Addison Barger — OGILVIE

Addison Barger3B Toronto Blue Jays

Age 26 L/R 5'11" / 210 lbs MLB Svc 1.570 · Ctrl thru 2030 ILInjured 60-Day (D60)

2026 ROS PROJECTION28 act + 2 ros · stats below = ROS only

showingROS

wRC+†vL 87105vR 112

AVG/OBP/SLG—

PA2

HR0

K%25

BB%7

BABIP287

ISO193

MLB%100%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$21M ctrl surplus

Tools · Splits · ContractCON 50 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

Whiff%

5010.9%

xAVG

380.242

POWER55

Barrel%

6310.2

Avg EV

7290.6

Bat Spd

7273.7

EYE45

Chase%

4033.6%

SPEED55

Sprint

2226.1

Platoon Splits2024-2026 · 748 PA

vs LHP

vs RHP

Edge

126

622

—

wRC+

▶▶R

wOBA

246

314

▶▶R

ISO

110

206

▶▶R

BABIP

300

259

◀L

34.9%

23.0%

▶▶R

BB%

5.6%

6.6%

▶▶R

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

Status Pre-Arb

MLB Debut 2024

Service 1.570 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	—	—	—
2027	Pre-Arb	$0.8M	+1.4	$10M	+$10M
2028	Arb-1	$4M	+1.3	$9M	+$6M
2029	Arb-2	$6M	+1.1	$7M	+$3M
2030	Arb-3	$7M	+0.9	$3M	+$0.0M (cut)
Totals		$10M		$29M	+$19M

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)
2018	18	ROK	GCL Blue Jays	—	214	180	35	10	2	3	25	38	8	0	0	194	319	322	641	128	229	18	12	298	88	-3	+0	—	—	+5	0.2
2021	21	A+	Vancouver Canadians	—	19	19	3	1	0	0	0	6	0	0	0	158	158	211	368	53	231	32	0	163	-4	-2	+0	—	—	+0	-0.2
2021	21	A	Dunedin Blue Jays	—	374	325	81	21	2	18	36	123	8	7	0	249	339	492	831	243	333	33	10	361	130	+13	+1	—	—	+8	2.3
2022	22	AAA	Buffalo Bisons	—	36	31	11	1	0	3	5	5	0	0	1	355	444	677	1.122	323	348	14	14	482	212	+5	-0	—	—	+1	0.5
2022	22	AA	New Hampshire Fisher Cats	—	198	176	55	11	0	9	18	50	3	2	2	312	386	528	914	216	390	25	9	400	157	+13	-0	—	—	+4	1.8
2022	22	A+	Vancouver Canadians	—	292	260	78	21	2	14	25	76	4	7	2	300	370	558	928	258	370	26	9	400	157	+20	+1	—	—	+6	2.7
2022	22	INTL	Salt River Rafters	—	63	53	10	1	0	2	8	10	2	2	1	189	317	321	638	132	195	16	13	299	88	-1	+0	—	—	+1	0.1
2023	23	AAA	Buffalo Bisons	—	397	340	85	25	0	9	52	86	3	5	3	250	354	403	757	153	308	22	13	341	117	+8	-0	—	—	+9	1.7
2024	24	MLB	Toronto Blue Jays	—	225	208	41	11	0	7	14	60	1	2	0	197	250	351	601	154	239	27	6	267	67	-9	+0	-4	+2	+5	-0.6
2024	24	AAA	Buffalo Bisons	—	249	204	53	15	0	9	40	48	4	4	1	260	390	466	855	206	299	19	16	382	145	+13	+0	—	—	+5	1.9
2025	25	MLB	Toronto Blue Jays	—	502	460	112	32	1	21	36	121	3	4	1	243	302	454	756	211	284	24	7	331	110	+6	+0	-1	+2	+11	1.9
2025	25	AAA	Buffalo Bisons	—	45	38	8	2	0	2	5	13	1	0	0	211	318	421	739	211	250	29	11	324	105	+0	+0	—	—	+1	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	727	668	153	43	1	28	50	181	4	6	1	229	286	422	708	193	271	25	7	311	97	-3	+1	-5	+4	+16	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	18	ROK MLE	GCL Blue Jays	—	214	190	25	7	1	2	15	55	8	0	0	132	225	211	436	79	170	26	7	203	24	-19	+0	—	—	+5	-1.5
2021	21	A+ MLE	Vancouver Canadians	—	19	19	3	1	0	0	0	8	0	0	0	158	158	211	368	53	212	42	0	120	-33	-3	+0	—	—	+0	-0.3
2021	21	A MLE	Dunedin Blue Jays	—	374	334	63	15	2	13	27	158	8	7	0	189	266	362	628	174	283	42	7	268	68	-14	+1	—	—	+8	-0.5
2022	22	AAA MLE	Buffalo Bisons	—	36	33	10	1	0	2	3	6	0	0	1	303	361	515	876	212	320	17	8	391	151	+2	-0	—	—	+1	0.3
2022	22	AA MLE	New Hampshire Fisher Cats	—	198	181	48	9	0	7	13	60	3	2	2	265	325	431	756	166	343	30	7	318	101	+0	-0	—	—	+4	0.4
2022	22	A+ MLE	Vancouver Canadians	—	292	271	57	11	2	11	14	106	4	7	2	210	260	387	647	177	287	36	5	278	74	-9	+1	—	—	+6	-0.2
2023	23	AAA MLE	Buffalo Bisons	—	397	356	74	20	0	7	36	106	3	5	3	208	286	323	609	115	271	27	9	271	70	-14	-0	—	—	+9	-0.6
2024	24	MLB MLE	Toronto Blue Jays	—	225	209	41	11	0	7	14	60	1	2	0	196	250	349	599	153	239	27	6	263	64	-10	+0	-4	+2	+5	-0.6
2024	24	AAA MLE	Buffalo Bisons	—	249	218	49	14	0	7	27	57	4	4	1	225	321	385	707	161	272	23	11	306	93	-2	+0	—	—	+5	0.4
2025	25	MLB MLE	Toronto Blue Jays	—	502	461	112	32	1	21	36	121	3	4	1	243	302	453	755	210	284	24	7	321	104	+2	+0	-1	+2	+11	1.5
2025	25	AAA MLE	Buffalo Bisons	—	45	39	7	1	0	2	4	16	1	0	0	179	273	359	632	179	214	36	9	261	63	-2	+0	—	—	+1	-0.1
2018	18	ROK MLE	GCL Blue Jays	—	214	190	25	7	1	2	15	55	8	0	0	132	225	211	436	79	172	26	7	203	24	—	—	—	—	—	—
2018	18	ROK RAW	GCL Blue Jays	—	214	180	35	10	2	3	25	38	8	0	0	194	319	322	641	128	229	18	12	298	24	—	—	—	—	—	—
2021	21	A MLE	2 teams	—	393	353	66	16	2	13	27	166	8	7	0	187	260	354	614	167	296	42	7	261	63	—	—	—	—	—	—
2021	21	A RAW	2 teams	—	393	344	84	22	2	18	36	129	8	7	0	244	330	477	807	233	327	33	9	351	63	—	—	—	—	—	—
2022	22	A+ MLE	4 teams	—	589	542	127	23	2	22	34	193	9	11	6	234	291	406	697	172	317	33	6	301	90	—	—	—	—	—	—
2022	22	A+ RAW	4 teams	—	589	520	154	34	2	28	56	141	9	11	6	296	374	531	905	235	355	24	10	394	90	—	—	—	—	—	—
2023	23	AAA MLE	Buffalo Bisons	—	397	356	74	20	0	7	36	106	3	5	3	208	286	323	609	115	273	27	9	271	70	—	—	—	—	—	—
2023	23	AAA RAW	Buffalo Bisons	—	397	340	85	25	0	9	52	86	3	5	3	250	354	403	757	153	308	22	13	341	70	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	474	427	90	25	0	14	41	117	5	6	1	211	288	368	655	157	256	25	9	286	80	—	—	—	—	—	—
2024	24	AAA RAW	2 teams	—	474	412	94	26	0	16	54	108	5	6	1	228	323	408	731	180	270	23	11	327	80	—	—	—	—	—	—
2025	25	MLB MLE	2 teams	—	547	500	118	33	1	23	40	137	4	4	1	236	298	444	742	208	277	25	7	316	100	+0	+0	-1	+2	+12	1.4
2025	25	MLB RAW	2 teams	—	547	498	120	34	1	23	41	134	4	4	1	241	303	452	755	211	282	24	7	331	100	+0	+0	-1	+2	+12	1.4
2018	18	ROK MLE	GCL Blue Jays	—	214	189	25	7	1	2	15	55	8	0	0	132	225	212	437	79	170	26	7	203	24	—	—	—	—	—	—
2021	21	A MLE	2 teams	—	393	355	66	16	2	13	27	166	8	7	0	186	260	352	612	166	280	42	7	261	63	—	—	—	—	—	—
2022	22	A+ MLE	4 teams	—	589	541	127	23	2	22	34	193	9	11	6	235	291	407	697	172	310	33	6	301	90	—	—	—	—	—	—
2023	23	AAA MLE	Buffalo Bisons	—	397	355	74	20	0	7	36	106	3	5	3	208	286	324	610	115	271	27	9	271	70	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	474	425	90	25	0	14	41	117	5	6	1	212	288	369	657	158	257	25	9	286	80	—	—	—	—	—	—
2025	25	MLB MLE	2 teams	—	547	498	118	33	1	23	40	137	4	4	1	237	298	446	744	209	279	25	7	316	100	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	AAA MLE	Buffalo Bisons	—	397	355	74	20	0	7	36	106	3	5	3	208	286	324	610	115	271	27	9	271	70	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	474	425	90	25	0	14	41	117	5	6	1	212	288	369	657	158	257	25	9	286	80	—	—	—	—	—	—
2025	25	MLB MLE	2 teams	—	547	498	118	33	1	23	40	137	4	4	1	237	298	446	744	209	279	25	7	316	100	—	—	—	—	—	—
YTD	26	MLB MLE	TOR	—	28	22	1	1	0	0	5	7	0	0	0	45	222	91	313	45	62	25	18	169	0	-3	+0	+1	-0	+1	-0.2
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	26	MLB RAW	TOR	—	28	22	1	1	0	0	5	7	0	0	0	45	222	91	313	45	62	25	18	170	0	-3	+0	+1	-0	+1	-0.2
YTD	26	MLB RAW	TOR	—	28	22	1	1	0	0	5	7	0	0	0	45	222	91	313	45	62	25	18	170	2	—	—	—	—	—	—
ROS	26	MLB MLE	TOR	100%	2	2	0	0	0	0	0	0	0	0	0						286	0	0	323	105	+0	+0	-0	+0	+0	0.0
ROS	26	MLB CTX	TOR	100%	2	2	0	0	0	0	0	0	0	0	0						287	0	0	318	105	+0	+0	-0	+0	+0	0.0
FULL	26	MLB A+C	TOR	—	30	24	1	1	0	0	5	7	0	0	0	42	207	83	290	42	56	23	17	180	7	-3	+0	+1	-0	+1	-0.2
TOT	26	MLB MLE	TOR	—	30	24	1	1	0	0	5	7	0	0	0	42	207	83	290	42	56	23	17	179	7	-3	+0	+1	-0	+1	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	TOR	98%	519	471	113	29	1	20	39	129	4	6	1	240	304	433	737	193	285	25	8	323	105	+3	+1	-3	+2	+11	1.5
2028	28	MLB MLE	TOR	98%	511	463	111	28	1	20	39	128	4	5	1	240	304	434	738	194	285	25	8	322	104	+3	+1	-3	+2	+11	1.3
2029	29	MLB MLE	TOR	98%	499	454	107	27	1	19	38	126	4	5	1	236	300	425	726	189	284	25	8	320	103	+2	+1	-4	+2	+11	1.1
2030	30	MLB MLE	TOR	98%	487	443	104	26	1	18	37	124	4	4	1	235	300	420	719	185	282	25	8	317	101	+1	+0	-5	+2	+11	0.9
2031	31	MLB MLE	TOR	98%	472	429	99	25	1	17	36	122	4	3	1	231	296	413	709	182	279	26	8	313	98	-1	+0	-5	+2	+10	0.6
2032	32	MLB MLE	TOR	98%	453	413	93	23	1	16	34	118	3	3	1	225	289	402	691	177	274	26	8	306	93	-4	+0	-6	+2	+10	0.2
2033	33	MLB MLE	TOR	98%	423	385	84	21	0	14	32	113	3	2	0	218	283	382	665	164	268	27	8	297	87	-6	+0	-6	+2	+9	-0.2
2034	34	MLB MLE	TOR	94%	377	344	71	17	0	12	28	103	2	1	0	206	270	360	631	154	259	27	7	287	80	-9	+0	-7	+1	+8	-0.6
2027	27	MLB CTX	TOR	98%	509	462	112	28	1	20	38	127	4	5	1	242	306	437	743	195	286	25	7	318	105	+3	+1	-3	+2	+11	1.4
2028	28	MLB CTX	TOR	98%	501	454	109	28	1	19	38	125	4	5	1	240	304	432	736	192	286	25	8	317	104	+3	+1	-3	+2	+11	1.3
2029	29	MLB CTX	TOR	98%	489	445	106	27	1	18	37	123	4	5	1	238	302	425	727	187	285	25	8	315	103	+2	+1	-4	+2	+11	1.1
2030	30	MLB CTX	TOR	98%	477	434	103	26	1	18	36	121	4	4	1	237	302	426	728	189	283	25	8	312	101	+1	+0	-4	+2	+10	0.9
2031	31	MLB CTX	TOR	98%	463	422	98	25	1	17	35	119	3	3	1	232	296	417	713	185	280	26	8	308	98	-1	+0	-5	+2	+10	0.6
2032	32	MLB CTX	TOR	98%	444	404	92	23	1	16	34	116	3	3	1	228	293	408	701	181	275	26	8	301	93	-4	+0	-6	+2	+10	0.2
2033	33	MLB CTX	TOR	98%	415	378	82	20	0	14	31	111	3	2	0	217	282	381	663	164	269	27	7	293	87	-6	+0	-6	+1	+9	-0.2
2034	34	MLB CTX	TOR	94%	352	321	67	16	0	11	26	96	2	1	0	209	272	361	634	153	260	27	7	282	80	-8	+0	-6	+1	+8	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4379	3990	922	236	7	161	325	1119	31	34	7	231	294	415	709	184	279	26	7	308	89	-14	+4	-42	+17	+95	6.1
/ 162G	—	A+C		—	650	592	137	35	1	24	48	166	5	5	1	231	294	416	710	184	279	26	7	308	89	-2	+1	-6	+2	+14	0.9
Career	—	MLE		—	6357	5772	1282	320	12	217	476	1737	65	62	17	222	289	394	683	172	276	27	7	300	89	-15	+4	-43	+17	+97	6.2
/ 162G	—	MLE		—	650	590	131	33	1	22	49	178	7	6	2	222	289	393	683	171	277	27	8	300	89	-2	+1	-6	+2	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Mike Moustakaslast yr '23 career totals — 13 seasons, 5,577 PA	8.4	5,577	215	21	247	307	431	+14	+18	22.8	22.1
/162	664	26	3	+1.6	+2.1	2.7	pk7: 21
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	7.3	4,858	180	40	233	292	418	+17	-7	13.9	13.2
/162	664	25	5	+2.4	-1.0	1.9	pk7: 13
#3Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#4Brandon Drurylast yr '24 career totals — 9 seasons, 3,110 PA	4.7	3,110	109	5	246	298	425	+4	+2	9.5	10.6
/162	664	23	1	+0.8	+0.5	2.0	pk7: 12
#5Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#6Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8

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
Addison Barger (OGILVIE)	26	50	55	55	45	239/301/430	192	286	19	5	25%	7%	105	+1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daulton Varsho 2022 · MLB	26	46→49	56→60	55→50	50	240/307/436	196	271	23	14	21%	8%	107	+1.9	228/296/421	193	266	24	15	24%	8%	101	+1.4	220/291/409	189	258	24	15	25%	8%	94	+0.9
✕Ian Stewart 2011 · MLB	26	45→52	57→60	47→45	51	238/323/434	196	291	25	8	27%	10%	113	+2.3	202/284/354	152	270	18	6	30%	10%	81	-0.1	162/249/294	131	229	15	3	34%	9%	49	-1.0
✕Brad Miller 2017 · MLB	27	47→57	56→60	49→50	49	245/310/443	198	285	23	9	23%	8%	110	+2.1	231/314/413	182	295	21	7	27%	11%	105	+1.7	230/323/459	228	279	31	5	28%	11%	116	+1.2
✕Jesús Sánchez 2023 · MLB	25	47→52	56→60	49→50	45	246/309/436	190	304	24	5	27%	8%	109	+2.0	252/317/434	182	316	21	11	26%	8%	111	+2.1	251/318/429	178	310	20	13	25%	8%	107	+1.5
✕Nomar Mazara 2020 · MLB	25	49→52	54→55	46→40	47	255/314/433	178	297	22	4	22%	7%	109	+2.0	246/307/385	139	312	15	4	25%	7%	96	+1.0	242/308/357	115	311	11	0	24%	8%	88	+0.2
✕Ryan McMahon 2021 · MLB	26	44→54	53→55	45	47	227/301/399	172	301	22	5	31%	9%	97	+1.1	233/313/400	167	299	20	6	27%	10%	102	+1.5	230/313/394	163	297	19	6	28%	10%	99	+1.3
✕Scott Schebler 2018 · MLB	27	44→52	56→60	47→50	44	236/300/432	196	271	24	7	23%	6%	105	+1.7	219/292/373	154	266	19	5	25%	8%	88	+0.4	194/266/321	128	252	16	4	29%	7%	64	-0.8
●Sean Rodríguez 2010 · MLB	25	44→49	56→60	51→50	45	232/307/425	192	290	23	10	28%	8%	106	+1.8	231/306/385	154	287	16	14	24%	8%	96	+1.0	243/301/448	205	299	26	4	27%	6%	106	+0.8
✕Tyrone Taylor 2022 · MLB	28	48→52	55→60	53→55	46	249/315/441	192	291	23	10	23%	7%	112	+2.2	242/296/437	195	287	22	12	24%	6%	104	+1.6	237/288/427	190	284	20	14	24%	5%	97	+0.6
✕Chris Woodward 2003 · MLB	27	49→48	53→50	52→45	48	251/309/432	181	288	21	7	21%	7%	107	+1.9	253/309/390	137	305	12	4	20%	7%	97	+1.1	254/310/374	120	312	8	1	20%	7%	92	+0.3
✕Todd Linden 2006 · MLB	26	46→53	57→55	50→45	46	240/320/441	201	305	25	9	29%	8%	114	+2.4	244/322/394	150	328	15	9	28%	9%	103	+1.6	253/325/383	130	356	11	7	29%	9%	98	+0.6
●James Outman 2023 · MLB	26	46→51	55	54→50	43	228/306/419	191	327	22	13	35%	8%	103	+1.6	225/313/408	183	320	22	15	34%	10%	104	+1.6	213/304/393	180	303	22	16	35%	10%	96	+0.9
●Colby Rasmus 2013 · MLB	26	44→54	53→65	46→50	50	232/303/412	180	274	21	7	24%	9%	101	+1.4	242/307/449	207	308	26	4	29%	8%	111	+2.1	243/311/468	224	317	29	3	32%	8%	115	+1.8
✕Laynce Nix 2006 · MLB	25	48	53→60	49→45	43	246/289/423	176	293	20	5	24%	6%	97	+1.1	226/270/394	168	294	21	6	30%	5%	84	+0.2	251/305/455	204	294	24	1	23%	7%	105	+0.8
●Josh Reddick 2013 · MLB	26	45→55	58→60	50	48	240/297/446	206	264	26	8	21%	8%	107	+1.8	253/317/444	191	279	22	9	18%	9%	113	+2.3	282/342/442	160	302	17	9	13%	8%	118	+2.3
✕Jeff Baker 2007 · MLB	26	49→51	52→55	52→45	42	251/297/424	172	311	19	8	26%	6%	101	+1.4	251/306/415	164	316	18	7	25%	7%	102	+1.5	268/327/430	162	333	15	4	23%	8%	110	+1.0
●Jake Lamb 2017 · MLB	26	49→55	55→60	51→45	50	250/324/449	199	309	21	6	26%	10%	117	+2.6	233/331/430	197	284	23	6	25%	12%	115	+2.4	220/331/408	188	266	23	4	25%	13%	103	+1.0
✕Andrew Lambo 2015 · MLB	26	46→49	55→60	47→45	41	242/288/431	189	302	23	7	28%	6%	100	+1.3	218/267/353	135	280	14	6	26%	6%	74	-0.6	207/260/314	107	259	9	2	23%	6%	59	-0.7
✕Humberto Cota 2005 · MLB	26	46	58→50	50→30	43	247/303/448	201	296	27	7	27%	6%	109	+2.0	235/286/360	125	291	12	4	23%	6%	82	-0.0	265/335/384	119	319	12	0	20%	9%	105	+0.9
●Travis Shaw 2018 · MLB	28	49→52	56→60	51→45	50	256/324/454	198	300	24	8	23%	9%	118	+2.7	232/327/431	199	270	26	6	24%	12%	114	+2.4	216/323/408	192	248	26	4	24%	13%	103	+1.0

Career Stats + Projections

Career Comps

Career Path Comps