Eric Snow — OGILVIE

Eric SnowSS Dunedin Blue Jays

Age 22 R/R 5'8" / 188 lbs A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION467 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%22

BB%11

BABIP315

ISO110

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$58M ctrl surplus

Tools · ContractCON 63 / POW 38

Toolsscout grade

CONTACT63

scouting grade only

POWER38

scouting grade only

EYE49

scouting grade only

SPEED61

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+1.2	$7M	+$6M
2032	Pre-Arb	$0.9M	+1.2	$6M	+$6M
2033	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2034	Arb-1	$3M	+0.9	$2M	+$0.5M
2035	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2036	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$6M		$21M	+$16M

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)
2025	21	A	Dunedin Blue Jays	—	104	93	22	6	0	0	6	9	4	2	1	237	311	301	612	65	259	9	6	282	77	-3	+0	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Dunedin Blue Jays	—	104	95	20	5	0	0	4	13	4	2	1	211	272	263	535	53	239	12	4	246	53	-6	+0	—	—	+2	-0.4
2025	21	A MLE	Dunedin Blue Jays	—	104	95	20	5	0	0	4	13	4	2	1	211	272	263	535	53	241	12	4	246	53	—	—	—	—	—	—
2025	21	A RAW	Dunedin Blue Jays	—	104	93	22	6	0	0	6	9	4	2	1	237	311	301	612	65	259	9	6	282	53	—	—	—	—	—	—
2025	21	A MLE	Dunedin Blue Jays	—	104	95	20	5	0	0	4	13	4	2	1	211	272	263	535	53	239	12	4	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Dunedin Blue Jays	—	104	95	20	5	0	0	4	13	4	2	1	211	272	263	535	53	239	12	4	246	53	—	—	—	—	—	—
YTD	22	A MLE	TOR	—	467	426	103	21	0	4	33	92	2	30	10	242	299	319	619	77	295	20	7	278	74	-14	+2	+0	+5	+10	0.3
▸ 2026 season
YTD	22	A RAW	TOR	—	182	158	45	9	0	1	21	31	1	16	6	285	372	361	733	76	344	17	12	334	74	—	—	—	—	—	—
YTD	22	A+ RAW	TOR	—	167	147	45	8	0	3	17	15	0	8	2	306	378	422	800	116	318	9	10	354	74	—	—	—	—	—	—
YTD	22	AA RAW	TOR	—	118	106	23	7	0	1	10	22	1	6	2	217	291	311	602	94	262	19	8	274	74	—	—	—	—	—	—
ROS	22	A MLE	TOR	0%	9	8	2	0	0	0	1	2	0	0	0	250	333	250	583		314	22	11	295	86	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	TOR	—	476	434	105	21	0	4	34	94	2	30	10	242	300	318	618	76	295	20	7	278	74	-15	+2	+0	+5	+10	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TOR	43%	504	460	119	25	2	7	35	105	4	16	5	259	317	367	684	109	314	21	7	302	90	-6	+1	+0	+5	+11	1.2
2028	24	MLB MLE	TOR	58%	545	496	128	26	2	9	39	113	5	17	5	258	319	373	692	115	313	21	7	308	95	-3	+1	+0	+6	+12	1.6
2029	25	MLB MLE	TOR	65%	558	508	131	27	2	10	40	115	5	17	5	258	318	378	696	120	312	21	7	312	97	-2	+1	+0	+6	+12	1.8
2030	26	MLB MLE	TOR	68%	557	506	132	27	2	11	41	115	5	17	5	261	322	387	710	126	312	21	7	313	98	-1	+1	+0	+6	+12	1.9
2031	27	MLB MLE	TOR	68%	552	501	130	26	2	11	41	114	5	17	5	259	322	385	707	126	312	21	7	314	98	-1	+1	+0	+6	+12	1.9
2032	28	MLB MLE	TOR	68%	545	494	127	26	2	10	41	114	5	16	5	257	320	379	699	121	312	21	8	313	98	-1	+1	-1	+6	+12	1.7
2033	29	MLB MLE	TOR	66%	537	486	125	25	2	10	41	113	5	15	5	257	321	379	700	121	311	21	8	311	97	-2	+1	-1	+6	+12	1.5
2034	30	MLB MLE	TOR	66%	528	478	121	25	1	9	40	113	5	13	4	253	317	366	684	113	311	21	8	308	95	-3	+1	-2	+6	+11	1.3
2035	31	MLB MLE	TOR	65%	518	470	118	24	1	9	39	112	4	11	4	251	314	364	678	113	309	22	8	305	92	-5	+1	-3	+6	+11	1.0
2036	32	MLB MLE	TOR	65%	407	370	91	18	1	7	31	90	3	7	2	246	309	357	666	111	306	22	8	299	89	-6	+1	-4	+4	+9	0.5
2037	33	MLB MLE	TOR	65%	377	343	83	16	1	6	28	85	3	5	2	242	305	347	652	105	302	23	7	292	84	-7	+0	-4	+4	+8	0.1
2038	34	MLB MLE	TOR	60%	333	302	71	13	1	5	25	77	3	3	1	235	300	334	634	99	297	23	8	284	78	-9	+0	-5	+4	+7	-0.3
2027	23	MLB CTX	TOR	43%	218	199	52	11	1	3	15	45	2	7	2	261	319	372	691	111	315	21	7	297	90	-2	+1	+0	+2	+5	0.5
2028	24	MLB CTX	TOR	58%	316	288	74	15	1	5	22	65	3	10	3	257	316	368	684	111	315	21	7	303	95	-2	+1	+0	+3	+7	0.9
2029	25	MLB CTX	TOR	65%	362	330	85	17	1	7	26	75	3	11	4	258	318	379	696	121	314	21	7	306	97	-1	+1	+0	+4	+8	1.1
2030	26	MLB CTX	TOR	68%	379	345	89	18	1	7	28	78	3	12	4	258	319	377	696	119	313	21	7	308	98	-1	+1	+0	+4	+8	1.3
2031	27	MLB CTX	TOR	68%	375	341	88	18	1	7	28	78	3	12	4	258	320	378	698	120	313	21	7	308	98	-1	+1	+0	+4	+8	1.2
2032	28	MLB CTX	TOR	68%	370	336	87	18	1	7	28	77	3	11	3	259	322	381	702	122	313	21	8	307	98	-1	+1	-0	+4	+8	1.2
2033	29	MLB CTX	TOR	66%	357	324	84	17	1	7	27	75	3	10	3	259	322	383	705	123	313	21	8	305	97	-1	+1	-1	+4	+8	1.0
2034	30	MLB CTX	TOR	66%	346	314	80	16	1	6	26	74	3	9	3	255	318	369	687	115	312	21	8	303	95	-2	+1	-1	+4	+7	0.9
2035	31	MLB CTX	TOR	65%	337	305	78	16	1	6	26	73	3	7	2	256	320	374	694	118	310	22	8	299	92	-3	+1	-2	+4	+7	0.7
2036	32	MLB CTX	TOR	65%	263	239	60	12	1	4	20	58	2	5	1	251	314	360	674	109	307	22	8	294	89	-4	+1	-2	+3	+6	0.3
2037	33	MLB CTX	TOR	65%	243	221	54	10	1	4	18	55	2	3	1	244	307	353	660	109	304	23	7	287	84	-5	+0	-3	+3	+5	0.1
2038	34	MLB CTX	TOR	60%	200	181	43	8	0	3	15	46	2	2	1	238	303	331	635	94	298	23	8	279	78	-5	+0	-3	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3766	3423	874	176	11	66	279	799	32	99	31	255	317	371	688	116	313	21	7	301	93	-28	+7	-13	+40	+82	9.0
/ 162G	—	A+C		—	650	591	150	30	2	11	48	138	6	17	5	254	316	367	683	113	312	21	7	301	93	-5	+1	-2	+7	+14	1.6
Career	—	MLE		—	6074	5517	1398	283	19	104	446	1281	56	156	49	253	316	368	684	115	311	21	7	305	93	-46	+12	-20	+64	+129	14.2
/ 162G	—	MLE		—	650	590	149	30	2	11	48	137	6	17	5	253	315	366	681	114	309	21	7	305	93	-5	+1	-2	+7	+14	1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.0	3,954	68	101	255	313	370	+41	+27	12.7	11.1
/162	664	11	17	+6.9	+4.5	2.1	pk7: 9
#4Kazuo Matsuilast yr '10 career totals — 7 seasons, 2,555 PA	3.8	2,555	32	102	267	321	380	+13	+5	9.3	9.3
/162	664	8	27	+3.3	+1.2	2.4	pk7: 9
#5Joey Wendlelast yr '23 career totals — 7 seasons, 2,286 PA	3.4	2,286	31	61	262	312	385	+10	+26	9.3	9.3
/162	664	9	18	+3.0	+7.6	2.7	pk7: 9
#6José Perazalast yr '21 career totals — 6 seasons, 2,134 PA	3.2	2,134	35	76	266	307	373	+14	+31	8.6	8.6
/162	664	11	24	+4.5	+9.7	2.7	pk7: 9

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
Eric Snow (OGILVIE)	22	58→63	33→38	56→61	49	251/307/343	92	314	2	8	21%	7%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Josh Rutledge 2012 · A	23	56→60	45→50	54→50	42	270/319/404	134	344	11	12	24%	5%	104	+1.6	255/300/393	138	313	12	14	22%	5%	95	+0.9	252/299/388	136	308	12	13	22%	5%	91	+0.6
●Vaughn Grissom 2022 · A	21	53→62	42→45	54→55	49	253/325/364	110	312	9	12	21%	8%	97	+1.1	271/334/394	123	324	11	17	19%	7%	107	+1.9	270/336/389	118	323	11	18	19%	7%	104	+1.3
✕Iván De Jesús Jr. 2010 · AA	23	58→65	39→40	51→50	52	275/339/363	88	330	6	12	18%	8%	101	+1.4	243/287/325	82	304	6	7	21%	5%	74	-0.6	263/320/354	91	340	5	4	23%	6%	89	+0.3
✕Eric Fryer 2009 · A	23	53→62	44→45	51→50	44	256/308/380	123	325	10	10	24%	6%	95	+0.9	239/305/351	112	309	9	10	24%	7%	86	+0.3	233/307/341	108	301	9	10	24%	8%	82	+0.0
✕Eliezer Álvarez 2017 · A	22	56→61	41→45	52→55	44	262/315/376	114	342	6	18	24%	6%	95	+1.0	219/274/326	107	320	8	18	32%	6%	70	-0.9	191/249/291	100	290	9	19	35%	7%	50	-1.4
✕Travis Jones 2018 · A	22	54→51	41→40	55	44	256/321/368	112	322	7	18	22%	6%	97	+1.1	230/306/316	86	324	7	21	29%	6%	80	-0.1	213/301/290	78	311	7	21	31%	7%	70	-0.5
✕Chin-Lung Hu 2006 · A	22	57→61	42→45	51→50	44	276/307/384	108	301	8	16	12%	3%	95	+0.9	258/295/362	104	290	8	11	14%	5%	85	+0.2	267/297/374	108	298	8	11	13%	4%	84	+0.1
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2
✕Ke'Bryan Hayes 2019 · AA	22	50→55	41→50	53→50	47	240/299/345	104	301	6	14	22%	7%	82	+0.0	245/303/377	132	305	11	12	22%	7%	92	+0.7	257/314/398	140	314	13	16	21%	7%	99	+1.0
●Tyler Kuhn 2009 · A	22	55→65	41→40	53→50	44	260/299/376	116	317	5	7	20%	5%	89	+0.5	262/300/347	85	325	3	11	19%	5%	82	+0.0	277/317/363	85	342	2	12	18%	5%	90	+0.5
✕Myles Straw 2017 · A	22	57→58	36→40	51→60	43	260/310/331	71	362	2	17	27%	7%	82	+0.0	260/325/322	62	341	2	31	22%	9%	86	+0.3	266/338/328	62	339	2	39	20%	9%	91	+0.6
✕A.J. Jimenez 2012 · A	22	53→58	40→45	50	40	250/287/347	97	323	6	12	24%	4%	78	-0.3	241/279/337	96	296	6	7	20%	5%	73	-0.6	235/268/323	88	283	6	3	18%	4%	64	-0.5
✕Austin Martin 2022 · AA	23	51→52	40	51→60	51	238/344/333	95	319	6	14	25%	10%	99	+1.3	228/320/311	83	283	5	25	20%	9%	85	+0.2	257/354/339	82	314	4	22	17%	11%	101	+0.8
●Jemile Weeks 2009 · A	22	50→60	41→45	52→55	50	239/316/342	103	298	8	14	22%	8%	89	+0.5	247/305/360	113	295	9	16	19%	7%	88	+0.5	262/318/375	113	310	7	21	17%	7%	94	+0.7
✕Lou Marson 2008 · A	22	50→54	40	49→50	47	236/302/335	99	315	7	4	26%	8%	82	+0.0	247/319/337	90	319	6	7	22%	9%	89	+0.5	239/318/326	87	301	5	8	21%	10%	84	+0.1
✕Jesus Rodriguez 2023 · A	21	49→55	41→45	50	49	236/301/348	112	284	7	12	19%	7%	84	+0.2	250/311/362	112	306	9	14	20%	7%	91	+0.7	256/318/360	105	310	9	16	19%	7%	92	+0.5
●Amed Rosario 2018 · MLB	22	55→61	41→50	56→55	40	262/296/368	106	333	7	18	23%	4%	86	+0.3	271/307/400	129	331	11	19	21%	5%	98	+1.2	277/316/403	125	330	9	15	18%	5%	100	+1.4
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4

Career Stats + Projections

Career Comps

Career Path Comps