Alfonsin Rosario

Alfonsin RosarioOF Akron RubberDucks

Age 22 R/R 6'0" / 222 lbs AA K +5%HR +5% Svc 0.0 · Ctrl thru 2034 peak 0.9 · 2031

wRC+†69

AVG/OBP/SLG.194 / .268 / .346

PA320

HR10

SB6

K%37

BB%7

MLB%2%

Scouting · now → future

HIT

20↗32

PWR

40↗55

SPD

45↗49

FLD

30↗50

EYE

47↘40

trajectory · 10 yrs

1.0peak

2030

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+0.7	$3M	+$2M
2030	Arb-2	$0.9M	+0.8	$4M	+$3M
2031	Arb-3	$0.9M	+0.9	$4M	+$3M
2032	Ext / FA-deal	$2M	+0.7	$3M	+$2M
2033	Ext / FA-deal	$2M	+0.5	$2M	+$0.4M
2034	Ext / FA-deal	$2M	+0.3	$2M	-$0.5M
Totals		$8M		$18M	+$10M

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	19	ROK	ACL Cubs	33	30	5	1	0	0	2	12	1	4	0	.167	.242	.200	.442	.033	.278	36	6	.212	20	-3	+1	+0	-0	+1	-0.1
2024	20	A	Myrtle Beach Pelicans	456	404	65	12	2	13	35	211	13	20	5	.161	.250	.297	.547	.136	.283	46	8	.244	45	-28	+2	+0	-3	+13	-1.7
2025	21	A+	3 teams	543	490	97	17	3	18	39	191	12	16	3	.198	.274	.355	.629	.157	.279	35	7	.272	67	-20	+2	+0	-3	+15	-0.6
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Akron RubberDucks	48	45	7	1	0	4	2	27	1	1	0	.156	.208	.444	.653	.289	.214	56	4	.268	63	-2	+0	+0	-0	+1	-0.1
ROS	22	MLB	CLE	272	246	46	8	1	10	19	107	5	5	1	.187	.259	.350	.609	.163	.280	39	7	.277	70	-9	+1	-1	-2	+8	-0.3
TOT	22	MLB	CLE	320	291	53	9	1	14	21	134	6	6	1	.182	.252	.364	.616	.182	.271	42	7	.275	69	-11	+1	-1	-2	+9	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 12%	CLE	518	464	94	17	2	20	40	168	9	10	2	.203	.279	.377	.656	.175	.266	32	8	.293	82	-10	+1	-1	-3	+15	0.1
2028	24	MLB 27%	CLE	554	495	103	19	2	22	44	174	10	11	2	.208	.286	.388	.674	.180	.268	31	8	.299	87	-8	+1	-1	-3	+16	0.5
2029	25	MLB 44%	CLE	575	513	109	20	3	23	47	177	10	11	2	.212	.291	.398	.689	.185	.271	31	8	.304	91	-6	+1	-1	-3	+16	0.7
2030	26	MLB 59%	CLE	586	522	112	21	3	23	49	179	10	11	2	.215	.294	.398	.693	.184	.272	31	8	.306	92	-5	+1	-1	-4	+17	0.8
2031	27	MLB 77%	CLE	588	523	111	20	3	23	50	180	10	11	1	.212	.293	.394	.687	.182	.272	31	9	.306	92	-5	+2	-1	-4	+17	0.9
2032	28	MLB 84%	CLE	585	519	109	20	2	23	51	180	10	10	1	.210	.293	.389	.682	.179	.271	31	9	.305	92	-6	+2	-2	-4	+17	0.7
2033	29	MLB 91%	CLE	576	511	107	20	2	22	50	179	10	9	1	.209	.292	.386	.678	.176	.270	31	9	.303	90	-7	+1	-3	-3	+16	0.5
2034	30	MLB	CLE	566	502	104	19	2	22	49	178	10	9	0	.207	.291	.384	.675	.177	.268	31	9	.300	88	-8	+2	-3	-3	+16	0.3
2035	31	MLB	CLE	552	490	100	18	2	21	48	176	9	7	0	.204	.287	.378	.665	.173	.267	32	9	.296	85	-10	+1	-4	-3	+16	0.0
2036	32	MLB	CLE	534	474	95	17	2	19	46	173	9	6	0	.200	.284	.365	.649	.165	.265	32	9	.291	81	-11	+1	-5	-3	+15	-0.3
2037	33	MLB	CLE	504	448	89	16	2	18	43	167	8	5	0	.199	.281	.364	.644	.165	.263	33	9	.286	77	-13	+1	-5	-3	+14	-0.6
2038	34	MLB	CLE	458	409	78	14	2	15	39	155	7	5	0	.191	.273	.345	.617	.154	.261	34	9	.279	72	-15	+1	-6	-3	+13	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			7900	7040	1424	259	33	292	651	2607	143	150	20	.202	.283	.373	.656	.171	.271	33	8	.292	82	-164	+22	-34	-47	+224	-0.0
/ 162G	—			650	579	117	21	3	24	54	214	12	12	2	.202	.284	.373	.657	.171	.270	33	8	.292	82	-14	+2	-3	-4	+18	-0.0

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	19	ROK	ACL Cubs	33	28	7	1	0	0	4	8	1	4	0	.250	.364	.286	.649	.036	.350	24	12	.310	96	-0	+1	—	—	+1	0.2
2024	20	A	Myrtle Beach Pelicans	456	383	88	18	4	16	56	147	13	20	5	.230	.347	.423	.770	.193	.321	32	12	.344	121	+11	+2	—	—	+13	2.6
2025	21	AA	Akron RubberDucks	145	128	27	6	1	5	15	48	2	2	1	.211	.303	.391	.694	.180	.293	33	10	.312	97	-1	+0	—	—	+4	0.4
2025	21	A+	Lake County Captains	354	306	82	16	2	16	37	89	9	12	1	.268	.364	.490	.854	.222	.325	25	10	.376	146	+18	+2	—	—	+10	3.1
2025	21	INTL	Surprise Saguaros	44	37	4	0	0	0	6	15	1	2	1	.108	.250	.108	.358	.000	.182	34	14	.194	7	-5	+0	—	—	+1	-0.3

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
Alfonsin Rosario (OGILVIE)	22	20→32	40→55	45→49	40	.194/.268/.346	.153	.285	10	6	37%	7%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Canario 2022 · A	22	37→34	51→60	50	37	.200/.246/.359	.159	.282	20	14	36%	6%	63	-0.8	.212/.272/.410	.198	.294	26	14	36%	7%	88	+0.9	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
●Trayce Thompson 2013 · AAA	22	35→45	52→65	50	35	.189/.243/.352	.163	.277	20	10	39%	6%	60	-1.0	.195/.254/.339	.144	.275	16	14	34%	6%	62	-0.9	.209/.298/.431	.221	.291	31	7	37%	10%	102	+1.1
✕Rece Hinds 2023 · AA	22	39→43	49→60	50→55	33	.193/.248/.341	.149	.318	17	13	43%	6%	59	-1.1	.201/.251/.372	.171	.324	21	19	43%	5%	69	-0.4	.202/.251/.389	.186	.305	24	22	41%	5%	71	-0.2
✕Johan Mieses 2017 · A	22	37→32	51→55	46→50	36	.200/.247/.364	.164	.270	19	9	34%	5%	65	-0.7	.183/.234/.337	.154	.257	20	4	37%	5%	53	-1.5	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Yu Chang 2018 · AA	22	37→44	49→50	49→45	39	.195/.252/.345	.150	.266	17	9	33%	6%	63	-0.9	.209/.268/.346	.137	.291	14	7	32%	7%	69	-0.4	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
✕Wladimir Balentien 2007 · AA	23	40→45	53→55	48→50	38	.207/.266/.378	.171	.298	21	10	37%	7%	76	+0.1	.218/.278/.385	.167	.278	20	9	28%	7%	83	+0.6	.219/.279/.399	.180	.260	22	7	25%	7%	86	+0.6
✕Travis Demeritte 2018 · AA	23	37→43	48→60	48→50	38	.189/.250/.335	.146	.297	16	9	40%	7%	58	-1.2	.202/.267/.367	.165	.295	19	7	36%	8%	74	-0.1	.204/.271/.391	.188	.288	24	7	37%	8%	79	+0.2
✕Carlos Rincon 2021 · AA	23	37→39	50→55	46→45	40	.197/.265/.347	.151	.284	19	5	37%	7%	69	-0.4	.212/.263/.376	.164	.301	21	6	36%	6%	75	-0.0	.203/.253/.375	.171	.279	24	4	36%	5%	66	-0.3
✕Nelson Velázquez 2022 · AA	23	43→38	49→60	52→50	33	.214/.257/.358	.145	.326	17	12	39%	5%	67	-0.5	.208/.270/.393	.185	.289	25	14	36%	7%	82	+0.5	.200/.270/.389	.189	.255	26	12	33%	8%	79	+0.2
✕Michael Toglia 2022 · AA	23	38→37	49→55	49→45	41	.196/.267/.342	.146	.295	17	9	38%	8%	68	-0.5	.198/.271/.366	.168	.280	22	7	36%	9%	76	+0.0	.193/.273/.374	.181	.256	25	7	34%	9%	75	+0.0
●Christopher Morel 2022 · AAA	23	38→46	48→60	53→50	36	.199/.247/.340	.141	.285	16	15	35%	5%	58	-1.2	.223/.291/.421	.198	.297	25	12	33%	8%	98	+1.6	.224/.302/.431	.208	.280	28	10	30%	9%	102	+1.8
●Jeremiah Jackson 2023 · AA	23	38→48	50→55	48→55	41	.200/.261/.356	.156	.274	18	12	33%	7%	69	-0.4	.216/.264/.378	.162	.287	21	15	32%	6%	76	+0.0	.228/.269/.395	.167	.290	22	15	29%	5%	79	+0.2
✕Romy Gonzalez 2019 · A	22	39→44	46→55	53→55	34	.196/.247/.327	.132	.312	14	10	40%	6%	55	-1.4	.198/.251/.317	.119	.302	12	12	37%	6%	54	-1.4	.258/.302/.412	.153	.342	17	16	28%	5%	96	+0.7
✕Heriberto Hernández 2023 · A	23	39→45	52→55	45	40	.201/.277/.364	.164	.309	20	7	40%	8%	79	+0.3	.212/.291/.377	.165	.312	20	7	36%	9%	87	+0.8	.213/.297/.387	.174	.298	22	7	34%	10%	90	+0.8
✕Niko Hulsizer 2019 · A	22	44→30	47→60	51→50	42	.211/.300/.348	.138	.322	15	12	36%	8%	84	+0.6	.206/.285/.382	.176	.328	21	9	41%	8%	86	+0.8	.193/.269/.393	.200	.316	27	12	45%	8%	80	+0.2
✕Sean Coyle 2014 · A	22	36	48→50	54→50	37	.191/.251/.335	.144	.272	16	14	35%	6%	59	-1.1	.202/.261/.344	.142	.302	17	13	37%	7%	66	-0.6	.180/.244/.304	.124	.276	15	12	39%	7%	45	-1.1
●Jo Adell 2021 · MLB	22	43→44	49→65	50	37	.217/.269/.369	.152	.313	17	10	36%	6%	76	+0.0	.215/.266/.393	.178	.304	23	10	36%	6%	81	+0.4	.218/.285/.446	.228	.252	34	12	29%	7%	101	+1.4
✕Clint Frazier 2017 · AAA	22	45→46	46→55	49→50	41	.222/.281/.356	.133	.310	13	10	32%	7%	77	+0.1	.231/.288/.396	.165	.302	17	10	28%	7%	90	+1.0	.237/.308/.417	.181	.301	20	6	27%	8%	101	+0.9
✕Michael Chavis 2018 · AA	22	38→47	52→60	46→45	36	.207/.252/.373	.165	.272	21	4	32%	4%	69	-0.4	.235/.290/.418	.183	.313	24	5	32%	6%	97	+1.5	.239/.300/.427	.188	.323	26	5	33%	7%	99	+0.7
●Will Benson 2021 · A	23	33→43	50→55	52→55	44	.178/.260/.325	.147	.263	19	13	38%	10%	61	-1.0	.207/.302/.379	.172	.307	19	18	36%	11%	92	+1.2	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)