Delino DeShields

CF Harrisburg Senators

Age 34 R/R 5'7" / 190 lbs AA Svc 12.000 · Ctrl thru 2027

Overview

AAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	30	AAA/INTL2 orgs	106	.194/.279/.237	0	6	34	—	.191/.240/.191
2024	31	INTLAguilas del Z…	47	.250/.348/.275	0	2	83	—
2025	32	AAWSH	127	.262/.372/.320	0	3	65	—	.241/.322/.296
2027PROJ6% MLB	34	MLBWSH	9	.219/.298/.333	0	0	80	0.0
2028PROJ	35	MLBWSH	112	.209/.287/.311	2	1	71	-0.7

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

ContractESTIMATED

Control thru2027Service12.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2019-2021

Speed71

xwOBA23

Avg EV17

Barrel%10

CompsCharlie Culberson (age 33) · Willy Taveras (age 34) · Kristopher Negrón (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†80

AVG/OBP/SLG.219 / .298 / .333

PA9

HR0

K%33

BB%11

BABIP301

ISO122

MLB%6%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

ToolsStatcast %ile · 2019-2021

CONTACT

xAVG

100.217

POWER

Barrel%

102.6

Avg EV

1786.6

SPEED

Sprint

7128.3

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

Status FA

MLB Debut 2015

Service 12.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.0	$0.0M	-$1.0M
Totals		$1M		$0.0M	-$1.0M

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)
2010	17	ROK	Greeneville Astros	—	83	76	22	6	1	0	6	20	0	5	1	289	341	395	736	105	386	24	7	326	38	—	—	—	—	—	—
2011	18	A	Lexington Legends	—	541	469	103	17	2	9	52	118	8	30	11	220	308	322	630	102	271	22	10	284	49	—	—	—	—	—	—
2012	19	A+	Lancaster JetHawks	—	114	97	23	2	3	2	13	23	2	18	5	237	339	381	721	144	288	20	11	321	62	—	—	—	—	—	—
2012	19	A	Lexington Legends	—	523	440	131	22	5	10	70	108	7	83	14	298	402	439	841	141	373	21	13	375	97	—	—	—	—	—	—
2013	20	A+	Lancaster JetHawks	—	534	451	141	23	14	5	57	92	11	51	18	313	403	459	862	146	382	17	11	375	91	—	—	—	—	—	—
2013	20	INTL	Peoria Javelinas	—	82	69	19	4	1	0	12	21	0	8	3	275	383	362	745	87	396	26	15	339	116	—	—	—	—	—	—
2014	21	AA	Corpus Christi Hooks	—	507	411	97	14	2	11	61	112	11	54	14	236	350	360	710	124	293	22	12	312	76	—	—	—	—	—	—
2014	21	INTL	Cangrejeros de Santurce	—	104	89	21	1	2	2	11	21	2	9	3	236	333	360	693	124	284	20	11	311	96	—	—	—	—	—	—
2015	22	MLB	Texas Rangers	—	492	425	111	22	10	2	53	101	3	25	8	261	347	374	721	113	334	21	11	320	93	-4	+2	-5	+2	+11	0.6
2015	22	AAA	Round Rock Express	—	27	26	8	3	0	0	1	6	0	0	0	308	333	423	756	115	400	22	4	336	69	—	—	—	—	—	—
2016	23	MLB	Texas Rangers	—	203	182	38	7	0	4	15	54	2	8	3	209	276	313	590	104	272	27	7	264	59	-10	+0	-0	+2	+4	-0.4
2016	23	AAA	Round Rock Express	—	249	207	54	10	0	3	35	60	1	21	7	261	370	353	723	92	349	24	14	327	78	—	—	—	—	—	—
2016	23	INTL	Yaquis de Obregon	—	19	15	2	0	0	0	1	6	0	2	1	133	188	133	321		222	32	5	132	-25	—	—	—	—	—	—
2017	24	MLB	Texas Rangers	—	440	376	101	15	2	6	44	109	3	29	8	269	350	367	717	98	358	25	10	315	92	-4	+3	+2	-5	+10	0.5
2018	25	MLB	Texas Rangers	—	393	334	72	14	1	2	43	83	3	20	4	216	311	281	592	66	280	21	11	269	61	-18	+2	+8	+1	+9	0.2
2018	25	AA	Frisco RoughRiders	—	26	18	5	0	0	0	8	2	0	2	2	278	500	278	778		312	8	31	389	101	—	—	—	—	—	—
2019	26	MLB	Texas Rangers	—	408	357	89	15	4	4	38	100	3	24	6	249	327	347	674	98	333	25	9	300	82	-9	+2	+6	+2	+9	1.1
2019	26	AAA	Nashville Sounds	—	75	66	17	3	0	3	8	17	0	8	0	258	338	439	777	182	304	23	11	342	67	—	—	—	—	—	—
2020	27	MLB	Cleveland Indians	—	120	107	27	3	2	0	9	29	0	3	2	252	310	318	628	65	346	24	8	277	76	-3	-0	-0	+0	+3	-0.1
2021	28	MLB	Cincinnati Reds	—	58	47	12	5	0	1	9	11	0	2	1	255	375	426	801	170	314	19	16	348	119	+1	+0	-1	+2	+1	0.4
2021	28	AAA	Worcester Red Sox	—	381	309	78	13	2	6	63	86	4	21	3	252	386	366	751	113	330	23	17	344	67	—	—	—	—	—	—
2021	28	INTL	Tigres del Licey	—	26	22	2	2	0	0	3	6	0	2	0	91	200	182	382	91	125	23	12	179	7	—	—	—	—	—	—
2022	29	AAA	Gwinnett Stripers	—	426	337	74	12	0	1	77	116	4	35	11	220	371	264	635	45	326	27	18	304	51	—	—	—	—	—	—
2023	30	AAA	Tacoma Rainiers	—	50	45	10	0	0	0	5	8	0	3	2	222	300	222	522		270	16	10	251	26	—	—	—	—	—	—
2023	30	INTL	Sultanes de Monterrey	—	56	48	8	2	1	0	6	14	0	3	0	167	259	250	509	83	235	25	11	230	42	—	—	—	—	—	—
2024	31	INTL	Aguilas del Zulia	—	47	40	10	1	0	0	5	9	1	2	0	250	348	275	623	25	323	19	11	290	83	—	—	—	—	—	—
2025	32	AA	Harrisburg Senators	—	127	103	27	4	1	0	16	35	2	3	1	262	372	320	692	58	397	28	13	309	65	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2114	1828	450	81	19	19	211	487	14	111	32	246	329	342	671	96	323	23	10	299	88	-30	+9	+9	+4	+46	4.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	Greeneville Astros	—	83	78	16	4	1	0	4	28	0	5	1	205	244	282	526	77	305	34	5	225	38	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	541	485	95	15	2	7	36	159	8	30	11	196	263	278	541	82	260	29	7	240	49	—	—	—	—	—	—
2012	19	A+ MLE	Lancaster JetHawks	—	114	101	21	2	2	2	9	32	2	18	5	208	286	327	612	119	263	28	8	260	62	—	—	—	—	—	—
2012	19	A MLE	Lexington Legends	—	523	467	122	19	5	8	43	138	7	83	14	261	333	375	707	113	346	26	8	312	97	—	—	—	—	—	—
2013	20	A+ MLE	Lancaster JetHawks	—	534	468	124	18	10	4	40	132	11	51	18	265	337	372	709	107	342	25	7	303	91	—	—	—	—	—	—
2014	21	AA MLE	Corpus Christi Hooks	—	507	427	95	14	2	10	45	138	11	54	14	222	313	335	648	112	276	27	9	280	76	—	—	—	—	—	—
2015	22	MLB MLE	Texas Rangers	—	492	426	110	21	10	2	52	101	3	25	8	258	343	369	712	110	334	21	11	306	93	-4	+2	-5	+2	+11	0.6
2015	22	AAA MLE	Round Rock Express	—	27	26	6	2	0	0	1	8	0	0	0	231	259	308	567	77	359	30	4	270	69	—	—	—	—	—	—
2016	23	MLB MLE	Texas Rangers	—	203	182	38	7	0	4	15	54	2	8	3	209	276	313	590	104	272	27	7	255	59	-10	+0	-0	+2	+4	-0.4
2016	23	AAA MLE	Round Rock Express	—	249	217	52	8	0	3	25	77	1	21	7	240	321	318	639	78	338	31	10	283	78	—	—	—	—	—	—
2017	24	MLB MLE	Texas Rangers	—	440	376	100	14	2	6	44	109	3	29	8	266	348	362	709	96	358	25	10	304	92	-4	+3	+2	-5	+10	0.5
2018	25	MLB MLE	Texas Rangers	—	393	334	71	13	1	2	43	83	3	20	4	213	308	275	583	63	280	21	11	259	61	-18	+2	+8	+1	+9	0.2
2018	25	AA MLE	Frisco RoughRiders	—	26	21	5	0	0	0	5	3	0	2	2	238	385	238	623		287	12	19	318	101	—	—	—	—	—	—
2019	26	MLB MLE	Texas Rangers	—	408	357	88	14	4	4	38	100	3	24	6	246	324	342	666	95	333	25	9	290	82	-9	+2	+6	+2	+9	1.1
2019	26	AAA MLE	Nashville Sounds	—	75	68	14	2	0	2	6	22	0	8	0	206	270	324	594	118	265	29	8	267	67	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	120	107	27	3	2	0	9	29	0	3	2	252	310	318	628	65	346	24	8	281	76	-3	-0	-0	+0	+3	-0.1
2021	28	MLB MLE	Cincinnati Reds	—	58	47	12	5	0	1	9	11	0	2	1	255	375	426	801	170	314	19	16	344	119	+1	+0	-1	+2	+1	0.4
2021	28	AAA MLE	Worcester Red Sox	—	381	330	69	11	2	3	42	101	4	21	3	209	306	282	588	73	284	27	11	267	67	—	—	—	—	—	—
2022	29	AAA MLE	Gwinnett Stripers	—	426	362	68	10	0	1	52	139	4	35	11	188	297	224	520	36	286	33	12	243	51	—	—	—	—	—	—
2023	30	AAA MLE	Tacoma Rainiers	—	50	47	9	0	0	0	3	9	0	3	2	191	240	191	431		245	18	6	206	26	—	—	—	—	—	—
2025	32	AA MLE	Harrisburg Senators	—	127	108	26	4	1	0	11	43	2	3	1	241	322	296	619	56	363	34	9	265	65	—	—	—	—	—	—
2010	17	ROK MLE	Greeneville Astros	—	83	78	16	4	1	0	4	28	0	5	1	205	244	282	526	77	314	34	5	225	38	—	—	—	—	—	—
2010	17	ROK RAW	Greeneville Astros	—	83	76	22	6	1	0	6	20	0	5	1	289	341	395	736	105	386	24	7	326	38	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	541	485	95	15	2	7	36	159	8	30	11	196	263	278	541	82	272	29	7	240	49	—	—	—	—	—	—
2011	18	A RAW	Lexington Legends	—	541	469	103	17	2	9	52	118	8	30	11	220	308	322	630	102	271	22	10	284	49	—	—	—	—	—	—
2012	19	A MLE	2 teams	—	637	568	142	20	7	10	52	170	9	101	19	250	323	363	685	113	338	27	8	303	91	—	—	—	—	—	—
2012	19	A RAW	2 teams	—	637	537	154	24	8	12	83	131	9	101	19	287	391	428	819	142	358	21	13	365	91	—	—	—	—	—	—
2013	20	A+ MLE	2 teams	—	616	543	143	21	11	5	46	153	11	59	21	263	333	370	703	107	357	25	7	303	91	—	—	—	—	—	—
2013	20	A+ RAW	2 teams	—	616	520	160	27	15	5	69	113	11	59	21	308	400	446	846	138	384	18	11	370	91	—	—	—	—	—	—
2014	21	AA MLE	2 teams	—	611	518	115	17	3	12	54	167	13	63	17	222	311	336	647	114	298	27	9	280	76	—	—	—	—	—	—
2014	21	AA RAW	2 teams	—	611	500	118	15	4	13	72	133	13	63	17	236	347	360	707	124	291	22	12	312	76	—	—	—	—	—	—
2015	22	MLB MLE	2 teams	—	519	452	116	23	10	2	53	109	3	25	8	257	339	365	704	108	330	21	10	304	92	-5	+2	-5	+2	+11	0.5
2015	22	MLB RAW	2 teams	—	519	451	119	25	10	2	54	107	3	25	8	264	346	377	723	113	338	21	10	321	92	-5	+2	-5	+2	+11	0.5
2016	23	AAA MLE	3 teams	—	471	413	93	15	0	7	42	137	3	31	11	225	301	312	614	87	316	29	9	271	69	—	—	—	—	—	—
2016	23	AAA RAW	3 teams	—	471	404	94	17	0	7	51	120	3	31	11	233	323	327	650	94	311	25	11	292	69	—	—	—	—	—	—
2017	24	MLB MLE	Texas Rangers	—	440	376	100	14	2	6	44	109	3	29	8	266	348	362	709	96	355	25	10	304	92	-4	+3	+2	-5	+10	0.5
2017	24	MLB RAW	Texas Rangers	—	440	376	101	15	2	6	44	109	3	29	8	269	350	367	717	98	358	25	10	315	92	-4	+3	+2	-5	+10	0.5
2018	25	MLB MLE	2 teams	—	419	355	76	13	1	2	48	86	3	22	6	214	313	273	586	59	276	21	11	262	64	-18	+2	+8	+1	+9	0.3
2018	25	MLB RAW	2 teams	—	419	352	77	14	1	2	51	85	3	22	6	219	323	281	604	62	282	20	12	276	64	-18	+2	+8	+1	+9	0.3
2019	26	MLB MLE	2 teams	—	483	425	102	17	4	6	44	122	3	32	6	240	316	341	657	101	321	25	9	286	80	-12	+4	+6	+2	+10	1.1
2019	26	MLB RAW	2 teams	—	483	423	106	18	4	7	46	117	3	32	6	251	328	362	690	111	329	24	10	307	80	-12	+4	+6	+2	+10	1.1
2020	27	MLB MLE	Cleveland Indians	—	120	107	27	3	2	0	9	29	0	3	2	252	310	318	628	65	346	24	8	281	76	-3	-0	-0	+0	+3	-0.1
2020	27	MLB RAW	Cleveland Indians	—	120	107	27	3	2	0	9	29	0	3	2	252	310	318	628	65	346	24	8	277	76	-3	-0	-0	+0	+3	-0.1
2021	28	AAA MLE	3 teams	—	465	399	86	17	2	4	54	119	4	25	4	216	315	298	613	83	296	26	12	277	74	—	—	—	—	—	—
2021	28	AAA RAW	3 teams	—	465	378	92	20	2	7	75	103	4	25	4	243	374	362	737	119	316	22	16	335	74	—	—	—	—	—	—
2022	29	AAA MLE	Gwinnett Stripers	—	426	362	68	10	0	1	52	139	4	35	11	188	297	224	520	36	296	33	12	243	51	—	—	—	—	—	—
2022	29	AAA RAW	Gwinnett Stripers	—	426	337	74	12	0	1	77	116	4	35	11	220	371	264	635	45	326	27	18	304	51	—	—	—	—	—	—
2023	30	INTL MLE	2 teams	—	106	97	19	0	0	0	7	20	0	6	2	196	250	196	446		247	19	7	206	26	—	—	—	—	—	—
2023	30	INTL RAW	2 teams	—	106	93	18	2	1	0	11	22	0	6	2	194	279	237	515	43	254	21	10	240	26	—	—	—	—	—	—
2024	31	INTL MLE	Aguilas del Zulia	—	47	40	10	1	0	0	5	9	1	2	0	250	348	275	623	25	323	19	11	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Aguilas del Zulia	—	47	40	10	1	0	0	5	9	1	2	0	250	348	275	623	25	323	19	11	290	83	—	—	—	—	—	—
2025	32	AA MLE	Harrisburg Senators	—	127	108	26	4	1	0	11	43	2	3	1	241	322	296	619	56	400	34	9	265	65	—	—	—	—	—	—
2025	32	AA RAW	Harrisburg Senators	—	127	103	27	4	1	0	16	35	2	3	1	262	372	320	692	58	397	28	13	309	65	—	—	—	—	—	—
2010	17	ROK MLE	Greeneville Astros	—	83	79	16	4	1	0	4	28	0	5	1	203	244	278	522	76	305	34	5	225	38	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	541	492	95	15	2	7	36	159	8	30	11	193	263	274	537	81	260	29	7	240	49	—	—	—	—	—	—
2012	19	A MLE	2 teams	—	637	571	142	20	7	10	52	170	9	101	19	249	323	361	684	112	331	27	8	303	91	—	—	—	—	—	—
2013	20	A+ MLE	2 teams	—	616	554	143	21	11	5	46	153	11	59	21	258	333	363	696	105	342	25	7	303	91	—	—	—	—	—	—
2014	21	AA MLE	2 teams	—	611	539	115	17	3	12	54	167	13	63	17	213	311	323	634	109	276	27	9	280	76	—	—	—	—	—	—
2015	22	MLB MLE	2 teams	—	519	458	116	23	10	2	53	109	3	25	8	253	339	360	699	107	336	21	10	304	92	—	—	—	—	—	—
2016	23	AAA MLE	3 teams	—	471	423	93	15	0	7	42	137	3	31	11	220	301	305	606	85	308	29	9	271	69	—	—	—	—	—	—
2017	24	MLB MLE	Texas Rangers	—	440	390	100	14	2	6	44	109	3	29	8	256	348	349	696	92	358	25	10	304	92	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	419	365	76	13	1	2	48	86	3	22	6	208	313	266	579	58	280	21	11	262	64	—	—	—	—	—	—
2019	26	MLB MLE	2 teams	—	483	433	102	17	4	6	44	122	3	32	6	236	316	335	651	99	323	25	9	286	80	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	120	110	27	3	2	0	9	29	0	3	2	245	310	309	619	64	346	24	8	281	76	—	—	—	—	—	—
2021	28	AAA MLE	3 teams	—	465	404	86	17	2	4	54	119	4	25	4	213	315	295	610	82	288	26	12	277	74	—	—	—	—	—	—
2022	29	AAA MLE	Gwinnett Stripers	—	426	367	68	10	0	1	52	139	4	35	11	185	297	221	517	35	286	33	12	243	51	—	—	—	—	—	—
2023	30	INTL MLE	2 teams	—	106	98	19	0	0	0	7	20	0	6	2	194	250	194	444		245	19	7	206	26	—	—	—	—	—	—
2025	32	AA MLE	Harrisburg Senators	—	127	113	26	4	1	0	11	43	2	3	1	230	322	283	605	53	363	34	9	265	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	32	AA MLE	Harrisburg Senators	—	127	113	26	4	1	0	11	43	2	3	1	230	322	283	605	53	363	34	9	265	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	WSH	6%	237	211	45	8	1	4	21	69	3	5	1	220	299	335	634	115	302	29	9	287	80	-6	+1	-0	+1	+5	0.1
▸ 2027 — real world (MLB)
2027	34	MLB CTX	WSH	6%	9	8	1	0	0	0	1	3	0	0	0	219	298	333	631	113	301	33	11	286	80	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	WSH	100%	112	100	22	4	1	2	10	34	1	1	0	210	287	313	601	103	293	30	9	274	71	-4	+0	-6	+0	+2	-0.7
2028	35	MLB CTX	WSH	100%	112	100	22	4	1	2	10	34	1	1	0	209	287	311	598	102	292	30	9	273	71	-4	+0	-6	+0	+2	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2226	1928	472	85	20	21	221	521	15	112	32	245	327	342	669	98	322	23	10	297	73	-33	+10	+4	+5	+48	3.3
/ 162G	—	A+C		—	650	563	138	25	6	6	65	152	4	33	9	245	328	343	670	98	323	23	10	297	73	-10	+3	+1	+1	+14	1.0
Career	—	MLE		—	6370	5557	1285	203	48	67	584	1676	70	475	129	231	312	321	633	90	316	26	9	276	73	-37	+10	+4	+5	+51	3.4
/ 162G	—	MLE		—	650	567	132	21	5	7	60	171	7	48	13	233	314	325	638	92	318	26	9	276	73	-10	+3	+1	+1	+14	0.9

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.

2025 AAHarrisburg Senators · 127 PAwOBA .302 → .265 (−37)K% 27.6% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.56%	÷0.997	×1.220	—	—	33.74%
BB% (unintentional) /PA	12.60%	÷0.967	×0.700	—	×0.940	8.57%
HBP% /PA	1.57%	—	×0.850	—	×0.940	1.26%
Singles /BIP	32.35%	÷1.009	×0.970	×1.006	×0.940	29.43%
Doubles /BIP	5.88%	÷0.887	×0.860	×1.006	×0.940	5.40%
Triples /BIP	1.47%	÷0.913	×0.950	×1.006	×0.940	1.45%
Home runs /BIP	0.00%	÷0.963	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 93, 1B 102, 2B 77, 3B 83, K 99, BB 93 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .302 → .265; ISO .058 → .058; BABIP .397 → .363. 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 AAATacoma Rainiers · 50 PAwOBA .245 → .206 (−39)K% 16.0% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.024	×1.200	—	—	18.75%
BB% (unintentional) /PA	10.00%	÷1.013	×0.690	—	×0.962	6.55%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	27.03%	÷0.989	×0.930	—	×0.962	24.45%
Doubles /BIP	0.00%	÷0.940	×0.830	—	×0.962	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.157	×0.700	—	×0.962	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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).

Result: wOBA .245 → .206; ISO .000 → .000; BABIP .270 → .245. 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 AAAGwinnett Stripers · 426 PAwOBA .300 → .243 (−57)K% 27.2% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.23%	÷1.002	×1.200	—	—	32.62%
BB% (unintentional) /PA	18.08%	÷0.998	×0.690	—	×0.972	12.15%
HBP% /PA	0.94%	—	×0.940	—	×0.972	0.86%
Singles /BIP	27.60%	÷1.018	×0.930	×0.998	×0.972	24.47%
Doubles /BIP	5.43%	÷0.966	×0.830	×0.998	×0.972	4.52%
Triples /BIP	0.00%	÷1.150	×0.970	×0.998	×0.972	0.00%
Home runs /BIP	0.45%	÷0.981	×0.700	—	×0.972	0.31%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — 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 ×0.998.

Result: wOBA .300 → .243; ISO .045 → .038; BABIP .326 → .286. 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 AAAWorcester Red Sox · 381 PAwOBA .336 → .267 (−70)K% 22.6% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.57%	÷1.021	×1.200	—	—	26.54%
BB% (unintentional) /PA	16.54%	÷1.008	×0.690	—	×0.982	11.12%
HBP% /PA	1.05%	—	×0.940	—	×0.982	0.97%
Singles /BIP	25.56%	÷0.974	×0.930	×0.950	×0.982	22.77%
Doubles /BIP	5.83%	÷0.992	×0.830	×0.950	×0.982	4.55%
Triples /BIP	0.90%	÷1.023	×0.920	×0.950	×0.982	0.75%
Home runs /BIP	2.69%	÷1.318	×0.700	—	×0.982	1.40%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 95, 2B 98, 3B 105, K 104, BB 102 — 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 ×0.950.

Result: wOBA .336 → .267; ISO .113 → .078; BABIP .330 → .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).

2019 AAANashville Sounds · 75 PAwOBA .333 → .267 (−65)K% 22.7% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷1.015	×1.290	—	—	28.82%
BB% (unintentional) /PA	10.67%	÷0.988	×0.710	—	×1.003	7.69%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	22.45%	÷1.007	×0.900	—	×1.003	20.12%
Doubles /BIP	6.12%	÷0.967	×0.810	—	×1.003	5.14%
Triples /BIP	0.00%	÷1.069	×0.810	—	×1.003	0.00%
Home runs /BIP	6.12%	÷0.998	×0.780	—	×1.003	4.80%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 101, 2B 93, 3B 114, K 103, BB 98 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .333 → .267; ISO .182 → .141; BABIP .304 → .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).

2018 AAFrisco RoughRiders · 26 PAwOBA .382 → .318 (−63)K% 7.7% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷0.922	×1.220	—	—	10.17%
BB% (unintentional) /PA	30.77%	÷1.021	×0.700	—	×0.988	20.85%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	31.25%	÷0.988	×0.920	—	×0.988	28.75%
Doubles /BIP	0.00%	÷0.993	×0.840	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.150	×0.940	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.088	×0.800	—	×0.988	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 118, 1B 98, 2B 99, 3B 130, K 84, BB 104 — 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).

Result: wOBA .382 → .318; ISO .000 → .000; BABIP .312 → .287. 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 AAARound Rock Express · 249 PAwOBA .322 → .283 (−39)K% 24.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.10%	÷1.004	×1.290	—	—	30.97%
BB% (unintentional) /PA	14.06%	÷1.039	×0.710	—	×1.048	10.06%
HBP% /PA	0.40%	—	×0.980	—	×1.048	0.41%
Singles /BIP	27.89%	÷0.949	×0.900	×1.015	×1.048	28.12%
Doubles /BIP	6.80%	÷1.079	×0.810	×1.015	×1.048	5.43%
Triples /BIP	0.00%	÷0.977	×0.810	×1.015	×1.048	0.00%
Home runs /BIP	2.04%	÷0.839	×0.780	—	×1.048	1.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 68, 1B 90, 2B 116, 3B 95, K 101, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .322 → .283; ISO .092 → .080; BABIP .349 → .338. 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 AAARound Rock Express · 27 PAwOBA .327 → .270 (−57)K% 22.2% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.031	×1.290	—	—	27.81%
BB% (unintentional) /PA	3.70%	÷1.014	×0.710	—	×1.050	2.72%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	25.00%	÷1.007	×0.900	—	×1.050	23.47%
Doubles /BIP	15.00%	÷1.029	×0.810	—	×1.050	12.40%
Triples /BIP	0.00%	÷0.900	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.184	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 137, 1B 101, 2B 106, 3B 80, K 106, BB 103 — 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).

Result: wOBA .327 → .270; ISO .115 → .089; BABIP .400 → .359. 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
#1Bob Dernier'80-'89 * career totals — 8 seasons, 2,757 PA	4.2	2,757	23	218	253*	317*	360*	+2	+22	6.7	7.2
/162	664	6	53	+0.6	+5.3	1.6	pk7: 8
#2Gerald Young'87-'94 * career totals — 6 seasons, 2,083 PA	3.1	2,083	3	155	246*	332*	329*	+4	+9	5.1	5.5
/162	664	1	49	+1.2	+2.9	1.6	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.4	2,235	21	112	240	317	335	+6	+6	5.3	5.4
/162	664	6	33	+1.9	+1.9	1.6	pk7: 6
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#4Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
#5Chuck Carr'90-'97 * career totals — 6 seasons, 1,914 PA	2.9	1,914	13	144	242*	306*	331*	+6	+20	2.6	2.6
/162	664	5	50	+2.1	+7.1	0.9	pk7: 3
#6Travis Jankowskilast yr '25 career totals — 9 seasons, 1,718 PA	2.6	1,718	11	100	238	321	309	-9	+11	2.1	2.5
/162	664	4	39	-3.6	+4.2	0.8	pk7: 3

Career Path Comps

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

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Delino DeShields (OGILVIE)	34	—	—	—	—	218/296/332	114	302	3	3	29%	9%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Charlie Culberson 2022 · MLB	33	49→54	47→45	53→50	44	241/292/382	142	301	13	13	24%	6%	89	+0.5	226/271/339	113	305	11	12	28%	6%	71	-0.8	206/235/275	69	295	7	12	32%	4%	43	-0.5
✕Willy Taveras 2016 · AAA	34	47→57	42→45	59→65	44	230/285/335	105	277	9	28	20%	6%	76	-0.4	243/294/349	106	295	8	21	20%	4%	82	+0.0	247/297/348	101	301	8	22	20%	4%	80	-0.1
✕Kristopher Negrón 2019 · MLB	33	44→49	45	54→55	39	217/273/341	124	302	13	16	32%	6%	73	-0.6	227/287/352	125	328	14	14	33%	7%	81	-0.1	227/288/343	116	327	14	14	33%	7%	78	-0.2
✕Tim Torres 2017 · AAA	33	51→49	44→45	55	45	246/304/370	124	320	11	20	26%	7%	91	+0.6	242/309/370	128	322	13	18	27%	9%	93	+0.8	238/321/351	114	321	12	20	28%	11%	96	+0.3
✕Jerry Owens 2016 · AAA	35	52→62	42→40	56→65	49	251/312/362	111	307	8	21	20%	8%	91	+0.7	257/305/355	98	301	8	14	17%	6%	87	+0.4	329/358/368	39	371	0	14	11%	4%	105	+0.3
✕Shane Robinson 2019 · MLB	34	48→56	37→45	58→55	46	227/269/301	74	260	4	19	14%	5%	61	-1.5	228/285/328	100	252	11	14	14%	7%	74	-0.5	227/291/312	85	242	11	11	12%	8%	72	-0.4
✕Jonathan Davis 2024 · MLB	32	46→52	44→45	55	48	224/301/347	123	296	11	21	27%	9%	85	+0.2	217/291/331	114	310	10	14	31%	8%	78	-0.3	188/273/268	80	289	6	14	34%	8%	53	-1.0
✕Grégor Blanco 2018 · MLB	34	51→61	41→45	58→60	54	244/321/350	106	302	7	23	21%	10%	93	+0.8	214/278/331	117	277	12	15	26%	8%	72	-0.7	198/259/311	113	255	12	12	26%	7%	60	-1.1
✕Daniel Mayora 2019 · AAA	34	58→57	43→45	52→50	45	283/329/396	113	337	11	15	19%	6%	105	+1.7	263/312/387	124	309	12	6	18%	6%	97	+1.1	276/323/397	120	321	11	1	17%	5%	102	+1.3
✕Ryan LaMarre 2023 · MLB	34	48→52	45	51→60	44	231/309/356	124	315	12	21	29%	7%	91	+0.6	217/290/341	124	310	13	19	32%	7%	80	-0.2	141/221/232	91	216	10	33	38%	7%	26	-0.7
✕Kevin Kiermaier 2024 · MLB	34	51→58	47→55	57→55	47	251/311/398	147	311	13	17	23%	7%	99	+1.3	228/280/364	136	298	13	14	27%	6%	80	-0.1	196/236/312	117	269	10	13	31%	4%	53	-1.0
✕Eddy Alvarez 2024 · MLB	34	48→54	46→50	55	46	235/317/370	136	311	13	20	27%	8%	97	+1.1	202/279/335	133	265	14	20	28%	7%	75	-0.5	177/258/306	129	228	15	22	29%	7%	58	-0.9
✕Danny Richar 2016 · AAA	33	56→60	42→55	58→50	46	266/315/376	109	326	8	21	20%	6%	95	+1.0	237/287/338	101	298	8	14	22%	6%	76	-0.4	199/241/252	53	256	0	3	21%	5%	38	-0.8
✕Hernán Pérez 2024 · MLB	33	45→55	45→50	54→55	42	226/273/344	118	287	13	21	26%	6%	73	-0.6	206/254/330	124	263	14	13	27%	6%	63	-1.3	165/208/277	113	202	13	9	26%	5%	32	-1.8
✕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
✕Jace Peterson 2023 · MLB	33	48→57	48→50	56→55	53	237/323/383	145	302	15	18	26%	11%	101	+1.4	217/300/331	114	276	12	17	24%	10%	81	-0.1	203/293/293	90	259	9	21	23%	10%	71	-0.6
✕Jake Marisnick 2024 · MLB	33	45→55	45→60	55	41	219/284/349	130	298	11	20	29%	6%	79	-0.2	214/279/365	151	293	16	15	31%	7%	81	-0.1	207/274/385	178	281	21	15	33%	7%	81	-0.0
✕Andrew Romine 2021 · MLB	35	46→55	42→40	55	43	225/272/327	102	272	10	19	21%	5%	69	-0.9	231/281/321	90	298	8	9	24%	6%	70	-0.8	235/280/294	59	309	3	3	24%	5%	61	-0.8
✕Julio Lugo 2010 · MLB	34	54→62	41→45	57→60	55	255/327/360	106	295	7	21	16%	9%	97	+1.1	234/294/317	83	285	6	12	19%	7%	74	-0.5	220/269/259	40	274	1	9	19%	6%	51	-0.7
✕Ildelfonso Lara 2009 · AAA	34	48→51	42→45	50→45	47	233/291/341	108	288	9	6	22%	7%	79	-0.2	229/288/340	111	296	11	8	25%	7%	78	-0.3	227/285/319	92	295	10	5	25%	6%	70	-0.4

Delino DeShields

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps