Junior Suriel

OF DSL Angels

Age 18 R/R 6'0" / 160 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#1497ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	16	ROKLAA	133	.289/.348/.413	1	7	42	—	.195/.250/.260
2026	17	ROKLAA	177	.295/.430/.396	1	31	61	—	.203/.314/.270
2027PROJMLE	18	MLBLAA	287	.228/.295/.318	3	6	75	-0.1
2028PROJ34% MLB	19	MLBLAA	50	.231/.301/.332	1	1	81	-0.0
2029PROJ48% MLB	20	MLBLAA	123	.235/.306/.346	2	2	86	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 Rk

Z-Con%94

Speed93

K%87

Whiff%75

wOBA71

wRC+67

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 3% · didn't stick 92%

CompsYermín Mercedes (age 19) · John Silviano (age 19) · Kevin Berard (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 92 proj PA

wRC+†75

AVG/OBP/SLG.226 / .293 / .315

PA92

HR1

K%22

BB%8

ISO90

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Arb-1	$2M	+0.5	$1M	+$0.0M
2035	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2036	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$5M		$6M	+$0.9M

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	16	ROK	DSL Angels	—	133	121	35	8	2	1	8	13	3	7	0	289	348	413	762	124	318	10	6	339	42	—	—	—	—	—	—
2026	17	ROK	DSL Angels	—	177	139	41	7	2	1	30	24	3	31	8	295	430	396	826	101	342	14	17	370	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL Angels	—	133	123	24	6	1	0	6	16	3	7	0	195	250	260	510	65	221	12	5	230	42	—	—	—	—	—	—
2026	17	ROK MLE	DSL Angels	—	177	148	30	5	1	1	21	29	3	31	8	203	314	270	584	68	227	16	12	259	61	—	—	—	—	—	—
2025	16	ROK MLE	DSL Angels	—	133	123	24	6	1	0	6	16	3	7	0	195	250	260	510	65	224	12	5	230	42	—	—	—	—	—	—
2025	16	ROK RAW	DSL Angels	—	133	121	35	8	2	1	8	13	3	7	0	289	348	413	762	124	318	10	6	339	42	—	—	—	—	—	—
2026	17	ROK MLE	DSL Angels	—	177	148	30	5	1	1	21	29	3	31	8	203	314	270	584	68	240	16	12	259	61	—	—	—	—	—	—
2026	17	ROK RAW	DSL Angels	—	177	139	41	7	2	1	30	24	3	31	8	295	430	396	826	101	342	14	17	370	61	—	—	—	—	—	—
2025	16	ROK MLE	DSL Angels	—	133	123	24	6	1	0	6	16	3	7	0	195	250	260	510	65	221	12	5	230	42	—	—	—	—	—	—
2026	17	ROK MLE	DSL Angels	—	177	151	30	5	1	1	21	29	3	31	8	199	314	265	579	66	227	16	12	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	16	ROK MLE	DSL Angels	—	133	123	24	6	1	0	6	16	3	7	0	195	250	260	510	65	221	12	5	230	42	—	—	—	—	—	—
2026	17	ROK MLE	DSL Angels	—	177	151	30	5	1	1	21	29	3	31	8	199	314	265	579	66	227	16	12	259	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	LAA	0%	287	260	60	10	3	3	22	64	3	6	1	228	295	318	613	90	289	22	8	278	75	-9	+1	-2	-2	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	LAA	34%	145	131	30	5	1	2	11	32	2	3	1	233	302	334	636	102	291	22	8	288	81	-3	+0	-1	-1	+3	-0.2
2029	20	MLB MLE	LAA	48%	253	228	54	9	2	4	20	55	3	4	1	237	307	348	655	112	293	22	8	295	86	-4	+0	-1	-2	+5	-0.1
2030	21	MLB MLE	LAA	54%	372	335	81	14	3	7	29	81	5	6	2	240	311	360	671	120	294	22	8	302	90	-4	+0	-2	-2	+8	0.0
2031	22	MLB MLE	LAA	57%	456	411	99	17	4	9	36	99	6	7	2	242	314	369	683	127	295	22	8	306	93	-4	+1	-2	-3	+10	0.3
2032	23	MLB MLE	LAA	58%	511	458	112	19	4	11	41	111	7	7	2	244	316	377	692	133	296	22	8	310	96	-2	+1	-1	-3	+11	0.5
2033	24	MLB MLE	LAA	57%	550	493	121	21	4	12	44	119	8	8	2	246	317	381	699	136	297	22	8	312	98	-2	+1	-0	-3	+12	0.8
2034	25	MLB MLE	LAA	57%	573	514	127	22	5	13	46	124	8	8	2	246	318	385	702	138	297	22	8	314	99	-1	+1	-0	-3	+12	0.9
2035	26	MLB MLE	LAA	57%	589	529	130	22	5	14	47	127	8	8	2	247	318	386	705	140	297	22	8	315	99	-1	+1	-0	-4	+13	0.9
2036	27	MLB MLE	LAA	55%	589	528	130	22	5	14	48	128	8	7	2	246	317	384	701	138	296	22	8	313	98	-1	+1	-0	-4	+13	0.8
2037	28	MLB MLE	LAA	59%	582	522	128	22	5	13	47	128	8	7	2	244	315	379	694	135	295	22	8	310	96	-3	+1	-1	-3	+13	0.6
2038	29	MLB MLE	LAA	56%	565	508	123	21	4	13	45	126	7	6	2	241	312	373	685	131	294	22	8	307	94	-4	+0	-2	-3	+12	0.3
2039	30	MLB MLE	LAA	54%	551	495	119	20	4	12	44	124	7	5	3	238	309	365	673	127	292	23	8	302	91	-6	-0	-2	-3	+12	-0.0
2028	19	MLB CTX	LAA	34%	50	45	11	2	0	1	4	11	1	1	0	231	301	332	632	101	289	22	8	286	81	-1	+0	-0	-0	+1	-0.0
2029	20	MLB CTX	LAA	48%	123	110	26	4	1	2	10	27	2	2	1	235	306	346	652	111	291	22	8	294	86	-2	+0	-1	-1	+3	-0.1
2030	21	MLB CTX	LAA	54%	202	181	44	7	2	4	16	44	3	3	1	238	310	358	667	119	292	22	8	300	90	-2	+0	-1	-1	+4	-0.0
2031	22	MLB CTX	LAA	57%	258	231	55	9	2	5	21	56	4	4	1	241	312	367	680	127	293	22	8	305	93	-2	+0	-1	-2	+6	0.2
2032	23	MLB CTX	LAA	58%	294	264	65	11	2	7	24	64	4	4	1	243	314	375	689	132	294	22	8	309	96	-1	+0	-1	-2	+6	0.3
2033	24	MLB CTX	LAA	57%	313	281	69	11	3	7	25	68	4	4	1	244	316	380	696	135	295	22	8	311	98	-1	+0	-0	-2	+7	0.4
2034	25	MLB CTX	LAA	57%	325	292	72	12	3	8	26	70	4	4	1	245	317	383	700	138	295	22	8	313	99	-1	+0	-0	-2	+7	0.5
2035	26	MLB CTX	LAA	57%	333	298	74	12	3	8	27	72	5	4	1	245	317	385	702	140	294	22	8	314	99	-0	+0	-0	-2	+7	0.5
2036	27	MLB CTX	LAA	55%	327	294	73	12	3	8	26	71	4	4	1	244	316	382	698	138	294	22	8	312	98	-1	+0	-0	-2	+7	0.5
2037	28	MLB CTX	LAA	59%	344	308	75	12	3	8	28	76	5	4	1	242	314	377	691	135	293	22	8	309	96	-2	+0	-1	-2	+7	0.4
2038	29	MLB CTX	LAA	56%	316	284	68	11	2	7	25	70	4	3	1	240	311	371	682	131	292	22	8	306	94	-2	+0	-1	-2	+7	0.2
2039	30	MLB CTX	LAA	54%	298	268	63	10	2	6	24	67	4	3	1	237	307	363	671	126	290	22	8	301	91	-3	+0	-1	-2	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3183	2856	695	113	26	71	256	696	44	40	11	243	315	376	691	132	296	22	8	308	92	-19	+4	-7	-19	+69	2.8
/ 162G	—	A+C		—	650	583	141	23	5	14	52	142	9	8	2	242	313	370	684	129	295	22	8	308	92	-4	+1	-2	-4	+14	0.6
Career	—	MLE		—	6138	5507	1327	228	49	126	492	1319	84	116	31	241	313	369	682	128	293	21	8	305	92	-38	+6	-14	-35	+126	4.6
/ 162G	—	MLE		—	650	583	140	24	5	13	52	140	9	12	3	240	312	365	677	125	293	22	8	305	92	-4	+1	-2	-4	+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 DSLDSL Angels · 177 PAwOBA .368 → .259 (−109)K% 13.6% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.56%	÷1.000	×1.220	—	—	16.54%
BB% (unintentional) /PA	16.95%	÷1.000	×0.700	—	×1.008	11.95%
HBP% /PA	1.69%	—	×0.700	—	×1.008	1.20%
Singles /BIP	26.96%	÷1.000	×0.680	×0.999	×1.008	18.44%
Doubles /BIP	6.09%	÷1.000	×0.600	×0.999	×1.008	3.67%
Triples /BIP	1.74%	÷1.000	×0.600	×0.999	×1.008	1.05%
Home runs /BIP	0.87%	÷1.000	×0.470	—	×1.008	0.41%

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 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 ×0.999.

Result: wOBA .368 → .259; ISO .101 → .063; BABIP .342 → .227. 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 · 133 PAwOBA .330 → .230 (−100)K% 9.8% → 11.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.77%	÷1.007	×1.220	—	—	11.84%
BB% (unintentional) /PA	6.02%	÷0.973	×0.700	—	×1.022	4.42%
HBP% /PA	2.26%	—	×0.700	—	×1.022	1.61%
Singles /BIP	22.22%	÷0.990	×0.680	×1.020	×1.022	15.93%
Doubles /BIP	7.41%	÷0.920	×0.600	×1.020	×1.022	5.04%
Triples /BIP	1.85%	÷1.110	×0.600	×1.020	×1.022	1.04%
Home runs /BIP	0.93%	÷0.975	×0.470	—	×1.022	0.46%

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 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 ×1.020.

Result: wOBA .330 → .230; ISO .124 → .077; BABIP .318 → .221. 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
#1Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#2Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.9	3,275	70	43	244	311	375	-20	+0	5.5	5.0
/162	664	14	9	-4.0	+0.0	1.1	pk7: 4
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Pat Sheridan'81-'91 * career totals — 8 seasons, 2,700 PA	4.1	2,700	51	86	250*	319*	387*	-22	-3	4.0	4.2
/162	664	13	21	-5.4	-0.8	1.0	pk7: 4
#5Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#6Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	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
Junior Suriel (OGILVIE)	18	—	—	—	—	226/293/315	89	289	1	2	22%	8%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yermín Mercedes 2012 · A	19	44→53	35→50	43→45	44	205/251/272	67	245	2	6	17%	4%	48	-2.5	202/266/265	63	240	3	7	16%	6%	53	-2.1	242/292/392	150	282	20	3	21%	6%	92	+0.5
✕John Silviano 2013 · A	19	37→34	40→50	41→40	50	182/258/273	91	231	7	4	23%	9%	52	-2.2	178/241/264	86	304	7	5	41%	7%	43	-2.8	178/239/321	143	275	18	2	41%	7%	54	-1.1
✕Kevin Berard 2011 · A	19	44	37→30	50→55	35	204/250/275	71	332	4	8	38%	5%	48	-2.5	196/252/257	61	305	3	13	34%	6%	45	-2.7	207/275/256	49	302	2	18	30%	6%	53	-0.7
✕Rubell Castro 2016 · A	19	35	40	44→30	38	158/256/249	91	314	8	3	47%	9%	48	-2.5	181/265/255	74	321	5	7	41%	9%	51	-2.2	107/210/129	23	207	0	10	43%	11%	3	-1.0
✕Eurys Felipe 2012 · A	18	40	35→30	46→55	54	186/273/247	61	231	2	13	19%	10%	52	-2.2	181/257/242	61	250	2	15	26%	9%	45	-2.7	125/214/174	48	168	0	24	23%	9%	12	-1.1
✕Roberto Vahlis 2013 · A	19	40	38→30	50→45	41	191/255/268	78	273	5	7	31%	6%	50	-2.3	178/250/247	69	215	5	5	19%	8%	43	-2.8	149/242/191	42	169	3	3	13%	9%	27	-1.1
✕Welington Chal 2017 · A	19	38	35→30	40→50	50	180/272/234	54	263	3	5	30%	10%	49	-2.4	176/244/234	58	239	2	6	25%	7%	38	-3.2	100/178/130	30	126	0	2	19%	6%	-10	-1.5
✕Cristian Palacios 2014 · A	20	43	37→30	46→50	34	195/259/265	71	326	4	8	39%	5%	51	-2.3	193/242/266	73	302	3	9	35%	5%	43	-2.8	157/201/222	65	248	2	11	36%	4%	16	-1.4

Junior Suriel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps