Tucker Barnhart

C Round Rock Express

Age 36 L/R 5'8" / 192 lbs AAA HR +15%BB +5% Svc 13.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	32	AAAOklahoma City…	27	.227/.370/.273	0	0	43	—	.208/.296/.250
2023	32	MLBCHC	123	.202/.287/.257	1	1	58	0.5
2024	33	AAACIN	82	.187/.247/.253	0	0	4	—	.156/.198/.208
2024	33	MLBARI	96	.173/.287/.210	0	1	44	-0.3
2025	34	AAATEX	125	.214/.341/.330	2	0	53	—	.185/.285/.296
2025	34	MLBTEX	15	.231/.333/.231	0	0	72	0.2
2026	35	No MLB games played
2027PROJ10% MLB	36	MLBTEX	11	.213/.298/.307	0	0	74	0.0
2028PROJ	37	MLBTEX	80	.201/.285/.281	1	0	63	-0.8

Last 3 seasons WAR 0.5 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.000First FA2028

2027Ext / FA-deal$0.9M

Skills · percentileStatcast 2023-2025

Barrel%10

xwOBA10

Avg EV10

Speed10

Bat Spd10

CompsMatt Treanor (age 36) · Jamie Burke (age 36) · Paul Bako (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 5574vR 81

AVG/OBP/SLG.213 / .298 / .307

PA11

HR0

K%18

BB%9

BABIP268

ISO83

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractPOW 37

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT—

xAVG

100.170

POWER37

Barrel%

102.3

Avg EV

1085.4

Bat Spd

1066.5

EYE59

scouting grade only

SPEED24

Sprint

1024.4

Platoon Splits2024 · 96 PA

vs LHP

vs RHP

Edge

—

wRC+

-20

▶▶R

wOBA

138

293

▶▶R

ISO

033

039

▶▶R

BABIP

176

333

▶▶R

39.4%

28.6%

▶▶R

BB%

6.1%

17.5%

▶▶R

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

Status FA

MLB Debut 2014

Service 13.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$0.9M	—	—	—
Totals		$0.9M		$0.0M	-$0.9M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	18	ROK	GCL Reds	—	55	48	10	2	0	0	6	9	0	0	0	208	296	250	546	42	250	16	11	254	17	—	—	—	—	—	—
2010	19	ROK	Billings Mustangs	—	131	111	34	9	0	0	18	25	2	4	1	306	412	387	800	81	395	19	14	368	68	—	—	—	—	—	—
2011	20	A	Dayton Dragons	—	372	326	89	24	2	3	37	59	1	2	1	273	349	387	735	113	320	16	10	326	76	—	—	—	—	—	—
2012	21	AA	Pensacola Blue Wahoos	—	142	130	26	4	1	2	11	22	0	1	1	200	262	292	555	92	226	15	8	252	38	—	—	—	—	—	—
2012	21	A+	Bakersfield Blaze	—	231	198	55	12	1	4	29	45	1	0	2	278	373	409	782	131	340	19	13	349	79	—	—	—	—	—	—
2013	22	AA	Pensacola Blue Wahoos	—	395	339	88	19	1	3	45	57	3	1	0	260	351	348	700	88	300	14	11	316	77	—	—	—	—	—	—
2013	22	INTL	Glendale Desert Dogs	—	59	49	12	3	0	0	9	7	0	0	0	245	362	306	668	61	279	12	15	310	96	—	—	—	—	—	—
2014	23	MLB	Cincinnati Reds	—	60	54	10	0	0	1	4	10	0	0	0	185	241	241	482	56	209	17	7	217	22	-6	+0	+2	+6	+1	0.4
2014	23	AAA	Louisville Bats	—	292	256	63	9	3	1	28	34	1	0	1	246	323	316	639	70	277	12	10	288	59	—	—	—	—	—	—
2015	24	MLB	Cincinnati Reds	—	274	242	61	9	0	3	25	45	2	0	1	252	327	326	654	74	294	16	9	296	76	-8	-0	+8	+5	+6	1.1
2015	24	AAA	Louisville Bats	—	18	16	5	3	0	0	1	4	0	0	0	312	353	500	853	188	385	22	6	353	114	—	—	—	—	—	—
2016	25	MLB	Cincinnati Reds	—	420	377	97	23	1	7	36	72	2	1	0	257	325	379	705	122	299	17	9	314	88	-6	+0	+5	+8	+9	1.6
2017	26	MLB	Cincinnati Reds	—	423	370	100	24	2	7	42	68	3	4	0	270	349	403	752	132	312	16	10	333	97	-2	+1	+5	+8	+9	2.1
2018	27	MLB	Cincinnati Reds	—	522	460	114	21	3	10	54	96	2	0	4	248	329	372	701	124	291	18	10	314	94	-4	-2	-5	+9	+11	1.0
2019	28	MLB	Cincinnati Reds	—	364	316	73	14	0	11	44	83	2	1	0	231	329	380	708	149	278	23	12	320	89	-5	+0	+11	+7	+8	2.2
2020	29	MLB	Cincinnati Reds	—	110	98	20	3	0	5	12	28	0	0	0	204	291	388	679	184	231	25	11	304	86	-2	+0	+8	+2	+2	1.0
2021	30	MLB	Cincinnati Reds	—	388	348	86	21	0	7	29	100	8	0	0	247	319	368	687	121	324	26	7	310	92	-4	+0	+13	+7	+8	2.5
2022	31	MLB	Detroit Tigers	—	308	281	62	10	0	1	25	74	1	0	0	221	287	267	554	46	296	24	8	257	62	-14	+0	+7	+6	+7	0.5
2023	32	MLB	Chicago Cubs	—	123	109	22	3	0	1	12	42	1	1	0	202	287	257	544	55	313	34	10	255	58	-6	+0	+6	+3	+3	0.5
2023	32	AAA	Oklahoma City Dodgers	—	27	22	5	1	0	0	5	10	0	0	0	227	370	273	643	45	417	37	19	311	43	—	—	—	—	—	—
2024	33	MLB	Arizona Diamondbacks	—	96	81	14	3	0	0	13	31	0	1	0	173	287	210	497	37	280	32	14	238	44	-6	+0	-2	+3	+2	-0.3
2024	33	AAA	Louisville Bats	—	82	75	14	5	0	0	6	11	0	0	0	187	247	253	500	67	219	13	7	229	4	—	—	—	—	—	—
2025	34	MLB	Texas Rangers	—	15	13	3	0	0	0	1	4	1	0	0	231	333	231	564		333	27	7	277	72	-1	+0	-0	+3	+0	0.2
2025	34	AAA	Round Rock Express	—	125	103	22	6	0	2	17	24	3	0	1	214	341	330	672	117	256	19	14	309	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3103	2749	662	131	6	53	297	653	22	8	5	241	320	351	670	110	296	21	10	303	91	-34	-0	+57	+65	+67	15.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	18	ROK MLE	GCL Reds	—	55	51	9	2	0	0	3	13	0	0	0	176	222	216	438	39	215	24	5	194	17	—	—	—	—	—	—
2010	19	ROK MLE	Billings Mustangs	—	131	118	28	7	0	0	11	36	2	4	1	237	313	297	610	59	332	27	8	268	68	—	—	—	—	—	—
2011	20	A MLE	Dayton Dragons	—	372	337	84	21	2	2	26	80	1	2	1	249	305	341	646	92	304	22	7	280	76	—	—	—	—	—	—
2012	21	AA MLE	Pensacola Blue Wahoos	—	142	133	26	4	1	1	8	26	0	1	1	195	241	263	504	68	237	18	6	225	38	—	—	—	—	—	—
2012	21	A+ MLE	Bakersfield Blaze	—	231	205	49	10	1	3	22	60	1	0	2	239	316	341	657	102	309	26	10	285	79	—	—	—	—	—	—
2013	22	AA MLE	Pensacola Blue Wahoos	—	395	352	86	19	1	2	32	66	3	1	0	244	313	321	634	77	283	17	8	282	77	—	—	—	—	—	—
2014	23	MLB MLE	Cincinnati Reds	—	60	55	10	0	0	1	3	10	0	0	0	182	224	236	461	55	209	17	5	201	22	-6	+0	+2	+6	+1	0.4
2014	23	AAA MLE	Louisville Bats	—	292	265	61	7	3	1	19	44	1	0	1	230	284	291	575	60	262	15	7	255	59	—	—	—	—	—	—
2015	24	MLB MLE	Cincinnati Reds	—	274	247	61	9	0	3	20	45	2	0	1	247	309	320	628	73	294	16	7	280	76	-8	-0	+8	+5	+6	1.1
2015	24	AAA MLE	Louisville Bats	—	18	16	5	3	0	0	1	5	0	0	0	312	353	500	853	188	357	28	6	337	114	—	—	—	—	—	—
2016	25	MLB MLE	Cincinnati Reds	—	420	385	96	23	1	6	28	72	2	1	0	249	304	361	665	112	299	17	7	298	88	-6	+0	+5	+8	+9	1.6
2017	26	MLB MLE	Cincinnati Reds	—	423	381	99	24	2	6	31	68	3	4	0	260	320	381	701	121	312	16	7	311	97	-2	+1	+5	+8	+9	2.1
2018	27	MLB MLE	Cincinnati Reds	—	522	462	113	21	3	9	52	96	2	0	4	245	324	361	685	117	291	18	10	307	94	-4	-2	-5	+9	+11	1.0
2019	28	MLB MLE	Cincinnati Reds	—	364	323	72	14	0	10	37	83	2	1	0	223	307	359	666	136	278	23	10	300	89	-5	+0	+11	+7	+8	2.2
2020	29	MLB MLE	Cincinnati Reds	—	110	98	20	3	0	5	12	28	0	0	0	204	291	388	679	184	231	25	11	295	86	-2	+0	+8	+2	+2	1.0
2021	30	MLB MLE	Cincinnati Reds	—	388	349	85	21	0	6	28	100	8	0	0	244	314	355	670	112	324	26	7	304	92	-4	+0	+13	+7	+8	2.5
2022	31	MLB MLE	Detroit Tigers	—	308	281	63	10	0	1	25	74	1	0	0	224	290	270	560	46	296	24	8	260	62	-14	+0	+7	+6	+7	0.5
2023	32	MLB MLE	Chicago Cubs	—	123	109	22	3	0	1	12	42	1	1	0	202	287	257	544	55	313	34	10	254	58	-6	+0	+6	+3	+3	0.5
2023	32	AAA MLE	Oklahoma City Dodgers	—	27	24	5	1	0	0	3	12	0	0	0	208	296	250	546	42	356	44	11	232	43	—	—	—	—	—	—
2024	33	MLB MLE	Arizona Diamondbacks	—	96	81	14	3	0	0	13	31	0	1	0	173	287	210	497	37	280	32	14	233	44	-6	+0	-2	+3	+2	-0.3
2024	33	AAA MLE	Louisville Bats	—	82	77	12	4	0	0	4	13	0	0	0	156	198	208	405	52	178	16	5	174	4	—	—	—	—	—	—
2025	34	MLB MLE	Texas Rangers	—	15	13	3	0	0	0	1	4	1	0	0	231	333	231	564		333	27	7	274	72	-1	+0	-0	+3	+0	0.2
2025	34	AAA MLE	Round Rock Express	—	125	108	20	6	0	2	12	26	3	0	1	185	285	296	581	111	212	21	10	246	53	—	—	—	—	—	—
2009	18	ROK MLE	GCL Reds	—	55	51	9	2	0	0	3	13	0	0	0	176	222	216	438	39	231	24	5	194	17	—	—	—	—	—	—
2009	18	ROK RAW	GCL Reds	—	55	48	10	2	0	0	6	9	0	0	0	208	296	250	546	42	250	16	11	254	17	—	—	—	—	—	—
2010	19	ROK MLE	Billings Mustangs	—	131	118	28	7	0	0	11	36	2	4	1	237	313	297	610	59	341	27	8	268	68	—	—	—	—	—	—
2010	19	ROK RAW	Billings Mustangs	—	131	111	34	9	0	0	18	25	2	4	1	306	412	387	800	81	395	19	14	368	68	—	—	—	—	—	—
2011	20	A MLE	Dayton Dragons	—	372	337	84	21	2	2	26	80	1	2	1	249	305	341	646	92	315	22	7	280	76	—	—	—	—	—	—
2011	20	A RAW	Dayton Dragons	—	372	326	89	24	2	3	37	59	1	2	1	273	349	387	735	113	320	16	10	326	76	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	373	339	75	14	2	4	29	86	1	1	3	221	285	310	594	88	284	23	8	262	64	—	—	—	—	—	—
2012	21	A+ RAW	2 teams	—	373	328	81	16	2	6	40	67	1	1	3	247	331	363	693	116	293	18	11	312	64	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	454	406	99	21	1	3	36	76	3	1	0	244	310	323	633	79	289	17	8	282	77	—	—	—	—	—	—
2013	22	AA RAW	2 teams	—	454	388	100	22	1	3	54	64	3	1	0	258	353	343	696	85	298	14	12	315	77	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	352	320	71	7	3	2	22	54	1	0	1	222	274	281	555	59	258	15	6	246	53	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	352	310	73	9	3	2	32	44	1	0	1	235	309	303	612	68	266	12	9	276	53	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	292	263	66	12	0	3	21	50	2	0	1	251	311	331	642	80	294	17	7	283	78	-8	-0	+8	+5	+6	1.1
2015	24	MLB RAW	2 teams	—	292	258	66	12	0	3	26	49	2	0	1	256	329	337	666	81	300	17	9	299	78	-8	-0	+8	+5	+6	1.1
2016	25	MLB MLE	Cincinnati Reds	—	420	385	96	23	1	6	28	72	2	1	0	249	304	361	665	112	290	17	7	298	88	-6	+0	+5	+8	+9	1.6
2016	25	MLB RAW	Cincinnati Reds	—	420	377	97	23	1	7	36	72	2	1	0	257	325	379	705	122	299	17	9	314	88	-6	+0	+5	+8	+9	1.6
2017	26	MLB MLE	Cincinnati Reds	—	423	381	99	24	2	6	31	68	3	4	0	260	320	381	701	121	300	16	7	311	97	-2	+1	+5	+8	+9	2.1
2017	26	MLB RAW	Cincinnati Reds	—	423	370	100	24	2	7	42	68	3	4	0	270	349	403	752	132	312	16	10	333	97	-2	+1	+5	+8	+9	2.1
2018	27	MLB MLE	Cincinnati Reds	—	522	462	113	21	3	9	52	96	2	0	4	245	324	361	685	117	289	18	10	307	94	-4	-2	-5	+9	+11	1.0
2018	27	MLB RAW	Cincinnati Reds	—	522	460	114	21	3	10	54	96	2	0	4	248	329	372	701	124	291	18	10	314	94	-4	-2	-5	+9	+11	1.0
2019	28	MLB MLE	Cincinnati Reds	—	364	323	72	14	0	10	37	83	2	1	0	223	307	359	666	136	268	23	10	300	89	-5	+0	+11	+7	+8	2.2
2019	28	MLB RAW	Cincinnati Reds	—	364	316	73	14	0	11	44	83	2	1	0	231	329	380	708	149	278	23	12	320	89	-5	+0	+11	+7	+8	2.2
2020	29	MLB MLE	Cincinnati Reds	—	110	98	20	3	0	5	12	28	0	0	0	204	291	388	679	184	231	25	11	295	86	-2	+0	+8	+2	+2	1.0
2020	29	MLB RAW	Cincinnati Reds	—	110	98	20	3	0	5	12	28	0	0	0	204	291	388	679	184	231	25	11	304	86	-2	+0	+8	+2	+2	1.0
2021	30	MLB MLE	Cincinnati Reds	—	388	349	85	21	0	6	28	100	8	0	0	244	314	355	670	112	321	26	7	304	92	-4	+0	+13	+7	+8	2.5
2021	30	MLB RAW	Cincinnati Reds	—	388	348	86	21	0	7	29	100	8	0	0	247	319	368	687	121	324	26	7	310	92	-4	+0	+13	+7	+8	2.5
2022	31	MLB MLE	Detroit Tigers	—	308	281	63	10	0	1	25	74	1	0	0	224	290	270	560	46	301	24	8	260	62	-14	+0	+7	+6	+7	0.5
2022	31	MLB RAW	Detroit Tigers	—	308	281	62	10	0	1	25	74	1	0	0	221	287	267	554	46	296	24	8	257	62	-14	+0	+7	+6	+7	0.5
2023	32	MLB MLE	2 teams	—	150	133	27	4	0	1	15	54	1	1	0	203	289	256	544	53	329	36	10	250	55	-8	+0	+6	+3	+3	0.4
2023	32	MLB RAW	2 teams	—	150	131	27	4	0	1	17	52	1	1	0	206	302	260	562	53	329	35	11	265	55	-8	+0	+6	+3	+3	0.4
2024	33	MLB MLE	2 teams	—	178	158	26	7	0	0	17	44	0	1	0	165	246	209	455	44	228	25	10	206	26	-16	+0	-2	+3	+4	-1.0
2024	33	MLB RAW	2 teams	—	178	156	28	8	0	0	19	42	0	1	0	179	269	231	499	51	246	24	11	234	26	-16	+0	-2	+3	+4	-1.0
2025	34	AAA MLE	2 teams	—	140	122	23	6	0	2	12	30	4	0	1	189	283	287	569	98	231	21	9	249	55	—	—	—	—	—	—
2025	34	AAA RAW	2 teams	—	140	116	25	6	0	2	18	28	4	0	1	216	341	319	660	103	264	20	13	305	55	—	—	—	—	—	—
2009	18	ROK MLE	GCL Reds	—	55	52	9	2	0	0	3	13	0	0	0	173	222	212	434	38	215	24	5	194	17	—	—	—	—	—	—
2010	19	ROK MLE	Billings Mustangs	—	131	117	28	7	0	0	11	36	2	4	1	239	313	299	612	60	332	27	8	268	68	—	—	—	—	—	—
2011	20	A MLE	Dayton Dragons	—	372	342	84	21	2	2	26	80	1	2	1	246	305	336	641	91	304	22	7	280	76	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	373	340	75	14	2	4	29	86	1	1	3	221	285	309	593	88	282	23	8	262	64	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	454	412	99	21	1	3	36	76	3	1	0	240	310	318	628	78	283	17	8	282	77	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	352	326	71	7	3	2	22	54	1	0	1	218	274	276	550	58	253	15	6	246	53	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	292	267	66	12	0	3	21	50	2	0	1	247	311	326	637	79	298	17	7	283	78	—	—	—	—	—	—
2016	25	MLB MLE	Cincinnati Reds	—	420	387	96	23	1	6	28	72	2	1	0	248	304	359	663	111	299	17	7	298	88	—	—	—	—	—	—
2017	26	MLB MLE	Cincinnati Reds	—	423	386	99	24	2	6	31	68	3	4	0	256	320	376	696	119	312	16	7	311	97	—	—	—	—	—	—
2018	27	MLB MLE	Cincinnati Reds	—	522	463	113	21	3	9	52	96	2	0	4	244	324	361	684	117	291	18	10	307	94	—	—	—	—	—	—
2019	28	MLB MLE	Cincinnati Reds	—	364	322	72	14	0	10	37	83	2	1	0	224	307	360	667	137	278	23	10	300	89	—	—	—	—	—	—
2020	29	MLB MLE	Cincinnati Reds	—	110	97	20	3	0	5	12	28	0	0	0	206	291	392	683	186	231	25	11	295	86	—	—	—	—	—	—
2021	30	MLB MLE	Cincinnati Reds	—	388	349	85	21	0	6	28	100	8	0	0	244	314	355	670	112	324	26	7	304	92	—	—	—	—	—	—
2022	31	MLB MLE	Detroit Tigers	—	308	279	63	10	0	1	25	74	1	0	0	226	290	272	562	47	296	24	8	260	62	—	—	—	—	—	—
2023	32	MLB MLE	2 teams	—	150	133	27	4	0	1	15	54	1	1	0	203	289	256	544	53	321	36	10	250	55	—	—	—	—	—	—
2024	33	MLB MLE	2 teams	—	178	159	26	7	0	0	17	44	0	1	0	164	246	208	453	44	233	25	10	206	26	—	—	—	—	—	—
2025	34	AAA MLE	2 teams	—	140	123	23	6	0	2	12	30	4	0	1	187	283	285	567	98	225	21	9	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	2 teams	—	178	159	26	7	0	0	17	44	0	1	0	164	246	208	453	44	233	25	10	206	26	—	—	—	—	—	—
2025	34	AAA MLE	2 teams	—	140	123	23	6	0	2	12	30	4	0	1	187	283	285	567	98	225	21	9	249	55	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	TEX	10%	174	154	34	8	1	2	16	38	2	2	1	213	299	307	606	94	270	22	9	278	74	-5	+0	-1	+3	+4	0.0
▸ 2027 — real world (MLB)
2027	36	MLB CTX	TEX	10%	11	10	1	0	0	0	1	2	0	0	0	213	298	307	606	95	268	18	9	278	74	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	TEX	100%	80	72	14	3	0	1	7	18	1	0	0	201	285	281	566	80	259	22	9	262	63	-3	+0	-7	+1	+2	-0.8
2028	37	MLB CTX	TEX	100%	80	72	14	3	0	1	7	18	1	0	0	201	285	281	565	80	257	22	9	262	63	-3	+0	-7	+1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3183	2821	676	134	6	54	304	671	23	8	5	240	319	349	667	109	294	21	10	301	76	-37	-0	+50	+67	+69	15.1
/ 162G	—	A+C		—	650	576	137	27	1	11	62	137	5	2	1	238	317	345	663	108	292	21	10	301	76	-8	-0	+10	+14	+14	3.1
Career	—	MLE		—	5220	4694	1090	225	14	62	422	1086	35	17	12	232	300	326	626	94	287	21	8	280	76	-40	-0	+50	+68	+71	15.2
/ 162G	—	MLE		—	650	585	136	28	2	8	53	135	4	2	1	232	301	328	629	96	287	21	8	280	76	-8	-0	+10	+14	+14	3.0

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 AAARound Rock Express · 125 PAwOBA .304 → .246 (−58)K% 19.2% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.20%	÷1.086	×1.200	—	—	21.22%
BB% (unintentional) /PA	13.60%	÷0.962	×0.690	—	×0.940	9.17%
HBP% /PA	2.40%	—	×0.940	—	×0.940	2.12%
Singles /BIP	17.72%	÷1.053	×0.930	×0.980	×0.940	14.43%
Doubles /BIP	7.59%	÷0.881	×0.830	×0.980	×0.940	6.59%
Triples /BIP	0.00%	÷0.921	×0.970	×0.980	×0.940	0.00%
Home runs /BIP	2.53%	÷0.913	×0.700	—	×0.940	1.82%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 111, 2B 76, 3B 84, K 117, BB 92 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .304 → .246; ISO .117 → .099; BABIP .256 → .212. 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).

2024 AAALouisville Bats · 82 PAwOBA .223 → .174 (−49)K% 13.4% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.41%	÷0.999	×1.200	—	—	16.12%
BB% (unintentional) /PA	7.32%	÷1.032	×0.690	—	×0.942	4.61%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	14.06%	÷0.995	×0.930	×0.952	×0.942	11.79%
Doubles /BIP	7.81%	÷0.964	×0.830	×0.952	×0.942	6.03%
Triples /BIP	0.00%	÷1.150	×0.970	×0.952	×0.942	0.00%
Home runs /BIP	0.00%	÷1.111	×0.700	—	×0.942	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .223 → .174; ISO .067 → .052; BABIP .219 → .178. 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 AAAOklahoma City Dodgers · 27 PAwOBA .289 → .232 (−58)K% 37.0% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.04%	÷1.003	×1.200	—	—	44.31%
BB% (unintentional) /PA	14.81%	÷0.976	×0.690	—	×0.952	9.97%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	33.33%	÷1.021	×0.930	—	×0.952	28.91%
Doubles /BIP	8.33%	÷0.983	×0.830	—	×0.952	6.70%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.006	×0.700	—	×0.952	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 104, 2B 97, 3B 130, K 101, BB 95 — 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 .289 → .232; ISO .045 → .038; BABIP .417 → .356. 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 AAALouisville Bats · 18 PAwOBA .364 → .337 (−27)K% 22.2% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.991	×1.200	—	—	26.91%
BB% (unintentional) /PA	5.56%	÷1.023	×0.690	—	×1.048	3.93%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	16.67%	÷0.999	×0.930	—	×1.048	16.26%
Doubles /BIP	25.00%	÷0.975	×0.830	—	×1.048	22.30%
Triples /BIP	0.00%	÷0.922	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.009	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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).

Result: wOBA .364 → .337; ISO .188 → .173; BABIP .385 → .357. 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 AAALouisville Bats · 292 PAwOBA .282 → .255 (−27)K% 11.6% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.64%	÷0.926	×1.200	—	—	15.09%
BB% (unintentional) /PA	9.25%	÷1.008	×0.690	—	×1.050	6.64%
HBP% /PA	0.34%	—	×0.940	—	×1.050	0.34%
Singles /BIP	22.52%	÷0.999	×0.930	×0.999	×1.050	22.00%
Doubles /BIP	4.05%	÷1.108	×0.830	×0.999	×1.050	3.18%
Triples /BIP	1.35%	÷1.150	×0.970	×0.999	×1.050	1.20%
Home runs /BIP	0.45%	÷0.928	×0.840	—	×1.050	0.43%

Factors used: league row IL. Park (home-season share, regressed): HR 86, 1B 100, 2B 122, 3B 130, K 85, BB 102 — 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 ×0.999.

Result: wOBA .282 → .255; ISO .070 → .061; BABIP .277 → .262. 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 AAPensacola Blue Wahoos · 395 PAwOBA .309 → .282 (−27)K% 14.4% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.43%	÷1.050	×1.220	—	—	16.76%
BB% (unintentional) /PA	10.89%	÷0.966	×0.680	—	×1.042	7.98%
HBP% /PA	0.76%	—	×0.840	—	×1.042	0.66%
Singles /BIP	23.05%	÷1.018	×0.920	×1.006	×1.042	21.83%
Doubles /BIP	6.74%	÷1.019	×0.910	×1.006	×1.042	6.31%
Triples /BIP	0.35%	÷1.109	×0.880	×1.006	×1.042	0.29%
Home runs /BIP	1.06%	÷1.048	×0.800	—	×1.042	0.85%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 104, 2B 104, 3B 122, K 110, BB 93 — 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 ×1.006.

Result: wOBA .309 → .282; ISO .088 → .082; BABIP .300 → .283. 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+Bakersfield Blaze · 231 PAwOBA .342 → .285 (−57)K% 19.5% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.48%	÷0.999	×1.340	—	—	26.14%
BB% (unintentional) /PA	12.55%	÷0.977	×0.710	—	×1.027	9.37%
HBP% /PA	0.43%	—	×0.790	—	×1.027	0.35%
Singles /BIP	24.84%	÷0.976	×0.910	×0.979	×1.027	23.30%
Doubles /BIP	7.84%	÷0.970	×0.820	×0.979	×1.027	6.67%
Triples /BIP	0.65%	÷0.900	×0.760	×0.979	×1.027	0.55%
Home runs /BIP	2.61%	÷1.216	×0.920	—	×1.027	2.03%

Factors used: league row CAL. Park (home-season share, regressed): HR 143, 1B 95, 2B 94, 3B 80, K 100, BB 95 — 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 ×0.979.

Result: wOBA .342 → .285; ISO .131 → .104; BABIP .340 → .309. 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 AAPensacola Blue Wahoos · 142 PAwOBA .246 → .225 (−20)K% 15.5% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.49%	÷1.029	×1.220	—	—	18.37%
BB% (unintentional) /PA	7.75%	÷1.016	×0.680	—	×1.050	5.44%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	17.59%	÷0.960	×0.920	×1.050	×1.050	18.59%
Doubles /BIP	3.70%	÷0.940	×0.910	×1.050	×1.050	3.95%
Triples /BIP	0.93%	÷1.026	×0.880	×1.050	×1.050	0.88%
Home runs /BIP	1.85%	÷1.569	×0.800	—	×1.050	0.99%

Factors used: league row SL. Park (home-season share, regressed): HR 214, 1B 92, 2B 88, 3B 105, K 106, BB 103 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .246 → .225; ISO .092 → .072; BABIP .226 → .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
#1Yorvit Torrealbalast yr '13 career totals — 12 seasons, 3,179 PA	4.8	3,179	56	19	256	314	379	+53	+79	20.2	18.4
/162	664	12	4	+11.1	+16.6	4.2	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	4.8	3,179	54	8	240	315	350	+54	+57	10.6	10.9
/162	664	11	2	+11.3	+11.9	2.2	pk7: 11
#2Josh Bardlast yr '11 career totals — 9 seasons, 1,958 PA	2.9	1,958	38	1	252	318	381	+33	+24	10.4	10.4
/162	664	13	0	+11.1	+8.0	3.5	pk7: 11
#3Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#4Andy Etchebarren'62-'78 * career totals — 12 seasons, 2,934 PA	4.4	2,934	49	13	242*	313*	383*	+52	+0	11.3	10.2
/162	664	11	3	+11.9	+0.0	2.6	pk7: 9
#5Chad Kreuter'88-'03 * career totals — 13 seasons, 2,932 PA	4.4	2,932	54	5	228*	323*	354*	+50	+0	9.3	9.5
/162	664	12	1	+11.4	+0.1	2.1	pk7: 10
#6Jeff Reed'84-'00 * career totals — 14 seasons, 3,566 PA	5.4	3,566	61	7	243*	326*	368*	+64	-0	9.8	9.4
/162	664	11	1	+11.8	-0.0	1.8	pk7: 9

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
Tucker Barnhart (OGILVIE)	36	—	37	24	59	211/296/305	93	270	1	1	22%	9%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2012 · MLB	36	44	41→40	39→40	56	214/313/306	93	254	10	6	19%	11%	81	-0.1	219/309/339	120	270	12	8	22%	10%	86	+0.3	170/266/275	105	214	9	5	24%	10%	59	-0.3
✕Jamie Burke 2008 · MLB	36	49→45	43→45	40→30	46	237/286/347	110	262	10	3	15%	5%	79	-0.2	225/275/317	92	264	8	5	17%	5%	68	-1.0	203/251/265	62	245	4	1	18%	5%	46	-0.6
✕Paul Bako 2008 · MLB	36	46	38→45	42→40	46	217/283/287	70	297	6	4	28%	8%	64	-1.3	226/291/333	107	297	11	4	26%	8%	78	-0.3	222/287/322	100	290	11	0	26%	8%	73	-0.3
✕Brent Mayne 2004 · MLB	36	50	40	38→40	51	242/301/334	92	271	8	4	14%	7%	81	-0.1	228/292/321	93	270	8	6	18%	8%	75	-0.5	205/272/244	39	256	0	3	18%	8%	50	-0.9
✕Jesus Rivera 2014 · AAA	36	50→52	39→40	42→40	46	237/279/317	80	272	7	5	16%	5%	68	-1.0	225/275/295	70	273	5	4	18%	6%	62	-1.4	259/304/311	52	303	1	4	14%	5%	76	-0.2
✕Jesus Alfredo Arredondo 2008 · AAA	36	56→58	36→30	37→40	52	264/328/326	62	298	4	4	13%	7%	89	+0.5	243/312/316	73	276	5	6	13%	7%	82	-0.0	251/312/301	50	283	2	4	11%	7%	74	-0.2
✕Gary Bennett 2007 · MLB	35	46	42→40	43→40	50	223/281/323	100	253	10	4	17%	7%	72	-0.7	234/286/354	120	252	13	7	13%	6%	80	-0.1	241/277/321	80	257	7	4	9%	4%	69	-0.3
✕Chad Moeller 2010 · MLB	35	43	41→50	43→30	43	211/261/315	104	258	8	4	22%	5%	62	-1.4	218/275/334	116	267	10	7	21%	6%	72	-0.7	191/246/285	94	237	4	0	20%	4%	47	-0.5
✕Alberto Castillo 2007 · MLB	37	48	37→30	41→30	52	225/293/304	79	273	4	5	18%	9%	71	-0.8	230/291/326	96	279	8	5	19%	8%	76	-0.4	223/290/293	70	267	8	0	18%	9%	66	-0.5
✕Erick Rodriguez 2016 · AAA	36	48	37→40	37→40	44	226/252/290	64	246	5	4	11%	3%	51	-2.2	225/253/286	61	255	4	4	13%	4%	51	-2.3	240/267/309	69	268	6	1	13%	3%	58	-0.8
✕Hector Hernandez 2019 · AAA	36	50→53	37→40	45→50	46	234/275/303	69	264	5	7	14%	5%	63	-1.3	250/296/349	99	296	9	8	18%	5%	82	+0.0	282/318/355	74	330	5	2	16%	4%	93	+0.3
✕Hector Castaneda 2008 · AAA	36	53	37→30	44→45	53	246/325/320	75	302	4	6	19%	9%	88	+0.4	245/327/312	67	298	5	6	18%	10%	86	+0.3	245/333/293	47	298	3	4	17%	10%	82	-0.0
✕Mike Matheny 2005 · MLB	34	49→52	41→45	37→30	45	238/281/339	101	277	9	2	18%	5%	74	-0.5	235/277/370	135	271	14	3	19%	5%	81	-0.1	229/269/373	143	261	14	0	18%	4%	79	-0.1
✕Doug Bernier 2016 · MLB	36	48→52	38→40	43→45	45	226/280/302	75	281	5	6	21%	6%	65	-1.2	216/269/304	88	281	9	7	25%	6%	63	-1.4	208/260/290	83	273	9	5	26%	6%	53	-1.3
✕Iker Franco 2017 · AAA	36	51→47	41→50	43→40	47	245/299/336	91	296	9	4	20%	7%	80	-0.1	221/273/327	106	279	12	7	24%	6%	70	-0.9	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Lou Merloni 2007 · MLB	36	48→44	42→45	40	46	234/291/341	107	271	9	4	17%	6%	79	-0.2	215/270/303	88	250	7	5	16%	6%	63	-1.4	201/254/264	63	234	3	1	15%	6%	45	-2.0
✕Luis Figueroa 2010 · AAA	36	51→55	37→40	40→45	47	239/274/313	74	257	4	5	10%	4%	65	-1.2	242/275/318	76	260	4	4	8%	4%	67	-1.1	248/280/315	67	266	2	2	8%	4%	65	-0.9
✕Arnoldo Castro 2006 · AAA	37	48	39→30	37→40	46	231/273/310	78	266	7	4	16%	5%	65	-1.2	228/271/298	70	254	5	7	12%	5%	61	-1.5	228/264/248	20	241	0	2	5%	4%	43	-1.1
✕Denny Hocking 2005 · MLB	35	47→57	40	38→45	50	227/286/320	93	267	7	4	18%	8%	72	-0.7	235/295/318	83	293	5	6	20%	8%	75	-0.5	242/300/293	51	310	0	2	20%	8%	70	-0.5
✕Wil Nieves 2014 · MLB	36	52→56	40	42→40	42	251/281/337	86	296	8	4	18%	4%	74	-0.6	239/281/335	96	301	8	6	22%	5%	74	-0.6	240/265/325	85	312	4	4	24%	1%	65	-0.3

Tucker Barnhart

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps