Sam Shaw

OF Vancouver Canadians

Age 22 L/R 5'10" / 180 lbs A+ Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTFG #918MiLBFA 2034

ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	A+TOR	28	.111/.143/.148	0	0	-46	—	.111/.143/.148
2025	20	ATOR	274	.253/.385/.418	7	9	70	—	.197/.297/.305
2026	21	A+TOR	96	.239/.432/.535	6	3	114	—	.179/.326/.397
2026	21	ATOR	25	.300/.417/.450	0	0	91	—	.286/.375/.429
2027PROJ0% MLB	22	MLBTOR	1	.243/.339/.387	0	0	107	0.0
2028PROJ43% MLB	23	MLBTOR	93	.245/.340/.394	2	2	109	0.2
2029PROJ58% MLB	24	MLBTOR	184	.247/.341/.398	5	3	110	0.5

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$3M2032Arb-2$5M2033Arb-3$6M

Skills · percentileMiLB Statcast 2026 A+

BB%99

Chase%99

wRC+95

ISO95

wOBA93

Whiff%78

Career WAR0 WAR median (P10 -0 / P90 8, comp-based) · star 4% · didn't stick 83%

CompsNelson Quiroz (age 22) · Noah Mendlinger (age 21) · Nate Roberts (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†107

AVG/OBP/SLG.243 / .339 / .387

PA1

HR0

K%25

BB%12

BABIP312

ISO142

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$13M ctrl surplus

Tools · ContractCON 60 / POW 30

Toolsscout grade

CONTACT60

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2031	Arb-1	$3M	+0.8	$2M	+$0.4M
2032	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2033	Arb-3	$6M	+0.7	$2M	+$0.0M (cut)
Totals		$5M		$11M	+$3M

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)
2023	18	ROK	FCL Blue Jays	—	40	29	6	2	0	0	10	6	1	0	2	207	425	276	701	69	261	15	25	347	56	—	—	—	—	—	—
2024	19	ROK	FCL Blue Jays	—	209	168	37	6	1	2	35	21	3	10	8	220	362	304	666	83	238	10	17	313	37	—	—	—	—	—	—
2025	20	A+	Vancouver Canadians	—	28	27	3	1	0	0	1	9	0	0	0	111	143	148	291	37	167	32	4	135	-46	—	—	—	—	—	—
2025	20	A	Dunedin Blue Jays	—	274	225	57	10	3	7	45	54	3	9	0	253	385	418	802	164	303	20	16	363	70	—	—	—	—	—	—
2026	21	A+	Vancouver Canadians	—	96	71	17	3	0	6	24	21	0	3	0	239	432	535	967	296	244	22	25	420	114	—	—	—	—	—	—
2026	21	A	Dunedin Blue Jays	—	25	20	6	1	1	0	4	7	0	0	0	300	417	450	867	150	462	28	16	372	91	—	—	—	—	—	—
2026	21	ROK	FCL Blue Jays	—	21	15	4	2	0	1	4	5	2	1	0	267	476	600	1.076	333	333	24	19	467	102	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	FCL Blue Jays	—	40	33	6	2	0	0	6	9	1	0	2	182	325	242	567	61	214	22	15	251	56	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	209	183	30	4	1	2	21	30	3	10	8	164	261	230	490	66	179	14	10	223	37	—	—	—	—	—	—
2025	20	A+ MLE	Vancouver Canadians	—	28	27	3	1	0	0	1	13	0	0	0	111	143	148	291	37	157	46	4	100	-46	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	274	239	47	8	3	4	31	76	3	9	0	197	297	305	602	109	264	28	11	272	70	—	—	—	—	—	—
2026	21	A+ MLE	Vancouver Canadians	—	96	78	14	2	0	5	17	28	0	3	0	179	326	397	724	218	213	29	18	336	114	—	—	—	—	—	—
2026	21	A MLE	Dunedin Blue Jays	—	25	21	6	1	1	0	3	10	0	0	0	286	375	429	804	143	423	40	12	303	91	—	—	—	—	—	—
2026	21	ROK MLE	FCL Blue Jays	—	21	17	3	1	0	1	2	7	2	1	0	176	333	412	745	235	241	33	10	319	102	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	40	33	6	2	0	0	6	9	1	0	2	182	325	242	567	61	250	22	15	251	56	—	—	—	—	—	—
2023	18	ROK RAW	FCL Blue Jays	—	40	29	6	2	0	0	10	6	1	0	2	207	425	276	701	69	261	15	25	347	56	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	209	183	30	4	1	2	21	30	3	10	8	164	261	230	490	66	183	14	10	223	37	—	—	—	—	—	—
2024	19	ROK RAW	FCL Blue Jays	—	209	168	37	6	1	2	35	21	3	10	8	220	362	304	666	83	238	10	17	313	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	302	267	49	8	3	4	31	89	3	9	0	184	276	281	557	97	257	29	10	256	59	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	302	252	60	11	3	7	46	63	3	9	0	238	362	389	751	151	290	21	15	341	59	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	142	115	24	5	1	6	23	45	2	4	0	209	350	426	776	217	277	32	16	328	108	—	—	—	—	—	—
2026	21	A+ RAW	3 teams	—	142	106	27	6	1	7	32	33	2	4	0	255	436	528	964	274	299	23	23	419	108	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	40	33	6	2	0	0	6	9	1	0	2	182	325	242	567	61	214	22	15	251	56	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	209	183	30	4	1	2	21	30	3	10	8	164	261	230	490	66	179	14	10	223	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	302	265	49	8	3	4	31	89	3	9	0	185	276	283	559	98	254	29	10	256	59	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	142	116	24	5	1	6	23	45	2	4	0	207	350	422	772	216	254	32	16	328	108	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Blue Jays	—	209	183	30	4	1	2	21	30	3	10	8	164	261	230	490	66	179	14	10	223	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	302	265	49	8	3	4	31	89	3	9	0	185	276	283	559	98	254	29	10	256	59	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	142	116	24	5	1	6	23	45	2	4	0	207	350	422	772	216	254	32	16	328	108	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TOR	0%	256	222	54	11	2	6	30	65	2	5	1	242	338	386	724	144	311	25	12	326	107	+2	+1	-1	-2	+6	0.4
▸ 2027 — real world (MLB)
2027	22	MLB CTX	TOR	0%	1	1	0	0	0	0	0	0	0	0	0	243	339	387	726	144	312	0	0	326	107	+0	+0	-0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TOR	43%	215	186	45	9	1	5	25	53	2	4	1	244	340	393	732	148	310	25	12	329	109	+2	+0	-1	-1	+5	0.5
2029	24	MLB MLE	TOR	58%	318	275	67	13	2	8	37	78	3	6	1	246	340	397	737	151	310	25	12	331	110	+4	+1	-1	-2	+7	0.9
2030	25	MLB MLE	TOR	65%	380	331	81	16	2	10	43	93	3	7	1	246	340	399	739	153	309	24	11	331	110	+5	+1	-0	-2	+8	1.1
2031	26	MLB MLE	TOR	68%	419	365	89	17	2	11	47	102	4	7	2	246	339	399	738	153	308	24	11	331	110	+5	+1	-0	-3	+9	1.2
2032	27	MLB MLE	TOR	68%	437	381	93	18	2	12	49	106	4	7	2	245	337	397	734	152	307	24	11	329	109	+4	+1	-0	-3	+9	1.2
2033	28	MLB MLE	TOR	68%	444	387	94	18	2	12	50	109	4	6	1	243	335	392	727	149	306	25	11	326	107	+4	+1	-1	-3	+10	1.0
2034	29	MLB MLE	TOR	66%	441	385	92	18	2	11	49	110	4	4	1	241	332	386	718	145	304	25	11	322	104	+2	+0	-2	-3	+10	0.8
2035	30	MLB MLE	TOR	66%	436	382	90	17	2	11	48	110	3	3	1	237	329	378	706	140	303	25	11	318	101	+1	+0	-3	-3	+9	0.5
2036	31	MLB MLE	TOR	65%	425	372	87	17	2	10	47	109	3	2	1	233	324	367	691	134	300	26	11	312	97	-1	+0	-3	-3	+9	0.2
2037	32	MLB MLE	TOR	65%	408	358	82	15	2	9	44	106	3	2	0	228	318	354	672	127	295	26	11	304	92	-4	+0	-4	-2	+9	-0.1
2028	23	MLB CTX	TOR	43%	93	81	20	4	1	2	11	23	1	2	0	245	340	394	734	149	312	25	12	329	109	+1	+0	-0	-1	+2	0.2
2029	24	MLB CTX	TOR	58%	184	159	40	8	1	5	21	45	2	3	1	247	341	398	739	152	311	24	11	331	110	+2	+0	-0	-1	+4	0.5
2030	25	MLB CTX	TOR	65%	246	214	53	10	1	7	28	60	2	4	1	247	341	400	741	153	311	24	11	332	110	+3	+0	-0	-1	+5	0.7
2031	26	MLB CTX	TOR	68%	285	248	62	12	2	8	32	69	3	5	1	247	340	401	740	154	309	24	11	331	110	+3	+1	-0	-2	+6	0.8
2032	27	MLB CTX	TOR	68%	297	259	64	12	2	8	33	72	3	5	1	246	338	398	736	152	308	24	11	330	109	+3	+1	-0	-2	+6	0.8
2033	28	MLB CTX	TOR	68%	302	262	64	12	2	8	34	74	3	4	1	244	336	393	729	149	307	25	11	327	107	+2	+0	-1	-2	+7	0.7
2034	29	MLB CTX	TOR	66%	293	256	62	12	2	7	33	73	2	3	1	241	333	387	720	145	306	25	11	323	104	+2	+0	-1	-2	+6	0.5
2035	30	MLB CTX	TOR	66%	286	250	59	11	1	7	32	72	2	2	1	238	329	379	708	140	304	25	11	319	101	+0	+0	-2	-2	+6	0.3
2036	31	MLB CTX	TOR	65%	276	242	56	11	1	6	30	71	2	1	0	234	325	368	693	134	301	26	11	313	97	-1	+0	-2	-2	+6	0.2
2037	32	MLB CTX	TOR	65%	264	231	53	10	1	6	29	69	2	1	0	229	318	355	674	127	297	26	11	305	92	-3	+0	-3	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2526	2202	533	102	14	64	283	628	22	30	7	242	334	388	723	146	309	25	11	323	98	+13	+3	-10	-15	+55	4.7
/ 162G	—	A+C		—	650	567	137	26	4	16	73	162	6	8	2	242	335	386	721	145	309	25	11	323	98	+3	+1	-3	-4	+14	1.2
Career	—	MLE		—	4754	4140	958	183	25	114	536	1184	43	74	22	231	326	370	696	139	294	25	11	314	98	+22	+5	-17	-24	+88	7.6
/ 162G	—	MLE		—	650	566	131	25	3	16	73	162	6	10	3	231	326	371	697	140	294	25	11	314	98	+4	+1	-3	-4	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Clyde Engle'09-'16 * career totals — 7 seasons, 3,206 PA	4.8	3,206	12	128	261*	332*	415*	-20	-4	8.4	9.5
/162	664	2	27	-4.2	-0.9	1.7	pk7: 11
#2Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#3Jody Gerutlast yr '10 career totals — 6 seasons, 1,992 PA	3.0	1,992	59	30	262	325	433	-11	+0	7.3	7.3
/162	664	20	10	-3.6	+0.1	2.4	pk7: 7
#4Mike Tauchmanlast yr '25 career totals — 6 seasons, 1,734 PA	2.6	1,734	41	28	249	350	387	-13	+2	6.5	6.5
/162	664	16	11	-4.9	+0.9	2.5	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.8	2,528	63	31	242	330	387	-15	+0	7.0	6.5
/162	664	17	8	-4.0	+0.0	1.8	pk7: 6
#5Hugh High'13-'18 * career totals — 5 seasons, 1,834 PA	2.8	1,834	3	56	252*	342*	397*	-10	+7	5.9	5.9
/162	664	1	20	-3.6	+2.4	2.1	pk7: 6
#6Jimmy Walsh'12-'17 * career totals — 6 seasons, 2,100 PA	3.2	2,100	6	92	232*	326*	393*	-12	+5	5.0	5.0
/162	664	2	29	-3.9	+1.5	1.6	pk7: 5

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
Sam Shaw (OGILVIE)	22	35→60	25→30	40	50	240/335/382	143	311	3	3	25%	12%	107	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nelson Quiroz 2024 · A	22	47	44→40	49→40	49	232/294/354	122	277	11	6	20%	8%	84	+0.1	243/290/320	77	279	4	3	14%	6%	74	-0.6	263/309/325	62	294	2	0	11%	6%	77	-0.1
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Nate Roberts 2011 · A	22	50	45	48→55	46	240/311/368	128	321	12	8	28%	8%	93	+0.8	257/353/363	106	321	7	14	20%	8%	109	+2.0	272/377/376	105	334	6	19	18%	8%	117	+1.3
✕Mike Boeve 2024 · A	22	50→53	48→40	49→45	45	245/306/384	139	326	15	7	29%	8%	95	+1.0	258/322/359	101	337	8	8	24%	8%	95	+0.9	257/324/350	93	335	8	9	24%	8%	91	+0.4
●Brett Baty 2022 · AA	22	53→59	48→50	46→45	44	252/319/395	143	357	15	8	32%	8%	102	+1.5	251/318/408	157	332	20	5	29%	8%	105	+1.7	242/313/397	154	311	21	3	28%	8%	99	+1.0
✕Nick Weglarz 2010 · AA	22	45→48	49→50	43→45	53	225/318/378	152	281	17	5	25%	11%	99	+1.2	223/313/373	150	295	15	5	28%	10%	96	+1.0	210/302/356	146	295	15	3	32%	10%	86	+0.2
●Wade Meckler 2023 · A	23	53→63	41→40	50	52	245/324/355	110	327	6	8	25%	10%	95	+1.0	276/344/378	102	355	7	11	22%	9%	107	+1.8	282/351/378	96	359	6	12	21%	9%	107	+1.2
●J.P. Crawford 2017 · AAA	22	51→57	40→45	47→50	54	244/313/337	93	285	7	11	17%	9%	86	+0.3	221/303/342	121	277	10	8	22%	10%	84	+0.2	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕Jorbit Vivas 2023 · A	22	51→57	44→45	47→50	51	249/323/369	120	275	11	4	14%	7%	98	+1.2	233/320/339	106	267	9	14	16%	9%	91	+0.6	227/320/324	97	263	8	18	15%	9%	86	+0.2
●Chase Meidroth 2023 · A	22	49→58	52→40	48→50	51	248/325/415	167	283	19	12	20%	8%	109	+2.0	254/348/353	99	314	9	12	20%	11%	104	+1.6	263/352/365	101	313	10	11	17%	11%	107	+1.8
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	52	249/316/366	117	293	12	4	19%	9%	94	+0.9	229/291/322	93	289	7	3	22%	8%	75	-0.5	272/336/375	103	335	10	2	20%	8%	101	+0.8
✕Greg Garcia 2013 · AA	23	52→55	40	46→50	51	247/324/346	99	306	7	9	20%	9%	93	+0.8	244/319/337	93	315	6	12	23%	8%	89	+0.5	240/347/331	91	307	6	3	21%	12%	100	+0.7
✕Canaan Smith-Njigba 2021 · A	22	50→51	44→45	50→55	47	239/306/363	124	325	11	10	28%	9%	90	+0.6	237/310/354	117	348	9	17	31%	10%	89	+0.5	237/311/358	121	351	9	21	32%	10%	87	+0.2
●Alex Romero 2006 · AA	22	55→65	46→45	43→50	45	273/313/405	131	306	13	10	16%	5%	102	+1.5	265/305/368	103	297	7	14	13%	5%	90	+0.6	287/339/379	92	309	7	8	9%	6%	104	+1.3
●Taylor Green 2009 · A	22	51→56	46→50	40→30	50	253/316/384	131	292	14	3	18%	8%	99	+1.2	247/305/380	133	282	13	2	17%	7%	93	+0.8	251/309/394	143	284	14	0	17%	7%	97	+0.8
✕Brandon Jones 2006 · A	22	52→54	47→50	47→50	51	254/324/399	145	305	13	7	21%	9%	105	+1.7	246/295/391	145	311	14	11	24%	6%	93	+0.8	254/309/388	134	319	11	10	23%	7%	96	+0.9
●Boog Powell 2015 · A	22	59→61	37→40	46→50	55	274/349/348	74	340	4	13	19%	10%	102	+1.5	272/332/364	92	335	6	15	19%	8%	99	+1.3	282/341/380	98	341	7	16	18%	8%	103	+1.0
✕Caleb Gindl 2011 · AA	22	50→57	45→50	48→50	47	246/306/375	130	309	12	10	24%	8%	93	+0.8	247/305/379	132	308	12	7	23%	7%	93	+0.8	246/305/385	138	307	14	4	23%	7%	91	+0.6
✕Leo Jiménez 2023 · A	22	48→52	41→45	48→45	51	225/337/325	100	294	8	9	24%	9%	95	+1.0	235/325/347	112	296	10	7	23%	7%	95	+0.9	237/330/347	110	299	10	5	22%	7%	95	+0.5
✕Ryan Wheeler 2010 · A	22	50→57	45→50	48→40	48	241/313/369	128	300	12	8	23%	8%	95	+0.9	253/295/375	122	323	12	4	24%	5%	88	+0.5	260/301/393	133	327	13	4	24%	5%	94	+0.8

Sam Shaw

Career Stats + Projections

Career Comps

Career Path Comps