Ricardo Crespo

OF DSL Giants Orange

Age 20 L/L 5'10" / 168 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1261ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Bl…	78	.268/.453/.304	0	0	64	—	.180/.333/.197
2025	18	ROKDSL Giants Bl…	102	.250/.424/.276	0	4	47	—	.171/.313/.183
2026	19	ROKDSL Giants Or…	140	.292/.533/.404	1	8	94	—	.206/.400/.294
2027PROJMLE	20	MLBSF	250	.229/.324/.307	2	4	84	0.0
2028PROJ34% MLB	21	MLBSF	43	.229/.324/.314	0	1	88	0.0
2029PROJ48% MLB	22	MLBSF	105	.231/.326/.324	1	2	91	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%99

Chase%97

wOBA95

wRC+94

K%92

Whiff%92

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

CompsBrett Bateman (age 22) · Brent Keys (age 21) · Noah Mendlinger (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 73 proj PA

wRC+†84

AVG/OBP/SLG.227 / .322 / .304

PA73

HR1

K%23

BB%11

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 70 / POW 35

Toolsscout grade

CONTACT70

scouting grade only

POWER35

scouting grade only

EYE80

scouting grade only

SPEED56

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

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 Giants Black	—	78	56	15	2	0	0	17	12	2	0	4	268	453	304	757	36	326	15	22	355	64	—	—	—	—	—	—
2025	18	ROK	DSL Giants Black	—	102	76	19	2	0	0	17	13	6	4	2	250	424	276	701	26	302	13	17	336	47	—	—	—	—	—	—
2026	19	ROK	DSL Giants Orange	—	140	89	26	5	1	1	43	16	3	8	0	292	533	404	938	112	333	11	31	425	94	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Black	—	78	61	11	1	0	0	12	15	2	0	4	180	333	197	530	16	221	19	15	263	64	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	102	82	14	1	0	0	11	16	6	4	2	171	313	183	496	12	209	16	11	237	47	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	140	102	21	4	1	1	30	19	3	8	0	206	400	294	694	88	215	14	21	307	94	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	78	61	11	1	0	0	12	15	2	0	4	180	333	197	530	16	229	19	15	263	64	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Black	—	78	56	15	2	0	0	17	12	2	0	4	268	453	304	757	36	326	15	22	355	64	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	102	82	14	1	0	0	11	16	6	4	2	171	313	183	496	12	212	16	11	237	47	—	—	—	—	—	—
2025	18	ROK RAW	DSL Giants Black	—	102	76	19	2	0	0	17	13	6	4	2	250	424	276	701	26	302	13	17	336	47	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	140	102	21	4	1	1	30	19	3	8	0	206	400	294	694	88	235	14	21	307	94	—	—	—	—	—	—
2026	19	ROK RAW	DSL Giants Orange	—	140	89	26	5	1	1	43	16	3	8	0	292	533	404	938	112	333	11	31	425	94	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	78	64	11	1	0	0	12	15	2	0	4	172	333	188	521	16	221	19	15	263	64	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	102	84	14	1	0	0	11	16	6	4	2	167	313	179	492	12	209	16	11	237	47	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	140	106	21	4	1	1	30	19	3	8	0	198	400	283	683	85	215	14	21	307	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Black	—	78	64	11	1	0	0	12	15	2	0	4	172	333	188	521	16	221	19	15	263	64	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	102	84	14	1	0	0	11	16	6	4	2	167	313	179	492	12	209	16	11	237	47	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	140	106	21	4	1	1	30	19	3	8	0	198	400	283	683	85	215	14	21	307	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	0%	250	217	50	8	2	2	27	58	4	4	1	229	324	307	632	78	300	23	11	292	84	-5	+0	+0	-2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	125	109	25	4	1	1	13	29	2	3	1	232	327	320	648	88	301	23	10	298	88	-2	+0	+0	-1	+3	0.0
2029	22	MLB MLE	SF	48%	216	188	44	7	1	3	23	49	3	5	1	235	329	331	660	96	302	23	11	303	91	-2	+1	+0	-1	+5	0.2
2030	23	MLB MLE	SF	54%	311	270	65	10	2	5	33	71	5	7	2	237	330	340	670	103	302	23	11	306	93	-2	+1	+0	-2	+7	0.3
2031	24	MLB MLE	SF	55%	382	334	79	13	2	6	40	87	5	8	2	239	331	347	678	108	302	23	10	309	95	-2	+1	+0	-2	+8	0.5
2032	25	MLB MLE	SF	56%	423	370	88	14	3	7	44	96	6	9	3	240	331	352	683	112	302	23	10	310	96	-2	+1	+0	-3	+9	0.5
2033	26	MLB MLE	SF	56%	446	390	94	15	3	8	47	101	6	10	3	240	331	353	684	113	302	23	11	311	96	-2	+1	+0	-3	+10	0.6
2034	27	MLB MLE	SF	55%	454	397	95	15	3	8	48	104	6	10	3	239	330	350	680	111	301	23	11	309	95	-2	+1	+0	-3	+10	0.6
2035	28	MLB MLE	SF	55%	454	398	94	15	3	7	47	105	6	9	3	237	328	346	673	108	300	23	10	307	94	-3	+1	-1	-3	+10	0.4
2036	29	MLB MLE	SF	53%	446	391	92	15	3	7	46	104	6	8	3	235	325	339	664	104	299	23	10	303	91	-5	+0	-1	-3	+10	0.1
2037	30	MLB MLE	SF	53%	436	382	88	14	2	6	45	103	6	8	3	232	322	331	653	99	298	24	10	299	88	-6	+0	-2	-3	+9	-0.1
2028	21	MLB CTX	SF	34%	43	37	7	1	0	0	5	10	1	1	0	229	324	314	638	85	297	23	12	294	88	-1	+0	+0	-0	+1	0.0
2029	22	MLB CTX	SF	48%	105	91	21	3	1	1	11	24	2	2	1	231	326	324	650	93	298	23	10	299	91	-1	+0	+0	-1	+2	0.1
2030	23	MLB CTX	SF	54%	169	147	34	6	1	2	18	39	2	4	1	234	327	333	659	99	298	23	11	302	93	-1	+0	+0	-1	+4	0.2
2031	24	MLB CTX	SF	55%	212	185	43	7	1	3	22	48	3	5	1	235	327	339	667	104	298	23	10	304	95	-1	+1	+0	-1	+5	0.3
2032	25	MLB CTX	SF	56%	237	207	49	8	1	4	25	54	3	5	1	236	327	344	671	108	298	23	11	306	96	-1	+1	+0	-1	+5	0.3
2033	26	MLB CTX	SF	56%	251	219	53	9	2	4	26	57	4	5	2	236	327	345	672	109	298	23	10	306	96	-1	+0	+0	-2	+5	0.3
2034	27	MLB CTX	SF	55%	251	220	52	8	2	4	26	57	3	5	2	235	326	342	668	107	297	23	10	305	95	-1	+0	+0	-2	+5	0.3
2035	28	MLB CTX	SF	55%	249	218	50	8	1	4	26	57	3	5	2	233	324	337	662	104	296	23	10	302	94	-2	+0	-0	-1	+5	0.2
2036	29	MLB CTX	SF	53%	238	208	47	8	1	3	25	55	3	4	2	231	322	331	653	100	295	23	11	299	91	-2	+0	-1	-1	+5	0.1
2037	30	MLB CTX	SF	53%	229	200	45	7	1	3	24	54	3	4	2	228	318	324	642	96	294	24	10	294	88	-3	+0	-1	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1984	1732	401	65	11	28	208	455	27	40	14	232	323	330	654	99	297	23	10	302	91	-15	+2	-2	-12	+43	1.6
/ 162G	—	A+C		—	650	567	131	21	4	9	68	149	9	13	5	231	323	330	653	99	296	23	10	302	91	-5	+1	-1	-4	+14	0.5
Career	—	MLE		—	4086	3538	824	130	24	60	447	916	63	90	30	233	330	334	664	101	296	22	11	303	91	-31	+6	-4	-23	+82	3.1
/ 162G	—	MLE		—	650	563	132	21	4	10	71	146	10	14	5	234	331	339	670	105	297	22	11	303	91	-5	+1	-1	-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 Giants Orange · 140 PAwOBA .426 → .307 (−119)K% 11.4% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.43%	÷1.000	×1.220	—	—	13.94%
BB% (unintentional) /PA	30.71%	÷1.000	×0.700	—	×0.985	21.18%
HBP% /PA	2.14%	—	×0.700	—	×0.985	1.48%
Singles /BIP	26.03%	÷1.000	×0.680	×0.990	×0.985	17.26%
Doubles /BIP	6.85%	÷1.000	×0.600	×0.990	×0.985	4.01%
Triples /BIP	1.37%	÷1.000	×0.600	×0.990	×0.985	0.80%
Home runs /BIP	1.37%	÷1.000	×0.470	—	×0.985	0.63%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .426 → .307; ISO .112 → .075; BABIP .333 → .215. 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 Giants Black · 102 PAwOBA .329 → .237 (−92)K% 12.7% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.75%	÷1.007	×1.220	—	—	15.45%
BB% (unintentional) /PA	16.67%	÷1.075	×0.700	—	×0.995	10.79%
HBP% /PA	5.88%	—	×0.700	—	×0.995	4.10%
Singles /BIP	26.98%	÷1.014	×0.680	×1.050	×0.995	18.90%
Doubles /BIP	3.17%	÷1.014	×0.600	×1.050	×0.995	1.96%
Triples /BIP	0.00%	÷0.974	×0.600	×1.050	×0.995	0.00%
Home runs /BIP	0.00%	÷1.022	×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): HR 104, 1B 103, 2B 103, 3B 95, K 101, BB 115 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .329 → .237; ISO .026 → .018; BABIP .302 → .209. 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 Giants Black · 78 PAwOBA .357 → .263 (−94)K% 15.4% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.977	×1.220	—	—	19.21%
BB% (unintentional) /PA	21.79%	÷0.971	×0.700	—	×1.008	15.83%
HBP% /PA	2.56%	—	×0.700	—	×1.008	1.81%
Singles /BIP	29.55%	÷0.982	×0.680	×0.990	×1.008	20.41%
Doubles /BIP	4.55%	÷1.057	×0.600	×0.990	×1.008	2.57%
Triples /BIP	0.00%	÷1.127	×0.600	×0.990	×1.008	0.00%
Home runs /BIP	0.00%	÷1.092	×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 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — 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 ×0.990.

Result: wOBA .357 → .263; ISO .036 → .023; BABIP .326 → .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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#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
#5Darren Bragg'94-'04 * career totals — 10 seasons, 2,835 PA	4.3	2,835	46	56	243*	324*	368*	-18	+2	2.5	3.8
/162	664	11	13	-4.1	+0.4	0.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,056	32	42	238	326	344	-12	+0	3.2	3.0
/162	664	10	14	-4.0	+0.0	1.0	pk7: 3
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	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
Ricardo Crespo (OGILVIE)	20	65→70	30→35	51→56	80	227/322/304	77	300	1	1	23%	11%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Brett Bateman 2024 · A	22	51→61	37→30	54→55	55	238/324/309	70	307	4	18	22%	11%	84	+0.2	252/333/313	61	337	3	21	23%	11%	88	+0.5	267/352/328	61	355	3	23	23%	11%	96	+0.8
✕Brent Keys 2011 · A	21	48→58	35→30	49→50	51	225/292/282	57	274	2	12	18%	8%	66	-1.1	256/314/322	66	306	3	13	16%	7%	83	+0.1	282/343/338	56	313	2	12	10%	8%	94	+0.6
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
●L.J. Hoes 2009 · A	19	50→60	37→40	56→50	53	235/305/308	72	289	4	11	19%	9%	76	-0.4	247/295/316	69	318	4	12	22%	6%	74	-0.6	288/348/379	91	345	5	15	17%	8%	105	+1.7
✕Alexi Amarista 2009 · A	20	51→61	38→45	50→55	51	239/294/319	80	267	5	17	13%	7%	74	-0.5	264/309/366	102	308	4	18	15%	5%	91	+0.6	270/311/375	105	314	4	19	15%	5%	91	+0.6
✕Cedric Hunter 2007 · A	19	55→59	37→55	53→50	55	258/327/338	80	300	3	14	14%	9%	92	+0.7	256/298/341	85	294	6	8	14%	5%	81	-0.1	246/303/399	153	268	15	9	14%	6%	96	+0.7
●Steven Kwan 2019 · A	21	49→59	37→45	52→50	52	229/301/310	81	277	4	8	18%	8%	76	-0.4	243/299/339	96	275	6	8	14%	7%	81	-0.1	282/357/395	112	306	8	16	10%	10%	116	+2.6
✕Ramón Flores 2012 · A	20	47→57	40→45	50	46	225/283/320	95	286	7	8	24%	7%	72	-0.7	244/302/348	104	307	7	10	21%	7%	84	+0.2	255/328/354	99	304	9	8	18%	9%	94	+0.6
✕Luis Guillorme 2016 · A	21	56→64	33→40	45	48	262/310/302	40	317	1	10	17%	6%	76	-0.4	263/320/317	54	317	2	6	16%	8%	84	+0.1	277/347/351	74	322	5	4	14%	9%	99	+0.9
✕Alejo Lopez 2016 · A	20	51→61	38→40	46→55	51	239/308/319	80	277	4	9	15%	7%	80	-0.1	229/282/302	73	267	4	10	15%	6%	66	-1.1	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Hendry Mendez 2023 · A	19	48→57	38→45	42→45	53	224/303/299	75	281	5	6	21%	10%	75	-0.5	238/304/328	90	293	7	5	20%	8%	81	-0.1	262/336/372	110	313	10	6	18%	9%	101	+1.0
✕Yoyner Fajardo 2019 · A	20	46→56	37→40	57→60	51	211/279/293	82	248	2	14	16%	8%	63	-1.3	227/286/295	68	281	2	19	19%	6%	67	-1.1	260/318/350	90	329	5	34	21%	7%	87	+0.2
●Jorbit Vivas 2021 · A	20	46→56	37→45	49→50	47	215/289/297	81	268	3	11	20%	7%	69	-0.9	253/327/377	124	285	11	7	15%	7%	101	+1.4	252/334/373	121	281	11	9	14%	8%	101	+1.3
✕Luis Durango 2006 · A	20	50→60	34→30	46→60	55	229/318/279	50	272	1	16	15%	9%	76	-0.4	259/329/316	57	311	1	16	15%	9%	87	+0.4	289/354/322	33	347	0	30	15%	9%	94	+0.8
●Boog Powell 2014 · A	21	49→59	35→40	48→50	50	229/285/287	59	270	3	9	16%	7%	64	-1.3	271/337/349	78	339	4	14	19%	9%	97	+1.1	282/341/380	98	341	7	16	18%	8%	103	+1.0
✕Kendall George 2024 · A	19	55→60	36→30	52→65	48	253/320/322	69	342	3	22	25%	8%	85	+0.2	249/328/307	58	343	2	42	25%	10%	85	+0.2	262/344/315	53	355	2	56	24%	11%	90	+0.4
✕Eury Pérez 2010 · A	20	51→61	38→40	54→65	48	241/306/317	75	289	5	19	18%	7%	79	-0.2	271/304/332	61	335	3	34	19%	4%	80	-0.1	300/333/376	75	363	4	37	18%	3%	96	+0.8
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
●TJ Rumfield 2022 · A	22	49→59	37→45	48→45	57	227/326/300	73	279	5	6	19%	11%	84	+0.1	228/298/350	122	286	13	8	24%	8%	84	+0.2	263/339/386	123	311	12	3	18%	9%	107	+1.8

Ricardo Crespo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps