Hayden Alvarez

CF Rancho Cucamonga Quakes

Age 20 R/R 6'3" / 190 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP40OGV rank#249ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKLAA	217	.250/.368/.358	1	32	34	—	.161/.254/.215
2025	18	A/ROK2 orgs	297	.340/.439/.430	2	33	92	—	.276/.346/.345
2026	19	A+/ALAA	551	.289/.393/.456	12	53	94	—	.242/.324/.373
2027PROJMLE	20	MLBLAA	625	.231/.312/.345	10	26	88	0.2
2028PROJ34% MLB	21	MLBLAA	178	.235/.317/.361	3	7	94	0.3
2029PROJ48% MLB	22	MLBLAA	267	.239/.321/.373	6	10	98	0.7

Next 3 projected WAR 1.2Projected 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$5M2033Arb-2$8M2034Arb-3$12M

Skills · percentileMiLB Statcast 2026 A+

K%82

BB%72

Whiff%69

Chase%67

wRC+57

Speed56

Career WAR0.9 WAR median (P10 -0.4 / P90 43, comp-based) · star 16% · didn't stick 54%

CompsLuke Adams (age 20) · Adrian Pinto (age 20) · Jett Williams (age 20)

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

wRC+†88

AVG/OBP/SLG.229 / .310 / .342

PA210

HR3

SB9

K%23

BB%10

ISO114

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$22M 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	+0.7	$2M	+$2M
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2032	Arb-1	$5M	+1.1	$6M	+$3M
2033	Arb-2	$8M	+1.1	$6M	+$1M
2034	Arb-3	$12M	+1.1	$5M	+$0.0M (cut)
Totals		$16M		$28M	+$14M

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 Angels	—	217	176	44	10	3	1	31	35	2	32	6	250	368	358	726	108	301	16	14	323	34	—	—	—	—	—	—
2025	18	A	Inland Empire 66ers	—	76	62	22	5	0	0	10	8	2	9	4	355	459	435	895	81	407	11	13	398	123	—	—	—	—	—	—
2025	18	ROK	ACL Angels	—	221	182	61	5	3	2	31	41	1	24	5	335	433	429	861	93	413	19	14	380	81	—	—	—	—	—	—
2026	19	A+	Tri-City Dust Devils	—	105	89	23	6	0	1	15	19	1	7	1	258	371	360	731	101	319	18	14	338	74	—	—	—	—	—	—
2026	19	A	Rancho Cucamonga Quakes	—	446	378	112	26	5	11	60	90	4	46	10	296	398	479	877	183	361	20	13	387	99	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Angels	—	217	186	30	6	2	0	21	41	2	32	6	161	254	215	469	54	194	19	10	219	34	—	—	—	—	—	—
2025	18	A MLE	Inland Empire 66ers	—	76	65	21	4	0	0	7	11	2	9	4	323	405	385	790	62	379	14	9	350	123	—	—	—	—	—	—
2025	18	ROK MLE	ACL Angels	—	221	196	51	4	2	2	18	61	1	24	5	260	326	332	657	71	341	28	8	288	81	—	—	—	—	—	—
2026	19	A+ MLE	Tri-City Dust Devils	—	105	93	21	5	0	1	11	26	1	7	1	226	314	312	626	86	295	25	10	277	74	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	446	395	97	21	4	9	43	122	4	46	10	246	326	387	713	142	329	27	10	314	99	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	217	186	30	6	2	0	21	41	2	32	6	161	254	215	469	54	203	19	10	219	34	—	—	—	—	—	—
2024	17	ROK RAW	DSL Angels	—	217	176	44	10	3	1	31	35	2	32	6	250	368	358	726	108	301	16	14	323	34	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	297	261	72	8	2	2	25	72	3	33	9	276	346	345	691	69	366	24	8	304	92	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	297	244	83	10	3	2	41	49	3	33	9	340	439	430	870	90	411	16	14	384	92	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	551	488	118	26	4	10	54	148	5	53	11	242	324	373	697	131	324	27	10	307	94	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	551	467	135	32	5	12	75	109	5	53	11	289	393	456	849	167	352	20	14	377	94	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	217	192	30	6	2	0	21	41	2	32	6	156	254	208	462	52	194	19	10	219	34	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	297	267	72	8	2	2	25	72	3	33	9	270	346	337	683	67	351	24	8	304	92	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	551	487	118	26	4	10	54	148	5	53	11	242	324	374	697	131	323	27	10	307	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Angels	—	217	192	30	6	2	0	21	41	2	32	6	156	254	208	462	52	194	19	10	219	34	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	297	267	72	8	2	2	25	72	3	33	9	270	346	337	683	67	351	24	8	304	92	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	551	487	118	26	4	10	54	148	5	53	11	242	324	374	697	131	323	27	10	307	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAA	0%	625	555	128	26	4	10	60	142	5	26	6	231	312	345	657	114	291	23	10	298	88	-9	+3	-3	+2	+14	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAA	34%	517	457	108	22	3	10	50	114	5	20	5	237	318	363	682	127	292	22	10	307	94	-4	+2	-2	+2	+11	0.9
2029	22	MLB MLE	LAA	48%	552	488	119	24	4	12	54	120	5	20	5	240	323	375	698	135	292	22	10	313	98	-1	+2	-2	+2	+12	1.3
2030	23	MLB MLE	LAA	54%	575	508	124	25	4	13	57	123	5	19	4	243	325	383	708	140	293	21	10	318	101	+1	+2	-1	+2	+12	1.7
2031	24	MLB MLE	LAA	55%	578	511	126	25	4	14	57	123	5	18	4	245	327	389	716	144	294	21	10	320	103	+2	+2	-0	+2	+13	1.9
2032	25	MLB MLE	LAA	56%	590	522	128	25	4	15	58	125	5	17	4	245	327	392	719	146	294	21	10	322	104	+3	+2	+0	+2	+13	2.0
2033	26	MLB MLE	LAA	56%	599	530	131	26	4	15	59	127	5	16	4	245	327	391	718	146	293	21	10	321	104	+3	+2	+0	+2	+13	2.0
2034	27	MLB MLE	LAA	55%	596	527	128	25	4	14	59	128	5	15	4	244	326	388	715	145	293	21	10	320	103	+2	+1	+0	+2	+13	1.9
2035	28	MLB MLE	LAA	55%	585	517	125	25	3	14	58	127	5	13	3	242	324	384	708	142	292	22	10	317	101	+1	+1	-0	+2	+13	1.7
2036	29	MLB MLE	LAA	53%	568	502	120	24	3	13	56	124	5	11	3	239	321	377	698	138	290	22	10	313	98	-1	+1	-1	+2	+12	1.3
2037	30	MLB MLE	LAA	53%	552	489	116	23	3	12	54	123	4	9	3	236	318	369	687	133	288	22	10	309	95	-3	+1	-2	+2	+12	1.0
2038	31	MLB MLE	LAA	52%	534	473	111	22	3	11	52	121	4	7	3	232	313	359	672	127	285	23	10	303	91	-6	+0	-2	+2	+12	0.6
2028	21	MLB CTX	LAA	34%	178	157	36	7	1	3	17	39	2	7	2	235	317	361	678	126	289	22	10	306	94	-1	+1	-1	+1	+4	0.3
2029	22	MLB CTX	LAA	48%	267	237	57	11	2	6	26	58	2	10	2	239	321	373	694	134	290	22	10	312	98	-1	+1	-1	+1	+6	0.7
2030	23	MLB CTX	LAA	54%	312	275	67	13	2	7	31	67	3	11	2	241	324	381	705	140	290	21	10	316	101	+0	+1	-1	+1	+7	0.9
2031	24	MLB CTX	LAA	55%	320	282	69	13	2	8	32	68	3	10	2	243	325	387	712	144	291	21	10	319	103	+1	+1	-0	+1	+7	1.0
2032	25	MLB CTX	LAA	56%	330	292	71	14	2	8	32	70	3	10	2	244	326	390	716	146	291	21	10	320	104	+1	+1	+0	+1	+7	1.1
2033	26	MLB CTX	LAA	56%	337	298	72	14	2	8	33	72	3	9	2	244	326	389	715	146	291	21	10	320	104	+1	+1	+0	+1	+7	1.1
2034	27	MLB CTX	LAA	55%	330	291	71	14	2	8	33	71	3	8	2	242	325	387	711	144	290	22	10	319	103	+1	+1	+0	+1	+7	1.1
2035	28	MLB CTX	LAA	55%	321	283	69	13	2	8	32	69	3	7	2	241	323	382	705	141	289	21	10	316	101	+0	+1	-0	+1	+7	0.9
2036	29	MLB CTX	LAA	53%	303	267	64	12	2	7	30	66	3	6	2	238	320	375	695	137	288	22	10	312	98	-1	+0	-1	+1	+7	0.7
2037	30	MLB CTX	LAA	53%	290	258	60	11	2	6	28	64	2	5	1	235	316	367	683	132	286	22	10	307	95	-2	+1	-1	+1	+6	0.5
2038	31	MLB CTX	LAA	52%	278	247	57	11	1	6	27	63	2	3	1	231	311	357	668	126	283	23	10	301	91	-3	+0	-1	+1	+6	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3266	2887	693	133	20	75	321	707	29	86	20	240	322	378	700	138	291	22	10	314	96	-1	+9	-5	+12	+71	8.7
/ 162G	—	A+C		—	650	575	138	26	4	15	64	141	6	17	4	240	323	377	700	137	291	22	10	314	96	-0	+2	-1	+2	+14	1.7
Career	—	MLE		—	7521	6645	1599	315	48	158	734	1664	65	292	70	241	322	374	696	133	296	22	10	311	96	-8	+17	-11	+23	+140	16.5
/ 162G	—	MLE		—	650	574	138	27	4	14	63	144	6	25	6	240	322	375	696	134	295	22	10	311	96	-1	+2	-1	+2	+14	1.7

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 ARancho Cucamonga Quakes · 446 PAwOBA .380 → .314 (−65)K% 20.2% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.18%	÷1.000	×1.360	—	—	27.44%
BB% (unintentional) /PA	13.45%	÷1.000	×0.690	—	×1.045	9.70%
HBP% /PA	0.90%	—	×0.780	—	×1.045	0.73%
Singles /BIP	24.31%	÷1.000	×0.920	×0.980	×1.045	22.91%
Doubles /BIP	9.03%	÷1.000	×0.830	×0.980	×1.045	7.68%
Triples /BIP	1.74%	÷1.000	×0.910	×0.980	×1.045	1.62%
Home runs /BIP	3.82%	÷1.000	×0.800	—	×1.045	3.19%

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 ×0.980.

Result: wOBA .380 → .314; ISO .183 → .150; BABIP .361 → .329. 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 A+Tri-City Dust Devils · 105 PAwOBA .330 → .277 (−53)K% 18.1% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷1.000	×1.350	—	—	24.43%
BB% (unintentional) /PA	14.29%	÷1.000	×0.710	—	×1.050	10.65%
HBP% /PA	0.95%	—	×0.810	—	×1.050	0.81%
Singles /BIP	22.86%	÷1.000	×0.910	×0.994	×1.050	21.71%
Doubles /BIP	8.57%	÷1.000	×0.830	×0.994	×1.050	7.43%
Triples /BIP	0.00%	÷1.000	×0.820	×0.994	×1.050	0.00%
Home runs /BIP	1.43%	÷1.000	×0.830	—	×1.050	1.24%

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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .330 → .277; ISO .101 → .084; BABIP .319 → .295. 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 ROKACL Angels · 221 PAwOBA .378 → .288 (−90)K% 18.6% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.55%	÷0.969	×1.440	—	—	27.58%
BB% (unintentional) /PA	14.03%	÷1.082	×0.620	—	×1.022	8.22%
HBP% /PA	0.45%	—	×0.720	—	×1.022	0.33%
Singles /BIP	36.17%	÷1.015	×0.820	×1.021	×1.022	30.51%
Doubles /BIP	3.55%	÷0.992	×0.720	×1.021	×1.022	2.69%
Triples /BIP	2.13%	÷1.134	×0.720	×1.021	×1.022	1.41%
Home runs /BIP	1.42%	÷0.873	×0.780	—	×1.022	1.30%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 98, 3B 127, K 94, BB 116 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .378 → .288; ISO .093 → .073; BABIP .413 → .341. 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 AInland Empire 66ers · 76 PAwOBA .389 → .350 (−39)K% 10.5% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.008	×1.360	—	—	14.20%
BB% (unintentional) /PA	13.16%	÷1.011	×0.690	—	×1.050	9.43%
HBP% /PA	2.63%	—	×0.780	—	×1.050	2.16%
Singles /BIP	31.48%	÷1.066	×0.920	×1.050	×1.050	29.94%
Doubles /BIP	9.26%	÷1.065	×0.830	×1.050	×1.050	7.96%
Triples /BIP	0.00%	÷0.997	×0.910	×1.050	×1.050	0.00%
Home runs /BIP	0.00%	÷1.036	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 113, 2B 113, 3B 99, K 102, BB 102 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .389 → .350; ISO .081 → .072; BABIP .407 → .379. 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 Angels · 217 PAwOBA .320 → .219 (−101)K% 16.1% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.13%	÷1.038	×1.220	—	—	18.96%
BB% (unintentional) /PA	14.29%	÷1.064	×0.700	—	×1.022	9.61%
HBP% /PA	0.92%	—	×0.700	—	×1.022	0.66%
Singles /BIP	21.28%	÷1.052	×0.680	×1.013	×1.022	14.25%
Doubles /BIP	7.09%	÷1.081	×0.600	×1.013	×1.022	4.08%
Triples /BIP	2.13%	÷0.961	×0.600	×1.013	×1.022	1.38%
Home runs /BIP	0.71%	÷1.068	×0.470	—	×1.022	0.32%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 116, 3B 92, K 108, BB 113 — 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 ×1.013.

Result: wOBA .320 → .219; ISO .108 → .068; BABIP .301 → .194. 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
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Chad Curtis'92-'01 * career totals — 10 seasons, 4,650 PA	7.0	4,650	101	212	253*	335*	391*	-14	-3	12.4	11.8
/162	664	14	30	-2.1	-0.4	1.8	pk7: 11
#3Gary Matthews'99-'10 * career totals — 11 seasons, 4,617 PA	7.0	4,617	108	95	247*	323*	395*	-11	-3	10.6	11.1
/162	664	16	14	-1.6	-0.4	1.5	pk7: 12
#4Marvin Benard'95-'03 * career totals — 8 seasons, 2,945 PA	4.4	2,945	54	105	259*	326*	387*	-8	+12	9.8	10.2
/162	664	12	24	-1.7	+2.6	2.2	pk7: 10
#5Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#6Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,477	78	95	242	320	380	-19	+3	8.2	7.2
/162	664	15	18	-3.6	+0.6	1.6	pk7: 6

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
Hayden Alvarez (OGILVIE)	20	—	—	—	—	229/310/342	113	291	3	9	23%	10%	88	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luke Adams 2024 · A	20	42→39	44→50	53→55	51	201/318/323	122	288	11	21	31%	11%	88	+0.4	207/347/351	144	268	15	19	27%	12%	106	+1.8	200/355/358	159	246	17	19	24%	12%	108	+1.1
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
✕Victor Robles 2017 · A	20	52→54	42→50	57→60	43	248/321/362	113	307	8	24	21%	5%	96	+1.0	250/317/385	135	312	10	24	22%	5%	99	+1.3	251/319/400	149	311	12	27	22%	5%	103	+1.2
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
✕Masyn Winn 2023 · AA	21	48→53	44→50	61→55	46	231/292/359	128	308	9	28	27%	8%	84	+0.1	243/298/376	133	291	13	16	20%	7%	90	+0.6	248/309/365	117	296	11	11	19%	7%	93	+0.8
✕Manuel Margot 2015 · A	20	48→55	44→50	56→60	48	237/288/359	122	266	11	25	16%	6%	82	-0.0	250/291/368	118	290	8	26	16%	5%	84	+0.2	247/301/391	144	290	13	20	19%	7%	95	+0.8
●Desmond Jennings 2007 · A	20	46→56	40→50	56→60	44	220/277/308	88	280	7	24	24%	6%	67	-1.1	257/319/376	119	305	9	29	18%	7%	97	+1.1	264/336/406	142	313	11	37	18%	8%	108	+1.9
●Jahmai Jones 2019 · AA	21	47→51	43→50	55→50	46	228/291/347	119	293	10	16	25%	7%	80	-0.1	206/267/305	99	276	8	12	27%	7%	62	-1.4	250/346/426	175	326	16	18	26%	11%	116	+1.4
●Eduardo Quintero 2024 · A	18	46→54	40→45	58→60	53	216/306/324	108	273	5	19	21%	10%	82	-0.0	225/320/342	117	312	9	25	28%	11%	91	+0.7	231/334/361	130	321	12	30	28%	12%	99	+1.0
✕Luisangel Acuña 2022 · A	20	46→56	43→45	55→60	44	224/285/329	105	303	11	25	29%	7%	74	-0.5	247/299/356	109	328	10	34	26%	7%	85	+0.2	257/304/361	104	328	9	39	23%	6%	84	+0.2
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
●Royce Lewis 2019 · A	20	49→51	43→60	53→50	45	240/293/355	115	293	11	17	22%	6%	83	+0.1	213/260/318	105	291	9	15	29%	5%	62	-1.4	262/323/475	213	304	29	14	24%	8%	123	+1.4
✕Delino DeShields 2013 · A	20	47→56	42→45	61→65	45	227/292/330	103	308	9	36	28%	8%	77	-0.3	238/310/344	106	319	7	37	26%	8%	87	+0.4	239/317/344	105	318	6	38	24%	9%	86	+0.3
✕Darell Hernaiz 2023 · AA	21	47→57	42→45	55→50	42	232/279/335	104	289	10	21	23%	5%	73	-0.6	259/311/362	103	308	8	14	18%	6%	91	+0.7	268/325/364	96	311	7	12	15%	7%	94	+0.7
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	223/276/341	119	284	11	22	25%	6%	74	-0.6	237/281/346	109	298	8	37	22%	5%	76	-0.4	260/302/359	100	326	7	41	21%	5%	85	+0.2
●Maikel Garcia 2022 · A	22	51→58	39→45	58→60	51	240/305/333	93	302	5	22	21%	9%	82	-0.0	250/306/350	100	317	7	27	22%	8%	86	+0.3	260/322/390	130	293	10	24	14%	8%	102	+1.4
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Jake Marisnick 2011 · A	20	42→52	41→60	55	41	206/267/310	104	276	7	18	27%	6%	63	-1.3	238/294/365	127	306	11	19	25%	5%	86	+0.3	229/291/435	206	302	27	18	33%	6%	103	+0.8

Hayden Alvarez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps