Carlos Cauro

C Fayetteville Woodpeckers

Age 22 R/R 6'2" / 184 lbs A HR -6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#353ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKHOU	125	.255/.339/.400	4	2	41	—	.191/.250/.296
2025	20	AHOU	32	.231/.375/.615	3	0	79	—	.179/.281/.429
2026	21	AHOU	271	.255/.380/.386	7	4	76	—	.216/.316/.323
2027PROJMLE	22	MLBHOU	381	.212/.296/.337	9	6	80	0.4
2028PROJ43% MLB	23	MLBHOU	86	.218/.301/.348	2	2	83	0.2
2029PROJ58% MLB	24	MLBHOU	163	.221/.303/.355	4	3	86	0.4

Next 3 projected WAR 1.0Projected 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

Z-Con%77

Whiff%74

wRC+66

Chase%66

wOBA62

BB%62

Career WAR0.0 WAR median (P10 0.0 / P90 6.9, comp-based) · star 2% · didn't stick 87%

CompsAlexander Campos (age 22) · Miguel Amaya (age 22) · Darrien Miller (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 161 proj PA

wRC+†80

AVG/OBP/SLG.210 / .293 / .334

PA161

HR4

K%27

BB%9

ISO124

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 36 / POW 47

Toolsscout grade

CONTACT36

scouting grade only

POWER47

scouting grade only

EYE60

scouting grade only

SPEED51

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	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$5M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 HOU Blue	—	82	68	13	2	0	0	11	21	2	0	1	191	321	221	542	29	271	26	13	264	7	—	—	—	—	—	—
2023	18	ROK	DSL Astros Blue	—	180	144	45	12	0	6	29	43	6	1	0	312	447	521	968	208	406	24	16	428	64	—	—	—	—	—	—
2024	19	ROK	FCL Astros	—	125	110	28	4	0	4	12	30	2	2	2	255	339	400	739	145	312	24	10	331	41	—	—	—	—	—	—
2025	20	A	Fayetteville Woodpeckers	—	32	26	6	1	0	3	6	12	0	0	1	231	375	615	990	385	273	38	19	423	79	—	—	—	—	—	—
2026	21	A	Fayetteville Woodpeckers	—	271	220	56	8	0	7	37	63	8	4	4	255	380	386	766	132	316	23	14	346	76	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL HOU Blue	—	82	71	9	1	0	0	8	26	2	0	1	127	235	141	375	14	182	32	10	179	7	—	—	—	—	—	—
2023	18	ROK MLE	DSL Astros Blue	—	180	152	28	7	0	3	21	52	6	1	0	184	307	289	597	105	240	29	12	263	64	—	—	—	—	—	—
2024	19	ROK MLE	FCL Astros	—	125	115	22	3	0	3	7	43	2	2	2	191	250	296	546	104	257	34	6	229	41	—	—	—	—	—	—
2025	20	A MLE	Fayetteville Woodpeckers	—	32	28	5	1	0	2	4	16	0	0	1	179	281	429	710	250	239	50	12	285	79	—	—	—	—	—	—
2026	21	A MLE	Fayetteville Woodpeckers	—	271	232	50	7	0	6	26	86	8	4	4	216	316	323	639	108	287	32	10	280	76	—	—	—	—	—	—
2022	17	ROK MLE	DSL HOU Blue	—	82	71	9	1	0	0	8	26	2	0	1	127	235	141	375	14	196	32	10	179	7	—	—	—	—	—	—
2022	17	ROK RAW	DSL HOU Blue	—	82	68	13	2	0	0	11	21	2	0	1	191	321	221	542	29	271	26	13	264	7	—	—	—	—	—	—
2023	18	ROK MLE	DSL Astros Blue	—	180	152	28	7	0	3	21	52	6	1	0	184	307	289	597	105	255	29	12	263	64	—	—	—	—	—	—
2023	18	ROK RAW	DSL Astros Blue	—	180	144	45	12	0	6	29	43	6	1	0	312	447	521	968	208	406	24	16	428	64	—	—	—	—	—	—
2024	19	ROK MLE	FCL Astros	—	125	115	22	3	0	3	7	43	2	2	2	191	250	296	546	104	271	34	6	229	41	—	—	—	—	—	—
2024	19	ROK RAW	FCL Astros	—	125	110	28	4	0	4	12	30	2	2	2	255	339	400	739	145	312	24	10	331	41	—	—	—	—	—	—
2025	20	A MLE	Fayetteville Woodpeckers	—	32	28	5	1	0	2	4	16	0	0	1	179	281	429	710	250	300	50	12	285	79	—	—	—	—	—	—
2025	20	A RAW	Fayetteville Woodpeckers	—	32	26	6	1	0	3	6	12	0	0	1	231	375	615	990	385	273	38	19	423	79	—	—	—	—	—	—
2026	21	A MLE	Fayetteville Woodpeckers	—	271	232	50	7	0	6	26	86	8	4	4	216	316	323	639	108	303	32	10	280	76	—	—	—	—	—	—
2026	21	A RAW	Fayetteville Woodpeckers	—	271	220	56	8	0	7	37	63	8	4	4	255	380	386	766	132	316	23	14	346	76	—	—	—	—	—	—
2022	17	ROK MLE	DSL HOU Blue	—	82	72	9	1	0	0	8	26	2	0	1	125	235	139	373	14	182	32	10	179	7	—	—	—	—	—	—
2023	18	ROK MLE	DSL Astros Blue	—	180	151	28	7	0	3	21	52	6	1	0	185	307	291	599	106	240	29	12	263	64	—	—	—	—	—	—
2024	19	ROK MLE	FCL Astros	—	125	115	22	3	0	3	7	43	2	2	2	191	250	296	546	104	257	34	6	229	41	—	—	—	—	—	—
2025	20	A MLE	Fayetteville Woodpeckers	—	32	28	5	1	0	2	4	16	0	0	1	179	281	429	710	250	239	50	12	285	79	—	—	—	—	—	—
2026	21	A MLE	Fayetteville Woodpeckers	—	271	235	50	7	0	6	26	86	8	4	4	213	316	319	635	106	287	32	10	280	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Astros	—	125	115	22	3	0	3	7	43	2	2	2	191	250	296	546	104	257	34	6	229	41	—	—	—	—	—	—
2025	20	A MLE	Fayetteville Woodpeckers	—	32	28	5	1	0	2	4	16	0	0	1	179	281	429	710	250	239	50	12	285	79	—	—	—	—	—	—
2026	21	A MLE	Fayetteville Woodpeckers	—	271	235	50	7	0	6	26	86	8	4	4	213	316	319	635	106	287	32	10	280	76	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	HOU	0%	381	338	72	12	2	9	34	102	6	6	2	212	296	337	632	124	274	27	9	287	80	-9	+0	+0	+7	+8	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	HOU	43%	199	176	39	7	1	5	18	53	3	3	1	216	299	346	645	130	276	27	9	291	83	-4	+0	+0	+4	+4	0.4
2029	24	MLB MLE	HOU	58%	281	249	54	9	1	7	26	73	4	5	2	219	301	352	654	134	277	26	9	295	86	-5	+0	+0	+5	+6	0.7
2030	25	MLB MLE	HOU	65%	337	298	67	12	2	9	31	87	5	6	2	220	303	356	659	136	278	26	9	297	87	-5	+0	+0	+6	+7	0.9
2031	26	MLB MLE	HOU	68%	370	328	74	13	2	10	34	95	5	7	3	222	303	359	662	137	279	26	9	298	88	-5	+0	+0	+7	+8	1.0
2032	27	MLB MLE	HOU	68%	383	340	75	13	2	10	35	98	5	7	3	222	303	358	662	137	279	26	9	298	88	-6	+0	+0	+7	+8	1.0
2033	28	MLB MLE	HOU	68%	386	343	76	13	2	10	35	100	5	6	3	220	301	354	655	134	278	26	9	295	86	-6	+0	-1	+7	+8	0.8
2034	29	MLB MLE	HOU	66%	380	338	74	13	2	9	34	99	5	6	3	217	298	347	645	130	276	26	9	292	83	-7	+0	-1	+7	+8	0.6
2035	30	MLB MLE	HOU	66%	370	329	70	12	1	9	33	98	5	5	3	214	295	339	634	125	274	26	9	287	80	-9	-0	-2	+7	+8	0.4
2036	31	MLB MLE	HOU	65%	338	301	64	11	1	8	30	91	4	4	4	210	290	329	619	119	271	27	9	281	76	-10	-1	-3	+6	+7	0.0
2028	23	MLB CTX	HOU	43%	86	77	16	3	0	2	8	23	1	2	1	218	301	348	649	130	280	27	9	293	83	-2	+0	+0	+2	+2	0.2
2029	24	MLB CTX	HOU	58%	163	145	32	6	1	4	15	43	2	3	1	221	303	355	658	134	282	26	9	297	86	-3	+0	+0	+3	+4	0.4
2030	25	MLB CTX	HOU	65%	218	193	43	8	1	5	20	56	3	4	1	223	305	359	663	136	282	26	9	299	87	-3	+0	+0	+4	+5	0.6
2031	26	MLB CTX	HOU	68%	252	224	49	9	1	6	23	65	3	5	2	224	306	361	666	137	283	26	9	300	88	-4	+0	+0	+4	+5	0.7
2032	27	MLB CTX	HOU	68%	260	231	52	10	1	7	24	67	3	5	2	224	305	361	666	137	283	26	9	300	88	-4	+0	+0	+5	+6	0.7
2033	28	MLB CTX	HOU	68%	262	233	52	10	1	6	24	68	3	4	2	222	303	356	659	134	282	26	9	297	86	-4	+0	-0	+5	+6	0.6
2034	29	MLB CTX	HOU	66%	252	224	49	9	1	6	23	66	3	4	2	220	300	349	650	130	280	26	9	293	83	-5	+0	-1	+4	+5	0.4
2035	30	MLB CTX	HOU	66%	243	216	48	9	1	6	22	64	3	3	2	216	297	341	638	125	278	26	9	289	80	-6	-0	-1	+4	+5	0.2
2036	31	MLB CTX	HOU	65%	220	196	42	8	1	5	19	59	3	2	2	212	292	331	623	119	275	27	9	283	76	-6	-0	-2	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1956	1739	383	72	8	47	178	511	24	32	15	220	301	352	653	132	283	26	9	295	80	-36	+0	-5	+35	+42	3.7
/ 162G	—	A+C		—	650	578	128	24	3	16	59	170	8	11	5	221	302	356	659	135	284	26	9	295	80	-12	+0	-2	+12	+14	1.2
Career	—	MLE		—	3895	3443	738	127	15	95	357	1060	61	59	33	214	299	343	642	128	278	27	9	286	80	-61	+0	-7	+57	+69	6.1
/ 162G	—	MLE		—	650	575	124	21	3	16	60	177	10	10	6	216	301	346	647	130	280	27	9	286	80	-12	+0	-1	+12	+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.

2026 AFayetteville Woodpeckers · 271 PAwOBA .344 → .280 (−64)K% 23.2% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.25%	÷1.000	×1.360	—	—	31.62%
BB% (unintentional) /PA	13.65%	÷1.000	×0.690	—	×1.015	9.56%
HBP% /PA	2.95%	—	×0.780	—	×1.015	2.34%
Singles /BIP	26.11%	÷1.000	×0.920	×0.997	×1.015	24.30%
Doubles /BIP	5.10%	÷1.000	×0.830	×0.997	×1.015	4.28%
Triples /BIP	0.00%	÷1.000	×0.910	×0.997	×1.015	0.00%
Home runs /BIP	4.46%	÷1.000	×0.800	—	×1.015	3.62%

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 ×0.997.

Result: wOBA .344 → .280; ISO .132 → .105; BABIP .316 → .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).

2025 AFayetteville Woodpeckers · 32 PAwOBA .411 → .285 (−126)K% 37.5% → 51.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷0.996	×1.360	—	—	51.22%
BB% (unintentional) /PA	18.75%	÷1.072	×0.690	—	×1.030	12.43%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	14.29%	÷0.979	×0.920	—	×1.030	13.83%
Doubles /BIP	7.14%	÷1.035	×0.830	—	×1.030	5.90%
Triples /BIP	0.00%	÷0.953	×0.910	—	×1.030	0.00%
Home runs /BIP	21.43%	÷1.005	×0.800	—	×1.030	17.57%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 96, 2B 107, 3B 91, K 99, BB 114 — 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).

Result: wOBA .411 → .285; ISO .385 → .262; BABIP .273 → .239. 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 Astros · 125 PAwOBA .322 → .229 (−93)K% 24.0% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.006	×1.440	—	—	34.36%
BB% (unintentional) /PA	8.80%	÷1.033	×0.620	—	×1.008	5.32%
HBP% /PA	1.60%	—	×0.720	—	×1.008	1.16%
Singles /BIP	25.00%	÷0.984	×0.820	×1.019	×1.008	21.40%
Doubles /BIP	5.00%	÷1.000	×0.720	×1.019	×1.008	3.70%
Triples /BIP	0.00%	÷0.936	×0.720	×1.019	×1.008	0.00%
Home runs /BIP	5.00%	÷1.111	×0.780	—	×1.008	3.54%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 122, 1B 97, 2B 100, 3B 87, K 101, BB 107 — 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 ×1.019.

Result: wOBA .322 → .229; ISO .145 → .096; BABIP .312 → .257. 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 Astros Blue · 180 PAwOBA .419 → .263 (−156)K% 23.9% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.89%	÷1.005	×1.220	—	—	28.99%
BB% (unintentional) /PA	16.11%	÷0.992	×0.700	—	×1.008	11.45%
HBP% /PA	3.33%	—	×0.700	—	×1.008	2.35%
Singles /BIP	26.73%	÷1.034	×0.680	×0.963	×1.008	17.06%
Doubles /BIP	11.88%	÷1.077	×0.600	×0.963	×1.008	6.42%
Triples /BIP	0.00%	÷1.030	×0.600	×0.963	×1.008	0.00%
Home runs /BIP	5.94%	÷0.950	×0.470	—	×1.008	2.96%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 107, 2B 115, 3B 106, K 101, BB 98 — 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 ×0.963.

Result: wOBA .419 → .263; ISO .208 → .109; BABIP .406 → .240. 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 HOU Blue · 82 PAwOBA .262 → .179 (−83)K% 25.6% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.61%	÷1.001	×1.220	—	—	31.20%
BB% (unintentional) /PA	13.41%	÷1.027	×0.700	—	×1.022	9.35%
HBP% /PA	2.44%	—	×0.700	—	×1.022	1.75%
Singles /BIP	23.40%	÷0.980	×0.680	×0.971	×1.022	16.13%
Doubles /BIP	4.26%	÷1.015	×0.600	×0.971	×1.022	2.50%
Triples /BIP	0.00%	÷0.900	×0.600	×0.971	×1.022	0.00%
Home runs /BIP	0.00%	÷0.989	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 96, 2B 103, 3B 80, K 100, BB 105 — 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 ×0.971.

Result: wOBA .262 → .179; ISO .029 → .017; BABIP .271 → .182. 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
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	pk7: 7
#4Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.2	2,117	52	34	218	297	350	+38	+28	5.7	5.2
/162	664	16	11	+11.9	+8.8	1.8	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

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 Cauro (OGILVIE)	22	31→36	42→47	46→51	60	210/293/334	123	274	4	3	27%	9%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Miguel Amaya 2021 · A	22	43	46→50	48→40	47	217/290/349	133	270	14	4	25%	8%	82	-0.0	222/315/352	130	303	13	6	29%	9%	92	+0.7	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	209/300/336	128	267	12	11	25%	10%	82	+0.0	201/292/339	138	285	13	8	31%	10%	80	-0.1	178/280/321	143	246	16	6	32%	11%	70	-0.6
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Eddys Leonard 2023 · A	22	45→47	48→50	45→50	42	226/295/372	146	296	15	5	28%	6%	89	+0.5	222/280/363	141	284	16	8	27%	6%	81	-0.1	215/271/359	144	269	17	9	26%	5%	74	-0.4
✕Jake Rogers 2018 · A	23	41→40	44→60	47→45	42	205/269/329	123	282	11	10	30%	7%	69	-0.9	200/273/347	147	275	17	7	32%	8%	75	-0.5	210/288/419	208	272	29	1	33%	8%	97	+0.6
✕Tucker Mitchell 2024 · A	23	43	47→50	50→45	40	210/286/337	127	310	15	9	35%	7%	78	-0.3	198/250/292	94	278	10	7	31%	5%	53	-2.1	162/205/229	67	228	8	5	32%	4%	18	-1.7
✕Christian Cerda 2024 · A	21	41→40	43→45	48→40	57	200/308/313	113	265	11	4	27%	13%	81	-0.1	199/288/303	104	259	11	4	26%	11%	71	-0.8	188/274/285	97	238	11	2	25%	10%	60	-0.9
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	215/294/352	137	286	15	4	29%	9%	84	+0.1	204/288/337	133	276	16	3	30%	10%	78	-0.3	186/275/307	121	251	15	0	30%	10%	65	-0.7
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Tyler Ogle 2013 · A	22	46→43	49→50	45→30	44	233/294/379	146	292	17	5	26%	7%	90	+0.6	219/305/352	133	265	15	3	22%	10%	88	+0.4	209/298/348	138	250	17	2	23%	10%	81	-0.0
✕Adam Zebrowski 2023 · A	22	41→33	44→50	50→40	48	201/285/321	120	282	12	5	31%	10%	74	-0.6	185/246/302	117	279	14	3	37%	7%	54	-2.0	186/237/319	133	265	18	2	36%	5%	52	-1.3
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Freuddy Batista 2022 · A	22	38	50	46→40	41	202/264/358	156	275	19	7	33%	7%	74	-0.5	203/263/329	126	302	12	6	35%	6%	67	-1.1	206/259/338	132	266	17	4	29%	4%	64	-0.6
✕Alex Isola 2021 · A	23	46→44	45→50	49→40	44	228/280/350	122	288	12	8	25%	6%	77	-0.3	216/283/360	144	273	19	4	27%	8%	82	-0.0	212/283/353	141	263	19	2	26%	8%	77	-0.2
✕Marcus Greene Jr. 2016 · A	21	42	47→50	53→40	46	206/290/344	138	303	13	8	34%	10%	80	-0.1	197/258/319	122	274	14	4	32%	7%	63	-1.4	188/246/296	108	254	13	1	31%	6%	51	-0.9
✕Andrew Susac 2013 · A	23	42→39	43→50	45→30	45	206/281/318	112	290	11	4	31%	9%	71	-0.8	222/298/364	142	296	16	3	29%	9%	88	+0.4	223/303/379	156	290	18	1	28%	9%	91	+0.3

Carlos Cauro

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps