Pascual Archila

OF FCL Blue Jays

Age 20 L/L 5'10" / 172 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2414ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTOR	161	.242/.420/.333	2	5	55	—	.163/.312/.209
2025	18	ROKDSL Blue Jays…	232	.246/.437/.351	2	19	54	—	.151/.310/.210
2026	19	ROKTOR	232	.266/.456/.450	7	17	81	—	.189/.325/.321
2027PROJMLE	20	MLBTOR	342	.198/.293/.290	4	7	69	-0.2
2028PROJ34% MLB	21	MLBTOR	58	.204/.299/.307	1	1	74	-0.1
2029PROJ48% MLB	22	MLBTOR	132	.209/.303/.319	2	3	78	-0.1

Next 3 projected WAR -0.4Projected 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

BB%91

wRC+87

wOBA81

ISO79

Chase%73

Speed46

Career WAR0.0 WAR median (P10 0.0 / P90 0.1, comp-based) · star 1% · didn't stick 94%

CompsYohairo Cuevas (age 20) · Jake Fox (age 20) · Jaden Rudd (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 125 proj PA

wRC+†69

AVG/OBP/SLG.196 / .291 / .288

PA125

HR2

K%28

BB%10

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE60

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	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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	17	ROK	DSL Blue Jays	—	161	120	29	5	0	2	29	35	8	5	0	242	420	333	754	92	318	22	18	352	55	—	—	—	—	—	—
2025	18	ROK	DSL Blue Jays Red	—	232	171	42	12	0	2	50	52	8	19	4	246	437	351	788	105	336	22	22	369	54	—	—	—	—	—	—
2026	19	ROK	FCL Blue Jays	—	232	169	45	10	0	7	55	58	4	17	2	266	456	450	906	183	362	25	24	405	81	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Blue Jays	—	161	129	21	3	0	1	20	44	8	5	0	163	312	209	521	47	221	27	12	249	55	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	232	186	28	8	0	1	35	65	8	19	4	151	310	210	520	59	211	28	15	248	54	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	232	190	36	7	0	6	34	84	4	17	2	189	325	321	646	132	286	36	15	288	81	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	161	129	21	3	0	1	20	44	8	5	0	163	312	209	521	47	233	27	12	249	55	—	—	—	—	—	—
2024	17	ROK RAW	DSL Blue Jays	—	161	120	29	5	0	2	29	35	8	5	0	242	420	333	754	92	318	22	18	352	55	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	232	186	28	8	0	1	35	65	8	19	4	151	310	210	520	59	221	28	15	248	54	—	—	—	—	—	—
2025	18	ROK RAW	DSL Blue Jays Red	—	232	171	42	12	0	2	50	52	8	19	4	246	437	351	788	105	336	22	22	369	54	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	232	190	36	7	0	6	34	84	4	17	2	189	325	321	646	132	297	36	15	288	81	—	—	—	—	—	—
2026	19	ROK RAW	FCL Blue Jays	—	232	169	45	10	0	7	55	58	4	17	2	266	456	450	906	183	362	25	24	405	81	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	161	132	21	3	0	1	20	44	8	5	0	159	312	205	517	45	221	27	12	249	55	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	232	187	28	8	0	1	35	65	8	19	4	150	310	209	519	59	211	28	15	248	54	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	232	192	36	7	0	6	34	84	4	17	2	188	325	318	642	130	286	36	15	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Blue Jays	—	161	132	21	3	0	1	20	44	8	5	0	159	312	205	517	45	221	27	12	249	55	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	232	187	28	8	0	1	35	65	8	19	4	150	310	209	519	59	211	28	15	248	54	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	232	192	36	7	0	6	34	84	4	17	2	188	325	318	642	130	286	36	15	288	81	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TOR	0%	342	298	59	11	2	4	36	96	5	7	2	198	293	290	583	92	272	28	11	270	69	-13	+1	+0	-2	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TOR	34%	169	147	31	6	1	3	18	46	2	4	1	203	298	306	605	103	274	27	11	278	74	-5	+0	+0	-1	+4	-0.2
2029	22	MLB MLE	TOR	48%	273	239	49	9	1	5	28	74	4	7	2	208	302	318	620	111	276	27	10	284	78	-7	+1	+0	-2	+6	-0.2
2030	23	MLB MLE	TOR	54%	363	317	68	13	2	7	38	97	5	9	2	211	304	327	632	116	278	27	10	288	81	-8	+1	+0	-2	+8	-0.1
2031	24	MLB MLE	TOR	55%	421	369	79	15	2	8	43	111	6	10	3	214	306	334	640	120	279	26	10	292	83	-8	+1	+0	-3	+9	-0.1
2032	25	MLB MLE	TOR	60%	453	398	85	16	2	9	46	118	6	11	3	216	307	338	646	122	280	26	10	294	85	-8	+1	+0	-3	+10	-0.0
2033	26	MLB MLE	TOR	62%	470	413	89	17	2	10	48	123	6	11	3	216	307	338	645	122	279	26	10	293	85	-9	+1	+0	-3	+10	-0.0
2034	27	MLB MLE	TOR	63%	476	418	90	17	2	10	49	125	6	11	3	214	306	335	641	121	279	26	10	292	84	-9	+1	+0	-3	+10	-0.1
2035	28	MLB MLE	TOR	65%	474	417	88	17	2	9	48	126	6	10	3	213	304	330	634	118	278	27	10	289	82	-10	+1	-1	-3	+10	-0.3
2036	29	MLB MLE	TOR	65%	465	409	86	16	2	9	47	125	6	9	3	210	301	324	625	114	276	27	10	285	79	-11	+1	-1	-3	+10	-0.5
2028	21	MLB CTX	TOR	34%	58	51	10	2	0	1	6	16	1	1	0	204	299	307	606	103	275	28	10	279	74	-2	+0	+0	-0	+1	-0.1
2029	22	MLB CTX	TOR	48%	132	115	25	5	1	2	14	36	2	3	1	209	303	319	622	111	277	27	11	285	78	-3	+0	+0	-1	+3	-0.1
2030	23	MLB CTX	TOR	54%	197	172	37	7	1	4	20	53	3	5	1	212	305	328	633	116	279	27	10	289	81	-4	+1	+0	-1	+4	-0.1
2031	24	MLB CTX	TOR	55%	233	204	44	8	1	5	24	61	3	6	1	215	307	335	642	120	280	26	10	292	83	-5	+1	+0	-1	+5	-0.0
2032	25	MLB CTX	TOR	60%	271	237	52	10	1	6	28	71	4	7	2	217	308	339	647	123	281	26	10	294	85	-5	+1	+0	-2	+6	-0.0
2033	26	MLB CTX	TOR	62%	292	256	55	10	1	6	30	76	4	7	2	216	308	339	647	122	281	26	10	294	85	-5	+1	+0	-2	+6	-0.0
2034	27	MLB CTX	TOR	63%	301	263	57	11	1	6	31	79	4	7	2	215	307	336	643	121	280	26	10	293	84	-6	+1	+0	-2	+7	-0.1
2035	28	MLB CTX	TOR	65%	308	269	57	11	1	6	32	82	4	7	2	213	305	331	636	118	279	27	10	290	82	-7	+1	-0	-2	+7	-0.2
2036	29	MLB CTX	TOR	65%	302	264	55	10	1	6	31	81	4	6	2	211	302	325	626	114	277	27	10	286	79	-7	+0	-1	-2	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2094	1831	392	74	8	42	216	555	29	49	13	214	307	332	639	118	281	27	10	290	79	-44	+5	-1	-13	+45	-0.8
/ 162G	—	A+C		—	650	568	121	23	2	13	67	172	9	15	4	213	305	329	635	116	280	26	10	290	79	-14	+1	-0	-4	+14	-0.3
Career	—	MLE		—	4314	3741	772	148	17	80	467	1173	69	126	30	206	306	319	625	113	276	27	11	285	79	-81	+7	-2	-22	+80	-1.8
/ 162G	—	MLE		—	650	564	116	22	3	12	70	177	10	19	5	206	304	319	623	113	275	27	11	285	79	-14	+1	-0	-4	+14	-0.3

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 Blue Jays · 232 PAwOBA .397 → .288 (−109)K% 25.0% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.000	×1.440	—	—	36.00%
BB% (unintentional) /PA	23.28%	÷1.000	×0.620	—	×1.008	14.54%
HBP% /PA	1.72%	—	×0.720	—	×1.008	1.25%
Singles /BIP	25.23%	÷1.000	×0.820	×1.003	×1.008	20.90%
Doubles /BIP	9.01%	÷1.000	×0.720	×1.003	×1.008	6.55%
Triples /BIP	0.00%	÷1.000	×0.720	×1.003	×1.008	0.00%
Home runs /BIP	6.31%	÷1.000	×0.780	—	×1.008	4.96%

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 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 ×1.003.

Result: wOBA .397 → .288; ISO .183 → .142; BABIP .362 → .286. 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 Blue Jays Red · 232 PAwOBA .365 → .248 (−117)K% 22.4% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.41%	÷0.980	×1.220	—	—	27.92%
BB% (unintentional) /PA	21.55%	÷0.994	×0.700	—	×1.008	15.29%
HBP% /PA	3.45%	—	×0.700	—	×1.008	2.43%
Singles /BIP	23.53%	÷1.002	×0.680	×0.950	×1.008	15.29%
Doubles /BIP	10.08%	÷0.970	×0.600	×0.950	×1.008	5.97%
Triples /BIP	0.00%	÷1.017	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	1.68%	÷0.957	×0.470	—	×1.008	0.83%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 103, K 96, BB 99 — 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 .365 → .248; ISO .105 → .062; BABIP .336 → .211. 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 Blue Jays · 161 PAwOBA .348 → .249 (−99)K% 21.7% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷0.973	×1.220	—	—	27.27%
BB% (unintentional) /PA	18.01%	÷1.015	×0.700	—	×1.022	12.70%
HBP% /PA	4.97%	—	×0.700	—	×1.022	3.56%
Singles /BIP	25.88%	÷0.958	×0.680	×0.990	×1.022	18.60%
Doubles /BIP	5.88%	÷0.964	×0.600	×0.990	×1.022	3.71%
Triples /BIP	0.00%	÷0.900	×0.600	×0.990	×1.022	0.00%
Home runs /BIP	2.35%	÷0.892	×0.470	—	×1.022	1.27%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 92, 2B 93, 3B 80, K 95, BB 103 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .348 → .249; ISO .092 → .057; BABIP .318 → .221. 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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,219	43	51	213	302	330	-13	+0	0.4	0.6
/162	664	13	15	-4.0	+0.0	0.1	pk7: 1
#6Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	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
Pascual Archila (OGILVIE)	20	35	25	60	60	196/291/288	91	272	2	3	28%	10%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yohairo Cuevas 2024 · A	20	39→38	40	53→50	46	189/269/285	96	280	8	13	33%	9%	59	-1.6	194/280/279	85	302	5	15	34%	10%	62	-1.4	185/278/271	86	290	5	16	34%	10%	58	-1.1
✕Jake Fox 2023 · A	20	46→44	39→40	55→50	52	216/312/311	95	298	6	15	27%	11%	81	-0.1	202/278/301	99	278	7	11	27%	9%	65	-1.2	203/291/297	94	273	5	13	25%	11%	68	-0.5
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	187/279/277	90	259	6	12	28%	9%	61	-1.5	182/288/248	66	288	3	14	34%	10%	59	-1.6	160/281/212	51	264	2	16	35%	11%	47	-1.3
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Yeniel Laboy 2024 · A	20	43	37→30	52→45	47	200/283/268	68	287	5	8	29%	9%	61	-1.5	199/274/263	64	285	4	7	29%	8%	55	-1.9	166/248/183	18	241	0	3	28%	9%	26	-1.3
✕Robert Gonzalez 2021 · A	20	40	39→40	54→60	52	186/296/275	89	275	5	8	30%	12%	68	-1.0	190/293/264	74	252	5	17	24%	10%	64	-1.3	151/292/187	36	182	3	30	16%	14%	48	-0.8
✕Victor Arias 2024 · A	20	41→50	40→45	55→50	48	193/289/289	97	300	7	16	35%	11%	68	-1.0	227/296/340	113	318	9	15	29%	8%	81	-0.1	226/289/343	117	310	10	15	29%	7%	76	-0.3
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Isaiah Greene 2023 · A	21	45→42	38→40	57→55	54	200/309/280	81	312	4	20	33%	13%	74	-0.6	189/275/277	88	311	6	17	37%	10%	59	-1.6	148/229/229	81	253	5	17	40%	10%	29	-1.0
✕Darryl Collins 2022 · A	20	45	38→40	50→45	51	212/292/289	77	265	5	11	21%	9%	68	-1.0	209/287/289	80	273	4	11	23%	9%	66	-1.1	198/286/277	79	269	1	9	24%	11%	64	-0.7
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Brian Sanchez 2024 · A	20	43→42	36→50	50→55	50	202/282/280	78	270	2	12	24%	9%	62	-1.4	211/280/327	116	302	8	17	30%	8%	72	-0.7	209/280/344	135	298	11	18	31%	8%	74	-0.3
✕Angel Guzman 2024 · A	18	39	39→45	51→55	51	190/275/281	91	246	6	9	24%	9%	61	-1.5	193/294/290	97	272	8	10	29%	11%	70	-0.8	182/294/282	100	260	9	9	30%	12%	65	-0.4
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Juan Silva 2011 · A	20	40→47	39→45	52→55	40	191/250/286	95	296	5	8	35%	7%	51	-2.2	213/284/313	100	312	8	13	32%	9%	70	-0.8	231/313/335	104	314	8	29	27%	10%	85	+0.1
✕Rafael Ramirez Jr. 2024 · A	19	39	39→40	51→45	52	184/289/271	87	279	5	10	32%	12%	64	-1.3	183/279/280	97	312	6	8	38%	11%	62	-1.4	181/284/294	113	294	8	6	37%	12%	65	-0.6
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕William Beckwith 2011 · A	20	43→44	41→50	52→50	47	211/282/312	101	273	9	9	25%	8%	70	-0.8	217/282/362	145	287	16	10	29%	6%	82	-0.0	210/276/362	152	278	19	11	31%	6%	78	-0.1
✕Luis Valenzuela 2014 · A	20	40	37→45	53→45	47	191/248/264	73	236	4	9	20%	7%	45	-2.7	228/257/313	85	294	5	8	23%	4%	59	-1.7	263/285/365	102	319	5	7	19%	2%	78	-0.1

Pascual Archila

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps