Greylin De La Paz

SS ACL Angels

Age 20 R/R 6'1" / 170 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1401ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKLAA	152	.220/.368/.260	1	13	26	—	.138/.263/.146
2025	18	ROKLAA	216	.300/.441/.418	1	9	72	—	.210/.329/.293
2026	19	ROKLAA	132	.263/.443/.313	0	0	59	—	.189/.313/.225
2027PROJMLE	20	MLBLAA	242	.204/.289/.279	2	4	64	0.0
2028PROJ34% MLB	21	MLBLAA	42	.208/.293/.295	0	1	70	0.0
2029PROJ48% MLB	22	MLBLAA	103	.212/.297/.309	1	2	75	0.0

Next 3 projected WAR 0.0Projected 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%91

wRC+66

wOBA56

Z-Con%56

Whiff%36

K%34

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 96%

CompsRyan Vega (age 19) · Steven Mateo (age 20) · Yeison Asencio (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 68 proj PA

wRC+†64

AVG/OBP/SLG.202 / .286 / .277

PA68

HR1

K%28

BB%9

ISO75

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$9M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED50

scouting grade only

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$0.7M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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)
2024	17	ROK	DSL Angels	—	152	123	27	2	0	1	23	40	6	13	3	220	368	260	629	41	317	26	15	308	26	—	—	—	—	—	—
2025	18	ROK	DSL Angels	—	216	170	51	11	3	1	39	37	4	9	7	300	441	418	859	118	370	17	18	388	72	—	—	—	—	—	—
2026	19	ROK	ACL Angels	—	132	99	26	3	1	0	31	33	1	0	1	263	443	313	756	51	388	25	23	362	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Angels	—	152	130	18	1	0	0	16	47	6	13	3	138	263	146	409	8	216	31	11	206	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	216	181	38	8	2	1	28	45	4	9	7	210	329	293	621	83	254	21	13	275	72	—	—	—	—	—	—
2026	19	ROK MLE	ACL Angels	—	132	111	21	2	1	0	19	48	1	0	1	189	313	225	538	36	320	36	14	256	59	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	152	130	18	1	0	0	16	47	6	13	3	138	263	146	409	8	217	31	11	206	26	—	—	—	—	—	—
2024	17	ROK RAW	DSL Angels	—	152	123	27	2	0	1	23	40	6	13	3	220	368	260	629	41	317	26	15	308	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	216	181	38	8	2	1	28	45	4	9	7	210	329	293	621	83	268	21	13	275	72	—	—	—	—	—	—
2025	18	ROK RAW	DSL Angels	—	216	170	51	11	3	1	39	37	4	9	7	300	441	418	859	118	370	17	18	388	72	—	—	—	—	—	—
2026	19	ROK MLE	ACL Angels	—	132	111	21	2	1	0	19	48	1	0	1	189	313	225	538	36	328	36	14	256	59	—	—	—	—	—	—
2026	19	ROK RAW	ACL Angels	—	132	99	26	3	1	0	31	33	1	0	1	263	443	313	756	51	388	25	23	362	59	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	152	129	18	1	0	0	16	47	6	13	3	140	263	147	410	8	216	31	11	206	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	216	182	38	8	2	1	28	45	4	9	7	209	329	291	620	82	254	21	13	275	72	—	—	—	—	—	—
2026	19	ROK MLE	ACL Angels	—	132	111	21	2	1	0	19	48	1	0	1	189	313	225	538	36	320	36	14	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Angels	—	152	129	18	1	0	0	16	47	6	13	3	140	263	147	410	8	216	31	11	206	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	216	182	38	8	2	1	28	45	4	9	7	209	329	291	620	82	254	21	13	275	72	—	—	—	—	—	—
2026	19	ROK MLE	ACL Angels	—	132	111	21	2	1	0	19	48	1	0	1	189	313	225	538	36	320	36	14	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAA	0%	242	214	44	7	2	2	23	68	3	4	1	204	289	279	568	75	285	28	10	263	64	-10	+0	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAA	34%	122	108	23	4	1	1	12	34	1	2	1	209	294	297	591	88	287	28	10	272	70	-4	+0	+0	+1	+3	-0.0
2029	22	MLB MLE	LAA	48%	212	188	40	7	1	3	20	58	2	4	1	213	298	311	609	98	288	27	9	279	75	-6	+0	+0	+2	+5	0.1
2030	23	MLB MLE	LAA	54%	307	271	59	10	2	5	29	82	4	6	2	217	301	322	623	105	289	27	9	284	78	-8	+0	+0	+3	+7	0.3
2031	24	MLB MLE	LAA	55%	380	337	74	13	2	7	36	101	4	7	2	220	303	331	634	111	290	27	9	288	81	-8	+1	+0	+4	+8	0.5
2032	25	MLB MLE	LAA	56%	421	373	83	14	3	8	40	111	5	8	2	222	305	336	641	115	291	26	10	291	83	-8	+1	+0	+5	+9	0.6
2033	26	MLB MLE	LAA	56%	444	394	87	15	3	8	42	117	5	8	3	222	305	337	642	115	290	26	9	291	83	-9	+0	+0	+5	+10	0.6
2034	27	MLB MLE	LAA	55%	452	401	88	15	3	8	43	120	5	8	3	221	304	334	638	114	290	27	10	290	82	-10	+0	+0	+5	+10	0.6
2035	28	MLB MLE	LAA	55%	453	402	88	15	3	8	43	121	5	7	3	219	302	330	632	111	289	27	9	287	81	-10	+0	-1	+5	+10	0.4
2036	29	MLB MLE	LAA	53%	445	395	87	15	3	8	42	120	5	7	3	217	299	324	623	107	288	27	9	284	78	-12	+0	-1	+5	+10	0.2
2037	30	MLB MLE	LAA	53%	435	387	82	14	2	7	41	119	4	6	3	214	296	316	612	103	286	27	9	279	75	-13	+0	-2	+5	+9	-0.1
2028	21	MLB CTX	LAA	34%	42	38	7	1	0	0	4	12	0	1	0	208	293	295	588	87	285	29	10	271	70	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	LAA	48%	103	91	19	3	1	1	10	28	1	2	1	212	297	309	606	97	286	27	10	278	75	-3	+0	+0	+1	+2	0.0
2030	23	MLB CTX	LAA	54%	166	147	32	5	1	3	16	45	2	3	1	216	300	320	620	105	287	27	10	283	78	-4	+0	+0	+2	+4	0.1
2031	24	MLB CTX	LAA	55%	211	187	41	7	1	4	20	56	2	4	1	219	302	329	631	110	288	27	9	287	81	-5	+0	+0	+2	+5	0.3
2032	25	MLB CTX	LAA	56%	236	209	46	8	1	4	22	62	3	4	1	220	304	335	638	114	288	26	9	290	83	-5	+0	+0	+3	+5	0.3
2033	26	MLB CTX	LAA	56%	250	221	49	8	2	5	24	66	3	5	1	220	304	335	639	115	288	26	10	290	83	-5	+1	+0	+3	+5	0.4
2034	27	MLB CTX	LAA	55%	250	221	49	8	2	5	24	66	3	5	1	219	303	333	635	113	288	26	10	289	82	-5	+1	+0	+3	+5	0.3
2035	28	MLB CTX	LAA	55%	248	220	47	8	1	4	23	66	3	4	1	218	301	328	629	110	287	27	9	286	81	-6	+0	-0	+3	+5	0.2
2036	29	MLB CTX	LAA	53%	238	211	45	7	1	4	22	64	3	4	1	215	298	322	620	107	286	27	9	283	78	-6	+0	-1	+3	+5	0.1
2037	30	MLB CTX	LAA	53%	229	204	43	7	1	4	21	62	2	3	1	213	295	315	609	102	284	27	9	278	75	-7	+0	-1	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1973	1749	378	62	11	34	186	527	22	35	9	216	299	322	622	106	287	27	9	285	76	-47	+3	-2	+21	+43	1.8
/ 162G	—	A+C		—	650	576	124	20	4	11	61	174	7	12	3	215	298	321	619	106	287	27	9	285	76	-16	+1	-1	+7	+14	0.6
Career	—	MLE		—	4239	3739	800	135	26	65	417	1142	52	86	34	214	302	316	618	102	288	27	10	281	76	-92	+4	-4	+40	+81	2.9
/ 162G	—	MLE		—	650	573	123	21	4	10	64	175	8	13	5	215	302	318	619	103	289	27	10	281	76	-16	+1	-1	+7	+14	0.5

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 ROKACL Angels · 132 PAwOBA .357 → .256 (−101)K% 25.0% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.000	×1.440	—	—	36.00%
BB% (unintentional) /PA	23.48%	÷1.000	×0.620	—	×1.008	14.67%
HBP% /PA	0.76%	—	×0.720	—	×1.008	0.55%
Singles /BIP	33.33%	÷1.000	×0.820	×1.017	×1.008	28.01%
Doubles /BIP	4.55%	÷1.000	×0.720	×1.017	×1.008	3.35%
Triples /BIP	1.52%	÷1.000	×0.720	×1.017	×1.008	1.12%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK 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 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .357 → .256; ISO .051 → .036; BABIP .388 → .320. 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 Angels · 216 PAwOBA .384 → .275 (−110)K% 17.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.13%	÷1.007	×1.220	—	—	20.75%
BB% (unintentional) /PA	18.06%	÷0.973	×0.700	—	×1.008	13.08%
HBP% /PA	1.85%	—	×0.700	—	×1.008	1.31%
Singles /BIP	27.07%	÷0.990	×0.680	×1.019	×1.008	19.09%
Doubles /BIP	8.27%	÷0.920	×0.600	×1.019	×1.008	5.54%
Triples /BIP	2.26%	÷1.110	×0.600	×1.019	×1.008	1.25%
Home runs /BIP	0.75%	÷0.975	×0.470	—	×1.008	0.37%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 84, 3B 122, K 101, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .384 → .275; ISO .118 → .075; BABIP .370 → .254. 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).

2024 DSLDSL Angels · 152 PAwOBA .301 → .206 (−96)K% 26.3% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.038	×1.220	—	—	30.93%
BB% (unintentional) /PA	15.13%	÷1.064	×0.700	—	×1.022	10.18%
HBP% /PA	3.95%	—	×0.700	—	×1.022	2.83%
Singles /BIP	28.92%	÷1.052	×0.680	×1.050	×1.022	20.07%
Doubles /BIP	2.41%	÷1.081	×0.600	×1.050	×1.022	1.44%
Triples /BIP	0.00%	÷0.961	×0.600	×1.050	×1.022	0.00%
Home runs /BIP	1.20%	÷1.068	×0.470	—	×1.022	0.54%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 116, 3B 92, K 108, BB 113 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .301 → .206; ISO .041 → .021; BABIP .317 → .216. 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
#1Cliff 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
#2Jose 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
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#3Gene 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
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,040	34	35	219	299	327	+22	+18	3.1	3.0
/162	664	11	12	+7.1	+5.9	1.0	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Greylin De La Paz (OGILVIE)	20	50	25	50	60	202/286/277	75	285	1	1	28%	9%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Vega 2016 · A	19	40	35→40	52→45	41	191/245/253	62	254	3	9	25%	5%	42	-2.9	219/272/310	91	283	7	7	24%	6%	65	-1.2	198/260/284	86	272	8	6	29%	6%	54	-0.9
✕Steven Mateo 2013 · A	20	38	35→30	45→50	47	180/265/239	59	261	3	6	30%	9%	47	-2.5	196/279/265	69	283	3	8	28%	10%	58	-1.7	192/270/254	63	279	2	6	29%	9%	49	-0.9
✕Yeison Asencio 2011 · A	21	37→47	38→45	49→45	47	179/244/262	83	217	5	11	20%	7%	44	-2.8	239/271/351	112	275	8	8	16%	4%	73	-0.6	270/292/382	111	295	11	6	13%	2%	86	+0.3
✕Edwin Espinal 2014 · A	20	41→51	37→45	45→30	42	198/242/268	70	254	4	5	23%	5%	43	-2.8	237/274/324	87	284	7	2	18%	4%	68	-1.0	251/290/351	100	295	10	0	18%	4%	79	-0.2
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	42	177/241/251	73	261	4	13	32%	7%	40	-3.1	211/262/329	118	307	9	6	32%	7%	65	-1.2	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Conner Capel 2017 · A	20	40→48	36→45	52→55	44	191/238/258	68	240	2	13	21%	5%	40	-3.1	210/265/335	125	281	12	11	28%	7%	68	-1.0	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕Edwin Gomez 2007 · A	19	40	34→40	52→50	45	188/248/242	54	254	2	16	26%	7%	40	-3.0	204/287/282	78	267	5	13	23%	10%	65	-1.2	191/302/269	79	238	6	17	20%	12%	68	-0.4
✕Albert Laboy 2006 · A	19	39→38	37→40	52→45	42	187/233/255	68	227	5	9	20%	4%	38	-3.2	211/255/297	86	256	8	8	20%	5%	55	-1.9	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Jhon Goncalves 2010 · A	21	38→48	37→40	48→50	40	186/244/253	67	273	5	12	32%	6%	41	-3.0	200/271/259	59	302	3	9	32%	8%	53	-2.1	202/274/273	71	279	2	12	26%	8%	56	-1.4
✕Mishael Deson 2021 · A	19	39	35→30	49→55	46	186/244/248	62	238	2	15	22%	7%	40	-3.1	220/275/285	65	332	5	13	33%	7%	60	-1.6	226/285/273	48	355	5	15	35%	7%	59	-0.6
✕Chuck Taylor 2013 · A	19	41→51	34→40	49→50	38	192/244/246	54	294	2	14	34%	6%	39	-3.1	222/285/291	69	303	3	8	26%	7%	65	-1.2	240/305/325	85	298	6	4	20%	7%	78	-0.2
✕Diego Infante 2018 · A	18	40→50	35→45	53→50	43	189/237/252	63	250	2	12	24%	6%	38	-3.2	194/238/262	68	291	3	10	32%	5%	40	-3.0	233/284/360	127	349	14	14	35%	6%	79	-0.2
✕Wascar Adames 2009 · A	20	41	35→40	51→55	40	196/238/255	60	256	3	8	24%	5%	39	-3.1	194/249/269	75	257	4	17	25%	6%	47	-2.6	178/240/255	77	234	4	26	24%	6%	41	-1.0
✕Michael Beltre 2016 · A	21	40→50	35→45	50→60	39	185/254/245	60	288	3	12	34%	7%	44	-2.8	212/276/297	85	297	4	12	28%	7%	63	-1.3	224/296/341	118	306	9	22	28%	9%	78	-0.2
✕Matthew Sulentic 2008 · A	20	39→49	37→45	46→50	42	188/239/253	66	241	4	6	24%	5%	39	-3.1	242/290/344	102	337	8	11	29%	6%	79	-0.2	256/305/351	95	360	7	13	29%	6%	83	+0.1
✕Daniel Montano 2019 · A	20	37→47	40→45	47→50	42	182/236/275	92	242	6	9	27%	6%	43	-2.8	187/232/268	81	275	5	10	32%	5%	40	-3.1	213/289/324	112	322	9	6	34%	9%	73	-0.5
✕Luis Barrera 2015 · A	19	34→44	38→45	49→50	47	168/236/246	78	214	5	7	24%	7%	37	-3.3	204/248/281	77	285	4	8	28%	5%	48	-2.5	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Corey Adamson 2012 · A	20	41→51	35→40	43→50	39	193/245/255	61	294	2	8	33%	6%	41	-3.0	207/272/285	78	288	4	14	27%	8%	59	-1.6	218/289/310	92	291	6	18	25%	8%	69	-0.5
✕Buddy Kennedy 2018 · A	19	43→53	36→45	54→50	39	197/252/278	81	302	2	9	34%	6%	49	-2.4	215/268/309	94	283	7	5	25%	6%	63	-1.4	237/323/352	115	299	9	6	22%	10%	93	+0.7
✕Eduardo Urbina 2008 · A	20	38	35→30	44→50	45	180/246/236	56	237	3	8	24%	7%	39	-3.1	194/267/260	66	258	4	8	24%	7%	53	-2.1	163/252/206	43	209	3	7	22%	8%	36	-1.0

Greylin De La Paz

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps