Jorge Drullard

SS DSL Orioles Orange

Age 19 L/R 5'10" / 154 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1407ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Orioles O…	60	.229/.383/.354	1	7	38	—	.157/.283/.255
2026	18	ROKDSL Orioles O…	70	.128/.414/.170	0	7	35	—	.094/.314/.132
2027PROJMLE	19	MLB—	180	.199/.294/.275	1	5	65	0.0
2028PROJ34% MLB	20	MLB—	33	.203/.298/.288	0	1	70	0.0
2029PROJ50% MLB	21	MLB—	95	.207/.302/.301	1	3	74	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%98

Speed91

Chase%86

wOBA43

wRC+40

K%22

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 42 proj PA

wRC+65

AVG/OBP/SLG.197 / .291 / .272

PA42

HR0

K%30

BB%10

ISO76

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$2M	—	—	—
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. 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)
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	38	—	—	—	—	—	—
2026	18	ROK	DSL Orioles Orange	—	70	47	6	0	1	0	20	20	3	7	1	128	414	170	584	43	222	29	29	319	35	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Orioles Orange	—	60	51	8	2	0	1	8	19	1	7	1	157	283	255	538	98	211	32	13	224	38	—	—	—	—	—	—
2026	18	ROK MLE	DSL Orioles Orange	—	70	53	5	0	1	0	14	24	3	7	1	94	314	132	446	38	147	34	20	220	35	—	—	—	—	—	—
2025	17	ROK MLE	DSL Orioles Orange	—	60	51	8	2	0	1	8	19	1	7	1	157	283	255	538	98	226	32	13	224	38	—	—	—	—	—	—
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	38	—	—	—	—	—	—
2026	18	ROK MLE	DSL Orioles Orange	—	70	53	5	0	1	0	14	24	3	7	1	94	314	132	446	38	172	34	20	220	35	—	—	—	—	—	—
2026	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	35	—	—	—	—	—	—
2025	17	ROK MLE	DSL Orioles Orange	—	60	51	8	2	0	1	8	19	1	7	1	157	283	255	538	98	211	32	13	224	38	—	—	—	—	—	—
2026	18	ROK MLE	DSL Orioles Orange	—	70	53	5	0	1	0	14	24	3	7	1	94	314	132	446	38	147	34	20	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Orioles Orange	—	60	51	8	2	0	1	8	19	1	7	1	157	283	255	538	98	211	32	13	224	38	—	—	—	—	—	—
2026	18	ROK MLE	DSL Orioles Orange	—	70	53	5	0	1	0	14	24	3	7	1	94	314	132	446	38	147	34	20	220	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	—	0%	180	157	31	5	2	1	19	54	2	5	1	199	294	275	568	76	289	30	11	265	65	-7	+1	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	—	34%	98	87	18	3	1	1	10	29	1	3	0	203	298	288	587	85	290	30	10	272	70	-3	+1	+0	+1	+2	0.0
2029	21	MLB MLE	—	50%	190	165	35	6	2	2	20	55	3	5	1	207	302	301	602	93	291	29	11	278	74	-6	+1	+0	+2	+4	0.1
2030	22	MLB MLE	—	58%	301	262	55	9	2	4	31	86	5	8	1	211	305	311	616	100	292	29	10	283	78	-8	+1	+0	+3	+7	0.3
2031	23	MLB MLE	—	61%	390	341	73	12	3	6	40	109	6	11	2	214	307	321	627	106	293	28	10	287	81	-9	+1	+0	+4	+8	0.5
2032	24	MLB MLE	—	63%	446	391	85	14	3	8	45	124	7	12	2	217	309	329	637	112	294	28	10	291	83	-9	+2	+0	+5	+10	0.7
2033	25	MLB MLE	—	65%	479	421	91	15	4	8	48	133	7	13	2	218	309	331	640	113	294	28	10	292	84	-9	+2	+0	+5	+10	0.8
2034	26	MLB MLE	—	65%	496	436	95	16	4	9	50	138	7	13	2	218	309	333	642	115	294	28	10	293	84	-9	+2	+0	+5	+11	0.9
2035	27	MLB MLE	—	65%	502	439	96	16	4	9	51	140	7	13	2	217	308	330	639	113	294	28	10	291	83	-10	+2	+0	+5	+11	0.8
2036	28	MLB MLE	—	65%	500	438	95	16	4	8	51	140	7	11	2	215	306	326	632	111	293	28	10	289	82	-11	+1	-1	+5	+11	0.6
2037	29	MLB MLE	—	65%	492	432	92	15	4	8	50	140	7	9	2	213	304	320	624	107	292	28	10	285	79	-12	+1	-1	+5	+11	0.3
2038	30	MLB MLE	—	65%	480	423	88	15	3	7	48	138	6	7	1	210	300	312	613	102	290	29	10	281	76	-14	+1	-2	+5	+10	0.1
2039	31	MLB MLE	—	65%	465	410	85	14	3	7	46	135	6	3	1	206	296	303	599	97	287	29	10	275	72	-15	+0	-3	+5	+10	-0.3
2028	20	MLB CTX	—	34%	33	30	5	1	0	0	3	10	0	1	0	203	298	288	587	85	290	30	9	272	70	-1	+0	+0	+0	+1	0.0
2029	21	MLB CTX	—	50%	95	84	18	3	1	1	10	27	1	3	0	207	302	301	602	93	291	28	11	278	74	-3	+1	+0	+1	+2	0.1
2030	22	MLB CTX	—	58%	174	151	31	5	1	2	18	49	3	5	1	211	305	311	616	100	292	28	10	283	78	-5	+1	+0	+2	+4	0.2
2031	23	MLB CTX	—	61%	240	210	45	7	2	4	24	67	4	7	1	214	307	321	627	106	293	28	10	287	81	-6	+1	+0	+3	+5	0.3
2032	24	MLB CTX	—	63%	281	247	54	9	2	5	28	78	4	8	1	217	309	329	637	112	294	28	10	291	83	-6	+1	+0	+3	+6	0.5
2033	25	MLB CTX	—	65%	311	272	59	10	2	5	31	86	5	9	2	218	309	331	640	113	294	28	10	292	84	-6	+1	+0	+3	+7	0.5
2034	26	MLB CTX	—	65%	322	281	61	10	2	6	33	89	5	9	2	218	309	333	642	115	294	28	10	293	84	-6	+1	+0	+3	+7	0.5
2035	27	MLB CTX	—	65%	326	285	62	10	2	6	33	91	5	8	2	217	308	330	639	113	294	28	10	291	83	-6	+1	+0	+3	+7	0.5
2036	28	MLB CTX	—	65%	325	284	61	10	2	6	33	91	5	7	1	215	306	326	632	111	293	28	10	289	82	-7	+1	-0	+3	+7	0.4
2037	29	MLB CTX	—	65%	320	281	59	10	2	5	32	91	4	6	1	213	304	320	624	107	292	28	10	285	79	-8	+1	-1	+3	+7	0.2
2038	30	MLB CTX	—	65%	312	274	57	9	2	5	31	90	4	4	1	210	300	312	613	102	290	29	10	281	76	-9	+0	-1	+3	+7	0.0
2039	31	MLB CTX	—	65%	302	265	55	9	2	4	30	88	4	2	1	206	296	303	599	97	287	29	10	275	72	-10	+0	-2	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3041	2664	567	93	20	49	306	857	44	69	13	213	304	318	622	105	292	28	10	287	79	-72	+9	-5	+33	+66	3.1
/ 162G	—	A+C		—	650	569	121	20	4	10	65	183	9	15	3	213	303	315	617	102	292	28	10	287	79	-15	+2	-1	+7	+14	0.7
Career	—	MLE		—	5011	4386	927	154	38	78	516	1423	74	123	20	211	305	317	622	106	292	28	10	284	79	-117	+15	-7	+52	+106	4.9
/ 162G	—	MLE		—	650	569	120	20	5	10	67	185	10	16	3	211	305	316	622	105	292	28	10	284	79	-16	+2	-1	+7	+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 DSLDSL Orioles Orange · 70 PAwOBA .313 → .220 (−93)K% 28.6% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.000	×1.220	—	—	34.86%
BB% (unintentional) /PA	28.57%	÷1.000	×0.700	—	×0.995	19.90%
HBP% /PA	4.29%	—	×0.700	—	×0.995	2.98%
Singles /BIP	18.52%	÷1.000	×0.680	—	×0.995	12.53%
Doubles /BIP	0.00%	÷1.000	×0.600	—	×0.995	0.00%
Triples /BIP	3.70%	÷1.000	×0.600	—	×0.995	2.21%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .313 → .220; ISO .043 → .028; BABIP .222 → .147. 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).

2025 DSLDSL Orioles Orange · 60 PAwOBA .337 → .224 (−113)K% 26.7% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.009	×1.220	—	—	32.24%
BB% (unintentional) /PA	18.33%	÷1.001	×0.700	—	×1.008	12.91%
HBP% /PA	1.67%	—	×0.700	—	×1.008	1.18%
Singles /BIP	21.88%	÷0.989	×0.680	—	×1.008	15.15%
Doubles /BIP	9.38%	÷1.010	×0.600	—	×1.008	5.61%
Triples /BIP	0.00%	÷1.150	×0.600	—	×1.008	0.00%
Home runs /BIP	3.12%	÷0.913	×0.470	—	×1.008	1.62%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 98, 2B 102, 3B 130, K 102, BB 100 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .337 → .224; ISO .125 → .070; BABIP .323 → .211. 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
#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	221	297	378	+3.2	+7.3	2.2	pk7: 12
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
	/162	664	8	16	227*	307*	330*	+7.1	+2.5	1.3	pk7: 11
#3Cliff 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	243	310	341	+5.9	+6.2	2.0	pk7: 10
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	/162	664	4	15	240*	300*	338*	+7.1	+5.3	1.5	pk7: 8
#5Jace 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	228	318	337	+1.0	+1.3	1.3	pk7: 7
#6Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
#6Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	/162	664	3	5	233*	291*	316*	+6.8	+5.8	1.0	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.6	3,084	49	69	215	303	322	+33	+24	5.3	4.9
	/162	664	11	15	215	303	322	+7.1	+5.2	1.1	pk7: 5

Jorge Drullard

Career Stats + Projections

How the minor-league lines were translated

Career Comps