Jorge Ruiz — OGILVIE

Jorge RuizLF Tri-City Dust Devils

Age 22 L/L 5'10" / 164 lbs A+ K +5%HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION423 act + 10 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.200 / .200 / .200

PA10

HR0

K%20

BB%5

BABIP264

ISO70

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE35

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-1M	+$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 Angels	—	212	174	47	9	2	1	22	25	11	19	6	270	386	362	749	92	305	12	10	340	116	+4	+1	—	—	+5	1.0
2022	18	ROK	ACL Angels	—	222	203	68	12	2	0	12	20	4	8	2	335	384	414	797	79	370	9	5	355	126	+7	+1	—	—	+5	1.3
2023	19	A	Inland Empire 66ers	—	342	296	90	19	3	3	28	54	10	13	4	304	383	419	802	115	358	16	8	354	126	+11	+1	—	—	+7	1.9
2024	20	A+	Tri-City Dust Devils	—	241	220	33	4	1	1	12	50	3	8	4	150	204	191	395	41	187	21	5	182	9	-26	+0	—	—	+5	-2.1
2024	20	A	Inland Empire 66ers	—	224	192	54	8	4	2	20	36	3	10	2	281	358	396	754	115	331	16	9	327	107	+2	+1	—	—	+5	0.8
2025	21	A	Inland Empire 66ers	—	550	478	136	23	6	1	47	92	9	22	9	285	360	364	724	79	347	17	9	321	103	+2	+1	—	—	+12	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Angels	—	212	183	40	7	2	1	13	36	11	19	6	219	309	295	604	77	251	17	6	264	65	-9	+1	—	—	+5	-0.3
2022	18	ROK MLE	ACL Angels	—	222	207	56	9	1	0	8	28	4	8	2	271	311	324	634	53	304	13	4	275	72	-7	+1	—	—	+5	-0.2
2023	19	A MLE	Inland Empire 66ers	—	342	304	81	16	2	3	20	73	10	13	4	266	332	362	694	95	323	21	6	303	91	-4	+1	—	—	+7	0.5
2024	20	A+ MLE	Tri-City Dust Devils	—	241	225	29	3	1	1	7	69	3	8	4	129	166	164	330	36	173	29	3	146	-15	-33	+0	—	—	+5	-2.8
2024	20	A MLE	Inland Empire 66ers	—	224	199	51	7	3	2	13	50	3	10	2	256	312	352	663	95	305	22	6	281	76	-6	+1	—	—	+5	-0.0
2025	21	A MLE	Inland Empire 66ers	—	550	492	118	18	5	1	33	122	9	22	9	240	300	303	602	63	301	22	6	262	63	-24	+1	—	—	+12	-1.1
2021	17	ROK MLE	DSL Angels	—	212	183	40	7	2	1	13	36	11	19	6	219	309	295	604	77	262	17	6	264	65	—	—	—	—	—	—
2021	17	ROK RAW	DSL Angels	—	212	174	47	9	2	1	22	25	11	19	6	270	386	362	749	92	305	12	10	340	65	—	—	—	—	—	—
2022	18	ROK MLE	ACL Angels	—	222	207	56	9	1	0	8	28	4	8	2	271	311	324	634	53	311	13	4	275	72	—	—	—	—	—	—
2022	18	ROK RAW	ACL Angels	—	222	203	68	12	2	0	12	20	4	8	2	335	384	414	797	79	370	9	5	355	72	—	—	—	—	—	—
2023	19	A MLE	Inland Empire 66ers	—	342	304	81	16	2	3	20	73	10	13	4	266	332	362	694	95	336	21	6	303	91	—	—	—	—	—	—
2023	19	A RAW	Inland Empire 66ers	—	342	296	90	19	3	3	28	54	10	13	4	304	383	419	802	115	358	16	8	354	91	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	465	423	80	10	4	3	21	119	6	18	6	189	238	253	491	64	252	26	5	211	29	—	—	—	—	—	—
2024	20	A+ RAW	2 teams	—	465	412	87	12	5	3	32	86	6	18	6	211	278	286	564	75	256	18	7	252	29	—	—	—	—	—	—
2025	21	A MLE	Inland Empire 66ers	—	550	492	118	18	5	1	33	122	9	22	9	240	300	303	602	63	314	22	6	262	63	—	—	—	—	—	—
2025	21	A RAW	Inland Empire 66ers	—	550	478	136	23	6	1	47	92	9	22	9	285	360	364	724	79	347	17	9	321	63	—	—	—	—	—	—
2021	17	ROK MLE	DSL Angels	—	212	186	40	7	2	1	13	36	11	19	6	215	309	290	600	75	251	17	6	264	65	—	—	—	—	—	—
2022	18	ROK MLE	ACL Angels	—	222	208	56	9	1	0	8	28	4	8	2	269	311	322	633	53	304	13	4	275	72	—	—	—	—	—	—
2023	19	A MLE	Inland Empire 66ers	—	342	309	81	16	2	3	20	73	10	13	4	262	332	356	688	94	323	21	6	303	91	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	465	435	80	10	4	3	21	119	6	18	6	184	238	246	484	62	237	26	5	211	29	—	—	—	—	—	—
2025	21	A MLE	Inland Empire 66ers	—	550	503	118	18	5	1	33	122	9	22	9	235	300	296	596	62	301	22	6	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Inland Empire 66ers	—	342	309	81	16	2	3	20	73	10	13	4	262	332	356	688	94	323	21	6	303	91	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	465	435	80	10	4	3	21	119	6	18	6	184	238	246	484	62	237	26	5	211	29	—	—	—	—	—	—
2025	21	A MLE	Inland Empire 66ers	—	550	503	118	18	5	1	33	122	9	22	9	235	300	296	596	62	301	22	6	262	63	—	—	—	—	—	—
YTD	22	A+ MLE	LAA	—	423	397	86	15	4	4	14	85	4	14	5	217	251	305	555	88	265	20	3	238	47	-27	+1	+0	-5	+9	-2.2
▸ 2026 season
YTD	22	A+ RAW	LAA	—	423	388	100	19	5	5	23	61	4	14	5	258	306	371	677	113	293	14	5	298	47	—	—	—	—	—	—
ROS	22	A+ MLE	LAA	0%	10	10	2	0	0	0	0	2	0	0	0	200	200	200	400		265	20	0	247	53	-1	+0	+0	-0	+0	-0.0
TOT	22	A+ MLE	LAA	—	433	407	88	15	4	4	14	87	4	14	5	216	249	302	552	86	264	20	3	238	47	-27	+1	+0	-5	+9	-2.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAA	35%	570	533	119	20	5	8	27	115	5	14	5	223	267	325	592	101	267	20	5	263	64	-24	+1	+0	-6	+12	-1.8
2028	24	MLB MLE	LAA	46%	597	555	126	21	5	10	31	120	6	15	5	227	275	337	612	110	270	20	5	273	71	-21	+1	+0	-6	+13	-1.3
2029	25	MLB MLE	LAA	52%	615	571	131	22	5	12	33	123	6	15	5	229	279	349	627	119	271	20	5	279	75	-18	+1	+0	-7	+13	-1.1
2030	26	MLB MLE	LAA	54%	627	581	134	23	5	12	35	126	6	15	6	231	281	349	631	119	271	20	6	282	77	-17	+1	+0	-7	+14	-1.0
2027	23	MLB CTX	LAA	35%	197	184	42	7	2	3	9	40	2	5	2	228	272	337	609	109	266	20	5	256	64	-8	+0	+0	-2	+4	-0.6
2028	24	MLB CTX	LAA	46%	276	257	59	10	2	5	14	55	3	7	2	230	277	342	620	113	269	20	5	266	71	-9	+1	+0	-3	+6	-0.6
2029	25	MLB CTX	LAA	52%	318	295	68	11	3	6	17	64	3	8	3	231	279	349	629	119	270	20	5	272	75	-9	+0	+0	-3	+7	-0.6
2030	26	MLB CTX	LAA	54%	340	315	73	12	3	7	19	68	3	8	3	232	282	356	637	124	271	20	6	275	77	-9	+0	+0	-4	+7	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1131	1051	242	40	10	21	59	227	11	28	10	230	278	347	626	117	273	20	5	269	67	-37	+2	+0	-12	+25	-2.3
/ 162G	—	A+C		—	650	604	139	23	6	12	34	130	6	16	6	230	278	348	625	118	273	20	5	269	67	-21	+1	+0	-7	+14	-1.3
Career	—	MLE		—	4210	3859	887	146	34	50	221	864	63	139	48	230	283	324	607	94	281	21	5	268	67	-81	+3	+0	-26	+52	-5.2
/ 162G	—	MLE		—	650	596	137	23	5	8	34	133	10	21	7	230	283	326	608	96	281	20	5	268	67	-22	+1	+0	-7	+14	-1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4
#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 2 projected seasons	1.7	1,133	20	28	229	274	342	-7	+0	-1.0	-0.5
/162	664	12	16	-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
Jorge Ruiz (OGILVIE)	22	50	25	50	35	213/254/291	78	265	2	9	20%	4%	53	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Elias Arias 2016 · A	22	45	36→30	46→55	46	211/274/274	63	275	4	13	24%	7%	57	-1.8	200/254/283	83	304	6	9	34%	6%	52	-2.2	161/210/245	83	254	7	9	38%	5%	23	-0.9
✕Rashad Brown 2016 · A	22	52	35→30	54→55	44	242/288/300	58	306	2	12	21%	5%	68	-1.0	225/269/290	65	308	2	14	26%	5%	59	-1.7	220/263/269	49	307	0	18	27%	4%	48	-1.5
✕Juan Hernandez 2018 · A	22	48	35→30	47→55	50	223/291/276	53	277	2	13	20%	8%	64	-1.3	220/288/298	78	283	4	9	22%	7%	68	-1.0	228/303/295	68	281	3	10	18%	7%	70	-0.2
✕Símon Muzziotti 2021 · A	22	47→55	37→40	49→55	44	224/264/294	70	273	4	16	20%	5%	57	-1.8	234/286/327	93	289	7	17	20%	7%	74	-0.6	235/283/332	97	290	8	20	21%	6%	71	-0.4
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Jordan Scott 2014 · A	22	48→49	35→30	50	47	224/281/282	59	289	1	13	22%	7%	61	-1.5	232/284/321	89	301	4	13	22%	7%	72	-0.7	259/304/375	115	327	2	15	20%	6%	87	+0.2
✕Ian Miller 2014 · A	22	48→58	36→40	48→60	43	227/282/290	62	301	4	15	25%	6%	63	-1.3	237/281/297	60	307	1	28	22%	6%	64	-1.3	257/300/315	58	320	1	39	19%	5%	72	-0.6
✕Wilbis Santiago 2018 · A	22	48	37→40	52→30	42	223/265/303	80	261	3	8	16%	3%	60	-1.6	235/267/314	79	269	3	5	14%	3%	63	-1.4	254/278/328	74	282	3	2	11%	2%	68	-0.3
✕Andy Sugilio 2019 · A	22	50→51	39→40	51→50	39	238/266/323	85	298	6	13	22%	4%	64	-1.3	232/264/297	65	316	4	14	27%	4%	58	-1.7	234/266/279	45	326	3	17	28%	4%	51	-1.2
✕Braxton Lee 2017 · AA	23	48→58	33→30	46→50	45	221/267/266	45	276	1	16	20%	6%	52	-2.2	236/289/298	62	308	2	13	22%	7%	68	-1.0	240/297/302	61	319	2	12	24%	7%	69	-0.7
✕Michael Smith 2019 · A	22	46	36→30	48→50	44	214/277/279	65	288	3	9	25%	6%	60	-1.6	210/274/277	67	309	3	13	31%	7%	58	-1.7	212/281/271	59	301	3	17	28%	7%	57	-1.2
✕Carlos Rodríguez 2023 · A	22	46→56	38→40	51→55	44	218/277/303	85	299	5	16	28%	7%	65	-1.2	249/302/325	76	299	4	15	17%	7%	78	-0.3	250/303/320	70	288	5	18	14%	7%	75	-0.4
✕Jovan Pickett 2010 · A	22	43	34→30	53→55	38	203/251/250	46	275	2	20	26%	4%	42	-2.9	221/277/275	54	311	2	17	28%	5%	59	-1.7	238/299/275	37	343	0	22	28%	4%	63	-0.5
✕Jean Angomas 2017 · A	22	48	37→40	49→50	44	224/256/302	78	259	3	10	15%	4%	56	-1.9	229/265/301	72	268	4	10	15%	5%	59	-1.7	230/263/281	51	267	4	11	15%	4%	52	-0.8
✕Joe Munoz 2008 · A	22	43	36→30	51→55	44	202/275/270	69	257	2	16	21%	6%	58	-1.7	204/255/269	65	274	3	9	25%	4%	49	-2.4	197/231/226	29	265	0	9	25%	2%	27	-1.1
✕Devan Ahart 2015 · A	22	53	38→40	50	44	253/284/340	87	291	4	15	15%	4%	75	-0.5	231/280/326	95	292	7	12	22%	6%	71	-0.8	221/277/317	96	285	7	12	24%	7%	66	-0.5
✕Lee Haydel 2008 · A	21	45→55	35→30	50→55	38	211/242/277	66	278	1	10	24%	4%	45	-2.7	241/270/303	62	332	1	20	26%	4%	61	-1.5	253/292/304	51	339	1	17	24%	5%	66	-0.8
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
✕Beau Amaral 2013 · A	22	48→52	36→40	56→55	44	227/274/294	68	270	3	16	17%	5%	61	-1.5	227/269/301	74	285	4	18	21%	5%	61	-1.5	229/276/316	86	293	6	12	23%	5%	64	-0.8
✕Zack Granite 2015 · A	22	49→59	35→40	48→60	47	228/274/288	60	270	2	11	16%	6%	59	-1.6	250/298/319	69	295	3	24	15%	6%	76	-0.4	264/312/336	73	303	3	30	13%	6%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps