Ronny Mauricio — OGILVIE

Ronny Mauricio3B Syracuse Mets

INJURED · Injured 10-Day (D10)

Age 25 S/R 6'3" / 166 lbs AAA H +5%HR +3% Svc 3.000 · Ctrl thru 2028 peak 1.6 · 2028

wRC+†vL -53105vR 142

AVG/OBP/SLG.230 / .282 / .387

PA138

HR5

SB8

K%26

BB%6

MLB%45%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

40→40

EYE

47↘35

trajectory · 10 yrs

1.2peak

2028

Contract

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

Status Arb-1

MLB Debut 2023

Service 3.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+0.8	$3M	+$2M
2027	Arb-2	$5M	+1.5	$12M	+$8M
2028	Arb-3	$8M	+1.6	$14M	+$6M
Totals		$14M		$29M	+$16M

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
2018	17	ROK	Kingsport Mets	247	232	49	12	2	2	8	57	0	2	6	.211	.237	.306	.544	.095	.261	23	3	.239	41	-16	-2	+0	+1	+7	-1.1
2019	18	A	Columbia Fireflies	504	482	96	14	4	4	11	136	5	6	10	.199	.225	.270	.495	.071	.267	27	2	.213	21	-45	-3	+0	+2	+14	-3.2
2021	20	A+	3 teams	547	520	111	15	5	21	22	176	4	12	7	.213	.251	.383	.634	.169	.278	32	4	.269	64	-22	-0	+0	+2	+15	-0.5
2022	21	AA	2 teams	744	709	169	30	2	34	22	216	8	30	13	.238	.269	.430	.699	.192	.291	29	3	.295	84	-14	+1	+0	+3	+21	1.1
2023	22	AAA	3 teams	676	637	163	33	2	22	32	161	6	33	7	.256	.298	.418	.715	.162	.310	24	5	.308	94	-4	+4	+1	+2	+19	2.2
2025	24	MLB	5 teams	315	288	69	10	0	10	23	93	2	12	1	.240	.300	.378	.679	.139	.316	30	7	.303	90	-4	+2	+3	+1	+9	1.2
▸ 2026 Season (actual · ROS · total)
2026	25	AAA	Syracuse Mets	63	59	15	2	0	5	3	14	1	5	0	.254	.302	.542	.844	.288	.250	22	5	.344	121	+2	+1	+0	+0	+2	0.5
ROS	25	MLB	NYM	75	70	16	3	0	3	4	19	1	3	1	.229	.280	.400	.680	.171	.277	25	5	.305	92	-1	+0	+1	+0	+2	0.3
TOT	25	MLB	NYM	138	129	31	5	0	8	7	33	2	8	1	.240	.290	.465	.755	.225	.261	24	5	.323	105	+1	+1	+1	+0	+4	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 60%	NYM	376	347	81	14	1	14	23	90	3	15	3	.233	.287	.401	.687	.167	.275	24	6	.308	94	-3	+2	+4	+1	+11	1.5
2028	27	MLB 77%	NYM	392	361	85	15	1	15	25	94	3	15	3	.235	.290	.407	.698	.172	.275	24	6	.308	94	-3	+2	+4	+1	+11	1.6
2029	28	MLB 85%	NYM	400	368	86	15	1	15	26	97	3	15	3	.234	.290	.402	.692	.168	.275	24	6	.307	93	-3	+2	+3	+1	+11	1.5
2030	29	MLB 91%	NYM	396	364	85	15	1	15	26	97	3	14	3	.234	.290	.404	.694	.170	.274	24	7	.305	91	-4	+2	+3	+1	+11	1.3
2031	30	MLB	NYM	393	362	84	14	1	15	25	98	3	13	2	.232	.287	.401	.688	.169	.272	25	6	.302	89	-5	+2	+2	+1	+11	1.1
2032	31	MLB	NYM	378	348	80	14	1	14	24	96	3	11	2	.230	.285	.397	.682	.167	.271	25	6	.298	86	-6	+1	+1	+1	+11	0.9
2033	32	MLB	NYM	359	330	74	13	0	13	23	93	3	9	1	.224	.281	.382	.663	.158	.269	26	6	.293	82	-7	+1	+0	+1	+10	0.6
2034	33	MLB	NYM	329	302	66	11	0	11	21	87	3	7	0	.219	.276	.364	.640	.146	.268	26	6	.287	78	-8	+1	-1	+1	+9	0.3
2035	34	MLB	NYM	285	263	55	9	0	9	18	78	2	5	0	.209	.265	.346	.611	.137	.266	27	6	.280	73	-9	+1	-2	+1	+8	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			6416	5983	1369	237	21	217	333	1688	52	202	62	.229	.275	.384	.660	.155	.280	26	5	.288	79	-153	+16	+18	+23	+182	8.6
/ 162G	—			650	606	139	24	2	22	34	171	5	20	6	.229	.276	.384	.660	.155	.281	26	5	.288	79	-16	+2	+2	+2	+18	0.9

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
2018	17	ROK	Kingsport Mets	247	227	62	16	3	3	13	40	0	2	6	.273	.312	.410	.722	.137	.309	16	5	.311	96	-1	-2	—	—	+7	0.4
2019	18	A	Columbia Fireflies	504	470	126	20	5	4	23	99	5	6	10	.268	.309	.357	.667	.089	.330	20	5	.297	85	-8	-3	—	—	+14	0.3
2021	20	AA	Binghamton Rumble Ponies	33	31	10	1	0	1	2	11	0	2	0	.323	.364	.452	.815	.129	.474	33	6	.364	136	+1	+0	—	—	+1	0.3
2021	20	A+	Brooklyn Cyclones	420	392	95	14	5	19	24	101	3	9	7	.242	.291	.449	.740	.207	.278	24	6	.324	106	+3	-1	—	—	+12	1.4
2021	20	INTL	Tigres del Licey	94	90	22	5	0	2	3	21	1	1	0	.244	.277	.367	.643	.122	.299	22	3	.287	78	-2	+0	—	—	+3	0.1
2022	21	AA	Binghamton Rumble Ponies	541	509	132	26	2	26	24	125	4	20	11	.259	.298	.472	.769	.212	.293	23	4	.335	114	+9	-0	—	—	+15	2.4
2022	21	INTL	Tigres del Licey	203	188	54	15	2	5	10	43	4	10	2	.287	.337	.468	.805	.181	.348	21	5	.354	129	+7	+1	—	—	+6	1.4
2023	22	MLB	New York Mets	108	101	25	4	0	2	7	31	0	7	0	.248	.296	.347	.643	.099	.338	29	6	.291	81	-2	+1	+1	+2	+3	0.5
2023	22	AAA	Syracuse Mets	532	490	143	30	3	23	35	97	6	24	7	.292	.347	.506	.853	.214	.323	18	7	.374	144	+27	+2	—	—	+15	4.4
2023	22	INTL	Tigres del Licey	36	34	15	2	2	1	2	3	0	2	0	.441	.472	.706	1.178	.265	.467	8	6	.509	248	+6	+0	—	—	+1	0.8
2025	24	MLB	New York Mets	184	168	38	6	0	6	15	54	1	4	0	.226	.293	.369	.663	.143	.296	29	8	.298	87	-3	+1	+3	+1	+5	0.7
2025	24	AAA	Syracuse Mets	39	33	17	1	0	3	5	5	0	4	1	.515	.579	.818	1.397	.303	.538	13	13	.584	305	+9	+0	—	—	+1	1.1
2025	24	AA	Binghamton Rumble Ponies	18	17	2	2	0	0	1	7	0	0	0	.118	.167	.235	.402	.118	.200	39	6	.181	-3	-2	+0	—	—	+1	-0.2
2025	24	A	St. Lucie Mets	16	15	2	0	0	0	1	5	0	2	0	.133	.188	.133	.321	.000	.200	31	6	.157	-22	-2	+0	—	—	+0	-0.1
2025	24	INTL	Tigres del Licey	58	52	11	2	0	2	4	14	1	2	0	.212	.281	.365	.646	.154	.243	24	7	.286	77	-2	+0	—	—	+2	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			292	269	63	10	0	8	22	85	1	11	0	.234	.295	.361	.655	.126	.312	29	8	.296	84	-5	+2	+3	+4	+8	1.3

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
Ronny Mauricio (OGILVIE)	25	40	50	40	35	.230/.282/.387	.157	.282	5	5	26%	6%	86	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Clint Frazier 2020 · MLB	25	46	52→55	46→50	42	.234/.289/.410	.176	.294	19	7	27%	6%	94	+1.3	.222/.305/.377	.155	.299	17	8	30%	9%	93	+1.3	.190/.299/.313	.123	.279	14	9	34%	12%	72	-0.1
✕Taylor Trammell 2023 · MLB	25	42→46	53→55	49→55	46	.219/.294/.391	.172	.289	20	15	31%	9%	92	+1.2	.213/.302/.390	.177	.289	22	19	32%	10%	95	+1.4	.200/.298/.378	.178	.267	22	20	32%	11%	90	+0.6
●Luis Rengifo 2022 · MLB	25	45→55	46→50	47→55	48	.227/.289/.357	.130	.269	15	12	22%	7%	80	+0.4	.254/.302/.402	.148	.288	18	13	18%	6%	98	+1.6	.267/.318/.414	.147	.301	17	16	17%	6%	105	+1.6
✕Isan Díaz 2021 · MLB	25	41→40	50→55	45	43	.213/.280/.364	.151	.286	18	8	31%	8%	79	+0.3	.209/.286/.369	.160	.277	20	7	31%	9%	83	+0.6	.191/.269/.374	.183	.233	28	8	32%	9%	74	-0.0
✕Joe Borchard 2004 · MLB	25	45→44	50→55	44→45	44	.230/.292/.377	.147	.306	18	8	30%	8%	87	+0.8	.220/.283/.387	.167	.274	23	6	28%	8%	86	+0.8	.229/.297/.398	.169	.286	24	5	28%	8%	91	+0.7
✕Wladimir Balentien 2009 · MLB	25	40→45	53→55	45→50	44	.214/.275/.384	.170	.264	22	9	28%	7%	82	+0.5	.229/.287/.402	.173	.277	21	9	25%	7%	92	+1.2	.234/.292/.410	.176	.278	21	10	24%	7%	95	+0.9
✕Abraham Toro 2022 · MLB	25	49→54	49→50	45	50	.245/.320/.397	.152	.277	17	8	18%	8%	104	+2.0	.231/.295/.373	.142	.266	15	9	19%	7%	87	+0.8	.242/.302/.379	.137	.289	13	7	20%	7%	88	+0.7
✕Blake Tekotte 2012 · MLB	25	44→46	50	52→55	47	.225/.293/.380	.155	.283	17	23	27%	8%	89	+0.9	.203/.260/.335	.132	.279	13	17	31%	6%	63	-0.9	.194/.258/.314	.119	.261	10	10	28%	6%	53	-0.8
✕DJ Stewart 2020 · MLB	26	44→48	52→60	47→50	48	.231/.303/.398	.167	.271	20	12	23%	8%	98	+1.6	.223/.320/.400	.177	.277	22	7	27%	11%	105	+2.1	.212/.318/.409	.197	.253	28	2	28%	11%	104	+0.9
●Tom Murphy 2016 · MLB	25	38→35	52→65	43→45	37	.203/.257/.368	.166	.281	21	5	35%	6%	71	-0.3	.211/.255/.384	.173	.307	20	5	37%	5%	74	-0.1	.244/.316/.459	.215	.308	30	2	30%	9%	117	+1.2
✕Michael Massey 2023 · MLB	25	46→49	53→55	52→50	42	.238/.291/.409	.171	.287	20	12	25%	6%	95	+1.4	.237/.282/.391	.154	.275	19	8	21%	5%	86	+0.8	.234/.274/.375	.141	.263	18	5	18%	4%	76	+0.0
✕J.R. Towles 2009 · MLB	25	46→52	48→50	44→50	46	.232/.304/.375	.143	.266	16	11	20%	6%	92	+1.2	.216/.298/.347	.131	.255	13	9	20%	7%	82	+0.5	.201/.285/.311	.110	.235	10	6	18%	7%	64	-0.3
✕Matthew Brown 2009 · MLB	26	45→48	52→55	41→45	42	.233/.285/.404	.170	.291	19	6	27%	6%	91	+1.1	.207/.262/.348	.141	.272	15	6	29%	6%	67	-0.5	.183/.241/.305	.122	.246	13	4	31%	6%	44	-1.1
●Scott Moore 2008 · MLB	24	44→51	52→55	45→50	41	.224/.288/.393	.169	.305	20	10	33%	7%	90	+1.0	.219/.279/.370	.151	.276	17	7	27%	6%	80	+0.4	.237/.304/.380	.142	.292	16	5	23%	7%	90	+0.7
✕Danny Espinosa 2012 · MLB	25	45→51	52→55	50	45	.232/.303/.399	.167	.294	19	17	28%	7%	98	+1.6	.223/.287/.364	.141	.303	14	14	30%	6%	82	+0.5	.213/.294/.365	.152	.278	19	10	29%	8%	75	-0.0
✕Andrew Navigato 2023 · AA	25	41→40	49→60	49→50	43	.215/.280/.362	.147	.267	18	14	26%	6%	79	+0.3	.220/.278/.391	.171	.278	20	15	28%	6%	85	+0.7	.210/.269/.389	.179	.270	21	17	30%	6%	77	+0.1
●Moisés Sierra 2014 · MLB	25	49→56	48→50	47→50	40	.244/.294/.386	.142	.311	16	11	27%	5%	90	+1.0	.245/.293/.364	.119	.320	11	14	26%	5%	83	+0.6	.250/.316/.378	.129	.306	14	15	22%	7%	94	+1.0
✕Chance Sisco 2020 · MLB	25	45→55	49→50	41→40	43	.224/.308/.369	.145	.304	17	3	30%	8%	92	+1.2	.211/.305/.361	.150	.284	17	4	30%	9%	89	+1.0	.177/.284/.310	.133	.243	14	0	31%	10%	65	-0.2
✕Donnie Murphy 2008 · MLB	25	44→41	50→60	45	42	.228/.276/.386	.158	.273	17	7	24%	5%	82	+0.5	.223/.277/.399	.176	.290	21	7	30%	6%	87	+0.8	.212/.275/.414	.202	.248	25	2	26%	6%	85	+0.3
✕Preston Tucker 2016 · MLB	26	44→45	53→55	41→40	44	.235/.284/.404	.169	.272	22	3	23%	6%	91	+1.1	.217/.269/.375	.158	.262	19	3	25%	6%	77	+0.1	.232/.307/.388	.157	.271	17	1	21%	8%	95	+0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)