Cam Cannarella — OGILVIE

Cam CannarellaOF Jacksonville Jumbo Shrimp

Age 22 L/R 6'0" / 185 lbs AAA HR -10%H -3% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION418 act + 9 ros · stats below = ROS only

showingROS

wRC+†106

AVG/OBP/SLG—

PA1

HR0

K%22

BB%11

BABIP318

ISO112

MLB%14%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$17M ctrl surplus

Tools · ContractCON 53 / POW 34

Toolsscout grade

CONTACT53

scouting grade only

POWER34

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

DEFENSE66

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	+0.5	$2M	+$1M
2028	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Arb-1	$4M	+1.0	$6M	+$3M
2031	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2032	Arb-3	$9M	+0.9	$2M	+$0.0M (cut)
Totals		$6M		$18M	+$8M

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)
2025	21	A+	Beloit Sky Carp	—	95	88	25	6	1	0	7	18	0	1	3	284	337	375	712	91	357	19	7	321	103	+0	-1	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	21	5	1	0	5	25	0	1	3	233	274	311	585	78	321	26	5	254	58	-5	-1	—	—	+2	-0.4
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	21	5	1	0	5	25	0	1	3	233	274	311	585	78	323	26	5	254	58	—	—	—	—	—	—
2025	21	A+ RAW	Beloit Sky Carp	—	95	88	25	6	1	0	7	18	0	1	3	284	337	375	712	91	357	19	7	321	58	—	—	—	—	—	—
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	21	5	1	0	5	25	0	1	3	233	274	311	585	78	321	26	5	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	21	5	1	0	5	25	0	1	3	233	274	311	585	78	321	26	5	254	58	—	—	—	—	—	—
YTD	22	AAA MLE	MIA	—	418	366	107	17	1	12	41	93	6	21	7	292	373	443	816	150	357	22	10	357	128	+14	+1	+0	-3	+9	2.2
▸ 2026 season
YTD	22	A+ RAW	MIA	—	82	71	28	2	1	3	8	10	0	2	0	394	456	577	1.033	183	410	12	10	438	128	—	—	—	—	—	—
YTD	22	AA RAW	MIA	—	150	122	42	5	0	9	23	20	3	8	4	344	459	607	1.066	262	347	13	15	458	128	—	—	—	—	—	—
YTD	22	AAA RAW	MIA	—	186	155	45	13	0	3	28	46	3	11	3	290	409	432	841	142	396	25	15	381	128	—	—	—	—	—	—
ROS	22	AAA MLE	MIA	14%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		327	22	11	325	106	+0	+0	+0	-0	+0	0.0
▸ 2026 season — projected rest
ROS	22	MLB CTX	MIA	14%	1	1	0	0	0	0	0	0	0	0	0						318	0	0	308	106	+0	+0	+0	-0	+0	0.0
FULL	22	MLB A+C	MIA	—	1	1	0	0	0	0	0	0	0	0	0							0	0	308	127	+0	+0	+0	-0	+0	0.0
TOT	22	AAA MLE	MIA	—	427	374	108	17	1	12	42	95	6	21	7	289	370	436	805	147	353	22	10	356	127	+14	+1	+0	-3	+9	2.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIA	40%	340	301	78	14	1	8	32	81	4	10	3	259	338	392	730	133	325	24	9	327	108	+3	+1	+2	-2	+7	1.1
2028	24	MLB MLE	MIA	49%	412	365	95	17	2	10	39	96	5	11	4	260	340	400	740	140	324	23	9	331	110	+5	+1	+2	-2	+9	1.4
2029	25	MLB MLE	MIA	53%	442	392	103	19	2	12	42	102	5	12	4	263	342	413	755	151	322	23	10	333	111	+6	+1	+2	-3	+10	1.6
2030	26	MLB MLE	MIA	55%	459	407	106	19	2	12	44	106	5	12	4	260	340	405	745	145	321	23	10	334	112	+7	+1	+2	-3	+10	1.7
2031	27	MLB MLE	MIA	55%	461	409	106	19	2	12	44	107	5	12	4	259	338	403	742	144	321	23	10	334	112	+7	+1	+2	-3	+10	1.7
2032	28	MLB MLE	MIA	54%	459	407	105	19	2	12	44	107	5	11	4	258	338	403	741	145	321	23	10	333	111	+6	+1	+2	-3	+10	1.6
2033	29	MLB MLE	MIA	53%	449	397	101	18	1	12	44	106	5	11	4	254	336	395	732	141	318	24	10	330	109	+5	+1	+1	-3	+10	1.4
2034	30	MLB MLE	MIA	52%	439	388	98	18	1	11	43	104	5	10	3	253	335	389	724	137	315	24	10	326	107	+3	+1	+0	-3	+10	1.1
2035	31	MLB MLE	MIA	52%	425	376	93	17	1	10	41	102	5	9	3	247	329	378	707	130	313	24	10	322	104	+2	+1	-1	-3	+9	0.9
2036	32	MLB MLE	MIA	52%	407	360	89	16	1	10	40	100	4	8	3	247	329	381	710	133	309	25	10	316	100	-0	+0	-1	-2	+9	0.5
2037	33	MLB MLE	MIA	52%	377	334	80	14	1	8	36	94	4	7	2	240	321	359	680	120	305	25	10	309	95	-2	+1	-2	-2	+8	0.2
2038	34	MLB MLE	MIA	47%	333	295	68	11	1	7	32	85	3	6	2	231	312	346	658	115	299	26	10	300	89	-4	+0	-3	-2	+7	-0.2
2027	23	MLB CTX	MIA	40%	136	120	30	5	0	3	13	32	2	4	1	250	333	367	700	117	316	24	10	310	108	+1	+0	+1	-1	+3	0.5
2028	24	MLB CTX	MIA	49%	201	178	46	8	1	5	19	47	2	6	2	258	337	399	736	140	315	23	9	314	110	+2	+0	+1	-1	+4	0.7
2029	25	MLB CTX	MIA	53%	234	207	53	9	1	6	22	54	3	6	2	256	336	396	732	140	313	23	9	316	111	+3	+0	+1	-1	+5	0.9
2030	26	MLB CTX	MIA	55%	252	223	56	10	1	6	24	58	3	7	2	251	332	386	718	135	312	23	10	316	112	+4	+1	+1	-2	+5	1.0
2031	27	MLB CTX	MIA	55%	251	222	56	10	1	6	24	58	3	6	2	252	333	387	721	135	312	23	10	316	112	+4	+0	+1	-2	+5	0.9
2032	28	MLB CTX	MIA	54%	250	221	56	10	1	6	24	58	3	6	2	253	335	389	724	136	312	23	10	316	111	+3	+0	+1	-2	+5	0.9
2033	29	MLB CTX	MIA	53%	239	211	53	9	1	6	23	56	3	6	2	251	333	389	722	137	309	23	10	313	109	+3	+0	+0	-1	+5	0.7
2034	30	MLB CTX	MIA	52%	230	203	51	9	1	6	22	55	3	5	2	251	333	394	727	143	306	24	10	309	107	+2	+0	+0	-1	+5	0.6
2035	31	MLB CTX	MIA	52%	221	195	47	8	1	5	22	53	2	5	2	241	324	369	693	128	304	24	10	305	104	+1	+0	-0	-1	+5	0.4
2036	32	MLB CTX	MIA	52%	211	186	45	7	1	5	21	52	2	4	1	242	325	371	696	129	301	25	10	300	100	-0	+0	-1	-1	+5	0.3
2037	33	MLB CTX	MIA	52%	195	172	40	7	0	4	19	49	2	4	1	233	316	343	659	110	297	25	10	293	95	-1	+0	-1	-1	+4	0.1
2038	34	MLB CTX	MIA	47%	157	139	31	5	0	3	15	40	2	3	1	223	308	324	631	101	292	25	10	285	89	-2	+0	-2	-1	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2578	2278	564	97	9	61	248	612	30	62	20	248	329	378	708	131	311	24	10	309	105	+20	+4	+3	-15	+56	6.9
/ 162G	—	A+C		—	650	574	141	24	2	15	63	154	8	16	5	246	329	373	702	127	309	24	10	309	105	+5	+1	+1	-4	+14	1.7
Career	—	MLE		—	5107	4529	1144	206	18	124	487	1217	55	120	43	253	332	388	721	136	318	24	10	324	105	+37	+8	+5	-30	+109	13.1
/ 162G	—	MLE		—	650	576	145	26	2	16	62	155	7	15	5	252	332	387	719	135	316	24	10	324	105	+5	+1	+1	-4	+14	1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Franklin Gutierrezlast yr '17 career totals — 11 seasons, 3,333 PA	5.0	3,333	97	78	257	311	408	-10	+73	16.9	16.7
/162	664	19	16	-2.1	+14.5	3.4	pk7: 16
#2Andres Torreslast yr '13 career totals — 7 seasons, 2,136 PA	3.2	2,136	32	75	243	319	383	+0	+45	10.3	10.3
/162	664	10	23	+0.0	+14.0	3.2	pk7: 10
#3Ryan Churchlast yr '10 career totals — 7 seasons, 2,128 PA	3.2	2,128	56	21	264	336	431	-20	+10	9.0	9.0
/162	664	17	7	-6.1	+3.1	2.8	pk7: 9
#4Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#6Ryan Robertslast yr '13 career totals — 5 seasons, 1,639 PA	2.5	1,639	45	35	248	323	395	+5	+20	7.5	7.5
/162	664	18	14	+2.0	+8.0	3.0	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,603	65	62	255	332	393	-16	+41	7.7	6.9
/162	664	17	16	-4.0	+10.3	2.0	pk7: 6

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
Cam Cannarella (OGILVIE)	22	53	34	60	60	256/334/384	128	327	4	7	24%	9%	106	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Sal Frelick 2022 · A	22	52→60	40	56→55	48	248/308/348	100	311	7	17	22%	8%	87	+0.4	262/323/367	105	305	7	19	16%	7%	97	+1.1	262/330/356	94	300	7	20	14%	8%	95	+0.8
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
●Tony Kemp 2014 · A	22	47→57	39→45	49→55	51	224/303/309	85	284	7	11	22%	9%	77	-0.3	267/334/359	92	315	5	23	16%	8%	99	+1.2	274/341/361	87	323	4	25	15%	8%	99	+1.1
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
✕Dwight Smith Jr. 2015 · A	22	50→53	42→45	53→50	49	241/300/351	109	293	8	12	20%	8%	84	+0.2	239/290/342	103	290	8	9	19%	6%	78	-0.3	243/304/370	127	291	12	9	20%	7%	89	+0.4
●Ezequiel Carrera 2009 · A	22	50→60	39→45	57→60	45	235/296/328	93	301	6	20	23%	7%	78	-0.3	261/321/335	74	329	3	25	20%	7%	88	+0.4	256/323/358	102	320	11	15	22%	8%	93	+0.5
✕Mark Zagunis 2015 · A	22	48→53	41→45	55→50	47	227/299/337	110	297	6	15	24%	8%	82	-0.0	238/326/367	129	307	11	9	24%	10%	99	+1.3	235/331/371	136	304	12	8	24%	11%	99	+0.9
✕Chris Pieters 2017 · A	22	48	39→45	54→55	49	226/307/315	88	296	6	17	24%	8%	80	-0.2	207/265/296	89	292	5	12	29%	6%	59	-1.7	197/253/289	92	277	5	13	29%	6%	51	-0.8
✕Alan Roden 2023 · A	23	47→56	41→45	51→50	51	223/310/319	97	268	8	12	19%	9%	82	+0.0	253/329/370	117	296	10	14	17%	8%	101	+1.4	256/333/376	120	298	10	14	17%	8%	100	+1.0
✕Kevin Kramer 2016 · A	22	46→54	40→45	54→50	44	220/276/315	95	281	6	12	24%	6%	68	-1.0	244/300/352	108	310	7	8	22%	6%	85	+0.2	251/305/365	114	325	8	8	24%	6%	88	+0.3
●Gavin Lux 2019 · AA	21	48→58	43→50	50	46	235/291/350	115	299	10	12	24%	7%	81	-0.1	251/311/404	153	316	16	9	25%	8%	101	+1.4	265/334/414	149	332	14	8	23%	9%	109	+1.7
✕Yoel Yanqui 2018 · A	22	52	40	56→50	47	244/307/345	101	326	5	12	25%	8%	86	+0.3	229/282/318	89	316	6	11	27%	7%	70	-0.8	219/276/311	91	303	7	11	28%	7%	65	-0.8
●Brandon Marsh 2021 · AA	23	47→57	41→50	52→50	43	223/282/323	100	322	8	14	32%	8%	72	-0.7	244/308/374	130	363	11	13	33%	8%	93	+0.8	260/342/421	161	363	16	16	30%	11%	114	+1.8
✕Grégor Blanco 2006 · AA	22	49→59	41→45	58→60	48	229/304/338	110	332	7	22	31%	10%	83	+0.1	255/331/329	74	335	3	21	22%	10%	91	+0.7	272/348/379	107	328	6	19	17%	10%	103	+1.1
✕Roger Bernadina 2006 · A	22	40→50	44→45	54→60	50	202/283/312	110	254	12	20	25%	9%	71	-0.8	236/296/330	94	314	8	26	25%	7%	78	-0.3	261/318/385	124	324	11	31	22%	7%	95	+0.9
✕Ben Gamel 2014 · AA	22	52→62	38→50	52→50	44	245/292/338	92	320	4	15	24%	6%	78	-0.3	245/285/341	96	312	5	13	22%	5%	76	-0.4	269/340/395	126	345	9	8	23%	9%	107	+1.4
✕Troy Montgomery 2018 · AA	23	47→55	43→40	52→50	47	228/291/339	111	290	10	13	24%	8%	78	-0.3	228/296/315	87	318	6	12	27%	9%	75	-0.5	247/322/317	70	355	2	15	28%	10%	83	+0.1
✕Dan Robinson 2019 · A	22	52	38→40	51→50	51	243/305/334	91	287	4	10	16%	8%	82	+0.0	213/281/289	76	281	4	7	23%	8%	63	-1.3	193/268/258	64	258	2	5	24%	9%	49	-1.5
✕Daryl Jones 2009 · AA	22	48→55	42→45	52→50	44	231/296/338	107	305	9	16	26%	7%	81	-0.1	230/294/329	99	302	8	12	25%	7%	78	-0.3	222/289/314	92	291	7	10	25%	7%	70	-0.6
●TJ Friedl 2018 · A	22	47→54	41→50	50→55	42	227/287/338	111	296	7	11	25%	6%	77	-0.3	225/299/322	97	292	6	18	23%	8%	78	-0.3	249/340/389	140	279	15	18	16%	10%	106	+1.6

Career Stats + Projections

Career Comps

Career Path Comps