Carlos Avila — OGILVIE

Carlos AvilaC ACL Dodgers

Age 22 L/R 5'11" / 180 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 128 proj PA

wRC+†58

AVG/OBP/SLG.201 / .270 / .278

PA11

HR0

K%30

BB%8

ISO77

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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	—	71	63	13	1	1	0	6	16	2	2	1	206	296	254	550	48	277	23	8	261	63	-3	+0	—	—	+2	-0.2
2022	18	ROK	DSL LAD Bautista	—	141	120	37	5	1	2	15	18	6	4	3	308	411	417	828	108	350	13	11	378	142	+7	-0	—	—	+3	1.0
2024	20	AA	Tulsa Drillers	—	20	18	2	0	0	0	2	8	0	0	0	111	200	111	311		200	40	10	160	-5	-3	+0	—	—	+0	-0.2
2024	20	ROK	ACL Dodgers	—	77	61	7	2	0	0	13	16	1	0	1	115	280	148	428	33	149	21	17	219	35	-6	-0	—	—	+2	-0.5
2025	21	A	Rancho Cucamonga Quakes	—	21	18	8	1	0	0	3	4	0	0	0	444	524	500	1.024	56	571	19	14	462	199	+2	+0	—	—	+0	0.3
2025	21	ROK	ACL Dodgers	—	49	39	11	2	0	0	7	10	2	0	0	282	417	333	750	51	367	20	14	348	122	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	71	65	11	1	1	0	4	22	2	2	1	169	239	215	455	46	236	31	6	190	15	-7	+0	—	—	+2	-0.6
2022	18	ROK MLE	DSL LAD Bautista	—	141	125	31	4	1	2	10	25	6	4	3	248	333	344	677	96	290	18	7	287	80	-3	-0	—	—	+3	-0.1
2024	20	AA MLE	Tulsa Drillers	—	20	19	2	0	0	0	1	10	0	0	0	105	150	105	255		180	50	5	113	-37	-3	+0	—	—	+0	-0.3
2024	20	ROK MLE	ACL Dodgers	—	77	66	5	1	0	0	8	23	1	0	1	76	187	91	278	15	121	30	10	150	-12	-10	-0	—	—	+2	-0.9
2025	21	A MLE	Rancho Cucamonga Quakes	—	21	19	7	1	0	0	2	5	0	0	0	368	429	421	850	53	509	24	10	370	137	+1	+0	—	—	+0	0.1
2025	21	ROK MLE	ACL Dodgers	—	49	42	8	1	0	0	4	15	2	0	0	190	292	214	506	24	291	31	8	252	57	-3	+0	—	—	+1	-0.1
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	71	65	11	1	1	0	4	22	2	2	1	169	239	215	455	46	256	31	6	190	15	—	—	—	—	—	—
2021	17	ROK RAW	DSL Dodgers Shoemaker	—	71	63	13	1	1	0	6	16	2	2	1	206	296	254	550	48	277	23	8	261	15	—	—	—	—	—	—
2022	18	ROK MLE	DSL LAD Bautista	—	141	125	31	4	1	2	10	25	6	4	3	248	333	344	677	96	296	18	7	287	80	—	—	—	—	—	—
2022	18	ROK RAW	DSL LAD Bautista	—	141	120	37	5	1	2	15	18	6	4	3	308	411	417	828	108	350	13	11	378	80	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	97	85	7	1	0	0	9	34	1	0	1	82	179	94	273	12	132	35	9	142	-17	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	97	79	9	2	0	0	15	24	1	0	1	114	263	139	402	25	158	25	15	207	-17	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	70	61	16	2	0	0	6	20	2	0	0	262	348	295	643	33	381	29	9	287	81	—	—	—	—	—	—
2025	21	ROK RAW	2 teams	—	70	57	19	3	0	0	10	14	2	0	0	333	449	386	835	53	432	20	14	383	81	—	—	—	—	—	—
2021	17	ROK MLE	DSL Dodgers Shoemaker	—	71	65	11	1	1	0	4	22	2	2	1	169	239	215	455	46	236	31	6	190	15	—	—	—	—	—	—
2022	18	ROK MLE	DSL LAD Bautista	—	141	124	31	4	1	2	10	25	6	4	3	250	333	347	680	97	290	18	7	287	80	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	97	87	7	1	0	0	9	34	1	0	1	80	179	92	271	11	133	35	9	142	-17	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	70	62	16	2	0	0	6	20	2	0	0	258	348	290	638	32	356	29	9	287	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	ROK MLE	2 teams	—	97	87	7	1	0	0	9	34	1	0	1	80	179	92	271	11	133	35	9	142	-17	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	70	62	16	2	0	0	6	20	2	0	0	258	348	290	638	32	356	29	9	287	81	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	LAD	0%	11	10	2	0	0	0	1	3	0	0	0	200	273	200	473		287	27	9	253	58	-1	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAD	34%	272	246	52	9	1	4	21	78	3	3	1	211	281	305	586	93	288	29	8	264	65	-11	+0	+0	+5	+6	-0.0
2028	24	MLB MLE	LAD	46%	361	326	70	12	2	6	28	101	4	4	1	215	285	319	604	104	290	28	8	272	70	-13	+0	+0	+6	+8	0.2
2029	25	MLB MLE	LAD	52%	407	368	80	14	2	7	32	113	4	4	1	217	287	323	610	106	290	28	8	277	73	-13	+0	+0	+7	+9	0.4
2030	26	MLB MLE	LAD	54%	436	393	86	15	2	8	35	120	5	5	2	219	291	328	619	109	290	28	8	279	75	-13	+0	+0	+8	+9	0.5
2031	27	MLB MLE	LAD	54%	447	403	87	15	2	8	36	124	5	5	2	216	288	323	611	107	290	28	8	279	75	-13	+0	+0	+8	+10	0.5
2032	28	MLB MLE	LAD	54%	449	404	87	15	2	8	37	125	5	4	2	215	289	322	611	106	289	28	8	278	75	-14	+0	-1	+8	+10	0.4
2033	29	MLB MLE	LAD	53%	443	399	86	15	2	8	36	124	5	4	1	216	289	323	612	108	288	28	8	276	73	-14	+0	-1	+8	+10	0.2
2034	30	MLB MLE	LAD	52%	436	392	83	14	2	7	36	123	5	4	1	212	286	311	598	99	287	28	8	274	71	-15	+0	-2	+8	+9	0.1
2027	23	MLB CTX	LAD	34%	93	85	17	3	0	1	7	27	1	1	0	200	269	271	539	71	284	29	8	254	65	-4	+0	+0	+2	+2	0.0
2028	24	MLB CTX	LAD	46%	167	150	32	5	1	3	13	47	2	2	1	213	285	320	605	107	285	28	8	262	70	-6	+0	+0	+3	+4	0.1
2029	25	MLB CTX	LAD	52%	210	189	41	7	1	4	17	58	2	2	1	217	288	328	617	111	286	28	8	267	73	-7	+0	+0	+4	+5	0.2
2030	26	MLB CTX	LAD	54%	236	212	46	8	1	4	19	65	3	2	1	217	291	321	611	104	286	28	8	270	75	-7	+0	+0	+4	+5	0.2
2031	27	MLB CTX	LAD	54%	242	218	47	8	1	5	19	67	3	3	1	216	287	330	618	115	285	28	8	270	75	-7	+0	+0	+4	+5	0.3
2032	28	MLB CTX	LAD	54%	244	219	47	8	1	5	20	68	3	2	1	215	289	329	618	114	285	28	8	269	75	-7	+0	-0	+4	+5	0.2
2033	29	MLB CTX	LAD	53%	235	212	45	8	1	4	19	66	2	2	1	212	283	316	599	104	284	28	8	267	73	-7	+0	-1	+4	+5	0.1
2034	30	MLB CTX	LAD	52%	229	206	43	7	1	4	19	65	2	2	1	209	282	311	593	102	283	28	8	264	71	-8	+0	-1	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1656	1491	318	54	7	30	133	463	18	16	7	213	286	319	605	106	287	28	8	266	70	-53	+0	-2	+30	+36	1.1
/ 162G	—	A+C		—	650	585	125	21	3	12	52	182	7	6	3	214	286	321	607	108	287	28	8	266	70	-21	+0	-1	+12	+14	0.4
Career	—	MLE		—	3641	3277	698	117	17	58	291	1012	47	39	16	213	287	312	599	99	288	28	8	271	70	-106	+2	-4	+58	+71	2.1
/ 162G	—	MLE		—	650	585	124	21	3	10	52	181	8	7	3	212	285	309	594	97	287	28	8	271	70	-21	+0	-1	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.7	1,784	30	18	216	284	320	+32	+20	2.3	2.3
/162	664	11	7	+11.9	+7.4	0.9	pk7: 2
#5Ryan 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
#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
Carlos Avila (OGILVIE)	22	—	—	—	—	201/270/278	77	287	1	1	30%	8%	58	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕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
✕Christopher Familia 2022 · A	22	42	38→55	47→45	43	200/270/287	86	279	5	10	28%	7%	59	-1.6	215/282/373	158	275	20	5	29%	7%	84	+0.2	208/273/389	181	258	25	2	30%	6%	81	-0.0
✕Daniel Schneemann 2019 · A	22	38→48	40→50	50	43	185/251/280	94	271	8	6	33%	8%	51	-2.3	211/270/297	86	293	7	9	28%	7%	61	-1.5	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕Wendell Rijo 2018 · AA	22	41→43	38→50	45→50	40	196/251/276	79	270	6	11	28%	5%	49	-2.4	204/260/307	103	266	9	7	26%	6%	60	-1.6	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕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
✕Riley Unroe 2018 · AA	22	40→48	37→45	47→55	44	191/259/260	69	276	4	12	31%	8%	49	-2.4	210/275/295	85	294	7	12	29%	8%	63	-1.4	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕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
✕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
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Kyle Phillips 2006 · AA	22	41→51	38→45	49→30	45	201/256/276	76	254	6	5	23%	7%	51	-2.2	225/273/314	89	274	9	3	20%	6%	66	-1.1	248/295/354	106	290	12	0	18%	6%	81	-0.0
✕Raynel Delgado 2022 · A	22	37→47	40	47→60	36	184/239/270	86	284	8	13	36%	6%	44	-2.8	212/279/303	91	297	8	18	29%	7%	66	-1.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Jamodrick McGruder 2014 · A	22	40→44	37→40	52→50	47	193/261/259	66	255	5	10	25%	8%	50	-2.3	212/286/308	96	275	7	10	23%	9%	70	-0.8	208/289/307	99	266	6	10	22%	10%	68	-0.7
✕Alejandro Flores 2017 · AAA	21	40	38→50	46→40	44	190/260/270	80	285	6	9	33%	8%	52	-2.2	209/264/327	118	291	10	6	30%	6%	66	-1.1	200/255/329	129	272	11	4	29%	6%	60	-0.8
✕Alan Rick 2006 · A	22	37	39→45	46→30	41	183/241/270	87	267	6	4	33%	7%	44	-2.8	201/262/318	117	295	12	3	34%	7%	63	-1.3	193/258/318	125	280	14	1	35%	7%	62	-0.6
✕Victor Nova 2022 · AA	22	40	38→40	48→50	44	190/263/268	78	289	5	11	34%	8%	53	-2.1	185/256/267	82	293	5	10	35%	8%	50	-2.3	99/185/154	55	173	0	7	39%	10%	-4	-1.3
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Cole Armstrong 2007 · AA	23	39→36	40→50	42→30	43	194/241/283	89	246	8	3	24%	6%	47	-2.5	218/253/337	119	276	12	2	25%	4%	64	-1.3	225/277/348	122	271	15	1	22%	6%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps