Brayan Rocchio

SS Cleveland Guardians

Age 26 S/R 5'9" / 170 lbs MLB Svc 3.006 · Ctrl thru 2029

Overview

MLB40-MANArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	MLBCLE	442	.206/.301/.316	8	10	75	0.7
2025	24	AAACLE	188	.252/.357/.484	7	7	83	—	.211/.292/.386
2025	24	MLBCLE	383	.233/.294/.340	5	8	77	0.4
2026	25	MLBCLE	592	.253/.316/.391	15	20	98	2.2
2027PROJ	26	MLBCLE	531	.237/.303/.365	12	16	89	1.2
2028PROJ	27	MLBCLE	525	.236/.302/.362	11	15	88	1.1
2029PROJ	28	MLBCLE	515	.234/.300/.358	11	13	86	0.9

Last 3 seasons WAR 3.3 · Next 3 projected WAR 3.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.006First FA2030

2027Arb-1$3M2028Arb-2$5M2029Arb-3$6M

Skills · percentileStatcast 2024-2026

Speed47

Bat Spd36

xwOBA34

Avg EV16

Barrel%12

Form.252/.315/.425 ▲▲ rolling true talent (60d window) · proj .236/.300/.365

CompsBobby Hill (age 26) · Josh Wilson (age 26) · Carlos Febles (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8989vR 89

AVG/OBP/SLG.237 / .303 / .365

PA531

HR12

SB16

K%16

BB%7

BABIP263

ISO129

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$14M ctrl surplus

Tools · Recent Form · Splits · ContractCON 45 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

xAVG

300.235

POWER40

Barrel%

123.4

Avg EV

1686.5

Bat Spd

3669.8

EYE45

scouting grade only

SPEED50

Sprint

4727.4

Recent Formrolling true talent ⓘ

K%14%▲▲12% over 90 PA (60d) · proj 16%

BB%7%·7% over 90 PA (60d) · proj 7%

ISO.173▲▲.259 over 81 AB (60d) · proj .129

HR/BB4.6%▲7.1% over 70 BBE (60d) · proj 3.0%

BABIP.263·.262 over 65 BIP (60d) · proj .263

SLASH.252/.315/.425▲▲proj .236/.300/.365

Platoon Splits2024-2026 · 924 PA

vs LHP

vs RHP

Edge

269

655

—

wRC+

◀L

wOBA

302

281

◀L

ISO

159

093

◀◀L

BABIP

264

266

—

24.9%

16.9%

▶▶R

BB%

8.6%

7.9%

◀L

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

Status Arb-1

MLB Debut 2023

Service 3.006 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$3M	+1.5	$12M	+$9M
2028	Arb-2	$5M	+1.1	$8M	+$3M
2029	Arb-3	$6M	+0.9	$3M	+$0.0M (cut)
Totals		$8M		$23M	+$12M

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)
2018	17	ROK	AZL Indians 2	—	269	242	81	12	4	2	15	31	8	22	13	335	392	442	835	107	374	12	6	369	76	—	—	—	—	—	—
2021	20	AA	Akron RubberDucks	—	203	184	54	13	4	6	13	41	6	7	4	293	360	505	865	212	350	20	6	380	101	—	—	—	—	—	—
2021	20	A+	Lake County Captains	—	288	257	68	13	1	9	20	65	9	14	6	265	339	428	767	163	319	23	7	341	67	—	—	—	—	—	—
2021	20	INTL	Tiburones de La Guaira	—	76	69	27	6	1	2	5	5	1	2	2	391	440	594	1.034	203	403	7	7	447	189	—	—	—	—	—	—
2022	21	AAA	Columbus Clippers	—	152	137	32	6	0	5	12	21	1	2	3	234	300	387	687	153	241	14	8	304	70	—	—	—	—	—	—
2022	21	AA	Akron RubberDucks	—	432	373	99	21	1	13	42	81	9	12	6	265	354	432	785	166	302	19	10	346	91	—	—	—	—	—	—
2022	21	INTL	Tiburones de La Guaira	—	42	35	6	4	0	0	5	4	0	0	0	171	275	286	561	114	182	10	12	248	54	—	—	—	—	—	—
2023	22	MLB	Cleveland Guardians	—	86	81	20	6	0	0	4	27	0	0	0	247	282	321	603	74	364	31	5	269	67	-3	+0	-3	+7	+2	0.3
2023	22	AAA	Columbus Clippers	—	537	468	131	33	6	7	60	66	6	25	7	280	369	421	790	141	312	12	11	353	99	—	—	—	—	—	—
2023	22	INTL	Tiburones de La Guaira	—	71	61	23	7	0	1	6	8	3	2	3	377	457	541	998	164	423	11	8	437	182	—	—	—	—	—	—
2024	23	MLB	Cleveland Guardians	—	442	383	79	18	0	8	44	90	8	10	6	206	301	316	617	110	245	20	10	281	75	-13	-0	+7	+5	+10	0.7
2025	24	MLB	Cleveland Guardians	—	383	344	80	18	2	5	22	77	8	8	4	233	294	340	634	108	281	20	6	281	77	-11	+0	+0	+6	+8	0.4
2025	24	AAA	Columbus Clippers	—	188	159	40	12	2	7	23	27	3	7	3	252	357	484	841	233	260	14	12	365	83	—	—	—	—	—	—
2026	25	MLB	Cleveland Guardians	—	592	534	135	25	2	15	38	85	11	20	7	253	316	391	707	139	274	14	6	313	98	-1	+1	+3	+6	+13	2.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1503	1342	314	67	4	28	108	279	27	38	17	234	304	352	656	118	272	19	7	293	85	-28	+1	+7	+25	+33	3.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	AZL Indians 2	—	269	247	66	9	3	2	10	45	8	22	13	267	317	352	669	85	303	17	4	281	76	—	—	—	—	—	—
2021	20	AA MLE	Akron RubberDucks	—	203	187	47	10	3	5	10	51	6	7	4	251	310	417	727	166	321	25	5	317	101	—	—	—	—	—	—
2021	20	A+ MLE	Lake County Captains	—	288	262	56	11	1	6	15	86	9	14	6	214	280	332	612	118	285	30	5	267	67	—	—	—	—	—	—
2022	21	AAA MLE	Columbus Clippers	—	152	140	32	5	0	4	9	24	1	2	3	229	280	350	630	121	243	16	6	271	70	—	—	—	—	—	—
2022	21	AA MLE	Akron RubberDucks	—	432	384	92	20	1	10	31	102	9	12	6	240	311	375	686	135	287	24	7	302	91	—	—	—	—	—	—
2023	22	MLB MLE	Cleveland Guardians	—	86	81	20	6	0	0	4	27	0	0	0	247	282	321	603	74	364	31	5	268	67	-3	+0	-3	+7	+2	0.3
2023	22	AAA MLE	Columbus Clippers	—	537	485	128	29	7	5	43	78	6	25	7	264	331	384	715	120	302	15	8	315	99	—	—	—	—	—	—
2024	23	MLB MLE	Cleveland Guardians	—	442	384	79	18	0	8	43	90	8	10	6	206	299	315	614	109	245	20	10	279	75	-13	-0	+7	+5	+10	0.7
2025	24	MLB MLE	Cleveland Guardians	—	383	344	80	18	2	5	22	77	8	8	4	233	294	340	634	108	281	20	6	282	77	-11	+0	+0	+6	+8	0.4
2025	24	AAA MLE	Columbus Clippers	—	188	166	35	10	2	5	16	34	3	7	3	211	292	386	677	175	225	18	9	291	83	—	—	—	—	—	—
2026	25	MLB MLE	Cleveland Guardians	—	592	534	135	25	2	15	38	85	11	20	7	253	316	391	707	139	274	14	6	313	98	-1	+1	+3	+6	+13	2.2
2018	17	ROK MLE	AZL Indians 2	—	269	247	66	9	3	2	10	45	8	22	13	267	317	352	669	85	317	17	4	281	76	—	—	—	—	—	—
2018	17	ROK RAW	AZL Indians 2	—	269	242	81	12	4	2	15	31	8	22	13	335	392	442	835	107	374	12	6	369	76	—	—	—	—	—	—
2021	20	A+ MLE	3 teams	—	567	520	120	25	5	13	28	158	16	23	12	231	291	373	664	142	305	28	5	288	81	—	—	—	—	—	—
2021	20	A+ RAW	3 teams	—	567	510	149	32	6	17	38	111	16	23	12	292	360	478	838	186	344	20	7	369	81	—	—	—	—	—	—
2022	21	AA MLE	3 teams	—	626	561	133	27	1	15	43	135	10	14	9	237	303	369	672	132	281	22	7	294	85	—	—	—	—	—	—
2022	21	AA RAW	3 teams	—	626	545	137	31	1	18	59	106	10	14	9	251	336	411	747	160	277	17	9	329	85	—	—	—	—	—	—
2023	22	AAA MLE	3 teams	—	694	627	166	39	8	6	53	117	9	27	10	265	331	381	712	116	315	17	8	308	95	—	—	—	—	—	—
2023	22	AAA RAW	3 teams	—	694	610	174	46	6	8	70	101	9	27	10	285	367	420	787	134	329	15	10	352	95	—	—	—	—	—	—
2024	23	MLB MLE	Cleveland Guardians	—	442	384	79	18	0	8	43	90	8	10	6	206	299	315	614	109	244	20	10	279	75	-13	-0	+7	+5	+10	0.7
2024	23	MLB RAW	Cleveland Guardians	—	442	383	79	18	0	8	44	90	8	10	6	206	301	316	617	110	245	20	10	281	75	-13	-0	+7	+5	+10	0.7
2025	24	MLB MLE	2 teams	—	571	510	114	27	4	10	38	111	11	15	7	224	292	351	643	127	263	19	7	285	79	-14	+0	+0	+6	+12	0.5
2025	24	MLB RAW	2 teams	—	571	503	120	30	4	12	45	104	11	15	7	239	315	386	701	147	274	18	8	309	79	-14	+0	+0	+6	+12	0.5
2026	25	MLB MLE	Cleveland Guardians	—	592	534	135	25	2	15	38	85	11	20	7	253	316	391	707	139	274	14	6	313	98	-1	+1	+3	+6	+13	2.2
2026	25	MLB RAW	Cleveland Guardians	—	592	534	135	25	2	15	38	85	11	20	7	253	316	391	707	139	274	14	6	313	98	-1	+1	+3	+6	+13	2.2
2018	17	ROK MLE	AZL Indians 2	—	269	249	66	9	3	2	10	45	8	22	13	265	317	349	666	84	303	17	4	281	76	—	—	—	—	—	—
2021	20	A+ MLE	3 teams	—	567	518	120	25	5	13	28	158	16	23	12	232	291	375	665	143	300	28	5	288	81	—	—	—	—	—	—
2022	21	AA MLE	3 teams	—	626	568	133	27	1	15	43	135	10	14	9	234	303	364	667	130	276	22	7	294	85	—	—	—	—	—	—
2023	22	AAA MLE	3 teams	—	694	627	166	39	8	6	53	117	9	27	10	265	331	381	712	116	311	17	8	308	95	—	—	—	—	—	—
2024	23	MLB MLE	Cleveland Guardians	—	442	388	79	18	0	8	43	90	8	10	6	204	299	312	611	108	245	20	10	279	75	—	—	—	—	—	—
2025	24	MLB MLE	2 teams	—	571	517	114	27	4	10	38	111	11	15	7	221	292	346	638	126	262	19	7	285	79	—	—	—	—	—	—
2026	25	MLB MLE	Cleveland Guardians	—	592	538	135	25	2	15	38	85	11	20	7	251	316	388	704	138	274	14	6	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	MLB MLE	Cleveland Guardians	—	442	388	79	18	0	8	43	90	8	10	6	204	299	312	611	108	245	20	10	279	75	—	—	—	—	—	—
2025	24	MLB MLE	2 teams	—	571	517	114	27	4	10	38	111	11	15	7	221	292	346	638	126	262	19	7	285	79	—	—	—	—	—	—
2026	25	MLB MLE	Cleveland Guardians	—	592	538	135	25	2	15	38	85	11	20	7	251	316	388	704	138	274	14	6	313	98	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	CLE	100%	564	511	121	23	3	13	38	92	10	17	5	236	302	366	668	129	263	16	7	299	89	-8	+1	-0	+6	+12	1.5
▸ 2027 — real world (MLB)
2027	26	MLB CTX	CLE	100%	531	480	114	22	2	12	36	86	10	16	4	237	303	365	668	128	263	16	7	299	89	-7	+2	-0	+6	+12	1.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	CLE	100%	525	474	113	22	2	12	36	86	10	15	4	235	302	363	665	128	263	16	7	298	88	-8	+1	-0	+6	+11	1.1
2029	28	MLB MLE	CLE	100%	515	466	109	21	2	11	35	86	9	13	4	234	300	359	658	125	262	17	7	296	86	-8	+1	-1	+6	+11	0.9
2030	29	MLB MLE	CLE	100%	500	453	104	20	2	10	34	84	9	10	3	231	297	353	650	121	261	17	7	292	84	-10	+1	-2	+5	+11	0.6
2031	30	MLB MLE	CLE	100%	486	443	101	19	2	10	32	84	8	8	3	228	294	345	639	117	259	17	7	288	81	-11	+0	-2	+5	+11	0.3
2032	31	MLB MLE	CLE	100%	468	426	96	18	2	9	31	82	8	4	2	224	288	335	624	111	256	18	7	281	77	-13	+0	-3	+5	+10	-0.1
2028	27	MLB CTX	CLE	100%	525	474	112	22	2	11	36	86	10	15	4	236	302	362	664	127	263	16	7	298	88	-8	+1	-0	+6	+11	1.1
2029	28	MLB CTX	CLE	100%	515	466	109	21	2	11	35	86	9	13	4	234	300	358	658	124	262	17	7	296	86	-8	+1	-1	+6	+11	0.9
2030	29	MLB CTX	CLE	100%	500	453	106	21	2	10	34	84	9	10	3	232	297	352	650	121	261	17	7	292	84	-10	+1	-2	+5	+11	0.6
2031	30	MLB CTX	CLE	100%	486	443	101	20	2	9	32	84	8	8	3	229	294	345	639	116	260	17	7	288	81	-11	+0	-2	+5	+11	0.3
2032	31	MLB CTX	CLE	100%	468	426	96	19	1	9	31	82	8	4	2	225	289	335	624	111	257	18	7	282	77	-13	+0	-3	+5	+10	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3997	3604	838	170	13	78	276	701	71	88	33	233	300	352	652	119	266	18	7	292	85	-78	+4	-1	+51	+87	6.5
/ 162G	—	A+C		—	650	586	137	28	2	13	45	114	12	14	5	234	302	355	657	121	268	18	7	292	85	-13	+1	-0	+8	+14	1.1
Career	—	MLE		—	6786	6125	1450	292	35	133	457	1249	127	197	84	237	303	361	664	124	275	18	7	294	85	-85	+6	-1	+57	+98	7.7
/ 162G	—	MLE		—	650	587	139	28	3	13	44	120	12	19	8	237	304	361	665	124	275	18	7	294	85	-12	+1	-0	+8	+14	1.1

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.

2025 AAAColumbus Clippers · 188 PAwOBA .359 → .291 (−69)K% 14.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.36%	÷0.956	×1.200	—	—	18.03%
BB% (unintentional) /PA	12.23%	÷1.014	×0.690	—	×1.048	8.73%
HBP% /PA	1.60%	—	×0.940	—	×1.048	1.57%
Singles /BIP	14.39%	÷0.997	×0.930	×0.960	×1.048	13.51%
Doubles /BIP	9.09%	÷1.064	×0.830	×0.960	×1.048	7.13%
Triples /BIP	1.52%	÷1.042	×0.970	×0.960	×1.048	1.42%
Home runs /BIP	5.30%	÷1.093	×0.700	—	×1.048	3.56%

Factors used: league row International League. Park (home-season share, regressed): HR 118, 1B 99, 2B 113, 3B 108, K 91, BB 103 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .359 → .291; ISO .233 → .175; BABIP .260 → .225. 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 AAAColumbus Clippers · 537 PAwOBA .347 → .315 (−32)K% 12.3% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.29%	÷1.008	×1.200	—	—	14.64%
BB% (unintentional) /PA	11.17%	÷0.994	×0.690	—	×1.050	8.14%
HBP% /PA	1.12%	—	×0.940	—	×1.050	1.10%
Singles /BIP	21.14%	÷0.963	×0.930	×0.998	×1.050	21.39%
Doubles /BIP	8.21%	÷1.018	×0.830	×0.998	×1.050	7.01%
Triples /BIP	1.49%	÷0.900	×0.970	×0.998	×1.050	1.68%
Home runs /BIP	1.74%	÷1.037	×0.700	—	×1.050	1.23%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 93, 2B 104, 3B 80, K 102, BB 99 — 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 ×0.998.

Result: wOBA .347 → .315; ISO .141 → .123; BABIP .312 → .302. 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 AAAkron RubberDucks · 432 PAwOBA .342 → .302 (−40)K% 18.8% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.969	×1.220	—	—	23.61%
BB% (unintentional) /PA	9.72%	÷0.995	×0.700	—	×1.050	7.18%
HBP% /PA	2.08%	—	×0.850	—	×1.050	1.86%
Singles /BIP	21.92%	÷1.052	×0.970	×0.990	×1.050	21.00%
Doubles /BIP	7.19%	÷0.926	×0.860	×0.990	×1.050	6.94%
Triples /BIP	0.34%	÷0.980	×0.950	×0.990	×1.050	0.35%
Home runs /BIP	4.45%	÷1.014	×0.780	—	×1.050	3.60%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 110, 2B 85, 3B 96, K 94, BB 99 — 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 ×0.990.

Result: wOBA .342 → .302; ISO .166 → .144; BABIP .302 → .287. 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 AAAColumbus Clippers · 152 PAwOBA .298 → .271 (−26)K% 13.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.82%	÷1.036	×1.200	—	—	16.01%
BB% (unintentional) /PA	7.89%	÷0.930	×0.690	—	×1.050	6.15%
HBP% /PA	0.66%	—	×0.940	—	×1.050	0.65%
Singles /BIP	18.10%	÷0.941	×0.930	×1.025	×1.050	19.25%
Doubles /BIP	5.17%	÷1.040	×0.830	×1.025	×1.050	4.44%
Triples /BIP	0.00%	÷0.900	×0.970	×1.025	×1.050	0.00%
Home runs /BIP	4.31%	÷1.001	×0.700	—	×1.050	3.17%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .298 → .271; ISO .153 → .119; BABIP .241 → .243. 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 A+Lake County Captains · 288 PAwOBA .335 → .267 (−68)K% 22.6% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.57%	÷1.026	×1.350	—	—	29.69%
BB% (unintentional) /PA	6.94%	÷1.017	×0.710	—	×1.042	5.05%
HBP% /PA	3.12%	—	×0.810	—	×1.042	2.64%
Singles /BIP	23.44%	÷1.041	×0.910	×0.992	×1.042	21.16%
Doubles /BIP	6.77%	÷0.941	×0.830	×0.992	×1.042	6.17%
Triples /BIP	0.52%	÷0.900	×0.820	×0.992	×1.042	0.49%
Home runs /BIP	4.69%	÷1.222	×0.830	—	×1.042	3.32%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 108, 2B 88, 3B 80, K 105, BB 103 — 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 ×0.992.

Result: wOBA .335 → .267; ISO .163 → .120; BABIP .319 → .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).

2021 AAAkron RubberDucks · 203 PAwOBA .370 → .317 (−53)K% 20.2% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.20%	÷0.977	×1.220	—	—	25.21%
BB% (unintentional) /PA	6.40%	÷0.967	×0.690	—	×1.050	4.80%
HBP% /PA	2.96%	—	×0.850	—	×1.050	2.64%
Singles /BIP	21.68%	÷1.042	×0.940	×1.019	×1.050	20.92%
Doubles /BIP	9.09%	÷1.129	×0.870	×1.019	×1.050	7.50%
Triples /BIP	2.80%	÷1.116	×0.920	×1.019	×1.050	2.47%
Home runs /BIP	4.20%	÷0.893	×0.780	—	×1.050	3.85%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 108, 2B 126, 3B 123, K 95, BB 93 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .370 → .317; ISO .212 → .178; BABIP .350 → .321. 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 ROKAZL Indians 2 · 269 PAwOBA .363 → .281 (−81)K% 11.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.52%	÷1.000	×1.440	—	—	16.59%
BB% (unintentional) /PA	5.58%	÷1.000	×0.620	—	×1.038	3.59%
HBP% /PA	2.97%	—	×0.720	—	×1.038	2.22%
Singles /BIP	29.86%	÷1.000	×0.820	×0.977	×1.038	24.82%
Doubles /BIP	5.69%	÷1.000	×0.720	×0.977	×1.038	4.15%
Triples /BIP	1.90%	÷1.000	×0.720	×0.977	×1.038	1.38%
Home runs /BIP	0.95%	÷1.000	×0.780	—	×1.038	0.77%

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 17 vs a level average of 19.5 → +3.8% on BB/HBP/hit rates (2.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .363 → .281; ISO .107 → .080; BABIP .374 → .303. 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
#1Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#5Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	6.8	4,528	91	103	233	296	354	+49	+26	9.3	9.0
/162	664	13	15	+7.1	+3.9	1.4	pk7: 9
#6Gordon 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

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
Brayan Rocchio (OGILVIE)	26	45	40	50	45	234/300/362	128	263	12	16	16%	7%	89	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bobby Hill 2004 · MLB	26	49	46→40	53→45	48	242/305/376	134	284	14	14	20%	7%	93	+0.8	247/325/334	87	302	6	5	19%	8%	91	+0.7	245/330/315	70	311	3	1	20%	8%	87	+0.2
✕Josh Wilson 2007 · AAA	26	47→50	46→45	52→50	46	234/290/369	135	272	14	16	20%	6%	86	+0.3	231/286/340	109	275	9	13	19%	5%	77	-0.3	226/274/322	96	276	6	6	19%	4%	69	-0.5
✕Carlos Febles 2002 · MLB	26	50→52	43→40	50→55	52	241/309/347	106	272	11	16	16%	8%	88	+0.4	239/313/333	94	277	8	19	16%	8%	86	+0.3	237/318/311	74	278	4	23	15%	9%	83	+0.1
✕Danny Mendick 2020 · MLB	26	44→47	46→45	47→50	48	222/286/346	124	263	13	15	21%	7%	79	-0.2	232/292/348	116	288	12	10	23%	7%	82	-0.0	237/296/342	105	299	11	4	23%	7%	81	-0.0
✕Taylor Motter 2016 · AAA	26	49	46→50	51→55	46	243/292/377	134	281	13	20	19%	6%	88	+0.4	210/267/345	135	244	15	19	21%	7%	72	-0.7	198/274/355	157	245	19	5	27%	9%	76	-0.3
✕Carlos Sosa 2007 · AAA	26	48	43→45	53→50	48	234/304/346	111	276	10	15	19%	7%	86	+0.3	240/303/339	99	273	9	13	15%	7%	83	+0.1	248/313/344	96	272	8	13	11%	7%	86	+0.1
✕Christian Lopes 2019 · AAA	26	48→52	43→45	50	52	232/303/348	117	271	10	16	18%	8%	86	+0.3	219/297/344	125	279	12	13	25%	8%	83	+0.1	203/283/316	113	275	11	11	28%	8%	70	-0.5
✕Freddy Guzman 2006 · MLB	25	47→57	44→45	51→70	48	231/290/348	117	268	11	18	18%	7%	80	-0.1	244/305/332	88	291	5	43	17%	8%	82	-0.0	267/319/375	107	317	7	77	17%	7%	93	+0.5
✕Alfredo Amezaga 2004 · MLB	26	45→55	46→40	48→55	50	225/292/360	135	262	14	11	20%	8%	84	+0.2	239/295/344	105	281	9	20	18%	6%	81	-0.1	267/327/351	84	305	3	26	13%	7%	94	+0.5
✕Matt Downs 2010 · MLB	26	48→50	48→50	48→50	44	243/286/389	146	268	16	12	16%	5%	89	+0.5	229/289/378	149	263	17	8	20%	6%	88	+0.4	216/283/367	151	247	19	5	21%	6%	83	+0.0
✕Koyie Hill 2005 · MLB	26	48→42	50→45	52→40	48	243/297/393	150	273	18	12	19%	7%	94	+0.9	215/279/327	112	273	10	7	24%	8%	72	-0.7	222/276/343	122	280	11	2	24%	6%	73	-0.4
✕Drew Millas 2024 · MLB	26	48	42→45	49→50	52	231/309/336	104	293	9	10	23%	10%	85	+0.2	240/296/357	117	287	11	15	19%	7%	84	+0.2	236/288/351	115	277	10	18	18%	6%	79	-0.1
✕Brian Specht 2006 · AAA	25	49	47→50	51→55	46	244/297/388	144	293	13	18	22%	7%	93	+0.8	234/292/370	136	298	14	19	25%	7%	86	+0.3	211/271/321	110	274	13	34	27%	8%	63	-0.2
✕Nick Punto 2004 · MLB	26	47→57	44→40	48→55	47	230/287/341	111	280	12	12	22%	7%	78	-0.3	245/311/343	98	295	8	18	19%	9%	86	+0.3	256/323/341	84	306	4	20	16%	9%	91	+0.4
✕Ramon Santiago 2007 · MLB	27	46→52	42→45	50	45	224/279/326	102	257	9	15	17%	5%	72	-0.7	241/297/348	107	284	8	10	18%	5%	83	+0.1	256/332/354	98	297	10	3	16%	8%	98	+0.6
✕Nick Fortes 2023 · MLB	26	46→45	48→45	46→45	48	232/300/372	139	261	17	9	19%	7%	91	+0.6	224/280/339	115	254	12	6	17%	5%	75	-0.5	234/282/341	108	262	10	1	15%	4%	77	-0.2
✕Wilmer Difo 2019 · MLB	27	49→56	42→45	56→55	48	238/290/347	109	280	9	16	18%	7%	80	-0.2	234/293/337	103	295	9	12	23%	8%	78	-0.3	235/286/326	91	292	9	9	22%	6%	72	-0.4
✕Felix Escalona 2005 · MLB	26	47	43→45	53→45	43	227/288/343	117	286	10	15	24%	6%	79	-0.2	231/293/350	119	273	12	6	20%	5%	83	+0.1	223/283/333	110	264	11	4	20%	4%	74	-0.4
✕Danny Muno 2015 · AAA	26	48→52	44→45	46→50	53	234/320/353	119	294	12	12	23%	10%	94	+0.9	225/303/323	98	299	8	11	25%	9%	80	-0.1	221/301/308	87	304	6	11	27%	10%	73	-0.3
✕Kaleb Cowart 2018 · MLB	26	49→53	45	52→50	44	238/292/367	129	309	12	18	26%	7%	86	+0.3	219/268/342	123	282	11	12	25%	6%	71	-0.8	202/248/320	118	261	9	9	26%	5%	56	-1.3

Brayan Rocchio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps