Peyton Pallette

P Charlotte Knights

Age 26 RHP 6'1" / 190 lbs AAA peak 0.1 · 2027

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	32	12	82	4.37	3.14	26.7%	9.6%	—	K 20.7% · BB 10.9% · FIP 4.38
2025	24	MIX2 levels	52	0	64	4.06	2.94	32.5%	10.6%	—	K 27.3% · BB 10.1% · FIP 3.54
2026	25	MIX2 levels	41	3	54	3.98	3.58	26.9%	16.2%	0.6	K 24.3% · BB 15.2% · FIP 3.65
2027PROJ	26	MLBCLE	45	0	47	4.44	4.45	24.8%	13.9%	0.1
2028PROJ77% MLB	27	MLBCLE	39	0	41	4.45	4.47	24.7%	13.5%	0.0
2029PROJ82% MLB	28	MLBCLE	36	0	38	4.50	4.55	24.5%	13.3%	0.0

Last 3 seasons WAR 0.6 · 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

FB Velo62

K%53

xwOBA vs13

Career WAR0.0 WAR median (P10 -0.3 / P90 1.7, comp-based) · star 0% · didn't stick 91%

CompsSam Gardner (age 26) · Daniel Corcino (age 26) · Jesus Pirela (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 101

ERA4.44

FIP4.45

K%24.8%

BB%13.9%

K-BB%10.9%

Proj IP66

Value2027 · WAR

Runs saved vs league avg · 66 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p6295.4

Whiff%

p7028.4%

p5322.7%

xwOBA vs

p130.356

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)
2023	22	A MLE	Kannapolis Cannon Ballers	22	22	72	320	78	41	8	100%	3.3	18.0%	15.1%	2.9%	3.8%	4.12	5.56	—
2023	22	A RAW	Kannapolis Cannon Ballers	22	22	72	320	78	41	8	100%	3.3	24.4%	12.8%	11.6%	2.5%	4.12	4.09	—
2024	23	MIX MLE	2 levels	32	12	82	356	95	34	7	38%	2.6	20.7%	10.9%	9.8%	3.0%	4.37	4.38	—
2024	23	MIX MLE	2 levels	32	12	82	356	95	34	7	38%	2.6	20.7%	10.9%	9.8%	3.0%	4.37	4.38	—
2024	23	MIX RAW	2 levels	32	12	82	356	95	34	7	38%	2.6	26.7%	9.6%	17.1%	2.0%	4.37	3.14	—
2025	24	MIX MLE	2 levels	52	0	64	265	86	28	6	0%	1.2	27.3%	10.1%	17.2%	2.7%	4.06	3.54	—
2025	24	MIX MLE	2 levels	52	0	64	265	86	28	6	0%	1.2	27.3%	10.1%	17.2%	2.7%	4.06	3.54	—
2025	24	MIX RAW	2 levels	52	0	64	265	86	28	6	0%	1.2	32.5%	10.6%	21.9%	2.3%	4.06	2.94	—
2026	25	MIX MLE	2 levels	41	3	54	253	68	41	3	7%	1.3	24.3%	15.2%	9.1%	1.2%	3.98	3.65	+0.6
2026	25	MIX MLE	2 levels	41	3	54	253	68	41	3	7%	1.3	24.3%	15.2%	9.1%	1.2%	3.98	3.65	+0.6
2026	25	MIX RAW	2 levels	41	3	54	253	68	41	3	7%	1.3	26.9%	16.2%	10.7%	1.2%	3.98	3.58	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			16	0	21	97	22	16	2	0%	1.3	22.7%	16.5%	6.2%	2.1%	5.23	4.55	-0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CLE	45	0	47	198	49	28	5	0%	1.0	24.8%	13.9%	10.9%	2.4%	4.44	4.45	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CLE	50	0	53	223	55	30	6	0%	1.1	24.7%	13.5%	11.2%	2.5%	4.45	4.47	+0.0
2029	28	MLB MLE	CLE	44	0	46	194	48	26	5	0%	1.0	24.5%	13.3%	11.1%	2.6%	4.50	4.55	0.0
2028	27	MLB CTX	CLE	39	0	41	173	43	23	4	0%	1.1	24.7%	13.5%	11.2%	2.5%	4.45	4.47	+0.0
2029	28	MLB CTX	CLE	36	0	38	160	39	21	4	0%	1.1	24.5%	13.3%	11.1%	2.6%	4.50	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		91	0	99	428	103	61	10	0%	1.1	24.1%	14.1%	10.0%	2.4%	4.63	4.19	+0.4
/ 200 IP	—	RAW		183	0	200	864	208	123	20	0%	1.1	24.1%	14.1%	10.0%	2.4%	4.63	4.19	+0.8
Career	—	MLE		147	37	273	1194	265	153	33	25%	1.9	22.2%	12.8%	9.5%	2.8%	4.15	4.36	+0.0
/ 200 IP	—	MLE		108	27	200	875	194	112	24	25%	1.9	22.2%	12.8%	9.5%	2.8%	4.15	4.36	+0.1

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 AAACharlotte Knights · 34 IPFIP 2.99 → 3.17 (+0.18)K% 29.5% → 25.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.49%	—	×0.860	25.36%
BB% (unintentional) /BF	16.03%	—	×0.900	14.42%
HR / BF /BF	0.64%	÷1.000	×1.100	0.71%

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 2.99 → 3.17, 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 AAACharlotte Knights · 43 IPFIP 2.89 → 2.95 (+0.06)K% 29.3% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.35%	—	×0.860	25.24%
BB% (unintentional) /BF	10.87%	—	×0.900	9.78%
HR / BF /BF	1.63%	÷1.320	×1.100	1.36%

Result: FIP 2.89 → 2.95, 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 AABirmingham Barons · 21 IPFIP 3.05 → 4.89 (+1.84)K% 39.5% → 32.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.51%	—	×0.810	32.00%
BB% (unintentional) /BF	9.88%	—	×1.100	10.86%
HR / BF /BF	3.70%	÷0.784	×1.200	5.67%

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 57).

Result: FIP 3.05 → 4.89, 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 A+Winston-Salem Dash · 67 IPFIP 3.38 → 4.77 (+1.38)K% 26.5% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.51%	—	×0.770	20.41%
BB% (unintentional) /BF	9.73%	—	×1.150	11.19%
HR / BF /BF	2.35%	÷0.817	×1.250	3.59%

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 63).

Result: FIP 3.38 → 4.77, 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 AABirmingham Barons · 15 IPFIP 1.86 → 2.41 (+0.55)K% 27.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.59%	—	×0.810	22.34%
BB% (unintentional) /BF	8.62%	—	×1.100	9.48%
HR / BF /BF	0.00%	÷0.935	×1.200	0.00%

Result: FIP 1.86 → 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).

2023 AKannapolis Cannon Ballers · 72 IPFIP 4.04 → 5.56 (+1.53)K% 24.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.38%	—	×0.740	18.04%
BB% (unintentional) /BF	12.81%	—	×1.180	15.12%
HR / BF /BF	2.50%	÷0.861	×1.300	3.78%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 72).

Result: FIP 4.04 → 5.56, 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
Peyton Pallette (OGILVIE)	—	—	—	—	—	2.4%	—	4.51	24.6%	11.1%	99	+0.06	—	—	—
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	80
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	79
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	78
Jeff Ames R 2017 · 3.94 FIP	26	SU	3.94	25.1%	13.4%	2.3%	.310	4.65	25.4%	10.8%	79	+0.71	3.85	272	78
Dustin Antolin R 2016 · 3.43 FIP	26	SU	3.43	23.9%	13.1%	1.3%	.286	4.35	16.2%	1.8%	50	+0.92	2.95	159	77
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	77
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	77
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	77
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	77
Manny Acosta R 2007 · 4.05 FIP	26	SU	4.05	23.7%	14.0%	2.1%	.196	4.23	19.0%	9.1%	130	+0.18	3.08	350	76
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	76
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	76
Carter Loewen R 2024 · 4.26 FIP	25	SU	4.26	23.1%	15.0%	2.2%	.312	4.16	20.0%	11.9%	23	-0.10	2.67	145	76
Nelson L. Alvarez R 2024 · 4.12 FIP	26	SU	4.12	23.2%	13.1%	2.4%	.282	4.70	18.5%	9.4%	35	+0.58	2.58	233	76
Eduard Santos R 2016 · 3.86 FIP	26	SU	3.86	22.2%	14.4%	1.5%	.248	2.04	31.1%	18.7%	16	-1.82	2.04	138	76
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	76
Justin Evans R 2022 · 3.63 FIP	25	SU	3.63	23.6%	14.3%	1.3%	.323	4.80	16.4%	-7.9%	14	+1.17	3.63	105	76
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	76
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	76
Brooks Kriske R 2019 · 3.47 FIP	25	SU	3.47	26.1%	12.2%	1.9%	.245	4.95	28.6%	16.5%	41	+1.48	3.09	246	76

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	46	24.4%	14.0%	0.94	4.55
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Chad Fox ('09)	1.1	57	25.8%	13.2%	0.87	3.79
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*