Brice Turang — OGILVIE

Brice Turang2B Milwaukee Brewers

Age 26 L/R 6'0" / 190 lbs MLB BB +10%HR +7% Svc 2.959S2 · Ctrl thru 2029 peak 4.5 · 2026

wRC+†vL 110122vR 128

AVG/OBP/SLG.260 / .331 / .383

PA659

HR15

SB39

K%21

BB%9

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

60→60

EYE

55→55

trajectory · 10 yrs

3.8peak

2027

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2023

Service 2.959 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$4M	+4.5	$36M	+$32M
2027	Arb-2	$9M	+4.2	$35M	+$26M
2028	Arb-3	$14M	+4.0	$34M	+$20M
2029	Arb-4	$20M	+3.7	$32M	+$12M
Totals		$47M		$137M	+$90M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2018	18	ROK	Helena Brewers	192	171	37	4	1	1	19	49	0	14	2	.216	.295	.269	.564	.053	.293	26	10	.254	53	-10	+2	+0	+1	+5	-0.2
2019	19	A	2 teams	564	501	103	13	4	2	55	138	3	30	5	.206	.288	.259	.547	.054	.276	24	10	.254	52	-30	+4	+0	+2	+16	-0.9
2021	21	AA	2 teams	496	451	103	17	3	6	40	105	1	20	9	.228	.293	.319	.612	.091	.283	21	8	.271	66	-19	+0	+0	+2	+14	-0.3
2022	22	AAA	Nashville Sounds	603	552	141	21	2	11	45	145	0	34	2	.255	.312	.361	.672	.105	.323	24	7	.295	84	-11	+6	+0	+2	+17	1.5
2023	23	MLB	2 teams	511	463	99	14	2	9	42	106	1	28	4	.214	.281	.311	.592	.097	.257	21	8	.259	57	-25	+4	+1	+2	+14	-0.4
2024	24	MLB	Milwaukee Brewers	619	559	146	25	4	6	50	105	2	50	6	.261	.324	.352	.676	.091	.310	17	8	.295	84	-11	+8	+5	+2	+18	2.2
2025	25	MLB	Milwaukee Brewers	659	584	171	28	1	17	66	150	2	24	8	.293	.367	.432	.798	.139	.365	23	10	.343	120	+15	+2	-1	+2	+19	3.8
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	Milwaukee Brewers	103	82	23	5	1	4	19	22	0	7	2	.280	.416	.512	.928	.232	.333	21	18	.391	157	+7	+1	+0	+0	+3	1.1
ROS	26	MLB	MIL	556	488	128	21	2	14	62	116	1	32	7	.262	.347	.400	.746	.137	.315	21	11	.337	116	+10	+4	+2	+2	+16	3.4
TOT	26	MLB	MIL	659	570	151	26	3	18	81	138	1	39	9	.265	.357	.416	.773	.151	.318	21	12	.345	122	+17	+4	+2	+2	+19	4.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	MIL	654	573	150	24	3	17	74	109	2	37	8	.262	.348	.403	.751	.141	.295	17	11	.337	116	+12	+4	+2	+2	+19	4.0
2028	28	MLB	MIL	646	565	149	24	3	17	74	108	2	36	7	.264	.351	.407	.758	.143	.295	17	11	.336	115	+11	+4	+1	+2	+18	3.8
2029	29	MLB	MIL	634	554	143	23	2	16	73	108	2	34	6	.258	.347	.394	.740	.135	.294	17	12	.334	114	+10	+4	+0	+2	+18	3.5
2030	30	MLB	MIL	622	545	140	23	2	15	71	108	1	32	6	.257	.344	.389	.733	.132	.293	17	11	.331	111	+8	+4	-0	+2	+18	3.2
2031	31	MLB	MIL	607	532	135	22	2	14	69	108	1	28	5	.254	.341	.382	.722	.128	.292	18	11	.327	108	+6	+4	-1	+2	+17	2.8
2032	32	MLB	MIL	588	515	129	21	2	13	67	108	1	25	4	.250	.338	.375	.713	.124	.290	18	11	.322	105	+3	+3	-2	+2	+17	2.4
2033	33	MLB	MIL	558	489	121	19	2	12	63	106	1	21	3	.247	.335	.368	.703	.121	.289	19	11	.317	101	+0	+3	-3	+2	+16	1.9
2034	34	MLB	MIL	510	446	108	17	2	10	58	101	1	18	2	.242	.331	.357	.687	.114	.287	20	11	.310	96	-2	+3	-3	+2	+14	1.3
2035	35	MLB	MIL	453	399	95	14	2	9	51	95	0	15	1	.238	.324	.351	.675	.113	.285	21	11	.303	90	-5	+3	-4	+2	+13	0.8
2036	36	MLB	MIL	392	346	79	12	1	7	43	86	0	13	1	.228	.314	.329	.643	.101	.283	22	11	.294	83	-7	+2	-5	+1	+11	0.2
2037	37	MLB	MIL	327	288	64	9	1	5	36	75	0	10	0	.222	.309	.312	.621	.090	.280	23	11	.285	76	-9	+2	-6	+1	+9	-0.3
2038	38	MLB	MIL	256	227	49	7	1	3	27	61	0	7	0	.216	.299	.295	.594	.079	.275	24	11	.274	68	-9	+1	-7	+1	+7	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			10447	9248	2290	358	42	204	1085	2087	21	508	86	.248	.328	.362	.690	.114	.297	20	10	.309	94	-65	+67	-22	+37	+296	32.0
/ 162G	—			650	575	143	22	3	13	68	130	1	32	5	.249	.329	.365	.694	.117	.298	20	10	.309	94	-4	+4	-1	+2	+18	2.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2018	18	ROK	Helena Brewers	192	159	45	6	1	1	31	34	0	14	2	.283	.400	.352	.752	.069	.349	18	16	.346	123	+5	+2	—	—	+5	1.3
2019	19	A+	Carolina Mudcats	207	170	34	6	2	1	34	47	2	9	1	.200	.340	.276	.616	.076	.268	23	16	.294	83	-4	+1	—	—	+6	0.3
2019	19	A	Wisconsin Timber Rattlers	357	303	87	13	4	2	49	54	1	21	4	.287	.388	.376	.764	.089	.339	15	14	.347	123	+9	+3	—	—	+10	2.3
2021	21	AAA	Nashville Sounds	176	143	35	7	0	1	32	35	0	9	2	.245	.383	.315	.698	.070	.315	20	18	.329	110	+2	+1	—	—	+5	0.8
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	103	+1	-1	—	—	+9	1.0
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	123	+16	+6	—	—	+17	4.0
2023	23	MLB	Milwaukee Brewers	448	404	88	9	3	6	38	94	1	26	4	.218	.287	.300	.586	.082	.268	21	8	.267	62	-19	+4	+1	+2	+13	0.0
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	166	+5	+0	—	—	+2	0.7
2024	24	MLB	Milwaukee Brewers	619	559	142	24	4	7	50	105	2	50	6	.254	.318	.349	.666	.095	.300	17	8	.299	87	-9	+8	+5	+2	+18	2.4
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	128	+21	+2	-1	+2	+19	4.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1726	1547	398	61	9	31	154	349	5	100	18	.257	.326	.368	.695	.111	.312	20	9	.311	96	-7	+13	+6	+6	+49	6.8

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)	26	55	40	60	55	.261/.346/.401	.140	.295	17	38	16%	11%	116	+3.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake McCarthy 2023 · MLB	26	51→60	49→50	62→60	45	.251/.315/.410	.159	.320	16	32	26%	7%	105	+2.1	.258/.320/.384	.126	.310	11	32	20%	7%	100	+1.7	.252/.316/.362	.110	.298	9	32	18%	6%	89	+0.8
●Desmond Jennings 2013 · MLB	26	50→59	47→50	62→60	50	.248/.319/.388	.140	.296	13	31	21%	8%	101	+1.8	.249/.323/.395	.146	.298	14	21	20%	9%	105	+2.1	.246/.324/.386	.140	.293	12	19	19%	10%	98	+1.1
✕Leonys Martin 2014 · MLB	26	52→55	47→50	58→60	45	.258/.309/.402	.144	.302	12	30	19%	6%	100	+1.7	.249/.301/.364	.115	.305	11	29	21%	6%	86	+0.8	.241/.297/.381	.140	.306	16	24	26%	7%	85	+0.6
✕Flavio Romero 2007 · AAA	27	51→57	45	54→60	53	.248/.324/.367	.119	.293	12	31	20%	9%	98	+1.6	.237/.324/.332	.095	.292	8	24	20%	11%	89	+0.9	.240/.335/.317	.078	.296	5	20	19%	12%	88	+0.6
✕Roger Cedeno 2001 · MLB	26	54→60	46→45	58→65	62	.266/.359/.395	.129	.302	13	34	16%	13%	119	+3.1	.272/.330/.377	.105	.316	9	37	16%	8%	102	+1.8	.270/.323/.368	.099	.314	7	34	16%	7%	92	+1.1
●Jason Kipnis 2014 · MLB	27	54→60	48→55	58→55	54	.263/.339/.415	.152	.312	14	24	20%	10%	115	+2.8	.264/.338/.398	.134	.317	11	19	19%	9%	111	+2.5	.258/.327/.418	.161	.303	15	11	19%	8%	105	+2.0
●Cameron Maybin 2013 · MLB	26	52→59	44→50	59→55	48	.252/.313/.375	.123	.309	11	28	22%	8%	95	+1.4	.240/.302/.355	.115	.290	11	22	20%	8%	85	+0.7	.257/.331/.375	.118	.309	11	30	19%	9%	99	+1.4
✕Josh Rojas 2020 · MLB	26	46→55	48→50	55	49	.231/.297/.380	.149	.276	14	24	22%	8%	89	+1.0	.245/.318/.381	.136	.306	13	20	22%	9%	98	+1.6	.254/.328/.372	.118	.320	10	18	22%	10%	95	+1.1
✕Cedric Mullins 2022 · MLB	27	49→56	50→55	57→60	49	.249/.310/.408	.159	.285	17	25	20%	7%	102	+1.9	.251/.316/.417	.166	.291	18	27	20%	8%	107	+2.2	.237/.305/.396	.159	.274	18	31	20%	8%	94	+1.2
●Nate McLouth 2008 · MLB	26	51→55	49→60	59→60	49	.252/.320/.406	.154	.289	15	27	19%	7%	106	+2.2	.254/.339/.443	.189	.278	20	20	17%	10%	124	+3.4	.244/.335/.425	.181	.264	20	19	16%	10%	112	+2.4
✕Mallex Smith 2019 · MLB	26	56→61	41→45	63→65	50	.264/.329/.375	.110	.331	5	39	21%	8%	100	+1.7	.237/.304/.347	.110	.307	7	40	23%	8%	83	+0.6	.220/.292/.329	.108	.292	8	49	25%	8%	72	-0.1
●B.J. Upton 2011 · MLB	26	51→60	48→60	59→60	55	.246/.332/.401	.154	.314	13	37	24%	11%	109	+2.4	.239/.314/.416	.177	.305	20	30	27%	10%	106	+2.2	.229/.304/.399	.170	.293	21	28	28%	9%	94	+1.2
✕José Caballero 2023 · AA	26	45	46→45	58→70	58	.222/.330/.350	.129	.281	13	31	24%	13%	97	+1.5	.227/.324/.345	.118	.296	11	48	25%	10%	93	+1.3	.229/.321/.344	.115	.305	10	63	26%	9%	87	+0.6
●Scott Podsednik 2004 · MLB	28	60→65	44→45	61→65	55	.291/.358/.422	.131	.332	10	33	15%	9%	125	+3.5	.267/.333/.374	.107	.308	7	48	15%	9%	102	+1.9	.287/.340/.379	.092	.327	6	34	13%	7%	102	+1.5
✕Corey Patterson 2007 · MLB	27	49→55	51→55	59→60	43	.251/.295/.412	.161	.296	19	32	22%	5%	97	+1.5	.242/.279/.376	.134	.277	14	33	18%	4%	80	+0.4	.237/.273/.360	.123	.296	11	28	23%	4%	70	-0.2
●Denard Span 2010 · MLB	26	60→64	41→50	55	55	.284/.355/.391	.108	.332	7	23	16%	9%	115	+2.8	.267/.335/.363	.096	.301	5	20	12%	9%	100	+1.7	.261/.330/.402	.141	.286	13	12	14%	9%	105	+1.9
●Jonathan Villar 2018 · MLB	27	54→58	47→50	59→65	48	.260/.325/.400	.140	.347	14	41	28%	9%	106	+2.2	.263/.327/.404	.141	.344	16	35	26%	8%	108	+2.3	.257/.327/.411	.153	.327	18	29	25%	9%	107	+1.7
✕Roger Bernadina 2011 · MLB	27	55→64	45	59→60	48	.266/.322/.395	.130	.323	12	26	21%	7%	103	+1.9	.242/.306/.370	.128	.296	13	26	22%	7%	91	+1.1	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1
●Rickie Weeks Jr. 2009 · MLB	26	50→58	50→55	58→55	57	.246/.355/.411	.166	.298	16	23	22%	12%	122	+3.3	.255/.350/.440	.185	.308	20	14	23%	11%	128	+3.6	.262/.352/.448	.186	.317	22	9	23%	10%	125	+2.7
✕Chris Duffy 2007 · MLB	27	57→63	42→45	61→60	44	.273/.324/.385	.111	.330	8	31	19%	5%	102	+1.8	.248/.308/.359	.111	.299	8	26	19%	7%	88	+0.9	.233/.289/.342	.109	.301	7	21	24%	6%	73	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)