Connor Caskenette

Connor CaskenetteC Pensacola Blue Wahoos

Age 24 R/R 6'0" / 215 lbs AA HR -10%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION337 act + 9 ros · stats below = ROS only

showingROS

wRC+†72

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

PA9

HR0

K%33

BB%11

BABIP274

ISO82

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2029
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	$0.9M	+0.4	$1M	+$0.6M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Arb-1	$1M	+0.3	$0.8M	+$0.0M
2033	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-3	$0.6M	—	—	—
Totals		$4M		$5M	+$2M

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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2024	22	A	Jupiter Hammerheads	—	76	68	14	3	0	0	8	17	0	3	1	206	289	250	539	44	275	22	11	255	59	-4	+0	—	—	+2	-0.2
2025	23	AA	Pensacola Blue Wahoos	—	52	45	11	2	0	0	4	13	2	1	1	244	327	289	616	44	344	25	8	288	81	-1	-0	—	—	+1	-0.0
2025	23	A+	Beloit Sky Carp	—	193	154	37	8	1	0	33	37	3	11	3	240	384	305	689	65	308	19	17	324	105	+1	+1	—	—	+4	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	Jupiter Hammerheads	—	76	70	12	3	0	0	6	23	0	3	1	171	237	214	451	43	253	30	8	204	24	-7	+0	—	—	+2	-0.5
2025	23	AA MLE	Pensacola Blue Wahoos	—	52	47	10	2	0	0	3	16	2	1	1	213	288	255	544	43	317	31	6	241	49	-3	-0	—	—	+1	-0.2
2025	23	A+ MLE	Beloit Sky Carp	—	193	163	32	7	1	0	24	51	3	11	3	196	311	252	562	55	268	26	12	259	61	-9	+1	—	—	+4	-0.4
2024	22	A MLE	Jupiter Hammerheads	—	76	70	12	3	0	0	6	23	0	3	1	171	237	214	451	43	255	30	8	204	24	—	—	—	—	—	—
2024	22	A RAW	Jupiter Hammerheads	—	76	68	14	3	0	0	8	17	0	3	1	206	289	250	539	44	275	22	11	255	24	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	245	210	42	9	1	0	27	67	5	12	4	200	306	252	558	52	288	27	11	255	59	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	245	199	48	10	1	0	37	50	5	12	4	241	372	302	673	60	316	20	15	316	59	—	—	—	—	—	—
2024	22	A MLE	Jupiter Hammerheads	—	76	70	12	3	0	0	6	23	0	3	1	171	237	214	451	43	253	30	8	204	24	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	245	211	42	9	1	0	27	67	5	12	4	199	306	251	557	52	278	27	11	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	Jupiter Hammerheads	—	76	70	12	3	0	0	6	23	0	3	1	171	237	214	451	43	253	30	8	204	24	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	245	211	42	9	1	0	27	67	5	12	4	199	306	251	557	52	278	27	11	255	59	—	—	—	—	—	—
YTD	24	AA MLE	MIA	—	337	303	64	10	1	10	27	104	6	17	2	211	289	350	639	139	284	31	8	281	76	-10	+3	+0	+6	+7	0.6
▸ 2026 season
YTD	24	A+ RAW	MIA	—	145	115	36	7	0	7	26	32	4	9	2	313	455	557	1.012	243	382	22	18	445	76	—	—	—	—	—	—
YTD	24	AA RAW	MIA	—	192	176	38	5	1	6	13	50	2	8	0	216	277	358	635	142	264	26	7	284	76	—	—	—	—	—	—
ROS	24	AA MLE	MIA	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		281	33	11	275	72	-0	+0	+0	+0	+0	0.0
TOT	24	AA MLE	MIA	—	346	311	65	10	1	10	28	107	6	17	2	209	287	344	631	135	282	31	8	281	76	-10	+3	+0	+6	+7	0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIA	31%	316	281	60	11	1	6	28	87	4	9	2	214	294	324	618	110	283	28	9	283	78	-8	+1	+0	+6	+7	0.5
2028	26	MLB MLE	MIA	45%	370	329	71	13	1	8	33	100	5	11	2	216	297	334	631	119	284	27	9	287	80	-9	+1	+0	+7	+8	0.8
2029	27	MLB MLE	MIA	49%	390	347	75	14	1	8	35	105	5	11	2	216	297	331	629	115	284	27	9	289	82	-9	+1	+0	+7	+8	0.8
2030	28	MLB MLE	MIA	52%	402	358	77	14	1	9	36	108	5	11	2	215	296	335	631	120	284	27	9	289	82	-9	+1	-1	+7	+9	0.8
2031	29	MLB MLE	MIA	56%	400	356	76	14	1	8	36	109	5	10	2	213	295	326	621	112	283	27	9	287	80	-9	+1	-1	+7	+9	0.6
2032	30	MLB MLE	MIA	59%	399	355	75	14	1	8	36	109	5	9	2	211	293	324	617	113	282	27	9	284	78	-10	+1	-2	+7	+9	0.4
2033	31	MLB MLE	MIA	61%	374	332	70	13	1	7	34	104	5	7	1	211	294	319	613	108	279	28	9	280	76	-11	+1	-3	+7	+8	0.2
2034	32	MLB MLE	MIA	62%	347	308	63	11	1	6	31	98	5	6	1	205	288	305	593	101	276	28	9	274	72	-12	+1	-4	+6	+8	-0.1
2027	25	MLB CTX	MIA	31%	98	88	18	3	0	2	9	27	1	3	1	205	286	307	593	102	275	28	9	266	78	-3	+0	+0	+2	+2	0.1
2028	26	MLB CTX	MIA	45%	165	147	31	5	1	3	15	45	2	5	1	211	293	320	612	109	276	27	9	270	80	-4	+1	+0	+3	+4	0.3
2029	27	MLB CTX	MIA	49%	192	170	36	6	1	4	17	52	3	6	1	212	295	329	624	118	276	27	9	272	82	-4	+1	+0	+3	+4	0.4
2030	28	MLB CTX	MIA	52%	207	183	39	7	1	4	19	56	3	6	1	213	298	328	625	115	276	27	9	272	82	-5	+1	-0	+4	+4	0.4
2031	29	MLB CTX	MIA	56%	223	198	41	7	1	4	20	61	3	6	1	207	290	313	603	106	275	27	9	270	80	-5	+1	-1	+4	+5	0.4
2032	30	MLB CTX	MIA	59%	234	208	44	8	1	5	21	64	3	5	1	212	293	332	625	120	274	27	9	267	78	-6	+1	-1	+4	+5	0.3
2033	31	MLB CTX	MIA	61%	227	201	41	7	1	4	21	63	3	5	1	204	289	308	597	104	271	28	9	263	76	-7	+1	-2	+4	+5	0.1
2034	32	MLB CTX	MIA	62%	215	191	39	7	1	4	19	60	3	4	1	204	286	314	601	110	268	28	9	258	72	-7	+0	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1561	1386	289	50	7	30	141	428	21	40	8	209	291	320	611	111	277	27	9	267	76	-40	+5	-6	+28	+34	2.0
/ 162G	—	A+C		—	650	577	120	21	3	12	59	178	9	17	3	208	291	317	609	109	277	27	9	267	76	-17	+2	-3	+12	+14	0.9
Career	—	MLE		—	3328	2954	622	116	9	60	303	913	44	89	19	211	294	317	610	106	281	27	9	280	76	-77	+9	-10	+54	+65	4.2
/ 162G	—	MLE		—	650	577	122	23	2	12	59	178	9	17	4	211	295	321	616	109	281	27	9	280	76	-17	+2	-2	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.4	1,567	32	38	215	293	331	+28	+16	3.4	3.3
/162	664	13	16	+11.9	+6.8	1.4	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
Connor Caskenette (OGILVIE)	24	40	25	55	60	207/287/310	103	281	4	9	28%	9%	72	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Colt Sedbrook 2010 · AA	25	45→44	38→30	51→50	48	214/305/291	76	273	6	14	22%	8%	75	-0.5	206/301/279	73	263	5	12	22%	8%	71	-0.8	180/292/226	46	232	2	12	20%	9%	55	-1.1
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Onix Vega 2023 · AAA	24	46	39→30	47→45	46	218/292/300	82	293	6	7	26%	8%	71	-0.8	204/278/273	69	266	5	6	23%	8%	59	-1.6	187/270/229	43	240	2	5	21%	9%	46	-1.0
✕Mike Martin 2017 · A	24	45	36→30	51→55	44	211/278/271	60	288	4	14	27%	7%	59	-1.7	230/280/302	72	291	4	18	21%	6%	65	-1.2	243/288/302	60	299	2	27	18%	5%	66	-0.6
✕Matt Scheffler 2023 · AA	25	46	39→40	51→50	49	217/301/305	88	300	7	11	28%	9%	76	-0.4	208/290/284	76	289	5	13	27%	8%	67	-1.1	175/266/217	42	250	2	14	28%	8%	42	-1.3
✕Freddy Zamora 2023 · AA	24	47→52	40	49→50	46	225/294/314	89	301	7	11	26%	8%	74	-0.5	216/288/297	81	290	6	14	26%	8%	69	-0.9	212/289/283	70	282	5	16	24%	8%	63	-0.9
✕Alex Meneses 2008 · AA	24	46	34→30	49→50	54	210/304/264	54	287	2	11	25%	11%	68	-1.0	208/283/273	65	288	4	11	26%	9%	61	-1.5	198/269/236	38	273	2	11	26%	8%	45	-1.2
✕Nick Natoli 2013 · AA	25	42	37→30	52→50	51	198/283/274	76	267	4	10	26%	10%	62	-1.4	184/257/254	70	268	4	11	30%	8%	47	-2.5	148/227/197	48	223	1	11	31%	8%	22	-2.8
✕Will Piwnica-Worms 2014 · A	24	44	38→40	49→50	50	210/290/289	79	270	5	9	23%	9%	68	-1.0	210/277/303	93	289	8	8	28%	7%	65	-1.2	184/246/269	85	256	9	5	30%	6%	47	-1.0
✕Ryan Leonards 2015 · A	24	46	39→40	56→50	43	221/277/308	87	280	6	12	23%	6%	66	-1.1	219/281/297	78	280	5	9	22%	6%	65	-1.2	216/281/280	65	275	3	8	21%	7%	59	-0.7
✕Tim Hutting 2006 · AA	24	51	38→40	49→50	47	238/307/321	83	304	4	11	22%	7%	80	-0.1	229/289/316	87	295	7	9	24%	7%	73	-0.6	223/280/290	67	286	7	5	23%	6%	60	-1.0
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕Cobie Fletcher-Vance 2022 · A	24	46→47	37→40	53→45	49	214/293/288	73	279	4	9	23%	8%	69	-0.9	215/271/294	79	276	5	5	23%	6%	61	-1.5	210/258/282	72	266	5	1	22%	5%	51	-1.2
✕Anthony Prato 2022 · A	24	48→50	36→45	49→55	49	216/308/281	65	312	3	11	29%	10%	73	-0.6	218/307/327	109	307	8	15	29%	10%	83	+0.1	210/307/323	113	293	8	16	28%	10%	80	-0.1
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Andy Paz 2017 · AA	24	50	38→40	51→45	47	238/292/318	79	305	5	7	23%	7%	74	-0.6	224/272/294	70	295	5	9	24%	6%	61	-1.5	203/243/222	19	273	0	7	24%	5%	30	-1.2
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Ross Wilson 2013 · AA	24	45→47	40	49→45	46	216/290/311	95	281	6	7	24%	7%	73	-0.6	201/267/290	89	269	7	6	27%	6%	59	-1.6	187/251/266	79	250	7	4	27%	6%	47	-1.6
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Derrik Gibson 2014 · AA	24	46→55	35→40	50→55	45	216/276/279	63	291	2	15	25%	7%	59	-1.7	238/300/313	75	306	4	12	22%	7%	76	-0.4	246/309/315	68	310	3	11	20%	7%	76	-0.3

Career Stats + Projections

Career Comps

Career Path Comps