Chase Harlan — OGILVIE

Chase Harlan3B Ontario Tower Buzzers

Age 20 R/R 6'3" / 205 lbs A HR +15%K -3% Svc 0.0 · Ctrl thru 2036 peak 3.0 · 2032

wRC+†89

AVG/OBP/SLG.216 / .285 / .357

PA292

HR8

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

24↗37

PWR

40↗58

SPD

44↗46

FLD

32↗45

EYE

53↘42

trajectory · 10 yrs

3.4peak

2033

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	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+2.9	$27M	+$26M
2032	Ext / FA-deal	$0.9M	+3.0	$29M	+$28M
2033	Ext / FA-deal	$1.0M	+3.0	$30M	+$29M
2034	Ext / FA-deal	$6M	+2.9	$29M	+$23M
2035	Ext / FA-deal	$9M	+2.7	$28M	+$19M
2036	Ext / FA-deal	$12M	+2.4	$26M	+$14M
Totals		$30M		$168M	+$139M

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
2025	19	ROK	2 teams	300	272	52	10	1	6	24	95	1	3	2	.191	.259	.301	.561	.110	.264	32	8	.245	45	-18	-0	+0	+1	+8	-0.9
▸ 2026 Season (actual · ROS · total)
2026	20	A	Ontario Tower Buzzers	64	54	13	0	1	2	9	20	1	0	0	.241	.359	.389	.748	.148	.344	31	14	.318	102	+0	+0	+0	+0	+2	0.2
ROS	20	MLB	LAD	228	204	45	7	2	6	20	67	2	3	1	.221	.296	.363	.659	.142	.293	29	9	.297	86	-4	+0	-1	+1	+6	0.3
TOT	20	MLB	LAD	292	258	58	7	3	8	29	87	3	3	1	.225	.310	.368	.679	.143	.305	30	10	.302	89	-4	+0	-1	+1	+8	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	LAD	355	316	74	12	2	11	32	94	4	6	1	.234	.312	.389	.702	.155	.294	26	9	.313	97	-1	+1	-2	+1	+10	0.9
2028	22	MLB 28%	LAD	443	394	94	15	3	15	41	114	5	8	2	.239	.318	.406	.724	.168	.296	26	9	.323	105	+3	+1	-2	+2	+13	1.5
2029	23	MLB 48%	LAD	500	444	107	17	3	18	47	126	5	9	2	.241	.321	.414	.735	.173	.297	25	9	.331	112	+7	+1	-3	+2	+14	2.1
2030	24	MLB 62%	LAD	537	474	117	19	3	21	52	133	6	9	2	.247	.329	.432	.761	.186	.297	25	10	.337	116	+10	+1	-3	+2	+15	2.6
2031	25	MLB 80%	LAD	558	492	123	20	4	22	55	137	6	10	2	.250	.333	.441	.774	.191	.298	25	10	.341	119	+12	+1	-3	+2	+16	2.9
2032	26	MLB 94%	LAD	568	500	126	20	4	23	57	140	6	10	2	.252	.336	.446	.782	.194	.299	25	10	.343	121	+13	+1	-3	+2	+16	3.0
2033	27	MLB	LAD	570	501	126	20	4	23	58	141	6	9	2	.251	.336	.445	.781	.194	.299	25	10	.343	121	+13	+1	-3	+2	+16	3.0
2034	28	MLB	LAD	567	498	124	20	3	23	58	141	6	9	1	.249	.335	.440	.774	.191	.298	25	10	.342	120	+13	+1	-4	+2	+16	2.9
2035	29	MLB	LAD	558	489	120	19	3	22	58	140	6	8	1	.245	.333	.431	.764	.186	.298	25	10	.340	118	+12	+1	-4	+2	+16	2.7
2036	30	MLB	LAD	548	480	117	19	3	21	57	140	6	8	1	.244	.331	.427	.759	.183	.296	26	10	.337	116	+10	+1	-5	+2	+16	2.4
2037	31	MLB	LAD	534	468	113	18	3	20	55	138	6	7	0	.241	.329	.421	.750	.179	.295	26	10	.333	113	+8	+1	-6	+2	+15	2.1
2038	32	MLB	LAD	516	453	108	17	3	19	53	136	5	6	0	.238	.325	.415	.740	.177	.293	26	10	.328	109	+6	+1	-6	+2	+15	1.7
2039	33	MLB	LAD	486	428	99	15	3	17	50	132	5	6	0	.231	.319	.400	.718	.168	.292	27	10	.323	105	+3	+1	-7	+2	+14	1.3
2040	34	MLB	LAD	440	388	87	13	2	15	45	123	4	5	0	.224	.311	.384	.695	.160	.290	28	10	.316	100	-0	+1	-7	+2	+12	0.8
2041	35	MLB	LAD	385	339	76	11	2	13	39	112	4	5	0	.224	.312	.383	.695	.159	.288	29	10	.308	94	-3	+1	-8	+1	+11	0.3
2042	36	MLB	LAD	325	287	62	9	2	10	32	98	3	4	0	.216	.301	.366	.667	.150	.285	30	10	.299	87	-5	+1	-8	+1	+9	-0.2
2043	37	MLB	LAD	261	231	47	7	1	7	26	81	2	4	0	.203	.290	.333	.623	.130	.281	31	10	.288	79	-6	+1	-8	+1	+7	-0.6
2044	38	MLB	LAD	193	170	35	5	1	5	19	61	2	3	0	.206	.293	.335	.628	.129	.276	32	10	.277	70	-6	+1	-9	+1	+5	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			8872	7828	1852	293	52	317	878	2349	90	132	19	.237	.321	.409	.729	.172	.295	26	10	.324	106	+65	+19	-91	+32	+251	28.2
/ 162G	—			650	574	135	21	4	23	64	172	7	10	1	.235	.319	.406	.725	.171	.293	26	10	.324	106	+5	+2	-7	+2	+18	2.1

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
2025	19	A	Rancho Cucamonga Quakes	123	104	25	3	0	3	18	32	1	2	1	.240	.358	.356	.713	.115	.319	26	15	.330	111	+1	+0	—	—	+3	0.5
2025	19	ROK	ACL Dodgers	177	156	45	13	1	6	18	35	0	1	1	.288	.362	.500	.862	.212	.331	20	10	.373	143	+9	-0	—	—	+5	1.4

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
Chase Harlan (OGILVIE)	20	24→37	40→58	44→46	42	.216/.285/.357	.141	.285	8	5	29%	8%	80	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Andy Pages 2021 · A	20	41→51	47→60	46→45	46	.210/.298/.347	.138	.263	15	10	26%	8%	83	+0.6	.215/.301/.412	.197	.284	25	6	32%	9%	101	+1.8	.261/.318/.433	.172	.316	21	10	23%	6%	110	+1.8
●Gary Sánchez 2013 · A	20	43→51	50→65	47→45	37	.223/.267/.374	.151	.302	18	8	32%	5%	76	+0.0	.229/.278/.368	.139	.290	17	5	26%	6%	79	+0.3	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
●Miguel Sanó 2013 · A	20	39→49	53→70	46→45	43	.208/.278/.385	.177	.285	21	5	34%	8%	84	+0.6	.226/.306/.449	.223	.311	28	7	35%	9%	112	+2.6	.243/.334/.470	.227	.340	31	2	35%	11%	124	+3.1
✕Kevin Padlo 2016 · A	20	39→40	46→55	50	46	.198/.273/.333	.136	.268	13	8	30%	8%	68	-0.5	.186/.271/.313	.127	.268	12	8	33%	10%	63	-0.9	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Alexander Canario 2021 · A	21	43→34	49→60	48→50	40	.217/.277/.364	.147	.303	17	8	33%	7%	77	+0.1	.205/.259/.386	.181	.288	24	14	36%	7%	76	+0.1	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
●Trevor Story 2013 · A	20	40→50	46→65	53→55	41	.204/.264/.340	.136	.276	13	11	30%	7%	66	-0.6	.192/.252/.330	.138	.298	14	15	38%	7%	58	-1.2	.270/.336/.500	.231	.327	29	25	26%	8%	134	+3.6
●Junior Caminero 2022 · A	19	44→52	49→65	49→45	45	.226/.283/.369	.143	.276	17	6	25%	7%	81	+0.4	.250/.300/.421	.171	.300	23	7	24%	6%	102	+1.8	.258/.305/.479	.221	.284	33	5	22%	6%	116	+2.6
✕Esmerlyn Valdez 2023 · A	19	42	45→55	45→40	43	.206/.283/.328	.122	.292	13	5	32%	8%	71	-0.3	.197/.275/.334	.137	.303	16	4	38%	8%	69	-0.4	.194/.284/.363	.169	.278	23	2	37%	9%	78	+0.1
●Mark Vientos 2019 · A	19	42→50	45→60	43→30	45	.215/.274/.337	.122	.275	14	3	27%	7%	69	-0.4	.206/.251/.346	.140	.279	17	2	32%	5%	62	-0.9	.246/.306/.451	.204	.321	28	0	31%	7%	109	+2.0
✕Roan Salas 2010 · A	20	46	48→65	46→40	45	.235/.283/.379	.144	.263	16	5	18%	6%	83	+0.6	.245/.298/.376	.131	.281	12	5	17%	6%	89	+0.9	.268/.322/.383	.115	.301	9	3	14%	6%	98	+0.7
●Jerry Sands 2009 · A	21	37→46	49→60	51→45	45	.195/.277/.339	.144	.267	18	8	33%	9%	72	-0.2	.231/.297/.425	.194	.284	25	6	27%	8%	102	+1.9	.233/.299/.438	.204	.278	26	7	26%	8%	105	+1.8
✕Bryan Ramos 2022 · A	20	40	45→50	49→50	41	.203/.270/.328	.125	.273	12	8	30%	6%	66	-0.6	.212/.271/.357	.145	.264	19	5	27%	6%	73	-0.1	.206/.264/.348	.141	.251	20	5	26%	6%	65	-0.5
✕Hao-Yu Lee 2023 · A	20	48→44	45→50	48→55	46	.232/.304/.355	.124	.309	12	12	28%	8%	86	+0.8	.239/.303/.370	.131	.306	13	16	25%	7%	89	+1.0	.238/.303/.382	.143	.296	14	19	24%	7%	90	+0.7
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Max Stassi 2011 · A	20	39→43	45→55	43→40	38	.194/.254/.315	.121	.302	13	5	39%	7%	55	-1.4	.211/.269/.347	.136	.289	16	4	31%	6%	69	-0.4	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Rudy van Heydoorn 2009 · A	20	40	43→45	43→50	47	.193/.290/.298	.105	.281	11	10	32%	10%	67	-0.5	.182/.264/.285	.103	.284	10	6	37%	8%	52	-1.6	.153/.236/.254	.101	.237	11	2	38%	9%	32	-0.9
✕Eric Haase 2014 · A	21	41	47→65	46→40	39	.204/.257/.342	.138	.299	14	4	36%	7%	63	-0.9	.195/.250/.342	.147	.292	16	3	37%	6%	60	-1.0	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Ravel Santana 2011 · A	19	43	46→50	51→55	47	.214/.294/.340	.125	.274	14	15	26%	8%	79	+0.3	.220/.281/.362	.142	.292	16	13	29%	7%	79	+0.3	.205/.253/.387	.182	.264	22	15	31%	6%	72	-0.1
✕Francisco Murillo 2007 · A	20	42	47→50	49→50	43	.213/.279/.345	.133	.294	15	8	32%	8%	73	-0.1	.199/.259/.322	.123	.301	13	6	36%	7%	59	-1.1	.150/.210/.278	.128	.229	14	3	40%	6%	26	-1.2
✕Brian Sanchez 2017 · A	21	42	48→60	46→45	37	.209/.270/.353	.143	.308	16	5	36%	6%	72	-0.2	.194/.247/.306	.112	.300	11	4	37%	6%	49	-1.8	.135/.188/.204	.069	.221	4	0	39%	6%	-5	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)