Jayden Kim — OGILVIE

Jayden KimSS FCL Pirates

Age 19 R/R 5'11" / 170 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION60 act + 9 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP281

ISO69

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Tools · ContractCON 29 / POW 33

Toolsscout grade

CONTACT29

scouting grade only

POWER33

scouting grade only

EYE68

scouting grade only

SPEED54

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
2026	MiLB	still in minors · estimated debut 2032
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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2024	17	ROK	DSL Pirates Black	—	91	69	15	0	1	0	18	25	2	3	1	217	393	246	640	29	341	27	20	311	97	-0	+0	—	—	+2	0.2
2025	18	ROK	DSL Pirates Gold	—	131	97	17	3	1	0	28	30	2	4	2	175	370	227	597	52	250	23	21	292	84	-3	+0	—	—	+3	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Pirates Black	—	91	76	13	0	1	0	11	36	2	3	1	171	292	197	490	26	290	40	12	220	35	-7	+0	—	—	+2	-0.5
2025	18	ROK MLE	DSL Pirates Gold	—	131	108	14	2	1	0	17	44	2	4	2	130	260	167	427	37	204	34	13	204	24	-12	+0	—	—	+3	-0.9
2024	17	ROK MLE	DSL Pirates Black	—	91	76	13	0	1	0	11	36	2	3	1	171	292	197	490	26	325	40	12	220	35	—	—	—	—	—	—
2024	17	ROK RAW	DSL Pirates Black	—	91	69	15	0	1	0	18	25	2	3	1	217	393	246	640	29	341	27	20	311	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Gold	—	131	108	14	2	1	0	17	44	2	4	2	130	260	167	427	37	215	34	13	204	24	—	—	—	—	—	—
2025	18	ROK RAW	DSL Pirates Gold	—	131	97	17	3	1	0	28	30	2	4	2	175	370	227	597	52	250	23	21	292	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Black	—	91	78	13	0	1	0	11	36	2	3	1	167	292	192	484	26	290	40	12	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Gold	—	131	111	14	2	1	0	17	44	2	4	2	126	260	162	422	36	204	34	13	204	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Pirates Black	—	91	78	13	0	1	0	11	36	2	3	1	167	292	192	484	26	290	40	12	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Gold	—	131	111	14	2	1	0	17	44	2	4	2	126	260	162	422	36	204	34	13	204	24	—	—	—	—	—	—
YTD	19	ROK MLE	PIT	—	60	52	13	0	1	0	6	19	1	4	0	250	339	288	627	38	382	32	10	280	76	-2	+1	+0	+1	+1	0.1
▸ 2026 season
YTD	19	ROK RAW	PIT	—	60	48	16	0	1	0	10	13	1	4	0	333	458	375	833	42	444	22	17	382	76	—	—	—	—	—	—
ROS	19	ROK MLE	PIT	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		282	33	11	255	59	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	PIT	—	69	60	14	0	1	0	7	22	1	4	0	233	324	267	590	33	359	32	10	277	73	-2	+1	+0	+1	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	PIT	34%	198	175	36	5	1	2	19	56	2	3	1	206	291	280	571	74	285	28	10	267	67	-8	+0	+0	+2	+4	-0.1
2028	21	MLB MLE	PIT	48%	331	292	60	8	2	4	32	91	4	6	1	205	293	288	580	82	286	27	10	276	73	-11	+1	+0	+4	+7	0.1
2029	22	MLB MLE	PIT	54%	427	378	81	11	3	7	41	116	5	7	1	214	300	315	614	101	288	27	10	281	76	-12	+1	+0	+5	+9	0.3
2030	23	MLB MLE	PIT	57%	491	435	94	13	4	8	47	132	6	8	2	216	301	320	621	103	288	27	10	285	79	-12	+1	+0	+5	+11	0.4
2031	24	MLB MLE	PIT	57%	533	469	102	14	4	9	52	143	7	9	2	217	305	322	627	104	289	27	10	287	80	-13	+1	+0	+6	+12	0.6
2032	25	MLB MLE	PIT	57%	558	492	108	15	4	10	54	149	7	9	2	220	306	327	633	108	289	27	10	288	81	-13	+1	+0	+6	+12	0.7
2033	26	MLB MLE	PIT	60%	571	504	109	15	4	10	55	153	7	10	2	216	302	321	624	105	289	27	10	288	81	-13	+1	+0	+6	+12	0.7
2034	27	MLB MLE	PIT	62%	575	506	111	16	4	10	57	154	7	10	2	219	307	326	633	107	289	27	10	289	81	-13	+1	+0	+6	+12	0.7
2035	28	MLB MLE	PIT	63%	573	504	109	15	4	10	57	154	7	9	2	216	305	321	626	105	289	27	10	288	81	-13	+1	-1	+6	+12	0.6
2036	29	MLB MLE	PIT	64%	565	497	108	15	4	10	56	153	7	8	2	217	305	324	629	107	288	27	10	286	80	-14	+1	-1	+6	+12	0.4
2037	30	MLB MLE	PIT	65%	555	488	104	14	4	9	55	152	7	7	2	213	302	314	615	100	287	27	10	283	78	-15	+1	-2	+6	+12	0.2
2038	31	MLB MLE	PIT	65%	541	475	101	14	3	9	54	150	7	6	1	213	302	312	614	99	285	28	10	279	75	-16	+1	-3	+6	+12	-0.0
2027	20	MLB CTX	PIT	34%	68	60	13	2	1	1	7	19	1	1	0	217	309	333	642	117	283	28	10	256	67	-3	+0	+0	+1	+1	-0.0
2028	21	MLB CTX	PIT	48%	160	142	29	4	1	2	15	44	2	3	1	204	289	289	578	85	284	28	9	264	73	-5	+0	+0	+2	+3	0.0
2029	22	MLB CTX	PIT	54%	232	205	43	6	2	3	22	63	3	4	1	210	296	302	598	93	286	27	9	269	76	-6	+0	+0	+2	+5	0.1
2030	23	MLB CTX	PIT	57%	278	246	53	8	2	4	27	75	3	5	1	215	301	313	614	98	287	27	10	272	79	-7	+1	+0	+3	+6	0.3
2031	24	MLB CTX	PIT	57%	301	265	57	8	2	5	29	81	4	5	1	215	302	317	619	102	287	27	10	274	80	-7	+1	+0	+3	+7	0.3
2032	25	MLB CTX	PIT	57%	315	277	60	9	2	5	31	84	4	5	1	217	304	318	622	101	287	27	10	275	81	-7	+1	+0	+3	+7	0.4
2033	26	MLB CTX	PIT	60%	344	304	65	9	2	6	33	92	4	6	1	214	299	316	615	102	287	27	10	275	81	-8	+1	+0	+4	+7	0.4
2034	27	MLB CTX	PIT	62%	357	314	69	10	3	6	35	96	5	6	1	220	308	328	636	108	287	27	10	275	81	-8	+1	+0	+4	+8	0.5
2035	28	MLB CTX	PIT	63%	362	318	69	10	3	6	36	98	5	6	1	217	306	324	630	107	287	27	10	275	81	-8	+1	-0	+4	+8	0.4
2036	29	MLB CTX	PIT	64%	360	316	67	9	2	6	36	98	5	5	1	212	303	310	613	98	286	27	10	273	80	-9	+1	-1	+4	+8	0.3
2037	30	MLB CTX	PIT	65%	361	317	67	9	2	6	36	99	5	5	1	211	302	309	611	98	285	27	10	271	78	-10	+1	-1	+4	+8	0.1
2038	31	MLB CTX	PIT	65%	352	310	64	9	2	5	35	98	4	4	1	206	295	297	592	90	283	28	10	267	75	-10	+0	-2	+4	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3490	3074	656	93	24	55	342	947	45	55	11	213	301	313	614	100	287	27	10	272	77	-88	+7	-5	+37	+76	2.8
/ 162G	—	A+C		—	650	573	121	17	4	10	64	176	8	10	2	211	300	307	607	96	284	27	10	272	77	-16	+1	-1	+7	+14	0.5
Career	—	MLE		—	6149	5407	1151	157	43	98	608	1686	77	99	23	213	301	312	614	99	288	27	10	282	77	-151	+10	-7	+64	+128	4.5
/ 162G	—	MLE		—	650	572	122	17	5	10	64	178	8	10	2	213	301	313	614	100	289	27	10	282	77	-17	+1	-1	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.4	3,601	60	57	216	300	319	+39	+24	5.0	4.5
/162	664	11	10	+7.1	+4.4	0.9	pk7: 4

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
Jayden Kim (OGILVIE)	19	24→29	28→33	49→54	68	195/282/260	65	282	1	2	29%	10%	59	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Oswaldo Linares 2022 · A	19	42	36→40	47→40	55	196/303/262	65	273	4	8	27%	12%	68	-1.0	197/297/284	87	275	8	5	28%	11%	70	-0.8	175/284/254	79	245	9	2	29%	12%	58	-0.6
✕Chris Suero 2023 · A	19	41→37	38→45	47→55	49	191/288/272	81	291	5	8	32%	10%	64	-1.3	194/290/296	102	287	9	14	33%	10%	70	-0.8	175/281/296	121	259	13	27	34%	10%	66	-0.9
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Marco Guzman 2014 · A	19	39	36→45	44→50	48	185/262/256	71	249	3	8	25%	9%	50	-2.3	207/264/294	87	251	5	7	19%	7%	58	-1.7	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Christian Cerda 2022 · A	19	40→37	38→45	47→40	48	188/271/271	82	247	4	8	24%	8%	57	-1.8	195/289/294	99	262	9	6	26%	11%	70	-0.9	183/285/276	93	245	10	4	27%	12%	63	-0.8
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Jose Colmenares 2021 · A	19	39	39→45	47→50	45	192/256/277	84	251	7	8	26%	7%	52	-2.2	210/290/338	128	295	14	8	31%	9%	79	-0.2	177/254/299	122	259	13	14	35%	8%	55	-0.8
✕Jose Perez 2023 · A	19	41	36→40	44→45	50	191/273/255	63	252	3	8	24%	9%	53	-2.1	201/307/293	92	271	5	6	25%	12%	76	-0.4	184/305/272	88	246	5	5	24%	13%	69	-0.3
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Carlos Narváez 2018 · A	19	46→45	36→45	48→45	46	219/274/285	66	269	4	3	20%	6%	59	-1.6	217/290/287	70	304	5	5	27%	9%	67	-1.1	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Daniel Santos 2018 · A	19	37	36→45	46→40	43	178/255/242	64	250	3	6	28%	7%	45	-2.7	197/260/282	85	284	6	6	31%	6%	55	-2.0	186/247/273	87	269	7	4	31%	6%	47	-0.7
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Juan Uriarte 2017 · A	19	41	38→45	46→30	41	199/261/275	76	260	5	5	25%	5%	53	-2.1	211/261/303	92	278	8	4	26%	4%	59	-1.6	185/229/266	80	254	7	0	29%	3%	36	-1.0
✕Andrew Caraballo 2019 · A	19	39	36→40	44→40	51	179/281/251	73	268	2	5	31%	11%	57	-1.8	181/252/259	78	304	5	8	38%	8%	47	-2.6	123/164/192	70	240	7	15	50%	5%	-6	-1.1
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Manuel Beltre 2023 · A	19	40→42	37→40	48→50	47	189/274/265	76	252	5	10	25%	8%	57	-1.8	196/275/275	79	266	5	13	26%	8%	59	-1.6	191/262/270	79	257	7	17	27%	7%	51	-1.4

Career Stats + Projections

Career Comps

Career Path Comps