JoJo Parker — OGILVIE

JoJo ParkerSS Dunedin Blue Jays

Age 19 L/R 6'2" / 200 lbs A Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION496 act + 9 ros · stats below = ROS only

showingROS

wRC+†101

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP314

ISO161

MLB%4%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$122M ctrl surplus

Tools · ContractCON 57 / POW 54

Toolsscout grade

CONTACT57

scouting grade only

POWER54

scouting grade only

EYE49

scouting grade only

SPEED48

scouting grade only

DEFENSE48

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+2.6	$17M	+$16M
2030	Pre-Arb	$0.9M	+2.9	$19M	+$18M
2031	Pre-Arb	$0.9M	+3.1	$20M	+$19M
2032	Arb-1	$9M	+3.2	$19M	+$15M
2033	Arb-2	$15M	+3.2	$18M	+$11M
2034	Arb-3	$21M	+3.1	$16M	+$6M
Totals		$47M		$108M	+$85M

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	19	A MLE	TOR	—	496	428	93	26	3	10	56	166	9	28	5	217	320	362	683	145	325	33	11	307	94	-3	+4	+0	+5	+11	1.7
▸ 2026 season
YTD	19	A RAW	TOR	—	399	325	84	24	3	13	63	99	8	22	4	258	391	471	862	212	329	25	16	382	94	—	—	—	—	—	—
YTD	19	A+ RAW	TOR	—	97	79	25	6	1	0	17	18	1	6	1	316	443	418	861	101	410	19	18	394	94	—	—	—	—	—	—
ROS	19	A MLE	TOR	4%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		312	33	11	318	101	+0	+0	-0	+0	+0	0.0
TOT	19	A MLE	TOR	—	505	436	94	26	3	10	57	169	9	28	5	216	319	358	677	142	323	33	11	308	94	-3	+4	-0	+5	+11	1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	TOR	53%	536	465	109	26	3	14	57	154	9	15	3	234	330	394	723	159	315	29	11	325	106	+4	+2	-2	+6	+12	2.2
2028	21	MLB MLE	TOR	73%	579	502	120	28	3	17	62	161	10	16	3	239	334	408	743	169	314	28	11	333	111	+8	+2	-2	+6	+13	2.7
2029	22	MLB MLE	TOR	81%	615	534	131	29	4	20	66	167	10	17	3	245	339	427	766	182	314	27	11	339	115	+11	+2	-2	+7	+13	3.2
2030	23	MLB MLE	TOR	85%	627	545	135	30	4	21	67	167	10	17	3	248	341	433	774	185	314	27	11	343	118	+14	+2	-2	+7	+14	3.5
2031	24	MLB MLE	TOR	85%	634	551	138	31	4	22	68	168	10	17	3	250	343	441	784	191	314	26	11	346	120	+15	+2	-2	+7	+14	3.7
2032	25	MLB MLE	TOR	84%	639	554	139	31	4	23	69	169	11	17	3	251	345	446	791	195	314	26	11	348	121	+16	+2	-2	+7	+14	3.8
2033	26	MLB MLE	TOR	84%	642	556	140	31	4	23	70	169	11	18	3	252	347	446	793	194	314	26	11	348	122	+17	+2	-2	+7	+14	3.9
2034	27	MLB MLE	TOR	83%	639	553	139	31	4	23	70	169	11	17	3	251	347	447	794	195	314	26	11	349	122	+17	+2	-2	+7	+14	3.8
2035	28	MLB MLE	TOR	82%	633	548	136	30	4	22	70	168	10	16	3	248	344	438	782	190	314	27	11	348	121	+16	+2	-3	+7	+14	3.7
2036	29	MLB MLE	TOR	80%	621	537	132	29	3	22	69	166	10	15	3	246	343	434	776	188	314	27	11	346	120	+15	+2	-4	+7	+13	3.4
2037	30	MLB MLE	TOR	78%	610	527	129	29	3	21	68	165	10	13	3	245	342	431	773	186	313	27	11	343	119	+13	+1	-4	+7	+13	3.1
2038	31	MLB MLE	TOR	77%	595	514	125	28	3	20	66	163	10	11	2	243	341	426	767	183	311	27	11	340	116	+11	+1	-5	+6	+13	2.8
2039	32	MLB MLE	TOR	77%	577	499	119	26	3	19	64	160	9	9	2	238	336	417	752	178	307	28	11	334	112	+8	+1	-5	+6	+13	2.3
2040	33	MLB MLE	TOR	77%	547	473	111	24	3	17	60	155	9	7	1	235	332	406	738	171	303	28	11	327	107	+5	+1	-6	+6	+12	1.8
2041	34	MLB MLE	TOR	72%	499	433	97	20	2	15	55	144	8	4	1	224	323	383	706	159	297	29	11	318	101	+1	+0	-7	+5	+11	1.1
2042	35	MLB MLE	TOR	68%	443	385	82	16	2	12	48	131	7	3	1	213	311	358	670	145	289	30	11	307	94	-3	+0	-7	+5	+10	0.4
2043	36	MLB MLE	TOR	59%	382	332	69	13	2	10	41	116	6	1	0	208	306	349	655	142	282	30	11	296	87	-6	+0	-8	+4	+8	-0.1
2027	20	MLB CTX	TOR	53%	285	248	59	14	2	8	30	82	5	8	2	238	332	407	739	169	316	29	11	314	106	+2	+1	-1	+3	+6	1.1
2028	21	MLB CTX	TOR	73%	424	369	89	20	3	13	45	118	7	12	2	241	335	417	752	176	315	28	11	322	111	+6	+2	-1	+5	+9	2.0
2029	22	MLB CTX	TOR	81%	501	435	107	24	3	16	53	136	8	14	3	246	339	425	764	179	315	27	11	328	115	+9	+2	-2	+5	+11	2.6
2030	23	MLB CTX	TOR	85%	532	461	115	26	3	18	57	142	9	15	3	249	343	436	779	187	315	27	11	332	118	+11	+2	-2	+6	+12	2.9
2031	24	MLB CTX	TOR	85%	536	464	117	26	3	19	58	142	9	15	3	252	347	444	790	192	316	26	11	335	120	+13	+2	-2	+6	+12	3.1
2032	25	MLB CTX	TOR	84%	540	468	117	26	3	19	58	143	9	15	3	250	344	440	784	190	316	26	11	337	121	+14	+2	-2	+6	+12	3.2
2033	26	MLB CTX	TOR	84%	542	469	117	26	3	19	59	143	9	15	3	249	345	439	784	190	316	26	11	337	122	+14	+2	-2	+6	+12	3.2
2034	27	MLB CTX	TOR	83%	529	457	114	25	3	19	58	140	9	14	3	249	345	442	787	193	316	26	11	337	122	+14	+2	-2	+6	+11	3.1
2035	28	MLB CTX	TOR	82%	518	447	112	25	3	18	57	138	9	13	3	251	347	441	788	190	316	27	11	337	121	+13	+1	-2	+6	+11	3.0
2036	29	MLB CTX	TOR	80%	494	428	105	23	3	17	55	132	8	12	2	245	342	432	774	187	315	27	11	335	120	+12	+2	-3	+5	+11	2.7
2037	30	MLB CTX	TOR	78%	477	413	101	22	3	16	53	129	8	10	2	245	342	429	770	184	314	27	11	332	119	+11	+1	-3	+5	+10	2.4
2038	31	MLB CTX	TOR	77%	461	400	97	21	2	16	51	126	7	9	2	242	338	425	763	182	312	27	11	329	116	+9	+1	-4	+5	+10	2.1
2039	32	MLB CTX	TOR	77%	444	385	91	20	2	14	49	123	7	7	1	236	333	408	741	171	309	28	11	323	112	+6	+1	-4	+5	+10	1.8
2040	33	MLB CTX	TOR	77%	420	364	84	18	2	13	46	119	7	5	1	231	329	398	727	168	304	28	11	316	107	+4	+1	-5	+4	+9	1.4
2041	34	MLB CTX	TOR	72%	360	313	70	14	2	11	39	104	5	3	1	224	319	387	706	163	298	29	11	308	101	+1	+0	-5	+4	+8	0.8
2042	35	MLB CTX	TOR	68%	300	260	56	11	1	8	33	89	4	2	0	215	313	358	671	142	291	30	11	297	94	-2	+0	-5	+3	+6	0.3
2043	36	MLB CTX	TOR	59%	224	195	41	8	1	6	24	68	3	1	0	210	306	354	660	144	284	30	11	286	87	-4	+0	-4	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7587	6576	1592	349	42	250	825	2074	123	170	34	242	338	422	760	180	313	27	11	327	114	+133	+20	-48	+81	+164	35.8
/ 162G	—	A+C		—	650	563	136	30	4	21	71	178	11	15	3	242	338	421	759	179	313	27	11	327	114	+11	+2	-4	+7	+14	3.1
Career	—	MLE		—	9827	8516	2052	452	55	321	1071	2695	161	213	40	241	337	420	757	179	312	27	11	337	114	+163	+27	-65	+105	+213	45.2
/ 162G	—	MLE		—	650	563	136	30	4	21	71	178	11	14	3	242	338	421	759	179	313	27	11	337	114	+11	+2	-4	+7	+14	3.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ian Kinslerlast yr '19 career totals — 14 seasons, 8,299 PA	12.5	8,299	257	243	269	337	440	+30	+66	53.0	44.4
/162	664	21	19	+2.4	+5.3	4.2	pk7: 36
#2Jhonny Peraltalast yr '17 career totals — 14 seasons, 7,291 PA	11.0	7,291	202	17	267	329	423	+66	+63	42.9	37.5
/162	664	18	2	+6.1	+5.8	3.9	pk7: 32
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	11.4	7,599	252	169	243	335	424	+75	-9	44.3	34.7
/162	664	22	15	+6.6	-0.8	3.9	pk7: 25
#3Kyle Seagerlast yr '21 career totals — 11 seasons, 6,204 PA	9.3	6,204	242	55	251	321	442	+22	+55	35.4	32.4
/162	664	26	6	+2.4	+5.8	3.8	pk7: 29
#4Asdrúbal Cabreralast yr '21 career totals — 15 seasons, 7,401 PA	11.1	7,401	195	91	266	329	423	+58	+11	38.2	32.2
/162	664	17	8	+5.2	+1.0	3.4	pk7: 26
#5Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#6Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28

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
JoJo Parker (OGILVIE)	19	41→57	43→54	47→48	49	227/322/379	153	312	8	13	29%	11%	101	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Edgar Quero 2023 · A	20	48→57	51→50	47→40	51	240/336/412	172	309	18	8	27%	10%	114	+2.3	241/321/361	120	299	12	3	22%	9%	96	+1.0	245/321/344	99	301	10	1	21%	9%	90	+0.4
★Corey Seager 2014 · A	20	45→55	50→65	50→45	43	233/287/390	157	292	18	9	27%	7%	90	+0.6	269/317/451	182	329	19	6	23%	6%	114	+2.4	287/349/471	183	334	20	4	19%	8%	128	+3.6
✕Luis Torres 2023 · A	19	51	50→60	45→50	41	254/302/415	161	312	16	9	24%	5%	101	+1.4	215/280/315	100	345	8	5	37%	7%	70	-0.9	183/261/256	73	332	4	0	42%	8%	46	-0.6
✕Jaff Decker 2010 · A	20	51→49	48→55	47→55	56	244/344/393	149	323	15	9	27%	12%	112	+2.2	216/303/380	164	284	19	9	29%	10%	94	+0.9	196/285/358	162	250	20	10	29%	10%	81	-0.0
●Bo Bichette 2017 · A	19	50→60	47→60	53→55	40	246/288/387	141	326	13	8	28%	6%	88	+0.5	264/309/413	149	329	13	17	23%	6%	103	+1.5	296/337/473	177	345	22	13	20%	5%	126	+3.5
✕Randy Florentino 2019 · A	19	46	45→50	45	51	220/308/355	135	308	10	8	30%	11%	89	+0.5	191/267/284	93	292	7	5	34%	9%	57	-1.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Cole Young 2023 · A	20	50→51	46→45	49→50	47	248/302/374	126	296	14	11	21%	7%	91	+0.7	233/316/354	121	279	10	13	19%	9%	92	+0.7	238/315/361	123	274	12	9	17%	8%	91	+0.6
✕Adael Amador 2023 · A	20	51→54	46→50	46→55	55	252/334/383	131	290	14	14	18%	10%	105	+1.7	229/302/359	130	266	15	21	19%	9%	88	+0.4	216/294/338	122	249	13	22	19%	9%	78	-0.2
●Jason Heyward 2010 · AA	20	54→60	49→60	53→50	48	268/319/425	157	307	16	9	18%	7%	109	+2.0	263/350/445	182	311	20	12	21%	11%	125	+3.2	262/354/456	194	309	22	14	22%	12%	126	+3.1
✕Heriberto Hernández 2019 · A	19	43→48	54→60	46→50	55	223/325/414	191	274	20	7	26%	12%	109	+2.0	222/302/389	167	323	18	6	34%	9%	95	+1.0	219/301/418	199	277	26	10	30%	9%	100	+1.0
●Wander Franco 2019 · A	18	51→57	49→55	49→55	50	256/306/410	154	268	17	5	12%	6%	101	+1.4	263/317/398	135	286	11	9	12%	7%	102	+1.5	278/337/452	174	298	16	20	12%	8%	118	+2.0
●Gary Sánchez 2011 · A	18	49→50	47→65	46→45	39	241/294/380	139	328	14	5	30%	6%	90	+0.6	221/270/362	141	305	16	6	32%	6%	77	-0.3	240/315/462	222	266	31	4	23%	8%	115	+1.9
●Jackson Holliday 2023 · A	19	50→60	41→50	49→50	58	237/329/342	104	299	8	10	22%	12%	94	+0.9	248/333/382	134	332	12	14	26%	11%	104	+1.6	244/329/380	136	317	13	15	25%	11%	100	+1.3
●Colby Rasmus 2008 · AA	21	44→54	52→65	53→50	46	227/294/399	172	274	19	15	25%	8%	95	+0.9	235/303/397	162	282	19	12	23%	8%	97	+1.1	243/311/468	224	317	29	3	32%	8%	115	+1.8
●Luis Robert Jr. 2018 · A	20	47→57	44→65	53→60	47	224/318/346	122	316	10	16	30%	9%	92	+0.7	229/285/369	140	326	14	22	32%	5%	84	+0.1	282/328/497	215	335	28	17	24%	5%	126	+2.4
●Evan Carter 2022 · A	19	46→53	42→50	52→55	55	216/324/330	114	293	8	18	27%	12%	91	+0.6	237/321/380	143	308	13	20	25%	10%	100	+1.3	237/324/389	152	306	14	21	25%	10%	100	+0.9
✕Colt Keith 2023 · A	21	48→54	47→55	53→45	45	235/299/375	141	327	14	8	31%	8%	90	+0.6	251/308/406	155	312	17	5	24%	7%	101	+1.4	256/316/410	154	310	18	4	23%	8%	102	+1.3
✕Addison Russell 2014 · A	20	47→53	49→55	58→50	45	233/304/395	162	313	15	16	29%	8%	97	+1.1	240/303/397	157	305	17	9	26%	7%	97	+1.1	239/310/406	168	295	19	5	25%	8%	97	+0.9
●Angel Salome 2006 · A	20	52→62	49→50	49→45	44	261/296/412	152	290	16	7	17%	5%	98	+1.2	269/305/404	135	313	12	5	18%	5%	99	+1.2	290/326/429	140	336	12	4	17%	5%	112	+1.4
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8

Career Stats + Projections

Career Comps

Career Path Comps