Chris Torres

PosSS

B/TS/R

Born1998-02-06

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	18	ROKAZL Mariners	189	.257/.337/.359	0	12	38	—	.190/.246/.259
2018	20	APIT	110	.250/.394/.307	1	3	70	—	.232/.330/.284
2019	21	AClinton Lumbe…	508	.234/.347/.317	4	25	42	—	.174/.262/.234

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)
2015	17	ROK	DSL Mariners 2	—	274	215	54	8	3	2	51	56	3	20	9	251	401	344	746	93	327	20	19	344	48	—	—	—	—	—	—
2016	18	ROK	AZL Mariners	—	189	167	43	9	4	0	19	44	1	12	4	257	337	359	696	102	350	23	10	313	38	—	—	—	—	—	—
2018	20	A	Greensboro Grasshoppers	—	110	88	22	0	1	1	21	30	0	3	1	250	394	307	701	57	368	27	19	331	70	—	—	—	—	—	—
2019	21	A	Clinton LumberKings	—	508	432	101	14	5	4	75	141	0	25	6	234	347	317	664	83	337	28	15	310	42	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Mariners 2	—	274	230	39	5	2	1	36	68	3	20	9	170	290	222	512	52	224	25	13	239	48	—	—	—	—	—	—
2016	18	ROK MLE	AZL Mariners	—	189	174	33	6	3	0	12	63	1	12	4	190	246	259	505	69	296	33	6	225	38	—	—	—	—	—	—
2018	20	A MLE	Greensboro Grasshoppers	—	110	95	22	0	1	1	14	42	0	3	1	232	330	284	614	53	383	38	13	271	70	—	—	—	—	—	—
2019	21	A MLE	Clinton LumberKings	—	508	453	79	10	4	3	54	188	0	25	6	174	262	234	496	60	290	37	11	230	42	—	—	—	—	—	—
2015	17	ROK MLE	DSL Mariners 2	—	274	230	39	5	2	1	36	68	3	20	9	170	290	222	512	52	233	25	13	239	48	—	—	—	—	—	—
2015	17	ROK RAW	DSL Mariners 2	—	274	215	54	8	3	2	51	56	3	20	9	251	401	344	746	93	327	20	19	344	48	—	—	—	—	—	—
2016	18	ROK MLE	AZL Mariners	—	189	174	33	6	3	0	12	63	1	12	4	190	246	259	505	69	297	33	6	225	38	—	—	—	—	—	—
2016	18	ROK RAW	AZL Mariners	—	189	167	43	9	4	0	19	44	1	12	4	257	337	359	696	102	350	23	10	313	38	—	—	—	—	—	—
2018	20	A MLE	Greensboro Grasshoppers	—	110	95	22	0	1	1	14	42	0	3	1	232	330	284	614	53	404	38	13	271	70	—	—	—	—	—	—
2018	20	A RAW	Greensboro Grasshoppers	—	110	88	22	0	1	1	21	30	0	3	1	250	394	307	701	57	368	27	19	331	70	—	—	—	—	—	—
2019	21	A MLE	Clinton LumberKings	—	508	453	79	10	4	3	54	188	0	25	6	174	262	234	496	60	289	37	11	230	42	—	—	—	—	—	—
2019	21	A RAW	Clinton LumberKings	—	508	432	101	14	5	4	75	141	0	25	6	234	347	317	664	83	337	28	15	310	42	—	—	—	—	—	—
2015	17	ROK MLE	DSL Mariners 2	—	274	233	39	5	2	1	36	68	3	20	9	167	290	219	509	52	224	25	13	239	48	—	—	—	—	—	—
2016	18	ROK MLE	AZL Mariners	—	189	174	33	6	3	0	12	63	1	12	4	190	246	259	505	69	296	33	6	225	38	—	—	—	—	—	—
2018	20	A MLE	Greensboro Grasshoppers	—	110	95	22	0	1	1	14	42	0	3	1	232	330	284	614	53	383	38	13	271	70	—	—	—	—	—	—
2019	21	A MLE	Clinton LumberKings	—	508	449	79	10	4	3	54	188	0	25	6	176	262	236	498	60	290	37	11	230	42	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1081	952	173	21	10	5	116	361	4	60	20	182	273	241	514	59	285	33	11	236	46	-70	+4	+0	+12	+23	-3.2
/ 162G	—	MLE		—	650	572	104	13	6	3	70	217	2	36	12	182	273	241	515	59	285	33	11	236	46	-42	+2	+0	+7	+14	-1.9

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.

2019 AClinton LumberKings · 508 PAwOBA .303 → .230 (−73)K% 27.8% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.76%	÷1.019	×1.360	—	—	37.05%
BB% (unintentional) /PA	14.76%	÷0.972	×0.690	—	×1.015	10.64%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	26.80%	÷1.019	×0.920	×0.950	×1.015	23.33%
Doubles /BIP	4.81%	÷1.007	×0.830	×0.950	×1.015	3.82%
Triples /BIP	1.72%	÷0.936	×0.910	×0.950	×1.015	1.61%
Home runs /BIP	1.37%	÷1.085	×0.800	—	×1.015	1.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 104, 2B 101, 3B 87, K 104, BB 94 — 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 ×0.950.

Result: wOBA .303 → .230; ISO .083 → .062; BABIP .337 → .290. 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).

2018 AGreensboro Grasshoppers · 110 PAwOBA .324 → .271 (−53)K% 27.3% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.27%	÷0.966	×1.340	—	—	37.82%
BB% (unintentional) /PA	19.09%	÷1.006	×0.660	—	×1.030	12.90%
HBP% /PA	0.00%	—	×0.770	—	×1.030	0.00%
Singles /BIP	34.48%	÷0.945	×0.920	×1.050	×1.030	36.30%
Doubles /BIP	0.00%	÷0.909	×0.820	×1.050	×1.030	0.00%
Triples /BIP	1.72%	÷1.150	×0.940	×1.050	×1.030	1.52%
Home runs /BIP	1.72%	÷1.117	×0.820	—	×1.030	1.30%

Factors used: league row SAL. Park (home-season share, regressed): HR 123, 1B 89, 2B 82, 3B 130, K 93, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .324 → .271; ISO .057 → .043; BABIP .368 → .383. 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).

2016 ROKAZL Mariners · 189 PAwOBA .305 → .225 (−80)K% 23.3% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.28%	÷1.000	×1.440	—	—	33.52%
BB% (unintentional) /PA	10.05%	÷1.000	×0.620	—	×1.022	6.37%
HBP% /PA	0.53%	—	×0.720	—	×1.022	0.39%
Singles /BIP	24.39%	÷1.000	×0.820	×1.050	×1.022	21.47%
Doubles /BIP	7.32%	÷1.000	×0.720	×1.050	×1.022	5.66%
Triples /BIP	3.25%	÷1.000	×0.720	×1.050	×1.022	2.51%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.022	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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .225; ISO .102 → .072; BABIP .350 → .296. 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 · 274 PAwOBA .337 → .239 (−98)K% 20.4% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.44%	÷1.000	×1.220	—	—	24.93%
BB% (unintentional) /PA	18.25%	÷1.000	×0.700	—	×1.022	13.06%
HBP% /PA	1.09%	—	×0.700	—	×1.022	0.78%
Singles /BIP	25.79%	÷1.000	×0.680	×1.014	×1.022	18.19%
Doubles /BIP	5.03%	÷1.000	×0.600	×1.014	×1.022	3.13%
Triples /BIP	1.89%	÷1.000	×0.600	×1.014	×1.022	1.17%
Home runs /BIP	1.26%	÷1.000	×0.470	—	×1.022	0.60%

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 ×1.014.

Result: wOBA .337 → .239; ISO .093 → .057; BABIP .327 → .224. 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).