Ronny Mauricio

3B Syracuse Mets

Age 26 S/R 6'3" / 166 lbs AAA H -5% Svc 1.137 · Ctrl thru 2031

Overview

AAA40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	22	AAA/INTL2 orgs	568	.302/.354/.519	24	26	109	—	.263/.305/.427
2023	22	MLBNYM	108	.248/.296/.347	2	7	88	0.5
2025	24	AAA/AA/A/INTL2 orgs	131	.274/.341/.444	5	8	103	—	.311/.349/.443
2025	24	MLBNYM	184	.226/.293/.369	6	4	90	0.7
2026	25	AAANYM	305	.261/.305/.493	18	12	70	—	.219/.255/.389
2026	25	MLBNYM	62	.220/.258/.441	4	0	96	0.3
2027PROJ45% MLB	26	MLBNYM	107	.225/.274/.392	4	3	89	0.2
2028PROJ56% MLB	27	MLBNYM	162	.224/.273/.389	6	4	88	0.3
2029PROJ62% MLB	28	MLBNYM	185	.222/.271/.384	7	4	86	0.3

Last 3 seasons WAR 1.4 · Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.137First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$1M2030Arb-2$2M2031Arb-3$2M

Skills · percentileStatcast 2023-2026

Bat Spd90

Avg EV76

Barrel%56

xwOBA31

Speed17

CompsJoe Borchard (age 27) · Matthew Brown (age 26) · Will Craig (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8989vR 89

AVG/OBP/SLG.225 / .274 / .392

PA107

HR4

K%25

BB%5

BABIP262

ISO150

MLB%45%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · Splits · ContractCON 40 / POW 50

Toolsscout grade · Statcast %ile · 2023-2026

CONTACT40

xAVG

140.222

POWER50

Barrel%

569.0

Avg EV

7690.9

Bat Spd

9076.4

EYE35

scouting grade only

SPEED40

Sprint

1725.9

Platoon Splits2025 · 184 PA

vs LHP

vs RHP

Edge

146

—

wRC+

-42

118

▶▶R

wOBA

107

343

▶▶R

ISO

—

182

—

BABIP

136

337

▶▶R

36.8%

27.4%

▶▶R

BB%

5.3%

8.2%

▶▶R

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

Status Pre-Arb

MLB Debut 2023

Service 1.137 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.5M
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Arb-1	$1M	+0.3	$1M	+$0.0M (cut)
2030	Arb-2	$2M	+0.2	$0.6M	+$0.0M (cut)
2031	Arb-3	$2M	—	—	—
Totals		$2M		$4M	+$0.9M

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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

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)
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	54	—	—	—	—	—	—
2019	18	A	Columbia Fireflies	—	504	470	126	20	5	4	23	99	5	6	10	268	309	357	667	89	330	20	5	297	44	—	—	—	—	—	—
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	83	—	—	—	—	—	—
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	73	—	—	—	—	—	—
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	80	—	—	—	—	—	—
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	91	—	—	—	—	—	—
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	125	—	—	—	—	—	—
2023	22	MLB	New York Mets	—	108	101	25	4	0	2	7	31	0	7	0	248	296	347	643	99	338	29	6	291	88	-2	+1	+0	+2	+2	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	101	—	—	—	—	—	—
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	231	—	—	—	—	—	—
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	90	-2	+1	+3	+1	+4	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	250	—	—	—	—	—	—
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	-18	—	—	—	—	—	—
2025	24	A	St. Lucie Mets	—	16	15	2	0	0	0	1	5	0	2	0	133	188	133	321		200	31	6	157	-32	—	—	—	—	—	—
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	80	—	—	—	—	—	—
2026	25	MLB	New York Mets	—	62	59	13	1	0	4	2	20	1	0	0	220	258	441	699	220	257	32	3	306	96	-0	+0	+0	+1	+1	0.3
2026	25	AAA	Syracuse Mets	—	305	284	74	12	0	18	13	63	5	12	5	261	305	493	798	232	272	21	4	346	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	354	328	76	11	0	12	24	105	2	11	0	232	288	375	663	143	303	30	7	297	87	-5	+2	+3	+5	+8	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	Kingsport Mets	—	247	231	50	12	2	2	9	57	0	2	6	216	246	312	558	95	261	23	4	248	54	—	—	—	—	—	—
2019	18	A MLE	Columbia Fireflies	—	504	480	105	15	5	3	13	138	5	6	10	219	247	290	537	71	290	27	3	233	44	—	—	—	—	—	—
2021	20	AA MLE	Binghamton Rumble Ponies	—	33	32	9	1	0	1	1	13	0	2	0	281	303	406	709	125	439	39	3	291	83	—	—	—	—	—	—
2021	20	A+ MLE	Brooklyn Cyclones	—	420	398	86	12	4	16	18	131	3	9	7	216	255	387	642	171	276	31	4	276	73	—	—	—	—	—	—
2022	21	AA MLE	Binghamton Rumble Ponies	—	541	516	128	23	2	23	17	150	4	20	11	248	277	434	712	186	298	28	3	302	91	—	—	—	—	—	—
2023	22	MLB MLE	New York Mets	—	108	101	25	4	0	2	7	31	0	7	0	248	296	347	643	99	338	29	6	298	88	-2	+1	+0	+2	+2	0.5
2023	22	AAA MLE	Syracuse Mets	—	532	501	132	28	3	16	24	121	6	24	7	263	305	427	732	164	316	23	5	317	101	—	—	—	—	—	—
2025	24	MLB MLE	New York Mets	—	184	169	39	6	0	6	14	54	1	4	0	231	293	373	666	142	296	29	8	301	90	-2	+1	+3	+1	+4	0.7
2025	24	AAA MLE	Syracuse Mets	—	39	36	17	1	0	2	2	6	0	4	1	472	500	667	1.167	194	512	15	5	537	250	—	—	—	—	—	—
2025	24	AA MLE	Binghamton Rumble Ponies	—	18	17	2	2	0	0	1	8	0	0	0	118	167	235	402	118	185	44	6	141	-18	—	—	—	—	—	—
2025	24	A MLE	St. Lucie Mets	—	16	15	2	0	0	0	1	6	0	2	0	133	188	133	321		185	38	6	121	-32	—	—	—	—	—	—
2026	25	MLB MLE	New York Mets	—	62	59	13	1	0	4	2	20	1	0	0	220	258	441	699	220	257	32	3	311	96	-0	+0	+0	+1	+1	0.3
2026	25	AAA MLE	Syracuse Mets	—	305	288	63	10	0	13	9	76	5	12	5	219	255	389	644	170	239	25	3	272	70	—	—	—	—	—	—
2018	17	ROK MLE	Kingsport Mets	—	247	231	50	12	2	2	9	57	0	2	6	216	246	312	558	95	268	23	4	248	54	—	—	—	—	—	—
2018	17	ROK RAW	Kingsport Mets	—	247	227	62	16	3	3	13	40	0	2	6	273	312	410	722	137	309	16	5	311	54	—	—	—	—	—	—
2019	18	A MLE	Columbia Fireflies	—	504	480	105	15	5	3	13	138	5	6	10	219	247	290	537	71	298	27	3	233	44	—	—	—	—	—	—
2019	18	A RAW	Columbia Fireflies	—	504	470	126	20	5	4	23	99	5	6	10	268	309	357	667	89	330	20	5	297	44	—	—	—	—	—	—
2021	20	A+ MLE	3 teams	—	547	519	115	16	5	21	23	174	4	12	7	222	260	393	653	171	289	32	4	277	74	—	—	—	—	—	—
2021	20	A+ RAW	3 teams	—	547	513	127	20	5	22	29	133	4	12	7	248	293	435	728	187	292	24	5	320	74	—	—	—	—	—	—
2022	21	AA MLE	2 teams	—	744	708	176	32	2	32	23	206	8	30	13	249	280	435	715	186	303	28	3	302	91	—	—	—	—	—	—
2022	21	AA RAW	2 teams	—	744	697	186	41	4	31	34	168	8	30	13	267	309	471	779	204	308	23	5	340	91	—	—	—	—	—	—
2023	22	AAA MLE	3 teams	—	676	636	166	34	3	19	33	161	6	33	7	261	304	414	717	153	322	24	5	314	98	—	—	—	—	—	—
2023	22	AAA RAW	3 teams	—	676	625	183	36	5	26	44	131	6	33	7	293	345	491	836	198	335	19	7	368	98	—	—	—	—	—	—
2025	24	MLB MLE	5 teams	—	315	289	73	11	0	10	22	92	2	12	1	253	310	394	704	142	333	29	7	314	99	-0	+2	+3	+1	+7	1.3
2025	24	MLB RAW	5 teams	—	315	285	70	11	0	11	26	85	2	12	1	246	313	400	713	154	309	27	8	318	99	-0	+2	+3	+1	+7	1.3
2026	25	AAA MLE	2 teams	—	367	347	76	11	0	17	11	96	6	12	5	219	255	398	653	179	249	26	3	279	75	—	—	—	—	—	—
2026	25	AAA RAW	2 teams	—	367	343	87	13	0	22	15	83	6	12	5	254	297	484	781	230	270	23	4	339	75	—	—	—	—	—	—
2018	17	ROK MLE	Kingsport Mets	—	247	236	50	12	2	2	9	57	0	2	6	212	246	305	551	93	261	23	4	248	54	—	—	—	—	—	—
2019	18	A MLE	Columbia Fireflies	—	504	481	105	15	5	3	13	138	5	6	10	218	247	289	536	71	290	27	3	233	44	—	—	—	—	—	—
2021	20	A+ MLE	3 teams	—	547	515	115	16	5	21	23	174	4	12	7	223	260	396	656	173	288	32	4	277	74	—	—	—	—	—	—
2022	21	AA MLE	2 teams	—	744	707	176	32	2	32	23	206	8	30	13	249	280	436	716	187	298	28	3	302	91	—	—	—	—	—	—
2023	22	AAA MLE	3 teams	—	676	632	166	34	3	19	33	161	6	33	7	263	304	416	720	153	320	24	5	314	98	—	—	—	—	—	—
2025	24	MLB MLE	5 teams	—	315	288	73	11	0	10	22	92	2	12	1	253	310	396	706	142	314	29	7	314	99	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	367	347	76	11	0	17	11	96	6	12	5	219	255	398	653	179	242	26	3	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	24	MLB MLE	5 teams	—	315	288	73	11	0	10	22	92	2	12	1	253	310	396	706	142	314	29	7	314	99	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	367	347	76	11	0	17	11	96	6	12	5	219	255	398	653	179	242	26	3	279	75	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	NYM	45%	380	353	81	13	1	15	19	96	5	9	3	231	280	400	680	169	271	25	5	299	89	-5	+1	+3	+1	+8	0.7
▸ 2027 — real world (MLB)
2027	26	MLB CTX	NYM	45%	107	100	21	3	0	4	5	27	1	3	1	225	274	392	665	167	262	25	5	293	89	-1	+0	+1	+0	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	NYM	56%	290	270	62	10	1	11	15	74	3	7	2	230	279	397	676	168	270	26	5	298	88	-4	+1	+2	+1	+6	0.6
2029	28	MLB MLE	NYM	62%	300	279	64	10	1	12	15	77	3	6	2	228	276	393	669	165	269	26	5	295	86	-5	+0	+2	+1	+6	0.5
2030	29	MLB MLE	NYM	63%	294	274	61	10	0	11	15	76	3	5	2	225	273	386	660	161	268	26	5	291	83	-6	+0	+1	+1	+6	0.3
2031	30	MLB MLE	NYM	63%	289	270	59	9	0	11	14	76	3	3	2	222	270	378	648	156	265	26	5	286	80	-7	-0	+0	+1	+6	0.0
2028	27	MLB CTX	NYM	56%	162	151	33	5	0	6	8	41	2	4	1	224	273	389	662	165	262	25	5	292	88	-2	+0	+1	+1	+4	0.3
2029	28	MLB CTX	NYM	62%	185	172	38	6	0	7	9	47	2	4	1	222	271	384	655	162	261	25	5	289	86	-3	+0	+1	+1	+4	0.3
2030	29	MLB CTX	NYM	63%	184	171	38	6	0	7	9	48	2	3	1	219	268	378	646	159	259	26	5	285	83	-4	+0	+1	+1	+4	0.2
2031	30	MLB CTX	NYM	63%	183	170	37	6	0	7	9	48	2	2	1	216	264	370	634	154	257	26	5	281	80	-4	+0	+0	+1	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1068	992	222	34	0	39	59	289	10	24	4	224	274	376	650	152	274	27	6	290	81	-19	+3	+6	+7	+23	2.2
/ 162G	—	A+C		—	650	604	136	21	0	24	36	176	6	15	2	225	276	379	655	154	276	27	6	290	81	-11	+2	+4	+5	+14	1.3
Career	—	MLE		—	4811	4524	1058	178	20	158	205	1287	46	134	59	234	274	387	661	153	290	27	4	287	81	-31	+4	+10	+10	+38	3.2
/ 162G	—	MLE		—	650	611	143	24	3	21	28	174	6	18	8	234	274	386	661	152	290	27	4	287	81	-11	+1	+4	+4	+14	1.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAASyracuse Mets · 305 PAwOBA .338 → .272 (−66)K% 20.7% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.66%	÷1.000	×1.200	—	—	24.79%
BB% (unintentional) /PA	3.93%	÷1.000	×0.690	—	×1.033	2.80%
HBP% /PA	1.64%	—	×0.940	—	×1.033	1.59%
Singles /BIP	19.91%	÷1.000	×0.930	×0.961	×1.033	18.38%
Doubles /BIP	5.43%	÷1.000	×0.830	×0.961	×1.033	4.47%
Triples /BIP	0.00%	÷1.000	×0.970	×0.961	×1.033	0.00%
Home runs /BIP	8.14%	÷1.000	×0.700	—	×1.033	5.89%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .338 → .272; ISO .232 → .168; BABIP .272 → .239. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAASyracuse Mets · 39 PAwOBA .577 → .537 (−39)K% 12.8% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.82%	÷0.981	×1.200	—	—	15.69%
BB% (unintentional) /PA	7.69%	÷1.005	×0.690	—	×1.048	5.53%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	46.43%	÷0.975	×0.930	—	×1.048	46.40%
Doubles /BIP	3.57%	÷1.022	×0.830	—	×1.048	3.04%
Triples /BIP	0.00%	÷0.959	×0.970	—	×1.048	0.00%
Home runs /BIP	10.71%	÷1.167	×0.700	—	×1.048	6.74%

Factors used: league row International League. Park (home-season share, regressed): HR 133, 1B 95, 2B 104, 3B 92, K 96, BB 101 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .577 → .537; ISO .303 → .217; BABIP .538 → .512. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AABinghamton Rumble Ponies · 18 PAwOBA .177 → .141 (−36)K% 38.9% → 46.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.89%	÷1.015	×1.220	—	—	46.73%
BB% (unintentional) /PA	5.56%	÷0.983	×0.700	—	×1.012	4.00%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	0.00%	÷0.982	×0.970	—	×1.012	0.00%
Doubles /BIP	20.00%	÷0.941	×0.860	—	×1.012	18.50%
Triples /BIP	0.00%	÷0.911	×0.950	—	×1.012	0.00%
Home runs /BIP	0.00%	÷0.990	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 96, 2B 88, 3B 82, K 103, BB 97 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .177 → .141; ISO .118 → .097; BABIP .200 → .185. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ASt. Lucie Mets · 16 PAwOBA .153 → .121 (−32)K% 31.2% → 40.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.060	×1.360	—	—	40.10%
BB% (unintentional) /PA	6.25%	÷0.953	×0.690	—	×0.980	4.43%
HBP% /PA	0.00%	—	×0.780	—	×0.980	0.00%
Singles /BIP	20.00%	÷0.977	×0.920	—	×0.980	18.46%
Doubles /BIP	0.00%	÷0.903	×0.830	—	×0.980	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.980	0.00%
Home runs /BIP	0.00%	÷0.855	×0.800	—	×0.980	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .153 → .121; ISO .000 → .000; BABIP .200 → .185. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAASyracuse Mets · 532 PAwOBA .362 → .317 (−45)K% 18.2% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.23%	÷0.961	×1.200	—	—	22.78%
BB% (unintentional) /PA	6.02%	÷0.967	×0.690	—	×1.050	4.51%
HBP% /PA	1.13%	—	×0.940	—	×1.050	1.11%
Singles /BIP	22.14%	÷0.997	×0.930	×1.030	×1.050	22.32%
Doubles /BIP	7.63%	÷0.933	×0.830	×1.030	×1.050	7.34%
Triples /BIP	0.76%	÷1.150	×0.970	×1.030	×1.050	0.70%
Home runs /BIP	5.85%	÷1.003	×0.700	—	×1.050	4.29%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .362 → .317; ISO .214 → .168; BABIP .323 → .316. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AABinghamton Rumble Ponies · 541 PAwOBA .327 → .302 (−25)K% 23.1% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.11%	÷1.017	×1.220	—	—	27.71%
BB% (unintentional) /PA	4.44%	÷1.057	×0.700	—	×1.050	3.09%
HBP% /PA	0.74%	—	×0.850	—	×1.050	0.66%
Singles /BIP	20.31%	÷0.983	×0.970	×1.021	×1.050	21.49%
Doubles /BIP	6.77%	÷0.988	×0.860	×1.021	×1.050	6.31%
Triples /BIP	0.52%	÷1.150	×0.950	×1.021	×1.050	0.46%
Home runs /BIP	6.77%	÷0.895	×0.780	—	×1.050	6.20%

Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 97, 2B 98, 3B 130, K 103, BB 111 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .327 → .302; ISO .212 → .188; BABIP .293 → .298. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 A+Brooklyn Cyclones · 420 PAwOBA .316 → .276 (−40)K% 24.0% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.05%	÷1.041	×1.350	—	—	31.19%
BB% (unintentional) /PA	5.71%	÷1.006	×0.710	—	×1.042	4.20%
HBP% /PA	0.71%	—	×0.810	—	×1.042	0.60%
Singles /BIP	19.59%	÷0.957	×0.910	×1.027	×1.042	19.92%
Doubles /BIP	4.81%	÷0.930	×0.830	×1.027	×1.042	4.59%
Triples /BIP	1.72%	÷1.028	×0.820	×1.027	×1.042	1.47%
Home runs /BIP	6.53%	÷0.925	×0.830	—	×1.042	6.11%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 91, 2B 86, 3B 106, K 108, BB 101 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .316 → .276; ISO .207 → .177; BABIP .278 → .276. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AABinghamton Rumble Ponies · 33 PAwOBA .354 → .291 (−63)K% 33.3% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.017	×1.220	—	—	39.97%
BB% (unintentional) /PA	6.06%	÷1.018	×0.690	—	×1.050	4.31%
HBP% /PA	0.00%	—	×0.850	—	×1.050	0.00%
Singles /BIP	40.00%	÷1.045	×0.940	—	×1.050	37.78%
Doubles /BIP	5.00%	÷1.053	×0.870	—	×1.050	4.34%
Triples /BIP	0.00%	÷1.060	×0.920	—	×1.050	0.00%
Home runs /BIP	5.00%	÷0.995	×0.780	—	×1.050	4.12%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .354 → .291; ISO .129 → .099; BABIP .474 → .439. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Ed Spiezio'64-'72 * career totals — 7 seasons, 1,716 PA	2.6	1,716	39	16	238*	304*	389*	+5	+8	4.7	4.9
/162	664	15	6	+1.9	+3.3	1.8	pk7: 5
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	1.8	1,176	43	26	230	277	388	+4	+8	1.9	1.8
/162	664	25	15	+2.4	+4.6	1.1	pk7: 2
#6Jeff Branson'92-'01 * career totals — 7 seasons, 1,720 PA	2.6	1,720	34	9	236*	291*	373*	+9	-3	0.8	1.8
/162	664	13	3	+3.4	-1.1	0.3	pk7: 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)	26	40	50	40	35	229/277/397	168	271	9	6	25%	5%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joe Borchard 2006 · MLB	27	41→43	54→55	43→45	42	224/278/394	170	280	24	6	30%	6%	87	+0.4	232/296/396	164	291	22	7	27%	8%	95	+0.9	228/299/387	159	281	21	6	26%	8%	95	+0.4
✕Matthew Brown 2009 · MLB	26	46→49	52→55	41→45	42	238/290/411	174	296	19	6	26%	6%	96	+1.0	207/262/346	139	274	15	6	29%	6%	70	-0.8	183/242/307	124	247	13	4	30%	6%	51	-1.1
✕Will Craig 2021 · AAA	26	42→48	52→55	42→40	40	220/281/382	162	284	20	5	30%	6%	86	+0.3	231/287/378	147	303	17	7	28%	6%	86	+0.3	227/277/371	145	290	18	0	28%	6%	81	-0.0
✕Michael Chavis 2022 · MLB	26	44→46	54→60	45	37	229/280/400	171	303	23	7	32%	5%	90	+0.6	226/271/377	151	297	18	7	30%	5%	80	-0.1	221/266/377	156	281	18	6	28%	5%	77	-0.2
✕Rougned Odor 2020 · MLB	26	39→49	57→60	43→50	45	216/283/411	195	256	25	12	27%	8%	94	+0.9	207/276/393	186	248	25	7	28%	7%	87	+0.4	201/278/356	155	240	19	5	25%	7%	80	-0.1
✕Andrew Young 2020 · AAA	26	42→46	53→55	45→40	41	223/300/394	171	275	21	5	27%	6%	97	+1.1	215/297/391	176	301	21	5	34%	7%	95	+1.0	190/273/360	170	298	20	4	41%	7%	76	-0.3
✕Domingo Leyba 2022 · MLB	26	44→52	50	42→45	44	229/272/384	155	258	18	4	20%	5%	82	+0.0	227/290/350	123	261	14	8	18%	8%	81	-0.1	222/292/332	110	255	12	8	18%	8%	77	-0.2
✕Ben Johnson 2009 · AAA	27	41→43	52→55	47→45	39	218/264/376	158	247	21	8	22%	3%	78	-0.3	195/240/310	115	244	12	6	25%	4%	53	-2.1	159/206/251	92	206	8	3	26%	4%	25	-1.5
✕Jason Martin 2022 · MLB	26	43→52	52→60	46→50	47	224/286/387	163	267	20	11	25%	8%	88	+0.5	236/298/422	186	299	23	9	28%	8%	101	+1.4	233/295/423	190	295	23	8	28%	8%	97	+0.8
✕Hiram Bocachica 2003 · MLB	27	45	52→55	46→55	45	233/284/402	169	272	20	12	23%	6%	91	+0.7	228/290/386	158	281	19	14	25%	8%	90	+0.6	234/323/403	169	266	20	25	20%	10%	105	+0.7
✕Preston Tucker 2016 · MLB	26	46→47	54→55	40	44	241/291/416	175	278	23	3	23%	6%	97	+1.1	218/272/379	161	262	19	3	24%	6%	82	-0.0	225/297/368	143	264	15	1	20%	8%	87	+0.2
✕Héctor Sánchez 2017 · MLB	27	43→50	51→50	44→30	43	226/277/386	160	270	20	3	25%	6%	85	+0.2	227/275/389	162	281	21	5	27%	6%	85	+0.2	213/239/413	199	249	32	0	30%	3%	78	-0.1
✕Isan Díaz 2023 · MLB	27	42→43	52→55	46→45	47	218/293/384	166	281	21	8	30%	9%	91	+0.7	210/280/373	163	274	22	9	31%	8%	84	+0.1	168/241/306	138	201	23	6	30%	8%	52	-0.7
✕Yu Chang 2022 · MLB	26	45→47	53→50	47→45	41	234/284/411	177	298	20	6	28%	6%	93	+0.8	219/280/368	149	286	18	9	29%	7%	82	+0.0	191/255/314	123	244	18	8	29%	6%	61	-0.5
✕Christian Villanueva 2018 · MLB	27	45→47	53→55	44→50	45	233/291/404	170	272	21	5	23%	7%	95	+0.9	242/303/433	191	294	25	8	26%	7%	106	+1.8	238/302/450	212	282	30	5	27%	6%	111	+1.4
✕Diego Castillo 2023 · MLB	25	43→53	51→50	43→50	44	224/277/381	157	258	20	7	22%	6%	84	+0.2	240/311/345	105	293	9	10	20%	9%	88	+0.4	242/319/330	88	296	6	10	19%	10%	84	+0.1
✕Raudy Read 2021 · AAA	27	43→46	53→55	47→45	39	230/267/401	170	268	21	5	24%	4%	84	+0.2	241/300/423	182	297	22	5	26%	7%	103	+1.5	244/310/433	190	296	23	0	25%	7%	107	+0.7
✕Brett Carroll 2009 · MLB	26	42→46	53→55	42→50	40	223/275/396	173	279	20	5	28%	5%	87	+0.4	214/277/361	147	267	16	7	26%	6%	80	-0.2	205/272/343	137	252	15	8	25%	6%	72	-0.5
✕Alan Trejo 2023 · MLB	27	44→46	51→55	40→45	38	229/267/396	167	283	18	5	26%	4%	84	+0.1	225/275/355	130	286	13	9	25%	6%	77	-0.3	215/269/335	119	274	12	7	25%	6%	68	-0.6
✕Will Middlebrooks 2015 · MLB	26	42→48	51→60	45	40	222/268/371	148	273	20	5	27%	5%	78	-0.3	204/243/341	137	259	17	4	28%	5%	61	-1.5	193/230/337	144	242	19	2	29%	4%	55	-1.2

Ronny Mauricio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps