Bo Bichette — OGILVIE

Bo Bichette3B New York Mets

Age 28 R/R 5'11" / 190 lbs MLB H -5% Svc 6.366 · Ctrl thru 2028

2026 ROS PROJECTION631 act + 10 ros · stats below = ROS only

showingROS

wRC+†vL 119116vR 105

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

PA10

HR0

K%20

BB%10

BABIP319

ISO147

MLB%100%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit option yr━ post-control-$55M ctrl surplus

Tools · Recent Form · Splits · ContractCON 60 / POW 45

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

905.8%

xAVG

840.279

POWER45

Barrel%

386.6

Avg EV

6490.1

Bat Spd

3069.2

EYE35

Chase%

9023.5%

SPEED40

Sprint

2226.1

Recent Formrolling true talent ⓘ

K%18%▼19% over 107 PA (30d) · proj 16%

BB%8%▲▲9% over 164 PA (45d) · proj 6%

ISO.150·.152 over 198 AB (60d) · proj .147xISO .141 vs .161 prior

HR/BB4.2%▲5.0% over 120 BBE (45d) · proj 3.3%barrel% 6.6% vs 6.7% prior — approach flat: likely noise/luck

BABIP.314·.322 over 152 BIP (60d) · proj .313xBABIP .323 vs .365 prior

SLASH.275/.334/.425·proj .280/.325/.427

Platoon Splits2024-2026 · 1079 PA

vs LHP

vs RHP

Edge

233

846

—

wRC+

103

105

—

wOBA

320

324

—

ISO

179

127

◀◀L

BABIP

272

328

▶▶R

13.3%

17.7%

◀◀L

BB%

4.3%

6.1%

▶▶R

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

Status FA

MLB Debut 2019

Service 6.366 yrs.days

Team Control Through 2028

First FA Year 2027

NTCOPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$3M	+0.2	$0.6M	-$3M
2027	Ext	$42M	+3.4	$31M	-$7M
2028	Ext	$42M	+3.1	$25M	-$10M
Totals		$87M		$56M	-$19M

Options · projected decision
2029	PLAYER OPT	$42.0M / $5.0M buyout	EXERCISE

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	GCL Blue Jays	—	91	82	35	9	2	4	6	17	0	3	0	427	466	732	1.198	305	484	19	7	499	224	+13	+1	—	—	+2	1.6
2017	19	A+	Dunedin Blue Jays	—	182	164	53	9	1	4	14	26	2	10	4	323	383	463	847	140	360	14	8	374	139	+8	+0	—	—	+4	1.3
2017	19	A	Lansing Lugnuts	—	317	284	109	32	3	10	28	55	5	12	3	384	448	623	1.071	239	452	17	9	466	202	+38	+1	—	—	+7	4.7
2018	20	AA	New Hampshire Fisher Cats	—	595	539	154	43	7	11	48	101	2	32	11	286	346	453	799	167	331	17	8	350	123	+17	+2	—	—	+13	3.2
2019	21	MLB	Toronto Blue Jays	—	212	196	61	18	0	11	14	50	1	4	4	311	360	571	932	260	368	24	7	403	159	+15	-1	-3	+5	+5	2.1
2019	21	AAA	Buffalo Bisons	—	244	222	61	16	2	8	19	48	1	15	5	275	335	473	808	198	317	20	8	353	125	+7	+1	—	—	+5	1.4
2019	21	A+	Dunedin Blue Jays	—	16	11	6	2	0	0	5	3	0	1	0	545	688	727	1.415	182	750	19	31	605	295	+4	+0	—	—	+0	0.4
2020	22	MLB	Toronto Blue Jays	—	128	123	37	9	1	5	5	27	0	4	1	301	328	512	840	211	352	21	4	367	134	+5	+0	+2	+1	+3	1.2
2021	23	MLB	Toronto Blue Jays	—	690	640	191	30	1	29	40	137	6	25	1	298	345	484	830	186	339	20	6	364	133	+27	+5	-0	+7	+15	5.5
2022	24	MLB	Toronto Blue Jays	—	697	652	189	43	1	24	41	155	2	13	8	290	334	469	803	179	347	22	6	353	125	+21	-1	-1	+7	+15	4.2
2023	25	MLB	Toronto Blue Jays	—	601	571	175	30	3	20	27	115	2	5	3	306	340	475	815	168	355	19	4	359	129	+21	-0	+1	+6	+13	4.2
2024	26	MLB	Toronto Blue Jays	—	336	311	70	16	1	4	20	64	3	5	1	225	278	322	600	96	269	19	6	271	69	-12	+1	+2	+4	+7	0.2
2025	27	MLB	Toronto Blue Jays	—	628	582	181	44	1	18	40	91	3	4	3	311	358	483	841	172	342	14	6	370	137	+27	-0	-7	+7	+14	4.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3292	3075	904	190	8	111	187	639	17	60	21	294	338	469	807	175	339	19	6	355	127	+104	+4	-6	+38	+71	21.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	GCL Blue Jays	—	91	84	25	6	1	3	4	24	0	3	0	298	330	500	830	202	358	26	4	358	128	+3	+1	—	—	+2	0.6
2017	19	A+ MLE	Dunedin Blue Jays	—	182	170	47	9	1	3	8	37	2	10	4	276	317	394	711	118	320	20	4	303	91	-2	+0	—	—	+4	0.2
2017	19	A MLE	Lansing Lugnuts	—	317	294	87	23	2	8	18	78	5	12	3	296	347	469	816	173	379	25	6	353	125	+9	+1	—	—	+7	1.8
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	553	140	38	6	9	34	119	2	32	11	253	299	392	691	139	301	20	6	299	88	-8	+2	—	—	+13	0.7
2019	21	MLB MLE	Toronto Blue Jays	—	212	196	61	18	0	11	14	50	1	4	4	311	360	571	932	260	368	24	7	398	156	+14	-1	-3	+5	+5	2.0
2019	21	AAA MLE	Buffalo Bisons	—	244	227	53	14	2	5	14	60	1	15	5	233	281	379	660	145	286	25	6	285	79	-6	+1	—	—	+5	0.0
2019	21	A+ MLE	Dunedin Blue Jays	—	16	12	5	2	0	0	4	4	0	1	0	417	562	583	1.146	167	689	25	25	502	226	+2	+0	—	—	+0	0.3
2020	22	MLB MLE	Toronto Blue Jays	—	128	123	37	9	1	5	5	27	0	4	1	301	328	512	840	211	352	21	4	356	127	+4	+0	+2	+1	+3	1.1
2021	23	MLB MLE	Toronto Blue Jays	—	690	640	190	30	1	29	40	137	6	25	1	297	344	483	827	186	339	20	6	359	129	+24	+5	-0	+7	+15	5.2
2022	24	MLB MLE	Toronto Blue Jays	—	697	652	188	43	1	24	41	155	2	13	8	288	332	468	800	179	347	22	6	349	122	+18	-1	-1	+7	+15	4.0
2023	25	MLB MLE	Toronto Blue Jays	—	601	571	174	30	3	20	27	115	2	5	3	305	338	473	811	168	355	19	4	354	126	+18	-0	+1	+6	+13	3.9
2024	26	MLB MLE	Toronto Blue Jays	—	336	311	70	16	1	4	20	64	3	5	1	225	278	322	600	96	269	19	6	265	65	-14	+1	+2	+4	+7	0.0
2025	27	MLB MLE	Toronto Blue Jays	—	628	582	180	44	1	18	40	91	3	4	3	309	357	481	838	172	342	14	6	363	132	+24	-0	-7	+7	+14	3.7
2016	18	ROK MLE	GCL Blue Jays	—	91	84	25	6	1	3	4	24	0	3	0	298	330	500	830	202	367	26	4	358	128	—	—	—	—	—	—
2016	18	ROK RAW	GCL Blue Jays	—	91	82	35	9	2	4	6	17	0	3	0	427	466	732	1.198	305	484	19	7	499	128	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	499	464	134	32	3	11	26	115	7	22	7	289	336	442	778	153	362	23	5	335	113	—	—	—	—	—	—
2017	19	A RAW	2 teams	—	499	448	162	41	4	14	42	81	7	22	7	362	425	565	989	203	417	16	8	433	113	—	—	—	—	—	—
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	553	140	38	6	9	34	119	2	32	11	253	299	392	691	139	305	20	6	299	88	—	—	—	—	—	—
2018	20	AA RAW	New Hampshire Fisher Cats	—	595	539	154	43	7	11	48	101	2	32	11	286	346	453	799	167	331	17	8	350	88	—	—	—	—	—	—
2019	21	AAA MLE	3 teams	—	472	436	119	34	2	16	31	114	2	20	9	273	324	470	794	197	334	24	7	343	118	—	—	—	—	—	—
2019	21	AAA RAW	3 teams	—	472	429	128	36	2	19	38	101	2	20	9	298	358	524	883	226	350	21	8	384	118	—	—	—	—	—	—
2020	22	MLB MLE	Toronto Blue Jays	—	128	123	37	9	1	5	5	27	0	4	1	301	328	512	840	211	352	21	4	356	127	+4	+0	+2	+1	+3	1.1
2020	22	MLB RAW	Toronto Blue Jays	—	128	123	37	9	1	5	5	27	0	4	1	301	328	512	840	211	352	21	4	367	127	+4	+0	+2	+1	+3	1.1
2021	23	MLB MLE	Toronto Blue Jays	—	690	640	190	30	1	29	40	137	6	25	1	297	344	483	827	186	337	20	6	359	129	+24	+5	-0	+7	+15	5.2
2021	23	MLB RAW	Toronto Blue Jays	—	690	640	191	30	1	29	40	137	6	25	1	298	345	484	830	186	339	20	6	364	129	+24	+5	-0	+7	+15	5.2
2022	24	MLB MLE	Toronto Blue Jays	—	697	652	188	43	1	24	41	155	2	13	8	288	332	468	800	179	345	22	6	349	122	+18	-1	-1	+7	+15	4.0
2022	24	MLB RAW	Toronto Blue Jays	—	697	652	189	43	1	24	41	155	2	13	8	290	334	469	803	179	347	22	6	353	122	+18	-1	-1	+7	+15	4.0
2023	25	MLB MLE	Toronto Blue Jays	—	601	571	174	30	3	20	27	115	2	5	3	305	338	473	811	168	352	19	4	354	126	+18	-0	+1	+6	+13	3.9
2023	25	MLB RAW	Toronto Blue Jays	—	601	571	175	30	3	20	27	115	2	5	3	306	340	475	815	168	355	19	4	359	126	+18	-0	+1	+6	+13	3.9
2024	26	MLB MLE	Toronto Blue Jays	—	336	311	70	16	1	4	20	64	3	5	1	225	278	322	600	96	269	19	6	265	65	-14	+1	+2	+4	+7	0.0
2024	26	MLB RAW	Toronto Blue Jays	—	336	311	70	16	1	4	20	64	3	5	1	225	278	322	600	96	269	19	6	271	65	-14	+1	+2	+4	+7	0.0
2025	27	MLB MLE	Toronto Blue Jays	—	628	582	180	44	1	18	40	91	3	4	3	309	357	481	838	172	340	14	6	363	132	+24	-0	-7	+7	+14	3.7
2025	27	MLB RAW	Toronto Blue Jays	—	628	582	181	44	1	18	40	91	3	4	3	311	358	483	841	172	342	14	6	370	132	+24	-0	-7	+7	+14	3.7
2016	18	ROK MLE	GCL Blue Jays	—	91	87	25	6	1	3	4	24	0	3	0	287	330	483	812	195	358	26	4	358	128	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	499	463	134	32	3	11	26	115	7	22	7	289	336	443	779	153	357	23	5	335	113	—	—	—	—	—	—
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	554	140	38	6	9	34	119	2	32	11	253	299	392	691	139	301	20	6	299	88	—	—	—	—	—	—
2019	21	AAA MLE	3 teams	—	472	436	119	34	2	16	31	114	2	20	9	273	324	470	794	197	336	24	7	343	118	—	—	—	—	—	—
2020	22	MLB MLE	Toronto Blue Jays	—	128	122	37	9	1	5	5	27	0	4	1	303	328	516	845	213	352	21	4	356	127	—	—	—	—	—	—
2021	23	MLB MLE	Toronto Blue Jays	—	690	639	190	30	1	29	40	137	6	25	1	297	344	484	828	186	339	20	6	359	129	—	—	—	—	—	—
2022	24	MLB MLE	Toronto Blue Jays	—	697	649	188	43	1	24	41	155	2	13	8	290	332	470	802	180	347	22	6	349	122	—	—	—	—	—	—
2023	25	MLB MLE	Toronto Blue Jays	—	601	567	174	30	3	20	27	115	2	5	3	307	338	476	815	169	355	19	4	354	126	—	—	—	—	—	—
2024	26	MLB MLE	Toronto Blue Jays	—	336	310	70	16	1	4	20	64	3	5	1	226	278	323	601	97	269	19	6	265	65	—	—	—	—	—	—
2025	27	MLB MLE	Toronto Blue Jays	—	628	580	180	44	1	18	40	91	3	4	3	310	357	483	840	172	342	14	6	363	132	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	25	MLB MLE	Toronto Blue Jays	—	601	567	174	30	3	20	27	115	2	5	3	307	338	476	815	169	355	19	4	354	126	—	—	—	—	—	—
2024	26	MLB MLE	Toronto Blue Jays	—	336	310	70	16	1	4	20	64	3	5	1	226	278	323	601	97	269	19	6	265	65	—	—	—	—	—	—
2025	27	MLB MLE	Toronto Blue Jays	—	628	580	180	44	1	18	40	91	3	4	3	310	357	483	840	172	342	14	6	363	132	—	—	—	—	—	—
YTD	28	MLB MLE	NYM	—	631	578	156	25	2	16	44	114	2	2	1	270	324	403	727	133	308	18	7	318	101	+1	+0	+1	+2	+14	1.8
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	28	MLB RAW	NYM	—	631	578	152	24	2	16	44	114	2	2	1	263	317	394	712	131	299	18	7	315	101	+1	+0	+1	+2	+14	1.8
YTD	28	MLB RAW	NYM	—	631	578	152	24	2	16	44	114	2	2	1	263	317	394	712	131	299	18	7	315	100	-0	+0	+1	+2	+14	1.7
ROS	28	MLB MLE	NYM	100%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		327	20	10	340	116	+0	+0	+0	+0	+0	0.0
ROS	28	MLB CTX	NYM	100%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		319	20	10	330	116	+0	+0	+0	+0	+0	0.0
FULL	28	MLB A+C	NYM	—	641	587	154	24	2	16	45	116	2	2	1	262	317	392	709	129	299	18	7	316	101	+1	+0	+1	+2	+14	1.9
TOT	28	MLB MLE	NYM	—	641	587	158	25	2	16	45	116	2	2	1	269	323	400	724	131	307	18	7	318	101	+1	+0	+1	+2	+14	1.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	29	MLB MLE	NYM	100%	660	609	179	37	2	16	44	115	2	3	1	294	344	440	784	146	337	17	7	347	121	+16	+0	+0	+2	+14	3.4
2028	30	MLB MLE	NYM	100%	659	608	177	36	2	16	44	117	2	3	1	291	341	436	777	145	334	18	7	343	118	+14	+0	-1	+2	+14	3.1
2029	31	MLB MLE	NYM	100%	646	596	170	35	1	15	43	116	2	2	1	285	335	423	758	138	330	18	7	337	114	+11	+0	-1	+2	+14	2.6
2030	32	MLB MLE	NYM	100%	633	584	163	33	1	14	42	117	2	2	1	279	330	411	741	132	325	18	7	329	109	+7	+0	-2	+2	+14	2.1
2031	33	MLB MLE	NYM	100%	546	503	137	27	1	12	36	103	2	1	0	272	323	402	725	129	318	19	7	320	102	+2	+0	-3	+2	+12	1.3
2032	34	MLB MLE	NYM	100%	462	428	112	21	1	9	30	90	1	1	0	262	312	379	690	117	311	19	6	309	95	-3	+0	-4	+2	+10	0.6
2033	35	MLB MLE	NYM	100%	359	332	85	15	1	7	23	73	1	0	0	256	306	370	677	114	303	20	6	297	87	-5	+0	-5	+1	+8	-0.1
2027	29	MLB CTX	NYM	100%	660	609	174	35	2	16	44	115	2	3	1	286	336	429	764	143	328	17	7	337	121	+16	+0	+0	+2	+14	3.4
2028	30	MLB CTX	NYM	100%	659	608	173	35	2	16	44	117	2	3	1	285	335	428	762	143	325	18	7	333	118	+14	+0	-1	+2	+14	3.1
2029	31	MLB CTX	NYM	100%	646	596	166	34	1	15	43	116	2	2	1	279	329	414	744	136	321	18	7	328	114	+11	+0	-1	+2	+14	2.6
2030	32	MLB CTX	NYM	100%	633	584	159	32	1	14	42	117	2	2	1	272	323	402	726	130	316	18	7	320	109	+7	+0	-2	+2	+14	2.1
2031	33	MLB CTX	NYM	100%	546	503	134	26	1	12	36	103	2	1	0	266	318	394	712	127	309	19	7	311	102	+2	+0	-3	+2	+12	1.3
2032	34	MLB CTX	NYM	100%	462	428	109	20	1	9	30	90	1	1	0	255	305	369	674	114	303	19	6	301	95	-3	+0	-4	+2	+10	0.6
2033	35	MLB CTX	NYM	100%	359	332	82	14	1	7	23	73	1	0	0	247	298	358	656	111	295	20	6	289	87	-5	+0	-5	+1	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7267	6744	1903	386	17	200	450	1372	29	72	25	282	330	433	763	151	327	19	6	336	112	+146	+4	-22	+52	+157	34.5
/ 162G	—	A+C		—	650	603	171	35	2	18	40	123	3	6	2	284	331	438	769	154	329	19	6	336	112	+13	+0	-2	+5	+14	3.1
Career	—	MLE		—	8712	8085	2282	486	29	228	531	1694	39	145	48	282	330	434	764	152	331	19	6	334	112	+146	+4	-22	+52	+157	34.5
/ 162G	—	MLE		—	650	603	170	36	2	17	40	126	3	11	4	282	330	433	763	151	330	19	6	334	112	+13	+0	-2	+5	+14	3.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jhonny Peraltalast yr '17 career totals — 14 seasons, 7,291 PA	11.0	7,291	202	17	267	329	423	+66	+63	42.9	37.5
/162	664	18	2	+6.1	+5.8	3.9	pk7: 32
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 16 projected seasons	12.9	8,561	233	78	285	330	437	+53	+13	44.4	37.0
/162	664	18	6	+4.1	+1.0	3.4	pk7: 30
#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
#3Starlin Castrolast yr '21 career totals — 12 seasons, 6,579 PA	9.9	6,579	138	89	280	319	412	+50	+63	33.0	29.4
/162	664	14	9	+5.1	+6.3	3.3	pk7: 26
#4Adam Joneslast yr '19 AS×10SS×7HOF career totals — 14 seasons, 7,516 PA	11.3	7,516	282	97	277	317	454	+18	-33	33.3	29.4
/162	664	25	9	+1.6	-2.9	2.9	pk7: 26
#5Orlando Hudsonlast yr '12 career totals — 11 seasons, 5,413 PA	8.2	5,413	93	85	273	341	412	+17	+34	28.6	26.6
/162	664	11	10	+2.1	+4.2	3.5	pk7: 25
#6Aaron 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

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
Bo Bichette (OGILVIE)	28	60	45	40	35	285/335/426	141	327	17	3	17%	7%	116	+2.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.J. Hardy 2011 · MLB	28	51→55	48→55	43→30	52	253/312/396	144	280	15	3	16%	8%	100	+1.3	248/294/410	162	264	20	2	15%	6%	97	+1.1	246/290/408	162	255	22	1	14%	6%	91	+0.7
✕Ronny Paulino 2009 · MLB	28	53→63	45→50	39→40	48	258/311/382	124	302	12	3	19%	7%	96	+1.0	256/312/379	123	299	12	4	18%	8%	96	+1.0	262/317/369	107	304	9	1	16%	7%	88	+0.2
●Martín Prado 2012 · MLB	28	56→65	47→50	38→45	51	279/325/421	143	294	14	5	11%	6%	110	+2.1	281/333/416	135	300	12	8	10%	7%	112	+2.2	283/336/413	130	303	11	7	10%	7%	110	+2.2
●Saul Soto 2007 · AAA	28	52→62	49→55	38→45	48	263/315/410	147	291	16	4	16%	6%	104	+1.6	266/318/434	168	297	20	4	18%	7%	112	+2.2	278/332/451	173	309	22	2	17%	7%	118	+1.8
✕Ramón Urías 2022 · MLB	28	51→61	47→50	41→50	47	248/323/384	137	323	14	5	26%	8%	102	+1.5	251/316/397	146	311	16	4	23%	7%	102	+1.5	250/314/396	146	303	16	3	22%	7%	99	+0.8
●Reed Johnson 2005 · MLB	28	56→66	45→50	45	45	273/327/394	122	310	12	7	16%	5%	105	+1.7	277/340/413	136	323	12	8	17%	6%	114	+2.4	288/355/413	125	340	10	9	17%	6%	116	+1.7
●Carlos Ruiz 2007 · MLB	28	53→63	47→50	44→45	47	262/314/405	143	292	13	6	16%	6%	103	+1.5	246/326/376	130	269	11	6	12%	10%	101	+1.4	297/384/441	144	322	13	2	11%	10%	124	+2.3
●Shea Hillenbrand 2003 · MLB	28	56→62	49→55	43→40	44	278/315/432	153	300	16	5	14%	4%	109	+2.0	288/329/453	165	305	18	4	12%	4%	120	+2.8	291/336/455	165	305	18	3	11%	4%	119	+2.7
●Starlin Castro 2018 · MLB	28	55→63	49→50	47→50	43	277/313/420	143	316	18	5	19%	5%	105	+1.7	279/321/430	151	322	17	5	18%	6%	111	+2.1	279/324/417	138	323	14	3	18%	6%	106	+1.6
●Mark Ellis 2006 · MLB	29	58→63	48→50	43→50	55	285/352/435	150	306	14	4	12%	9%	123	+3.0	262/331/411	149	287	15	8	14%	8%	111	+2.1	250/324/395	145	273	15	10	14%	8%	102	+1.3
✕J.R. House 2008 · MLB	28	53→60	46→50	37→30	46	261/304/397	136	289	13	3	15%	5%	97	+1.1	237/283/351	114	262	12	2	14%	6%	78	-0.3	229/274/328	99	251	11	0	14%	5%	66	-0.8
●Jhonny Peralta 2010 · MLB	28	53→63	49→55	40	50	262/323/415	153	310	16	3	20%	8%	108	+1.9	264/324/420	156	302	17	2	18%	8%	109	+2.0	279/344/442	163	323	18	2	19%	8%	119	+2.6
●Aaron Hill 2009 · MLB	27	57→61	45→60	44→50	50	277/329/411	134	308	11	7	14%	7%	109	+2.0	254/307/432	178	264	23	8	14%	6%	107	+1.8	272/331/432	160	291	16	13	13%	7%	111	+1.9
●Adam Frazier 2021 · MLB	29	53→63	48→50	39→50	51	260/321/406	146	283	14	5	14%	7%	105	+1.7	266/328/378	112	296	8	10	13%	7%	101	+1.4	262/325/368	106	291	7	11	12%	7%	95	+0.9
✕Gio Urshela 2020 · MLB	28	54→61	49→55	43→40	45	272/313/424	152	307	17	3	18%	5%	107	+1.8	276/325/438	162	322	18	4	20%	6%	114	+2.4	275/327/423	148	324	16	2	20%	7%	109	+1.3
●Miguel Montero 2011 · MLB	28	54→59	51→55	39→40	51	270/335/438	168	310	17	3	19%	8%	118	+2.6	266/348/424	158	317	17	2	20%	10%	120	+2.8	259/350/405	145	314	16	0	21%	11%	109	+1.8
●Frank Diaz 2012 · AAA	28	54→61	48→55	44→45	45	270/305/416	146	291	16	7	14%	4%	102	+1.5	263/300/429	166	291	21	6	18%	5%	103	+1.6	283/323/435	152	312	20	1	16%	5%	112	+1.7
✕Travis d'Arnaud 2017 · MLB	28	52→53	48→60	48→45	51	259/323/403	143	292	16	3	18%	8%	105	+1.7	249/307/421	172	277	21	3	18%	7%	104	+1.6	261/320/456	195	292	26	1	20%	7%	114	+1.2
✕Alex Gonzalez 2004 · MLB	27	50→55	49→55	39→40	46	248/307/409	161	283	15	3	19%	6%	101	+1.4	245/295/402	157	281	16	4	19%	6%	95	+1.0	248/295/421	173	273	19	1	17%	5%	96	+0.9
✕Devon Travis 2018 · MLB	27	55→62	49→50	46→50	44	274/313/434	160	320	15	9	20%	5%	109	+2.0	238/281/382	144	267	16	8	18%	5%	85	+0.2	224/263/356	132	245	16	5	16%	4%	70	-0.7

Career Stats + Projections

Career Comps

Career Path Comps