Klendy Leen — OGILVIE

Klendy LeenC DSL Rangers Blue

Age 19 R/R 5'11" / 190 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033

wRC+†54

AVG/OBP/SLG.198 / .266 / .291

PA55

HR1

K%32

BB%8

MLB%0%

trajectory · 10 yrs

2.9peak

2032

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	Ext / FA-deal	$0.9M	+2.9	$28M	+$27M
2033	Ext / FA-deal	$1.0M	+3.0	$30M	+$29M
2034	Ext / FA-deal	$1.0M	+2.9	$29M	+$28M
2035	Ext / FA-deal	$6M	+2.8	$29M	+$24M
2036	Ext / FA-deal	$9M	+2.7	$29M	+$20M
2037	Ext / FA-deal	$11M	+2.4	$27M	+$15M
Totals		$29M		$171M	+$143M

Career Projections (MLE)

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	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
2024	17	ROK	DSL Rangers Blue	111	88	7	0	0	1	19	60	3	3	0	.080	.264	.114	.377	.034	.214	54	17	.192	5	-12	+1	+0	+2	+3	-0.6
2025	18	ROK	DSL Rangers Blue	50	46	2	0	0	0	4	28	0	0	0	.043	.120	.043	.163	.000	.111	56	8	.100	-65	-9	+0	+0	+1	+1	-0.7
▸ 2026 Season
2026	19	MLB	TEX	55	50	10	2	0	1	4	18	1	1	0	.200	.273	.300	.573	.100	.290	33	7	.256	54	-3	+0	+0	+1	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	TEX	146	131	28	5	1	3	12	44	2	3	1	.214	.290	.336	.626	.122	.298	30	8	.285	76	-4	+0	+0	+3	+4	0.3
2028	21	MLB 28%	TEX	290	259	58	10	2	7	26	84	3	6	1	.224	.302	.359	.661	.135	.299	29	9	.298	86	-4	+1	+0	+5	+8	1.0
2029	22	MLB 48%	TEX	397	352	81	14	3	11	37	112	5	9	2	.230	.312	.381	.693	.151	.300	28	9	.307	93	-3	+1	+0	+7	+11	1.7
2030	23	MLB 65%	TEX	470	416	96	16	3	14	45	130	6	11	2	.231	.315	.385	.699	.154	.300	28	10	.314	99	-1	+1	+0	+8	+13	2.3
2031	24	MLB 82%	TEX	518	456	107	18	3	16	51	141	6	13	2	.235	.320	.393	.712	.158	.301	27	10	.318	102	+1	+2	+0	+9	+15	2.7
2032	25	MLB	TEX	520	456	107	18	3	16	53	141	6	13	2	.235	.322	.393	.715	.158	.301	27	10	.322	104	+2	+2	+0	+9	+15	2.9
2033	26	MLB	TEX	520	455	107	18	3	16	54	141	6	13	2	.235	.324	.393	.718	.158	.302	27	10	.323	106	+3	+2	+0	+9	+15	3.0
2034	27	MLB	TEX	520	455	107	18	3	16	54	141	6	12	2	.235	.324	.393	.718	.158	.302	27	10	.323	106	+3	+2	+0	+9	+15	2.9
2035	28	MLB	TEX	520	454	106	18	3	16	55	142	6	12	2	.233	.324	.392	.716	.159	.302	27	11	.322	105	+3	+2	-1	+9	+15	2.8
2036	29	MLB	TEX	520	454	106	18	3	16	55	144	6	11	1	.233	.324	.392	.716	.159	.301	28	11	.320	103	+2	+2	-1	+9	+15	2.7
2037	30	MLB	TEX	520	454	105	18	3	16	55	146	6	9	1	.231	.322	.390	.712	.159	.299	28	11	.317	101	+0	+1	-2	+9	+15	2.4
2038	31	MLB	TEX	504	440	101	17	3	15	53	143	6	7	0	.230	.321	.384	.705	.155	.298	28	11	.313	98	-1	+1	-3	+9	+14	2.1
2039	32	MLB	TEX	487	427	96	16	3	14	51	141	6	4	0	.225	.316	.375	.691	.150	.296	29	10	.308	94	-3	+1	-4	+9	+14	1.7
2040	33	MLB	TEX	445	390	85	14	2	12	47	132	5	2	0	.218	.310	.356	.666	.138	.295	30	11	.303	90	-5	+0	-4	+8	+13	1.2
2041	34	MLB	TEX	389	342	73	12	2	10	40	119	4	1	0	.213	.303	.348	.651	.135	.293	31	10	.296	85	-7	+0	-5	+7	+11	0.7
2042	35	MLB	TEX	330	289	61	10	2	8	34	104	4	0	0	.211	.303	.343	.645	.131	.291	32	10	.289	79	-8	+0	-6	+6	+9	0.2
2043	36	MLB	TEX	269	237	47	7	1	6	27	88	3	0	0	.198	.288	.312	.601	.114	.288	33	10	.280	72	-8	+0	-6	+5	+8	-0.2
2044	37	MLB	TEX	209	184	36	6	1	4	21	70	2	0	0	.196	.285	.304	.589	.109	.284	33	10	.270	65	-8	+0	-7	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7790	6835	1526	255	44	218	797	2269	92	130	18	.223	.313	.369	.682	.146	.298	29	10	.307	93	-62	+19	-38	+139	+221	28.4
/ 162G	—			650	570	127	21	4	18	67	189	8	11	2	.223	.313	.368	.682	.146	.298	29	10	.307	93	-5	+1	-3	+12	+18	2.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2024	17	ROK	DSL Rangers Blue	111	79	11	0	0	1	28	41	3	3	0	.139	.382	.177	.559	.038	.263	37	25	.296	85	-2	+1	—	—	+3	0.2
2025	18	ROK	DSL Rangers Blue	50	43	4	1	0	0	7	18	0	0	0	.093	.220	.116	.336	.023	.160	36	14	.178	-6	-6	+0	—	—	+1	-0.5

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
Klendy Leen (OGILVIE)	19	—	—	—	—	.198/.266/.291	.093	.290	1	1	32%	8%	54	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Tim Beckham 2009 · A	19	42→52	38→55	49→50	38	.202/.248/.282	.080	.290	5	7	31%	5%	43	-2.2	.219/.267/.307	.088	.310	5	10	29%	5%	57	-1.2	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
●Alex Liddi 2008 · A	19	41→51	41→60	47→50	36	.200/.246/.304	.104	.297	8	7	34%	5%	48	-1.9	.229/.277/.361	.132	.323	12	8	31%	6%	76	+0.1	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
●Wilin Rosario 2008 · A	19	39→49	37→60	45	35	.189/.235/.257	.068	.297	6	6	37%	5%	31	-3.0	.219/.259/.344	.125	.302	14	5	31%	5%	64	-0.8	.265/.302/.457	.192	.301	26	4	21%	5%	107	+1.6
●Maikel Franco 2012 · A	19	36→46	38→55	48→40	37	.180/.226/.261	.081	.253	6	4	30%	5%	28	-3.2	.239/.273/.382	.143	.277	16	3	20%	4%	80	+0.4	.263/.299/.434	.171	.290	19	2	17%	4%	100	+1.6
●Amed Rosario 2015 · A	19	39→49	40→50	43→55	36	.196/.231/.287	.092	.270	7	5	30%	4%	37	-2.7	.236/.274/.327	.091	.314	4	12	25%	4%	64	-0.8	.286/.323/.422	.136	.344	12	14	20%	5%	107	+1.7
●Lane Thomas 2016 · A	20	43→51	37→55	51→55	42	.200/.259/.277	.077	.294	3	9	32%	7%	46	-2.0	.194/.260/.302	.108	.313	10	13	38%	8%	54	-1.4	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0
●Yonathan Perlaza 2018 · A	19	40→50	37→60	48→50	37	.195/.235/.273	.078	.279	4	12	31%	5%	34	-2.8	.213/.257/.285	.072	.313	4	9	31%	6%	46	-2.0	.235/.307/.417	.182	.303	19	12	28%	9%	100	+1.6
✕Gilberto Celestino 2018 · A	19	42→52	39→45	53→50	43	.202/.260/.288	.085	.282	6	12	29%	7%	50	-1.8	.216/.267/.306	.090	.280	7	11	24%	6%	57	-1.2	.239/.310/.323	.084	.313	8	14	24%	9%	75	+0.0
●Michael Wing 2008 · A	19	44→53	37→55	51→40	37	.207/.253/.288	.081	.305	4	6	32%	5%	46	-2.0	.220/.269/.322	.102	.300	6	5	27%	6%	62	-0.9	.244/.285/.411	.167	.304	19	3	26%	4%	91	+0.7
●Oneil Cruz 2018 · A	19	41→51	41→60	45→55	35	.200/.243/.293	.093	.310	8	9	37%	5%	43	-2.2	.217/.257/.339	.122	.316	12	10	34%	5%	62	-0.9	.241/.304/.442	.201	.317	25	22	31%	8%	103	+1.7
✕Luis Vázquez 2019 · A	19	40→46	36→50	49→45	39	.193/.237/.259	.066	.276	3	8	30%	5%	32	-3.0	.202/.246/.272	.070	.280	4	10	28%	5%	39	-2.5	.230/.295/.366	.136	.298	17	8	27%	6%	82	+0.3
✕Eguy Rosario 2019 · A	19	42→49	39→55	48→55	40	.202/.255/.294	.092	.284	6	14	30%	6%	49	-1.8	.217/.266/.330	.113	.302	9	15	30%	6%	63	-0.8	.223/.285/.369	.146	.292	15	21	28%	7%	80	+0.2
●Cheslor Cuthbert 2011 · A	18	42→52	41→50	49→45	35	.201/.249/.301	.100	.304	7	6	35%	5%	49	-1.8	.215/.263/.317	.102	.277	10	4	25%	6%	59	-1.1	.250/.304/.396	.146	.292	17	1	20%	7%	95	+0.7
●Davis Schneider 2018 · A	19	40→44	41→55	48→50	50	.198/.276/.300	.102	.259	8	6	26%	9%	60	-1.0	.193/.268/.290	.097	.299	8	7	35%	8%	54	-1.4	.213/.322/.409	.196	.275	24	9	30%	12%	106	+1.6
●Jose Alvarez 2008 · A	19	41→51	38→60	49→50	38	.197/.247/.279	.082	.270	5	8	28%	5%	42	-2.3	.198/.241/.288	.090	.275	6	8	29%	3%	41	-2.3	.293/.324/.482	.189	.318	26	9	17%	2%	126	+2.8
✕Joe Benson 2007 · A	19	42→50	42→60	46→50	41	.206/.256/.312	.106	.277	8	10	28%	6%	54	-1.4	.214/.282/.309	.095	.312	6	13	31%	7%	65	-0.7	.231/.309/.414	.183	.319	19	15	32%	8%	101	+1.4
●Aaron Altherr 2010 · A	19	42→51	38→55	51→50	43	.201/.253/.279	.078	.267	5	11	26%	6%	44	-2.1	.200/.241/.279	.079	.282	6	16	30%	4%	38	-2.6	.244/.318/.420	.176	.303	17	14	24%	8%	104	+1.5
●Eloy Jiménez 2016 · A	19	40→50	40→65	49→40	39	.197/.240/.291	.094	.269	7	7	29%	5%	41	-2.3	.251/.286/.404	.153	.321	16	4	26%	4%	91	+1.1	.273/.314/.492	.219	.314	30	0	23%	5%	125	+2.3
✕Jhonny Pereda 2014 · A	18	39→48	37→45	47→40	44	.190/.244/.262	.072	.250	5	4	25%	6%	36	-2.7	.193/.250/.256	.063	.231	4	3	17%	6%	37	-2.7	.276/.346/.381	.105	.365	9	0	25%	9%	105	+0.9
●Austin Dean 2013 · A	19	40→50	39→55	45	45	.195/.265/.280	.085	.270	5	5	28%	8%	50	-1.7	.220/.275/.314	.094	.285	7	6	24%	6%	63	-0.9	.257/.302/.413	.156	.304	17	4	21%	5%	96	+1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)