Carlos Garces

IF ACL Guardians

Age 20 S/R 5'7" / 143 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1596ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL CLE Mendo…	130	.226/.354/.321	0	4	26	—	.135/.244/.180
2025	18	ROKDSL CLE Mendo…	191	.234/.413/.362	1	16	53	—	.154/.315/.235
2026	19	ROKCLE	172	.244/.422/.354	2	26	65	—	.196/.331/.290
2027PROJMLE	20	MLBCLE	282	.211/.293/.295	2	7	69	0.0
2028PROJ34% MLB	21	MLBCLE	48	.215/.298/.309	1	1	75	-0.0
2029PROJ48% MLB	22	MLBCLE	113	.219/.302/.323	2	3	80	-0.0

Next 3 projected WAR -0.0Projected 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

Speed96

K%81

Whiff%74

Z-Con%72

wRC+66

BB%64

Career WAR0.0 WAR median (P10 0.0 / P90 0.7, comp-based) · star 0% · didn't stick 92%

CompsMike McDade (age 19) · Jimmy Paredes (age 21) · Stanley Martinez (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 89 proj PA

wRC+†69

AVG/OBP/SLG.209 / .291 / .293

PA89

HR1

K%24

BB%8

ISO85

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE55

scouting grade only

SPEED60

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	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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 CLE Mendoza	—	130	106	24	6	2	0	18	15	3	4	6	226	354	321	675	94	255	12	14	309	26	—	—	—	—	—	—
2025	18	ROK	DSL CLE Mendoza	—	191	141	33	5	5	1	28	11	15	16	2	234	413	362	775	128	237	6	15	351	53	—	—	—	—	—	—
2026	19	ROK	ACL Guardians	—	172	127	31	4	2	2	30	26	9	26	5	244	422	354	776	110	287	15	17	354	65	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL CLE Mendoza	—	130	111	15	3	1	0	13	19	3	4	6	135	244	180	424	45	158	15	10	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Mendoza	—	191	149	23	3	3	1	20	14	15	16	2	154	315	235	550	81	148	7	10	247	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Guardians	—	172	138	27	3	2	2	19	37	9	26	5	196	331	290	621	94	228	22	11	265	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Mendoza	—	130	111	15	3	1	0	13	19	3	4	6	135	244	180	424	45	158	15	10	207	26	—	—	—	—	—	—
2024	17	ROK RAW	DSL CLE Mendoza	—	130	106	24	6	2	0	18	15	3	4	6	226	354	321	675	94	255	12	14	309	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Mendoza	—	191	149	23	3	3	1	20	14	15	16	2	154	315	235	550	81	157	7	10	247	53	—	—	—	—	—	—
2025	18	ROK RAW	DSL CLE Mendoza	—	191	141	33	5	5	1	28	11	15	16	2	234	413	362	775	128	237	6	15	351	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Guardians	—	172	138	27	3	2	2	19	37	9	26	5	196	331	290	621	94	248	22	11	265	65	—	—	—	—	—	—
2026	19	ROK RAW	ACL Guardians	—	172	127	31	4	2	2	30	26	9	26	5	244	422	354	776	110	287	15	17	354	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Mendoza	—	130	113	15	3	1	0	13	19	3	4	6	133	244	177	421	44	158	15	10	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Mendoza	—	191	154	23	3	3	1	20	14	15	16	2	149	315	227	542	78	148	7	10	247	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Guardians	—	172	142	27	3	2	2	19	37	9	26	5	190	331	282	613	92	228	22	11	265	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL CLE Mendoza	—	130	113	15	3	1	0	13	19	3	4	6	133	244	177	421	44	158	15	10	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Mendoza	—	191	154	23	3	3	1	20	14	15	16	2	149	315	227	542	78	148	7	10	247	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Guardians	—	172	142	27	3	2	2	19	37	9	26	5	190	331	282	613	92	228	22	11	265	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CLE	0%	282	251	53	9	3	2	24	67	5	7	1	211	293	295	588	85	276	24	9	271	69	-10	+1	+0	+0	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CLE	34%	139	123	27	5	1	2	12	33	3	3	1	216	298	313	611	97	278	24	9	279	75	-4	+0	+0	+0	+3	-0.1
2029	22	MLB MLE	CLE	48%	234	208	45	8	2	3	20	55	4	6	1	220	302	326	628	106	280	24	9	286	80	-6	+1	+0	+0	+5	0.0
2030	23	MLB MLE	CLE	54%	329	292	65	11	3	5	28	76	6	8	2	223	305	336	641	113	281	23	9	291	83	-7	+1	+0	+0	+7	0.1
2031	24	MLB MLE	CLE	55%	394	350	79	14	3	7	34	91	7	10	2	226	307	344	651	118	283	23	9	295	86	-7	+1	+0	+0	+9	0.3
2032	25	MLB MLE	CLE	56%	434	386	88	15	4	8	37	100	8	11	2	227	308	349	657	122	283	23	9	297	87	-7	+1	+0	+0	+9	0.4
2033	26	MLB MLE	CLE	56%	453	403	91	16	4	8	39	104	8	11	3	227	308	349	657	122	283	23	9	297	87	-7	+1	+0	+0	+10	0.4
2034	27	MLB MLE	CLE	55%	460	409	92	16	4	8	40	107	8	11	3	226	307	347	654	121	282	23	9	296	86	-8	+1	+0	+0	+10	0.4
2035	28	MLB MLE	CLE	55%	460	409	92	16	4	8	40	108	8	10	3	224	305	342	647	118	281	23	9	293	84	-9	+1	-1	+0	+10	0.2
2036	29	MLB MLE	CLE	53%	452	402	89	15	4	8	39	107	8	9	3	222	302	335	637	114	280	24	9	289	82	-10	+1	-1	+0	+10	-0.1
2028	21	MLB CTX	CLE	34%	48	43	10	2	0	1	4	11	1	1	0	215	298	309	607	94	277	23	8	278	75	-1	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	CLE	48%	113	100	23	4	1	2	10	26	2	3	1	219	302	323	624	103	279	23	9	285	80	-3	+0	+0	+0	+2	-0.0
2030	23	MLB CTX	CLE	54%	178	158	35	6	1	3	15	41	3	4	1	223	304	333	637	110	280	23	8	290	83	-4	+0	+0	+0	+4	0.1
2031	24	MLB CTX	CLE	55%	218	193	44	8	2	4	19	50	4	5	1	225	307	341	647	116	282	23	9	293	86	-4	+1	+0	+0	+5	0.2
2032	25	MLB CTX	CLE	56%	243	216	49	9	2	4	21	56	4	6	1	227	308	346	654	119	282	23	9	296	87	-4	+1	+0	+0	+5	0.2
2033	26	MLB CTX	CLE	56%	255	226	52	9	2	5	22	59	5	6	1	227	308	346	654	120	282	23	9	296	87	-4	+1	+0	+0	+6	0.3
2034	27	MLB CTX	CLE	55%	254	226	51	9	2	5	22	59	4	6	1	225	307	344	650	118	282	23	9	295	86	-4	+1	+0	+0	+6	0.2
2035	28	MLB CTX	CLE	55%	252	224	50	9	2	4	22	59	4	6	1	224	305	339	644	115	281	23	9	292	84	-5	+1	-0	+0	+5	0.1
2036	29	MLB CTX	CLE	53%	241	214	47	8	2	4	21	57	4	5	1	221	302	333	634	112	279	24	9	288	82	-5	+1	-1	+0	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1802	1600	361	64	14	32	156	418	31	42	8	226	307	343	650	118	284	23	9	292	80	-33	+5	-1	+0	+39	1.0
/ 162G	—	A+C		—	650	577	131	23	5	12	56	151	11	15	3	227	307	347	654	120	285	23	9	292	80	-12	+2	-0	+0	+14	0.4
Career	—	MLE		—	3937	3460	750	128	36	61	348	872	89	127	33	217	305	327	632	111	270	22	9	286	80	-66	+8	-2	+0	+75	1.5
/ 162G	—	MLE		—	650	571	124	21	6	10	57	144	15	21	5	217	304	327	632	110	271	22	9	286	80	-12	+2	-0	+0	+14	0.3

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 ROKACL Guardians · 172 PAwOBA .350 → .265 (−85)K% 15.1% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.12%	÷1.000	×1.440	—	—	21.77%
BB% (unintentional) /PA	17.44%	÷1.000	×0.620	—	×0.995	10.76%
HBP% /PA	5.23%	—	×0.720	—	×0.995	3.75%
Singles /BIP	22.77%	÷1.000	×0.820	×1.002	×0.995	18.62%
Doubles /BIP	3.96%	÷1.000	×0.720	×1.002	×0.995	2.84%
Triples /BIP	1.98%	÷1.000	×0.720	×1.002	×0.995	1.42%
Home runs /BIP	1.98%	÷1.000	×0.780	—	×0.995	1.54%

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 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 ×1.002.

Result: wOBA .350 → .265; ISO .110 → .089; BABIP .287 → .228. 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 CLE Mendoza · 191 PAwOBA .355 → .247 (−108)K% 5.8% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.76%	÷0.981	×1.220	—	—	7.16%
BB% (unintentional) /PA	14.66%	÷0.977	×0.700	—	×0.995	10.45%
HBP% /PA	7.85%	—	×0.700	—	×0.995	5.47%
Singles /BIP	16.92%	÷1.003	×0.680	×0.950	×0.995	10.85%
Doubles /BIP	3.85%	÷0.970	×0.600	×0.950	×0.995	2.25%
Triples /BIP	3.85%	÷0.991	×0.600	×0.950	×0.995	2.20%
Home runs /BIP	0.77%	÷0.940	×0.470	—	×0.995	0.38%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 101, 2B 94, 3B 98, K 96, BB 95 — 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 ×0.950.

Result: wOBA .355 → .247; ISO .128 → .081; BABIP .237 → .148. 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 CLE Mendoza · 130 PAwOBA .309 → .207 (−102)K% 11.5% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷0.987	×1.220	—	—	14.27%
BB% (unintentional) /PA	13.85%	÷0.986	×0.700	—	×1.008	9.90%
HBP% /PA	2.31%	—	×0.700	—	×1.008	1.63%
Singles /BIP	17.58%	÷0.995	×0.680	×0.959	×1.008	11.60%
Doubles /BIP	6.59%	÷1.091	×0.600	×0.959	×1.008	3.50%
Triples /BIP	2.20%	÷1.045	×0.600	×0.959	×1.008	1.22%
Home runs /BIP	0.00%	÷1.000	×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 100, 1B 99, 2B 118, 3B 109, K 97, BB 97 — 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 ×0.959.

Result: wOBA .309 → .207; ISO .094 → .054; BABIP .255 → .158. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Pat Kelly'91-'99 * career totals — 8 seasons, 2,235 PA	3.4	2,235	36	61	242*	299*	375*	+6	+11	3.7	3.8
/162	664	11	18	+1.7	+3.2	1.1	pk7: 4
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,893	32	45	225	303	341	+0	+0	2.3	2.2
/162	664	11	16	+0.0	+0.0	0.8	pk7: 2
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#6Carlos Febles'98-'03 * career totals — 5 seasons, 1,892 PA	2.8	1,892	24	68	239*	316*	342*	+6	-4	0.5	0.5
/162	664	8	24	+2.2	-1.5	0.2	pk7: 0

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
Carlos Garces (OGILVIE)	20	45	25	60	55	209/291/293	84	276	1	2	24%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mike McDade 2008 · A	19	40→50	37→50	48→30	40	194/243/261	68	268	4	4	28%	6%	42	-2.9	203/244/308	105	302	11	2	35%	5%	54	-2.0	252/298/377	125	322	14	1	25%	5%	89	+0.4
✕Jimmy Paredes 2010 · A	21	43→53	37→50	50→55	40	202/239/274	72	247	3	8	20%	3%	43	-2.8	244/269/352	108	318	7	25	25%	3%	72	-0.7	255/284/384	129	348	12	15	30%	4%	85	+0.2
✕Stanley Martinez 2016 · A	19	38	35→40	48→50	47	180/250/246	66	242	2	9	25%	8%	42	-2.9	186/264/260	74	244	5	8	24%	8%	51	-2.2	179/260/250	71	234	6	7	24%	8%	47	-0.9
✕Gino Moranci 2010 · A	20	39	34→30	47→45	49	182/256/235	53	241	2	6	24%	8%	42	-2.9	188/245/245	57	274	2	5	30%	7%	40	-3.1	164/192/190	26	253	0	0	34%	3%	3	-1.0
✕Samir Mendez 2012 · A	20	42	37→30	47→45	42	201/239/271	70	242	5	7	19%	4%	42	-2.9	199/236/261	62	264	4	6	25%	4%	39	-3.1	167/185/179	13	227	0	0	26%	2%	-2	-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
✕Rafael Gamboa 2016 · A	20	41	36→40	49→30	46	193/242/263	70	223	3	4	16%	5%	42	-2.9	186/246/252	66	220	3	5	16%	7%	42	-2.9	125/204/161	37	141	0	3	10%	8%	6	-1.4
✕Jhonny Gomez 2008 · A	18	37	36→30	46→40	45	177/251/242	66	264	4	11	32%	8%	42	-2.9	191/272/244	53	248	2	7	22%	9%	51	-2.3	214/286/257	43	274	2	4	21%	7%	57	-0.7
✕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
✕Gerardo Carrizalez 2014 · A	19	39	36→30	50→45	42	187/246/253	66	256	3	7	27%	6%	42	-2.9	170/234/225	55	227	2	7	24%	7%	32	-3.7	139/207/177	39	182	1	6	23%	7%	11	-1.9
✕Jose Vicente 2016 · A	20	40→39	37→50	42→30	48	185/245/256	71	219	4	3	17%	7%	42	-2.9	207/249/315	108	273	10	3	27%	5%	57	-1.8	209/240/342	133	275	15	1	29%	4%	57	-0.7
✕Jhimmy Lopez 2013 · A	20	38	38→40	43→40	37	187/237/268	81	268	5	4	31%	5%	42	-2.9	190/245/268	78	303	5	5	36%	6%	45	-2.7	123/184/161	37	214	4	0	42%	6%	-4	-1.1
✕Franco Pizzoli 2013 · A	19	43	34→30	43→30	47	196/249/251	55	225	2	3	14%	5%	42	-2.9	209/256/270	61	249	3	4	16%	5%	49	-2.4	210/248/252	42	241	2	0	13%	3%	40	-0.9
✕Nicol Valderrey 2015 · A	18	36	38→30	47→40	41	179/245/253	75	261	6	3	32%	7%	42	-2.9	193/248/251	58	274	3	3	29%	6%	42	-2.9	195/244/231	36	257	1	0	23%	5%	33	-1.7
✕Luis Montero 2015 · A	19	42	34→30	40→45	48	192/252/245	53	224	2	5	15%	6%	42	-2.9	192/258/249	57	244	1	6	20%	7%	46	-2.6	171/243/221	50	221	0	4	21%	7%	32	-1.2
✕Carlos Duran 2013 · A	21	40	35→30	41→40	52	179/256/235	55	205	2	4	14%	7%	42	-2.9	199/243/277	78	231	5	4	15%	5%	46	-2.6	192/220/274	82	207	5	0	10%	3%	32	-1.1
✕Bryan Santos 2019 · A	20	39	35→30	39→40	47	182/250/245	64	237	2	4	23%	8%	42	-2.9	190/252/255	65	240	2	5	20%	7%	45	-2.7	163/231/215	51	201	1	4	18%	8%	27	-1.8
✕Carlos Franco 2010 · A	18	39→49	37→45	41→45	39	182/244/257	75	292	4	5	37%	7%	42	-2.9	176/239/248	72	260	5	8	32%	7%	39	-3.1	214/266/324	110	318	13	2	35%	6%	64	-1.1
✕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 2013 · A	19	39	35→30	49→55	49	184/264/242	58	251	2	14	26%	9%	47	-2.5	187/258/253	66	259	3	14	26%	8%	47	-2.5	125/214/174	48	168	0	24	23%	9%	12	-1.1

Carlos Garces

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps