Cristian Arguelles

OF ACL Rockies

Age 20 L/L 6'0" / 177 lbs ROK HR +30%H +12% Svc 0.0 · Ctrl thru 2034

Overview

ROKPROSPECTMiLBFA 2035

OGV OFP40OGV rank#191ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKCOL	202	.267/.357/.302	0	11	28	—	.185/.260/.208
2025	18	ROKCOL	236	.422/.534/.652	5	6	113	—	.264/.375/.396
2026	19	A/ROKCOL	417	.341/.424/.551	11	15	114	—	.282/.346/.444
2027PROJMLE	20	MLBCOL	527	.259/.324/.402	10	9	104	0.5
2028PROJ43% MLB	21	MLBCOL	157	.278/.342/.450	4	3	107	0.3
2029PROJ61% MLB	22	MLBCOL	248	.279/.345/.456	6	5	109	0.6

Next 3 projected WAR 1.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$4M2033Arb-2$7M2034Arb-3$10M

Skills · percentileMiLB Statcast 2026 A

Whiff%98

K%97

Z-Con%96

Speed47

ISO44

Chase%35

Career WAR0.0 WAR median (P10 -0.3 / P90 25, comp-based) · star 9% · didn't stick 61%

CompsJ.P. Crawford (age 20) · Cole Young (age 20) · Moisés Ballesteros (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†104

AVG/OBP/SLG.257 / .321 / .398

PA210

HR4

K%15

BB%7

ISO143

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$27M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2032	Arb-1	$4M	+1.2	$7M	+$4M
2033	Arb-2	$7M	+1.3	$7M	+$3M
2034	Arb-3	$10M	+1.2	$6M	+$0.7M
Totals		$25M		$30M	+$16M

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 Rockies	—	202	172	46	6	0	0	18	12	6	11	3	267	357	302	659	35	282	6	9	301	28	—	—	—	—	—	—
2025	18	ROK	DSL Rockies	—	236	187	79	16	6	5	34	25	11	6	7	422	534	652	1.187	230	463	11	14	506	113	—	—	—	—	—	—
2026	19	A	Fresno Grizzlies	—	162	142	35	9	1	2	16	19	2	5	2	246	331	366	697	120	268	12	10	313	74	—	—	—	—	—	—
2026	19	ROK	ACL Rockies	—	255	219	88	14	9	9	30	31	4	10	3	402	482	671	1.153	269	436	12	12	493	139	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rockies	—	202	178	33	4	0	0	12	15	6	11	3	185	260	208	468	22	190	7	6	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rockies	—	236	197	52	9	4	3	24	30	11	6	7	264	375	396	771	132	285	13	10	335	113	—	—	—	—	—	—
2026	19	A MLE	Fresno Grizzlies	—	162	146	34	8	1	2	12	26	2	5	2	233	300	342	642	110	259	16	7	277	74	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rockies	—	255	230	72	10	7	7	19	45	4	10	3	313	375	509	884	196	353	18	7	374	139	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rockies	—	202	178	33	4	0	0	12	15	6	11	3	185	260	208	468	22	199	7	6	210	28	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rockies	—	202	172	46	6	0	0	18	12	6	11	3	267	357	302	659	35	282	6	9	301	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rockies	—	236	197	52	9	4	3	24	30	11	6	7	264	375	396	771	132	293	13	10	335	113	—	—	—	—	—	—
2025	18	ROK RAW	DSL Rockies	—	236	187	79	16	6	5	34	25	11	6	7	422	534	652	1.187	230	463	11	14	506	113	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	417	377	107	19	8	9	30	71	6	15	5	284	346	448	795	164	326	17	7	336	114	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	417	361	123	23	10	11	46	50	6	15	5	341	424	551	975	211	368	12	11	423	114	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rockies	—	202	182	33	4	0	0	12	15	6	11	3	181	260	203	464	22	190	7	6	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rockies	—	236	199	52	9	4	3	24	30	11	6	7	261	375	392	767	131	285	13	10	335	113	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	417	378	107	19	8	9	30	71	6	15	5	283	346	447	793	164	316	17	7	336	114	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rockies	—	202	182	33	4	0	0	12	15	6	11	3	181	260	203	464	22	190	7	6	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rockies	—	236	199	52	9	4	3	24	30	11	6	7	261	375	392	767	131	285	13	10	335	113	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	417	378	107	19	8	9	30	71	6	15	5	283	346	447	793	164	316	17	7	336	114	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	COL	0%	527	476	124	23	7	10	39	79	7	9	3	259	324	402	726	143	289	15	7	322	104	+3	+1	-2	-3	+11	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	COL	43%	364	329	87	16	5	8	27	54	5	7	2	261	327	410	737	148	290	15	7	327	107	+3	+1	-1	-2	+8	0.8
2029	22	MLB MLE	COL	61%	408	369	97	18	5	9	31	61	5	8	3	263	329	415	745	152	290	15	8	330	109	+5	+0	-1	-2	+9	1.0
2030	23	MLB MLE	COL	68%	455	411	109	20	6	11	35	69	6	8	3	264	331	419	750	155	291	15	8	332	111	+6	+0	-1	-3	+10	1.2
2031	24	MLB MLE	COL	70%	505	454	120	22	6	12	40	78	6	9	3	264	332	421	753	157	292	15	8	333	112	+7	+1	-1	-3	+11	1.5
2032	25	MLB MLE	COL	70%	562	506	133	24	7	14	44	89	7	10	3	263	331	422	753	158	292	16	8	334	112	+8	+1	-0	-3	+12	1.7
2033	26	MLB MLE	COL	71%	590	531	140	26	7	15	47	93	7	10	4	263	331	421	753	158	292	16	8	333	112	+8	+0	-0	-4	+13	1.8
2034	27	MLB MLE	COL	69%	589	530	139	25	7	15	47	94	7	10	4	262	330	419	749	157	291	16	8	332	111	+8	+0	-0	-4	+13	1.7
2035	28	MLB MLE	COL	69%	580	522	136	25	7	14	46	94	7	8	3	260	328	414	742	154	290	16	8	329	109	+6	+0	-1	-3	+13	1.5
2036	29	MLB MLE	COL	67%	564	508	131	24	6	13	44	93	7	7	3	258	325	408	733	150	289	16	8	325	106	+4	+0	-2	-3	+12	1.2
2037	30	MLB MLE	COL	66%	550	496	126	23	6	12	43	92	6	6	4	255	322	400	722	145	288	17	8	321	103	+2	-0	-2	-3	+12	0.8
2038	31	MLB MLE	COL	65%	532	480	121	22	6	11	41	91	6	4	5	250	317	390	707	139	285	17	8	315	99	-1	-1	-3	-3	+12	0.3
2039	32	MLB MLE	COL	65%	509	460	112	20	5	10	39	90	5	3	18	245	310	377	687	132	281	18	8	307	94	-4	-7	-4	-3	+11	-0.6
2028	21	MLB CTX	COL	43%	157	142	40	7	3	4	12	23	2	3	1	278	342	450	792	172	307	15	8	348	107	+1	+0	-1	-1	+3	0.3
2029	22	MLB CTX	COL	61%	248	224	62	11	5	6	19	37	3	5	2	279	345	456	800	176	308	15	8	352	109	+3	+0	-1	-1	+5	0.6
2030	23	MLB CTX	COL	68%	310	279	78	14	5	8	24	47	4	6	2	280	346	460	805	179	309	15	8	354	111	+4	+0	-1	-2	+7	0.9
2031	24	MLB CTX	COL	70%	351	316	89	16	6	10	28	54	4	6	2	281	347	462	809	181	310	15	8	355	112	+5	+0	-1	-2	+8	1.0
2032	25	MLB CTX	COL	70%	395	356	100	18	7	11	31	62	5	7	2	280	347	462	809	182	310	16	8	355	112	+6	+1	-0	-2	+9	1.2
2033	26	MLB CTX	COL	71%	416	375	105	19	7	12	33	66	5	7	2	280	346	462	808	182	309	16	8	355	112	+6	+1	-0	-2	+9	1.3
2034	27	MLB CTX	COL	69%	408	368	102	18	7	11	32	65	5	7	2	278	345	459	804	180	309	16	8	353	111	+5	+1	-0	-2	+9	1.2
2035	28	MLB CTX	COL	69%	398	358	99	18	6	11	32	64	5	6	2	276	343	453	796	177	308	16	8	350	109	+4	+0	-1	-2	+9	1.0
2036	29	MLB CTX	COL	67%	377	340	93	17	6	10	30	62	4	5	2	274	340	446	786	172	306	16	8	346	106	+3	+0	-1	-2	+8	0.8
2037	30	MLB CTX	COL	66%	362	327	89	16	6	9	28	61	4	4	2	270	336	437	773	167	304	17	8	341	103	+1	+0	-2	-2	+8	0.6
2038	31	MLB CTX	COL	65%	347	313	83	15	5	8	27	59	4	3	3	265	331	426	756	160	301	17	8	334	99	-0	-1	-2	-2	+8	0.2
2039	32	MLB CTX	COL	65%	330	299	77	13	5	7	25	58	3	2	11	260	324	412	736	152	297	18	8	326	94	-2	-4	-3	-2	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4099	3697	1017	182	68	107	321	658	48	61	33	275	341	448	789	173	308	16	8	348	105	+35	-1	-12	-25	+89	8.8
/ 162G	—	A+C		—	650	586	162	29	11	17	51	104	8	10	5	276	343	451	793	174	310	16	8	348	105	+6	-0	-2	-4	+14	1.4
Career	—	MLE		—	7273	6538	1692	306	88	160	565	1145	100	126	71	259	327	406	733	147	290	16	8	324	105	+54	-4	-19	-39	+139	13.4
/ 162G	—	MLE		—	650	584	151	27	8	14	50	102	9	11	6	259	326	404	730	146	290	16	8	324	105	+5	-0	-2	-4	+14	1.4

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 ROKACL Rockies · 255 PAwOBA .484 → .374 (−110)K% 12.2% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.16%	÷1.000	×1.440	—	—	17.51%
BB% (unintentional) /PA	11.76%	÷1.000	×0.620	—	×1.008	7.35%
HBP% /PA	1.57%	—	×0.720	—	×1.008	1.14%
Singles /BIP	29.79%	÷1.000	×0.820	×1.025	×1.008	25.22%
Doubles /BIP	7.45%	÷1.000	×0.720	×1.025	×1.008	5.54%
Triples /BIP	4.79%	÷1.000	×0.720	×1.025	×1.008	3.56%
Home runs /BIP	4.79%	÷1.000	×0.780	—	×1.008	3.76%

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 ×1.025.

Result: wOBA .484 → .374; ISO .269 → .206; BABIP .436 → .353. 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 AFresno Grizzlies · 162 PAwOBA .309 → .277 (−33)K% 11.7% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.73%	÷1.000	×1.360	—	—	15.95%
BB% (unintentional) /PA	9.88%	÷1.000	×0.690	—	×1.045	7.12%
HBP% /PA	1.23%	—	×0.780	—	×1.045	1.01%
Singles /BIP	18.70%	÷1.000	×0.920	×1.037	×1.045	18.63%
Doubles /BIP	7.32%	÷1.000	×0.830	×1.037	×1.045	6.58%
Triples /BIP	0.81%	÷1.000	×0.910	×1.037	×1.045	0.80%
Home runs /BIP	1.63%	÷1.000	×0.800	—	×1.045	1.36%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .309 → .277; ISO .120 → .106; BABIP .268 → .259. 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 Rockies · 236 PAwOBA .500 → .335 (−165)K% 10.6% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.59%	÷1.026	×1.220	—	—	12.60%
BB% (unintentional) /PA	14.41%	÷1.007	×0.700	—	×1.008	10.09%
HBP% /PA	4.66%	—	×0.700	—	×1.008	3.29%
Singles /BIP	32.10%	÷1.026	×0.680	×0.973	×1.008	20.85%
Doubles /BIP	9.88%	÷1.107	×0.600	×0.973	×1.008	5.25%
Triples /BIP	3.70%	÷0.900	×0.600	×0.973	×1.008	2.42%
Home runs /BIP	3.09%	÷0.864	×0.470	—	×1.008	1.69%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 105, 2B 121, 3B 80, K 105, 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 ×0.973.

Result: wOBA .500 → .335; ISO .230 → .142; BABIP .463 → .285. 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 · 202 PAwOBA .299 → .210 (−89)K% 5.9% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.94%	÷1.001	×1.220	—	—	7.24%
BB% (unintentional) /PA	8.91%	÷1.099	×0.700	—	×1.022	5.80%
HBP% /PA	2.97%	—	×0.700	—	×1.022	2.13%
Singles /BIP	25.00%	÷1.006	×0.680	×0.983	×1.022	16.99%
Doubles /BIP	3.75%	÷0.977	×0.600	×0.983	×1.022	2.31%
Triples /BIP	0.00%	÷0.900	×0.600	×0.983	×1.022	0.00%
Home runs /BIP	0.00%	÷1.188	×0.470	—	×1.022	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 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 ×0.983.

Result: wOBA .299 → .210; ISO .035 → .023; BABIP .282 → .190. 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
#1Kevin Bass'82-'95 * career totals — 13 seasons, 5,291 PA	8.0	5,291	118	151	267*	321*	436*	-47	-11	14.8	15.8
/162	664	15	19	-5.9	-1.4	1.9	pk7: 17
#2Cody Rosslast yr '14 career totals — 9 seasons, 3,733 PA	5.6	3,733	131	33	264	324	449	-13	-12	15.1	15.6
/162	664	23	6	-2.3	-2.1	2.7	pk7: 16
#3Larry Herndon'74-'88 * career totals — 13 seasons, 5,316 PA	8.0	5,316	107	92	269*	321*	433*	-40	+17	16.4	15.4
/162	664	13	11	-5.0	+2.1	2.0	pk7: 14
#4Derek Bell'91-'01 * career totals — 10 seasons, 5,068 PA	7.6	5,068	134	170	264*	322*	414*	-34	-29	11.8	13.5
/162	664	18	22	-4.4	-3.8	1.5	pk7: 15
#5Josh Reddicklast yr '21 career totals — 13 seasons, 4,879 PA	7.3	4,879	146	61	262	321	426	-52	-8	13.1	13.0
/162	664	20	8	-7.1	-1.1	1.8	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.5	4,310	101	63	260	324	411	-26	-7	12.8	11.1
/162	664	16	10	-4.0	-1.1	2.0	pk7: 9
#6Jody Gerutlast yr '10 career totals — 6 seasons, 1,992 PA	3.0	1,992	59	30	262	325	433	-11	+0	7.3	7.3
/162	664	20	10	-3.6	+0.1	2.4	pk7: 7

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
Cristian Arguelles (OGILVIE)	20	—	—	—	—	257/321/398	141	289	4	4	15%	7%	104	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●J.P. Crawford 2015 · A	20	54→57	41→45	46→50	52	258/327/358	100	312	9	15	20%	9%	96	+1.0	243/315/344	101	290	8	10	18%	9%	88	+0.5	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕Cole Young 2023 · A	20	51→52	45	49→50	47	249/304/371	122	299	13	11	21%	7%	91	+0.6	242/328/367	125	291	10	13	19%	10%	99	+1.3	240/330/363	124	285	10	12	18%	10%	97	+1.0
●Moisés Ballesteros 2024 · AA	20	46→56	46→50	49→40	50	228/297/354	126	275	14	5	22%	9%	84	+0.2	255/315/385	130	307	14	4	21%	8%	99	+1.2	258/320/384	126	307	14	3	20%	8%	99	+1.1
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
●Kolten Wong 2012 · A	21	52→58	45→50	48→55	48	253/304/381	129	285	11	12	16%	6%	93	+0.8	259/304/373	114	299	10	19	16%	5%	91	+0.6	272/342/411	139	310	13	20	16%	7%	116	+1.7
●Andrés Giménez 2018 · A	19	50→59	38→50	48→55	49	236/308/322	86	282	5	11	18%	7%	82	-0.0	242/299/351	109	312	7	23	24%	5%	84	+0.2	260/322/413	154	311	16	25	21%	5%	109	+1.8
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	52	249/316/366	117	293	12	4	19%	9%	94	+0.9	229/291/322	93	289	7	3	22%	8%	75	-0.5	272/336/375	103	335	10	2	20%	8%	101	+0.8
✕Jorbit Vivas 2022 · A	21	54→57	47→45	47→50	47	267/331/407	140	302	14	7	16%	6%	110	+2.1	241/322/356	115	273	10	11	15%	8%	95	+1.0	228/319/335	107	260	9	14	15%	9%	88	+0.4
✕Hank Conger 2008 · A	20	48→58	47→50	48→45	43	241/281/376	136	287	14	9	22%	5%	84	+0.1	255/300/394	139	301	15	4	20%	6%	95	+0.9	260/314/394	134	302	14	2	18%	7%	99	+0.9
✕Colin Moran 2014 · A	21	50→57	43→55	50→30	45	242/292/352	110	297	10	6	22%	6%	82	-0.0	253/298/355	102	327	8	3	24%	6%	84	+0.2	269/319/423	154	316	19	0	21%	6%	109	+1.4
✕Adael Amador 2023 · A	20	53→56	46→50	46→55	55	258/340/385	126	301	13	14	18%	10%	108	+1.9	241/316/374	133	282	15	21	19%	9%	97	+1.1	231/310/357	126	266	13	22	18%	9%	88	+0.4
✕Adrian Cardenas 2008 · A	20	52→60	41→45	50	44	252/296/351	100	305	8	12	20%	6%	83	+0.1	265/314/360	95	319	6	10	18%	6%	91	+0.7	281/332/373	92	325	5	8	14%	7%	100	+1.2
✕Walker Jenkins 2024 · A	19	53	45→50	53→55	45	257/305/391	134	308	11	11	20%	6%	95	+1.0	245/323/376	131	300	11	17	21%	9%	99	+1.3	248/332/390	141	301	14	20	21%	10%	103	+1.0
●CJ Abrams 2021 · A	20	50→53	43→60	54→60	45	243/288/365	122	284	8	14	18%	5%	83	+0.1	252/298/368	116	311	9	25	21%	5%	88	+0.4	252/319/452	200	292	23	30	22%	7%	117	+2.7
✕John Drennen 2007 · A	20	48→58	43→45	45	44	234/295/346	113	303	10	8	26%	7%	82	+0.0	221/276/324	103	282	9	5	24%	6%	70	-0.9	250/301/374	124	298	8	1	18%	6%	88	+0.3
●Alex Verdugo 2016 · A	20	55→60	42→50	51→45	42	265/294/377	113	301	9	10	16%	4%	88	+0.4	266/312/377	111	305	10	7	15%	6%	95	+0.9	284/340/436	152	320	15	7	16%	7%	121	+1.9
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
●Gavin Lux 2019 · AA	21	50→60	43→50	50	46	240/297/359	118	305	10	12	24%	7%	85	+0.2	256/317/415	159	323	17	9	25%	8%	106	+1.8	270/338/424	154	338	14	8	23%	9%	115	+2.1
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
●Kevin McGonigle 2024 · A	19	51→57	39→50	47→50	54	240/319/330	90	294	6	15	20%	10%	87	+0.4	261/339/405	144	289	14	15	14%	10%	112	+2.2	271/359/435	164	294	17	13	14%	12%	126	+2.5

Cristian Arguelles

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps