Adalfi Almonte

PosLF

B/TR/R

Born1996-04-19

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

ROKLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	18	ROKSEA	236	.263/.384/.397	4	13	41	—	.168/.276/.243
2015	19	ROKDSL Mariners 2	234	.237/.416/.312	1	8	45	—	.161/.310/.215
2016	20	ROKDSL Mariners 1	105	.222/.434/.306	1	9	52	—	.167/.343/.231

Contract

No contract data on file.

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)
2013	17	ROK	DSL Mariners	—	249	196	46	16	2	4	43	56	5	12	3	235	385	398	783	163	304	22	17	351	41	—	—	—	—	—	—
2014	18	ROK	DSL Mariners	—	236	194	51	14	0	4	27	45	11	13	6	263	384	397	781	134	320	19	11	352	41	—	—	—	—	—	—
2015	19	ROK	DSL Mariners 2	—	234	173	41	8	1	1	42	45	11	8	9	237	416	312	728	75	315	19	18	339	45	—	—	—	—	—	—
2016	20	ROK	DSL Mariners 1	—	105	72	16	3	0	1	20	27	7	9	2	222	434	306	740	83	341	26	19	342	52	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Mariners	—	249	208	30	10	1	2	31	68	5	12	3	144	270	231	501	87	188	27	12	229	41	—	—	—	—	—	—
2014	18	ROK MLE	DSL Mariners	—	236	202	34	9	0	2	19	55	11	13	6	168	276	243	518	74	204	23	8	229	41	—	—	—	—	—	—
2015	19	ROK MLE	DSL Mariners 2	—	234	186	30	5	1	1	29	55	11	8	9	161	310	215	525	54	205	24	12	234	45	—	—	—	—	—	—
2016	20	ROK MLE	DSL Mariners 1	—	105	78	13	2	0	1	14	33	7	9	2	167	343	231	574	64	231	31	13	245	52	—	—	—	—	—	—
2013	17	ROK MLE	DSL Mariners	—	249	208	30	10	1	2	31	68	5	12	3	144	270	231	501	87	200	27	12	229	41	—	—	—	—	—	—
2013	17	ROK RAW	DSL Mariners	—	249	196	46	16	2	4	43	56	5	12	3	235	385	398	783	163	304	22	17	351	41	—	—	—	—	—	—
2014	18	ROK MLE	DSL Mariners	—	236	202	34	9	0	2	19	55	11	13	6	168	276	243	518	74	218	23	8	229	41	—	—	—	—	—	—
2014	18	ROK RAW	DSL Mariners	—	236	194	51	14	0	4	27	45	11	13	6	263	384	397	781	134	320	19	11	352	41	—	—	—	—	—	—
2015	19	ROK MLE	DSL Mariners 2	—	234	186	30	5	1	1	29	55	11	8	9	161	310	215	525	54	223	24	12	234	45	—	—	—	—	—	—
2015	19	ROK RAW	DSL Mariners 2	—	234	173	41	8	1	1	42	45	11	8	9	237	416	312	728	75	315	19	18	339	45	—	—	—	—	—	—
2016	20	ROK MLE	DSL Mariners 1	—	105	78	13	2	0	1	14	33	7	9	2	167	343	231	574	64	273	31	13	245	52	—	—	—	—	—	—
2016	20	ROK RAW	DSL Mariners 1	—	105	72	16	3	0	1	20	27	7	9	2	222	434	306	740	83	341	26	19	342	52	—	—	—	—	—	—
2013	17	ROK MLE	DSL Mariners	—	249	211	30	10	1	2	31	68	5	12	3	142	270	227	498	85	188	27	12	229	41	—	—	—	—	—	—
2014	18	ROK MLE	DSL Mariners	—	236	204	34	9	0	2	19	55	11	13	6	167	276	240	516	74	204	23	8	229	41	—	—	—	—	—	—
2015	19	ROK MLE	DSL Mariners 2	—	234	192	30	5	1	1	29	55	11	8	9	156	310	208	518	52	205	24	12	234	45	—	—	—	—	—	—
2016	20	ROK MLE	DSL Mariners 1	—	105	83	13	2	0	1	14	33	7	9	2	157	343	217	560	60	231	31	13	245	52	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	824	674	107	26	2	6	93	211	34	42	20	159	292	230	522	71	219	26	11	232	43	-55	+0	+0	-9	+18	-4.7
/ 162G	—	MLE		—	650	532	86	21	2	5	73	166	27	33	16	162	294	237	531	75	223	26	11	232	43	-44	+0	+0	-7	+14	-3.7

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.

2016 DSLDSL Mariners 1 · 105 PAwOBA .335 → .245 (−90)K% 25.7% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.71%	÷1.000	×1.220	—	—	31.37%
BB% (unintentional) /PA	19.05%	÷1.000	×0.700	—	×0.985	13.13%
HBP% /PA	6.67%	—	×0.700	—	×0.985	4.60%
Singles /BIP	26.67%	÷1.000	×0.680	×1.050	×0.985	18.75%
Doubles /BIP	6.67%	÷1.000	×0.600	×1.050	×0.985	4.14%
Triples /BIP	0.00%	÷1.000	×0.600	×1.050	×0.985	0.00%
Home runs /BIP	2.22%	÷1.000	×0.470	—	×0.985	1.03%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .335 → .245; ISO .083 → .054; BABIP .341 → .231. 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).

2015 DSLDSL Mariners 2 · 234 PAwOBA .332 → .234 (−98)K% 19.2% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.000	×1.220	—	—	23.46%
BB% (unintentional) /PA	17.95%	÷1.000	×0.700	—	×0.995	12.50%
HBP% /PA	4.70%	—	×0.700	—	×0.995	3.27%
Singles /BIP	24.22%	÷1.000	×0.680	×0.993	×0.995	16.27%
Doubles /BIP	6.25%	÷1.000	×0.600	×0.993	×0.995	3.70%
Triples /BIP	0.78%	÷1.000	×0.600	×0.993	×0.995	0.46%
Home runs /BIP	0.78%	÷1.000	×0.470	—	×0.995	0.37%

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 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 ×0.993.

Result: wOBA .332 → .234; ISO .075 → .047; BABIP .315 → .205. 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).

2014 DSLDSL Mariners · 236 PAwOBA .346 → .229 (−118)K% 19.1% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.07%	÷1.000	×1.220	—	—	23.26%
BB% (unintentional) /PA	11.44%	÷1.000	×0.700	—	×1.008	8.07%
HBP% /PA	4.66%	—	×0.700	—	×1.008	3.29%
Singles /BIP	22.15%	÷1.000	×0.680	×0.977	×1.008	14.83%
Doubles /BIP	9.40%	÷1.000	×0.600	×0.977	×1.008	5.55%
Triples /BIP	0.00%	÷1.000	×0.600	×0.977	×1.008	0.00%
Home runs /BIP	2.68%	÷1.000	×0.470	—	×1.008	1.27%

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 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 ×0.977.

Result: wOBA .346 → .229; ISO .134 → .074; BABIP .320 → .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).

2013 DSLDSL Mariners · 249 PAwOBA .346 → .229 (−117)K% 22.5% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.49%	÷1.000	×1.220	—	—	27.44%
BB% (unintentional) /PA	17.27%	÷1.000	×0.700	—	×1.022	12.36%
HBP% /PA	2.01%	—	×0.700	—	×1.022	1.44%
Singles /BIP	17.14%	÷1.000	×0.680	×0.950	×1.022	11.32%
Doubles /BIP	11.43%	÷1.000	×0.600	×0.950	×1.022	6.66%
Triples /BIP	1.43%	÷1.000	×0.600	×0.950	×1.022	0.83%
Home runs /BIP	2.86%	÷1.000	×0.470	—	×1.022	1.37%

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 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 ×0.950.

Result: wOBA .346 → .229; ISO .163 → .093; 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).