Jose Perez

SS Bowling Green Hot Rods

Age 23 S/R 5'9" / 170 lbs A+ HR -6%H +4% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#2072ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A/ROKTB	223	.271/.441/.394	2	5	80	—	.214/.338/.310
2025	21	A+/ATB	223	.175/.336/.226	1	2	42	—	.165/.286/.213
2026	22	A+TB	78	.119/.244/.149	0	0	-20	—	.085/.167/.099
2027PROJMLE	23	MLBTB	189	.194/.288/.257	1	3	59	0.0
2028PROJ30% MLB	24	MLBTB	32	.203/.295/.279	0	0	66	-0.0
2029PROJ45% MLB	25	MLBTB	77	.207/.298/.295	1	1	71	0.0

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

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Chase%80

BB%71

K%24

Whiff%13

Speed13

Z-Con%11

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 55 proj PA

wRC+†59

AVG/OBP/SLG.193 / .285 / .254

PA55

HR0

K%24

BB%10

ISO62

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$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)
2021	17	ROK	DSL Rays 2	—	123	102	21	4	2	1	18	27	2	2	5	206	336	314	650	108	267	22	15	302	26	—	—	—	—	—	—
2022	18	ROK	DSL Tampa Bay	—	110	86	18	0	1	0	19	12	2	5	4	209	364	233	597	23	237	11	17	288	31	—	—	—	—	—	—
2023	19	ROK	DSL Rays	—	171	119	33	5	7	3	42	32	5	3	4	277	482	513	995	235	345	19	25	428	82	—	—	—	—	—	—
2024	20	A	Charleston RiverDogs	—	85	65	15	2	0	0	18	14	1	2	1	231	405	262	666	31	294	16	21	325	63	—	—	—	—	—	—
2024	20	ROK	FCL Rays	—	138	105	31	7	3	2	29	22	4	3	0	295	464	476	940	181	358	16	21	423	91	—	—	—	—	—	—
2025	21	A+	Bowling Green Hot Rods	—	15	11	2	0	0	0	2	5	1	0	1	182	357	182	539		286	33	13	263	38	—	—	—	—	—	—
2025	21	A	Charleston RiverDogs	—	208	166	29	4	1	1	35	30	5	2	0	175	335	229	564	54	207	14	17	278	42	—	—	—	—	—	—
2026	22	A+	Bowling Green Hot Rods	—	78	67	8	2	0	0	11	23	0	0	0	119	244	149	393	30	182	29	14	201	-20	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Rays 2	—	123	107	14	2	1	1	13	32	2	2	5	131	238	196	434	65	181	26	11	207	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	110	91	14	0	1	0	14	15	2	5	4	154	280	176	456	22	169	14	13	214	31	—	—	—	—	—	—
2023	19	ROK MLE	DSL Rays	—	171	131	22	3	4	2	30	40	5	3	4	168	343	298	641	130	207	23	18	290	82	—	—	—	—	—	—
2024	20	A MLE	Charleston RiverDogs	—	85	71	14	2	0	0	12	19	1	2	1	197	321	225	547	28	271	22	14	262	63	—	—	—	—	—	—
2024	20	ROK MLE	FCL Rays	—	138	116	26	6	2	2	18	32	4	3	0	224	348	362	710	138	285	23	13	303	91	—	—	—	—	—	—
2025	21	A+ MLE	Bowling Green Hot Rods	—	15	12	2	0	0	0	1	6	1	0	1	167	286	167	452		257	40	7	225	38	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	208	176	29	4	1	1	25	41	5	2	0	165	286	216	502	51	201	20	12	231	42	—	—	—	—	—	—
2026	22	A+ MLE	Bowling Green Hot Rods	—	78	71	6	1	0	0	7	30	0	0	0	85	167	99	265	14	156	38	9	138	-20	—	—	—	—	—	—
2021	17	ROK MLE	DSL Rays 2	—	123	107	14	2	1	1	13	32	2	2	5	131	238	196	434	65	173	26	11	207	26	—	—	—	—	—	—
2021	17	ROK RAW	DSL Rays 2	—	123	102	21	4	2	1	18	27	2	2	5	206	336	314	650	108	267	22	15	302	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	110	91	14	0	1	0	14	15	2	5	4	154	280	176	456	22	179	14	13	214	31	—	—	—	—	—	—
2022	18	ROK RAW	DSL Tampa Bay	—	110	86	18	0	1	0	19	12	2	5	4	209	364	233	597	23	237	11	17	288	31	—	—	—	—	—	—
2023	19	ROK MLE	DSL Rays	—	171	131	22	3	4	2	30	40	5	3	4	168	343	298	641	130	217	23	18	290	82	—	—	—	—	—	—
2023	19	ROK RAW	DSL Rays	—	171	119	33	5	7	3	42	32	5	3	4	277	482	513	995	235	345	19	25	428	82	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	223	187	41	8	2	2	30	52	5	5	1	219	342	316	658	96	293	23	13	287	81	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	223	170	46	9	3	2	47	36	5	5	1	271	441	394	836	124	333	16	21	386	81	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	188	31	4	1	1	26	47	6	2	1	165	286	213	499	48	213	21	12	231	42	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	223	177	31	4	1	1	37	35	6	2	1	175	336	226	562	51	211	16	17	277	42	—	—	—	—	—	—
2026	22	A+ MLE	Bowling Green Hot Rods	—	78	71	6	1	0	0	7	30	0	0	0	85	167	99	265	14	146	38	9	138	-20	—	—	—	—	—	—
2026	22	A+ RAW	Bowling Green Hot Rods	—	78	67	8	2	0	0	11	23	0	0	0	119	244	149	393	30	182	29	14	201	-20	—	—	—	—	—	—
2021	17	ROK MLE	DSL Rays 2	—	123	107	14	2	1	1	13	32	2	2	5	131	238	196	434	65	181	26	11	207	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	110	93	14	0	1	0	14	15	2	5	4	151	280	172	452	22	169	14	13	214	31	—	—	—	—	—	—
2023	19	ROK MLE	DSL Rays	—	171	134	22	3	4	2	30	40	5	3	4	164	343	291	634	127	207	23	18	290	82	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	223	186	41	8	2	2	30	52	5	5	1	220	342	317	660	97	280	23	13	287	81	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	189	31	4	1	1	26	47	6	2	1	164	286	212	498	48	205	21	12	231	42	—	—	—	—	—	—
2026	22	A+ MLE	Bowling Green Hot Rods	—	78	71	6	1	0	0	7	30	0	0	0	85	167	99	265	14	156	38	9	138	-20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	2 teams	—	223	186	41	8	2	2	30	52	5	5	1	220	342	317	660	97	280	23	13	287	81	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	223	189	31	4	1	1	26	47	6	2	1	164	286	212	498	48	205	21	12	231	42	—	—	—	—	—	—
2026	22	A+ MLE	Bowling Green Hot Rods	—	78	71	6	1	0	0	7	30	0	0	0	85	167	99	265	14	156	38	9	138	-20	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	TB	0%	189	165	33	7	1	1	20	46	2	3	1	194	288	257	544	62	262	24	11	255	59	-9	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	TB	30%	108	95	20	4	1	1	11	26	1	2	0	201	293	278	571	77	264	24	10	266	66	-4	+0	+0	+1	+2	-0.0
2029	25	MLB MLE	TB	45%	169	148	31	6	1	2	17	40	2	2	1	205	297	294	590	89	266	24	10	273	71	-6	+0	+0	+2	+4	-0.0
2030	26	MLB MLE	TB	54%	229	201	42	8	1	3	23	54	3	3	1	208	299	305	604	97	267	24	10	278	74	-7	+0	+0	+2	+5	0.1
2031	27	MLB MLE	TB	58%	267	235	50	10	1	4	27	64	3	3	1	209	299	308	607	99	268	24	10	279	75	-8	+0	+0	+3	+6	0.1
2032	28	MLB MLE	TB	61%	291	257	54	11	1	4	29	70	3	3	1	209	298	309	607	99	269	24	10	278	75	-9	+0	-1	+3	+6	0.0
2033	29	MLB MLE	TB	62%	298	263	54	11	1	4	30	72	3	3	1	207	295	303	598	95	268	24	10	275	72	-10	+0	-1	+3	+6	-0.1
2028	24	MLB CTX	TB	30%	32	29	5	1	0	0	3	8	0	0	0	203	295	279	574	76	267	25	9	267	66	-1	+0	+0	+0	+1	-0.0
2029	25	MLB CTX	TB	45%	77	68	14	3	0	1	8	18	1	1	0	207	298	295	593	87	269	23	10	274	71	-3	+0	+0	+1	+2	0.0
2030	26	MLB CTX	TB	54%	124	109	23	4	1	2	13	30	1	2	0	210	300	305	606	95	270	24	10	279	74	-4	+0	+0	+1	+3	0.1
2031	27	MLB CTX	TB	58%	156	137	30	6	1	2	16	37	2	2	1	211	301	308	609	97	271	24	10	280	75	-5	+0	+0	+2	+3	0.0
2032	28	MLB CTX	TB	61%	177	155	32	6	1	2	18	42	2	2	1	211	300	309	609	97	272	24	10	279	75	-5	+0	-0	+2	+4	-0.0
2033	29	MLB CTX	TB	62%	185	162	34	7	1	2	19	45	2	2	1	209	297	303	600	94	271	24	10	276	72	-6	+0	-1	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	751	660	138	27	4	9	77	180	8	9	3	209	299	303	602	94	272	24	10	277	64	-24	+1	-1	+8	+16	-0.0
/ 162G	—	A+C		—	650	571	119	23	3	8	67	156	7	8	3	208	299	301	600	93	271	24	10	277	64	-21	+1	-1	+7	+14	-0.0
Career	—	MLE		—	2345	2022	388	70	15	24	263	555	36	34	20	192	296	277	573	85	250	24	11	262	64	-47	+1	-2	+15	+31	-0.2
/ 162G	—	MLE		—	650	560	107	19	4	7	73	154	10	9	6	191	295	277	572	86	248	24	11	262	64	-21	+1	-1	+7	+14	-0.1

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 A+Bowling Green Hot Rods · 78 PAwOBA .197 → .138 (−59)K% 29.5% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.49%	÷1.000	×1.310	—	—	38.63%
BB% (unintentional) /PA	14.10%	÷1.000	×0.600	—	×1.012	8.56%
HBP% /PA	0.00%	—	×0.770	—	×1.012	0.00%
Singles /BIP	13.64%	÷1.000	×0.870	×0.999	×1.012	11.99%
Doubles /BIP	4.55%	÷1.000	×0.780	×0.999	×1.012	3.58%
Triples /BIP	0.00%	÷1.000	×0.850	×0.999	×1.012	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×1.012	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .197 → .138; ISO .030 → .022; BABIP .182 → .156. 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 ACharleston RiverDogs · 208 PAwOBA .272 → .231 (−41)K% 14.4% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.42%	÷1.006	×1.360	—	—	19.51%
BB% (unintentional) /PA	16.83%	÷0.985	×0.690	—	×1.015	11.97%
HBP% /PA	2.40%	—	×0.780	—	×1.015	1.90%
Singles /BIP	16.91%	÷1.013	×0.920	×1.047	×1.015	16.33%
Doubles /BIP	2.94%	÷0.850	×0.830	×1.047	×1.015	3.05%
Triples /BIP	0.74%	÷1.121	×0.910	×1.047	×1.015	0.63%
Home runs /BIP	0.74%	÷1.159	×0.800	—	×1.015	0.52%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — 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 ×1.047.

Result: wOBA .272 → .231; ISO .054 → .049; BABIP .207 → .201. 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 A+Bowling Green Hot Rods · 15 PAwOBA .276 → .225 (−50)K% 33.3% → 42.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.023	×1.310	—	—	42.68%
BB% (unintentional) /PA	13.33%	÷0.965	×0.600	—	×1.027	8.51%
HBP% /PA	6.67%	—	×0.770	—	×1.027	5.27%
Singles /BIP	33.33%	÷1.005	×0.870	—	×1.027	29.64%
Doubles /BIP	0.00%	÷1.066	×0.780	—	×1.027	0.00%
Triples /BIP	0.00%	÷0.996	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷0.930	×0.880	—	×1.027	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 86, 1B 101, 2B 113, 3B 99, K 105, BB 93 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .276 → .225; ISO .000 → .000; BABIP .286 → .257. 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 ROKFCL Rays · 138 PAwOBA .413 → .303 (−110)K% 15.9% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.94%	÷0.980	×1.440	—	—	23.44%
BB% (unintentional) /PA	21.01%	÷1.024	×0.620	—	×0.995	12.65%
HBP% /PA	2.90%	—	×0.720	—	×0.995	2.08%
Singles /BIP	22.89%	÷1.024	×0.820	×1.041	×0.995	18.99%
Doubles /BIP	8.43%	÷0.941	×0.720	×1.041	×0.995	6.68%
Triples /BIP	3.61%	÷1.150	×0.720	×1.041	×0.995	2.34%
Home runs /BIP	2.41%	÷1.002	×0.780	—	×0.995	1.87%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 105, 2B 88, 3B 130, K 96, BB 105 — 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 ×1.041.

Result: wOBA .413 → .303; ISO .181 → .138; BABIP .358 → .285. 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 ACharleston RiverDogs · 85 PAwOBA .318 → .262 (−57)K% 16.5% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.47%	÷0.985	×1.360	—	—	22.73%
BB% (unintentional) /PA	21.18%	÷1.047	×0.690	—	×1.030	14.38%
HBP% /PA	1.18%	—	×0.780	—	×1.030	0.95%
Singles /BIP	25.49%	÷1.071	×0.920	×1.050	×1.030	23.68%
Doubles /BIP	3.92%	÷1.017	×0.830	×1.050	×1.030	3.46%
Triples /BIP	0.00%	÷1.099	×0.910	×1.050	×1.030	0.00%
Home runs /BIP	0.00%	÷0.824	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 65, 1B 114, 2B 103, 3B 120, K 97, BB 109 — 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 .318 → .262; ISO .031 → .028; BABIP .294 → .271. 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 Rays · 171 PAwOBA .426 → .290 (−137)K% 18.7% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.71%	÷0.987	×1.220	—	—	23.14%
BB% (unintentional) /PA	24.56%	÷0.984	×0.700	—	×0.995	17.38%
HBP% /PA	2.92%	—	×0.700	—	×0.995	2.04%
Singles /BIP	20.69%	÷1.005	×0.680	×0.950	×0.995	13.24%
Doubles /BIP	5.75%	÷0.993	×0.600	×0.950	×0.995	3.28%
Triples /BIP	8.05%	÷1.035	×0.600	×0.950	×0.995	4.41%
Home runs /BIP	3.45%	÷0.938	×0.470	—	×0.995	1.72%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 101, 2B 99, 3B 107, K 97, BB 97 — 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 ×0.950.

Result: wOBA .426 → .290; ISO .235 → .142; BABIP .345 → .207. 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).

2022 DSLDSL Tampa Bay · 110 PAwOBA .288 → .214 (−74)K% 10.9% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷0.976	×1.220	—	—	13.63%
BB% (unintentional) /PA	17.27%	÷0.985	×0.700	—	×1.008	12.37%
HBP% /PA	1.82%	—	×0.700	—	×1.008	1.28%
Singles /BIP	22.97%	÷0.981	×0.680	×1.024	×1.008	16.43%
Doubles /BIP	0.00%	÷0.973	×0.600	×1.024	×1.008	0.00%
Triples /BIP	1.35%	÷0.919	×0.600	×1.024	×1.008	0.91%
Home runs /BIP	0.00%	÷1.273	×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): HR 155, 1B 96, 2B 95, 3B 84, K 95, BB 97 — 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 ×1.024.

Result: wOBA .288 → .214; ISO .023 → .017; BABIP .237 → .169. 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 DSLDSL Rays 2 · 123 PAwOBA .294 → .207 (−88)K% 22.0% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷1.032	×1.220	—	—	25.94%
BB% (unintentional) /PA	13.82%	÷0.971	×0.700	—	×1.022	10.18%
HBP% /PA	1.63%	—	×0.700	—	×1.022	1.16%
Singles /BIP	18.67%	÷1.011	×0.680	×1.034	×1.022	13.28%
Doubles /BIP	5.33%	÷1.102	×0.600	×1.034	×1.022	3.07%
Triples /BIP	2.67%	÷0.904	×0.600	×1.034	×1.022	1.87%
Home runs /BIP	1.33%	÷0.890	×0.470	—	×1.022	0.72%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 102, 2B 120, 3B 81, K 106, BB 94 — 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 ×1.034.

Result: wOBA .294 → .207; ISO .108 → .068; BABIP .267 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
	/162	664	18	6	227	293	367	+2.4	+3.0	1.1	pk7: 4
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	/162	664	9	5	217*	284*	324*	+4.2	+14.4	0.8	pk7: 4
#3Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
#3Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	/162	664	3	3	229*	288*	313*	+3.6	+9.1	0.9	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.1	752	10	9	209	295	305	+8	+9	0.5	0.5
	/162	664	9	8	209	295	305	+7.1	+7.9	0.5	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	/162	664	4	9	220*	280*	301*	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
	/162	664	7	14	231	275	323	+4.9	-2.1	-0.4	pk7: -1

Jose Perez

Career Stats + Projections

How the minor-league lines were translated

Career Comps