Juan Alonso — OGILVIE

Juan AlonsoOF Rancho Cucamonga Quakes

Age 22 R/R 5'11" / 180 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 196 proj PA

wRC+†61

AVG/OBP/SLG.186 / .277 / .274

PA17

HR0

K%31

BB%9

ISO89

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 40

Toolsscout grade

CONTACT25

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED50

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
2026	MiLB	still in minors · estimated debut 2031
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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
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		$0.0M		$0.0M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2021	17	ROK	DSL Dodgers Shoemaker	—	133	117	28	6	0	1	13	32	3	6	6	239	331	316	647	77	321	24	10	301	90	-2	-1	—	—	+3	0.0
2022	18	A	Rancho Cucamonga Quakes	—	40	34	8	3	0	1	4	15	2	1	1	235	350	412	762	176	389	38	10	345	120	+1	-0	—	—	+1	0.2
2022	18	ROK	ACL Dodgers	—	174	125	36	7	1	2	40	47	7	12	2	288	483	408	891	120	436	27	23	410	164	+13	+2	—	—	+4	1.9
2023	19	A	Rancho Cucamonga Quakes	—	155	129	26	4	2	0	20	60	5	2	3	202	331	264	595	62	371	39	13	284	79	-4	-1	—	—	+3	-0.1
2023	19	ROK	ACL Dodgers	—	17	15	5	2	1	0	0	5	2	0	1	333	412	600	1.012	267	500	29	0	439	183	+2	-0	—	—	+0	0.2
2024	20	A+	Great Lakes Loons	—	58	52	12	2	0	0	4	26	2	1	0	231	310	269	580	38	462	45	7	274	71	-2	+0	—	—	+1	-0.1
2024	20	A	Rancho Cucamonga Quakes	—	347	280	64	14	4	6	48	114	13	3	4	229	367	371	738	143	349	33	14	335	113	+5	-1	—	—	+8	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	133	122	20	4	0	1	8	44	3	6	6	164	233	221	454	57	250	33	6	203	24	-12	-1	—	—	+3	-1.1
2022	18	A MLE	Rancho Cucamonga Quakes	—	40	35	6	2	0	1	3	22	2	1	1	171	275	314	589	143	349	55	8	224	38	-3	-0	—	—	+1	-0.2
2022	18	ROK MLE	ACL Dodgers	—	174	140	28	5	1	2	25	68	7	12	2	200	349	293	642	93	347	39	14	292	84	-3	+2	—	—	+4	0.2
2023	19	A MLE	Rancho Cucamonga Quakes	—	155	134	19	3	1	0	15	83	5	2	3	142	253	179	432	37	343	54	10	203	24	-14	-1	—	—	+3	-1.2
2023	19	ROK MLE	ACL Dodgers	—	17	15	3	1	1	0	0	7	2	0	1	200	294	400	694	200	383	41	0	278	74	-1	-0	—	—	+0	-0.1
2024	20	A+ MLE	Great Lakes Loons	—	58	53	7	1	0	0	3	35	2	1	0	132	207	151	358	19	416	60	5	175	5	-7	+0	—	—	+1	-0.5
2024	20	A MLE	Rancho Cucamonga Quakes	—	347	292	46	10	3	4	36	159	13	3	4	158	279	253	532	96	289	46	10	244	51	-20	-1	—	—	+8	-1.4
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	133	122	20	4	0	1	8	44	3	6	6	164	233	221	454	57	247	33	6	203	24	—	—	—	—	—	—
2021	17	ROK RAW	DSL Dodgers Shoemaker	—	133	117	28	6	0	1	13	32	3	6	6	239	331	316	647	77	321	24	10	301	24	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	214	175	33	7	1	2	28	89	9	13	3	189	330	274	604	86	360	42	13	279	75	—	—	—	—	—	—
2022	18	ROK RAW	2 teams	—	214	159	44	10	1	3	44	62	9	13	3	277	458	409	866	132	427	29	21	398	75	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	172	149	22	4	2	0	15	90	7	2	4	148	257	201	459	54	367	52	9	210	29	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	172	144	31	6	3	0	20	65	7	2	4	215	339	299	638	83	388	38	12	300	29	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	405	345	53	11	3	4	39	194	15	4	4	154	268	238	506	84	320	48	10	234	45	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	405	332	76	16	4	6	52	140	15	4	4	229	358	355	714	127	365	35	13	326	45	—	—	—	—	—	—
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	133	121	20	4	0	1	8	44	3	6	6	165	233	223	456	58	250	33	6	203	24	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	214	175	33	7	1	2	28	89	9	13	3	189	330	274	604	86	347	42	13	279	75	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	172	148	22	4	2	0	15	90	7	2	4	149	257	203	460	54	347	52	9	210	29	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	405	348	53	11	3	4	39	194	15	4	4	152	268	236	504	83	307	48	10	234	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	172	148	22	4	2	0	15	90	7	2	4	149	257	203	460	54	347	52	9	210	29	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	405	348	53	11	3	4	39	194	15	4	4	152	268	236	504	83	307	48	10	234	45	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	LAA	0%	17	15	3	1	0	0	2	5	0	0	0	200	294	267	561	67	270	29	12	258	61	-1	+0	+0	-0	+0	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAA	34%	207	182	35	7	1	3	19	61	4	4	1	192	283	291	574	99	273	29	9	271	70	-8	+0	+0	-1	+4	-0.4
2028	24	MLB MLE	LAA	46%	334	294	60	12	2	6	31	96	6	6	2	204	293	320	613	116	276	29	9	279	75	-10	+0	+0	-2	+7	-0.4
2029	25	MLB MLE	LAA	52%	417	368	76	15	2	8	39	118	7	8	3	207	295	323	618	117	277	28	9	283	78	-11	+0	+0	-3	+9	-0.4
2030	26	MLB MLE	LAA	54%	469	414	86	17	2	10	44	131	8	9	3	208	296	331	627	123	277	28	9	285	79	-12	+1	+0	-3	+10	-0.4
2027	23	MLB CTX	LAA	34%	71	63	11	2	0	1	7	21	1	1	0	175	268	254	522	79	272	30	10	257	70	-3	+0	+0	-0	+2	-0.1
2028	24	MLB CTX	LAA	46%	154	136	28	5	1	3	14	44	3	3	1	206	294	324	618	118	275	29	9	266	75	-5	+0	+0	-1	+3	-0.2
2029	25	MLB CTX	LAA	52%	215	189	39	8	1	4	20	61	4	4	1	206	296	323	619	116	276	28	9	271	78	-6	+0	+0	-1	+5	-0.2
2030	26	MLB CTX	LAA	54%	254	224	46	9	1	5	24	71	4	5	2	205	294	321	615	116	276	28	9	272	79	-6	+0	+0	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	694	612	124	24	3	13	65	197	12	13	4	203	292	315	607	113	274	28	9	269	64	-19	+1	+0	-4	+15	-0.7
/ 162G	—	A+C		—	650	573	116	22	3	12	61	185	11	12	4	202	291	314	606	112	274	28	9	269	64	-18	+1	+0	-4	+14	-0.7
Career	—	MLE		—	2368	2064	388	78	13	34	225	828	59	52	26	188	286	288	574	100	291	35	10	263	64	-41	+2	+0	-9	+31	-1.7
/ 162G	—	MLE		—	650	567	106	21	4	9	62	227	16	14	7	187	285	286	571	99	290	35	10	263	64	-18	+1	+0	-4	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.3	891	16	16	203	289	314	-5	+0	-0.8	-0.4
/162	664	12	12	-4.0	+0.0	-0.6	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Juan Alonso (OGILVIE)	22	20→25	35→40	45→50	60	186/277/274	88	270	2	3	31%	9%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Misael Urbina 2023 · A	21	38→30	41→45	48→50	44	187/255/292	104	257	8	12	29%	8%	55	-1.9	174/252/260	86	262	6	9	33%	9%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Joey Armstrong 2016 · A	22	39	37→40	44→45	44	189/248/258	70	262	5	5	29%	7%	45	-2.7	208/274/288	80	306	4	7	31%	7%	61	-1.5	208/281/288	80	312	4	8	32%	7%	60	-0.7
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Jose Paniagua 2015 · A	21	38	40→50	50→55	42	189/249/288	99	268	7	12	31%	7%	52	-2.2	198/248/295	97	288	8	8	32%	6%	53	-2.1	179/215/276	97	256	10	2	33%	3%	32	-1.0
✕Kyler Fedko 2022 · A	22	46→42	38→50	51→55	44	212/282/292	79	315	5	10	32%	8%	65	-1.2	205/287/314	109	273	10	10	27%	9%	72	-0.7	197/276/341	144	245	18	22	27%	9%	73	-0.4
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Joe DeCarlo 2016 · A	22	36→38	42→50	44→30	43	178/268/281	103	279	10	3	37%	9%	59	-1.7	196/278/333	137	279	16	3	34%	8%	74	-0.5	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Jawuan Harris 2019 · A	22	40→28	40	51→55	42	188/270/283	95	293	7	14	35%	8%	59	-1.6	164/256/247	83	313	6	19	45%	9%	47	-2.6	125/229/196	72	258	5	26	48%	10%	23	-2.1
✕Malvin Matos 2019 · A	22	43→38	39→45	48→50	44	207/272/295	88	279	6	10	26%	7%	62	-1.4	207/272/314	107	293	11	11	31%	7%	67	-1.1	192/261/297	104	266	13	13	31%	7%	55	-1.5
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Grae Kessinger 2021 · A	23	43→31	39→45	50	47	208/276/293	85	264	7	12	23%	8%	63	-1.4	191/260/296	105	257	12	15	29%	8%	59	-1.7	179/261/273	93	244	9	8	29%	9%	52	-0.9
✕Devin Mann 2019 · A	22	44	38→50	46→45	48	208/284/291	83	279	5	9	26%	9%	65	-1.2	218/288/366	148	285	17	7	28%	8%	84	+0.2	210/294/364	154	277	16	4	29%	9%	85	+0.2

Career Stats + Projections

Career Comps

Career Path Comps