Jarol Capellan

SS DSL Orioles Orange

Age 21 L/R 5'11" / 176 lbs ROK HR +30%H +12% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1196ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKCOL	140	.279/.420/.333	0	2	55	—	.198/.326/.233
2025	19	ROKDSL Colorado	112	.228/.366/.348	1	2	31	—	.143/.250/.194
2026	20	ROKDSL Orioles O…	140	.264/.364/.372	1	8	36	—	.169/.264/.218
2027PROJMLE	21	MLBCOL	250	.222/.291/.305	2	4	70	0.0
2028PROJ34% MLB	22	MLBCOL	42	.237/.305/.343	1	1	75	0.0
2029PROJ48% MLB	23	MLBCOL	97	.240/.309/.355	1	2	79	0.1

Next 3 projected WAR 0.1Projected 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

K%92

Z-Con%88

Whiff%75

ISO45

wOBA44

Speed44

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsRaynel Delgado (age 21) · Danny Woodrow (age 22) · Logan Watkins (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 73 proj PA

wRC+†70

AVG/OBP/SLG.220 / .288 / .303

PA73

HR1

K%25

BB%7

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Tools · ContractCON 61 / POW 35

Toolsscout grade

CONTACT61

scouting grade only

POWER35

scouting grade only

EYE51

scouting grade only

SPEED55

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$0.6M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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)
2024	18	ROK	DSL Rockies	—	140	111	31	6	0	0	15	22	12	2	1	279	420	333	754	54	344	16	11	354	55	—	—	—	—	—	—
2025	19	ROK	DSL Colorado	—	112	92	21	4	2	1	16	24	4	2	1	228	366	348	714	120	299	21	14	332	31	—	—	—	—	—	—
2026	20	ROK	DSL Orioles Orange	—	140	121	32	10	0	1	11	16	8	8	2	264	364	372	736	107	298	11	8	339	36	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	DSL Rockies	—	140	116	23	4	0	0	10	27	12	2	1	198	326	233	559	34	242	19	7	250	55	—	—	—	—	—	—
2025	19	ROK MLE	DSL Colorado	—	112	98	14	3	1	0	10	29	4	2	1	143	250	194	444	51	198	26	9	214	31	—	—	—	—	—	—
2026	20	ROK MLE	DSL Orioles Orange	—	140	124	21	6	0	0	8	19	8	8	2	169	264	218	482	48	197	14	6	221	36	—	—	—	—	—	—
2024	18	ROK MLE	DSL Rockies	—	140	116	23	4	0	0	10	27	12	2	1	198	326	233	559	34	256	19	7	250	55	—	—	—	—	—	—
2024	18	ROK RAW	DSL Rockies	—	140	111	31	6	0	0	15	22	12	2	1	279	420	333	754	54	344	16	11	354	55	—	—	—	—	—	—
2025	19	ROK MLE	DSL Colorado	—	112	98	14	3	1	0	10	29	4	2	1	143	250	194	444	51	203	26	9	214	31	—	—	—	—	—	—
2025	19	ROK RAW	DSL Colorado	—	112	92	21	4	2	1	16	24	4	2	1	228	366	348	714	120	299	21	14	332	31	—	—	—	—	—	—
2026	20	ROK MLE	DSL Orioles Orange	—	140	124	21	6	0	0	8	19	8	8	2	169	264	218	482	48	200	14	6	221	36	—	—	—	—	—	—
2026	20	ROK RAW	DSL Orioles Orange	—	140	121	32	10	0	1	11	16	8	8	2	264	364	372	736	107	298	11	8	339	36	—	—	—	—	—	—
2024	18	ROK MLE	DSL Rockies	—	140	117	23	4	0	0	10	27	12	2	1	197	326	231	557	34	242	19	7	250	55	—	—	—	—	—	—
2025	19	ROK MLE	DSL Colorado	—	112	97	14	3	1	0	10	29	4	2	1	144	250	196	446	52	198	26	9	214	31	—	—	—	—	—	—
2026	20	ROK MLE	DSL Orioles Orange	—	140	123	21	6	0	0	8	19	8	8	2	171	264	220	484	49	197	14	6	221	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Rockies	—	140	117	23	4	0	0	10	27	12	2	1	197	326	231	557	34	242	19	7	250	55	—	—	—	—	—	—
2025	19	ROK MLE	DSL Colorado	—	112	97	14	3	1	0	10	29	4	2	1	144	250	196	446	52	198	26	9	214	31	—	—	—	—	—	—
2026	20	ROK MLE	DSL Orioles Orange	—	140	123	21	6	0	0	8	19	8	8	2	171	264	220	484	49	197	14	6	221	36	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	COL	0%	250	226	50	9	2	2	17	62	5	4	1	222	291	305	596	84	293	25	7	272	70	-9	+0	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	COL	34%	122	111	25	5	1	1	8	30	2	2	1	225	295	319	613	93	294	25	7	279	75	-4	+0	+0	+1	+3	0.0
2029	23	MLB MLE	COL	48%	201	181	42	8	1	3	14	49	4	4	1	228	298	329	627	101	295	24	7	284	79	-5	+0	+0	+2	+4	0.2
2030	24	MLB MLE	COL	53%	286	258	59	11	2	4	20	69	6	6	2	231	300	338	638	107	296	24	7	289	82	-6	+0	+0	+3	+6	0.3
2031	25	MLB MLE	COL	55%	346	311	72	13	2	6	25	83	7	7	2	232	302	344	646	112	296	24	7	292	84	-7	+1	+0	+4	+7	0.5
2032	26	MLB MLE	COL	56%	380	343	80	15	2	7	27	91	7	8	3	233	303	348	652	115	295	24	7	294	85	-7	+0	+0	+4	+8	0.6
2033	27	MLB MLE	COL	55%	394	355	83	15	3	7	29	95	7	8	3	232	302	346	648	114	295	24	7	292	84	-7	+0	+0	+4	+9	0.6
2034	28	MLB MLE	COL	55%	399	360	84	15	3	7	29	97	7	8	3	230	300	342	642	111	294	24	7	290	82	-8	+0	-1	+4	+9	0.4
2035	29	MLB MLE	COL	53%	393	355	81	15	2	6	28	97	7	7	3	228	298	336	634	108	293	25	7	287	80	-9	+0	-1	+4	+9	0.2
2036	30	MLB MLE	COL	53%	385	348	78	14	2	6	27	96	7	6	3	225	295	328	623	103	292	25	7	282	77	-10	+0	-2	+4	+8	-0.0
2028	22	MLB CTX	COL	34%	42	38	9	2	0	1	3	10	1	1	0	237	305	343	649	106	309	24	7	293	75	-1	+0	+0	+0	+1	0.0
2029	23	MLB CTX	COL	48%	97	88	21	4	1	1	7	24	2	2	1	240	309	355	664	115	310	25	7	299	79	-2	+0	+0	+1	+2	0.1
2030	24	MLB CTX	COL	53%	151	136	33	6	1	3	11	36	3	3	1	243	312	365	676	122	311	24	7	304	82	-3	+0	+0	+2	+3	0.2
2031	25	MLB CTX	COL	55%	189	169	42	8	2	3	14	45	4	4	1	244	313	371	685	127	310	24	7	307	84	-4	+0	+0	+2	+4	0.3
2032	26	MLB CTX	COL	56%	212	191	46	8	2	4	15	51	4	4	1	245	314	376	691	131	310	24	7	309	85	-4	+0	+0	+2	+5	0.4
2033	27	MLB CTX	COL	55%	217	195	48	9	2	4	16	52	4	5	1	244	313	373	687	129	310	24	7	308	84	-4	+1	+0	+2	+5	0.4
2034	28	MLB CTX	COL	55%	218	196	48	9	2	4	16	53	4	4	1	243	311	368	680	126	309	24	7	305	82	-5	+0	-0	+2	+5	0.3
2035	29	MLB CTX	COL	53%	210	189	46	8	2	4	15	52	4	4	1	240	309	362	670	122	308	25	7	301	80	-5	+0	-1	+2	+5	0.2
2036	30	MLB CTX	COL	53%	202	183	43	8	2	3	14	50	3	3	2	237	305	353	659	116	306	25	7	296	77	-5	-0	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1538	1385	336	62	14	27	111	373	29	30	9	243	312	366	678	123	311	24	7	304	77	-34	+2	-2	+16	+33	1.7
/ 162G	—	A+C		—	650	585	141	26	6	11	47	158	12	13	4	241	311	362	673	121	310	24	7	304	77	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	3371	3026	678	127	20	48	240	800	80	69	25	224	298	327	625	103	287	24	7	281	77	-67	+3	-4	+32	+65	2.9
/ 162G	—	MLE		—	650	583	130	24	4	9	46	154	15	13	5	223	296	324	620	101	286	24	7	281	77	-15	+1	-1	+7	+14	0.6

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 DSLDSL Orioles Orange · 140 PAwOBA .331 → .221 (−110)K% 11.4% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.43%	÷1.000	×1.220	—	—	13.94%
BB% (unintentional) /PA	7.86%	÷1.000	×0.700	—	×0.985	5.42%
HBP% /PA	5.71%	—	×0.700	—	×0.985	3.94%
Singles /BIP	20.00%	÷1.000	×0.680	×1.029	×0.985	13.79%
Doubles /BIP	9.52%	÷1.000	×0.600	×1.029	×0.985	5.79%
Triples /BIP	0.00%	÷1.000	×0.600	×1.029	×0.985	0.00%
Home runs /BIP	0.95%	÷1.000	×0.470	—	×0.985	0.44%

Factors used: level-wide DSL 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 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .331 → .221; ISO .107 → .063; BABIP .298 → .197. 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 Colorado · 112 PAwOBA .321 → .214 (−107)K% 21.4% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.016	×1.220	—	—	25.73%
BB% (unintentional) /PA	13.39%	÷1.026	×0.700	—	×0.995	9.09%
HBP% /PA	3.57%	—	×0.700	—	×0.995	2.49%
Singles /BIP	20.59%	÷1.008	×0.680	×1.032	×0.995	14.27%
Doubles /BIP	5.88%	÷1.011	×0.600	×1.032	×0.995	3.58%
Triples /BIP	2.94%	÷1.011	×0.600	×1.032	×0.995	1.79%
Home runs /BIP	1.47%	÷1.163	×0.470	—	×0.995	0.59%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 102, 2B 102, 3B 102, K 103, BB 105 — 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 ×1.032.

Result: wOBA .321 → .214; ISO .120 → .068; BABIP .299 → .198. 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 Rockies · 140 PAwOBA .349 → .250 (−99)K% 15.7% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.71%	÷1.001	×1.220	—	—	19.16%
BB% (unintentional) /PA	10.71%	÷1.099	×0.700	—	×1.008	6.87%
HBP% /PA	8.57%	—	×0.700	—	×1.008	6.04%
Singles /BIP	28.09%	÷1.006	×0.680	×1.050	×1.008	20.09%
Doubles /BIP	6.74%	÷0.977	×0.600	×1.050	×1.008	4.38%
Triples /BIP	0.00%	÷0.900	×0.600	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷1.188	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 101, 2B 95, 3B 80, K 100, BB 120 — 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 ×1.050.

Result: wOBA .349 → .250; ISO .054 → .038; BABIP .344 → .242. 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
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.4	1,611	25	31	231	297	339	+17	+18	2.7	2.6
/162	664	10	13	+7.1	+7.4	1.1	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Jarol Capellan (OGILVIE)	21	56→61	30→35	50→55	51	220/288/303	83	293	1	1	25%	7%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Raynel Delgado 2021 · A	21	47→56	37→40	50→60	42	220/272/295	75	312	4	9	30%	7%	61	-1.5	203/267/292	89	295	7	14	31%	7%	59	-1.6	246/311/338	92	338	7	32	27%	8%	82	+0.0
✕Danny Woodrow 2017 · A	22	49→59	37→30	53→55	45	226/289/308	82	313	3	11	27%	8%	71	-0.8	242/293/301	59	325	2	19	24%	6%	70	-0.9	254/301/314	60	340	2	23	25%	6%	73	-0.3
✕Logan Watkins 2011 · A	21	51→54	36→45	51→55	46	233/295/305	72	317	2	11	26%	8%	72	-0.7	235/299/331	96	313	5	15	25%	8%	80	-0.2	232/301/333	101	306	6	16	24%	8%	78	-0.3
✕Carlos Rodríguez 2022 · A	21	49→59	36→40	50→55	44	227/280/296	68	311	2	14	26%	7%	64	-1.3	245/301/329	84	310	4	15	21%	7%	80	-0.2	265/323/349	84	315	3	16	16%	7%	89	+0.3
✕Charlie Tilson 2014 · A	21	54→60	38→40	52→55	42	257/293/338	80	317	6	11	21%	5%	78	-0.3	259/298/348	89	324	6	18	21%	5%	82	+0.0	266/308/358	92	328	5	22	20%	5%	85	+0.2
✕Eliezer Álvarez 2016 · A	21	48→58	40→45	51→55	41	230/268/333	104	285	5	10	21%	4%	68	-1.0	240/294/349	109	333	7	19	28%	6%	82	-0.0	230/288/344	114	329	8	23	30%	6%	77	-0.2
✕DaShawn Keirsey Jr. 2019 · A	22	47→54	37→45	52→60	43	220/271/302	82	299	3	8	26%	6%	62	-1.4	181/247/263	82	287	6	9	36%	8%	45	-2.7	246/299/362	116	336	10	36	28%	6%	84	+0.1
✕Brent Keys 2011 · A	21	48→58	35→30	49→50	51	225/292/282	57	274	2	12	18%	8%	66	-1.1	256/314/322	66	306	3	13	16%	7%	83	+0.1	282/343/338	56	313	2	12	10%	8%	94	+0.6
✕Matt Cerda 2011 · A	21	50→56	39→40	51→40	51	237/301/327	90	286	5	4	18%	8%	80	-0.2	238/321/314	76	304	3	5	20%	11%	84	+0.2	238/331/301	63	307	2	5	21%	12%	83	+0.1
✕Tim Lopes 2015 · A	21	47→57	37→45	51→55	43	223/270/300	77	284	3	12	22%	6%	61	-1.5	249/300/328	79	321	3	19	22%	6%	79	-0.2	267/317/348	81	330	3	20	19%	6%	87	+0.3
✕Zack Granite 2014 · A	21	48→58	34→40	50→60	49	224/276/279	55	262	1	11	15%	6%	59	-1.7	236/285/297	61	283	2	19	16%	6%	66	-1.1	266/314/342	76	305	3	30	13%	6%	83	+0.1
✕Miles Mastrobuoni 2018 · A	22	46→56	37→45	49→60	48	220/278/292	73	277	5	13	22%	8%	63	-1.4	239/298/310	71	316	4	12	24%	8%	74	-0.5	253/317/360	108	325	8	21	23%	8%	89	+0.4
✕Kean Wong 2016 · A	21	56→63	35→45	48→55	42	261/297/322	61	332	2	11	22%	5%	76	-0.4	252/293/333	81	319	5	12	22%	5%	77	-0.3	262/307/372	111	343	9	9	25%	5%	89	+0.4
✕Edgar Rondon 2016 · A	21	46	37→40	52→50	48	213/291/294	80	278	3	12	23%	8%	69	-0.9	206/275/275	69	326	3	10	34%	7%	59	-1.7	169/246/196	27	334	0	12	45%	7%	28	-0.7
✕Jonathan Herrera 2006 · A	21	50→59	36→40	47→55	44	237/284/301	64	292	4	12	20%	5%	67	-1.1	256/304/336	80	303	5	18	16%	6%	82	+0.0	264/313/343	78	309	5	20	15%	6%	84	+0.1
✕Nick Allen 2021 · A	22	46→56	38→40	52→50	44	219/270/303	84	277	4	14	22%	6%	62	-1.4	232/283/326	94	288	8	14	21%	6%	72	-0.7	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Livan Soto 2021 · A	21	43→53	35→40	46→50	48	203/262/259	56	253	3	8	20%	7%	49	-2.4	215/278/306	91	295	7	11	27%	8%	66	-1.1	246/319/331	85	322	6	8	24%	9%	86	+0.2
✕Ian Miller 2014 · A	22	48→58	36→40	48→60	43	225/280/287	62	298	4	15	25%	6%	62	-1.4	237/281/297	60	307	1	28	22%	6%	64	-1.3	243/292/329	86	310	6	35	22%	5%	74	-0.5
✕Wyatt Young 2022 · A	22	50→58	37→40	48→50	41	229/278/305	76	331	3	9	30%	6%	65	-1.2	236/303/315	79	316	5	10	25%	8%	78	-0.3	237/308/307	71	314	5	12	24%	9%	75	-0.4
✕Carlos Luis 2021 · A	21	44→53	36→45	48→40	40	207/260/276	69	305	4	6	32%	6%	52	-2.2	224/273/313	89	310	6	3	28%	6%	65	-1.2	228/276/319	91	305	7	1	27%	6%	66	-0.6

Jarol Capellan

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps