Tomás Nido

C Worcester Red Sox

Age 33 R/R 6'0" / 211 lbs AAA HR -5%K -4% Svc 9.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2024	30	AAADET	41	.325/.325/.475	1	65	—	.250/.250/.375
2024	30	MLBCHC	140	.192/.222/.315	4	43	0.3
2025	31	AAA/INTL2 orgs	210	.226/.285/.342	5	45	—	.182/.226/.278
2025	31	MLBDET	37	.343/.361/.343	0	101	0.6
2026	32	AAABOS	207	.220/.292/.330	3	33	—	.185/.238/.265
2027PROJ10% MLB	33	MLBBOS	15	.219/.266/.339	0	64	0.0
2028PROJ6% MLB	34	MLBBOS	6	.209/.255/.318	0	56	-0.0

Last 3 seasons WAR 0.9 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.000First FA2028

2027Ext / FA-deal$0.9M

Skills · percentileStatcast 2023-2025

Barrel%41

Avg EV36

Bat Spd28

xwOBA10

Speed10

CompsChad Moeller (age 33) · Nick Green (age 32) · Jonathan Aceves (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 6564vR 60

AVG/OBP/SLG.219 / .266 / .339

PA15

HR0

K%27

BB%7

BABIP278

ISO71

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 40 / POW 50

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT40

xAVG

100.208

POWER50

Barrel%

417.1

Avg EV

3688.0

Bat Spd

2869.0

EYE30

scouting grade only

SPEED35

Sprint

1025.1

Platoon Splits2024-2025 · 167 PA

vs LHP

vs RHP

Edge

117

—

wRC+

-4

▶▶R

wOBA

162

277

▶▶R

ISO

023

134

▶▶R

BABIP

214

286

▶▶R

34.0%

23.1%

▶▶R

BB%

6.0%

1.7%

◀◀L

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

Status FA

MLB Debut 2018

Service 9.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$0.9M	+0.0	$0.0M	-$0.9M
Totals		$0.9M		$0.0M	-$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. Catcher framing: only 2027 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 1-3 WAR low.

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)
2012	18	ROK	Kingsport Mets	—	140	124	30	6	0	2	12	23	1	1	0	242	314	339	653	97	275	16	9	292	39	—	—	—	—	—	—
2015	21	A	Savannah Sand Gnats	—	335	317	82	14	2	6	12	86	1	1	1	259	288	372	660	114	332	26	4	290	47	—	—	—	—	—	—
2016	22	A+	St. Lucie Mets	—	370	344	110	23	2	7	19	42	3	0	1	320	361	459	820	140	344	11	5	360	102	—	—	—	—	—	—
2017	23	AA	Binghamton Rumble Ponies	—	404	367	85	19	1	8	30	63	1	0	0	232	291	354	646	123	255	16	7	287	57	—	—	—	—	—	—
2017	23	INTL	Scottsdale Scorpions	—	56	49	9	4	0	1	5	13	0	0	0	184	259	327	586	143	216	23	9	256	59	—	—	—	—	—	—
2018	24	MLB	New York Mets	—	90	84	14	3	0	1	4	27	0	0	0	167	205	238	443	71	224	30	4	197	23	-8	+0	+3	+7	+2	0.4
2018	24	AAA	Las Vegas 51s	—	19	17	4	2	0	0	2	2	0	0	0	235	316	353	669	118	267	11	11	304	63	—	—	—	—	—	—
2018	24	AA	Binghamton Rumble Ponies	—	228	215	59	18	1	5	7	36	2	0	0	274	304	437	741	163	303	16	3	321	85	—	—	—	—	—	—
2018	24	INTL	Indios de Mayaguez	—	29	28	5	0	0	0	1	6	0	0	0	179	207	179	385		227	21	3	180	8	—	—	—	—	—	—
2019	25	MLB	New York Mets	—	144	136	26	5	0	4	7	37	0	0	0	191	231	316	547	125	232	26	5	243	48	-9	+0	+4	+4	+3	0.2
2019	25	AAA	Syracuse Mets	—	40	38	11	1	0	0	1	13	0	0	0	289	308	316	623	26	423	32	2	276	47	—	—	—	—	—	—
2019	25	INTL	Criollos de Caguas	—	33	31	8	2	0	0	2	6	0	0	0	258	303	323	626	65	320	18	6	285	79	—	—	—	—	—	—
2020	26	MLB	New York Mets	—	26	24	7	1	0	2	2	6	0	0	0	292	346	583	929	292	312	23	8	402	163	+2	+0	+2	+0	+1	0.5
2021	27	MLB	New York Mets	—	161	153	34	5	1	3	5	44	3	1	0	222	261	327	588	105	292	27	3	265	67	-6	+0	+11	+3	+3	1.1
2022	28	MLB	New York Mets	—	313	284	68	15	0	3	14	76	1	0	0	239	278	324	602	85	314	24	4	260	67	-12	+0	+18	+6	+7	1.8
2023	29	MLB	New York Mets	—	61	56	7	0	0	0	2	18	0	0	0	125	155	125	280		179	30	3	127	-26	-9	+0	+2	+4	+1	-0.2
2023	29	AAA	Syracuse Mets	—	146	135	38	3	0	4	11	27	0	0	0	281	336	393	728	111	327	18	8	328	68	—	—	—	—	—	—
2023	29	A	St. Lucie Mets	—	15	15	3	0	0	1	0	3	0	0	0	200	200	400	600	200	182	20	0	259	-8	—	—	—	—	—	—
2024	30	MLB	Chicago Cubs	—	140	130	25	4	0	4	5	35	0	0	0	192	222	315	538	123	226	25	4	231	43	-9	+0	+6	+3	+3	0.3
2024	30	AAA	Toledo Mud Hens	—	41	40	13	3	0	1	0	8	0	0	0	325	325	475	800	150	387	20	0	343	65	—	—	—	—	—	—
2025	31	MLB	Detroit Tigers	—	37	35	12	0	0	0	0	10	1	0	0	343	361	343	704		480	27	0	313	101	+0	+0	+1	+4	+1	0.6
2025	31	AAA	Toledo Mud Hens	—	189	172	36	6	0	5	11	46	3	0	0	209	269	331	600	122	254	24	6	268	34	—	—	—	—	—	—
2025	31	INTL	Criollos de Caguas	—	21	18	7	1	0	0	2	2	0	0	0	389	429	444	873	56	438	10	10	386	147	—	—	—	—	—	—
2026	32	AAA	Worcester Red Sox	—	207	182	40	11	0	3	17	51	2	0	0	220	292	330	622	110	289	25	8	276	33	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	972	902	193	33	1	17	39	253	5	1	0	214	251	309	560	95	275	26	4	246	52	-55	+0	+45	+31	+21	4.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	Kingsport Mets	—	140	128	25	4	0	2	8	33	1	1	0	195	248	273	522	78	229	24	6	226	39	—	—	—	—	—	—
2015	21	A MLE	Savannah Sand Gnats	—	335	321	71	11	2	6	8	113	1	1	1	221	242	324	566	103	302	34	2	238	47	—	—	—	—	—	—
2016	22	A+ MLE	St. Lucie Mets	—	370	349	100	22	2	6	14	62	3	0	1	287	320	413	732	126	327	17	4	319	102	—	—	—	—	—	—
2017	23	AA MLE	Binghamton Rumble Ponies	—	404	375	84	17	1	5	22	74	1	0	0	224	269	315	584	91	253	18	5	253	57	—	—	—	—	—	—
2018	24	MLB MLE	New York Mets	—	90	84	14	3	0	1	4	27	0	0	0	167	205	238	443	71	224	30	4	203	23	-8	+0	+3	+7	+2	0.4
2018	24	AAA MLE	Las Vegas 51s	—	19	18	4	2	0	0	1	3	0	0	0	222	263	333	596	111	250	16	5	261	63	—	—	—	—	—	—
2018	24	AA MLE	Binghamton Rumble Ponies	—	228	217	57	18	1	4	5	44	2	0	0	263	286	410	696	147	298	19	2	294	85	—	—	—	—	—	—
2019	25	MLB MLE	New York Mets	—	144	138	26	5	0	4	5	37	0	0	0	188	217	312	528	123	232	26	3	239	48	-9	+0	+4	+4	+3	0.2
2019	25	AAA MLE	Syracuse Mets	—	40	38	10	1	0	0	1	15	0	0	0	263	282	289	572	26	385	38	2	237	47	—	—	—	—	—	—
2020	26	MLB MLE	New York Mets	—	26	24	7	1	0	2	2	6	0	0	0	292	346	583	929	292	312	23	8	409	163	+2	+0	+2	+0	+1	0.5
2021	27	MLB MLE	New York Mets	—	161	154	35	5	1	3	4	44	3	1	0	227	261	331	592	104	292	27	2	267	67	-6	+0	+11	+3	+3	1.1
2022	28	MLB MLE	New York Mets	—	313	284	70	16	0	3	14	76	1	0	0	246	284	335	619	88	314	24	4	267	67	-12	+0	+18	+6	+7	1.8
2023	29	MLB MLE	New York Mets	—	61	56	7	0	0	0	2	18	0	0	0	125	155	125	280		179	30	3	129	-26	-9	+0	+2	+4	+1	-0.2
2023	29	AAA MLE	Syracuse Mets	—	146	138	35	3	0	3	8	34	0	0	0	254	295	341	635	87	309	23	5	269	68	—	—	—	—	—	—
2023	29	A MLE	St. Lucie Mets	—	15	15	2	0	0	1	0	4	0	0	0	133	133	333	467	200	144	27	0	156	-8	—	—	—	—	—	—
2024	30	MLB MLE	Chicago Cubs	—	140	130	25	4	0	4	5	35	0	0	0	192	222	315	538	123	226	25	4	232	43	-9	+0	+6	+3	+3	0.3
2024	30	AAA MLE	Toledo Mud Hens	—	41	40	10	2	0	1	0	9	0	0	0	250	250	375	625	125	308	22	0	265	65	—	—	—	—	—	—
2025	31	MLB MLE	Detroit Tigers	—	37	35	12	0	0	0	0	10	1	0	0	343	361	343	704		480	27	0	317	101	+0	+0	+1	+4	+1	0.6
2025	31	AAA MLE	Toledo Mud Hens	—	189	176	32	5	0	4	7	51	3	0	0	182	226	278	504	97	222	27	4	218	34	—	—	—	—	—	—
2026	32	AAA MLE	Worcester Red Sox	—	207	189	35	9	0	2	11	61	2	0	0	185	238	265	502	79	249	29	5	217	33	—	—	—	—	—	—
2012	18	ROK MLE	Kingsport Mets	—	140	128	25	4	0	2	8	33	1	1	0	195	248	273	522	78	240	24	6	226	39	—	—	—	—	—	—
2012	18	ROK RAW	Kingsport Mets	—	140	124	30	6	0	2	12	23	1	1	0	242	314	339	653	97	275	16	9	292	39	—	—	—	—	—	—
2015	21	A MLE	Savannah Sand Gnats	—	335	321	71	11	2	6	8	113	1	1	1	221	242	324	566	103	316	34	2	238	47	—	—	—	—	—	—
2015	21	A RAW	Savannah Sand Gnats	—	335	317	82	14	2	6	12	86	1	1	1	259	288	372	660	114	332	26	4	290	47	—	—	—	—	—	—
2016	22	A+ MLE	St. Lucie Mets	—	370	349	100	22	2	6	14	62	3	0	1	287	320	413	732	126	330	17	4	319	102	—	—	—	—	—	—
2016	22	A+ RAW	St. Lucie Mets	—	370	344	110	23	2	7	19	42	3	0	1	320	361	459	820	140	344	11	5	360	102	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	460	426	94	19	1	5	25	84	1	0	0	221	265	305	571	85	258	18	5	253	57	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	460	416	94	23	1	9	35	76	1	0	0	226	288	351	639	125	251	17	8	283	57	—	—	—	—	—	—
2018	24	AA MLE	4 teams	—	366	347	81	24	1	5	11	80	2	0	0	233	261	352	613	118	284	22	3	268	67	—	—	—	—	—	—
2018	24	AA RAW	4 teams	—	366	344	82	23	1	6	14	71	2	0	0	238	272	363	636	125	278	19	4	278	67	—	—	—	—	—	—
2019	25	MLB MLE	3 teams	—	217	208	43	7	0	5	7	62	0	0	0	207	233	312	545	106	268	29	3	239	48	-14	+0	+4	+4	+5	-0.1
2019	25	MLB RAW	3 teams	—	217	205	45	8	0	4	10	56	0	0	0	220	256	317	573	98	281	26	5	255	48	-14	+0	+4	+4	+5	-0.1
2020	26	MLB MLE	New York Mets	—	26	24	7	1	0	2	2	6	0	0	0	292	346	583	929	292	312	23	8	409	163	+2	+0	+2	+0	+1	0.5
2020	26	MLB RAW	New York Mets	—	26	24	7	1	0	2	2	6	0	0	0	292	346	583	929	292	312	23	8	402	163	+2	+0	+2	+0	+1	0.5
2021	27	MLB MLE	New York Mets	—	161	154	35	5	1	3	4	44	3	1	0	227	261	331	592	104	299	27	2	267	67	-6	+0	+11	+3	+3	1.1
2021	27	MLB RAW	New York Mets	—	161	153	34	5	1	3	5	44	3	1	0	222	261	327	588	105	292	27	3	265	67	-6	+0	+11	+3	+3	1.1
2022	28	MLB MLE	New York Mets	—	313	284	70	16	0	3	14	76	1	0	0	246	284	335	619	88	324	24	4	267	67	-12	+0	+18	+6	+7	1.8
2022	28	MLB RAW	New York Mets	—	313	284	68	15	0	3	14	76	1	0	0	239	278	324	602	85	314	24	4	260	67	-12	+0	+18	+6	+7	1.8
2023	29	AAA MLE	3 teams	—	222	209	43	3	0	3	10	56	0	0	0	206	242	263	505	57	265	25	5	223	37	—	—	—	—	—	—
2023	29	AAA RAW	3 teams	—	222	206	48	3	0	5	13	48	0	0	0	233	279	320	599	87	279	22	6	268	37	—	—	—	—	—	—
2024	30	MLB MLE	2 teams	—	181	170	35	6	0	5	5	44	0	0	0	206	229	329	558	124	244	24	3	239	48	-11	+0	+6	+3	+4	0.2
2024	30	MLB RAW	2 teams	—	181	170	38	7	0	5	5	43	0	0	0	224	246	353	599	129	266	24	3	256	48	-11	+0	+6	+3	+4	0.2
2025	31	AAA MLE	3 teams	—	247	231	48	6	0	4	8	67	4	0	0	208	247	286	533	78	273	27	3	234	45	—	—	—	—	—	—
2025	31	AAA RAW	3 teams	—	247	225	55	7	0	5	13	58	4	0	0	244	296	342	639	98	307	23	5	285	45	—	—	—	—	—	—
2026	32	AAA MLE	Worcester Red Sox	—	207	189	35	9	0	2	11	61	2	0	0	185	238	265	502	79	262	29	5	217	33	—	—	—	—	—	—
2026	32	AAA RAW	Worcester Red Sox	—	207	182	40	11	0	3	17	51	2	0	0	220	292	330	622	110	289	25	8	276	33	—	—	—	—	—	—
2012	18	ROK MLE	Kingsport Mets	—	140	130	25	4	0	2	8	33	1	1	0	192	248	269	517	77	229	24	6	226	39	—	—	—	—	—	—
2015	21	A MLE	Savannah Sand Gnats	—	335	323	71	11	2	6	8	113	1	1	1	220	242	322	564	102	302	34	2	238	47	—	—	—	—	—	—
2016	22	A+ MLE	St. Lucie Mets	—	370	350	100	22	2	6	14	62	3	0	1	286	320	411	731	126	327	17	4	319	102	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	460	431	94	19	1	5	25	84	1	0	0	218	265	302	567	84	253	18	5	253	57	—	—	—	—	—	—
2018	24	AA MLE	4 teams	—	366	350	81	24	1	5	11	80	2	0	0	231	261	349	610	117	276	22	3	268	67	—	—	—	—	—	—
2019	25	MLB MLE	3 teams	—	217	208	43	7	0	5	7	62	0	0	0	207	233	312	545	106	265	29	3	239	48	—	—	—	—	—	—
2020	26	MLB MLE	New York Mets	—	26	24	7	1	0	2	2	6	0	0	0	292	346	583	929	292	312	23	8	409	163	—	—	—	—	—	—
2021	27	MLB MLE	New York Mets	—	161	153	35	5	1	3	4	44	3	1	0	229	261	333	594	105	292	27	2	267	67	—	—	—	—	—	—
2022	28	MLB MLE	New York Mets	—	313	295	70	16	0	3	14	76	1	0	0	237	284	322	606	85	314	24	4	267	67	—	—	—	—	—	—
2023	29	AAA MLE	3 teams	—	222	210	43	3	0	3	10	56	0	0	0	205	242	262	504	57	262	25	5	223	37	—	—	—	—	—	—
2024	30	MLB MLE	2 teams	—	181	174	35	6	0	5	5	44	0	0	0	201	229	322	550	121	244	24	3	239	48	—	—	—	—	—	—
2025	31	AAA MLE	3 teams	—	247	233	48	6	0	4	8	67	4	0	0	206	247	283	530	77	264	27	3	234	45	—	—	—	—	—	—
2026	32	AAA MLE	Worcester Red Sox	—	207	192	35	9	0	2	11	61	2	0	0	182	238	260	498	78	249	29	5	217	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	2 teams	—	181	174	35	6	0	5	5	44	0	0	0	201	229	322	550	121	244	24	3	239	48	—	—	—	—	—	—
2025	31	AAA MLE	3 teams	—	247	233	48	6	0	4	8	67	4	0	0	206	247	283	530	77	264	27	3	234	45	—	—	—	—	—	—
2026	32	AAA MLE	Worcester Red Sox	—	207	192	35	9	0	2	11	61	2	0	0	182	238	260	498	78	249	29	5	217	33	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	BOS	10%	240	223	48	10	1	5	12	63	3	1	0	212	260	329	589	117	268	26	5	263	64	-10	+0	+1	+4	+5	0.1
▸ 2027 — real world (MLB)
2027	33	MLB CTX	BOS	10%	15	14	3	1	0	0	1	4	0	0	0	219	266	339	605	120	278	27	7	270	64	-1	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	BOS	6%	108	101	20	4	0	2	5	29	1	0	0	203	249	309	558	107	259	27	5	250	56	-6	+0	-4	+2	+2	-0.6
2028	34	MLB CTX	BOS	6%	6	6	1	0	0	0	0	2	0	0	0	209	255	318	573	110	269	33	0	257	56	-0	+0	-0	+0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	978	908	194	33	1	17	39	255	5	1	0	214	250	308	558	95	275	26	4	246	59	-55	+0	+45	+31	+21	4.3
/ 162G	—	A+C		—	650	603	129	22	1	11	26	169	3	1	0	214	250	308	558	95	276	26	4	246	59	-37	+0	+30	+21	+14	2.8
Career	—	MLE		—	3502	3280	736	143	7	56	139	856	21	4	2	224	260	323	584	99	283	24	4	255	59	-67	+0	+42	+36	+27	3.8
/ 162G	—	MLE		—	650	609	136	27	1	10	26	159	4	1	0	223	260	320	580	97	283	24	4	255	59	-35	+0	+22	+19	+14	2.0

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 AAAWorcester Red Sox · 207 PAwOBA .269 → .217 (−52)K% 24.6% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.64%	÷1.000	×1.200	—	—	29.57%
BB% (unintentional) /PA	8.21%	÷1.000	×0.690	—	×0.952	5.39%
HBP% /PA	0.97%	—	×0.940	—	×0.952	0.86%
Singles /BIP	19.85%	÷1.000	×0.930	×1.013	×0.952	17.80%
Doubles /BIP	8.40%	÷1.000	×0.830	×1.013	×0.952	6.72%
Triples /BIP	0.00%	÷1.000	×0.970	×1.013	×0.952	0.00%
Home runs /BIP	2.29%	÷1.000	×0.700	—	×0.952	1.53%

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 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .269 → .217; ISO .110 → .082; BABIP .289 → .249. 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 AAAToledo Mud Hens · 189 PAwOBA .262 → .218 (−44)K% 24.3% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.34%	÷1.073	×1.200	—	—	27.22%
BB% (unintentional) /PA	5.82%	÷0.988	×0.690	—	×0.962	3.91%
HBP% /PA	1.59%	—	×0.940	—	×0.962	1.44%
Singles /BIP	19.84%	÷0.993	×0.930	×0.992	×0.962	17.73%
Doubles /BIP	4.76%	÷0.953	×0.830	×0.992	×0.962	3.96%
Triples /BIP	0.00%	÷0.905	×0.970	×0.992	×0.962	0.00%
Home runs /BIP	3.97%	÷0.872	×0.700	—	×0.962	3.07%

Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 99, 2B 91, 3B 81, K 115, BB 98 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .262 → .218; ISO .122 → .097; BABIP .254 → .222. 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).

2024 AAAToledo Mud Hens · 41 PAwOBA .333 → .265 (−68)K% 19.5% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.51%	÷1.022	×1.200	—	—	22.92%
BB% (unintentional) /PA	0.00%	÷1.016	×0.690	—	×0.972	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	28.12%	÷1.117	×0.930	—	×0.972	22.76%
Doubles /BIP	9.38%	÷1.049	×0.830	—	×0.972	7.21%
Triples /BIP	0.00%	÷1.070	×0.970	—	×0.972	0.00%
Home runs /BIP	3.12%	÷0.792	×0.700	—	×0.972	2.68%

Factors used: league row International League. Park (home-season share, regressed): HR 58, 1B 123, 2B 110, 3B 114, K 104, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .333 → .265; ISO .150 → .121; BABIP .387 → .308. 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 · 146 PAwOBA .319 → .269 (−50)K% 18.5% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.49%	÷0.961	×1.200	—	—	23.10%
BB% (unintentional) /PA	7.53%	÷0.967	×0.690	—	×0.982	5.28%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	28.70%	÷0.997	×0.930	×1.049	×0.982	27.59%
Doubles /BIP	2.78%	÷0.933	×0.830	×1.049	×0.982	2.55%
Triples /BIP	0.00%	÷1.150	×0.970	×1.049	×0.982	0.00%
Home runs /BIP	3.70%	÷1.003	×0.700	—	×0.982	2.54%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .319 → .269; ISO .111 → .079; BABIP .327 → .309. 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 ASt. Lucie Mets · 15 PAwOBA .251 → .156 (−95)K% 20.0% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.947	×1.360	—	—	28.73%
BB% (unintentional) /PA	0.00%	÷0.977	×0.690	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.780	—	×0.940	0.00%
Singles /BIP	16.67%	÷1.054	×0.920	—	×0.940	13.68%
Doubles /BIP	0.00%	÷0.987	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.940	0.00%
Home runs /BIP	8.33%	÷1.274	×0.800	—	×0.940	4.92%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — applied at half strength. Age: age 29 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (7.0 yr older than average).

Result: wOBA .251 → .156; ISO .200 → .105; BABIP .182 → .144. 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).

2019 AAASyracuse Mets · 40 PAwOBA .275 → .237 (−38)K% 32.5% → 38.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.50%	÷1.020	×1.200	—	—	38.25%
BB% (unintentional) /PA	2.50%	÷0.966	×0.690	—	×1.033	1.85%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	40.00%	÷1.042	×0.930	—	×1.033	36.89%
Doubles /BIP	4.00%	÷1.060	×0.830	—	×1.033	3.24%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.033	0.00%
Home runs /BIP	0.00%	÷0.960	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — 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).

Result: wOBA .275 → .237; ISO .026 → .020; BABIP .423 → .385. 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).

2018 AABinghamton Rumble Ponies · 228 PAwOBA .317 → .294 (−24)K% 15.8% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.992	×1.220	—	—	19.42%
BB% (unintentional) /PA	3.07%	÷1.028	×0.700	—	×1.012	2.12%
HBP% /PA	0.88%	—	×0.850	—	×1.012	0.75%
Singles /BIP	19.55%	÷1.009	×0.970	×1.023	×1.012	19.47%
Doubles /BIP	10.06%	÷0.906	×0.860	×1.023	×1.012	9.88%
Triples /BIP	0.56%	÷1.134	×0.950	×1.023	×1.012	0.48%
Home runs /BIP	2.79%	÷1.013	×0.780	—	×1.012	2.18%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 102, 2B 81, 3B 127, K 98, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .317 → .294; ISO .163 → .143; BABIP .303 → .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).

2018 AAALas Vegas 51s · 19 PAwOBA .296 → .261 (−36)K% 10.5% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷0.986	×1.290	—	—	13.77%
BB% (unintentional) /PA	10.53%	÷1.039	×0.710	—	×1.048	7.54%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	13.33%	÷0.992	×0.900	—	×1.048	12.68%
Doubles /BIP	13.33%	÷0.918	×0.810	—	×1.048	12.33%
Triples /BIP	0.00%	÷0.959	×0.810	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.009	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 .296 → .261; ISO .118 → .108; BABIP .267 → .250. 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
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#5John Boccabella'63-'74 * career totals — 8 seasons, 1,595 PA	2.4	1,595	26	3	217*	267*	343*	+8	+6	-1.3	-0.1
/162	664	11	1	+3.5	+2.7	-0.5	pk7: 1
#6Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	1.4	930	15	1	203	237	296	+17	+30	-1.3	-1.3
/162	664	11	1	+11.9	+21.5	-1.0	pk7: -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
Tomás Nido (OGILVIE)	33	40	50	35	30	210/258/327	116	268	3	1	26%	5%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chad Moeller 2008 · MLB	33	40	45→50	41→30	42	204/259/322	118	253	14	4	25%	6%	63	-1.3	210/262/314	104	261	9	4	22%	5%	63	-1.4	200/250/291	90	248	5	0	21%	5%	52	-0.6
✕Nick Green 2011 · MLB	32	42→46	44→50	37→45	41	209/257/326	118	261	11	4	24%	5%	63	-1.3	202/250/322	120	250	12	5	24%	5%	60	-1.6	188/236/302	113	233	12	3	25%	4%	48	-1.6
✕Jonathan Aceves 2011 · AAA	33	41	44→50	40→30	42	207/250/318	111	253	13	4	24%	5%	59	-1.7	215/264/346	131	269	15	5	25%	6%	70	-0.8	228/295/332	104	273	11	1	20%	7%	78	-0.2
✕Paul Hoover 2009 · MLB	33	44	43→45	43→45	39	218/264/330	112	290	11	5	28%	5%	67	-1.1	212/264/301	89	292	6	4	28%	6%	60	-1.6	206/260/280	74	286	3	1	27%	6%	51	-1.1
✕Yamid Haad 2010 · AAA	32	41	41→45	43→40	39	203/240/298	94	262	9	5	26%	4%	50	-2.3	229/274/332	103	285	9	6	22%	6%	70	-0.8	246/291/336	90	298	6	2	19%	6%	76	-0.2
✕Dustin Garneau 2019 · MLB	31	38	49→50	39→45	44	200/261/344	145	240	17	4	25%	7%	70	-0.8	204/282/370	166	262	19	4	29%	8%	84	+0.1	165/253/332	167	205	21	1	31%	7%	64	-0.4
✕Chris Truby 2006 · MLB	32	38→43	50	41→45	43	203/249/352	149	239	19	4	25%	6%	67	-1.1	200/247/318	118	259	13	9	27%	5%	57	-1.8	168/217/261	93	221	9	11	28%	5%	32	-2.3
✕Carlos M. Rodriguez 2016 · AAA	34	42	43→50	43→40	41	208/268/316	107	284	12	4	30%	6%	65	-1.2	214/260/330	116	305	12	4	32%	5%	65	-1.2	199/244/310	111	296	12	0	36%	5%	52	-1.3
✕Bobby Wilson 2017 · MLB	34	43→52	43→50	40	42	215/261/312	98	267	12	3	24%	6%	61	-1.5	196/250/316	120	245	15	3	26%	6%	59	-1.7	167/222/277	110	205	14	0	26%	6%	39	-1.1
✕Jesus Alberto Vega 2015 · AAA	33	43	43→45	46→40	41	215/264/322	107	277	12	6	27%	6%	65	-1.2	208/256/297	89	296	8	5	31%	5%	55	-1.9	191/237/262	72	277	6	1	32%	5%	38	-1.0
✕Humberto Quintero 2014 · MLB	34	46	44→45	43→40	40	230/266/349	119	276	12	4	22%	4%	72	-0.7	229/259/336	107	282	11	5	22%	3%	65	-1.2	228/248/318	89	282	9	4	22%	2%	54	-1.0
✕Eli Whiteside 2013 · MLB	33	40	41→50	43→40	42	198/254/298	100	253	9	5	25%	6%	56	-1.9	173/222/268	95	231	10	5	29%	5%	37	-3.3	136/179/216	80	179	10	1	31%	4%	7	-2.3
✕Tuffy Gosewisch 2017 · MLB	33	44→43	46→45	46→40	45	222/273/345	123	254	14	5	19%	6%	74	-0.6	190/253/289	99	247	9	4	26%	6%	54	-2.0	161/229/240	79	220	6	1	28%	6%	32	-1.5
✕Caleb Joseph 2019 · MLB	33	46→49	43→50	45→40	40	227/267/336	109	287	10	4	24%	4%	69	-0.9	217/267/342	125	286	13	6	28%	5%	71	-0.8	180/227/297	117	245	12	0	31%	4%	44	-1.0
✕Mike Rose 2009 · AAA	32	41	46→45	41→40	43	211/268/338	128	277	14	6	29%	7%	70	-0.8	215/268/327	112	304	12	10	31%	7%	68	-1.0	166/210/224	59	244	8	4	35%	5%	22	-0.8
✕Mike DiFelice 2002 · MLB	33	43	45→50	45→30	43	217/268/339	122	262	12	5	22%	6%	70	-0.8	228/284/358	130	270	12	5	19%	6%	81	-0.1	214/272/350	136	253	14	1	21%	6%	74	-0.2
✕Henry Blanco 2005 · MLB	33	41	47→50	35→40	48	207/260/344	138	224	15	3	16%	6%	69	-0.9	232/279/377	145	253	16	3	15%	6%	83	+0.1	254/304/390	137	291	14	0	18%	7%	96	+0.4
✕Bryan Holaday 2020 · MLB	32	46	45	38→40	48	230/289/352	123	258	13	4	17%	6%	82	-0.0	222/283/363	141	267	15	7	23%	7%	82	-0.0	186/238/360	174	219	21	4	27%	5%	67	-0.3
✕Guillermo Quiroz 2015 · MLB	33	43	42→45	48→50	39	213/255/316	103	277	10	4	26%	5%	60	-1.6	212/253/316	104	274	10	5	26%	4%	59	-1.6	199/236/322	123	255	15	0	28%	3%	52	-1.1
✕Chad Mottola 2006 · MLB	34	39→41	50	39→45	41	208/250/361	153	241	19	5	23%	5%	69	-0.9	215/253/361	146	259	17	8	24%	5%	70	-0.8	211/248/355	144	252	17	8	24%	4%	64	-1.0

Tomás Nido

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps