Carlos Santana

1B Gwinnett Stripers

Age 41 S/R 5'10" / 210 lbs AAA Svc 16.198 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	38	MLBMIN	594	.238/.329/.420	23	4	110	1.6
2025	39	MLBCHC	474	.219/.311/.325	11	7	83	-0.4
2026	40	AAA/ROKATL	166	.236/.352/.336	4	2	52	—	.204/.285/.280
2026	40	MLBARI	26	.083/.154/.125	0	0	-24	-0.9
2027PROJ10% MLB	41	MLBATL	17	.221/.306/.357	0	0	89	0.0

Last 3 seasons WAR 0.2 · Next 1 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service16.198First FA2028Options3

2027Ext / FA-deal$1M

Skills · percentileStatcast 2024-2026

xwOBA52

Bat Spd52

Avg EV41

Barrel%34

Speed10

CompsRay Martinez (age 40) · Robert Perez (age 40) · Julian Yan (age 42)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8989vR 89

AVG/OBP/SLG.221 / .306 / .357

PA17

HR0

K%18

BB%12

BABIP251

ISO67

MLB%10%

Value2027 · WAR

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

230.229

POWER

Barrel%

346.1

Avg EV

4188.5

Bat Spd

5271.6

SPEED

Sprint

1023.7

Platoon Splits2024-2026 · 1090 PA

vs LHP

vs RHP

Edge

311

779

—

wRC+

123

◀◀L

wOBA

351

289

◀◀L

ISO

208

121

◀◀L

BABIP

269

240

◀L

17.4%

18.5%

◀L

BB%

9.3%

10.9%

▶R

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

Status FA

MLB Debut 2010

Service 16.198 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

Options · projected decision
2027	CLUB OPT	$1.1M / $0.0M buyout	DECLINE
2028	CLUB OPT	$17.5M / $0.5M buyout	DECLINE
2029	CLUB OPT	$1.1M / $0.0M buyout	DECLINE

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)
2005	19	ROK	GCL Dodgers	—	97	78	23	4	1	1	16	8	1	0	2	295	421	410	831	115	310	8	16	372	75	—	—	—	—	—	—
2006	20	A+	Vero Beach Dodgers	—	223	198	53	10	2	3	23	43	1	0	3	268	347	384	731	116	327	19	10	330	73	—	—	—	—	—	—
2006	20	ROK	Ogden Raptors	—	168	132	40	5	1	7	30	19	1	4	0	303	436	515	951	212	297	11	18	409	99	—	—	—	—	—	—
2007	21	A	Great Lakes Loons	—	334	292	65	20	1	7	40	45	1	5	3	223	318	370	688	147	242	13	12	311	53	—	—	—	—	—	—
2008	22	A+	Kinston Indians	—	560	455	150	39	5	20	89	83	4	10	4	330	443	569	1.013	240	359	15	16	433	135	—	—	—	—	—	—
2009	23	AA	Akron Aeros	—	535	428	124	30	2	23	90	83	7	2	2	290	421	530	951	241	304	16	17	411	128	—	—	—	—	—	—
2010	24	MLB	Cleveland Indians	—	192	150	39	13	0	6	37	29	1	3	0	260	410	467	876	207	277	15	19	385	140	+9	+1	+3	+8	+4	2.5
2010	24	AAA	Columbus Clippers	—	246	196	62	14	1	13	45	39	3	6	0	316	451	597	1.048	281	336	16	18	451	149	—	—	—	—	—	—
2011	25	MLB	Cleveland Indians	—	658	552	132	35	2	27	97	133	2	5	3	239	355	457	811	217	263	20	15	357	123	+18	-0	-33	+12	+14	1.1
2012	26	MLB	Cleveland Indians	—	609	507	128	27	2	18	91	101	3	3	5	252	369	420	790	168	278	17	15	352	121	+15	-1	-19	+12	+13	2.1
2012	26	INTL	Leones del Escogido	—	86	71	14	4	0	0	14	20	0	2	0	197	329	254	583	56	269	23	16	279	75	—	—	—	—	—	—
2013	27	MLB	Cleveland Indians	—	642	541	145	39	1	20	93	110	4	3	1	268	379	455	834	187	301	17	14	371	132	+24	+0	-13	+12	+14	3.9
2013	27	INTL	Leones del Escogido	—	36	32	10	1	0	1	4	5	0	0	0	312	389	438	826	125	346	14	11	372	138	—	—	—	—	—	—
2014	28	MLB	Cleveland Indians	—	660	541	125	25	0	27	113	124	3	5	2	231	367	427	794	196	249	19	17	357	123	+18	+0	-15	-12	+14	0.6
2015	29	MLB	Cleveland Indians	—	666	550	127	29	2	19	108	122	3	11	3	231	360	395	755	164	261	18	16	341	111	+9	+1	-6	-12	+14	0.7
2016	30	MLB	Cleveland Indians	—	688	582	151	31	3	34	99	99	2	5	2	259	369	498	867	239	258	14	14	379	143	+35	+0	-4	-12	+15	3.5
2017	31	MLB	Cleveland Indians	—	667	571	148	37	3	23	88	94	6	5	1	259	364	455	819	196	274	14	13	364	128	+23	+1	+1	-12	+14	2.7
2018	32	MLB	Philadelphia Phillies	—	679	560	128	28	2	24	110	93	1	2	1	229	356	414	770	186	231	14	16	344	112	+10	+0	-0	-12	+15	1.2
2019	33	MLB	Cleveland Indians	—	686	573	161	30	1	34	108	108	3	4	0	281	398	515	912	234	293	16	16	401	149	+40	+1	-5	-12	+15	4.0
2020	34	MLB	Cleveland Indians	—	255	206	41	7	0	8	47	43	1	0	0	199	350	350	700	150	212	17	18	324	103	+1	+0	-1	-5	+6	0.1
2021	35	MLB	Kansas City Royals	—	659	565	121	15	0	19	86	102	3	2	0	214	321	342	663	127	227	15	13	303	93	-5	+0	-5	-12	+14	-0.8
2022	36	MLB	Seattle Mariners	—	506	431	87	18	0	19	71	88	2	0	0	202	317	376	693	174	209	17	14	314	99	-1	+0	-1	-9	+11	0.1
2023	37	MLB	Milwaukee Brewers	—	619	550	132	33	1	23	65	104	0	6	0	240	320	429	749	189	255	17	11	331	111	+8	+1	-3	-11	+13	1.0
2024	38	MLB	Minnesota Twins	—	594	521	124	26	0	23	65	99	6	4	0	238	329	420	750	182	252	17	11	335	110	+7	+1	+5	-11	+13	1.6
2025	39	MLB	Chicago Cubs	—	474	415	91	11	0	11	52	91	3	7	0	219	311	325	636	106	252	19	11	291	83	-10	+1	+2	-8	+10	-0.4
2026	40	MLB	Arizona Diamondbacks	—	26	24	2	1	0	0	2	8	0	0	0	83	154	125	279	42	125	31	8	138	-24	-4	+0	-2	-3	+1	-0.9
2026	40	AAA	Gwinnett Stripers	—	145	125	29	2	0	3	18	29	1	2	0	232	333	320	653	88	277	20	12	302	45	—	—	—	—	—	—
2026	40	ROK	FCL Braves	—	21	15	4	0	0	1	2	2	4	0	0	267	476	467	943	200	250	10	10	435	99	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	9280	7839	1882	405	17	335	1332	1548	43	65	18	240	353	424	778	184	257	17	14	347	121	+234	+6	-96	-87	+201	26.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	ROK MLE	GCL Dodgers	—	97	85	19	3	1	1	9	12	1	0	2	224	305	318	623	94	236	12	9	279	75	—	—	—	—	—	—
2006	20	A+ MLE	Vero Beach Dodgers	—	223	203	47	9	2	3	18	61	1	0	3	232	297	340	637	108	311	27	8	276	73	—	—	—	—	—	—
2006	20	ROK MLE	Ogden Raptors	—	168	144	35	4	1	6	18	27	1	4	0	243	331	410	741	167	233	16	11	314	99	—	—	—	—	—	—
2007	21	A MLE	Great Lakes Loons	—	334	304	56	16	1	6	28	61	1	5	3	184	255	303	558	118	212	18	8	246	53	—	—	—	—	—	—
2008	22	A+ MLE	Kinston Indians	—	560	490	141	34	4	19	54	118	4	10	4	288	363	490	853	202	325	21	10	367	135	—	—	—	—	—	—
2009	23	AA MLE	Akron Aeros	—	535	458	120	27	2	20	60	101	7	2	2	262	356	461	817	199	281	19	11	357	128	—	—	—	—	—	—
2010	24	MLB MLE	Cleveland Indians	—	192	152	39	13	0	6	35	29	1	3	0	257	399	461	859	204	277	15	18	376	140	+9	+1	+3	+8	+4	2.5
2010	24	AAA MLE	Columbus Clippers	—	246	211	59	12	1	12	30	46	3	6	0	280	377	517	894	237	303	19	12	389	149	—	—	—	—	—	—
2011	25	MLB MLE	Cleveland Indians	—	658	559	131	34	2	27	90	133	2	5	3	234	343	447	790	213	263	20	14	350	123	+18	-0	-33	+12	+14	1.1
2012	26	MLB MLE	Cleveland Indians	—	609	511	128	27	2	18	87	101	3	3	5	250	363	417	780	166	278	17	14	347	121	+15	-1	-19	+12	+13	2.1
2013	27	MLB MLE	Cleveland Indians	—	642	547	144	38	1	20	87	110	4	3	1	263	368	446	814	183	301	17	14	363	132	+24	+0	-13	+12	+14	3.9
2014	28	MLB MLE	Cleveland Indians	—	660	546	125	25	0	27	108	124	3	5	2	229	359	423	782	194	249	19	16	351	123	+18	+0	-15	-12	+14	0.6
2015	29	MLB MLE	Cleveland Indians	—	666	558	127	29	2	19	100	122	3	11	3	228	348	389	737	161	261	18	15	333	111	+9	+1	-6	-12	+14	0.7
2016	30	MLB MLE	Cleveland Indians	—	688	582	152	31	4	34	99	99	2	5	2	261	370	503	874	242	258	14	14	380	143	+35	+0	-4	-12	+15	3.5
2017	31	MLB MLE	Cleveland Indians	—	667	577	148	36	4	23	82	94	6	5	1	256	355	452	807	196	274	14	12	358	128	+23	+1	+1	-12	+14	2.7
2018	32	MLB MLE	Philadelphia Phillies	—	679	566	127	29	2	22	104	93	1	2	1	224	346	399	745	175	231	14	15	334	112	+10	+0	-0	-12	+15	1.2
2019	33	MLB MLE	Cleveland Indians	—	686	585	161	30	1	34	96	108	3	4	0	275	380	504	884	229	293	16	14	389	149	+40	+1	-5	-12	+15	4.0
2020	34	MLB MLE	Cleveland Indians	—	255	207	41	7	0	8	46	43	1	0	0	198	346	348	694	150	212	17	18	321	103	+1	+0	-1	-5	+6	0.1
2021	35	MLB MLE	Kansas City Royals	—	659	568	124	15	0	21	83	102	3	2	0	218	321	356	677	137	227	15	13	306	93	-5	+0	-5	-12	+14	-0.8
2022	36	MLB MLE	Seattle Mariners	—	506	433	87	18	0	19	69	88	2	0	0	201	313	374	688	173	209	17	14	314	99	-1	+0	-1	-9	+11	0.1
2023	37	MLB MLE	Milwaukee Brewers	—	619	550	133	35	1	22	65	104	0	6	0	242	322	429	751	187	255	17	11	333	111	+8	+1	-3	-11	+13	1.0
2024	38	MLB MLE	Minnesota Twins	—	594	524	124	26	0	23	62	99	6	4	0	237	324	418	742	181	252	17	10	331	110	+7	+1	+5	-11	+13	1.6
2025	39	MLB MLE	Chicago Cubs	—	474	416	91	11	0	11	51	91	3	7	0	219	309	325	633	106	252	19	11	290	83	-10	+1	+2	-8	+10	-0.4
2026	40	MLB MLE	Arizona Diamondbacks	—	26	24	2	1	0	0	2	8	0	0	0	83	154	125	279	42	125	31	8	132	-24	-4	+0	-2	-3	+1	-0.9
2026	40	AAA MLE	Gwinnett Stripers	—	145	132	26	2	0	2	11	35	1	2	0	197	264	258	521	61	240	24	8	234	45	—	—	—	—	—	—
2026	40	ROK MLE	FCL Braves	—	21	16	4	0	0	1	1	3	4	0	0	250	429	438	866	188	189	14	5	314	99	—	—	—	—	—	—
2005	19	ROK MLE	GCL Dodgers	—	97	85	19	3	1	1	9	12	1	0	2	224	305	318	623	94	243	12	9	279	75	—	—	—	—	—	—
2005	19	ROK RAW	GCL Dodgers	—	97	78	23	4	1	1	16	8	1	0	2	295	421	410	831	115	310	8	16	372	75	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	391	347	80	13	2	8	36	88	2	4	3	231	306	349	655	118	280	23	9	292	84	—	—	—	—	—	—
2006	20	A+ RAW	2 teams	—	391	330	93	15	3	10	53	62	2	4	3	282	384	436	821	155	314	16	14	364	84	—	—	—	—	—	—
2007	21	A MLE	Great Lakes Loons	—	334	304	56	16	1	6	28	61	1	5	3	184	255	303	558	118	211	18	8	246	53	—	—	—	—	—	—
2007	21	A RAW	Great Lakes Loons	—	334	292	65	20	1	7	40	45	1	5	3	223	318	370	688	147	242	13	12	311	53	—	—	—	—	—	—
2008	22	A+ MLE	Kinston Indians	—	560	490	141	34	4	19	54	118	4	10	4	288	363	490	853	202	336	21	10	367	135	—	—	—	—	—	—
2008	22	A+ RAW	Kinston Indians	—	560	455	150	39	5	20	89	83	4	10	4	330	443	569	1.013	240	359	15	16	433	135	—	—	—	—	—	—
2009	23	AA MLE	Akron Aeros	—	535	458	120	27	2	20	60	101	7	2	2	262	356	461	817	199	288	19	11	357	128	—	—	—	—	—	—
2009	23	AA RAW	Akron Aeros	—	535	428	124	30	2	23	90	83	7	2	2	290	421	530	951	241	304	16	17	411	128	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	438	363	98	25	1	18	65	75	4	9	0	270	387	493	880	223	290	17	15	383	145	—	—	—	—	—	—
2010	24	AAA RAW	2 teams	—	438	346	101	27	1	19	82	68	4	9	0	292	433	540	973	249	309	16	19	422	145	—	—	—	—	—	—
2011	25	MLB MLE	Cleveland Indians	—	658	559	131	34	2	27	90	133	2	5	3	234	343	447	790	213	256	20	14	350	123	+18	-0	-33	+12	+14	1.1
2011	25	MLB RAW	Cleveland Indians	—	658	552	132	35	2	27	97	133	2	5	3	239	355	457	811	217	263	20	15	357	123	+18	-0	-33	+12	+14	1.1
2012	26	MLB MLE	2 teams	—	695	584	146	30	3	21	99	115	3	5	5	250	362	420	781	170	274	17	14	347	121	+18	-1	-19	+12	+15	2.5
2012	26	MLB RAW	2 teams	—	695	578	142	31	2	18	105	121	3	5	5	246	364	400	764	154	277	17	15	343	121	+18	-1	-19	+12	+15	2.5
2013	27	MLB MLE	2 teams	—	678	578	153	41	1	21	92	116	4	3	1	265	369	448	818	183	297	17	14	363	132	+26	+0	-13	+12	+15	4.1
2013	27	MLB RAW	2 teams	—	678	573	155	40	1	21	97	115	4	3	1	271	380	454	834	183	304	17	14	371	132	+26	+0	-13	+12	+15	4.1
2014	28	MLB MLE	Cleveland Indians	—	660	546	125	25	0	27	108	124	3	5	2	229	359	423	782	194	246	19	16	351	123	+18	+0	-15	-12	+14	0.6
2014	28	MLB RAW	Cleveland Indians	—	660	541	125	25	0	27	113	124	3	5	2	231	367	427	794	196	249	19	17	357	123	+18	+0	-15	-12	+14	0.6
2015	29	MLB MLE	Cleveland Indians	—	666	558	127	29	2	19	100	122	3	11	3	228	348	389	737	161	256	18	15	333	111	+9	+1	-6	-12	+14	0.7
2015	29	MLB RAW	Cleveland Indians	—	666	550	127	29	2	19	108	122	3	11	3	231	360	395	755	164	261	18	16	341	111	+9	+1	-6	-12	+14	0.7
2016	30	MLB MLE	Cleveland Indians	—	688	582	152	31	4	34	99	99	2	5	2	261	370	503	874	242	260	14	14	380	143	+35	+0	-4	-12	+15	3.5
2016	30	MLB RAW	Cleveland Indians	—	688	582	151	31	3	34	99	99	2	5	2	259	369	498	867	239	258	14	14	379	143	+35	+0	-4	-12	+15	3.5
2017	31	MLB MLE	Cleveland Indians	—	667	577	148	36	4	23	82	94	6	5	1	256	355	452	807	196	271	14	12	358	128	+23	+1	+1	-12	+14	2.7
2017	31	MLB RAW	Cleveland Indians	—	667	571	148	37	3	23	88	94	6	5	1	259	364	455	819	196	274	14	13	364	128	+23	+1	+1	-12	+14	2.7
2018	32	MLB MLE	Philadelphia Phillies	—	679	566	127	29	2	22	104	93	1	2	1	224	346	399	745	175	229	14	15	334	112	+10	+0	-0	-12	+15	1.2
2018	32	MLB RAW	Philadelphia Phillies	—	679	560	128	28	2	24	110	93	1	2	1	229	356	414	770	186	231	14	16	344	112	+10	+0	-0	-12	+15	1.2
2019	33	MLB MLE	Cleveland Indians	—	686	585	161	30	1	34	96	108	3	4	0	275	380	504	884	229	285	16	14	389	149	+40	+1	-5	-12	+15	4.0
2019	33	MLB RAW	Cleveland Indians	—	686	573	161	30	1	34	108	108	3	4	0	281	398	515	912	234	293	16	16	401	149	+40	+1	-5	-12	+15	4.0
2020	34	MLB MLE	Cleveland Indians	—	255	207	41	7	0	8	46	43	1	0	0	198	346	348	694	150	210	17	18	321	103	+1	+0	-1	-5	+6	0.1
2020	34	MLB RAW	Cleveland Indians	—	255	206	41	7	0	8	47	43	1	0	0	199	350	350	700	150	212	17	18	324	103	+1	+0	-1	-5	+6	0.1
2021	35	MLB MLE	Kansas City Royals	—	659	568	124	15	0	21	83	102	3	2	0	218	321	356	677	137	229	15	13	306	93	-5	+0	-5	-12	+14	-0.8
2021	35	MLB RAW	Kansas City Royals	—	659	565	121	15	0	19	86	102	3	2	0	214	321	342	663	127	227	15	13	303	93	-5	+0	-5	-12	+14	-0.8
2022	36	MLB MLE	Seattle Mariners	—	506	433	87	18	0	19	69	88	2	0	0	201	313	374	688	173	207	17	14	314	99	-1	+0	-1	-9	+11	0.1
2022	36	MLB RAW	Seattle Mariners	—	506	431	87	18	0	19	71	88	2	0	0	202	317	376	693	174	209	17	14	314	99	-1	+0	-1	-9	+11	0.1
2023	37	MLB MLE	Milwaukee Brewers	—	619	550	133	35	1	22	65	104	0	6	0	242	322	429	751	187	259	17	11	333	111	+8	+1	-3	-11	+13	1.0
2023	37	MLB RAW	Milwaukee Brewers	—	619	550	132	33	1	23	65	104	0	6	0	240	320	429	749	189	255	17	11	331	111	+8	+1	-3	-11	+13	1.0
2024	38	MLB MLE	Minnesota Twins	—	594	524	124	26	0	23	62	99	6	4	0	237	324	418	742	181	250	17	10	331	110	+7	+1	+5	-11	+13	1.6
2024	38	MLB RAW	Minnesota Twins	—	594	521	124	26	0	23	65	99	6	4	0	238	329	420	750	182	252	17	11	335	110	+7	+1	+5	-11	+13	1.6
2025	39	MLB MLE	Chicago Cubs	—	474	416	91	11	0	11	51	91	3	7	0	219	309	325	633	106	252	19	11	290	83	-10	+1	+2	-8	+10	-0.4
2025	39	MLB RAW	Chicago Cubs	—	474	415	91	11	0	11	52	91	3	7	0	219	311	325	636	106	252	19	11	291	83	-10	+1	+2	-8	+10	-0.4
2026	40	AAA MLE	3 teams	—	192	172	31	3	0	3	14	46	5	2	0	180	262	250	512	70	226	24	7	229	41	—	—	—	—	—	—
2026	40	AAA RAW	3 teams	—	192	164	35	3	0	4	22	39	5	2	0	213	325	305	629	91	254	20	11	294	41	—	—	—	—	—	—
2005	19	ROK MLE	GCL Dodgers	—	97	87	19	3	1	1	9	12	1	0	2	218	305	310	616	92	236	12	9	279	75	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	391	350	80	13	2	8	36	88	2	4	3	229	306	346	652	117	277	23	9	292	84	—	—	—	—	—	—
2007	21	A MLE	Great Lakes Loons	—	334	302	56	16	1	6	28	61	1	5	3	185	255	305	560	119	212	18	8	246	53	—	—	—	—	—	—
2008	22	A+ MLE	Kinston Indians	—	560	497	141	34	4	19	54	118	4	10	4	284	363	483	846	199	325	21	10	367	135	—	—	—	—	—	—
2009	23	AA MLE	Akron Aeros	—	535	463	120	27	2	20	60	101	7	2	2	259	356	456	812	197	281	19	11	357	128	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	438	366	98	25	1	18	65	75	4	9	0	268	387	489	876	221	292	17	15	383	145	—	—	—	—	—	—
2011	25	MLB MLE	Cleveland Indians	—	658	561	131	34	2	27	90	133	2	5	3	234	343	446	788	212	263	20	14	350	123	—	—	—	—	—	—
2012	26	MLB MLE	2 teams	—	695	588	146	30	3	21	99	115	3	5	5	248	362	417	778	168	278	17	14	347	121	—	—	—	—	—	—
2013	27	MLB MLE	2 teams	—	678	577	153	41	1	21	92	116	4	3	1	265	369	449	818	184	301	17	14	363	132	—	—	—	—	—	—
2014	28	MLB MLE	Cleveland Indians	—	660	544	125	25	0	27	108	124	3	5	2	230	359	425	784	195	249	19	16	351	123	—	—	—	—	—	—
2015	29	MLB MLE	Cleveland Indians	—	666	558	127	29	2	19	100	122	3	11	3	228	348	389	737	161	261	18	15	333	111	—	—	—	—	—	—
2016	30	MLB MLE	Cleveland Indians	—	688	582	152	31	4	34	99	99	2	5	2	261	370	503	874	242	258	14	14	380	143	—	—	—	—	—	—
2017	31	MLB MLE	Cleveland Indians	—	667	574	148	36	4	23	82	94	6	5	1	258	355	455	810	197	274	14	12	358	128	—	—	—	—	—	—
2018	32	MLB MLE	Philadelphia Phillies	—	679	569	127	29	2	22	104	93	1	2	1	223	346	397	743	174	231	14	15	334	112	—	—	—	—	—	—
2019	33	MLB MLE	Cleveland Indians	—	686	582	161	30	1	34	96	108	3	4	0	277	380	507	887	230	293	16	14	389	149	—	—	—	—	—	—
2020	34	MLB MLE	Cleveland Indians	—	255	206	41	7	0	8	46	43	1	0	0	199	346	350	696	150	212	17	18	321	103	—	—	—	—	—	—
2021	35	MLB MLE	Kansas City Royals	—	659	568	124	15	0	21	83	102	3	2	0	218	321	356	677	137	227	15	13	306	93	—	—	—	—	—	—
2022	36	MLB MLE	Seattle Mariners	—	506	430	87	18	0	19	69	88	2	0	0	202	313	377	690	174	209	17	14	314	99	—	—	—	—	—	—
2023	37	MLB MLE	Milwaukee Brewers	—	619	549	133	35	1	22	65	104	0	6	0	242	322	430	752	188	255	17	11	333	111	—	—	—	—	—	—
2024	38	MLB MLE	Minnesota Twins	—	594	521	124	26	0	23	62	99	6	4	0	238	324	420	745	182	252	17	10	331	110	—	—	—	—	—	—
2025	39	MLB MLE	Chicago Cubs	—	474	417	91	11	0	11	51	91	3	7	0	218	309	324	632	106	252	19	11	290	83	—	—	—	—	—	—
2026	40	AAA MLE	3 teams	—	192	171	31	3	0	3	14	46	5	2	0	181	262	251	513	70	219	24	7	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	38	MLB MLE	Minnesota Twins	—	594	521	124	26	0	23	62	99	6	4	0	238	324	420	745	182	252	17	10	331	110	—	—	—	—	—	—
2025	39	MLB MLE	Chicago Cubs	—	474	417	91	11	0	11	51	91	3	7	0	218	309	324	632	106	252	19	11	290	83	—	—	—	—	—	—
2026	40	AAA MLE	3 teams	—	192	171	31	3	0	3	14	46	5	2	0	181	262	251	513	70	219	24	7	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	41	MLB MLE	ATL	10%	269	238	52	8	0	8	26	54	3	3	1	221	306	357	663	136	251	20	10	299	89	-4	+0	+4	-5	+6	0.0
▸ 2027 — real world (MLB)
2027	41	MLB CTX	ATL	10%	17	15	3	1	0	0	2	3	0	0	0	221	306	357	663	136	251	18	12	299	89	-0	+0	+0	-0	+0	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	9280	7839	1882	405	17	335	1332	1548	43	65	18	240	353	424	778	184	257	17	14	347	115	+234	+6	-96	-87	+201	26.4
/ 162G	—	A+C		—	650	549	131	28	1	23	93	108	3	5	1	239	352	419	771	180	255	17	14	347	115	+16	+0	-7	-6	+14	1.8
Career	—	MLE		—	11898	10199	2447	523	31	412	1528	2066	68	98	33	240	343	418	761	179	260	17	13	339	115	+232	+6	-93	-90	+205	26.5
/ 162G	—	MLE		—	650	557	135	29	2	23	83	113	4	5	2	242	344	425	770	183	263	17	13	339	115	+16	+0	-6	-6	+14	1.8

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 AAAGwinnett Stripers · 145 PAwOBA .294 → .234 (−60)K% 20.0% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.200	—	—	24.00%
BB% (unintentional) /PA	11.72%	÷1.000	×0.690	—	×0.940	7.60%
HBP% /PA	0.69%	—	×0.940	—	×0.940	0.61%
Singles /BIP	25.00%	÷1.000	×0.930	×1.012	×0.940	22.12%
Doubles /BIP	2.08%	÷1.000	×0.830	×1.012	×0.940	1.65%
Triples /BIP	0.00%	÷1.000	×0.970	×1.012	×0.940	0.00%
Home runs /BIP	3.12%	÷1.000	×0.700	—	×0.940	2.06%

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 40 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (12.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .294 → .234; ISO .088 → .061; BABIP .277 → .240. 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 ROKFCL Braves · 21 PAwOBA .424 → .314 (−110)K% 9.5% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷1.000	×1.440	—	—	13.71%
BB% (unintentional) /PA	9.52%	÷1.000	×0.620	—	×0.940	5.55%
HBP% /PA	19.05%	—	×0.720	—	×0.940	12.89%
Singles /BIP	23.08%	÷1.000	×0.820	—	×0.940	17.79%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.000	×0.780	—	×0.940	5.64%

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 40 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (20.5 yr older than average).

Result: wOBA .424 → .314; ISO .200 → .161; BABIP .250 → .189. 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).

2010 AAAColumbus Clippers · 246 PAwOBA .439 → .389 (−51)K% 15.9% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.85%	÷1.007	×1.200	—	—	18.89%
BB% (unintentional) /PA	16.67%	÷1.004	×0.690	—	×1.048	12.01%
HBP% /PA	1.22%	—	×0.940	—	×1.048	1.20%
Singles /BIP	21.66%	÷1.035	×0.930	×0.997	×1.048	20.33%
Doubles /BIP	8.92%	÷1.038	×0.830	×0.997	×1.048	7.45%
Triples /BIP	0.64%	÷0.900	×0.970	×0.997	×1.048	0.72%
Home runs /BIP	8.28%	÷1.038	×0.840	—	×1.048	7.02%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 107, 2B 108, 3B 80, K 101, BB 101 — 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 ×0.997.

Result: wOBA .439 → .389; ISO .281 → .255; BABIP .336 → .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).

2009 AAAkron Aeros · 535 PAwOBA .405 → .357 (−47)K% 15.5% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.51%	÷1.000	×1.220	—	—	18.93%
BB% (unintentional) /PA	15.51%	÷1.000	×0.700	—	×1.027	11.15%
HBP% /PA	1.31%	—	×0.850	—	×1.027	1.14%
Singles /BIP	20.00%	÷1.000	×0.970	×0.972	×1.027	19.37%
Doubles /BIP	8.70%	÷1.000	×0.860	×0.972	×1.027	7.47%
Triples /BIP	0.58%	÷1.000	×0.950	×0.972	×1.027	0.55%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×1.027	5.34%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .405 → .357; ISO .241 → .211; BABIP .304 → .281. 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).

2008 A+Kinston Indians · 560 PAwOBA .428 → .367 (−61)K% 14.8% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.82%	÷1.000	×1.420	—	—	21.05%
BB% (unintentional) /PA	15.18%	÷1.000	×0.630	—	×1.012	9.68%
HBP% /PA	0.71%	—	×0.860	—	×1.012	0.62%
Singles /BIP	23.12%	÷1.000	×0.940	×0.995	×1.012	21.88%
Doubles /BIP	10.48%	÷1.000	×0.830	×0.995	×1.012	8.76%
Triples /BIP	1.34%	÷1.000	×0.800	×0.995	×1.012	1.08%
Home runs /BIP	5.38%	÷1.000	×0.900	—	×1.012	4.90%

Factors used: league row CAR. 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 ×0.995.

Result: wOBA .428 → .367; ISO .240 → .216; BABIP .359 → .325. 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).

2007 AGreat Lakes Loons · 334 PAwOBA .304 → .246 (−57)K% 13.5% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.47%	÷1.000	×1.360	—	—	18.32%
BB% (unintentional) /PA	11.98%	÷1.000	×0.690	—	×1.015	8.39%
HBP% /PA	0.30%	—	×0.780	—	×1.015	0.24%
Singles /BIP	14.98%	÷1.000	×0.920	×0.979	×1.015	13.70%
Doubles /BIP	8.10%	÷1.000	×0.830	×0.979	×1.015	6.68%
Triples /BIP	0.40%	÷1.000	×0.910	×0.979	×1.015	0.37%
Home runs /BIP	2.83%	÷1.000	×0.800	—	×1.015	2.30%

Factors used: level-wide A 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 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 ×0.979.

Result: wOBA .304 → .246; ISO .147 → .120; BABIP .242 → .212. 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).

2006 A+Vero Beach Dodgers · 223 PAwOBA .323 → .276 (−46)K% 19.3% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.28%	÷1.000	×1.420	—	—	27.38%
BB% (unintentional) /PA	10.31%	÷1.000	×0.750	—	×1.042	8.06%
HBP% /PA	0.45%	—	×0.930	—	×1.042	0.43%
Singles /BIP	24.52%	÷1.000	×0.920	×0.992	×1.042	23.32%
Doubles /BIP	6.45%	÷1.000	×0.960	×0.992	×1.042	6.40%
Triples /BIP	1.29%	÷1.000	×0.810	×0.992	×1.042	1.08%
Home runs /BIP	1.94%	÷1.000	×0.880	—	×1.042	1.77%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 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 .323 → .276; ISO .116 → .100; BABIP .327 → .311. 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).

2006 ROKOgden Raptors · 168 PAwOBA .411 → .314 (−97)K% 11.3% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.31%	÷1.000	×1.440	—	—	16.29%
BB% (unintentional) /PA	17.86%	÷1.000	×0.610	—	×0.995	10.84%
HBP% /PA	0.60%	—	×0.720	—	×0.995	0.43%
Singles /BIP	23.89%	÷1.000	×0.820	×0.996	×0.995	19.42%
Doubles /BIP	4.42%	÷1.000	×0.720	×0.996	×0.995	3.16%
Triples /BIP	0.88%	÷1.000	×0.720	×0.996	×0.995	0.63%
Home runs /BIP	6.19%	÷1.000	×0.750	—	×0.995	4.62%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 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 ×0.996.

Result: wOBA .411 → .314; ISO .212 → .169; BABIP .297 → .233. 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
#1Don Baylor'70-'88 * career totals — 17 seasons, 9,401 PA	14.2	9,401	338	285	258*	343*	466*	-178	-18	33.8	28.9
/162	664	24	20	-12.6	-1.3	2.4	pk7: 24
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 16 projected seasons	14.0	9,271	335	65	242	351	428	-166	-119	32.5	28.3
/162	664	24	5	-11.9	-8.5	2.3	pk7: 24
#2Anthony Rizzolast yr '24 career totals — 14 seasons, 7,336 PA	11.0	7,336	303	72	261	361	467	-131	-79	28.7	27.3
/162	664	27	7	-11.9	-7.1	2.6	pk7: 26
#3John Mayberry'68-'82 * career totals — 13 seasons, 6,446 PA	9.7	6,446	255	20	252*	362*	481*	-118	-39	23.5	23.6
/162	664	26	2	-12.1	-4.0	2.4	pk7: 24
#4Pat Burrell'00-'11 * career totals — 12 seasons, 6,520 PA	9.8	6,520	292	7	244*	349*	460*	-81	-52	23.3	21.9
/162	664	30	1	-8.3	-5.2	2.4	pk7: 20
#5Jeff Burroughs'70-'85 * career totals — 15 seasons, 6,449 PA	9.7	6,449	240	16	258*	356*	478*	-85	-77	20.8	20.5
/162	664	25	2	-8.8	-7.9	2.1	pk7: 20
#6Carlos Penalast yr '14 career totals — 13 seasons, 5,856 PA	8.8	5,856	285	29	231	346	462	-98	-110	14.3	15.3
/162	664	32	3	-11.2	-12.5	1.6	pk7: 16

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
Carlos Santana (OGILVIE)	41	—	—	—	—	219/304/354	135	251	5	2	20%	10%	89	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ray Martinez 2009 · AAA	40	49→52	44→45	44→45	47	240/292/350	109	274	12	7	17%	6%	82	-0.0	261/308/375	114	313	11	8	19%	6%	93	+0.8	302/344/404	101	367	9	6	19%	5%	113	+1.0
✕Robert Perez 2009 · AAA	40	49→52	48→50	47→50	46	248/287/382	134	261	17	10	13%	5%	87	+0.4	246/281/368	122	276	13	12	16%	4%	82	-0.0	255/280/366	111	286	11	12	15%	2%	78	-0.2
✕Julian Yan 2007 · AAA	42	39	53→60	46→45	48	210/282/377	167	252	22	6	27%	9%	86	+0.3	225/281/399	174	263	23	10	24%	7%	90	+0.6	215/268/399	184	239	26	9	23%	6%	83	+0.1
✕Roberto Mendez 2013 · AAA	40	48→56	45	45	52	237/310/358	121	288	12	4	22%	10%	91	+0.6	241/312/341	100	297	8	7	20%	9%	87	+0.4	249/322/324	75	306	4	5	18%	10%	86	+0.1
✕Cornelio Garcia 2006 · AAA	41	56→59	46→40	42→45	51	271/328/409	138	315	11	5	18%	8%	108	+1.9	253/316/341	88	306	6	9	18%	8%	88	+0.5	252/320/308	56	307	3	8	17%	9%	79	-0.1
✕Guillermo Velasquez 2007 · AAA	39	44	45	38→30	49	221/282/339	117	262	14	4	21%	8%	76	-0.4	207/257/304	97	257	9	6	22%	6%	58	-1.7	187/229/255	68	233	5	2	22%	5%	36	-1.6
✕Jose Luis Sandoval 2011 · AAA	41	48→49	42→45	44→40	44	233/278/334	101	268	10	5	18%	5%	72	-0.7	213/256/299	86	259	8	5	20%	5%	56	-1.9	189/221/236	47	242	4	0	23%	4%	25	-2.0
✕Mario Valenzuela 2017 · AAA	40	46→56	44→55	38→40	41	231/274/339	108	290	13	5	25%	5%	72	-0.7	225/279/336	111	290	11	6	25%	7%	74	-0.6	211/270/304	93	274	9	1	25%	7%	61	-0.9
✕Sharnol Adriana 2012 · AAA	41	50→60	44→50	34→60	53	245/320/362	117	280	12	5	17%	9%	96	+1.0	236/303/344	108	281	11	8	19%	8%	84	+0.2	242/303/343	100	289	12	6	20%	7%	81	-0.0
✕Roberto Vizcarra 2007 · AAA	40	56→59	44→45	41→40	49	270/321/386	116	274	12	6	8%	5%	101	+1.4	241/287/348	107	249	12	6	9%	5%	79	-0.2	252/294/345	93	256	13	1	8%	5%	76	-0.3
✕Carlos Sievers 2014 · AAA	39	44→54	44→50	42→45	49	218/282/327	108	251	13	8	19%	7%	73	-0.6	228/289/334	106	266	12	8	18%	7%	78	-0.3	232/295/294	62	263	8	0	15%	7%	69	-0.2
✕Christian Quintero 2015 · AAA	39	46→56	43→45	40→55	48	225/272/333	108	246	10	7	14%	6%	70	-0.8	231/277/315	84	264	7	6	14%	6%	68	-1.0	236/280/293	57	273	3	3	14%	6%	61	-0.8
✕Raul Sanchez 2013 · AAA	40	51→52	41→45	44→50	44	244/290/343	98	289	8	6	18%	5%	79	-0.2	229/293/325	96	281	7	7	20%	7%	77	-0.3	231/309/295	63	284	4	3	18%	7%	73	-0.2
✕Javier Robles 2011 · AAA	41	48→58	46→55	39→50	52	237/296/359	122	247	16	7	13%	7%	86	+0.3	225/285/325	100	257	12	6	17%	7%	74	-0.6	216/278/300	83	248	10	2	17%	7%	63	-0.7
✕Hernando Arredondo 2016 · AAA	39	46→53	45→50	42→50	42	229/269/347	117	268	13	5	20%	4%	72	-0.7	228/272/333	105	293	10	9	25%	5%	70	-0.8	220/240/259	40	290	0	5	24%	3%	35	-0.6
✕Rafael Castaneda 2008 · AAA	40	52→61	42→45	41→40	50	250/295/355	106	264	10	4	10%	6%	84	+0.1	235/298/350	115	261	11	9	14%	7%	84	+0.1	234/314/326	92	256	6	7	10%	9%	82	-0.0
✕Rene Reyes 2017 · AAA	39	51→61	46→50	48→50	49	252/313/387	135	298	12	8	20%	8%	98	+1.2	234/294/366	132	291	14	8	24%	7%	86	+0.3	202/265/308	105	255	16	0	27%	7%	59	-0.5
✕Trenidad Hubbard 2005 · MLB	41	48→52	45→40	49→55	54	236/319/361	124	280	12	18	20%	10%	95	+0.9	240/303/337	97	266	8	21	12%	7%	83	+0.1	242/303/315	73	269	4	28	11%	7%	74	-0.4
✕Noe Munoz 2012 · AAA	41	47→57	41→40	41→40	49	225/280/317	92	257	8	5	16%	7%	70	-0.9	235/290/328	93	287	9	5	20%	7%	76	-0.4	259/310/332	73	319	7	0	20%	7%	80	-0.0
✕Karim Garcia 2015 · AAA	39	42→49	52→60	47→50	40	226/265/384	158	269	21	6	25%	5%	80	-0.1	206/241/308	102	246	11	6	21%	4%	52	-2.2	181/211/238	57	219	6	0	20%	4%	22	-2.0

Carlos Santana

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps