Eddie King Jr.

OF Bradenton Marauders

Age 24 R/R 6'2" / 220 lbs A HR -15%K -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#758ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	23	A+/APIT	492	.265/.426/.405	12	8	91	—	.225/.346/.335
2027PROJMLE	24	MLBPIT	380	.228/.335/.351	8	6	98	0.5
2028PROJ38% MLB	25	MLBPIT	173	.228/.334/.350	3	3	99	0.3
2029PROJ55% MLB	26	MLBPIT	270	.229/.333/.353	5	4	99	0.4

Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Chase%85

Max EV83

BB%83

Whiff%68

K%64

Z-Con%59

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

CompsOliver Carrillo (age 22) · Zack Short (age 24) · Miguel Amaya (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†98

AVG/OBP/SLG.226 / .332 / .347

PA210

HR4

K%25

BB%12

ISO123

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 37 / POW 41

Toolsscout grade

CONTACT37

scouting grade only

POWER41

scouting grade only

EYE64

scouting grade only

SPEED46

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$0.0M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2026	23	A+	Greensboro Grasshoppers	—	31	18	6	0	0	1	11	4	2	1	0	333	613	500	1.113	167	385	13	35	508	168	—	—	—	—	—	—
2026	23	A	Bradenton Marauders	—	461	360	94	15	1	11	83	97	11	7	4	261	413	400	813	139	322	21	18	370	86	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	23	A+ MLE	Greensboro Grasshoppers	—	31	23	7	0	0	1	6	5	2	1	0	304	484	435	919	130	331	16	19	417	168	—	—	—	—	—	—
2026	23	A MLE	Bradenton Marauders	—	461	387	85	13	1	9	57	132	11	7	4	220	336	328	664	109	290	29	12	296	86	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	492	410	92	13	1	10	63	137	13	8	4	224	346	334	680	110	305	28	13	304	92	—	—	—	—	—	—
2026	23	A RAW	2 teams	—	492	378	100	15	1	12	94	101	13	8	4	265	426	405	831	140	325	21	19	378	92	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	492	413	92	13	1	10	63	137	13	8	4	223	346	332	677	109	293	28	13	304	92	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	23	A MLE	2 teams	—	492	413	92	13	1	10	63	137	13	8	4	223	346	332	677	109	293	28	13	304	92	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	PIT	0%	380	325	74	13	2	8	46	97	6	6	2	228	335	351	686	123	296	26	12	313	98	-1	+0	+0	-2	+8	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	PIT	38%	458	393	90	16	2	10	55	116	7	7	2	229	335	355	690	126	296	25	12	314	99	-1	+1	+0	-3	+10	0.7
2029	26	MLB MLE	PIT	55%	487	418	96	17	2	11	58	122	8	7	2	230	334	357	691	128	296	25	12	315	99	-0	+1	+0	-3	+11	0.8
2030	27	MLB MLE	PIT	61%	493	425	97	17	2	11	58	124	7	7	2	229	332	357	690	128	295	25	12	314	98	-1	+1	+0	-3	+11	0.8
2031	28	MLB MLE	PIT	64%	492	425	97	17	2	11	57	124	7	5	2	228	330	355	685	127	294	25	12	312	97	-2	+0	-1	-3	+11	0.6
2032	29	MLB MLE	PIT	64%	486	421	95	17	2	10	55	123	7	3	2	227	326	351	678	125	292	25	11	308	95	-3	-0	-1	-3	+11	0.3
2033	30	MLB MLE	PIT	64%	477	413	93	17	2	10	54	122	7	2	1	223	323	343	666	120	290	26	11	304	92	-5	+0	-2	-3	+10	0.1
2028	25	MLB CTX	PIT	38%	173	147	33	6	1	3	21	44	3	3	1	228	334	350	684	122	297	25	12	312	99	-0	+0	+0	-1	+4	0.3
2029	26	MLB CTX	PIT	55%	270	232	52	10	1	5	32	68	4	4	1	229	333	353	686	124	296	25	12	313	99	-0	+0	+0	-2	+6	0.4
2030	27	MLB CTX	PIT	61%	302	259	59	11	1	6	35	76	5	4	1	229	332	352	684	124	295	25	12	312	98	-1	+0	+0	-2	+7	0.5
2031	28	MLB CTX	PIT	64%	317	272	62	12	1	6	37	80	5	3	1	227	329	350	679	123	294	25	12	309	97	-1	+0	-0	-2	+7	0.4
2032	29	MLB CTX	PIT	64%	313	270	61	12	1	6	36	79	4	2	1	226	326	347	672	121	293	25	12	306	95	-2	+0	-1	-2	+7	0.2
2033	30	MLB CTX	PIT	64%	307	265	59	11	1	6	35	79	4	1	1	223	322	339	660	116	291	26	11	302	92	-3	-0	-1	-2	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1682	1445	326	62	6	32	196	426	25	17	6	226	328	343	672	118	295	25	12	309	96	-7	+1	-3	-10	+36	1.8
/ 162G	—	A+C		—	650	558	125	24	2	12	76	165	10	7	2	224	328	339	666	115	294	25	12	309	96	-3	+0	-1	-4	+14	0.7
Career	—	MLE		—	3595	3084	700	121	14	77	426	921	59	42	16	227	332	350	682	123	296	26	12	310	96	-12	+2	-4	-19	+67	3.5
/ 162G	—	MLE		—	650	558	127	22	3	14	77	167	11	8	3	228	333	353	686	125	297	26	12	310	96	-2	+0	-1	-4	+14	0.7

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 ABradenton Marauders · 461 PAwOBA .366 → .296 (−70)K% 21.0% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.04%	÷1.000	×1.360	—	—	28.62%
BB% (unintentional) /PA	18.00%	÷1.000	×0.690	—	×0.990	12.30%
HBP% /PA	2.39%	—	×0.780	—	×0.990	1.84%
Singles /BIP	25.48%	÷1.000	×0.920	×1.016	×0.990	23.58%
Doubles /BIP	5.70%	÷1.000	×0.830	×1.016	×0.990	4.76%
Triples /BIP	0.38%	÷1.000	×0.910	×1.016	×0.990	0.35%
Home runs /BIP	4.18%	÷1.000	×0.800	—	×0.990	3.31%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .366 → .296; ISO .139 → .113; BABIP .322 → .290. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Greensboro Grasshoppers · 31 PAwOBA .492 → .417 (−75)K% 12.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷1.000	×1.310	—	—	16.90%
BB% (unintentional) /PA	32.26%	÷1.000	×0.600	—	×0.998	19.32%
HBP% /PA	6.45%	—	×0.770	—	×0.998	4.96%
Singles /BIP	35.71%	÷1.000	×0.870	—	×0.998	31.01%
Doubles /BIP	0.00%	÷1.000	×0.780	—	×0.998	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	—	×0.998	0.00%
Home runs /BIP	7.14%	÷1.000	×0.880	—	×0.998	6.27%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .492 → .417; ISO .167 → .191; BABIP .385 → .331. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Mike Tauchmanlast yr '25 career totals — 6 seasons, 1,734 PA	2.6	1,734	41	28	249	350	387	-13	+2	6.5	6.5
/162	664	16	11	-4.9	+0.9	2.5	pk7: 7
#2Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#3Pat Sheridan'81-'91 * career totals — 8 seasons, 2,700 PA	4.1	2,700	51	86	250*	319*	387*	-22	-3	4.0	4.2
/162	664	13	21	-5.4	-0.8	1.0	pk7: 4
#4Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.8	1,892	40	21	229	327	354	-11	+0	3.4	3.4
/162	664	14	7	-4.0	+0.0	1.2	pk7: 3
#5Dan Johnson'05-'15 * career totals — 5 seasons, 1,625 PA	2.4	1,625	57	1	226*	330*	401*	-30	-3	2.2	2.8
/162	664	23	0	-12.2	-1.2	0.9	pk7: 3
#6Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Eddie King Jr. (OGILVIE)	24	37	41	46	64	226/332/347	122	296	4	3	25%	12%	98	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Oliver Carrillo 2024 · A	22	42→28	46→45	49→45	62	204/341/335	130	266	13	6	26%	15%	99	+1.3	181/269/294	113	292	13	4	39%	9%	62	-1.4	153/235/262	109	252	14	2	42%	8%	40	-1.5
✕Zack Short 2019 · AA	24	40→39	47→50	47→45	51	202/293/345	143	270	14	9	29%	11%	82	+0.0	198/291/335	137	280	14	7	32%	10%	79	-0.2	177/277/302	125	240	14	9	31%	11%	66	-0.8
✕Miguel Amaya 2023 · AA	24	46→43	45→50	50→40	47	222/310/350	128	316	13	6	31%	9%	90	+0.6	230/306/374	144	286	16	3	24%	8%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Corey Joyce 2023 · AAA	24	44	46→40	49→50	49	214/312/344	129	290	14	11	29%	10%	89	+0.5	212/309/310	98	304	8	14	30%	10%	80	-0.1	207/293/299	92	288	9	15	29%	9%	68	-0.6
✕Brandon Meredith 2014 · A	24	43→39	49→50	46→45	47	218/299/372	154	287	16	8	29%	9%	90	+0.6	209/283/347	138	275	16	7	28%	8%	78	-0.3	191/266/325	134	242	17	5	28%	8%	64	-0.5
✕Aaron Luna 2011 · AAA	24	44→46	49→50	50→45	50	221/334/375	154	272	16	7	24%	9%	105	+1.7	234/324/374	140	297	16	9	25%	8%	101	+1.4	233/321/367	134	297	17	8	26%	7%	97	+0.6
✕Anthony Seigler 2023 · A	24	39→40	42→45	46→55	54	193/293/304	111	262	9	11	28%	12%	73	-0.6	198/296/310	112	251	10	20	23%	12%	75	-0.5	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Devin Mann 2021 · A	24	44→45	49→50	44→45	46	224/292/371	148	289	17	7	28%	8%	87	+0.4	217/297/370	153	284	16	5	28%	8%	89	+0.5	213/299/370	157	281	17	4	29%	9%	88	+0.3
✕Haydn McGeary 2024 · AA	24	48	47→50	46→45	48	234/313/369	135	313	15	7	28%	9%	95	+0.9	204/272/316	112	311	13	8	36%	8%	67	-1.1	171/234/291	120	258	16	8	39%	7%	47	-1.7
✕Jackson Brennan 2007 · A	24	45→41	42→40	46→50	47	217/304/323	107	295	9	10	28%	8%	81	-0.1	206/296/302	96	284	8	10	28%	9%	74	-0.6	191/290/275	85	265	7	10	28%	9%	64	-0.7
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	205/287/320	115	295	10	7	32%	9%	74	-0.5	197/296/347	150	315	17	5	39%	10%	84	+0.2	181/287/333	152	294	19	3	41%	11%	75	-0.3
✕Dallas Carroll 2018 · A	24	47→33	45	46→45	45	232/289/347	116	279	13	9	22%	6%	80	-0.1	186/247/266	80	257	7	7	29%	7%	46	-2.6	166/227/231	65	226	6	6	28%	7%	29	-3.8
✕Kyler Fedko 2024 · A	24	42	43→50	50→55	52	208/295/320	112	268	10	10	25%	10%	77	-0.3	203/283/334	131	259	15	18	26%	9%	76	-0.4	195/275/339	144	243	18	22	27%	9%	72	-0.5
✕Luis Santana 2023 · A	24	44	46→45	48→50	42	221/284/348	127	282	13	11	26%	6%	79	-0.2	210/265/327	117	265	13	7	25%	5%	67	-1.1	194/247/303	110	239	13	5	25%	5%	52	-1.2
✕Peyton Burdick 2021 · A	24	48→34	47→50	46→50	43	233/309/379	146	326	14	8	31%	8%	95	+1.0	192/283/350	158	286	18	11	37%	9%	80	-0.2	175/269/332	157	261	19	12	38%	9%	68	-0.9
✕Quincy McAfee 2022 · AA	24	42	43→45	48→45	50	206/300/320	113	269	10	10	25%	9%	79	-0.2	193/276/313	120	251	12	8	27%	8%	69	-0.9	178/260/298	120	224	14	8	26%	7%	57	-1.0
✕Mark Mathias 2019 · AA	24	44→47	42→50	52→50	47	214/290/326	112	282	8	10	26%	8%	76	-0.4	231/294/361	130	292	12	13	24%	7%	85	+0.2	247/323/382	134	321	14	17	26%	9%	99	+0.8
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	293	12	11	29%	7%	78	-0.3	242/315/378	136	291	15	10	21%	8%	97	+1.1	242/322/372	129	290	14	9	21%	8%	95	+0.8
✕Brennan Milone 2024 · A	23	48→46	46→45	47→45	50	234/314/367	133	300	14	4	26%	10%	95	+0.9	212/290/335	123	283	13	6	28%	9%	78	-0.3	197/282/313	117	265	13	6	29%	10%	68	-0.8
✕Tyler Ogle 2015 · A	24	45→43	45→50	39→30	54	224/311/349	125	271	13	3	22%	10%	90	+0.6	211/282/359	148	263	18	3	26%	8%	81	-0.1	192/263/353	161	229	22	0	27%	8%	71	-0.4

Eddie King Jr.

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps