Gavin Conticello

Gavin ConticelloRF Amarillo Sod Poodles

Age 23 L/R 6'3" / 195 lbs AA HR -11% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION475 act + 9 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP299

ISO118

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$5M ctrl surplus

Tools · ContractCON 35 / POW 50

Toolsscout grade

CONTACT35

scouting grade only

POWER50

scouting grade only

EYE40

scouting grade only

SPEED55

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	—	—	—
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Arb-1	$0.8M	—	—	—
2031	Arb-2	$1M	—	—	—
2032	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-1M	+$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.

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	18	ROK	ACL D-backs	—	51	45	13	3	0	0	2	11	4	2	1	289	373	356	728	67	382	22	4	338	115	+1	+0	—	—	+1	0.2
2022	19	A	Visalia Rawhide	—	125	105	22	3	2	1	14	38	5	1	1	210	331	305	635	95	313	30	11	297	87	-2	-0	—	—	+3	0.1
2022	19	ROK	ACL D-backs Red	—	146	126	31	7	2	2	15	47	2	3	1	246	336	381	717	135	362	32	10	318	101	+0	+0	—	—	+3	0.4
2023	20	A+	Hillsboro Hops	—	39	38	10	3	0	2	1	11	0	0	0	263	282	500	782	237	320	28	3	339	116	+1	+0	—	—	+1	0.2
2023	20	A	Visalia Rawhide	—	427	370	80	20	3	15	45	95	9	12	5	216	316	408	724	192	247	22	11	323	104	+2	+0	—	—	+9	1.2
2024	21	AA	Amarillo Sod Poodles	—	24	22	5	0	1	1	2	7	0	0	0	227	292	455	746	227	286	29	8	325	106	+0	+0	—	—	+1	0.1
2024	21	A+	Hillsboro Hops	—	542	489	138	31	7	9	46	115	3	20	4	282	347	429	776	147	351	21	8	344	119	+12	+2	—	—	+12	2.7
2025	22	AA	Amarillo Sod Poodles	—	517	444	122	27	4	12	59	110	10	4	5	275	372	435	807	160	337	21	11	360	130	+18	-1	—	—	+11	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	ACL D-backs	—	51	46	9	2	0	0	1	16	4	2	1	196	275	239	514	43	306	31	2	235	45	-3	+0	—	—	+1	-0.2
2022	19	A MLE	Visalia Rawhide	—	125	109	18	2	1	1	10	51	5	1	1	165	266	229	495	64	290	41	8	230	42	-9	-0	—	—	+3	-0.6
2022	19	ROK MLE	ACL D-backs Red	—	146	131	20	4	1	1	10	68	2	3	1	153	224	221	445	69	291	47	7	211	29	-12	+0	—	—	+3	-0.9
2023	20	A+ MLE	Hillsboro Hops	—	39	38	7	2	0	1	1	16	0	0	0	184	205	316	521	132	271	41	3	235	45	-3	+0	—	—	+1	-0.2
2023	20	A MLE	Visalia Rawhide	—	427	383	63	15	2	13	32	125	9	12	5	164	245	316	561	151	199	29	7	248	54	-23	+0	—	—	+9	-1.4
2024	21	AA MLE	Amarillo Sod Poodles	—	24	23	5	0	1	1	1	8	0	0	0	217	250	435	685	217	266	33	4	248	54	-1	+0	—	—	+1	-0.1
2024	21	A+ MLE	Hillsboro Hops	—	542	510	104	21	5	8	26	167	3	20	4	204	247	312	559	108	280	31	5	242	50	-32	+2	—	—	+12	-1.9
2025	22	AA MLE	Amarillo Sod Poodles	—	517	463	103	21	4	7	40	138	10	4	5	222	298	330	629	108	294	27	8	279	75	-15	-1	—	—	+11	-0.6
2021	18	ROK MLE	ACL D-backs	—	51	46	9	2	0	0	1	16	4	2	1	196	275	239	514	43	300	31	2	235	45	—	—	—	—	—	—
2021	18	ROK RAW	ACL D-backs	—	51	45	13	3	0	0	2	11	4	2	1	289	373	356	728	67	382	22	4	338	45	—	—	—	—	—	—
2022	19	ROK MLE	2 teams	—	271	241	40	7	3	2	19	119	7	4	2	166	247	245	492	79	306	44	7	220	35	—	—	—	—	—	—
2022	19	ROK RAW	2 teams	—	271	231	53	10	4	3	29	85	7	4	2	229	333	346	680	117	340	31	11	308	35	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	466	421	71	17	2	15	33	140	9	12	5	169	244	325	569	157	208	30	7	247	53	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	466	408	90	23	3	17	46	106	9	12	5	221	313	417	730	196	253	23	10	324	53	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	566	533	108	21	6	8	27	175	3	20	4	203	245	310	555	107	283	31	5	242	50	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	566	511	143	31	8	10	48	122	3	20	4	280	345	431	775	151	348	22	8	343	50	—	—	—	—	—	—
2025	22	AA MLE	Amarillo Sod Poodles	—	517	463	103	21	4	7	40	138	10	4	5	222	298	330	629	108	298	27	8	279	75	—	—	—	—	—	—
2025	22	AA RAW	Amarillo Sod Poodles	—	517	444	122	27	4	12	59	110	10	4	5	275	372	435	807	160	337	21	11	360	75	—	—	—	—	—	—
2021	18	ROK MLE	ACL D-backs	—	51	46	9	2	0	0	1	16	4	2	1	196	275	239	514	43	306	31	2	235	45	—	—	—	—	—	—
2022	19	ROK MLE	2 teams	—	271	243	40	7	3	2	19	119	7	4	2	165	247	243	490	78	291	44	7	220	35	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	466	421	71	17	2	15	33	140	9	12	5	169	244	325	569	157	205	30	7	247	53	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	566	531	108	21	6	8	27	175	3	20	4	203	245	311	556	107	279	31	5	242	50	—	—	—	—	—	—
2025	22	AA MLE	Amarillo Sod Poodles	—	517	462	103	21	4	7	40	138	10	4	5	223	298	331	629	108	294	27	8	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	466	421	71	17	2	15	33	140	9	12	5	169	244	325	569	157	205	30	7	247	53	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	566	531	108	21	6	8	27	175	3	20	4	203	245	311	556	107	279	31	5	242	50	—	—	—	—	—	—
2025	22	AA MLE	Amarillo Sod Poodles	—	517	462	103	21	4	7	40	138	10	4	5	223	298	331	629	108	294	27	8	279	75	—	—	—	—	—	—
YTD	23	AA MLE	ARI	—	475	440	104	18	5	14	28	131	5	4	2	236	290	395	685	159	304	28	6	294	85	-8	+0	+0	-5	+10	-0.3
▸ 2026 season
YTD	23	AA RAW	ARI	—	311	274	74	14	4	11	34	67	3	3	2	270	357	471	828	201	321	22	11	366	85	—	—	—	—	—	—
YTD	23	AAA RAW	ARI	—	164	151	42	7	1	7	9	38	2	1	0	278	327	477	804	199	327	23	5	350	85	—	—	—	—	—	—
ROS	23	AA MLE	ARI	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		292	22	11	288	81	-0	+0	-0	-0	+0	-0.0
TOT	23	AA MLE	ARI	—	484	448	105	18	5	14	29	133	5	4	2	234	288	391	679	156	301	27	6	294	85	-8	+0	-0	-5	+10	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ARI	23%	562	515	119	22	5	14	36	150	6	6	3	231	289	375	664	144	292	27	6	292	84	-11	+0	-0	-6	+12	-0.5
2028	25	MLB MLE	ARI	35%	594	543	126	23	5	16	40	156	6	7	3	232	292	381	673	149	293	26	7	299	88	-8	+0	-0	-6	+13	-0.2
2029	26	MLB MLE	ARI	42%	616	563	131	24	5	17	42	160	6	7	3	233	293	384	677	151	293	26	7	302	90	-7	+0	-0	-7	+13	-0.0
2030	27	MLB MLE	ARI	45%	618	563	131	24	5	17	44	161	6	7	3	233	295	384	679	151	292	26	7	302	91	-7	+0	-0	-7	+13	0.0
2031	28	MLB MLE	ARI	47%	617	562	131	24	5	17	44	161	6	7	3	233	296	384	680	151	292	26	7	301	90	-7	+0	-1	-7	+13	-0.1
2032	29	MLB MLE	ARI	46%	610	555	127	23	4	17	44	161	6	7	3	229	293	377	669	148	291	26	7	299	89	-8	+0	-2	-7	+13	-0.3
2033	30	MLB MLE	ARI	46%	602	548	125	23	4	16	43	160	6	7	3	228	291	372	664	144	289	27	7	296	87	-10	+0	-2	-6	+13	-0.5
2034	31	MLB MLE	ARI	46%	589	536	120	22	4	15	42	158	6	7	3	224	288	364	651	140	287	27	7	292	84	-11	+0	-3	-6	+13	-0.8
2035	32	MLB MLE	ARI	50%	571	519	114	20	4	14	41	156	6	6	3	220	284	355	639	135	283	27	7	286	80	-14	+0	-4	-6	+12	-1.1
2027	24	MLB CTX	ARI	23%	129	119	27	5	1	3	8	35	1	1	1	227	281	361	643	134	299	27	6	288	84	-2	-0	-0	-1	+3	-0.1
2028	25	MLB CTX	ARI	35%	208	190	45	9	2	5	14	55	2	2	1	237	296	384	680	147	299	26	7	294	88	-3	+0	-0	-2	+5	-0.1
2029	26	MLB CTX	ARI	42%	259	236	56	11	2	7	18	67	3	3	1	237	300	390	689	153	299	26	7	297	90	-3	+0	-0	-3	+6	0.0
2030	27	MLB CTX	ARI	45%	277	252	59	12	2	7	20	72	3	3	2	234	298	381	679	147	299	26	7	297	91	-3	-0	-0	-3	+6	-0.0
2031	28	MLB CTX	ARI	47%	287	262	62	12	2	8	20	75	3	3	2	237	298	389	688	153	298	26	7	296	90	-3	-0	-0	-3	+6	-0.1
2032	29	MLB CTX	ARI	46%	283	258	60	12	2	7	20	75	3	3	2	233	295	376	671	143	297	27	7	294	89	-4	-0	-1	-3	+6	-0.2
2033	30	MLB CTX	ARI	46%	279	254	58	11	2	7	20	74	3	3	1	228	292	370	662	142	296	27	7	292	87	-4	+0	-1	-3	+6	-0.2
2034	31	MLB CTX	ARI	46%	273	248	57	11	2	7	20	73	3	3	1	230	295	375	670	145	293	27	7	287	84	-5	+0	-1	-3	+6	-0.3
2035	32	MLB CTX	ARI	50%	288	262	59	11	2	7	21	79	3	3	1	225	290	363	653	137	289	27	7	282	80	-7	+0	-2	-3	+6	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2283	2081	483	94	17	58	161	605	24	24	12	232	295	377	672	145	298	27	7	292	79	-35	+0	-5	-24	+49	-1.6
/ 162G	—	A+C		—	650	592	138	27	5	17	46	172	7	7	3	233	296	382	678	149	298	26	7	292	79	-10	+0	-2	-7	+14	-0.5
Career	—	MLE		—	7259	6616	1456	273	56	175	497	2013	87	103	44	220	283	358	641	138	287	28	7	285	79	-83	+1	-11	-58	+117	-3.5
/ 162G	—	MLE		—	650	592	130	24	5	16	45	180	8	9	4	220	284	358	642	139	285	28	7	285	79	-10	+0	-1	-7	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#3Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#4Gordon 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
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.4	2,290	61	27	230	289	377	+8	+0	3.4	3.3
/162	664	18	8	+2.3	+0.0	1.0	pk7: 3
#6Jose Castillolast yr '08 career totals — 5 seasons, 2,059 PA	3.1	2,059	39	13	254	296	379	+7	-14	1.9	1.9
/162	664	13	4	+2.4	-4.5	0.6	pk7: 2

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
Gavin Conticello (OGILVIE)	23	30→35	50	55	40	224/281/362	137	292	8	3	27%	6%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2023 · AA	23	40→47	48→55	52→55	43	209/268/351	142	267	16	12	28%	7%	74	-0.6	223/290/379	156	286	16	20	27%	8%	88	+0.4	222/295/383	161	284	16	22	27%	9%	88	+0.4
✕Matthew Sweeney 2011 · AA	23	42→40	44→50	48→45	41	205/265/320	115	290	11	4	32%	7%	65	-1.2	186/248/292	106	267	9	4	32%	7%	53	-2.1	153/220/256	104	215	9	1	32%	7%	31	-1.3
✕Isan Díaz 2019 · AAA	23	40→41	46→55	50→45	43	199/269/329	130	288	13	10	34%	8%	70	-0.9	212/283/357	145	286	16	6	30%	8%	81	-0.1	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Adrian Del Castillo 2023 · A	23	35→45	43→55	52→40	41	182/244/292	111	252	10	7	31%	7%	51	-2.2	214/284/360	146	291	16	3	30%	8%	82	-0.0	228/294/410	182	286	22	1	28%	8%	95	+0.6
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Brian O'Grady 2015 · A	23	39→38	43→55	54→50	47	196/261/312	115	255	9	8	26%	8%	61	-1.5	190/272/302	112	268	10	14	30%	10%	64	-1.3	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Drew Robinson 2015 · AAA	23	38→42	43→55	49→50	42	187/259/305	117	285	10	9	36%	8%	60	-1.6	199/274/355	156	282	17	12	33%	9%	77	-0.3	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	201/259/308	107	270	11	10	29%	6%	60	-1.6	217/276/340	123	279	13	9	26%	6%	74	-0.5	208/269/326	118	262	13	7	25%	5%	65	-0.7
●Ryan Schimpf 2011 · A	23	38→41	43→60	52→45	38	188/252/310	122	285	9	10	36%	6%	58	-1.7	196/271/353	157	270	17	6	32%	8%	76	-0.4	202/284/418	216	238	27	2	28%	9%	93	+0.7
✕Juan Carlos Gamboa 2014 · AAA	23	46	42→45	49→50	42	223/276/330	107	302	10	9	28%	6%	71	-0.8	245/297/348	103	306	8	8	21%	6%	83	+0.1	258/316/353	95	331	10	5	24%	7%	91	+0.3
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Chris Meyers 2022 · A	23	40→45	41→50	51→40	45	197/267/298	101	259	8	11	26%	7%	61	-1.5	220/278/357	137	292	15	6	29%	6%	79	-0.2	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Randy Florentino 2023 · A	23	37	40→50	47→45	41	185/249/273	88	279	9	6	35%	8%	49	-2.4	200/248/288	88	265	8	6	26%	6%	51	-2.3	188/228/265	77	236	7	4	24%	5%	36	-1.0
✕Missael Rivera 2019 · AAA	23	46	43→50	50→45	43	225/272/336	111	280	10	12	24%	6%	71	-0.8	240/302/390	150	309	16	9	26%	7%	95	+1.0	240/303/395	155	305	16	5	26%	7%	97	+0.6
✕Kody Clemens 2019 · A	23	46→44	44→60	50→45	45	227/284/346	119	293	11	8	26%	7%	78	-0.3	201/260/331	130	273	12	8	30%	7%	65	-1.2	227/284/435	209	256	27	8	24%	6%	97	+0.8
✕Bo Naylor 2022 · AA	22	33→43	45→55	54→50	39	176/236/295	119	259	13	11	36%	7%	49	-2.4	212/299/376	164	277	19	13	29%	10%	91	+0.7	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Trey Hair 2018 · A	23	44	48→55	51→45	44	220/290/372	152	284	15	6	27%	7%	87	+0.4	226/287/341	115	299	8	7	26%	6%	78	-0.3	221/280/392	172	282	21	5	29%	5%	85	+0.1
✕Miguel Amaya 2022 · AA	23	43→41	43→50	50→40	50	212/304/325	114	273	10	7	25%	9%	82	-0.0	224/309/361	137	297	15	5	28%	8%	92	+0.7	229/300/373	144	272	16	1	22%	7%	90	+0.2
✕Tommy Giles 2007 · A	23	42→41	45→55	47→40	37	216/254/339	123	277	13	7	27%	4%	65	-1.2	220/272/377	157	291	18	6	30%	6%	81	-0.1	218/277/394	176	282	22	4	30%	7%	85	+0.1

Career Stats + Projections

Career Comps

Career Path Comps