Junior Tilien — OGILVIE

Junior TilienSS West Michigan Whitecaps

Age 23 R/R 6'2" / 168 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION287 act + 10 ros · stats below = ROS only

showingROS

wRC+†47

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP253

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$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)
2021	18	ROK	FCL Mets	—	112	103	17	7	0	0	6	24	2	0	0	165	225	233	458	68	212	21	5	212	29	-9	+0	—	—	+2	-0.7
2022	19	A	St. Lucie Mets	—	353	323	80	13	1	12	30	81	0	3	0	248	312	406	717	158	296	23	8	320	103	+1	+1	—	—	+8	1.0
2023	20	A+	Brooklyn Cyclones	—	127	114	26	9	0	3	10	28	2	1	1	228	302	386	688	158	274	22	8	306	94	-1	-0	—	—	+3	0.2
2023	20	A	St. Lucie Mets	—	242	211	53	15	1	6	27	42	2	0	1	251	342	417	759	166	285	17	11	338	115	+4	-0	—	—	+5	0.9
2024	21	A+	Brooklyn Cyclones	—	440	393	91	17	2	6	40	85	2	4	1	232	306	331	637	99	277	19	9	288	81	-10	+0	—	—	+10	-0.0
2025	22	A	Lakeland Flying Tigers	—	181	160	43	9	1	1	18	34	1	1	0	269	346	356	703	88	331	19	10	318	101	+0	+0	—	—	+4	0.4
2025	22	ROK	FCL Tigers	—	40	37	8	4	0	1	3	10	0	0	0	216	275	405	680	189	269	25	8	301	90	-0	+0	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	FCL Mets	—	112	105	12	5	0	0	4	34	2	0	0	114	162	162	324	48	166	30	4	146	-15	-15	+0	—	—	+2	-1.3
2022	19	A MLE	St. Lucie Mets	—	353	332	63	11	1	10	21	120	0	3	0	190	238	319	557	130	258	34	6	239	48	-22	+1	—	—	+8	-1.4
2023	20	A+ MLE	Brooklyn Cyclones	—	127	117	20	6	0	2	7	37	2	1	1	171	230	274	504	103	232	29	6	231	42	-9	-0	—	—	+3	-0.6
2023	20	A MLE	St. Lucie Mets	—	242	217	42	13	1	4	21	63	2	0	1	194	271	318	589	124	242	26	9	256	59	-12	-0	—	—	+5	-0.7
2024	21	A+ MLE	Brooklyn Cyclones	—	440	406	74	13	2	4	27	115	2	4	1	182	237	254	490	71	236	26	6	218	34	-35	+0	—	—	+10	-2.5
2025	22	A MLE	Lakeland Flying Tigers	—	181	164	36	8	1	1	14	48	1	1	0	220	285	299	584	79	294	27	8	260	62	-8	+0	—	—	+4	-0.4
2025	22	ROK MLE	FCL Tigers	—	40	38	6	3	0	1	2	14	0	0	0	158	200	316	516	158	208	35	5	200	22	-4	+0	—	—	+1	-0.3
2021	18	ROK MLE	FCL Mets	—	112	105	12	5	0	0	4	34	2	0	0	114	162	162	324	48	167	30	4	146	-15	—	—	—	—	—	—
2021	18	ROK RAW	FCL Mets	—	112	103	17	7	0	0	6	24	2	0	0	165	225	233	458	68	212	21	5	212	-15	—	—	—	—	—	—
2022	19	A MLE	St. Lucie Mets	—	353	332	63	11	1	10	21	120	0	3	0	190	238	319	557	130	262	34	6	239	48	—	—	—	—	—	—
2022	19	A RAW	St. Lucie Mets	—	353	323	80	13	1	12	30	81	0	3	0	248	312	406	717	158	296	23	8	320	48	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	369	334	62	19	1	6	28	100	4	1	2	186	257	302	559	117	242	27	8	247	54	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	369	325	79	24	1	9	37	70	4	1	2	243	328	406	734	163	281	19	10	327	54	—	—	—	—	—	—
2024	21	A+ MLE	Brooklyn Cyclones	—	440	406	74	13	2	4	27	115	2	4	1	182	237	254	490	71	240	26	6	218	34	—	—	—	—	—	—
2024	21	A+ RAW	Brooklyn Cyclones	—	440	393	91	17	2	6	40	85	2	4	1	232	306	331	637	99	277	19	9	288	34	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	202	42	11	1	2	16	63	1	1	0	208	269	302	571	94	288	29	7	249	55	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	221	197	51	13	1	2	21	44	1	1	0	259	333	365	699	107	320	20	10	315	55	—	—	—	—	—	—
2021	18	ROK MLE	FCL Mets	—	112	105	12	5	0	0	4	34	2	0	0	114	162	162	324	48	166	30	4	146	-15	—	—	—	—	—	—
2022	19	A MLE	St. Lucie Mets	—	353	329	63	11	1	10	21	120	0	3	0	191	238	322	560	131	258	34	6	239	48	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	369	334	62	19	1	6	28	100	4	1	2	186	257	302	559	117	239	27	8	247	54	—	—	—	—	—	—
2024	21	A+ MLE	Brooklyn Cyclones	—	440	408	74	13	2	4	27	115	2	4	1	181	237	252	489	71	236	26	6	218	34	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	202	42	11	1	2	16	63	1	1	0	208	269	302	571	94	278	29	7	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	369	334	62	19	1	6	28	100	4	1	2	186	257	302	559	117	239	27	8	247	54	—	—	—	—	—	—
2024	21	A+ MLE	Brooklyn Cyclones	—	440	408	74	13	2	4	27	115	2	4	1	181	237	252	489	71	236	26	6	218	34	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	202	42	11	1	2	16	63	1	1	0	208	269	302	571	94	278	29	7	249	55	—	—	—	—	—	—
YTD	23	A+ MLE	DET	—	287	265	47	10	0	2	20	77	2	1	0	177	240	238	478	60	242	27	7	214	31	-24	+0	+0	+3	+6	-1.4
▸ 2026 season
YTD	23	ROK RAW	DET	—	28	22	6	0	0	0	5	4	1	0	0	273	429	273	701		333	14	18	345	31	—	—	—	—	—	—
YTD	23	A RAW	DET	—	67	58	14	3	0	1	9	10	0	1	0	241	343	345	688	103	277	15	13	317	31	—	—	—	—	—	—
YTD	23	A+ RAW	DET	—	192	174	34	9	0	1	17	42	1	0	0	195	271	264	535	69	252	22	9	250	31	—	—	—	—	—	—
ROS	23	A+ MLE	DET	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		257	30	10	237	47	-1	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	DET	—	297	274	48	10	0	2	21	80	2	1	0	175	239	234	473	58	240	27	7	215	32	-24	+0	+0	+3	+6	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	321	293	59	13	1	4	23	83	2	1	0	201	264	294	558	92	262	26	7	253	57	-16	+0	+0	+3	+7	-0.6
2028	25	MLB MLE	DET	44%	379	346	71	15	1	6	28	97	2	2	0	205	269	306	575	101	264	26	7	262	64	-16	+0	+0	+4	+8	-0.4
2029	26	MLB MLE	DET	51%	418	381	80	17	1	8	31	106	3	2	0	210	275	323	598	113	266	25	7	268	67	-16	+0	+0	+4	+9	-0.2
2030	27	MLB MLE	DET	52%	434	395	82	17	1	8	33	110	3	2	0	208	274	316	590	109	266	25	8	269	68	-16	+0	+0	+5	+9	-0.2
2031	28	MLB MLE	DET	53%	440	400	83	17	1	8	34	112	3	2	0	207	275	315	590	108	266	25	8	268	68	-17	+0	-1	+5	+10	-0.3
2027	24	MLB CTX	DET	30%	97	89	17	4	0	1	7	25	1	0	0	191	258	270	527	79	257	26	7	244	57	-5	+0	+0	+1	+2	-0.2
2028	25	MLB CTX	DET	44%	168	153	30	6	0	3	12	43	1	1	0	196	259	294	553	98	260	26	7	253	64	-7	+0	+0	+2	+4	-0.2
2029	26	MLB CTX	DET	51%	212	193	40	8	1	4	16	54	1	1	0	207	271	321	593	114	261	25	8	258	67	-8	+0	+0	+2	+5	-0.1
2030	27	MLB CTX	DET	52%	228	207	43	9	1	4	17	58	2	1	0	208	274	319	593	111	262	25	7	260	68	-9	+0	+0	+2	+5	-0.1
2031	28	MLB CTX	DET	53%	235	213	44	9	1	4	18	60	2	1	0	207	275	315	589	108	261	26	8	259	68	-9	+0	-0	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	940	855	174	36	3	16	70	240	7	4	0	204	269	309	578	105	262	26	7	256	55	-38	+1	-0	+10	+20	-0.7
/ 162G	—	A+C		—	650	591	120	25	2	11	48	166	5	3	0	203	269	308	577	105	261	26	7	256	55	-26	+1	-0	+7	+14	-0.5
Career	—	MLE		—	3497	3203	629	138	10	56	246	943	22	18	3	196	258	298	557	102	258	27	7	250	55	-83	+2	-1	+21	+43	-1.7
/ 162G	—	MLE		—	650	595	117	26	2	10	46	175	4	3	1	197	259	297	556	101	258	27	7	250	55	-27	+1	-0	+7	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam 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
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.4	941	16	4	208	271	315	+10	+6	-0.1	-0.0
/162	664	11	3	+7.1	+4.2	-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
Junior Tilien (OGILVIE)	23	45	25	40	40	190/250/263	74	257	2	1	27%	7%	47	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Overstreet 2017 · A	23	42→46	37→40	44→30	46	200/265/272	72	272	4	5	27%	8%	54	-2.0	233/281/332	99	285	9	3	21%	6%	74	-0.6	229/273/318	89	279	9	1	21%	5%	64	-0.8
✕J.J. Franco 2015 · A	23	49	37→30	39→45	44	234/290/302	68	299	5	6	23%	6%	70	-0.9	208/265/268	60	281	3	5	25%	7%	53	-2.1	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Yhoxian Medina 2013 · A	23	43→53	36→30	44→50	48	203/279/268	65	269	4	6	24%	8%	59	-1.7	236/291/298	62	301	2	9	21%	6%	69	-0.9	250/302/305	55	314	1	11	19%	6%	71	-0.5
✕Luis Cruz 2016 · A	23	45	38→40	45	40	216/265/292	76	284	5	4	25%	4%	58	-1.7	223/268/307	84	322	6	5	31%	5%	62	-1.4	236/274/313	77	357	6	2	34%	4%	63	-0.4
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Alfredo Rodriguez 2013 · A	23	46→51	35→30	40→50	46	216/280/278	63	275	2	7	22%	7%	61	-1.5	224/288/282	58	272	3	10	18%	7%	65	-1.2	227/293/274	48	270	3	12	16%	7%	62	-0.9
✕Corey Kemp 2009 · A	23	43→49	38→40	41→40	42	206/268/282	76	272	6	3	26%	6%	57	-1.8	223/287/308	85	296	5	4	24%	8%	70	-0.8	230/298/316	86	301	4	2	23%	8%	74	-0.4
✕Brett Tanos 2012 · A	23	44→48	39→40	43→45	47	208/281/300	91	281	6	5	27%	8%	67	-1.1	224/306/327	103	291	8	7	24%	10%	82	+0.0	227/321/330	103	287	8	8	22%	11%	86	+0.3
✕James Roberts 2015 · A	23	47→48	37→30	37→40	41	226/280/286	61	294	6	3	24%	5%	63	-1.4	221/273/288	67	281	5	7	22%	5%	60	-1.6	216/267/274	58	271	4	8	21%	5%	53	-0.9
✕Shawn Roof 2008 · A	23	44	35→30	45→50	43	204/266/259	55	283	2	9	27%	6%	51	-2.2	226/286/279	53	297	2	10	23%	6%	63	-1.4	245/294/293	48	320	1	17	22%	5%	65	-0.5
✕Zack MacPhee 2013 · A	23	43	37→30	41→45	46	206/269/281	75	269	5	5	24%	8%	57	-1.8	204/273/278	74	269	5	7	24%	8%	58	-1.7	186/265/241	54	245	3	5	23%	9%	45	-1.7
✕Kyle Knudson 2011 · A	23	43	37→30	44→30	36	207/250/280	73	299	5	4	31%	4%	49	-2.4	214/272/278	64	304	4	2	29%	6%	57	-1.8	222/291/277	55	303	3	0	26%	7%	62	-0.5
✕Eduardo Torrealba 2021 · A	22	44	36→30	43→50	40	207/261/272	66	287	4	6	28%	5%	52	-2.2	220/275/296	76	272	6	14	20%	6%	63	-1.4	213/271/276	62	260	5	17	19%	6%	54	-0.9
✕Ricardo Valenzuela 2014 · A	23	44	36→30	40→50	46	205/260/269	64	252	3	4	19%	6%	51	-2.3	200/254/269	69	255	4	4	22%	6%	49	-2.4	224/272/272	48	261	5	0	16%	6%	54	-0.7
✕Stephen Wickens 2012 · A	23	45→46	36→40	40→55	49	207/280/282	75	258	2	5	20%	8%	62	-1.4	227/301/304	77	281	3	12	19%	8%	75	-0.5	225/297/296	70	278	3	15	19%	7%	70	-0.4
✕Victor Moscote 2016 · A	22	43	34→30	43→45	43	201/255/254	54	266	2	4	24%	6%	45	-2.7	204/261/269	65	280	3	4	26%	6%	51	-2.2	216/283/267	51	281	3	2	22%	6%	56	-0.5
✕Matt Kennelly 2012 · AA	23	44	39→40	36→40	43	215/267/294	79	283	7	3	26%	6%	59	-1.6	222/275/298	76	275	4	6	20%	6%	63	-1.4	218/274/265	48	268	1	2	18%	6%	52	-1.0
✕Edgar Cabral 2019 · A	23	44	39→40	45→30	43	213/268/297	84	280	7	3	26%	6%	61	-1.5	208/267/313	105	298	10	5	31%	7%	64	-1.3	189/269/255	66	327	0	0	38%	9%	50	-0.4
✕Imeldo Diaz 2021 · A	23	49	39→40	40→45	39	236/271/328	92	301	6	6	23%	4%	68	-1.0	218/256/296	78	306	6	7	30%	4%	55	-1.9	205/226/233	27	293	3	3	30%	2%	26	-1.0
✕Jonathan Morales 2018 · AA	23	44→48	38→40	40→30	42	212/248/284	72	252	6	3	19%	4%	49	-2.4	213/258/281	68	261	5	3	19%	5%	53	-2.1	205/256/301	96	241	12	1	20%	6%	55	-1.0

Career Stats + Projections

Career Comps

Career Path Comps