Angel Genao

SS Columbus Clippers

Age 23 S/R 5'11" / 150 lbs AAA Svc 0.314 · Ctrl thru 2032

Overview

AAA40-MANPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A+/A2 orgs	496	.330/.384/.499	10	25	118	—	.304/.346/.454
2025	21	AA/ROK/INTL2 orgs	467	.275/.346/.383	5	10	86	—	.245/.302/.347
2026	22	AAA/AACLE	419	.300/.407/.474	13	11	122	—	.292/.373/.439
2026	22	MLBCLE	139	.213/.281/.291	2	1	64	0.3
2027PROJ49% MLB	23	MLBCLE	76	.249/.323/.367	1	2	96	0.3
2028PROJ61% MLB	24	MLBCLE	330	.252/.325/.376	7	7	99	1.3
2029PROJ66% MLB	25	MLBCLE	367	.252/.326/.380	8	7	101	1.4

Last 3 seasons WAR 0.3 · Next 3 projected WAR 3.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.314First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$6M2031Arb-2$10M2032Arb-3$14M

Skills · percentileMiLB Statcast 2026 AAA

Z-Con%88

Whiff%87

K%84

Max EV80

BB%67

Chase%62

Form.239/.311/.343 ▼ rolling true talent (60d window) · proj .249/.320/.367

CompsBrayan Rocchio (age 23) · Jorbit Vivas (age 23) · Nick Franklin (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†96

AVG/OBP/SLG.249 / .323 / .367

PA76

HR1

K%17

BB%9

BABIP288

ISO87

MLB%49%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$25M ctrl surplus

Tools · Recent Form · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

350.239

POWER

Barrel%

234.7

Avg EV

7590.8

SPEED

Sprint

7128.3

Recent Formrolling true talent ⓘ

K%19%▼20% over 66 PA (60d) · proj 18%

BB%9%·9% over 66 PA (60d) · proj 9%

ISO.104▼.067 over 60 AB (60d) · proj .119

HR/BB2.5%·2.1% over 47 BBE (60d) · proj 2.7%

BABIP.280▼.152 over 46 BIP (60d) · proj .288

SLASH.239/.311/.343▼proj .249/.320/.367

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

Status Pre-Arb

MLB Debut 2026

Service 0.314 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.2	$1.0M	+$0.2M
2028	Pre-Arb	$0.8M	+1.3	$10M	+$9M
2029	Pre-Arb	$0.8M	+1.4	$10M	+$9M
2030	Arb-1	$6M	+1.5	$10M	+$5M
2031	Arb-2	$10M	+1.4	$8M	+$2M
2032	Arb-3	$14M	+1.3	$7M	+$0.0M (cut)
Totals		$19M		$45M	+$25M

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 Indians Blue	—	192	151	40	4	4	1	39	29	2	16	0	265	422	364	786	99	322	15	20	367	55	—	—	—	—	—	—
2022	18	A	Lynchburg Hillcats	—	33	28	5	1	0	0	4	5	1	0	1	179	303	214	517	36	217	15	12	255	32	—	—	—	—	—	—
2022	18	ROK	ACL Guardians	—	171	149	48	6	1	2	16	40	3	6	3	322	399	416	815	94	422	23	9	363	61	—	—	—	—	—	—
2023	19	A	Lynchburg Hillcats	—	316	278	73	20	1	4	34	49	2	6	3	263	347	385	732	122	304	16	11	330	78	—	—	—	—	—	—
2024	20	A+	Lake County Captains	—	300	270	87	24	1	4	24	49	2	13	2	322	382	463	845	141	376	16	8	372	109	—	—	—	—	—	—
2024	20	A	Lynchburg Hillcats	—	196	179	61	14	3	6	14	28	0	12	3	341	389	553	942	212	372	14	7	405	133	—	—	—	—	—	—
2025	21	AA	Akron RubberDucks	—	341	309	80	17	4	2	29	54	1	6	0	259	324	359	684	100	306	16	9	308	76	—	—	—	—	—	—
2025	21	ROK	ACL Guardians	—	32	26	8	0	0	3	6	4	0	0	1	308	438	654	1.091	346	263	12	19	467	91	—	—	—	—	—	—
2025	21	INTL	Aguilas Cibaenas	—	94	83	27	5	0	0	9	11	0	4	2	325	391	386	777	60	370	12	10	347	121	—	—	—	—	—	—
2026	22	MLB	Cleveland Guardians	—	139	127	27	4	0	2	11	21	1	1	0	213	281	291	572	79	240	15	8	264	64	-6	+0	+0	+6	+3	0.3
2026	22	AAA	Columbus Clippers	—	309	265	82	17	1	10	38	48	2	9	4	309	400	494	894	185	341	16	12	392	123	—	—	—	—	—	—
2026	22	AA	Akron RubberDucks	—	110	85	23	3	0	3	22	20	1	2	0	271	426	412	838	141	312	18	20	378	120	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	139	127	27	4	0	2	11	21	1	1	0	213	281	291	572	79	240	15	8	264	65	-6	+0	+0	+6	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Indians Blue	—	192	162	28	3	2	1	28	34	2	16	0	173	302	235	537	62	213	18	15	250	55	—	—	—	—	—	—
2022	18	A MLE	Lynchburg Hillcats	—	33	29	5	1	0	0	3	7	1	0	1	172	273	207	480	34	210	21	9	215	32	—	—	—	—	—	—
2022	18	ROK MLE	ACL Guardians	—	171	155	37	4	1	2	10	57	3	6	3	239	298	316	614	77	332	33	6	258	61	—	—	—	—	—	—
2023	19	A MLE	Lynchburg Hillcats	—	316	288	68	18	1	3	24	68	2	6	3	236	299	337	636	101	296	22	8	283	78	—	—	—	—	—	—
2024	20	A+ MLE	Lake County Captains	—	300	276	83	21	1	3	18	61	2	13	2	301	348	417	765	116	361	20	6	330	109	—	—	—	—	—	—
2024	20	A MLE	Lynchburg Hillcats	—	196	184	57	13	3	6	9	39	0	12	3	310	342	511	853	201	354	20	5	365	133	—	—	—	—	—	—
2025	21	AA MLE	Akron RubberDucks	—	341	315	78	15	4	2	23	70	1	6	0	248	301	340	641	92	306	21	7	280	76	—	—	—	—	—	—
2025	21	ROK MLE	ACL Guardians	—	32	28	6	0	0	2	4	6	0	0	1	214	312	429	741	214	202	19	12	303	91	—	—	—	—	—	—
2026	22	MLB MLE	Cleveland Guardians	—	139	127	27	4	0	2	11	21	1	1	0	213	281	291	572	79	240	15	8	263	64	-6	+0	+0	+6	+3	0.3
2026	22	AAA MLE	Columbus Clippers	—	309	275	82	16	1	8	28	57	2	9	4	298	367	451	818	153	337	18	9	350	123	—	—	—	—	—	—
2026	22	AA MLE	Akron RubberDucks	—	110	91	25	3	0	3	16	24	1	2	0	275	389	407	795	132	324	22	15	346	120	—	—	—	—	—	—
2021	17	ROK MLE	DSL Indians Blue	—	192	162	28	3	2	1	28	34	2	16	0	173	302	235	537	62	213	18	15	250	55	—	—	—	—	—	—
2021	17	ROK RAW	DSL Indians Blue	—	192	151	40	4	4	1	39	29	2	16	0	265	422	364	786	99	322	15	20	367	55	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	204	184	41	5	1	2	13	64	4	6	4	223	289	293	582	71	325	31	6	251	56	—	—	—	—	—	—
2022	18	ROK RAW	2 teams	—	204	177	53	7	1	2	20	45	4	6	4	299	383	384	767	85	386	22	10	346	56	—	—	—	—	—	—
2023	19	A MLE	Lynchburg Hillcats	—	316	288	68	18	1	3	24	68	2	6	3	236	299	337	636	101	297	22	8	283	78	—	—	—	—	—	—
2023	19	A RAW	Lynchburg Hillcats	—	316	278	73	20	1	4	34	49	2	6	3	263	347	385	732	122	304	16	11	330	78	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	496	460	140	34	4	9	27	100	2	25	5	304	346	454	800	150	366	20	5	344	119	—	—	—	—	—	—
2024	20	A+ RAW	2 teams	—	496	449	148	38	4	10	38	77	2	25	5	330	384	499	883	169	374	16	8	385	119	—	—	—	—	—	—
2025	21	AA MLE	3 teams	—	467	429	104	19	5	4	33	94	1	10	3	242	298	338	636	96	299	20	7	282	77	—	—	—	—	—	—
2025	21	AA RAW	3 teams	—	467	418	115	22	4	5	44	69	1	10	3	275	346	383	728	108	317	15	9	327	77	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	558	493	133	23	1	12	55	103	4	12	4	270	348	394	741	124	315	18	10	328	108	—	—	—	—	—	—
2026	22	AAA RAW	3 teams	—	558	477	132	24	1	15	71	89	4	12	4	277	375	426	801	149	309	16	13	357	108	—	—	—	—	—	—
2021	17	ROK MLE	DSL Indians Blue	—	192	160	28	3	2	1	28	34	2	16	0	175	302	237	540	62	213	18	15	250	55	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	204	185	41	5	1	2	13	64	4	6	4	222	289	292	580	70	312	31	6	251	56	—	—	—	—	—	—
2023	19	A MLE	Lynchburg Hillcats	—	316	287	68	18	1	3	24	68	2	6	3	237	299	338	637	101	296	22	8	283	78	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	496	464	140	34	4	9	27	100	2	25	5	302	346	450	796	149	358	20	5	344	119	—	—	—	—	—	—
2025	21	AA MLE	3 teams	—	467	430	104	19	5	4	33	94	1	10	3	242	298	337	635	95	297	20	7	282	77	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	558	494	133	23	1	12	55	103	4	12	4	269	348	393	741	123	310	18	10	328	108	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A+ MLE	2 teams	—	496	464	140	34	4	9	27	100	2	25	5	302	346	450	796	149	358	20	5	344	119	—	—	—	—	—	—
2025	21	AA MLE	3 teams	—	467	430	104	19	5	4	33	94	1	10	3	242	298	337	635	95	297	20	7	282	77	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	558	494	133	23	1	12	55	103	4	12	4	269	348	393	741	123	310	18	10	328	108	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CLE	49%	594	531	132	23	2	12	54	105	4	12	3	249	322	367	690	118	288	18	9	310	96	-3	+1	+2	+6	+13	0.5
▸ 2027 — real world (MLB)
2027	23	MLB CTX	CLE	49%	76	69	16	3	0	1	7	13	0	2	0	249	323	367	690	118	288	17	9	310	96	-0	+0	+0	+1	+2	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CLE	61%	545	486	122	21	2	12	50	97	4	11	2	251	325	377	702	125	289	18	9	315	99	-0	+1	+2	+6	+12	2.1
2029	25	MLB MLE	CLE	66%	555	495	125	22	2	13	51	99	4	11	2	252	326	381	707	129	289	18	9	317	101	+0	+1	+2	+6	+12	2.2
2030	26	MLB MLE	CLE	69%	555	495	125	22	2	13	51	100	4	11	2	251	326	382	708	131	289	18	9	317	101	+1	+1	+2	+6	+12	2.2
2031	27	MLB MLE	CLE	68%	548	489	123	22	2	13	50	101	4	10	2	250	324	381	705	131	288	18	9	316	100	+0	+1	+2	+6	+12	2.1
2032	28	MLB MLE	CLE	68%	538	480	119	21	2	12	49	101	4	8	2	248	322	377	699	129	288	19	9	314	98	-1	+1	+1	+6	+12	1.9
2033	29	MLB MLE	CLE	67%	523	467	115	20	2	12	48	100	3	6	2	245	319	370	690	125	286	19	9	310	96	-3	+0	+1	+6	+11	1.6
2034	30	MLB MLE	CLE	66%	509	455	111	19	2	11	46	99	3	4	1	242	315	362	678	120	284	19	9	305	93	-5	+0	-0	+5	+11	1.2
2035	31	MLB MLE	CLE	65%	490	440	104	18	1	10	44	97	3	0	1	238	310	352	662	114	281	20	9	299	88	-7	-0	-1	+5	+11	0.8
2036	32	MLB MLE	CLE	65%	468	422	97	16	1	9	41	95	2	0	1	232	304	339	643	107	277	20	9	291	83	-10	-0	-2	+5	+10	0.4
2028	24	MLB CTX	CLE	61%	330	295	74	13	1	7	30	58	2	7	1	252	325	376	702	124	289	18	9	315	99	-0	+1	+1	+4	+7	1.3
2029	25	MLB CTX	CLE	66%	367	328	82	15	1	8	34	66	2	7	2	252	326	380	707	128	289	18	9	317	101	+0	+1	+1	+4	+8	1.4
2030	26	MLB CTX	CLE	69%	381	340	85	15	1	9	35	69	3	7	2	252	326	381	707	130	289	18	9	317	101	+0	+1	+1	+4	+8	1.5
2031	27	MLB CTX	CLE	68%	374	334	84	15	1	9	34	69	3	7	2	250	325	380	705	130	289	18	9	316	100	+0	+1	+1	+4	+8	1.4
2032	28	MLB CTX	CLE	68%	367	329	81	15	1	8	33	69	2	5	1	248	322	377	699	128	288	19	9	314	98	-1	+1	+1	+4	+8	1.3
2033	29	MLB CTX	CLE	67%	348	311	77	14	1	8	32	67	2	4	1	246	320	370	690	125	287	19	9	310	96	-2	+0	+0	+4	+8	1.1
2034	30	MLB CTX	CLE	66%	334	299	73	13	1	7	30	65	2	2	1	242	316	362	678	120	285	19	9	305	93	-3	+0	-0	+4	+7	0.8
2035	31	MLB CTX	CLE	65%	319	286	68	12	1	6	28	63	2	0	1	238	311	352	663	114	282	20	9	299	88	-4	-0	-1	+3	+7	0.5
2036	32	MLB CTX	CLE	65%	303	271	64	11	1	6	27	62	2	0	0	233	304	339	643	106	278	20	9	291	83	-6	+0	-1	+3	+7	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3262	2920	715	127	9	70	294	609	21	40	11	245	318	366	685	122	286	19	9	308	94	-21	+4	+5	+39	+71	9.9
/ 162G	—	A+C		—	650	582	142	25	2	14	59	121	4	8	2	244	318	366	684	122	284	19	9	308	94	-4	+1	+1	+8	+14	2.0
Career	—	MLE		—	7119	6384	1590	289	31	139	624	1379	47	139	35	249	320	369	690	120	295	19	9	307	94	-31	+7	+8	+58	+109	15.4
/ 162G	—	MLE		—	650	583	145	26	3	13	57	126	4	13	3	249	320	370	690	122	295	19	9	307	94	-4	+1	+1	+8	+14	2.0

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 AAAColumbus Clippers · 309 PAwOBA .387 → .350 (−36)K% 15.5% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.53%	÷1.000	×1.200	—	—	18.64%
BB% (unintentional) /PA	12.30%	÷1.000	×0.690	—	×1.050	8.91%
HBP% /PA	0.65%	—	×0.940	—	×1.050	0.64%
Singles /BIP	24.88%	÷1.000	×0.930	×1.050	×1.050	25.52%
Doubles /BIP	7.83%	÷1.000	×0.830	×1.050	×1.050	7.17%
Triples /BIP	0.46%	÷1.000	×0.970	×1.050	×1.050	0.49%
Home runs /BIP	4.61%	÷1.000	×0.700	—	×1.050	3.39%

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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .387 → .350; ISO .185 → .153; BABIP .341 → .337. 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 AAAkron RubberDucks · 110 PAwOBA .376 → .346 (−30)K% 18.2% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.220	—	—	22.18%
BB% (unintentional) /PA	20.00%	÷1.000	×0.700	—	×1.042	14.59%
HBP% /PA	0.91%	—	×0.850	—	×1.042	0.81%
Singles /BIP	26.15%	÷1.000	×0.970	×1.050	×1.042	27.76%
Doubles /BIP	4.62%	÷1.000	×0.860	×1.050	×1.042	4.34%
Triples /BIP	0.00%	÷1.000	×0.950	×1.050	×1.042	0.00%
Home runs /BIP	4.62%	÷1.000	×0.780	—	×1.042	3.75%

Factors used: league row EL. 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 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .376 → .346; ISO .141 → .126; BABIP .312 → .324. 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 AAAkron RubberDucks · 341 PAwOBA .302 → .280 (−22)K% 15.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.84%	÷0.948	×1.220	—	—	20.38%
BB% (unintentional) /PA	8.50%	÷0.953	×0.700	—	×1.050	6.56%
HBP% /PA	0.29%	—	×0.850	—	×1.050	0.26%
Singles /BIP	22.35%	÷1.004	×0.970	×1.005	×1.050	22.79%
Doubles /BIP	6.67%	÷0.986	×0.860	×1.005	×1.050	6.14%
Triples /BIP	1.57%	÷0.935	×0.950	×1.005	×1.050	1.68%
Home runs /BIP	0.78%	÷0.926	×0.780	—	×1.050	0.69%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 101, 2B 97, 3B 87, K 90, BB 91 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .302 → .280; ISO .100 → .093; BABIP .306 → .306. 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 ROKACL Guardians · 32 PAwOBA .455 → .303 (−152)K% 12.5% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.041	×1.440	—	—	17.30%
BB% (unintentional) /PA	18.75%	÷1.018	×0.620	—	×0.985	11.24%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	22.73%	÷0.985	×0.820	—	×0.985	18.63%
Doubles /BIP	0.00%	÷0.982	×0.720	—	×0.985	0.00%
Triples /BIP	0.00%	÷1.075	×0.720	—	×0.985	0.00%
Home runs /BIP	13.64%	÷1.388	×0.780	—	×0.985	7.55%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 178, 1B 97, 2B 96, 3B 115, K 108, BB 104 — 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 .455 → .303; ISO .346 → .199; BABIP .263 → .202. 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 A+Lake County Captains · 300 PAwOBA .367 → .330 (−36)K% 16.3% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.33%	÷1.023	×1.270	—	—	20.27%
BB% (unintentional) /PA	8.00%	÷0.999	×0.710	—	×1.042	5.92%
HBP% /PA	0.67%	—	×0.790	—	×1.042	0.55%
Singles /BIP	26.24%	÷0.995	×0.920	×1.037	×1.042	26.22%
Doubles /BIP	10.86%	÷0.978	×0.810	×1.037	×1.042	9.72%
Triples /BIP	0.45%	÷1.023	×0.850	×1.037	×1.042	0.41%
Home runs /BIP	1.81%	÷1.190	×0.800	—	×1.042	1.27%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 138, 1B 99, 2B 96, 3B 105, K 105, BB 100 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .367 → .330; ISO .141 → .117; BABIP .376 → .361. 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 ALynchburg Hillcats · 196 PAwOBA .399 → .365 (−34)K% 14.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.985	×1.360	—	—	19.72%
BB% (unintentional) /PA	6.63%	÷1.041	×0.690	—	×1.030	4.53%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	25.17%	÷1.056	×0.920	×1.050	×1.030	23.71%
Doubles /BIP	9.27%	÷0.941	×0.830	×1.050	×1.030	8.84%
Triples /BIP	1.99%	÷0.906	×0.910	×1.050	×1.030	2.16%
Home runs /BIP	3.97%	÷0.844	×0.800	—	×1.030	3.88%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 111, 2B 88, 3B 81, K 97, BB 108 — 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 .399 → .365; ISO .212 → .206; BABIP .372 → .354. 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 ALynchburg Hillcats · 316 PAwOBA .324 → .283 (−40)K% 15.5% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.51%	÷0.981	×1.360	—	—	21.50%
BB% (unintentional) /PA	10.76%	÷1.020	×0.690	—	×1.045	7.61%
HBP% /PA	0.63%	—	×0.780	—	×1.045	0.52%
Singles /BIP	20.96%	÷0.992	×0.920	×1.023	×1.045	20.78%
Doubles /BIP	8.73%	÷0.947	×0.830	×1.023	×1.045	8.19%
Triples /BIP	0.44%	÷0.982	×0.910	×1.023	×1.045	0.43%
Home runs /BIP	1.75%	÷1.017	×0.800	—	×1.045	1.44%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 98, 2B 89, 3B 96, K 96, BB 104 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .324 → .283; ISO .122 → .107; BABIP .304 → .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).

2022 ROKACL Guardians · 171 PAwOBA .358 → .258 (−100)K% 23.4% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.39%	÷1.019	×1.440	—	—	33.05%
BB% (unintentional) /PA	9.36%	÷1.013	×0.620	—	×1.022	5.85%
HBP% /PA	1.75%	—	×0.720	—	×1.022	1.29%
Singles /BIP	35.78%	÷0.998	×0.820	×0.963	×1.022	28.95%
Doubles /BIP	5.50%	÷1.076	×0.720	×0.963	×1.022	3.63%
Triples /BIP	0.92%	÷0.900	×0.720	×0.963	×1.022	0.72%
Home runs /BIP	1.83%	÷0.915	×0.780	—	×1.022	1.60%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 100, 2B 115, 3B 80, K 104, BB 103 — 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 ×0.963.

Result: wOBA .358 → .258; ISO .094 → .068; BABIP .422 → .332. 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
#1Scott Brosius'91-'01 * career totals — 11 seasons, 4,356 PA	6.6	4,356	141	57	245*	309*	410*	+6	+18	14.1	15.1
/162	664	21	9	+1.0	+2.8	2.1	pk7: 16
#2Dick Green'63-'74 * career totals — 10 seasons, 4,462 PA	6.7	4,462	80	26	246*	308*	382*	+16	+18	11.8	12.8
/162	664	12	4	+2.4	+2.7	1.8	pk7: 14
#3David Bell'95-'06 * career totals — 12 seasons, 5,380 PA	8.1	5,380	123	19	246*	307*	384*	+18	+25	11.3	12.1
/162	664	15	2	+2.3	+3.1	1.4	pk7: 13
#4Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.0	3,337	71	43	246	316	368	+13	+8	8.8	8.4
/162	664	14	9	+2.7	+1.7	1.7	pk7: 8
#6Casey McGeheelast yr '16 career totals — 7 seasons, 3,061 PA	4.6	3,061	67	7	258	318	386	+3	+7	8.3	8.3
/162	664	15	2	+0.7	+1.4	1.8	pk7: 8

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
Angel Genao (OGILVIE)	23	—	—	—	—	247/320/364	117	288	3	3	18%	9%	96	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brayan Rocchio 2024 · MLB	23	51→56	43→45	51→50	48	246/307/368	123	297	10	16	20%	7%	92	+0.7	231/300/353	122	273	11	16	19%	8%	86	+0.3	225/297/350	125	260	12	16	18%	7%	85	+0.2
✕Jorbit Vivas 2024 · AAA	23	51→57	44→45	52→50	53	247/330/364	117	274	10	11	14%	8%	100	+1.3	227/315/324	97	264	7	14	16%	9%	86	+0.3	220/313/305	85	258	6	13	16%	10%	79	-0.2
✕Nick Franklin 2014 · MLB	23	50→51	47→50	53→50	49	244/309/387	142	306	14	12	24%	8%	97	+1.1	231/295/371	140	294	15	13	25%	8%	88	+0.4	225/286/360	135	284	15	14	26%	7%	81	-0.0
●Luis Rengifo 2020 · MLB	23	50→58	44→55	50→55	50	244/313/372	128	298	10	16	21%	8%	95	+0.9	242/301/380	138	287	14	13	20%	7%	92	+0.7	274/324/432	159	308	18	16	17%	6%	114	+1.8
●Jemile Weeks 2010 · AA	23	50→60	44→45	52→55	49	243/308/363	119	293	12	12	21%	8%	91	+0.6	251/310/358	107	297	6	19	17%	7%	90	+0.6	255/325/347	92	308	3	20	17%	8%	91	+0.7
●Coco Crisp 2003 · MLB	23	50→59	44→50	53→65	53	242/304/370	128	272	9	14	15%	8%	91	+0.6	270/313/394	124	297	11	18	13%	6%	99	+1.2	281/327/425	144	307	14	21	13%	6%	113	+2.1
✕Ramon Santiago 2003 · MLB	23	49→52	45	52→50	46	238/304/366	128	281	12	16	20%	6%	91	+0.6	223/288/310	87	254	7	13	15%	6%	72	-0.7	256/332/354	98	297	10	3	16%	8%	98	+0.6
✕Ronny Cedeno 2006 · MLB	23	59→60	46→45	51→50	47	290/332/416	126	324	13	16	15%	5%	112	+2.2	263/298/377	114	311	11	11	18%	4%	89	+0.5	253/297/377	125	295	14	9	19%	5%	89	+0.3
✕Ke'Bryan Hayes 2020 · AAA	23	51→57	43→50	53→50	47	245/305/369	123	304	9	13	22%	7%	91	+0.6	254/314/393	139	316	13	14	22%	8%	100	+1.3	255/311/393	138	311	13	16	21%	7%	99	+1.0
●Luis Urías 2020 · MLB	23	51→61	47→55	47→45	50	248/327/387	140	308	14	6	23%	9%	104	+1.6	242/326/400	158	294	18	6	23%	9%	107	+1.8	239/331/399	160	283	19	4	21%	10%	109	+1.3
✕Leo Jiménez 2024 · AAA	23	49→52	42→45	49→45	48	234/321/342	108	294	9	9	22%	8%	92	+0.7	231/325/340	109	290	10	6	23%	8%	93	+0.8	223/330/323	99	283	10	3	22%	8%	91	+0.3
✕Jorge Barrosa 2024 · AAA	23	49→52	45	51→55	51	238/310/367	129	288	11	18	21%	9%	93	+0.8	231/298/349	118	295	10	14	23%	8%	84	+0.1	225/292/335	110	291	8	13	24%	8%	76	-0.2
●Geraldo Perdomo 2024 · MLB	24	45→55	40→45	52→55	57	214/309/308	94	261	8	15	20%	11%	80	-0.2	251/345/371	120	283	11	17	14%	12%	107	+1.8	258/359/382	124	284	11	19	13%	13%	115	+2.4
●Alejandro Kirk 2021 · MLB	22	52→57	46→50	49→40	55	253/327/392	139	286	12	5	16%	9%	105	+1.7	260/338/400	140	280	16	2	13%	10%	111	+2.1	263/347/394	131	277	16	0	11%	10%	113	+1.5
✕Russ Adams 2006 · MLB	25	52→53	45	54→45	56	253/321/389	136	267	12	12	11%	9%	101	+1.4	237/295/354	117	268	10	8	15%	7%	84	+0.1	227/284/340	113	262	11	7	17%	7%	74	-0.4
✕Blake Swihart 2016 · MLB	24	54	43→45	47→45	43	259/300/376	117	325	10	8	23%	6%	90	+0.6	227/285/325	98	300	8	9	25%	7%	73	-0.6	205/270/286	82	275	6	9	26%	8%	59	-0.6
✕Brooks Lee 2024 · AAA	23	50→51	46→50	44→45	49	248/305/388	140	292	12	6	20%	7%	95	+1.0	244/292/386	142	275	16	7	18%	6%	91	+0.6	243/290/392	149	264	19	6	16%	6%	91	+0.6
✕Osleivis Basabe 2024 · MLB	23	57→62	40→45	54→50	45	269/315/377	108	325	5	16	18%	6%	95	+1.0	238/287/350	112	284	10	12	19%	5%	80	-0.2	226/278/337	111	262	12	11	18%	5%	71	-0.5
●J.P. Crawford 2018 · MLB	23	46→56	43→45	47→50	54	225/303/336	111	270	10	8	20%	10%	83	+0.1	226/309/350	124	286	10	9	23%	10%	88	+0.5	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕Lastings Milledge 2009 · MLB	24	52→61	48→50	51→55	47	260/324/404	144	300	15	20	19%	6%	107	+1.8	265/318/378	113	308	10	18	17%	6%	97	+1.1	266/317/367	102	308	8	19	16%	6%	94	+0.6

Angel Genao

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps