Roniel Paulino — OGILVIE

Roniel PaulinoC DSL Brewers Blue

Age 18 R/R 5'10" / 182 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION50 act + 5 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.200 / .200 / .200

PA5

HR0

K%20

BB%7

BABIP282

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$27M ctrl surplus

Tools · Contract

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	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.3M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	17	ROK	DSL Brewers Gold	—	51	42	8	2	0	1	9	5	0	2	1	190	333	310	643	119	194	10	18	303	91	-1	+0	—	—	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Brewers Gold	—	51	46	7	2	0	1	5	8	0	2	1	152	235	261	496	109	154	16	10	214	31	-4	+0	—	—	+1	-0.3
2025	17	ROK MLE	DSL Brewers Gold	—	51	46	7	2	0	1	5	8	0	2	1	152	235	261	496	109	162	16	10	214	31	—	—	—	—	—	—
2025	17	ROK RAW	DSL Brewers Gold	—	51	42	8	2	0	1	9	5	0	2	1	190	333	310	643	119	194	10	18	303	31	—	—	—	—	—	—
2025	17	ROK MLE	DSL Brewers Gold	—	51	46	7	2	0	1	5	8	0	2	1	152	235	261	496	109	154	16	10	214	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Brewers Gold	—	51	46	7	2	0	1	5	8	0	2	1	152	235	261	496	109	154	16	10	214	31	—	—	—	—	—	—
YTD	18	ROK MLE	MIL	—	50	49	9	2	0	0	1	12	0	0	0	184	200	224	424	41	243	24	2	188	13	-5	+0	+0	+1	+1	-0.3
▸ 2026 season
YTD	18	ROK RAW	MIL	—	50	48	12	3	0	0	2	8	0	0	0	250	280	312	593	62	300	16	4	268	13	—	—	—	—	—	—
ROS	18	ROK MLE	MIL	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		284	20	0	261	63	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	MIL	—	55	54	10	2	0	0	1	13	0	0	0	185	200	222	422	37	244	24	2	195	18	-5	+0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIL	34%	148	136	31	6	1	2	10	34	1	2	0	228	286	331	617	103	286	23	7	272	70	-5	+0	+0	+3	+3	0.1
2028	20	MLB MLE	MIL	48%	296	271	62	12	2	4	20	68	3	3	1	229	289	332	621	103	288	23	7	280	76	-9	+0	+0	+5	+6	0.3
2029	21	MLB MLE	MIL	54%	411	375	87	17	2	7	29	94	4	4	1	232	294	344	638	112	289	23	7	286	79	-10	+0	+0	+7	+9	0.7
2030	22	MLB MLE	MIL	57%	493	450	106	20	3	9	35	112	5	5	1	236	298	353	651	118	290	23	7	289	82	-11	+1	+0	+9	+11	1.0
2031	23	MLB MLE	MIL	58%	520	473	111	21	3	9	37	118	5	5	2	235	297	349	646	114	291	23	7	291	83	-10	+0	+0	+9	+11	1.1
2032	24	MLB MLE	MIL	57%	520	473	112	21	3	10	37	117	5	5	2	237	299	357	656	121	292	22	7	293	85	-10	+0	+0	+9	+11	1.1
2033	25	MLB MLE	MIL	57%	520	473	112	21	3	10	37	117	5	5	2	237	299	357	656	121	292	22	7	294	85	-9	+0	+0	+9	+11	1.2
2034	26	MLB MLE	MIL	57%	520	473	112	21	3	10	37	117	5	5	2	237	299	357	656	121	292	22	7	295	86	-9	+0	+0	+9	+11	1.2
2035	27	MLB MLE	MIL	55%	520	472	112	21	3	10	38	118	5	5	2	237	301	358	659	121	292	23	7	295	86	-9	+0	+0	+9	+11	1.2
2036	28	MLB MLE	MIL	55%	520	472	112	21	3	10	38	118	5	5	1	237	301	358	659	121	291	23	7	294	85	-9	+1	-1	+9	+11	1.1
2037	29	MLB MLE	MIL	53%	520	471	111	21	3	10	39	119	5	5	1	236	301	357	658	121	290	23	8	292	84	-10	+1	-1	+9	+11	1.0
2038	30	MLB MLE	MIL	53%	520	471	109	21	2	9	39	121	5	4	1	231	297	342	639	110	289	23	8	289	82	-11	+0	-2	+9	+11	0.8
2039	31	MLB MLE	MIL	52%	504	457	105	20	2	9	37	119	5	4	1	230	295	341	636	112	287	24	7	285	79	-13	+0	-3	+9	+11	0.5
2040	32	MLB MLE	MIL	52%	489	445	99	18	2	8	36	117	5	3	1	222	288	326	614	103	284	24	7	279	75	-14	+0	-4	+9	+11	0.2
2041	33	MLB MLE	MIL	56%	473	431	94	17	2	7	35	116	4	2	1	218	283	316	599	97	280	25	7	273	71	-17	+0	-4	+8	+10	-0.2
2027	19	MLB CTX	MIL	34%	51	48	11	2	0	1	3	12	0	1	0	229	275	333	608	104	284	24	6	266	70	-2	+0	+0	+1	+1	0.0
2028	20	MLB CTX	MIL	48%	143	131	30	6	1	2	10	33	1	1	0	229	289	336	625	107	286	23	7	273	76	-4	+0	+0	+3	+3	0.2
2029	21	MLB CTX	MIL	54%	223	203	47	9	1	4	16	51	2	2	1	232	294	345	639	113	287	23	7	278	79	-5	+0	+0	+4	+5	0.3
2030	22	MLB CTX	MIL	57%	279	254	59	11	1	5	20	63	3	3	1	232	296	343	639	110	288	23	7	282	82	-6	+0	+0	+5	+6	0.5
2031	23	MLB CTX	MIL	58%	299	273	65	12	2	6	21	68	3	3	1	238	300	363	662	125	289	23	7	284	83	-6	+0	+0	+5	+6	0.6
2032	24	MLB CTX	MIL	57%	296	270	64	12	2	6	21	67	3	3	1	237	299	363	662	126	290	23	7	286	85	-5	+0	+0	+5	+6	0.7
2033	25	MLB CTX	MIL	57%	295	269	64	12	2	6	21	67	3	3	1	238	300	364	665	126	290	23	7	287	85	-5	+0	+0	+5	+6	0.7
2034	26	MLB CTX	MIL	57%	294	268	64	12	2	6	21	66	3	3	1	239	301	366	667	127	290	22	7	288	86	-5	+0	+0	+5	+6	0.7
2035	27	MLB CTX	MIL	55%	289	263	62	12	1	6	21	65	3	3	1	236	300	357	657	122	290	22	7	288	86	-5	+0	+0	+5	+6	0.7
2036	28	MLB CTX	MIL	55%	286	260	61	11	1	6	21	65	3	3	1	235	299	354	653	119	289	23	7	287	85	-5	+0	-0	+5	+6	0.6
2037	29	MLB CTX	MIL	53%	278	252	58	11	1	5	21	64	3	3	1	230	297	341	638	111	289	23	8	285	84	-5	+0	-1	+5	+6	0.5
2038	30	MLB CTX	MIL	53%	274	249	57	11	1	5	20	64	3	2	1	229	294	341	635	112	287	23	7	282	82	-6	+0	-1	+5	+6	0.4
2039	31	MLB CTX	MIL	52%	263	238	54	10	1	5	20	62	3	2	1	227	295	340	635	113	285	24	8	278	79	-7	+0	-1	+5	+6	0.2
2040	32	MLB CTX	MIL	52%	254	231	51	9	1	4	19	61	2	2	0	221	286	320	606	100	282	24	7	273	75	-7	+0	-2	+5	+6	0.1
2041	33	MLB CTX	MIL	56%	265	242	52	9	1	4	19	65	2	1	0	215	278	310	587	95	278	25	7	266	71	-9	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3789	3451	799	149	18	71	274	873	37	35	11	232	295	347	642	115	289	23	7	282	81	-84	+3	-8	+68	+82	6.2
/ 162G	—	A+C		—	650	592	137	26	3	12	47	150	6	6	2	231	294	346	640	115	289	23	7	282	81	-14	+0	-1	+12	+14	1.1
Career	—	MLE		—	7030	6394	1483	280	37	125	509	1614	67	64	20	232	295	346	641	114	289	23	7	288	81	-155	+5	-15	+125	+151	11.3
/ 162G	—	MLE		—	650	591	137	26	3	12	47	149	6	6	2	232	295	347	641	115	289	23	7	288	81	-14	+0	-1	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.8	3,844	68	35	233	293	347	+69	+36	9.1	7.5
/162	664	12	6	+11.9	+6.2	1.6	pk7: 6
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 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
Roniel Paulino (OGILVIE)	18	—	—	—	—	218/272/300	81	284	0	1	24%	6%	63	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ronaldo Hernández 2016 · A	18	44	37→50	50→45	43	208/271/281	73	270	4	6	23%	6%	58	-1.7	242/287/359	117	276	12	5	17%	5%	82	-0.0	243/286/377	134	275	16	5	18%	5%	84	+0.1
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Jose Ovalles 2012 · A	18	42	40→45	47→40	52	202/296/293	91	253	8	4	22%	10%	72	-0.7	208/277/318	110	251	9	5	20%	7%	70	-0.9	202/266/322	119	235	10	4	18%	6%	64	-0.4
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Ramon Mendoza 2019 · A	18	46→49	41→45	48→45	46	220/292/328	108	287	7	4	25%	7%	77	-0.3	209/280/296	87	296	5	4	29%	7%	65	-1.2	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Juan Uriarte 2016 · A	18	44	40→45	41→30	46	209/281/300	92	252	7	4	20%	6%	67	-1.1	214/271/302	88	274	7	4	24%	5%	63	-1.4	190/234/269	79	257	8	1	28%	3%	40	-0.9
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Adrian De Leon 2022 · A	18	43	38→40	49→45	41	202/274/282	81	298	6	6	32%	7%	60	-1.6	205/294/284	79	319	6	6	34%	9%	69	-0.9	158/267/223	66	272	6	3	39%	10%	45	-1.1
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Michael Arroyo 2023 · A	18	48→46	42→50	44→50	46	226/320/334	108	300	8	7	26%	8%	90	+0.6	212/310/340	128	285	12	8	28%	8%	88	+0.4	217/303/361	144	274	17	12	26%	7%	88	+0.4
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Francisco Herrera 2012 · A	18	46	40→45	47→30	49	220/280/315	95	261	7	8	19%	7%	70	-0.9	225/284/324	99	267	9	5	19%	6%	73	-0.6	225/284/320	95	260	10	3	17%	6%	71	-0.3
✕Deivy Grullón 2014 · A	18	45→42	37→50	48→30	43	215/262/292	77	271	4	4	22%	6%	57	-1.8	206/246/297	91	281	8	2	28%	5%	52	-2.2	211/258/366	155	285	22	1	34%	6%	71	-0.4
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Luis Alvarez 2008 · A	18	43	39→45	45	45	208/273/291	82	251	7	4	20%	6%	61	-1.5	229/300/339	110	282	10	5	21%	7%	83	+0.1	229/297/349	120	270	13	3	20%	6%	81	-0.0
✕Ricardo Cova 2022 · A	18	44→50	38→45	47→55	45	210/277/286	76	271	6	9	24%	6%	62	-1.4	207/267/292	85	318	6	15	35%	6%	59	-1.6	229/275/344	115	283	10	21	22%	5%	72	-0.5
●Óscar Hernández 2011 · A	18	40	44→50	48→40	43	200/263/313	114	250	11	5	25%	6%	63	-1.3	236/308/404	168	278	21	4	23%	7%	101	+1.4	221/281/376	155	266	19	2	24%	5%	85	+0.1
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Ali Sánchez 2015 · A	18	47	39→45	42→40	47	226/292/305	79	288	7	8	23%	8%	72	-0.7	218/267/274	56	278	3	6	21%	5%	54	-2.0	237/288/332	95	305	11	1	25%	6%	73	-0.3

Career Stats + Projections

Career Comps

Career Path Comps