Jeffry Rosa — OGILVIE

Jeffry RosaOF FCL Mets

Age 21 R/R 6'1" / 190 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 0.8 · 2031

wRC+†68

AVG/OBP/SLG.191 / .276 / .324

PA140

HR4

K%36

BB%8

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

39↗44

SPD

45↗50

EYE

44↗49

trajectory · 10 yrs

0.8peak

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	+0.8	$4M	+$3M
2033	Ext / FA-deal	$1.0M	+0.7	$3M	+$2M
2034	Ext / FA-deal	$1.0M	+0.6	$3M	+$2M
2035	Ext / FA-deal	$0.6M	+0.4	$2M	+$1M
2036	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$12M	+$7M

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	DSL Mets 2	112	101	12	3	0	2	4	68	7	3	1	.119	.205	.208	.413	.089	.323	61	4	.176	-7	-14	+0	+0	-1	+3	-1.1
2023	18	ROK	DSL Mets Orange	182	157	28	9	0	9	9	69	15	1	1	.178	.287	.408	.695	.229	.237	38	5	.287	78	-5	-0	+0	-1	+5	-0.1
2024	19	A	2 teams	226	195	20	2	0	3	18	114	12	4	1	.103	.222	.159	.381	.056	.215	50	8	.188	2	-25	+0	+0	-1	+6	-2.0
2025	20	ROK	FCL Mets	147	132	16	4	0	3	6	61	8	0	1	.121	.205	.220	.425	.098	.188	41	4	.188	2	-16	-0	+0	-1	+4	-1.4
▸ 2026 Season
2026	21	MLB	NYM	140	124	25	5	1	4	11	50	4	2	1	.202	.288	.355	.643	.153	.285	36	8	.275	68	-5	+0	+0	-1	+4	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	NYM	230	203	42	8	1	7	19	78	6	4	1	.207	.294	.360	.653	.153	.286	34	8	.288	78	-6	+0	+0	-1	+7	-0.0
2028	23	MLB 28%	NYM	335	295	61	12	1	10	29	109	8	6	2	.207	.295	.356	.651	.149	.287	33	9	.296	85	-6	+0	+0	-2	+9	0.2
2029	24	MLB 45%	NYM	408	359	76	14	2	13	37	130	9	8	2	.212	.301	.370	.672	.159	.288	32	9	.302	89	-5	+1	+0	-2	+12	0.5
2030	25	MLB 60%	NYM	450	396	85	16	2	15	41	141	10	9	2	.215	.304	.379	.683	.164	.289	31	9	.305	92	-4	+1	+0	-3	+13	0.7
2031	26	MLB 77%	NYM	474	416	89	17	2	15	44	149	11	9	2	.214	.306	.373	.678	.159	.289	31	9	.307	93	-4	+1	+0	-3	+13	0.8
2032	27	MLB 92%	NYM	484	424	91	17	2	16	46	152	11	9	2	.215	.308	.377	.685	.163	.289	31	10	.307	93	-4	+1	+0	-3	+14	0.8
2033	28	MLB	NYM	486	425	91	17	2	16	47	154	11	9	2	.214	.308	.376	.685	.162	.289	32	10	.306	92	-4	+1	-1	-3	+14	0.7
2034	29	MLB	NYM	480	420	88	16	2	15	46	153	11	8	1	.210	.304	.364	.668	.155	.288	32	10	.304	91	-5	+1	-1	-3	+14	0.6
2035	30	MLB	NYM	472	412	87	16	2	15	46	152	11	8	1	.211	.307	.369	.676	.158	.286	32	10	.301	88	-6	+1	-2	-3	+13	0.4
2036	31	MLB	NYM	460	403	83	15	2	14	44	151	10	6	0	.206	.300	.357	.657	.151	.285	33	10	.297	85	-8	+1	-3	-3	+13	0.1
2037	32	MLB	NYM	442	387	78	14	2	13	42	147	10	6	0	.202	.296	.349	.645	.147	.283	33	10	.292	82	-9	+1	-4	-3	+13	-0.2
2038	33	MLB	NYM	413	362	71	13	1	12	39	140	9	5	0	.196	.290	.337	.627	.141	.281	34	9	.287	78	-10	+1	-4	-2	+12	-0.4
2039	34	MLB	NYM	368	322	62	11	1	10	35	128	8	5	0	.193	.288	.326	.614	.134	.279	35	10	.280	73	-11	+1	-5	-2	+10	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6309	5533	1105	209	23	192	563	2146	171	102	20	.200	.293	.350	.643	.150	.283	34	9	.289	80	-146	+12	-20	-38	+179	-1.3
/ 162G	—			650	570	114	22	2	20	58	221	18	11	2	.200	.294	.351	.645	.151	.283	34	9	.289	80	-15	+1	-2	-4	+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	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	DSL Mets 2	112	97	21	6	3	7	47	7	3	1	.216	.312	.371	.684	.155	.383	42	6	.311	96	-0	+0	—	—	+3	0.3
2023	18	ROK	DSL Mets Orange	182	148	41	13	15	16	46	15	1	1	.277	.398	.669	1.067	.392	.295	25	9	.450	202	+21	-0	—	—	+5	2.7
2024	19	A	St. Lucie Mets	169	141	21	3	3	16	59	11	2	1	.149	.286	.234	.520	.085	.225	35	9	.254	53	-9	+0	—	—	+5	-0.4
2024	19	ROK	FCL Mets	57	45	8	0	1	11	20	1	2	0	.178	.351	.244	.595	.067	.292	35	19	.295	84	-1	+0	—	—	+2	0.1
2025	20	ROK	FCL Mets	147	128	23	7	4	10	43	8	0	1	.180	.281	.328	.609	.148	.232	29	7	.279	72	-5	-0	—	—	+4	-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
Jeffry Rosa (OGILVIE)	21	20→25	39→44	45→50	49	.191/.276/.324	.133	.285	4	2	36%	8%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Canario 2021 · A	21	43→34	49→60	48→50	40	.217/.277/.364	.147	.303	17	8	33%	7%	77	+0.1	.205/.259/.386	.181	.288	24	14	36%	7%	76	+0.1	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
✕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
✕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
✕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
●Will Benson 2019 · A	21	30→40	47→55	47→55	44	.163/.256/.291	.128	.251	16	9	40%	10%	51	-1.7	.179/.262/.333	.154	.273	19	14	39%	10%	64	-0.8	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4
✕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
✕Clint Frazier 2016 · A	21	44→46	44→55	47→50	40	.213/.274/.332	.119	.314	11	9	34%	7%	68	-0.5	.227/.285/.378	.151	.308	15	11	30%	7%	84	+0.6	.237/.308/.417	.181	.301	20	6	27%	8%	101	+0.9
✕Brian Sanchez 2017 · A	21	42	48→60	46→45	37	.209/.270/.353	.143	.308	16	5	36%	6%	72	-0.2	.194/.247/.306	.112	.300	11	4	37%	6%	49	-1.8	.135/.188/.204	.069	.221	4	0	39%	6%	-5	-1.0
●Jordy Lara 2012 · A	21	34→44	44→55	44→40	42	.176/.250/.292	.116	.261	12	5	36%	8%	48	-1.9	.211/.259/.346	.135	.274	15	3	28%	5%	65	-0.7	.238/.285/.390	.152	.294	15	1	24%	5%	85	+0.6
✕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
✕Allan Cerda 2021 · A	21	44→24	42→55	47→45	42	.213/.292/.320	.108	.301	10	6	31%	7%	73	-0.1	.189/.282/.362	.173	.292	20	5	40%	9%	80	+0.4	.158/.266/.332	.174	.243	22	5	42%	10%	64	-0.5
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕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
✕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
●Aristides Aquino 2015 · A	21	36→40	46→65	49→50	35	.190/.230/.319	.130	.259	13	10	32%	4%	45	-2.1	.201/.240/.341	.140	.267	15	9	30%	4%	55	-1.4	.218/.283/.452	.234	.267	35	9	33%	7%	98	+1.0
✕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
✕Jose Carlos Urena 2016 · A	21	38	45	48→30	36	.191/.246/.315	.124	.288	12	5	37%	6%	51	-1.7	.210/.264/.318	.108	.325	12	3	37%	6%	59	-1.1	.188/.254/.298	.110	.290	16	0	39%	7%	50	-0.6
✕Rodolfo Nolasco 2023 · A	21	42→32	47→50	46→45	39	.195/.269/.331	.136	.340	15	6	44%	9%	66	-0.6	.176/.262/.312	.136	.340	16	8	48%	9%	59	-1.1	.151/.246/.287	.135	.296	17	9	50%	10%	44	-1.4
✕Carlos Rincon 2019 · A	21	36→39	52→55	47→45	38	.194/.256/.355	.161	.287	21	6	39%	7%	66	-0.6	.196/.258/.351	.155	.287	20	5	37%	7%	67	-0.5	.186/.241/.344	.158	.264	22	3	38%	6%	54	-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

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)