Almen Tolentino

C FCL Marlins

Age 20 L/R 6'1" / 160 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#520ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Miami	69	.080/.333/.120	0	13	3	—	.036/.232/.055
2025	18	ROKMIA	204	.301/.455/.532	6	20	68	—	.180/.315/.275
2026	19	ROKMIA	132	.176/.326/.259	1	8	8	—	.111/.212/.162
2027PROJMLE	20	MLBMIA	242	.202/.285/.297	3	6	67	0.1
2028PROJ34% MLB	21	MLBMIA	42	.201/.284/.301	1	1	73	0.1
2029PROJ48% MLB	22	MLBMIA	103	.205/.289/.316	2	3	78	0.2

Next 3 projected WAR 0.3Projected 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

Speed80

BB%64

Chase%46

ISO32

Whiff%30

K%18

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

CompsHoy Park (age 21) · Termarr Johnson (age 19) · Victor Arias (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 68 proj PA

wRC+†67

AVG/OBP/SLG.200 / .282 / .294

PA68

HR1

K%30

BB%9

ISO95

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$27M ctrl surplus

Tools · ContractCON 50 / POW 50

Toolsscout grade

CONTACT50

scouting grade only

POWER50

scouting grade only

EYE60

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	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$6M	+$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)
2024	17	ROK	DSL Miami	—	69	50	4	2	0	0	19	21	0	13	2	80	333	120	453	40	138	30	28	256	3	—	—	—	—	—	—
2025	18	ROK	DSL Marlins	—	204	156	47	10	4	6	34	34	10	20	11	301	455	532	987	231	342	17	17	428	68	—	—	—	—	—	—
2026	19	ROK	FCL Marlins	—	132	108	19	2	2	1	23	39	1	8	3	176	326	259	585	83	265	30	17	283	8	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Miami	—	69	55	2	1	0	0	14	25	0	13	2	36	232	55	286	18	81	36	20	173	3	—	—	—	—	—	—
2025	18	ROK MLE	DSL Marlins	—	204	167	30	6	2	2	23	43	10	20	11	180	315	275	590	96	209	21	11	268	68	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	132	117	13	1	1	1	14	56	1	8	3	111	212	162	375	51	204	42	11	180	8	—	—	—	—	—	—
2024	17	ROK MLE	DSL Miami	—	69	55	2	1	0	0	14	25	0	13	2	36	232	55	286	18	67	36	20	173	3	—	—	—	—	—	—
2024	17	ROK RAW	DSL Miami	—	69	50	4	2	0	0	19	21	0	13	2	80	333	120	453	40	138	30	28	256	3	—	—	—	—	—	—
2025	18	ROK MLE	DSL Marlins	—	204	167	30	6	2	2	23	43	10	20	11	180	315	275	590	96	222	21	11	268	68	—	—	—	—	—	—
2025	18	ROK RAW	DSL Marlins	—	204	156	47	10	4	6	34	34	10	20	11	301	455	532	987	231	342	17	17	428	68	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	132	117	13	1	1	1	14	56	1	8	3	111	212	162	375	51	200	42	11	180	8	—	—	—	—	—	—
2026	19	ROK RAW	FCL Marlins	—	132	108	19	2	2	1	23	39	1	8	3	176	326	259	585	83	265	30	17	283	8	—	—	—	—	—	—
2024	17	ROK MLE	DSL Miami	—	69	55	2	1	0	0	14	25	0	13	2	36	232	55	286	18	81	36	20	173	3	—	—	—	—	—	—
2025	18	ROK MLE	DSL Marlins	—	204	169	30	6	2	2	23	43	10	20	11	178	315	272	587	95	209	21	11	268	68	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	132	116	13	1	1	1	14	56	1	8	3	112	212	164	376	52	204	42	11	180	8	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Miami	—	69	55	2	1	0	0	14	25	0	13	2	36	232	55	286	18	81	36	20	173	3	—	—	—	—	—	—
2025	18	ROK MLE	DSL Marlins	—	204	169	30	6	2	2	23	43	10	20	11	178	315	272	587	95	209	21	11	268	68	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	132	116	13	1	1	1	14	56	1	8	3	112	212	164	376	52	204	42	11	180	8	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIA	0%	242	215	44	8	2	3	22	72	3	6	1	202	285	297	581	95	284	30	9	267	67	-10	+1	+0	+4	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIA	34%	122	108	23	4	1	2	11	35	2	3	1	208	290	315	606	108	286	29	9	276	73	-4	+0	+0	+2	+3	0.1
2029	22	MLB MLE	MIA	48%	212	188	40	7	2	4	19	61	3	5	1	212	295	330	625	118	287	29	9	284	78	-6	+1	+0	+4	+5	0.4
2030	23	MLB MLE	MIA	54%	307	272	59	10	3	6	28	86	4	8	2	216	298	342	640	125	289	28	9	289	82	-7	+1	+0	+5	+7	0.7
2031	24	MLB MLE	MIA	55%	380	337	75	13	3	9	35	106	5	9	2	220	301	351	653	132	290	28	9	294	85	-7	+1	+0	+7	+8	1.0
2032	25	MLB MLE	MIA	56%	421	375	82	14	3	10	38	116	5	10	2	222	303	358	661	136	290	28	9	298	88	-6	+1	+0	+8	+9	1.2
2033	26	MLB MLE	MIA	56%	444	396	87	15	3	11	40	122	5	11	2	222	303	361	664	138	290	27	9	299	88	-6	+1	+0	+8	+10	1.3
2034	27	MLB MLE	MIA	55%	445	396	87	15	3	11	41	123	5	11	2	221	302	358	660	137	289	28	9	297	87	-7	+1	+0	+8	+10	1.2
2035	28	MLB MLE	MIA	55%	445	396	86	15	3	10	41	124	5	10	2	219	300	353	654	134	288	28	9	294	85	-8	+1	-1	+8	+10	1.1
2036	29	MLB MLE	MIA	53%	445	397	86	15	3	10	40	125	5	9	2	217	297	347	644	130	287	28	9	291	83	-9	+1	-1	+8	+10	0.8
2037	30	MLB MLE	MIA	53%	435	388	82	14	3	9	39	124	5	8	2	214	294	339	633	125	284	29	9	286	80	-11	+1	-2	+8	+9	0.5
2038	31	MLB MLE	MIA	57%	399	357	74	12	3	8	35	115	4	7	2	209	289	329	618	119	281	29	9	280	76	-12	+1	-3	+7	+9	0.2
2039	32	MLB MLE	MIA	59%	362	323	66	11	2	7	32	106	4	5	3	204	283	316	599	112	277	29	9	272	70	-13	-0	-4	+6	+8	-0.2
2028	21	MLB CTX	MIA	34%	42	37	7	1	0	1	4	12	1	1	0	201	284	301	586	101	277	29	10	268	73	-1	+0	+0	+1	+1	0.1
2029	22	MLB CTX	MIA	48%	103	92	19	3	1	2	9	29	1	3	1	205	289	316	604	110	278	28	9	275	78	-3	+0	+0	+2	+2	0.2
2030	23	MLB CTX	MIA	54%	166	148	30	5	1	3	15	47	2	4	1	209	292	327	619	118	279	28	9	281	82	-4	+0	+0	+3	+4	0.3
2031	24	MLB CTX	MIA	55%	211	187	39	6	2	4	19	59	3	5	1	212	295	336	631	123	280	28	9	286	85	-4	+1	+0	+4	+5	0.5
2032	25	MLB CTX	MIA	56%	236	210	45	7	2	5	21	65	3	6	1	215	297	342	639	128	281	28	9	289	88	-4	+1	+0	+4	+5	0.7
2033	26	MLB CTX	MIA	56%	250	222	48	8	2	6	23	69	3	6	1	215	297	345	642	130	280	28	9	290	88	-3	+1	+0	+4	+5	0.7
2034	27	MLB CTX	MIA	55%	246	219	48	8	2	6	22	68	3	6	1	214	296	342	638	128	280	28	9	288	87	-4	+1	+0	+4	+5	0.7
2035	28	MLB CTX	MIA	55%	244	217	45	7	2	5	22	68	3	5	1	212	294	338	631	126	279	28	9	286	85	-4	+1	-0	+4	+5	0.6
2036	29	MLB CTX	MIA	53%	238	211	44	7	2	5	22	67	3	5	1	210	291	332	623	122	277	28	9	282	83	-5	+1	-1	+4	+5	0.4
2037	30	MLB CTX	MIA	53%	229	203	42	7	1	5	21	65	3	4	1	207	288	324	611	117	275	28	9	278	80	-6	+0	-1	+4	+5	0.3
2038	31	MLB CTX	MIA	57%	225	201	39	6	1	4	20	65	2	4	1	203	283	315	597	112	272	29	9	272	76	-7	+0	-2	+4	+5	0.1
2039	32	MLB CTX	MIA	59%	214	191	38	6	1	4	19	63	2	3	2	198	277	303	580	105	268	29	9	265	70	-8	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2404	2138	444	71	17	50	217	677	29	52	12	208	289	327	616	119	277	28	9	281	78	-51	+6	-6	+43	+52	4.5
/ 162G	—	A+C		—	650	578	121	19	5	14	59	183	8	14	3	209	291	332	624	123	279	28	9	281	78	-14	+2	-2	+12	+14	1.2
Career	—	MLE		—	4890	4333	905	155	36	101	456	1387	64	139	39	209	294	331	625	122	280	28	9	284	78	-96	+10	-10	+80	+97	8.3
/ 162G	—	MLE		—	650	576	120	21	5	13	61	184	9	18	5	208	294	330	624	122	280	28	9	284	78	-14	+2	-2	+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 ROKFCL Marlins · 132 PAwOBA .274 → .180 (−93)K% 29.5% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.55%	÷1.000	×1.440	—	—	42.55%
BB% (unintentional) /PA	16.67%	÷1.000	×0.620	—	×1.008	10.41%
HBP% /PA	0.76%	—	×0.720	—	×1.008	0.55%
Singles /BIP	20.29%	÷1.000	×0.820	×0.964	×1.008	16.16%
Doubles /BIP	2.90%	÷1.000	×0.720	×0.964	×1.008	2.03%
Triples /BIP	2.90%	÷1.000	×0.720	×0.964	×1.008	2.03%
Home runs /BIP	1.45%	÷1.000	×0.780	—	×1.008	1.14%

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 ×0.964.

Result: wOBA .274 → .180; ISO .083 → .054; BABIP .265 → .204. 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 Marlins · 204 PAwOBA .426 → .268 (−158)K% 16.7% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.973	×1.220	—	—	20.91%
BB% (unintentional) /PA	16.67%	÷1.029	×0.700	—	×1.008	11.43%
HBP% /PA	4.90%	—	×0.700	—	×1.008	3.46%
Singles /BIP	22.13%	÷0.955	×0.680	×0.950	×1.008	15.09%
Doubles /BIP	8.20%	÷1.073	×0.600	×0.950	×1.008	4.39%
Triples /BIP	3.28%	÷1.097	×0.600	×0.950	×1.008	1.72%
Home runs /BIP	4.92%	÷1.383	×0.470	—	×1.008	1.68%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 177, 1B 91, 2B 115, 3B 119, K 95, BB 106 — 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 .426 → .268; ISO .231 → .108; BABIP .342 → .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 Miami · 69 PAwOBA .252 → .173 (−78)K% 30.4% → 36.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷1.016	×1.220	—	—	36.54%
BB% (unintentional) /PA	27.54%	÷0.996	×0.700	—	×1.022	19.79%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	6.90%	÷1.002	×0.680	—	×1.022	4.79%
Doubles /BIP	6.90%	÷1.263	×0.600	—	×1.022	3.35%
Triples /BIP	0.00%	÷1.100	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷1.836	×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 267, 1B 100, 2B 153, 3B 120, K 103, BB 99 — 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).

Result: wOBA .252 → .173; ISO .040 → .020; BABIP .138 → .081. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3Jacob 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
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	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	3.7	2,472	54	54	217	294	345	+44	+28	6.5	5.8
/162	664	15	15	+11.9	+7.5	1.7	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
Almen Tolentino (OGILVIE)	20	50	50	60	60	200/282/294	94	284	1	2	30%	9%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2017 · A	21	41→51	39→45	59→55	46	195/272/287	91	280	4	17	30%	9%	60	-1.6	220/296/307	87	294	6	17	25%	9%	74	-0.6	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Termarr Johnson 2023 · A	19	46→53	41→45	52→55	47	212/293/316	104	323	7	14	34%	10%	75	-0.5	217/315/345	128	302	15	12	30%	12%	91	+0.6	218/312/337	119	292	14	14	28%	11%	85	+0.2
✕Victor Arias 2024 · A	20	41→50	40→45	55→50	48	193/289/289	97	300	7	16	35%	11%	68	-1.0	227/296/340	113	318	9	15	29%	8%	81	-0.1	226/289/343	117	310	10	15	29%	7%	76	-0.3
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Enmanuel Terrero 2024 · A	21	49	41→45	51→55	48	228/305/328	100	320	8	16	29%	10%	82	-0.0	198/259/296	98	322	10	15	39%	7%	57	-1.8	148/206/227	79	248	11	17	43%	6%	20	-1.2
✕Rio Ruiz 2014 · A	20	45→54	44→50	50→40	45	221/278/350	129	289	10	8	27%	7%	76	-0.4	241/308/352	111	311	9	4	23%	9%	88	+0.4	246/316/351	105	316	8	2	23%	9%	88	+0.4
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Forrest Wall 2016 · A	20	48→55	42→45	58→70	46	229/285/342	114	291	8	18	24%	7%	77	-0.3	223/277/319	96	299	8	18	26%	6%	69	-0.9	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Marcelo Mayer 2022 · A	19	46→47	42→50	53→50	42	215/279/322	107	328	10	12	35%	8%	71	-0.8	225/292/370	145	321	15	12	32%	8%	86	+0.3	229/294/381	151	313	16	14	30%	8%	88	+0.3
✕Masyn Winn 2022 · A	20	43→53	40→50	57→55	43	207/267/301	93	294	6	22	30%	7%	61	-1.5	237/294/369	132	297	12	21	23%	7%	86	+0.3	245/302/388	143	293	14	19	20%	7%	93	+0.8
✕Akil Baddoo 2019 · A	20	43→53	43→50	56→55	47	207/283/329	122	293	8	13	30%	9%	74	-0.6	215/284/346	131	317	11	16	33%	9%	78	-0.3	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Cayden Wallace 2023 · A	21	46→49	42→50	57→50	43	224/279/341	116	300	8	15	27%	6%	74	-0.5	220/277/337	117	289	10	12	26%	6%	73	-0.6	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Nacho Alvarez Jr. 2023 · A	20	51→54	39→40	55→50	58	237/332/330	93	293	6	14	20%	12%	93	+0.8	243/319/335	92	311	8	14	23%	8%	88	+0.5	244/321/332	88	312	8	14	22%	8%	87	+0.2
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Victor Mesa Jr. 2022 · A	20	45→46	40→55	52→50	40	217/262/316	100	295	6	9	28%	6%	62	-1.4	216/267/327	111	285	10	9	27%	6%	67	-1.1	238/297/408	169	279	21	11	23%	7%	95	+0.5

Almen Tolentino

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps