Braden Montgomery

OF Chicago White Sox

Age 24 S/R 6'2" / 220 lbs MLB HR +4% Svc 0.645 · Ctrl thru 2032

Overview

MLB40-MANPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	AA/A+/A/INTL2 orgs	572	.278/.379/.460	13	17	101	—	.236/.304/.384
2026	23	AAA/AACWS	258	.314/.431/.548	10	5	134	—	.285/.376/.477
2026	23	MLBCWS	365	.226/.313/.350	6	1	89	-0.1
2027PROJ	24	MLBCWS	272	.238/.324/.377	6	3	98	0.5
2028PROJ82% MLB	25	MLBCWS	494	.243/.329/.399	14	6	105	1.3
2029PROJ82% MLB	26	MLBCWS	476	.246/.332/.413	15	5	109	1.5

Last 2 seasons WAR -0.1 · Next 3 projected WAR 3.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.645First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$5M2031Arb-2$7M2032Arb-3$9M

Skills · percentileStatcast 2026

Speed73

xwOBA64

Avg EV47

Barrel%20

Form.245/.323/.364 · rolling true talent (60d window) · proj .237/.321/.374

CompsDylan Carlson (age 24) · Miguel Vargas (age 24) · Aaron Luna (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†98

AVG/OBP/SLG.238 / .324 / .377

PA272

HR6

K%22

BB%10

BABIP292

ISO138

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$33M ctrl surplus

Tools · Recent Form · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

550.255

POWER

Barrel%

204.4

Avg EV

4788.9

SPEED

Sprint

7328.4

Recent Formrolling true talent ⓘ

K%18%▲▲16% over 90 PA (60d) · proj 22%

BB%10%·9% over 90 PA (60d) · proj 10%

ISO.119▼.085 over 82 AB (60d) · proj .137

HR/BB2.6%▼1.5% over 68 BBE (60d) · proj 3.3%

BABIP.287·.239 over 67 BIP (60d) · proj .291

SLASH.245/.323/.364·proj .237/.321/.374

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

Status Pre-Arb

MLB Debut 2026

Service 0.645 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.3	$10M	+$9M
2029	Pre-Arb	$0.8M	+1.5	$10M	+$10M
2030	Arb-1	$5M	+1.4	$9M	+$5M
2031	Arb-2	$7M	+1.2	$7M	+$2M
2032	Arb-3	$9M	+0.9	$2M	+$0.0M (cut)
Totals		$14M		$41M	+$28M

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)
2025	22	AA	Birmingham Barons	—	143	125	34	13	1	1	15	41	3	3	3	272	364	416	780	144	398	29	10	351	101	—	—	—	—	—	—
2025	22	A+	Winston-Salem Dash	—	290	254	66	17	3	8	32	70	3	5	2	260	349	445	794	185	328	24	11	353	74	—	—	—	—	—	—
2025	22	A	Kannapolis Cannon Ballers	—	84	69	21	4	0	3	10	19	2	6	2	304	407	493	900	188	360	23	12	387	116	—	—	—	—	—	—
2025	22	INTL	Glendale Desert Dogs	—	55	41	15	6	1	1	13	12	1	3	0	366	527	634	1.161	268	500	22	24	501	225	—	—	—	—	—	—
2026	23	MLB	Chicago White Sox	—	365	323	73	16	3	6	38	72	3	1	3	226	313	350	663	124	272	20	10	301	89	-5	-1	+0	-4	+8	-0.1
2026	23	AAA	Charlotte Knights	—	132	111	35	8	0	4	18	32	2	3	4	315	420	495	915	180	408	24	14	405	124	—	—	—	—	—	—
2026	23	AA	Birmingham Barons	—	126	99	31	5	3	6	21	32	2	2	2	313	443	606	1.049	293	385	25	17	439	145	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	365	323	73	16	3	6	38	72	3	1	3	226	313	350	663	124	272	20	10	301	90	-4	-1	+0	-4	+8	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	AA MLE	Birmingham Barons	—	143	130	34	13	1	1	10	49	3	3	3	262	329	400	729	138	410	34	7	317	101	—	—	—	—	—	—
2025	22	A+ MLE	Winston-Salem Dash	—	290	265	56	13	2	7	21	96	3	5	2	211	277	355	632	143	302	33	7	278	74	—	—	—	—	—	—
2025	22	A MLE	Kannapolis Cannon Ballers	—	84	72	20	4	0	3	7	26	2	6	2	278	358	458	816	181	335	31	8	340	116	—	—	—	—	—	—
2026	23	MLB MLE	Chicago White Sox	—	365	323	73	16	3	6	38	72	3	1	3	226	313	350	663	124	272	20	10	300	89	-5	-1	+0	-4	+8	-0.1
2026	23	AAA MLE	Charlotte Knights	—	132	116	33	7	0	3	13	38	2	3	4	284	366	422	789	138	401	29	10	351	124	—	—	—	—	—	—
2026	23	AA MLE	Birmingham Barons	—	126	105	30	5	3	5	15	39	2	2	2	286	385	533	919	248	349	31	12	383	145	—	—	—	—	—	—
2025	22	A+ MLE	4 teams	—	572	518	123	33	4	12	41	189	9	17	7	237	305	386	691	149	346	33	7	299	88	—	—	—	—	—	—
2025	22	A+ RAW	4 teams	—	572	489	136	40	5	13	70	142	9	17	7	278	379	460	839	182	364	25	12	372	88	—	—	—	—	—	—
2026	23	MLB MLE	3 teams	—	623	544	136	28	6	14	66	149	7	6	9	250	339	401	739	151	315	24	11	328	108	+6	-2	+0	-4	+13	1.4
2026	23	MLB RAW	3 teams	—	623	533	139	29	6	16	77	136	7	6	9	261	361	428	789	167	318	22	12	351	108	+6	-2	+0	-4	+13	1.4
2025	22	A+ MLE	4 teams	—	572	517	123	33	4	12	41	189	9	17	7	238	305	387	691	149	337	33	7	299	88	—	—	—	—	—	—
2026	23	MLB MLE	3 teams	—	623	545	136	28	6	14	66	149	7	6	9	250	339	400	739	150	315	24	11	328	108	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A+ MLE	4 teams	—	572	517	123	33	4	12	41	189	9	17	7	238	305	387	691	149	337	33	7	299	88	—	—	—	—	—	—
2026	23	MLB MLE	3 teams	—	623	545	136	28	6	14	66	149	7	6	9	250	339	400	739	150	315	24	11	328	108	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	CWS	100%	380	335	79	15	3	8	38	85	4	5	1	237	323	374	697	137	291	22	10	313	98	-1	+1	+1	-2	+8	0.7
▸ 2027 — real world (MLB)
2027	24	MLB CTX	CWS	100%	272	240	57	11	2	6	27	61	3	3	1	238	324	377	701	138	292	22	10	315	98	-1	+0	+1	-2	+6	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	CWS	82%	603	530	129	24	5	16	61	134	7	7	2	242	328	395	723	153	292	22	10	323	105	+4	+1	+2	-4	+13	1.6
2029	26	MLB MLE	CWS	82%	580	510	126	23	4	18	59	129	6	6	1	245	331	410	741	165	292	22	10	330	109	+6	+1	+2	-3	+13	1.8
2030	27	MLB MLE	CWS	82%	560	492	121	22	4	17	57	126	6	6	1	244	330	407	737	163	292	22	10	328	108	+6	+1	+2	-3	+12	1.7
2031	28	MLB MLE	CWS	82%	545	479	116	21	4	16	55	123	6	4	1	242	328	402	730	160	291	23	10	326	106	+4	+0	+1	-3	+12	1.4
2032	29	MLB MLE	CWS	82%	530	466	112	20	4	15	54	121	5	2	1	240	325	396	721	156	289	23	10	322	104	+2	+0	+0	-3	+11	1.1
2033	30	MLB MLE	CWS	82%	515	453	107	19	3	14	52	120	5	1	1	236	321	388	709	151	287	23	10	317	101	+0	-0	-1	-3	+11	0.8
2034	31	MLB MLE	CWS	82%	501	441	102	18	3	13	50	118	5	0	0	232	316	377	694	145	284	24	10	311	97	-2	+0	-1	-3	+11	0.5
2035	32	MLB MLE	CWS	82%	487	432	97	17	3	12	48	117	4	0	0	227	310	364	674	138	280	24	10	303	91	-5	+0	-2	-3	+11	0.1
2028	25	MLB CTX	CWS	82%	494	436	107	20	4	14	50	110	5	6	1	243	329	399	727	155	293	22	10	325	105	+3	+1	+1	-3	+11	1.3
2029	26	MLB CTX	CWS	82%	476	420	104	19	4	15	48	106	5	5	1	246	332	413	745	167	293	22	10	331	109	+5	+1	+1	-3	+10	1.5
2030	27	MLB CTX	CWS	82%	459	404	99	18	3	14	47	103	5	5	1	245	331	411	741	165	293	22	10	330	108	+5	+1	+1	-3	+10	1.4
2031	28	MLB CTX	CWS	82%	447	394	95	17	3	13	45	101	5	3	1	243	329	406	734	162	292	23	10	327	106	+3	+0	+1	-3	+10	1.2
2032	29	MLB CTX	CWS	82%	435	384	93	17	3	13	44	100	4	2	1	241	326	399	725	158	290	23	10	323	104	+2	+0	+0	-3	+9	0.9
2033	30	MLB CTX	CWS	82%	422	373	89	16	3	12	42	98	4	0	0	237	322	391	713	153	288	23	10	319	101	+0	+0	-1	-3	+9	0.7
2034	31	MLB CTX	CWS	82%	411	363	85	15	3	11	41	97	4	0	0	233	317	380	697	147	285	24	10	313	97	-2	+0	-1	-2	+9	0.4
2035	32	MLB CTX	CWS	82%	399	354	80	14	2	10	39	96	3	0	0	227	311	367	678	140	281	24	10	305	91	-4	+0	-2	-2	+9	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3908	3451	825	152	28	108	394	883	38	22	8	239	324	393	717	154	289	23	10	320	102	+9	+1	+1	-25	+85	7.2
/ 162G	—	A+C		—	650	574	137	25	5	18	66	147	6	4	1	239	324	394	717	155	289	23	10	320	102	+1	+0	+0	-4	+14	1.2
Career	—	MLE		—	5788	5105	1226	236	42	153	570	1387	63	52	24	240	324	393	717	153	298	24	10	319	102	+11	+2	+2	-31	+107	9.3
/ 162G	—	MLE		—	650	573	138	27	5	17	64	156	7	6	3	241	325	394	719	154	300	24	10	319	102	+1	+0	+0	-4	+14	1.2

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.

2026 AAACharlotte Knights · 132 PAwOBA .398 → .351 (−46)K% 24.2% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷1.000	×1.200	—	—	29.09%
BB% (unintentional) /PA	13.64%	÷1.000	×0.690	—	×1.050	9.88%
HBP% /PA	1.52%	—	×0.940	—	×1.050	1.50%
Singles /BIP	29.11%	÷1.000	×0.930	×1.050	×1.050	29.85%
Doubles /BIP	10.13%	÷1.000	×0.830	×1.050	×1.050	9.27%
Triples /BIP	0.00%	÷1.000	×0.970	×1.050	×1.050	0.00%
Home runs /BIP	5.06%	÷1.000	×0.700	—	×1.050	3.72%

Factors used: league row International League. 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 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 ×1.050.

Result: wOBA .398 → .351; ISO .180 → .145; BABIP .408 → .401. 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).

2026 AABirmingham Barons · 126 PAwOBA .441 → .383 (−58)K% 25.4% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.40%	÷1.000	×1.220	—	—	30.98%
BB% (unintentional) /PA	16.67%	÷1.000	×0.680	—	×1.027	11.64%
HBP% /PA	1.59%	—	×0.840	—	×1.027	1.37%
Singles /BIP	25.37%	÷1.000	×0.920	×0.980	×1.027	23.49%
Doubles /BIP	7.46%	÷1.000	×0.910	×0.980	×1.027	6.83%
Triples /BIP	4.48%	÷1.000	×0.880	×0.980	×1.027	3.96%
Home runs /BIP	8.96%	÷1.000	×0.800	—	×1.027	7.36%

Factors used: league row SL. 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 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 ×0.980.

Result: wOBA .441 → .383; ISO .293 → .263; BABIP .385 → .349. 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).

2025 A+Winston-Salem Dash · 290 PAwOBA .345 → .278 (−66)K% 24.1% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷0.955	×1.310	—	—	33.12%
BB% (unintentional) /PA	11.03%	÷0.949	×0.600	—	×1.012	7.06%
HBP% /PA	1.03%	—	×0.770	—	×1.012	0.81%
Singles /BIP	20.65%	÷0.942	×0.870	×1.038	×1.012	20.02%
Doubles /BIP	9.24%	÷0.984	×0.780	×1.038	×1.012	7.69%
Triples /BIP	1.63%	÷1.045	×0.850	×1.038	×1.012	1.39%
Home runs /BIP	4.35%	÷0.923	×0.880	—	×1.012	4.20%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 85, 1B 88, 2B 97, 3B 109, K 91, BB 90 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .345 → .278; ISO .185 → .155; BABIP .328 → .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).

2025 AABirmingham Barons · 143 PAwOBA .340 → .317 (−23)K% 28.7% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.67%	÷1.020	×1.220	—	—	34.31%
BB% (unintentional) /PA	9.79%	÷1.020	×0.680	—	×1.042	6.80%
HBP% /PA	2.10%	—	×0.840	—	×1.042	1.84%
Singles /BIP	22.62%	÷0.954	×0.920	×1.050	×1.042	23.87%
Doubles /BIP	15.48%	÷0.984	×0.910	×1.050	×1.042	15.67%
Triples /BIP	1.19%	÷1.150	×0.880	×1.050	×1.042	1.00%
Home runs /BIP	1.19%	÷0.784	×0.800	—	×1.042	1.27%

Factors used: league row SL. Park (home-season share, regressed): HR 57, 1B 91, 2B 97, 3B 130, K 104, BB 104 — 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 ×1.050.

Result: wOBA .340 → .317; ISO .144 → .140; BABIP .398 → .410. 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).

2025 AKannapolis Cannon Ballers · 84 PAwOBA .391 → .340 (−51)K% 22.6% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.62%	÷1.009	×1.360	—	—	30.49%
BB% (unintentional) /PA	11.90%	÷1.030	×0.690	—	—	7.98%
HBP% /PA	2.38%	—	×0.780	—	—	1.86%
Singles /BIP	28.00%	÷1.018	×0.920	×1.050	—	26.58%
Doubles /BIP	8.00%	÷0.992	×0.830	×1.050	—	7.03%
Triples /BIP	0.00%	÷1.091	×0.910	×1.050	—	0.00%
Home runs /BIP	6.00%	÷0.853	×0.800	—	—	5.63%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 104, 2B 98, 3B 118, K 102, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .391 → .340; ISO .188 → .174; BABIP .360 → .335. 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
#1Chris Taylorlast yr '25 career totals — 12 seasons, 3,909 PA	5.9	3,909	110	91	248	327	419	-9	+4	15.9	16.4
/162	664	19	15	-1.6	+0.6	2.7	pk7: 17
#2Mark Whiten'90-'00 * career totals — 9 seasons, 3,521 PA	5.3	3,521	105	78	251*	332*	421*	-35	+22	11.8	11.5
/162	664	20	15	-6.6	+4.2	2.2	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,180	112	26	239	320	390	-25	+13	9.9	9.3
/162	664	18	4	-4.0	+2.1	1.6	pk7: 9
#3Michael Tucker'95-'06 * career totals — 12 seasons, 4,686 PA	7.1	4,686	125	114	246*	326*	410*	-44	+9	9.4	9.1
/162	664	18	16	-6.3	+1.3	1.3	pk7: 9
#4Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
#5Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#6Dustan Mohr'01-'07 * career totals — 5 seasons, 1,537 PA	2.3	1,537	49	13	241*	315*	412*	-15	+20	3.8	3.8
/162	664	21	6	-6.6	+8.6	1.6	pk7: 4

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
Braden Montgomery (OGILVIE)	24	—	—	—	—	235/320/371	135	291	6	3	22%	10%	98	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Carlson 2023 · MLB	24	49→53	49→55	47→50	51	245/321/403	158	296	15	5	22%	9%	105	+1.7	228/311/353	125	282	13	7	23%	9%	91	+0.6	215/303/322	107	270	12	8	23%	10%	81	-0.0
●Miguel Vargas 2024 · MLB	24	48→54	49→55	52→50	53	240/320/398	158	282	16	12	21%	10%	103	+1.6	226/321/395	169	261	18	12	20%	11%	103	+1.6	226/328/409	183	251	21	13	19%	12%	110	+2.0
✕Aaron Luna 2011 · AAA	24	44→46	49→50	50→45	50	221/334/375	154	272	16	7	24%	9%	105	+1.7	234/324/374	140	297	16	9	25%	8%	101	+1.4	233/321/367	134	297	17	8	26%	7%	97	+0.6
●Todd Linden 2004 · MLB	24	46→53	49→55	49→45	46	237/291/386	149	275	18	9	21%	7%	90	+0.6	238/317/409	171	296	19	9	25%	9%	105	+1.7	245/327/414	169	325	18	9	28%	9%	109	+1.3
✕Endy Rodríguez 2024 · MLB	24	48→51	47→50	50→45	47	238/300/380	141	292	13	4	23%	8%	91	+0.7	225/293/352	127	282	13	7	24%	8%	83	+0.1	230/325/368	138	292	16	12	25%	12%	99	+0.6
✕Jordan Westburg 2023 · AAA	24	47→51	50→60	50	45	233/304/391	158	314	16	11	30%	8%	97	+1.1	248/305/429	181	306	21	9	25%	6%	105	+1.7	254/308/447	193	302	23	7	24%	6%	110	+1.6
✕Connor Norby 2024 · AAA	24	48→51	50→55	48→50	44	242/302/398	155	309	17	10	27%	7%	97	+1.1	248/313/406	158	334	18	13	29%	8%	103	+1.5	247/320/404	157	334	17	14	30%	8%	104	+1.4
✕Abraham Toro 2021 · MLB	24	46→54	49→50	45	46	233/304/385	151	281	16	6	23%	7%	95	+0.9	233/302/379	146	265	16	9	18%	8%	93	+0.8	234/303/380	146	267	15	9	18%	8%	93	+0.6
●Luis Rengifo 2021 · MLB	24	48→58	44→55	48→55	52	235/313/355	121	289	10	14	22%	10%	91	+0.7	252/302/406	154	289	18	11	19%	6%	99	+1.2	274/324/432	159	308	18	16	17%	6%	114	+1.8
●Jordan Luplow 2018 · MLB	24	46→49	51→65	44→50	48	236/304/398	161	281	18	6	23%	8%	98	+1.2	247/324/427	180	294	20	9	22%	9%	112	+2.2	239/330/443	204	281	23	8	23%	11%	117	+1.5
✕Nick Franklin 2015 · MLB	24	49→51	46→50	51→50	49	239/308/371	132	302	14	12	25%	9%	93	+0.8	226/286/367	141	283	16	13	25%	7%	84	+0.1	216/274/361	145	265	16	14	25%	7%	77	-0.2
●Anthony Santander 2019 · MLB	24	45→48	47→65	49→45	41	228/272/369	140	276	14	7	23%	5%	78	-0.3	238/278/416	178	271	21	5	21%	5%	93	+0.8	238/311/467	229	250	32	2	20%	8%	118	+2.9
●Jurickson Profar 2017 · MLB	24	50→55	44→55	45→50	50	245/313/358	114	291	12	8	20%	8%	92	+0.7	239/317/386	147	263	15	9	15%	9%	100	+1.3	259/353/423	164	286	18	7	16%	11%	123	+2.7
●Luis Urías 2021 · MLB	24	49→59	47→55	46→45	48	241/319/380	139	306	14	7	25%	8%	99	+1.3	237/328/398	161	282	19	5	22%	10%	107	+1.9	228/328/385	157	271	19	3	22%	11%	105	+1.3
●Jeimer Candelario 2018 · MLB	24	50→57	48→60	43→45	47	247/309/407	160	309	14	2	24%	8%	101	+1.4	240/321/413	173	302	18	4	25%	10%	107	+1.9	261/343/441	180	322	18	2	23%	10%	122	+2.2
✕Clint Frazier 2019 · MLB	24	48→49	51→55	52→50	44	242/303/413	172	314	17	11	28%	7%	101	+1.4	235/309/410	175	302	20	7	27%	9%	103	+1.5	224/307/397	173	286	20	5	28%	9%	99	+0.6
✕Nick Weglarz 2012 · AAA	24	45→48	49→50	42→45	54	223/320/375	152	281	15	5	25%	11%	99	+1.2	212/295/348	136	330	15	6	37%	10%	83	+0.1	193/279/325	132	313	16	3	40%	10%	70	-0.6
✕Yonathan Perlaza 2023 · AA	24	44→54	52→55	47→50	45	224/292/395	171	297	19	10	30%	8%	93	+0.8	240/311/410	170	311	17	12	27%	9%	103	+1.5	252/321/420	168	321	16	12	25%	9%	105	+1.7
●Justin Smoak 2011 · MLB	24	47→54	49→65	47→30	55	237/323/381	144	284	17	2	23%	11%	101	+1.4	229/311/383	154	270	19	2	22%	10%	97	+1.1	240/345/465	225	268	29	0	23%	13%	129	+3.3
●Khalil Greene 2004 · MLB	24	47→53	51→60	45	45	237/300/403	166	294	18	8	26%	7%	97	+1.1	254/315/425	171	290	18	6	18%	7%	108	+1.9	252/315/425	173	286	18	6	18%	7%	109	+1.7

Braden Montgomery

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps