Brice Turang

2B Milwaukee Brewers

Age 27 L/R 6'0" / 190 lbs MLB HR +10%K +6% Svc 3.959 · Ctrl thru 2029

Overview

MLB40-MANArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	24	MLBMIL	619	.254/.318/.349	7	50	90	2.1
2025	25	MLBMIL	659	.288/.362/.435	18	24	126	3.8
2026	26	MLBMIL	680	.268/.367/.450	21	19	130	4.5
2027PROJ	27	MLBMIL	614	.259/.344/.414	17	30	116	3.1
2028PROJ	28	MLBMIL	614	.257/.342/.409	17	27	114	2.9
2029PROJ	29	MLBMIL	614	.253/.338/.401	16	23	111	2.5

Last 3 seasons WAR 10.4 · Next 3 projected WAR 8.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.959First FA2030

2027Arb-1$6M2028Arb-2$11M2029Arb-3$15M

Skills · percentileStatcast 2024-2026

Speed79

xwOBA67

Avg EV56

Bat Spd48

Barrel%34

Form.256/.356/.435 ▲ rolling true talent (60d window) · proj .262/.344/.416

CompsJake McCarthy (age 26) · Jason Kipnis (age 27) · Cedric Mullins (age 27)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 100116vR 122

AVG/OBP/SLG.259 / .344 / .414

PA614

HR17

SB30

K%23

BB%11

BABIP317

ISO154

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$37M ctrl surplus

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

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

600.259

POWER40

Barrel%

346.1

Avg EV

5689.5

Bat Spd

4871.1

EYE55

scouting grade only

SPEED60

Sprint

7928.6

Recent Formrolling true talent ⓘ

K%26%▼▼28% over 115 PA (60d) · proj 23%

BB%13%▲▲16% over 115 PA (60d) · proj 11%

ISO.179▲.221 over 95 AB (60d) · proj .154

HR/BB4.9%▲6.3% over 63 BBE (60d) · proj 4.1%

BABIP.331▲.458 over 59 BIP (60d) · proj .322

SLASH.256/.356/.435▲proj .262/.344/.416

Platoon Splits2024-2026 · 1385 PA

vs LHP

vs RHP

Edge

351

1034

—

wRC+

115

▶▶R

wOBA

304

339

▶R

ISO

072

150

▶▶R

BABIP

343

324

◀L

21.4%

19.7%

▶R

BB%

8.0%

10.2%

▶▶R

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

Status Arb-1

MLB Debut 2023

Service 3.959 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$6M	+3.2	$30M	+$24M
2028	Arb-2	$11M	+2.9	$24M	+$14M
2029	Arb-3	$15M	+2.5	$17M	+$5M
Totals		$32M		$71M	+$43M

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)
2018	18	ROK	Helena Brewers	—	192	159	45	6	1	1	31	34	0	14	2	283	400	352	752	69	349	18	16	346	59	—	—	—	—	—	—
2019	19	A+	Carolina Mudcats	—	207	170	34	6	2	1	34	47	2	9	1	200	340	276	616	76	268	23	16	294	32	—	—	—	—	—	—
2019	19	A	Wisconsin Timber Rattlers	—	357	303	87	13	4	2	49	54	1	21	4	287	388	376	764	89	339	15	14	347	78	—	—	—	—	—	—
2021	21	AAA	Nashville Sounds	—	176	143	35	7	0	1	32	35	0	9	2	245	383	315	698	70	315	20	18	329	87	—	—	—	—	—	—
2021	21	AA	Biloxi Shuckers	—	320	288	76	14	3	5	28	48	1	11	7	264	331	385	717	122	300	15	9	320	72	—	—	—	—	—	—
2022	22	AAA	Nashville Sounds	—	603	532	152	24	2	13	65	118	0	34	2	286	363	412	775	126	342	20	11	346	91	—	—	—	—	—	—
2023	23	MLB	Milwaukee Brewers	—	448	404	88	9	3	6	38	94	1	26	4	218	287	300	586	82	268	21	8	267	67	-18	+4	+1	+2	+10	-0.2
2023	23	AAA	Nashville Sounds	—	63	57	17	6	0	3	6	10	0	2	0	298	365	561	926	263	318	16	10	403	113	—	—	—	—	—	—
2024	24	MLB	Milwaukee Brewers	—	619	559	142	24	4	7	50	105	2	50	6	254	318	349	666	95	300	17	8	299	90	-7	+8	+5	+2	+13	2.1
2025	25	MLB	Milwaukee Brewers	—	659	584	168	28	2	18	66	150	2	24	8	288	362	435	797	147	356	23	10	353	126	+20	+2	-1	+2	+14	3.8
2026	26	MLB	Milwaukee Brewers	—	680	582	156	37	3	21	90	171	1	19	5	268	367	450	817	182	344	25	13	361	130	+24	+2	+0	+2	+15	4.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2406	2129	554	98	12	52	244	520	6	119	23	260	338	391	729	131	320	22	10	325	106	+18	+15	+6	+9	+52	10.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	18	ROK MLE	Helena Brewers	—	192	171	37	4	1	1	19	49	0	14	2	216	295	269	564	53	289	26	10	256	59	—	—	—	—	—	—
2019	19	A+ MLE	Carolina Mudcats	—	207	182	28	4	1	1	22	69	2	9	1	154	252	203	456	49	239	33	11	216	32	—	—	—	—	—	—
2019	19	A MLE	Wisconsin Timber Rattlers	—	357	317	77	9	3	2	35	74	1	21	4	243	320	309	629	66	302	21	10	284	78	—	—	—	—	—	—
2021	21	AAA MLE	Nashville Sounds	—	176	151	36	6	0	1	24	41	0	9	2	238	343	298	641	60	319	23	14	297	87	—	—	—	—	—	—
2021	21	AA MLE	Biloxi Shuckers	—	320	297	70	11	3	4	19	60	1	11	7	236	284	333	617	98	279	19	6	274	72	—	—	—	—	—	—
2022	22	AAA MLE	Nashville Sounds	—	603	549	145	22	2	10	48	146	0	34	2	264	323	366	689	102	332	24	8	302	91	—	—	—	—	—	—
2023	23	MLB MLE	Milwaukee Brewers	—	448	405	89	10	3	6	37	94	1	26	4	220	287	304	590	84	268	21	8	267	67	-18	+4	+1	+2	+10	-0.2
2023	23	AAA MLE	Nashville Sounds	—	63	59	15	5	0	2	4	12	0	2	0	254	302	441	742	186	295	19	6	335	113	—	—	—	—	—	—
2024	24	MLB MLE	Milwaukee Brewers	—	619	560	145	26	4	7	49	105	2	50	6	259	321	357	678	98	300	17	8	301	90	-7	+8	+5	+2	+13	2.1
2025	25	MLB MLE	Milwaukee Brewers	—	659	585	170	30	2	17	65	150	2	24	8	291	363	436	799	145	356	23	10	354	126	+20	+2	-1	+2	+14	3.8
2026	26	MLB MLE	Milwaukee Brewers	—	680	585	158	40	3	20	87	171	1	19	5	270	366	451	817	181	344	25	13	361	130	+24	+2	+0	+2	+15	4.5
2018	18	ROK MLE	Helena Brewers	—	192	171	37	4	1	1	19	49	0	14	2	216	295	269	564	53	293	26	10	256	59	—	—	—	—	—	—
2018	18	ROK RAW	Helena Brewers	—	192	159	45	6	1	1	31	34	0	14	2	283	400	352	752	69	349	18	16	346	59	—	—	—	—	—	—
2019	19	A MLE	2 teams	—	564	499	104	13	4	2	57	143	3	30	5	208	293	263	556	54	284	25	10	259	61	—	—	—	—	—	—
2019	19	A RAW	2 teams	—	564	473	121	19	6	3	83	101	3	30	5	256	370	340	711	85	316	18	15	327	61	—	—	—	—	—	—
2021	21	AA MLE	2 teams	—	496	448	107	17	3	5	43	101	1	20	9	239	307	324	631	85	296	20	9	282	77	—	—	—	—	—	—
2021	21	AA RAW	2 teams	—	496	431	111	21	3	6	60	83	1	20	9	258	350	362	712	104	304	17	12	323	77	—	—	—	—	—	—
2022	22	AAA MLE	Nashville Sounds	—	603	549	145	22	2	10	48	146	0	34	2	264	323	366	689	102	338	24	8	302	91	—	—	—	—	—	—
2022	22	AAA RAW	Nashville Sounds	—	603	532	152	24	2	13	65	118	0	34	2	286	363	412	775	126	342	20	11	346	91	—	—	—	—	—	—
2023	23	MLB MLE	2 teams	—	511	464	104	15	3	8	41	106	1	28	4	224	289	321	610	97	273	21	8	275	72	-17	+4	+1	+2	+11	0.1
2023	23	MLB RAW	2 teams	—	511	461	105	15	3	9	44	104	1	28	4	228	296	332	628	104	274	20	9	283	72	-17	+4	+1	+2	+11	0.1
2024	24	MLB MLE	Milwaukee Brewers	—	619	560	145	26	4	7	49	105	2	50	6	259	321	357	678	98	306	17	8	301	90	-7	+8	+5	+2	+13	2.1
2024	24	MLB RAW	Milwaukee Brewers	—	619	559	142	24	4	7	50	105	2	50	6	254	318	349	666	95	300	17	8	299	90	-7	+8	+5	+2	+13	2.1
2025	25	MLB MLE	Milwaukee Brewers	—	659	585	170	30	2	17	65	150	2	24	8	291	363	436	799	145	362	23	10	354	126	+20	+2	-1	+2	+14	3.8
2025	25	MLB RAW	Milwaukee Brewers	—	659	584	168	28	2	18	66	150	2	24	8	288	362	435	797	147	356	23	10	353	126	+20	+2	-1	+2	+14	3.8
2026	26	MLB MLE	Milwaukee Brewers	—	680	585	158	40	3	20	87	171	1	19	5	270	366	451	817	181	348	25	13	361	130	+24	+2	+0	+2	+15	4.5
2026	26	MLB RAW	Milwaukee Brewers	—	680	582	156	37	3	21	90	171	1	19	5	268	367	450	817	182	344	25	13	361	130	+24	+2	+0	+2	+15	4.5
2018	18	ROK MLE	Helena Brewers	—	192	171	37	4	1	1	19	49	0	14	2	216	295	269	564	53	289	26	10	256	59	—	—	—	—	—	—
2019	19	A MLE	2 teams	—	564	499	104	13	4	2	57	143	3	30	5	208	293	263	556	54	279	25	10	259	61	—	—	—	—	—	—
2021	21	AA MLE	2 teams	—	496	449	107	17	3	5	43	101	1	20	9	238	307	323	630	85	293	20	9	282	77	—	—	—	—	—	—
2022	22	AAA MLE	Nashville Sounds	—	603	550	145	22	2	10	48	146	0	34	2	264	323	365	689	102	332	24	8	302	91	—	—	—	—	—	—
2023	23	MLB MLE	2 teams	—	511	464	104	15	3	8	41	106	1	28	4	224	289	321	610	97	271	21	8	275	72	—	—	—	—	—	—
2024	24	MLB MLE	Milwaukee Brewers	—	619	563	145	26	4	7	49	105	2	50	6	258	321	355	676	98	300	17	8	301	90	—	—	—	—	—	—
2025	25	MLB MLE	Milwaukee Brewers	—	659	587	170	30	2	17	65	150	2	24	8	290	363	434	798	145	356	23	10	354	126	—	—	—	—	—	—
2026	26	MLB MLE	Milwaukee Brewers	—	680	587	158	40	3	20	87	171	1	19	5	269	366	450	815	181	344	25	13	361	130	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	24	MLB MLE	Milwaukee Brewers	—	619	563	145	26	4	7	49	105	2	50	6	258	321	355	676	98	300	17	8	301	90	—	—	—	—	—	—
2025	25	MLB MLE	Milwaukee Brewers	—	659	587	170	30	2	17	65	150	2	24	8	290	363	434	798	145	356	23	10	354	126	—	—	—	—	—	—
2026	26	MLB MLE	Milwaukee Brewers	—	680	587	158	40	3	20	87	171	1	19	5	269	366	450	815	181	344	25	13	361	130	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	27	MLB MLE	MIL	100%	636	559	146	29	3	17	70	145	2	31	6	262	346	416	762	154	322	23	11	340	116	+12	+4	-0	+2	+14	3.2
▸ 2027 — real world (MLB)
2027	27	MLB CTX	MIL	100%	614	539	140	26	3	17	68	140	2	30	6	259	344	414	758	155	317	23	11	338	116	+12	+4	-0	+2	+13	3.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	28	MLB MLE	MIL	100%	614	540	141	28	3	16	68	141	1	27	5	260	344	411	755	151	321	23	11	337	114	+10	+3	-1	+2	+13	2.9
2029	29	MLB MLE	MIL	100%	614	540	139	28	2	16	68	143	1	23	5	256	340	403	743	146	318	23	11	332	111	+8	+3	-2	+2	+13	2.5
2030	30	MLB MLE	MIL	100%	601	529	134	27	2	15	66	142	1	19	4	253	336	394	731	141	316	24	11	327	107	+5	+2	-2	+2	+13	2.1
2031	31	MLB MLE	MIL	100%	578	509	126	25	2	13	63	139	1	13	3	248	331	383	714	135	312	24	11	320	103	+2	+1	-3	+2	+13	1.5
2032	32	MLB MLE	MIL	100%	560	495	120	23	2	12	60	137	0	7	2	242	324	369	693	127	307	24	11	312	97	-2	+1	-4	+2	+12	0.9
2033	33	MLB MLE	MIL	100%	492	437	102	19	1	10	52	123	0	3	2	234	315	351	667	118	300	25	11	301	90	-6	-0	-4	+2	+11	0.2
2034	34	MLB MLE	MIL	100%	436	388	87	16	1	8	45	112	0	2	1	224	305	331	636	107	291	26	10	289	82	-10	+0	-5	+2	+9	-0.4
2028	28	MLB CTX	MIL	100%	614	540	139	26	3	17	68	141	1	27	5	257	342	409	751	152	316	23	11	335	114	+10	+3	-1	+2	+13	2.9
2029	29	MLB CTX	MIL	100%	614	540	136	26	2	16	68	143	1	23	5	253	338	401	739	147	313	23	11	330	111	+8	+3	-2	+2	+13	2.5
2030	30	MLB CTX	MIL	100%	601	529	132	25	2	15	66	142	1	19	4	250	334	392	726	142	310	24	11	325	107	+5	+2	-2	+2	+13	2.1
2031	31	MLB CTX	MIL	100%	578	509	125	23	2	14	63	139	1	13	3	245	329	381	710	136	307	24	11	319	103	+2	+1	-3	+2	+13	1.5
2032	32	MLB CTX	MIL	100%	560	495	119	22	2	13	60	137	0	7	2	239	322	367	688	128	302	24	11	310	97	-2	+1	-4	+2	+12	0.9
2033	33	MLB CTX	MIL	100%	492	437	100	18	1	10	52	123	0	3	2	231	313	349	662	118	295	25	11	299	90	-6	-0	-4	+2	+11	0.2
2034	34	MLB CTX	MIL	100%	436	384	86	15	1	8	45	112	4	2	1	224	312	332	644	108	291	26	10	294	82	-10	+0	-5	+2	+9	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6301	5563	1391	253	25	145	666	1457	14	213	45	250	332	383	714	133	312	23	11	321	99	+27	+25	-15	+23	+137	19.9
/ 162G	—	A+C		—	650	574	144	26	3	15	69	150	1	22	5	251	332	385	717	134	313	23	11	321	99	+3	+3	-2	+2	+14	2.1
Career	—	MLE		—	8833	7838	1960	361	38	176	899	2048	16	343	69	250	328	373	702	123	315	23	10	314	99	+38	+28	-15	+25	+150	23.1
/ 162G	—	MLE		—	650	577	145	27	3	13	66	151	1	25	5	251	329	376	705	125	317	23	10	314	99	+4	+3	-1	+2	+14	2.2

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 · 63 PAwOBA .391 → .335 (−56)K% 15.9% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.87%	÷0.978	×1.200	—	—	19.48%
BB% (unintentional) /PA	9.52%	÷0.995	×0.690	—	×1.048	6.92%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	17.02%	÷0.953	×0.930	×0.970	×1.048	16.88%
Doubles /BIP	12.77%	÷0.971	×0.830	×0.970	×1.048	11.09%
Triples /BIP	0.00%	÷0.900	×0.970	×0.970	×1.048	0.00%
Home runs /BIP	6.38%	÷0.905	×0.700	—	×1.048	5.17%

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 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 ×0.970.

Result: wOBA .391 → .335; ISO .263 → .216; BABIP .318 → .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).

2022 AAANashville Sounds · 603 PAwOBA .341 → .302 (−38)K% 19.6% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.57%	÷0.971	×1.200	—	—	24.20%
BB% (unintentional) /PA	10.78%	÷0.994	×0.690	—	×1.050	7.85%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	27.29%	÷0.996	×0.930	×1.012	×1.050	27.09%
Doubles /BIP	5.80%	÷0.952	×0.830	×1.012	×1.050	5.37%
Triples /BIP	0.48%	÷1.150	×0.970	×1.012	×1.050	0.43%
Home runs /BIP	3.14%	÷0.946	×0.700	—	×1.050	2.44%

Factors used: league row International League. Park (home-season share, regressed): HR 89, 1B 99, 2B 90, 3B 130, K 94, BB 99 — 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 ×1.012.

Result: wOBA .341 → .302; ISO .126 → .104; BABIP .342 → .332. 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 AABiloxi Shuckers · 320 PAwOBA .312 → .274 (−39)K% 15.0% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.980	×1.220	—	—	18.66%
BB% (unintentional) /PA	8.44%	÷1.033	×0.690	—	×1.042	5.87%
HBP% /PA	0.31%	—	×0.850	—	×1.042	0.28%
Singles /BIP	22.50%	÷0.993	×0.940	×0.982	×1.042	21.78%
Doubles /BIP	5.83%	÷1.124	×0.870	×0.982	×1.042	4.62%
Triples /BIP	1.25%	÷1.000	×0.920	×0.982	×1.042	1.18%
Home runs /BIP	2.08%	÷0.929	×0.780	—	×1.042	1.82%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 125, 3B 100, K 96, BB 107 — 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 ×0.982.

Result: wOBA .312 → .274; ISO .122 → .104; BABIP .300 → .279. 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 · 176 PAwOBA .321 → .297 (−24)K% 19.9% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.89%	÷1.024	×1.200	—	—	23.31%
BB% (unintentional) /PA	17.61%	÷0.946	×0.690	—	×1.050	13.49%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	25.00%	÷0.966	×0.930	×1.041	×1.050	26.29%
Doubles /BIP	6.48%	÷1.030	×0.830	×1.041	×1.050	5.71%
Triples /BIP	0.00%	÷1.150	×0.920	×1.041	×1.050	0.00%
Home runs /BIP	0.93%	÷0.915	×0.700	—	×1.050	0.74%

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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .321 → .297; ISO .070 → .062; BABIP .315 → .319. 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 AWisconsin Timber Rattlers · 357 PAwOBA .340 → .284 (−56)K% 15.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.13%	÷0.994	×1.360	—	—	20.70%
BB% (unintentional) /PA	13.17%	÷0.953	×0.690	—	×1.030	9.82%
HBP% /PA	0.28%	—	×0.780	—	×1.030	0.23%
Singles /BIP	27.31%	÷0.963	×0.920	×0.950	×1.030	25.54%
Doubles /BIP	5.22%	÷1.136	×0.830	×0.950	×1.030	3.73%
Triples /BIP	1.61%	÷1.150	×0.910	×0.950	×1.030	1.24%
Home runs /BIP	0.80%	÷1.022	×0.800	—	×1.030	0.65%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 92, 2B 127, 3B 130, K 99, BB 91 — 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 ×0.950.

Result: wOBA .340 → .284; ISO .089 → .067; BABIP .339 → .302. 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 A+Carolina Mudcats · 207 PAwOBA .287 → .216 (−71)K% 22.7% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.71%	÷0.967	×1.420	—	—	33.33%
BB% (unintentional) /PA	15.94%	÷1.010	×0.630	—	×1.042	10.36%
HBP% /PA	0.97%	—	×0.860	—	×1.042	0.87%
Singles /BIP	20.33%	÷0.978	×0.940	×0.950	×1.042	19.33%
Doubles /BIP	4.88%	÷1.183	×0.830	×0.950	×1.042	3.39%
Triples /BIP	1.63%	÷1.096	×0.800	×0.950	×1.042	1.17%
Home runs /BIP	0.81%	÷1.082	×0.900	—	×1.042	0.70%

Factors used: league row CAR. Park (home-season share, regressed): HR 116, 1B 96, 2B 137, 3B 119, K 93, BB 102 — applied at half strength. Age: age 20 vs a level average of 22.8 → +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 .287 → .216; ISO .076 → .053; BABIP .268 → .239. 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 ROKHelena Brewers · 192 PAwOBA .342 → .256 (−86)K% 17.7% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.71%	÷1.000	×1.440	—	—	25.50%
BB% (unintentional) /PA	16.15%	÷1.000	×0.610	—	×1.008	9.92%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	29.60%	÷1.000	×0.820	×1.023	×1.008	25.00%
Doubles /BIP	4.80%	÷1.000	×0.720	×1.023	×1.008	3.56%
Triples /BIP	0.80%	÷1.000	×0.720	×1.023	×1.008	0.59%
Home runs /BIP	0.80%	÷1.000	×0.750	—	×1.008	0.60%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .342 → .256; ISO .069 → .051; BABIP .349 → .289. 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
#1Chase Headleylast yr '18 career totals — 11 seasons, 5,740 PA	8.6	5,740	130	93	263	343	400	+6	+26	27.7	26.7
/162	664	15	11	+0.8	+3.1	3.2	pk7: 26
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	10.4	6,915	158	242	253	331	388	+25	+24	27.5	25.5
/162	664	15	23	+2.4	+2.3	2.6	pk7: 23
#2Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#3Delino DeShields'90-'02 * career totals — 13 seasons, 6,652 PA	10.0	6,652	80	463	259*	342*	380*	+14	-17	24.9	23.2
/162	664	8	46	+1.4	-1.7	2.5	pk7: 22
#4Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#5Tony Bernazard'79-'91 * career totals — 9 seasons, 4,243 PA	6.4	4,243	75	113	258*	339*	404*	+15	+5	17.1	17.2
/162	664	12	18	+2.4	+0.7	2.7	pk7: 17
#6Quilvio Veras'95-'01 * career totals — 7 seasons, 3,293 PA	5.0	3,293	32	183	258*	356*	352*	+12	+24	14.7	14.7
/162	664	6	37	+2.4	+4.9	3.0	pk7: 15

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
Brice Turang (OGILVIE)	27	55	40	60	55	260/344/412	152	322	16	30	23%	11%	116	+2.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake McCarthy 2023 · MLB	26	53→60	49→50	62→60	46	259/323/418	158	325	15	33	24%	7%	109	+2.0	262/323/386	124	312	11	32	19%	7%	101	+1.4	258/314/387	129	298	10	28	16%	6%	98	+1.0
●Jason Kipnis 2014 · MLB	27	54→62	48→55	57→55	54	264/340/417	153	312	15	24	20%	10%	115	+2.4	267/336/409	142	319	12	18	19%	9%	112	+2.2	266/333/438	171	314	15	11	19%	8%	118	+2.5
✕Cedric Mullins 2022 · MLB	27	51→55	52→55	56→60	49	258/320/434	176	293	19	25	19%	8%	112	+2.2	247/311/412	165	285	18	27	20%	8%	103	+1.6	234/301/390	156	268	18	31	20%	8%	95	+0.9
✕Kevin Kiermaier 2017 · MLB	27	51→58	49→55	59→55	49	254/312/417	163	289	15	22	18%	7%	104	+1.6	240/300/404	164	289	17	20	22%	7%	97	+1.1	249/311/390	141	319	11	17	24%	7%	99	+0.7
●Alejandro De Aza 2012 · MLB	28	57→61	45→50	56→55	47	276/327/411	135	332	10	25	20%	6%	108	+1.9	266/324/400	134	325	11	22	20%	7%	105	+1.7	259/321/390	131	318	11	21	21%	7%	102	+1.5
✕Bryson Stott 2024 · MLB	26	52→56	46→45	55	48	259/313/391	133	301	13	21	19%	7%	99	+1.3	252/319/379	127	290	12	26	17%	9%	99	+1.2	247/323/373	125	285	11	29	16%	10%	99	+1.2
●TJ Friedl 2024 · MLB	28	50→54	49→50	58→55	51	251/322/411	160	283	16	22	18%	8%	107	+1.9	238/325/373	135	271	15	15	18%	9%	100	+1.3	223/319/337	114	258	13	12	18%	10%	89	+0.4
✕Leonys Martin 2014 · MLB	26	53→56	46→50	58→60	46	258/310/396	138	305	12	31	20%	6%	99	+1.2	248/299/358	110	305	11	28	21%	6%	86	+0.3	241/296/382	141	305	16	24	25%	6%	90	+0.5
✕Andrés Giménez 2024 · MLB	25	52→59	49→50	57→55	44	261/322/416	155	305	16	24	20%	5%	109	+2.0	242/298/355	113	279	11	24	17%	5%	85	+0.2	235/289/332	98	272	10	24	17%	4%	77	-0.3
●Nico Hoerner 2024 · MLB	27	57→62	42→45	59→60	51	276/333/385	109	302	10	29	12%	6%	105	+1.7	275/332/376	101	297	8	26	10%	7%	102	+1.5	273/329/366	93	292	7	25	9%	6%	99	+1.4
✕Ha-Seong Kim 2024 · MLB	28	51→53	47→50	54→60	55	253/333/392	139	296	15	24	19%	10%	107	+1.8	228/313/346	118	268	12	23	19%	10%	89	+0.5	205/294/302	97	241	10	23	19%	11%	73	-0.4
●Desmond Jennings 2013 · MLB	26	50→60	48→50	62→60	50	246/318/394	148	294	15	31	21%	8%	101	+1.4	244/318/389	145	291	13	20	20%	9%	101	+1.4	242/320/381	140	287	12	19	19%	10%	100	+0.9
●Jonathan Villar 2018 · MLB	27	55→60	48→50	59→65	47	263/326/409	145	351	14	39	28%	8%	107	+1.9	259/322/398	139	338	16	34	26%	8%	104	+1.6	256/324/408	152	325	18	29	25%	9%	108	+1.5
✕Tommy Edman 2023 · MLB	28	53→58	46→50	58→55	48	260/313/394	134	295	13	25	16%	6%	100	+1.3	245/303/393	148	275	16	22	17%	7%	96	+1.0	235/293/384	149	259	18	20	17%	6%	92	+0.5
✕Chris Dickerson 2010 · MLB	28	55→56	46→50	59→60	50	257/336/398	142	351	12	25	28%	10%	109	+2.0	247/319/369	122	344	10	28	28%	9%	96	+1.0	237/311/378	141	327	13	22	29%	9%	95	+0.5
✕Fred Lewis 2009 · MLB	28	55→59	47→50	59→55	50	263/331/415	152	332	12	20	24%	9%	110	+2.1	258/332/401	143	327	10	17	22%	9%	108	+1.9	251/331/387	136	316	9	16	22%	9%	105	+1.0
✕Roman Quinn 2020 · MLB	27	52→57	46→45	63→65	45	249/308/387	139	331	12	32	28%	8%	96	+1.0	228/301/358	130	327	12	30	31%	8%	88	+0.4	187/275/291	104	311	8	41	39%	9%	62	-0.3
✕Chris Duffy 2007 · MLB	27	58→64	42→45	62→60	44	276/328/388	111	333	8	33	19%	5%	103	+1.6	245/306/355	110	297	8	25	19%	7%	88	+0.4	228/283/334	105	295	7	21	24%	6%	73	-0.3
✕Corey Patterson 2007 · MLB	27	49→54	51→55	60	41	250/286/407	157	291	19	34	22%	4%	93	+0.8	239/274/371	132	274	14	32	18%	4%	80	-0.2	234/269/352	118	293	11	28	23%	4%	72	-0.5
●Adam Kennedy 2004 · MLB	28	56→64	45	52→55	48	276/330/404	128	308	12	20	15%	6%	108	+1.9	275/333/387	112	317	9	20	16%	7%	105	+1.7	276/334/376	100	321	6	20	15%	6%	104	+1.4

Brice Turang

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps