Edmundo Sosa

2B Philadelphia Phillies

Age 31 R/R 5'11" / 210 lbs MLB HR +14% Svc 6.814 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	28	MLBPHI	274	.257/.314/.422	7	7	103	1.6
2025	29	MLBPHI	261	.276/.309/.469	11	1	109	1.4
2026	30	MLBPHI	250	.247/.285/.429	9	4	92	0.5
2027PROJ	31	MLBPHI	180	.264/.305/.445	7	9	105	0.8
2028PROJ	32	MLBPHI	166	.257/.298/.431	6	6	99	0.2

Last 3 seasons WAR 3.6 · Next 2 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.814First FA2028

2027Ext / FA-deal$6M

Skills · percentileStatcast 2024-2026

Speed81

Bat Spd65

xwOBA50

Barrel%44

Avg EV39

Form.262/.295/.467 ▲ rolling true talent (60d window) · proj .261/.300/.436

CompsEduardo Núñez (age 31) · Dewayne Wise (age 31) · Will Venable (age 31)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 109105vR 93

AVG/OBP/SLG.264 / .305 / .445

PA180

HR7

SB9

K%22

BB%4

BABIP305

ISO185

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 45 / POW 45

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

xAVG

520.253

POWER45

Barrel%

447.4

Avg EV

3988.3

Bat Spd

6573.0

EYE25

scouting grade only

SPEED60

Sprint

8128.7

Recent Formrolling true talent ⓘ

K%24%▼▼28% over 36 PA (60d) · proj 22%

BB%3%▼0% over 36 PA (60d) · proj 4%

ISO.205▲▲.343 over 35 AB (60d) · proj .175

BABIP.306·.364 over 22 BIP (60d) · proj .304

SLASH.262/.295/.467▲proj .261/.300/.436

Platoon Splits2024-2026 · 562 PA

vs LHP

vs RHP

Edge

264

298

—

wRC+

136

◀◀L

wOBA

369

289

◀◀L

ISO

208

145

◀◀L

BABIP

355

286

◀◀L

22.3%

23.2%

◀L

BB%

5.7%

3.4%

◀◀L

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

Status FA

MLB Debut 2021

Service 6.814 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$6M	+0.8	$3M	-$3M
Totals		$6M		$3M	-$3M

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)
2013	17	ROK	DSL Cardinals	—	198	169	53	8	3	3	22	15	3	7	5	314	402	450	852	136	325	8	11	375	55	—	—	—	—	—	—
2014	18	ROK	GCL Cardinals	—	233	207	57	8	5	1	18	29	4	8	5	275	345	377	722	101	311	12	8	321	47	—	—	—	—	—	—
2015	19	ROK	Johnson City Cardinals	—	223	200	60	8	4	7	16	38	6	6	2	300	369	485	854	185	342	17	7	377	70	—	—	—	—	—	—
2016	20	A+	Palm Beach Cardinals	—	35	34	10	0	2	0	1	8	0	0	0	294	314	412	726	118	385	23	3	319	48	—	—	—	—	—	—
2016	20	A	Peoria Chiefs	—	378	351	94	13	1	3	19	71	2	5	4	268	309	336	645	68	325	19	5	288	54	—	—	—	—	—	—
2017	21	A+	Palm Beach Cardinals	—	211	193	55	10	1	0	12	34	1	3	0	285	330	347	677	62	344	16	6	300	71	—	—	—	—	—	—
2017	21	ROK	GCL Cardinals	—	23	22	8	1	0	1	1	2	0	0	0	364	391	545	937	182	368	9	4	413	91	—	—	—	—	—	—
2017	21	INTL	Surprise Saguaros	—	65	59	18	1	1	0	3	12	2	0	1	305	354	356	710	51	383	18	5	322	104	—	—	—	—	—	—
2018	22	AAA	Memphis Redbirds	—	209	191	50	13	0	5	13	42	4	5	2	262	322	408	730	147	310	20	6	326	71	—	—	—	—	—	—
2018	22	AA	Springfield Cardinals	—	279	261	72	17	1	7	9	52	4	1	2	276	309	429	738	153	319	19	3	322	65	—	—	—	—	—	—
2019	23	AAA	Memphis Redbirds	—	496	453	132	18	5	17	17	96	16	2	3	291	340	466	805	174	332	19	3	350	82	—	—	—	—	—	—
2019	23	INTL	Aguilas Cibaenas	—	195	175	48	7	0	3	7	41	9	3	0	274	335	366	701	91	338	21	4	313	98	—	—	—	—	—	—
2020	24	INTL	Aguilas Cibaenas	—	22	19	4	1	0	0	2	3	1	0	0	211	318	263	581	53	250	14	9	279	75	—	—	—	—	—	—
2021	25	MLB	St. Louis Cardinals	—	326	288	78	8	4	6	17	63	17	4	4	271	347	389	736	118	326	19	5	331	109	+3	-1	+6	+3	+7	1.9
2022	26	MLB	Philadelphia Phillies	—	190	176	40	11	4	2	5	50	7	6	1	227	277	369	646	142	304	26	3	285	79	-5	+1	+7	+2	+4	1.0
2023	27	MLB	Philadelphia Phillies	—	300	279	70	15	2	10	8	74	9	4	2	251	293	427	719	176	306	25	3	315	97	-1	+0	+3	+1	+6	0.9
2024	28	MLB	Philadelphia Phillies	—	274	249	64	12	4	7	13	66	8	7	1	257	314	422	735	165	320	24	5	323	103	+1	+1	+5	+3	+6	1.6
2025	29	MLB	Philadelphia Phillies	—	261	243	67	12	1	11	10	56	2	1	1	276	309	469	778	193	315	21	4	334	109	+3	-0	+5	+1	+6	1.4
2026	30	MLB	Philadelphia Phillies	—	250	231	57	11	2	9	7	54	6	4	0	247	285	429	713	182	281	22	3	308	92	-2	+1	+0	+1	+5	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1601	1466	376	69	17	45	60	363	49	26	9	256	307	419	726	162	310	23	4	318	101	+3	+2	+26	+11	+35	7.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Cardinals	—	198	176	36	5	2	2	15	18	3	7	5	205	278	290	568	85	209	9	8	249	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Cardinals	—	233	214	46	6	4	1	11	42	4	8	5	215	266	294	561	79	246	18	5	238	47	—	—	—	—	—	—
2015	19	ROK MLE	Johnson City Cardinals	—	223	206	45	5	3	5	10	54	6	6	2	218	275	345	619	126	270	24	4	271	70	—	—	—	—	—	—
2016	20	A+ MLE	Palm Beach Cardinals	—	35	34	7	0	1	0	1	12	0	0	0	206	229	265	493	59	347	34	3	239	48	—	—	—	—	—	—
2016	20	A MLE	Peoria Chiefs	—	378	356	85	11	1	2	14	93	2	5	4	239	272	292	564	53	308	25	4	248	54	—	—	—	—	—	—
2017	21	A+ MLE	Palm Beach Cardinals	—	211	196	53	10	1	0	9	48	1	3	0	270	306	332	637	61	341	23	4	273	71	—	—	—	—	—	—
2017	21	ROK MLE	GCL Cardinals	—	23	22	7	1	0	1	1	3	0	0	0	318	348	500	848	182	289	13	4	302	91	—	—	—	—	—	—
2018	22	AAA MLE	Memphis Redbirds	—	209	195	44	11	0	4	9	56	4	5	2	226	274	344	618	118	288	27	4	273	71	—	—	—	—	—	—
2018	22	AA MLE	Springfield Cardinals	—	279	265	62	14	1	5	6	63	4	1	2	234	262	351	613	117	284	23	2	264	65	—	—	—	—	—	—
2019	23	AAA MLE	Memphis Redbirds	—	496	458	111	15	4	14	12	125	16	2	3	242	286	384	670	142	292	25	2	289	82	—	—	—	—	—	—
2021	25	MLB MLE	St. Louis Cardinals	—	326	291	78	8	4	6	15	63	17	4	4	268	341	385	725	117	326	19	5	329	109	+3	-1	+6	+3	+7	1.9
2022	26	MLB MLE	Philadelphia Phillies	—	190	176	40	11	4	2	5	50	7	6	1	227	277	369	646	142	304	26	3	285	79	-5	+1	+7	+2	+4	1.0
2023	27	MLB MLE	Philadelphia Phillies	—	300	280	69	15	2	9	8	74	9	4	2	246	290	411	700	164	306	25	3	311	97	-1	+0	+3	+1	+6	0.9
2024	28	MLB MLE	Philadelphia Phillies	—	274	250	64	12	4	7	13	66	8	7	1	256	314	420	734	164	320	24	5	320	103	+1	+1	+5	+3	+6	1.6
2025	29	MLB MLE	Philadelphia Phillies	—	261	244	66	12	1	10	10	56	2	1	1	270	305	451	756	180	315	21	4	329	109	+3	-0	+5	+1	+6	1.4
2026	30	MLB MLE	Philadelphia Phillies	—	250	233	56	11	2	8	7	54	6	4	0	240	280	408	688	167	281	22	3	304	92	-2	+1	+0	+1	+5	0.5
2013	17	ROK MLE	DSL Cardinals	—	198	176	36	5	2	2	15	18	3	7	5	205	278	290	568	85	214	9	8	249	55	—	—	—	—	—	—
2013	17	ROK RAW	DSL Cardinals	—	198	169	53	8	3	3	22	15	3	7	5	314	402	450	852	136	325	8	11	375	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Cardinals	—	233	214	46	6	4	1	11	42	4	8	5	215	266	294	561	79	259	18	5	238	47	—	—	—	—	—	—
2014	18	ROK RAW	GCL Cardinals	—	233	207	57	8	5	1	18	29	4	8	5	275	345	377	722	101	311	12	8	321	47	—	—	—	—	—	—
2015	19	ROK MLE	Johnson City Cardinals	—	223	206	45	5	3	5	10	54	6	6	2	218	275	345	619	126	272	24	4	271	70	—	—	—	—	—	—
2015	19	ROK RAW	Johnson City Cardinals	—	223	200	60	8	4	7	16	38	6	6	2	300	369	485	854	185	342	17	7	377	70	—	—	—	—	—	—
2016	20	A MLE	2 teams	—	413	390	93	11	2	2	15	105	2	5	4	238	270	292	563	54	318	25	4	247	53	—	—	—	—	—	—
2016	20	A RAW	2 teams	—	413	385	104	13	3	3	20	79	2	5	4	270	310	343	652	73	330	19	5	291	53	—	—	—	—	—	—
2017	21	A+ MLE	3 teams	—	299	278	75	14	1	1	13	65	3	3	1	270	310	338	648	68	347	22	4	276	73	—	—	—	—	—	—
2017	21	A+ RAW	3 teams	—	299	274	81	12	2	1	16	48	3	3	1	296	340	365	705	69	354	16	5	314	73	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	488	460	106	25	1	9	15	119	8	6	4	230	267	348	615	117	290	24	3	268	67	—	—	—	—	—	—
2018	22	AA RAW	2 teams	—	488	452	122	30	1	12	22	94	8	6	4	270	315	420	735	150	315	19	5	323	67	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	691	635	155	21	6	19	17	175	25	5	3	244	291	386	677	142	303	25	2	289	82	—	—	—	—	—	—
2019	23	AAA RAW	2 teams	—	691	628	180	25	5	20	24	137	25	5	3	287	338	438	776	151	334	20	3	339	82	—	—	—	—	—	—
2020	24	INTL MLE	Aguilas Cibaenas	—	22	19	4	1	0	0	2	3	1	0	0	211	318	263	581	53	250	14	9	—	—	—	—	—	—	—	—
2020	24	INTL RAW	Aguilas Cibaenas	—	22	19	4	1	0	0	2	3	1	0	0	211	318	263	581	53	250	14	9	279	75	—	—	—	—	—	—
2021	25	MLB MLE	St. Louis Cardinals	—	326	291	78	8	4	6	15	63	17	4	4	268	341	385	725	117	321	19	5	329	109	+3	-1	+6	+3	+7	1.9
2021	25	MLB RAW	St. Louis Cardinals	—	326	288	78	8	4	6	17	63	17	4	4	271	347	389	736	118	326	19	5	331	109	+3	-1	+6	+3	+7	1.9
2022	26	MLB MLE	Philadelphia Phillies	—	190	176	40	11	4	2	5	50	7	6	1	227	277	369	646	142	304	26	3	285	79	-5	+1	+7	+2	+4	1.0
2022	26	MLB RAW	Philadelphia Phillies	—	190	176	40	11	4	2	5	50	7	6	1	227	277	369	646	142	304	26	3	285	79	-5	+1	+7	+2	+4	1.0
2023	27	MLB MLE	Philadelphia Phillies	—	300	280	69	15	2	9	8	74	9	4	2	246	290	411	700	164	303	25	3	311	97	-1	+0	+3	+1	+6	0.9
2023	27	MLB RAW	Philadelphia Phillies	—	300	279	70	15	2	10	8	74	9	4	2	251	293	427	719	176	306	25	3	315	97	-1	+0	+3	+1	+6	0.9
2024	28	MLB MLE	Philadelphia Phillies	—	274	250	64	12	4	7	13	66	8	7	1	256	314	420	734	164	318	24	5	320	103	+1	+1	+5	+3	+6	1.6
2024	28	MLB RAW	Philadelphia Phillies	—	274	249	64	12	4	7	13	66	8	7	1	257	314	422	735	165	320	24	5	323	103	+1	+1	+5	+3	+6	1.6
2025	29	MLB MLE	Philadelphia Phillies	—	261	244	66	12	1	10	10	56	2	1	1	270	305	451	756	180	311	21	4	329	109	+3	-0	+5	+1	+6	1.4
2025	29	MLB RAW	Philadelphia Phillies	—	261	243	67	12	1	11	10	56	2	1	1	276	309	469	778	193	315	21	4	334	109	+3	-0	+5	+1	+6	1.4
2026	30	MLB MLE	Philadelphia Phillies	—	250	233	56	11	2	8	7	54	6	4	0	240	280	408	688	167	276	22	3	304	92	-2	+1	+0	+1	+5	0.5
2026	30	MLB RAW	Philadelphia Phillies	—	250	231	57	11	2	9	7	54	6	4	0	247	285	429	713	182	281	22	3	308	92	-2	+1	+0	+1	+5	0.5
2013	17	ROK MLE	DSL Cardinals	—	198	178	36	5	2	2	15	18	3	7	5	202	278	287	565	84	209	9	8	249	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Cardinals	—	233	216	46	6	4	1	11	42	4	8	5	213	266	292	558	79	246	18	5	238	47	—	—	—	—	—	—
2015	19	ROK MLE	Johnson City Cardinals	—	223	205	45	5	3	5	10	54	6	6	2	220	275	346	621	127	270	24	4	271	70	—	—	—	—	—	—
2016	20	A MLE	2 teams	—	413	393	93	11	2	2	15	105	2	5	4	237	270	290	560	53	311	25	4	247	53	—	—	—	—	—	—
2017	21	A+ MLE	3 teams	—	299	281	75	14	1	1	13	65	3	3	1	267	310	335	644	68	336	22	4	276	73	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	488	462	106	25	1	9	15	119	8	6	4	229	267	346	613	117	286	24	3	268	67	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	691	644	155	21	6	19	17	175	25	5	3	241	291	380	671	140	292	25	2	289	82	—	—	—	—	—	—
2021	25	MLB MLE	St. Louis Cardinals	—	326	291	78	8	4	6	15	63	17	4	4	268	341	385	725	117	326	19	5	329	109	—	—	—	—	—	—
2022	26	MLB MLE	Philadelphia Phillies	—	190	176	40	11	4	2	5	50	7	6	1	227	277	369	646	142	304	26	3	285	79	—	—	—	—	—	—
2023	27	MLB MLE	Philadelphia Phillies	—	300	280	69	15	2	9	8	74	9	4	2	246	290	411	700	164	306	25	3	311	97	—	—	—	—	—	—
2024	28	MLB MLE	Philadelphia Phillies	—	274	251	64	12	4	7	13	66	8	7	1	255	314	418	732	163	320	24	5	320	103	—	—	—	—	—	—
2025	29	MLB MLE	Philadelphia Phillies	—	261	247	66	12	1	10	10	56	2	1	1	267	305	445	750	178	315	21	4	329	109	—	—	—	—	—	—
2026	30	MLB MLE	Philadelphia Phillies	—	250	235	56	11	2	8	7	54	6	4	0	238	280	404	685	166	281	22	3	304	92	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	28	MLB MLE	Philadelphia Phillies	—	274	251	64	12	4	7	13	66	8	7	1	255	314	418	732	163	320	24	5	320	103	—	—	—	—	—	—
2025	29	MLB MLE	Philadelphia Phillies	—	261	247	66	12	1	10	10	56	2	1	1	267	305	445	750	178	315	21	4	329	109	—	—	—	—	—	—
2026	30	MLB MLE	Philadelphia Phillies	—	250	235	56	11	2	8	7	54	6	4	0	238	280	404	685	166	281	22	3	304	92	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	31	MLB MLE	PHI	100%	287	269	70	13	2	10	11	63	5	15	3	261	303	436	739	175	304	22	4	324	105	+2	+2	+2	+1	+6	0.8
▸ 2027 — real world (MLB)
2027	31	MLB CTX	PHI	100%	180	168	45	8	1	7	7	40	3	9	2	264	305	445	750	182	305	22	4	328	105	+1	+1	+1	+1	+4	0.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	32	MLB MLE	PHI	100%	166	156	39	7	1	5	6	37	3	6	1	255	296	422	717	167	299	22	4	315	99	-0	+1	-3	+1	+4	0.2
2028	32	MLB CTX	PHI	100%	166	156	40	7	1	6	6	37	3	6	1	257	298	431	729	174	300	22	4	320	99	-0	+1	-3	+1	+4	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1767	1622	416	76	18	51	66	400	52	32	10	256	306	420	726	163	309	23	4	318	80	+3	+2	+23	+12	+38	8.0
/ 162G	—	A+C		—	650	597	154	28	7	19	24	147	19	12	4	258	306	424	730	166	310	23	4	318	80	+1	+1	+9	+4	+14	3.0
Career	—	MLE		—	4514	4176	1015	172	38	92	169	1021	107	81	36	243	290	369	659	125	298	23	4	287	80	+4	+3	+24	+13	+42	8.8
/ 162G	—	MLE		—	650	601	146	25	5	13	24	147	15	12	5	243	289	366	655	123	298	23	4	287	80	+1	+1	+8	+4	+14	2.9

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.

2019 AAAMemphis Redbirds · 496 PAwOBA .344 → .289 (−55)K% 19.4% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷0.986	×1.290	—	—	25.33%
BB% (unintentional) /PA	3.43%	÷1.035	×0.710	—	×1.050	2.47%
HBP% /PA	3.23%	—	×0.980	—	×1.050	3.32%
Singles /BIP	25.77%	÷1.014	×0.900	×0.950	×1.050	22.82%
Doubles /BIP	5.04%	÷0.917	×0.810	×0.950	×1.050	4.44%
Triples /BIP	1.40%	÷0.900	×0.810	×0.950	×1.050	1.26%
Home runs /BIP	4.76%	÷0.982	×0.780	—	×1.050	3.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 103, 2B 83, 3B 80, K 97, BB 107 — 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 ×0.950.

Result: wOBA .344 → .289; ISO .174 → .142; BABIP .332 → .292. 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 AASpringfield Cardinals · 279 PAwOBA .315 → .264 (−51)K% 18.6% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.64%	÷1.003	×1.220	—	—	22.68%
BB% (unintentional) /PA	3.23%	÷1.026	×0.700	—	×1.042	2.29%
HBP% /PA	1.43%	—	×0.870	—	×1.042	1.30%
Singles /BIP	22.49%	÷1.014	×0.920	×0.963	×1.042	20.46%
Doubles /BIP	8.13%	÷0.973	×0.840	×0.963	×1.042	7.04%
Triples /BIP	0.48%	÷0.900	×0.940	×0.963	×1.042	0.50%
Home runs /BIP	3.35%	÷1.215	×0.800	—	×1.042	2.30%

Factors used: league row TL. Park (home-season share, regressed): HR 143, 1B 103, 2B 95, 3B 80, K 101, BB 105 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .315 → .264; ISO .153 → .118; BABIP .319 → .284. 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 AAAMemphis Redbirds · 209 PAwOBA .315 → .273 (−42)K% 20.1% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.10%	÷0.975	×1.290	—	—	26.59%
BB% (unintentional) /PA	5.26%	÷0.960	×0.710	—	×1.050	4.09%
HBP% /PA	1.91%	—	×0.980	—	×1.050	1.97%
Singles /BIP	21.48%	÷0.984	×0.900	×0.990	×1.050	20.42%
Doubles /BIP	8.72%	÷0.957	×0.810	×0.990	×1.050	7.68%
Triples /BIP	0.00%	÷0.984	×0.810	×0.990	×1.050	0.00%
Home runs /BIP	3.36%	÷0.909	×0.780	—	×1.050	3.02%

Factors used: league row PCL. Park (home-season share, regressed): HR 82, 1B 97, 2B 91, 3B 97, K 95, BB 92 — 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 ×0.990.

Result: wOBA .315 → .273; ISO .147 → .123; BABIP .310 → .288. 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 A+Palm Beach Cardinals · 211 PAwOBA .294 → .273 (−21)K% 16.1% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.11%	÷1.007	×1.420	—	—	22.72%
BB% (unintentional) /PA	5.69%	÷0.990	×0.750	—	×1.027	4.42%
HBP% /PA	0.47%	—	×0.930	—	×1.027	0.45%
Singles /BIP	27.67%	÷0.992	×0.920	×1.033	×1.027	27.23%
Doubles /BIP	6.29%	÷0.970	×0.960	×1.033	×1.027	6.60%
Triples /BIP	0.63%	÷1.150	×0.810	×1.033	×1.027	0.47%
Home runs /BIP	0.00%	÷0.824	×0.880	—	×1.027	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 65, 1B 98, 2B 94, 3B 130, K 101, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .294 → .273; ISO .062 → .060; BABIP .344 → .341. 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 ROKGCL Cardinals · 23 PAwOBA .401 → .302 (−99)K% 8.7% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.70%	÷1.000	×1.440	—	—	12.52%
BB% (unintentional) /PA	4.35%	÷1.000	×0.620	—	×0.985	2.66%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	30.00%	÷1.000	×0.820	—	×0.985	24.23%
Doubles /BIP	5.00%	÷1.000	×0.720	—	×0.985	3.55%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	5.00%	÷1.000	×0.780	—	×0.985	3.84%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .401 → .302; ISO .182 → .134; BABIP .368 → .289. 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 APeoria Chiefs · 378 PAwOBA .283 → .248 (−34)K% 18.8% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.78%	÷1.033	×1.360	—	—	24.73%
BB% (unintentional) /PA	5.03%	÷0.938	×0.690	—	×1.030	3.81%
HBP% /PA	0.53%	—	×0.780	—	×1.030	0.43%
Singles /BIP	27.50%	÷0.999	×0.920	×1.018	×1.030	26.54%
Doubles /BIP	4.64%	÷1.000	×0.830	×1.018	×1.030	4.04%
Triples /BIP	0.36%	÷1.029	×0.910	×1.018	×1.030	0.33%
Home runs /BIP	1.07%	÷1.066	×0.800	—	×1.030	0.83%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 100, 2B 100, 3B 106, K 107, BB 88 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .283 → .248; ISO .068 → .055; BABIP .325 → .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).

2016 A+Palm Beach Cardinals · 35 PAwOBA .311 → .239 (−71)K% 22.9% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.86%	÷0.962	×1.420	—	—	33.74%
BB% (unintentional) /PA	2.86%	÷0.988	×0.750	—	×1.042	2.26%
HBP% /PA	0.00%	—	×0.930	—	×1.042	0.00%
Singles /BIP	30.77%	÷1.047	×0.920	—	×1.042	28.17%
Doubles /BIP	0.00%	÷0.947	×0.960	—	×1.042	0.00%
Triples /BIP	7.69%	÷1.000	×0.810	—	×1.042	6.49%
Home runs /BIP	0.00%	÷0.979	×0.880	—	×1.042	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 96, 1B 109, 2B 89, 3B 100, K 92, BB 98 — 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).

Result: wOBA .311 → .239; ISO .118 → .086; BABIP .385 → .347. 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 ROKJohnson City Cardinals · 223 PAwOBA .366 → .271 (−96)K% 17.0% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.04%	÷1.000	×1.420	—	—	24.20%
BB% (unintentional) /PA	7.17%	÷1.000	×0.640	—	×1.008	4.63%
HBP% /PA	2.69%	—	×0.740	—	×1.008	2.01%
Singles /BIP	25.31%	÷1.000	×0.840	×0.967	×1.008	20.71%
Doubles /BIP	4.94%	÷1.000	×0.740	×0.967	×1.008	3.56%
Triples /BIP	2.47%	÷1.000	×0.740	×0.967	×1.008	1.78%
Home runs /BIP	4.32%	÷1.000	×0.800	—	×1.008	3.48%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .366 → .271; ISO .185 → .135; BABIP .342 → .270. 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
#1Joey Wendlelast yr '23 career totals — 7 seasons, 2,286 PA	3.4	2,286	31	61	262	312	385	+10	+26	9.3	9.3
/162	664	9	18	+3.0	+7.6	2.7	pk7: 9
#2Bill Sudakis'68-'75 * career totals — 8 seasons, 1,751 PA	2.6	1,751	59	9	233*	310*	430*	-3	+17	7.9	8.2
/162	664	22	3	-1.2	+6.6	3.0	pk7: 8
#3Mike Cubbage'74-'81 * career totals — 7 seasons, 2,221 PA	3.3	2,221	34	6	254*	330*	398*	-1	+25	8.0	8.1
/162	664	10	2	-0.4	+7.4	2.4	pk7: 8
#4Thairo Estradalast yr '25 career totals — 7 seasons, 1,870 PA	2.8	1,870	51	53	251	299	392	+8	+29	7.8	7.8
/162	664	18	19	+2.7	+10.3	2.8	pk7: 8
#5Ryan Robertslast yr '13 career totals — 5 seasons, 1,639 PA	2.5	1,639	45	35	248	323	395	+5	+20	7.5	7.5
/162	664	18	14	+2.0	+8.0	3.0	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	2.9	1,947	57	42	256	302	419	+7	+30	6.8	6.7
/162	664	19	14	+2.4	+10.3	2.3	pk7: 7
#6Bill Pecota'86-'94 * career totals — 8 seasons, 1,729 PA	2.6	1,729	22	52	246*	322*	374*	+6	+24	6.8	6.7
/162	664	8	20	+2.3	+9.4	2.6	pk7: 6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Edmundo Sosa (OGILVIE)	31	45	45	60	25	259/300/432	173	304	6	9	22%	4%	105	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eduardo Núñez 2018 · MLB	31	58→65	49→50	56→60	46	290/324/436	147	311	16	30	13%	4%	114	+2.3	254/285/378	124	279	13	15	14%	4%	85	+0.2	242/267/351	108	267	11	10	14%	3%	72	-0.4
✕Dewayne Wise 2009 · MLB	31	48→40	52→60	59→55	42	244/292/424	180	286	19	25	22%	5%	99	+1.3	237/278/395	158	286	14	20	22%	4%	87	+0.4	238/273/396	158	291	16	27	24%	4%	84	+0.1
✕Will Venable 2014 · MLB	31	52→55	53→55	61→60	45	262/312/449	187	310	19	26	22%	6%	112	+2.2	234/292/362	128	293	13	18	24%	7%	84	+0.2	215/277/310	95	275	9	16	24%	7%	66	-0.7
✕Tyler Greene 2013 · MLB	29	47→50	50	56→55	43	235/297/391	157	308	17	24	29%	7%	93	+0.8	223/270/343	120	322	11	14	33%	5%	72	-0.7	217/259/318	101	325	8	10	34%	4%	59	-1.2
✕Jonathan Villar 2022 · MLB	31	51→60	50	53→65	48	254/321/408	154	319	18	24	26%	9%	106	+1.8	236/291/375	139	303	15	19	26%	7%	87	+0.4	222/266/342	120	290	10	25	26%	6%	68	-0.6
✕Hiram Bocachica 2007 · MLB	31	48	53→55	54→55	49	247/321/422	174	290	21	21	23%	8%	109	+2.0	235/318/397	162	267	19	19	19%	9%	103	+1.6	203/292/360	156	229	17	21	20%	9%	84	+0.1
✕Dylan Moore 2024 · MLB	31	43→49	52→55	55→65	50	217/320/390	173	294	19	29	31%	10%	103	+1.5	206/299/361	155	279	16	32	30%	10%	88	+0.5	189/278/324	136	257	15	36	31%	9%	72	-0.4
✕Jon Berti 2020 · MLB	30	53→62	46→45	60	48	259/328/392	133	322	12	32	23%	8%	105	+1.7	247/336/366	119	318	11	30	23%	11%	102	+1.5	268/335/372	103	335	9	39	21%	8%	103	+0.8
✕Sam Haggerty 2023 · MLB	29	49→43	48→50	62→65	45	241/307/390	148	306	14	32	25%	7%	97	+1.1	251/323/380	129	314	11	35	22%	8%	100	+1.3	242/316/354	112	309	7	38	22%	9%	90	+0.3
✕Drew Stubbs 2015 · MLB	30	50→57	48→50	57→60	44	245/305/392	146	336	16	24	30%	8%	97	+1.1	222/297/354	132	325	14	22	33%	9%	85	+0.2	197/281/304	107	299	11	23	35%	10%	66	-0.5
✕Wynton Bernard 2023 · MLB	32	49→59	46→45	62→60	44	242/286/382	140	287	13	30	21%	5%	86	+0.3	236/282/346	110	292	9	33	22%	6%	77	-0.3	231/279/323	91	291	7	39	22%	5%	66	-0.8
✕Hernán Pérez 2022 · MLB	31	47→57	48→50	52→55	43	238/285/377	138	300	16	15	26%	6%	86	+0.3	218/264/334	116	278	13	20	26%	5%	68	-1.0	201/245/310	110	254	13	20	26%	5%	54	-1.0
✕Chase d'Arnaud 2019 · MLB	32	46→50	46→45	56→60	45	228/288/361	133	290	14	23	26%	7%	83	+0.1	198/263/321	123	283	14	16	33%	7%	65	-1.2	148/216/240	92	221	11	15	37%	6%	28	-2.4
✕Cameron Maybin 2018 · MLB	31	52→60	45→50	57→55	54	252/327/377	125	300	12	30	20%	10%	101	+1.4	251/328/385	134	316	13	20	23%	10%	103	+1.6	255/333/386	131	328	12	16	24%	10%	106	+0.8
✕Dairon Blanco 2023 · AAA	30	48→50	46→45	62→70	41	237/290/363	127	308	14	42	27%	6%	84	+0.2	249/310/375	126	320	13	71	25%	6%	95	+0.9	246/312/366	120	313	12	95	24%	6%	91	+0.3
✕Carlos Gómez 2017 · MLB	31	49→58	50→60	51→65	45	246/308/402	157	307	17	22	26%	7%	100	+1.3	229/306/389	160	293	18	18	27%	7%	97	+1.1	219/303/381	161	280	19	19	27%	6%	94	+0.5
✕Elvis Andrus 2020 · MLB	31	54→61	44→50	53→60	47	264/308/386	122	295	12	20	15%	6%	96	+1.0	245/295/359	114	277	11	17	15%	6%	84	+0.2	245/297/358	113	280	10	17	16%	6%	86	+0.2
✕Ian Desmond 2017 · MLB	31	52→62	51→60	51→55	44	259/312/416	157	326	19	16	26%	7%	105	+1.7	247/306/396	149	306	17	17	24%	7%	98	+1.2	235/298/390	155	287	18	15	24%	7%	95	+0.8
✕Adam Engel 2023 · MLB	31	47→48	46→50	54→60	40	233/287/363	130	303	13	23	27%	5%	83	+0.1	212/284/343	131	308	13	23	33%	8%	78	-0.3	180/264/305	125	272	13	30	36%	9%	59	-1.0
●Harrison Bader 2023 · MLB	29	50→57	50→55	54→55	44	252/303/405	153	295	17	21	21%	6%	99	+1.2	242/293/375	133	289	15	23	21%	6%	88	+0.5	246/306/404	158	305	19	16	25%	6%	101	+0.8

Edmundo Sosa

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps