Rosman Verdugo — OGILVIE

Rosman VerdugoSS Fort Wayne TinCaps

Age 21 R/R 5'11" / 180 lbs A+ HR +13%BB +8% Svc 0.0 · Ctrl thru 2035 peak 1.2 · 2031

wRC+†45

AVG/OBP/SLG.171 / .258 / .275

PA320

HR6

K%38

BB%9

MLB%0%

Scouting · now → future

HIT

25→25

PWR

40→40

SPD

45→45

EYE

55↗60

trajectory · 10 yrs

1.2peak

2031

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	+1.1	$10M	+$9M
2031	Arb-3	$0.9M	+1.2	$11M	+$10M
2032	Ext / FA-deal	$0.9M	+1.2	$11M	+$11M
2033	Ext / FA-deal	$2M	+1.0	$10M	+$8M
2034	Ext / FA-deal	$3M	+0.8	$4M	+$1M
2035	Ext / FA-deal	$3M	+0.6	$3M	+$0.2M
Totals		$11M		$50M	+$39M

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
2022	17	ROK	2 teams	223	200	29	4	2	4	15	120	4	5	4	.145	.219	.245	.464	.100	.312	54	7	.202	13	-22	-1	+0	+2	+6	-1.4
2023	18	A	Lake Elsinore Storm	472	425	69	21	2	2	31	173	8	15	8	.162	.233	.235	.468	.073	.265	37	7	.211	20	-43	-0	+0	+5	+13	-2.5
2024	19	A	3 teams	503	446	77	17	2	9	47	186	5	7	4	.173	.259	.280	.539	.108	.268	37	9	.242	43	-32	-0	+0	+5	+14	-1.3
2025	20	A+	Fort Wayne TinCaps	490	424	63	10	2	10	52	203	11	6	3	.149	.259	.252	.511	.104	.248	41	11	.235	38	-34	+0	+0	+5	+14	-1.5
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Fort Wayne TinCaps	63	57	11	0	0	2	4	24	1	0	1	.193	.258	.298	.556	.105	.290	38	6	.225	30	-5	-0	+0	+1	+2	-0.3
ROS	21	MLB	SD	257	229	40	7	1	5	23	98	3	3	2	.175	.259	.279	.538	.105	.277	38	9	.249	49	-15	-0	+0	+3	+7	-0.5
TOT	21	MLB	SD	320	286	51	7	1	7	27	122	4	3	3	.178	.259	.283	.542	.105	.278	38	8	.244	45	-20	-1	+0	+3	+9	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	SD	554	490	94	17	2	12	52	173	7	7	4	.192	.279	.308	.587	.116	.264	31	9	.269	64	-22	-0	+0	+6	+16	-0.1
2028	23	MLB 28%	SD	599	528	105	19	2	15	58	181	8	8	4	.199	.288	.328	.616	.129	.267	30	10	.279	72	-19	+0	+0	+6	+17	0.4
2029	24	MLB 45%	SD	628	553	112	20	3	16	62	185	8	9	4	.203	.292	.336	.628	.134	.269	29	10	.286	77	-16	+0	+0	+7	+18	0.8
2030	25	MLB 60%	SD	645	567	116	21	3	17	65	188	8	9	5	.205	.295	.342	.637	.138	.270	29	10	.290	80	-15	-0	+0	+7	+18	1.1
2031	26	MLB 78%	SD	653	572	118	21	3	18	67	190	9	9	5	.206	.299	.348	.647	.142	.271	29	10	.291	81	-14	-0	+0	+7	+19	1.2
2032	27	MLB 92%	SD	653	571	118	21	3	18	68	191	9	9	4	.207	.301	.349	.649	.142	.271	29	10	.291	81	-14	+0	+0	+7	+19	1.2
2033	28	MLB	SD	648	567	115	21	2	17	68	191	8	8	4	.203	.297	.337	.634	.134	.270	29	10	.290	80	-14	+0	-1	+7	+18	1.0
2034	29	MLB	SD	638	558	112	20	2	17	67	190	8	7	4	.201	.295	.335	.631	.134	.269	30	11	.288	79	-15	-0	-1	+7	+18	0.8
2035	30	MLB	SD	628	549	110	20	2	16	66	189	8	6	3	.200	.295	.332	.627	.131	.268	30	11	.285	76	-17	+0	-2	+7	+18	0.6
2036	31	MLB	SD	613	536	105	19	2	15	64	187	8	3	3	.196	.291	.323	.614	.127	.266	31	10	.281	74	-18	-1	-3	+7	+17	0.2
2037	32	MLB	SD	595	521	101	18	2	14	62	184	7	1	3	.194	.288	.317	.605	.123	.264	31	10	.277	70	-20	-1	-4	+6	+17	-0.1
2038	33	MLB	SD	565	494	94	16	2	13	59	179	7	1	3	.190	.286	.310	.595	.119	.262	32	10	.271	66	-22	-1	-4	+6	+16	-0.5
2039	34	MLB	SD	517	452	83	14	2	11	54	168	6	1	2	.184	.279	.296	.576	.113	.260	32	10	.265	61	-23	-1	-5	+6	+15	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			9881	8682	1661	306	39	229	980	3176	132	114	69	.191	.283	.315	.598	.123	.269	32	10	.272	66	-376	-5	-20	+106	+280	-1.5
/ 162G	—			650	571	110	20	3	15	64	209	9	7	5	.193	.284	.317	.601	.124	.271	32	10	.272	66	-25	-1	-1	+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
2022	17	ROK	ACL Padres	195	167	42	7	4	7	22	69	2	3	4	.251	.346	.467	.813	.216	.368	35	11	.352	127	+6	-1	—	—	+6	1.1
2022	17	INTL	Tomateros de Culiacan	28	23	3	1	0	0	3	7	2	2	0	.130	.286	.174	.460	.043	.188	25	11	.238	40	-2	+0	—	—	+1	-0.1
2023	18	A	Lake Elsinore Storm	472	410	90	31	3	3	46	124	8	15	8	.220	.310	.332	.642	.112	.304	26	10	.290	80	-11	-0	—	—	+13	0.3
2024	19	A+	Fort Wayne TinCaps	109	97	18	6	1	1	9	32	1	1	0	.186	.262	.299	.561	.113	.266	29	8	.252	51	-6	+0	—	—	+3	-0.3
2024	19	A	Lake Elsinore Storm	372	312	78	18	2	9	54	102	3	6	3	.250	.366	.407	.773	.157	.338	27	15	.348	124	+10	+0	—	—	+11	2.1
2024	19	INTL	Tomateros de Culiacan	22	16	3	1	0	1	5	6	1	0	1	.188	.409	.438	.847	.250	.222	27	23	.386	154	+1	-0	—	—	+1	0.2
2025	20	A+	Fort Wayne TinCaps	490	404	83	15	3	13	72	158	11	6	3	.205	.341	.354	.695	.149	.297	32	15	.319	103	+1	+0	—	—	+14	1.6

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
Rosman Verdugo (OGILVIE)	21	25	40	45	60	.171/.258/.275	.104	.275	6	4	38%	9%	48	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rudy van Heydoorn 2010 · A	21	33	41→45	41→50	41	.168/.252/.259	.091	.262	9	8	37%	8%	41	-2.3	.197/.275/.307	.110	.307	11	5	36%	9%	63	-0.9	.204/.303/.338	.134	.292	14	2	32%	11%	83	+0.2
✕Payton Henry 2018 · A	21	40→31	41→45	46→30	38	.191/.255/.294	.102	.304	8	4	38%	7%	50	-1.7	.187/.253/.289	.102	.316	10	2	41%	6%	48	-1.9	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2
✕Alexander Mojica 2023 · A	20	35	42→45	47→40	40	.173/.252/.271	.099	.283	11	3	40%	8%	43	-2.2	.195/.277/.315	.120	.320	12	5	39%	9%	66	-0.6	.181/.278/.317	.136	.292	13	3	39%	10%	63	-0.3
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Jhostynxon Garcia 2023 · A	20	37→42	41→50	46→50	45	.182/.264/.278	.096	.277	8	8	35%	9%	50	-1.7	.199/.261/.332	.133	.287	14	10	34%	6%	63	-0.9	.207/.263/.362	.155	.281	19	10	33%	6%	68	-0.4
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	.174/.218/.256	.082	.253	7	7	34%	5%	23	-3.6	.191/.228/.286	.095	.265	7	9	29%	4%	35	-2.8	.233/.289/.308	.075	.313	4	8	25%	7%	63	-0.4
✕Joe DeCarlo 2016 · A	22	38	43→50	43→30	44	.184/.274/.291	.106	.280	10	3	35%	9%	59	-1.1	.196/.279/.333	.137	.278	16	2	33%	8%	71	-0.3	.192/.273/.343	.151	.263	18	1	33%	8%	68	-0.3
✕Jose Cordoba 2023 · A	20	37	40	44→55	39	.185/.250/.273	.088	.268	9	9	33%	6%	43	-2.2	.200/.257/.289	.089	.277	6	11	28%	6%	49	-1.8	.197/.256/.288	.091	.265	4	15	26%	6%	45	-0.8
✕Carson Blair 2012 · A	22	37	42→50	46→30	35	.178/.236/.279	.101	.318	10	4	45%	7%	38	-2.6	.189/.256/.311	.122	.305	11	5	39%	8%	55	-1.4	.192/.271/.336	.144	.315	14	1	40%	9%	65	-0.3
✕Franklin Tineo 2016 · A	21	37	38→45	41→50	46	.178/.258/.254	.076	.251	5	7	29%	8%	41	-2.3	.189/.262/.277	.088	.258	7	10	27%	8%	49	-1.8	.184/.261/.280	.096	.239	8	13	25%	8%	47	-0.7
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Aaron Bracho 2022 · A	21	34→38	44→45	44→40	41	.177/.247/.288	.112	.267	12	5	37%	8%	45	-2.1	.181/.246/.300	.119	.261	14	4	35%	7%	48	-1.9	.192/.255/.327	.134	.243	18	4	29%	7%	56	-0.7
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Pablo Aliendo 2022 · A	21	39	39→55	45	38	.187/.262/.267	.080	.297	7	7	37%	6%	46	-2.0	.206/.270/.329	.123	.302	14	5	35%	6%	66	-0.6	.198/.266/.346	.148	.288	18	5	36%	6%	65	-0.4
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕William Lugo 2022 · A	20	34→39	41→45	45	40	.171/.247/.262	.091	.274	9	6	39%	8%	39	-2.5	.190/.256/.307	.117	.274	13	4	34%	7%	54	-1.4	.173/.244/.287	.114	.243	13	4	33%	7%	42	-1.6
✕Freuddy Batista 2021 · A	21	39	42→50	47→40	35	.190/.245/.292	.102	.299	9	4	38%	6%	44	-2.1	.207/.272/.355	.148	.299	16	6	35%	7%	73	-0.1	.200/.269/.352	.152	.288	16	5	34%	6%	68	-0.2
✕Max George 2017 · A	21	38→37	41→45	48→55	42	.185/.267/.281	.095	.273	8	10	33%	8%	53	-1.5	.184/.259/.295	.111	.244	11	18	28%	7%	53	-1.5	.162/.248/.288	.126	.217	14	23	31%	7%	44	-1.3
✕Jose Meza 2023 · A	20	41→35	41→45	47→50	40	.199/.265/.295	.096	.286	9	10	32%	6%	55	-1.4	.204/.294/.305	.101	.301	9	8	32%	10%	70	-0.3	.186/.292/.283	.097	.277	9	10	33%	11%	63	-0.5
✕Willy Diaz 2015 · A	21	37	36→40	45→40	46	.174/.265/.241	.067	.259	4	5	32%	9%	42	-2.3	.187/.265/.267	.080	.304	5	4	37%	8%	47	-1.9	.184/.258/.270	.086	.308	5	2	39%	8%	42	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)