Jeremy Almonte

C Jupiter Hammerheads

Age 21 R/R 6'0" / 170 lbs A HR -10%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#613ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKMIA	134	.336/.447/.436	1	1	72	—	.237/.341/.316
2025	19	ROKMIA	96	.279/.340/.360	2	4	44	—	.216/.266/.295
2026	20	A/ROKMIA	167	.297/.382/.400	3	2	82	—	.261/.333/.335
2027PROJMLE	21	MLBMIA	277	.223/.284/.328	5	4	73	0.1
2028PROJ34% MLB	22	MLBMIA	52	.220/.282/.324	1	1	77	0.1
2029PROJ48% MLB	23	MLBMIA	113	.222/.285/.331	2	2	80	0.2

Next 3 projected WAR 0.4Projected 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

K%77

Max EV76

Whiff%52

Z-Con%50

Speed35

BB%30

Career WAR0.0 WAR median (P10 -0.2 / P90 4.0, comp-based) · star 1% · didn't stick 89%

CompsJuan Uriarte (age 21) · Jeferson Quero (age 20) · Ricardo Olivar (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 97 proj PA

wRC+†73

AVG/OBP/SLG.221 / .281 / .325

PA97

HR2

K%25

BB%6

ISO104

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 51 / POW 44

Toolsscout grade

CONTACT51

scouting grade only

POWER44

scouting grade only

EYE45

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
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	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$0.6M	—	—	—
Totals		$3M		$4M	+$2M

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 Miami	—	84	75	17	2	0	1	6	10	2	0	1	227	301	293	595	67	246	12	7	274	12	—	—	—	—	—	—
2024	18	ROK	DSL Marlins	—	134	110	37	6	1	1	13	14	9	1	0	336	447	436	883	100	371	10	10	398	72	—	—	—	—	—	—
2025	19	ROK	FCL Marlins	—	96	86	24	1	0	2	4	14	4	4	3	279	340	360	701	81	306	15	4	314	44	—	—	—	—	—	—
2026	20	A	Jupiter Hammerheads	—	148	129	41	5	0	3	15	28	3	1	0	318	401	426	828	109	388	19	10	373	95	—	—	—	—	—	—
2026	20	ROK	FCL Marlins	—	19	16	2	1	0	0	1	2	1	1	0	125	222	188	410	62	133	11	5	191	-16	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Miami	—	84	77	12	1	0	1	4	12	2	0	1	156	217	208	425	52	173	14	5	186	12	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	134	114	27	4	1	1	9	17	9	1	0	237	341	316	657	79	248	13	7	274	72	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	96	88	19	1	0	2	2	20	4	4	3	216	266	295	561	80	236	21	2	233	44	—	—	—	—	—	—
2026	20	A MLE	Jupiter Hammerheads	—	148	133	37	4	0	2	11	38	3	1	0	278	347	353	700	75	367	26	7	309	95	—	—	—	—	—	—
2026	20	ROK MLE	FCL Marlins	—	19	16	2	1	0	0	1	3	1	1	0	125	222	188	410	62	101	16	5	145	-16	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	84	77	12	1	0	1	4	12	2	0	1	156	217	208	425	52	169	14	5	186	12	—	—	—	—	—	—
2023	17	ROK RAW	DSL Miami	—	84	75	17	2	0	1	6	10	2	0	1	227	301	293	595	67	246	12	7	274	12	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	134	114	27	4	1	1	9	17	9	1	0	237	341	316	657	79	265	13	7	274	72	—	—	—	—	—	—
2024	18	ROK RAW	DSL Marlins	—	134	110	37	6	1	1	13	14	9	1	0	336	447	436	883	100	371	10	10	398	72	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	96	88	19	1	0	2	2	20	4	4	3	216	266	295	561	80	250	21	2	233	44	—	—	—	—	—	—
2025	19	ROK RAW	FCL Marlins	—	96	86	24	1	0	2	4	14	4	4	3	279	340	360	701	81	306	15	4	314	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	167	150	38	5	0	2	11	41	4	2	0	253	321	327	648	73	333	25	7	290	83	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	167	145	43	6	0	3	16	30	4	2	0	297	382	400	782	103	354	18	10	352	83	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	84	78	12	1	0	1	4	12	2	0	1	154	217	205	422	51	173	14	5	186	12	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	134	115	27	4	1	1	9	17	9	1	0	235	341	313	654	78	248	13	7	274	72	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	96	90	19	1	0	2	2	20	4	4	3	211	266	289	555	78	236	21	2	233	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	167	150	38	5	0	2	11	41	4	2	0	253	321	327	648	73	337	25	7	290	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Marlins	—	134	115	27	4	1	1	9	17	9	1	0	235	341	313	654	78	248	13	7	274	72	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	96	90	19	1	0	2	2	20	4	4	3	211	266	289	555	78	236	21	2	233	44	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	167	150	38	5	0	2	11	41	4	2	0	253	321	327	648	73	337	25	7	290	83	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIA	0%	277	254	57	9	2	5	17	71	4	4	1	223	284	328	611	104	287	26	6	276	73	-9	+0	+0	+5	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIA	34%	151	138	31	5	1	3	10	38	2	2	1	227	288	338	626	111	288	25	7	282	77	-4	+0	+0	+3	+3	0.2
2029	23	MLB MLE	MIA	48%	234	214	49	8	1	5	15	58	3	3	1	229	291	345	637	116	289	25	6	286	80	-6	+0	+0	+4	+5	0.4
2030	24	MLB MLE	MIA	53%	316	287	67	11	2	7	21	78	5	5	1	231	294	351	645	120	290	25	7	290	82	-7	+1	+0	+6	+7	0.7
2031	25	MLB MLE	MIA	55%	365	332	77	13	2	8	25	89	5	5	2	232	296	355	650	123	290	24	7	292	84	-7	+0	+0	+7	+8	0.8
2032	26	MLB MLE	MIA	56%	394	359	83	14	2	9	27	96	5	5	2	232	297	357	654	124	290	24	7	293	85	-7	+0	+0	+7	+9	0.9
2033	27	MLB MLE	MIA	55%	406	369	85	14	2	9	28	99	6	5	2	231	296	354	650	123	290	24	7	292	84	-8	+0	+0	+7	+9	0.8
2034	28	MLB MLE	MIA	55%	407	371	85	14	2	9	28	101	5	4	1	230	294	350	643	120	289	25	7	289	82	-9	+0	-1	+7	+9	0.7
2035	29	MLB MLE	MIA	53%	399	364	83	14	2	8	27	100	5	3	1	227	291	343	634	116	287	25	7	285	79	-10	+0	-1	+7	+9	0.5
2036	30	MLB MLE	MIA	53%	390	355	80	13	2	8	27	99	5	1	1	224	287	335	622	111	285	25	7	281	76	-11	-0	-2	+7	+8	0.2
2037	31	MLB MLE	MIA	52%	358	327	73	12	2	7	24	92	4	1	1	220	282	326	608	106	282	26	7	274	72	-12	-0	-3	+6	+8	-0.1
2028	22	MLB CTX	MIA	34%	52	48	11	2	0	1	3	13	1	1	0	220	282	324	605	104	280	25	6	274	77	-1	+0	+0	+1	+1	0.1
2029	23	MLB CTX	MIA	48%	113	103	24	4	1	2	7	28	2	2	0	222	285	331	616	109	281	25	6	278	80	-3	+0	+0	+2	+2	0.2
2030	24	MLB CTX	MIA	53%	167	152	34	5	1	3	11	41	2	2	1	224	287	336	624	112	281	25	7	281	82	-4	+0	+0	+3	+4	0.3
2031	25	MLB CTX	MIA	55%	200	181	40	6	1	4	14	49	3	3	1	225	289	340	629	115	281	24	7	283	84	-4	+0	+0	+4	+4	0.4
2032	26	MLB CTX	MIA	56%	219	199	45	7	1	5	15	53	3	3	1	225	290	342	632	117	281	24	7	284	85	-4	+0	+0	+4	+5	0.5
2033	27	MLB CTX	MIA	55%	223	203	45	7	1	5	15	55	3	3	1	224	289	339	628	115	281	25	7	283	84	-4	+0	+0	+4	+5	0.5
2034	28	MLB CTX	MIA	55%	222	202	45	7	1	5	15	55	3	2	1	222	287	335	622	113	280	25	7	280	82	-5	+0	-0	+4	+5	0.4
2035	29	MLB CTX	MIA	53%	213	193	43	7	1	4	15	53	3	1	1	220	284	329	613	109	278	25	7	277	79	-5	-0	-1	+4	+5	0.2
2036	30	MLB CTX	MIA	53%	205	186	41	6	1	4	14	52	3	1	0	217	281	321	602	104	277	25	7	272	76	-6	+0	-1	+4	+4	0.1
2037	31	MLB CTX	MIA	52%	187	170	37	6	1	3	13	48	2	1	0	213	276	312	588	99	274	26	7	266	72	-6	+0	-1	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1801	1637	365	57	9	36	122	447	25	19	6	223	287	335	622	112	283	25	7	278	78	-42	+1	-4	+32	+39	2.7
/ 162G	—	A+C		—	650	591	132	21	3	13	44	161	9	7	2	223	287	335	622	112	283	25	7	278	78	-15	+1	-1	+12	+14	1.0
Career	—	MLE		—	3998	3635	829	132	20	81	264	965	65	42	17	228	292	342	634	114	286	24	7	283	78	-84	+2	-7	+63	+76	5.1
/ 162G	—	MLE		—	650	591	134	21	3	13	43	157	11	7	3	227	292	338	630	112	285	24	7	283	78	-15	+0	-1	+12	+14	0.9

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 AJupiter Hammerheads · 148 PAwOBA .363 → .309 (−54)K% 18.9% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷1.000	×1.360	—	—	25.73%
BB% (unintentional) /PA	10.14%	÷1.000	×0.690	—	×1.015	7.10%
HBP% /PA	2.03%	—	×0.780	—	×1.015	1.60%
Singles /BIP	32.67%	÷1.000	×0.920	×1.032	×1.015	31.49%
Doubles /BIP	4.95%	÷1.000	×0.830	×1.032	×1.015	4.30%
Triples /BIP	0.00%	÷1.000	×0.910	×1.032	×1.015	0.00%
Home runs /BIP	2.97%	÷1.000	×0.800	—	×1.015	2.41%

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 ×1.032.

Result: wOBA .363 → .309; ISO .109 → .087; BABIP .388 → .367. 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 ROKFCL Marlins · 19 PAwOBA .196 → .145 (−51)K% 10.5% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.000	×1.440	—	—	15.16%
BB% (unintentional) /PA	5.26%	÷1.000	×0.620	—	×0.985	3.21%
HBP% /PA	5.26%	—	×0.720	—	×0.985	3.73%
Singles /BIP	7.14%	÷1.000	×0.820	—	×0.985	5.77%
Doubles /BIP	7.14%	÷1.000	×0.720	—	×0.985	5.07%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	0.00%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .196 → .145; ISO .062 → .047; BABIP .133 → .101. 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 ROKFCL Marlins · 96 PAwOBA .313 → .233 (−79)K% 14.6% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.58%	÷0.985	×1.440	—	—	21.33%
BB% (unintentional) /PA	4.17%	÷1.030	×0.620	—	×0.995	2.50%
HBP% /PA	4.17%	—	×0.720	—	×0.995	2.98%
Singles /BIP	29.17%	÷0.992	×0.820	×0.950	×0.995	22.80%
Doubles /BIP	1.39%	÷1.048	×0.720	×0.950	×0.995	0.90%
Triples /BIP	0.00%	÷1.146	×0.720	×0.950	×0.995	0.00%
Home runs /BIP	2.78%	÷0.910	×0.780	—	×0.995	2.37%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 98, 2B 110, 3B 129, K 97, BB 106 — 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 ×0.950.

Result: wOBA .313 → .233; ISO .081 → .065; BABIP .306 → .236. 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 Marlins · 134 PAwOBA .394 → .274 (−120)K% 10.4% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.45%	÷1.004	×1.220	—	—	12.70%
BB% (unintentional) /PA	9.70%	÷0.997	×0.700	—	×0.995	6.78%
HBP% /PA	6.72%	—	×0.700	—	×0.995	4.68%
Singles /BIP	30.21%	÷0.976	×0.680	×1.001	×0.995	20.97%
Doubles /BIP	6.25%	÷1.059	×0.600	×1.001	×0.995	3.53%
Triples /BIP	1.04%	÷0.933	×0.600	×1.001	×0.995	0.67%
Home runs /BIP	1.04%	÷0.940	×0.470	—	×0.995	0.52%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 95, 2B 112, 3B 87, K 101, BB 99 — 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 ×1.001.

Result: wOBA .394 → .274; ISO .100 → .059; BABIP .371 → .248. 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 Miami · 84 PAwOBA .270 → .186 (−84)K% 11.9% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷0.992	×1.220	—	—	14.65%
BB% (unintentional) /PA	7.14%	÷1.030	×0.700	—	×1.008	4.89%
HBP% /PA	2.38%	—	×0.700	—	×1.008	1.68%
Singles /BIP	21.54%	÷0.957	×0.680	×1.013	×1.008	15.61%
Doubles /BIP	3.08%	÷1.039	×0.600	×1.013	×1.008	1.81%
Triples /BIP	0.00%	÷1.150	×0.600	×1.013	×1.008	0.00%
Home runs /BIP	1.54%	÷0.948	×0.470	—	×1.008	0.77%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 91, 2B 108, 3B 130, K 98, 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 ×1.013.

Result: wOBA .270 → .186; ISO .067 → .036; BABIP .246 → .173. 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
#2Jacob 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
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#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 6 projected seasons	2.9	1,898	39	20	229	289	347	+34	+24	4.2	3.9
/162	664	14	7	+11.9	+8.4	1.5	pk7: 4
#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
Jeremy Almonte (OGILVIE)	21	46→51	39→44	46→51	45	221/281/325	103	287	2	1	25%	6%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Uriarte 2019 · A	21	46	41→45	49→30	41	223/277/319	96	282	8	4	23%	5%	69	-0.9	187/230/267	80	281	6	4	34%	4%	39	-3.1	146/183/206	60	224	4	0	36%	2%	4	-1.5
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕Ricardo Olivar 2023 · A	21	46→50	43→45	47→50	41	219/289/340	121	321	9	9	33%	7%	78	-0.3	226/303/344	118	307	11	9	28%	9%	85	+0.2	222/301/337	115	291	12	10	26%	9%	80	-0.1
✕Tyler Marlette 2014 · A	21	49→43	42→50	47→45	39	238/276/344	106	316	9	9	27%	5%	74	-0.5	237/279/377	140	306	16	7	27%	5%	83	+0.1	230/273/378	148	293	18	6	27%	5%	77	-0.2
✕Luis Torrens 2017 · A	21	45→49	41→50	46→40	49	217/293/309	93	272	8	6	23%	8%	74	-0.6	218/269/313	95	273	7	3	22%	6%	64	-1.3	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Evan Van Hoosier 2015 · A	21	47	44→50	56→50	44	229/282/358	129	287	10	10	23%	6%	80	-0.2	230/274/338	108	308	6	9	26%	5%	72	-0.7	232/275/343	110	324	5	10	28%	4%	70	-0.3
✕Jordan Groshans 2021 · A	21	49→51	42→50	46→30	43	234/290/340	106	321	9	6	29%	7%	78	-0.3	240/304/333	93	308	7	3	23%	8%	82	+0.0	237/306/316	79	299	6	1	21%	9%	76	-0.3
✕Jonathan Ornelas 2021 · A	21	44→54	39→45	50	42	209/270/300	91	293	6	11	29%	7%	62	-1.4	235/286/340	105	319	10	10	28%	6%	77	-0.3	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Deibinson Romero 2008 · A	21	47→45	44→50	48→40	44	231/289/351	120	292	12	8	25%	6%	81	-0.1	207/269/302	95	287	8	4	29%	7%	63	-1.4	226/298/362	137	274	14	2	22%	8%	85	+0.1
✕Gavin Cecchini 2015 · A	21	44→54	41→45	48→45	46	213/270/318	105	266	7	7	22%	7%	65	-1.2	256/307/355	99	303	7	5	17%	7%	88	+0.4	265/315/356	91	309	6	4	16%	6%	87	+0.3
✕Austin Romine 2010 · A	21	49→54	45→50	47→45	41	243/280/370	127	290	13	7	21%	4%	82	-0.0	245/288/356	111	302	11	4	22%	5%	82	-0.0	253/292/395	142	318	18	2	26%	5%	93	+0.3
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Luis Alvarez 2011 · A	21	45	40	48→45	47	216/287/311	94	272	7	6	22%	7%	72	-0.7	217/271/325	108	273	10	5	24%	5%	68	-1.0	209/261/319	110	249	12	1	21%	4%	60	-0.3
✕Agustín Ramírez 2023 · A	21	43→48	45→55	51→55	44	213/272/340	128	284	12	11	29%	7%	72	-0.7	233/294/390	157	279	18	13	23%	7%	93	+0.8	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Luis Caicuto 2024 · A	21	48	37→45	46→50	46	223/294/301	78	298	4	6	25%	8%	72	-0.7	210/278/278	68	274	4	6	23%	6%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Juan Guerrero 2023 · A	21	46→55	45	48→50	42	229/277/356	127	285	13	12	24%	6%	78	-0.3	233/273/322	89	286	7	14	20%	5%	68	-1.0	238/277/309	71	289	5	16	19%	4%	64	-1.0
✕Yu Chang 2017 · A	21	41→47	45→50	49→45	38	207/258/338	131	290	12	8	32%	6%	66	-1.1	209/270/355	146	291	16	8	32%	7%	75	-0.5	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Yorberto Mejicano 2022 · A	21	48	44→45	47→45	45	235/294/352	117	309	12	7	27%	8%	83	+0.1	220/273/322	102	296	10	8	28%	6%	68	-1.0	213/267/311	98	282	10	9	27%	6%	61	-0.6
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Owen Miller 2019 · A	22	50→54	42→45	48→50	40	244/284/355	111	305	9	6	23%	4%	80	-0.2	234/282/338	104	292	10	5	22%	6%	75	-0.5	244/296/361	116	305	10	8	22%	6%	85	+0.2

Jeremy Almonte

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps