Carlton Perkins

P Kannapolis Cannon Ballers

Age 24 RHP 6'3" / 180 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX2 levels	22	9	58	4.50	2.88	26.5%	12.9%	—	K 18.6% · BB 15.7% · FIP 4.16
2025	22	ACWS	33	0	41	5.75	4.60	19.1%	16.5%	—	K 14.1% · BB 19.5% · FIP 5.67
2026	23	MIX3 levels	32	0	40	3.57	2.21	34.8%	14.0%	—	K 24.7% · BB 15.5% · FIP 3.61
2027PROJ	24	MLBCWS	—	—	0	6.09	6.09	17.6%	20.0%	—
2028PROJ43% MLB	25	MLBCWS	16	0	17	5.80	5.72	18.6%	17.7%	-0.2
2029PROJ66% MLB	26	MLBCWS	22	0	23	5.63	5.59	19.1%	17.0%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control20Command20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJeff Soptic (age 24) · Jacob Morris (age 24) · Brett Lockwood (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 149141vR 133

ERA6.09

FIP6.09

K%17.6%

BB%20.0%

K-BB%-2.4%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL2020

CMD2020

K†4045

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	20	ROK MLE	ACL White Sox	6	4	8	41	6	6	0	67%	1.4	14.6%	14.6%	0.0%	0.0%	10.80	3.72	—
2023	20	ROK RAW	ACL White Sox	6	4	8	41	6	6	0	67%	1.4	14.6%	14.6%	0.0%	0.0%	10.80	3.82	—
2024	21	MIX MLE	2 levels	22	9	58	272	72	35	2	41%	2.6	18.6%	15.7%	2.9%	1.2%	4.50	4.16	—
2024	21	MIX MLE	2 levels	22	9	58	272	72	35	2	41%	2.6	18.6%	15.7%	2.9%	1.2%	4.50	4.16	—
2024	21	MIX RAW	2 levels	22	9	58	272	72	35	2	41%	2.6	26.5%	12.9%	13.6%	0.7%	4.50	2.88	—
2025	22	A MLE	Kannapolis Cannon Ballers	33	0	41	194	37	32	3	0%	1.2	14.1%	19.5%	-5.4%	2.4%	5.75	5.67	—
2025	22	A MLE	Kannapolis Cannon Ballers	33	0	41	194	37	32	3	0%	1.2	14.1%	19.5%	-5.4%	2.4%	5.75	5.67	—
2025	22	A RAW	Kannapolis Cannon Ballers	33	0	41	194	37	32	3	0%	1.2	19.1%	16.5%	2.6%	1.5%	5.75	4.60	—
2026	23	MIX MLE	3 levels	32	0	40	178	62	25	1	0%	1.3	24.7%	15.5%	9.1%	1.1%	3.57	3.61	—
2026	23	MIX MLE	3 levels	32	0	40	178	62	25	1	0%	1.3	24.7%	15.5%	9.1%	1.1%	3.57	3.61	—
2026	23	MIX RAW	3 levels	32	0	40	178	62	25	1	0%	1.3	34.8%	14.0%	20.8%	0.6%	3.57	2.21	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CWS	—	—	0	—	—	—	—	—	—	17.6%	20.0%	-2.4%	2.8%	6.09	6.09	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CWS	39	0	41	171	32	30	5	0%	1.0	18.6%	17.7%	0.8%	2.8%	5.80	5.72	-0.5
2029	26	MLB MLE	CWS	33	0	35	147	28	25	4	0%	1.1	19.1%	17.0%	2.1%	2.9%	5.63	5.59	-0.4
2028	25	MLB CTX	CWS	16	0	17	72	13	13	2	0%	1.1	18.6%	17.7%	0.8%	2.8%	5.80	5.72	-0.2
2029	26	MLB CTX	CWS	22	0	23	97	19	17	3	0%	1.0	19.1%	17.0%	2.1%	2.9%	5.63	5.59	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		38	0	40	171	32	30	5	0%	1.1	18.9%	17.3%	1.5%	2.8%	5.70	5.27	-0.3
/ 200 IP	—	RAW		190	0	200	844	158	148	25	0%	1.1	18.9%	17.3%	1.5%	2.8%	5.70	5.27	-1.7
Career	—	MLE		93	13	147	685	128	114	10	14%	1.6	18.7%	16.7%	2.0%	1.4%	4.95	4.42	-1.0
/ 200 IP	—	MLE		126	18	200	930	174	155	13	14%	1.6	18.7%	16.7%	2.0%	1.4%	4.95	4.42	-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.

2026 AKannapolis Cannon Ballers · 25 IPFIP 2.43 → 3.61 (+1.18)K% 33.3% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.740	24.67%
BB% (unintentional) /BF	13.16%	—	×1.180	15.53%
HR / BF /BF	0.88%	÷1.000	×1.300	1.14%

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 100).

Result: FIP 2.43 → 3.61, 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 A+Winston-Salem Dash · 8 IPFIP 1.61 → 2.52 (+0.91)K% 35.3% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.29%	—	×0.770	27.18%
BB% (unintentional) /BF	11.76%	—	×1.150	13.53%
HR / BF /BF	0.00%	÷1.000	×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 100).

Result: FIP 1.61 → 2.52, 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).

2026 ROKACL White Sox · 7 IPFIP 2.26 → 3.97 (+1.71)K% 40.0% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.680	27.20%
BB% (unintentional) /BF	20.00%	—	×1.250	25.00%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 2.26 → 3.97, 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 AKannapolis Cannon Ballers · 41 IPFIP 4.43 → 5.67 (+1.24)K% 19.1% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.07%	—	×0.740	14.11%
BB% (unintentional) /BF	16.49%	—	×1.180	19.46%
HR / BF /BF	1.55%	÷0.853	×1.300	2.36%

Result: FIP 4.43 → 5.67, 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 ROKACL White Sox · 37 IPFIP 2.53 → 3.61 (+1.08)K% 25.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.44%	—	×0.680	17.30%
BB% (unintentional) /BF	12.43%	—	×1.250	15.53%
HR / BF /BF	0.00%	÷1.076	×1.400	0.00%

Result: FIP 2.53 → 3.61, 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 AKannapolis Cannon Ballers · 21 IPFIP 3.51 → 5.06 (+1.55)K% 28.2% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.16%	—	×0.740	20.83%
BB% (unintentional) /BF	13.59%	—	×1.180	16.04%
HR / BF /BF	1.94%	÷0.820	×1.300	3.08%

Result: FIP 3.51 → 5.06, 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).

2023 ROKACL White Sox · 8 IPFIP 3.72 → 4.58 (+0.86)K% 14.6% → 10.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.63%	—	×0.680	9.95%
BB% (unintentional) /BF	14.63%	—	×1.250	18.29%
HR / BF /BF	0.00%	÷2.194	×1.400	0.00%

Result: FIP 3.72 → 4.58, 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).

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
Carlton Perkins (OGILVIE)	—	—	6.09	17.6%	20.0%	2.8%	—	5.66	18.8%	1.4%	75	-0.43	—	—	—
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	87
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	87
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	86
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	85
Ryan Sublette R 2023 · 5.72 FIP	24	SU	5.72	21.4%	22.3%	2.9%	.278	5.06	19.2%	3.8%	102	-0.66	3.74	203	85
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	84
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	84
Aroni Nina R 2015 · 4.90 FIP	25	SU	4.90	16.8%	20.5%	1.1%	.312	3.04	18.8%	8.7%	64	-1.86	2.68	115	83
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	83
Kelvin Vasquez R 2017 · 6.26 FIP	24	SU	6.26	15.0%	23.2%	2.7%	.247	5.06	14.5%	-0.2%	48	-1.20	5.01	180	83
Yordy Cabrera R 2016 · 4.99 FIP	25	SU	4.99	15.8%	17.2%	1.9%	.321	4.17	13.7%	2.7%	140	-0.82	3.43	159	83
Leandro Linares R 2018 · 5.49 FIP	24	SU	5.49	16.2%	22.0%	1.8%	.353	—	—	—	—	—	1.93	134	83
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	82
Austin Glorius R 2017 · 6.09 FIP	24	SU	6.09	18.7%	21.0%	3.5%	.312	—	—	—	—	—	3.92	141	82
Jairo Beras R 2019 · 5.47 FIP	24	SU	5.47	15.0%	20.3%	1.9%	.310	—	—	—	—	—	3.48	110	82
Connor Cooke R 2024 · 5.02 FIP	24	SU	5.02	17.4%	17.0%	2.2%	.253	—	—	—	—	—	2.93	103	81
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	81
Alec Hansen R 2019 · 5.74 FIP	24	SU	5.74	18.8%	19.8%	3.1%	.349	4.98	29.5%	-5.0%	22	-0.76	3.34	288	81
Yoel Espinal R 2017 · 5.37 FIP	24	SU	5.37	21.4%	23.1%	2.1%	.255	4.24	22.9%	10.0%	99	-1.13	3.86	231	81
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	81

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	0.7	44	18.3%	18.5%	1.10	5.88
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*