Jonathan Rangel — OGILVIE

Jonathan RangelSS ACL Brewers

Age 19 L/R 5'9" / 176 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION156 act + 14 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.154 / .214 / .154

PA14

HR0

K%36

BB%7

BABIP282

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · ContractCON 45 / POW 40

Toolsscout grade

CONTACT45

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.3	$0.5M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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)
2024	17	ROK	DSL Brewers 2	—	109	92	25	4	0	0	13	15	4	10	2	272	385	315	701	43	325	14	12	332	111	+1	+1	—	—	+2	0.5
2025	18	ROK	DSL Brewers Gold	—	159	118	34	5	7	2	31	28	4	5	0	288	451	500	951	212	340	18	19	406	161	+12	+1	—	—	+3	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 2	—	109	97	21	3	0	0	8	22	4	10	2	216	303	247	550	31	269	20	7	245	52	-6	+1	—	—	+2	-0.3
2025	18	ROK MLE	DSL Brewers Gold	—	159	130	27	4	5	2	19	43	4	5	0	208	327	362	688	154	249	27	12	290	82	-3	+1	—	—	+3	0.1
2024	17	ROK MLE	DSL Brewers 2	—	109	97	21	3	0	0	8	22	4	10	2	216	303	247	550	31	280	20	7	245	52	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 2	—	109	92	25	4	0	0	13	15	4	10	2	272	385	315	701	43	325	14	12	332	52	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Gold	—	159	130	27	4	5	2	19	43	4	5	0	208	327	362	688	154	275	27	12	290	82	—	—	—	—	—	—
2025	18	ROK RAW	DSL Brewers Gold	—	159	118	34	5	7	2	31	28	4	5	0	288	451	500	951	212	340	18	19	406	82	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	109	96	21	3	0	0	8	22	4	10	2	219	303	250	553	31	269	20	7	245	52	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Gold	—	159	135	27	4	5	2	19	43	4	5	0	200	327	348	675	148	249	27	12	290	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Brewers 2	—	109	96	21	3	0	0	8	22	4	10	2	219	303	250	553	31	269	20	7	245	52	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Gold	—	159	135	27	4	5	2	19	43	4	5	0	200	327	348	675	148	249	27	12	290	82	—	—	—	—	—	—
YTD	19	ROK MLE	MIL	—	156	129	21	5	1	4	20	69	4	6	1	163	294	310	604	147	288	44	13	269	68	-6	+1	+0	+2	+3	-0.0
▸ 2026 season
YTD	19	ROK RAW	MIL	—	156	116	29	7	2	5	32	48	4	6	1	250	425	474	899	224	364	31	21	394	68	—	—	—	—	—	—
ROS	19	ROK MLE	MIL	0%	14	13	2	0	0	0	1	5	0	0	0	154	214	154	368		284	36	7	272	70	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	MIL	—	170	142	23	5	1	4	21	74	4	6	1	162	287	296	583	134	284	44	12	269	68	-6	+1	+0	+2	+4	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	MIL	34%	224	197	39	7	2	4	22	72	3	4	1	198	288	315	603	117	287	32	10	281	76	-6	+0	+0	+2	+5	0.1
2028	21	MLB MLE	MIL	48%	351	308	63	12	3	7	35	109	5	6	1	205	296	331	627	127	288	31	10	288	81	-8	+1	+0	+4	+8	0.4
2029	22	MLB MLE	MIL	54%	442	388	82	15	4	10	44	134	7	7	2	211	303	348	651	137	289	30	10	292	84	-8	+1	+0	+5	+10	0.7
2030	23	MLB MLE	MIL	57%	503	440	94	18	4	11	50	151	8	8	2	214	305	348	653	134	290	30	10	295	86	-8	+1	+0	+5	+11	0.9
2031	24	MLB MLE	MIL	57%	543	476	102	19	4	13	54	162	8	9	2	214	305	353	658	139	291	30	10	297	87	-8	+1	+0	+6	+12	1.0
2032	25	MLB MLE	MIL	57%	566	495	105	20	4	13	57	169	9	9	2	212	305	347	652	135	291	30	10	298	87	-8	+1	+0	+6	+12	1.1
2033	26	MLB MLE	MIL	56%	578	506	109	20	5	14	58	172	9	9	2	215	307	358	665	142	291	30	10	298	88	-8	+1	+0	+6	+13	1.1
2034	27	MLB MLE	MIL	55%	581	508	109	20	5	14	59	174	9	9	2	215	307	356	664	142	291	30	10	298	88	-8	+1	+0	+6	+13	1.2
2035	28	MLB MLE	MIL	55%	578	504	106	20	4	13	60	174	9	9	2	210	305	343	649	133	290	30	10	297	87	-9	+1	-1	+6	+13	1.0
2036	29	MLB MLE	MIL	53%	569	496	105	20	4	13	59	172	9	9	2	212	307	347	654	135	290	30	10	295	86	-9	+1	-1	+6	+12	0.9
2037	30	MLB MLE	MIL	53%	559	487	101	19	4	12	58	170	9	8	2	207	303	337	640	129	289	30	10	293	84	-10	+1	-2	+6	+12	0.6
2038	31	MLB MLE	MIL	52%	546	476	98	18	4	12	57	168	8	8	2	206	301	336	637	130	287	31	10	289	82	-12	+1	-3	+6	+12	0.4
2039	32	MLB MLE	MIL	56%	528	461	93	17	4	11	54	165	8	7	2	202	296	328	624	126	283	31	10	284	78	-14	+1	-4	+6	+11	0.1
2040	33	MLB MLE	MIL	59%	498	437	86	15	4	10	51	158	7	6	1	197	291	318	609	121	279	32	10	277	74	-15	+1	-4	+5	+11	-0.3
2027	20	MLB CTX	MIL	34%	77	68	14	2	1	2	8	25	1	1	0	206	299	353	652	147	285	32	10	270	76	-2	+0	+0	+1	+2	0.1
2028	21	MLB CTX	MIL	48%	170	148	31	6	1	4	17	53	3	3	1	209	304	345	648	135	287	31	10	277	81	-4	+0	+0	+2	+4	0.2
2029	22	MLB CTX	MIL	54%	240	210	44	8	2	6	24	73	4	4	1	210	303	352	655	143	288	30	10	282	84	-5	+0	+0	+3	+5	0.4
2030	23	MLB CTX	MIL	57%	285	251	53	10	2	7	28	85	4	5	1	211	300	351	651	139	289	30	10	285	86	-5	+1	+0	+3	+6	0.5
2031	24	MLB CTX	MIL	57%	307	268	57	11	2	7	31	92	5	5	1	213	306	347	653	134	289	30	10	286	87	-5	+1	+0	+3	+7	0.6
2032	25	MLB CTX	MIL	57%	320	280	60	11	3	8	32	95	5	5	1	214	306	361	667	146	289	30	10	287	87	-5	+1	+0	+3	+7	0.6
2033	26	MLB CTX	MIL	56%	327	286	61	11	3	8	33	97	5	5	1	213	306	357	662	143	289	30	10	287	88	-5	+1	+0	+4	+7	0.7
2034	27	MLB CTX	MIL	55%	322	281	60	11	3	8	33	96	5	5	1	214	307	359	667	146	289	30	10	287	88	-5	+1	+0	+3	+7	0.6
2035	28	MLB CTX	MIL	55%	317	276	59	11	2	8	33	95	5	5	1	214	309	355	664	141	289	30	10	287	87	-5	+1	-0	+3	+7	0.6
2036	29	MLB CTX	MIL	53%	304	265	55	10	2	7	31	92	5	5	1	208	302	340	642	132	288	30	10	285	86	-5	+1	-1	+3	+7	0.5
2037	30	MLB CTX	MIL	53%	294	257	54	10	2	7	30	90	5	4	1	210	305	346	651	136	287	31	10	282	84	-5	+0	-1	+3	+6	0.3
2038	31	MLB CTX	MIL	52%	285	250	50	9	2	6	29	88	4	4	1	200	293	324	617	124	285	31	10	279	82	-6	+0	-1	+3	+6	0.2
2039	32	MLB CTX	MIL	56%	297	260	51	9	2	6	31	93	4	4	1	196	292	315	607	119	282	31	10	274	78	-8	+0	-2	+3	+6	0.0
2040	33	MLB CTX	MIL	59%	294	258	51	9	2	6	30	93	4	4	1	198	291	318	609	120	278	32	10	267	74	-9	+0	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3839	3358	700	128	29	90	390	1167	59	59	13	208	302	344	646	136	288	30	10	282	83	-73	+7	-8	+41	+83	5.1
/ 162G	—	A+C		—	650	569	119	22	5	15	66	198	10	10	2	209	302	344	647	135	290	30	10	282	83	-12	+1	-1	+7	+14	0.9
Career	—	MLE		—	7348	6419	1342	247	60	159	746	2220	116	123	27	209	303	341	643	131	290	30	10	292	83	-135	+12	-15	+76	+153	9.3
/ 162G	—	MLE		—	650	568	118	22	5	14	66	196	10	11	2	208	301	338	639	130	287	30	10	292	83	-12	+1	-1	+7	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny 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
#5Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#6Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	3,974	87	61	210	300	342	+43	+24	8.0	6.8
/162	664	15	10	+7.1	+4.0	1.3	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
Jonathan Rangel (OGILVIE)	19	45	40	45	60	190/286/302	112	284	2	3	33%	10%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Randel Alcantara 2016 · A	19	44	41→45	46→45	43	211/283/321	110	282	7	6	26%	6%	73	-0.6	197/255/304	107	263	9	6	27%	5%	58	-1.7	132/175/242	109	157	14	3	27%	3%	12	-1.3
✕Iverson Leonardo 2021 · A	19	45	40→50	47→50	44	211/284/318	107	303	5	9	30%	8%	72	-0.7	189/267/301	112	298	10	8	37%	8%	62	-1.4	154/246/261	107	253	10	8	40%	8%	44	-0.7
✕Daniel Montesino 2023 · A	19	49	40→45	48→45	46	222/303/321	99	333	6	8	32%	9%	80	-0.2	201/267/274	73	313	3	9	34%	7%	55	-2.0	174/233/224	49	287	0	8	36%	6%	28	-1.1
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Cam Maron 2010 · A	19	46→56	40	50→40	47	222/289/316	94	291	7	7	25%	8%	73	-0.6	241/308/328	87	308	7	5	22%	8%	82	+0.0	248/318/312	64	318	4	2	21%	9%	80	-0.1
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Randy Florentino 2019 · A	19	46	45→50	45	51	220/308/355	135	308	10	8	30%	11%	89	+0.5	191/267/284	93	292	7	5	34%	9%	57	-1.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Termarr Johnson 2023 · A	19	46→49	41→45	52→55	47	211/293/316	105	325	7	14	34%	10%	75	-0.5	210/312/335	125	297	14	12	31%	12%	87	+0.4	208/305/322	114	282	13	14	29%	11%	79	-0.2
✕Freizer Pedron 2006 · A	19	43	39→40	46→55	39	208/261/291	83	302	7	12	32%	6%	57	-1.8	222/284/296	74	295	3	15	24%	6%	66	-1.1	240/304/313	72	307	1	23	20%	6%	75	-0.2
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Meibrys Viloria 2015 · A	18	45→47	40→45	46→40	48	218/285/316	97	280	7	5	24%	8%	72	-0.7	233/285/324	91	297	6	3	22%	6%	72	-0.7	243/287/342	99	309	8	2	23%	5%	75	-0.2
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Juan Brito 2022 · A	20	45→48	42→50	47→45	46	221/286/323	102	285	10	12	26%	8%	74	-0.6	228/311/363	135	276	12	9	21%	10%	93	+0.8	222/308/359	137	264	13	9	20%	10%	88	+0.4
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3

Career Stats + Projections

Career Comps

Career Path Comps