Pablo Reyes

2B Salt Lake Bees

Age 33 R/R 5'8" / 175 lbs AAA K +5%HR +4% Svc 9.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	30	AAA/INTL2 orgs	368	.288/.370/.464	12	19	89	—	.242/.308/.383
2024	30	MLBNYM	64	.183/.234/.217	0	1	33	-0.6
2025	31	AAA/INTL2 orgs	275	.255/.343/.410	7	5	71	—	.240/.314/.377
2025	31	MLBNYY	34	.194/.242/.226	0	1	30	-0.3
2026	32	AAA/INTL2 orgs	482	.333/.428/.511	12	21	110	—	.277/.347/.401
2027PROJ10% MLB	33	MLBLAA	24	.256/.324/.380	0	1	101	0.1
2028PROJ6% MLB	34	MLBLAA	12	.245/.313/.358	0	0	92	-0.0

Last 3 seasons WAR -0.8 · Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.000First FA2028

2027Ext / FA-deal$4M

Skills · percentileStatcast 2023-2025

Speed37

Avg EV36

xwOBA32

Bat Spd31

Barrel%19

CompsJon Berti (age 32) · Cameron Maybin (age 33) · Cole Gillespie (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†101

AVG/OBP/SLG.256 / .324 / .380

PA24

HR0

K%17

BB%8

BABIP297

ISO45

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

380.241

POWER

Barrel%

194.3

Avg EV

3688.0

Bat Spd

3169.3

SPEED

Sprint

3726.9

Platoon Splits2024 · 64 PA

vs LHP

vs RHP

Edge

—

wRC+

◀◀L

wOBA

237

194

◀◀L

ISO

091

—

BABIP

357

222

◀◀L

36.4%

26.2%

▶▶R

BB%

0.0%

7.1%

—

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	$4M	+0.1	$0.2M	-$4M
Totals		$4M		$0.2M	-$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. 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)
2012	18	ROK	DSL Pirates 1	—	215	183	52	18	0	1	23	12	2	18	7	284	370	399	769	115	298	6	11	338	37	—	—	—	—	—	—
2013	19	ROK	DSL Pirates 1	—	214	184	56	8	3	3	23	21	0	15	4	304	382	429	811	125	325	10	11	352	41	—	—	—	—	—	—
2014	20	ROK	Bristol Pirates	—	211	180	49	9	1	2	25	31	3	5	5	272	370	367	737	94	315	15	12	334	51	—	—	—	—	—	—
2015	21	A	West Virginia Power	—	459	388	104	24	3	12	45	63	3	27	10	268	349	438	787	170	289	14	10	333	71	—	—	—	—	—	—
2016	22	A+	Bradenton Marauders	—	355	306	81	20	1	5	37	47	1	13	8	265	346	386	732	121	293	13	10	321	69	—	—	—	—	—	—
2016	22	INTL	Leones del Escogido	—	69	66	22	2	0	0	2	12	1	1	2	333	362	364	726	30	407	17	3	330	110	—	—	—	—	—	—
2017	23	AA	Altoona Curve	—	483	420	115	21	3	10	51	70	4	21	14	274	358	410	767	136	306	14	11	340	80	—	—	—	—	—	—
2017	23	INTL	Leones del Escogido	—	107	93	23	4	1	0	9	19	1	1	1	247	320	312	632	65	307	18	8	281	76	—	—	—	—	—	—
2018	24	MLB	Pittsburgh Pirates	—	63	58	17	2	0	3	5	11	0	0	1	293	349	483	832	190	318	17	8	368	140	+3	-0	+3	-7	+1	-0.1
2018	24	AAA	Indianapolis Indians	—	398	356	103	20	4	8	28	71	2	13	7	289	345	435	780	146	338	18	7	337	90	—	—	—	—	—	—
2018	24	AA	Altoona Curve	—	49	45	11	3	0	0	4	5	0	3	0	244	306	311	617	67	275	10	8	283	53	—	—	—	—	—	—
2018	24	INTL	Tigres del Licey	—	165	142	37	5	1	1	19	27	0	6	4	261	348	331	679	70	313	16	12	306	93	—	—	—	—	—	—
2019	25	MLB	Pittsburgh Pirates	—	157	143	29	7	2	2	13	36	1	1	1	203	274	322	596	119	257	23	8	271	69	-6	-0	-1	-5	+3	-0.8
2019	25	AAA	Indianapolis Indians	—	191	175	50	15	0	10	13	37	2	5	3	286	342	543	885	257	312	19	7	383	102	—	—	—	—	—	—
2019	25	INTL	Tigres del Licey	—	78	70	13	3	1	2	5	15	1	2	1	186	250	343	593	157	204	19	6	259	61	—	—	—	—	—	—
2020	26	INTL	Tigres del Licey	—	68	59	7	4	0	0	7	10	2	2	2	119	235	186	422	68	143	15	10	209	28	—	—	—	—	—	—
2021	27	MLB	Milwaukee Brewers	—	87	78	20	5	0	1	9	15	0	4	0	256	333	359	692	103	306	17	10	316	97	-0	+1	+0	+1	+2	0.4
2021	27	AAA	Nashville Sounds	—	153	133	30	7	0	4	15	24	1	1	3	226	309	368	677	143	239	16	10	299	55	—	—	—	—	—	—
2022	28	MLB	Milwaukee Brewers	—	16	15	4	0	0	0	1	2	0	0	0	267	312	267	579		308	12	6	270	70	-1	+0	-0	+5	+0	0.5
2022	28	AAA	Nashville Sounds	—	432	385	105	27	2	11	39	67	6	15	7	273	349	439	788	166	305	16	9	350	72	—	—	—	—	—	—
2022	28	INTL	Tigres del Licey	—	34	28	6	1	2	0	6	6	0	1	0	214	353	393	746	179	273	18	18	336	113	—	—	—	—	—	—
2023	29	MLB	Boston Red Sox	—	185	167	48	9	0	2	14	21	0	7	2	287	343	377	720	90	315	11	8	319	96	-1	+1	-0	+4	+4	0.8
2023	29	AAA	Worcester Red Sox	—	117	99	26	2	1	3	17	25	0	4	2	263	371	394	765	131	319	21	15	345	74	—	—	—	—	—	—
2023	29	AA	Portland Sea Dogs	—	33	27	6	1	0	1	6	6	0	3	0	222	364	370	734	148	250	18	18	339	61	—	—	—	—	—	—
2023	29	INTL	Toros del Este	—	78	65	17	3	0	4	11	9	1	1	1	262	377	492	869	231	250	12	14	380	143	—	—	—	—	—	—
2024	30	MLB	New York Mets	—	64	60	11	2	0	0	3	19	1	1	2	183	234	217	451	33	268	30	5	212	33	-5	-1	-3	+2	+1	-0.6
2024	30	AAA	Syracuse Mets	—	267	230	69	7	2	12	33	39	0	15	2	300	388	504	892	204	315	15	12	388	89	—	—	—	—	—	—
2024	30	INTL	Toros del Este	—	101	89	23	5	2	0	9	20	0	4	0	258	323	360	683	101	333	20	9	301	90	—	—	—	—	—	—
2025	31	MLB	New York Yankees	—	34	31	6	1	0	0	2	10	0	1	0	194	242	226	468	32	286	29	6	212	30	-3	+0	-2	+1	+1	-0.3
2025	31	AAA	Syracuse Mets	—	189	159	46	11	1	6	22	29	4	4	2	289	389	484	873	195	317	15	12	380	83	—	—	—	—	—	—
2025	31	INTL	Gigantes del Cibao	—	86	80	15	3	0	1	5	11	1	1	1	188	244	263	507	75	206	13	6	234	44	—	—	—	—	—	—
2026	32	AAA	Salt Lake Bees	—	459	384	127	28	3	10	59	59	4	21	4	331	425	497	922	167	366	13	13	400	103	—	—	—	—	—	—
2026	32	INTL	Gigantes del Cibao	—	23	19	7	0	1	2	4	5	0	0	0	368	478	789	1.268	421	417	22	17	530	245	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	606	552	135	26	2	8	47	114	2	14	6	245	306	342	649	98	294	19	8	292	84	-12	+0	-3	+1	+13	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	DSL Pirates 1	—	215	191	36	11	0	1	15	15	2	18	7	188	255	262	517	73	190	7	7	223	37	—	—	—	—	—	—
2013	19	ROK MLE	DSL Pirates 1	—	214	191	37	5	2	1	16	26	0	15	4	194	256	257	513	63	205	12	7	229	41	—	—	—	—	—	—
2014	20	ROK MLE	Bristol Pirates	—	211	189	39	6	1	2	16	44	3	5	5	206	279	280	559	74	247	21	8	244	51	—	—	—	—	—	—
2015	21	A MLE	West Virginia Power	—	459	404	93	20	3	9	29	84	3	27	10	230	287	361	648	131	248	18	6	273	71	—	—	—	—	—	—
2016	22	A+ MLE	Bradenton Marauders	—	355	316	72	18	1	4	27	67	1	13	8	228	291	329	620	101	261	19	8	270	69	—	—	—	—	—	—
2017	23	AA MLE	Altoona Curve	—	483	436	106	20	3	8	35	88	4	21	14	243	305	358	663	115	277	18	7	286	80	—	—	—	—	—	—
2018	24	MLB MLE	Pittsburgh Pirates	—	63	58	17	2	0	3	5	11	0	0	1	293	349	483	832	190	318	17	8	375	140	+3	-0	+3	-7	+1	-0.1
2018	24	AAA MLE	Indianapolis Indians	—	398	363	96	16	4	7	21	80	2	13	7	264	308	388	697	124	309	20	5	301	90	—	—	—	—	—	—
2018	24	AA MLE	Altoona Curve	—	49	46	10	3	0	0	3	6	0	3	0	217	265	283	548	65	256	12	6	246	53	—	—	—	—	—	—
2019	25	MLB MLE	Pittsburgh Pirates	—	157	143	29	7	2	2	13	36	1	1	1	203	274	322	596	119	257	23	8	271	69	-6	-0	-1	-5	+3	-0.8
2019	25	AAA MLE	Indianapolis Indians	—	191	179	44	13	0	9	9	44	2	5	3	246	289	469	759	223	273	23	5	319	102	—	—	—	—	—	—
2021	27	MLB MLE	Milwaukee Brewers	—	87	79	20	5	0	1	8	15	0	4	0	253	322	354	676	101	306	17	9	312	97	-0	+1	+0	+1	+2	0.4
2021	27	AAA MLE	Nashville Sounds	—	153	137	27	6	0	3	11	28	1	1	3	197	262	307	568	109	205	18	7	249	55	—	—	—	—	—	—
2022	28	MLB MLE	Milwaukee Brewers	—	16	15	4	0	0	0	1	2	0	0	0	267	312	267	579		308	12	6	271	70	-1	+0	-0	+5	+0	0.5
2022	28	AAA MLE	Nashville Sounds	—	432	397	89	22	2	8	27	83	6	15	7	224	284	350	634	126	261	19	6	275	72	—	—	—	—	—	—
2023	29	MLB MLE	Boston Red Sox	—	185	167	46	8	0	2	14	21	0	7	2	275	331	359	691	84	315	11	8	310	96	-1	+1	-0	+4	+4	0.8
2023	29	AAA MLE	Worcester Red Sox	—	117	104	23	1	1	2	12	29	0	4	2	221	302	308	609	87	283	25	10	277	74	—	—	—	—	—	—
2023	29	AA MLE	Portland Sea Dogs	—	33	30	6	1	0	1	3	7	0	3	0	200	273	333	606	133	222	21	9	258	61	—	—	—	—	—	—
2024	30	MLB MLE	New York Mets	—	64	60	11	2	0	0	3	19	1	1	2	183	234	217	451	33	268	30	5	217	33	-5	-1	-3	+2	+1	-0.6
2024	30	AAA MLE	Syracuse Mets	—	267	240	58	6	2	8	23	48	0	15	2	242	308	383	691	142	265	18	9	300	89	—	—	—	—	—	—
2025	31	MLB MLE	New York Yankees	—	34	31	6	1	0	0	2	10	0	1	0	194	242	226	468	32	286	29	6	212	30	-3	+0	-2	+1	+1	-0.3
2025	31	AAA MLE	Syracuse Mets	—	189	167	40	9	1	4	14	36	4	4	2	240	314	377	691	138	262	19	7	291	83	—	—	—	—	—	—
2026	32	AAA MLE	Salt Lake Bees	—	459	404	112	23	3	7	39	71	4	21	4	277	347	401	748	124	304	15	8	321	103	—	—	—	—	—	—
2012	18	ROK MLE	DSL Pirates 1	—	215	191	36	11	0	1	15	15	2	18	7	188	255	262	517	73	199	7	7	223	37	—	—	—	—	—	—
2012	18	ROK RAW	DSL Pirates 1	—	215	183	52	18	0	1	23	12	2	18	7	284	370	399	769	115	298	6	11	338	37	—	—	—	—	—	—
2013	19	ROK MLE	DSL Pirates 1	—	214	191	37	5	2	1	16	26	0	15	4	194	256	257	513	63	216	12	7	229	41	—	—	—	—	—	—
2013	19	ROK RAW	DSL Pirates 1	—	214	184	56	8	3	3	23	21	0	15	4	304	382	429	811	125	325	10	11	352	41	—	—	—	—	—	—
2014	20	ROK MLE	Bristol Pirates	—	211	189	39	6	1	2	16	44	3	5	5	206	279	280	559	74	255	21	8	244	51	—	—	—	—	—	—
2014	20	ROK RAW	Bristol Pirates	—	211	180	49	9	1	2	25	31	3	5	5	272	370	367	737	94	315	15	12	334	51	—	—	—	—	—	—
2015	21	A MLE	West Virginia Power	—	459	404	93	20	3	9	29	84	3	27	10	230	287	361	648	131	266	18	6	273	71	—	—	—	—	—	—
2015	21	A RAW	West Virginia Power	—	459	388	104	24	3	12	45	63	3	27	10	268	349	438	787	170	289	14	10	333	71	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	424	378	86	21	1	5	33	80	2	14	10	228	293	328	621	101	272	19	8	270	69	—	—	—	—	—	—
2016	22	A+ RAW	2 teams	—	424	372	103	22	1	5	39	59	2	14	10	277	349	382	730	105	313	14	9	323	69	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	590	530	128	25	3	9	43	107	5	22	15	242	304	351	655	109	285	18	7	286	80	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	590	513	138	25	4	10	60	89	5	22	15	269	351	392	743	123	306	15	10	330	80	—	—	—	—	—	—
2018	24	AAA MLE	4 teams	—	675	618	164	28	6	13	39	129	2	22	12	265	311	393	704	128	314	19	6	305	92	—	—	—	—	—	—
2018	24	AAA RAW	4 teams	—	675	601	168	30	5	12	56	114	2	22	12	280	343	406	749	126	325	17	8	328	92	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	426	392	88	24	2	13	27	98	4	8	5	224	281	395	677	171	266	23	6	297	87	—	—	—	—	—	—
2019	25	AAA RAW	3 teams	—	426	388	92	25	3	14	31	88	4	8	5	237	300	425	725	188	272	21	7	319	87	—	—	—	—	—	—
2020	26	INTL MLE	Tigres del Licey	—	68	59	7	4	0	0	7	10	2	2	2	119	235	186	422	68	143	15	10	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Tigres del Licey	—	68	59	7	4	0	0	7	10	2	2	2	119	235	186	422	68	143	15	10	209	28	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	240	216	47	11	0	4	19	43	1	5	3	218	284	324	608	106	249	18	8	272	70	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	240	211	50	12	0	5	24	39	1	5	3	237	318	365	683	128	263	16	10	305	70	—	—	—	—	—	—
2022	28	AAA MLE	3 teams	—	482	444	101	24	2	9	30	91	6	16	7	227	285	351	637	124	267	19	6	275	72	—	—	—	—	—	—
2022	28	AAA RAW	3 teams	—	482	428	115	28	4	11	46	75	6	16	7	269	348	430	778	161	303	16	10	346	72	—	—	—	—	—	—
2023	29	MLB MLE	4 teams	—	413	371	92	12	1	6	35	71	1	15	5	248	314	334	649	86	290	17	8	293	85	-8	+1	-0	+4	+9	0.7
2023	29	MLB RAW	4 teams	—	413	358	97	15	1	10	48	61	1	15	5	271	359	402	761	131	300	15	12	339	85	-8	+1	-0	+4	+9	0.7
2024	30	AAA MLE	3 teams	—	432	390	90	10	3	10	35	88	1	20	4	231	296	349	644	118	272	20	8	284	78	—	—	—	—	—	—
2024	30	AAA RAW	3 teams	—	432	379	103	14	4	12	45	78	1	20	4	272	350	425	775	153	313	18	10	342	78	—	—	—	—	—	—
2025	31	AAA MLE	3 teams	—	309	276	61	13	1	5	23	63	5	6	3	221	293	330	622	109	267	20	7	279	75	—	—	—	—	—	—
2025	31	AAA RAW	3 teams	—	309	270	67	15	1	7	29	50	5	6	3	248	332	389	721	141	279	16	9	321	75	—	—	—	—	—	—
2026	32	AAA MLE	2 teams	—	482	426	117	24	3	7	40	74	4	21	4	275	343	394	737	120	314	15	8	321	103	—	—	—	—	—	—
2026	32	AAA RAW	2 teams	—	482	403	134	28	4	12	63	64	4	21	4	333	428	511	939	179	367	13	13	406	103	—	—	—	—	—	—
2012	18	ROK MLE	DSL Pirates 1	—	215	196	36	11	0	1	15	15	2	18	7	184	255	255	510	71	190	7	7	223	37	—	—	—	—	—	—
2013	19	ROK MLE	DSL Pirates 1	—	214	196	37	5	2	1	16	26	0	15	4	189	256	250	506	61	205	12	7	229	41	—	—	—	—	—	—
2014	20	ROK MLE	Bristol Pirates	—	211	190	39	6	1	2	16	44	3	5	5	205	279	279	558	74	247	21	8	244	51	—	—	—	—	—	—
2015	21	A MLE	West Virginia Power	—	459	424	93	20	3	9	29	84	3	27	10	219	287	344	631	125	248	18	6	273	71	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	424	386	86	21	1	5	33	80	2	14	10	223	293	321	614	98	261	19	8	270	69	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	590	537	128	25	3	9	43	107	5	22	15	238	304	346	651	108	277	18	7	286	80	—	—	—	—	—	—
2018	24	AAA MLE	4 teams	—	675	629	164	28	6	13	39	129	2	22	12	261	311	386	697	126	305	19	6	305	92	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	426	392	88	24	2	13	27	98	4	8	5	224	281	395	677	171	266	23	6	297	87	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	240	218	47	11	0	4	19	43	1	5	3	216	284	321	605	106	242	18	8	272	70	—	—	—	—	—	—
2022	28	AAA MLE	3 teams	—	482	443	101	24	2	9	30	91	6	16	7	228	285	352	638	124	263	19	6	275	72	—	—	—	—	—	—
2023	29	MLB MLE	4 teams	—	413	374	92	12	1	6	35	71	1	15	5	246	314	332	646	86	295	17	8	293	85	—	—	—	—	—	—
2024	30	AAA MLE	3 teams	—	432	393	90	10	3	10	35	88	1	20	4	229	296	346	642	117	266	20	8	284	78	—	—	—	—	—	—
2025	31	AAA MLE	3 teams	—	309	278	61	13	1	5	23	63	5	6	3	219	293	327	620	108	266	20	7	279	75	—	—	—	—	—	—
2026	32	AAA MLE	2 teams	—	482	435	117	24	3	7	40	74	4	21	4	269	343	386	729	117	304	15	8	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	AAA MLE	3 teams	—	432	393	90	10	3	10	35	88	1	20	4	229	296	346	642	117	266	20	8	284	78	—	—	—	—	—	—
2025	31	AAA MLE	3 teams	—	309	278	61	13	1	5	23	63	5	6	3	219	293	327	620	108	266	20	7	279	75	—	—	—	—	—	—
2026	32	AAA MLE	2 teams	—	482	435	117	24	3	7	40	74	4	21	4	269	343	386	729	117	304	15	8	321	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	LAA	10%	371	334	86	17	2	7	31	67	3	12	3	257	326	383	709	126	300	18	8	317	101	+0	+1	-1	+1	+8	0.5
▸ 2027 — real world (MLB)
2027	33	MLB CTX	LAA	10%	24	22	5	1	0	0	2	4	0	1	0	256	324	380	705	125	297	17	8	316	101	+0	+0	-0	+0	+1	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	LAA	6%	215	194	48	9	1	4	17	40	2	4	1	247	314	361	675	114	291	19	8	304	92	-2	+0	-5	+1	+5	-0.2
2028	34	MLB CTX	LAA	6%	12	11	2	0	0	0	1	2	0	0	0	245	313	358	671	113	289	17	8	302	92	-0	+0	-0	+0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	618	563	137	26	2	8	48	116	2	14	6	243	305	339	644	96	293	19	8	292	76	-12	+0	-3	+1	+13	0.0
/ 162G	—	A+C		—	650	592	143	27	2	8	50	122	2	15	6	242	302	334	637	93	291	19	8	292	76	-12	+0	-3	+1	+14	0.0
Career	—	MLE		—	6093	5483	1288	258	30	102	444	1106	45	228	99	235	298	349	646	114	275	18	7	281	76	-14	+2	-9	+3	+23	0.5
/ 162G	—	MLE		—	650	585	138	28	3	11	47	118	5	24	11	236	298	350	649	115	275	18	7	281	76	-8	+1	-5	+2	+14	0.3

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 AAASalt Lake Bees · 459 PAwOBA .394 → .321 (−73)K% 12.9% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.85%	÷1.000	×1.200	—	—	15.42%
BB% (unintentional) /PA	12.85%	÷1.000	×0.690	—	×0.942	8.35%
HBP% /PA	0.87%	—	×0.940	—	×0.942	0.77%
Singles /BIP	26.46%	÷1.000	×0.930	×0.982	×0.942	22.77%
Doubles /BIP	8.62%	÷1.000	×0.830	×0.982	×0.942	6.62%
Triples /BIP	0.92%	÷1.000	×0.970	×0.982	×0.942	0.83%
Home runs /BIP	3.08%	÷1.000	×0.700	—	×0.942	2.03%

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 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .394 → .321; ISO .167 → .130; BABIP .366 → .304. 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 · 189 PAwOBA .374 → .291 (−84)K% 15.3% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.34%	÷0.981	×1.200	—	—	18.77%
BB% (unintentional) /PA	11.64%	÷1.005	×0.690	—	×0.952	7.61%
HBP% /PA	2.12%	—	×0.940	—	×0.952	1.89%
Singles /BIP	21.54%	÷0.975	×0.930	×0.964	×0.952	18.85%
Doubles /BIP	8.46%	÷1.022	×0.830	×0.964	×0.952	6.31%
Triples /BIP	0.77%	÷0.959	×0.970	×0.964	×0.952	0.71%
Home runs /BIP	4.62%	÷1.167	×0.700	—	×0.952	2.64%

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 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 ×0.964.

Result: wOBA .374 → .291; ISO .195 → .133; BABIP .317 → .262. 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 AAASyracuse Mets · 267 PAwOBA .381 → .300 (−81)K% 14.6% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.61%	÷0.968	×1.200	—	—	18.12%
BB% (unintentional) /PA	12.36%	÷0.933	×0.690	—	×0.962	8.79%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	25.13%	÷1.006	×0.930	×0.971	×0.962	21.71%
Doubles /BIP	3.66%	÷0.972	×0.830	×0.971	×0.962	2.92%
Triples /BIP	1.05%	÷0.900	×0.970	×0.971	×0.962	1.05%
Home runs /BIP	6.28%	÷1.059	×0.700	—	×0.962	4.00%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — 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 ×0.971.

Result: wOBA .381 → .300; ISO .204 → .144; BABIP .315 → .265. 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 AAAWorcester Red Sox · 117 PAwOBA .340 → .277 (−63)K% 21.4% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.37%	÷1.023	×1.200	—	—	25.07%
BB% (unintentional) /PA	14.53%	÷0.986	×0.690	—	×0.972	9.89%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	27.03%	÷0.996	×0.930	×1.013	×0.972	24.83%
Doubles /BIP	2.70%	÷1.309	×0.830	×1.013	×0.972	1.69%
Triples /BIP	1.35%	÷0.905	×0.970	×1.013	×0.972	1.43%
Home runs /BIP	4.05%	÷1.008	×0.700	—	×0.972	2.74%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 99, 2B 162, 3B 81, K 105, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .340 → .277; ISO .131 → .098; BABIP .319 → .283. 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 AAPortland Sea Dogs · 33 PAwOBA .319 → .258 (−62)K% 18.2% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.220	—	—	22.19%
BB% (unintentional) /PA	15.15%	÷1.032	×0.700	—	×0.948	9.74%
HBP% /PA	0.00%	—	×0.850	—	×0.948	0.00%
Singles /BIP	19.05%	÷0.972	×0.970	—	×0.948	18.03%
Doubles /BIP	4.76%	÷1.144	×0.860	—	×0.948	3.39%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.948	0.00%
Home runs /BIP	4.76%	÷1.048	×0.780	—	×0.948	3.36%

Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 94, 2B 129, 3B 80, K 100, BB 106 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .319 → .258; ISO .148 → .112; BABIP .250 → .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).

2022 AAANashville Sounds · 432 PAwOBA .342 → .275 (−66)K% 15.5% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.51%	÷0.971	×1.200	—	—	19.18%
BB% (unintentional) /PA	9.03%	÷0.994	×0.690	—	×0.982	6.15%
HBP% /PA	1.39%	—	×0.940	—	×0.982	1.28%
Singles /BIP	20.44%	÷0.996	×0.930	×0.961	×0.982	18.02%
Doubles /BIP	8.49%	÷0.952	×0.830	×0.961	×0.982	6.99%
Triples /BIP	0.63%	÷1.150	×0.970	×0.961	×0.982	0.50%
Home runs /BIP	3.46%	÷0.946	×0.700	—	×0.982	2.51%

Factors used: league row International League. Park (home-season share, regressed): HR 89, 1B 99, 2B 90, 3B 130, K 94, BB 99 — 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 ×0.961.

Result: wOBA .342 → .275; ISO .166 → .128; BABIP .305 → .261. 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 AAANashville Sounds · 153 PAwOBA .299 → .249 (−50)K% 15.7% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.69%	÷1.024	×1.200	—	—	18.39%
BB% (unintentional) /PA	9.80%	÷0.946	×0.690	—	×0.992	7.09%
HBP% /PA	0.65%	—	×0.940	—	×0.992	0.61%
Singles /BIP	17.43%	÷0.966	×0.930	×0.950	×0.992	15.81%
Doubles /BIP	6.42%	÷1.030	×0.830	×0.950	×0.992	4.88%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.992	0.00%
Home runs /BIP	3.67%	÷0.915	×0.700	—	×0.992	2.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .299 → .249; ISO .143 → .113; BABIP .239 → .205. 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 AAAIndianapolis Indians · 191 PAwOBA .372 → .319 (−54)K% 19.4% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.37%	÷1.013	×1.200	—	—	22.95%
BB% (unintentional) /PA	6.81%	÷1.010	×0.690	—	×1.018	4.73%
HBP% /PA	1.05%	—	×0.940	—	×1.018	1.00%
Singles /BIP	18.12%	÷1.026	×0.930	×0.950	×1.018	15.89%
Doubles /BIP	10.87%	÷0.901	×0.830	×0.950	×1.018	9.68%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	7.25%	÷0.953	×0.840	—	×1.018	6.50%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .372 → .319; ISO .257 → .227; BABIP .312 → .273. 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
#1Eric Sogardlast yr '21 career totals — 10 seasons, 2,484 PA	3.7	2,484	26	46	246	312	337	+10	+22	6.0	6.6
/162	664	7	12	+2.7	+5.9	1.6	pk7: 7
#2Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	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
#4Ramon Martinez'98-'09 * career totals — 9 seasons, 2,206 PA	3.3	2,206	29	10	252*	308*	353*	+12	-5	1.9	2.8
/162	664	9	3	+3.6	-1.4	0.6	pk7: 4
#5Dave Berg'98-'04 * career totals — 7 seasons, 1,781 PA	2.7	1,781	21	8	258*	316*	360*	+4	-9	1.3	1.3
/162	664	8	3	+1.3	-3.4	0.5	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	0.9	592	9	14	249	308	355	+2	-2	0.9	0.9
/162	664	10	16	+2.2	-1.9	1.1	pk7: 1
#6Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	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
Pablo Reyes (OGILVIE)	33	—	—	—	—	255/323/379	124	300	4	8	18%	8%	101	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jon Berti 2022 · MLB	32	50→60	45	53→60	56	241/337/365	124	305	12	22	23%	11%	103	+1.5	258/329/370	112	324	10	33	21%	9%	100	+1.3	268/335/372	103	335	9	39	21%	8%	103	+0.8
✕Cameron Maybin 2020 · MLB	33	52→60	47→50	49→55	53	252/332/394	142	316	14	20	24%	10%	107	+1.8	220/293/346	126	302	12	13	29%	9%	82	-0.0	160/230/242	81	236	4	13	32%	7%	34	-0.7
✕Cole Gillespie 2016 · MLB	32	53→57	42→50	52→50	50	254/309/363	108	297	8	13	17%	7%	91	+0.6	228/281/323	95	283	6	11	20%	7%	71	-0.8	206/259/283	77	264	3	7	22%	6%	53	-0.7
✕Kevan Smith 2021 · MLB	33	51→54	47→50	49→40	50	252/320/389	137	288	14	7	18%	8%	101	+1.4	221/287/336	115	291	11	8	26%	8%	77	-0.3	162/217/192	30	235	0	0	29%	7%	17	-0.8
✕Rob Refsnyder 2024 · MLB	33	52→62	44→50	49→50	55	251/346/375	124	318	11	11	23%	11%	108	+1.9	247/327/409	162	309	19	8	25%	9%	109	+2.0	235/311/405	170	291	22	4	26%	9%	103	+0.6
✕Rafael Ortega 2023 · MLB	32	50→55	48→55	48→55	54	248/326/390	142	292	16	18	20%	10%	103	+1.6	217/303/341	124	268	13	21	22%	11%	84	+0.2	200/296/311	111	248	11	26	23%	12%	74	-0.4
✕Jerry Hairston Jr. 2009 · MLB	33	53→55	47→50	54→55	50	261/317/405	143	284	13	19	14%	7%	103	+1.6	255/315/389	134	276	13	12	12%	7%	99	+1.3	259/322/370	111	281	10	7	11%	7%	98	+0.8
✕Tadahito Iguchi 2008 · MLB	33	55→56	47→50	51→50	55	268/341/409	140	308	14	13	18%	10%	114	+2.3	245/311/357	112	301	10	13	20%	9%	91	+0.6	231/291/305	74	299	4	14	22%	8%	71	-0.4
●Michael Tucker 2004 · MLB	33	50→51	50→55	50→55	52	250/319/413	164	291	16	17	20%	9%	106	+1.8	242/325/387	145	284	13	10	19%	11%	103	+1.5	233/326/364	131	273	11	9	18%	11%	98	+0.8
✕Darnell McDonald 2012 · MLB	33	49→55	51→55	49→55	47	250/307/418	168	296	18	12	22%	7%	103	+1.6	210/272/327	117	256	12	10	22%	7%	70	-0.9	186/247/276	90	230	8	9	22%	7%	47	-1.3
✕Jean Segura 2023 · MLB	33	55→62	46→50	48→60	50	270/329/395	124	301	14	14	15%	7%	106	+1.8	232/293/329	97	267	10	13	17%	7%	77	-0.3	223/278/287	63	255	6	11	14%	6%	62	-0.8
✕Gabe Kapler 2008 · MLB	33	51→60	45→55	47→55	52	249/316/378	129	276	12	8	15%	8%	97	+1.1	258/321/428	170	287	18	10	17%	8%	111	+2.1	254/321/423	170	281	17	9	16%	8%	110	+0.7
✕Grégor Blanco 2017 · MLB	33	53→62	41→45	53→60	53	252/321/364	112	298	7	17	18%	9%	95	+1.0	226/294/336	110	291	9	19	24%	9%	79	-0.2	209/277/318	109	271	11	19	26%	8%	68	-0.6
✕Chris Denorfia 2013 · MLB	33	56→66	46→50	53→55	51	276/331/419	143	309	12	18	15%	8%	112	+2.2	264/318/382	118	312	10	13	18%	7%	98	+1.2	260/314/364	104	313	9	11	19%	7%	93	+0.5
●Denard Span 2017 · MLB	33	57→64	44→50	52→55	54	279/339/403	124	300	11	16	11%	8%	111	+2.1	267/334/418	151	295	14	12	14%	9%	113	+2.3	268/338/427	159	296	14	12	14%	9%	117	+2.2
●Agustin Murillo 2014 · AAA	32	54→62	42→45	53→55	51	259/321/359	100	295	10	23	16%	7%	95	+0.9	257/312/384	127	280	14	24	13%	6%	97	+1.1	254/305/376	122	272	13	24	12%	6%	91	+0.5
✕Pablo Ozuna 2008 · MLB	33	56	40	50→55	47	266/309/361	95	290	6	19	11%	5%	90	+0.6	247/291/347	100	276	7	14	13%	5%	80	-0.1	254/289/337	83	288	2	15	12%	3%	74	-0.1
✕Elvis Andrus 2023 · MLB	34	49→59	45→50	51→60	49	244/296/371	127	271	13	16	16%	6%	88	+0.5	247/301/374	127	284	13	16	17%	7%	91	+0.6	250/300/355	105	292	9	18	17%	6%	86	+0.2
✕Eric Campbell 2019 · MLB	32	51→56	42→45	48→50	53	246/328/354	108	300	9	11	20%	9%	97	+1.1	225/300/359	134	280	14	10	23%	9%	88	+0.4	200/282/342	142	236	16	8	22%	9%	74	-0.4
✕Jesse Castillo 2016 · AAA	33	56→61	43→45	50	52	269/329/383	114	307	10	15	16%	8%	103	+1.5	260/317/379	119	305	12	13	18%	8%	97	+1.1	260/318/374	114	305	13	12	18%	8%	97	+0.9

Pablo Reyes

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps