85	29	53%	3.5	19.6%	10.3%	9.3%	3.6%	4.22	4.74	+1.5
Career	—	MLE		143	122	658	2762	444	236	69	85%	4.6	16.1%	8.5%	7.5%	2.5%	3.93	4.19	+1.1
/ 200 IP	—	MLE		43	37	200	840	135	72	21	85%	4.6	16.1%	8.5%	7.5%	2.5%	3.93	4.19	+1.0

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.

2025 AAANorfolk Tides · 10 IPFIP 4.02 → 4.66 (+0.64)K% 30.4% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.43%	—	×0.860	26.17%
BB% (unintentional) /BF	8.70%	—	×0.900	7.83%
HR / BF /BF	4.35%	÷0.945	×1.100	5.06%

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 89).

Result: FIP 4.02 → 4.66, 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 AAAScranton/Wilkes-Barre RailRiders · 44 IPFIP 3.38 → 3.68 (+0.30)K% 27.2% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.22%	—	×0.860	23.41%
BB% (unintentional) /BF	8.33%	—	×0.900	7.50%
HR / BF /BF	2.78%	÷1.045	×1.100	2.92%

Result: FIP 3.38 → 3.68, 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 AASomerset Patriots · 9 IPFIP 0.74 → 1.30 (+0.56)K% 32.4% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.35%	—	×0.810	26.21%
BB% (unintentional) /BF	2.94%	—	×1.100	3.24%
HR / BF /BF	0.00%	÷1.027	×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 105).

Result: FIP 0.74 → 1.30, 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 AAAJacksonville Jumbo Shrimp · 8 IPFIP 2.84 → 3.69 (+0.85)K% 37.5% → 33.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.50%	—	×0.880	33.00%
BB% (unintentional) /BF	9.38%	—	×1.050	9.84%
HR / BF /BF	3.12%	÷0.886	×1.100	3.88%

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 77).

Result: FIP 2.84 → 3.69, 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).

2019 AAJacksonville Jumbo Shrimp · 84 IPFIP 2.84 → 3.36 (+0.52)K% 18.1% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.07%	—	×0.810	14.64%
BB% (unintentional) /BF	5.92%	—	×1.100	6.51%
HR / BF /BF	0.93%	÷0.918	×1.200	1.22%

Result: FIP 2.84 → 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).

2019 AAANew Orleans Baby Cakes · 52 IPFIP 5.96 → 6.16 (+0.20)K% 14.6% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.59%	—	×0.880	12.84%
BB% (unintentional) /BF	8.15%	—	×1.050	8.56%
HR / BF /BF	5.58%	÷1.100	×1.100	5.58%

Result: FIP 5.96 → 6.16, 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).

2018 AAJacksonville Jumbo Shrimp · 120 IPFIP 4.07 → 4.71 (+0.64)K% 19.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.97%	—	×0.810	15.36%
BB% (unintentional) /BF	7.85%	—	×1.100	8.64%
HR / BF /BF	2.87%	÷1.041	×1.200	3.31%

Result: FIP 4.07 → 4.71, 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).

2018 A+Jupiter Hammerheads · 25 IPFIP 2.38 → 3.56 (+1.17)K% 29.0% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.00%	—	×0.770	22.33%
BB% (unintentional) /BF	5.00%	—	×1.150	5.75%
HR / BF /BF	2.00%	÷0.850	×1.250	2.94%

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 70).

Result: FIP 2.38 → 3.56, 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).

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 Poteet (OGILVIE)	—	—	4.56	22.1%	9.7%	3.1%	—	5.10	20.7%	10.1%	127	+0.54	—	—	—
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	70
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	67
Logan Duran R 2015 · 3.42 FIP	33	SP	3.42	15.8%	10.0%	0.7%	.287	3.77	15.3%	6.4%	95	+0.35	3.42	187	66
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	63
Chuck Smith R 2001 · 3.99 FIP	31	SP	3.99	18.4%	8.1%	2.6%	.289	—	—	—	—	—	3.08	211	63
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	61
Deck McGuire R 2022 · 5.12 FIP	33	SP-	5.12	15.7%	13.1%	3.1%	.279	—	—	—	—	—	3.41	622	61
Jarrett Grube R 2015 · 3.75 FIP	33	SP	3.75	18.7%	4.2%	3.1%	.285	4.57	17.3%	9.6%	253	+0.82	3.75	393	61
Elih Villanueva R 2017 · 5.48 FIP	31	SP	5.48	14.1%	6.0%	5.1%	.365	—	—	—	—	—	3.83	225	61
Hector Ambriz R 2016 · 3.63 FIP	32	SP	3.63	16.0%	6.4%	2.0%	.273	6.40	10.4%	2.9%	91	+2.77	2.24	259	60
Jonathan Castellanos R 2015 · 3.63 FIP	33	SP	3.63	12.2%	6.5%	1.3%	.313	4.15	11.8%	3.5%	216	+0.52	3.40	394	60
Diego Moreno R 2019 · 4.08 FIP	32	SP	4.08	12.4%	6.9%	2.1%	.376	4.75	18.6%	9.2%	30	+0.67	2.29	187	60
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	60
Shawn Haviland R 2017 · 5.00 FIP	31	SP-	5.00	16.3%	8.1%	4.1%	.261	—	—	—	—	—	3.69	283	59
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	59
Austin Bibens-Dirkx R 2018 · 4.89 FIP	33	SP-	4.89	17.9%	7.6%	4.3%	.322	4.82	15.9%	9.5%	147	-0.07	3.97	567	59
Salvador Valdez R 2016 · 3.60 FIP	33	SP	3.60	12.8%	7.5%	1.1%	.310	3.99	11.5%	4.9%	138	+0.39	3.60	326	59
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	59
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	58
Junior Guerra R 2018 · 3.99 FIP	33	SP	3.99	22.3%	9.0%	3.0%	.309	4.12	21.2%	9.1%	173	+0.13	3.18	646	58

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	1.4	39	20.6%	10.3%	1.37	4.59
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*