Raimundo De Los Santos

SS Dunedin Blue Jays

Age 22 S/R 5'10" / 147 lbs A Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2337ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKBOS	182	.232/.363/.278	0	28	32	—	.167/.258/.198
2025	20	ROKTOR	170	.271/.382/.319	0	11	45	—	.201/.276/.240
2026	21	A+/ATOR	260	.252/.362/.347	4	23	59	—	.207/.292/.280
2027PROJMLE	22	MLBTOR	370	.194/.275/.266	3	10	56	-0.2
2028PROJ34% MLB	23	MLBTOR	65	.201/.282/.288	1	2	63	-0.1
2029PROJ46% MLB	24	MLBTOR	126	.206/.286/.303	2	3	68	-0.1

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Speed89

BB%66

Max EV38

Chase%38

K%26

Whiff%20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsFrainyer Chavez (age 22) · Jeremy Arocho (age 22) · Terry Serrano (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 153 proj PA

wRC+†56

AVG/OBP/SLG.192 / .273 / .264

PA153

HR1

K%30

BB%9

ISO72

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED55

scouting grade only

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
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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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)
2023	18	ROK	DSL Red Sox Blue	—	162	136	30	2	0	0	23	37	2	12	1	221	342	235	577	15	300	23	14	280	15	—	—	—	—	—	—
2024	19	ROK	FCL Red Sox	—	182	151	35	7	0	0	30	49	1	28	8	232	363	278	641	46	343	27	16	308	32	—	—	—	—	—	—
2025	20	ROK	FCL Blue Jays	—	170	144	39	5	1	0	26	33	0	11	5	271	382	319	702	49	351	19	15	330	45	—	—	—	—	—	—
2026	21	A+	Vancouver Canadians	—	22	21	6	0	0	0	1	4	0	0	1	286	318	286	604		353	18	5	279	43	—	—	—	—	—	—
2026	21	A	Dunedin Blue Jays	—	238	201	50	5	2	4	34	72	3	23	7	249	366	353	719	104	368	30	14	333	60	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Red Sox Blue	—	162	144	21	1	0	0	15	46	2	12	1	146	236	153	389	7	213	28	9	191	15	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	162	27	5	0	0	19	69	1	28	8	167	258	198	456	31	289	38	10	216	32	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	154	31	4	1	0	16	47	0	11	5	201	276	240	517	39	287	28	9	234	45	—	—	—	—	—	—
2026	21	A+ MLE	Vancouver Canadians	—	22	21	5	0	0	0	1	5	0	0	1	238	273	238	511		330	23	5	232	43	—	—	—	—	—	—
2026	21	A MLE	Dunedin Blue Jays	—	238	211	43	4	2	3	24	98	3	23	7	204	294	284	578	81	355	41	10	257	60	—	—	—	—	—	—
2023	18	ROK MLE	DSL Red Sox Blue	—	162	144	21	1	0	0	15	46	2	12	1	146	236	153	389	7	212	28	9	191	15	—	—	—	—	—	—
2023	18	ROK RAW	DSL Red Sox Blue	—	162	136	30	2	0	0	23	37	2	12	1	221	342	235	577	15	300	23	14	280	15	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	162	27	5	0	0	19	69	1	28	8	167	258	198	456	31	290	38	10	216	32	—	—	—	—	—	—
2024	19	ROK RAW	FCL Red Sox	—	182	151	35	7	0	0	30	49	1	28	8	232	363	278	641	46	343	27	16	308	32	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	154	31	4	1	0	16	47	0	11	5	201	276	240	517	39	290	28	9	234	45	—	—	—	—	—	—
2025	20	ROK RAW	FCL Blue Jays	—	170	144	39	5	1	0	26	33	0	11	5	271	382	319	702	49	351	19	15	330	45	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	260	232	48	4	2	3	25	103	3	23	8	207	292	280	572	73	357	40	10	255	59	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	260	222	56	5	2	4	35	76	3	23	8	252	362	347	708	95	366	29	13	328	59	—	—	—	—	—	—
2023	18	ROK MLE	DSL Red Sox Blue	—	162	144	21	1	0	0	15	46	2	12	1	146	236	153	389	7	213	28	9	191	15	—	—	—	—	—	—
2024	19	ROK MLE	FCL Red Sox	—	182	160	27	5	0	0	19	69	1	28	8	169	258	200	458	31	289	38	10	216	32	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	152	31	4	1	0	16	47	0	11	5	204	276	243	520	39	287	28	9	234	45	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	260	230	48	4	2	3	25	103	3	23	8	209	292	283	575	74	353	40	10	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Red Sox	—	182	160	27	5	0	0	19	69	1	28	8	169	258	200	458	31	289	38	10	216	32	—	—	—	—	—	—
2025	20	ROK MLE	FCL Blue Jays	—	170	152	31	4	1	0	16	47	0	11	5	204	276	243	520	39	287	28	9	234	45	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	260	230	48	4	2	3	25	103	3	23	8	209	292	283	575	74	353	40	10	255	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TOR	0%	370	330	65	12	2	3	34	112	3	10	3	194	275	266	541	72	281	30	9	251	56	-19	+1	+0	+4	+8	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TOR	34%	190	169	34	6	1	2	17	56	2	5	2	200	281	286	568	86	283	29	9	261	63	-8	+0	+0	+2	+4	-0.2
2029	24	MLB MLE	TOR	46%	273	244	50	9	1	4	25	80	2	7	2	205	286	301	587	96	284	29	9	269	68	-10	+1	+0	+3	+6	-0.1
2030	25	MLB MLE	TOR	52%	330	294	61	11	2	5	30	95	3	8	3	208	289	312	600	103	285	29	9	274	72	-11	+0	+0	+4	+7	-0.0
2031	26	MLB MLE	TOR	54%	365	326	68	12	2	6	33	104	3	9	3	211	291	319	609	108	285	28	9	277	74	-11	+1	+0	+4	+8	0.1
2032	27	MLB MLE	TOR	54%	379	338	72	13	2	7	35	107	3	9	3	211	291	321	612	109	285	28	9	278	75	-11	+1	+0	+4	+8	0.1
2033	28	MLB MLE	TOR	54%	381	340	72	13	2	7	35	109	3	8	3	210	289	316	606	107	284	29	9	276	73	-12	+0	-1	+4	+8	-0.0
2034	29	MLB MLE	TOR	58%	375	335	70	13	2	6	34	108	3	6	2	207	287	310	597	103	283	29	9	272	70	-13	+0	-1	+4	+8	-0.2
2035	30	MLB MLE	TOR	60%	365	326	67	12	2	6	33	106	3	4	2	205	283	303	586	98	281	29	9	268	67	-14	+0	-2	+4	+8	-0.4
2028	23	MLB CTX	TOR	34%	65	58	11	2	0	1	6	19	1	2	1	201	282	288	569	86	284	29	9	262	63	-3	+0	+0	+1	+1	-0.1
2029	24	MLB CTX	TOR	46%	126	112	24	4	1	2	12	37	1	3	1	206	286	303	589	97	285	29	10	270	68	-5	+0	+0	+1	+3	-0.1
2030	25	MLB CTX	TOR	52%	170	150	32	6	1	3	16	49	2	4	1	209	289	313	602	104	286	29	9	275	72	-6	+0	+0	+2	+4	0.0
2031	26	MLB CTX	TOR	54%	198	176	37	7	1	3	18	56	2	5	2	211	291	320	611	108	286	28	9	278	74	-6	+0	+0	+2	+4	0.0
2032	27	MLB CTX	TOR	54%	206	183	39	7	1	4	19	58	2	5	2	212	292	322	614	110	286	28	9	279	75	-6	+0	+0	+2	+4	0.1
2033	28	MLB CTX	TOR	54%	207	184	39	7	1	4	19	59	2	4	1	210	290	317	607	107	285	29	9	277	73	-7	+0	-0	+2	+4	0.0
2034	29	MLB CTX	TOR	58%	216	192	40	7	1	4	20	62	2	4	1	208	287	311	599	103	284	29	9	273	70	-8	+0	-1	+2	+5	-0.1
2035	30	MLB CTX	TOR	60%	219	195	40	7	1	3	20	64	2	3	1	205	284	304	588	99	283	29	9	269	67	-8	+0	-1	+2	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1407	1250	262	47	7	24	130	404	14	30	10	210	291	316	607	106	287	29	9	274	64	-49	+2	-2	+15	+30	-0.4
/ 162G	—	A+C		—	650	577	121	22	3	11	60	187	6	14	5	210	290	315	606	106	288	29	9	274	64	-22	+1	-1	+7	+14	-0.2
Career	—	MLE		—	3585	3201	648	108	18	47	331	1076	29	134	43	202	283	291	575	89	287	30	9	262	64	-100	+4	-4	+30	+61	-1.0
/ 162G	—	MLE		—	650	580	118	20	3	9	60	195	5	24	8	203	283	295	578	91	288	30	9	262	64	-23	+1	-1	+7	+14	-0.2

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.

2026 ADunedin Blue Jays · 238 PAwOBA .325 → .257 (−68)K% 30.3% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.25%	÷1.000	×1.360	—	—	41.14%
BB% (unintentional) /PA	14.29%	÷1.000	×0.690	—	×1.015	10.00%
HBP% /PA	1.26%	—	×0.780	—	×1.015	1.00%
Singles /BIP	30.23%	÷1.000	×0.920	×1.050	×1.015	29.64%
Doubles /BIP	3.88%	÷1.000	×0.830	×1.050	×1.015	3.43%
Triples /BIP	1.55%	÷1.000	×0.910	×1.050	×1.015	1.50%
Home runs /BIP	3.10%	÷1.000	×0.800	—	×1.015	2.52%

Factors used: level-wide A 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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .325 → .257; ISO .104 → .079; BABIP .368 → .355. 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).

2026 A+Vancouver Canadians · 22 PAwOBA .271 → .232 (−39)K% 18.2% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.350	—	—	24.55%
BB% (unintentional) /PA	4.55%	÷1.000	×0.710	—	×1.027	3.31%
HBP% /PA	0.00%	—	×0.810	—	×1.027	0.00%
Singles /BIP	35.29%	÷1.000	×0.910	—	×1.027	32.98%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.027	0.00%
Triples /BIP	0.00%	÷1.000	×0.820	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.000	×0.830	—	×1.027	0.00%

Factors used: level-wide A+ 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 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .271 → .232; ISO .000 → .000; BABIP .353 → .330. 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 ROKFCL Blue Jays · 170 PAwOBA .322 → .234 (−88)K% 19.4% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.41%	÷1.002	×1.440	—	—	27.91%
BB% (unintentional) /PA	15.29%	÷1.001	×0.620	—	×0.995	9.42%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	29.73%	÷1.038	×0.820	×1.050	×0.995	24.53%
Doubles /BIP	4.50%	÷0.956	×0.720	×1.050	×0.995	3.54%
Triples /BIP	0.90%	÷1.150	×0.720	×1.050	×0.995	0.59%
Home runs /BIP	0.00%	÷1.077	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 108, 2B 91, 3B 130, K 100, BB 100 — 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 ×1.050.

Result: wOBA .322 → .234; ISO .049 → .035; BABIP .351 → .287. 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 ROKFCL Red Sox · 182 PAwOBA .301 → .216 (−85)K% 26.9% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷1.026	×1.440	—	—	37.80%
BB% (unintentional) /PA	16.48%	÷0.968	×0.620	—	×1.008	10.63%
HBP% /PA	0.55%	—	×0.720	—	×1.008	0.40%
Singles /BIP	27.45%	÷0.993	×0.820	×1.050	×1.008	23.97%
Doubles /BIP	6.86%	÷1.061	×0.720	×1.050	×1.008	4.93%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷0.952	×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): HR 90, 1B 99, 2B 112, 3B 100, K 105, BB 94 — 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 ×1.050.

Result: wOBA .301 → .216; ISO .046 → .030; BABIP .343 → .289. 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 Red Sox Blue · 162 PAwOBA .276 → .191 (−85)K% 22.8% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.84%	÷0.984	×1.220	—	—	28.31%
BB% (unintentional) /PA	14.20%	÷1.059	×0.700	—	×1.008	9.46%
HBP% /PA	1.23%	—	×0.700	—	×1.008	0.87%
Singles /BIP	28.28%	÷1.006	×0.680	×1.050	×1.008	20.23%
Doubles /BIP	2.02%	÷1.028	×0.600	×1.050	×1.008	1.25%
Triples /BIP	0.00%	÷0.964	×0.600	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷0.924	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 101, 2B 106, 3B 93, K 97, BB 112 — 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 ×1.050.

Result: wOBA .276 → .191; ISO .015 → .009; BABIP .300 → .213. 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
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#3Ryan 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
#4Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,560	24	34	207	284	308	+17	+15	0.5	0.7
/162	664	10	14	+7.1	+6.4	0.2	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Raimundo De Los Santos (OGILVIE)	22	40	20	55	55	192/273/264	71	281	1	4	30%	9%	56	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Terry Serrano 2009 · A	22	39	35→30	50→55	46	183/246/241	59	240	2	15	24%	7%	40	-3.1	207/288/279	72	316	3	15	32%	10%	64	-1.3	204/311/268	64	327	2	21	33%	13%	68	-0.5
✕Louis Ott 2007 · A	22	44→48	36→30	52→45	40	203/263/271	68	301	3	10	32%	6%	53	-2.1	225/294/293	68	316	4	6	28%	8%	70	-0.9	229/306/286	56	325	4	5	28%	9%	70	-0.4
✕Willmer De La Cruz 2024 · A	21	42	36→30	50→55	46	191/277/255	64	298	3	15	34%	10%	55	-1.9	197/272/263	66	330	3	13	37%	9%	55	-2.0	162/255/195	33	292	0	21	40%	10%	30	-0.8
✕Arquímedes Gamboa 2021 · AA	23	39→44	37→40	51→50	46	186/263/256	70	278	4	15	32%	9%	50	-2.3	206/285/302	96	295	8	14	30%	10%	69	-0.9	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Geraldo Quintero 2024 · A	22	45→47	38→40	54→60	46	214/277/299	85	280	5	21	24%	7%	64	-1.3	210/281/306	96	275	8	28	25%	8%	68	-1.0	199/277/299	100	256	9	37	25%	8%	63	-0.8
✕Candido Pimentel 2012 · A	22	44	34→30	49→55	47	202/269/250	47	282	1	15	27%	8%	50	-2.3	231/280/287	56	323	2	14	27%	6%	61	-1.5	249/294/298	49	343	1	18	26%	6%	65	-0.5
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Reidy Mercado 2023 · A	22	41	35→30	54→60	37	191/244/243	52	302	2	17	36%	6%	38	-3.2	190/240/248	58	304	3	23	36%	6%	38	-3.2	168/215/212	44	272	1	36	37%	5%	18	-1.2
✕Alfredo Angarita 2019 · A	22	44	35→30	47→55	45	207/270/266	59	285	2	12	27%	8%	54	-2.0	199/264/264	65	289	3	9	30%	7%	51	-2.2	130/215/146	16	199	0	7	31%	9%	7	-1.4
✕Riley Unroe 2018 · AA	22	41→47	37→45	47→55	45	195/265/266	71	282	5	12	31%	8%	53	-2.1	212/278/300	88	296	7	12	29%	8%	65	-1.2	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Joseph Rosa 2019 · A	22	40→45	37→40	45→50	41	194/251/261	67	280	6	14	32%	7%	46	-2.6	206/271/296	90	295	7	11	30%	7%	62	-1.4	206/281/301	95	299	7	14	31%	8%	65	-0.8
✕Christian Cairo 2023 · A	22	40→49	39→40	53→60	50	187/295/270	83	292	6	16	34%	11%	67	-1.1	210/302/291	81	303	5	23	29%	10%	73	-0.6	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Juan Mosquera 2009 · A	21	41	33→30	46→55	54	187/287/229	41	257	1	14	25%	11%	54	-2.0	199/263/256	57	258	2	9	22%	7%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Kelvin Alarcon 2021 · A	22	49	38→30	53→55	42	226/284/306	80	330	5	11	31%	7%	68	-1.0	204/264/264	60	321	3	7	34%	7%	51	-2.3	187/250/219	32	299	0	6	34%	8%	34	-0.8
✕Roberto Caro 2016 · A	22	41→40	37→40	60	50	192/272/272	80	251	2	20	23%	9%	57	-1.8	203/271/276	73	310	2	18	32%	8%	57	-1.8	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Michael De La Cruz 2015 · A	22	44→43	37→40	53→50	50	206/287/290	84	283	3	13	26%	10%	66	-1.1	202/259/277	75	271	3	8	25%	7%	52	-2.2	213/295/355	142	265	15	2	25%	10%	82	+0.0
✕B.J. Guinn 2011 · A	22	49→44	35→40	54→55	45	224/285/289	66	316	2	16	28%	8%	64	-1.3	209/257/269	60	301	2	17	29%	6%	49	-2.4	203/252/266	62	290	3	17	29%	5%	44	-1.5

Raimundo De Los Santos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps