Carlos Franco — OGILVIE

Carlos FrancoC Lansing Lugnuts

Age 23 R/R 5'8" / 150 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 1.3 · 2030

wRC+†63

AVG/OBP/SLG.222 / .272 / .329

PA320

HR5

K%23

BB%6

MLB%0%

Scouting · now → future

HIT

40→40

PWR

30→30

SPD

40→40

EYE

36↘25

trajectory · 10 yrs

1.3peak

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	+1.3	$12M	+$11M
2031	Arb-3	$0.9M	+1.2	$11M	+$10M
2032	Ext / FA-deal	$0.9M	+1.0	$10M	+$9M
2033	Ext / FA-deal	$1M	+0.8	$4M	+$3M
2034	Ext / FA-deal	$1M	+0.5	$3M	+$1M
2035	Ext / FA-deal	$1.0M	+0.2	$1M	+$0.1M
Totals		$6M		$40M	+$33M

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	18	ROK	ACL Athletics	27	26	6	1	0	0	1	3	0	0	0	.231	.259	.269	.528	.038	.261	11	4	.205	15	-3	+0	+0	+0	+1	-0.1
2022	19	ROK	ACL Athletics	102	93	16	3	1	1	6	23	3	2	0	.172	.245	.258	.503	.086	.217	23	6	.218	25	-9	+0	+0	+2	+3	-0.4
2023	20	A	Stockton Ports	136	127	28	1	0	1	8	38	0	0	0	.220	.267	.252	.519	.031	.303	28	6	.233	37	-10	+0	+0	+2	+4	-0.4
2024	21	A	Stockton Ports	116	111	18	2	0	0	4	29	1	0	0	.162	.198	.180	.378	.018	.220	25	3	.171	-11	-15	+0	+0	+2	+3	-0.9
2025	22	A	2 teams	299	284	52	9	1	2	11	67	2	1	0	.183	.219	.243	.462	.060	.230	22	4	.204	15	-29	+0	+0	+5	+8	-1.5
▸ 2026 Season (actual · ROS · total)
2026	23	A+	Lansing Lugnuts	28	25	6	1	0	0	1	5	0	0	0	.240	.269	.280	.549	.040	.273	18	4	.221	27	-2	+0	+0	+0	+1	-0.1
ROS	23	MLB	OAK	292	271	60	11	1	5	17	68	2	4	1	.221	.272	.325	.597	.103	.278	23	6	.272	66	-11	+0	+0	+5	+8	0.3
TOT	23	MLB	OAK	320	296	66	12	1	5	18	73	2	4	1	.223	.272	.321	.593	.098	.276	23	6	.267	63	-13	+0	+0	+6	+9	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	OAK	375	346	79	15	2	7	23	86	3	5	1	.228	.282	.344	.626	.116	.280	23	6	.282	74	-11	+1	+0	+7	+11	0.7
2028	25	MLB 25%	OAK	419	385	89	17	2	9	28	95	3	6	1	.231	.288	.356	.644	.125	.282	23	7	.288	79	-10	+1	+0	+7	+12	1.0
2029	26	MLB 43%	OAK	446	408	95	18	2	10	31	101	4	6	1	.233	.293	.360	.654	.127	.283	23	7	.292	81	-9	+1	+0	+8	+13	1.2
2030	27	MLB 58%	OAK	455	416	96	18	2	10	32	104	4	6	1	.231	.292	.356	.648	.125	.283	23	7	.292	82	-9	+1	+0	+8	+13	1.3
2031	28	MLB 68%	OAK	457	417	96	18	2	10	33	105	4	6	1	.230	.293	.355	.648	.125	.282	23	7	.291	81	-10	+1	-1	+8	+13	1.2
2032	29	MLB 77%	OAK	451	412	95	18	2	10	32	105	4	5	1	.231	.292	.357	.649	.126	.282	23	7	.289	80	-10	+1	-1	+8	+13	1.0
2033	30	MLB 84%	OAK	443	404	91	17	2	9	32	104	4	5	0	.225	.289	.344	.633	.119	.280	23	7	.286	77	-11	+1	-2	+8	+13	0.8
2034	31	MLB 91%	OAK	417	381	85	16	2	8	30	100	3	3	0	.223	.285	.339	.624	.115	.279	24	7	.282	74	-12	+1	-3	+7	+12	0.5
2035	32	MLB	OAK	388	354	79	14	2	8	28	95	3	3	0	.223	.286	.342	.628	.119	.277	24	7	.278	71	-13	+1	-4	+7	+11	0.2
2036	33	MLB	OAK	349	318	69	13	1	6	25	88	3	2	0	.217	.280	.321	.601	.104	.276	25	7	.272	67	-13	+0	-4	+6	+10	-0.1
2037	34	MLB	OAK	298	273	57	10	1	5	21	78	2	2	0	.209	.270	.308	.578	.099	.274	26	7	.266	62	-13	+0	-5	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5470	5026	1111	201	23	101	362	1289	45	56	7	.221	.279	.330	.610	.109	.276	24	7	.274	68	-198	+8	-20	+98	+155	4.4
/ 162G	—			650	597	132	24	3	12	43	153	5	7	1	.221	.279	.332	.610	.111	.276	24	7	.274	68	-24	+1	-2	+12	+18	0.5

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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	18	ROK	ACL Athletics	27	26	7	1	0	0	1	2	0	0	.269	.296	.308	.604	.038	.292	7	4	.275	68	-1	+0	—	—	+1	-0.0
2022	19	ROK	ACL Athletics	102	89	21	4	1	1	10	16	3	2	.236	.333	.337	.670	.101	.278	16	10	.310	95	-1	+0	—	—	+3	0.3
2023	20	A	Stockton Ports	136	123	31	1	0	1	12	28	0	0	.252	.319	.285	.603	.033	.316	21	9	.279	72	-4	+0	—	—	+4	-0.0
2024	21	A	Stockton Ports	116	109	22	2	0	0	6	22	1	0	.202	.250	.220	.470	.018	.253	19	5	.221	27	-10	+0	—	—	+3	-0.6
2025	22	AA	Midland RockHounds	49	48	5	0	0	0	1	8	0	0	.104	.122	.104	.227	.000	.125	16	2	.107	-60	-9	+0	—	—	+1	-0.8
2025	22	A	Stockton Ports	250	231	56	11	1	3	15	43	2	1	.242	.294	.338	.632	.095	.283	17	6	.284	76	-7	+0	—	—	+7	0.0

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
Carlos Franco (OGILVIE)	23	40	30	40	25	.222/.272/.329	.107	.278	5	4	23%	6%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gilberto Galaviz 2015 · AAA	23	47	42→40	46→30	40	.233/.266/.338	.105	.276	10	6	20%	4%	65	-0.7	.248/.285/.331	.083	.286	7	5	15%	4%	70	-0.3	.257/.294/.304	.047	.287	3	1	11%	3%	64	-0.3
✕David Urias 2008 · AAA	23	43	39→40	39→45	38	.213/.245/.297	.085	.267	7	7	23%	3%	45	-2.1	.234/.267/.310	.076	.284	4	9	18%	4%	57	-1.2	.286/.313/.364	.078	.333	6	6	15%	3%	87	+0.3
✕Ramón Rodríguez 2022 · AA	23	43	43→40	47→45	41	.215/.260/.324	.109	.274	11	5	26%	5%	59	-1.1	.223/.275/.317	.094	.260	10	8	18%	6%	63	-0.8	.219/.280/.315	.096	.240	11	8	14%	7%	64	-0.3
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	.215/.290/.307	.093	.291	8	4	28%	7%	69	-0.4	.217/.295/.297	.080	.272	8	4	22%	7%	69	-0.4	.202/.287/.263	.061	.244	8	1	19%	7%	57	-0.4
✕Luis Porchas 2013 · AAA	23	47	40→30	43→50	42	.228/.281/.316	.088	.281	7	10	21%	5%	66	-0.6	.234/.277/.316	.082	.300	8	10	24%	4%	64	-0.8	.235/.276/.289	.053	.308	4	9	24%	4%	52	-0.4
✕Ivan Jimenez 2016 · AAA	23	45	41→40	46→55	39	.219/.262/.314	.095	.300	9	10	29%	5%	56	-1.3	.245/.294/.332	.087	.318	6	15	23%	6%	75	-0.0	.272/.336/.356	.084	.346	2	18	20%	7%	93	+0.5
✕Mike Dowd 2014 · AA	24	48	39→40	41→40	41	.228/.268/.310	.082	.268	6	4	18%	3%	59	-1.1	.203/.252/.278	.075	.259	5	5	23%	5%	43	-2.2	.176/.219/.225	.048	.231	3	2	24%	4%	11	-1.5
✕Adolfo Gonzalez 2008 · AA	23	48	41→40	45	39	.234/.272/.334	.100	.305	8	7	26%	4%	66	-0.6	.240/.273/.329	.089	.328	6	7	27%	4%	65	-0.7	.249/.275/.326	.077	.340	5	5	27%	3%	61	-0.4
✕Luis Perez 2014 · A	23	45	43→30	50	40	.222/.267/.338	.116	.279	10	9	24%	5%	66	-0.6	.219/.258/.331	.112	.307	10	6	30%	5%	59	-1.1	.217/.244/.347	.129	.299	11	2	31%	3%	54	-0.4
✕Imeldo Diaz 2021 · A	23	49	39→40	40→45	40	.237/.272/.328	.092	.299	6	6	23%	4%	64	-0.8	.217/.254/.295	.078	.305	6	7	30%	4%	48	-1.9	.200/.222/.229	.028	.290	3	3	31%	2%	13	-1.0
✕Dante Bichette Jr. 2016 · AA	23	42→48	41→40	40	42	.207/.258/.301	.094	.275	8	2	27%	6%	53	-1.5	.226/.286/.323	.097	.293	9	4	24%	7%	69	-0.4	.239/.299/.331	.092	.299	8	3	22%	7%	74	-0.0
✕Wyatt Toregas 2007 · AA	24	45→38	42→45	38→40	43	.222/.272/.323	.102	.275	9	3	23%	6%	64	-0.8	.227/.279/.346	.119	.268	13	4	20%	6%	73	-0.1	.222/.276/.342	.120	.254	15	2	19%	6%	70	-0.2
✕Billy Rojo 2006 · A	23	44	41→30	42→50	41	.216/.271/.319	.103	.285	8	6	27%	6%	63	-0.9	.214/.264/.288	.074	.278	4	9	23%	6%	51	-1.7	.211/.257/.272	.061	.273	2	10	22%	5%	40	-0.9
✕Donny Sands 2019 · A	23	46	38→45	39→40	40	.223/.263/.302	.080	.287	6	4	24%	5%	54	-1.4	.208/.257/.308	.100	.276	9	4	27%	5%	53	-1.5	.228/.289/.352	.124	.275	14	2	22%	8%	77	+0.1
✕Jonathan Esqueda 2009 · AAA	24	45	40→30	42→45	44	.221/.275/.309	.088	.278	9	7	23%	6%	61	-1.0	.222/.272/.326	.104	.283	10	11	24%	6%	64	-0.8	.233/.275/.316	.083	.298	5	11	23%	4%	60	-0.3
✕Taylor Krick 2011 · A	23	43	39→30	48→40	49	.206/.285/.289	.084	.266	7	7	24%	9%	62	-0.9	.224/.308/.287	.063	.307	4	5	26%	8%	71	-0.3	.233/.323/.283	.051	.326	2	2	26%	8%	73	-0.0
✕David Rodríguez 2019 · AA	23	44	39→40	42→40	41	.211/.264/.297	.086	.282	7	4	27%	6%	53	-1.5	.211/.266/.324	.113	.288	11	6	29%	6%	62	-0.9	.199/.257/.325	.126	.271	16	4	32%	7%	56	-0.5
✕Chris Denove 2006 · A	23	44	40	47→40	46	.212/.286/.304	.092	.282	7	6	26%	8%	66	-0.6	.200/.260/.271	.071	.268	4	4	25%	7%	46	-2.0	.245/.301/.340	.096	.298	7	3	19%	6%	79	+0.1
✕Ramon Soto 2011 · AAA	23	51	36→30	41→45	43	.242/.284/.304	.063	.291	4	8	18%	5%	63	-0.8	.240/.286/.306	.066	.289	4	8	18%	5%	65	-0.7	.288/.333/.350	.062	.354	1	8	18%	5%	91	+0.4
✕Luis Cruz 2016 · A	23	46	38→40	44→45	41	.219/.271/.301	.082	.282	6	4	24%	5%	57	-1.2	.220/.265/.303	.083	.320	6	5	31%	5%	55	-1.4	.223/.262/.302	.079	.348	7	2	36%	4%	51	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)