Guillermo Rosario

Guillermo RosarioC Clearwater Threshers

Age 21 R/R 6'2" / 190 lbs A HR +11%H +4% Svc 0.0 · Ctrl thru 2036 peak 1.7 · 2031

wRC+†62

AVG/OBP/SLG.196 / .271 / .312

PA150

HR3

K%33

BB%8

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

37↗42

SPD

44↗49

EYE

49↗54

trajectory · 10 yrs

1.8peak

2032

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	+1.7	$16M	+$15M
2032	Ext / FA-deal	$0.9M	+1.7	$16M	+$15M
2033	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2034	Ext / FA-deal	$3M	+1.5	$15M	+$12M
2035	Ext / FA-deal	$4M	+1.2	$13M	+$8M
2036	Ext / FA-deal	$4M	+0.9	$5M	+$0.4M
Totals		$14M		$81M	+$67M

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
2023	18	ROK	DSL Phillies White	112	97	20	4	0	0	12	28	3	2	1	.206	.312	.247	.560	.041	.290	25	11	.260	57	-5	+0	+0	+2	+3	-0.0
2024	19	ROK	2 teams	240	214	33	6	1	4	16	93	5	2	1	.154	.230	.248	.477	.093	.238	39	7	.214	22	-21	+0	+0	+4	+7	-1.0
2025	20	A	2 teams	159	142	15	1	0	2	13	66	2	2	0	.106	.191	.155	.346	.049	.171	42	8	.160	-19	-21	+0	+0	+3	+5	-1.4
▸ 2026 Season
2026	21	MLB	PHI	150	135	27	5	1	3	12	50	2	2	1	.200	.275	.319	.594	.119	.282	33	8	.266	62	-6	+0	+0	+3	+4	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	PHI	237	211	44	8	1	6	21	74	3	4	1	.209	.289	.341	.631	.133	.284	31	9	.280	73	-7	+0	+0	+4	+7	0.4
2028	23	MLB 28%	PHI	341	303	65	12	2	9	31	103	4	6	1	.215	.296	.356	.652	.142	.285	30	9	.289	80	-8	+1	+0	+6	+10	0.9
2029	24	MLB 45%	PHI	413	367	78	14	2	11	38	122	5	8	2	.213	.295	.351	.647	.139	.286	30	9	.295	84	-7	+1	+0	+7	+12	1.3
2030	25	MLB 60%	PHI	453	402	87	16	2	13	43	132	5	8	2	.216	.300	.363	.663	.147	.287	29	9	.299	87	-7	+1	+0	+8	+13	1.5
2031	26	MLB 77%	PHI	477	423	92	17	2	14	46	139	5	9	2	.217	.302	.366	.668	.149	.287	29	10	.301	88	-6	+1	+0	+9	+14	1.7
2032	27	MLB 92%	PHI	487	430	93	17	2	14	48	143	6	9	2	.216	.304	.363	.667	.147	.287	29	10	.301	88	-6	+1	+0	+9	+14	1.7
2033	28	MLB	PHI	488	431	93	17	2	14	48	144	6	8	1	.216	.303	.362	.665	.146	.287	30	10	.300	88	-7	+1	-1	+9	+14	1.7
2034	29	MLB	PHI	482	426	92	17	2	14	48	144	5	8	1	.216	.303	.364	.667	.148	.286	30	10	.298	86	-8	+1	-1	+9	+14	1.5
2035	30	MLB	PHI	474	419	89	16	2	13	47	143	5	8	1	.212	.299	.353	.653	.141	.284	30	10	.294	84	-9	+1	-2	+8	+13	1.2
2036	31	MLB	PHI	448	396	83	15	2	12	44	137	5	6	0	.210	.297	.348	.645	.139	.283	31	10	.291	81	-10	+1	-3	+8	+13	0.9
2037	32	MLB	PHI	417	369	77	14	2	11	41	130	4	5	0	.209	.295	.347	.642	.138	.281	31	10	.286	77	-11	+1	-4	+7	+12	0.6
2038	33	MLB	PHI	378	334	67	12	1	9	37	120	4	5	0	.201	.288	.323	.611	.123	.279	32	10	.281	73	-12	+1	-4	+7	+11	0.3
2039	34	MLB	PHI	326	288	57	10	1	8	32	106	3	4	0	.198	.285	.323	.608	.125	.277	33	10	.274	68	-12	+1	-5	+6	+9	-0.1
2040	35	MLB	PHI	269	238	46	8	1	6	26	90	3	4	0	.193	.281	.311	.592	.118	.275	33	10	.267	62	-11	+1	-6	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6351	5625	1158	209	26	163	603	1964	75	100	16	.206	.291	.339	.630	.133	.282	31	9	.284	76	-175	+14	-25	+113	+180	10.9
/ 162G	—			650	576	119	21	3	17	62	201	8	10	2	.207	.293	.342	.635	.135	.283	31	10	.284	76	-18	+1	-3	+12	+18	1.1

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
2023	18	ROK	DSL Phillies White	112	91	24	5	0	0	18	18	3	2	1	.264	.402	.319	.720	.055	.329	16	16	.343	120	+3	+0	—	—	+3	0.6
2024	19	A	Clearwater Threshers	39	36	7	0	0	1	1	12	1	0	0	.194	.237	.278	.515	.083	.250	31	3	.229	34	-3	+0	—	—	+1	-0.2
2024	19	ROK	FCL Phillies	201	169	40	9	2	4	24	55	4	2	1	.237	.345	.385	.730	.148	.316	27	12	.325	107	+2	+0	—	—	+6	0.7
2025	20	A	Clearwater Threshers	96	87	10	0	0	1	8	38	0	0	0	.115	.189	.149	.339	.034	.184	40	8	.165	-16	-13	+0	—	—	+3	-1.0
2025	20	ROK	FCL Phillies	63	50	9	1	0	1	10	11	2	2	0	.180	.339	.260	.599	.080	.205	17	16	.288	79	-2	+0	—	—	+2	0.1

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
Guillermo Rosario (OGILVIE)	21	20→25	37→42	44→49	54	.196/.271/.312	.116	.282	3	2	33%	8%	62	-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
✕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
✕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
✕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
✕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
✕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
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕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
✕Sean Coyle 2013 · A	21	37→36	45→50	54→50	38	.192/.253/.319	.127	.271	12	13	33%	6%	56	-1.3	.204/.262/.355	.151	.295	18	14	36%	6%	69	-0.4	.197/.258/.362	.165	.284	22	15	38%	7%	67	-0.3
✕Kevin Padlo 2017 · A	21	37→40	47→55	46→50	48	.191/.279/.329	.137	.266	14	9	32%	10%	70	-0.3	.188/.272/.324	.136	.273	14	8	34%	9%	66	-0.6	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Yassel Pino 2023 · A	21	40	46→45	46→40	46	.200/.276/.328	.128	.283	14	7	33%	9%	68	-0.5	.196/.262/.308	.112	.263	11	6	28%	7%	56	-1.3	.183/.249/.288	.105	.238	11	5	27%	7%	43	-1.0
✕Jakson Reetz 2017 · A	21	43→34	39→60	47→45	44	.201/.284/.294	.093	.288	6	7	30%	8%	63	-0.8	.196/.270/.295	.099	.288	9	5	33%	7%	57	-1.2	.197/.277/.397	.201	.245	26	4	31%	7%	84	+0.3
✕Yu Chang 2017 · A	21	41→44	45→50	49→45	39	.206/.256/.333	.127	.283	12	8	31%	6%	60	-1.0	.202/.261/.347	.145	.281	16	8	33%	6%	66	-0.6	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
✕Adam Zebrowski 2023 · A	22	41→33	45	50→40	45	.202/.279/.325	.123	.286	12	5	32%	9%	69	-0.4	.185/.246/.306	.121	.280	14	4	37%	7%	50	-1.8	.171/.225/.285	.114	.259	15	2	39%	5%	32	-1.9
✕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
✕Tyler Kolodny 2010 · A	22	40→34	44→45	49→50	40	.200/.267/.320	.119	.267	12	8	29%	6%	63	-0.9	.206/.277/.341	.135	.271	14	9	29%	6%	72	-0.2	.206/.284/.354	.148	.258	17	10	26%	5%	76	+0.0
✕Sherten Apostel 2020 · A	21	37→32	47→50	44→40	45	.194/.269/.328	.134	.267	16	4	33%	9%	66	-0.6	.198/.261/.326	.128	.305	15	4	38%	7%	61	-1.0	.191/.253/.324	.132	.303	16	0	40%	6%	54	-0.7
✕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
✕Cristian Santana 2023 · A	19	38→20	45	46→45	47	.187/.304/.312	.125	.282	13	11	35%	10%	78	+0.2	.156/.295/.274	.118	.251	13	7	39%	13%	66	-0.6	.123/.282/.246	.123	.185	16	4	39%	15%	54	-0.8
✕Johan Mieses 2016 · A	21	41→32	45→55	53→50	39	.208/.253/.334	.126	.273	12	15	28%	5%	59	-1.1	.188/.236/.349	.161	.267	20	5	37%	5%	56	-1.3	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)