Justin Capellan

C FCL Yankees

Age 21 R/R 5'10" / 180 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1463ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL NYY Bombe…	156	.242/.370/.359	1	11	28	—	.143/.260/.195
2025	19	ROKDSL NYY Yanke…	186	.255/.390/.443	6	16	37	—	.146/.258/.241
2026	20	ROKNYY	173	.221/.306/.390	4	5	22	—	.145/.214/.258
2027PROJMLE	21	MLBNYY	283	.200/.267/.297	4	6	60	0.0
2028PROJ34% MLB	22	MLBNYY	47	.206/.273/.316	1	1	65	0.0
2029PROJ48% MLB	23	MLBNYY	106	.210/.277/.328	2	2	70	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Z-Con%80

ISO73

Whiff%47

Speed37

K%34

wOBA19

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsBrandon Dailey (age 21) · Juan Mora (age 21) · Jhostynxon Garcia (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 90 proj PA

wRC+†60

AVG/OBP/SLG.198 / .264 / .295

PA90

HR1

K%28

BB%7

ISO97

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M ctrl surplus

Tools · ContractCON 40 / POW 45

Toolsscout grade

CONTACT40

scouting grade only

POWER45

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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)
2024	18	ROK	DSL NYY Bombers	—	156	128	31	12	0	1	17	33	9	11	2	242	370	359	730	117	312	21	11	335	28	—	—	—	—	—	—
2025	19	ROK	DSL NYY Yankees	—	186	149	38	10	0	6	26	34	7	16	4	255	390	443	833	188	283	18	14	368	37	—	—	—	—	—	—
2026	20	ROK	FCL Yankees	—	173	154	34	12	1	4	12	43	7	5	5	221	306	390	696	169	280	25	7	314	22	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	DSL NYY Bombers	—	156	133	19	7	0	0	12	40	9	11	2	143	260	195	455	53	189	26	8	210	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Yankees	—	186	158	23	6	0	3	17	42	7	16	4	146	258	241	499	95	163	23	9	223	37	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	173	159	23	7	1	3	7	62	7	5	5	145	214	258	472	113	204	36	4	200	22	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Bombers	—	156	133	19	7	0	0	12	40	9	11	2	143	260	195	455	53	200	26	8	210	28	—	—	—	—	—	—
2024	18	ROK RAW	DSL NYY Bombers	—	156	128	31	12	0	1	17	33	9	11	2	242	370	359	730	117	312	21	11	335	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Yankees	—	186	158	23	6	0	3	17	42	7	16	4	146	258	241	499	95	171	23	9	223	37	—	—	—	—	—	—
2025	19	ROK RAW	DSL NYY Yankees	—	186	149	38	10	0	6	26	34	7	16	4	255	390	443	833	188	283	18	14	368	37	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	173	159	23	7	1	3	7	62	7	5	5	145	214	258	472	113	213	36	4	200	22	—	—	—	—	—	—
2026	20	ROK RAW	FCL Yankees	—	173	154	34	12	1	4	12	43	7	5	5	221	306	390	696	169	280	25	7	314	22	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Bombers	—	156	134	19	7	0	0	12	40	9	11	2	142	260	194	454	52	189	26	8	210	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Yankees	—	186	160	23	6	0	3	17	42	7	16	4	144	258	237	496	94	163	23	9	223	37	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	173	157	23	7	1	3	7	62	7	5	5	146	214	261	475	115	204	36	4	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL NYY Bombers	—	156	134	19	7	0	0	12	40	9	11	2	142	260	194	454	52	189	26	8	210	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Yankees	—	186	160	23	6	0	3	17	42	7	16	4	144	258	237	496	94	163	23	9	223	37	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	173	157	23	7	1	3	7	62	7	5	5	146	214	261	475	115	204	36	4	200	22	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYY	0%	283	257	52	11	2	4	19	80	5	6	2	200	267	297	564	97	273	28	7	257	60	-14	+0	+0	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYY	34%	136	124	25	5	1	2	9	38	2	3	1	205	272	312	584	107	275	28	7	265	65	-6	+0	+0	+2	+3	-0.0
2029	23	MLB MLE	NYY	48%	218	197	42	9	1	4	15	60	4	5	1	209	277	324	600	114	276	28	7	271	70	-8	+1	+0	+4	+5	0.1
2030	24	MLB MLE	NYY	53%	302	273	59	12	2	6	21	82	5	7	2	213	280	333	613	120	278	27	7	276	73	-10	+1	+0	+5	+7	0.3
2031	25	MLB MLE	NYY	55%	357	323	69	14	2	7	25	96	6	9	2	215	283	339	622	124	279	27	7	280	76	-10	+1	+0	+6	+8	0.5
2032	26	MLB MLE	NYY	56%	390	353	76	15	2	8	28	104	6	9	3	216	285	343	628	126	279	27	7	282	77	-11	+1	+0	+7	+8	0.6
2033	27	MLB MLE	NYY	55%	403	365	78	16	2	8	29	108	6	10	3	215	284	340	624	125	279	27	7	281	76	-11	+1	+0	+7	+9	0.5
2034	28	MLB MLE	NYY	55%	406	368	78	16	2	8	29	110	6	9	3	213	282	336	617	122	278	27	7	278	74	-12	+1	-1	+7	+9	0.4
2035	29	MLB MLE	NYY	53%	399	362	76	15	2	8	28	109	6	8	3	211	279	329	608	118	276	27	7	274	72	-13	+0	-1	+7	+9	0.1
2036	30	MLB MLE	NYY	53%	390	354	74	15	2	7	27	108	6	7	3	208	275	321	597	114	274	28	7	270	69	-15	+0	-2	+7	+8	-0.1
2028	22	MLB CTX	NYY	34%	47	43	9	2	0	1	3	13	1	1	0	206	273	316	589	110	274	28	6	266	65	-2	+0	+0	+1	+1	0.0
2029	23	MLB CTX	NYY	48%	106	96	21	4	1	2	7	29	2	2	1	210	277	328	605	118	276	27	7	273	70	-4	+0	+0	+2	+2	0.0
2030	24	MLB CTX	NYY	53%	159	144	30	6	1	3	11	43	3	4	1	214	281	337	619	124	278	27	7	278	73	-5	+0	+0	+3	+3	0.2
2031	25	MLB CTX	NYY	55%	195	176	38	8	1	4	14	53	3	5	1	216	284	344	628	128	279	27	7	282	76	-6	+1	+0	+3	+4	0.3
2032	26	MLB CTX	NYY	56%	217	197	42	8	1	5	15	58	3	5	1	218	286	348	634	131	279	27	7	285	77	-6	+1	+0	+4	+5	0.3
2033	27	MLB CTX	NYY	55%	222	201	44	9	1	5	16	60	3	5	2	216	285	346	630	129	279	27	7	283	76	-6	+0	+0	+4	+5	0.3
2034	28	MLB CTX	NYY	55%	222	201	44	9	1	5	16	60	3	5	2	214	283	341	623	126	278	27	7	280	74	-7	+0	-0	+4	+5	0.2
2035	29	MLB CTX	NYY	53%	213	193	40	8	1	4	15	58	3	4	1	212	280	334	614	122	276	27	7	277	72	-7	+0	-1	+4	+5	0.1
2036	30	MLB CTX	NYY	53%	205	186	39	8	1	4	14	57	3	4	1	209	276	326	602	117	274	28	7	272	69	-8	+0	-1	+4	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1586	1437	307	62	8	33	111	431	24	35	10	214	281	337	618	123	279	27	7	279	67	-50	+3	-2	+28	+34	1.3
/ 162G	—	A+C		—	650	589	126	25	3	14	45	177	10	14	4	214	281	338	618	124	279	27	7	279	67	-21	+1	-1	+12	+14	0.6
Career	—	MLE		—	3606	3251	658	140	18	65	253	985	72	101	33	202	275	317	591	114	267	27	7	267	67	-100	+5	-4	+55	+67	2.3
/ 162G	—	MLE		—	650	586	118	25	3	12	46	178	13	18	6	201	274	316	590	114	265	27	7	267	67	-21	+1	-1	+12	+14	0.5

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 ROKFCL Yankees · 173 PAwOBA .305 → .200 (−106)K% 24.9% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.86%	÷1.000	×1.440	—	—	35.79%
BB% (unintentional) /PA	6.94%	÷1.000	×0.620	—	×0.995	4.28%
HBP% /PA	4.05%	—	×0.720	—	×0.995	2.90%
Singles /BIP	15.32%	÷1.000	×0.820	×0.950	×0.995	11.87%
Doubles /BIP	10.81%	÷1.000	×0.720	×0.950	×0.995	7.36%
Triples /BIP	0.90%	÷1.000	×0.720	×0.950	×0.995	0.61%
Home runs /BIP	3.60%	÷1.000	×0.780	—	×0.995	2.80%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .305 → .200; ISO .169 → .109; BABIP .280 → .204. 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 DSLDSL NYY Yankees · 186 PAwOBA .367 → .223 (−144)K% 18.3% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.28%	÷0.988	×1.220	—	—	22.57%
BB% (unintentional) /PA	13.98%	÷1.066	×0.700	—	×0.995	9.14%
HBP% /PA	3.76%	—	×0.700	—	×0.995	2.62%
Singles /BIP	19.13%	÷1.113	×0.680	×0.998	×0.995	11.61%
Doubles /BIP	8.70%	÷1.069	×0.600	×0.998	×0.995	4.85%
Triples /BIP	0.00%	÷0.943	×0.600	×0.998	×0.995	0.00%
Home runs /BIP	5.22%	÷1.093	×0.470	—	×0.995	2.23%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 123, 2B 114, 3B 89, K 98, BB 113 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .367 → .223; ISO .188 → .095; BABIP .283 → .163. 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 DSLDSL NYY Bombers · 156 PAwOBA .331 → .210 (−121)K% 21.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.15%	÷1.003	×1.220	—	—	25.73%
BB% (unintentional) /PA	10.90%	÷1.005	×0.700	—	×1.008	7.65%
HBP% /PA	5.77%	—	×0.700	—	×1.008	4.07%
Singles /BIP	18.95%	÷1.008	×0.680	×0.950	×1.008	12.24%
Doubles /BIP	12.63%	÷1.038	×0.600	×0.950	×1.008	6.99%
Triples /BIP	0.00%	÷1.150	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	1.05%	÷1.658	×0.470	—	×1.008	0.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 232, 1B 102, 2B 108, 3B 130, K 101, BB 101 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .331 → .210; ISO .117 → .060; BABIP .312 → .189. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.5	1,675	33	37	213	278	333	+30	+24	2.5	2.4
/162	664	13	15	+11.9	+9.5	1.0	pk7: 2
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1

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
Justin Capellan (OGILVIE)	21	40	45	60	50	198/264/295	96	273	1	2	28%	7%	60	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/249/301	98	294	7	12	32%	5%	54	-2.0	195/248/297	102	288	9	6	34%	6%	53	-2.1	144/199/220	76	199	6	0	30%	5%	17	-1.1
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Jorge Alcantara 2013 · A	21	42	41→45	50	42	200/270/298	98	297	8	11	33%	8%	62	-1.4	192/261/284	92	292	6	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Adan Velazquez 2011 · A	21	40→50	39→45	52→50	41	192/253/281	89	260	5	10	27%	6%	51	-2.2	222/270/312	90	297	7	9	26%	5%	64	-1.3	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Kristopher Negrón 2007 · A	21	43→49	39→45	56→55	44	206/262/290	84	251	6	12	20%	5%	57	-1.8	215/278/300	85	282	6	18	24%	6%	65	-1.2	231/294/333	102	293	8	23	23%	6%	76	-0.4
✕Tyler Goeddel 2014 · A	21	44→52	41→45	59→55	40	211/262/313	103	297	7	20	30%	6%	61	-1.5	227/284/341	114	305	9	18	27%	7%	76	-0.4	229/290/345	116	300	9	18	25%	7%	78	-0.2
✕Nate Easley 2018 · A	22	43	40→45	52→50	45	206/270/300	94	286	7	13	29%	8%	62	-1.4	199/253/294	95	305	7	11	35%	7%	54	-2.0	204/255/312	107	293	8	10	32%	6%	56	-1.2
✕Alex Mooney 2024 · A	22	41→39	39→40	53→55	44	196/263/283	87	261	6	12	26%	6%	56	-1.9	190/263/289	99	265	8	27	30%	7%	58	-1.7	182/255/278	96	255	8	30	30%	7%	51	-1.8
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Avery Owusu-Asiedu 2024 · A	21	43→42	40→45	51→55	44	206/271/299	93	284	7	8	29%	7%	62	-1.4	178/250/283	105	291	11	18	40%	8%	52	-2.2	172/247/296	124	257	15	23	37%	8%	53	-1.5
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	208/268/296	88	312	7	13	34%	7%	60	-1.6	217/259/315	98	317	7	13	32%	5%	61	-1.5	212/252/306	95	305	6	14	31%	5%	53	-1.3
✕Troy Stokes Jr. 2017 · A	21	44→40	39→50	55	45	212/283/303	91	280	6	19	25%	7%	68	-1.0	207/280/342	135	279	13	18	29%	8%	76	-0.4	195/275/337	142	264	15	19	30%	8%	71	-0.6
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Miguel Abreu 2007 · A	22	41→51	43→45	56→55	40	204/251/317	114	269	10	12	28%	5%	59	-1.7	234/253/338	104	268	9	15	16%	2%	63	-1.3	245/260/340	96	276	8	18	14%	1%	63	-1.1
✕Luis De Los Santos 2019 · A	21	40→50	40→45	53→45	35	195/239/284	89	270	7	8	30%	4%	47	-2.6	201/245/304	103	287	9	7	32%	4%	53	-2.1	222/288/333	111	299	11	7	28%	7%	74	-0.3
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Gilbert Gomez 2012 · A	20	40→39	40	52→50	42	194/257/287	92	271	7	14	30%	6%	55	-2.0	204/277/282	78	309	4	8	32%	9%	61	-1.5	194/278/266	72	301	3	7	33%	10%	55	-1.3
✕Luke Williams 2019 · A	22	41→44	38→45	50→65	42	199/251/269	70	259	6	15	25%	5%	47	-2.5	210/270/306	96	280	7	19	26%	7%	63	-1.3	229/291/325	96	311	8	37	27%	7%	74	-0.3

Justin Capellan

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps