Jhon GIl

C ACL Dodgers

Age 19 R/R 5'9" / 160 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#951ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL LAD Bauti…	150	.311/.436/.410	1	14	55	—	.192/.295/.238
2026	18	ROKLAD	128	.296/.397/.370	2	10	66	—	.237/.310/.298
2027PROJMLE	19	MLBLAD	238	.223/.292/.298	2	6	69	0.1
2028PROJ34% MLB	20	MLBLAD	42	.222/.294/.305	0	1	74	0.1
2029PROJ48% MLB	21	MLBLAD	106	.226/.298/.317	2	3	78	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

K%82

Whiff%62

wRC+55

Z-Con%48

wOBA44

BB%30

Career WAR0.0 WAR median (P10 0.0 / P90 7.9, comp-based) · star 2% · didn't stick 86%

CompsCristofer Torin (age 19) · Nacho Alvarez Jr. (age 20) · Cooper Pratt (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 66 proj PA

wRC+†69

AVG/OBP/SLG.221 / .290 / .296

PA66

HR1

K%24

BB%8

ISO76

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · ContractCON 55 / POW 25

Toolsscout grade

CONTACT55

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.5	$1M	+$0.1M
2037	Arb-2	$3M	+0.4	$0.7M	+$0.0M (cut)
2038	Arb-3	$3M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2025	17	ROK	DSL LAD Bautista	—	150	122	38	7	1	1	24	20	3	14	0	311	436	410	846	98	363	13	16	386	55	—	—	—	—	—	—
2026	18	ROK	ACL Dodgers	—	128	108	32	2	0	2	16	19	2	10	5	296	397	370	767	74	341	15	12	349	66	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Bautista	—	150	130	25	4	1	0	16	24	3	14	0	192	295	238	534	46	226	16	11	249	55	—	—	—	—	—	—
2026	18	ROK MLE	ACL Dodgers	—	128	114	27	1	0	2	10	27	2	10	5	237	310	298	608	61	285	21	8	266	66	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Bautista	—	150	130	25	4	1	0	16	24	3	14	0	192	295	238	534	46	234	16	11	249	55	—	—	—	—	—	—
2025	17	ROK RAW	DSL LAD Bautista	—	150	122	38	7	1	1	24	20	3	14	0	311	436	410	846	98	363	13	16	386	55	—	—	—	—	—	—
2026	18	ROK MLE	ACL Dodgers	—	128	114	27	1	0	2	10	27	2	10	5	237	310	298	608	61	291	21	8	266	66	—	—	—	—	—	—
2026	18	ROK RAW	ACL Dodgers	—	128	108	32	2	0	2	16	19	2	10	5	296	397	370	767	74	341	15	12	349	66	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Bautista	—	150	130	25	4	1	0	16	24	3	14	0	192	295	238	534	46	226	16	11	249	55	—	—	—	—	—	—
2026	18	ROK MLE	ACL Dodgers	—	128	115	27	1	0	2	10	27	2	10	5	235	310	296	605	61	285	21	8	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL LAD Bautista	—	150	130	25	4	1	0	16	24	3	14	0	192	295	238	534	46	226	16	11	249	55	—	—	—	—	—	—
2026	18	ROK MLE	ACL Dodgers	—	128	115	27	1	0	2	10	27	2	10	5	235	310	296	605	61	285	21	8	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	LAD	0%	238	215	47	7	1	2	19	58	2	6	1	223	292	298	591	76	291	24	8	270	69	-9	+1	+0	+4	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	LAD	34%	122	110	25	4	1	1	10	29	1	3	1	226	298	312	609	85	293	24	8	278	74	-4	+0	+0	+2	+3	0.1
2029	21	MLB MLE	LAD	48%	218	195	45	7	1	3	18	52	3	5	1	230	302	323	625	94	294	24	8	284	78	-6	+1	+0	+4	+5	0.4
2030	22	MLB MLE	LAD	54%	329	295	69	11	2	5	27	77	4	8	2	232	304	332	637	100	294	23	8	289	82	-7	+1	+0	+6	+7	0.7
2031	23	MLB MLE	LAD	57%	409	368	85	13	2	7	33	95	5	10	2	234	307	340	647	106	295	23	8	293	84	-8	+1	+0	+7	+9	1.0
2032	24	MLB MLE	LAD	57%	445	400	95	15	3	8	37	103	5	11	3	236	308	346	654	110	296	23	8	296	86	-7	+1	+0	+8	+10	1.2
2033	25	MLB MLE	LAD	57%	445	400	95	15	3	8	37	103	5	11	3	236	309	347	656	111	296	23	8	296	87	-7	+1	+0	+8	+10	1.2
2034	26	MLB MLE	LAD	56%	445	400	95	15	3	8	37	103	5	11	3	236	309	347	656	111	296	23	8	296	87	-7	+1	+0	+8	+10	1.2
2035	27	MLB MLE	LAD	55%	445	400	95	15	3	8	37	104	5	11	3	235	308	345	652	110	295	23	8	295	86	-8	+1	+0	+8	+10	1.1
2036	28	MLB MLE	LAD	55%	445	400	93	14	2	8	37	105	5	10	3	233	306	340	646	107	294	24	8	292	84	-9	+1	-1	+8	+10	0.9
2037	29	MLB MLE	LAD	53%	445	401	91	14	2	7	36	106	5	9	3	231	303	334	636	103	293	24	8	288	81	-10	+1	-1	+8	+10	0.7
2038	30	MLB MLE	LAD	53%	445	401	91	14	2	7	36	108	5	9	3	228	299	326	625	98	291	24	8	284	78	-12	+1	-2	+8	+10	0.5
2039	31	MLB MLE	LAD	52%	426	385	86	13	2	6	34	105	4	7	3	224	294	316	610	92	288	25	8	278	74	-13	+0	-3	+8	+9	0.1
2040	32	MLB MLE	LAD	52%	407	368	80	12	2	5	32	102	4	6	4	218	288	304	592	85	284	25	8	270	69	-15	-0	-4	+7	+9	-0.3
2028	20	MLB CTX	LAD	34%	42	39	7	1	0	0	3	10	0	1	0	222	294	305	599	83	287	24	7	274	74	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	LAD	48%	106	95	22	3	1	2	9	25	1	3	1	226	298	317	615	91	287	24	8	280	78	-3	+0	+0	+2	+2	0.2
2030	22	MLB CTX	LAD	54%	178	160	36	5	1	3	14	42	2	4	1	228	301	326	627	98	288	24	8	285	82	-4	+0	+0	+3	+4	0.4
2031	23	MLB CTX	LAD	57%	232	208	48	7	1	4	19	54	3	6	1	230	303	334	637	104	289	23	8	289	84	-4	+1	+0	+4	+5	0.6
2032	24	MLB CTX	LAD	57%	252	226	53	8	1	5	21	59	3	6	1	232	305	340	645	108	290	23	8	292	86	-4	+1	+0	+4	+5	0.7
2033	25	MLB CTX	LAD	57%	251	225	52	8	1	5	21	58	3	6	1	232	305	342	647	109	290	23	8	293	87	-4	+1	+0	+4	+5	0.7
2034	26	MLB CTX	LAD	56%	251	225	52	8	1	5	21	58	3	6	1	232	305	342	647	110	289	23	8	293	87	-4	+1	+0	+4	+5	0.7
2035	27	MLB CTX	LAD	55%	247	222	52	8	1	5	20	58	3	6	1	231	304	339	643	108	289	23	8	291	86	-4	+1	+0	+4	+5	0.6
2036	28	MLB CTX	LAD	55%	244	219	49	7	1	4	20	58	3	5	1	229	302	334	637	105	288	24	8	288	84	-5	+1	-0	+4	+5	0.5
2037	29	MLB CTX	LAD	53%	238	214	48	7	1	4	19	57	3	5	1	227	299	328	627	101	287	24	8	285	81	-5	+1	-1	+4	+5	0.4
2038	30	MLB CTX	LAD	53%	234	211	47	7	1	4	19	57	2	5	1	224	296	320	616	96	285	24	8	280	78	-6	+1	-1	+4	+5	0.3
2039	31	MLB CTX	LAD	52%	222	200	43	6	1	3	18	55	2	4	2	220	291	310	601	91	282	25	8	274	74	-7	+0	-1	+4	+5	0.0
2040	32	MLB CTX	LAD	52%	211	190	42	6	1	3	17	53	2	3	2	215	285	298	583	84	279	25	8	267	69	-8	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2708	2434	551	81	12	47	221	644	30	60	14	226	299	327	626	101	287	24	8	285	80	-59	+6	-6	+48	+59	5.0
/ 162G	—	A+C		—	650	584	132	19	3	11	53	155	7	14	3	226	298	325	623	99	287	24	8	285	80	-14	+2	-1	+12	+14	1.2
Career	—	MLE		—	5370	4827	1110	169	29	84	442	1259	62	137	39	230	303	329	632	99	292	23	8	287	80	-114	+9	-10	+91	+110	8.8
/ 162G	—	MLE		—	650	584	134	20	4	10	54	152	8	17	5	229	304	329	633	99	292	23	8	287	80	-15	+1	-1	+12	+14	1.1

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 Dodgers · 128 PAwOBA .343 → .266 (−77)K% 14.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.84%	÷1.000	×1.440	—	—	21.38%
BB% (unintentional) /PA	12.50%	÷1.000	×0.620	—	×1.008	7.81%
HBP% /PA	1.56%	—	×0.720	—	×1.008	1.13%
Singles /BIP	31.46%	÷1.000	×0.820	×1.024	×1.008	26.61%
Doubles /BIP	2.25%	÷1.000	×0.720	×1.024	×1.008	1.67%
Triples /BIP	0.00%	÷1.000	×0.720	×1.024	×1.008	0.00%
Home runs /BIP	2.25%	÷1.000	×0.780	—	×1.008	1.77%

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 ×1.024.

Result: wOBA .343 → .266; ISO .074 → .058; BABIP .341 → .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).

2025 DSLDSL LAD Bautista · 150 PAwOBA .379 → .249 (−130)K% 13.3% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷1.007	×1.220	—	—	16.16%
BB% (unintentional) /PA	16.00%	÷1.022	×0.700	—	×1.008	11.04%
HBP% /PA	2.00%	—	×0.700	—	×1.008	1.41%
Singles /BIP	28.43%	÷1.031	×0.680	×0.980	×1.008	18.52%
Doubles /BIP	6.86%	÷1.093	×0.600	×0.980	×1.008	3.72%
Triples /BIP	0.98%	÷1.150	×0.600	×0.980	×1.008	0.51%
Home runs /BIP	0.98%	÷1.075	×0.470	—	×1.008	0.43%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 106, 2B 119, 3B 130, K 101, BB 104 — 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 ×0.980.

Result: wOBA .379 → .249; ISO .098 → .053; BABIP .363 → .226. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,774	45	62	232	301	335	+50	+32	7.0	6.2
/162	664	11	15	+11.9	+7.7	1.7	pk7: 5
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#6Jake Gibbs'63-'71 * career totals — 7 seasons, 1,795 PA	2.7	1,795	25	28	244*	299*	362*	+32	+0	5.4	5.4
/162	664	9	10	+11.9	+0.0	2.0	pk7: 5

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
Jhon GIl (OGILVIE)	19	55	25	60	60	221/290/296	75	291	1	2	24%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Nacho Alvarez Jr. 2023 · A	20	51→54	39→40	55→50	58	237/332/330	93	293	6	14	20%	12%	93	+0.8	243/319/335	92	311	8	14	23%	8%	88	+0.5	244/321/332	88	312	8	14	22%	8%	87	+0.2
✕Cooper Pratt 2024 · A	19	49→52	37→40	54→55	41	226/288/305	78	332	4	11	31%	6%	70	-0.9	228/299/323	95	293	8	23	23%	8%	78	-0.3	229/306/324	95	284	8	29	21%	9%	81	-0.1
✕Derrik Gibson 2010 · A	20	48→56	37→40	56→55	45	224/290/300	76	303	3	16	26%	7%	70	-0.9	206/266/261	55	280	1	18	25%	7%	51	-2.3	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Isiah Kiner-Falefa 2014 · A	19	51→58	34→40	50→55	44	236/285/290	53	305	2	14	22%	6%	64	-1.3	241/294/285	44	301	1	9	19%	6%	67	-1.1	265/312/343	78	301	6	21	14%	5%	87	+0.3
✕Marcus Lemon 2007 · A	19	49→55	37→40	55→45	52	229/297/306	77	281	3	16	19%	9%	73	-0.6	243/304/333	90	311	4	9	22%	7%	82	-0.0	249/308/338	89	311	4	8	20%	7%	81	-0.0
✕Rubén Tejada 2008 · A	18	51→61	38→40	51→50	50	240/318/319	79	291	5	13	18%	8%	85	+0.2	237/292/307	70	286	3	9	17%	6%	72	-0.7	264/320/329	64	312	2	6	15%	6%	86	+0.3
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Dameury Pena 2024 · A	18	49→59	36→30	53→55	51	226/285/298	73	256	2	16	13%	7%	67	-1.1	228/286/308	80	252	6	15	12%	7%	70	-0.9	241/299/311	70	264	6	18	11%	6%	73	-0.4
✕José Mejía 2024 · A	18	47→45	37→40	52→50	50	220/299/296	76	279	4	16	21%	8%	72	-0.7	209/295/292	83	249	5	20	17%	9%	70	-0.8	206/298/295	89	251	6	19	19%	10%	70	-0.4
✕Jose Escobar 2024 · A	19	46→56	39→40	55→45	42	220/276/306	85	277	6	14	22%	5%	65	-1.2	227/297/326	99	296	8	9	24%	7%	78	-0.3	236/304/334	98	303	8	8	23%	7%	80	-0.1
✕Luisangel Acuña 2021 · A	19	46→56	37→45	51→60	54	217/290/290	73	257	3	13	16%	9%	67	-1.1	237/295/343	106	326	11	30	28%	7%	81	-0.1	250/307/357	107	337	11	39	27%	7%	86	+0.2
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Tim Lopes 2013 · A	19	48→58	37→45	55	47	222/273/314	92	274	2	8	19%	6%	65	-1.2	233/277/307	74	298	3	13	21%	5%	65	-1.2	267/317/348	81	330	3	20	19%	6%	87	+0.3
✕Luis Lara 2024 · A	19	46→56	36→40	52→60	49	218/283/285	67	271	3	18	20%	7%	63	-1.3	235/308/311	76	297	4	28	21%	8%	79	-0.2	245/323/325	80	308	5	31	20%	9%	86	+0.3
✕Alexander Albertus 2023 · A	18	48	35→45	54→45	60	217/327/281	64	275	2	9	20%	13%	80	-0.1	229/324/321	92	284	8	10	20%	11%	88	+0.4	229/322/327	98	289	9	8	22%	11%	87	+0.1
✕Cody Podraza 2007 · A	19	50	37→40	54→50	43	229/307/315	86	302	3	17	23%	6%	80	-0.2	231/294/308	77	298	4	16	22%	6%	73	-0.6	233/276/318	85	293	5	15	21%	4%	66	-0.5
✕Braulio Vasquez 2018 · A	19	47	34→40	52→65	44	215/281/268	53	304	1	15	28%	7%	59	-1.7	198/257/271	73	304	5	8	34%	6%	51	-2.3	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Luis Santana 2018 · A	19	48	37→45	53→50	53	218/293/303	85	243	3	11	12%	7%	72	-0.7	240/312/325	85	281	5	9	16%	7%	84	+0.1	232/299/348	116	287	12	10	23%	6%	81	-0.0
✕Abiatal Avelino 2015 · A	20	48→54	37→45	54→55	45	226/278/307	81	281	4	18	20%	6%	66	-1.1	236/280/321	85	295	5	22	21%	5%	70	-0.9	253/294/359	106	312	9	19	21%	5%	80	-0.1

Jhon GIl

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps