Djean Macares — OGILVIE

Djean MacaresOF DSL Giants Black

Age 18 L/L 5'10" / 175 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION238 act + 22 ros · stats below = ROS only

showingROS

wRC+†76

AVG/OBP/SLG.211 / .318 / .263

PA22

HR0

K%18

BB%9

BABIP265

ISO53

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED45

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.2M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$8M	+$3M

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)
2025	17	ROK	DSL Giants Orange	—	200	154	33	3	4	0	29	26	8	7	4	214	365	286	650	71	244	13	14	300	89	-3	-0	—	—	+4	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Giants Orange	—	200	166	28	2	3	0	18	39	8	7	4	169	281	217	498	48	197	20	9	234	45	-13	-0	—	—	+4	-0.9
2025	17	ROK MLE	DSL Giants Orange	—	200	166	28	2	3	0	18	39	8	7	4	169	281	217	498	48	209	20	9	234	45	—	—	—	—	—	—
2025	17	ROK RAW	DSL Giants Orange	—	200	154	33	3	4	0	29	26	8	7	4	214	365	286	650	71	244	13	14	300	45	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Orange	—	200	172	28	2	3	0	18	39	8	7	4	163	281	209	491	47	197	20	9	234	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Giants Orange	—	200	172	28	2	3	0	18	39	8	7	4	163	281	209	491	47	197	20	9	234	45	—	—	—	—	—	—
YTD	18	ROK MLE	SF	—	238	194	45	12	1	0	25	33	11	26	5	232	352	304	656	72	271	14	11	291	83	-5	+3	+0	-1	+5	0.2
▸ 2026 season
YTD	18	ROK RAW	SF	—	238	176	51	15	1	0	41	23	11	26	5	290	448	386	834	97	323	10	17	375	83	—	—	—	—	—	—
ROS	18	ROK MLE	SF	0%	22	19	4	1	0	0	2	4	1	1	0	211	318	263	581	53	269	18	9	280	76	-1	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	SF	—	260	213	49	13	1	0	27	37	12	27	5	230	349	300	650	70	271	14	10	290	82	-5	+3	+0	-2	+6	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SF	34%	289	253	57	12	2	3	27	54	7	7	2	225	317	324	641	99	272	19	9	290	83	-6	+1	+0	-2	+6	-0.1
2028	20	MLB MLE	SF	48%	406	355	82	17	3	5	38	76	10	9	2	231	323	338	661	107	275	19	9	300	89	-5	+1	+0	-2	+9	0.2
2029	21	MLB MLE	SF	54%	492	430	100	20	3	8	47	91	12	9	2	233	325	349	674	116	277	18	10	306	93	-4	+1	+0	-3	+11	0.5
2030	22	MLB MLE	SF	57%	553	482	113	23	3	9	53	102	13	10	2	234	327	351	677	116	278	18	10	311	96	-2	+1	+0	-3	+12	0.8
2031	23	MLB MLE	SF	58%	593	517	124	25	4	11	57	108	14	10	2	240	332	368	699	128	279	18	10	314	98	-1	+1	+0	-4	+13	0.9
2032	24	MLB MLE	SF	57%	620	540	130	26	4	12	60	113	15	10	2	241	333	370	704	130	280	18	10	316	100	-0	+1	+0	-4	+13	1.1
2033	25	MLB MLE	SF	57%	630	549	132	27	4	12	61	114	15	10	2	240	333	370	703	129	280	18	10	317	101	+0	+1	+0	-4	+14	1.2
2034	26	MLB MLE	SF	57%	636	555	133	27	4	12	61	115	15	10	2	240	331	368	699	128	280	18	10	317	101	+1	+1	+0	-4	+14	1.2
2035	27	MLB MLE	SF	60%	635	553	133	27	4	12	62	115	15	10	2	241	333	369	702	128	280	18	10	317	101	+1	+1	+0	-4	+14	1.2
2036	28	MLB MLE	SF	62%	630	548	131	26	4	12	62	115	15	10	2	239	333	367	700	128	279	18	10	316	100	+0	+1	-1	-4	+14	1.1
2037	29	MLB MLE	SF	63%	620	538	129	26	4	12	62	115	15	9	2	240	335	370	705	130	278	19	10	315	99	-1	+1	-1	-4	+13	0.9
2038	30	MLB MLE	SF	63%	609	530	124	25	3	11	60	114	14	9	2	234	328	355	683	121	277	19	10	312	97	-2	+1	-2	-4	+13	0.6
2039	31	MLB MLE	SF	65%	595	517	119	24	3	10	59	114	14	8	2	230	325	346	672	116	275	19	10	308	94	-4	+1	-3	-4	+13	0.3
2040	32	MLB MLE	SF	65%	576	501	113	22	3	9	57	112	13	8	2	226	320	335	656	110	271	19	10	302	90	-7	+1	-4	-3	+12	-0.0
2027	19	MLB CTX	SF	34%	99	88	20	4	1	1	9	18	2	2	1	227	313	330	643	102	267	18	9	269	83	-2	+0	+0	-1	+2	-0.1
2028	20	MLB CTX	SF	48%	197	171	38	8	1	2	19	37	5	4	1	222	318	316	634	94	270	19	10	277	89	-3	+0	+0	-1	+4	0.1
2029	21	MLB CTX	SF	54%	267	234	54	11	2	4	25	49	6	5	1	231	321	346	667	115	272	18	9	283	93	-2	+1	+0	-2	+6	0.3
2030	22	MLB CTX	SF	57%	313	273	64	13	2	5	30	58	7	6	1	234	326	352	677	117	273	19	10	287	96	-1	+1	+0	-2	+7	0.4
2031	23	MLB CTX	SF	58%	341	297	70	14	2	6	33	62	8	6	1	236	328	357	685	121	274	18	10	290	98	-1	+1	+0	-2	+7	0.6
2032	24	MLB CTX	SF	57%	353	308	71	14	2	6	34	64	8	6	1	231	323	347	670	117	275	18	10	292	100	-0	+1	+0	-2	+8	0.6
2033	25	MLB CTX	SF	57%	357	312	73	15	2	6	34	65	8	6	1	234	325	353	677	119	275	18	10	293	101	+0	+1	+0	-2	+8	0.7
2034	26	MLB CTX	SF	57%	360	313	73	15	2	6	35	65	9	6	1	233	328	351	679	118	274	18	10	294	101	+0	+1	+0	-2	+8	0.7
2035	27	MLB CTX	SF	60%	380	331	77	15	2	7	37	69	9	6	1	233	326	353	680	121	274	18	10	294	101	+0	+1	+0	-2	+8	0.7
2036	28	MLB CTX	SF	62%	389	339	79	16	2	7	38	71	9	6	1	233	326	354	680	121	274	18	10	293	100	+0	+1	-0	-2	+8	0.7
2037	29	MLB CTX	SF	63%	389	338	79	16	2	7	39	72	9	6	1	234	329	355	684	121	273	19	10	291	99	-0	+1	-1	-2	+8	0.6
2038	30	MLB CTX	SF	63%	387	337	76	15	2	6	38	73	9	6	1	226	320	335	656	110	272	19	10	288	97	-1	+1	-1	-2	+8	0.4
2039	31	MLB CTX	SF	65%	387	337	76	15	2	6	38	74	9	5	1	226	320	335	656	110	270	19	10	284	94	-3	+1	-2	-2	+8	0.2
2040	32	MLB CTX	SF	65%	374	325	73	14	2	6	37	73	9	5	1	225	321	335	656	111	266	20	10	279	90	-4	+1	-2	-2	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4593	4003	923	185	26	75	446	850	107	75	14	231	324	346	670	115	273	19	10	288	95	-16	+9	-7	-28	+100	6.0
/ 162G	—	A+C		—	650	567	131	26	4	11	63	120	15	11	2	231	324	349	673	118	273	18	10	288	95	-2	+1	-1	-4	+14	0.8
Career	—	MLE		—	8106	7053	1652	330	51	138	786	1501	196	137	32	234	328	354	682	120	277	19	10	309	95	-31	+15	-10	-47	+171	9.9
/ 162G	—	MLE		—	650	566	132	26	4	11	63	120	16	11	3	233	328	352	679	118	276	18	10	309	95	-3	+1	-1	-4	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#3Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#4Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.2	4,788	82	79	236	325	356	-29	+0	8.7	7.4
/162	664	11	11	-4.0	+0.0	1.2	pk7: 6
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	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
Djean Macares (OGILVIE)	18	35	20	45	55	215/310/288	73	269	1	10	19%	9%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nolan Beltran 2023 · A	18	44→49	35→40	45	54	202/283/260	58	244	2	7	17%	9%	59	-1.7	199/268/277	78	256	5	6	23%	8%	57	-1.8	204/291/293	90	251	7	4	20%	10%	67	-0.4
✕Felipe Burin 2010 · A	18	42	36→40	42→45	46	198/250/263	64	243	3	5	19%	6%	45	-2.7	232/298/304	72	286	3	5	18%	8%	73	-0.6	236/304/302	66	296	2	3	19%	8%	74	-0.2
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Nelson Quiroz 2021 · A	19	44	37→40	47→40	45	209/268/279	70	271	5	6	24%	7%	56	-1.9	225/291/332	107	274	8	5	20%	8%	77	-0.3	252/305/321	69	287	2	0	12%	6%	75	-0.1
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Jorbit Vivas 2019 · A	18	41→51	35→45	51→50	46	190/270/254	64	256	2	15	24%	7%	53	-2.1	230/299/329	99	282	6	10	20%	6%	80	-0.1	244/324/361	117	272	11	9	14%	7%	95	+0.9
✕Roynier Hernandez 2023 · A	18	44→51	34→30	46→50	52	204/278/258	54	261	2	8	21%	9%	56	-1.9	234/302/288	54	298	1	9	20%	9%	71	-0.8	250/313/298	48	318	0	9	20%	8%	75	-0.2
✕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
✕Jeffer Patino 2007 · A	18	45	37→45	49→45	47	211/274/288	78	271	3	8	22%	7%	61	-1.5	220/284/302	82	271	5	5	19%	7%	68	-1.0	213/266/288	75	257	5	3	18%	6%	55	-0.6
✕Kleininger Teran 2007 · A	18	43	36→30	46→45	46	204/263/271	66	266	4	5	24%	7%	52	-2.2	214/282/273	59	266	2	5	19%	8%	60	-1.6	228/286/289	61	277	1	3	17%	7%	62	-0.6
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Ronier Lascarro 2019 · A	18	43	35→40	47→50	47	199/274/261	62	291	2	7	30%	9%	55	-1.9	201/287/276	75	282	4	9	27%	10%	63	-1.3	200/308/280	80	249	4	10	19%	12%	70	-0.4
✕Edgar Herrera 2015 · A	18	45	35→40	45	49	210/276/267	56	270	2	8	22%	8%	56	-1.9	218/265/273	55	258	1	6	15%	5%	53	-2.1	231/273/279	48	262	0	4	11%	4%	54	-0.7
✕Peterson Plaz 2017 · A	18	45	34→30	43→50	44	211/258/257	46	261	3	10	20%	6%	47	-2.6	232/283/277	45	278	2	11	16%	6%	61	-1.5	257/308/279	22	296	0	13	12%	6%	67	-0.3
✕Juan Hernandez 2014 · A	18	45	35→30	50→55	46	210/262/265	54	257	3	13	19%	6%	51	-2.3	232/294/275	43	292	2	15	19%	7%	65	-1.2	239/311/278	39	297	2	17	18%	8%	68	-0.3
✕Eliezer Álvarez 2013 · A	18	38→48	37→45	46→55	47	183/255/256	73	241	5	11	25%	8%	47	-2.6	207/259/305	98	267	5	11	23%	6%	59	-1.7	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Iraj Serrano 2017 · A	18	38	35→30	50	50	178/255/236	59	221	2	10	20%	8%	43	-2.8	208/295/256	48	264	1	10	19%	9%	62	-1.4	206/304/235	29	266	0	10	20%	10%	59	-0.6
✕Carlos Soler 2018 · A	18	39	37→45	46→45	39	187/248/267	80	274	3	8	31%	6%	47	-2.6	216/272/305	89	319	3	8	31%	6%	63	-1.3	238/290/344	106	352	2	8	31%	5%	76	-0.2
✕Vicmal De La Cruz 2012 · A	18	48	37→40	50	53	224/302/310	86	274	3	10	18%	9%	76	-0.4	188/245/267	79	274	5	6	31%	6%	45	-2.7	150/201/214	65	228	4	3	35%	5%	14	-1.3
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3

Career Stats + Projections

Career Comps

Career Path Comps