Player 822232 — OGILVIE

Player 8222321B DSL Blue Jays Blue

Age — —/— ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION144 act + 19 ros · stats below = ROS only

showingROS

wRC+†72

AVG/OBP/SLG.167 / .211 / .167

PA19

HR0

K%26

BB%5

BABIP328

ISO64

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	ROK MLE	TOR	—	144	130	40	3	1	0	11	36	1	19	3	308	366	346	712	38	421	25	8	311	97	-1	+3	+0	-3	+3	0.3
▸ 2026 season
YTD	—	ROK RAW	TOR	—	144	123	48	4	1	0	18	25	1	19	3	390	472	439	911	49	485	17	12	409	97	—	—	—	—	—	—
ROS	—	ROK MLE	TOR	0%	19	18	3	0	0	0	1	5	0	1	0	167	211	167	377		326	26	5	274	72	-1	+0	+0	-0	+0	-0.0
TOT	—	ROK MLE	TOR	—	163	148	43	3	1	0	12	41	1	20	3	291	348	324	672	34	398	25	7	307	94	-1	+3	+0	-3	+4	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TOR	0%	279	253	61	7	2	3	22	73	2	10	1	241	307	320	627	79	321	26	8	280	75	-8	+2	+0	-5	+6	-0.6
2028	25	MLB MLE	TOR	0%	384	348	83	10	2	5	30	99	3	13	2	239	304	322	626	83	319	26	8	284	79	-10	+2	+0	-7	+8	-0.7
2029	25	MLB MLE	TOR	0%	455	412	98	12	2	6	36	117	4	15	2	238	305	320	626	83	317	26	8	288	81	-10	+2	+0	-8	+10	-0.6
2030	25	MLB MLE	TOR	0%	503	454	110	14	3	7	40	129	4	16	2	242	309	333	642	90	316	26	8	290	82	-10	+2	+0	-9	+11	-0.6
2031	25	MLB MLE	TOR	0%	536	484	117	15	3	8	43	137	4	17	2	242	309	335	644	93	316	26	8	291	83	-11	+3	+0	-10	+12	-0.6
2032	25	MLB MLE	TOR	0%	560	505	122	15	3	9	45	143	5	18	2	242	310	337	647	95	316	26	8	293	84	-11	+3	+0	-10	+12	-0.6
2033	25	MLB MLE	TOR	0%	577	521	127	16	3	10	46	147	5	19	3	244	311	344	655	100	316	25	8	294	85	-10	+3	+0	-10	+13	-0.6
2034	25	MLB MLE	TOR	0%	590	533	129	16	3	10	47	151	5	19	3	242	309	340	649	98	316	26	8	295	86	-10	+3	+0	-11	+13	-0.5
2027	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	323	—	—	275	75	—	—	+0	-0	—	—
2028	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	320	—	—	280	79	—	—	+0	-0	—	—
2029	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	319	—	—	283	81	—	—	+0	-0	—	—
2030	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	318	—	—	285	82	—	—	+0	-0	—	—
2031	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	318	—	—	286	83	—	—	+0	-0	—	—
2032	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	318	—	—	287	84	—	—	+0	-0	—	—
2033	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	317	—	—	289	85	—	—	+0	-0	—	—
2034	25	MLB CTX	TOR	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	317	—	—	290	86	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3903	3528	850	105	21	58	310	1001	32	128	17	241	308	332	640	91	318	26	8	290	83	-81	+19	+0	-70	+85	-4.8
/ 162G	—	MLE		—	650	588	141	17	3	10	52	167	5	21	3	240	307	330	637	90	316	26	8	290	83	-14	+3	+0	-12	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#6Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
/162	664	4	56	-3.9	-2.7	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,160	60	136	240	304	330	-47	+0	0.0	0.5
/162	664	10	22	-7.4	+0.0	0.0	pk7: 1

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
Player 822232 (OGILVIE)	25	—	—	—	—	235/300/293	58	326	2	16	27%	8%	72	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jimmy Herron 2021 · A	25	40→45	41→45	48→55	47	196/269/292	96	252	8	14	25%	8%	61	-1.5	213/289/334	121	273	12	18	25%	8%	78	-0.3	219/295/351	133	265	15	24	23%	8%	81	-0.0
✕Nate Eaton 2022 · A	25	40→50	40→45	55→60	43	197/264/288	91	273	7	19	29%	7%	57	-1.8	216/270/336	120	285	13	28	28%	6%	71	-0.8	213/270/337	124	278	12	27	27%	6%	68	-0.7
✕Allen Córdoba 2021 · A	25	47→52	40→45	53→55	40	228/277/321	93	297	7	20	25%	5%	70	-0.9	229/299/337	108	283	9	16	21%	6%	82	+0.0	227/303/337	110	275	9	18	20%	6%	82	+0.0
✕Nick Podkul 2021 · A	24	44	38→50	53→50	48	207/282/291	84	275	5	14	25%	8%	65	-1.2	202/286/330	128	273	14	8	29%	9%	76	-0.4	201/298/342	142	277	17	3	32%	10%	80	-0.1
✕Max Schuemann 2021 · A	24	44→48	39→45	49→60	42	209/272/300	91	281	5	17	26%	6%	63	-1.4	223/308/330	107	302	9	28	27%	8%	84	+0.2	221/319/328	107	303	11	22	28%	10%	86	+0.2
✕Vinny Capra 2021 · AA	25	42→48	38→45	50	43	203/255/281	78	261	5	13	24%	6%	51	-2.2	243/305/362	119	314	11	10	25%	7%	89	+0.5	250/319/362	111	318	10	9	23%	8%	91	+0.3
✕Tanner Kirwer 2021 · A	25	45	38→40	56→60	41	210/276/286	76	316	5	19	33%	7%	61	-1.5	210/289/309	99	299	11	33	31%	8%	72	-0.7	198/280/285	87	280	10	41	31%	8%	61	-0.8
✕Levi Jordan 2021 · A	25	41→51	37→45	47→50	41	198/247/270	72	266	5	8	27%	6%	46	-2.6	224/283/339	115	295	11	10	27%	6%	76	-0.4	242/308/360	118	302	11	15	22%	6%	87	+0.2
✕Corey Julks 2021 · AA	25	44→51	40→50	49→55	44	209/275/304	95	291	7	12	29%	8%	65	-1.2	226/283/374	148	293	17	17	28%	7%	84	+0.2	226/286/381	155	284	18	21	27%	7%	84	+0.1
✕Cade Gotta 2016 · A	24	41→51	41→45	53→55	43	199/259/302	103	276	7	15	30%	7%	58	-1.7	232/279/331	99	295	6	27	22%	6%	72	-0.7	244/303/339	95	309	5	36	21%	8%	81	-0.0
✕Daniel Lyons 2010 · A	25	44→48	40→45	51→50	50	209/293/306	97	268	7	15	23%	9%	73	-0.6	199/284/276	77	275	4	12	27%	9%	63	-1.4	176/273/228	52	251	2	11	27%	10%	47	-1.5
✕Tyler Saladino 2014 · AAA	25	44→47	39→45	55	48	210/281/298	88	271	7	23	24%	8%	66	-1.1	238/289/340	102	291	9	23	20%	6%	78	-0.3	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Tyler Reichenborn 2023 · A	25	41→43	40→45	47→50	45	199/275/284	85	276	8	13	29%	8%	61	-1.5	209/281/317	108	288	11	11	29%	8%	71	-0.8	172/253/309	136	226	17	8	31%	9%	57	-0.5
✕Matt Vierling 2021 · A	24	40→50	40→50	50	40	197/252/286	89	268	7	14	28%	5%	52	-2.2	241/298/355	114	302	11	14	23%	7%	85	+0.2	254/314/393	138	307	13	10	21%	7%	97	+1.0
✕Chris Roller 2022 · AA	25	40	39→45	53→55	40	192/251/280	87	274	5	16	31%	6%	50	-2.3	188/266/297	109	283	10	16	35%	8%	61	-1.5	173/257/288	115	272	12	16	38%	8%	54	-1.2
✕Niko Decolati 2023 · AA	25	44→46	40→45	54→55	43	211/279/301	90	305	8	21	32%	8%	66	-1.1	209/301/293	84	310	6	16	31%	9%	74	-0.6	200/314/273	73	296	5	18	30%	11%	72	-0.4
✕Hunter Jones 2016 · A	24	41→51	39→40	56→55	41	197/260/280	82	277	7	21	30%	6%	54	-2.0	220/275/311	91	288	6	17	25%	6%	66	-1.1	228/284/322	94	293	6	16	23%	6%	70	-0.7
✕Ryan LaMarre 2014 · AA	25	47→52	39→45	52→60	45	227/288/313	86	291	7	23	24%	6%	72	-0.7	219/273/317	98	296	9	17	28%	6%	67	-1.1	236/307/362	126	336	11	23	31%	7%	87	+0.2
✕Tyler Stubblefield 2013 · A	25	42	39→45	51→50	47	203/281/286	83	264	6	12	24%	8%	64	-1.3	217/272/323	106	265	8	9	21%	6%	68	-1.0	220/259/337	117	255	8	5	17%	5%	62	-0.6

Career Stats + Projections

Career Comps

Career Path Comps