Yasmani Grandal

C Worcester Red Sox

Age 38 S/R 6'2" / 225 lbs AAA HR -5%K -4% Svc 15.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	34	MLBCWS	405	.234/.310/.339	8	0	84	1.1
2024	35	AAAPIT	38	.257/.316/.400	1	0	45	—	.194/.237/.306
2024	35	MLBPIT	243	.228/.305/.400	9	1	99	1.8
2025	36	AAABOS	94	.256/.376/.397	2	0	66	—	.193/.280/.277
2026	37	No MLB games played
2027PROJ30% MLB	38	MLBBOS	30	.251/.329/.431	1	0	109	0.2
2028PROJ	39	MLBBOS	80	.238/.315/.402	2	0	98	-0.6

Last 3 seasons WAR 2.9 · Next 2 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service15.000First FA2028

2027Ext / FA-deal$3M

Skills · percentileStatcast 2022-2024

Avg EV54

Bat Spd41

xwOBA38

Barrel%33

Speed10

CompsGregg Zaun (age 37) · Jason Varitek (age 37) · Greg Norton (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 109109vR 109

AVG/OBP/SLG.251 / .329 / .431

PA30

HR1

K%20

BB%10

BABIP287

ISO185

MLB%30%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2022-2024

CONTACT

xAVG

150.222

POWER

Barrel%

335.9

Avg EV

5489.4

Bat Spd

4170.3

SPEED

Sprint

1023.2

Platoon Splits2024 · 243 PA

vs LHP

vs RHP

Edge

183

—

wRC+

108

▶▶R

wOBA

262

328

▶▶R

ISO

054

212

▶▶R

BABIP

317

225

◀◀L

23.3%

17.5%

▶▶R

BB%

6.7%

10.9%

▶▶R

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

Status FA

MLB Debut 2012

Service 15.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$3M	+0.2	$0.6M	-$2M
Totals		$3M		$0.6M	-$2M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2010	21	ROK	AZL Reds	—	33	28	8	1	0	0	4	4	1	0	1	286	394	321	715	36	333	12	12	338	51	—	—	—	—	—	—
2011	22	AAA	Louisville Bats	—	18	12	6	2	0	0	5	1	1	0	0	500	667	667	1.333	167	545	6	28	578	236	—	—	—	—	—	—
2011	22	AA	Carolina Mudcats	—	172	156	47	15	0	4	13	39	2	0	1	301	363	474	837	173	377	23	8	369	97	—	—	—	—	—	—
2011	22	A+	Bakersfield Blaze	—	251	206	61	14	0	10	41	57	1	0	0	296	415	510	925	214	359	23	16	405	100	—	—	—	—	—	—
2012	23	MLB	San Diego Padres	—	226	192	57	7	1	8	31	39	1	0	0	297	397	469	866	172	333	17	14	384	145	+12	+0	+18	+8	+5	4.4
2012	23	AAA	Tucson Padres	—	235	194	65	18	0	6	37	35	2	0	0	335	446	521	967	186	381	15	16	425	126	—	—	—	—	—	—
2013	24	MLB	San Diego Padres	—	108	88	19	8	0	1	18	18	1	0	0	216	355	341	696	125	257	17	17	321	99	-0	+0	+8	+3	+2	1.3
2013	24	AAA	Tucson Padres	—	38	36	11	3	0	0	2	8	0	0	0	306	342	389	731	83	393	21	5	329	60	—	—	—	—	—	—
2014	25	MLB	San Diego Padres	—	443	377	85	19	1	15	58	115	2	3	0	225	332	401	732	175	277	26	13	326	108	+4	+1	+10	+9	+10	3.4
2014	25	INTL	Toros del Este	—	81	61	20	7	0	2	18	15	0	2	0	328	481	541	1.022	213	391	19	22	440	184	—	—	—	—	—	—
2015	26	MLB	Los Angeles Dodgers	—	426	355	83	12	0	16	65	92	2	0	1	234	355	403	758	169	268	22	15	341	119	+10	-0	+33	+8	+9	6.0
2015	26	AAA	Oklahoma City Dodgers	—	15	10	3	1	0	0	5	3	0	0	0	300	533	400	933	100	429	20	33	439	118	—	—	—	—	—	—
2016	27	MLB	Los Angeles Dodgers	—	457	390	89	14	1	27	64	116	2	1	3	228	340	477	817	249	250	25	14	360	131	+17	-1	+37	+8	+10	7.2
2017	28	MLB	Los Angeles Dodgers	—	482	438	108	27	0	22	40	130	0	0	1	247	310	459	769	212	298	27	8	336	116	+9	-0	+27	+9	+10	5.5
2018	29	MLB	Los Angeles Dodgers	—	518	440	106	23	2	24	72	124	3	2	1	241	351	466	817	225	278	24	14	360	133	+20	+0	+23	+9	+11	6.5
2019	30	MLB	Milwaukee Brewers	—	632	513	126	26	2	28	109	139	5	5	1	246	383	468	851	222	279	22	17	377	139	+30	+1	+25	+11	+14	8.1
2020	31	MLB	Chicago White Sox	—	194	161	37	7	0	8	30	58	1	0	0	230	354	422	777	193	299	30	15	346	119	+4	+0	+7	+3	+4	2.0
2021	32	MLB	Chicago White Sox	—	375	279	67	9	0	23	87	82	3	0	0	240	425	520	945	280	246	22	23	411	162	+28	+0	+2	+7	+8	4.6
2021	32	AAA	Charlotte Knights	—	25	22	6	1	0	1	2	8	1	0	0	273	360	455	815	182	385	32	8	365	59	—	—	—	—	—	—
2022	33	MLB	Chicago White Sox	—	376	327	66	7	0	5	45	79	2	1	0	202	302	269	571	67	249	21	12	269	66	-15	+0	+4	+7	+8	0.4
2022	33	AAA	Charlotte Knights	—	38	29	11	1	0	2	9	2	0	0	0	379	526	621	1.147	241	360	5	24	499	132	—	—	—	—	—	—
2023	34	MLB	Chicago White Sox	—	405	363	85	14	0	8	36	86	4	0	0	234	310	339	649	105	284	21	9	296	84	-8	+0	+2	+7	+9	1.1
2024	35	MLB	Pittsburgh Pirates	—	243	215	49	10	0	9	24	46	0	1	0	228	305	400	705	172	248	19	10	311	99	-0	+0	+7	+5	+5	1.8
2024	35	AAA	Indianapolis Indians	—	38	35	9	2	0	1	3	8	0	0	0	257	316	400	716	143	308	21	8	320	45	—	—	—	—	—	—
2025	36	AAA	Worcester Red Sox	—	94	78	20	5	0	2	13	15	2	0	0	256	376	397	774	141	290	16	14	350	66	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4885	4138	977	183	7	194	679	1124	26	13	7	236	347	424	772	188	274	23	14	344	119	+109	-0	+202	+96	+106	52.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	ROK MLE	AZL Reds	—	33	30	7	1	0	0	2	6	1	0	1	233	303	267	570	33	262	18	6	243	51	—	—	—	—	—	—
2011	22	AAA MLE	Louisville Bats	—	18	14	6	2	0	0	3	1	1	0	0	429	556	571	1.127	143	507	6	17	517	236	—	—	—	—	—	—
2011	22	AA MLE	Carolina Mudcats	—	172	160	41	13	0	3	9	49	2	0	1	256	304	394	698	138	352	28	5	311	97	—	—	—	—	—	—
2011	22	A+ MLE	Bakersfield Blaze	—	251	218	51	11	0	8	29	77	1	0	0	234	327	394	721	161	310	31	12	316	100	—	—	—	—	—	—
2012	23	MLB MLE	San Diego Padres	—	226	193	57	7	1	8	30	39	1	0	0	295	393	466	859	171	333	17	13	383	145	+12	+0	+18	+8	+5	4.4
2012	23	AAA MLE	Tucson Padres	—	235	208	59	15	0	5	23	46	2	0	0	284	361	428	788	144	342	20	10	355	126	—	—	—	—	—	—
2013	24	MLB MLE	San Diego Padres	—	108	90	20	9	0	1	16	18	1	0	0	222	346	356	701	133	257	17	15	315	99	-0	+0	+8	+3	+2	1.3
2013	24	AAA MLE	Tucson Padres	—	38	37	9	2	0	0	1	11	0	0	0	243	263	297	560	54	353	29	3	257	60	—	—	—	—	—	—
2014	25	MLB MLE	San Diego Padres	—	443	378	86	20	1	15	57	115	2	3	0	228	332	405	737	177	277	26	13	327	108	+4	+1	+10	+9	+10	3.4
2015	26	MLB MLE	Los Angeles Dodgers	—	426	356	84	13	0	15	64	92	2	0	1	236	355	399	754	163	268	22	15	344	119	+10	-0	+33	+8	+9	6.0
2015	26	AAA MLE	Oklahoma City Dodgers	—	15	12	3	1	0	0	3	4	0	0	0	250	400	333	733	83	371	27	20	343	118	—	—	—	—	—	—
2016	27	MLB MLE	Los Angeles Dodgers	—	457	391	89	15	1	26	63	116	2	1	3	228	338	471	808	243	250	25	14	361	131	+17	-1	+37	+8	+10	7.2
2017	28	MLB MLE	Los Angeles Dodgers	—	482	438	110	29	0	21	40	130	0	0	1	251	314	461	775	210	298	27	8	339	116	+9	-0	+27	+9	+10	5.5
2018	29	MLB MLE	Los Angeles Dodgers	—	518	441	107	24	2	23	71	124	3	2	1	243	351	463	814	220	278	24	14	365	133	+20	+0	+23	+9	+11	6.5
2019	30	MLB MLE	Milwaukee Brewers	—	632	515	127	28	2	27	107	139	5	5	1	247	381	466	847	219	279	22	17	374	139	+30	+1	+25	+11	+14	8.1
2020	31	MLB MLE	Chicago White Sox	—	194	161	37	7	0	8	30	58	1	0	0	230	354	422	777	193	299	30	15	345	119	+4	+0	+7	+3	+4	2.0
2021	32	MLB MLE	Chicago White Sox	—	375	279	67	9	0	23	87	82	3	0	0	240	425	520	945	280	246	22	23	408	162	+28	+0	+2	+7	+8	4.6
2021	32	AAA MLE	Charlotte Knights	—	25	23	5	1	0	1	1	10	1	0	0	217	280	391	671	174	316	40	4	255	59	—	—	—	—	—	—
2022	33	MLB MLE	Chicago White Sox	—	376	328	66	7	0	5	44	79	2	1	0	201	299	268	568	67	249	21	12	266	66	-15	+0	+4	+7	+8	0.4
2022	33	AAA MLE	Charlotte Knights	—	38	32	10	1	0	1	6	2	0	0	0	312	421	438	859	125	297	5	16	363	132	—	—	—	—	—	—
2023	34	MLB MLE	Chicago White Sox	—	405	364	85	14	0	8	35	86	4	0	0	234	308	338	646	104	284	21	9	293	84	-8	+0	+2	+7	+9	1.1
2024	35	MLB MLE	Pittsburgh Pirates	—	243	215	50	10	0	10	24	46	0	1	0	233	310	419	728	186	248	19	10	315	99	-0	+0	+7	+5	+5	1.8
2024	35	AAA MLE	Indianapolis Indians	—	38	36	7	1	0	1	2	10	0	0	0	194	237	306	542	111	254	26	5	235	45	—	—	—	—	—	—
2025	36	AAA MLE	Worcester Red Sox	—	94	83	16	4	0	1	8	18	2	0	0	193	280	277	557	84	234	19	9	266	66	—	—	—	—	—	—
2010	21	ROK MLE	AZL Reds	—	33	30	7	1	0	0	2	6	1	0	1	233	303	267	570	33	292	18	6	243	51	—	—	—	—	—	—
2010	21	ROK RAW	AZL Reds	—	33	28	8	1	0	0	4	4	1	0	1	286	394	321	715	36	333	12	12	338	51	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	441	392	99	26	0	11	41	127	4	0	1	253	330	403	733	151	341	29	9	322	104	—	—	—	—	—	—
2011	22	A+ RAW	3 teams	—	441	374	114	31	0	14	59	97	4	0	1	305	405	500	905	195	375	22	13	398	104	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	461	401	118	23	1	13	53	85	3	0	0	294	381	454	835	160	342	18	11	369	136	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	461	386	122	25	1	14	68	74	3	0	0	316	422	495	917	179	358	16	15	405	136	—	—	—	—	—	—
2013	24	MLB MLE	2 teams	—	146	127	29	11	0	1	17	29	1	0	0	228	324	339	663	110	286	20	12	300	89	-2	+0	+8	+3	+3	1.2
2013	24	MLB RAW	2 teams	—	146	124	30	11	0	1	20	26	1	0	0	242	352	355	707	113	296	18	14	323	89	-2	+0	+8	+3	+3	1.2
2014	25	MLB MLE	2 teams	—	524	447	102	24	1	17	67	136	2	5	0	228	331	400	732	172	281	26	13	327	108	+5	+1	+10	+9	+11	3.7
2014	25	MLB RAW	2 teams	—	524	438	105	26	1	17	76	130	2	5	0	240	355	420	775	180	294	25	15	344	108	+5	+1	+10	+9	+11	3.7
2015	26	MLB MLE	2 teams	—	441	368	87	14	0	15	67	96	2	0	1	236	357	397	754	160	277	22	15	344	119	+10	-0	+33	+8	+10	6.1
2015	26	MLB RAW	2 teams	—	441	365	86	13	0	16	70	95	2	0	1	236	362	403	764	167	272	22	16	344	119	+10	-0	+33	+8	+10	6.1
2016	27	MLB MLE	Los Angeles Dodgers	—	457	391	89	15	1	26	63	116	2	1	3	228	338	471	808	243	252	25	14	361	131	+17	-1	+37	+8	+10	7.2
2016	27	MLB RAW	Los Angeles Dodgers	—	457	390	89	14	1	27	64	116	2	1	3	228	340	477	817	249	250	25	14	360	131	+17	-1	+37	+8	+10	7.2
2017	28	MLB MLE	Los Angeles Dodgers	—	482	438	110	29	0	21	40	130	0	0	1	251	314	461	775	210	307	27	8	339	116	+9	-0	+27	+9	+10	5.5
2017	28	MLB RAW	Los Angeles Dodgers	—	482	438	108	27	0	22	40	130	0	0	1	247	310	459	769	212	298	27	8	336	116	+9	-0	+27	+9	+10	5.5
2018	29	MLB MLE	Los Angeles Dodgers	—	518	441	107	24	2	23	71	124	3	2	1	243	351	463	814	220	283	24	14	365	133	+20	+0	+23	+9	+11	6.5
2018	29	MLB RAW	Los Angeles Dodgers	—	518	440	106	23	2	24	72	124	3	2	1	241	351	466	817	225	278	24	14	360	133	+20	+0	+23	+9	+11	6.5
2019	30	MLB MLE	Milwaukee Brewers	—	632	515	127	28	2	27	107	139	5	5	1	247	381	466	847	219	282	22	17	374	139	+30	+1	+25	+11	+14	8.1
2019	30	MLB RAW	Milwaukee Brewers	—	632	513	126	26	2	28	109	139	5	5	1	246	383	468	851	222	279	22	17	377	139	+30	+1	+25	+11	+14	8.1
2020	31	MLB MLE	Chicago White Sox	—	194	161	37	7	0	8	30	58	1	0	0	230	354	422	777	193	299	30	15	345	119	+4	+0	+7	+3	+4	2.0
2020	31	MLB RAW	Chicago White Sox	—	194	161	37	7	0	8	30	58	1	0	0	230	354	422	777	193	299	30	15	346	119	+4	+0	+7	+3	+4	2.0
2021	32	MLB MLE	2 teams	—	400	302	71	10	0	23	88	92	4	0	0	235	414	497	910	262	250	23	22	399	156	+27	+0	+2	+7	+9	4.5
2021	32	MLB RAW	2 teams	—	400	301	73	10	0	24	89	90	4	0	0	243	421	515	936	272	255	22	22	408	156	+27	+0	+2	+7	+9	4.5
2022	33	MLB MLE	2 teams	—	414	360	76	8	0	6	50	81	2	1	0	211	311	283	594	72	255	20	12	275	72	-14	+0	+4	+7	+9	0.7
2022	33	MLB RAW	2 teams	—	414	356	77	8	0	7	54	81	2	1	0	216	323	298	621	81	259	20	13	290	72	-14	+0	+4	+7	+9	0.7
2023	34	MLB MLE	Chicago White Sox	—	405	364	85	14	0	8	35	86	4	0	0	234	308	338	646	104	283	21	9	293	84	-8	+0	+2	+7	+9	1.1
2023	34	MLB RAW	Chicago White Sox	—	405	363	85	14	0	8	36	86	4	0	0	234	310	339	649	105	284	21	9	296	84	-8	+0	+2	+7	+9	1.1
2024	35	MLB MLE	2 teams	—	281	251	56	11	0	10	26	56	0	1	0	223	296	386	682	163	247	20	9	304	92	-3	+0	+7	+5	+6	1.6
2024	35	MLB RAW	2 teams	—	281	250	58	12	0	10	27	54	0	1	0	232	307	400	707	168	257	19	10	312	92	-3	+0	+7	+5	+6	1.6
2025	36	AAA MLE	Worcester Red Sox	—	94	83	16	4	0	1	8	18	2	0	0	193	280	277	557	84	231	19	9	266	66	—	—	—	—	—	—
2025	36	AAA RAW	Worcester Red Sox	—	94	78	20	5	0	2	13	15	2	0	0	256	376	397	774	141	290	16	14	350	66	—	—	—	—	—	—
2010	21	ROK MLE	AZL Reds	—	33	30	7	1	0	0	2	6	1	0	1	233	303	267	570	33	262	18	6	243	51	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	441	393	99	26	0	11	41	127	4	0	1	252	330	402	732	150	334	29	9	322	104	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	461	402	118	23	1	13	53	85	3	0	0	294	381	453	833	159	338	18	11	369	136	—	—	—	—	—	—
2013	24	MLB MLE	2 teams	—	146	127	29	11	0	1	17	29	1	0	0	228	324	339	663	110	282	20	12	300	89	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	524	450	102	24	1	17	67	136	2	5	0	227	331	398	729	171	277	26	13	327	108	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	441	369	87	14	0	15	67	96	2	0	1	236	357	396	753	160	272	22	15	344	119	—	—	—	—	—	—
2016	27	MLB MLE	Los Angeles Dodgers	—	457	389	89	15	1	26	63	116	2	1	3	229	338	473	811	244	250	25	14	361	131	—	—	—	—	—	—
2017	28	MLB MLE	Los Angeles Dodgers	—	482	439	110	29	0	21	40	130	0	0	1	251	314	460	774	210	298	27	8	339	116	—	—	—	—	—	—
2018	29	MLB MLE	Los Angeles Dodgers	—	518	439	107	24	2	23	71	124	3	2	1	244	351	465	816	221	278	24	14	365	133	—	—	—	—	—	—
2019	30	MLB MLE	Milwaukee Brewers	—	632	515	127	28	2	27	107	139	5	5	1	247	381	466	847	219	279	22	17	374	139	—	—	—	—	—	—
2020	31	MLB MLE	Chicago White Sox	—	194	161	37	7	0	8	30	58	1	0	0	230	354	422	777	193	299	30	15	345	119	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	400	305	71	10	0	23	88	92	4	0	0	233	414	492	906	259	250	23	22	399	156	—	—	—	—	—	—
2022	33	MLB MLE	2 teams	—	414	359	76	8	0	6	50	81	2	1	0	212	311	284	595	72	253	20	12	275	72	—	—	—	—	—	—
2023	34	MLB MLE	Chicago White Sox	—	405	363	85	14	0	8	35	86	4	0	0	234	308	339	647	105	284	21	9	293	84	—	—	—	—	—	—
2024	35	MLB MLE	2 teams	—	281	253	56	11	0	10	26	56	0	1	0	221	296	383	679	162	249	20	9	304	92	—	—	—	—	—	—
2025	36	AAA MLE	Worcester Red Sox	—	94	84	16	4	0	1	8	18	2	0	0	190	280	274	553	83	234	19	9	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	35	MLB MLE	2 teams	—	281	253	56	11	0	10	26	56	0	1	0	221	296	383	679	162	249	20	9	304	92	—	—	—	—	—	—
2025	36	AAA MLE	Worcester Red Sox	—	94	84	16	4	0	1	8	18	2	0	0	190	280	274	553	83	234	19	9	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	38	MLB MLE	BOS	30%	159	142	34	7	1	5	15	32	1	2	1	243	322	421	744	178	276	20	9	329	109	+2	+0	+0	+3	+3	0.5
▸ 2027 — real world (MLB)
2027	38	MLB CTX	BOS	30%	30	27	7	2	0	1	3	6	0	0	0	251	329	431	760	181	287	20	10	336	109	+0	+0	+0	+1	+1	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	39	MLB MLE	BOS	100%	80	72	15	3	0	2	7	17	1	0	0	231	309	392	701	161	265	21	9	312	98	-0	+0	-8	+1	+2	-0.6
2028	39	MLB CTX	BOS	100%	80	72	16	4	0	2	7	17	1	0	0	238	315	402	717	163	275	21	9	319	98	-0	+0	-8	+1	+2	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4965	4210	993	187	7	196	686	1141	27	13	7	236	347	423	770	187	274	23	14	343	115	+109	-0	+194	+97	+108	51.8
/ 162G	—	A+C		—	650	551	130	24	1	26	90	149	4	2	1	236	348	425	773	189	273	23	14	343	115	+14	-0	+25	+13	+14	6.8
Career	—	MLE		—	6102	5232	1252	257	7	215	781	1416	38	16	9	239	342	414	757	175	284	23	13	339	115	+110	+0	+194	+99	+110	52.3
/ 162G	—	MLE		—	650	557	133	27	1	23	83	151	4	2	1	239	342	415	756	176	284	23	13	339	115	+14	+0	+25	+13	+14	6.7

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 AAAWorcester Red Sox · 94 PAwOBA .345 → .266 (−79)K% 16.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.96%	÷1.013	×1.200	—	—	18.91%
BB% (unintentional) /PA	13.83%	÷1.042	×0.690	—	×0.940	8.61%
HBP% /PA	2.13%	—	×0.940	—	×0.940	1.88%
Singles /BIP	20.63%	÷1.060	×0.930	×0.999	×0.940	17.00%
Doubles /BIP	7.94%	÷0.991	×0.830	×0.999	×0.940	6.25%
Triples /BIP	0.00%	÷1.000	×0.970	×0.999	×0.940	0.00%
Home runs /BIP	3.17%	÷0.984	×0.700	—	×0.940	2.12%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 112, 2B 98, 3B 100, K 103, BB 108 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .345 → .266; ISO .141 → .107; BABIP .290 → .234. 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 AAAIndianapolis Indians · 38 PAwOBA .312 → .235 (−77)K% 21.1% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.948	×1.200	—	—	26.66%
BB% (unintentional) /PA	7.89%	÷0.977	×0.690	—	×0.940	5.24%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	22.22%	÷1.009	×0.930	—	×0.940	19.26%
Doubles /BIP	7.41%	÷1.050	×0.830	—	×0.940	5.50%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	3.70%	÷0.909	×0.700	—	×0.940	2.68%

Factors used: league row International League. Park (home-season share, regressed): HR 82, 1B 102, 2B 110, 3B 130, K 90, BB 95 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .312 → .235; ISO .143 → .100; BABIP .308 → .254. 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 AAACharlotte Knights · 38 PAwOBA .487 → .363 (−124)K% 5.3% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.26%	÷0.975	×1.200	—	—	6.48%
BB% (unintentional) /PA	23.68%	÷1.028	×0.690	—	×0.940	14.94%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	29.63%	÷1.003	×0.930	—	×0.940	25.83%
Doubles /BIP	3.70%	÷1.028	×0.830	—	×0.940	2.81%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	7.41%	÷1.421	×0.700	—	×0.940	3.43%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .487 → .363; ISO .241 → .135; BABIP .360 → .297. 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 AAACharlotte Knights · 25 PAwOBA .355 → .255 (−100)K% 32.0% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.00%	÷1.011	×1.200	—	—	37.99%
BB% (unintentional) /PA	8.00%	÷1.053	×0.690	—	×0.942	4.94%
HBP% /PA	4.00%	—	×0.940	—	×0.942	3.54%
Singles /BIP	28.57%	÷0.986	×0.930	—	×0.942	25.38%
Doubles /BIP	7.14%	÷1.128	×0.830	—	×0.942	4.95%
Triples /BIP	0.00%	÷1.020	×0.920	—	×0.942	0.00%
Home runs /BIP	7.14%	÷1.190	×0.700	—	×0.942	3.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .355 → .255; ISO .182 → .102; BABIP .385 → .316. 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 AAAOklahoma City Dodgers · 15 PAwOBA .430 → .343 (−88)K% 20.0% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.984	×1.290	—	—	26.21%
BB% (unintentional) /PA	33.33%	÷1.095	×0.710	—	×1.003	21.68%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	28.57%	÷1.028	×0.900	—	×1.003	25.09%
Doubles /BIP	14.29%	÷0.965	×0.810	—	×1.003	12.03%
Triples /BIP	0.00%	÷0.941	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷0.866	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .430 → .343; ISO .100 → .094; BABIP .429 → .371. 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).

2013 AAATucson Padres · 38 PAwOBA .320 → .257 (−63)K% 21.1% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.933	×1.290	—	—	29.11%
BB% (unintentional) /PA	5.26%	÷1.045	×0.710	—	×1.033	3.69%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	28.57%	÷1.023	×0.900	—	×1.033	25.95%
Doubles /BIP	10.71%	÷0.963	×0.810	—	×1.033	9.31%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷0.901	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 105, 2B 93, 3B 130, K 87, BB 109 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .320 → .257; ISO .083 → .066; BABIP .393 → .353. 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).

2012 AAATucson Padres · 235 PAwOBA .414 → .355 (−59)K% 14.9% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.979	×1.290	—	—	19.62%
BB% (unintentional) /PA	14.04%	÷1.052	×0.710	—	×1.048	9.93%
HBP% /PA	0.85%	—	×0.980	—	×1.048	0.87%
Singles /BIP	25.79%	÷1.007	×0.900	×0.999	×1.048	24.12%
Doubles /BIP	11.32%	÷1.013	×0.810	×0.999	×1.048	9.48%
Triples /BIP	0.00%	÷1.150	×0.810	×0.999	×1.048	0.00%
Home runs /BIP	3.77%	÷1.050	×0.780	—	×1.048	2.94%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 101, 2B 103, 3B 130, K 96, BB 110 — 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 ×0.999.

Result: wOBA .414 → .355; ISO .186 → .154; BABIP .381 → .342. 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).

2011 A+Bakersfield Blaze · 251 PAwOBA .399 → .316 (−83)K% 22.7% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.71%	÷0.993	×1.340	—	—	30.65%
BB% (unintentional) /PA	16.33%	÷1.003	×0.710	—	×0.998	11.54%
HBP% /PA	0.40%	—	×0.790	—	×0.998	0.31%
Singles /BIP	24.83%	÷0.981	×0.910	×0.977	×0.998	22.46%
Doubles /BIP	9.40%	÷1.009	×0.820	×0.977	×0.998	7.45%
Triples /BIP	0.00%	÷0.900	×0.760	×0.977	×0.998	0.00%
Home runs /BIP	6.71%	÷1.122	×0.920	—	×0.998	5.49%

Factors used: league row CAL. Park (home-season share, regressed): HR 124, 1B 96, 2B 102, 3B 80, K 99, BB 101 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .399 → .316; ISO .214 → .168; BABIP .359 → .310. 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
#1Miguel Monterolast yr '17 career totals — 11 seasons, 4,313 PA	6.5	4,313	126	5	257	340	413	+77	+177	44.5	41.4
/162	664	19	1	+11.9	+27.2	6.8	pk7: 38
#2Darrell Porter'71-'87 * career totals — 17 seasons, 6,570 PA	9.9	6,570	188	39	244*	354*	443*	+92	+0	43.8	36.9
/162	664	19	4	+9.3	+0.0	4.4	pk7: 30
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	7.5	4,995	197	14	237	344	426	+86	+217	33.7	30.2
/162	664	26	2	+11.4	+28.8	4.5	pk7: 27
#3Darren Daulton'83-'97 * career totals — 12 seasons, 4,336 PA	6.5	4,336	137	50	240*	353*	446*	+61	+2	30.6	29.0
/162	664	21	8	+9.4	+0.3	4.7	pk7: 27
#4David Rosslast yr '16 career totals — 14 seasons, 2,631 PA	4.0	2,631	105	3	229	316	422	+47	+157	30.3	25.8
/162	664	26	1	+11.9	+39.7	7.7	pk7: 21
#5Tyler Flowerslast yr '20 career totals — 10 seasons, 2,741 PA	4.1	2,741	86	2	238	319	394	+49	+142	27.5	25.8
/162	664	21	0	+11.9	+34.4	6.7	pk7: 24
#6Jason Varitek'97-'11 * career totals — 14 seasons, 5,839 PA	8.8	5,839	193	25	246*	331*	425*	+102	+0	28.9	25.6
/162	664	22	3	+11.6	+0.0	3.3	pk7: 22

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
Yasmani Grandal (OGILVIE)	38	—	—	—	—	241/320/417	176	276	3	1	20%	9%	109	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gregg Zaun 2008 · MLB	37	49→51	50	38→45	60	247/335/408	161	263	17	2	14%	11%	112	+2.2	248/334/396	148	272	15	4	14%	11%	109	+2.0	250/342/386	137	275	14	2	14%	11%	110	+0.8
✕Jason Varitek 2009 · MLB	37	46→56	50→60	38→45	53	234/322/386	152	286	18	2	24%	10%	102	+1.5	222/304/401	179	263	22	3	24%	10%	99	+1.2	209/292/402	193	238	24	0	24%	10%	96	+0.5
✕Greg Norton 2008 · MLB	36	51	51→60	36→40	55	255/337/415	160	301	19	4	22%	11%	114	+2.3	243/337/377	134	295	14	6	21%	12%	105	+1.7	235/341/360	124	284	12	3	20%	13%	104	+0.5
✕Bernie Williams 2006 · MLB	37	51→61	49→60	37→50	59	254/335/397	143	272	17	3	14%	11%	109	+2.0	260/318/407	147	279	16	5	13%	8%	105	+1.7	273/320/424	151	289	16	3	11%	6%	110	+1.6
✕Ben Zobrist 2019 · MLB	38	55→62	47→60	41→55	60	269/350/412	144	290	14	5	13%	11%	118	+2.6	256/338/374	118	289	11	6	14%	11%	104	+1.6	240/339/292	52	279	3	0	14%	13%	87	+0.1
✕Mendy López 2012 · AAA	38	48→54	53→55	39→30	48	246/316/414	168	313	22	3	28%	9%	106	+1.8	226/304/395	169	285	23	4	28%	9%	97	+1.1	207/293/369	162	253	24	1	28%	10%	88	+0.3
✕A.J. Pierzynski 2016 · MLB	39	55→62	46→55	36→40	45	272/308/398	126	289	14	2	12%	4%	99	+1.2	243/283/359	116	263	11	5	12%	4%	80	-0.1	213/237/295	82	233	5	2	11%	2%	48	-1.1
●Torii Hunter 2012 · MLB	37	53→63	53→65	40→55	53	272/340/448	176	303	21	9	18%	9%	122	+3.0	293/341/451	158	343	18	6	19%	6%	124	+3.1	300/342/456	155	349	17	5	18%	5%	126	+3.2
●Raul Ibanez 2009 · MLB	37	56→60	54→60	38→45	51	284/339/473	189	309	21	2	16%	8%	128	+3.3	267/326/466	199	297	23	4	18%	8%	121	+2.9	256/316/454	197	285	23	3	19%	8%	116	+2.4
✕José Hernández 2006 · MLB	37	47→57	50→55	41→45	45	242/299/391	150	302	19	5	26%	7%	95	+0.9	234/289/361	127	295	14	6	25%	7%	84	+0.1	230/285/340	110	295	11	6	25%	6%	75	-0.3
✕Damion Easley 2008 · MLB	38	49→52	55	43→50	53	253/330/435	181	265	24	5	16%	8%	116	+2.5	257/320/390	133	277	15	5	13%	7%	102	+1.5	265/320/365	100	285	10	0	11%	5%	96	+0.6
✕Kurt Suzuki 2021 · MLB	37	51→60	54→60	44→45	51	261/329/439	178	268	22	4	13%	7%	117	+2.6	227/302/364	137	254	16	4	18%	7%	90	+0.6	203/281/317	114	228	14	0	18%	7%	73	-0.2
✕Pedro Castellano 2008 · AAA	38	51→61	48→50	38→45	49	252/306/393	141	275	15	3	15%	6%	97	+1.1	266/312/385	119	305	12	4	16%	6%	97	+1.1	275/321/383	108	318	11	3	17%	6%	100	+0.9
●Matt Stairs 2006 · MLB	38	53→55	54→65	41→45	58	269/354/453	184	296	21	3	17%	11%	128	+3.4	261/337/451	190	295	22	3	19%	10%	122	+2.9	257/331/450	193	292	24	2	20%	9%	121	+1.9
✕Hideki Matsui 2012 · MLB	38	51→59	51→60	39→40	57	258/333/419	161	279	19	2	16%	10%	113	+2.3	224/288/350	126	258	14	5	19%	8%	81	-0.1	143/192/203	60	171	8	0	22%	6%	11	-1.4
✕Jed Lowrie 2022 · MLB	38	48→58	50→55	46→40	52	244/314/402	158	286	18	3	21%	9%	103	+1.5	228/296/368	140	270	16	6	21%	9%	88	+0.4	185/250/283	97	217	13	3	21%	8%	51	-0.8
✕Robinson Chirinos 2021 · MLB	37	44→46	53→60	43→50	50	226/326/403	178	292	21	4	29%	10%	108	+1.9	217/302/373	156	293	18	5	30%	9%	92	+0.7	192/283/338	146	265	17	2	32%	9%	78	-0.1
●Devon White 2001 · MLB	38	51→55	48→55	41→55	47	253/305/390	137	289	16	11	19%	6%	96	+1.0	265/329/435	170	316	19	19	22%	7%	116	+2.5	275/340/455	181	331	19	25	22%	6%	126	+2.3
✕Casey Blake 2011 · MLB	37	52→54	51→60	37→45	49	259/328/429	170	309	18	3	22%	8%	114	+2.3	245/321/388	143	307	15	5	24%	9%	101	+1.4	234/322/345	110	305	9	2	24%	10%	95	+0.4
✕Saul Soto 2016 · AAA	37	48→58	47→55	42→45	53	242/318/371	129	281	15	3	20%	9%	97	+1.1	242/317/351	109	283	10	4	17%	10%	92	+0.7	223/298/330	107	264	11	2	19%	9%	78	-0.2

Yasmani Grandal

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps