Gabriel Davalillo

C Rancho Cucamonga Quakes

Age 19 R/R 5'11" / 210 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#579ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKLAA	169	.302/.416/.518	7	3	72	—	.207/.307/.338
2026	18	ALAA	459	.245/.342/.398	13	1	63	—	.197/.273/.310
2027PROJMLE	19	MLBLAA	569	.212/.281/.346	15	6	77	0.2
2028PROJ34% MLB	20	MLBLAA	143	.218/.290/.366	4	2	85	0.2
2029PROJ48% MLB	21	MLBLAA	216	.224/.297/.384	7	2	92	0.4

Next 3 projected WAR 0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$4M+2

Skills · percentileMiLB Statcast 2026 A

ISO61

Z-Con%44

BB%40

wOBA39

wRC+37

K%33

Career WAR0.0 WAR median (P10 -0.7 / P90 15, comp-based) · star 3% · didn't stick 79%

CompsDaniel Robertson (age 20) · Luis Campusano (age 19) · Mark Vientos (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†77

AVG/OBP/SLG.210 / .279 / .343

PA210

HR5

K%31

BB%8

ISO134

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$31M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2033	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2034	Arb-1	$4M	+1.0	$5M	+$3M
2035	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2036	Arb-3	$8M	+0.8	$2M	+$0.0M (cut)
Totals		$7M		$18M	+$11M

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 Angels	—	169	139	42	7	1	7	23	21	4	3	0	302	416	518	934	216	307	12	14	406	72	—	—	—	—	—	—
2026	18	A	Rancho Cucamonga Quakes	—	459	392	96	21	0	13	51	125	7	1	0	245	342	398	740	153	316	27	11	329	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Angels	—	169	145	30	5	1	4	17	25	4	3	0	207	307	338	645	131	208	15	10	274	72	—	—	—	—	—	—
2026	18	A MLE	Rancho Cucamonga Quakes	—	459	407	80	16	0	10	36	170	7	1	0	197	273	310	583	113	286	37	8	261	63	—	—	—	—	—	—
2025	17	ROK MLE	DSL Angels	—	169	145	30	5	1	4	17	25	4	3	0	207	307	338	645	131	218	15	10	274	72	—	—	—	—	—	—
2025	17	ROK RAW	DSL Angels	—	169	139	42	7	1	7	23	21	4	3	0	302	416	518	934	216	307	12	14	406	72	—	—	—	—	—	—
2026	18	A MLE	Rancho Cucamonga Quakes	—	459	407	80	16	0	10	36	170	7	1	0	197	273	310	583	113	297	37	8	261	63	—	—	—	—	—	—
2026	18	A RAW	Rancho Cucamonga Quakes	—	459	392	96	21	0	13	51	125	7	1	0	245	342	398	740	153	316	27	11	329	63	—	—	—	—	—	—
2025	17	ROK MLE	DSL Angels	—	169	146	30	5	1	4	17	25	4	3	0	205	307	336	643	130	208	15	10	274	72	—	—	—	—	—	—
2026	18	A MLE	Rancho Cucamonga Quakes	—	459	413	80	16	0	10	36	170	7	1	0	194	273	305	578	111	286	37	8	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Angels	—	169	146	30	5	1	4	17	25	4	3	0	205	307	336	643	130	208	15	10	274	72	—	—	—	—	—	—
2026	18	A MLE	Rancho Cucamonga Quakes	—	459	413	80	16	0	10	36	170	7	1	0	194	273	305	578	111	286	37	8	261	63	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	LAA	0%	569	514	109	21	2	15	43	177	7	6	2	212	281	346	627	134	288	31	8	282	77	-16	+0	-6	+10	+12	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	LAA	34%	416	376	83	16	2	12	32	126	5	5	1	219	291	367	658	148	291	30	8	294	85	-7	+1	-5	+7	+9	0.5
2029	21	MLB MLE	LAA	48%	445	400	90	17	2	14	36	131	6	5	1	225	297	384	682	159	292	29	8	304	92	-4	+1	-5	+8	+10	0.9
2030	22	MLB MLE	LAA	54%	445	400	91	17	2	15	36	128	6	4	1	229	302	396	699	167	293	29	8	310	96	-2	+0	-4	+8	+10	1.2
2031	23	MLB MLE	LAA	57%	445	400	93	17	2	16	36	125	6	4	1	232	306	404	710	172	294	28	8	315	99	-0	+0	-3	+8	+10	1.5
2032	24	MLB MLE	LAA	57%	445	399	93	17	2	16	37	123	6	3	1	235	308	409	717	174	294	28	8	318	101	+1	+0	-2	+8	+10	1.7
2033	25	MLB MLE	LAA	57%	445	399	93	17	2	16	37	123	6	3	1	235	309	411	720	176	295	28	8	319	102	+1	+0	-2	+8	+10	1.7
2034	26	MLB MLE	LAA	56%	445	399	93	17	2	16	37	123	6	3	1	235	309	411	720	176	294	28	8	319	102	+1	+0	-2	+8	+10	1.7
2035	27	MLB MLE	LAA	55%	445	399	93	17	2	16	37	124	6	3	1	234	308	409	716	175	294	28	8	318	101	+1	+0	-2	+8	+10	1.6
2036	28	MLB MLE	LAA	55%	445	400	93	17	2	16	37	125	5	2	1	232	306	404	710	172	292	28	8	315	99	-0	+0	-3	+8	+10	1.5
2037	29	MLB MLE	LAA	53%	445	400	91	17	1	16	37	126	5	1	1	229	303	397	700	168	291	28	8	311	97	-2	-0	-4	+8	+10	1.2
2038	30	MLB MLE	LAA	53%	445	400	90	17	1	15	37	128	5	1	3	226	299	389	689	163	289	29	8	306	94	-3	-1	-4	+8	+10	0.9
2039	31	MLB MLE	LAA	52%	426	383	85	16	1	14	35	124	5	1	4	222	294	379	674	157	285	29	8	300	89	-5	-1	-5	+8	+9	0.5
2040	32	MLB MLE	LAA	52%	407	368	79	14	1	13	32	120	4	2	4	217	288	366	655	150	281	29	8	293	84	-8	-1	-6	+7	+9	0.2
2041	33	MLB MLE	LAA	52%	387	350	74	13	1	12	30	116	4	2	4	210	280	351	631	141	276	30	8	283	78	-10	-1	-6	+7	+8	-0.2
2028	20	MLB CTX	LAA	34%	143	129	28	5	1	4	11	43	2	2	0	218	290	366	656	148	289	30	8	293	85	-3	+0	-2	+3	+3	0.2
2029	21	MLB CTX	LAA	48%	216	194	44	8	1	7	17	63	3	2	1	224	297	384	680	160	290	29	8	303	92	-2	+0	-2	+4	+5	0.4
2030	22	MLB CTX	LAA	54%	241	216	49	9	1	8	20	69	3	2	1	228	301	396	697	168	291	29	8	310	96	-1	+0	-2	+4	+5	0.6
2031	23	MLB CTX	LAA	57%	252	226	52	9	1	9	21	71	3	2	1	231	305	404	708	172	291	28	8	314	99	-0	+0	-2	+4	+5	0.8
2032	24	MLB CTX	LAA	57%	252	226	52	9	1	9	21	70	3	2	1	234	307	409	716	175	292	28	8	317	101	+0	+0	-1	+4	+5	0.9
2033	25	MLB CTX	LAA	57%	251	225	52	9	1	9	21	69	3	2	0	234	308	411	719	177	292	27	8	318	102	+1	+0	-1	+4	+5	1.0
2034	26	MLB CTX	LAA	56%	251	225	52	9	1	9	21	69	3	2	0	234	308	411	719	177	292	27	8	319	102	+1	+0	-1	+4	+5	1.0
2035	27	MLB CTX	LAA	55%	247	221	51	9	1	9	21	69	3	1	0	233	307	408	715	175	291	28	9	317	101	+0	+0	-1	+4	+5	0.9
2036	28	MLB CTX	LAA	55%	244	219	51	9	1	9	20	68	3	1	0	231	305	403	708	172	290	28	8	314	99	-0	+0	-2	+4	+5	0.8
2037	29	MLB CTX	LAA	53%	238	213	50	9	1	9	20	67	3	1	1	229	302	397	699	168	289	28	8	311	97	-1	-0	-2	+4	+5	0.6
2038	30	MLB CTX	LAA	53%	234	210	47	8	1	8	19	67	3	1	1	225	298	389	687	164	286	29	8	306	94	-2	-0	-2	+4	+5	0.5
2039	31	MLB CTX	LAA	52%	222	200	44	8	1	7	18	64	2	1	2	221	294	379	672	158	283	29	8	300	89	-3	-1	-3	+4	+5	0.3
2040	32	MLB CTX	LAA	52%	211	190	42	7	1	7	17	62	2	1	2	216	287	366	653	150	279	29	8	292	84	-4	-1	-3	+4	+5	0.1
2041	33	MLB CTX	LAA	52%	200	180	37	6	0	6	16	60	2	1	2	209	280	351	630	141	273	30	8	283	78	-5	-1	-3	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3202	2874	651	114	13	110	263	911	38	21	12	227	300	390	690	164	290	28	8	308	91	-19	-1	-27	+57	+69	8.1
/ 162G	—	A+C		—	650	583	132	23	3	22	53	185	8	4	2	226	300	389	689	163	290	28	8	308	91	-4	-0	-6	+12	+14	1.7
Career	—	MLE		—	6924	6215	1391	258	25	226	565	2002	88	45	26	224	298	382	680	159	289	29	8	303	91	-45	-2	-55	+112	+136	14.9
/ 162G	—	MLE		—	650	583	130	24	2	21	53	188	8	4	2	223	296	379	675	156	288	29	8	303	91	-5	-0	-6	+12	+14	1.5

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 ARancho Cucamonga Quakes · 459 PAwOBA .326 → .261 (−65)K% 27.2% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.23%	÷1.000	×1.360	—	—	37.04%
BB% (unintentional) /PA	10.89%	÷1.000	×0.690	—	×1.045	7.85%
HBP% /PA	1.53%	—	×0.780	—	×1.045	1.24%
Singles /BIP	23.22%	÷1.000	×0.920	×0.975	×1.045	21.78%
Doubles /BIP	7.87%	÷1.000	×0.830	×0.975	×1.045	6.65%
Triples /BIP	0.00%	÷1.000	×0.910	×0.975	×1.045	0.00%
Home runs /BIP	4.87%	÷1.000	×0.800	—	×1.045	4.07%

Factors used: level-wide A 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 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 ×0.975.

Result: wOBA .326 → .261; ISO .153 → .119; BABIP .316 → .286. 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 Angels · 169 PAwOBA .403 → .274 (−128)K% 12.4% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.43%	÷1.007	×1.220	—	—	15.05%
BB% (unintentional) /PA	13.61%	÷0.973	×0.700	—	×1.008	9.86%
HBP% /PA	2.37%	—	×0.700	—	×1.008	1.67%
Singles /BIP	22.88%	÷0.990	×0.680	×1.027	×1.008	16.26%
Doubles /BIP	5.93%	÷0.920	×0.600	×1.027	×1.008	4.00%
Triples /BIP	0.85%	÷1.110	×0.600	×1.027	×1.008	0.47%
Home runs /BIP	5.93%	÷0.975	×0.470	—	×1.008	2.88%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 84, 3B 122, K 101, BB 95 — 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 ×1.027.

Result: wOBA .403 → .274; ISO .216 → .121; BABIP .307 → .208. 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
#1Charles Johnson'94-'05 * career totals — 11 seasons, 4,385 PA	6.6	4,385	167	6	235*	316*	421*	+78	+0	21.1	19.6
/162	664	25	1	+11.8	+0.0	3.2	pk7: 18
#2Jody Davis'81-'90 * career totals — 9 seasons, 3,984 PA	6.0	3,984	127	7	242*	306*	433*	+70	+0	15.9	16.0
/162	664	21	1	+11.7	+0.0	2.6	pk7: 16
#3John 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
#4Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#5Welington Castillolast yr '19 career totals — 8 seasons, 2,667 PA	4.0	2,667	97	5	254	313	425	+48	-14	13.3	13.2
/162	664	24	1	+11.9	-3.4	3.3	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.1	3,413	116	22	228	297	392	+61	-31	12.9	10.6
/162	664	23	4	+11.9	-6.1	2.5	pk7: 8
#6Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9

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
Gabriel Davalillo (OGILVIE)	19	—	—	—	—	210/279/343	133	288	5	2	31%	8%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
●Luis Campusano 2018 · A	19	43→53	42→50	41→30	44	214/268/309	96	274	10	4	25%	6%	63	-1.3	253/306/367	114	303	12	2	20%	6%	91	+0.6	260/336/420	160	301	19	1	20%	10%	113	+1.4
●Mark Vientos 2019 · A	19	43→51	46→60	43→30	45	217/278/343	126	276	14	3	26%	8%	75	-0.5	213/259/354	141	292	17	2	32%	5%	71	-0.8	247/307/448	201	309	26	1	28%	7%	110	+1.8
●Nolan Gorman 2019 · A	19	44→46	54→60	38→45	41	223/287/401	178	325	23	4	37%	8%	93	+0.8	210/264/355	145	313	16	4	36%	6%	73	-0.6	216/289/434	218	282	33	7	35%	9%	102	+1.2
✕Carter Kieboom 2018 · A	20	46→55	48→50	43→45	42	231/293/376	145	306	15	5	29%	7%	88	+0.5	241/311/374	133	318	15	6	27%	8%	95	+0.9	239/318/366	128	315	14	5	27%	9%	93	+0.6
✕Travis Denker 2007 · A	21	45→51	49→50	37→45	54	228/313/371	143	268	17	3	22%	10%	95	+1.0	231/301/358	127	283	12	5	21%	9%	87	+0.4	228/292/363	135	273	14	6	21%	7%	83	+0.1
●Ryan McMahon 2014 · A	19	47→57	48→55	42→45	40	228/285/378	150	326	15	6	34%	7%	86	+0.3	222/280/369	147	333	14	6	35%	7%	82	-0.0	232/313/397	165	299	19	6	28%	10%	103	+1.6
✕Brendan Rodgers 2017 · A	20	43→53	45→50	44→45	39	219/266/338	120	288	13	6	29%	5%	70	-0.9	243/287/379	136	307	15	6	25%	4%	87	+0.4	260/314/400	140	308	15	0	20%	6%	102	+1.0
★Xander Bogaerts 2012 · A	19	42→52	48→65	41→55	43	216/273/357	141	273	16	4	27%	6%	76	-0.4	251/306/403	152	321	16	5	26%	7%	99	+1.3	277/349/473	196	312	21	8	18%	9%	132	+3.9
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Max Stassi 2011 · A	20	40→45	45→55	43→40	36	193/254/312	119	316	13	4	41%	7%	59	-1.6	217/275/356	139	298	16	4	31%	6%	78	-0.3	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Óscar Hernández 2012 · A	19	43	48→50	40	48	221/297/359	138	251	17	4	20%	7%	87	+0.4	209/276/332	123	257	13	4	23%	6%	72	-0.7	189/243/310	121	235	13	3	25%	5%	53	-1.0
✕Deivy Grullón 2017 · A	21	44→45	42→55	38→30	37	215/257/318	103	300	10	2	31%	5%	61	-1.5	233/271/374	141	313	17	2	30%	5%	80	-0.2	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕Wilin Rosario 2009 · A	20	42→52	44→60	44→45	38	212/256/323	111	292	12	5	31%	5%	62	-1.4	232/268/378	146	305	17	4	29%	4%	79	-0.2	260/293/445	185	295	25	4	21%	4%	106	+1.3
✕Brad Harman 2006 · A	20	52→54	43→45	37→40	43	249/304/361	112	323	11	5	26%	6%	88	+0.5	218/274/319	101	306	9	4	30%	7%	68	-1.0	202/258/304	102	285	10	3	31%	7%	56	-1.5
✕James Triantos 2022 · A	19	46→56	49→45	45→60	40	234/276/382	148	291	17	8	26%	5%	83	+0.1	247/296/347	100	300	8	18	19%	6%	82	-0.0	270/312/373	104	312	8	35	15%	5%	91	+0.6
✕Jake Smolinski 2010 · A	21	49→50	44→55	39→45	48	237/299/358	121	287	10	5	21%	7%	86	+0.3	233/295/344	111	279	8	7	18%	8%	82	-0.0	238/300/392	154	271	17	6	18%	7%	94	+0.6
✕Paul Kelly 2006 · A	19	45→52	40	40	40	216/274/305	90	305	8	6	30%	6%	65	-1.2	232/286/316	84	295	4	5	22%	5%	72	-0.7	244/298/328	84	302	3	3	19%	5%	76	-0.3
✕Welington Castillo 2008 · A	21	46→56	45→55	42→30	38	227/275/342	115	307	13	4	30%	5%	74	-0.6	232/272/355	123	304	13	3	27%	4%	76	-0.4	251/305/431	180	305	25	1	26%	6%	107	+1.2
✕Eric Wood 2013 · A	20	44→50	43→55	42→45	43	217/276/330	113	284	10	6	27%	6%	72	-0.7	217/266/304	87	308	5	4	29%	6%	61	-1.5	212/274/375	163	269	18	7	28%	7%	79	-0.1

Gabriel Davalillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps