Andrew Benintendi

LF Chicago White Sox

Age 33 L/L 5'9" / 185 lbs MLB HR +4% Svc 9.686 · Ctrl thru 2027

Overview

MLB40-MANExtFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	MLBCWS	522	.229/.291/.396	20	3	90	-1.0
2025	31	MLBCWS	470	.240/.310/.431	20	1	102	-0.3
2026	32	MLBCWS	468	.240/.306/.413	15	1	97	0.2
2027PROJ	33	MLBCWS	352	.249/.314/.430	13	2	107	0.4
2028PROJ	34	MLBCWS	294	.237/.302/.405	10	1	96	-0.5

Last 3 seasons WAR -1.0 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.686First FA2028

2027Ext$15M

Skills · percentileStatcast 2024-2026

Barrel%53

xwOBA53

Avg EV41

Speed32

Bat Spd31

Form.234/.300/.407 ▼ rolling true talent (60d window) · proj .247/.310/.426

CompsYadiel Hernandez (age 34) · Garrett Jones (age 33) · Greg Dobbs (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 106107vR 107

AVG/OBP/SLG.249 / .314 / .430

PA352

HR13

K%21

BB%8

BABIP283

ISO186

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

360.239

POWER

Barrel%

538.6

Avg EV

4188.4

Bat Spd

3169.3

SPEED

Sprint

3226.6

Recent Formrolling true talent ⓘ

K%24%▼▼27% over 71 PA (60d) · proj 21%

BB%8%·8% over 71 PA (60d) · proj 8%

ISO.172·.156 over 64 AB (60d) · proj .179

HR/BB4.9%·4.3% over 46 BBE (60d) · proj 5.1%

BABIP.280·.250 over 44 BIP (60d) · proj .282

SLASH.234/.300/.407▼proj .247/.310/.426

Platoon Splits2024-2026 · 1068 PA

vs LHP

vs RHP

Edge

218

850

—

wRC+

—

wOBA

309

312

—

ISO

196

175

◀L

BABIP

262

253

◀L

22.9%

18.1%

▶▶R

BB%

4.6%

8.6%

▶▶R

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

Status FA

MLB Debut 2016

Service 9.686 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$15M	+0.4	$2M	-$13M
Totals		$15M		$2M	-$13M

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)
2015	21	A	Greenville Drive	—	86	74	26	5	0	4	10	9	1	3	2	351	435	581	1.016	230	355	10	12	440	133	—	—	—	—	—	—
2016	22	MLB	Boston Red Sox	—	118	105	31	11	1	2	10	25	1	1	0	295	362	476	838	181	367	21	8	364	124	+3	+0	-1	-6	+3	-0.1
2016	22	AA	Portland Sea Dogs	—	263	237	70	18	5	8	24	30	0	8	7	295	360	515	875	219	308	11	9	380	93	—	—	—	—	—	—
2016	22	A+	Salem Red Sox	—	155	135	46	13	7	1	15	9	3	8	2	341	418	563	981	222	354	6	10	422	116	—	—	—	—	—	—
2017	23	MLB	Boston Red Sox	—	658	573	155	26	1	20	70	112	6	20	5	271	356	424	780	154	301	17	11	346	111	+9	+2	-5	-7	+14	1.3
2018	24	MLB	Boston Red Sox	—	661	579	168	41	6	16	71	106	2	21	3	290	370	465	834	174	328	16	11	366	127	+21	+3	-1	-7	+14	3.1
2019	25	MLB	Boston Red Sox	—	615	541	144	40	5	13	59	140	7	10	3	266	346	431	777	165	333	23	10	342	111	+8	+1	-8	-7	+13	0.8
2020	26	MLB	Boston Red Sox	—	52	39	4	1	0	0	11	17	1	1	2	103	314	128	442	26	182	33	21	239	45	-3	-1	+0	-1	+1	-0.3
2021	27	MLB	Kansas City Royals	—	538	493	136	27	2	17	36	97	2	8	9	276	328	442	770	166	309	18	7	337	118	+12	-2	-3	-6	+12	1.3
2022	28	MLB	New York Yankees	—	521	461	140	23	3	5	52	77	2	8	3	304	377	399	776	95	352	15	10	348	121	+13	+0	-5	-6	+11	1.5
2023	29	MLB	Chicago White Sox	—	621	562	147	34	2	5	52	89	3	13	2	262	327	356	683	94	301	14	8	309	91	-7	+2	-14	-7	+13	-1.2
2024	30	MLB	Chicago White Sox	—	522	477	109	20	0	20	41	96	1	3	2	229	291	396	687	168	245	18	8	305	90	-6	-0	-9	-6	+11	-1.0
2025	31	MLB	Chicago White Sox	—	470	420	101	16	2	20	40	82	3	1	0	240	310	431	741	190	250	17	9	325	102	+1	+0	-9	-5	+10	-0.3
2026	32	MLB	Chicago White Sox	—	468	421	101	24	2	15	39	112	1	1	0	240	306	413	719	173	287	24	8	315	97	-2	+0	-1	-5	+10	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5244	4671	1236	263	24	133	481	953	29	87	29	265	337	417	754	152	303	18	9	333	112	+74	+6	-56	-61	+114	7.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	21	A MLE	Greenville Drive	—	86	78	24	4	0	4	6	12	1	3	2	308	365	513	878	205	305	14	7	365	133	—	—	—	—	—	—
2016	22	MLB MLE	Boston Red Sox	—	118	105	30	10	1	2	10	25	1	1	0	286	353	457	811	171	367	21	8	351	124	+3	+0	-1	-6	+3	-0.1
2016	22	AA MLE	Portland Sea Dogs	—	263	246	63	16	5	5	15	37	0	8	7	256	299	423	722	167	274	14	6	306	93	—	—	—	—	—	—
2016	22	A+ MLE	Salem Red Sox	—	155	142	39	10	5	1	8	13	3	8	2	275	327	437	763	162	295	8	5	340	116	—	—	—	—	—	—
2017	23	MLB MLE	Boston Red Sox	—	658	580	151	23	1	21	63	112	6	20	5	260	339	412	751	152	301	17	10	333	111	+9	+2	-5	-7	+14	1.3
2018	24	MLB MLE	Boston Red Sox	—	661	580	162	36	7	16	70	106	2	21	3	279	359	448	807	169	328	16	11	356	127	+21	+3	-1	-7	+14	3.1
2019	25	MLB MLE	Boston Red Sox	—	615	542	140	36	6	13	58	140	7	10	3	258	338	419	757	161	333	23	9	333	111	+8	+1	-8	-7	+13	0.8
2020	26	MLB MLE	Boston Red Sox	—	52	39	4	1	0	0	11	17	1	1	2	103	314	128	442	26	182	33	21	235	45	-3	-1	+0	-1	+1	-0.3
2021	27	MLB MLE	Kansas City Royals	—	538	493	138	27	2	18	36	97	2	8	9	280	331	452	784	172	309	18	7	343	118	+12	-2	-3	-6	+12	1.3
2022	28	MLB MLE	New York Yankees	—	521	461	140	23	3	5	52	77	2	8	3	304	377	399	776	95	352	15	10	347	121	+13	+0	-5	-6	+11	1.5
2023	29	MLB MLE	Chicago White Sox	—	621	567	147	34	2	5	47	89	3	13	2	259	319	353	672	93	301	14	8	302	91	-7	+2	-14	-7	+13	-1.2
2024	30	MLB MLE	Chicago White Sox	—	522	478	109	20	0	20	40	96	1	3	2	228	289	395	684	167	245	18	8	302	90	-6	-0	-9	-6	+11	-1.0
2025	31	MLB MLE	Chicago White Sox	—	470	423	101	16	2	20	38	82	3	1	0	239	306	428	734	189	250	17	8	320	102	+1	+0	-9	-5	+10	-0.3
2026	32	MLB MLE	Chicago White Sox	—	468	422	101	24	2	15	38	112	1	1	0	239	304	412	716	173	287	24	8	312	97	-2	+0	-1	-5	+10	0.2
2015	21	A MLE	Greenville Drive	—	86	78	24	4	0	4	6	12	1	3	2	308	365	513	878	205	317	14	7	365	133	—	—	—	—	—	—
2015	21	A RAW	Greenville Drive	—	86	74	26	5	0	4	10	9	1	3	2	351	435	581	1.016	230	355	10	12	440	133	—	—	—	—	—	—
2016	22	AA MLE	3 teams	—	536	492	132	36	11	8	34	76	4	17	9	268	321	435	756	167	300	14	6	326	107	—	—	—	—	—	—
2016	22	AA RAW	3 teams	—	536	477	147	42	13	11	49	64	4	17	9	308	377	520	897	212	334	12	9	389	107	—	—	—	—	—	—
2017	23	MLB MLE	Boston Red Sox	—	658	580	151	23	1	21	63	112	6	20	5	260	339	412	751	152	286	17	10	333	111	+9	+2	-5	-7	+14	1.3
2017	23	MLB RAW	Boston Red Sox	—	658	573	155	26	1	20	70	112	6	20	5	271	356	424	780	154	301	17	11	346	111	+9	+2	-5	-7	+14	1.3
2018	24	MLB MLE	Boston Red Sox	—	661	580	162	36	7	16	70	106	2	21	3	279	359	448	807	169	314	16	11	356	127	+21	+3	-1	-7	+14	3.1
2018	24	MLB RAW	Boston Red Sox	—	661	579	168	41	6	16	71	106	2	21	3	290	370	465	834	174	328	16	11	366	127	+21	+3	-1	-7	+14	3.1
2019	25	MLB MLE	Boston Red Sox	—	615	542	140	36	6	13	58	140	7	10	3	258	338	419	757	161	322	23	9	333	111	+8	+1	-8	-7	+13	0.8
2019	25	MLB RAW	Boston Red Sox	—	615	541	144	40	5	13	59	140	7	10	3	266	346	431	777	165	333	23	10	342	111	+8	+1	-8	-7	+13	0.8
2020	26	MLB MLE	Boston Red Sox	—	52	39	4	1	0	0	11	17	1	1	2	103	314	128	442	26	182	33	21	235	45	-3	-1	+0	-1	+1	-0.3
2020	26	MLB RAW	Boston Red Sox	—	52	39	4	1	0	0	11	17	1	1	2	103	314	128	442	26	182	33	21	239	45	-3	-1	+0	-1	+1	-0.3
2021	27	MLB MLE	Kansas City Royals	—	538	493	138	27	2	18	36	97	2	8	9	280	331	452	784	172	312	18	7	343	118	+12	-2	-3	-6	+12	1.3
2021	27	MLB RAW	Kansas City Royals	—	538	493	136	27	2	17	36	97	2	8	9	276	328	442	770	166	309	18	7	337	118	+12	-2	-3	-6	+12	1.3
2022	28	MLB MLE	New York Yankees	—	521	461	140	23	3	5	52	77	2	8	3	304	377	399	776	95	352	15	10	347	121	+13	+0	-5	-6	+11	1.5
2022	28	MLB RAW	New York Yankees	—	521	461	140	23	3	5	52	77	2	8	3	304	377	399	776	95	352	15	10	348	121	+13	+0	-5	-6	+11	1.5
2023	29	MLB MLE	Chicago White Sox	—	621	567	147	34	2	5	47	89	3	13	2	259	319	353	672	93	298	14	8	302	91	-7	+2	-14	-7	+13	-1.2
2023	29	MLB RAW	Chicago White Sox	—	621	562	147	34	2	5	52	89	3	13	2	262	327	356	683	94	301	14	8	309	91	-7	+2	-14	-7	+13	-1.2
2024	30	MLB MLE	Chicago White Sox	—	522	478	109	20	0	20	40	96	1	3	2	228	289	395	684	167	244	18	8	302	90	-6	-0	-9	-6	+11	-1.0
2024	30	MLB RAW	Chicago White Sox	—	522	477	109	20	0	20	41	96	1	3	2	229	291	396	687	168	245	18	8	305	90	-6	-0	-9	-6	+11	-1.0
2025	31	MLB MLE	Chicago White Sox	—	470	423	101	16	2	20	38	82	3	1	0	239	306	428	734	189	248	17	8	320	102	+1	+0	-9	-5	+10	-0.3
2025	31	MLB RAW	Chicago White Sox	—	470	420	101	16	2	20	40	82	3	1	0	240	310	431	741	190	250	17	9	325	102	+1	+0	-9	-5	+10	-0.3
2026	32	MLB MLE	Chicago White Sox	—	468	422	101	24	2	15	38	112	1	1	0	239	304	412	716	173	286	24	8	312	97	-2	+0	-1	-5	+10	0.2
2026	32	MLB RAW	Chicago White Sox	—	468	421	101	24	2	15	39	112	1	1	0	240	306	413	719	173	287	24	8	315	97	-2	+0	-1	-5	+10	0.2
2015	21	A MLE	Greenville Drive	—	86	79	24	4	0	4	6	12	1	3	2	304	365	506	871	203	305	14	7	365	133	—	—	—	—	—	—
2016	22	AA MLE	3 teams	—	536	493	132	36	11	8	34	76	4	17	9	268	321	434	755	166	301	14	6	326	107	—	—	—	—	—	—
2017	23	MLB MLE	Boston Red Sox	—	658	584	151	23	1	21	63	112	6	20	5	259	339	409	748	151	301	17	10	333	111	—	—	—	—	—	—
2018	24	MLB MLE	Boston Red Sox	—	661	584	162	36	7	16	70	106	2	21	3	277	359	445	804	168	328	16	11	356	127	—	—	—	—	—	—
2019	25	MLB MLE	Boston Red Sox	—	615	545	140	36	6	13	58	140	7	10	3	257	338	417	754	160	333	23	9	333	111	—	—	—	—	—	—
2020	26	MLB MLE	Boston Red Sox	—	52	40	4	1	0	0	11	17	1	1	2	100	314	125	439	25	182	33	21	235	45	—	—	—	—	—	—
2021	27	MLB MLE	Kansas City Royals	—	538	495	138	27	2	18	36	97	2	8	9	279	331	451	782	172	309	18	7	343	118	—	—	—	—	—	—
2022	28	MLB MLE	New York Yankees	—	521	462	140	23	3	5	52	77	2	8	3	303	377	398	775	95	352	15	10	347	121	—	—	—	—	—	—
2023	29	MLB MLE	Chicago White Sox	—	621	566	147	34	2	5	47	89	3	13	2	260	319	353	673	94	301	14	8	302	91	—	—	—	—	—	—
2024	30	MLB MLE	Chicago White Sox	—	522	476	109	20	0	20	40	96	1	3	2	229	289	397	686	168	245	18	8	302	90	—	—	—	—	—	—
2025	31	MLB MLE	Chicago White Sox	—	470	426	101	16	2	20	38	82	3	1	0	237	306	425	731	188	250	17	8	320	102	—	—	—	—	—	—
2026	32	MLB MLE	Chicago White Sox	—	468	426	101	24	2	15	38	112	1	1	0	237	304	408	712	171	287	24	8	312	97	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	Chicago White Sox	—	522	476	109	20	0	20	40	96	1	3	2	229	289	397	686	168	245	18	8	302	90	—	—	—	—	—	—
2025	31	MLB MLE	Chicago White Sox	—	470	426	101	16	2	20	38	82	3	1	0	237	306	425	731	188	250	17	8	320	102	—	—	—	—	—	—
2026	32	MLB MLE	Chicago White Sox	—	468	426	101	24	2	15	38	112	1	1	0	237	304	408	712	171	287	24	8	312	97	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	CWS	100%	444	403	100	20	2	16	36	93	2	3	1	248	313	426	739	179	282	21	8	326	107	+3	+0	-4	-5	+10	0.4
▸ 2027 — real world (MLB)
2027	33	MLB CTX	CWS	100%	352	318	80	16	2	13	29	73	2	2	1	249	314	430	744	181	283	21	8	328	107	+3	+0	-3	-4	+8	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	CWS	100%	294	268	63	12	1	10	23	63	1	1	0	236	300	402	702	166	271	21	8	311	96	-1	+0	-8	-3	+6	-0.5
2028	34	MLB CTX	CWS	100%	294	268	63	12	1	10	23	63	1	1	0	237	302	405	707	168	272	21	8	313	96	-1	+0	-8	-3	+6	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5538	4939	1299	275	25	143	504	1016	30	88	29	263	335	416	751	153	302	18	9	332	107	+72	+6	-63	-64	+120	7.3
/ 162G	—	A+C		—	650	580	152	32	3	17	59	119	4	10	3	262	335	416	750	153	300	18	9	332	107	+8	+1	-7	-7	+14	0.9
Career	—	MLE		—	6394	5741	1491	308	38	168	545	1152	36	109	41	260	328	414	742	155	295	18	9	327	107	+75	+6	-66	-68	+128	7.7
/ 162G	—	MLE		—	650	584	151	31	4	17	55	117	4	11	4	259	327	413	739	154	294	18	8	327	107	+8	+1	-7	-7	+14	0.8

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.

2016 AAPortland Sea Dogs · 263 PAwOBA .370 → .306 (−64)K% 11.4% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.41%	÷0.985	×1.220	—	—	14.13%
BB% (unintentional) /PA	8.37%	÷1.050	×0.700	—	×1.042	5.81%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	18.84%	÷1.040	×0.970	×0.950	×1.042	17.39%
Doubles /BIP	8.70%	÷0.997	×0.860	×0.950	×1.042	7.43%
Triples /BIP	2.42%	÷1.031	×0.950	×0.950	×1.042	2.20%
Home runs /BIP	3.86%	÷1.371	×0.780	—	×1.042	2.29%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — 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 ×0.950.

Result: wOBA .370 → .306; ISO .219 → .166; BABIP .308 → .274. 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+Salem Red Sox · 155 PAwOBA .413 → .340 (−73)K% 5.8% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.81%	÷0.951	×1.420	—	—	8.67%
BB% (unintentional) /PA	8.39%	÷0.989	×0.630	—	×1.012	5.41%
HBP% /PA	1.94%	—	×0.860	—	×1.012	1.68%
Singles /BIP	19.84%	÷1.000	×0.940	×0.950	×1.012	17.93%
Doubles /BIP	10.32%	÷1.030	×0.830	×0.950	×1.012	7.99%
Triples /BIP	5.56%	÷1.150	×0.800	×0.950	×1.012	3.72%
Home runs /BIP	0.79%	÷0.787	×0.900	—	×1.012	0.92%

Factors used: league row CAR. Park (home-season share, regressed): HR 57, 1B 100, 2B 106, 3B 130, K 90, BB 98 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .413 → .340; ISO .222 → .176; BABIP .354 → .295. 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 AGreenville Drive · 86 PAwOBA .430 → .365 (−66)K% 10.5% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.47%	÷1.019	×1.340	—	—	13.76%
BB% (unintentional) /PA	10.47%	÷0.993	×0.660	—	×1.015	7.06%
HBP% /PA	1.16%	—	×0.770	—	×1.015	0.91%
Singles /BIP	26.15%	÷0.981	×0.920	×0.950	×1.015	23.66%
Doubles /BIP	7.69%	÷1.063	×0.820	×0.950	×1.015	5.72%
Triples /BIP	0.00%	÷1.069	×0.940	×0.950	×1.015	0.00%
Home runs /BIP	6.15%	÷0.979	×0.820	—	×1.015	5.23%

Factors used: league row SAL. Park (home-season share, regressed): HR 96, 1B 96, 2B 113, 3B 114, K 104, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .430 → .365; ISO .230 → .195; BABIP .355 → .305. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Cuddyerlast yr '15 career totals — 14 seasons, 6,082 PA	9.2	6,082	197	74	278	344	461	-57	-116	18.8	18.1
/162	664	22	8	-6.2	-12.6	2.1	pk7: 17
#2Gregg Jefferies'87-'00 * career totals — 13 seasons, 6,072 PA	9.1	6,072	126	196	281*	337*	433*	-42	-50	17.5	16.9
/162	664	14	21	-4.5	-5.5	1.9	pk7: 16
#3Melky Cabreralast yr '19 career totals — 14 seasons, 7,508 PA	11.3	7,508	144	101	285	334	417	-47	-102	16.3	16.7
/162	664	13	9	-4.2	-9.0	1.4	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	8.9	5,890	156	91	262	330	417	-63	-88	17.3	16.1
/162	664	18	10	-7.1	-9.9	2.0	pk7: 15
#4Wil Myerslast yr '23 career totals — 11 seasons, 4,290 PA	6.5	4,290	156	107	252	326	437	-47	-45	10.7	10.8
/162	664	24	17	-7.3	-6.9	1.7	pk7: 11
#5Al Martin'92-'03 * career totals — 10 seasons, 4,688 PA	7.1	4,688	132	173	264*	325*	435*	-46	-46	9.5	9.6
/162	664	19	25	-6.5	-6.4	1.3	pk7: 10
#6Al Cowens'74-'86 * career totals — 13 seasons, 6,038 PA	9.1	6,038	108	120	266*	320*	431*	-57	-44	6.9	8.8
/162	664	12	13	-6.3	-4.8	0.8	pk7: 11

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
Andrew Benintendi (OGILVIE)	33	—	—	—	—	246/310/423	177	282	13	2	21%	8%	107	+1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yadiel Hernandez 2022 · MLB	34	49→54	53→55	46→45	46	254/308/422	168	300	23	7	24%	7%	105	+1.7	249/297/389	140	311	16	7	24%	6%	93	+0.8	266/311/405	139	325	16	4	23%	6%	103	+0.8
✕Garrett Jones 2014 · MLB	33	47→52	58→60	49→50	47	250/305/460	210	280	26	5	22%	7%	112	+2.2	245/299/418	173	290	19	3	22%	7%	101	+1.4	243/299/410	166	289	18	0	22%	7%	99	+0.7
✕Greg Dobbs 2010 · MLB	32	52→58	51→55	50	47	263/309/427	164	292	19	7	18%	6%	106	+1.8	249/290/382	133	290	14	6	19%	5%	88	+0.4	267/304/371	103	311	9	3	17%	4%	91	+0.4
✕Mitch Moreland 2019 · MLB	33	45→55	54→60	47→40	51	236/308/420	184	269	22	3	22%	9%	105	+1.7	246/317/466	220	276	28	3	22%	9%	119	+2.7	242/313/482	239	262	33	1	22%	9%	122	+1.2
✕Yonder Alonso 2019 · MLB	32	49→59	55	46→45	53	255/327/436	182	286	24	3	21%	10%	115	+2.4	231/310/392	161	268	20	4	21%	10%	99	+1.2	199/290/340	141	229	16	0	21%	11%	82	-0.0
✕Alex Dickerson 2022 · MLB	32	49→56	58→60	49→45	48	257/324/462	206	292	26	4	22%	8%	120	+2.8	217/275/369	152	264	18	5	25%	7%	80	-0.1	183/235/311	127	226	14	1	25%	6%	49	-1.6
✕Jeff Liefer 2008 · MLB	33	48→50	53→60	48→30	45	250/299/426	176	292	21	8	22%	6%	103	+1.5	217/275/341	124	298	12	9	30%	7%	74	-0.6	183/238/285	102	254	9	3	30%	7%	47	-0.6
✕Eduardo Escobar 2022 · MLB	33	47→57	57→60	51→50	48	249/304/451	202	272	25	3	20%	7%	110	+2.1	241/294/413	172	289	20	3	23%	7%	97	+1.1	236/286/400	163	288	18	1	24%	6%	92	+0.5
✕David Peralta 2021 · MLB	33	54→60	53→60	50→45	48	276/330/451	175	319	20	4	21%	7%	119	+2.7	253/309/397	144	301	13	4	20%	7%	99	+1.2	249/305/389	139	296	11	3	19%	7%	96	+0.8
✕Jason Kipnis 2020 · MLB	33	45→55	51→55	48→55	51	232/299/393	161	256	19	8	18%	8%	95	+0.9	233/308/390	157	286	18	7	24%	9%	97	+1.1	221/310/373	152	292	16	3	28%	10%	93	+0.3
✕Midre Cummings 2005 · MLB	33	51	52→50	51→50	50	257/333/427	171	298	19	11	21%	8%	116	+2.5	237/300/392	155	296	19	6	26%	7%	95	+1.0	223/282/365	142	279	19	0	27%	6%	84	+0.1
✕Aaron Guiel 2006 · MLB	33	43→53	54→60	44→45	47	226/298/403	177	256	22	6	22%	7%	97	+1.1	227/311/412	185	262	22	6	23%	8%	105	+1.7	214/316/414	201	239	25	3	22%	10%	107	+1.3
✕Brad Miller 2023 · MLB	33	43→53	53→60	48→50	49	225/302/393	167	284	23	8	29%	10%	97	+1.1	224/304/369	145	287	17	8	27%	10%	91	+0.7	179/287/296	117	231	13	0	27%	13%	69	-0.2
✕Mike Ford 2024 · MLB	32	42→51	55	48→30	51	224/310/404	180	265	24	3	25%	10%	102	+1.5	220/292/373	153	273	19	6	26%	8%	88	+0.4	191/256/307	116	241	15	3	27%	8%	56	-0.6
✕Randall Simon 2007 · MLB	32	53→58	53→55	48→30	49	269/315/435	166	272	22	4	12%	5%	111	+2.1	254/304/398	144	264	18	5	12%	6%	97	+1.1	254/300/376	122	257	15	0	8%	6%	91	+0.3
✕Mike Moustakas 2022 · MLB	33	44→54	57→65	48→45	51	235/309/435	200	256	24	4	20%	9%	109	+2.0	231/297/376	145	286	17	4	25%	7%	91	+0.6	229/292/363	134	287	16	2	25%	7%	86	+0.2
✕Josh Reddick 2020 · MLB	33	52→61	49→60	48→50	52	263/317/408	146	279	17	7	14%	8%	105	+1.7	243/298/373	130	283	14	5	19%	7%	89	+0.5	232/287/347	115	283	11	1	21%	7%	79	-0.1
✕Ricky Ledee 2006 · MLB	32	50→47	52→60	50	51	254/325/427	173	297	19	5	21%	9%	112	+2.2	227/285/368	141	273	16	5	22%	7%	84	+0.1	203/253/318	116	249	15	2	25%	6%	60	-1.0
●Michael Cuddyer 2012 · MLB	33	54→63	52→60	51→50	51	274/333/449	175	299	19	9	16%	8%	120	+2.8	281/337/466	185	318	20	11	18%	8%	125	+3.2	290/345/485	195	328	21	11	18%	7%	134	+2.5
✕Eddie Rosario 2024 · MLB	32	47→55	52→60	45→50	45	243/292/413	170	284	20	7	23%	6%	97	+1.1	219/268/372	153	266	18	14	24%	6%	78	-0.3	189/234/328	138	227	16	19	25%	6%	57	-0.8

Andrew Benintendi

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps