Cam Cannarella

OF Jacksonville Jumbo Shrimp

Age 23 L/R 6'0" / 185 lbs AAA HR -10%H -3% Svc 0.0 · Ctrl thru 2034

Overview

AAAPROSPECTMiLBFA 2035

OGV OFP35OGV rank#503ETA2028MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+MIA	95	.284/.337/.375	0	1	64	—	.244/.284/.322
2026	22	AAA/AA/A+MIA	438	.324/.427/.512	15	21	130	—	.297/.377/.449
2027PROJ10% MLB	23	MLBMIA	21	.225/.309/.350	0	1	94	0.0
2028PROJ42% MLB	24	MLBMIA	151	.228/.312/.357	4	4	97	0.3
2029PROJ58% MLB	25	MLBMIA	226	.229/.313/.361	5	6	98	0.4

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$2M2033Arb-2$2M2034Arb-3$2M

Skills · percentileMiLB Statcast 2026 AAA

Chase%84

BB%80

Speed61

K%46

Whiff%43

Z-Con%41

Career WAR0.3 WAR median (P10 -0.2 / P90 15, comp-based) · star 6% · didn't stick 59%

CompsCanaan Smith-Njigba (age 23) · Akil Baddoo (age 23) · Ryan Kalish (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†94

AVG/OBP/SLG.225 / .309 / .350

PA21

HR0

K%29

BB%10

BABIP296

ISO53

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Arb-1	$2M	+0.4	$1M	+$0.0M
2033	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$4M		$6M	+$3M

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.

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	64	—	—	—	—	—	—
2026	22	AAA	Jacksonville Jumbo Shrimp	—	206	174	49	15	0	3	29	49	3	11	3	282	393	420	813	138	377	24	14	369	97	—	—	—	—	—	—
2026	22	AA	Pensacola Blue Wahoos	—	150	122	42	5	0	9	23	20	3	8	4	344	459	607	1.066	262	347	13	15	458	163	—	—	—	—	—	—
2026	22	A+	Beloit Sky Carp	—	82	71	28	2	1	3	8	10	0	2	0	394	456	577	1.033	183	410	12	10	438	153	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	22	5	1	0	5	24	0	1	3	244	284	322	606	78	326	25	5	263	64	—	—	—	—	—	—
2026	22	AAA MLE	Jacksonville Jumbo Shrimp	—	206	182	46	13	0	2	21	59	3	11	3	253	340	357	697	104	361	29	10	312	97	—	—	—	—	—	—
2026	22	AA MLE	Pensacola Blue Wahoos	—	150	129	42	5	0	8	16	24	3	8	4	326	412	550	963	225	339	16	11	409	163	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	82	73	26	2	1	2	6	13	0	2	0	356	405	493	898	137	373	16	7	395	153	—	—	—	—	—	—
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	22	5	1	0	5	24	0	1	3	244	284	322	606	78	333	25	5	263	64	—	—	—	—	—	—
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	64	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	438	384	114	20	1	12	43	96	6	21	7	297	376	448	824	151	363	22	10	361	130	—	—	—	—	—	—
2026	22	AAA RAW	3 teams	—	438	367	119	22	1	15	60	79	6	21	7	324	427	512	940	188	374	18	14	412	130	—	—	—	—	—	—
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	22	5	1	0	5	24	0	1	3	244	284	322	606	78	326	25	5	263	64	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	438	386	114	20	1	12	43	96	6	21	7	295	376	446	822	150	356	22	10	361	130	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A+ MLE	Beloit Sky Carp	—	95	90	22	5	1	0	5	24	0	1	3	244	284	322	606	78	326	25	5	263	64	—	—	—	—	—	—
2026	22	AAA MLE	3 teams	—	438	386	114	20	1	12	43	96	6	21	7	295	376	446	822	150	356	22	10	361	130	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIA	10%	482	427	100	20	2	11	46	131	6	13	4	233	316	366	682	133	306	27	10	307	94	-3	+1	+1	-3	+10	0.4
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIA	10%	21	19	4	1	0	0	2	6	0	1	0	225	309	350	659	125	296	29	10	298	94	-0	+0	+0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIA	42%	357	316	75	15	1	9	34	96	4	9	3	235	319	373	692	138	306	27	10	311	97	-1	+1	+1	-2	+8	0.6
2029	25	MLB MLE	MIA	58%	392	346	82	16	1	10	38	104	5	10	3	237	320	378	698	141	305	27	10	313	98	-1	+1	+1	-2	+8	0.7
2030	26	MLB MLE	MIA	65%	412	364	86	17	1	11	40	108	5	10	3	237	320	379	699	142	304	26	10	314	98	-1	+1	+1	-2	+9	0.8
2031	27	MLB MLE	MIA	66%	418	370	87	17	1	11	40	110	5	10	3	236	319	378	697	141	303	26	10	313	98	-1	+1	+1	-3	+9	0.8
2032	28	MLB MLE	MIA	67%	416	368	87	17	1	11	40	109	5	9	3	235	317	374	691	140	301	26	10	311	96	-2	+1	+1	-2	+9	0.6
2033	29	MLB MLE	MIA	66%	406	361	83	16	1	10	38	108	4	8	3	232	314	368	682	136	300	27	9	307	94	-3	+0	-0	-2	+9	0.4
2034	30	MLB MLE	MIA	65%	394	350	80	16	1	9	37	106	4	7	3	229	311	360	670	131	298	27	9	302	91	-4	+0	-1	-2	+9	0.1
2028	24	MLB CTX	MIA	42%	151	133	31	6	0	4	15	40	2	4	1	228	312	357	669	129	296	26	10	302	97	-1	+0	+0	-1	+3	0.3
2029	25	MLB CTX	MIA	58%	226	199	45	8	1	5	22	60	3	6	2	229	313	361	674	132	295	27	10	304	98	-0	+0	+1	-1	+5	0.4
2030	26	MLB CTX	MIA	65%	266	235	54	10	1	7	26	70	3	6	2	229	313	362	675	133	294	26	10	304	98	-0	+0	+1	-2	+6	0.5
2031	27	MLB CTX	MIA	66%	277	245	56	10	1	7	27	73	3	6	2	228	312	361	673	133	293	26	10	303	98	-1	+0	+1	-2	+6	0.5
2032	28	MLB CTX	MIA	67%	279	247	56	10	1	7	27	73	3	6	2	227	310	358	668	131	291	26	10	301	96	-1	+0	+0	-2	+6	0.4
2033	29	MLB CTX	MIA	66%	268	238	53	10	1	6	25	71	3	5	2	225	307	352	659	127	290	26	9	298	94	-2	+0	-0	-2	+6	0.2
2034	30	MLB CTX	MIA	65%	257	228	51	9	1	6	24	69	3	5	2	222	304	344	648	122	288	27	9	293	91	-3	+0	-1	-2	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1724	1525	346	63	6	42	166	456	20	38	13	227	311	359	670	132	294	26	10	301	99	-8	+2	+3	-10	+37	2.4
/ 162G	—	A+C		—	650	575	131	24	2	16	63	172	8	14	5	228	313	360	673	132	295	26	10	301	99	-3	+1	+1	-4	+14	0.9
Career	—	MLE		—	3538	3134	760	148	10	88	335	918	41	91	33	243	324	380	704	138	313	26	9	315	99	-15	+5	+5	-18	+65	4.3
/ 162G	—	MLE		—	650	576	139	27	2	16	62	169	8	17	6	241	324	378	703	137	311	26	10	315	99	-3	+1	+1	-4	+14	0.9

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 AAAJacksonville Jumbo Shrimp · 206 PAwOBA .360 → .312 (−48)K% 23.8% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.79%	÷1.000	×1.200	—	—	28.54%
BB% (unintentional) /PA	14.08%	÷1.000	×0.690	—	×1.050	10.20%
HBP% /PA	1.46%	—	×0.940	—	×1.050	1.44%
Singles /BIP	24.80%	÷1.000	×0.930	×1.022	×1.050	24.76%
Doubles /BIP	12.00%	÷1.000	×0.830	×1.022	×1.050	10.69%
Triples /BIP	0.00%	÷1.000	×0.970	×1.022	×1.050	0.00%
Home runs /BIP	2.40%	÷1.000	×0.700	—	×1.050	1.76%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .360 → .312; ISO .138 → .113; BABIP .377 → .361. 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).

2026 AAPensacola Blue Wahoos · 150 PAwOBA .452 → .409 (−43)K% 13.3% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷1.000	×1.220	—	—	16.27%
BB% (unintentional) /PA	15.33%	÷1.000	×0.680	—	×1.027	10.71%
HBP% /PA	2.00%	—	×0.840	—	×1.027	1.73%
Singles /BIP	27.45%	÷1.000	×0.920	×1.050	×1.027	27.23%
Doubles /BIP	4.90%	÷1.000	×0.910	×1.050	×1.027	4.81%
Triples /BIP	0.00%	÷1.000	×0.880	×1.050	×1.027	0.00%
Home runs /BIP	8.82%	÷1.000	×0.800	—	×1.027	7.25%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .452 → .409; ISO .262 → .233; BABIP .347 → .339. 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).

2026 A+Beloit Sky Carp · 82 PAwOBA .442 → .395 (−48)K% 12.2% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.20%	÷1.000	×1.270	—	—	15.49%
BB% (unintentional) /PA	9.76%	÷1.000	×0.710	—	×0.998	6.91%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	36.07%	÷1.000	×0.920	×1.011	×0.998	33.47%
Doubles /BIP	3.28%	÷1.000	×0.810	×1.011	×0.998	2.68%
Triples /BIP	1.64%	÷1.000	×0.850	×1.011	×0.998	1.41%
Home runs /BIP	4.92%	÷1.000	×0.800	—	×0.998	3.93%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .442 → .395; ISO .183 → .155; BABIP .410 → .373. 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 A+Beloit Sky Carp · 95 PAwOBA .313 → .263 (−50)K% 18.9% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.95%	÷0.972	×1.270	—	—	24.75%
BB% (unintentional) /PA	7.37%	÷0.978	×0.710	—	×1.012	5.42%
HBP% /PA	0.00%	—	×0.790	—	×1.012	0.00%
Singles /BIP	25.71%	÷1.028	×0.920	×1.023	×1.012	23.83%
Doubles /BIP	8.57%	÷0.961	×0.810	×1.023	×1.012	7.48%
Triples /BIP	1.43%	÷1.000	×0.850	×1.023	×1.012	1.26%
Home runs /BIP	0.00%	÷1.006	×0.800	—	×1.012	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 101, 1B 106, 2B 92, 3B 100, K 94, BB 96 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .313 → .263; ISO .091 → .075; BABIP .357 → .326. 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
#1Mark Whiten'90-'00 * career totals — 9 seasons, 3,521 PA	5.3	3,521	105	78	251*	332*	421*	-35	+22	11.8	11.5
/162	664	20	15	-6.6	+4.2	2.2	pk7: 11
#2Chas McCormicklast yr '25 career totals — 5 seasons, 1,567 PA	2.4	1,567	56	37	247	321	413	+2	+14	7.3	7.3
/162	664	24	16	+0.8	+6.0	3.1	pk7: 7
#3Glenn Braggs'86-'92 * career totals — 7 seasons, 2,609 PA	3.9	2,609	70	58	255*	322*	427*	-30	+19	6.8	6.8
/162	664	18	15	-7.7	+4.8	1.7	pk7: 7
#4Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#5Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#6Dustan Mohr'01-'07 * career totals — 5 seasons, 1,537 PA	2.3	1,537	49	13	241*	315*	412*	-15	+20	3.8	3.8
/162	664	21	6	-6.6	+8.6	1.6	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.6	1,744	44	39	235	314	374	-10	+17	3.2	3.1
/162	664	17	15	-4.0	+6.5	1.2	pk7: 3

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)	23	—	—	—	—	231/314/363	132	306	5	6	27%	10%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Canaan Smith-Njigba 2022 · AAA	23	51	44→45	53→55	48	238/314/354	116	337	11	15	30%	10%	91	+0.7	231/303/347	116	343	8	18	32%	9%	85	+0.2	221/294/336	115	330	8	20	32%	9%	76	-0.2
✕Akil Baddoo 2022 · MLB	23	50→53	50	58→55	49	248/318/415	167	325	17	20	28%	9%	106	+1.8	229/307/372	143	303	14	23	27%	10%	93	+0.8	213/293/369	156	278	16	28	28%	10%	85	+0.2
✕Ryan Kalish 2011 · MLB	23	51→53	48→50	57→55	49	254/316/397	143	308	15	23	22%	8%	101	+1.4	234/291/348	114	301	11	21	25%	7%	81	-0.1	217/264/312	94	293	8	20	27%	6%	59	-0.9
●Derek Fisher 2017 · AAA	23	46→52	49→55	55	46	225/299/371	146	316	17	20	32%	9%	90	+0.6	234/306/405	171	327	21	18	33%	9%	100	+1.3	231/307/412	181	317	23	18	33%	9%	100	+1.0
●Sterlin Thompson 2024 · AA	23	48→58	47→50	52→50	43	238/297/373	135	302	14	14	26%	6%	90	+0.6	241/312/380	139	313	14	13	26%	7%	97	+1.1	249/331/393	144	321	14	15	25%	8%	103	+1.3
✕Bo Naylor 2023 · AAA	23	42→46	50→55	54→50	49	211/301/366	155	290	17	16	32%	10%	90	+0.6	217/302/391	174	272	21	10	27%	10%	96	+1.0	206/293/384	178	246	22	6	26%	10%	92	+0.5
●Garrett Mitchell 2022 · AA	23	47→57	45→50	56→60	49	224/308/340	116	331	13	20	34%	11%	86	+0.3	245/316/382	137	359	13	26	33%	9%	99	+1.2	257/341/429	172	366	16	21	31%	10%	119	+1.4
✕Nate Tenbrink 2011 · AA	24	50→53	46→50	57→50	46	244/306/379	135	310	12	16	25%	7%	93	+0.8	225/296/369	144	309	14	15	30%	8%	88	+0.4	218/292/364	145	330	15	11	36%	8%	83	+0.0
✕Parker Meadows 2024 · MLB	24	43→48	49→55	57→55	46	219/284/373	154	279	17	17	28%	8%	84	+0.2	234/303/394	160	302	16	20	26%	9%	96	+1.0	236/310/408	171	300	16	22	26%	9%	101	+0.9
✕Brett Jackson 2012 · AAA	23	48→53	49→55	55	45	234/306/391	157	333	16	19	33%	9%	97	+1.1	195/269/331	136	331	13	17	41%	8%	70	-0.9	170/248/295	125	306	12	17	45%	8%	52	-1.5
✕Tsung-Che Cheng 2024 · AA	23	47→48	44→45	57→55	46	230/292/354	124	295	9	20	25%	8%	82	+0.0	211/279/311	100	292	9	17	29%	8%	68	-1.0	200/274/289	89	282	8	17	30%	9%	59	-1.2
●Dylan Beavers 2024 · AA	22	50→52	45→50	53→55	47	237/304/372	135	322	10	19	28%	8%	91	+0.7	228/307/363	135	303	14	20	27%	10%	91	+0.7	225/312/362	137	293	15	21	27%	11%	91	+0.6
✕Shed Long Jr. 2019 · AA	23	49→50	47→50	51→50	44	238/300/376	138	319	14	13	29%	7%	91	+0.7	230/290/373	143	310	15	10	29%	8%	86	+0.3	222/283/373	151	295	17	8	29%	8%	83	+0.0
✕Eric Patterson 2006 · AA	23	53→55	46→50	58→60	45	255/311/395	140	331	11	23	26%	7%	99	+1.2	250/300/377	127	312	11	27	22%	7%	91	+0.6	252/307/381	130	310	11	31	22%	7%	92	+0.7
●Jakob Marsee 2024 · AA	23	47→49	47→45	58→60	58	234/337/363	130	285	15	28	22%	12%	103	+1.5	219/318/347	128	277	12	34	24%	11%	92	+0.7	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Ji Hwan Bae 2022 · AA	23	51→55	42→45	54→60	44	241/303/349	108	331	8	22	28%	7%	85	+0.2	248/308/354	106	326	7	29	24%	8%	88	+0.5	253/316/355	102	332	7	33	24%	8%	90	+0.4
✕Jesse Castillo 2006 · AAA	23	47→57	46→45	51→50	45	235/294/367	133	291	13	10	24%	6%	86	+0.3	268/335/357	89	331	5	6	19%	8%	99	+1.2	268/327/383	116	312	12	13	17%	8%	102	+1.2
●Tristan Peters 2023 · AA	23	48→53	43→50	53→50	49	229/296/351	122	291	8	14	23%	8%	83	+0.1	231/299/350	119	288	9	12	22%	8%	84	+0.2	233/307/367	134	284	11	9	21%	8%	90	+0.5
✕Brett Wisely 2023 · AAA	24	47→51	49→50	54→55	46	237/301/384	147	305	16	24	27%	8%	93	+0.8	233/299/358	125	300	12	15	25%	8%	86	+0.3	230/298/342	112	290	10	18	23%	8%	81	-0.0
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1

Cam Cannarella

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps