Jonathan Aranda — OGILVIE

Jonathan Aranda1B Tampa Bay Rays

Age 28 L/R 6'0" / 215 lbs MLB HR +6%H +4% Svc 2.174S2 · Ctrl thru 2029

2026 ROS PROJECTION625 act + 10 ros · stats below = ROS only

showingROS

wRC+†vL 108126vR 133

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%20

BB%10

BABIP342

ISO174

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$30M ctrl surplus

Tools · Recent Form · Splits · ContractCON 60 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

904.9%

xAVG

730.270

POWER60

Barrel%

7311.6

Avg EV

9091.9

Bat Spd

4170.4

EYE50

Chase%

9014.8%

SPEED40

Sprint

1225.6

Recent Formrolling true talent ⓘ

K%25%▼26% over 113 PA (30d) · proj 24%

BB%8%▼▼6% over 169 PA (45d) · proj 10%

ISO.138▼▼.109 over 202 AB (60d) · proj .175xISO .183 vs .237 prior — approach backs the move

HR/BB4.4%▼3.4% over 145 BBE (60d) · proj 5.7%barrel% 9.7% vs 13.7% prior — approach backs the move

BABIP.330·.314 over 140 BIP (60d) · proj .333xBABIP .301 vs .360 prior

SLASH.262/.328/.400▼▼proj .271/.353/.445

Platoon Splits2024-2026 · 662 PA

vs LHP

vs RHP

Edge

130

532

—

wRC+

114

142

▶▶R

wOBA

336

379

▶R

ISO

087

214

▶▶R

BABIP

372

349

◀L

28.5%

23.5%

▶▶R

BB%

15.4%

8.6%

◀◀L

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

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.174 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	+0.1	$0.5M	+$0.5M
2027	Arb-2	$7M	+2.9	$24M	+$17M
2028	Arb-3	$10M	+2.5	$17M	+$9M
2029	Arb-4	$13M	+2.1	$13M	+$4M
Totals		$31M		$55M	+$30M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2016	18	ROK	DSL Rays 1	—	202	175	45	6	5	1	17	32	7	5	4	257	347	366	712	109	308	16	8	320	103	+1	-1	—	—	+4	0.5
2017	19	ROK	GCL Rays	—	197	178	51	9	1	0	14	31	3	14	4	287	349	348	697	62	342	16	7	316	100	-0	+1	—	—	+4	0.6
2017	19	INTL	Yaquis de Obregon	—	40	37	9	2	0	0	2	13	0	2	1	243	282	297	579	54	375	32	5	257	60	-2	+0	—	—	+1	-0.1
2018	20	ROK	Princeton Rays	—	144	126	36	8	4	1	12	18	3	0	1	286	359	437	796	151	321	12	8	349	122	+4	-0	—	—	+3	0.7
2019	21	A+	Charlotte Stone Crabs	—	19	17	4	0	0	0	2	1	0	0	0	235	316	235	551		250	5	11	264	65	-1	+0	—	—	+0	-0.0
2019	21	A	Bowling Green Hot Rods	—	246	211	58	13	2	3	30	43	0	1	1	275	364	398	762	123	325	17	12	339	115	+4	-0	—	—	+5	1.0
2019	21	INTL	Yaquis de Obregon	—	16	15	2	0	0	0	1	7	0	0	0	133	188	133	321		250	44	6	157	-8	-2	+0	—	—	+0	-0.2
2020	22	INTL	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	378	142	+8	+1	—	—	+3	1.3
2021	23	AA	Montgomery Biscuits	—	322	274	89	19	5	10	33	63	10	4	2	325	416	540	957	215	383	20	10	414	167	+26	+0	—	—	+7	3.3
2021	23	A+	Bowling Green Hot Rods	—	89	74	26	3	0	4	9	13	5	1	0	351	455	554	1.009	203	379	15	10	442	185	+9	+0	—	—	+2	1.1
2021	23	INTL	Yaquis de Obregon	—	137	116	33	3	0	2	17	24	2	2	1	284	385	362	747	78	341	18	12	341	117	+3	+0	—	—	+3	0.6
2022	24	MLB	Tampa Bay Rays	—	87	78	15	4	0	2	8	23	1	0	0	192	276	321	596	128	245	26	9	273	71	-3	+0	-2	+2	+2	-0.1
2022	24	AAA	Durham Bulls	—	465	403	128	26	1	18	45	100	10	4	0	318	400	521	921	203	377	22	10	401	157	+32	+1	—	—	+10	4.3
2023	25	MLB	Tampa Bay Rays	—	103	87	20	4	1	2	13	31	2	0	0	230	343	368	711	138	327	30	13	322	104	+1	+0	-1	-10	+2	-0.8
2023	25	AAA	Durham Bulls	—	434	357	121	23	0	25	64	87	10	2	2	339	452	613	1.066	275	387	20	15	460	197	+50	-0	—	—	+9	6.1
2024	26	MLB	Tampa Bay Rays	—	143	128	30	7	0	6	12	32	2	0	0	234	310	430	740	195	264	22	8	327	107	+1	+0	-0	-7	+3	-0.3
2024	26	AAA	Durham Bulls	—	144	118	28	1	0	7	23	47	2	0	0	237	371	424	794	186	323	33	16	357	128	+5	+0	—	—	+3	0.8
2024	26	INTL	Yaquis de Obregon	—	115	94	29	7	2	6	16	19	4	1	0	309	430	617	1.047	309	333	17	14	448	189	+12	+0	—	—	+2	1.5
2025	27	MLB	Tampa Bay Rays	—	422	370	117	22	0	14	41	107	8	0	2	316	396	489	885	173	409	25	10	391	151	+26	-1	-3	-8	+9	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	755	663	182	37	1	24	74	193	13	0	2	275	359	442	801	167	350	26	10	356	127	+24	-1	-6	-22	+16	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	DSL Rays 1	—	202	181	36	4	4	1	11	46	7	5	4	199	271	282	553	83	245	23	5	232	43	-14	-1	—	—	+4	-1.0
2017	19	ROK MLE	GCL Rays	—	197	183	42	7	1	0	9	45	3	14	4	230	277	279	556	49	288	23	5	240	49	-12	+1	—	—	+4	-0.7
2018	20	ROK MLE	Princeton Rays	—	144	131	30	6	3	1	8	25	3	0	1	229	289	344	632	115	271	17	6	276	73	-5	-0	—	—	+3	-0.2
2019	21	A+ MLE	Charlotte Stone Crabs	—	19	18	4	0	0	0	1	1	0	0	0	222	263	222	485		228	5	5	224	38	-1	+0	—	—	+0	-0.1
2019	21	A MLE	Bowling Green Hot Rods	—	246	222	49	9	2	2	20	62	0	1	1	221	285	306	591	86	278	25	8	259	61	-11	-0	—	—	+5	-0.6
2021	23	AA MLE	Montgomery Biscuits	—	322	284	77	15	5	8	23	79	10	4	2	271	347	444	791	173	333	25	7	342	118	+7	+0	—	—	+7	1.4
2021	23	A+ MLE	Bowling Green Hot Rods	—	89	76	24	2	0	3	7	17	5	1	0	316	409	461	870	145	362	19	8	386	147	+5	+0	—	—	+2	0.7
2022	24	MLB MLE	Tampa Bay Rays	—	87	78	15	4	0	2	8	23	1	0	0	192	276	321	596	128	245	26	9	263	64	-4	+0	-2	+2	+2	-0.2
2022	24	AAA MLE	Durham Bulls	—	465	419	114	20	1	12	29	120	10	4	0	272	334	411	745	138	339	26	6	327	107	+4	+1	—	—	+10	1.5
2023	25	MLB MLE	Tampa Bay Rays	—	103	87	20	4	1	2	13	31	2	0	0	230	343	368	711	138	327	30	13	311	97	-0	+0	-1	-10	+2	-0.9
2023	25	AAA MLE	Durham Bulls	—	434	379	104	19	0	16	42	104	10	2	2	274	362	451	813	177	330	24	10	354	126	+13	-0	—	—	+9	2.3
2024	26	MLB MLE	Tampa Bay Rays	—	143	128	30	7	0	6	12	32	2	0	0	234	310	430	740	195	264	22	8	325	106	+1	+0	-0	-7	+3	-0.3
2024	26	AAA MLE	Durham Bulls	—	144	125	24	1	0	5	16	56	2	0	0	192	294	320	614	128	283	39	11	271	70	-5	+0	—	—	+3	-0.2
2025	27	MLB MLE	Tampa Bay Rays	—	422	370	114	21	0	14	41	107	8	0	2	308	389	478	867	170	409	25	10	373	139	+19	-1	-3	-8	+9	1.8
2016	18	ROK MLE	DSL Rays 1	—	202	181	36	4	4	1	11	46	7	5	4	199	271	282	553	83	259	23	5	232	43	—	—	—	—	—	—
2016	18	ROK RAW	DSL Rays 1	—	202	175	45	6	5	1	17	32	7	5	4	257	347	366	712	109	308	16	8	320	43	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	237	221	50	8	1	0	10	54	3	16	5	226	269	271	541	45	296	23	4	240	49	—	—	—	—	—	—
2017	19	ROK RAW	2 teams	—	237	215	60	11	1	0	16	44	3	16	5	279	338	340	677	60	347	19	7	306	49	—	—	—	—	—	—
2018	20	ROK MLE	Princeton Rays	—	144	131	30	6	3	1	8	25	3	0	1	229	289	344	632	115	271	17	6	276	73	—	—	—	—	—	—
2018	20	ROK RAW	Princeton Rays	—	144	126	36	8	4	1	12	18	3	0	1	286	359	437	796	151	321	12	8	349	73	—	—	—	—	—	—
2019	21	A MLE	3 teams	—	281	255	56	10	2	2	22	67	0	1	1	220	282	298	580	78	284	24	8	256	60	—	—	—	—	—	—
2019	21	A RAW	3 teams	—	281	243	64	13	2	3	33	51	0	1	1	263	350	370	721	107	316	18	12	323	60	—	—	—	—	—	—
2020	22	INTL MLE	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	—	—	—	—	—	—	—	—
2020	22	INTL RAW	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	378	142	—	—	—	—	—	—
2021	23	AA MLE	3 teams	—	548	484	137	24	6	16	39	128	17	7	3	283	357	457	814	174	349	23	7	352	124	—	—	—	—	—	—
2021	23	AA RAW	3 teams	—	548	464	148	25	5	16	59	100	17	7	3	319	415	498	913	179	372	18	11	400	124	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	552	497	130	25	1	14	37	143	11	4	0	262	327	400	727	139	334	26	7	317	101	—	—	—	—	—	—
2022	24	AAA RAW	2 teams	—	552	481	143	30	1	20	53	123	11	4	0	297	380	489	868	191	357	22	10	381	101	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	537	466	123	23	1	18	55	135	12	2	2	264	356	433	790	170	331	25	10	346	120	—	—	—	—	—	—
2023	25	AAA RAW	2 teams	—	537	444	141	27	1	27	77	118	12	2	2	318	432	565	997	248	376	22	14	434	120	—	—	—	—	—	—
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	279	31	10	298	88	—	—	—	—	—	—
2024	26	AAA RAW	3 teams	—	402	340	87	15	2	19	51	98	8	1	0	256	366	479	845	224	302	24	13	372	88	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	370	114	21	0	14	41	107	8	0	2	308	389	478	867	170	397	25	10	373	139	+19	-1	-3	-8	+9	1.8
2025	27	MLB RAW	Tampa Bay Rays	—	422	370	117	22	0	14	41	107	8	0	2	316	396	489	885	173	409	25	10	391	139	+19	-1	-3	-8	+9	1.8
2016	18	ROK MLE	DSL Rays 1	—	202	182	36	4	4	1	11	46	7	5	4	198	271	280	552	82	245	23	5	232	43	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	237	222	50	8	1	0	10	54	3	16	5	225	269	270	540	45	288	23	4	240	49	—	—	—	—	—	—
2018	20	ROK MLE	Princeton Rays	—	144	132	30	6	3	1	8	25	3	0	1	227	289	341	630	114	271	17	6	276	73	—	—	—	—	—	—
2019	21	A MLE	3 teams	—	281	257	56	10	2	2	22	67	0	1	1	218	282	296	577	78	274	24	8	256	60	—	—	—	—	—	—
2021	23	AA MLE	3 teams	—	548	487	137	24	6	16	39	128	17	7	3	281	357	454	811	172	339	23	7	352	124	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	552	499	130	25	1	14	37	143	11	4	0	261	327	399	725	138	324	26	7	317	101	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	537	465	123	23	1	18	55	135	12	2	2	265	356	434	791	170	329	25	10	346	120	—	—	—	—	—	—
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	273	31	10	298	88	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	370	114	21	0	14	41	107	8	0	2	308	389	478	867	170	409	25	10	373	139	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	25	AAA MLE	2 teams	—	537	465	123	23	1	18	55	135	12	2	2	265	356	434	791	170	329	25	10	346	120	—	—	—	—	—	—
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	273	31	10	298	88	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	370	114	21	0	14	41	107	8	0	2	308	389	478	867	170	409	25	10	373	139	—	—	—	—	—	—
YTD	28	MLB MLE	TB	—	625	542	149	24	0	20	64	146	11	0	1	275	363	430	793	155	336	23	10	344	119	+14	-0	-1	-11	+14	1.5
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	28	MLB RAW	TB	—	625	542	150	24	0	19	64	146	11	0	1	277	365	426	791	149	340	23	10	352	119	+14	-0	-1	-11	+14	1.5
YTD	28	MLB RAW	TB	—	625	542	150	24	0	19	64	146	11	0	1	277	365	426	791	149	340	23	10	352	124	+18	-0	-1	-11	+14	1.9
ROS	28	MLB MLE	TB	100%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		332	20	10	354	126	+0	+0	+0	-0	+0	0.0
ROS	28	MLB CTX	TB	100%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		342	20	10	349	126	+0	+0	+0	-0	+0	0.0
FULL	28	MLB A+C	TB	—	635	551	152	24	0	19	65	148	11	0	1	276	364	423	787	147	339	23	10	352	119	+15	-0	-1	-11	+14	1.6
TOT	28	MLB MLE	TB	—	635	551	151	24	0	20	65	148	11	0	1	274	362	426	789	152	335	23	10	345	119	+15	-0	-1	-11	+14	1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	29	MLB MLE	TB	100%	660	576	160	31	1	22	67	158	12	1	1	278	365	450	815	172	342	24	10	359	129	+23	-0	+3	-12	+14	2.9
2028	30	MLB MLE	TB	100%	653	571	155	30	0	21	66	158	11	0	1	271	358	434	792	163	338	24	10	354	126	+20	-0	+2	-12	+14	2.5
2029	31	MLB MLE	TB	100%	640	559	148	28	0	20	65	157	11	0	1	265	353	422	775	157	333	25	10	348	122	+17	-0	+2	-11	+14	2.1
2030	32	MLB MLE	TB	100%	627	548	142	26	0	19	63	156	11	0	0	259	347	411	758	151	326	25	10	340	117	+12	+0	+1	-11	+14	1.6
2031	33	MLB MLE	TB	100%	541	473	119	21	0	16	54	137	9	0	0	252	340	397	737	146	318	25	10	331	110	+6	+0	-0	-10	+12	0.8
2032	34	MLB MLE	TB	96%	458	402	98	17	0	13	46	119	7	0	0	244	332	383	715	139	309	26	10	320	103	+2	+0	-2	-8	+10	0.2
2027	29	MLB CTX	TB	100%	660	576	164	32	1	23	67	158	12	1	1	285	371	464	835	179	352	24	10	354	129	+23	-0	+3	-12	+14	2.9
2028	30	MLB CTX	TB	100%	653	571	159	31	0	22	66	158	11	0	1	278	364	448	813	170	348	24	10	350	126	+20	-0	+2	-12	+14	2.5
2029	31	MLB CTX	TB	100%	640	559	153	30	0	21	65	157	11	0	1	274	361	440	801	166	343	25	10	344	122	+17	-0	+2	-11	+14	2.1
2030	32	MLB CTX	TB	100%	627	548	147	28	0	20	63	156	11	0	0	268	355	429	784	161	336	25	10	336	117	+12	+0	+1	-11	+14	1.6
2031	33	MLB CTX	TB	100%	541	473	121	22	0	16	54	137	9	0	0	256	343	404	747	148	327	25	10	326	110	+6	+0	-0	-10	+12	0.8
2032	34	MLB CTX	TB	96%	437	383	96	17	0	13	44	114	7	0	0	251	339	397	736	146	318	26	10	315	103	+1	+0	-2	-8	+9	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4323	3782	1024	197	2	139	434	1075	74	1	5	271	357	434	791	163	342	25	10	342	104	+105	-2	-0	-86	+94	11.2
/ 162G	—	A+C		—	650	569	154	30	0	21	65	162	11	0	1	271	357	434	791	163	342	25	10	342	104	+16	-0	-0	-13	+14	1.7
Career	—	MLE		—	7073	6238	1623	290	21	195	636	1735	133	43	21	260	341	407	749	147	328	25	9	322	104	+105	-2	-0	-86	+94	11.2
/ 162G	—	MLE		—	650	573	150	27	2	18	58	159	12	4	2	262	342	410	752	148	329	24	9	322	104	+16	-0	-0	-13	+14	1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Justin Morneaulast yr '16 career totals — 14 seasons, 6,392 PA	9.6	6,392	247	5	281	348	481	-112	-75	22.4	21.7
/162	664	26	1	-11.6	-7.8	2.3	pk7: 21
#2Brandon Beltlast yr '23 career totals — 13 seasons, 5,483 PA	8.3	5,483	194	47	261	357	460	-96	-62	19.4	18.2
/162	664	23	6	-11.7	-7.5	2.3	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	8.4	5,591	177	3	268	351	428	-100	-26	18.4	17.7
/162	664	21	0	-11.9	-3.1	2.2	pk7: 17
#3Billy Butlerlast yr '16 career totals — 10 seasons, 5,686 PA	8.6	5,686	147	5	290	354	441	-102	-46	17.1	16.9
/162	664	17	1	-11.9	-5.4	2.0	pk7: 17
#4Kendrys Moraleslast yr '19 career totals — 13 seasons, 5,357 PA	8.1	5,357	213	6	265	327	453	-95	-16	14.9	15.2
/162	664	26	1	-11.8	-2.0	1.8	pk7: 16
#5Seth Smithlast yr '17 career totals — 10 seasons, 4,076 PA	6.1	4,076	126	22	260	343	445	-44	-36	14.0	13.3
/162	664	21	4	-7.1	-5.9	2.3	pk7: 13
#6Doug Mientkiewiczlast yr '08 career totals — 8 seasons, 3,401 PA	5.1	3,401	64	12	276	364	414	-47	-13	11.9	12.2
/162	664	12	2	-9.1	-2.6	2.3	pk7: 13

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
Jonathan Aranda (OGILVIE)	28	60	60	40	50	268/355/433	165	332	22	1	24%	10%	126	+3.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Ty France 2022 · MLB	28	57→59	52→55	43→40	48	287/360/460	174	326	20	2	18%	7%	133	+3.7	265/338/410	145	302	16	2	17%	7%	114	+2.3	252/328/388	135	291	15	1	18%	6%	102	+1.5
●Lucas Duda 2014 · MLB	28	47→55	51→65	39→30	54	238/333/396	158	299	19	3	26%	11%	108	+1.9	248/345/459	211	295	26	3	24%	11%	127	+3.3	250/349/478	228	287	29	1	23%	11%	125	+2.3
●Nathaniel Lowe 2023 · MLB	28	56→60	52→55	48→40	51	280/350/449	169	345	20	5	24%	9%	126	+3.2	260/346/411	151	326	17	3	23%	11%	116	+2.5	247/341/390	143	310	16	1	24%	12%	106	+1.8
●Adam Lind 2011 · MLB	28	51→60	57→60	45→40	48	266/320/470	204	299	24	2	20%	7%	120	+2.8	262/318/450	188	295	25	2	20%	7%	115	+2.4	288/362/471	183	329	20	0	18%	10%	127	+2.6
✕Eric Hosmer 2018 · MLB	28	59→64	55	46→50	54	301/364/483	182	333	23	6	17%	9%	139	+4.1	272/331/437	165	322	20	5	21%	8%	116	+2.5	269/325/421	152	319	18	4	21%	7%	107	+1.4
●Adam LaRoche 2008 · MLB	28	52→55	58→65	37→40	53	271/342/483	212	310	25	2	21%	10%	131	+3.6	269/340/479	210	321	24	2	23%	10%	130	+3.5	265/337/476	211	319	25	1	24%	10%	120	+2.8
●Kole Calhoun 2017 · MLB	29	53→57	51→60	43→50	51	265/330/432	167	307	18	4	20%	8%	115	+2.4	239/320/408	169	281	20	5	22%	10%	106	+1.8	229/322/459	231	255	31	3	24%	11%	114	+1.4
✕Matt Adams 2017 · MLB	28	49→57	56→65	43→40	46	256/308/450	193	297	24	4	23%	7%	112	+2.2	254/310/488	234	291	33	2	25%	7%	122	+2.9	247/303/493	246	282	36	0	27%	7%	115	+1.4
●Garrett Cooper 2020 · MLB	29	57→60	52→55	46→30	47	283/343/452	169	348	20	2	24%	8%	124	+3.1	278/353/460	182	353	21	3	25%	9%	130	+3.5	266/339/435	169	349	18	1	27%	9%	117	+1.7
●Jeremy Giambi 2002 · MLB	27	54→58	51→55	41→40	60	267/364/433	166	311	18	2	19%	13%	128	+3.3	254/379/453	199	308	23	4	23%	16%	138	+4.1	239/392/459	219	287	27	1	25%	19%	140	+1.9
✕Eric Valent 2005 · MLB	28	50	55→60	43→30	51	259/325/447	188	293	23	4	20%	9%	117	+2.6	224/299/349	125	281	13	4	23%	10%	84	+0.2	206/295/311	105	257	10	1	23%	11%	70	-0.6
✕Billy Butler 2014 · MLB	28	60→65	52→55	43→30	57	300/373/466	166	330	20	2	16%	10%	138	+4.1	273/338/409	136	311	14	2	16%	8%	112	+2.2	266/328/394	128	303	13	0	16%	8%	101	+1.2
✕Chris Duncan 2009 · MLB	28	49→50	54→60	43→40	55	252/339/433	181	306	23	4	25%	12%	119	+2.7	210/288/327	117	267	12	5	25%	10%	76	-0.4	187/264/284	97	241	10	3	25%	9%	55	-1.1
●Brandon Belt 2017 · MLB	29	57→60	55→65	44→50	58	280/376/485	206	351	19	5	24%	13%	143	+4.5	259/359/458	199	316	21	5	23%	13%	131	+3.6	264/371/511	246	304	30	4	23%	14%	143	+2.9
●Willson Contreras 2021 · MLB	29	50→60	56→60	41→45	50	257/348/454	197	309	24	4	24%	9%	127	+3.3	249/348/460	211	297	26	6	25%	10%	128	+3.4	261/364/476	215	323	26	5	26%	10%	136	+3.2
✕Ross Gload 2005 · MLB	29	58	50→55	36→40	52	287/347/443	156	317	17	4	15%	8%	124	+3.1	286/328/450	164	314	17	6	14%	6%	118	+2.7	293/328/455	162	318	15	6	13%	4%	117	+1.2
✕Chris Shelton 2007 · MLB	27	53→57	53→55	42→40	49	268/335/451	182	329	21	3	24%	8%	121	+2.9	245/317/388	143	321	15	3	26%	9%	100	+1.3	239/313/370	131	314	13	2	26%	9%	93	+0.7
●Brad Hawpe 2007 · MLB	28	56→59	55→60	44→40	58	280/367/476	196	333	21	6	22%	12%	138	+4.1	285/378/509	224	345	25	3	23%	13%	149	+4.9	284/384/515	231	346	26	1	24%	13%	145	+4.5
✕Stephen Piscotty 2019 · MLB	28	51→54	57→60	41→45	51	263/337/468	205	295	24	5	20%	9%	126	+3.2	250/310/426	176	297	22	6	23%	7%	107	+1.8	240/297/395	155	291	20	5	24%	7%	93	+0.3
✕Austin Kearns 2008 · MLB	28	52→62	52→60	43→45	56	262/351/436	174	300	19	5	19%	11%	124	+3.1	243/338/376	133	292	13	5	20%	11%	106	+1.8	245/343/363	118	326	12	4	26%	11%	101	+0.6

Career Stats + Projections

Career Comps

Career Path Comps