Cristofer Lebrón

SS FCL Cardinals

Age 20 R/R 6'2" / 170 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1671ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKSTL	112	.206/.294/.258	1	3	-1	—	.120/.193/.130
2025	18	ROKSTL	194	.277/.404/.428	4	12	42	—	.161/.269/.238
2026	19	A/ROKSTL	237	.278/.347/.425	6	25	49	—	.199/.250/.294
2027PROJMLE	20	MLBSTL	347	.208/.271/.302	5	8	62	-0.1
2028PROJ34% MLB	21	MLBSTL	65	.213/.277/.315	1	1	68	-0.0
2029PROJ48% MLB	22	MLBSTL	144	.217/.282/.325	2	3	72	0.0

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 A

Speed61

Z-Con%51

Whiff%44

Chase%31

K%23

BB%17

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsGilberto Celestino (age 20) · Jorge Alcantara (age 20) · Tito Polo (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 138 proj PA

wRC+†62

AVG/OBP/SLG.207 / .268 / .299

PA138

HR2

K%28

BB%7

ISO93

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE55

scouting grade only

SPEED55

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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Arb-2	$5M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$0.8M	+$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)
2024	17	ROK	DSL Cardinals	—	112	97	20	2	0	1	9	29	3	3	3	206	294	258	551	52	271	26	8	255	-1	—	—	—	—	—	—
2025	18	ROK	DSL Cardinals	—	194	159	44	12	0	4	29	39	5	12	6	277	404	428	832	151	342	20	15	376	42	—	—	—	—	—	—
2026	19	A	Palm Beach Cardinals	—	58	53	13	0	0	0	4	23	0	7	2	245	298	245	544		419	40	7	251	13	—	—	—	—	—	—
2026	19	ROK	FCL Cardinals	—	179	159	46	11	1	6	18	42	1	18	4	289	363	484	847	195	360	23	10	374	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cardinals	—	112	100	12	1	0	0	6	36	3	3	3	120	193	130	323	10	180	32	5	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	194	168	27	7	0	2	20	49	5	12	6	161	269	238	508	77	208	25	10	231	42	—	—	—	—	—	—
2026	19	A MLE	Palm Beach Cardinals	—	58	54	10	0	0	0	3	31	0	7	2	185	228	185	413		400	53	5	188	13	—	—	—	—	—	—
2026	19	ROK MLE	FCL Cardinals	—	179	167	34	7	1	4	11	61	1	18	4	204	257	329	586	126	290	34	6	258	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	112	100	12	1	0	0	6	36	3	3	3	120	193	130	323	10	179	32	5	167	-1	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cardinals	—	112	97	20	2	0	1	9	29	3	3	3	206	294	258	551	52	271	26	8	255	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	194	168	27	7	0	2	20	49	5	12	6	161	269	238	508	77	212	25	10	231	42	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cardinals	—	194	159	44	12	0	4	29	39	5	12	6	277	404	428	832	151	342	20	15	376	42	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	237	221	44	7	1	4	14	92	1	25	6	199	250	294	544	95	317	39	6	241	49	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	237	212	59	11	1	6	22	65	1	25	6	278	347	425	772	146	373	27	9	344	49	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	112	102	12	1	0	0	6	36	3	3	3	118	193	127	320	10	180	32	5	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	194	167	27	7	0	2	20	49	5	12	6	162	269	240	509	78	208	25	10	231	42	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	237	220	44	7	1	4	14	92	1	25	6	200	250	295	545	95	317	39	6	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Cardinals	—	112	102	12	1	0	0	6	36	3	3	3	118	193	127	320	10	180	32	5	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	194	167	27	7	0	2	20	49	5	12	6	162	269	240	509	78	208	25	10	231	42	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	237	220	44	7	1	4	14	92	1	25	6	200	250	295	545	95	317	39	6	241	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	STL	0%	347	317	66	12	2	5	24	96	3	8	2	208	271	302	572	93	280	28	7	260	62	-16	+1	+0	+4	+8	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	STL	34%	190	173	37	7	1	3	13	51	2	4	1	213	277	316	593	103	281	27	7	268	68	-7	+0	+0	+2	+4	-0.1
2029	22	MLB MLE	STL	48%	297	271	59	11	2	5	21	79	3	7	2	217	281	327	608	110	283	27	7	274	72	-10	+1	+0	+3	+6	0.0
2030	23	MLB MLE	STL	54%	380	345	76	14	2	7	28	100	4	9	2	220	285	335	620	115	284	26	7	279	75	-11	+1	+0	+4	+8	0.2
2031	24	MLB MLE	STL	55%	435	396	88	16	2	9	32	113	4	10	3	222	288	341	629	119	285	26	7	283	77	-12	+1	+0	+5	+9	0.3
2032	25	MLB MLE	STL	56%	462	420	93	17	2	10	34	119	5	10	3	223	290	345	635	121	286	26	7	285	79	-11	+1	+0	+5	+10	0.4
2033	26	MLB MLE	STL	56%	476	433	97	18	3	10	35	123	5	10	3	223	289	345	634	121	285	26	7	285	79	-12	+1	+0	+5	+10	0.4
2034	27	MLB MLE	STL	55%	481	437	97	18	2	10	36	125	5	10	3	222	289	342	631	120	285	26	7	284	78	-13	+1	+0	+5	+10	0.4
2035	28	MLB MLE	STL	55%	477	433	95	18	2	9	36	125	5	9	3	220	287	338	624	117	284	26	8	281	76	-13	+1	-1	+5	+10	0.2
2036	29	MLB MLE	STL	53%	468	426	93	17	2	9	35	124	4	8	3	218	284	332	616	114	283	26	7	278	74	-14	+0	-1	+5	+10	-0.0
2037	30	MLB MLE	STL	53%	456	416	89	16	2	8	33	122	4	7	3	215	281	325	605	109	281	27	7	273	71	-16	+0	-2	+5	+10	-0.3
2028	21	MLB CTX	STL	34%	65	59	12	2	0	1	5	18	1	1	0	213	277	315	592	101	283	28	8	268	68	-3	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	STL	48%	144	132	28	5	1	2	10	38	1	3	1	217	282	325	607	108	285	26	7	274	72	-5	+0	+0	+2	+3	0.0
2030	23	MLB CTX	STL	54%	206	187	42	8	1	4	15	54	2	5	1	220	285	333	618	113	286	26	7	278	75	-6	+1	+0	+2	+4	0.1
2031	24	MLB CTX	STL	55%	241	219	49	9	1	5	18	63	2	5	1	222	288	338	626	116	287	26	7	282	77	-6	+1	+0	+3	+5	0.2
2032	25	MLB CTX	STL	56%	259	235	52	10	1	5	19	67	3	6	2	224	290	342	632	118	288	26	7	284	79	-6	+0	+0	+3	+6	0.2
2033	26	MLB CTX	STL	56%	268	243	53	10	1	5	20	69	3	6	2	223	290	342	631	118	287	26	7	284	79	-7	+0	+0	+3	+6	0.2
2034	27	MLB CTX	STL	55%	266	241	53	10	1	5	20	69	3	6	2	222	289	339	628	117	287	26	8	283	78	-7	+0	+0	+3	+6	0.2
2035	28	MLB CTX	STL	55%	261	237	52	10	1	5	19	68	3	5	2	221	287	335	622	114	286	26	7	280	76	-7	+0	-0	+3	+6	0.1
2036	29	MLB CTX	STL	53%	250	227	49	9	1	4	19	66	2	4	1	219	284	329	614	111	285	26	8	277	74	-8	+0	-1	+3	+5	0.0
2037	30	MLB CTX	STL	53%	240	218	47	9	1	4	18	64	2	4	2	216	281	322	603	107	283	27	8	273	71	-8	+0	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2200	1998	437	82	9	40	163	576	22	45	14	219	285	329	614	110	285	26	7	280	71	-63	+3	-2	+24	+48	0.9
/ 162G	—	A+C		—	650	590	129	24	3	12	48	170	6	13	4	219	284	331	614	112	285	26	7	280	71	-19	+1	-1	+7	+14	0.3
Career	—	MLE		—	4803	4366	934	172	22	88	352	1296	51	127	42	214	280	324	604	110	281	27	7	273	71	-126	+7	-4	+46	+92	1.5
/ 162G	—	MLE		—	650	591	126	23	3	12	48	175	7	17	6	213	280	323	603	110	280	27	7	273	71	-19	+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 ROKFCL Cardinals · 179 PAwOBA .364 → .258 (−105)K% 23.5% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.46%	÷1.000	×1.440	—	—	33.79%
BB% (unintentional) /PA	10.06%	÷1.000	×0.620	—	×1.008	6.28%
HBP% /PA	0.56%	—	×0.720	—	×1.008	0.41%
Singles /BIP	23.93%	÷1.000	×0.820	×1.024	×1.008	20.25%
Doubles /BIP	9.40%	÷1.000	×0.720	×1.024	×1.008	6.99%
Triples /BIP	0.85%	÷1.000	×0.720	×1.024	×1.008	0.64%
Home runs /BIP	5.13%	÷1.000	×0.780	—	×1.008	4.03%

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 ×1.024.

Result: wOBA .364 → .258; ISO .195 → .136; BABIP .360 → .290. 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 APalm Beach Cardinals · 58 PAwOBA .249 → .188 (−61)K% 39.7% → 53.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.66%	÷1.000	×1.360	—	—	53.93%
BB% (unintentional) /PA	6.90%	÷1.000	×0.690	—	×1.045	4.97%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	43.33%	÷1.000	×0.920	—	×1.045	41.66%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .249 → .188; ISO .000 → .000; BABIP .419 → .400. 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 Cardinals · 194 PAwOBA .369 → .231 (−138)K% 20.1% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.10%	÷0.961	×1.220	—	—	25.53%
BB% (unintentional) /PA	14.95%	÷1.022	×0.700	—	×1.008	10.31%
HBP% /PA	2.58%	—	×0.700	—	×1.008	1.82%
Singles /BIP	23.33%	÷1.019	×0.680	×0.950	×1.008	14.91%
Doubles /BIP	10.00%	÷0.990	×0.600	×0.950	×1.008	5.80%
Triples /BIP	0.00%	÷1.150	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	3.33%	÷1.047	×0.470	—	×1.008	1.51%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — 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 ×0.950.

Result: wOBA .369 → .231; ISO .151 → .079; BABIP .342 → .208. 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 Cardinals · 112 PAwOBA .255 → .167 (−88)K% 25.9% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.89%	÷0.992	×1.220	—	—	31.86%
BB% (unintentional) /PA	8.04%	÷1.033	×0.700	—	×1.022	5.57%
HBP% /PA	2.68%	—	×0.700	—	×1.022	1.92%
Singles /BIP	25.00%	÷0.997	×0.680	×0.969	×1.022	16.90%
Doubles /BIP	2.94%	÷0.976	×0.600	×0.969	×1.022	1.79%
Triples /BIP	0.00%	÷1.132	×0.600	×0.969	×1.022	0.00%
Home runs /BIP	1.47%	÷1.307	×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 161, 1B 99, 2B 95, 3B 126, K 98, BB 107 — 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 ×0.969.

Result: wOBA .255 → .167; ISO .052 → .024; BABIP .271 → .180. 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
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Gene 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
#3Ronny 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
#4Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.5	2,338	45	48	220	283	336	+25	+18	2.4	2.3
/162	664	13	14	+7.1	+5.1	0.7	pk7: 2
#5Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	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
Cristofer Lebrón (OGILVIE)	20	45	35	55	55	207/268/299	93	280	2	3	28%	7%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Jorge Alcantara 2012 · A	20	44	40→45	52→50	42	209/274/307	98	306	7	12	32%	8%	65	-1.2	190/261/285	95	288	7	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Liover Peguero 2021 · A	20	45→49	38→45	50→55	41	212/263/292	80	293	5	9	28%	6%	57	-1.8	229/272/346	117	315	12	22	30%	5%	73	-0.6	229/273/352	123	303	13	24	28%	5%	72	-0.6
✕Adan Velazquez 2010 · A	20	41→51	40→45	53→50	45	197/263/292	95	245	6	11	22%	6%	58	-1.7	203/256/288	85	282	5	10	28%	5%	54	-2.0	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Danny De Andrade 2024 · A	20	41	42→45	51→50	45	201/277/305	104	269	9	11	28%	8%	67	-1.1	201/270/315	114	278	10	11	30%	7%	66	-1.1	190/254/309	120	266	11	10	31%	6%	56	-1.1
✕Derrik Gibson 2010 · A	20	48→56	37→40	56→55	45	224/290/300	76	303	3	16	26%	7%	70	-0.9	206/266/261	55	280	1	18	25%	7%	51	-2.3	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Christian Lopes 2013 · A	20	42→52	42→45	53→50	42	207/256/324	117	265	8	8	25%	5%	62	-1.4	209/263/288	79	265	4	4	22%	6%	56	-1.9	233/301/343	110	279	9	15	19%	8%	81	-0.0
✕Jesus Hernandez 2024 · A	20	42	37→40	51→55	53	199/281/271	72	257	5	13	23%	10%	60	-1.6	199/278/287	88	284	6	18	29%	9%	63	-1.4	199/280/289	90	282	6	24	29%	9%	62	-0.7
✕Pablo Olivares 2018 · A	20	44	36→40	49→50	43	207/279/278	72	283	3	10	26%	6%	61	-1.5	227/298/305	78	294	6	13	23%	6%	74	-0.5	220/297/294	73	283	5	14	22%	7%	68	-0.5
✕Luke Williams 2017 · A	20	46→44	36→45	50→65	47	216/284/281	65	293	3	11	26%	8%	63	-1.4	196/247/266	70	262	5	17	26%	6%	45	-2.7	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Juan Guerrero 2022 · A	20	44→54	40→45	48→50	44	215/271/312	97	270	8	13	23%	6%	65	-1.2	228/272/334	106	283	9	12	22%	5%	70	-0.8	234/274/330	96	285	8	15	21%	4%	68	-0.8
✕Christian Cairo 2022 · A	21	41→49	40	53→60	46	191/289/283	92	297	8	16	35%	10%	67	-1.1	200/301/282	82	297	6	18	31%	11%	71	-0.8	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	212/271/300	88	287	7	7	27%	6%	63	-1.4	190/257/269	79	268	7	6	30%	7%	50	-1.3
✕Jorge Vega-Rosado 2012 · A	20	46	41→45	55	41	224/274/324	100	303	8	19	28%	6%	69	-0.9	204/260/285	81	308	6	14	33%	6%	55	-2.0	172/231/229	57	271	4	15	36%	6%	30	-1.4
✕Charlie Culberson 2009 · A	20	45→54	38→45	50	40	214/264/296	82	286	5	12	26%	5%	58	-1.7	223/262/312	89	296	7	12	26%	4%	61	-1.5	253/299/420	167	321	18	9	26%	5%	101	+0.6
✕Druw Jones 2024 · A	20	45→55	39→40	51→55	45	208/281/293	85	320	7	13	35%	9%	65	-1.2	223/301/314	91	356	6	18	35%	10%	77	-0.3	226/303/314	88	356	5	23	35%	9%	76	-0.4
✕Ronarsy Ledesma 2013 · A	20	45	38→45	50	46	212/286/299	87	263	3	13	20%	6%	69	-0.9	206/258/299	93	276	6	9	26%	5%	57	-1.8	193/236/284	91	271	8	8	31%	4%	43	-0.9
✕Yorberto Mejicano 2021 · A	20	44	36→45	53→45	48	207/271/275	68	270	3	10	23%	8%	57	-1.8	225/279/332	107	302	11	8	28%	6%	73	-0.6	213/267/311	98	282	10	9	27%	6%	61	-0.6

Cristofer Lebrón

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps