Bo Bichette

3B New York Mets

Age 29 R/R 5'11" / 190 lbs MLB H -5% Svc 6.366 · Ctrl thru 2028

Overview

MLB40-MANExtFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	26	MLBTOR	336	.225/.278/.322	4	5	68	0.1
2025	27	MLBTOR	628	.311/.358/.483	18	4	135	4.0
2026	28	MLBNYM	696	.260/.315/.390	18	2	103	2.1
2027PROJ	29	MLBNYM	648	.272/.325/.409	16	4	112	2.8
2028PROJ	30	MLBNYM	648	.268/.320/.400	16	2	108	2.2
2029PROJ	31	MLBNYM	648	.263/.315/.390	15	1	104	1.8

Last 3 seasons WAR 6.2 · Next 3 projected WAR 6.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service6.366First FA2028Options1NTC

2027Ext$42M2028Ext$42M

Skills · percentileStatcast 2024-2026

Whiff%90

Chase%90

xwOBA71

Avg EV63

Barrel%37

Bat Spd30

Form.271/.333/.408 · rolling true talent (45d window) · proj .280/.330/.421

CompsStarlin Castro (age 29) · Ronny Paulino (age 29) · T.J. Rivera (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 115112vR 101

AVG/OBP/SLG.272 / .325 / .409

PA648

HR16

K%18

BB%7

BABIP309

ISO136

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit option yr━ post-control-$73M ctrl surplus

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

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

905.6%

xAVG

850.279

POWER45

Barrel%

376.6

Avg EV

6390.0

Bat Spd

3069.2

EYE35

Chase%

9022.5%

SPEED40

Sprint

2226.1

Recent Formrolling true talent ⓘ

K%19%▼20% over 80 PA (45d) · proj 18%

BB%8%▲10% over 135 PA (60d) · proj 7%

ISO.137·.131 over 122 AB (60d) · proj .141

HR/BB3.7%·4.1% over 97 BBE (60d) · proj 3.4%

BABIP.314▼.269 over 93 BIP (60d) · proj .319

SLASH.271/.333/.408·proj .280/.330/.421

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 2028

NTCOPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$42M	+2.6	$21M	-$21M
2028	Ext	$42M	+2.2	$16M	-$21M
Totals		$84M		$38M	-$42M

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. 2027 = actual YTD + projected ROS + total. 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)
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	134	—	—	—	—	—	—
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	101	—	—	—	—	—	—
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	135	—	—	—	—	—	—
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	101	—	—	—	—	—	—
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	95	—	—	—	—	—	—
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	232	—	—	—	—	—	—
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	130	+5	+0	+2	+1	+3	1.1
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	132	+26	+5	-0	+7	+15	5.4
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	128	+20	-0	+1	+6	+13	4.1
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	68	-13	+1	+2	+4	+7	0.1
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	135	+26	-0	-7	+7	+14	4.0
2026	28	MLB	New York Mets	—	696	638	166	25	2	18	49	127	2	2	2	260	315	390	705	130	296	18	7	313	103	+2	-0	+1	+2	+15	2.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3988	3713	1070	215	10	129	236	766	19	62	23	288	334	456	790	168	332	19	6	348	122	+102	+3	-5	+41	+86	23.2
▸ 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	367	26	4	366	134	—	—	—	—	—	—
2017	19	A+ MLE	Dunedin Blue Jays	—	182	170	48	9	1	3	8	37	2	10	4	282	322	400	722	118	336	20	4	317	101	—	—	—	—	—	—
2017	19	A MLE	Lansing Lugnuts	—	317	293	91	24	2	9	19	78	5	12	3	311	363	498	861	188	397	25	6	368	135	—	—	—	—	—	—
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	551	149	39	6	10	36	119	2	32	11	270	317	417	735	147	322	20	6	317	101	—	—	—	—	—	—
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	403	159	+15	-1	-3	+5	+5	2.1
2019	21	AAA MLE	Buffalo Bisons	—	244	227	56	14	2	7	14	60	1	15	5	247	293	419	712	172	304	25	6	308	95	—	—	—	—	—	—
2019	21	A+ MLE	Dunedin Blue Jays	—	16	12	6	2	0	0	4	4	0	1	0	500	625	667	1.292	167	708	25	25	511	232	—	—	—	—	—	—
2020	22	MLB MLE	Toronto Blue Jays	—	128	124	37	9	1	5	4	27	0	4	1	298	320	508	828	210	352	21	3	361	130	+5	+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	364	132	+26	+5	-0	+7	+15	5.4
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	353	125	+21	-1	-1	+7	+15	4.2
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	358	128	+20	-0	+1	+6	+13	4.1
2024	26	MLB MLE	Toronto Blue Jays	—	336	312	70	16	1	4	19	64	3	5	1	224	275	321	596	96	269	19	6	268	68	-13	+1	+2	+4	+7	0.1
2025	27	MLB MLE	Toronto Blue Jays	—	628	584	180	44	1	18	38	91	3	4	3	308	354	479	833	171	342	14	6	367	135	+26	-0	-7	+7	+14	4.0
2026	28	MLB MLE	New York Mets	—	696	638	171	27	2	18	49	127	2	2	2	268	322	401	723	133	296	18	7	320	103	+2	-0	+1	+2	+15	2.1
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	366	134	—	—	—	—	—	—
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	134	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	499	463	139	33	3	12	27	115	7	22	7	300	348	462	810	162	376	23	5	349	123	—	—	—	—	—	—
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	123	—	—	—	—	—	—
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	551	149	39	6	10	36	119	2	32	11	270	317	417	735	147	326	20	6	317	101	—	—	—	—	—	—
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	101	—	—	—	—	—	—
2019	21	AAA MLE	3 teams	—	472	435	122	34	2	18	32	114	2	20	9	280	333	492	825	211	341	24	7	357	128	—	—	—	—	—	—
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	128	—	—	—	—	—	—
2020	22	MLB MLE	Toronto Blue Jays	—	128	124	37	9	1	5	4	27	0	4	1	298	320	508	828	210	348	21	3	361	130	+5	+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	130	+5	+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	364	132	+26	+5	-0	+7	+15	5.4
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	132	+26	+5	-0	+7	+15	5.4
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	353	125	+21	-1	-1	+7	+15	4.2
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	125	+21	-1	-1	+7	+15	4.2
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	358	128	+20	-0	+1	+6	+13	4.1
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	128	+20	-0	+1	+6	+13	4.1
2024	26	MLB MLE	Toronto Blue Jays	—	336	312	70	16	1	4	19	64	3	5	1	224	275	321	596	96	268	19	6	268	68	-13	+1	+2	+4	+7	0.1
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	68	-13	+1	+2	+4	+7	0.1
2025	27	MLB MLE	Toronto Blue Jays	—	628	584	180	44	1	18	38	91	3	4	3	308	354	479	833	171	339	14	6	367	135	+26	-0	-7	+7	+14	4.0
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	135	+26	-0	-7	+7	+14	4.0
2026	28	MLB MLE	New York Mets	—	696	638	171	27	2	18	49	127	2	2	2	268	322	401	723	133	306	18	7	320	103	+2	-0	+1	+2	+15	2.1
2026	28	MLB RAW	New York Mets	—	696	638	166	25	2	18	49	127	2	2	2	260	315	390	705	130	296	18	7	313	103	+2	-0	+1	+2	+15	2.1
2016	18	ROK MLE	GCL Blue Jays	—	91	87	25	6	1	3	4	24	0	3	0	287	330	483	812	195	367	26	4	366	134	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	499	462	139	33	3	12	27	115	7	22	7	301	348	463	811	162	375	23	5	349	123	—	—	—	—	—	—
2018	20	AA MLE	New Hampshire Fisher Cats	—	595	552	149	39	6	10	36	119	2	32	11	270	317	417	734	147	322	20	6	317	101	—	—	—	—	—	—
2019	21	AAA MLE	3 teams	—	472	435	122	34	2	18	32	114	2	20	9	280	333	492	825	211	346	24	7	357	128	—	—	—	—	—	—
2020	22	MLB MLE	Toronto Blue Jays	—	128	123	37	9	1	5	4	27	0	4	1	301	320	512	833	211	352	21	3	361	130	—	—	—	—	—	—
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	364	132	—	—	—	—	—	—
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	353	125	—	—	—	—	—	—
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	358	128	—	—	—	—	—	—
2024	26	MLB MLE	Toronto Blue Jays	—	336	311	70	16	1	4	19	64	3	5	1	225	275	322	597	96	269	19	6	268	68	—	—	—	—	—	—
2025	27	MLB MLE	Toronto Blue Jays	—	628	582	180	44	1	18	38	91	3	4	3	309	354	481	835	172	342	14	6	367	135	—	—	—	—	—	—
2026	28	MLB MLE	New York Mets	—	696	640	171	27	2	18	49	127	2	2	2	267	322	400	722	133	296	18	7	320	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	MLB MLE	Toronto Blue Jays	—	336	311	70	16	1	4	19	64	3	5	1	225	275	322	597	96	269	19	6	268	68	—	—	—	—	—	—
2025	27	MLB MLE	Toronto Blue Jays	—	628	582	180	44	1	18	38	91	3	4	3	309	354	481	835	172	342	14	6	367	135	—	—	—	—	—	—
2026	28	MLB MLE	New York Mets	—	696	640	171	27	2	18	49	127	2	2	2	267	322	400	722	133	296	18	7	320	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	NYM	100%	616	567	159	29	2	16	42	108	2	3	1	280	332	421	753	141	319	18	7	334	112	+9	+0	+1	+2	+13	2.6
▸ 2027 — real world (MLB)
2027	29	MLB CTX	NYM	100%	648	596	162	29	2	16	44	114	3	4	1	272	325	409	734	138	309	18	7	326	112	+9	+0	+2	+2	+14	2.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	NYM	100%	648	597	165	30	2	16	44	116	2	2	1	276	327	412	739	136	316	18	7	328	108	+6	+0	-1	+2	+14	2.2
2029	31	MLB MLE	NYM	100%	648	598	163	30	2	15	43	118	2	1	0	271	322	401	724	130	313	18	7	321	104	+3	+0	-1	+2	+14	1.8
2030	32	MLB MLE	NYM	100%	648	599	158	28	1	14	42	121	2	1	0	265	315	388	703	123	309	19	6	313	98	-2	+0	-2	+2	+14	1.3
2031	33	MLB MLE	NYM	100%	584	541	139	24	1	12	37	113	1	1	0	258	307	371	678	113	303	19	6	302	91	-6	+0	-3	+2	+13	0.6
2032	34	MLB MLE	NYM	100%	535	496	123	20	1	10	33	107	1	1	0	248	296	351	647	103	296	20	6	289	82	-11	+0	-4	+2	+12	-0.1
2028	30	MLB CTX	NYM	100%	648	597	160	28	2	16	44	116	2	2	1	268	320	400	720	133	306	18	7	320	108	+6	+0	-1	+2	+14	2.2
2029	31	MLB CTX	NYM	100%	648	598	158	28	2	15	43	118	2	1	0	263	315	390	705	127	303	18	7	314	104	+3	+0	-1	+2	+14	1.8
2030	32	MLB CTX	NYM	100%	648	599	154	27	1	14	42	121	2	1	0	257	308	377	685	119	299	19	6	305	98	-2	+0	-2	+2	+14	1.3
2031	33	MLB CTX	NYM	100%	584	541	136	23	1	12	37	113	1	1	0	250	300	360	660	110	294	19	6	295	91	-6	+0	-3	+2	+13	0.6
2032	34	MLB CTX	NYM	100%	535	496	120	19	1	10	33	107	1	1	0	241	289	341	630	100	286	20	6	283	82	-11	+0	-4	+2	+12	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7051	6544	1798	340	17	196	435	1341	27	68	24	275	323	422	744	147	318	19	6	329	111	+92	+4	-16	+51	+153	29.0
/ 162G	—	A+C		—	650	603	166	31	2	18	40	124	2	6	2	275	322	423	745	148	319	19	6	329	111	+8	+0	-1	+5	+14	2.7
Career	—	MLE		—	9144	8481	2360	474	31	244	560	1777	40	145	48	278	326	428	754	150	325	19	6	332	111	+101	+4	-14	+54	+167	31.8
/ 162G	—	MLE		—	650	603	168	34	2	17	40	126	3	10	3	279	327	426	753	148	326	19	6	332	111	+9	+0	-1	+5	+14	2.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Larry Gardner'08-'24 * career totals — 15 seasons, 7,685 PA	11.6	7,685	27	165	276*	342*	446*	+28	+27	38.3	32.7
/162	664	2	14	+2.4	+2.3	3.3	pk7: 27
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	11.6	7,699	211	71	280	324	428	+46	+11	35.6	31.3
/162	664	18	6	+3.9	+1.0	3.1	pk7: 27
#3Travis Fryman'90-'02 * career totals — 13 seasons, 7,217 PA	10.9	7,217	223	72	264*	325*	440*	+35	+13	32.2	29.6
/162	664	21	7	+3.2	+1.2	3.0	pk7: 27
#4Bill Bradley'01-'15 * career totals — 11 seasons, 5,419 PA	8.2	5,419	27	163	268*	325*	453*	+20	-6	25.1	27.4
/162	664	3	20	+2.5	-0.8	3.1	pk7: 30
#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
#6Pablo Sandovallast yr '21 career totals — 13 seasons, 5,045 PA	7.6	5,045	153	12	278	330	444	+11	+1	24.9	24.6
/162	664	20	2	+1.4	+0.1	3.3	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
Bo Bichette (OGILVIE)	29	60	45	40	35	278/330/417	140	319	16	4	18%	7%	112	+2.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Starlin Castro 2019 · MLB	29	57→63	48→50	45→50	46	283/325/422	140	331	15	5	19%	6%	111	+2.1	275/315/425	150	316	16	4	18%	6%	107	+1.9	276/314/421	145	313	15	1	17%	5%	107	+1.5
✕Ronny Paulino 2010 · MLB	29	51→61	48→50	42→40	50	254/310/397	143	293	15	4	19%	8%	99	+1.3	254/298/360	106	297	9	3	17%	6%	86	+0.3	252/294/346	94	300	8	0	18%	6%	79	-0.1
✕T.J. Rivera 2018 · MLB	29	57→66	45	44→45	43	277/314/400	123	312	12	4	16%	4%	101	+1.4	244/289/367	123	293	12	8	20%	5%	84	+0.2	217/256/330	113	265	12	2	23%	4%	63	-0.7
✕Ramón Urías 2023 · MLB	29	49→59	50	43→50	47	250/314/405	155	303	19	4	24%	7%	103	+1.6	249/312/391	142	305	16	5	23%	7%	99	+1.2	246/310/381	135	302	15	4	22%	7%	97	+0.7
✕Brendan Harris 2010 · MLB	29	54→58	43→50	40→45	49	261/318/383	121	308	10	3	18%	7%	99	+1.2	216/272/319	103	254	9	3	18%	6%	67	-1.1	219/298/331	111	254	10	1	17%	9%	79	-0.1
✕Harold Ramírez 2024 · MLB	29	59→65	46→50	42→50	44	290/334/425	135	334	14	7	17%	5%	115	+2.4	259/302/362	103	319	10	11	21%	5%	88	+0.4	251/283/305	54	323	3	12	22%	3%	65	-0.7
✕Chris Stynes 2002 · MLB	29	59→66	48→50	43→45	49	290/337/435	145	318	15	8	14%	6%	118	+2.6	253/317/393	140	281	13	5	15%	8%	101	+1.4	238/309/372	133	265	11	3	14%	8%	94	+0.4
✕Kevin Plawecki 2020 · MLB	29	47→57	47→45	41→30	49	233/307/374	141	273	14	3	20%	8%	94	+0.9	252/318/371	119	295	11	5	18%	7%	97	+1.1	238/300/320	82	288	6	0	19%	7%	76	-0.1
●Adam Frazier 2021 · MLB	29	52→62	47→50	39→50	50	257/315/401	144	279	14	5	14%	7%	102	+1.5	266/326/378	112	296	8	10	13%	7%	101	+1.4	262/323/369	107	291	7	11	12%	7%	98	+1.1
●Mark Ellis 2006 · MLB	29	58→63	48→50	43→50	55	284/349/434	149	305	14	4	12%	8%	122	+2.9	262/329/410	148	286	15	8	14%	8%	109	+2.0	250/321/394	145	272	15	10	14%	8%	104	+1.5
✕Andy Ibáñez 2022 · MLB	29	52→56	51→50	45	48	261/313/426	166	288	18	5	17%	6%	107	+1.9	244/298/384	140	283	14	7	18%	7%	92	+0.7	247/306/390	143	290	15	7	20%	7%	96	+0.6
✕J.R. House 2009 · MLB	29	51→59	47→50	36→30	49	255/304/392	138	275	15	3	14%	6%	96	+1.0	221/262/320	99	246	10	3	15%	5%	63	-1.3	205/240/283	77	229	8	0	14%	4%	43	-1.9
●Casey McGehee 2012 · MLB	29	51→61	49→55	35→40	49	254/307/405	151	281	17	2	17%	7%	100	+1.3	246/308/368	122	286	12	4	18%	8%	92	+0.7	255/320/349	94	302	7	3	17%	9%	92	+0.6
●Jhonny Peralta 2012 · MLB	30	54→63	50→55	38→40	50	273/328/433	160	306	18	2	18%	8%	114	+2.4	270/328/434	164	312	17	3	19%	8%	114	+2.4	275/337/435	160	317	18	2	19%	8%	119	+2.6
✕Orlando Arcia 2024 · MLB	29	49→59	51→50	45→55	49	252/312/410	158	285	20	4	20%	8%	103	+1.6	227/277/360	133	265	16	4	21%	6%	79	-0.2	214/260/336	123	248	15	3	21%	6%	67	-0.7
●Saul Soto 2007 · AAA	28	52→60	49→55	38→45	48	262/314/409	147	290	16	4	16%	6%	103	+1.6	261/313/426	165	291	20	4	18%	6%	107	+1.9	270/323/439	169	299	21	2	17%	7%	112	+1.5
✕Trevor Plouffe 2015 · MLB	29	50→54	50→60	43→45	50	252/316/415	163	290	17	3	20%	8%	106	+1.8	244/304/409	165	283	19	3	20%	8%	100	+1.3	234/295/395	162	270	20	2	21%	7%	94	+0.7
✕Chris Johnson 2014 · MLB	29	58→65	48→55	46→45	42	286/324/431	145	353	15	4	23%	5%	112	+2.2	263/298/377	114	345	12	5	26%	5%	90	+0.6	242/278/362	120	337	13	2	31%	4%	79	-0.1
✕Alexei Ramirez 2012 · MLB	30	54→59	47→50	44→55	50	268/317/400	132	285	15	10	13%	6%	102	+1.5	268/301/381	113	293	10	18	12%	4%	92	+0.7	270/298/377	107	294	9	22	12%	3%	90	+0.7
●Gio Urshela 2021 · MLB	29	56→61	53→55	45→40	48	284/335/462	178	315	20	4	17%	7%	124	+3.1	275/321/421	146	326	16	4	20%	6%	109	+2.0	278/321/408	130	331	14	2	20%	6%	106	+1.2

Bo Bichette

Career Stats + Projections

Career Comps

Career Path Comps