Jay Harry — OGILVIE

Jay Harry2B Buffalo Bisons

Age 24 L/R 5'11" / 195 lbs AAA Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION393 act + 9 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG—

PA1

HR0

K%22

BB%5

BABIP277

ISO101

MLB%10%

Value2026 · WAR

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

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

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE40

scouting grade only

SPEED45

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
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Arb-1	$0.2M	—	—	—
2032	Arb-2	$0.4M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	21	A	Fort Myers Mighty Mussels	—	117	101	34	8	1	1	11	8	4	4	1	337	422	465	888	129	355	7	9	396	154	+8	+0	—	—	+3	1.1
2024	22	A+	Vancouver Canadians	—	448	395	84	23	1	12	36	97	12	5	5	213	298	367	665	154	247	22	8	298	88	-6	-1	—	—	+10	0.2
2025	23	AA	New Hampshire Fisher Cats	—	141	124	19	3	0	2	15	33	2	4	0	153	255	226	481	73	191	23	11	231	43	-10	+1	—	—	+3	-0.6
2025	23	A+	Vancouver Canadians	—	225	202	46	9	1	3	21	42	1	5	3	228	304	327	630	99	272	19	9	287	81	-5	-0	—	—	+5	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	Fort Myers Mighty Mussels	—	117	104	32	7	1	1	8	12	4	4	1	308	379	423	802	115	326	10	7	345	120	+3	+0	—	—	+3	0.6
2024	22	A+ MLE	Vancouver Canadians	—	448	408	65	15	1	9	23	138	12	5	5	159	226	267	493	108	203	31	5	214	31	-37	-1	—	—	+10	-2.9
2025	23	AA MLE	New Hampshire Fisher Cats	—	141	129	16	2	0	2	10	42	2	4	0	124	199	186	385	62	169	30	7	179	7	-16	+1	—	—	+3	-1.2
2025	23	A+ MLE	Vancouver Canadians	—	225	210	36	7	1	3	13	61	1	5	3	171	223	257	480	86	223	27	6	210	28	-19	-0	—	—	+5	-1.5
2023	21	A MLE	Fort Myers Mighty Mussels	—	117	104	32	7	1	1	8	12	4	4	1	308	379	423	802	115	337	10	7	345	120	—	—	—	—	—	—
2023	21	A RAW	Fort Myers Mighty Mussels	—	117	101	34	8	1	1	11	8	4	4	1	337	422	465	888	129	355	7	9	396	120	—	—	—	—	—	—
2024	22	A+ MLE	Vancouver Canadians	—	448	408	65	15	1	9	23	138	12	5	5	159	226	267	493	108	211	31	5	214	31	—	—	—	—	—	—
2024	22	A+ RAW	Vancouver Canadians	—	448	395	84	23	1	12	36	97	12	5	5	213	298	367	665	154	247	22	8	298	31	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	366	339	52	9	1	4	23	103	3	9	3	153	214	221	435	68	206	28	6	198	20	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	366	326	65	12	1	5	36	75	3	9	3	199	285	288	573	89	243	20	10	266	20	—	—	—	—	—	—
2023	21	A MLE	Fort Myers Mighty Mussels	—	117	104	32	7	1	1	8	12	4	4	1	308	379	423	802	115	326	10	7	345	120	—	—	—	—	—	—
2024	22	A+ MLE	Vancouver Canadians	—	448	410	65	15	1	9	23	138	12	5	5	159	226	266	492	107	203	31	5	214	31	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	366	337	52	9	1	4	23	103	3	9	3	154	214	223	436	68	202	28	6	198	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Fort Myers Mighty Mussels	—	117	104	32	7	1	1	8	12	4	4	1	308	379	423	802	115	326	10	7	345	120	—	—	—	—	—	—
2024	22	A+ MLE	Vancouver Canadians	—	448	410	65	15	1	9	23	138	12	5	5	159	226	266	492	107	203	31	5	214	31	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	366	337	52	9	1	4	23	103	3	9	3	154	214	223	436	68	202	28	6	198	20	—	—	—	—	—	—
YTD	24	AAA MLE	TOR	—	393	370	95	22	4	10	11	92	8	1	1	257	293	419	712	162	314	23	3	306	93	-3	-0	+0	+1	+9	0.7
▸ 2026 season
YTD	24	AA RAW	TOR	—	179	169	55	11	4	8	7	42	1	1	1	325	356	580	936	254	392	23	4	401	93	—	—	—	—	—	—
YTD	24	AAA RAW	TOR	—	214	195	55	16	0	6	10	34	7	0	0	282	340	456	796	174	312	16	5	351	93	—	—	—	—	—	—
ROS	24	AAA MLE	TOR	10%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		275	22	0	273	71	-0	+0	+0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	24	MLB CTX	TOR	10%	1	1	0	0	0	0	0	0	0	0	0						277	0	0	262	71	-0	+0	+0	+0	+0	-0.0
FULL	24	MLB A+C	TOR	—	1	1	0	0	0	0	0	0	0	0	0							0	0	262	93	-0	+0	+0	+0	+0	0.0
TOT	24	AAA MLE	TOR	—	402	379	96	22	4	10	11	94	8	1	1	253	289	412	701	158	309	23	3	305	93	-3	-0	+0	+1	+9	0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TOR	35%	369	344	76	17	2	8	16	91	6	3	1	221	268	352	620	131	275	25	4	276	73	-12	+0	+0	+1	+8	-0.2
2028	26	MLB MLE	TOR	46%	406	378	83	18	2	9	19	100	6	3	1	220	268	349	617	130	276	25	5	281	76	-11	+0	+0	+1	+9	-0.1
2029	27	MLB MLE	TOR	50%	419	388	87	19	2	10	21	103	7	3	2	224	276	361	637	137	277	25	5	283	78	-11	-0	+0	+1	+9	-0.1
2030	28	MLB MLE	TOR	52%	424	392	88	19	2	10	22	104	7	3	1	224	278	360	638	135	277	25	5	283	78	-11	+0	-1	+2	+9	-0.1
2031	29	MLB MLE	TOR	52%	420	389	86	18	2	10	22	104	6	3	1	221	273	355	628	134	276	25	5	281	76	-12	+0	-1	+1	+9	-0.2
2032	30	MLB MLE	TOR	52%	414	383	84	18	2	9	22	104	6	2	1	219	273	347	620	128	275	25	5	278	75	-13	+0	-2	+1	+9	-0.4
2027	25	MLB CTX	TOR	35%	128	119	27	6	1	3	6	32	2	1	0	227	276	370	645	143	277	25	5	265	73	-4	+0	+0	+0	+3	-0.1
2028	26	MLB CTX	TOR	46%	188	174	38	8	1	4	9	46	3	1	1	218	269	345	614	126	278	24	5	270	76	-5	-0	+0	+1	+4	-0.1
2029	27	MLB CTX	TOR	50%	210	194	43	9	1	5	11	51	3	2	1	222	274	356	630	134	278	24	5	273	78	-6	+0	+0	+1	+5	-0.0
2030	28	MLB CTX	TOR	52%	221	204	46	10	1	5	12	54	3	2	1	225	279	358	636	132	278	24	5	273	78	-6	+0	-0	+1	+5	-0.1
2031	29	MLB CTX	TOR	52%	218	201	45	10	1	5	12	54	3	1	1	224	278	358	636	134	277	25	6	271	76	-6	-0	-1	+1	+5	-0.2
2032	30	MLB CTX	TOR	52%	214	198	44	9	1	5	11	54	3	1	1	222	274	354	627	131	276	25	5	268	75	-6	-0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1180	1091	243	52	6	27	61	291	17	8	5	223	275	356	630	133	277	25	5	270	66	-33	-0	-2	+4	+26	-0.6
/ 162G	—	A+C		—	650	601	134	29	3	15	34	160	9	4	3	223	275	356	631	133	277	25	5	270	66	-18	-0	-1	+2	+14	-0.4
Career	—	MLE		—	3392	3134	654	140	15	70	176	861	57	35	16	209	263	330	593	121	263	25	5	265	66	-70	+1	-4	+9	+53	-1.2
/ 162G	—	MLE		—	650	601	125	27	3	13	34	165	11	7	3	208	264	328	591	120	262	25	5	265	66	-19	+0	-1	+2	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,211	27	8	223	271	356	+4	+3	0.2	0.2
/162	664	15	5	+2.4	+1.6	0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Jay Harry (OGILVIE)	24	40	30	45	40	218/263/347	129	275	7	2	25%	4%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rodrigo Aguirre 2008 · AAA	24	43	39→30	44→45	43	208/251/294	86	255	7	10	22%	5%	53	-2.1	251/298/358	107	284	9	6	14%	6%	85	+0.2	268/315/346	78	300	3	2	11%	6%	85	+0.1
✕Anthony Bemboom 2014 · AA	24	40	40	45	42	198/246/283	85	246	9	4	24%	5%	49	-2.4	209/251/300	91	260	9	5	23%	5%	55	-2.0	201/272/306	105	260	10	2	26%	8%	63	-0.5
✕Tanner Allen 2022 · A	24	40	42→45	44→45	43	200/253/300	100	251	9	7	24%	6%	56	-1.9	203/258/301	98	251	9	7	22%	6%	58	-1.7	200/259/296	96	246	9	7	22%	6%	54	-1.0
✕Francisco Arcia 2014 · AA	24	41	41→40	45→40	42	205/259/300	95	262	9	5	25%	6%	58	-1.7	223/271/294	71	284	5	4	22%	5%	60	-1.6	209/264/283	74	269	7	3	24%	4%	53	-0.9
✕Bryant Flete 2017 · AA	24	42→46	39→40	47→50	44	202/258/288	86	263	6	6	25%	6%	55	-2.0	215/271/295	80	289	6	6	26%	6%	61	-1.5	214/275/284	70	292	5	4	27%	6%	58	-0.9
✕Noe Becerra 2011 · AAA	24	45	41→30	45→40	47	217/275/309	92	267	9	9	22%	7%	66	-1.1	237/288/319	82	273	6	6	15%	6%	73	-0.6	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Michael Pérez 2017 · AA	24	39	40→50	43→40	43	191/247/282	91	257	7	4	28%	7%	49	-2.4	220/274/328	108	287	10	3	25%	7%	70	-0.9	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Matt Wallach 2010 · A	24	41	42→45	46→40	42	204/258/306	103	265	9	3	26%	6%	59	-1.7	217/282/330	113	259	11	4	20%	7%	74	-0.6	215/288/326	111	247	13	3	18%	7%	76	-0.2
✕Ty Moore 2017 · A	24	42→50	38→40	45	44	203/252/285	82	248	5	7	20%	6%	51	-2.2	231/285/326	95	289	8	8	22%	6%	74	-0.6	238/294/328	89	296	8	8	21%	6%	76	-0.4
✕Cornelius Randolph 2021 · AA	24	44→47	41→40	46→45	43	212/270/309	97	291	9	9	29%	7%	64	-1.3	205/266/314	109	333	11	12	38%	7%	64	-1.3	189/255/292	102	294	12	15	37%	8%	53	-0.6
✕Andrew Ely 2016 · AAA	23	38→44	42→30	42→40	39	194/231/291	98	244	10	4	25%	4%	45	-2.7	205/266/278	73	277	5	5	26%	7%	55	-1.9	198/270/262	64	269	3	3	25%	8%	53	-1.2
✕Cole Sturgeon 2016 · AA	24	46→49	38→40	47→50	40	222/255/300	78	276	5	10	22%	4%	55	-1.9	227/264/311	84	283	6	10	21%	4%	61	-1.5	232/277/324	93	301	8	12	25%	5%	67	-0.7
✕LJ Talley 2021 · A	24	38→46	43→45	50	42	195/250/305	110	253	12	6	28%	6%	56	-1.9	217/275/327	110	276	11	9	24%	7%	70	-0.8	213/276/318	105	268	11	10	24%	7%	66	-0.7
✕Manuel Bobadilla 2008 · AAA	24	43	40	44→45	46	210/271/296	86	261	8	7	22%	7%	62	-1.4	229/301/336	107	288	11	6	23%	8%	82	+0.0	234/307/331	97	291	9	4	21%	8%	81	-0.0
✕Jake Thomas 2017 · A	24	43	37→30	48→50	45	201/269/273	72	281	4	7	28%	8%	55	-1.9	213/302/287	74	322	3	9	31%	11%	72	-0.7	209/322/267	58	327	1	10	31%	14%	73	-0.4
✕Norberto Obeso 2019 · A	24	44→42	37→30	47→45	50	209/274/276	67	253	4	8	19%	8%	58	-1.7	209/270/286	77	278	4	8	24%	7%	58	-1.7	201/264/269	68	275	1	5	25%	8%	50	-1.2
✕César Salazar 2021 · A	25	44→41	41→45	46→45	42	214/267/309	95	266	8	8	23%	5%	63	-1.3	209/278/339	130	256	15	8	24%	6%	75	-0.5	203/308/311	108	241	12	6	20%	9%	79	-0.1
✕Alika Williams 2023 · AAA	24	43→44	41→45	43→45	44	212/271/307	95	272	9	7	25%	7%	64	-1.3	223/279/323	100	286	9	7	24%	6%	70	-0.8	238/286/342	104	298	8	5	22%	5%	74	-0.3
✕Derek Gibson 2015 · A	24	46	39→30	47→40	48	220/279/310	90	263	6	6	18%	7%	68	-1.0	233/282/305	72	286	3	5	18%	5%	67	-1.1	262/302/315	54	312	0	2	15%	4%	74	-0.2
✕Mitchell Kranson 2018 · A	24	43	40	42→30	42	210/252/297	87	256	8	2	22%	5%	54	-2.0	212/262/302	90	256	8	3	20%	6%	59	-1.7	204/257/286	82	239	8	0	18%	6%	52	-0.8

Career Stats + Projections

Career Comps

Career Path Comps