Yorman Licourt — OGILVIE

Yorman LicourtRF Dunedin Blue Jays

Age 22 S/R 6'2" / 192 lbs A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION194 act + 22 ros · stats below = ROS only

showingROS

wRC+†48

AVG/OBP/SLG.150 / .227 / .200

PA22

HR0

K%45

BB%9

BABIP284

ISO50

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 40

Toolsscout grade

CONTACT25

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED35

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	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
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
2036	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	20	ROK	DSL Blue Jays	—	178	149	42	8	1	4	22	55	2	1	0	282	375	430	805	148	413	31	12	355	127	+6	+0	—	—	+4	1.0
2025	21	A	Dunedin Blue Jays	—	45	41	7	0	0	1	4	22	0	0	0	171	244	244	488	73	333	49	9	229	41	-3	+0	—	—	+1	-0.2
2025	21	ROK	FCL Blue Jays	—	225	187	43	15	2	6	35	67	2	0	4	230	357	428	785	198	322	30	16	351	124	+6	-2	—	—	+5	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	ROK MLE	DSL Blue Jays	—	178	161	30	5	1	3	13	81	2	1	0	186	256	286	541	99	332	46	7	240	49	-11	+0	—	—	+4	-0.7
2025	21	A MLE	Dunedin Blue Jays	—	45	42	3	0	0	0	3	32	0	0	0	71	133	71	205		299	71	7	116	-35	-7	+0	—	—	+1	-0.6
2025	21	ROK MLE	FCL Blue Jays	—	225	200	29	10	1	4	22	96	2	0	4	145	237	265	502	120	239	43	10	221	36	-17	-2	—	—	+5	-1.4
2024	20	ROK MLE	DSL Blue Jays	—	178	161	30	5	1	3	13	81	2	1	0	186	256	286	541	99	342	46	7	240	49	—	—	—	—	—	—
2024	20	ROK RAW	DSL Blue Jays	—	178	149	42	8	1	4	22	55	2	1	0	282	375	430	805	148	413	31	12	355	49	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	270	242	32	10	1	4	25	129	2	0	4	132	219	231	451	99	255	48	9	204	24	—	—	—	—	—	—
2025	21	ROK RAW	2 teams	—	270	228	50	15	2	7	39	89	2	0	4	219	338	395	733	175	323	33	14	331	24	—	—	—	—	—	—
2024	20	ROK MLE	DSL Blue Jays	—	178	161	30	5	1	3	13	81	2	1	0	186	256	286	541	99	332	46	7	240	49	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	270	241	32	10	1	4	25	129	2	0	4	133	219	232	452	100	249	48	9	204	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	ROK MLE	DSL Blue Jays	—	178	161	30	5	1	3	13	81	2	1	0	186	256	286	541	99	332	46	7	240	49	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	270	241	32	10	1	4	25	129	2	0	4	133	219	232	452	100	249	48	9	204	24	—	—	—	—	—	—
YTD	22	A MLE	TOR	—	194	168	19	4	1	5	23	122	2	2	2	113	228	238	466	125	333	63	12	208	27	-17	-0	+0	-2	+4	-1.5
▸ 2026 season
YTD	22	A RAW	TOR	—	194	160	31	7	1	8	31	86	2	2	2	194	332	400	732	206	343	44	16	330	27	—	—	—	—	—	—
ROS	22	A MLE	TOR	0%	22	20	3	1	0	0	2	10	0	0	0	150	227	200	427	50	282	45	9	240	48	-1	+0	+0	-0	+0	-0.1
TOT	22	A MLE	TOR	—	216	188	22	5	1	5	25	132	2	2	2	117	228	234	462	117	327	61	12	211	29	-18	-0	+0	-2	+5	-1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TOR	34%	307	271	45	10	1	6	30	130	3	4	2	166	257	277	533	111	284	42	10	249	55	-17	+0	+0	-3	+7	-1.4
2027	23	MLB CTX	TOR	34%	105	93	15	3	0	2	10	44	1	1	1	161	250	258	508	97	285	42	10	243	55	-6	-0	+0	-1	+2	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	105	93	15	3	0	2	10	44	1	1	1	161	250	258	508	97	271	42	10	243	42	-6	-0	+0	-1	+2	-0.5
/ 162G	—	A+C		—	650	576	93	19	0	12	62	272	6	6	6	161	250	257	507	95	272	42	10	243	42	-35	-1	+0	-7	+14	-3.0
Career	—	MLE		—	777	694	110	26	3	13	70	350	7	5	6	159	243	261	503	102	289	45	9	231	42	-18	+0	+0	-4	+7	-1.5
/ 162G	—	MLE		—	650	581	93	22	3	11	59	293	6	4	5	160	245	265	510	105	292	45	9	231	42	-35	+0	+0	-7	+14	-2.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam 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
#3Ryan 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
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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 1 projected seasons	0.5	363	7	5	176	258	284	-3	+0	-1.1	-0.6
/162	664	12	9	-6.2	+0.0	-2.1	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
Yorman Licourt (OGILVIE)	22	25	40	35	60	156/248/265	109	282	5	3	45%	10%	48	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yasel Antuna 2022 · A	22	39→35	45	42→50	43	197/258/322	125	267	13	5	30%	7%	63	-1.3	184/268/283	99	263	9	14	31%	10%	59	-1.7	162/259/248	85	232	9	18	31%	11%	47	-1.6
✕Andry Arias 2022 · A	22	38	42→40	44→40	39	190/256/295	105	287	10	7	36%	7%	57	-1.8	195/259/290	95	306	7	6	36%	7%	56	-1.9	160/231/251	91	256	7	3	38%	8%	34	-1.2
✕Frandy De La Rosa 2018 · A	22	40→43	41→40	40→50	38	197/249/292	95	288	8	9	34%	6%	53	-2.1	204/255/318	114	323	12	6	38%	6%	61	-1.5	182/231/297	115	288	16	0	41%	5%	42	-1.0
✕Shervyen Newton 2021 · A	22	38→32	41→45	43→40	34	178/235/274	96	316	9	4	44%	6%	43	-2.8	171/238/277	106	333	11	4	48%	7%	46	-2.6	154/225/270	117	285	13	2	48%	7%	38	-1.7
✕Connor Narron 2014 · A	22	37→36	40→45	41→30	42	185/245/272	87	251	8	3	29%	7%	47	-2.6	199/267/287	88	277	7	6	28%	8%	58	-1.7	162/246/224	63	219	4	2	26%	9%	34	-0.7
✕Wladimir Galindo 2019 · A	22	39→33	40→45	39→40	34	192/235/282	90	302	8	3	38%	5%	45	-2.7	196/243/281	85	314	7	6	38%	5%	47	-2.5	172/214/228	57	280	5	4	39%	5%	20	-1.4
✕Julio Garcia 2019 · A	22	40→36	37→40	40	32	192/222/265	73	293	5	4	36%	3%	35	-3.4	179/217/247	68	312	5	5	42%	4%	29	-3.8	92/127/108	16	197	0	0	51%	2%	-39	-2.4
✕Kay-Lan Nicasia 2023 · A	21	38	41→40	43→55	41	185/254/286	101	295	9	6	38%	8%	53	-2.1	169/246/269	100	306	9	18	44%	9%	47	-2.5	132/223/227	94	253	9	23	47%	9%	28	-1.5
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕Agustin Ruiz 2022 · AA	22	35	46→50	42→40	38	186/246/307	121	274	15	4	37%	6%	55	-1.9	185/256/320	135	261	16	4	34%	7%	63	-1.4	166/244/295	129	230	15	2	34%	7%	52	-1.3
✕Alvaro Gonzalez 2023 · A	22	37	38→30	41→40	40	175/261/255	80	292	6	4	39%	8%	51	-2.3	178/262/263	85	293	7	6	38%	8%	52	-2.2	118/211/171	53	191	3	5	36%	8%	11	-1.1
✕Caleb Hamilton 2018 · A	23	35	42→45	44→45	46	175/265/284	109	271	9	5	36%	10%	58	-1.7	184/252/283	99	266	8	7	31%	8%	52	-2.2	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Gabriel Garcia 2021 · A	23	35	43→45	43→45	42	176/263/286	110	274	11	6	37%	9%	58	-1.7	193/254/305	112	337	11	7	43%	7%	57	-1.8	151/210/251	100	277	11	3	47%	6%	29	-1.5
✕Jhon Torres 2022 · A	22	41→39	40→45	41→45	37	198/249/291	93	288	6	5	32%	5%	52	-2.2	206/258/308	102	309	9	6	34%	6%	59	-1.6	176/220/274	99	276	12	0	40%	5%	34	-0.7
✕Anthony Rodriguez 2017 · A	21	32	38→40	38→45	37	162/223/241	78	240	6	4	34%	6%	32	-3.7	184/278/257	73	287	5	6	34%	10%	57	-1.8	159/289/213	54	249	4	5	32%	12%	50	-1.0
✕Cody Morissette 2022 · A	22	41→30	39→45	43→55	44	195/263/281	86	285	6	5	32%	8%	55	-1.9	186/242/306	120	251	14	7	31%	6%	53	-2.1	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Jhailyn Ortiz 2021 · A	22	32→35	46→50	42→45	32	169/228/289	120	286	15	4	45%	6%	45	-2.7	192/258/331	139	294	18	6	39%	6%	66	-1.1	183/251/315	132	277	17	5	39%	7%	57	-1.3
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Daniel Berg 2007 · A	22	37	42→40	44→40	41	186/254/294	107	267	9	4	32%	7%	55	-1.9	194/262/277	83	296	6	4	34%	7%	55	-2.0	187/259/259	72	291	5	2	35%	7%	46	-1.3
✕Juan Valdes 2006 · A	21	39→38	41→40	44→50	39	194/249/286	92	285	9	10	34%	6%	51	-2.2	201/265/293	92	290	9	10	31%	8%	59	-1.7	186/263/260	74	270	7	11	31%	9%	48	-1.7

Career Stats + Projections

Career Comps

Career Path Comps