Chuck King

P Lehigh Valley IronPigs

Age 29 RHP 6'5" / 215 lbs AAA peak 0.9 · 2027

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX4 levels	34	1	41	3.92	2.33	25.6%	8.5%	—	K 19.4% · BB 9.9% · FIP 3.17
2025	27	AAPHI	25	23	123	4.38	4.19	19.6%	6.9%	—	K 15.9% · BB 7.6% · FIP 4.86
2026	28	MIX2 levels	27	26	133	4.55	3.45	18.4%	7.4%	—	K 15.8% · BB 6.8% · FIP 3.69
2027PROJ	29	MLBPHI	1	1	8	4.62	4.62	14.9%	7.4%	0.1
2028PROJ37% MLB	30	MLBPHI	4	4	27	4.53	4.49	17.3%	6.9%	0.3
2029PROJ55% MLB	31	MLBPHI	6	6	34	4.61	4.68	17.3%	7.4%	0.3

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control55Command45

Career WAR0.0 WAR median (P10 -0.6 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsScott McGregor (age 28) · Shawn Haviland (age 29) · Jorge Martinez (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.62

FIP4.62

K%14.9%

BB%7.4%

K-BB%7.5%

Proj IP83

Value2027 · WAR

Runs saved vs league avg · 83 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL5555

CMD4545

K†3040

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)
2024	26	MIX MLE	4 levels	34	1	41	176	45	15	1	3%	1.2	19.4%	9.9%	9.5%	0.8%	3.92	3.17	—
2024	26	MIX MLE	4 levels	34	1	41	176	45	15	1	3%	1.2	19.4%	9.9%	9.5%	0.8%	3.92	3.17	—
2024	26	MIX RAW	4 levels	34	1	41	176	45	15	1	3%	1.2	25.6%	8.5%	17.0%	0.6%	3.92	2.33	—
2025	27	AA MLE	Reading Fightin Phils	25	23	123	535	105	37	18	92%	4.9	15.9%	7.6%	8.3%	3.9%	4.38	4.86	—
2025	27	AA MLE	Reading Fightin Phils	25	23	123	535	105	37	18	92%	4.9	15.9%	7.6%	8.3%	3.9%	4.38	4.86	—
2025	27	AA RAW	Reading Fightin Phils	25	23	123	535	105	37	18	92%	4.9	19.6%	6.9%	12.7%	3.4%	4.38	4.19	—
2026	28	MIX MLE	2 levels	27	26	133	570	105	42	10	96%	4.9	15.8%	6.8%	9.0%	1.9%	4.55	3.69	—
2026	28	MIX MLE	2 levels	27	26	133	570	105	42	10	96%	4.9	15.8%	6.8%	9.0%	1.9%	4.55	3.69	—
2026	28	MIX RAW	2 levels	27	26	133	570	105	42	10	96%	4.9	18.4%	7.4%	11.1%	1.8%	4.55	3.45	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	PHI	1	1	8	34	5	2	1	100%	8.0	14.9%	7.4%	7.5%	2.7%	4.62	4.62	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	PHI	12	12	72	305	53	21	9	100%	6.0	17.3%	6.9%	10.3%	2.9%	4.53	4.49	+0.8
2029	31	MLB MLE	PHI	10	10	61	258	45	19	8	100%	6.1	17.3%	7.4%	9.9%	3.1%	4.61	4.68	+0.5
2030	32	MLB MLE	PHI	9	9	52	222	38	18	7	100%	5.8	17.2%	7.9%	9.2%	3.4%	4.77	4.89	+0.3
2028	30	MLB CTX	PHI	4	4	27	114	20	8	3	100%	6.8	17.3%	6.9%	10.3%	2.9%	4.53	4.49	+0.3
2029	31	MLB CTX	PHI	6	6	34	144	25	11	4	100%	5.7	17.3%	7.4%	9.9%	3.1%	4.61	4.68	+0.3
2030	32	MLB CTX	PHI	6	6	36	152	26	12	5	100%	6.0	17.2%	7.9%	9.2%	3.4%	4.77	4.89	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	16	96	405	70	30	13	100%	6.0	17.2%	7.5%	9.8%	3.2%	4.65	4.32	+1.2
/ 200 IP	—	RAW		33	33	200	844	146	63	27	100%	6.0	17.2%	7.5%	9.8%	3.2%	4.65	4.32	+2.5
Career	—	MLE		86	50	297	1281	209	97	33	58%	3.5	16.3%	7.5%	8.8%	2.6%	4.39	4.11	+1.6
/ 200 IP	—	MLE		58	34	200	862	141	65	22	58%	3.5	16.3%	7.5%	8.8%	2.6%	4.39	4.11	+1.7

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 AAALehigh Valley IronPigs · 120 IPFIP 3.53 → 3.77 (+0.24)K% 18.9% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.86%	—	×0.860	16.22%
BB% (unintentional) /BF	7.47%	—	×0.900	6.72%
HR / BF /BF	1.96%	÷1.000	×1.100	2.16%

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 3.53 → 3.77, 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).

2026 AAReading Fightin Phils · 13 IPFIP 2.68 → 3.00 (+0.32)K% 14.8% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.75%	—	×0.810	11.95%
BB% (unintentional) /BF	6.56%	—	×1.100	7.21%
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 2.68 → 3.00, 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 AAReading Fightin Phils · 123 IPFIP 4.17 → 4.86 (+0.69)K% 19.6% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.63%	—	×0.810	15.90%
BB% (unintentional) /BF	6.92%	—	×1.100	7.61%
HR / BF /BF	3.36%	÷1.036	×1.200	3.90%

Result: FIP 4.17 → 4.86, 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+Jersey Shore BlueClaws · 38 IPFIP 2.40 → 3.17 (+0.77)K% 25.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.15%	—	×0.770	19.37%
BB% (unintentional) /BF	8.59%	—	×1.150	9.88%
HR / BF /BF	0.61%	÷0.926	×1.250	0.83%

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 85).

Result: FIP 2.40 → 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).

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
Chuck King (OGILVIE)	—	—	4.62	14.9%	7.4%	2.7%	—	4.67	17.3%	9.9%	186	+0.05	—	—	—
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	85
Shawn Haviland R 2015 · 3.95 FIP	29	SP-	3.95	14.6%	6.0%	2.4%	.303	4.67	16.1%	8.8%	169	+0.72	3.69	283	82
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	81
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	80
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	80
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	78
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	77
Travis Driskill R 2002 · 4.95 FIP	30	SP-	4.95	13.2%	8.0%	3.6%	.291	4.26	15.3%	12.0%	48	-0.69	4.26	181	77
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	77
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	76
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	76
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	75
Andres Ivan Meza R 2015 · 4.45 FIP	28	SP	4.45	10.9%	5.6%	2.9%	.322	4.14	12.5%	4.0%	85	-0.31	4.14	275	74
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	74
Aaron Brooks R 2019 · 4.72 FIP	29	SP-	4.72	17.0%	7.1%	3.9%	.281	4.38	15.8%	8.8%	70	-0.34	3.71	879	74
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	74
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	73
Kyle Friedrichs R 2021 · 4.73 FIP	29	SP-	4.73	13.9%	6.2%	3.7%	.286	—	—	—	—	—	3.53	603	72
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	72
Kenneth Sigman R 2019 · 4.05 FIP	29	SP-	4.05	13.9%	7.7%	2.1%	.348	—	—	—	—	—	3.56	267	72

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	1.3	67	16.5%	7.4%	1.15	4.62
Blas Minor ('97)	1.1	75	19.2%	7.3%	1.16	4.40
Jerry Spradlin ('00)	1.9	74	18.6%	7.8%	0.97	4.75
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
John Morris ('66-'74, -0 WAR*)	1.2	58	18.3%*	8.2%*	1.00*	4.74*
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
Rich Monteleone ('87-'96, 2 WAR*)	1.8	71	18.7%*	7.5%*	1.39*	4.03*