Raynerd Ortega

SS ACL Dodgers

Age 22 R/R 6'0" / 154 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKDSL LAD Bauti…	194	.225/.351/.300	2	6	22	—	.144/.251/.186
2024	19	ROKLAD	117	.198/.362/.319	1	7	32	—	.141/.267/.232
2025	20	A/ROK2 orgs	218	.241/.315/.441	8	3	25	—	.150/.213/.260
2027PROJMLE	22	MLBLAD	328	.183/.246/.287	6	5	50	-0.2
2028PROJ34% MLB	23	MLBLAD	34	.185/.249/.295	1	1	55	-0.1
2029PROJ46% MLB	24	MLBLAD	80	.189/.254/.305	2	1	59	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2025 A

ISO91

wOBA27

Whiff%26

Chase%24

Speed23

wRC+21

CompsMaikol Escotto (age 22) · Frank Rodriguez (age 22) · Sammy Infante (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 78 proj PA

wRC+†50

AVG/OBP/SLG.181 / .244 / .285

PA78

HR1

K%33

BB%6

ISO104

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 47

Toolsscout grade

CONTACT25

scouting grade only

POWER47

scouting grade only

EYE41

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	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2022	17	ROK	DSL LAD Mega	—	158	133	31	4	0	1	23	40	2	3	2	233	354	286	640	53	326	25	15	305	21	—	—	—	—	—	—
2023	18	ROK	DSL LAD Bautista	—	194	160	36	6	0	2	24	30	7	6	4	225	351	300	651	75	260	15	12	305	22	—	—	—	—	—	—
2024	19	ROK	ACL Dodgers	—	117	91	18	6	1	1	16	26	8	7	0	198	362	319	681	121	262	22	14	320	32	—	—	—	—	—	—
2025	20	A	Rancho Cucamonga Quakes	—	95	87	17	1	1	4	6	36	2	0	0	195	263	368	631	172	277	38	6	282	10	—	—	—	—	—	—
2025	20	ROK	ACL Dodgers	—	123	108	30	10	1	4	7	36	6	3	1	278	355	500	855	222	371	29	6	371	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Mega	—	158	141	20	2	0	0	15	50	2	3	2	142	234	156	390	14	225	32	9	199	21	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	194	167	24	4	0	1	17	37	7	6	4	144	251	186	437	42	165	19	9	200	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Dodgers	—	117	99	14	4	1	1	9	38	8	7	0	141	267	232	500	91	193	32	8	216	32	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	95	89	12	1	1	2	4	50	2	0	0	135	189	236	425	101	238	53	4	183	10	—	—	—	—	—	—
2025	20	ROK MLE	ACL Dodgers	—	123	111	18	5	1	2	4	52	6	3	1	162	231	279	511	117	258	42	3	223	37	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	158	141	20	2	0	0	15	50	2	3	2	142	234	156	390	14	220	32	9	199	21	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Mega	—	158	133	31	4	0	1	23	40	2	3	2	233	354	286	640	53	326	25	15	305	21	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	194	167	24	4	0	1	17	37	7	6	4	144	251	186	437	42	174	19	9	200	22	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Bautista	—	194	160	36	6	0	2	24	30	7	6	4	225	351	300	651	75	260	15	12	305	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Dodgers	—	117	99	14	4	1	1	9	38	8	7	0	141	267	232	500	91	213	32	8	216	32	—	—	—	—	—	—
2024	19	ROK RAW	ACL Dodgers	—	117	91	18	6	1	1	16	26	8	7	0	198	362	319	681	121	262	22	14	320	32	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	218	199	30	6	1	5	9	102	8	3	1	151	218	266	484	116	266	47	4	206	25	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	218	195	47	11	2	8	13	72	8	3	1	241	315	441	756	200	333	33	6	332	25	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	158	140	20	2	0	0	15	50	2	3	2	143	234	157	391	14	225	32	9	199	21	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	194	168	24	4	0	1	17	37	7	6	4	143	251	185	436	42	165	19	9	200	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Dodgers	—	117	99	14	4	1	1	9	38	8	7	0	141	267	232	500	91	193	32	8	216	32	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	218	199	30	6	1	5	9	102	8	3	1	151	218	266	484	116	249	47	4	206	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	ACL Dodgers	—	117	99	14	4	1	1	9	38	8	7	0	141	267	232	500	91	193	32	8	216	32	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	218	199	30	6	1	5	9	102	8	3	1	151	218	266	484	116	249	47	4	206	25	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	0%	328	300	55	10	2	6	20	109	5	5	1	183	246	287	533	104	262	33	6	242	50	-20	+1	+0	+4	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	34%	100	92	17	3	1	2	6	33	2	2	0	188	252	299	551	111	264	33	6	250	55	-5	+0	+0	+1	+2	-0.2
2029	24	MLB MLE	LAD	46%	174	158	31	6	1	4	11	56	3	3	1	192	257	309	566	117	267	32	6	256	59	-8	+0	+0	+2	+4	-0.3
2028	23	MLB CTX	LAD	34%	34	31	6	1	0	1	2	11	1	1	0	185	249	295	543	110	258	32	6	246	55	-2	+0	+0	+0	+1	-0.1
2029	24	MLB CTX	LAD	46%	80	74	13	2	0	2	5	26	1	1	0	189	254	305	559	116	260	32	6	253	59	-4	+0	+0	+1	+2	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	114	105	19	3	0	3	7	37	2	2	0	181	246	295	541	114	246	32	6	251	35	-6	+0	+0	+1	+2	-0.2
/ 162G	—	A+C		—	650	599	108	17	0	17	40	211	11	11	0	180	245	294	538	114	245	32	6	251	35	-32	+2	+0	+7	+14	-0.9
Career	—	MLE		—	1039	928	148	27	4	14	72	342	31	25	8	159	243	242	486	83	231	33	7	220	35	-18	+1	+0	+4	+8	-0.6
/ 162G	—	MLE		—	650	581	93	17	3	9	45	214	19	16	5	160	243	246	490	86	232	33	7	220	35	-34	+1	+0	+7	+14	-1.2

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.

2025 ROKACL Dodgers · 123 PAwOBA .367 → .223 (−144)K% 29.3% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.27%	÷0.993	×1.440	—	—	42.46%
BB% (unintentional) /PA	5.69%	÷0.997	×0.620	—	×0.995	3.52%
HBP% /PA	4.88%	—	×0.720	—	×0.995	3.49%
Singles /BIP	20.83%	÷0.996	×0.820	×0.950	×0.995	16.22%
Doubles /BIP	13.89%	÷1.102	×0.720	×0.950	×0.995	8.58%
Triples /BIP	1.39%	÷1.060	×0.720	×0.950	×0.995	0.89%
Home runs /BIP	5.56%	÷1.187	×0.780	—	×0.995	3.63%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 99, 2B 120, 3B 112, K 99, BB 99 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .367 → .223; ISO .222 → .122; BABIP .371 → .258. 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 ARancho Cucamonga Quakes · 95 PAwOBA .275 → .183 (−92)K% 37.9% → 52.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.89%	÷0.987	×1.360	—	—	52.21%
BB% (unintentional) /PA	6.32%	÷0.981	×0.690	—	×1.030	4.58%
HBP% /PA	2.11%	—	×0.780	—	×1.030	1.69%
Singles /BIP	21.57%	÷1.004	×0.920	×0.950	×1.030	19.33%
Doubles /BIP	1.96%	÷1.054	×0.830	×0.950	×1.030	1.51%
Triples /BIP	1.96%	÷1.150	×0.910	×0.950	×1.030	1.52%
Home runs /BIP	7.84%	÷1.055	×0.800	—	×1.030	6.12%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .275 → .183; ISO .172 → .104; BABIP .277 → .238. 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 ROKACL Dodgers · 117 PAwOBA .316 → .216 (−100)K% 22.2% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.984	×1.440	—	—	32.52%
BB% (unintentional) /PA	13.68%	÷1.070	×0.620	—	×1.008	7.99%
HBP% /PA	6.84%	—	×0.720	—	×1.008	4.96%
Singles /BIP	15.38%	÷1.011	×0.820	×0.950	×1.008	11.94%
Doubles /BIP	9.23%	÷1.010	×0.720	×0.950	×1.008	6.30%
Triples /BIP	1.54%	÷0.967	×0.720	×0.950	×1.008	1.10%
Home runs /BIP	1.54%	÷0.942	×0.780	—	×1.008	1.28%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 102, 3B 93, K 97, BB 114 — 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 ×0.950.

Result: wOBA .316 → .216; ISO .121 → .087; BABIP .262 → .193. 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).

2023 DSLDSL LAD Bautista · 194 PAwOBA .302 → .200 (−102)K% 15.5% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.46%	÷0.999	×1.220	—	—	18.89%
BB% (unintentional) /PA	12.37%	÷0.980	×0.700	—	×1.008	8.90%
HBP% /PA	3.61%	—	×0.700	—	×1.008	2.54%
Singles /BIP	21.54%	÷1.003	×0.680	×0.956	×1.008	14.07%
Doubles /BIP	4.62%	÷0.990	×0.600	×0.956	×1.008	2.69%
Triples /BIP	0.00%	÷0.969	×0.600	×0.956	×1.008	0.00%
Home runs /BIP	1.54%	÷1.319	×0.470	—	×1.008	0.55%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 101, 2B 98, 3B 94, K 100, BB 96 — 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 ×0.956.

Result: wOBA .302 → .200; ISO .075 → .037; BABIP .260 → .165. 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).

2022 DSLDSL LAD Mega · 158 PAwOBA .299 → .199 (−100)K% 25.3% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.32%	÷0.973	×1.220	—	—	31.75%
BB% (unintentional) /PA	14.56%	÷1.059	×0.700	—	×1.022	9.84%
HBP% /PA	1.27%	—	×0.700	—	×1.022	0.91%
Singles /BIP	27.96%	÷0.977	×0.680	×0.997	×1.022	19.85%
Doubles /BIP	4.30%	÷1.045	×0.600	×0.997	×1.022	2.52%
Triples /BIP	0.00%	÷1.150	×0.600	×0.997	×1.022	0.00%
Home runs /BIP	1.08%	÷0.975	×0.470	—	×1.022	0.53%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 95, 2B 109, 3B 130, K 95, BB 112 — 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 ×0.997.

Result: wOBA .299 → .199; ISO .053 → .028; BABIP .326 → .225. 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).

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
Raynerd Ortega (OGILVIE)	22	20→25	42→47	45→50	41	181/244/285	103	262	1	1	33%	6%	50	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Maikol Escotto 2024 · A	22	35	41→45	47→50	35	179/230/275	96	276	10	12	38%	5%	42	-2.9	190/232/297	107	275	12	16	34%	4%	47	-2.5	179/219/283	104	251	14	22	34%	4%	37	-1.4
✕Frank Rodriguez 2024 · A	22	35	42→45	47→30	38	180/236/279	99	250	10	4	32%	5%	45	-2.7	188/246/274	86	257	8	4	29%	6%	47	-2.5	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Sammy Infante 2023 · A	22	33→26	45	48→55	36	171/240/293	122	282	14	10	42%	7%	51	-2.3	190/256/283	93	303	8	16	37%	7%	54	-2.0	180/250/254	74	287	5	20	36%	6%	43	-1.3
✕Yassel Pino 2024 · A	22	37	42→45	48→40	45	186/253/292	105	245	10	5	28%	8%	54	-2.0	208/263/318	110	276	11	8	28%	6%	64	-1.3	205/253/313	109	262	15	10	27%	5%	56	-0.5
✕Bryson Ware 2024 · A	23	39→32	44→45	50	40	196/260/308	112	283	12	11	34%	7%	61	-1.5	189/249/307	118	281	13	11	36%	6%	56	-1.9	182/242/307	125	267	15	11	36%	6%	51	-1.4
✕Fabian Pertuz 2023 · A	22	39→36	40	49→55	34	191/235/284	93	286	8	9	35%	4%	45	-2.7	178/229/269	91	272	8	12	36%	5%	40	-3.1	151/206/232	81	230	8	13	37%	5%	21	-2.3
✕Osiris Johnson 2023 · A	22	37	41→40	51→50	39	188/238/276	88	257	10	9	30%	6%	45	-2.7	195/242/287	92	270	10	14	30%	5%	49	-2.4	180/226/267	87	248	10	18	31%	5%	35	-1.3
✕Will Banfield 2022 · A	22	32→37	41→50	48→30	34	165/219/258	92	266	9	4	40%	6%	33	-3.6	196/234/319	123	268	14	3	32%	4%	53	-2.1	196/236/312	116	270	13	1	32%	4%	50	-1.4
✕Misael Urbina 2024 · A	22	35→32	39→40	47→50	44	172/248/261	89	251	6	9	32%	8%	46	-2.6	189/269/280	91	269	6	9	29%	9%	58	-1.7	182/269/271	88	253	6	9	28%	10%	53	-1.1
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	190/265/292	102	283	8	14	34%	8%	59	-1.6	204/267/311	107	290	7	12	30%	6%	63	-1.3	179/266/281	102	259	10	19	32%	8%	57	-1.0
✕Brandon Lewis 2021 · A	22	42→34	39→50	49→30	40	203/264/289	86	290	7	6	31%	6%	57	-1.8	196/250/365	169	289	23	3	39%	6%	71	-0.8	176/230/331	155	250	22	1	39%	5%	53	-1.4
✕Taylor Snyder 2018 · A	23	36→33	43→50	47→50	32	184/226/296	112	275	11	13	37%	4%	45	-2.7	192/238/311	119	300	12	12	38%	5%	53	-2.1	186/235/335	149	266	18	12	36%	5%	56	-1.3
✕Arturo De Freitas 2023 · A	22	35	39→40	45→40	34	175/221/253	78	272	7	4	37%	5%	32	-3.6	185/240/265	80	303	8	5	39%	6%	43	-2.8	138/183/216	78	244	10	0	46%	5%	8	-1.0
✕Walking Cabrera 2023 · A	22	39→37	41→45	48→45	40	192/249/294	102	277	8	8	32%	7%	53	-2.1	208/259/320	112	312	12	9	35%	6%	63	-1.4	200/248/316	117	298	15	10	37%	5%	57	-0.9
✕Elio Prado 2024 · A	22	40→37	42→40	46→50	45	199/275/302	103	259	10	9	26%	7%	65	-1.2	190/255/279	89	267	8	14	30%	7%	52	-2.2	168/233/235	68	243	6	17	32%	7%	32	-1.7
✕Stanley Consuegra 2023 · A	22	37→34	44→50	45	36	190/240/311	121	279	11	9	35%	5%	53	-2.1	185/237/317	132	272	15	8	37%	5%	54	-2.0	168/221/301	133	241	17	7	37%	5%	42	-2.1
✕Michael Mosby 2012 · A	22	35	42→45	49→40	41	180/247/278	98	241	10	5	29%	6%	49	-2.4	195/256/290	95	299	8	5	35%	6%	55	-2.0	185/245/276	91	295	7	3	37%	6%	45	-1.0
✕J.V. Martinez 2021 · A	22	40→36	42→45	44→30	41	198/259/300	102	278	9	3	31%	6%	58	-1.7	203/258/315	112	285	10	4	31%	6%	61	-1.5	191/246/304	114	264	10	1	31%	5%	52	-0.9
✕Edwin Díaz 2018 · A	22	35→33	40→50	46→40	37	175/233/264	89	270	9	3	37%	6%	40	-3.0	181/243/302	121	279	12	4	37%	7%	53	-2.1	156/227/293	137	222	18	5	38%	7%	44	-1.2
✕William Lugo 2024 · A	22	38→40	45	45	41	197/257/317	119	268	13	5	31%	6%	61	-1.5	185/255/281	96	269	9	6	32%	8%	53	-2.1	163/242/246	83	244	8	5	34%	8%	38	-2.0