JJ Wetherholt

2B St. Louis Cardinals

Age 24 L/R 5'9" / 190 lbs MLB HR -14%BB -5% Svc 1.000 · Ctrl thru 2034

Overview

MLB40-MANExtFA 2035

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	ASTL	126	.295/.408/.400	2	2	81	—	.245/.336/.336
2025	22	AAA/AASTL	496	.306/.425/.510	17	23	130	—	.281/.376/.449
2026	23	MLBSTL	619	.242/.340/.365	17	14	106	2.6
2027PROJ	24	MLBSTL	565	.260/.353/.396	16	13	117	3.2
2028PROJ	25	MLBSTL	573	.261/.354/.401	17	13	118	3.3
2029PROJ	26	MLBSTL	573	.261/.354/.401	17	13	118	3.3

Last 3 seasons WAR 2.6 · Next 3 projected WAR 9.8Projected rows: MLB playing time only, park and league context applied.

ContractCONFIRMED

Control thru2034Service1.000First FA2035Options1

2027Ext$5M2028Ext$10M2029Ext$14M2030Ext$17M2031Ext$19M2032Ext$21M2033Ext$24M

Skills · percentileStatcast 2026

xwOBA83

Avg EV58

Bat Spd58

Speed52

Barrel%44

Form.248/.327/.370 ▼▼ rolling true talent (60d window) · proj .261/.351/.404

CompsKelly Johnson (age 24) · Andrew Benintendi (age 25) · Aaron Rowand (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 106117vR 120

AVG/OBP/SLG.260 / .353 / .396

PA565

HR16

SB13

K%17

BB%10

BABIP291

ISO135

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$58M ctrl surplus

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

550.255

POWER

Barrel%

447.4

Avg EV

5889.7

Bat Spd

5872.2

SPEED

Sprint

5227.6

Recent Formrolling true talent ⓘ

K%20%▼▼24% over 37 PA (60d) · proj 17%

BB%8%▼▼3% over 37 PA (60d) · proj 10%

ISO.122▼.028 over 36 AB (60d) · proj .143

BABIP.290·.296 over 27 BIP (60d) · proj .290

SLASH.248/.327/.370▼▼proj .261/.351/.404

Platoon Splits2026 · 119 PA

vs LHP

vs RHP

Edge

—

wRC+

133

110

◀◀L

wOBA

365

331

◀L

ISO

188

125

◀◀L

BABIP

292

255

◀L

20.0%

19.0%

▶R

BB%

12.5%

12.7%

—

Contract CONFIRMED · hand-curated extension

Status Pre-Arb

MLB Debut 2026

Service 1.000 yrs.days

Team Control Through 2034

First FA Year 2035

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$5M	+3.6	$37M	+$32M
2028	Ext	$10M	+3.3	$29M	+$20M
2029	Ext	$14M	+3.3	$27M	+$16M
2030	Ext	$17M	+3.2	$24M	+$12M
2031	Ext	$19M	+2.9	$19M	+$6M
2032	Ext	$21M	+2.6	$15M	+$2M
2033	Ext	$24M	+2.2	$11M	-$2M
Totals		$110M		$162M	+$86M

Options · projected decision
2034	CLUB OPT	$28.2M / $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)
2024	21	A	Palm Beach Cardinals	—	126	105	31	5	0	2	16	15	4	2	0	295	408	400	808	105	326	12	13	368	81	—	—	—	—	—	—
2025	22	AAA	Memphis Redbirds	—	221	185	58	14	1	10	28	33	6	9	1	314	420	562	982	249	333	15	13	426	139	—	—	—	—	—	—
2025	22	AA	Springfield Cardinals	—	275	223	67	14	1	7	44	40	6	14	2	300	429	466	895	166	337	15	16	400	122	—	—	—	—	—	—
2026	23	MLB	St. Louis Cardinals	—	619	537	130	15	0	17	64	104	16	14	1	242	340	365	705	123	270	17	10	323	106	+5	+2	+2	+2	+13	2.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	619	537	130	15	0	17	64	104	16	14	1	242	340	365	705	123	270	17	10	323	105	+3	+2	+2	+2	+13	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Palm Beach Cardinals	—	126	110	27	4	0	2	11	21	4	2	0	245	336	336	672	91	273	17	9	288	81	—	—	—	—	—	—
2025	22	AAA MLE	Memphis Redbirds	—	221	192	55	12	1	9	21	42	6	9	1	286	374	500	874	214	317	19	10	374	139	—	—	—	—	—	—
2025	22	AA MLE	Springfield Cardinals	—	275	235	65	14	1	5	32	49	6	14	2	277	377	409	786	132	322	18	12	348	122	—	—	—	—	—	—
2026	23	MLB MLE	St. Louis Cardinals	—	619	539	130	14	0	18	62	104	16	14	1	241	337	367	704	126	270	17	10	325	106	+5	+2	+2	+2	+13	2.6
2024	21	A MLE	Palm Beach Cardinals	—	126	110	27	4	0	2	11	21	4	2	0	245	336	336	672	91	284	17	9	288	81	—	—	—	—	—	—
2024	21	A RAW	Palm Beach Cardinals	—	126	105	31	5	0	2	16	15	4	2	0	295	408	400	808	105	326	12	13	368	81	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	496	428	119	25	2	14	52	91	12	23	3	278	372	444	816	166	321	18	10	360	129	—	—	—	—	—	—
2025	22	AA RAW	2 teams	—	496	408	125	28	2	17	72	73	12	23	3	306	425	510	935	203	335	15	15	412	129	—	—	—	—	—	—
2026	23	MLB MLE	St. Louis Cardinals	—	619	539	130	14	0	18	62	104	16	14	1	241	337	367	704	126	267	17	10	325	106	+5	+2	+2	+2	+13	2.6
2026	23	MLB RAW	St. Louis Cardinals	—	619	537	130	15	0	17	64	104	16	14	1	242	340	365	705	123	270	17	10	323	106	+5	+2	+2	+2	+13	2.6
2024	21	A MLE	Palm Beach Cardinals	—	126	110	27	4	0	2	11	21	4	2	0	245	336	336	672	91	273	17	9	288	81	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	496	429	119	25	2	14	52	91	12	23	3	277	372	443	815	166	320	18	10	360	129	—	—	—	—	—	—
2026	23	MLB MLE	St. Louis Cardinals	—	619	536	130	14	0	18	62	104	16	14	1	243	337	369	707	127	270	17	10	325	106	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A MLE	Palm Beach Cardinals	—	126	110	27	4	0	2	11	21	4	2	0	245	336	336	672	91	273	17	9	288	81	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	496	429	119	25	2	14	52	91	12	23	3	277	372	443	815	166	320	18	10	360	129	—	—	—	—	—	—
2026	23	MLB MLE	St. Louis Cardinals	—	619	536	130	14	0	18	62	104	16	14	1	243	337	369	707	127	270	17	10	325	106	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	STL	100%	569	493	129	15	1	18	58	97	13	13	3	261	354	404	758	142	290	17	10	341	117	+11	+1	+4	+2	+12	3.6
▸ 2027 — real world (MLB)
2027	24	MLB CTX	STL	100%	565	489	127	16	1	16	58	96	13	13	3	260	353	396	749	136	291	17	10	338	117	+11	+1	+4	+2	+12	3.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	STL	100%	573	496	131	16	1	18	59	97	13	13	3	262	355	409	764	146	290	17	10	343	118	+13	+1	+4	+2	+12	3.3
2029	26	MLB MLE	STL	100%	573	496	131	16	1	18	59	97	13	13	3	262	355	408	764	146	290	17	10	343	118	+12	+1	+4	+2	+12	3.3
2030	27	MLB MLE	STL	100%	565	489	128	15	1	18	58	97	13	12	3	261	355	406	760	144	290	17	10	342	117	+12	+1	+4	+2	+12	3.2
2031	28	MLB MLE	STL	100%	555	481	125	15	1	17	57	96	12	10	3	259	353	401	753	141	289	17	10	339	116	+10	+1	+3	+2	+12	2.9
2032	29	MLB MLE	STL	100%	539	467	119	14	0	16	55	95	12	8	2	257	350	395	744	137	288	18	10	336	113	+9	+1	+3	+2	+12	2.6
2033	30	MLB MLE	STL	100%	525	456	115	13	0	15	53	94	11	5	2	254	346	386	733	132	286	18	10	331	110	+6	+0	+2	+2	+11	2.2
2034	31	MLB MLE	STL	100%	506	439	109	12	0	14	51	93	11	2	1	249	341	376	717	126	283	18	10	325	106	+4	+0	+1	+2	+11	1.8
2035	32	MLB MLE	STL	100%	483	422	103	11	0	13	48	91	10	1	1	244	335	363	698	119	279	19	10	317	101	+0	-0	+0	+2	+10	1.3
2036	33	MLB MLE	STL	100%	448	392	92	9	0	11	44	87	9	1	1	237	328	348	675	110	275	19	10	308	95	-3	-0	-1	+2	+10	0.7
2037	34	MLB MLE	STL	96%	390	342	78	7	0	9	38	78	7	1	0	229	318	329	648	101	268	20	10	297	87	-6	+0	-2	+1	+8	0.2
2028	25	MLB CTX	STL	100%	573	496	130	16	1	17	59	97	13	13	3	261	354	401	755	140	291	17	10	340	118	+13	+1	+4	+2	+12	3.3
2029	26	MLB CTX	STL	100%	573	496	130	16	1	17	59	97	13	13	3	261	354	401	755	140	291	17	10	340	118	+12	+1	+4	+2	+12	3.3
2030	27	MLB CTX	STL	100%	565	489	128	16	1	17	58	97	13	12	3	260	353	398	751	138	290	17	10	339	117	+12	+1	+4	+2	+12	3.2
2031	28	MLB CTX	STL	100%	555	481	124	15	1	16	57	96	12	10	3	258	352	393	745	135	290	17	10	336	116	+10	+1	+3	+2	+12	2.9
2032	29	MLB CTX	STL	100%	539	467	119	15	0	15	55	95	12	8	2	256	349	387	736	131	289	18	10	333	113	+9	+1	+3	+2	+12	2.6
2033	30	MLB CTX	STL	100%	525	456	115	14	0	14	53	94	11	5	2	253	345	379	725	127	287	18	10	328	110	+6	+0	+2	+2	+11	2.2
2034	31	MLB CTX	STL	100%	506	439	109	13	0	13	51	93	11	2	1	248	340	369	710	121	284	18	10	322	106	+4	+0	+1	+2	+11	1.8
2035	32	MLB CTX	STL	100%	483	422	103	12	0	12	48	91	10	1	1	243	334	356	691	114	280	19	10	315	101	+0	-0	+0	+2	+10	1.3
2036	33	MLB CTX	STL	100%	448	392	92	10	0	10	44	87	9	1	1	236	327	342	668	105	275	19	10	306	95	-3	-0	-1	+2	+10	0.7
2037	34	MLB CTX	STL	96%	372	326	74	7	0	8	36	75	7	1	0	228	317	324	641	96	269	20	10	295	87	-6	+0	-2	+1	+8	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5758	5001	1254	149	4	156	584	1026	127	80	20	251	344	376	720	125	285	18	10	327	111	+61	+8	+21	+21	+125	23.9
/ 162G	—	A+C		—	650	565	142	17	0	18	66	116	14	9	2	251	344	377	721	126	286	18	10	327	111	+7	+1	+2	+2	+14	2.7
Career	—	MLE		—	6963	6046	1535	186	7	201	705	1237	156	118	26	254	347	387	734	133	287	18	10	332	111	+72	+9	+25	+23	+137	27.1
/ 162G	—	MLE		—	650	564	144	17	1	19	66	115	15	11	2	255	349	390	739	135	289	18	10	332	111	+7	+1	+3	+2	+14	2.8

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.

2025 AASpringfield Cardinals · 275 PAwOBA .393 → .348 (−45)K% 14.5% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.55%	÷0.992	×1.220	—	—	17.89%
BB% (unintentional) /PA	16.00%	÷0.987	×0.700	—	×1.027	11.65%
HBP% /PA	2.18%	—	×0.870	—	×1.027	1.95%
Singles /BIP	24.59%	÷0.966	×0.920	×0.994	×1.027	23.92%
Doubles /BIP	7.65%	÷0.916	×0.840	×0.994	×1.027	7.17%
Triples /BIP	0.55%	÷0.900	×0.940	×0.994	×1.027	0.58%
Home runs /BIP	3.83%	÷1.105	×0.800	—	×1.027	2.84%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 93, 2B 83, 3B 80, K 98, BB 97 — 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 ×0.994.

Result: wOBA .393 → .348; ISO .166 → .142; BABIP .337 → .322. 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 AAAMemphis Redbirds · 221 PAwOBA .418 → .374 (−44)K% 14.9% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.93%	÷0.953	×1.200	—	—	18.80%
BB% (unintentional) /PA	12.22%	÷0.954	×0.690	—	×1.050	9.28%
HBP% /PA	2.71%	—	×0.940	—	×1.050	2.68%
Singles /BIP	21.71%	÷0.982	×0.930	×1.008	×1.050	21.77%
Doubles /BIP	9.21%	÷1.033	×0.830	×1.008	×1.050	7.84%
Triples /BIP	0.66%	÷0.900	×0.970	×1.008	×1.050	0.75%
Home runs /BIP	6.58%	÷0.869	×0.700	—	×1.050	5.57%

Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 96, 2B 107, 3B 80, K 91, BB 91 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .418 → .374; ISO .249 → .215; BABIP .333 → .317. 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 APalm Beach Cardinals · 126 PAwOBA .362 → .288 (−74)K% 11.9% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷0.968	×1.360	—	—	16.72%
BB% (unintentional) /PA	12.70%	÷0.999	×0.690	—	—	8.77%
HBP% /PA	3.17%	—	×0.780	—	—	2.48%
Singles /BIP	26.67%	÷1.040	×0.920	×0.985	—	23.23%
Doubles /BIP	5.56%	÷1.153	×0.830	×0.985	—	3.94%
Triples /BIP	0.00%	÷0.946	×0.910	×0.985	—	0.00%
Home runs /BIP	2.22%	÷1.036	×0.800	—	—	1.72%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 108, 2B 131, 3B 89, K 94, BB 100 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .362 → .288; ISO .105 → .079; BABIP .326 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jay Bell'86-'03 * career totals — 17 seasons, 8,525 PA	12.8	8,525	195	91	257*	334*	419*	+73	+9	39.1	36.0
/162	664	15	7	+5.7	+0.7	3.0	pk7: 33
#2Asdrúbal Cabreralast yr '21 career totals — 15 seasons, 7,401 PA	11.1	7,401	195	91	266	329	423	+58	+11	38.2	32.2
/162	664	17	8	+5.2	+1.0	3.4	pk7: 26
#3Roy Smalley'75-'87 * career totals — 13 seasons, 6,594 PA	9.9	6,594	163	27	253*	344*	418*	+20	+50	33.1	30.5
/162	664	16	3	+2.0	+5.1	3.3	pk7: 28
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	9.5	6,323	186	94	254	343	387	+57	+25	31.6	27.5
/162	664	20	10	+5.9	+2.6	3.3	pk7: 23
#4Chase Headleylast yr '18 career totals — 11 seasons, 5,740 PA	8.6	5,740	130	93	263	343	400	+6	+26	27.7	26.7
/162	664	15	11	+0.8	+3.1	3.2	pk7: 26
#5Aaron Hilllast yr '17 career totals — 13 seasons, 6,217 PA	9.4	6,217	162	74	266	323	417	+22	+25	27.7	26.1
/162	664	17	8	+2.4	+2.6	3.0	pk7: 25
#6Robby Thompson'86-'96 * career totals — 11 seasons, 5,235 PA	7.9	5,235	119	103	254*	327*	426*	+19	+20	25.4	24.6
/162	664	15	13	+2.4	+2.5	3.2	pk7: 24

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
JJ Wetherholt (OGILVIE)	24	—	—	—	—	259/351/400	141	290	18	13	17%	10%	117	+2.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Kelly Johnson 2006 · MLB	24	50→58	52→55	53→50	56	254/337/433	179	291	19	10	20%	11%	118	+2.6	270/350/443	173	318	16	10	19%	11%	124	+3.1	264/337/440	177	307	17	11	19%	10%	120	+2.6
●Andrew Benintendi 2019 · MLB	25	54→64	49→55	55→50	55	268/340/429	161	299	16	17	16%	10%	118	+2.6	259/332/417	158	310	15	12	20%	9%	112	+2.2	275/343/417	142	326	13	9	19%	9%	117	+2.4
★Aaron Rowand 2002 · MLB	24	53→60	49→55	52→50	54	263/348/412	149	306	17	16	20%	10%	118	+2.6	267/317/429	162	296	18	8	16%	5%	109	+2.0	278/339/445	167	328	18	4	20%	6%	123	+3.0
●A.J. Pierzynski 2001 · MLB	24	53→62	48→55	52→40	49	263/323/413	150	294	15	10	16%	7%	108	+1.9	283/318/428	145	315	11	4	13%	3%	109	+2.0	293/326/437	144	323	10	2	12%	3%	116	+1.9
●Brad Miller 2014 · MLB	24	55→57	47→60	50	49	269/325/412	143	317	14	11	20%	8%	107	+1.9	247/310/410	163	295	17	10	22%	8%	102	+1.5	234/315/416	182	282	20	10	24%	10%	107	+1.5
●Ozzie Albies 2021 · MLB	24	54→62	55→60	52→55	47	277/325/472	195	306	22	13	18%	6%	122	+3.0	262/313/469	207	287	25	13	18%	6%	118	+2.6	262/315/476	214	281	26	13	18%	6%	121	+2.6
★Francisco Lindor 2018 · MLB	24	55→63	53→65	52→55	52	278/334/461	183	294	20	14	14%	8%	123	+3.0	272/330/490	218	281	27	17	15%	7%	128	+3.4	270/347/485	215	296	27	26	19%	9%	135	+4.5
●Trent Grisham 2021 · MLB	24	47→49	54→60	54→55	54	241/327/428	187	289	22	14	24%	11%	113	+2.3	223/313/392	169	280	18	13	25%	11%	100	+1.3	213/319/407	194	233	27	6	22%	13%	107	+1.3
●Eric Hinske 2003 · MLB	25	54→55	55→60	53→50	55	272/351/466	194	318	22	12	21%	11%	130	+3.5	252/327/421	169	297	16	12	20%	10%	112	+2.2	246/320/404	158	290	15	11	20%	9%	106	+1.6
●Jason Heyward 2015 · MLB	25	53→59	49→55	50	55	264/342/415	150	299	16	14	17%	10%	116	+2.5	261/330/389	128	295	12	15	15%	9%	105	+1.7	255/339/411	156	285	17	5	16%	11%	114	+1.6
✕Brett Lawrie 2014 · MLB	24	53→57	49→55	49→55	49	263/319/416	153	293	16	14	17%	7%	107	+1.9	253/304/409	156	297	18	8	21%	6%	100	+1.3	251/300/410	158	305	19	6	24%	6%	100	+0.9
●Alex Verdugo 2021 · MLB	25	57→60	49→50	51→45	49	285/337/441	157	321	16	9	17%	7%	120	+2.8	270/325/407	137	305	13	6	16%	7%	107	+1.8	265/321/398	133	297	12	4	15%	7%	104	+1.7
✕Leo Heras 2014 · AAA	24	54→64	48→50	55	48	266/324/412	146	317	14	18	20%	7%	107	+1.9	226/297/342	116	289	9	18	23%	9%	82	-0.0	242/316/372	130	313	11	18	24%	9%	93	+0.5
✕Andrés Giménez 2023 · MLB	24	54→59	50	56→55	43	270/334/430	160	327	18	21	22%	5%	116	+2.5	250/309/378	128	289	13	24	18%	5%	95	+1.0	238/297/349	111	274	11	26	17%	5%	85	+0.2
●Devon Travis 2016 · MLB	25	56→62	48→50	51→50	49	277/330/424	147	318	14	12	18%	7%	113	+2.3	266/305/416	150	311	15	8	19%	5%	102	+1.5	260/294/407	147	298	15	6	18%	4%	96	+0.6
●Russell Martin 2008 · MLB	25	57→63	48→55	48→50	57	282/358/436	154	311	15	16	14%	10%	126	+3.2	264/351/380	116	296	11	14	14%	11%	111	+2.1	247/348/421	175	291	22	4	22%	11%	120	+2.4
●Miguel Vargas 2024 · MLB	24	48→54	49→55	52→50	53	240/320/398	158	282	16	12	21%	10%	103	+1.6	226/321/395	169	261	18	12	20%	11%	103	+1.6	226/328/409	183	251	21	13	19%	12%	110	+2.0
★Nick Markakis 2008 · MLB	24	57→62	51→55	48→50	51	287/344/458	171	319	18	10	16%	8%	126	+3.2	293/362/459	166	329	16	8	15%	10%	132	+3.7	293/366/449	157	328	14	7	14%	10%	132	+4.3
✕Danny Jansen 2019 · MLB	24	52→61	47→65	49→45	52	255/334/398	143	288	14	6	17%	8%	109	+2.0	225/306/392	167	252	20	4	20%	9%	97	+1.1	233/312/473	241	239	33	1	20%	8%	120	+1.2
●Mark Teahen 2007 · MLB	25	55→59	51→55	57→50	51	271/336/452	181	319	17	10	20%	9%	121	+2.9	269/326/417	148	329	13	9	21%	7%	109	+2.0	266/320/400	134	326	11	8	21%	7%	104	+1.6

JJ Wetherholt

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps