Bryan Torres

OF St. Louis Cardinals

Age 30 L/R 5'7" / 165 lbs MLB HR -14%BB -5% Svc 0.750 · Ctrl thru 2032

Overview

MLB40-MANPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	27	AA/INTL2 orgs	685	.326/.432/.404	2	55	114	—	.299/.364/.369
2025	28	AAA/INTL2 orgs	623	.320/.424/.436	11	39	123	—	.307/.395/.420
2026	29	AAASTL	166	.336/.465/.477	2	10	135	—	.328/.421/.460
2026	29	MLBSTL	189	.229/.312/.331	4	2	86	-0.1
2027PROJ	30	MLBSTL	155	.239/.328/.337	2	6	92	0.1
2028PROJ65% MLB	31	MLBSTL	165	.235/.323/.330	2	4	89	-0.1

Last 3 seasons WAR -0.1 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.750First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$0.8M2030Ext$0.4M2031Ext$0.8M2032Ext$1M

Skills · percentileStatcast 2026

Speed43

xwOBA32

Avg EV16

Barrel%10

Form.227/.325/.306 ▼ rolling true talent (60d window) · proj .238/.325/.338

CompsJosh Rojas (age 30) · Ezequiel Carrera (age 30) · Jace Peterson (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†92

AVG/OBP/SLG.239 / .328 / .337

PA155

HR2

SB6

K%19

BB%11

BABIP286

ISO96

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$0M ctrl surplus

Tools · Recent Form · ContractCON 60 / POW 45

Toolsscout grade · Statcast %ile · 2026

CONTACT60

xAVG

230.229

POWER45

Barrel%

103.1

Avg EV

1686.5

EYE60

scouting grade only

SPEED60

Sprint

4327.2

Recent Formrolling true talent ⓘ

K%21%▼23% over 53 PA (60d) · proj 19%

BB%12%▲15% over 53 PA (60d) · proj 11%

ISO.079▼.000 over 43 AB (60d) · proj .100

HR/BB1.8%·0.0% over 32 BBE (60d) · proj 2.3%

BABIP.282·.219 over 32 BIP (60d) · proj .284

SLASH.227/.325/.306▼proj .238/.325/.338

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.750 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.2	$0.8M	+$0.0M
2028	Pre-Arb	$0.8M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
Totals		$0.8M		$0.4M	+$0.0M

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	18	ROK	DSL Brewers	—	32	28	7	0	1	0	4	2	0	2	0	250	344	321	665	71	269	6	12	307	27	—	—	—	—	—	—
2016	19	ROK	DSL Brewers	—	165	143	37	2	4	0	19	14	2	8	3	259	354	329	682	70	287	8	12	314	31	—	—	—	—	—	—
2017	20	ROK	DSL Indians/Brewers	—	158	136	40	6	1	1	18	6	1	6	5	294	381	375	756	81	300	4	11	340	37	—	—	—	—	—	—
2018	21	ROK	Helena Brewers	—	141	130	37	6	1	1	8	17	0	4	6	285	326	369	695	85	321	12	6	307	41	—	—	—	—	—	—
2019	22	INTL	Gigantes de Carolina	—	40	36	6	1	0	0	3	4	1	0	1	167	250	194	444	28	188	10	8	216	32	—	—	—	—	—	—
2021	24	AA	Richmond Flying Squirrels	—	144	132	37	7	1	0	7	31	2	6	3	280	326	348	675	68	356	22	5	300	68	—	—	—	—	—	—
2021	24	INTL	Gigantes de Carolina	—	75	64	19	1	0	0	9	13	0	3	0	297	384	312	696	16	373	17	12	318	101	—	—	—	—	—	—
2022	25	INTL	Puerto Rico	—	195	170	46	5	2	1	22	27	2	3	6	271	361	341	702	71	317	14	11	323	105	—	—	—	—	—	—
2023	26	INTL	Puerto Rico	—	189	154	45	4	0	1	27	21	5	15	6	292	412	338	749	45	333	11	14	349	122	—	—	—	—	—	—
2024	27	AA	Springfield Cardinals	—	528	447	148	28	2	2	69	75	1	33	10	331	422	416	838	85	389	14	13	373	105	—	—	—	—	—	—
2024	27	INTL	Gigantes de Carolina	—	157	120	37	6	0	0	34	9	1	22	2	308	465	358	823	50	330	6	22	384	146	—	—	—	—	—	—
2025	28	AAA	Memphis Redbirds	—	414	332	109	16	1	9	70	57	1	26	6	328	447	464	911	136	369	14	17	400	125	—	—	—	—	—	—
2025	28	INTL	Criollos de Caguas	—	209	184	56	7	1	2	22	28	0	13	4	304	379	386	765	82	348	13	11	343	118	—	—	—	—	—	—
2026	29	MLB	St. Louis Cardinals	—	189	166	38	1	2	4	18	39	2	2	0	229	312	331	643	102	272	21	10	291	86	-3	+0	+0	-2	+4	-0.1
2026	29	AAA	Memphis Redbirds	—	166	128	43	10	1	2	29	25	2	10	2	336	465	477	942	141	390	15	17	406	135	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	189	166	38	1	2	4	18	39	2	2	0	229	312	331	643	102	272	21	10	291	83	-4	+0	+0	-2	+4	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	18	ROK MLE	DSL Brewers	—	32	29	5	0	1	0	3	2	0	2	0	172	250	241	491	69	181	6	9	208	27	—	—	—	—	—	—
2016	19	ROK MLE	DSL Brewers	—	165	149	26	1	3	0	13	17	2	8	3	174	250	221	471	47	196	10	8	214	31	—	—	—	—	—	—
2017	20	ROK MLE	DSL Indians/Brewers	—	158	142	27	4	1	0	12	7	1	6	5	190	258	232	490	42	191	4	8	223	37	—	—	—	—	—	—
2018	21	ROK MLE	Helena Brewers	—	141	133	30	4	1	1	5	25	0	4	6	226	254	293	547	68	261	18	4	229	41	—	—	—	—	—	—
2021	24	AA MLE	Richmond Flying Squirrels	—	144	135	36	6	1	0	4	38	2	6	3	267	298	326	624	59	341	26	3	269	68	—	—	—	—	—	—
2024	27	AA MLE	Springfield Cardinals	—	528	469	140	26	2	1	47	97	1	33	10	299	364	369	733	70	360	18	9	323	105	—	—	—	—	—	—
2025	28	AAA MLE	Memphis Redbirds	—	414	352	108	14	1	8	50	72	1	26	6	307	395	420	815	114	346	17	12	353	125	—	—	—	—	—	—
2026	29	MLB MLE	St. Louis Cardinals	—	189	166	38	1	2	4	18	39	2	2	0	229	312	331	643	102	272	21	10	295	86	-3	+0	+0	-2	+4	-0.1
2026	29	AAA MLE	Memphis Redbirds	—	166	137	45	10	1	2	20	30	2	10	2	328	421	460	881	131	364	18	12	368	135	—	—	—	—	—	—
2015	18	ROK MLE	DSL Brewers	—	32	29	5	0	1	0	3	2	0	2	0	172	250	241	491	69	185	6	9	208	27	—	—	—	—	—	—
2015	18	ROK RAW	DSL Brewers	—	32	28	7	0	1	0	4	2	0	2	0	250	344	321	665	71	269	6	12	307	27	—	—	—	—	—	—
2016	19	ROK MLE	DSL Brewers	—	165	149	26	1	3	0	13	17	2	8	3	174	250	221	471	47	197	10	8	214	31	—	—	—	—	—	—
2016	19	ROK RAW	DSL Brewers	—	165	143	37	2	4	0	19	14	2	8	3	259	354	329	682	70	287	8	12	314	31	—	—	—	—	—	—
2017	20	ROK MLE	DSL Indians/Brewers	—	158	142	27	4	1	0	12	7	1	6	5	190	258	232	490	42	199	4	8	223	37	—	—	—	—	—	—
2017	20	ROK RAW	DSL Indians/Brewers	—	158	136	40	6	1	1	18	6	1	6	5	294	381	375	756	81	300	4	11	340	37	—	—	—	—	—	—
2018	21	ROK MLE	Helena Brewers	—	141	133	30	4	1	1	5	25	0	4	6	226	254	293	547	68	271	18	4	229	41	—	—	—	—	—	—
2018	21	ROK RAW	Helena Brewers	—	141	130	37	6	1	1	8	17	0	4	6	285	326	369	695	85	321	12	6	307	41	—	—	—	—	—	—
2019	22	INTL MLE	Gigantes de Carolina	—	40	36	6	1	0	0	3	4	1	0	1	167	250	194	444	28	188	10	8	—	—	—	—	—	—	—	—
2019	22	INTL RAW	Gigantes de Carolina	—	40	36	6	1	0	0	3	4	1	0	1	167	250	194	444	28	188	10	8	216	32	—	—	—	—	—	—
2021	24	AA MLE	2 teams	—	219	205	54	9	1	0	7	57	2	9	3	263	294	317	611	54	358	26	3	269	68	—	—	—	—	—	—
2021	24	AA RAW	2 teams	—	219	196	56	8	1	0	16	44	2	9	3	286	346	337	683	51	361	20	7	306	68	—	—	—	—	—	—
2022	25	INTL MLE	Puerto Rico	—	195	170	46	5	2	1	22	27	2	3	6	271	361	341	702	71	317	14	11	—	—	—	—	—	—	—	—
2022	25	INTL RAW	Puerto Rico	—	195	170	46	5	2	1	22	27	2	3	6	271	361	341	702	71	317	14	11	323	105	—	—	—	—	—	—
2023	26	INTL MLE	Puerto Rico	—	189	154	45	4	0	1	27	21	5	15	6	292	412	338	749	45	333	11	14	—	—	—	—	—	—	—	—
2023	26	INTL RAW	Puerto Rico	—	189	154	45	4	0	1	27	21	5	15	6	292	412	338	749	45	333	11	14	349	122	—	—	—	—	—	—
2024	27	AA MLE	2 teams	—	685	609	183	34	2	2	61	126	2	55	12	300	366	373	739	72	372	18	9	323	105	—	—	—	—	—	—
2024	27	AA RAW	2 teams	—	685	567	185	34	2	2	103	84	2	55	12	326	432	404	835	78	376	12	15	376	105	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	623	533	162	21	2	11	75	108	1	39	10	304	391	413	804	109	360	17	12	353	125	—	—	—	—	—	—
2025	28	AAA RAW	2 teams	—	623	516	165	23	2	11	92	85	1	39	10	320	424	436	860	116	362	14	15	381	125	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	355	303	82	10	3	6	38	69	4	12	2	271	359	383	742	112	325	19	11	329	109	+4	+2	+0	-2	+8	1.1
2026	29	MLB RAW	2 teams	—	355	294	81	11	3	6	47	64	4	12	2	276	383	395	777	119	326	18	13	345	109	+4	+2	+0	-2	+8	1.1
2015	18	ROK MLE	DSL Brewers	—	32	29	5	0	1	0	3	2	0	2	0	172	250	241	491	69	181	6	9	208	27	—	—	—	—	—	—
2016	19	ROK MLE	DSL Brewers	—	165	149	26	1	3	0	13	17	2	8	3	174	250	221	471	47	196	10	8	214	31	—	—	—	—	—	—
2017	20	ROK MLE	DSL Indians/Brewers	—	158	144	27	4	1	0	12	7	1	6	5	188	258	229	487	42	191	4	8	223	37	—	—	—	—	—	—
2018	21	ROK MLE	Helena Brewers	—	141	135	30	4	1	1	5	25	0	4	6	222	254	289	543	67	261	18	4	229	41	—	—	—	—	—	—
2021	24	AA MLE	2 teams	—	219	208	54	9	1	0	7	57	2	9	3	260	294	312	607	53	341	26	3	269	68	—	—	—	—	—	—
2024	27	AA MLE	2 teams	—	685	617	183	34	2	2	61	126	2	55	12	297	366	368	734	71	360	18	9	323	105	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	623	542	162	21	2	11	75	108	1	39	10	299	391	406	797	107	346	17	12	353	125	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	355	310	82	10	3	6	38	69	4	12	2	265	359	374	734	110	315	19	11	329	109	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	AA MLE	2 teams	—	685	617	183	34	2	2	61	126	2	55	12	297	366	368	734	71	360	18	9	323	105	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	623	542	162	21	2	11	75	108	1	39	10	299	391	406	797	107	346	17	12	353	125	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	355	310	82	10	3	6	38	69	4	12	2	265	359	374	734	110	315	19	11	329	109	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	STL	100%	380	332	79	11	2	6	42	72	3	14	4	238	328	339	667	100	284	19	11	304	92	-4	+1	+0	-2	+8	0.2
▸ 2027 — real world (MLB)
2027	30	MLB CTX	STL	100%	155	136	33	5	1	2	17	29	1	6	2	239	328	337	665	98	286	19	11	303	92	-1	+0	+0	-1	+3	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	STL	65%	254	223	52	7	1	4	27	50	2	7	2	235	323	332	655	98	282	20	11	299	89	-3	+1	-3	-2	+6	-0.2
2028	31	MLB CTX	STL	65%	165	145	34	5	1	2	18	32	1	4	1	235	323	330	653	95	283	19	11	298	89	-2	+0	-2	-1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	354	311	72	6	3	6	36	71	3	6	1	232	317	328	645	96	278	20	10	294	65	-6	+1	-2	-3	+8	-0.3
/ 162G	—	A+C		—	650	571	133	11	6	11	66	130	6	11	2	233	319	331	650	98	280	20	10	294	65	-11	+1	-3	-6	+14	-0.5
Career	—	MLE		—	3211	2822	750	104	18	28	310	542	23	166	58	266	343	345	688	79	317	17	10	265	65	-9	+1	-3	-5	+13	-0.2
/ 162G	—	MLE		—	650	571	152	21	4	6	63	110	5	34	12	266	344	349	693	82	317	17	10	265	65	-10	+2	-3	-5	+14	-0.2

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 AAAMemphis Redbirds · 166 PAwOBA .407 → .368 (−38)K% 15.1% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.06%	÷1.000	×1.200	—	—	18.07%
BB% (unintentional) /PA	17.47%	÷1.000	×0.690	—	×0.982	11.84%
HBP% /PA	1.20%	—	×0.940	—	×0.982	1.11%
Singles /BIP	29.13%	÷1.000	×0.930	×1.050	×0.982	27.93%
Doubles /BIP	9.71%	÷1.000	×0.830	×1.050	×0.982	8.31%
Triples /BIP	0.97%	÷1.000	×0.970	×1.050	×0.982	0.97%
Home runs /BIP	1.94%	÷1.000	×0.700	—	×0.982	1.33%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .407 → .368; ISO .141 → .128; BABIP .390 → .364. 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 AAAMemphis Redbirds · 414 PAwOBA .395 → .353 (−42)K% 13.8% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.77%	÷0.953	×1.200	—	—	17.34%
BB% (unintentional) /PA	16.91%	÷0.954	×0.690	—	×0.992	12.13%
HBP% /PA	0.24%	—	×0.940	—	×0.992	0.23%
Singles /BIP	30.18%	÷0.982	×0.930	×1.028	×0.992	29.14%
Doubles /BIP	5.82%	÷1.033	×0.830	×1.028	×0.992	4.77%
Triples /BIP	0.36%	÷0.900	×0.970	×1.028	×0.992	0.40%
Home runs /BIP	3.27%	÷0.869	×0.700	—	×0.992	2.62%

Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 96, 2B 107, 3B 80, K 91, BB 91 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .395 → .353; ISO .136 → .118; BABIP .369 → .346. 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 AASpringfield Cardinals · 528 PAwOBA .367 → .323 (−45)K% 14.2% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.20%	÷0.943	×1.220	—	—	18.38%
BB% (unintentional) /PA	12.88%	÷0.992	×0.700	—	×0.978	8.89%
HBP% /PA	0.19%	—	×0.870	—	×0.978	0.16%
Singles /BIP	31.18%	÷0.998	×0.920	×1.035	×0.978	29.08%
Doubles /BIP	7.53%	÷0.940	×0.840	×1.035	×0.978	6.80%
Triples /BIP	0.54%	÷1.150	×0.940	×1.035	×0.978	0.44%
Home runs /BIP	0.54%	÷1.386	×0.800	—	×0.978	0.30%

Factors used: league row TL. Park (home-season share, regressed): HR 177, 1B 100, 2B 88, 3B 130, K 89, BB 98 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .367 → .323; ISO .085 → .074; BABIP .389 → .360. 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).

2021 AARichmond Flying Squirrels · 144 PAwOBA .298 → .269 (−30)K% 21.5% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.53%	÷1.004	×1.220	—	—	26.16%
BB% (unintentional) /PA	4.86%	÷1.134	×0.690	—	×1.012	2.99%
HBP% /PA	1.39%	—	×0.850	—	×1.012	1.19%
Singles /BIP	28.71%	÷0.970	×0.940	×1.018	×1.012	28.68%
Doubles /BIP	6.93%	÷1.098	×0.870	×1.018	×1.012	5.66%
Triples /BIP	0.99%	÷1.150	×0.920	×1.018	×1.012	0.82%
Home runs /BIP	0.00%	÷0.923	×0.780	—	×1.012	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .298 → .269; ISO .068 → .055; BABIP .356 → .341. 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 ROKHelena Brewers · 141 PAwOBA .298 → .229 (−69)K% 12.1% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.06%	÷1.000	×1.440	—	—	17.36%
BB% (unintentional) /PA	5.67%	÷1.000	×0.610	—	×0.985	3.41%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	25.66%	÷1.000	×0.820	×1.032	×0.985	21.39%
Doubles /BIP	5.31%	÷1.000	×0.720	×1.032	×0.985	3.89%
Triples /BIP	0.88%	÷1.000	×0.720	×1.032	×0.985	0.65%
Home runs /BIP	0.88%	÷1.000	×0.750	—	×0.985	0.65%

Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .298 → .229; ISO .085 → .061; BABIP .321 → .261. 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).

2017 DSLDSL Indians/Brewers · 158 PAwOBA .333 → .223 (−111)K% 3.8% → 4.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.80%	÷1.000	×1.220	—	—	4.63%
BB% (unintentional) /PA	11.39%	÷1.000	×0.700	—	×0.985	7.86%
HBP% /PA	0.63%	—	×0.700	—	×0.985	0.44%
Singles /BIP	24.62%	÷1.000	×0.680	×0.974	×0.985	16.05%
Doubles /BIP	4.62%	÷1.000	×0.600	×0.974	×0.985	2.66%
Triples /BIP	0.77%	÷1.000	×0.600	×0.974	×0.985	0.44%
Home runs /BIP	0.77%	÷1.000	×0.470	—	×0.985	0.36%

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 ×0.974.

Result: wOBA .333 → .223; ISO .081 → .047; BABIP .300 → .191. 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 DSLDSL Brewers · 165 PAwOBA .304 → .214 (−91)K% 8.5% → 10.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.48%	÷1.000	×1.220	—	—	10.35%
BB% (unintentional) /PA	10.91%	÷1.000	×0.700	—	×0.995	7.60%
HBP% /PA	1.21%	—	×0.700	—	×0.995	0.84%
Singles /BIP	24.03%	÷1.000	×0.680	×1.031	×0.995	16.76%
Doubles /BIP	1.55%	÷1.000	×0.600	×1.031	×0.995	0.95%
Triples /BIP	3.10%	÷1.000	×0.600	×1.031	×0.995	1.91%
Home runs /BIP	0.00%	÷1.000	×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): 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 ×1.031.

Result: wOBA .304 → .214; ISO .070 → .045; BABIP .287 → .196. 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 Brewers · 32 PAwOBA .300 → .208 (−93)K% 6.2% → 7.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.25%	÷1.000	×1.220	—	—	7.62%
BB% (unintentional) /PA	12.50%	÷1.000	×0.700	—	×1.008	8.82%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	23.08%	÷1.000	×0.680	—	×1.008	15.81%
Doubles /BIP	0.00%	÷1.000	×0.600	—	×1.008	0.00%
Triples /BIP	3.85%	÷1.000	×0.600	—	×1.008	2.33%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

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).

Result: wOBA .300 → .208; ISO .071 → .044; BABIP .269 → .181. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#2Turner Ward'90-'01 * career totals — 9 seasons, 1,789 PA	2.7	1,789	39	33	241*	319*	384*	-11	+10	2.7	3.7
/162	664	14	12	-4.2	+3.7	1.0	pk7: 5
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4So Taguchi'02-'09 * career totals — 6 seasons, 1,524 PA	2.3	1,524	19	39	268*	320*	372*	-8	-8	0.9	1.2
/162	664	8	17	-3.7	-3.3	0.4	pk7: 1
#5James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#6Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	0.8	509	9	12	234	317	334	-3	+0	0.4	0.4
/162	664	12	16	-4.0	+0.0	0.5	pk7: 0

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
Bryan Torres (OGILVIE)	30	60	45	60	60	236/325/336	99	284	2	6	19%	11%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Josh Rojas 2024 · MLB	30	51→53	43→50	54→55	51	248/315/361	114	306	11	19	22%	9%	93	+0.8	220/287/331	111	273	11	13	22%	8%	76	-0.4	204/271/311	108	249	10	9	22%	8%	65	-0.7
✕Ezequiel Carrera 2017 · MLB	30	52→62	42→45	52→60	48	249/311/353	103	304	10	20	21%	7%	89	+0.5	235/298/344	109	299	11	18	24%	8%	82	+0.0	238/300/337	100	302	11	24	24%	8%	82	+0.0
✕Jace Peterson 2020 · MLB	30	48→57	46→50	56→55	51	234/305/373	138	281	12	19	21%	9%	92	+0.7	237/321/383	146	298	15	17	24%	11%	101	+1.4	222/312/344	122	285	12	20	25%	11%	89	+0.3
✕Don Kelly 2010 · MLB	30	52→59	41→45	56→55	49	248/298/351	103	279	7	18	14%	6%	84	+0.1	241/290/362	121	269	13	13	16%	6%	84	+0.1	218/289/328	110	237	12	8	14%	8%	76	-0.2
✕Miles Mastrobuoni 2024 · MLB	28	52→57	42→45	58→60	50	248/314/359	111	314	9	24	23%	9%	92	+0.7	223/291/310	87	278	6	23	20%	9%	72	-0.7	212/280/283	71	262	4	22	19%	9%	61	-0.8
✕Grégor Blanco 2014 · MLB	30	53→62	40→45	55→60	54	249/325/347	98	310	6	23	21%	10%	93	+0.8	259/329/371	112	312	8	19	18%	9%	100	+1.3	258/329/369	110	308	7	19	17%	9%	100	+0.8
✕Chris Duffy 2009 · MLB	29	51→61	42→45	58→60	48	246/306/357	111	292	8	28	18%	7%	88	+0.5	221/277/330	109	296	9	15	27%	6%	72	-0.7	216/262/319	103	308	7	16	31%	4%	61	-0.9
✕Chris Singleton 2003 · MLB	30	53→59	45→50	55	45	261/299/398	137	294	11	20	16%	5%	95	+1.0	245/297/362	117	289	7	14	17%	6%	86	+0.3	236/287/327	91	282	2	12	16%	6%	74	-0.3
✕Rich Thompson 2009 · AAA	30	52→57	40→45	60→65	46	246/301/346	100	301	5	25	20%	6%	84	+0.1	243/292/339	96	296	5	31	19%	5%	78	-0.3	253/301/350	97	307	4	44	18%	4%	81	-0.0
✕Cameron Maybin 2017 · MLB	30	56→60	42→50	54→55	52	267/331/379	112	319	9	20	19%	8%	102	+1.5	250/328/377	127	308	12	25	21%	10%	101	+1.4	244/328/376	132	305	13	27	23%	11%	102	+1.0
✕Brian Bogusevic 2014 · MLB	30	49→54	46→45	56→55	49	243/315/377	134	303	13	21	24%	9%	97	+1.1	245/301/369	124	307	13	17	23%	7%	90	+0.6	244/291/365	121	302	13	15	23%	5%	83	+0.0
✕Willie Harris 2008 · MLB	30	52→60	42→50	57→60	52	246/321/369	123	301	7	28	20%	9%	97	+1.1	239/334/393	154	275	14	18	18%	11%	107	+1.9	225/333/387	162	252	16	16	17%	13%	107	+1.1
✕Travis Jankowski 2022 · MLB	31	51→61	38→40	52→65	55	240/320/326	87	298	5	20	20%	10%	87	+0.4	231/319/305	74	291	4	30	20%	11%	82	+0.0	230/309/287	57	284	3	34	18%	9%	73	-0.2
✕Sam Fuld 2012 · MLB	30	50→57	41→45	58→60	56	236/307/346	110	262	6	26	12%	9%	86	+0.3	225/295/323	98	259	7	25	15%	9%	76	-0.4	222/296/310	88	257	6	28	15%	9%	74	-0.2
✕Roger Bernadina 2014 · MLB	30	46→56	45	55→60	46	228/293/350	122	282	12	21	23%	7%	82	+0.0	211/288/327	116	299	11	18	31%	8%	76	-0.4	219/285/332	113	308	11	20	31%	7%	73	-0.4
✕Tim Locastro 2022 · MLB	30	46→53	44→45	55→60	46	225/314/344	120	268	11	23	20%	6%	91	+0.6	211/292/333	122	261	12	24	23%	5%	80	-0.2	210/293/320	110	261	10	36	22%	5%	75	-0.2
✕Ender Inciarte 2021 · MLB	30	49→59	43→45	52→60	53	237/308/352	115	270	10	18	16%	9%	88	+0.5	223/285/332	109	272	11	12	21%	8%	75	-0.5	213/268/297	84	264	9	12	22%	7%	58	-0.5
✕Pokey Reese 2003 · MLB	30	50→54	42→45	56→55	50	244/302/352	109	281	9	22	17%	7%	86	+0.3	229/285/325	96	282	8	16	21%	7%	73	-0.6	212/260/280	69	271	6	19	23%	6%	53	-0.7
✕Andrew Stevenson 2023 · MLB	29	51→60	46→50	59→60	41	247/296/383	136	320	12	24	26%	5%	91	+0.6	247/301/376	129	321	12	36	25%	6%	91	+0.7	253/310/378	125	329	11	48	25%	6%	90	+0.4
✕Matt Young 2012 · MLB	29	54→60	37→40	56→60	53	254/320/338	84	294	3	25	14%	8%	89	+0.5	226/301/301	75	281	4	22	19%	9%	74	-0.5	211/295/270	59	269	3	26	21%	10%	63	-0.8

Bryan Torres

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps