Christian Olivo — OGILVIE

Christian OlivoSS South Bend Cubs

Age 22 R/R 5'9" / 168 lbs A+ BB +5%HR -4% Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2030

wRC+†46

AVG/OBP/SLG.194 / .269 / .271

PA320

HR3

SB12

K%30

BB%8

MLB%0%

Scouting · now → future

HIT

40→40

PWR

25→25

SPD

60→60

EYE

46↗55

trajectory · 10 yrs

0.9peak

2030

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	Arb-2	$0.9M	+0.9	$4M	+$3M
2031	Arb-3	$0.9M	+0.9	$4M	+$3M
2032	Ext / FA-deal	$0.9M	+0.8	$4M	+$3M
2033	Ext / FA-deal	$1M	+0.6	$3M	+$2M
2034	Ext / FA-deal	$1M	+0.4	$2M	+$0.7M
2035	Ext / FA-deal	$1.0M	+0.1	$0.5M	-$0.5M
Totals		$6M		$18M	+$11M

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
2021	17	ROK	ACL Cubs	15	14	0	0	0	0	0	12	1	0	0	.000	.067	.000	.067	.000	.000	80	0	.054	-100	-3	+0	+0	+0	+0	-0.3
2022	18	ROK	ACL Cubs	107	94	14	1	1	0	6	30	5	10	2	.149	.238	.181	.419	.032	.219	28	6	.182	-2	-12	+1	+0	+1	+3	-0.7
2023	19	ROK	ACL Cubs	111	97	18	5	0	1	10	33	3	7	3	.186	.282	.268	.550	.082	.270	30	9	.237	40	-8	+0	+0	+1	+3	-0.3
2024	20	A	3 teams	442	403	66	4	1	3	23	154	5	22	5	.164	.218	.201	.419	.037	.252	35	5	.192	5	-48	+2	+0	+5	+13	-2.8
2025	21	A	Myrtle Beach Pelicans	348	309	59	13	1	3	26	96	11	28	10	.191	.277	.269	.546	.078	.264	28	7	.247	47	-21	+2	+0	+4	+10	-0.6
▸ 2026 Season (actual · ROS · total)
2026	22	A+	South Bend Cubs	54	45	6	1	0	1	9	16	0	3	0	.133	.278	.222	.500	.089	.179	30	17	.217	24	-5	+1	+0	+1	+2	-0.2
ROS	22	MLB	CHC	266	237	45	8	1	3	23	81	4	9	2	.190	.273	.270	.543	.080	.268	30	9	.251	50	-15	+1	+0	+3	+8	-0.4
TOT	22	MLB	CHC	320	282	51	9	1	4	32	97	4	12	2	.181	.274	.262	.536	.082	.258	30	10	.245	46	-20	+2	+0	+3	+9	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	CHC	384	339	67	12	1	6	36	100	6	12	3	.198	.286	.292	.578	.094	.261	26	9	.270	65	-15	+1	+0	+4	+11	0.1
2028	24	MLB 26%	CHC	445	392	79	14	1	8	43	113	7	13	3	.202	.292	.304	.595	.102	.264	25	10	.279	72	-14	+1	+0	+5	+13	0.5
2029	25	MLB 44%	CHC	479	422	89	16	2	10	47	120	7	14	3	.211	.300	.329	.630	.118	.266	25	10	.285	76	-13	+2	+0	+5	+14	0.7
2030	26	MLB 59%	CHC	498	438	92	16	2	10	50	125	7	14	3	.210	.301	.324	.625	.114	.267	25	10	.287	78	-12	+2	+0	+5	+14	0.9
2031	27	MLB 76%	CHC	505	442	94	17	2	11	51	127	7	13	3	.213	.304	.335	.639	.122	.267	25	10	.287	78	-12	+1	+0	+5	+14	0.9
2032	28	MLB 84%	CHC	505	442	92	16	2	10	51	128	7	13	2	.208	.300	.321	.621	.113	.267	25	10	.286	77	-13	+2	-1	+5	+14	0.8
2033	29	MLB	CHC	498	437	90	16	1	10	51	128	7	12	2	.206	.299	.316	.615	.110	.266	26	10	.284	76	-14	+2	-1	+5	+14	0.6
2034	30	MLB	CHC	489	429	88	16	1	10	50	127	7	11	2	.205	.298	.317	.615	.112	.264	26	10	.281	73	-15	+1	-2	+5	+14	0.4
2035	31	MLB	CHC	476	417	84	15	1	9	49	126	7	9	1	.201	.296	.307	.603	.106	.263	26	10	.277	70	-16	+1	-3	+5	+13	0.1
2036	32	MLB	CHC	459	403	79	14	1	8	47	123	6	8	0	.196	.289	.295	.585	.099	.261	27	10	.273	67	-17	+2	-4	+5	+13	-0.1
2037	33	MLB	CHC	430	377	73	13	1	7	44	119	6	7	0	.194	.288	.289	.577	.095	.259	28	10	.267	63	-18	+1	-4	+5	+12	-0.4
2038	34	MLB	CHC	384	337	64	11	1	6	39	109	5	6	0	.190	.283	.282	.565	.092	.257	28	10	.261	58	-18	+1	-5	+4	+11	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6841	6029	1193	207	20	115	646	1851	108	208	44	.198	.287	.296	.583	.098	.263	27	9	.268	63	-285	+24	-20	+73	+194	-1.4
/ 162G	—			650	573	114	20	2	11	61	176	10	20	4	.199	.287	.298	.585	.099	.265	27	9	.268	63	-27	+2	-2	+7	+18	-0.1

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
2021	17	ROK	ACL Cubs	15	14	1	0	0	0	0	8	1	0	0	.071	.133	.071	.205	.000	.167	53	0	.109	-58	-3	+0	—	—	+0	-0.2
2022	18	ROK	ACL Cubs	107	88	17	1	1	0	12	20	5	10	2	.193	.324	.227	.551	.034	.250	19	11	.267	62	-5	+1	—	—	+3	-0.0
2023	19	ROK	ACL Cubs	111	91	24	7	0	1	16	23	3	7	3	.264	.391	.374	.765	.110	.343	21	14	.351	126	+3	+0	—	—	+3	0.7
2024	20	A+	South Bend Cubs	51	47	4	0	0	0	3	13	0	0	0	.085	.140	.085	.225	.000	.118	25	6	.112	-56	-9	+0	—	—	+1	-0.8
2024	20	A	Myrtle Beach Pelicans	334	293	66	5	2	3	29	82	4	20	4	.225	.304	.287	.590	.061	.297	25	9	.269	64	-14	+2	—	—	+9	-0.2
2024	20	INTL	Gigantes de Carolina	57	48	8	0	0	1	6	14	1	2	1	.167	.273	.229	.502	.062	.212	25	11	.234	37	-4	+0	—	—	+2	-0.2
2025	21	A	Myrtle Beach Pelicans	348	288	69	17	1	3	47	64	11	28	10	.240	.367	.337	.704	.097	.296	18	14	.328	109	+3	+2	—	—	+10	1.5

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
Christian Olivo (OGILVIE)	22	40	25	60	55	.194/.269/.271	.077	.278	3	10	30%	8%	50	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Curpa 2022 · A	22	41	36→30	57→55	46	.190/.272/.257	.067	.287	2	24	32%	9%	47	-1.9	.201/.288/.281	.080	.308	5	17	33%	9%	61	-1.0	.189/.290/.248	.059	.290	4	23	32%	10%	52	-0.4
✕Ronaldo Urdaneta 2021 · A	22	44	39→40	53→60	40	.210/.265/.300	.090	.306	6	14	32%	6%	54	-1.4	.187/.266/.264	.077	.308	6	22	38%	8%	47	-1.9	.145/.239/.202	.057	.243	5	33	39%	9%	19	-1.1
✕Jenner Emeterio 2014 · A	21	45	36→30	54→60	51	.210/.290/.269	.060	.280	4	23	25%	10%	59	-1.1	.222/.308/.288	.066	.293	2	21	22%	10%	71	-0.3	.235/.336/.301	.066	.302	0	28	19%	12%	85	+0.3
✕Christian Cairo 2023 · A	22	40→47	39→40	53→60	49	.186/.290/.271	.084	.288	7	16	34%	11%	60	-1.0	.204/.296/.285	.081	.295	5	22	29%	10%	66	-0.6	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Tyreace House 2010 · A	22	46	36→30	53→55	46	.214/.282/.276	.061	.301	3	14	28%	8%	56	-1.3	.202/.292/.246	.044	.274	1	19	24%	10%	53	-1.5	.191/.284/.221	.030	.260	1	22	24%	10%	42	-1.8
✕Tyler James 2018 · A	21	44	36→30	63→65	42	.205/.267/.282	.077	.295	2	25	29%	7%	51	-1.7	.219/.282/.293	.074	.330	4	28	32%	7%	60	-1.0	.230/.297/.289	.060	.352	4	45	33%	8%	61	-0.4
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	43	.206/.257/.288	.083	.264	5	20	24%	6%	48	-1.9	.238/.299/.313	.075	.302	4	31	21%	6%	72	-0.2	.248/.310/.323	.074	.311	3	36	20%	6%	76	+0.1
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Dionis Hinojosa 2013 · A	22	44	36→30	54→60	41	.205/.269/.269	.064	.299	3	20	31%	7%	49	-1.8	.203/.255/.270	.067	.285	4	13	28%	6%	43	-2.2	.192/.240/.248	.056	.257	3	13	25%	5%	27	-0.8
✕Dru Baker 2022 · A	22	45→55	38→40	55→60	41	.214/.268/.296	.082	.300	4	13	29%	6%	55	-1.4	.238/.294/.344	.106	.336	10	29	30%	6%	79	+0.3	.245/.298/.334	.089	.343	8	39	29%	6%	73	-0.1
✕Evan Crawford 2011 · A	22	45→55	38→40	58→55	37	.215/.254/.302	.087	.299	5	16	29%	4%	50	-1.8	.237/.281/.320	.083	.328	4	19	27%	4%	66	-0.6	.260/.305/.335	.074	.360	2	25	26%	4%	76	+0.0
✕Tyler Goeddel 2015 · A	22	45→49	41→45	56→55	42	.216/.273/.320	.104	.300	7	18	29%	6%	63	-0.8	.226/.284/.340	.114	.295	9	17	25%	7%	73	-0.1	.224/.286/.334	.110	.283	10	18	23%	7%	70	-0.2
✕Roberto Caro 2016 · A	22	44→39	38→40	61→60	48	.207/.284/.298	.091	.280	3	20	26%	8%	63	-0.9	.210/.279/.286	.076	.314	2	18	31%	8%	57	-1.2	.219/.291/.296	.077	.328	2	26	31%	8%	63	-0.4
✕Kristopher Negrón 2008 · A	22	41→50	37→45	54→55	42	.198/.259/.269	.070	.263	5	17	26%	6%	44	-2.1	.219/.279/.315	.096	.280	7	20	23%	6%	65	-0.7	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Mikey Edie 2019 · A	22	47	35→30	51→50	35	.214/.264/.277	.063	.323	2	15	33%	4%	48	-1.9	.207/.258/.278	.071	.287	4	8	28%	4%	46	-2.0	.193/.240/.251	.058	.266	3	7	27%	3%	27	-1.7
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Erlin Cerda 2017 · A	23	45	36→40	53→55	44	.210/.273/.281	.071	.280	2	13	24%	6%	53	-1.5	.196/.241/.267	.071	.299	3	8	33%	5%	35	-2.8	.166/.201/.211	.044	.261	0	8	35%	4%	-1	-1.2
✕Derrik Gibson 2012 · A	22	43→53	35→40	53→55	44	.202/.258/.259	.056	.269	2	19	24%	6%	40	-2.4	.216/.275/.278	.062	.294	2	15	25%	7%	53	-1.5	.249/.312/.317	.069	.316	3	11	20%	7%	75	+0.0
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)