Jon Singleton

1B Tomateros de Culiacan

Age 35 L/L 6'2" / 256 lbs INTL HR -6% Svc 13.000 · Ctrl thru 2027

Overview

INTLExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	32	MLBHOU	405	.234/.323/.386	13	0	101	-0.7
2025	33	AAA/INTL2 orgs	710	.228/.371/.416	26	2	84	—	.152/.240/.275
2026	34	INTLTomateros de …	55	.333/.519/.590	2	0	207	—
2027PROJ20% MLB	35	MLBHOU	48	.210/.296/.362	1	0	85	-0.1
2028PROJ11% MLB	36	MLBHOU	26	.198/.283/.335	1	0	74	-0.1

Last 3 seasons WAR -0.7 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2023-2025

Bat Spd68

Barrel%50

xwOBA48

Avg EV25

Speed17

CompsAndy Tracy (age 34) · Kevin Barker (age 35) · Brian Burgamy (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 5685vR 95

AVG/OBP/SLG.210 / .296 / .362

PA48

HR1

K%27

BB%10

BABIP265

ISO116

MLB%20%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2023-2025

CONTACT

xAVG

120.220

POWER

Barrel%

508.1

Avg EV

2587.2

Bat Spd

6873.2

SPEED

Sprint

1725.9

Platoon Splits2024 · 405 PA

vs LHP

vs RHP

Edge

323

—

wRC+

118

▶▶R

wOBA

209

342

▶▶R

ISO

105

165

▶▶R

BABIP

209

319

▶▶R

37.8%

24.8%

▶▶R

BB%

7.3%

12.7%

▶▶R

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

Status FA

MLB Debut 2014

Service 13.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.2M	-$1M

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)
2009	17	ROK	GCL Phillies	—	119	100	29	9	0	2	18	13	0	1	0	290	398	440	838	150	314	11	15	375	74	—	—	—	—	—	—
2010	18	A	Lakewood BlueClaws	—	450	376	109	25	2	14	62	74	6	9	7	290	399	479	877	189	323	16	14	386	120	—	—	—	—	—	—
2011	19	A+	Lancaster JetHawks	—	530	449	134	23	1	13	70	123	4	3	3	298	398	441	839	143	378	23	13	373	89	—	—	—	—	—	—
2012	20	AA	Corpus Christi Hooks	—	555	461	131	27	4	21	88	131	1	7	2	284	400	497	897	213	350	24	16	394	105	—	—	—	—	—	—
2012	20	INTL	Mesa Solar Sox	—	110	93	21	4	2	3	17	24	0	0	0	226	345	409	754	183	273	22	15	339	116	—	—	—	—	—	—
2013	21	AAA	Oklahoma City RedHawks	—	294	245	54	13	0	6	46	89	0	1	0	220	344	347	691	127	314	30	16	316	45	—	—	—	—	—	—
2013	21	AA	Corpus Christi Hooks	—	48	38	10	2	1	2	9	16	0	0	0	263	404	526	931	263	381	33	19	399	105	—	—	—	—	—	—
2013	21	A	Quad Cities River Bandits	—	25	21	6	2	0	3	4	5	0	0	0	286	400	810	1.210	524	231	20	16	500	141	—	—	—	—	—	—
2013	21	INTL	Cangrejeros de Santurce	—	149	123	33	6	0	9	26	37	0	0	0	268	396	537	933	268	312	25	17	408	163	—	—	—	—	—	—
2014	22	MLB	Houston Astros	—	362	310	52	13	0	13	50	134	1	2	3	168	285	335	621	168	238	37	14	284	77	-10	-1	-13	-11	+8	-2.7
2014	22	AAA	Oklahoma City RedHawks	—	239	195	52	10	1	14	42	52	1	1	1	267	399	544	943	277	292	22	18	410	106	—	—	—	—	—	—
2015	23	MLB	Houston Astros	—	58	47	9	2	0	1	10	17	0	1	0	191	333	298	631	106	267	29	17	294	84	-1	+0	-1	-9	+1	-1.0
2015	23	AAA	Fresno Grizzlies	—	448	378	96	25	2	22	64	99	1	2	1	254	363	505	869	251	282	22	14	377	88	—	—	—	—	—	—
2016	24	AAA	Fresno Grizzlies	—	501	410	83	17	0	20	83	124	3	0	0	202	341	390	731	188	232	25	17	330	55	—	—	—	—	—	—
2017	25	AA	Corpus Christi Hooks	—	500	385	79	20	0	18	107	132	2	3	0	205	381	397	778	192	253	26	21	353	68	—	—	—	—	—	—
2022	30	AAA	Nashville Sounds	—	581	456	100	22	2	24	117	161	1	3	1	219	380	434	814	215	273	28	20	363	69	—	—	—	—	—	—
2023	31	MLB	Houston Astros	—	105	91	15	3	0	2	13	23	0	0	0	165	269	264	533	99	194	22	12	249	54	-6	+0	-1	-8	+2	-1.3
2023	31	AAA	Sugar Land Space Cowboys	—	364	298	86	15	1	22	63	75	0	1	1	289	413	567	980	279	314	21	17	423	108	—	—	—	—	—	—
2024	32	MLB	Houston Astros	—	405	355	83	13	1	13	47	111	0	0	0	234	323	386	709	152	299	27	12	318	101	+0	+0	-9	-7	+9	-0.7
2025	33	AAA	Sugar Land Space Cowboys	—	472	392	79	15	0	18	77	126	2	2	1	202	335	378	713	176	245	27	16	325	42	—	—	—	—	—	—
2025	33	INTL	Tomateros de Culiacan	—	238	183	52	15	0	8	51	25	1	0	0	284	443	497	940	213	288	11	21	414	166	—	—	—	—	—	—
2026	34	INTL	Tomateros de Culiacan	—	55	39	13	4	0	2	15	10	0	0	0	333	519	590	1.108	256	393	18	27	475	207	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	930	803	159	31	1	29	120	285	1	3	3	198	303	347	650	149	263	31	13	296	86	-15	-1	-23	-35	+20	-5.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	GCL Phillies	—	119	107	24	7	0	2	11	19	0	1	0	224	297	346	642	121	246	16	9	277	74	—	—	—	—	—	—
2010	18	A MLE	Lakewood BlueClaws	—	450	398	109	24	2	14	40	99	6	9	7	274	349	450	799	176	315	22	9	345	120	—	—	—	—	—	—
2011	19	A+ MLE	Lancaster JetHawks	—	530	472	115	16	1	12	47	172	4	3	3	244	317	358	675	114	339	32	9	300	89	—	—	—	—	—	—
2012	20	AA MLE	Corpus Christi Hooks	—	555	490	120	23	4	16	59	163	1	7	2	245	327	406	733	161	323	29	11	323	105	—	—	—	—	—	—
2013	21	AAA MLE	Oklahoma City RedHawks	—	294	257	41	9	0	4	34	122	0	1	0	160	258	241	499	82	275	41	12	235	45	—	—	—	—	—	—
2013	21	AA MLE	Corpus Christi Hooks	—	48	41	10	2	1	2	6	19	0	0	0	244	340	488	828	244	342	40	12	324	105	—	—	—	—	—	—
2013	21	A MLE	Quad Cities River Bandits	—	25	22	5	2	0	2	3	7	0	0	0	227	320	591	911	364	196	28	12	376	141	—	—	—	—	—	—
2014	22	MLB MLE	Houston Astros	—	362	311	51	12	0	13	49	134	1	2	3	164	280	328	608	164	238	37	14	282	77	-10	-1	-13	-11	+8	-2.7
2014	22	AAA MLE	Oklahoma City RedHawks	—	239	210	45	9	1	11	27	68	1	1	1	214	307	424	731	210	256	28	11	325	106	—	—	—	—	—	—
2015	23	MLB MLE	Houston Astros	—	58	47	9	2	0	1	10	17	0	1	0	191	333	298	631	106	267	29	17	292	84	-1	+0	-1	-9	+1	-1.0
2015	23	AAA MLE	Fresno Grizzlies	—	448	395	82	19	2	17	47	125	1	2	1	208	293	395	688	187	246	28	10	299	88	—	—	—	—	—	—
2016	24	AAA MLE	Fresno Grizzlies	—	501	435	67	12	0	15	58	160	3	0	0	154	258	285	543	131	194	32	12	250	55	—	—	—	—	—	—
2017	25	AA MLE	Corpus Christi Hooks	—	500	426	71	18	0	15	66	164	2	3	0	167	281	315	596	148	212	33	13	268	68	—	—	—	—	—	—
2022	30	AAA MLE	Nashville Sounds	—	581	496	84	18	2	18	77	199	1	3	1	169	282	323	605	153	223	34	13	270	69	—	—	—	—	—	—
2023	31	MLB MLE	Houston Astros	—	105	91	15	3	0	2	13	23	0	0	0	165	269	264	533	99	194	22	12	248	54	-6	+0	-1	-8	+2	-1.3
2023	31	AAA MLE	Sugar Land Space Cowboys	—	364	321	74	13	1	17	40	90	0	1	1	231	316	436	752	206	261	25	11	328	108	—	—	—	—	—	—
2024	32	MLB MLE	Houston Astros	—	405	355	82	12	1	13	47	111	0	0	0	231	321	380	701	149	299	27	12	317	101	+0	+0	-9	-7	+9	-0.7
2025	33	AAA MLE	Sugar Land Space Cowboys	—	472	422	64	13	0	13	47	152	2	2	1	152	240	275	515	123	197	32	10	231	42	—	—	—	—	—	—
2009	17	ROK MLE	GCL Phillies	—	119	107	24	7	0	2	11	19	0	1	0	224	297	346	642	121	253	16	9	277	74	—	—	—	—	—	—
2009	17	ROK RAW	GCL Phillies	—	119	100	29	9	0	2	18	13	0	1	0	290	398	440	838	150	314	11	15	375	74	—	—	—	—	—	—
2010	18	A MLE	Lakewood BlueClaws	—	450	398	109	24	2	14	40	99	6	9	7	274	349	450	799	176	326	22	9	345	120	—	—	—	—	—	—
2010	18	A RAW	Lakewood BlueClaws	—	450	376	109	25	2	14	62	74	6	9	7	290	399	479	877	189	323	16	14	386	120	—	—	—	—	—	—
2011	19	A+ MLE	Lancaster JetHawks	—	530	472	115	16	1	12	47	172	4	3	3	244	317	358	675	114	349	32	9	300	89	—	—	—	—	—	—
2011	19	A+ RAW	Lancaster JetHawks	—	530	449	134	23	1	13	70	123	4	3	3	298	398	441	839	143	378	23	13	373	89	—	—	—	—	—	—
2012	20	AA MLE	2 teams	—	665	589	143	27	5	19	70	195	1	7	2	243	324	402	727	160	326	29	11	323	105	—	—	—	—	—	—
2012	20	AA RAW	2 teams	—	665	554	152	31	6	24	105	155	1	7	2	274	391	482	873	208	337	23	16	385	105	—	—	—	—	—	—
2013	21	AAA MLE	4 teams	—	516	453	79	18	2	11	59	209	0	1	0	174	270	296	565	121	287	41	11	256	60	—	—	—	—	—	—
2013	21	AAA RAW	4 teams	—	516	427	103	23	1	20	85	147	0	1	0	241	367	440	807	199	314	28	16	359	60	—	—	—	—	—	—
2014	22	MLB MLE	2 teams	—	601	521	96	21	1	24	76	202	2	3	4	184	290	367	657	182	242	34	13	299	88	-8	-1	-13	-11	+13	-2.0
2014	22	MLB RAW	2 teams	—	601	505	104	23	1	27	92	186	2	3	4	206	331	416	746	210	262	31	15	334	88	-8	-1	-13	-11	+13	-2.0
2015	23	AAA MLE	2 teams	—	506	442	91	21	2	18	57	142	1	3	1	206	298	385	683	179	253	28	11	298	88	—	—	—	—	—	—
2015	23	AAA RAW	2 teams	—	506	425	105	27	2	23	74	116	1	3	1	247	360	482	842	235	281	23	15	368	88	—	—	—	—	—	—
2016	24	AAA MLE	Fresno Grizzlies	—	501	435	67	12	0	15	58	160	3	0	0	154	258	285	543	131	196	32	12	250	55	—	—	—	—	—	—
2016	24	AAA RAW	Fresno Grizzlies	—	501	410	83	17	0	20	83	124	3	0	0	202	341	390	731	188	232	25	17	330	55	—	—	—	—	—	—
2017	25	AA MLE	Corpus Christi Hooks	—	500	426	71	18	0	15	66	164	2	3	0	167	281	315	596	148	221	33	13	268	68	—	—	—	—	—	—
2017	25	AA RAW	Corpus Christi Hooks	—	500	385	79	20	0	18	107	132	2	3	0	205	381	397	778	192	253	26	21	353	68	—	—	—	—	—	—
2022	30	AAA MLE	Nashville Sounds	—	581	496	84	18	2	18	77	199	1	3	1	169	282	323	605	153	231	34	13	270	69	—	—	—	—	—	—
2022	30	AAA RAW	Nashville Sounds	—	581	456	100	22	2	24	117	161	1	3	1	219	380	434	814	215	273	28	20	363	69	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	469	412	89	16	1	19	53	113	0	1	1	216	305	398	703	182	246	24	11	310	96	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	469	389	101	18	1	24	76	98	0	1	1	260	381	496	877	237	284	21	16	384	96	—	—	—	—	—	—
2024	32	MLB MLE	Houston Astros	—	405	355	82	12	1	13	47	111	0	0	0	231	321	380	701	149	295	27	12	317	101	+0	+0	-9	-7	+9	-0.7
2024	32	MLB RAW	Houston Astros	—	405	355	83	13	1	13	47	111	0	0	0	234	323	386	709	152	299	27	12	318	101	+0	+0	-9	-7	+9	-0.7
2025	33	AAA MLE	2 teams	—	710	632	96	19	0	19	71	229	3	2	1	152	241	272	513	120	198	32	10	231	42	—	—	—	—	—	—
2025	33	AAA RAW	2 teams	—	710	575	131	30	0	26	128	151	3	2	1	228	371	416	787	188	261	21	18	355	42	—	—	—	—	—	—
2026	34	INTL MLE	Tomateros de Culiacan	—	55	39	13	4	0	2	15	10	0	0	0	333	519	590	1.108	256	393	18	27	—	—	—	—	—	—	—	—
2026	34	INTL RAW	Tomateros de Culiacan	—	55	39	13	4	0	2	15	10	0	0	0	333	519	590	1.108	256	393	18	27	475	207	—	—	—	—	—	—
2009	17	ROK MLE	GCL Phillies	—	119	107	24	7	0	2	11	19	0	1	0	224	297	346	642	121	246	16	9	277	74	—	—	—	—	—	—
2010	18	A MLE	Lakewood BlueClaws	—	450	401	109	24	2	14	40	99	6	9	7	272	349	446	795	175	315	22	9	345	120	—	—	—	—	—	—
2011	19	A+ MLE	Lancaster JetHawks	—	530	474	115	16	1	12	47	172	4	3	3	243	317	357	674	114	339	32	9	300	89	—	—	—	—	—	—
2012	20	AA MLE	2 teams	—	665	589	143	27	5	19	70	195	1	7	2	243	324	402	727	160	323	29	11	323	105	—	—	—	—	—	—
2013	21	AAA MLE	4 teams	—	516	452	79	18	2	11	59	209	0	1	0	175	270	296	566	122	278	41	11	256	60	—	—	—	—	—	—
2014	22	MLB MLE	2 teams	—	601	518	96	21	1	24	76	202	2	3	4	185	290	369	659	183	245	34	13	299	88	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	506	443	91	21	2	18	57	142	1	3	1	205	298	384	682	178	248	28	11	298	88	—	—	—	—	—	—
2016	24	AAA MLE	Fresno Grizzlies	—	501	435	67	12	0	15	58	160	3	0	0	154	258	285	543	131	194	32	12	250	55	—	—	—	—	—	—
2017	25	AA MLE	Corpus Christi Hooks	—	500	428	71	18	0	15	66	164	2	3	0	166	281	313	594	147	212	33	13	268	68	—	—	—	—	—	—
2022	30	AAA MLE	Nashville Sounds	—	581	498	84	18	2	18	77	199	1	3	1	169	282	321	604	153	223	34	13	270	69	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	469	413	89	16	1	19	53	113	0	1	1	215	305	397	702	182	246	24	11	310	96	—	—	—	—	—	—
2024	32	MLB MLE	Houston Astros	—	405	355	82	12	1	13	47	111	0	0	0	231	321	380	701	149	299	27	12	317	101	—	—	—	—	—	—
2025	33	AAA MLE	2 teams	—	710	630	96	19	0	19	71	229	3	2	1	152	241	273	514	121	197	32	10	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	Houston Astros	—	405	355	82	12	1	13	47	111	0	0	0	231	321	380	701	149	299	27	12	317	101	—	—	—	—	—	—
2025	33	AAA MLE	2 teams	—	710	630	96	19	0	19	71	229	3	2	1	152	241	273	514	121	197	32	10	231	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	HOU	20%	422	374	77	15	1	13	43	116	2	3	1	208	294	360	655	152	260	27	10	294	85	-7	+0	-1	-8	+9	-0.3
▸ 2027 — real world (MLB)
2027	35	MLB CTX	HOU	20%	48	43	9	2	0	1	5	13	0	0	0	210	296	362	658	152	265	27	10	296	85	-1	+0	-0	-1	+1	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	HOU	11%	234	207	41	7	1	7	24	66	1	0	0	196	281	334	615	138	249	28	10	278	74	-7	+0	-7	-4	+5	-1.3
2028	36	MLB CTX	HOU	11%	26	23	5	1	0	1	3	7	0	0	0	198	283	335	618	137	253	27	12	279	74	-1	+0	-1	-0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	956	826	164	32	1	30	123	292	1	3	3	199	303	349	652	150	263	31	13	295	79	-16	-1	-24	-36	+21	-5.7
/ 162G	—	A+C		—	650	562	112	22	1	20	84	199	1	2	2	199	305	349	654	149	265	31	13	295	79	-11	-0	-16	-24	+14	-3.9
Career	—	MLE		—	7080	6194	1243	248	19	215	796	2155	25	38	21	201	294	351	645	150	264	30	11	284	79	-27	-1	-31	-44	+30	-7.3
/ 162G	—	MLE		—	650	569	115	23	2	20	73	198	2	3	2	202	295	355	650	153	266	30	11	284	79	-12	-0	-14	-20	+14	-3.4

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.

2025 AAASugar Land Space Cowboys · 472 PAwOBA .318 → .231 (−87)K% 26.7% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.69%	÷0.995	×1.200	—	—	32.21%
BB% (unintentional) /PA	16.31%	÷1.056	×0.690	—	×0.940	10.02%
HBP% /PA	0.42%	—	×0.940	—	×0.940	0.37%
Singles /BIP	17.29%	÷1.012	×0.930	×0.950	×0.940	14.19%
Doubles /BIP	5.64%	÷0.891	×0.830	×0.950	×0.940	4.69%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.940	0.00%
Home runs /BIP	6.77%	÷0.961	×0.700	—	×0.940	4.63%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 102, 2B 78, 3B 80, K 99, BB 111 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .318 → .231; ISO .176 → .128; BABIP .245 → .197. 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 AAASugar Land Space Cowboys · 364 PAwOBA .415 → .328 (−87)K% 20.6% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.60%	÷1.000	×1.200	—	—	24.72%
BB% (unintentional) /PA	17.03%	÷1.028	×0.690	—	×0.952	10.88%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	21.52%	÷0.981	×0.930	×0.950	×0.952	18.46%
Doubles /BIP	6.73%	÷0.882	×0.830	×0.950	×0.952	5.73%
Triples /BIP	0.45%	÷1.056	×0.970	×0.950	×0.952	0.37%
Home runs /BIP	9.87%	÷0.896	×0.700	—	×0.952	7.34%

Factors used: league row International League. Park (home-season share, regressed): HR 79, 1B 96, 2B 76, 3B 111, K 100, BB 106 — 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 ×0.950.

Result: wOBA .415 → .328; ISO .279 → .224; BABIP .314 → .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).

2022 AAANashville Sounds · 581 PAwOBA .358 → .270 (−88)K% 27.7% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.71%	÷0.971	×1.200	—	—	34.26%
BB% (unintentional) /PA	19.97%	÷0.994	×0.690	—	×0.962	13.33%
HBP% /PA	0.17%	—	×0.940	—	×0.962	0.16%
Singles /BIP	17.63%	÷0.996	×0.930	×0.950	×0.962	15.04%
Doubles /BIP	7.46%	÷0.952	×0.830	×0.950	×0.962	5.94%
Triples /BIP	0.68%	÷1.150	×0.970	×0.950	×0.962	0.52%
Home runs /BIP	8.14%	÷0.946	×0.700	—	×0.962	5.79%

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 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 ×0.950.

Result: wOBA .358 → .270; ISO .215 → .162; BABIP .273 → .223. 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).

2017 AACorpus Christi Hooks · 500 PAwOBA .344 → .268 (−76)K% 26.4% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.40%	÷0.980	×1.220	—	—	32.87%
BB% (unintentional) /PA	20.00%	÷1.056	×0.700	—	×0.988	13.10%
HBP% /PA	0.40%	—	×0.870	—	×0.988	0.34%
Singles /BIP	16.21%	÷1.014	×0.920	×0.963	×0.988	13.98%
Doubles /BIP	7.91%	÷0.964	×0.840	×0.963	×0.988	6.55%
Triples /BIP	0.00%	÷0.900	×0.940	×0.963	×0.988	0.00%
Home runs /BIP	7.11%	÷1.035	×0.800	—	×0.988	5.43%

Factors used: league row TL. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 80, K 96, BB 111 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .344 → .268; ISO .192 → .159; BABIP .253 → .212. 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).

2016 AAAFresno Grizzlies · 501 PAwOBA .322 → .250 (−72)K% 24.8% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.75%	÷0.996	×1.290	—	—	32.05%
BB% (unintentional) /PA	15.77%	÷1.008	×0.710	—	×1.033	11.48%
HBP% /PA	0.60%	—	×0.980	—	×1.033	0.61%
Singles /BIP	16.08%	÷1.000	×0.900	×0.950	×1.033	14.21%
Doubles /BIP	5.94%	÷1.061	×0.810	×0.950	×1.033	4.45%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×1.033	0.00%
Home runs /BIP	6.99%	÷1.040	×0.780	—	×1.033	5.42%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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 ×0.950.

Result: wOBA .322 → .250; ISO .188 → .141; BABIP .232 → .194. 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).

2015 AAAFresno Grizzlies · 448 PAwOBA .370 → .299 (−71)K% 22.1% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.10%	÷1.020	×1.290	—	—	27.96%
BB% (unintentional) /PA	13.84%	÷0.987	×0.710	—	×1.048	10.43%
HBP% /PA	0.22%	—	×0.980	—	×1.048	0.23%
Singles /BIP	16.85%	÷0.972	×0.900	×0.976	×1.048	15.95%
Doubles /BIP	8.96%	÷1.051	×0.810	×0.976	×1.048	7.06%
Triples /BIP	0.72%	÷1.021	×0.810	×0.976	×1.048	0.58%
Home runs /BIP	7.89%	÷1.060	×0.780	—	×1.048	6.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .370 → .299; ISO .251 → .193; BABIP .282 → .246. 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).

2014 AAAOklahoma City RedHawks · 239 PAwOBA .394 → .325 (−69)K% 21.8% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.76%	÷0.994	×1.290	—	—	28.25%
BB% (unintentional) /PA	15.06%	÷0.977	×0.710	—	×1.050	11.50%
HBP% /PA	0.42%	—	×0.980	—	×1.050	0.43%
Singles /BIP	18.88%	÷1.018	×0.900	×0.975	×1.050	17.10%
Doubles /BIP	6.99%	÷0.935	×0.810	×0.975	×1.050	6.21%
Triples /BIP	0.70%	÷1.150	×0.810	×0.975	×1.050	0.50%
Home runs /BIP	9.79%	÷1.042	×0.780	—	×1.050	7.69%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 104, 2B 87, 3B 130, K 99, BB 95 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .394 → .325; ISO .277 → .222; BABIP .292 → .256. 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).

2013 AAAOklahoma City RedHawks · 294 PAwOBA .311 → .235 (−75)K% 30.3% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.27%	÷0.938	×1.290	—	—	41.64%
BB% (unintentional) /PA	15.31%	÷1.003	×0.710	—	×1.050	11.37%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	22.44%	÷0.984	×0.900	×0.951	×1.050	20.50%
Doubles /BIP	8.33%	÷1.008	×0.810	×0.951	×1.050	6.69%
Triples /BIP	0.00%	÷1.000	×0.810	×0.951	×1.050	0.00%
Home runs /BIP	3.85%	÷1.002	×0.780	—	×1.050	3.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 97, 2B 102, 3B 100, K 88, BB 101 — 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 ×0.951.

Result: wOBA .311 → .235; ISO .127 → .091; BABIP .314 → .275. 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
#1Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
#2John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#3Eric Anthony'89-'97 * career totals — 9 seasons, 2,243 PA	3.4	2,243	78	24	225*	300*	410*	-22	-22	0.1	0.6
/162	664	23	7	-6.7	-6.6	0.0	pk7: 1
#4Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1
#5Seth Brownlast yr '25 career totals — 6 seasons, 1,799 PA	2.7	1,799	74	24	227	293	421	-23	-34	-0.8	-0.8
/162	664	27	9	-8.6	-12.4	-0.3	pk7: -1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.5	1,003	31	3	200	300	350	-18	-21	-1.0	-0.9
/162	664	21	2	-12.0	-13.9	-0.6	pk7: -1
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-0.4	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
Jon Singleton (OGILVIE)	35	—	—	—	—	206/292/357	151	260	7	2	27%	10%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Tracy 2008 · AAA	34	40→45	50→55	40→45	49	211/284/360	150	252	18	5	25%	9%	82	-0.0	222/289/390	168	265	21	6	24%	8%	91	+0.6	219/287/395	175	259	23	5	25%	8%	91	+0.6
✕Kevin Barker 2010 · MLB	35	42→45	53→55	43→40	46	223/282/393	170	262	21	3	24%	7%	88	+0.5	245/309/400	155	286	16	4	19%	8%	100	+1.3	256/324/403	147	295	13	1	17%	9%	105	+1.0
✕Brian Burgamy 2016 · AAA	35	44→47	49→50	41→50	48	226/293/372	145	276	17	5	24%	8%	88	+0.4	226/294/342	116	303	11	9	27%	8%	81	-0.1	225/298/331	106	305	9	10	27%	9%	80	-0.1
✕Kole Calhoun 2023 · MLB	35	40→50	51→60	44→50	44	213/281/367	154	270	20	5	29%	8%	83	+0.1	224/288/377	153	273	17	5	24%	7%	87	+0.4	220/284/378	158	258	16	0	21%	7%	84	+0.1
✕Brett Harper 2015 · AAA	34	47→51	51→60	42→30	44	242/301/399	157	299	20	8	26%	7%	97	+1.1	236/293/389	153	295	22	4	27%	7%	92	+0.7	229/285/373	144	281	22	0	27%	6%	84	+0.1
✕Refugio Cervantes 2014 · AAA	35	46→52	49→60	43→30	41	236/272/375	139	272	18	3	21%	4%	80	-0.1	215/247/330	115	266	13	4	24%	4%	60	-1.6	204/234/312	109	249	12	1	24%	4%	51	-1.0
✕Felix Perez 2019 · AAA	34	46→54	50→60	43→50	43	236/290/387	150	283	18	7	24%	6%	90	+0.6	231/285/424	193	262	26	5	23%	6%	97	+1.1	216/269/426	210	229	30	0	22%	5%	93	+0.6
✕Andy Abad 2007 · AAA	34	47→48	49→50	39→45	47	238/287/382	144	252	17	4	15%	6%	88	+0.4	231/276/350	119	259	14	8	17%	5%	76	-0.4	227/266/329	102	253	13	7	16%	4%	69	-0.3
✕Nick Martini 2024 · MLB	34	45→55	49→50	43→45	49	227/309/381	154	279	17	3	24%	9%	96	+1.0	217/296/357	140	263	15	3	23%	8%	86	+0.3	204/286/329	125	245	13	1	22%	8%	76	-0.2
✕Matt McBride 2019 · MLB	34	38→48	51→55	42→40	45	204/261/364	161	235	18	4	23%	6%	74	-0.5	214/266/385	171	257	22	7	26%	6%	81	-0.1	174/211/355	181	185	29	0	27%	3%	51	-0.6
✕Valentino Pascucci 2013 · AAA	34	39→42	51→55	39→45	46	201/283/356	154	288	19	2	36%	10%	81	-0.1	211/298/364	153	309	20	5	35%	10%	88	+0.5	184/291/334	150	259	23	0	36%	11%	78	-0.1
✕Edgard Clemente 2010 · AAA	34	46	50	39→40	49	236/302/386	150	279	18	6	22%	8%	95	+0.9	246/305/399	153	301	17	8	23%	7%	99	+1.2	225/287/381	156	284	20	9	28%	6%	84	+0.0
✕Brad Snyder 2016 · MLB	34	45→51	51→55	45→50	39	225/277/383	158	323	19	9	36%	7%	84	+0.2	229/288/394	165	307	21	7	31%	7%	91	+0.7	219/279/384	165	284	21	1	30%	8%	84	+0.0
✕Brooks Conrad 2015 · MLB	35	39→43	55	38→50	41	212/266/391	180	271	24	3	32%	7%	82	+0.0	190/250/311	121	256	13	6	30%	6%	57	-1.8	137/201/214	77	188	7	3	30%	6%	15	-2.5
●John Lindsey 2012 · AAA	35	44→51	50→60	44→30	39	227/287/382	155	287	17	3	27%	5%	88	+0.5	231/300/429	198	285	26	2	28%	6%	105	+1.7	221/296/425	204	267	29	0	29%	6%	100	+1.0
✕Scott McClain 2007 · MLB	35	37→42	53→55	43→40	43	204/253/369	165	232	22	6	24%	6%	72	-0.7	215/275/386	171	248	23	5	23%	7%	84	+0.2	213/276/389	176	239	25	3	23%	8%	84	+0.2
✕Jake Lamb 2024 · MLB	33	45→55	49→60	44→45	49	226/308/369	143	293	17	4	28%	9%	93	+0.8	213/284/319	106	284	10	4	27%	8%	72	-0.7	196/266/282	86	265	7	0	27%	7%	56	-0.9
✕Francisco Mendez 2013 · AAA	35	46→56	44→45	39→40	53	227/309/340	113	282	12	3	23%	10%	86	+0.3	216/291/327	111	297	12	4	29%	9%	76	-0.4	214/291/320	106	293	12	2	29%	9%	75	-0.3
✕Izzy Alcantara 2007 · AAA	34	46	50→55	40→45	52	238/316/391	153	273	19	8	21%	9%	101	+1.4	229/295/386	157	278	19	8	24%	8%	92	+0.7	206/271/371	165	245	20	2	25%	7%	76	-0.2
✕Cory Aldridge 2014 · AAA	35	37→47	51→55	45	36	194/249/342	148	306	21	9	42%	7%	65	-1.2	239/302/400	161	312	22	5	29%	8%	98	+1.2	250/319/434	185	295	29	1	25%	9%	112	+1.6

Jon Singleton

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps