Tyrone Taylor

RF Chicago Cubs

Age 33 R/R 6'0" / 218 lbs MLB HR -8% Svc 6.541 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	MLBNYM	345	.248/.300/.401	7	11	101	0.6
2025	31	MLBNYM	341	.223/.280/.319	2	12	72	0.3
2026	32	MLBCHC	241	.279/.328/.502	11	3	127	1.0
2027PROJ	33	MLBCHC	187	.244/.298/.392	4	10	92	0.2
2028PROJ	34	MLBCHC	156	.234/.287/.371	3	5	83	-0.5

Last 3 seasons WAR 2.0 · Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.541First FA2028

2027Ext / FA-deal$4M

Skills · percentileStatcast 2024-2026

Speed90

xwOBA46

Bat Spd43

Barrel%35

Avg EV21

Form.261/.305/.421 ▲ rolling true talent (60d window) · proj .242/.294/.389

CompsWynton Bernard (age 33) · Willie Bloomquist (age 33) · Justin Christian (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9492vR 85

AVG/OBP/SLG.244 / .298 / .392

PA187

HR4

SB10

K%20

BB%5

BABIP288

ISO140

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 55 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

480.250

POWER40

Barrel%

356.3

Avg EV

2186.9

Bat Spd

4370.7

EYE45

scouting grade only

SPEED60

Sprint

9029.2

Recent Formrolling true talent ⓘ

K%15%▲▲9% over 45 PA (60d) · proj 20%

BB%5%▼2% over 45 PA (60d) · proj 5%

ISO.160▲.209 over 43 AB (60d) · proj .147

HR/BB3.1%·2.5% over 40 BBE (60d) · proj 3.3%

BABIP.289▲.385 over 39 BIP (60d) · proj .285

SLASH.261/.305/.421▲proj .242/.294/.389

Platoon Splits2024-2026 · 707 PA

vs LHP

vs RHP

Edge

234

473

—

wRC+

▶R

wOBA

284

289

—

ISO

107

137

▶▶R

BABIP

284

303

▶R

20.1%

23.9%

◀◀L

BB%

6.8%

3.6%

◀◀L

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

Status FA

MLB Debut 2020

Service 6.541 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$4M	+0.5	$2M	-$2M
Totals		$4M		$2M	-$2M

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)
2012	18	ROK	Helena Brewers	—	83	75	29	9	3	2	6	11	1	6	3	387	439	667	1.106	280	429	13	7	471	115	—	—	—	—	—	—
2013	19	A	Wisconsin Timber Rattlers	—	549	485	133	33	2	8	35	63	14	19	8	274	341	400	741	126	299	11	6	325	79	—	—	—	—	—	—
2014	20	A+	Brevard County Manatees	—	559	507	141	36	3	6	39	58	4	22	6	278	335	396	731	118	301	10	7	323	86	—	—	—	—	—	—
2014	20	INTL	Glendale Desert Dogs	—	93	85	23	1	1	0	5	7	1	3	1	271	319	306	625	35	291	8	5	281	76	—	—	—	—	—	—
2015	21	AA	Biloxi Shuckers	—	504	454	118	20	3	3	31	55	5	10	6	260	314	337	651	77	287	11	6	288	67	—	—	—	—	—	—
2016	22	AA	Biloxi Shuckers	—	519	465	108	15	1	9	38	73	9	9	5	232	303	327	630	95	258	14	7	285	51	—	—	—	—	—	—
2017	23	AA	Biloxi Shuckers	—	95	85	21	6	1	1	8	18	1	2	1	247	319	376	696	129	299	19	8	310	61	—	—	—	—	—	—
2017	23	ROK	AZL Brewers	—	26	23	10	1	0	4	3	3	0	2	0	435	500	1.000	1.500	565	375	12	12	624	187	—	—	—	—	—	—
2018	24	AAA	Colorado Springs Sky Sox	—	481	446	124	23	9	20	27	74	3	13	4	278	324	504	828	226	292	15	6	357	70	—	—	—	—	—	—
2019	25	AAA	San Antonio Missions	—	375	334	90	20	1	14	28	85	7	5	0	269	339	461	800	192	317	23	7	349	70	—	—	—	—	—	—
2019	25	ROK	AZL Brewers Gold	—	15	12	5	1	0	0	1	2	2	0	0	417	533	500	1.033	83	500	13	7	471	113	—	—	—	—	—	—
2020	26	MLB	Milwaukee Brewers	—	41	38	9	4	0	2	2	8	1	0	0	237	293	500	793	263	250	20	5	345	122	+1	+0	+0	-0	+1	0.2
2021	27	MLB	Milwaukee Brewers	—	271	243	60	9	3	12	20	59	7	6	1	247	322	457	779	210	277	22	7	343	116	+5	+1	+1	-3	+6	1.0
2021	27	AAA	Nashville Sounds	—	35	28	14	4	0	3	5	4	0	0	0	500	576	964	1.540	464	478	11	14	606	270	—	—	—	—	—	—
2022	28	MLB	Milwaukee Brewers	—	405	373	87	21	3	17	22	102	7	3	2	233	289	442	731	209	272	25	5	319	103	+1	-0	+4	+1	+9	1.6
2023	29	MLB	Milwaukee Brewers	—	243	231	54	17	1	10	8	55	3	9	0	234	269	446	714	212	263	23	3	311	98	-0	+2	+2	-3	+5	0.5
2023	29	AAA	Nashville Sounds	—	56	49	12	2	1	4	4	12	3	2	0	245	339	571	911	327	242	21	7	393	97	—	—	—	—	—	—
2024	30	MLB	New York Mets	—	345	319	79	22	3	7	19	80	5	11	2	248	300	401	702	154	309	23	6	311	101	+0	+1	+1	-4	+7	0.6
2025	31	MLB	New York Mets	—	341	310	69	18	3	2	16	76	9	12	2	223	280	319	599	97	286	22	5	268	72	-11	+2	+4	+1	+7	0.3
2026	32	MLB	Chicago Cubs	—	241	219	61	16	0	11	14	41	2	3	2	279	328	502	830	224	296	17	6	355	127	+8	-0	+0	-3	+5	1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1887	1733	419	107	13	61	101	421	34	44	9	242	296	424	721	182	284	22	5	316	100	-0	+5	+12	-11	+41	4.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	Helena Brewers	—	83	77	22	6	2	2	4	16	1	6	3	286	329	494	823	208	326	19	5	338	115	—	—	—	—	—	—
2013	19	A MLE	Wisconsin Timber Rattlers	—	549	497	127	28	2	7	23	88	14	19	8	256	307	362	669	107	283	16	4	285	79	—	—	—	—	—	—
2014	20	A+ MLE	Brevard County Manatees	—	559	517	135	38	3	6	29	87	4	22	6	261	305	381	686	120	292	16	5	295	86	—	—	—	—	—	—
2015	21	AA MLE	Biloxi Shuckers	—	504	463	116	21	3	2	22	69	5	10	6	251	292	322	614	71	279	14	4	267	67	—	—	—	—	—	—
2016	22	AA MLE	Biloxi Shuckers	—	519	480	104	15	1	6	23	89	9	9	5	217	266	290	555	73	250	17	4	244	51	—	—	—	—	—	—
2017	23	AA MLE	Biloxi Shuckers	—	95	88	20	6	1	1	5	23	1	2	1	227	277	352	629	125	276	24	5	258	61	—	—	—	—	—	—
2017	23	ROK MLE	AZL Brewers	—	26	24	8	1	0	3	2	4	0	2	0	333	385	750	1.135	417	274	15	8	445	187	—	—	—	—	—	—
2018	24	AAA MLE	Colorado Springs Sky Sox	—	481	453	99	18	6	14	20	103	3	13	4	219	256	377	634	159	247	21	4	272	70	—	—	—	—	—	—
2019	25	AAA MLE	San Antonio Missions	—	375	342	72	14	1	11	20	112	7	5	0	211	268	354	622	143	267	30	5	272	70	—	—	—	—	—	—
2019	25	ROK MLE	AZL Brewers Gold	—	15	12	4	1	0	0	1	3	2	0	0	333	467	417	883	83	378	20	7	335	113	—	—	—	—	—	—
2020	26	MLB MLE	Milwaukee Brewers	—	41	38	9	4	0	2	2	8	1	0	0	237	293	500	793	263	250	20	5	349	122	+1	+0	+0	-0	+1	0.2
2021	27	MLB MLE	Milwaukee Brewers	—	271	244	60	10	3	11	19	59	7	6	1	246	319	447	765	201	277	22	7	340	116	+5	+1	+1	-3	+6	1.0
2021	27	AAA MLE	Nashville Sounds	—	35	29	15	4	0	3	4	5	0	0	0	517	576	966	1.541	448	425	14	11	567	270	—	—	—	—	—	—
2022	28	MLB MLE	Milwaukee Brewers	—	405	373	87	22	3	16	22	102	7	3	2	233	289	437	726	204	272	25	5	321	103	+1	-0	+4	+1	+9	1.6
2023	29	MLB MLE	Milwaukee Brewers	—	243	231	55	18	1	10	8	55	3	9	0	238	273	455	727	216	263	23	3	314	98	-0	+2	+2	-3	+5	0.5
2023	29	AAA MLE	Nashville Sounds	—	56	50	11	2	1	3	3	15	3	2	0	220	304	480	784	260	222	27	5	312	97	—	—	—	—	—	—
2024	30	MLB MLE	New York Mets	—	345	320	81	23	3	7	18	80	5	11	2	253	303	409	713	156	309	23	5	317	101	+0	+1	+1	-4	+7	0.6
2025	31	MLB MLE	New York Mets	—	341	312	71	19	3	2	15	76	9	12	2	228	283	327	610	99	286	22	4	274	72	-11	+2	+4	+1	+7	0.3
2026	32	MLB MLE	Chicago Cubs	—	241	219	61	16	0	11	14	41	2	3	2	279	328	502	830	224	296	17	6	356	127	+8	-0	+0	-3	+5	1.0
2012	18	ROK MLE	Helena Brewers	—	83	77	22	6	2	2	4	16	1	6	3	286	329	494	823	208	333	19	5	338	115	—	—	—	—	—	—
2012	18	ROK RAW	Helena Brewers	—	83	75	29	9	3	2	6	11	1	6	3	387	439	667	1.106	280	429	13	7	471	115	—	—	—	—	—	—
2013	19	A MLE	Wisconsin Timber Rattlers	—	549	497	127	28	2	7	23	88	14	19	8	256	307	362	669	107	296	16	4	285	79	—	—	—	—	—	—
2013	19	A RAW	Wisconsin Timber Rattlers	—	549	485	133	33	2	8	35	63	14	19	8	274	341	400	741	126	299	11	6	325	79	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	652	602	157	44	3	7	34	102	5	25	7	261	306	379	685	118	300	16	5	295	86	—	—	—	—	—	—
2014	20	A+ RAW	2 teams	—	652	592	164	37	4	6	44	65	5	25	7	277	332	383	716	106	299	10	7	317	86	—	—	—	—	—	—
2015	21	AA MLE	Biloxi Shuckers	—	504	463	116	21	3	2	22	69	5	10	6	251	292	322	614	71	288	14	4	267	67	—	—	—	—	—	—
2015	21	AA RAW	Biloxi Shuckers	—	504	454	118	20	3	3	31	55	5	10	6	260	314	337	651	77	287	11	6	288	67	—	—	—	—	—	—
2016	22	AA MLE	Biloxi Shuckers	—	519	480	104	15	1	6	23	89	9	9	5	217	266	290	555	73	255	17	4	244	51	—	—	—	—	—	—
2016	22	AA RAW	Biloxi Shuckers	—	519	465	108	15	1	9	38	73	9	9	5	232	303	327	630	95	258	14	7	285	51	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	121	112	27	6	1	4	7	27	1	4	1	241	292	420	711	179	280	22	6	298	88	—	—	—	—	—	—
2017	23	AA RAW	2 teams	—	121	108	31	7	1	5	11	21	1	4	1	287	358	509	868	222	313	17	9	378	88	—	—	—	—	—	—
2018	24	AAA MLE	Colorado Springs Sky Sox	—	481	453	99	18	6	14	20	103	3	13	4	219	256	377	634	159	250	21	4	272	70	—	—	—	—	—	—
2018	24	AAA RAW	Colorado Springs Sky Sox	—	481	446	124	23	9	20	27	74	3	13	4	278	324	504	828	226	292	15	6	357	70	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	390	355	77	15	1	11	20	115	9	5	0	217	276	358	634	141	282	29	5	274	72	—	—	—	—	—	—
2019	25	AAA RAW	2 teams	—	390	346	95	21	1	14	29	87	9	5	0	275	346	462	809	188	324	22	7	354	72	—	—	—	—	—	—
2020	26	MLB MLE	Milwaukee Brewers	—	41	38	9	4	0	2	2	8	1	0	0	237	293	500	793	263	250	20	5	349	122	+1	+0	+0	-0	+1	0.2
2020	26	MLB RAW	Milwaukee Brewers	—	41	38	9	4	0	2	2	8	1	0	0	237	293	500	793	263	250	20	5	345	122	+1	+0	+0	-0	+1	0.2
2021	27	MLB MLE	2 teams	—	306	273	74	13	3	14	23	64	7	6	1	271	343	495	838	223	303	21	8	366	134	+12	+1	+1	-3	+7	1.8
2021	27	MLB RAW	2 teams	—	306	271	74	13	3	15	25	63	7	6	1	273	350	509	859	236	301	21	8	373	134	+12	+1	+1	-3	+7	1.8
2022	28	MLB MLE	Milwaukee Brewers	—	405	373	87	22	3	16	22	102	7	3	2	233	289	437	726	204	275	25	5	321	103	+1	-0	+4	+1	+9	1.6
2022	28	MLB RAW	Milwaukee Brewers	—	405	373	87	21	3	17	22	102	7	3	2	233	289	442	731	209	272	25	5	319	103	+1	-0	+4	+1	+9	1.6
2023	29	MLB MLE	2 teams	—	299	281	65	20	2	12	11	70	6	11	0	231	275	445	720	214	265	23	4	313	98	-1	+2	+2	-3	+6	0.7
2023	29	MLB RAW	2 teams	—	299	280	66	19	2	14	12	67	6	11	0	236	282	468	750	232	260	22	4	326	98	-1	+2	+2	-3	+6	0.7
2024	30	MLB MLE	New York Mets	—	345	320	81	23	3	7	18	80	5	11	2	253	303	409	713	156	316	23	5	317	101	+0	+1	+1	-4	+7	0.6
2024	30	MLB RAW	New York Mets	—	345	319	79	22	3	7	19	80	5	11	2	248	300	401	702	154	309	23	6	311	101	+0	+1	+1	-4	+7	0.6
2025	31	MLB MLE	New York Mets	—	341	312	71	19	3	2	15	76	9	12	2	228	283	327	610	99	292	22	4	274	72	-11	+2	+4	+1	+7	0.3
2025	31	MLB RAW	New York Mets	—	341	310	69	18	3	2	16	76	9	12	2	223	280	319	599	97	286	22	5	268	72	-11	+2	+4	+1	+7	0.3
2026	32	MLB MLE	Chicago Cubs	—	241	219	61	16	0	11	14	41	2	3	2	279	328	502	830	224	296	17	6	356	127	+8	-0	+0	-3	+5	1.0
2026	32	MLB RAW	Chicago Cubs	—	241	219	61	16	0	11	14	41	2	3	2	279	328	502	830	224	296	17	6	355	127	+8	-0	+0	-3	+5	1.0
2012	18	ROK MLE	Helena Brewers	—	83	78	22	6	2	2	4	16	1	6	3	282	329	487	816	205	326	19	5	338	115	—	—	—	—	—	—
2013	19	A MLE	Wisconsin Timber Rattlers	—	549	507	127	28	2	7	23	88	14	19	8	250	307	355	662	105	283	16	4	285	79	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	652	608	157	44	3	7	34	102	5	25	7	258	306	375	681	117	292	16	5	295	86	—	—	—	—	—	—
2015	21	AA MLE	Biloxi Shuckers	—	504	472	116	21	3	2	22	69	5	10	6	246	292	316	608	70	279	14	4	267	67	—	—	—	—	—	—
2016	22	AA MLE	Biloxi Shuckers	—	519	482	104	15	1	6	23	89	9	9	5	216	266	288	554	73	250	17	4	244	51	—	—	—	—	—	—
2017	23	AA MLE	2 teams	—	121	112	27	6	1	4	7	27	1	4	1	241	292	420	711	179	276	22	6	298	88	—	—	—	—	—	—
2018	24	AAA MLE	Colorado Springs Sky Sox	—	481	455	99	18	6	14	20	103	3	13	4	218	256	376	632	158	247	21	4	272	70	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	390	358	77	15	1	11	20	115	9	5	0	215	276	355	631	140	271	29	5	274	72	—	—	—	—	—	—
2020	26	MLB MLE	Milwaukee Brewers	—	41	38	9	4	0	2	2	8	1	0	0	237	293	500	793	263	250	20	5	349	122	—	—	—	—	—	—
2021	27	MLB MLE	2 teams	—	306	273	74	13	3	14	23	64	7	6	1	271	343	495	838	223	294	21	8	366	134	—	—	—	—	—	—
2022	28	MLB MLE	Milwaukee Brewers	—	405	373	87	22	3	16	22	102	7	3	2	233	289	437	726	204	272	25	5	321	103	—	—	—	—	—	—
2023	29	MLB MLE	2 teams	—	299	280	65	20	2	12	11	70	6	11	0	232	275	446	722	214	256	23	4	313	98	—	—	—	—	—	—
2024	30	MLB MLE	New York Mets	—	345	319	81	23	3	7	18	80	5	11	2	254	303	411	714	157	309	23	5	317	101	—	—	—	—	—	—
2025	31	MLB MLE	New York Mets	—	341	314	71	19	3	2	15	76	9	12	2	226	283	325	608	99	286	22	4	274	72	—	—	—	—	—	—
2026	32	MLB MLE	Chicago Cubs	—	241	223	61	16	0	11	14	41	2	3	2	274	328	493	821	220	296	17	6	356	127	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	New York Mets	—	345	319	81	23	3	7	18	80	5	11	2	254	303	411	714	157	309	23	5	317	101	—	—	—	—	—	—
2025	31	MLB MLE	New York Mets	—	341	314	71	19	3	2	15	76	9	12	2	226	283	325	608	99	286	22	4	274	72	—	—	—	—	—	—
2026	32	MLB MLE	Chicago Cubs	—	241	223	61	16	0	11	14	41	2	3	2	274	328	493	821	220	296	17	6	356	127	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	CHC	100%	295	272	67	16	2	7	16	60	5	15	3	242	296	389	685	147	285	20	5	304	92	-3	+2	+1	-3	+6	0.5
▸ 2027 — real world (MLB)
2027	33	MLB CTX	CHC	100%	187	172	41	10	1	4	10	38	3	10	2	244	298	392	690	147	288	20	5	306	92	-2	+1	+1	-2	+4	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	CHC	100%	156	145	34	8	1	3	8	33	2	5	1	232	285	368	653	135	276	21	5	290	83	-3	+1	-4	-2	+3	-0.5
2028	34	MLB CTX	CHC	100%	156	145	34	8	1	3	8	33	2	5	1	234	287	371	658	136	280	21	5	292	83	-3	+1	-4	-2	+3	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2043	1878	453	115	14	64	109	454	36	49	10	241	295	420	715	178	284	22	5	314	85	-3	+6	+8	-12	+44	4.4
/ 162G	—	A+C		—	650	598	144	37	4	20	35	144	11	16	3	241	295	416	711	176	284	22	5	314	85	-1	+2	+3	-4	+14	1.4
Career	—	MLE		—	5620	5172	1252	288	35	124	276	1121	89	152	46	242	292	383	675	141	284	20	5	294	85	-5	+7	+9	-14	+48	4.6
/ 162G	—	MLE		—	650	598	144	33	4	14	32	130	10	18	5	241	291	380	670	139	283	20	5	294	85	-1	+2	+3	-4	+14	1.3

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.

2023 AAANashville Sounds · 56 PAwOBA .382 → .312 (−70)K% 21.4% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.978	×1.200	—	—	26.30%
BB% (unintentional) /PA	7.14%	÷0.995	×0.690	—	×0.982	4.87%
HBP% /PA	5.36%	—	×0.940	—	×0.982	4.95%
Singles /BIP	13.51%	÷0.953	×0.930	—	×0.982	12.95%
Doubles /BIP	5.41%	÷0.971	×0.830	—	×0.982	4.54%
Triples /BIP	2.70%	÷0.900	×0.970	—	×0.982	2.86%
Home runs /BIP	10.81%	÷0.905	×0.700	—	×0.982	8.21%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 91, 2B 94, 3B 80, K 96, BB 99 — 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).

Result: wOBA .382 → .312; ISO .327 → .255; BABIP .242 → .222. 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 AAANashville Sounds · 35 PAwOBA .624 → .567 (−57)K% 11.4% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.43%	÷1.024	×1.200	—	—	13.40%
BB% (unintentional) /PA	14.29%	÷0.946	×0.690	—	×1.003	10.45%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	29.17%	÷0.966	×0.930	—	×1.003	28.15%
Doubles /BIP	16.67%	÷1.030	×0.830	—	×1.003	13.47%
Triples /BIP	0.00%	÷1.150	×0.920	—	×1.003	0.00%
Home runs /BIP	12.50%	÷0.915	×0.700	—	×1.003	9.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 .624 → .567; ISO .464 → .402; BABIP .478 → .425. 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 AAASan Antonio Missions · 375 PAwOBA .344 → .272 (−72)K% 22.7% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷0.979	×1.290	—	—	29.85%
BB% (unintentional) /PA	7.47%	÷1.055	×0.710	—	×1.033	5.19%
HBP% /PA	1.87%	—	×0.980	—	×1.033	1.89%
Singles /BIP	22.09%	÷0.995	×0.900	×0.950	×1.033	19.61%
Doubles /BIP	8.03%	÷1.045	×0.810	×0.950	×1.033	6.11%
Triples /BIP	0.40%	÷0.930	×0.810	×0.950	×1.033	0.34%
Home runs /BIP	5.62%	÷0.977	×0.780	—	×1.033	4.64%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .344 → .272; ISO .192 → .147; BABIP .317 → .267. 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 ROKAZL Brewers Gold · 15 PAwOBA .460 → .335 (−125)K% 13.3% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷1.000	×1.440	—	—	19.20%
BB% (unintentional) /PA	6.67%	÷1.000	×0.620	—	×0.945	3.91%
HBP% /PA	13.33%	—	×0.720	—	×0.945	9.07%
Singles /BIP	40.00%	÷1.000	×0.820	—	×0.945	31.00%
Doubles /BIP	10.00%	÷1.000	×0.720	—	×0.945	6.80%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	0.00%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .460 → .335; ISO .083 → .058; BABIP .500 → .378. 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 AAAColorado Springs Sky Sox · 481 PAwOBA .350 → .272 (−78)K% 15.4% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.925	×1.290	—	—	21.45%
BB% (unintentional) /PA	5.61%	÷0.985	×0.710	—	×1.048	4.24%
HBP% /PA	0.62%	—	×0.980	—	×1.048	0.64%
Singles /BIP	19.35%	÷1.014	×0.900	×0.963	×1.048	17.34%
Doubles /BIP	6.18%	÷1.014	×0.810	×0.963	×1.048	4.99%
Triples /BIP	2.42%	÷1.150	×0.810	×0.963	×1.048	1.72%
Home runs /BIP	5.38%	÷1.124	×0.780	—	×1.048	3.91%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .350 → .272; ISO .226 → .160; BABIP .292 → .247. 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 AABiloxi Shuckers · 95 PAwOBA .306 → .258 (−47)K% 18.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.95%	÷0.959	×1.220	—	—	24.11%
BB% (unintentional) /PA	8.42%	÷1.035	×0.680	—	×1.027	5.68%
HBP% /PA	1.05%	—	×0.840	—	×1.027	0.91%
Singles /BIP	19.40%	÷0.986	×0.920	×0.960	×1.027	17.84%
Doubles /BIP	8.96%	÷0.946	×0.910	×0.960	×1.027	8.49%
Triples /BIP	1.49%	÷0.915	×0.880	×0.960	×1.027	1.42%
Home runs /BIP	1.49%	÷1.393	×0.800	—	×1.027	0.88%

Factors used: league row SL. Park (home-season share, regressed): HR 179, 1B 97, 2B 89, 3B 83, K 92, BB 107 — applied at half strength. Age: age 23 vs a level average of 24.8 → +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 .306 → .258; ISO .129 → .108; BABIP .299 → .276. 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 ROKAZL Brewers · 26 PAwOBA .605 → .445 (−160)K% 11.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷1.000	×1.440	—	—	16.62%
BB% (unintentional) /PA	11.54%	÷1.000	×0.620	—	×0.965	6.90%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	25.00%	÷1.000	×0.820	—	×0.965	19.78%
Doubles /BIP	5.00%	÷1.000	×0.720	—	×0.965	3.47%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	20.00%	÷1.000	×0.780	—	×0.965	15.05%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .605 → .445; ISO .565 → .420; BABIP .375 → .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 AABiloxi Shuckers · 519 PAwOBA .278 → .244 (−34)K% 14.1% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.07%	÷0.999	×1.220	—	—	17.18%
BB% (unintentional) /PA	7.32%	÷1.152	×0.680	—	×1.042	4.50%
HBP% /PA	1.73%	—	×0.840	—	×1.042	1.52%
Singles /BIP	21.17%	÷0.973	×0.920	×0.987	×1.042	20.60%
Doubles /BIP	3.83%	÷0.955	×0.910	×0.987	×1.042	3.75%
Triples /BIP	0.26%	÷0.922	×0.880	×0.987	×1.042	0.25%
Home runs /BIP	2.30%	÷1.243	×0.800	—	×1.042	1.54%

Factors used: league row SL. Park (home-season share, regressed): HR 149, 1B 95, 2B 91, 3B 84, K 100, BB 130 — 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 ×0.987.

Result: wOBA .278 → .244; ISO .095 → .076; BABIP .258 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.3	2,189	67	59	242	293	417	-23	+10	4.1	4.3
/162	664	20	18	-7.1	+3.2	1.2	pk7: 5
#2Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#3Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#4Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	pk7: 4
#5Carmelo Castillo'82-'91 * career totals — 8 seasons, 1,640 PA	2.5	1,640	55	15	249*	298*	438*	-24	+5	1.8	2.6
/162	664	22	6	-9.7	+1.9	0.7	pk7: 3
#6Leron Lee'69-'76 * career totals — 6 seasons, 1,769 PA	2.7	1,769	31	19	248*	306*	408*	-19	+0	2.2	2.5
/162	664	12	7	-7.2	+0.0	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
Tyrone Taylor (OGILVIE)	33	55	40	60	45	240/294/386	145	285	4	10	20%	5%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Wynton Bernard 2024 · MLB	33	49→59	43→45	60	45	240/290/359	119	294	10	32	22%	6%	82	+0.0	232/277/340	108	287	10	30	22%	5%	74	-0.6	225/254/312	87	273	7	44	20%	3%	54	-0.9
✕Willie Bloomquist 2011 · MLB	33	54→55	40	56→60	49	258/305/355	96	296	7	26	15%	6%	86	+0.3	268/308/354	86	309	6	19	14%	5%	87	+0.4	293/322/363	70	348	1	7	15%	4%	94	+0.3
✕Justin Christian 2013 · MLB	33	51→54	43→45	57→65	49	248/301/366	118	272	10	28	13%	6%	88	+0.5	228/278/329	101	258	8	18	15%	5%	72	-0.7	219/270/310	92	249	6	17	15%	5%	61	-0.9
✕Agustin Murillo 2015 · AAA	33	54→62	48→45	56→55	51	268/329/410	141	289	16	27	14%	7%	109	+2.0	247/298/358	111	270	11	20	13%	6%	86	+0.3	240/287/326	86	264	8	18	13%	6%	72	-0.4
✕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
✕Eugenio Velez 2015 · AAA	33	52→60	43→50	56→65	45	252/299/366	114	307	9	30	21%	6%	88	+0.4	245/288/333	88	296	7	26	19%	5%	76	-0.4	253/296/323	70	307	4	29	18%	5%	74	-0.3
✕Willy Taveras 2015 · AAA	33	46→56	42→45	60→65	44	225/279/329	104	272	9	27	20%	6%	72	-0.7	239/291/343	104	289	8	24	20%	5%	80	-0.2	247/297/348	101	301	8	22	20%	4%	80	-0.1
✕Demond Smith 2006 · AAA	33	53→51	45	56→60	47	260/307/394	134	292	11	26	16%	6%	97	+1.1	253/306/395	142	284	12	30	15%	6%	97	+1.1	246/307/380	134	278	11	38	15%	7%	93	+0.5
✕Christian Quintero 2009 · AAA	33	56→63	43→45	53→55	46	274/308/385	111	295	11	24	12%	4%	95	+1.0	257/299/382	125	272	13	14	11%	5%	92	+0.7	246/286/356	110	261	12	7	11%	5%	78	-0.2
✕Dustin Martin 2017 · AAA	33	54→58	47→50	57→55	46	266/321/409	143	327	15	27	23%	7%	106	+1.8	233/301/375	142	301	15	24	26%	8%	91	+0.7	206/284/344	138	266	16	26	28%	9%	80	-0.1
✕Pablo Ozuna 2008 · MLB	33	56	40	50→55	47	266/309/361	95	290	6	19	11%	5%	90	+0.6	247/291/347	100	276	7	14	13%	5%	80	-0.1	254/289/337	83	288	2	15	12%	3%	74	-0.1
✕Justin Greene 2019 · AAA	33	57→62	44→50	59→60	46	275/327/394	119	340	12	42	22%	7%	104	+1.6	244/294/364	120	321	13	21	27%	6%	85	+0.2	250/289/346	96	332	11	21	27%	5%	74	-0.2
✕Jon Berti 2024 · MLB	34	55→62	43→45	58→60	51	266/331/382	116	325	10	31	20%	8%	103	+1.6	252/313/354	102	311	10	28	21%	7%	91	+0.6	238/301/283	45	302	6	43	22%	7%	70	-0.2
✕Ryan LaMarre 2022 · MLB	33	47→52	46→45	53→60	42	228/295/358	130	318	13	23	31%	7%	86	+0.3	220/297/342	122	308	12	21	31%	7%	82	+0.0	200/284/303	103	284	11	24	31%	7%	66	-0.3
✕Noe Mata 2006 · AAA	32	51→57	45	54→50	44	252/304/375	124	304	12	20	21%	6%	92	+0.7	257/291/369	112	302	11	10	18%	4%	85	+0.2	266/295/373	107	307	11	7	17%	3%	84	+0.1
●Donzell McDonald II 2008 · AAA	33	50→60	45→50	64→65	51	240/310/374	134	294	10	34	21%	9%	94	+0.9	256/319/388	132	320	9	23	21%	8%	100	+1.3	263/326/398	134	324	9	22	20%	8%	104	+1.2
✕Damian Jackson 2005 · MLB	31	48→54	42→45	52→55	48	234/287/341	108	275	9	26	18%	7%	78	-0.3	240/319/372	132	282	14	18	19%	9%	97	+1.1	238/324/362	123	279	13	20	19%	10%	97	+0.5
✕Christian Zazueta 2017 · AAA	32	47→54	44→45	58→60	37	236/258/352	117	277	12	29	20%	2%	69	-0.9	224/250/319	95	264	9	27	19%	2%	58	-1.7	220/244/297	77	255	7	27	17%	2%	47	-1.5
✕Rajai Davis 2016 · MLB	35	54→64	47→50	63→70	46	266/313/416	149	310	12	37	18%	6%	104	+1.6	243/298/374	131	297	12	41	21%	7%	89	+0.5	234/291/346	112	290	10	52	22%	6%	81	-0.0

Tyrone Taylor

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps