John Gil

SS Rome Emperors

Age 21 R/R 5'11" / 175 lbs A+ Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP45OGV rank#115ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	A/ROKATL	370	.250/.361/.330	3	40	52	—	.199/.284/.254
2025	19	AA/AATL	487	.254/.347/.367	7	54	63	—	.217/.289/.306
2026	20	AA/A+ATL	592	.262/.360/.392	14	60	74	—	.224/.295/.337
2027PROJMLE	21	MLBATL	1	.223/.292/.327	0	0	76	0.0
2028PROJ43% MLB	22	MLBATL	219	.228/.298/.344	5	12	82	0.4
2029PROJ61% MLB	23	MLBATL	327	.232/.303/.355	8	17	86	0.7

Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$4M2032Arb-2$7M2033Arb-3$10M

Skills · percentileMiLB Statcast 2026 AA

Speed93

Chase%88

K%87

Z-Con%85

wRC+77

wOBA74

Career WAR0.0 WAR median (P10 -0.5 / P90 16, comp-based) · star 5% · didn't stick 75%

CompsMasyn Winn (age 21) · Luisangel Acuña (age 21) · Tyler Pastornicky (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†76

AVG/OBP/SLG.223 / .292 / .327

PA1

HR0

K%23

BB%8

BABIP275

ISO106

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$20M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.8M
2029	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2030	Pre-Arb	$0.8M	+1.0	$6M	+$6M
2031	Arb-1	$4M	+1.2	$7M	+$4M
2032	Arb-2	$7M	+1.2	$7M	+$2M
2033	Arb-3	$10M	+1.1	$6M	+$0.0M
Totals		$25M		$30M	+$15M

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)
2023	17	ROK	DSL Braves	—	199	158	45	9	2	1	33	34	3	20	3	285	418	386	804	101	346	17	17	362	56	—	—	—	—	—	—
2024	18	A	Augusta GreenJackets	—	159	137	28	5	1	0	19	37	0	14	2	204	301	255	557	51	275	23	12	259	39	—	—	—	—	—	—
2024	18	ROK	FCL Braves	—	211	175	50	9	0	3	28	34	7	26	6	286	405	389	793	103	338	16	13	364	61	—	—	—	—	—	—
2025	19	AA	Columbus Clingstones	—	25	23	4	0	0	0	2	7	0	4	0	174	240	174	414		250	28	8	201	-4	—	—	—	—	—	—
2025	19	A	Augusta GreenJackets	—	462	399	103	25	1	7	57	64	2	50	14	258	353	378	731	120	291	14	12	331	67	—	—	—	—	—	—
2026	20	AA	Columbus Clingstones	—	161	143	45	4	3	2	15	27	2	17	5	315	388	427	814	112	374	17	9	364	99	—	—	—	—	—	—
2026	20	A+	Rome Emperors	—	431	360	87	11	1	12	56	93	5	43	6	242	350	378	728	136	286	22	13	326	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Braves	—	199	169	32	6	1	1	22	43	3	20	3	189	294	254	548	65	232	22	11	251	56	—	—	—	—	—	—
2024	18	A MLE	Augusta GreenJackets	—	159	142	27	4	1	0	14	50	0	14	2	190	263	232	495	42	277	31	9	226	39	—	—	—	—	—	—
2024	18	ROK MLE	FCL Braves	—	211	185	38	6	0	2	18	47	7	26	6	205	300	270	570	65	258	22	9	258	61	—	—	—	—	—	—
2025	19	AA MLE	Columbus Clingstones	—	25	24	4	0	0	0	1	8	0	4	0	167	200	167	367		233	32	4	162	-4	—	—	—	—	—	—
2025	19	A MLE	Augusta GreenJackets	—	462	415	91	22	1	5	42	88	2	50	14	219	294	313	607	94	262	19	9	267	67	—	—	—	—	—	—
2026	20	AA MLE	Columbus Clingstones	—	161	147	42	4	3	2	11	33	2	17	5	286	344	395	738	109	346	20	7	314	99	—	—	—	—	—	—
2026	20	A+ MLE	Rome Emperors	—	431	383	77	9	1	11	35	122	5	43	6	201	277	316	593	115	248	28	8	263	64	—	—	—	—	—	—
2023	17	ROK MLE	DSL Braves	—	199	169	32	6	1	1	22	43	3	20	3	189	294	254	548	65	240	22	11	251	56	—	—	—	—	—	—
2023	17	ROK RAW	DSL Braves	—	199	158	45	9	2	1	33	34	3	20	3	285	418	386	804	101	346	17	17	362	56	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	370	327	65	11	1	2	32	97	7	40	8	199	284	257	541	58	273	26	9	244	51	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	370	312	78	14	1	3	47	71	7	40	8	250	361	330	691	80	311	19	13	319	51	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	487	439	95	22	1	5	43	97	2	54	14	216	289	305	594	89	265	20	9	262	63	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	487	422	107	25	1	7	59	71	2	54	14	254	347	367	714	114	289	15	12	324	63	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	592	530	119	12	4	13	46	155	7	60	11	225	295	336	631	111	286	26	8	277	74	—	—	—	—	—	—
2026	20	A+ RAW	2 teams	—	592	503	132	15	4	14	71	120	7	60	11	262	360	392	752	129	313	20	12	336	74	—	—	—	—	—	—
2023	17	ROK MLE	DSL Braves	—	199	172	32	6	1	1	22	43	3	20	3	186	294	250	544	64	232	22	11	251	56	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	370	328	65	11	1	2	32	97	7	40	8	198	284	256	540	58	266	26	9	244	51	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	487	439	95	22	1	5	43	97	2	54	14	216	289	305	594	89	261	20	9	262	63	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	592	534	119	12	4	13	46	155	7	60	11	223	295	333	628	110	275	26	8	277	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	2 teams	—	370	328	65	11	1	2	32	97	7	40	8	198	284	256	540	58	266	26	9	244	51	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	487	439	95	22	1	5	43	97	2	54	14	216	289	305	594	89	261	20	9	262	63	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	592	534	119	12	4	13	46	155	7	60	11	223	295	333	628	110	275	26	8	277	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	ATL	0%	648	585	130	19	3	12	52	147	6	36	7	223	292	327	619	105	275	23	8	280	76	-19	+4	-1	+7	+14	0.3
▸ 2027 — real world (MLB)
2027	21	MLB CTX	ATL	0%	1	1	0	0	0	0	0	0	0	0	0	223	292	327	619	105	275	0	0	280	76	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	ATL	43%	504	454	104	15	3	11	41	111	4	28	5	228	298	344	642	116	276	22	8	290	82	-11	+4	-1	+5	+11	0.9
2029	23	MLB MLE	ATL	61%	537	482	112	17	3	12	45	117	5	29	6	232	303	355	658	123	277	22	8	296	86	-9	+3	-1	+6	+12	1.2
2030	24	MLB MLE	ATL	66%	578	519	121	18	3	14	49	124	5	29	6	234	306	363	669	129	279	21	8	300	89	-7	+3	-0	+6	+13	1.5
2031	25	MLB MLE	ATL	69%	594	534	125	19	3	15	50	128	5	29	6	236	308	367	675	132	280	22	8	303	91	-6	+3	+0	+6	+13	1.7
2032	26	MLB MLE	ATL	70%	590	530	125	19	3	15	50	127	5	27	5	236	309	369	678	133	280	22	8	304	92	-6	+3	+0	+6	+13	1.7
2033	27	MLB MLE	ATL	69%	590	529	124	19	3	15	51	128	5	26	5	235	308	367	674	132	280	22	9	303	91	-6	+3	+0	+6	+13	1.6
2034	28	MLB MLE	ATL	68%	582	522	122	19	3	14	50	127	5	22	5	233	306	362	668	129	279	22	9	300	89	-7	+2	-1	+6	+13	1.3
2035	29	MLB MLE	ATL	67%	565	507	117	18	3	13	48	125	5	18	4	231	303	356	659	125	278	22	8	297	87	-9	+2	-1	+6	+12	1.0
2036	30	MLB MLE	ATL	66%	552	496	113	17	2	13	47	124	4	15	3	228	300	349	649	121	276	22	9	292	84	-11	+2	-2	+6	+12	0.7
2037	31	MLB MLE	ATL	65%	534	481	108	16	2	12	44	122	4	10	3	224	295	339	634	115	274	23	8	286	80	-13	+1	-3	+6	+12	0.3
2038	32	MLB MLE	ATL	70%	511	460	101	15	2	10	42	119	4	6	2	219	289	328	617	108	270	23	8	279	75	-15	+0	-3	+5	+11	-0.2
2028	22	MLB CTX	ATL	43%	219	197	46	7	1	5	18	48	2	12	2	228	298	344	642	116	276	22	8	290	82	-5	+2	-0	+2	+5	0.4
2029	23	MLB CTX	ATL	61%	327	294	69	10	2	8	27	71	3	17	3	232	303	355	658	123	277	22	8	296	86	-5	+2	-0	+4	+7	0.7
2030	24	MLB CTX	ATL	66%	383	345	80	12	2	9	32	82	3	20	4	234	306	363	669	129	279	21	8	300	89	-5	+2	-0	+4	+8	1.0
2031	25	MLB CTX	ATL	69%	408	366	86	13	2	10	35	88	4	20	4	236	308	367	675	132	280	22	9	303	91	-4	+2	+0	+4	+9	1.2
2032	26	MLB CTX	ATL	70%	412	370	87	13	2	11	35	89	4	19	4	236	309	369	678	133	280	22	8	304	92	-4	+2	+0	+4	+9	1.2
2033	27	MLB CTX	ATL	69%	407	365	85	13	2	10	35	88	4	18	4	235	308	367	674	132	280	22	9	303	91	-4	+2	+0	+4	+9	1.1
2034	28	MLB CTX	ATL	68%	399	359	84	13	2	10	34	87	3	15	3	233	306	362	668	129	279	22	9	300	89	-5	+2	-0	+4	+9	0.9
2035	29	MLB CTX	ATL	67%	377	339	79	12	2	9	32	84	3	12	3	231	303	356	659	125	278	22	8	297	87	-6	+1	-1	+4	+8	0.7
2036	30	MLB CTX	ATL	66%	363	326	74	11	2	8	31	82	3	10	2	228	300	349	649	121	276	23	9	292	84	-7	+1	-1	+4	+8	0.5
2037	31	MLB CTX	ATL	65%	348	313	71	11	1	8	29	80	3	7	2	224	295	339	634	115	274	23	8	286	80	-8	+1	-2	+4	+8	0.2
2038	32	MLB CTX	ATL	70%	360	325	71	11	1	7	30	84	2	4	2	219	289	328	617	108	270	23	8	279	75	-11	+0	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4003	3599	832	126	19	95	338	883	34	154	33	231	303	356	659	125	279	22	8	296	81	-64	+18	-7	+43	+87	7.7
/ 162G	—	A+C		—	650	584	134	20	3	15	55	143	6	25	5	229	302	351	653	122	277	22	8	296	81	-10	+3	-1	+7	+14	1.3
Career	—	MLE		—	7995	7168	1625	249	38	169	677	1792	72	425	88	227	300	343	643	116	277	22	8	288	81	-106	+29	-11	+68	+138	12.0
/ 162G	—	MLE		—	650	583	132	20	3	14	55	146	6	35	7	226	300	343	643	117	276	22	8	288	81	-11	+3	-1	+7	+14	1.2

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 A+Rome Emperors · 431 PAwOBA .323 → .263 (−61)K% 21.6% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.58%	÷1.000	×1.310	—	—	28.27%
BB% (unintentional) /PA	12.99%	÷1.000	×0.600	—	×1.042	8.12%
HBP% /PA	1.16%	—	×0.770	—	×1.042	0.93%
Singles /BIP	23.60%	÷1.000	×0.870	×0.975	×1.042	20.86%
Doubles /BIP	4.12%	÷1.000	×0.780	×0.975	×1.042	3.27%
Triples /BIP	0.37%	÷1.000	×0.850	×0.975	×1.042	0.32%
Home runs /BIP	4.49%	÷1.000	×0.880	—	×1.042	4.12%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .323 → .263; ISO .136 → .122; BABIP .286 → .248. 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 AAColumbus Clingstones · 161 PAwOBA .357 → .314 (−44)K% 16.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.77%	÷1.000	×1.220	—	—	20.46%
BB% (unintentional) /PA	9.32%	÷1.000	×0.680	—	×1.050	6.65%
HBP% /PA	1.24%	—	×0.840	—	×1.050	1.10%
Singles /BIP	31.03%	÷1.000	×0.920	×0.965	×1.050	28.93%
Doubles /BIP	3.45%	÷1.000	×0.910	×0.965	×1.050	3.18%
Triples /BIP	2.59%	÷1.000	×0.880	×0.965	×1.050	2.31%
Home runs /BIP	1.72%	÷1.000	×0.800	—	×1.050	1.45%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .357 → .314; ISO .112 → .098; BABIP .374 → .346. 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 AAugusta GreenJackets · 462 PAwOBA .324 → .267 (−57)K% 13.9% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.85%	÷0.984	×1.360	—	—	19.15%
BB% (unintentional) /PA	12.34%	÷0.985	×0.690	—	×1.045	9.03%
HBP% /PA	0.43%	—	×0.780	—	×1.045	0.35%
Singles /BIP	20.90%	÷1.030	×0.920	×0.984	×1.045	19.19%
Doubles /BIP	7.46%	÷0.977	×0.830	×0.984	×1.045	6.52%
Triples /BIP	0.30%	÷1.037	×0.910	×0.984	×1.045	0.27%
Home runs /BIP	2.09%	÷1.281	×0.800	—	×1.045	1.36%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 106, 2B 95, 3B 107, K 97, BB 97 — 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 ×0.984.

Result: wOBA .324 → .267; ISO .120 → .092; BABIP .291 → .262. 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 AAColumbus Clingstones · 25 PAwOBA .196 → .162 (−34)K% 28.0% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷1.011	×1.220	—	—	33.77%
BB% (unintentional) /PA	8.00%	÷1.036	×0.680	—	×1.050	5.51%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	25.00%	÷1.038	×0.920	—	×1.050	23.27%
Doubles /BIP	0.00%	÷0.951	×0.910	—	×1.050	0.00%
Triples /BIP	0.00%	÷1.108	×0.880	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.934	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 108, 2B 90, 3B 122, K 102, BB 107 — applied at half strength. Age: age 19 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average).

Result: wOBA .196 → .162; ISO .000 → .000; BABIP .250 → .233. 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 ROKFCL Braves · 211 PAwOBA .357 → .258 (−99)K% 16.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.11%	÷1.037	×1.440	—	—	22.37%
BB% (unintentional) /PA	13.27%	÷0.965	×0.620	—	×1.022	8.71%
HBP% /PA	3.32%	—	×0.720	—	×1.022	2.44%
Singles /BIP	26.95%	÷1.047	×0.820	×0.981	×1.022	21.16%
Doubles /BIP	6.38%	÷1.022	×0.720	×0.981	×1.022	4.51%
Triples /BIP	0.00%	÷1.150	×0.720	×0.981	×1.022	0.00%
Home runs /BIP	2.13%	÷1.266	×0.780	—	×1.022	1.34%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 153, 1B 109, 2B 104, 3B 130, K 107, BB 93 — 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 ×0.981.

Result: wOBA .357 → .258; ISO .103 → .068; BABIP .338 → .258. 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 AAugusta GreenJackets · 159 PAwOBA .256 → .226 (−31)K% 23.3% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.27%	÷1.009	×1.360	—	—	31.36%
BB% (unintentional) /PA	11.95%	÷0.998	×0.690	—	×1.050	8.67%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	22.00%	÷0.959	×0.920	×1.025	×1.050	22.72%
Doubles /BIP	5.00%	÷0.983	×0.830	×1.025	×1.050	4.54%
Triples /BIP	1.00%	÷1.000	×0.910	×1.025	×1.050	0.98%
Home runs /BIP	0.00%	÷1.010	×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 102, 1B 92, 2B 97, 3B 100, K 102, BB 100 — 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 ×1.025.

Result: wOBA .256 → .226; ISO .051 → .045; BABIP .275 → .277. 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).

2023 DSLDSL Braves · 199 PAwOBA .361 → .251 (−110)K% 17.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.09%	÷0.961	×1.220	—	—	21.69%
BB% (unintentional) /PA	16.58%	÷1.048	×0.700	—	×1.022	11.33%
HBP% /PA	1.51%	—	×0.700	—	×1.022	1.08%
Singles /BIP	26.61%	÷1.004	×0.680	×0.985	×1.022	18.16%
Doubles /BIP	7.26%	÷0.913	×0.600	×0.985	×1.022	4.81%
Triples /BIP	1.61%	÷1.141	×0.600	×0.985	×1.022	0.85%
Home runs /BIP	0.81%	÷0.816	×0.470	—	×1.022	0.47%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 63, 1B 101, 2B 83, 3B 128, K 92, BB 110 — 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 ×0.985.

Result: wOBA .361 → .251; ISO .101 → .066; BABIP .346 → .232. 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
#1Orlando Cabrera'97-'11 * career totals — 14 seasons, 8,255 PA	12.4	8,255	123	216	262*	308*	381*	+84	+5	19.8	19.1
/162	664	10	17	+6.8	+0.4	1.6	pk7: 18
#2Freddie Patek'68-'81 * career totals — 13 seasons, 6,246 PA	9.4	6,246	41	385	242*	311*	356*	+66	-5	14.7	15.3
/162	664	4	41	+7.0	-0.5	1.6	pk7: 16
#3Jonathan Villarlast yr '22 career totals — 10 seasons, 3,934 PA	5.9	3,934	101	239	255	322	397	+24	-40	12.8	13.9
/162	664	17	40	+4.0	-6.8	2.2	pk7: 15
#4Julio Lugo'00-'11 * career totals — 11 seasons, 5,338 PA	8.0	5,338	80	198	259*	323*	374*	+48	-38	10.5	11.7
/162	664	10	25	+6.0	-4.7	1.3	pk7: 13
#5Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	6.0	4,002	95	154	232	300	357	+43	+0	10.7	9.7
/162	664	16	26	+7.1	+0.0	1.8	pk7: 9
#6Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	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
John Gil (OGILVIE)	21	—	—	—	—	221/290/324	104	275	4	12	23%	8%	76	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Luisangel Acuña 2023 · AA	21	48→58	44→45	58→60	44	232/293/349	117	320	12	31	30%	8%	82	-0.0	255/300/354	99	326	8	35	23%	6%	85	+0.2	262/305/352	89	327	6	40	21%	5%	84	+0.1
✕Tyler Pastornicky 2011 · AA	21	49→59	39→45	58→60	49	233/290/320	87	278	6	29	18%	7%	74	-0.6	262/305/359	97	304	7	19	16%	6%	88	+0.4	278/316/373	95	318	7	16	14%	5%	93	+0.5
✕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
✕Delino DeShields 2015 · AA	22	49→56	42→45	62→65	47	234/308/343	109	312	9	41	26%	8%	86	+0.3	236/312/335	99	316	7	32	25%	9%	86	+0.3	240/319/333	93	321	6	34	25%	10%	85	+0.2
✕Kyren Paris 2023 · AA	21	44→49	45	60	43	203/291/336	132	329	12	27	38%	9%	79	-0.2	201/289/328	127	317	13	30	37%	10%	77	-0.3	189/282/319	130	294	14	35	37%	10%	71	-0.5
✕Ryan Brett 2014 · AA	22	52→58	42→45	59→60	45	252/297/361	110	301	8	27	19%	5%	86	+0.3	247/284/354	107	302	8	18	20%	4%	79	-0.2	237/269/336	99	295	8	15	22%	3%	66	-0.6
✕Jordan Lawlar 2024 · MLB	22	47→55	47→50	59→60	47	231/310/369	138	309	14	28	28%	8%	94	+0.9	240/311/398	158	324	15	25	29%	8%	100	+1.3	247/313/444	196	333	20	28	30%	7%	109	+1.0
✕Manuel Margot 2016 · AA	21	51→55	44→50	58→60	46	247/287/371	123	278	10	29	15%	5%	84	+0.1	252/294/372	120	296	9	22	17%	5%	86	+0.3	247/301/391	144	290	13	20	19%	7%	95	+0.8
✕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
✕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
✕José Rodríguez 2023 · AA	22	52→54	46→50	58→55	44	257/295/390	132	298	12	28	18%	5%	91	+0.7	238/272/362	124	290	14	26	22%	4%	76	-0.4	233/262/350	117	285	14	27	24%	3%	68	-0.5
✕Wes Rogers 2016 · A	22	47→51	39→40	65	44	225/283/314	88	297	6	35	25%	6%	70	-0.9	223/278/313	90	298	6	34	25%	6%	68	-1.0	218/272/304	87	291	6	36	26%	6%	61	-1.2
✕Rymer Liriano 2012 · A	21	48→53	44→45	57→55	40	234/282/359	125	315	11	28	29%	6%	80	-0.2	243/294/365	122	337	10	23	29%	6%	86	+0.3	242/303/365	123	343	11	20	31%	7%	87	+0.4
✕Keiner Delgado 2024 · A	20	44→49	41→45	58→60	59	210/316/313	103	251	8	30	19%	12%	84	+0.1	209/286/310	101	279	11	21	27%	8%	72	-0.7	209/287/310	101	279	12	22	28%	8%	69	-0.7
✕Jared Serna 2023 · A	21	40→48	42→45	54→50	51	196/289/300	104	251	9	21	24%	9%	71	-0.8	219/276/335	116	269	11	15	22%	6%	72	-0.7	216/271/322	106	262	11	16	21%	6%	65	-1.1
✕Roman Quinn 2014 · A	21	44→54	42→45	56→65	41	216/274/320	104	292	10	26	29%	6%	68	-1.0	246/305/348	102	331	8	33	26%	7%	86	+0.3	262/322/362	100	352	7	42	26%	7%	92	+0.4
✕Felix Valerio 2023 · AA	22	43→49	44→45	53→55	49	215/287/333	118	255	12	23	20%	8%	76	-0.4	206/269/308	102	265	9	16	25%	7%	64	-1.3	193/254/279	87	254	8	13	26%	6%	48	-1.1
✕Cooper Bowman 2023 · A	23	39→44	43→45	59→60	44	194/276/302	108	285	11	31	34%	9%	66	-1.1	210/284/328	118	287	11	35	29%	8%	74	-0.5	210/283/330	120	279	11	40	27%	8%	72	-0.5

John Gil

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps