Kevin Bazzell — OGILVIE

Kevin BazzellC Wilmington Blue Rocks

Age 23 R/R 6'1" / 205 lbs A+ Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION270 act + 8 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%25

BB%12

BABIP274

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$19M ctrl surplus

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED30

scouting grade only

DEFENSE55

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	+0.4	$1M	+$0.8M
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	+$4M
2031	Arb-2	$5M	+0.9	$2M	+$0.0M (cut)
2032	Arb-3	$7M	+0.8	$2M	+$0.0M (cut)
Totals		$6M		$17M	+$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. 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	21	A	Fredericksburg Nationals	—	60	44	12	3	1	0	11	10	3	1	2	273	448	386	835	114	333	17	18	376	141	+3	-1	—	—	+1	0.4
2025	22	A	Fredericksburg Nationals	—	335	285	68	8	0	0	34	32	12	8	1	239	344	267	611	28	265	10	10	290	82	-7	+1	—	—	+7	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Fredericksburg Nationals	—	60	48	12	3	1	0	7	14	3	1	2	250	379	354	733	104	301	23	12	318	101	+0	-1	—	—	+1	0.1
2025	22	A MLE	Fredericksburg Nationals	—	335	297	61	6	0	0	22	47	12	8	1	205	287	226	513	20	237	14	7	239	48	-21	+1	—	—	+7	-1.3
2024	21	A MLE	Fredericksburg Nationals	—	60	48	12	3	1	0	7	14	3	1	2	250	379	354	733	104	333	23	12	318	101	—	—	—	—	—	—
2024	21	A RAW	Fredericksburg Nationals	—	60	44	12	3	1	0	11	10	3	1	2	273	448	386	835	114	333	17	18	376	101	—	—	—	—	—	—
2025	22	A MLE	Fredericksburg Nationals	—	335	297	61	6	0	0	22	47	12	8	1	205	287	226	513	20	240	14	7	239	48	—	—	—	—	—	—
2025	22	A RAW	Fredericksburg Nationals	—	335	285	68	8	0	0	34	32	12	8	1	239	344	267	611	28	265	10	10	290	48	—	—	—	—	—	—
2024	21	A MLE	Fredericksburg Nationals	—	60	50	12	3	1	0	7	14	3	1	2	240	379	340	719	100	301	23	12	318	101	—	—	—	—	—	—
2025	22	A MLE	Fredericksburg Nationals	—	335	298	61	6	0	0	22	47	12	8	1	205	287	225	512	20	237	14	7	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Fredericksburg Nationals	—	60	50	12	3	1	0	7	14	3	1	2	240	379	340	719	100	301	23	12	318	101	—	—	—	—	—	—
2025	22	A MLE	Fredericksburg Nationals	—	335	298	61	6	0	0	22	47	12	8	1	205	287	225	512	20	237	14	7	239	48	—	—	—	—	—	—
YTD	23	A+ MLE	WSH	—	270	240	57	12	0	7	20	53	6	10	2	237	312	375	687	138	273	20	7	303	91	-3	+1	+0	+5	+6	0.9
▸ 2026 season
YTD	23	A+ RAW	WSH	—	213	181	50	10	0	7	25	35	5	8	1	276	379	448	827	171	305	16	12	368	91	—	—	—	—	—	—
YTD	23	AA RAW	WSH	—	57	49	16	5	0	2	5	5	1	2	1	327	400	551	951	224	326	9	9	403	91	—	—	—	—	—	—
ROS	23	A+ MLE	WSH	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		274	25	12	288	81	-0	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	WSH	—	278	247	58	12	0	7	21	55	6	10	2	235	310	368	679	134	271	20	8	303	91	-3	+1	+0	+5	+6	0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	WSH	38%	401	361	84	17	1	7	30	77	7	6	1	233	304	343	648	111	277	19	7	295	86	-7	+1	+0	+7	+9	1.1
2028	25	MLB MLE	WSH	55%	440	395	94	19	1	9	34	85	8	5	1	238	311	359	671	122	278	19	8	300	89	-6	+1	+1	+8	+10	1.3
2029	26	MLB MLE	WSH	64%	464	417	98	20	1	9	36	90	8	5	1	235	308	353	661	118	278	19	8	302	90	-5	+1	+1	+8	+10	1.4
2030	27	MLB MLE	WSH	66%	472	424	100	20	1	10	37	92	8	5	1	236	309	358	668	123	278	19	8	302	91	-5	+1	+1	+8	+10	1.5
2031	28	MLB MLE	WSH	67%	472	423	100	20	1	10	38	93	8	4	1	236	311	359	671	123	278	20	8	301	90	-6	+0	-0	+8	+10	1.4
2032	29	MLB MLE	WSH	66%	466	418	97	19	1	9	37	92	8	4	1	232	307	347	654	115	277	20	8	299	89	-6	+0	-1	+8	+10	1.2
2033	30	MLB MLE	WSH	65%	457	409	95	19	1	9	37	92	8	3	1	232	308	350	658	117	276	20	8	297	87	-7	+0	-2	+8	+10	1.0
2034	31	MLB MLE	WSH	65%	431	386	88	17	1	8	35	88	7	3	1	228	304	339	643	111	274	20	8	292	84	-8	+0	-2	+8	+9	0.7
2035	32	MLB MLE	WSH	65%	401	359	81	16	1	7	32	83	7	3	1	226	302	334	636	109	270	21	8	287	80	-9	+0	-3	+7	+9	0.4
2036	33	MLB MLE	WSH	70%	362	324	71	13	1	6	29	77	6	2	0	219	295	321	616	102	266	21	8	280	76	-11	+0	-4	+6	+8	0.0
2027	24	MLB CTX	WSH	38%	152	137	31	6	0	3	11	29	3	2	1	226	298	336	634	109	276	19	7	281	86	-3	+0	+0	+3	+3	0.4
2028	25	MLB CTX	WSH	55%	244	219	52	10	1	5	19	47	4	3	1	237	310	361	671	123	277	19	8	286	89	-3	+0	+0	+4	+5	0.7
2029	26	MLB CTX	WSH	64%	295	265	62	12	1	6	23	57	5	3	1	234	307	355	662	121	278	19	8	288	90	-3	+0	+0	+5	+6	0.9
2030	27	MLB CTX	WSH	66%	310	278	65	13	1	6	24	60	5	3	1	234	306	353	659	119	278	19	8	288	91	-3	+0	+0	+6	+7	1.0
2031	28	MLB CTX	WSH	67%	315	281	66	13	1	6	25	62	6	3	1	235	311	352	663	117	277	20	8	288	90	-4	+0	-0	+6	+7	0.9
2032	29	MLB CTX	WSH	66%	306	273	64	13	1	6	25	61	5	2	1	234	310	355	666	121	276	20	8	286	89	-4	+0	-1	+5	+7	0.8
2033	30	MLB CTX	WSH	65%	298	267	62	12	1	6	24	60	5	2	0	232	307	352	659	120	275	20	8	283	87	-5	+0	-1	+5	+6	0.7
2034	31	MLB CTX	WSH	65%	279	250	57	11	1	5	22	57	5	2	0	228	303	340	643	112	273	20	8	279	84	-5	+0	-1	+5	+6	0.5
2035	32	MLB CTX	WSH	65%	259	232	52	10	0	5	21	54	4	2	0	224	300	332	632	108	270	21	8	274	80	-6	+0	-2	+5	+6	0.3
2036	33	MLB CTX	WSH	70%	254	228	49	9	0	4	20	54	4	1	0	215	290	307	597	92	266	21	8	267	76	-7	+0	-3	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2712	2430	560	109	7	52	214	541	46	23	6	230	305	345	650	115	275	20	8	282	84	-44	+2	-6	+48	+59	6.0
/ 162G	—	A+C		—	650	582	134	26	2	12	51	130	11	6	1	230	304	344	648	113	275	20	8	282	84	-10	+1	-2	+12	+14	1.4
Career	—	MLE		—	4769	4268	982	189	11	84	375	932	90	49	12	230	306	339	644	108	274	20	8	292	84	-70	+4	-9	+78	+95	10.0
/ 162G	—	MLE		—	650	582	133	26	1	11	51	127	12	7	2	229	304	333	637	105	272	20	8	292	84	-10	+1	-1	+12	+14	1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#6Bobby 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.1	2,714	52	24	233	304	350	+48	+12	8.0	7.4
/162	664	13	6	+11.9	+2.9	2.0	pk7: 7

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
Kevin Bazzell (OGILVIE)	23	30→45	25→30	30	50	228/301/328	100	274	5	8	19%	7%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Taylor Krick 2012 · A	24	46	36→30	40	48	214/300/271	57	291	4	5	26%	8%	68	-1.0	233/317/303	70	321	3	5	26%	8%	81	-0.1	244/334/306	62	340	1	3	25%	9%	85	+0.1
✕Blake Ochoa 2009 · A	23	44	40→45	40	45	213/266/308	96	269	8	5	24%	6%	62	-1.4	237/297/380	143	290	16	5	23%	7%	91	+0.6	247/311/417	170	291	21	2	22%	7%	105	+0.5
✕James Guerrero 2007 · A	23	43→46	39→40	39→45	53	204/284/288	84	238	6	6	17%	9%	65	-1.2	206/293/291	85	259	6	8	21%	10%	70	-0.9	196/294/272	75	250	5	8	22%	11%	64	-0.6
✕Jhonny Pereda 2018 · A	22	46→47	35→40	39→40	45	216/274/273	57	278	3	4	22%	7%	57	-1.8	218/271/289	71	268	6	4	20%	7%	59	-1.6	272/342/370	98	361	7	0	25%	9%	101	+0.6
✕Travis Harrison 2016 · AA	23	46→49	39→40	37→45	48	215/295/307	92	292	5	4	26%	8%	74	-0.6	191/275/275	84	282	5	9	31%	8%	59	-1.6	168/258/243	76	256	5	10	33%	9%	45	-1.9
✕J.J. Franco 2015 · A	23	49	37→30	39→45	44	234/290/302	68	299	5	6	23%	6%	70	-0.9	208/265/268	60	281	3	5	25%	7%	53	-2.1	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Donny Sands 2018 · A	22	48	38→45	37→40	43	232/273/310	78	288	6	4	21%	5%	65	-1.2	208/255/289	81	288	5	4	28%	5%	53	-2.1	224/286/336	112	273	12	2	22%	8%	74	-0.3
✕Anderson Hidalgo 2012 · A	23	49	41→45	35→50	42	233/282/339	105	300	8	3	24%	6%	75	-0.5	211/264/302	91	277	7	4	25%	6%	60	-1.6	186/239/256	70	241	5	1	24%	5%	39	-1.7
✕Matt Kennelly 2012 · AA	23	44	39→40	36→40	43	215/267/294	79	283	7	3	26%	6%	59	-1.6	222/275/298	76	275	4	6	20%	6%	63	-1.4	218/274/265	48	268	1	2	18%	6%	52	-1.0
✕Freddy Fermin 2018 · A	23	47	35→50	40	51	216/285/274	58	259	2	3	17%	8%	62	-1.4	209/259/302	93	246	9	4	19%	6%	58	-1.7	252/312/397	144	294	18	2	20%	7%	98	+0.7
✕Radames Nazario 2010 · A	23	44	39→40	34→40	40	211/263/302	91	265	6	5	22%	4%	60	-1.6	215/269/301	86	291	5	5	26%	6%	62	-1.4	209/275/277	68	284	5	2	26%	7%	56	-0.9
✕Brallan Perez 2019 · A	23	52	35→30	42→50	46	244/299/302	58	300	3	7	19%	6%	73	-0.6	220/278/279	59	284	3	8	22%	6%	60	-1.6	205/265/240	34	265	2	8	21%	6%	43	-1.6
✕Matt McLaughlin 2019 · A	23	46→43	39→30	39→45	43	219/274/306	87	277	6	8	23%	6%	65	-1.2	206/268/273	67	284	4	8	27%	7%	55	-1.9	191/258/242	52	266	2	7	27%	7%	42	-1.9
✕Imeldo Diaz 2021 · A	23	49	39→40	40→45	39	236/271/328	92	301	6	6	23%	4%	68	-1.0	218/256/296	78	306	6	7	30%	4%	55	-1.9	205/226/233	27	293	3	3	30%	2%	26	-1.0
✕Alfredo Rodriguez 2013 · A	23	46→51	35→30	40→50	46	216/280/278	63	275	2	7	22%	7%	61	-1.5	224/288/282	58	272	3	10	18%	7%	65	-1.2	227/293/274	48	270	3	12	16%	7%	62	-0.9
✕Ramon Soto 2011 · AAA	23	51	36→30	40→45	44	243/287/302	59	291	4	8	18%	5%	68	-1.0	241/289/307	66	290	4	8	17%	5%	70	-0.8	287/333/348	61	355	1	8	18%	5%	92	+0.3
✕Brian Serven 2018 · A	23	43	37→50	40→30	44	203/260/282	79	255	4	6	21%	6%	55	-2.0	197/252/312	115	257	11	4	27%	5%	58	-1.7	217/296/335	118	314	12	1	32%	8%	79	-0.1
✕Kevin Kramer 2017 · A	23	51→54	38→45	38→50	48	242/299/330	88	292	4	5	18%	7%	79	-0.2	240/295/356	116	319	9	9	26%	6%	84	+0.2	233/290/357	124	323	10	9	29%	6%	81	-0.1
✕Brett Pope 2019 · A	23	47	38→40	39→50	48	222/295/303	81	293	5	8	25%	8%	72	-0.7	216/276/296	80	285	5	10	24%	7%	63	-1.3	206/262/271	65	269	4	10	23%	6%	49	-1.3
✕Corey Kemp 2009 · A	23	43→49	38→40	41→40	42	206/268/282	76	272	6	3	26%	6%	57	-1.8	223/287/308	85	296	5	4	24%	8%	70	-0.8	230/298/316	86	301	4	2	23%	8%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps