Geuri Lubo — OGILVIE

Geuri LuboSS ACL Cubs

Age 22 R/R 6'2" / 185 lbs ROK BB +5%HR -4% Svc 0.0 · Ctrl thru 2037 peak 1.3 · 2031

wRC+†61

AVG/OBP/SLG.206 / .274 / .305

PA77

HR1

K%29

BB%8

MLB%0%

trajectory · 10 yrs

1.3peak

2031

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	+1.2	$11M	+$11M
2033	Ext / FA-deal	$1.0M	+1.0	$10M	+$9M
2034	Ext / FA-deal	$1.0M	+0.9	$5M	+$4M
2035	Ext / FA-deal	$1M	+0.6	$3M	+$2M
2036	Ext / FA-deal	$1M	+0.3	$2M	+$0.6M
2037	Ext / FA-deal	$7M	—	—	—
Totals		$13M		$31M	+$18M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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	DSL Cubs Red	124	113	18	2	0	0	8	35	2	3	2	.159	.228	.177	.405	.018	.228	28	6	.186	1	-14	-0	+0	+1	+4	-0.9
2022	18	ROK	DSL Cubs Blue	119	112	24	7	0	3	2	30	4	8	3	.214	.254	.357	.611	.143	.263	25	2	.245	46	-7	+0	+0	+1	+3	-0.2
2023	19	ROK	ACL Cubs	105	94	13	5	0	0	10	40	1	1	2	.138	.229	.191	.420	.053	.241	38	10	.192	5	-11	-1	+0	+1	+3	-0.8
2024	20	ROK	ACL Cubs	164	146	31	4	1	2	13	47	3	13	4	.212	.290	.295	.585	.082	.293	29	8	.262	59	-8	+1	+0	+2	+5	-0.0
▸ 2026 Season
2026	22	MLB	CHC	77	70	14	3	0	1	6	22	1	1	0	.200	.273	.286	.558	.086	.286	29	8	.265	61	-3	+0	+0	+1	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	CHC	113	102	22	4	1	2	9	31	1	2	0	.216	.286	.333	.619	.118	.288	27	8	.282	74	-3	+0	+0	+1	+3	0.2
2028	24	MLB 26%	CHC	244	220	50	9	2	6	20	66	2	4	1	.227	.298	.368	.666	.141	.289	27	8	.292	82	-5	+0	+0	+3	+7	0.5
2029	25	MLB 43%	CHC	330	296	67	12	2	8	28	88	3	6	1	.226	.300	.361	.661	.135	.291	27	8	.299	87	-5	+1	+0	+4	+9	0.9
2030	26	MLB 58%	CHC	387	346	78	14	2	10	34	103	4	6	1	.225	.302	.364	.666	.139	.292	27	9	.303	90	-4	+1	+0	+4	+11	1.2
2031	27	MLB 76%	CHC	417	373	84	15	2	11	37	111	4	7	1	.225	.302	.365	.667	.139	.292	27	9	.303	90	-5	+1	+0	+4	+12	1.3
2032	28	MLB 84%	CHC	432	387	88	16	3	11	38	116	4	6	1	.227	.303	.370	.673	.142	.291	27	9	.302	89	-5	+1	-1	+5	+12	1.2
2033	29	MLB 90%	CHC	434	388	87	16	2	11	39	118	4	5	1	.224	.302	.361	.662	.137	.290	27	9	.300	88	-6	+1	-1	+5	+12	1.0
2034	30	MLB	CHC	432	386	85	15	2	11	39	119	4	5	0	.220	.298	.355	.653	.135	.289	28	9	.297	85	-7	+1	-2	+5	+12	0.9
2035	31	MLB	CHC	423	378	83	15	2	10	38	118	4	2	0	.220	.298	.349	.647	.130	.288	28	9	.293	82	-8	+0	-3	+5	+12	0.6
2036	32	MLB	CHC	408	365	79	14	2	10	36	116	4	1	0	.216	.294	.348	.642	.132	.286	28	9	.288	79	-10	+0	-4	+4	+12	0.3
2037	33	MLB	CHC	380	339	72	13	2	8	34	111	4	0	0	.212	.292	.333	.625	.121	.284	29	9	.283	75	-11	+0	-4	+4	+11	-0.0
2038	34	MLB	CHC	337	301	63	11	2	7	30	101	3	0	0	.209	.287	.329	.616	.120	.283	30	9	.277	70	-11	+0	-5	+4	+10	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4926	4416	958	175	25	111	421	1372	52	70	17	.217	.293	.343	.636	.126	.286	28	9	.287	78	-124	+7	-20	+53	+140	5.7
/ 162G	—			650	583	126	23	3	15	56	181	7	9	2	.216	.293	.343	.636	.127	.285	28	9	.287	78	-16	+1	-3	+7	+18	0.8

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	DSL Cubs Red	124	109	22	3	0	0	12	22	2	3	2	.202	.293	.229	.522	.028	.250	18	10	.249	49	-7	-0	—	—	+4	-0.4
2022	18	ROK	DSL Cubs Blue	119	111	29	8	0	3	3	21	4	8	3	.261	.305	.414	.719	.153	.295	18	3	.318	102	+0	+0	—	—	+3	0.4
2023	19	ROK	ACL Cubs	105	88	18	7	0	0	16	28	1	1	2	.205	.333	.284	.617	.080	.300	27	15	.294	83	-2	-1	—	—	+3	0.0
2024	20	ROK	ACL Cubs	164	139	40	5	1	3	20	32	3	13	4	.288	.389	.403	.792	.115	.349	20	12	.357	131	+6	+1	—	—	+5	1.2

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
Geuri Lubo (OGILVIE)	22	—	—	—	—	.206/.274/.305	.099	.286	1	1	29%	8%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Eric Fryer 2008 · A	22	39→49	40→45	45→50	42	.195/.249/.284	.089	.258	7	7	27%	6%	44	-2.1	.241/.298/.354	.113	.308	9	10	24%	6%	82	+0.5	.247/.311/.365	.118	.317	10	11	23%	7%	87	+0.6
✕Adam Abraham 2009 · A	22	39→47	44→50	49→40	43	.199/.261/.312	.112	.263	11	5	28%	7%	57	-1.2	.215/.270/.328	.113	.270	10	4	23%	6%	65	-0.7	.222/.283/.344	.122	.281	12	2	24%	7%	72	-0.1
●Alonzo Harris 2011 · A	22	39→49	42→55	51→60	36	.196/.232/.300	.103	.263	10	13	30%	4%	40	-2.4	.219/.261/.311	.092	.282	7	18	24%	5%	56	-1.3	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Jonathan Ornelas 2022 · A	22	41→51	41→45	48→50	38	.204/.251/.304	.100	.277	9	9	29%	5%	50	-1.7	.233/.286/.332	.099	.320	10	11	29%	6%	72	-0.2	.231/.292/.316	.084	.322	9	12	29%	7%	67	-0.4
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
●Wynton Bernard 2013 · A	22	44→54	39→45	52→60	42	.208/.269/.296	.088	.301	6	10	31%	7%	56	-1.3	.242/.293/.332	.090	.318	5	19	24%	6%	75	-0.0	.270/.315/.362	.092	.329	5	28	19%	6%	86	+0.7
✕Francisco Acuna 2022 · A	22	39→47	39→40	48→50	44	.186/.276/.275	.089	.270	6	10	31%	8%	56	-1.3	.202/.273/.299	.097	.277	7	11	28%	6%	59	-1.1	.213/.285/.313	.100	.282	9	16	26%	7%	64	-0.4
✕Ezequiel Duran 2021 · A	22	38→48	39→55	52→50	33	.186/.233/.270	.084	.294	7	8	38%	4%	33	-2.9	.226/.276/.390	.164	.313	19	14	33%	6%	84	+0.6	.235/.283/.404	.168	.313	19	14	30%	5%	88	+0.7
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Javier Valdes 2021 · A	22	40	37→55	50→30	45	.190/.266/.263	.073	.266	4	7	28%	8%	47	-1.9	.209/.291/.323	.114	.277	12	5	27%	8%	74	-0.1	.207/.303/.355	.148	.256	18	3	26%	9%	85	+0.3
✕Ashton McGee 2021 · A	22	41	39→50	50→40	41	.194/.258/.283	.089	.288	5	5	33%	7%	48	-1.9	.206/.290/.322	.116	.364	11	3	42%	10%	72	-0.2	.191/.284/.307	.117	.346	12	2	44%	11%	63	-0.4
✕David Bote 2014 · A	21	40→48	39→55	47→45	47	.191/.269/.278	.087	.263	6	7	28%	9%	52	-1.6	.204/.273/.294	.090	.273	6	6	26%	7%	57	-1.2	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Ramon Mendoza 2023 · A	22	41→48	37→45	48→45	45	.193/.269/.270	.078	.280	4	7	31%	8%	50	-1.8	.211/.284/.310	.099	.294	8	5	29%	8%	66	-0.6	.219/.298/.332	.113	.294	11	3	27%	9%	76	+0.0
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Anderson Gomes 2007 · A	22	41→38	43→45	47→50	39	.205/.252/.313	.108	.275	10	9	29%	5%	53	-1.5	.220/.270/.333	.113	.292	11	7	27%	6%	66	-0.6	.223/.275/.335	.112	.290	12	5	26%	6%	67	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)