Mario Camilletti

Mario Camilletti2B Charlotte Knights

Age 27 L/R 5'7" / 195 lbs AAA HR +4% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION437 act + 10 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG—

PA1

HR0

K%30

BB%10

BABIP292

ISO73

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1.0M	+$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)
2023	24	A+	Winston-Salem Dash	—	62	45	9	0	0	1	14	9	2	1	2	200	410	267	677	67	229	15	23	332	111	+1	-1	—	—	+1	0.2
2023	24	A	Kannapolis Cannon Ballers	—	434	339	98	23	0	2	84	70	4	0	1	289	433	375	807	86	354	16	19	372	138	+19	-0	—	—	+9	2.9
2024	25	AA	Birmingham Barons	—	204	155	37	7	0	2	45	38	2	3	2	239	416	323	738	84	299	19	22	350	123	+6	-0	—	—	+4	1.0
2024	25	A+	Winston-Salem Dash	—	175	146	38	8	1	3	24	37	1	2	1	260	368	390	759	130	321	21	14	338	115	+3	+0	—	—	+4	0.7
2025	26	AAA	Charlotte Knights	—	41	33	9	0	0	0	8	6	0	1	0	273	415	273	687		333	15	20	335	113	+1	+0	—	—	+1	0.2
2025	26	AA	Birmingham Barons	—	326	278	64	6	3	2	43	77	2	6	0	230	337	295	632	65	310	24	13	295	86	-6	+1	—	—	+7	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	24	A+ MLE	Winston-Salem Dash	—	62	49	9	0	0	1	10	13	2	1	2	184	344	245	589	61	207	21	16	263	64	-3	-1	—	—	+1	-0.2
2023	24	A MLE	Kannapolis Cannon Ballers	—	434	371	93	19	0	2	55	99	4	0	1	251	353	318	672	67	326	23	13	307	94	-3	-0	—	—	+9	0.6
2024	25	AA MLE	Birmingham Barons	—	204	171	36	6	0	2	29	47	2	3	2	211	332	281	612	70	268	23	14	281	76	-6	-0	—	—	+4	-0.2
2024	25	A+ MLE	Winston-Salem Dash	—	175	154	34	6	1	3	16	52	1	2	1	221	298	331	629	110	286	30	9	273	71	-6	+0	—	—	+4	-0.2
2025	26	AAA MLE	Charlotte Knights	—	41	35	9	0	0	0	6	7	0	1	0	257	366	257	623		309	17	15	281	76	-1	+0	—	—	+1	-0.0
2025	26	AA MLE	Birmingham Barons	—	326	292	62	5	2	2	29	92	2	6	0	212	288	264	552	51	302	28	9	254	58	-16	+1	—	—	+7	-0.8
2023	24	A MLE	2 teams	—	496	420	101	19	0	3	65	112	6	1	3	240	350	307	657	67	317	23	13	302	90	—	—	—	—	—	—
2023	24	A RAW	2 teams	—	496	384	107	23	0	3	98	79	6	1	3	279	430	362	792	83	340	16	20	367	90	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	379	325	69	12	1	5	45	99	3	5	3	212	314	302	615	89	283	26	12	277	74	—	—	—	—	—	—
2024	25	AA RAW	2 teams	—	379	301	75	15	1	5	69	75	3	5	3	249	394	355	750	106	310	20	18	344	74	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	367	327	71	5	2	2	35	99	2	7	0	217	297	263	560	46	304	27	10	257	60	—	—	—	—	—	—
2025	26	AA RAW	2 teams	—	367	311	73	6	3	2	51	83	2	7	0	235	346	293	639	58	313	23	14	299	60	—	—	—	—	—	—
2023	24	A MLE	2 teams	—	496	422	101	19	0	3	65	112	6	1	3	239	350	306	656	66	311	23	13	302	90	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	379	328	69	12	1	5	45	99	3	5	3	210	314	299	612	88	276	26	12	277	74	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	367	327	71	5	2	2	35	99	2	7	0	217	297	263	560	46	303	27	10	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	A MLE	2 teams	—	496	422	101	19	0	3	65	112	6	1	3	239	350	306	656	66	311	23	13	302	90	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	379	328	69	12	1	5	45	99	3	5	3	210	314	299	612	88	276	26	12	277	74	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	367	327	71	5	2	2	35	99	2	7	0	217	297	263	560	46	303	27	10	257	60	—	—	—	—	—	—
YTD	27	AAA MLE	CWS	—	437	386	84	15	1	6	45	121	4	7	5	218	306	308	614	91	300	28	10	273	71	-15	-1	+0	+2	+9	-0.5
▸ 2026 season
YTD	27	AAA RAW	CWS	—	437	366	95	18	1	8	65	101	4	7	5	260	377	380	757	120	337	23	15	346	71	—	—	—	—	—	—
ROS	27	AAA MLE	CWS	10%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		291	30	10	277	73	-0	+0	+0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	27	MLB CTX	CWS	10%	1	1	0	0	0	0	0	0	0	0	0						292	0	0	272	73	-0	+0	+0	+0	+0	-0.0
FULL	27	MLB A+C	CWS	—	1	1	0	0	0	0	0	0	0	0	0							0	0	272	71	-0	+0	+0	+0	+0	-0.0
TOT	27	AAA MLE	CWS	—	447	395	85	15	1	6	46	124	4	7	5	215	303	304	607	89	297	28	10	273	71	-15	-1	+0	+2	+10	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	CWS	31%	333	293	62	10	1	4	34	89	3	4	2	212	300	294	594	82	289	27	10	279	75	-10	+0	-1	+1	+7	-0.2
2028	29	MLB MLE	CWS	40%	352	310	67	11	1	5	36	93	3	4	2	216	304	306	610	90	289	26	10	280	76	-10	+0	-1	+1	+8	-0.3
2029	30	MLB MLE	CWS	45%	363	320	69	12	1	5	37	96	3	4	2	216	303	306	609	91	288	26	10	280	75	-11	+0	-2	+1	+8	-0.4
2027	28	MLB CTX	CWS	31%	103	90	19	3	0	1	11	27	1	1	1	211	304	278	582	67	290	26	11	274	75	-3	-0	-0	+0	+2	-0.1
2028	29	MLB CTX	CWS	40%	139	123	26	4	0	2	14	37	1	2	1	211	297	293	590	81	290	27	10	275	76	-4	+0	-1	+0	+3	-0.1
2029	30	MLB CTX	CWS	45%	162	144	30	5	0	2	16	43	1	2	1	208	292	285	577	76	288	27	10	274	75	-5	+0	-1	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	405	358	75	12	0	5	41	107	3	5	3	209	296	285	581	75	281	26	10	274	76	-12	-0	-2	+1	+9	-0.4
/ 162G	—	A+C		—	650	575	120	19	0	8	66	172	5	8	5	209	296	283	580	75	280	26	10	274	76	-19	-0	-3	+2	+14	-0.6
Career	—	MLE		—	2300	2004	440	69	6	24	253	591	20	25	12	220	313	296	609	76	296	26	11	280	76	-31	+0	-4	+4	+23	-0.9
/ 162G	—	MLE		—	650	566	125	20	2	7	72	167	6	7	3	221	316	300	616	80	297	26	11	280	76	-19	+0	-3	+2	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dustin 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
#2Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#3Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.6	429	6	5	216	300	305	+2	+1	-0.0	-0.0
/162	664	9	8	+2.4	+1.5	-0.0	pk7: 0
#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
Mario Camilletti (OGILVIE)	27	40	30	45	60	212/301/293	81	291	3	4	27%	10%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Jeroloman 2013 · AAA	28	43→38	37→40	42→40	48	205/287/272	67	288	6	7	29%	9%	63	-1.4	198/269/264	66	271	5	5	27%	8%	54	-2.0	178/260/236	58	234	5	0	24%	10%	43	-0.9
✕Forrestt Allday 2017 · AAA	26	49→48	36→30	43→50	49	229/302/292	63	294	3	11	22%	8%	72	-0.7	235/311/295	60	291	3	12	19%	8%	76	-0.4	236/316/285	50	292	3	12	18%	8%	74	-0.4
✕Mitchell Tolman 2021 · AAA	27	45→47	40→45	47→50	44	212/280/302	90	299	7	10	30%	8%	67	-1.1	225/293/353	128	292	11	8	26%	7%	83	+0.1	222/295/357	134	286	12	7	25%	7%	83	+0.0
✕Nolan Fontana 2018 · MLB	27	40→43	41→40	48→50	49	196/278/297	100	272	8	12	29%	10%	65	-1.2	197/290/317	120	279	11	11	30%	11%	75	-0.5	156/272/270	114	221	9	6	31%	13%	57	-0.5
✕Tony Wolters 2018 · MLB	26	47→54	39→40	44→45	51	223/301/310	87	291	5	5	24%	9%	76	-0.4	220/307/303	83	271	5	4	19%	10%	78	-0.3	226/305/294	68	292	4	1	22%	8%	70	-0.4
✕Bryce Windham 2023 · AA	26	44	40	46→50	54	210/288/299	89	251	7	6	19%	10%	69	-0.9	227/290/315	88	296	5	12	23%	8%	72	-0.7	238/297/322	83	318	3	15	24%	8%	74	-0.2
✕Marcus Lemon 2015 · AAA	27	46→53	39→40	42→45	44	221/269/310	89	279	5	6	22%	6%	63	-1.4	220/267/301	81	290	5	5	24%	5%	61	-1.5	222/269/293	70	296	3	3	24%	5%	57	-0.9
✕Evan Marzilli 2018 · AAA	27	45→47	38→40	50	49	210/289/294	84	292	5	14	28%	9%	68	-1.0	199/277/290	91	310	7	11	35%	9%	63	-1.4	167/246/239	71	268	4	10	36%	9%	36	-1.0
✕Ethan Chapman 2017 · AA	27	45→47	38→30	47→55	44	216/270/291	75	289	6	12	26%	7%	59	-1.6	228/282/318	90	316	9	21	29%	6%	70	-0.8	230/282/297	67	321	7	29	29%	5%	67	-0.6
✕Jonathan Diaz 2012 · AAA	27	48→47	36→30	43→50	51	222/300/289	67	276	3	9	20%	8%	71	-0.8	214/292/276	62	268	3	13	20%	8%	65	-1.2	208/284/263	55	261	2	9	19%	8%	56	-1.2
✕Daniel Nunez 2009 · AAA	27	46→52	39→30	45→50	42	220/285/301	82	303	7	11	28%	7%	68	-1.0	216/278/314	98	301	9	13	29%	6%	68	-1.0	246/325/316	70	314	3	14	21%	7%	85	+0.1
✕Joel Weeks 2012 · AA	27	46	38→45	43→45	45	221/272/300	79	283	6	5	24%	6%	62	-1.4	220/272/303	83	293	7	6	26%	7%	63	-1.4	211/259/265	54	278	6	0	25%	6%	49	-0.7
✕Mitch Canham 2012 · AAA	27	44→50	38→45	45	47	211/269/289	78	258	5	5	20%	7%	59	-1.7	214/275/297	83	274	4	10	22%	7%	63	-1.4	228/290/318	90	288	3	14	20%	8%	71	-0.3
✕Anthony Bemboom 2018 · AAA	28	43	40	46→45	46	210/270/304	93	271	7	7	24%	7%	63	-1.4	202/267/309	107	264	11	4	26%	7%	63	-1.3	201/272/306	105	260	10	2	26%	8%	63	-0.5
✕Beau Taylor 2017 · AA	27	46→50	40→45	43→30	46	220/288/312	93	305	7	3	29%	8%	72	-0.7	224/299/325	101	318	8	3	29%	9%	79	-0.2	214/302/320	106	307	10	1	30%	10%	78	-0.2
✕Beau Amaral 2018 · AAA	27	45→52	38→40	45→55	42	216/267/290	74	280	5	9	24%	6%	58	-1.7	218/267/304	86	282	7	11	24%	5%	61	-1.5	216/262/292	76	277	6	10	23%	5%	55	-0.9
✕Carlos Penuelas 2015 · AAA	27	50	38→30	43→50	46	238/291/320	81	291	6	10	20%	6%	74	-0.5	249/291/312	63	302	4	11	18%	5%	72	-0.7	256/293/298	42	308	2	9	17%	4%	66	-0.5
✕Pete Kozma 2015 · MLB	27	45→47	40	44→50	48	216/274/310	94	257	7	9	19%	7%	66	-1.1	197/255/266	69	248	5	11	22%	6%	49	-2.4	194/243/282	88	241	5	6	21%	5%	46	-1.7
✕Levi Hyams 2016 · AA	26	47	39→40	48→45	46	222/282/316	94	296	5	7	26%	8%	70	-0.9	209/252/295	86	288	7	5	28%	5%	53	-2.1	195/220/286	91	268	8	0	30%	3%	36	-1.4
✕Chase Calabuig 2022 · AA	26	43→53	39→40	44→45	49	206/275/286	79	261	7	6	23%	8%	61	-1.5	254/312/371	117	297	9	5	17%	7%	94	+0.9	285/343/412	127	326	9	3	15%	7%	110	+1.0

Career Stats + Projections

Career Comps

Career Path Comps