Randal Grichuk

LF Chicago White Sox

Age 35 R/R 6'0" / 210 lbs MLB HR +4% Svc 12.192 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	32	MLBARI	279	.291/.350/.528	12	0	138	1.4
2025	33	MLBKC	293	.228/.276/.401	9	0	89	-0.4
2026	34	MLBCWS	280	.287/.318/.566	15	0	136	1.5
2027PROJ	35	MLBCWS	170	.263/.302/.493	8	1	117	0.5
2028PROJ	36	MLBCWS	128	.249/.286/.462	5	0	104	-0.5

Last 3 seasons WAR 2.4 · Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service12.192First FA2028Options6

2027Ext / FA-deal$3M

Skills · percentileStatcast 2024-2026

Avg EV84

xwOBA79

Bat Spd77

Barrel%71

Speed46

Form.271/.309/.516 ▲ rolling true talent (60d window) · proj .261/.298/.488

CompsOlmedo Saenz (age 36) · Kit Pellow (age 35) · Ruben Mateo (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 120117vR 108

AVG/OBP/SLG.263 / .302 / .493

PA170

HR8

K%21

BB%5

BABIP293

ISO239

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

740.270

POWER

Barrel%

7111.3

Avg EV

8491.4

Bat Spd

7774.2

SPEED

Sprint

4627.3

Recent Formrolling true talent ⓘ

K%19%▲18% over 72 PA (60d) · proj 21%

BB%5%·6% over 72 PA (60d) · proj 5%

ISO.245▲.288 over 66 AB (60d) · proj .227

HR/BB6.4%·7.3% over 55 BBE (60d) · proj 6.0%

BABIP.294·.333 over 51 BIP (60d) · proj .291

SLASH.271/.309/.516▲proj .261/.298/.488

Platoon Splits2024-2026 · 595 PA

vs LHP

vs RHP

Edge

390

205

—

wRC+

120

◀◀L

wOBA

345

306

◀L

ISO

202

197

—

BABIP

311

245

◀◀L

20.5%

17.1%

▶▶R

BB%

6.9%

4.9%

◀◀L

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

Status FA

MLB Debut 2014

Service 12.192 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$3M	+0.5	$2M	-$1M
Totals		$3M		$2M	-$1M

Options · projected decision
2027	MUTUAL OPT	$3.3M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$5.0M / $3.0M buyout	DECLINE
2029	MUTUAL OPT	$3.3M / $0.0M buyout	DECLINE
2030	MUTUAL OPT	$3.3M / $0.0M buyout	DECLINE
2031	MUTUAL OPT	$6.0M / $0.0M buyout	DECLINE
2032	MUTUAL OPT	$3.3M / $0.0M buyout	DECLINE

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	AZL Angels	—	256	236	76	13	10	7	9	64	4	6	4	322	357	551	908	229	408	25	4	384	71	—	—	—	—	—	—
2010	18	A	Cedar Rapids Kernels	—	214	202	59	19	4	7	9	50	2	4	0	292	329	530	858	238	356	23	4	371	83	—	—	—	—	—	—
2010	18	ROK	AZL Angels	—	52	49	16	3	2	4	3	9	0	0	0	327	365	714	1.080	388	333	17	6	458	101	—	—	—	—	—	—
2011	19	A+	Inland Empire 66ers	—	57	53	15	4	2	1	0	13	3	0	0	283	321	491	812	208	350	23	0	349	75	—	—	—	—	—	—
2011	19	A	Cedar Rapids Kernels	—	131	122	28	7	4	2	6	29	1	0	1	230	271	402	673	172	280	22	5	291	34	—	—	—	—	—	—
2011	19	ROK	AZL Angels	—	28	24	8	1	1	0	2	4	0	0	0	333	385	458	843	125	364	14	7	347	81	—	—	—	—	—	—
2012	20	A+	Inland Empire 66ers	—	575	537	160	30	9	18	23	92	9	16	6	298	337	488	825	190	329	16	4	359	91	—	—	—	—	—	—
2012	20	INTL	Scottsdale Scorpions	—	64	57	13	1	0	2	4	18	2	2	0	228	302	351	652	123	289	28	6	293	84	—	—	—	—	—	—
2013	21	AA	Arkansas Travelers	—	542	500	128	27	8	22	28	92	9	9	5	256	307	474	781	218	272	17	5	339	82	—	—	—	—	—	—
2014	22	MLB	St. Louis Cardinals	—	116	110	27	6	1	3	5	31	0	0	2	245	278	400	678	155	316	27	4	297	88	-2	-1	+2	-6	+3	-0.4
2014	22	AAA	Memphis Redbirds	—	472	436	113	23	2	25	28	108	6	8	5	259	313	493	806	234	289	23	6	351	69	—	—	—	—	—	—
2015	23	MLB	St. Louis Cardinals	—	350	323	89	23	7	17	22	110	4	4	2	276	330	548	878	272	365	31	6	379	143	+18	+0	-0	-4	+8	2.2
2016	24	MLB	St. Louis Cardinals	—	478	446	107	29	3	24	28	141	3	5	4	240	289	480	769	240	294	29	6	335	116	+9	-1	-2	+2	+10	1.9
2016	24	AAA	Memphis Redbirds	—	86	81	22	4	1	6	2	14	2	0	0	272	306	568	874	296	258	16	2	373	95	—	—	—	—	—	—
2017	25	MLB	St. Louis Cardinals	—	442	412	98	25	3	22	26	133	2	6	1	238	286	473	760	235	293	30	6	330	110	+5	+1	+2	-5	+10	1.2
2017	25	AAA	Memphis Redbirds	—	67	63	17	3	0	6	3	20	1	0	0	270	313	603	917	333	297	30	4	394	82	—	—	—	—	—	—
2018	26	MLB	Toronto Blue Jays	—	462	424	104	32	1	25	27	122	8	3	2	245	303	502	805	257	282	26	6	349	122	+12	-0	+4	-5	+10	2.2
2019	27	MLB	Toronto Blue Jays	—	628	586	136	29	5	31	35	163	5	2	1	232	281	457	738	225	266	26	6	322	103	+3	+0	+0	-7	+14	1.0
2020	28	MLB	Toronto Blue Jays	—	231	216	59	9	0	12	13	49	0	1	1	273	314	481	796	208	299	21	6	346	118	+5	-0	+0	+1	+5	1.1
2021	29	MLB	Toronto Blue Jays	—	545	511	123	25	1	22	27	114	3	0	3	241	283	423	706	182	266	21	5	309	95	-3	-1	+0	+2	+12	1.0
2022	30	MLB	Colorado Rockies	—	538	506	131	21	3	19	24	127	6	4	0	259	300	425	725	166	309	24	4	320	91	-5	+1	-5	-6	+12	-0.4
2023	31	MLB	Los Angeles Angels	—	471	434	116	31	2	16	29	96	6	2	2	267	322	459	780	191	309	20	6	343	118	+10	-0	-7	-5	+10	0.8
2023	31	AAA	Albuquerque Isotopes	—	36	33	3	1	0	0	3	6	0	0	0	91	167	121	288	30	111	17	8	144	-41	—	—	—	—	—	—
2024	32	MLB	Arizona Diamondbacks	—	279	254	74	20	2	12	20	46	3	0	0	291	350	528	878	236	313	16	7	381	138	+13	+0	-2	-3	+6	1.4
2024	32	AAA	Reno Aces	—	16	14	4	0	0	1	1	3	1	0	0	286	375	500	875	214	300	19	6	389	69	—	—	—	—	—	—
2025	33	MLB	Kansas City Royals	—	293	272	62	18	1	9	17	61	1	0	1	228	276	401	677	173	259	21	6	296	89	-4	-0	-3	-3	+6	-0.4
2026	34	MLB	Chicago White Sox	—	280	265	76	25	2	15	11	61	1	0	0	287	318	566	884	279	318	22	4	378	136	+12	+0	-1	-3	+6	1.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5113	4759	1202	293	31	227	284	1254	42	27	19	253	300	470	771	218	295	25	6	336	113	+81	-2	-11	-43	+111	13.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	AZL Angels	—	256	239	56	9	7	5	6	92	4	6	4	234	265	393	658	159	331	36	2	273	71	—	—	—	—	—	—
2010	18	A MLE	Cedar Rapids Kernels	—	214	205	49	15	3	5	6	71	2	4	0	239	268	415	682	176	334	33	3	291	83	—	—	—	—	—	—
2010	18	ROK MLE	AZL Angels	—	52	50	11	2	1	3	2	13	0	0	0	220	250	480	730	260	255	25	4	317	101	—	—	—	—	—	—
2011	19	A+ MLE	Inland Empire 66ers	—	57	53	12	3	1	1	0	18	3	0	0	226	268	377	645	151	311	32	0	279	75	—	—	—	—	—	—
2011	19	A MLE	Cedar Rapids Kernels	—	131	124	21	5	3	1	4	41	1	0	1	169	202	282	484	113	237	31	3	218	34	—	—	—	—	—	—
2011	19	ROK MLE	AZL Angels	—	28	25	7	1	1	0	1	6	0	0	0	280	308	400	708	120	289	21	4	288	81	—	—	—	—	—	—
2012	20	A+ MLE	Inland Empire 66ers	—	575	546	138	25	6	20	14	127	9	16	6	253	283	430	713	178	287	22	2	303	91	—	—	—	—	—	—
2013	21	AA MLE	Arkansas Travelers	—	542	510	116	23	8	19	18	113	9	9	5	227	266	416	682	188	250	21	3	289	82	—	—	—	—	—	—
2014	22	MLB MLE	St. Louis Cardinals	—	116	110	27	6	1	3	5	31	0	0	2	245	278	400	678	155	316	27	4	299	88	-2	-1	+2	-6	+3	-0.4
2014	22	AAA MLE	Memphis Redbirds	—	472	445	92	19	2	19	19	140	6	8	5	207	249	387	635	180	249	30	4	270	69	—	—	—	—	—	—
2015	23	MLB MLE	St. Louis Cardinals	—	350	325	89	22	7	18	20	110	4	4	2	274	324	551	875	277	365	31	6	380	143	+18	+0	-0	-4	+8	2.2
2016	24	MLB MLE	St. Louis Cardinals	—	478	446	108	28	3	26	28	141	3	5	4	242	291	493	785	251	294	29	6	340	116	+9	-1	-2	+2	+10	1.9
2016	24	AAA MLE	Memphis Redbirds	—	86	82	19	3	1	5	1	18	2	0	0	232	259	476	734	244	226	21	1	308	95	—	—	—	—	—	—
2017	25	MLB MLE	St. Louis Cardinals	—	442	415	99	24	3	24	23	133	2	6	1	239	282	484	766	246	293	30	5	331	110	+5	+1	+2	-5	+10	1.2
2017	25	AAA MLE	Memphis Redbirds	—	67	65	13	2	0	4	1	26	1	0	0	200	224	415	639	215	255	39	1	290	82	—	—	—	—	—	—
2018	26	MLB MLE	Toronto Blue Jays	—	462	424	104	32	1	25	27	122	8	3	2	245	303	502	805	257	282	26	6	348	122	+12	-0	+4	-5	+10	2.2
2019	27	MLB MLE	Toronto Blue Jays	—	628	586	136	29	5	31	35	163	5	2	1	232	281	457	738	225	266	26	6	321	103	+3	+0	+0	-7	+14	1.0
2020	28	MLB MLE	Toronto Blue Jays	—	231	217	59	9	0	12	12	49	0	1	1	272	310	479	789	207	299	21	5	343	118	+5	-0	+0	+1	+5	1.1
2021	29	MLB MLE	Toronto Blue Jays	—	545	511	123	25	1	22	27	114	3	0	3	241	283	423	706	182	266	21	5	309	95	-3	-1	+0	+2	+12	1.0
2022	30	MLB MLE	Colorado Rockies	—	538	506	124	20	2	17	24	127	6	4	0	245	287	393	681	148	309	24	4	303	91	-5	+1	-5	-6	+12	-0.4
2023	31	MLB MLE	Los Angeles Angels	—	471	436	117	32	2	16	27	96	6	2	2	268	320	461	781	193	309	20	6	342	118	+10	-0	-7	-5	+10	0.8
2023	31	AAA MLE	Albuquerque Isotopes	—	36	34	3	1	0	0	2	8	0	0	0	88	139	118	257	29	94	22	6	107	-41	—	—	—	—	—	—
2024	32	MLB MLE	Arizona Diamondbacks	—	279	254	73	18	2	13	20	46	3	0	0	287	347	528	874	240	313	16	7	373	138	+13	+0	-2	-3	+6	1.4
2024	32	AAA MLE	Reno Aces	—	16	14	3	0	0	1	1	4	1	0	0	214	312	429	741	214	235	25	6	270	69	—	—	—	—	—	—
2025	33	MLB MLE	Kansas City Royals	—	293	273	63	18	1	10	16	61	1	0	1	231	276	414	690	183	259	21	5	300	89	-4	-0	-3	-3	+6	-0.4
2026	34	MLB MLE	Chicago White Sox	—	280	267	76	25	2	15	9	61	1	0	0	285	310	562	872	277	318	22	3	370	136	+12	+0	-1	-3	+6	1.5
2009	17	ROK MLE	AZL Angels	—	256	239	56	9	7	5	6	92	4	6	4	234	265	393	658	159	349	36	2	273	71	—	—	—	—	—	—
2009	17	ROK RAW	AZL Angels	—	256	236	76	13	10	7	9	64	4	6	4	322	357	551	908	229	408	25	4	384	71	—	—	—	—	—	—
2010	18	A MLE	2 teams	—	266	255	60	17	4	8	8	84	2	4	0	235	264	427	692	192	317	32	3	296	87	—	—	—	—	—	—
2010	18	A RAW	2 teams	—	266	251	75	22	6	11	12	59	2	4	0	299	336	566	902	267	352	22	5	388	87	—	—	—	—	—	—
2011	19	A MLE	3 teams	—	216	201	40	9	5	2	6	65	4	0	1	199	237	323	560	124	273	30	3	243	51	—	—	—	—	—	—
2011	19	A RAW	3 teams	—	216	199	51	12	7	3	8	46	4	0	1	256	299	432	731	176	310	21	4	314	51	—	—	—	—	—	—
2012	20	A+ MLE	2 teams	—	639	605	153	28	7	22	16	141	11	18	6	253	285	431	716	179	293	22	3	303	91	—	—	—	—	—	—
2012	20	A+ RAW	2 teams	—	639	594	173	31	9	20	27	110	11	18	6	291	334	475	809	184	326	17	4	352	91	—	—	—	—	—	—
2013	21	AA MLE	Arkansas Travelers	—	542	510	116	23	8	19	18	113	9	9	5	227	266	416	682	188	255	21	3	289	82	—	—	—	—	—	—
2013	21	AA RAW	Arkansas Travelers	—	542	500	128	27	8	22	28	92	9	9	5	256	307	474	781	218	272	17	5	339	82	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	588	555	119	25	3	22	24	171	6	8	7	214	255	389	644	175	266	29	4	276	73	—	—	—	—	—	—
2014	22	AAA RAW	2 teams	—	588	546	140	29	3	28	33	139	6	8	7	256	306	474	780	218	294	24	6	340	73	—	—	—	—	—	—
2015	23	MLB MLE	St. Louis Cardinals	—	350	325	89	22	7	18	20	110	4	4	2	274	324	551	875	277	359	31	6	380	143	+18	+0	-0	-4	+8	2.2
2015	23	MLB RAW	St. Louis Cardinals	—	350	323	89	23	7	17	22	110	4	4	2	276	330	548	878	272	365	31	6	379	143	+18	+0	-0	-4	+8	2.2
2016	24	MLB MLE	2 teams	—	564	528	127	31	4	31	29	159	5	5	4	241	286	491	777	250	282	28	5	335	113	+9	-1	-2	+2	+12	2.1
2016	24	MLB RAW	2 teams	—	564	527	129	33	4	30	30	155	5	5	4	245	292	493	785	249	288	27	5	340	113	+9	-1	-2	+2	+12	2.1
2017	25	MLB MLE	2 teams	—	509	480	112	26	3	28	24	159	3	6	1	233	274	475	749	242	285	31	5	325	106	+4	+1	+2	-5	+11	1.2
2017	25	MLB RAW	2 teams	—	509	475	115	28	3	28	29	153	3	6	1	242	290	491	780	248	294	30	6	338	106	+4	+1	+2	-5	+11	1.2
2018	26	MLB MLE	Toronto Blue Jays	—	462	424	104	32	1	25	27	122	8	3	2	245	303	502	805	257	282	26	6	348	122	+12	-0	+4	-5	+10	2.2
2018	26	MLB RAW	Toronto Blue Jays	—	462	424	104	32	1	25	27	122	8	3	2	245	303	502	805	257	282	26	6	349	122	+12	-0	+4	-5	+10	2.2
2019	27	MLB MLE	Toronto Blue Jays	—	628	586	136	29	5	31	35	163	5	2	1	232	281	457	738	225	266	26	6	321	103	+3	+0	+0	-7	+14	1.0
2019	27	MLB RAW	Toronto Blue Jays	—	628	586	136	29	5	31	35	163	5	2	1	232	281	457	738	225	266	26	6	322	103	+3	+0	+0	-7	+14	1.0
2020	28	MLB MLE	Toronto Blue Jays	—	231	217	59	9	0	12	12	49	0	1	1	272	310	479	789	207	297	21	5	343	118	+5	-0	+0	+1	+5	1.1
2020	28	MLB RAW	Toronto Blue Jays	—	231	216	59	9	0	12	13	49	0	1	1	273	314	481	796	208	299	21	6	346	118	+5	-0	+0	+1	+5	1.1
2021	29	MLB MLE	Toronto Blue Jays	—	545	511	123	25	1	22	27	114	3	0	3	241	283	423	706	182	266	21	5	309	95	-3	-1	+0	+2	+12	1.0
2021	29	MLB RAW	Toronto Blue Jays	—	545	511	123	25	1	22	27	114	3	0	3	241	283	423	706	182	266	21	5	309	95	-3	-1	+0	+2	+12	1.0
2022	30	MLB MLE	Colorado Rockies	—	538	506	124	20	2	17	24	127	6	4	0	245	287	393	681	148	294	24	4	303	91	-5	+1	-5	-6	+12	-0.4
2022	30	MLB RAW	Colorado Rockies	—	538	506	131	21	3	19	24	127	6	4	0	259	300	425	725	166	309	24	4	320	91	-5	+1	-5	-6	+12	-0.4
2023	31	MLB MLE	2 teams	—	507	470	120	33	2	16	29	104	6	2	2	255	307	436	743	181	295	21	6	326	107	+4	-0	-7	-5	+11	0.3
2023	31	MLB RAW	2 teams	—	507	467	119	32	2	16	32	102	6	2	2	255	311	435	746	180	293	20	6	329	107	+4	-0	-7	-5	+11	0.3
2024	32	MLB MLE	2 teams	—	295	268	75	18	2	13	21	50	4	0	0	280	341	507	849	228	300	17	7	367	135	+12	+0	-2	-3	+6	1.3
2024	32	MLB RAW	2 teams	—	295	268	78	20	2	13	21	49	4	0	0	291	352	526	878	235	312	17	7	381	135	+12	+0	-2	-3	+6	1.3
2025	33	MLB MLE	Kansas City Royals	—	293	273	63	18	1	10	16	61	1	0	1	231	276	414	690	183	259	21	5	300	89	-4	-0	-3	-3	+6	-0.4
2025	33	MLB RAW	Kansas City Royals	—	293	272	62	18	1	9	17	61	1	0	1	228	276	401	677	173	259	21	6	296	89	-4	-0	-3	-3	+6	-0.4
2026	34	MLB MLE	Chicago White Sox	—	280	267	76	25	2	15	9	61	1	0	0	285	310	562	872	277	314	22	3	370	136	+12	+0	-1	-3	+6	1.5
2026	34	MLB RAW	Chicago White Sox	—	280	265	76	25	2	15	11	61	1	0	0	287	318	566	884	279	318	22	4	378	136	+12	+0	-1	-3	+6	1.5
2009	17	ROK MLE	AZL Angels	—	256	244	56	9	7	5	6	92	4	6	4	230	265	385	650	156	331	36	2	273	71	—	—	—	—	—	—
2010	18	A MLE	2 teams	—	266	254	60	17	4	8	8	84	2	4	0	236	264	429	693	193	319	32	3	296	87	—	—	—	—	—	—
2011	19	A MLE	3 teams	—	216	204	40	9	5	2	6	65	4	0	1	196	237	319	556	123	263	30	3	243	51	—	—	—	—	—	—
2012	20	A+ MLE	2 teams	—	639	607	153	28	7	22	16	141	11	18	6	252	285	430	715	178	287	22	3	303	91	—	—	—	—	—	—
2013	21	AA MLE	Arkansas Travelers	—	542	510	116	23	8	19	18	113	9	9	5	227	266	416	682	188	250	21	3	289	82	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	588	553	119	25	3	22	24	171	6	8	7	215	255	391	645	175	262	29	4	276	73	—	—	—	—	—	—
2015	23	MLB MLE	St. Louis Cardinals	—	350	323	89	22	7	18	20	110	4	4	2	276	324	554	878	279	365	31	6	380	143	—	—	—	—	—	—
2016	24	MLB MLE	2 teams	—	564	525	127	31	4	31	29	159	5	5	4	242	286	493	780	251	284	28	5	335	113	—	—	—	—	—	—
2017	25	MLB MLE	2 teams	—	509	477	112	26	3	28	24	159	3	6	1	235	274	478	752	243	288	31	5	325	106	—	—	—	—	—	—
2018	26	MLB MLE	Toronto Blue Jays	—	462	424	104	32	1	25	27	122	8	3	2	245	303	502	805	257	282	26	6	348	122	—	—	—	—	—	—
2019	27	MLB MLE	Toronto Blue Jays	—	628	583	136	29	5	31	35	163	5	2	1	233	281	460	741	226	266	26	6	321	103	—	—	—	—	—	—
2020	28	MLB MLE	Toronto Blue Jays	—	231	217	59	9	0	12	12	49	0	1	1	272	310	479	789	207	299	21	5	343	118	—	—	—	—	—	—
2021	29	MLB MLE	Toronto Blue Jays	—	545	510	123	25	1	22	27	114	3	0	3	241	283	424	706	182	266	21	5	309	95	—	—	—	—	—	—
2022	30	MLB MLE	Colorado Rockies	—	538	503	124	20	2	17	24	127	6	4	0	247	287	396	683	149	309	24	4	303	91	—	—	—	—	—	—
2023	31	MLB MLE	2 teams	—	507	467	120	33	2	16	29	104	6	2	2	257	307	439	746	182	293	21	6	326	107	—	—	—	—	—	—
2024	32	MLB MLE	2 teams	—	295	268	75	18	2	13	21	50	4	0	0	280	341	507	849	228	309	17	7	367	135	—	—	—	—	—	—
2025	33	MLB MLE	Kansas City Royals	—	293	274	63	18	1	10	16	61	1	0	1	230	276	412	688	182	259	21	5	300	89	—	—	—	—	—	—
2026	34	MLB MLE	Chicago White Sox	—	280	268	76	25	2	15	9	61	1	0	0	284	310	560	870	276	318	22	3	370	136	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	2 teams	—	295	268	75	18	2	13	21	50	4	0	0	280	341	507	849	228	309	17	7	367	135	—	—	—	—	—	—
2025	33	MLB MLE	Kansas City Royals	—	293	274	63	18	1	10	16	61	1	0	1	230	276	412	688	182	259	21	5	300	89	—	—	—	—	—	—
2026	34	MLB MLE	Chicago White Sox	—	280	268	76	25	2	15	9	61	1	0	0	284	310	560	870	276	318	22	3	370	136	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	CWS	100%	274	258	68	19	2	12	13	58	1	2	0	262	300	488	788	227	291	21	5	341	117	+6	+0	-0	-3	+6	0.5
▸ 2027 — real world (MLB)
2027	35	MLB CTX	CWS	100%	170	159	43	12	1	8	8	36	1	1	0	263	302	493	795	230	293	21	5	344	117	+3	+0	-0	-2	+4	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	CWS	100%	128	120	30	8	1	5	6	28	1	0	0	247	284	457	741	210	279	22	5	322	104	+1	+0	-7	-1	+3	-0.5
2028	36	MLB CTX	CWS	100%	128	120	30	8	1	5	6	28	1	0	0	249	286	462	747	213	280	22	5	324	104	+1	+0	-7	-1	+3	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5241	4879	1232	301	32	232	290	1282	43	27	19	253	300	470	770	217	295	24	6	335	101	+82	-2	-17	-44	+114	13.4
/ 162G	—	A+C		—	650	605	153	37	4	29	36	159	5	3	2	253	300	471	771	218	295	24	6	335	101	+10	-0	-2	-5	+14	1.7
Career	—	MLE		—	8007	7499	1825	419	66	329	365	2009	84	73	40	243	286	448	735	205	287	25	5	317	101	+85	-2	-18	-46	+117	14.0
/ 162G	—	MLE		—	650	609	148	34	5	27	30	163	7	6	3	243	287	448	735	205	286	25	5	317	101	+10	-0	-2	-6	+14	1.7

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.

2024 AAAReno Aces · 16 PAwOBA .378 → .270 (−108)K% 18.8% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.964	×1.200	—	—	23.35%
BB% (unintentional) /PA	6.25%	÷1.012	×0.690	—	×0.942	4.01%
HBP% /PA	6.25%	—	×0.940	—	×0.942	5.53%
Singles /BIP	27.27%	÷1.076	×0.930	—	×0.942	22.21%
Doubles /BIP	0.00%	÷1.025	×0.830	—	×0.942	0.00%
Triples /BIP	0.00%	÷1.017	×0.970	—	×0.942	0.00%
Home runs /BIP	9.09%	÷1.124	×0.700	—	×0.942	5.33%

Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 115, 2B 105, 3B 103, K 93, BB 102 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .378 → .270; ISO .214 → .123; BABIP .300 → .235. 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 AAAAlbuquerque Isotopes · 36 PAwOBA .141 → .107 (−34)K% 16.7% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.947	×1.200	—	—	21.12%
BB% (unintentional) /PA	8.33%	÷0.984	×0.690	—	×0.952	5.56%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	7.41%	÷1.018	×0.930	—	×0.952	6.44%
Doubles /BIP	3.70%	÷1.002	×0.830	—	×0.952	2.92%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.062	×0.700	—	×0.952	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 104, 2B 100, 3B 130, K 89, BB 97 — 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).

Result: wOBA .141 → .107; ISO .030 → .023; BABIP .111 → .094. 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 AAAMemphis Redbirds · 67 PAwOBA .377 → .290 (−87)K% 29.9% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.85%	÷1.010	×1.290	—	—	38.14%
BB% (unintentional) /PA	2.99%	÷0.997	×0.710	—	×1.018	2.17%
HBP% /PA	1.49%	—	×0.980	—	×1.018	1.49%
Singles /BIP	18.60%	÷1.001	×0.900	—	×1.018	17.03%
Doubles /BIP	6.98%	÷1.021	×0.810	—	×1.018	5.63%
Triples /BIP	0.00%	÷1.135	×0.810	—	×1.018	0.00%
Home runs /BIP	13.95%	÷0.980	×0.780	—	×1.018	11.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 100, 2B 104, 3B 127, K 102, BB 99 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .377 → .290; ISO .333 → .245; BABIP .297 → .255. 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 AAAMemphis Redbirds · 86 PAwOBA .366 → .308 (−57)K% 16.3% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.28%	÷0.988	×1.290	—	—	21.25%
BB% (unintentional) /PA	2.33%	÷0.983	×0.710	—	×1.033	1.74%
HBP% /PA	2.33%	—	×0.980	—	×1.033	2.35%
Singles /BIP	16.42%	÷0.989	×0.900	×0.961	×1.033	14.82%
Doubles /BIP	5.97%	÷0.941	×0.810	×0.961	×1.033	5.10%
Triples /BIP	1.49%	÷0.951	×0.810	×0.961	×1.033	1.26%
Home runs /BIP	8.96%	÷0.931	×0.780	—	×1.033	7.75%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 98, 2B 88, 3B 90, K 98, BB 97 — 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 ×0.961.

Result: wOBA .366 → .308; ISO .296 → .245; BABIP .258 → .226. 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 AAAMemphis Redbirds · 472 PAwOBA .341 → .270 (−71)K% 22.9% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.88%	÷0.997	×1.290	—	—	29.61%
BB% (unintentional) /PA	5.51%	÷1.031	×0.710	—	×1.050	3.98%
HBP% /PA	1.27%	—	×0.980	—	×1.050	1.31%
Singles /BIP	19.21%	÷1.034	×0.900	×0.958	×1.050	16.81%
Doubles /BIP	7.01%	÷0.917	×0.810	×0.958	×1.050	6.23%
Triples /BIP	0.61%	÷0.900	×0.810	×0.958	×1.050	0.55%
Home runs /BIP	7.62%	÷1.036	×0.780	—	×1.050	6.03%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 83, 3B 80, K 99, BB 106 — 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 ×0.958.

Result: wOBA .341 → .270; ISO .234 → .179; BABIP .289 → .249. 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 AAArkansas Travelers · 542 PAwOBA .330 → .289 (−41)K% 17.0% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.97%	÷0.990	×1.220	—	—	20.91%
BB% (unintentional) /PA	4.80%	÷1.063	×0.700	—	×1.042	3.29%
HBP% /PA	1.66%	—	×0.870	—	×1.042	1.51%
Singles /BIP	17.40%	÷0.981	×0.920	×0.964	×1.042	16.39%
Doubles /BIP	6.62%	÷0.982	×0.840	×0.964	×1.042	5.68%
Triples /BIP	1.96%	÷0.943	×0.940	×0.964	×1.042	1.96%
Home runs /BIP	5.39%	÷0.951	×0.800	—	×1.042	4.73%

Factors used: league row TL. Park (home-season share, regressed): HR 90, 1B 96, 2B 96, 3B 89, K 98, BB 113 — 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 ×0.964.

Result: wOBA .330 → .289; ISO .218 → .192; BABIP .272 → .250. 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).

2012 A+Inland Empire 66ers · 575 PAwOBA .349 → .303 (−46)K% 16.0% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷0.969	×1.340	—	—	22.12%
BB% (unintentional) /PA	3.48%	÷1.021	×0.710	—	×1.027	2.48%
HBP% /PA	1.57%	—	×0.790	—	×1.027	1.27%
Singles /BIP	23.15%	÷1.021	×0.910	×0.960	×1.027	20.34%
Doubles /BIP	6.74%	÷0.931	×0.820	×0.960	×1.027	5.86%
Triples /BIP	2.02%	÷1.018	×0.760	×0.960	×1.027	1.49%
Home runs /BIP	4.04%	÷0.823	×0.920	—	×1.027	4.64%

Factors used: league row CAL. Park (home-season share, regressed): HR 65, 1B 104, 2B 86, 3B 104, K 94, BB 104 — 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 ×0.960.

Result: wOBA .349 → .303; ISO .190 → .181; BABIP .329 → .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).

2011 ACedar Rapids Kernels · 131 PAwOBA .287 → .218 (−70)K% 22.1% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.14%	÷0.964	×1.360	—	—	31.24%
BB% (unintentional) /PA	4.58%	÷0.996	×0.690	—	×1.030	3.27%
HBP% /PA	0.76%	—	×0.780	—	×1.030	0.61%
Singles /BIP	16.13%	÷1.020	×0.920	×0.963	×1.030	14.42%
Doubles /BIP	7.53%	÷1.028	×0.830	×0.963	×1.030	6.03%
Triples /BIP	4.30%	÷1.117	×0.910	×0.963	×1.030	3.48%
Home runs /BIP	2.15%	÷1.106	×0.800	—	×1.030	1.60%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 106, 3B 123, K 93, BB 99 — 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 ×0.963.

Result: wOBA .287 → .218; ISO .172 → .124; BABIP .280 → .237. 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
#1Joe Rudi'67-'82 * career totals — 15 seasons, 6,076 PA	9.2	6,076	179	25	266*	314*	471*	-75	-5	18.7	18.1
/162	664	20	3	-8.2	-0.5	2.0	pk7: 18
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 15 projected seasons	8.1	5,411	240	28	254	298	474	-58	-25	17.0	14.8
/162	664	29	3	-7.1	-3.1	2.1	pk7: 13
#2Wilmer Floreslast yr '25 career totals — 13 seasons, 4,706 PA	7.1	4,706	169	6	259	316	429	-12	-16	14.8	14.1
/162	664	24	1	-1.6	-2.3	2.1	pk7: 13
#3Glenallen Hill'89-'01 * career totals — 13 seasons, 4,033 PA	6.1	4,033	186	96	261*	311*	484*	-48	-14	13.8	13.5
/162	664	31	16	-7.9	-2.3	2.3	pk7: 13
#4Josh Reddicklast yr '21 career totals — 13 seasons, 4,879 PA	7.3	4,879	146	61	262	321	426	-52	-8	13.1	13.0
/162	664	20	8	-7.1	-1.1	1.8	pk7: 13
#5Candy Maldonado'81-'95 * career totals — 13 seasons, 4,590 PA	6.9	4,590	146	34	252*	320*	452*	-47	-24	10.6	11.0
/162	664	21	5	-6.8	-3.4	1.5	pk7: 11
#6Eddie Rosariolast yr '24 career totals — 10 seasons, 4,347 PA	6.5	4,347	169	65	262	298	450	-47	-39	7.0	8.7
/162	664	26	10	-7.1	-6.0	1.1	pk7: 10

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
Randal Grichuk (OGILVIE)	35	—	—	—	—	259/298/484	225	291	8	1	21%	5%	117	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Olmedo Saenz 2007 · MLB	36	51	60	42→30	48	270/335/494	224	301	28	3	21%	7%	132	+3.6	244/324/428	184	279	22	6	21%	9%	112	+2.2	184/295/333	149	200	18	0	19%	12%	82	+0.0
✕Kit Pellow 2009 · AAA	35	49→55	59→60	45→40	45	264/325/469	205	288	28	5	20%	6%	123	+3.0	245/294/385	140	275	16	5	18%	5%	91	+0.7	232/273/340	108	250	12	1	13%	3%	71	-0.5
●Ruben Mateo 2013 · AAA	35	47→50	57→60	39→45	41	251/292/445	194	270	26	5	19%	4%	105	+1.7	244/304/428	184	272	24	3	20%	5%	105	+1.7	233/299/406	173	260	24	1	21%	5%	97	+0.7
●Salvador Perez 2024 · MLB	34	48→58	60→70	46→30	38	259/296/467	208	292	31	2	24%	3%	112	+2.2	252/296/444	192	278	27	2	20%	4%	106	+1.8	245/291/435	190	266	26	0	19%	4%	103	+1.6
✕Kurt Suzuki 2020 · MLB	36	50→60	58→60	40→45	50	265/327/467	202	261	27	2	12%	6%	123	+3.0	241/313/392	151	262	18	4	16%	7%	100	+1.3	217/297/333	116	245	13	1	17%	7%	82	+0.0
✕Todd Greene 2006 · MLB	35	48	59→65	46→30	44	260/296/462	202	273	28	4	18%	5%	110	+2.1	258/305/414	156	316	16	6	23%	6%	101	+1.4	284/318/420	136	383	7	0	26%	4%	107	+0.5
●Jermaine Dye 2009 · MLB	35	52→61	64→70	44→45	49	280/337/526	246	293	32	4	18%	7%	140	+4.2	260/334/470	210	281	27	4	18%	9%	126	+3.2	248/336/449	201	266	28	0	19%	11%	123	+2.9
✕Mark Reynolds 2019 · MLB	35	49→56	56→65	43→50	50	251/329/439	189	316	25	3	28%	10%	116	+2.5	226/314/391	165	306	20	8	30%	11%	100	+1.3	159/283/285	126	237	13	7	35%	14%	69	-0.3
✕Eduardo Escobar 2023 · MLB	34	47→57	55→60	43→50	47	246/301/439	193	282	23	2	22%	7%	106	+1.8	237/290/391	154	292	17	6	24%	7%	91	+0.6	224/269/341	117	286	11	4	25%	6%	71	-0.4
●Carlos Lee 2011 · MLB	35	52→58	55→65	42→50	51	269/313/454	185	260	24	5	9%	6%	114	+2.4	264/321/412	148	270	16	4	9%	8%	107	+1.8	266/329/403	137	274	13	3	9%	8%	108	+2.0
✕Matt Kemp 2019 · MLB	34	53→63	57→65	40→55	44	277/318/471	195	320	26	2	22%	6%	120	+2.8	250/305/411	161	313	21	5	26%	7%	101	+1.4	226/308/385	160	297	24	5	31%	11%	99	+0.3
✕Stephen Vogt 2020 · MLB	35	47→57	56→60	47→40	49	246/306/449	203	282	22	6	22%	8%	110	+2.1	216/287/381	165	257	19	5	23%	9%	88	+0.4	179/259/328	149	204	20	1	24%	9%	66	-0.4
●Robinson Chirinos 2019 · MLB	35	44→46	58→60	48→50	50	233/339/438	205	298	26	4	30%	10%	121	+2.9	229/329/416	187	300	22	4	30%	10%	112	+2.2	212/314/387	175	281	21	1	30%	10%	101	+0.6
✕Juan Gonzalez 2004 · MLB	34	54→59	63→65	46→40	44	290/331/526	236	313	32	4	19%	5%	139	+4.1	265/312/452	187	291	24	6	18%	6%	114	+2.3	271/319/434	163	286	22	0	14%	6%	112	+0.5
✕Jorge Cantu 2016 · AAA	34	51→58	55	48→40	47	264/320/449	185	285	23	6	18%	6%	116	+2.5	226/282/349	123	273	13	6	22%	6%	78	-0.3	201/259/306	105	251	12	3	24%	6%	59	-0.9
✕John Lindsey 2013 · AAA	36	45→51	57→60	43→30	41	241/302/437	196	290	25	2	27%	6%	107	+1.8	224/299/413	189	280	25	3	29%	7%	101	+1.4	204/288/394	190	253	27	0	30%	7%	90	+0.4
✕Greg Norton 2007 · MLB	35	49	56→60	33→40	51	258/327/448	189	291	25	3	21%	9%	118	+2.6	250/339/395	145	302	16	5	21%	12%	110	+2.1	236/342/350	113	292	11	2	21%	14%	102	+0.5
✕Mario Valenzuela 2012 · AAA	35	51→57	54→55	48→40	47	265/318/442	178	302	23	6	21%	7%	114	+2.3	252/300/391	139	310	17	4	23%	6%	94	+0.9	250/294/370	119	314	14	2	24%	5%	86	+0.1
✕Eduardo Rios 2007 · AAA	34	47	58→65	41→45	47	250/296/453	203	258	27	7	16%	6%	108	+1.9	256/300/424	168	277	22	11	17%	5%	102	+1.5	292/322/421	129	309	21	11	13%	3%	108	+0.6
✕Ryan Ludwick 2013 · MLB	35	49→55	55→65	37→45	50	253/322/439	186	290	23	2	21%	8%	114	+2.4	240/302/387	147	290	17	3	22%	8%	95	+0.9	227/287/337	110	283	11	0	23%	7%	76	-0.2

Randal Grichuk

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps