Roderick Arias

3B Hudson Valley Renegades

Age 22 S/R 6'0" / 178 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ANYY	552	.233/.338/.393	13	37	46	—	.169/.248/.282
2025	20	ANYY	465	.208/.325/.315	7	34	34	—	.150/.244/.232
2026	21	AA/A+NYY	547	.267/.354/.435	16	38	71	—	.216/.281/.348
2027PROJMLE	22	MLBNYY	1	.193/.262/.314	0	0	61	-0.0
2028PROJ35% MLB	23	MLBNYY	174	.199/.268/.327	4	7	66	-0.2
2029PROJ46% MLB	24	MLBNYY	248	.203/.273/.337	6	10	70	-0.2

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$0.9M2034Arb-1$0.2M+2

Skills · percentileMiLB Statcast 2026 AA

Speed88

ISO59

wRC+58

wOBA50

BB%25

K%17

Career WAR0.0 WAR median (P10 -0.1 / P90 0.4, comp-based) · star 2% · didn't stick 93%

CompsHayden Cantrelle (age 23) · Kaden Polcovich (age 23) · Braulio Vasquez (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†61

AVG/OBP/SLG.193 / .262 / .314

PA1

HR0

K%35

BB%7

BABIP283

ISO111

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 25 / POW 30

Toolsscout grade

CONTACT25

scouting grade only

POWER30

scouting grade only

EYE55

scouting grade only

SPEED60

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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)
2022	17	ROK	DSL NYY Yankees	—	140	108	21	6	2	3	28	46	4	10	2	194	379	370	749	176	305	33	20	348	33	—	—	—	—	—	—
2023	18	ROK	FCL Yankees	—	130	101	27	2	2	6	27	29	1	17	6	267	426	505	931	238	313	22	21	410	67	—	—	—	—	—	—
2024	19	A	Tampa Tarpons	—	552	473	110	21	8	13	68	171	7	37	13	233	338	393	731	161	331	31	12	328	46	—	—	—	—	—	—
2025	20	A	Tampa Tarpons	—	465	394	82	19	1	7	65	134	4	34	10	208	325	315	640	107	295	29	14	298	34	—	—	—	—	—	—
2026	21	AA	Somerset Patriots	—	152	136	35	8	1	4	12	48	3	9	4	257	331	419	750	162	365	32	8	334	71	—	—	—	—	—	—
2026	21	A+	Hudson Valley Renegades	—	395	340	92	18	2	12	40	116	9	29	10	271	362	441	804	171	367	29	10	355	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL NYY Yankees	—	140	116	12	3	1	1	20	57	4	10	2	103	257	172	430	69	195	41	14	217	33	—	—	—	—	—	—
2023	18	ROK MLE	FCL Yankees	—	130	111	19	1	2	3	17	44	1	17	6	171	287	297	584	126	245	34	13	267	67	—	—	—	—	—	—
2024	19	A MLE	Tampa Tarpons	—	552	496	84	15	7	9	45	242	7	37	13	169	248	282	530	113	293	44	8	236	46	—	—	—	—	—	—
2025	20	A MLE	Tampa Tarpons	—	465	413	62	14	1	6	47	182	4	34	10	150	244	232	476	82	243	39	10	218	34	—	—	—	—	—	—
2026	21	AA MLE	Somerset Patriots	—	152	139	30	6	1	3	9	59	3	9	4	216	278	338	616	122	343	39	6	273	71	—	—	—	—	—	—
2026	21	A+ MLE	Hudson Valley Renegades	—	395	356	77	14	2	10	24	152	9	29	10	216	283	351	634	135	318	38	6	273	71	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Yankees	—	140	116	12	3	1	1	20	57	4	10	2	103	257	172	430	69	190	41	14	217	33	—	—	—	—	—	—
2022	17	ROK RAW	DSL NYY Yankees	—	140	108	21	6	2	3	28	46	4	10	2	194	379	370	749	176	305	33	20	348	33	—	—	—	—	—	—
2023	18	ROK MLE	FCL Yankees	—	130	111	19	1	2	3	17	44	1	17	6	171	287	297	584	126	246	34	13	267	67	—	—	—	—	—	—
2023	18	ROK RAW	FCL Yankees	—	130	101	27	2	2	6	27	29	1	17	6	267	426	505	931	238	313	22	21	410	67	—	—	—	—	—	—
2024	19	A MLE	Tampa Tarpons	—	552	496	84	15	7	9	45	242	7	37	13	169	248	282	530	113	301	44	8	236	46	—	—	—	—	—	—
2024	19	A RAW	Tampa Tarpons	—	552	473	110	21	8	13	68	171	7	37	13	233	338	393	731	161	331	31	12	328	46	—	—	—	—	—	—
2025	20	A MLE	Tampa Tarpons	—	465	413	62	14	1	6	47	182	4	34	10	150	244	232	476	82	248	39	10	218	34	—	—	—	—	—	—
2025	20	A RAW	Tampa Tarpons	—	465	394	82	19	1	7	65	134	4	34	10	208	325	315	640	107	295	29	14	298	34	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	547	495	107	20	3	13	33	211	12	38	14	216	281	347	629	131	338	39	6	273	71	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	547	476	127	26	3	16	52	164	12	38	14	267	354	435	789	168	366	30	10	349	71	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Yankees	—	140	115	12	3	1	1	20	57	4	10	2	104	257	174	431	70	195	41	14	217	33	—	—	—	—	—	—
2023	18	ROK MLE	FCL Yankees	—	130	111	19	1	2	3	17	44	1	17	6	171	287	297	584	126	245	34	13	267	67	—	—	—	—	—	—
2024	19	A MLE	Tampa Tarpons	—	552	495	84	15	7	9	45	242	7	37	13	170	248	283	531	113	293	44	8	236	46	—	—	—	—	—	—
2025	20	A MLE	Tampa Tarpons	—	465	411	62	14	1	6	47	182	4	34	10	151	244	234	477	83	243	39	10	218	34	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	547	497	107	20	3	13	33	211	12	38	14	215	281	346	628	131	325	39	6	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Tampa Tarpons	—	552	495	84	15	7	9	45	242	7	37	13	170	248	283	531	113	293	44	8	236	46	—	—	—	—	—	—
2025	20	A MLE	Tampa Tarpons	—	465	411	62	14	1	6	47	182	4	34	10	151	244	234	477	83	243	39	10	218	34	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	547	497	107	20	3	13	33	211	12	38	14	215	281	346	628	131	325	39	6	273	71	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYY	0%	648	589	113	22	3	14	45	229	9	26	9	192	261	308	569	117	283	35	7	258	61	-30	+2	+0	+2	+14	-0.1
▸ 2027 — real world (MLB)
2027	22	MLB CTX	NYY	0%	1	1	0	0	0	0	0	0	0	0	0	193	262	314	576	121	283	0	0	260	61	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYY	35%	504	456	90	17	2	12	36	173	7	20	7	197	267	321	589	124	284	34	7	266	66	-20	+1	+0	+2	+11	-0.7
2029	24	MLB MLE	NYY	46%	537	484	99	19	3	13	40	180	8	22	7	202	272	331	603	129	285	34	7	272	70	-19	+2	+0	+2	+12	-0.4
2030	25	MLB MLE	NYY	52%	560	505	104	20	3	14	42	184	8	22	8	204	276	337	613	133	286	33	8	276	73	-18	+1	+0	+2	+12	-0.3
2031	26	MLB MLE	NYY	54%	578	521	109	21	3	15	44	187	8	23	8	206	278	340	618	134	286	32	8	278	74	-18	+1	+0	+2	+13	-0.2
2032	27	MLB MLE	NYY	54%	582	524	110	21	3	15	45	186	8	22	8	207	279	341	620	134	286	32	8	279	75	-17	+1	+0	+2	+13	-0.1
2033	28	MLB MLE	NYY	54%	576	519	107	20	3	14	44	185	8	20	7	206	277	337	614	131	285	32	8	276	73	-18	+1	-1	+2	+12	-0.3
2034	29	MLB MLE	NYY	58%	562	507	103	20	2	13	43	182	7	16	6	203	275	331	606	128	284	32	8	273	71	-19	+1	-1	+2	+12	-0.6
2035	30	MLB MLE	NYY	60%	550	497	100	19	2	13	41	180	7	13	6	201	271	324	595	123	282	33	7	269	68	-21	+0	-2	+2	+12	-0.9
2028	23	MLB CTX	NYY	35%	174	156	31	6	1	4	13	60	3	7	2	199	268	327	596	129	284	34	7	269	66	-7	+1	+0	+1	+4	-0.2
2029	24	MLB CTX	NYY	46%	248	224	45	9	1	6	18	83	4	10	3	203	273	337	611	134	286	33	7	275	70	-9	+1	+0	+1	+5	-0.2
2030	25	MLB CTX	NYY	52%	289	261	54	10	1	8	22	95	4	12	4	206	277	344	621	138	286	33	8	279	73	-9	+1	+0	+1	+6	-0.1
2031	26	MLB CTX	NYY	54%	314	283	58	11	1	8	24	101	4	12	4	208	279	347	626	139	286	32	8	281	74	-10	+1	+0	+1	+7	-0.1
2032	27	MLB CTX	NYY	54%	316	285	59	11	1	9	24	101	4	12	4	209	280	348	628	139	286	32	8	282	75	-9	+1	+0	+1	+7	-0.1
2033	28	MLB CTX	NYY	54%	313	282	58	11	1	8	24	101	4	11	4	207	279	343	622	136	285	32	8	279	73	-10	+1	-0	+1	+7	-0.2
2034	29	MLB CTX	NYY	58%	324	292	59	11	1	8	25	105	4	9	4	205	276	337	613	133	284	32	8	276	71	-11	+0	-1	+1	+7	-0.4
2035	30	MLB CTX	NYY	60%	330	298	60	11	1	8	25	108	4	8	3	202	272	330	602	128	282	33	8	271	68	-13	+0	-1	+1	+7	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2308	2081	424	80	8	59	175	754	31	81	28	204	275	335	610	131	285	33	8	277	65	-78	+5	-2	+8	+50	-1.8
/ 162G	—	A+C		—	650	586	120	23	2	17	49	212	9	23	8	205	276	338	614	133	285	33	8	277	65	-22	+1	-1	+2	+14	-0.5
Career	—	MLE		—	6493	5834	1142	217	36	145	512	2267	92	302	105	196	271	320	591	124	288	35	8	265	65	-161	+9	-4	+17	+101	-3.9
/ 162G	—	MLE		—	650	584	115	22	4	15	51	227	9	30	11	197	272	325	597	128	289	35	8	265	65	-22	+1	-1	+2	+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 A+Hudson Valley Renegades · 395 PAwOBA .351 → .273 (−78)K% 29.4% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.37%	÷1.000	×1.310	—	—	38.47%
BB% (unintentional) /PA	10.13%	÷1.000	×0.600	—	×1.012	6.15%
HBP% /PA	2.28%	—	×0.770	—	×1.012	1.78%
Singles /BIP	26.79%	÷1.000	×0.870	×1.015	×1.012	23.93%
Doubles /BIP	8.04%	÷1.000	×0.780	×1.015	×1.012	6.44%
Triples /BIP	0.89%	÷1.000	×0.850	×1.015	×1.012	0.78%
Home runs /BIP	5.36%	÷1.000	×0.880	—	×1.012	4.77%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.

Result: wOBA .351 → .273; ISO .171 → .139; BABIP .367 → .318. 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 AASomerset Patriots · 152 PAwOBA .327 → .273 (−54)K% 31.6% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷1.000	×1.220	—	—	38.53%
BB% (unintentional) /PA	7.89%	÷1.000	×0.700	—	×1.042	5.76%
HBP% /PA	1.97%	—	×0.850	—	×1.042	1.75%
Singles /BIP	25.00%	÷1.000	×0.970	×0.969	×1.042	24.49%
Doubles /BIP	9.09%	÷1.000	×0.860	×0.969	×1.042	7.90%
Triples /BIP	1.14%	÷1.000	×0.950	×0.969	×1.042	1.09%
Home runs /BIP	4.55%	÷1.000	×0.780	—	×1.042	3.69%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.969.

Result: wOBA .327 → .273; ISO .162 → .128; BABIP .365 → .343. 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 ATampa Tarpons · 465 PAwOBA .292 → .218 (−74)K% 28.8% → 39.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.82%	÷1.000	×1.360	—	—	39.21%
BB% (unintentional) /PA	13.98%	÷0.971	×0.690	—	×1.015	10.08%
HBP% /PA	0.86%	—	×0.780	—	×1.015	0.68%
Singles /BIP	21.15%	÷1.119	×0.920	×0.994	×1.015	17.54%
Doubles /BIP	7.31%	÷1.046	×0.830	×0.994	×1.015	5.85%
Triples /BIP	0.38%	÷0.913	×0.910	×0.994	×1.015	0.39%
Home runs /BIP	2.69%	÷0.842	×0.800	—	×1.015	2.60%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 124, 2B 109, 3B 83, K 100, BB 94 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .292 → .218; ISO .107 → .085; BABIP .295 → .243. 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 ATampa Tarpons · 552 PAwOBA .322 → .236 (−86)K% 31.0% → 43.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.98%	÷0.959	×1.360	—	—	43.94%
BB% (unintentional) /PA	12.32%	÷1.061	×0.690	—	×1.030	8.25%
HBP% /PA	1.27%	—	×0.780	—	×1.030	1.02%
Singles /BIP	22.52%	÷1.035	×0.920	×0.993	×1.030	20.46%
Doubles /BIP	6.95%	÷1.028	×0.830	×0.993	×1.030	5.74%
Triples /BIP	2.65%	÷0.971	×0.910	×0.993	×1.030	2.54%
Home runs /BIP	4.30%	÷0.979	×0.800	—	×1.030	3.62%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 106, 3B 94, K 92, BB 112 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .322 → .236; ISO .161 → .118; BABIP .331 → .293. 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).

2023 ROKFCL Yankees · 130 PAwOBA .403 → .267 (−136)K% 22.3% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.31%	÷0.951	×1.440	—	—	33.79%
BB% (unintentional) /PA	20.77%	÷0.995	×0.620	—	×1.008	13.04%
HBP% /PA	0.77%	—	×0.720	—	×1.008	0.56%
Singles /BIP	23.61%	÷0.994	×0.820	×1.000	×1.008	19.63%
Doubles /BIP	2.78%	÷1.106	×0.720	×1.000	×1.008	1.82%
Triples /BIP	2.78%	÷0.900	×0.720	×1.000	×1.008	2.24%
Home runs /BIP	8.33%	÷1.383	×0.780	—	×1.008	4.74%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 177, 1B 99, 2B 121, 3B 80, K 90, BB 99 — 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 ×1.000.

Result: wOBA .403 → .267; ISO .238 → .139; BABIP .313 → .245. 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).

2022 DSLDSL NYY Yankees · 140 PAwOBA .340 → .217 (−124)K% 32.9% → 40.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.86%	÷0.982	×1.220	—	—	40.84%
BB% (unintentional) /PA	20.00%	÷0.984	×0.700	—	×1.008	14.34%
HBP% /PA	2.86%	—	×0.700	—	×1.008	2.01%
Singles /BIP	16.13%	÷0.994	×0.680	×1.039	×1.008	11.55%
Doubles /BIP	9.68%	÷1.101	×0.600	×1.039	×1.008	5.52%
Triples /BIP	3.23%	÷0.986	×0.600	×1.039	×1.008	2.05%
Home runs /BIP	4.84%	÷1.195	×0.470	—	×1.008	1.92%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 99, 2B 120, 3B 97, K 96, BB 97 — 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 ×1.039.

Result: wOBA .340 → .217; ISO .176 → .085; BABIP .305 → .195. 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
#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
#2Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#3Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
#4Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#5Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5
#6Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.5	2,309	56	81	205	273	335	+25	+12	1.5	1.5
/162	664	16	23	+7.1	+3.5	0.4	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
Roderick Arias (OGILVIE)	22	25	30	60	55	190/259/306	115	283	4	8	35%	7%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/261	97	258	8	24	35%	14%	66	-1.1	191/307/295	104	295	8	20	33%	12%	77	-0.3	192/310/298	105	297	8	21	33%	12%	77	-0.2
✕Kaden Polcovich 2022 · AA	23	39→41	46→45	54→55	46	195/283/323	128	276	13	17	32%	9%	74	-0.6	200/283/317	117	274	11	17	29%	9%	72	-0.7	190/277/301	111	259	10	19	29%	9%	64	-0.7
✕Braulio Vasquez 2022 · A	23	41	40	55→65	40	193/274/284	91	302	8	31	36%	8%	61	-1.5	218/287/317	99	301	6	26	28%	7%	73	-0.6	227/297/325	98	303	3	32	24%	8%	74	-0.3
✕Viandel Pena 2023 · A	22	38→39	39→40	55	41	183/248/269	86	293	6	18	37%	8%	47	-2.6	196/257/270	74	292	4	18	31%	8%	50	-2.3	198/244/283	85	286	6	20	32%	6%	44	-0.9
✕Cooper Bowman 2023 · A	23	39→44	43→45	59→60	44	194/276/302	108	285	11	31	34%	9%	66	-1.1	210/284/328	118	287	11	35	29%	8%	74	-0.5	210/283/330	120	279	11	40	27%	8%	72	-0.5
✕Hansel Moreno 2019 · A	22	42→33	41→40	51→50	35	202/246/303	101	302	8	16	35%	5%	53	-2.1	195/242/289	94	290	9	15	34%	6%	49	-2.4	171/218/249	78	243	10	18	33%	6%	29	-2.6
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	300	7	14	36%	7%	53	-2.1	208/308/324	116	294	11	13	30%	10%	84	+0.1	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Max Wagner 2024 · AA	22	41→38	46→50	55→50	42	204/275/332	128	291	13	18	33%	8%	72	-0.7	195/261/317	122	302	13	12	37%	7%	63	-1.3	190/255/330	140	291	17	7	39%	7%	61	-0.9
✕Rubendy Jaquez 2021 · A	22	44→41	40	54→55	42	213/266/303	91	286	7	18	27%	6%	61	-1.5	206/252/283	77	276	4	18	25%	5%	51	-2.3	198/241/265	66	263	2	22	24%	5%	39	-1.2
✕Loidel Chapelli 2024 · A	22	39→36	43→45	56→55	46	196/271/312	116	271	10	18	30%	8%	65	-1.2	196/259/284	88	300	7	17	34%	7%	54	-2.0	176/233/238	63	279	4	20	36%	6%	31	-2.0
✕Isaiah Greene 2024 · A	22	41→42	38→40	56→55	50	187/286/268	81	306	5	19	36%	12%	62	-1.4	198/272/294	96	312	7	14	35%	9%	62	-1.4	155/236/258	102	239	4	15	34%	10%	37	-0.6
✕Jose Acosta 2023 · A	23	39	45	49→55	37	194/253/316	122	299	13	16	38%	6%	60	-1.6	193/246/301	108	278	10	17	33%	6%	53	-2.1	169/217/263	95	233	9	22	31%	5%	31	-1.0
✕David Smith 2024 · A	23	45→32	41→30	53→55	45	214/293/308	94	302	9	13	30%	8%	74	-0.6	183/284/254	71	260	5	19	28%	11%	59	-1.7	157/271/211	54	223	4	23	28%	12%	45	-1.3
✕Deivis Nadal 2024 · A	22	38	41→40	55	40	178/259/276	98	302	8	23	40%	8%	54	-2.0	179/249/282	103	352	9	15	47%	8%	51	-2.3	103/173/187	83	241	7	10	56%	7%	-1	-1.9
✕Jamari Baylor 2023 · A	22	37	42→45	51→55	41	168/271/271	102	317	9	19	45%	10%	58	-1.7	190/287/296	106	336	11	16	42%	10%	70	-0.9	180/284/294	114	291	13	20	39%	10%	65	-0.4
✕Luis Alexander Basabe 2019 · AA	22	41→45	44→45	50	40	202/264/321	119	303	11	14	36%	7%	65	-1.2	207/276/307	100	327	9	15	36%	8%	66	-1.1	198/269/278	79	322	6	15	37%	8%	54	-0.7
✕Dasan Brown 2024 · A	22	42→40	39→40	52→60	39	197/268/280	84	303	7	21	35%	6%	58	-1.7	188/264/271	83	289	7	31	35%	8%	54	-2.0	172/256/247	75	267	7	41	35%	8%	43	-1.4
✕Nerwilian Cedeño 2024 · A	22	40→34	44→45	48→50	42	197/268/314	117	296	11	13	35%	8%	65	-1.2	196/253/295	99	282	9	11	32%	6%	55	-2.0	185/239/274	90	262	7	11	31%	6%	42	-1.6
✕Alex Freeland 2024 · A	22	44→48	42→45	54→55	43	207/282/308	101	319	10	22	36%	9%	69	-0.9	224/310/353	129	306	13	19	28%	10%	90	+0.6	226/317/359	132	301	13	18	27%	11%	92	+0.7
✕Geraldo Quintero 2024 · A	22	45→47	38→40	54→60	46	214/277/299	85	280	5	21	24%	7%	64	-1.3	210/281/306	96	275	8	28	25%	8%	68	-1.0	199/277/299	100	256	9	37	25%	8%	63	-0.8

Roderick Arias

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps