Jorge Drullard — OGILVIE

Jorge DrullardSS DSL Orioles Orange

Age 18 L/R 5'10" / 154 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION70 act + 6 ros · stats below = ROS only

showingROS

wRC+61

AVG/OBP/SLG.200 / .333 / .200

PA6

HR0

K%33

BB%17

BABIP280

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$21M ctrl surplus

Tools · Contract

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	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$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 Orioles Orange	—	60	48	11	3	0	1	11	16	1	7	1	229	383	354	738	125	323	27	18	345	119	+1	+1	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Orioles Orange	—	60	52	8	2	0	1	7	23	1	7	1	154	267	250	517	96	255	38	12	233	44	-4	+1	—	—	+1	-0.2
2025	17	ROK MLE	DSL Orioles Orange	—	60	52	8	2	0	1	7	23	1	7	1	154	267	250	517	96	250	38	12	233	44	—	—	—	—	—	—
2025	17	ROK RAW	DSL Orioles Orange	—	60	48	11	3	0	1	11	16	1	7	1	229	383	354	738	125	323	27	18	345	44	—	—	—	—	—	—
2025	17	ROK MLE	DSL Orioles Orange	—	60	52	8	2	0	1	7	23	1	7	1	154	267	250	517	96	255	38	12	233	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Orioles Orange	—	60	52	8	2	0	1	7	23	1	7	1	154	267	250	517	96	255	38	12	233	44	—	—	—	—	—	—
YTD	18	ROK MLE	DSL Orioles Orange	—	70	55	5	0	1	0	12	29	3	7	1	91	286	127	413	36	192	41	17	211	29	-6	+1	+0	+1	+2	-0.3
▸ 2026 season
YTD	18	ROK RAW	DSL Orioles Orange	—	70	47	6	0	1	0	20	20	3	7	1	128	414	170	584	43	222	29	29	319	29	—	—	—	—	—	—
ROS	18	ROK MLE	—	0%	6	5	1	0	0	0	1	2	0	0	0	200	333	200	533		280	33	17	258	61	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	—	—	76	60	6	0	1	0	13	31	3	7	1	100	289	133	423	33	207	41	17	215	31	-6	+1	+0	+1	+2	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	—	34%	154	134	26	4	1	2	16	48	3	4	1	194	294	284	578	90	283	31	10	269	68	-6	+0	+0	+2	+3	-0.0
2028	20	MLB MLE	—	48%	301	261	52	9	2	4	32	91	5	9	1	199	299	295	594	96	285	30	11	277	74	-9	+1	+0	+3	+7	0.2
2029	21	MLB MLE	—	54%	414	359	73	12	3	7	44	123	8	12	2	203	304	312	616	109	287	30	11	283	78	-11	+2	+0	+4	+9	0.4
2030	22	MLB MLE	—	57%	495	431	90	15	4	9	52	146	9	14	2	209	307	325	632	116	288	29	11	287	80	-12	+2	+0	+5	+11	0.7
2031	23	MLB MLE	—	58%	550	477	99	16	4	10	58	162	10	16	2	208	306	321	627	113	289	29	11	289	82	-12	+2	+0	+6	+12	0.9
2032	24	MLB MLE	—	57%	586	508	107	18	4	11	62	172	11	17	2	211	310	327	637	116	290	29	11	291	83	-12	+3	+0	+6	+13	1.0
2033	25	MLB MLE	—	57%	607	527	111	18	5	12	64	178	11	17	2	211	309	332	641	121	290	29	11	293	84	-11	+3	+0	+7	+13	1.1
2034	26	MLB MLE	—	57%	618	535	113	19	5	12	66	181	12	17	2	211	312	333	644	121	290	29	11	293	85	-11	+3	+0	+7	+13	1.2
2035	27	MLB MLE	—	55%	620	536	113	19	5	12	67	182	12	18	2	211	312	332	644	121	290	29	11	294	85	-11	+3	+0	+7	+13	1.2
2036	28	MLB MLE	—	55%	617	533	112	18	5	12	67	182	12	17	2	210	312	330	642	120	289	29	11	293	84	-12	+3	-1	+7	+13	1.1
2037	29	MLB MLE	—	58%	608	526	109	18	4	12	66	181	11	15	2	207	308	325	634	118	289	30	11	291	83	-12	+2	-1	+7	+13	0.8
2038	30	MLB MLE	—	60%	598	517	106	17	4	11	65	179	11	13	2	205	307	317	624	112	288	30	11	288	81	-13	+2	-2	+6	+13	0.6
2039	31	MLB MLE	—	62%	584	504	102	17	4	10	64	177	11	11	2	202	306	312	617	109	285	30	11	285	79	-15	+1	-3	+6	+13	0.3
2040	32	MLB MLE	—	63%	566	489	98	15	4	10	62	174	10	9	1	200	303	309	612	108	282	31	11	280	75	-17	+1	-4	+6	+12	-0.0
2027	19	MLB CTX	—	34%	53	46	8	1	0	1	6	17	1	2	0	174	283	261	544	87	283	32	11	269	68	-2	+0	+0	+1	+1	0.0
2028	20	MLB CTX	—	48%	146	126	25	4	1	2	16	44	3	4	1	198	303	294	597	95	285	30	11	277	74	-5	+0	+0	+2	+3	0.1
2029	21	MLB CTX	—	54%	225	195	41	7	2	4	24	67	4	6	1	210	309	328	638	118	287	30	11	283	78	-6	+1	+0	+2	+5	0.2
2030	22	MLB CTX	—	57%	280	243	50	8	2	5	30	83	5	8	1	206	306	317	623	111	288	30	11	287	80	-7	+1	+0	+3	+6	0.4
2031	23	MLB CTX	—	58%	317	274	58	10	2	6	34	93	6	9	1	212	312	328	641	117	289	29	11	289	82	-7	+1	+0	+3	+7	0.5
2032	24	MLB CTX	—	57%	334	290	61	10	3	6	35	98	6	9	1	210	308	328	636	117	290	29	10	291	83	-7	+1	+0	+4	+7	0.6
2033	25	MLB CTX	—	57%	344	298	63	10	3	7	37	101	6	10	1	211	311	336	646	124	290	29	11	293	84	-6	+2	+0	+4	+7	0.6
2034	26	MLB CTX	—	57%	350	303	65	11	3	7	37	103	7	10	1	215	314	340	654	125	290	29	11	293	85	-6	+2	+0	+4	+8	0.7
2035	27	MLB CTX	—	55%	344	298	63	10	3	7	37	101	6	10	1	211	311	336	646	124	290	29	11	294	85	-6	+2	+0	+4	+7	0.7
2036	28	MLB CTX	—	55%	339	293	61	10	2	7	37	100	6	9	1	208	310	328	637	119	289	29	11	293	84	-6	+1	-0	+4	+7	0.6
2037	29	MLB CTX	—	58%	353	305	64	10	3	7	38	105	7	9	1	210	311	331	643	121	289	30	11	291	83	-7	+1	-1	+4	+8	0.5
2038	30	MLB CTX	—	60%	360	311	64	10	3	7	39	108	7	8	1	206	308	325	633	119	288	30	11	288	81	-8	+1	-1	+4	+8	0.4
2039	31	MLB CTX	—	62%	361	312	62	10	2	6	39	109	7	7	1	199	302	301	603	103	285	30	11	285	79	-9	+1	-2	+4	+8	0.2
2040	32	MLB CTX	—	63%	355	307	61	10	2	6	39	109	6	6	1	199	301	303	604	104	282	31	11	280	75	-10	+1	-2	+4	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4161	3601	746	121	31	78	448	1238	77	107	13	207	308	323	631	116	289	30	11	288	81	-92	+16	-6	+45	+90	5.3
/ 162G	—	A+C		—	650	563	117	19	5	12	70	193	12	17	2	208	309	323	632	115	290	30	11	288	81	-14	+3	-1	+7	+14	0.8
Career	—	MLE		—	7384	6394	1320	217	54	135	793	2201	137	196	26	206	307	321	628	114	289	30	11	288	81	-164	+28	-10	+78	+159	9.3
/ 162G	—	MLE		—	650	563	116	19	5	12	70	194	12	17	2	206	307	321	628	115	289	30	11	288	81	-15	+2	-1	+7	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Cliff 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
#5Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.4	4,222	77	108	208	305	322	+45	+27	8.2	7.0
/162	664	12	17	+7.1	+4.2	1.3	pk7: 6
#6Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7

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
Jorge Drullard (OGILVIE)	18	—	—	—	—	182/285/258	76	280	0	2	32%	11%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mario Gonzalez 2010 · A	18	42	34→40	46→40	41	197/238/251	54	258	2	7	24%	5%	38	-3.2	203/281/267	64	256	3	5	20%	9%	59	-1.6	192/291/251	59	236	4	3	18%	10%	61	-0.5
✕Luis Paz 2014 · A	18	36→33	36→45	47→40	43	176/243/239	63	244	4	6	28%	7%	38	-3.2	178/231/250	72	257	4	6	30%	6%	36	-3.4	183/225/313	130	264	14	3	36%	5%	45	-1.2
✕Juan Kelly 2013 · A	19	38→48	35→45	47→45	45	182/245/240	58	244	2	6	25%	7%	39	-3.1	201/274/271	70	258	4	8	22%	9%	57	-1.8	214/276/340	126	294	11	3	30%	7%	72	-0.6
✕Joey Curletta 2013 · A	19	39→48	36→50	48→45	35	180/239/242	62	304	3	5	40%	6%	37	-3.3	213/263/301	88	293	7	5	28%	6%	59	-1.6	207/272/364	156	289	20	4	34%	8%	77	-0.3
✕Danny Contreras 2016 · A	18	36	39→40	47→50	39	179/230/266	87	246	6	6	30%	5%	39	-3.1	182/250/254	72	261	5	7	30%	8%	45	-2.7	177/244/240	63	254	5	8	30%	8%	37	-1.1
✕David Medina 2009 · A	20	35→42	36→45	45→40	41	169/243/235	66	277	4	5	38%	8%	38	-3.2	203/262/301	98	313	8	4	35%	7%	59	-1.6	198/249/305	107	301	9	2	36%	6%	52	-1.2
✕Henry Gonzalez 2010 · A	18	35	38→40	47→40	43	170/243/242	72	259	5	5	34%	8%	39	-3.1	177/255/259	82	267	7	5	34%	8%	48	-2.5	120/218/191	71	172	9	3	34%	9%	18	-1.6
✕Erick Gonzalez 2011 · A	20	38	34→40	43→50	42	182/243/237	55	268	2	7	31%	7%	37	-3.3	210/295/284	74	272	3	10	22%	10%	68	-1.0	214/322/287	73	261	2	14	16%	13%	77	-0.1
✕Jimmy Paredes 2008 · A	19	41→51	37→45	46→55	36	198/228/273	75	253	4	6	24%	3%	39	-3.1	217/248/300	83	275	4	12	22%	3%	53	-2.1	251/280/375	124	344	12	15	30%	4%	80	-0.1
✕K.J. Woods 2015 · A	20	41→39	36→45	45→30	33	181/242/244	63	341	4	6	45%	6%	39	-3.1	193/261/305	112	336	12	3	43%	7%	61	-1.5	179/252/297	117	308	13	0	43%	7%	53	-1.2
✕Griffin Benson 2017 · A	19	39→25	36→45	47→30	38	188/238/247	58	273	3	4	31%	5%	37	-3.3	181/243/262	81	296	7	4	38%	6%	44	-2.8	154/228/257	103	263	11	2	43%	7%	35	-1.4
✕Freddvil Chevez 2019 · A	19	35	39→40	48→30	39	177/232/258	81	240	7	4	29%	5%	38	-3.2	207/257/290	83	261	7	3	23%	4%	55	-2.0	195/240/265	70	248	7	0	24%	4%	41	-0.9
✕Telvin Nash 2010 · A	19	39→23	37→55	44→30	34	183/231/257	75	305	4	5	40%	6%	37	-3.3	190/252/331	141	328	17	3	44%	7%	63	-1.3	171/258/352	181	270	27	1	45%	9%	69	-0.3
✕Axel Wel 2011 · A	20	38	35→45	44→40	48	180/247/238	59	223	3	5	20%	7%	40	-3.1	201/261/302	101	249	9	6	22%	7%	59	-1.6	190/248/312	122	221	13	4	20%	6%	54	-0.7
✕Matt Dean 2013 · A	20	40→49	38→45	48→40	31	181/228/264	83	330	5	6	44%	5%	38	-3.2	218/260/327	109	337	9	5	36%	4%	64	-1.3	216/260/330	114	328	10	3	36%	4%	61	-1.0
✕Yonathan Mejia 2012 · A	19	42	36→40	48→45	35	202/234/265	63	275	3	5	27%	3%	39	-3.1	209/242/276	67	271	4	6	23%	4%	45	-2.7	204/236/269	66	258	5	5	23%	4%	39	-1.1
✕Jonas Lantigua 2014 · A	19	40	35→30	43→45	36	189/234/253	63	281	2	3	32%	5%	37	-3.3	191/237/276	85	299	6	4	36%	5%	44	-2.8	165/205/254	89	260	8	3	39%	5%	25	-1.0
●Balbino Fuenmayor 2009 · A	19	39→49	38→50	40→30	31	185/230/263	78	309	5	3	40%	4%	38	-3.2	194/224/286	92	312	8	2	39%	3%	40	-3.0	277/304/419	143	324	17	0	20%	3%	100	+0.8
✕Juaner Aguasvivas 2008 · A	18	41	36→40	46→30	36	184/246/240	56	324	4	4	42%	7%	40	-3.1	180/234/271	91	291	10	3	40%	5%	42	-2.9	172/214/292	120	250	16	2	38%	4%	38	-1.2
✕Rainer Nunez 2021 · A	20	37→47	38→45	39→30	41	183/233/262	79	235	6	4	25%	5%	39	-3.1	222/268/349	127	291	15	2	28%	5%	73	-0.6	223/262/347	125	295	16	0	30%	4%	67	-0.7

Career Stats + Projections

Career Comps

Career Path Comps