Pablo Arosemena

C DSL CLE Mendoza

Age 21 R/R 5'8" / 154 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1294ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL CLE Goryl	103	.228/.408/.354	1	3	39	—	.129/.282/.188
2025	19	ROKDSL CLE Mendo…	92	.208/.380/.236	0	2	23	—	.118/.272/.132
2026	20	ROKDSL CLE Mendo…	41	.286/.487/.464	1	0	87	—	.194/.359/.323
2027PROJMLE	21	MLBPIT	151	.200/.286/.276	1	2	63	0.0
2028PROJ34% MLB	22	MLBPIT	29	.205/.290/.291	0	0	68	0.0
2029PROJ48% MLB	23	MLBPIT	79	.209/.294/.304	1	1	72	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%96

wOBA87

K%82

wRC+80

ISO77

Chase%75

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

CompsEmilio King (age 21) · Franklin Hernandez (age 21) · Yeison Asencio (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 32 proj PA

wRC+†63

AVG/OBP/SLG.198 / .284 / .274

PA32

HR0

K%29

BB%9

ISO76

MLB%0%

Value2027 · WAR

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

Tools · Contract

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	+0.1	$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		$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. 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)
2023	17	ROK	DSL Guardians Red	—	113	90	16	3	1	0	17	15	4	1	0	178	333	233	567	56	208	13	15	275	13	—	—	—	—	—	—
2024	18	ROK	DSL CLE Goryl	—	103	79	18	5	1	1	19	22	5	3	2	228	408	354	762	127	304	21	18	359	39	—	—	—	—	—	—
2025	19	ROK	DSL CLE Mendoza	—	92	72	15	2	0	0	15	26	5	2	0	208	380	236	617	28	326	28	16	309	23	—	—	—	—	—	—
2026	20	ROK	DSL CLE Mendoza	—	41	28	8	2	0	1	11	6	0	0	0	286	487	464	951	179	304	15	27	411	87	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Guardians Red	—	113	95	11	2	1	0	12	19	4	1	0	116	243	158	401	42	131	17	11	188	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Goryl	—	103	85	11	3	1	0	13	29	5	3	2	129	282	188	470	59	188	28	13	226	39	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Mendoza	—	92	76	9	1	0	0	11	32	5	2	0	118	272	132	403	13	207	35	12	202	23	—	—	—	—	—	—
2026	20	ROK MLE	DSL CLE Mendoza	—	41	31	6	1	0	1	8	7	0	0	0	194	359	323	682	129	195	17	20	297	87	—	—	—	—	—	—
2023	17	ROK MLE	DSL Guardians Red	—	113	95	11	2	1	0	12	19	4	1	0	116	243	158	401	42	141	17	11	188	13	—	—	—	—	—	—
2023	17	ROK RAW	DSL Guardians Red	—	113	90	16	3	1	0	17	15	4	1	0	178	333	233	567	56	208	13	15	275	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Goryl	—	103	85	11	3	1	0	13	29	5	3	2	129	282	188	470	59	196	28	13	226	39	—	—	—	—	—	—
2024	18	ROK RAW	DSL CLE Goryl	—	103	79	18	5	1	1	19	22	5	3	2	228	408	354	762	127	304	21	18	359	39	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Mendoza	—	92	76	9	1	0	0	11	32	5	2	0	118	272	132	403	13	205	35	12	202	23	—	—	—	—	—	—
2025	19	ROK RAW	DSL CLE Mendoza	—	92	72	15	2	0	0	15	26	5	2	0	208	380	236	617	28	326	28	16	309	23	—	—	—	—	—	—
2026	20	ROK MLE	DSL CLE Mendoza	—	41	31	6	1	0	1	8	7	0	0	0	194	359	323	682	129	200	17	20	297	87	—	—	—	—	—	—
2026	20	ROK RAW	DSL CLE Mendoza	—	41	28	8	2	0	1	11	6	0	0	0	286	487	464	951	179	304	15	27	411	87	—	—	—	—	—	—
2023	17	ROK MLE	DSL Guardians Red	—	113	96	11	2	1	0	12	19	4	1	0	115	243	156	399	42	131	17	11	188	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Goryl	—	103	84	11	3	1	0	13	29	5	3	2	131	282	190	472	60	188	28	13	226	39	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Mendoza	—	92	76	9	1	0	0	11	32	5	2	0	118	272	132	403	13	207	35	12	202	23	—	—	—	—	—	—
2026	20	ROK MLE	DSL CLE Mendoza	—	41	33	6	1	0	1	8	7	0	0	0	182	359	303	662	121	195	17	20	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL CLE Goryl	—	103	84	11	3	1	0	13	29	5	3	2	131	282	190	472	60	188	28	13	226	39	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Mendoza	—	92	76	9	1	0	0	11	32	5	2	0	118	272	132	403	13	207	35	12	202	23	—	—	—	—	—	—
2026	20	ROK MLE	DSL CLE Mendoza	—	41	33	6	1	0	1	8	7	0	0	0	182	359	303	662	121	195	17	20	297	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	PIT	0%	151	133	27	5	1	1	14	44	3	2	1	200	286	276	563	76	286	29	9	261	63	-7	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	PIT	34%	84	75	16	3	1	1	8	24	1	1	0	205	291	292	583	87	287	29	10	269	68	-3	+0	+0	+1	+2	0.0
2029	23	MLB MLE	PIT	48%	164	145	30	5	1	2	15	46	3	2	1	209	294	306	600	96	288	28	9	275	72	-5	+0	+0	+3	+4	0.1
2030	24	MLB MLE	PIT	53%	246	218	47	8	2	4	22	69	4	3	1	213	297	317	614	104	290	28	9	281	76	-7	+0	+0	+4	+5	0.3
2031	25	MLB MLE	PIT	55%	314	278	60	11	2	5	28	87	5	4	1	216	299	326	626	110	290	28	9	285	79	-8	+0	+0	+6	+7	0.5
2032	26	MLB MLE	PIT	56%	358	318	69	12	2	7	32	98	5	4	1	218	301	334	634	116	290	27	9	288	81	-8	+0	+0	+6	+8	0.7
2033	27	MLB MLE	PIT	55%	379	336	73	13	2	7	34	104	6	4	1	217	300	331	631	114	289	27	9	287	80	-9	+0	+0	+7	+8	0.7
2034	28	MLB MLE	PIT	55%	386	342	73	13	2	7	35	107	6	3	1	215	298	326	624	111	288	28	9	284	78	-10	+0	-1	+7	+8	0.5
2035	29	MLB MLE	PIT	53%	382	339	72	13	2	6	34	107	6	2	1	212	295	320	614	107	287	28	9	280	76	-11	+0	-1	+7	+8	0.3
2036	30	MLB MLE	PIT	53%	375	334	70	12	2	6	33	106	5	0	1	209	291	312	603	102	284	28	9	275	73	-12	-0	-2	+7	+8	0.0
2028	22	MLB CTX	PIT	34%	29	26	5	1	0	0	3	8	0	0	0	205	290	291	581	86	288	28	10	268	68	-1	+0	+0	+1	+1	0.0
2029	23	MLB CTX	PIT	48%	79	71	15	3	1	1	7	22	1	1	0	209	294	304	597	94	289	28	9	274	72	-3	+0	+0	+1	+2	0.1
2030	24	MLB CTX	PIT	53%	130	115	25	5	1	2	12	36	2	2	0	213	297	314	611	102	290	28	9	279	76	-4	+0	+0	+2	+3	0.2
2031	25	MLB CTX	PIT	55%	172	152	33	6	1	3	15	48	3	2	1	215	299	323	622	108	291	28	9	283	79	-4	+0	+0	+3	+4	0.3
2032	26	MLB CTX	PIT	56%	199	176	38	7	1	3	18	54	3	2	1	217	300	330	630	113	290	27	9	286	81	-4	+0	+0	+4	+4	0.3
2033	27	MLB CTX	PIT	55%	208	184	40	7	1	4	19	57	3	2	1	216	299	327	626	111	290	27	9	285	80	-5	+0	+0	+4	+5	0.3
2034	28	MLB CTX	PIT	55%	211	187	39	7	1	3	19	59	3	2	1	214	297	322	620	108	289	28	9	282	78	-5	+0	-0	+4	+5	0.3
2035	29	MLB CTX	PIT	53%	204	181	38	7	1	3	18	57	3	1	1	212	294	316	611	104	287	28	9	279	76	-6	-0	-1	+4	+4	0.1
2036	30	MLB CTX	PIT	53%	197	175	37	7	1	3	17	56	3	0	0	209	291	309	599	100	285	28	9	274	73	-6	+0	-1	+4	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1429	1267	270	50	8	22	128	397	21	12	5	213	296	317	613	104	290	28	9	281	72	-39	+0	-2	+26	+31	1.6
/ 162G	—	A+C		—	650	576	123	23	4	10	58	181	10	5	2	214	297	319	616	106	291	28	9	281	72	-18	+0	-1	+12	+14	0.7
Career	—	MLE		—	3069	2700	552	98	18	46	288	844	56	29	10	204	294	305	600	101	277	28	9	274	72	-75	+1	-4	+49	+59	3.0
/ 162G	—	MLE		—	650	572	118	21	4	10	61	179	12	6	2	206	296	309	606	103	279	28	9	274	72	-18	+0	-1	+12	+14	0.7

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 CLE Mendoza · 41 PAwOBA .423 → .297 (−126)K% 14.6% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.63%	÷1.000	×1.220	—	—	17.85%
BB% (unintentional) /PA	26.83%	÷1.000	×0.700	—	×0.985	18.50%
HBP% /PA	0.00%	—	×0.700	—	×0.985	0.00%
Singles /BIP	22.73%	÷1.000	×0.680	—	×0.985	15.22%
Doubles /BIP	9.09%	÷1.000	×0.600	—	×0.985	5.37%
Triples /BIP	0.00%	÷1.000	×0.600	—	×0.985	0.00%
Home runs /BIP	4.55%	÷1.000	×0.470	—	×0.985	2.10%

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).

Result: wOBA .423 → .297; ISO .179 → .109; BABIP .304 → .195. 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 · 92 PAwOBA .303 → .202 (−101)K% 28.3% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.26%	÷0.981	×1.220	—	—	35.14%
BB% (unintentional) /PA	16.30%	÷0.977	×0.700	—	×0.995	11.62%
HBP% /PA	5.43%	—	×0.700	—	×0.995	3.79%
Singles /BIP	28.26%	÷1.003	×0.680	×0.950	×0.995	18.11%
Doubles /BIP	4.35%	÷0.970	×0.600	×0.950	×0.995	2.54%
Triples /BIP	0.00%	÷0.991	×0.600	×0.950	×0.995	0.00%
Home runs /BIP	0.00%	÷0.940	×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 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 .303 → .202; ISO .028 → .016; BABIP .326 → .207. 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 Goryl · 103 PAwOBA .351 → .226 (−126)K% 21.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.36%	÷0.930	×1.220	—	—	28.02%
BB% (unintentional) /PA	18.45%	÷1.016	×0.700	—	×1.008	12.81%
HBP% /PA	4.85%	—	×0.700	—	×1.008	3.42%
Singles /BIP	19.30%	÷0.994	×0.680	×0.951	×1.008	12.64%
Doubles /BIP	8.77%	÷0.995	×0.600	×0.951	×1.008	5.07%
Triples /BIP	1.75%	÷1.038	×0.600	×0.951	×1.008	0.97%
Home runs /BIP	1.75%	÷1.366	×0.470	—	×1.008	0.61%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 173, 1B 99, 2B 99, 3B 108, K 86, BB 103 — 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 ×0.951.

Result: wOBA .351 → .226; ISO .127 → .064; BABIP .304 → .188. 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 Guardians Red · 113 PAwOBA .275 → .188 (−86)K% 13.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷0.984	×1.220	—	—	16.46%
BB% (unintentional) /PA	15.04%	÷1.015	×0.700	—	×1.022	10.61%
HBP% /PA	3.54%	—	×0.700	—	×1.022	2.53%
Singles /BIP	16.00%	÷1.060	×0.680	×0.965	×1.022	10.13%
Doubles /BIP	4.00%	÷0.987	×0.600	×0.965	×1.022	2.40%
Triples /BIP	1.33%	÷0.900	×0.600	×0.965	×1.022	0.88%
Home runs /BIP	0.00%	÷2.400	×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 380, 1B 112, 2B 97, 3B 80, K 97, BB 103 — 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 ×0.965.

Result: wOBA .275 → .188; ISO .056 → .037; BABIP .208 → .131. 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
#1Curt 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
#2Sandy 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
#3Ben 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
#4Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.2	1,461	24	12	215	294	323	+26	+24	2.7	2.7
/162	664	11	6	+11.9	+10.9	1.2	pk7: 3
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	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
Pablo Arosemena (OGILVIE)	21	—	—	—	—	198/284/274	75	286	0	0	29%	9%	63	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Emilio King 2011 · A	21	37	36→45	45→40	37	175/242/244	69	268	3	6	34%	5%	40	-3.1	213/255/306	93	315	7	4	33%	4%	57	-1.8	250/279/366	116	337	11	3	28%	2%	76	-0.3
✕Franklin Hernandez 2008 · A	21	39→36	36→45	47→40	38	186/238/255	69	277	4	6	33%	5%	39	-3.1	194/233/283	89	290	6	4	33%	4%	44	-2.8	183/219/273	90	269	6	2	33%	3%	33	-1.7
✕Yeison Asencio 2011 · A	21	37→47	38→45	49→45	47	179/244/262	83	217	5	11	20%	7%	44	-2.8	239/271/351	112	275	8	8	16%	4%	73	-0.6	270/292/382	111	295	11	6	13%	2%	86	+0.3
✕Brian Sanchez 2016 · A	20	35	39→50	47→45	37	173/232/259	86	255	6	7	33%	5%	39	-3.1	185/246/289	104	268	10	4	33%	6%	51	-2.2	177/247/294	117	245	12	0	32%	7%	52	-0.7
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	172/232/256	83	269	8	6	37%	6%	38	-3.2	199/254/295	96	301	9	6	35%	6%	55	-2.0	232/277/343	111	292	10	4	23%	5%	73	-0.4
✕Albert Laboy 2007 · A	20	40→38	38→40	48→45	41	193/236/269	76	242	5	10	22%	5%	42	-2.9	218/264/308	90	260	9	7	19%	5%	61	-1.5	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Luis Barrera 2016 · A	20	40→50	36→45	50	43	190/245/252	62	259	3	6	27%	6%	41	-3.0	220/260/308	88	302	5	11	27%	5%	59	-1.7	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Joey Armstrong 2016 · A	22	38	37→40	44→45	43	187/245/256	69	259	5	5	29%	7%	42	-2.9	207/272/286	79	305	4	7	31%	7%	60	-1.6	206/279/285	79	309	4	8	32%	7%	58	-0.8
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	42	177/241/251	73	261	4	13	32%	7%	40	-3.1	211/262/329	118	307	9	6	32%	7%	65	-1.2	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Jhon Goncalves 2010 · A	21	38→48	37→40	48→50	40	186/244/253	67	273	5	12	32%	6%	41	-3.0	200/271/259	59	302	3	9	32%	8%	53	-2.1	202/274/273	71	279	2	12	26%	8%	56	-1.4
✕Michael A. Taylor 2011 · A	20	38→48	37→55	46→60	41	184/241/261	77	259	4	5	29%	6%	42	-2.9	198/247/308	110	295	8	17	34%	5%	55	-1.9	240/297/382	142	309	19	14	28%	7%	92	+0.6
✕Michael Beltre 2016 · A	21	40→50	35→45	50→60	39	185/254/245	60	288	3	12	34%	7%	44	-2.8	212/276/297	85	297	4	12	28%	7%	63	-1.3	224/296/341	118	306	9	22	28%	9%	78	-0.2
✕Derrick Loveless 2014 · A	21	37→47	38→45	53→50	42	176/244/264	87	271	4	5	35%	8%	44	-2.8	203/276/304	101	312	8	9	34%	9%	65	-1.2	192/275/292	101	297	8	8	35%	10%	61	-1.0
✕Nomar Fana 2023 · A	20	37	37→50	46→50	44	178/248/255	77	269	4	11	33%	8%	44	-2.8	184/260/286	102	287	10	12	36%	9%	56	-1.9	158/244/261	103	248	13	14	39%	10%	43	-1.0
✕Rigoberto Rangel 2011 · A	22	38	36→40	48→40	41	181/244/244	63	255	3	6	29%	6%	40	-3.1	193/254/262	69	291	4	8	33%	6%	47	-2.5	152/224/198	45	225	3	10	31%	7%	19	-1.0
✕Eudy Pina 2013 · A	22	39→47	37→45	49→55	36	187/239/258	71	273	4	11	32%	4%	40	-3.0	209/266/324	115	297	9	10	31%	6%	66	-1.1	217/270/333	115	305	8	11	30%	5%	67	-0.8
✕Felix Reyes 2023 · A	22	36→46	42→50	46→45	35	185/229/286	101	263	10	8	34%	4%	43	-2.8	221/256/343	122	261	14	7	21%	4%	66	-1.1	241/269/392	150	282	18	8	21%	3%	81	-0.0
✕Orlando Sandoval 2007 · A	21	37	38→40	46→50	36	181/230/261	81	267	5	9	33%	5%	38	-3.2	199/233/277	78	317	5	8	37%	3%	42	-2.9	209/253/309	99	321	7	9	35%	3%	54	-1.0
✕Carlos De La Cruz 2022 · A	22	36→45	40→50	47→45	32	167/229/255	88	319	9	7	48%	6%	37	-3.3	213/269/350	137	326	16	6	38%	6%	74	-0.6	214/270/349	135	321	16	5	37%	5%	71	-0.6
✕Alfredo Silverio 2007 · A	20	38→48	40→55	49→50	42	188/237/282	93	235	6	7	23%	5%	45	-2.7	221/250/330	109	284	10	6	25%	3%	61	-1.5	240/264/400	160	290	14	8	22%	3%	81	-0.1

Pablo Arosemena

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps