Justin DeCriscio

SS Fort Wayne TinCaps

Age 24 R/R 5'10" / 160 lbs A+ HR +5% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1037ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ASD	49	.190/.292/.286	1	2	34	—	.186/.271/.279
2026	23	AA/A+/A/INTL2 orgs	590	.270/.362/.435	16	26	86	—	.237/.312/.361
2027PROJMLE	24	MLBSD	1	.223/.290/.342	0	0	81	0.0
2028PROJ38% MLB	25	MLBSD	99	.224/.293/.346	2	2	83	0.1
2029PROJ55% MLB	26	MLBSD	169	.225/.294/.349	4	3	84	0.3

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 AA

Z-Con%82

Whiff%80

K%66

wRC+59

wOBA53

Speed32

Career WAR0.0 WAR median (P10 0.0 / P90 0.1, comp-based) · star 1% · didn't stick 96%

CompsCorey Toups (age 24) · Jonathan Ornelas (age 24) · Ryan McKenna (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†81

AVG/OBP/SLG.223 / .290 / .342

PA1

HR0

K%24

BB%6

BABIP279

ISO121

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 54 / POW 41

Toolsscout grade

CONTACT54

scouting grade only

POWER41

scouting grade only

EYE43

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.9M	+$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)
2025	22	A	Lake Elsinore Storm	—	49	42	8	1	0	1	5	6	1	2	0	190	292	286	577	95	200	12	10	266	34	—	—	—	—	—	—
2026	23	AA	San Antonio Missions	—	83	70	18	3	0	1	7	18	5	4	1	257	366	343	709	86	333	22	8	327	72	—	—	—	—	—	—
2026	23	A+	Fort Wayne TinCaps	—	341	290	75	13	1	9	33	53	11	13	7	259	356	403	760	145	288	16	10	338	75	—	—	—	—	—	—
2026	23	A	Lake Elsinore Storm	—	117	103	32	13	1	3	7	14	2	5	3	311	366	544	910	233	333	12	6	380	95	—	—	—	—	—	—
2026	23	INTL	Peoria Javelinas	—	49	41	11	2	0	3	7	12	1	4	3	268	388	537	924	268	308	24	14	405	160	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Lake Elsinore Storm	—	49	43	8	1	0	1	4	9	1	2	0	186	271	279	550	93	181	18	8	218	34	—	—	—	—	—	—
2026	23	AA MLE	San Antonio Missions	—	83	72	17	3	0	1	5	22	5	4	1	236	329	319	649	83	304	27	6	275	72	—	—	—	—	—	—
2026	23	A+ MLE	Fort Wayne TinCaps	—	341	299	68	11	1	7	24	67	11	13	7	227	308	341	650	114	257	20	7	279	75	—	—	—	—	—	—
2026	23	A MLE	Lake Elsinore Storm	—	117	105	28	11	1	2	5	19	2	5	3	267	312	448	760	181	278	16	4	309	95	—	—	—	—	—	—
2025	22	A MLE	Lake Elsinore Storm	—	49	43	8	1	0	1	4	9	1	2	0	186	271	279	550	93	212	18	8	218	34	—	—	—	—	—	—
2025	22	A RAW	Lake Elsinore Storm	—	49	42	8	1	0	1	5	6	1	2	0	190	292	286	577	95	200	12	10	266	34	—	—	—	—	—	—
2026	23	A+ MLE	4 teams	—	590	522	122	26	2	12	36	118	19	26	14	234	307	360	667	126	279	20	6	285	79	—	—	—	—	—	—
2026	23	A+ RAW	4 teams	—	590	504	136	31	2	16	54	97	19	26	14	270	362	435	797	165	305	16	9	350	79	—	—	—	—	—	—
2025	22	A MLE	Lake Elsinore Storm	—	49	44	8	1	0	1	4	9	1	2	0	182	271	273	544	91	181	18	8	218	34	—	—	—	—	—	—
2026	23	A+ MLE	4 teams	—	590	530	122	26	2	12	36	118	19	26	14	230	307	355	661	125	269	20	6	285	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	Lake Elsinore Storm	—	49	44	8	1	0	1	4	9	1	2	0	182	271	273	544	91	181	18	8	218	34	—	—	—	—	—	—
2026	23	A+ MLE	4 teams	—	590	530	122	26	2	12	36	118	19	26	14	230	307	355	661	125	269	20	6	285	79	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	SD	0%	380	344	78	15	2	8	24	92	9	8	3	226	294	347	640	120	285	24	6	289	81	-8	+0	+0	+4	+8	0.4
▸ 2027 — real world (MLB)
2027	24	MLB CTX	SD	0%	1	1	0	0	0	0	0	0	0	0	0	223	290	342	632	119	279	0	0	285	81	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	SD	38%	260	235	53	11	1	5	17	63	6	6	2	228	296	351	647	124	285	24	7	291	83	-5	+0	+0	+3	+6	0.4
2029	26	MLB MLE	SD	55%	305	275	62	12	1	6	20	73	7	6	2	229	297	354	651	125	285	24	7	293	84	-6	+0	+0	+3	+7	0.5
2030	27	MLB MLE	SD	61%	321	289	66	13	1	7	22	77	7	6	3	229	297	354	652	126	285	24	7	293	85	-6	+0	+0	+3	+7	0.5
2031	28	MLB MLE	SD	65%	328	296	67	13	1	7	22	79	7	6	3	228	297	353	649	125	285	24	7	292	84	-6	+0	-1	+4	+7	0.4
2032	29	MLB MLE	SD	64%	321	290	66	13	1	7	22	78	6	5	3	227	295	350	645	123	284	24	7	290	83	-7	-0	-1	+3	+7	0.2
2033	30	MLB MLE	SD	64%	314	284	64	13	1	6	21	78	6	5	3	224	292	342	634	119	283	25	7	286	80	-8	-0	-2	+3	+7	0.0
2028	25	MLB CTX	SD	38%	99	91	20	4	0	2	6	24	2	2	1	224	293	346	639	122	279	24	6	288	83	-2	+0	+0	+1	+2	0.1
2029	26	MLB CTX	SD	55%	169	152	35	6	1	4	11	41	4	3	1	225	294	349	643	124	279	24	7	289	84	-3	+0	+0	+2	+4	0.3
2030	27	MLB CTX	SD	61%	197	178	40	8	1	4	13	47	4	4	2	225	294	349	643	124	279	24	7	290	85	-4	+0	+0	+2	+4	0.3
2031	28	MLB CTX	SD	65%	212	192	43	8	1	5	14	51	4	4	2	224	293	348	641	124	279	24	7	289	84	-4	+0	-0	+2	+5	0.2
2032	29	MLB CTX	SD	64%	207	187	42	8	1	4	14	50	4	3	2	223	292	345	637	122	278	24	7	287	83	-4	-0	-1	+2	+4	0.1
2033	30	MLB CTX	SD	64%	202	182	41	8	1	4	14	50	4	3	2	220	289	337	626	117	277	25	7	283	80	-5	-0	-1	+2	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1086	982	221	42	5	23	72	263	22	19	10	225	293	348	641	123	282	24	7	287	81	-22	-0	-3	+12	+24	1.0
/ 162G	—	A+C		—	650	588	132	25	3	14	43	157	13	11	6	224	292	349	641	124	281	24	7	287	81	-13	-0	-2	+7	+14	0.6
Career	—	MLE		—	2698	2424	551	111	9	55	177	626	64	67	32	227	297	349	646	121	282	23	7	288	81	-42	+1	-4	+22	+45	2.2
/ 162G	—	MLE		—	650	584	133	27	2	13	43	151	15	16	8	228	298	348	645	120	284	23	7	288	81	-13	+0	-1	+7	+14	0.7

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 A+Fort Wayne TinCaps · 341 PAwOBA .330 → .279 (−51)K% 15.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.54%	÷1.000	×1.270	—	—	19.74%
BB% (unintentional) /PA	9.68%	÷1.000	×0.710	—	×0.998	6.86%
HBP% /PA	3.23%	—	×0.790	—	×0.998	2.54%
Singles /BIP	21.94%	÷1.000	×0.920	×1.005	×0.998	20.25%
Doubles /BIP	5.49%	÷1.000	×0.810	×1.005	×0.998	4.46%
Triples /BIP	0.42%	÷1.000	×0.850	×1.005	×0.998	0.36%
Home runs /BIP	3.80%	÷1.000	×0.800	—	×0.998	3.03%

Factors used: league row Midwest 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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .330 → .279; ISO .145 → .119; BABIP .288 → .257. 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 ALake Elsinore Storm · 117 PAwOBA .373 → .309 (−64)K% 12.0% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.97%	÷1.000	×1.360	—	—	16.27%
BB% (unintentional) /PA	5.98%	÷1.000	×0.690	—	×0.990	4.09%
HBP% /PA	1.71%	—	×0.780	—	×0.990	1.32%
Singles /BIP	16.85%	÷1.000	×0.920	×0.964	×0.990	14.80%
Doubles /BIP	14.61%	÷1.000	×0.830	×0.964	×0.990	11.57%
Triples /BIP	1.12%	÷1.000	×0.910	×0.964	×0.990	0.98%
Home runs /BIP	3.37%	÷1.000	×0.800	—	×0.990	2.67%

Factors used: level-wide A 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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .373 → .309; ISO .233 → .192; BABIP .333 → .278. 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 AASan Antonio Missions · 83 PAwOBA .319 → .275 (−44)K% 21.7% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.69%	÷1.000	×1.220	—	—	26.46%
BB% (unintentional) /PA	8.43%	÷1.000	×0.700	—	×1.027	6.06%
HBP% /PA	6.02%	—	×0.870	—	×1.027	5.38%
Singles /BIP	26.92%	÷1.000	×0.920	×0.983	×1.027	25.00%
Doubles /BIP	5.77%	÷1.000	×0.840	×0.983	×1.027	4.89%
Triples /BIP	0.00%	÷1.000	×0.940	×0.983	×1.027	0.00%
Home runs /BIP	1.92%	÷1.000	×0.800	—	×1.027	1.58%

Factors used: league row TL. 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 ×0.983.

Result: wOBA .319 → .275; ISO .086 → .071; BABIP .333 → .304. 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 ALake Elsinore Storm · 49 PAwOBA .259 → .218 (−41)K% 12.2% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.24%	÷0.956	×1.360	—	—	17.42%
BB% (unintentional) /PA	10.20%	÷0.952	×0.690	—	—	7.40%
HBP% /PA	2.04%	—	×0.780	—	—	1.59%
Singles /BIP	16.67%	÷0.989	×0.920	—	—	15.51%
Doubles /BIP	2.78%	÷1.062	×0.830	—	—	2.17%
Triples /BIP	0.00%	÷1.150	×0.910	—	—	0.00%
Home runs /BIP	2.78%	÷0.936	×0.800	—	—	2.37%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 98, 2B 112, 3B 130, K 91, BB 90 — 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).

Result: wOBA .259 → .218; ISO .095 → .080; BABIP .200 → .181. 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
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff 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
#3Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#4Gene 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
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Tim 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 3 projected seasons	1.6	1,087	23	20	228	293	352	+12	+9	2.0	2.0
/162	664	14	12	+7.1	+5.5	1.2	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
Justin DeCriscio (OGILVIE)	24	54	41	53	43	224/291/344	119	285	4	5	24%	6%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Corey Toups 2017 · AA	24	47→50	44→45	56→50	43	228/290/353	125	303	9	17	27%	7%	82	-0.0	210/272/316	106	316	9	15	34%	7%	67	-1.1	193/260/287	93	304	8	16	37%	7%	53	-1.2
✕Jonathan Ornelas 2024 · AAA	24	51→57	42→45	51→50	45	245/308/344	100	331	10	13	28%	8%	86	+0.3	229/289/321	92	318	9	12	29%	7%	74	-0.5	225/282/316	91	311	9	12	29%	6%	67	-0.7
✕Ryan McKenna 2021 · AA	24	47→57	42→45	50→55	45	224/290/331	107	299	8	15	27%	8%	77	-0.3	220/294/351	131	323	14	13	34%	9%	84	+0.1	215/292/346	131	318	15	13	34%	9%	81	-0.0
✕Joshua Rodriguez 2009 · AA	24	46→53	44→50	52→50	48	225/288/347	122	284	10	11	24%	8%	79	-0.2	239/302/352	113	310	10	9	24%	8%	86	+0.3	246/309/351	105	316	11	6	24%	8%	86	+0.1
✕Abiatal Avelino 2019 · AAA	24	52→54	43→45	55	42	253/291/365	112	310	10	19	22%	5%	84	+0.1	242/279/356	114	299	10	18	22%	5%	78	-0.3	231/273/339	108	280	10	18	21%	5%	69	-0.6
✕Yung-Chi Chen 2007 · AA	24	54→58	41→45	52→55	45	258/298/365	107	305	8	15	18%	5%	86	+0.3	244/288/337	93	293	7	15	18%	6%	76	-0.4	220/265/291	71	264	4	12	18%	5%	55	-0.8
✕Andy Burns 2015 · AA	24	46→56	46→50	52→55	43	230/278/371	140	283	12	17	23%	6%	81	-0.1	236/278/336	100	288	8	11	20%	5%	73	-0.6	235/285/340	105	281	10	9	20%	6%	73	-0.5
✕Jake Lemmerman 2013 · AA	24	47→51	43→45	50→45	46	227/301/344	117	302	9	8	26%	8%	84	+0.2	200/277/304	104	277	9	9	29%	9%	66	-1.1	177/259/273	96	245	9	9	30%	9%	50	-1.2
✕Michael Almanzar 2015 · AAA	24	48→51	45	49→45	41	238/287/364	126	294	13	9	24%	5%	84	+0.1	211/250/309	98	271	9	3	25%	4%	57	-1.8	203/239/296	93	262	9	1	26%	3%	47	-2.0
✕Tyler Smith 2015 · AA	24	49→54	41→40	47→50	48	235/305/339	103	298	8	10	23%	8%	84	+0.1	233/291/317	84	297	6	8	22%	7%	74	-0.6	226/283/300	74	288	5	7	22%	6%	63	-1.0
✕Chris Nelson 2010 · AA	24	46→56	45→50	52→50	45	228/285/362	134	282	12	13	23%	7%	82	-0.0	250/294/382	132	302	13	9	21%	5%	90	+0.6	260/302/395	135	314	13	7	21%	5%	95	+0.7
✕Tommy Field 2011 · A	24	47→50	45	50→45	44	228/300/351	123	298	12	10	26%	7%	86	+0.3	229/294/350	121	293	12	8	25%	7%	83	+0.1	223/292/352	129	279	13	7	24%	7%	81	-0.0
✕Joey Ortiz 2022 · AA	24	45→55	43→50	54→50	44	219/284/336	117	290	10	11	27%	7%	76	-0.4	249/305/388	139	305	12	10	21%	7%	95	+1.0	253/316/399	146	307	12	11	21%	7%	100	+1.1
✕Jack Marder 2014 · AA	24	46	42→45	49→50	42	227/283/335	108	278	10	14	22%	5%	75	-0.5	232/296/340	108	283	9	9	21%	6%	82	-0.0	249/320/360	111	294	10	3	18%	6%	93	+0.4
✕Peyton Wilson 2024 · AA	24	49→52	43→45	54→55	45	234/298/349	114	304	9	17	25%	7%	84	+0.1	215/285/331	116	290	10	19	27%	8%	75	-0.5	205/279/322	116	282	10	22	29%	8%	68	-0.7
✕Alan Espinoza 2015 · AAA	24	49	44→50	49→45	44	241/293/357	116	294	12	9	22%	6%	84	+0.1	232/280/379	147	274	17	6	22%	5%	84	+0.2	250/290/391	141	287	16	3	19%	4%	88	+0.2
✕Nick Allen 2022 · AAA	23	49→59	42→40	48→50	43	238/285/343	105	303	9	14	24%	6%	77	-0.3	238/293/332	94	285	8	15	18%	7%	78	-0.3	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Christian Herrera 2006 · AAA	24	50	43→40	50→45	51	240/313/356	116	304	9	11	23%	9%	91	+0.6	253/311/350	97	335	6	10	24%	7%	88	+0.5	252/306/329	77	330	4	7	23%	6%	79	-0.1
✕Starlin Rodriguez 2014 · AA	24	49→54	42→45	48→50	40	234/285/341	107	307	9	11	26%	5%	77	-0.3	218/273/332	114	282	10	9	25%	6%	71	-0.8	221/280/354	132	283	12	5	25%	6%	77	-0.2
✕Justin Miller 2013 · A	24	51→52	45	49→50	43	248/303/368	120	320	12	13	26%	6%	90	+0.6	227/287/320	93	308	8	15	27%	7%	73	-0.6	198/266/230	32	277	3	24	27%	6%	42	-0.8

Justin DeCriscio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps