Kellon Lindsey

SS Ontario Tower Buzzers

Age 21 R/R 6'0" / 175 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

APROSPECTFG #501MiLBFA 2034

Scout OFP49ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ALAA	142	.280/.397/.390	2	10	69	—	.210/.305/.274
2025	19	ROKLAD	19	.235/.278/.471	1	1	20	—	.176/.222/.412
2026	20	ALAD	290	.288/.423/.507	11	18	97	—	.224/.331/.388
2026	20	ROKLAD	22	.375/.545/.812	2	2	108	—	.222/.364/.444
2027PROJ0% MLB	21	MLBLAD	422	.221/.312/.361	11	12	92	0.8
2028PROJ48% MLB	22	MLBLAD	174	.221/.312/.366	5	6	95	0.4
2029PROJ68% MLB	23	MLBLAD	296	.224/.314/.372	9	10	97	0.9

Next 3 projected WAR 2.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$5M2032Arb-2$8M2033Arb-3$11M

Skills · percentileMiLB Statcast 2026 A

Speed92

wOBA88

wRC+88

ISO87

BB%86

Chase%86

Career WAR0 WAR median (P10 -0 / P90 10, comp-based) · star 4% · didn't stick 85%

CompsMasyn Winn (age 21) · Jett Williams (age 20) · Jordan Lawlar (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 307 proj PA

wRC+†92

AVG/OBP/SLG.219 / .309 / .358

PA307

HR8

SB9

K%28

BB%11

ISO140

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$29M ctrl surplus

Tools · ContractCON 46 / POW 43

Toolsscout grade

CONTACT46

scouting grade only

POWER43

scouting grade only

EYE47

scouting grade only

SPEED80

scouting grade only

DEFENSE49

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
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.8M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.8M	+1.3	$8M	+$8M
2031	Arb-1	$5M	+1.4	$8M	+$5M
2032	Arb-2	$8M	+1.5	$8M	+$4M
2033	Arb-3	$11M	+1.4	$7M	+$1M
Totals		$26M		$36M	+$21M

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 = actual YTD + projected ROS + total. 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	19	A	Rancho Cucamonga Quakes	—	142	118	33	7	0	2	22	45	1	10	2	280	397	390	787	110	431	32	15	359	69	—	—	—	—	—	—
2025	19	ROK	ACL Dodgers	—	19	17	4	1	0	1	1	6	0	1	0	235	278	471	748	235	273	32	5	309	20	—	—	—	—	—	—
2026	20	A	Ontario Tower Buzzers	—	290	229	66	9	4	11	50	75	4	18	1	288	423	507	929	218	379	26	17	403	97	—	—	—	—	—	—
2026	20	ROK	ACL Dodgers	—	22	16	6	1	0	2	6	9	0	2	0	375	545	812	1.358	438	800	41	27	561	108	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Rancho Cucamonga Quakes	—	142	124	26	5	0	1	16	62	1	10	2	210	305	274	579	65	398	44	11	270	69	—	—	—	—	—	—
2025	19	ROK MLE	ACL Dodgers	—	19	17	3	1	0	1	1	9	0	1	0	176	222	412	634	235	199	47	5	198	20	—	—	—	—	—	—
2026	20	A MLE	Ontario Tower Buzzers	—	290	245	55	7	3	9	35	102	4	18	1	224	331	388	719	163	326	35	12	312	97	—	—	—	—	—	—
2026	20	ROK MLE	ACL Dodgers	—	22	18	4	1	0	1	4	13	0	2	0	222	364	444	808	222	573	59	18	328	108	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	161	141	29	6	0	2	17	71	1	11	2	206	296	291	586	85	386	44	11	262	63	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	161	135	37	8	0	3	23	51	1	11	2	274	384	400	784	126	410	32	14	353	63	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	312	263	59	8	3	10	39	115	4	20	1	224	333	392	725	167	350	37	12	313	98	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	312	245	72	10	4	13	56	84	4	20	1	294	431	527	958	233	393	27	18	414	98	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	161	142	29	6	0	2	17	71	1	11	2	204	296	289	584	85	375	44	11	262	63	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	312	266	59	8	3	10	39	115	4	20	1	222	333	387	721	165	343	37	12	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	A MLE	2 teams	—	161	142	29	6	0	2	17	71	1	11	2	204	296	289	584	85	375	44	11	262	63	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	312	266	59	8	3	10	39	115	4	20	1	222	333	387	721	165	343	37	12	313	98	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAD	0%	422	370	82	14	3	11	45	117	4	12	2	221	312	361	673	140	289	28	11	304	92	-4	+2	-3	+5	+9	0.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAD	48%	360	315	71	13	2	10	38	98	4	11	2	224	315	370	685	145	290	27	11	308	95	-2	+1	-2	+4	+8	0.9
2029	23	MLB MLE	LAD	68%	434	381	86	15	3	12	46	116	4	15	3	227	317	376	694	149	291	27	11	312	97	-2	+2	-1	+5	+9	1.3
2030	24	MLB MLE	LAD	74%	484	425	97	17	3	14	51	128	5	17	3	230	319	381	700	152	292	26	11	314	99	-1	+2	-0	+5	+10	1.7
2031	25	MLB MLE	LAD	77%	511	448	103	18	3	15	53	133	5	18	3	231	319	384	703	153	292	26	10	315	99	-0	+2	-0	+5	+11	1.9
2032	26	MLB MLE	LAD	78%	525	461	106	19	3	15	54	136	5	18	3	231	319	385	704	153	291	26	10	315	100	-0	+2	-0	+6	+11	1.9
2033	27	MLB MLE	LAD	77%	530	465	107	19	3	15	55	138	5	18	3	230	318	382	701	152	291	26	10	314	99	-1	+2	-0	+6	+11	1.9
2034	28	MLB MLE	LAD	83%	528	463	106	19	3	15	55	139	5	17	3	229	317	378	694	149	290	26	10	312	97	-2	+2	-1	+6	+11	1.7
2035	29	MLB MLE	LAD	86%	520	456	104	19	3	14	54	138	5	16	3	226	314	371	685	145	289	27	10	308	95	-3	+2	-2	+6	+11	1.4
2036	30	MLB MLE	LAD	88%	511	449	101	18	3	13	52	137	5	15	3	223	310	364	674	141	287	27	10	304	92	-5	+2	-2	+5	+11	1.1
2037	31	MLB MLE	LAD	89%	497	440	95	17	2	12	50	136	4	13	3	219	306	354	660	135	284	27	10	298	88	-7	+1	-3	+5	+11	0.7
2038	32	MLB MLE	LAD	90%	479	424	90	16	2	11	48	133	4	11	4	214	300	342	642	128	281	28	10	291	83	-10	+1	-4	+5	+10	0.3
2039	33	MLB MLE	LAD	91%	450	400	83	14	2	10	44	127	3	10	4	208	293	328	620	119	276	28	10	282	77	-12	+0	-4	+5	+10	-0.2
2028	22	MLB CTX	LAD	48%	174	152	34	6	1	5	18	47	2	6	1	221	312	366	678	145	283	27	10	305	95	-1	+1	-1	+2	+4	0.4
2029	23	MLB CTX	LAD	68%	296	260	58	10	1	9	31	79	3	10	2	224	314	372	687	149	284	27	10	309	97	-1	+1	-1	+3	+6	0.9
2030	24	MLB CTX	LAD	74%	359	314	72	12	2	11	38	95	4	12	2	226	316	377	693	151	285	26	11	311	99	-1	+2	-0	+4	+8	1.3
2031	25	MLB CTX	LAD	77%	393	345	78	13	2	12	41	103	4	14	3	227	316	380	696	153	285	26	10	312	99	-0	+2	-0	+4	+9	1.4
2032	26	MLB CTX	LAD	78%	410	361	82	14	2	12	42	106	4	14	3	228	316	381	697	153	285	26	10	313	100	-0	+2	-0	+4	+9	1.5
2033	27	MLB CTX	LAD	77%	409	360	81	14	2	12	42	107	4	14	3	227	315	378	694	152	284	26	10	311	99	-1	+2	-0	+4	+9	1.4
2034	28	MLB CTX	LAD	83%	437	385	87	15	2	13	45	115	4	14	3	225	313	374	687	149	284	26	10	309	97	-2	+2	-1	+5	+9	1.4
2035	29	MLB CTX	LAD	86%	446	393	88	15	2	13	46	118	4	14	3	223	311	368	679	145	282	26	10	305	95	-3	+2	-1	+5	+10	1.2
2036	30	MLB CTX	LAD	88%	448	395	87	15	2	12	46	120	4	13	3	220	307	360	668	140	281	27	10	301	92	-4	+1	-2	+5	+10	1.0
2037	31	MLB CTX	LAD	89%	443	391	85	14	2	12	45	121	4	12	3	216	303	351	654	135	278	27	10	295	88	-6	+1	-3	+5	+10	0.7
2038	32	MLB CTX	LAD	90%	431	382	81	13	2	11	43	120	3	10	3	211	297	339	636	128	275	28	10	288	83	-9	+1	-3	+5	+9	0.3
2039	33	MLB CTX	LAD	91%	408	362	74	12	2	9	40	116	3	9	4	205	290	324	614	119	270	28	10	279	77	-11	+0	-4	+4	+9	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4654	4100	907	153	22	131	477	1247	43	142	33	221	309	365	674	144	283	27	10	303	93	-39	+15	-16	+50	+101	11.3
/ 162G	—	A+C		—	650	573	126	21	3	18	67	174	6	20	5	220	309	361	670	141	281	27	10	303	93	-5	+2	-2	+7	+14	1.6
Career	—	MLE		—	6609	5799	1296	228	37	176	689	1830	62	219	42	223	313	367	679	143	293	28	10	305	93	-49	+22	-22	+66	+133	15.3
/ 162G	—	MLE		—	650	570	127	22	4	17	68	180	6	22	4	223	312	365	677	142	292	28	10	305	93	-5	+2	-2	+7	+14	1.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Lyn Lary'29-'40 * career totals — 12 seasons, 5,424 PA	8.2	5,424	38	162	241*	335*	368*	+54	-2	19.2	20.4
/162	664	5	20	+6.6	-0.2	2.4	pk7: 22
#2Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#3Frankie Crosetti'32-'48 * career totals — 15 seasons, 7,273 PA	11.0	7,273	98	113	226*	314*	363*	+73	-6	16.5	16.3
/162	664	9	10	+6.7	-0.5	1.5	pk7: 16
#4Freddie Patek'68-'81 * career totals — 13 seasons, 6,246 PA	9.4	6,246	41	385	242*	311*	356*	+66	-5	14.7	15.3
/162	664	4	41	+7.0	-0.5	1.6	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.5	4,960	132	151	225	309	368	+53	-0	16.4	13.9
/162	664	18	20	+7.1	-0.1	2.2	pk7: 11
#5Julio Lugo'00-'11 * career totals — 11 seasons, 5,338 PA	8.0	5,338	80	198	259*	323*	374*	+48	-38	10.5	11.7
/162	664	10	25	+6.0	-4.7	1.3	pk7: 13
#6Danny 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

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
Kellon Lindsey (OGILVIE)	21	22→46	30→43	80	47	219/309/358	139	289	8	9	28%	11%	92	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2023 · AA	21	48→53	44→50	61→55	46	231/292/359	128	308	9	28	27%	8%	84	+0.1	243/298/376	133	291	13	16	20%	7%	90	+0.6	248/309/365	117	296	11	11	19%	7%	93	+0.8
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
✕Jordan Lawlar 2023 · AA	21	53→55	48→50	60	44	250/321/400	150	359	16	25	33%	8%	104	+1.6	235/312/377	142	318	13	27	28%	8%	96	+1.0	231/307/395	164	304	17	30	28%	8%	96	+0.6
✕Kyren Paris 2023 · AA	21	44→49	45	60	43	203/291/336	132	329	12	27	38%	9%	79	-0.2	201/289/328	127	317	13	30	37%	10%	77	-0.3	189/282/319	130	294	14	35	37%	10%	71	-0.5
✕Anthony Volpe 2023 · AAA	22	44→50	53→55	60→55	49	227/311/414	187	277	19	29	25%	9%	104	+1.6	222/287/376	154	278	16	24	25%	8%	86	+0.3	226/286/365	138	282	13	24	24%	7%	83	+0.1
✕Addison Russell 2014 · A	20	49→52	50→55	58→50	46	241/313/409	168	325	15	16	29%	8%	103	+1.6	243/305/404	161	309	18	9	26%	7%	99	+1.3	236/301/401	165	290	19	5	25%	7%	99	+1.1
✕Matt Shaw 2024 · AA	22	52→48	49→55	59→55	41	261/297/413	152	307	16	22	21%	4%	98	+1.2	244/315/408	164	287	19	23	21%	8%	104	+1.6	237/316/404	167	275	19	23	21%	9%	102	+1.1
✕Mason Auer 2023 · A	22	47	47→45	63→60	43	230/292/371	140	304	13	29	28%	7%	86	+0.3	190/249/304	114	290	10	31	36%	6%	55	-1.9	163/223/268	105	258	9	37	39%	6%	35	-2.4
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
●Matt McLain 2023 · AA	23	41→51	50→55	59→55	48	209/297/370	161	292	17	24	33%	10%	89	+0.5	248/327/426	178	332	20	21	29%	9%	113	+2.3	229/312/388	159	300	18	22	28%	9%	98	+1.1
●Peter Bourjos 2009 · A	22	50→56	43→50	60	38	242/275/359	118	313	9	27	26%	4%	77	-0.3	252/296/387	135	312	10	27	22%	5%	91	+0.7	257/307/406	149	314	12	28	21%	5%	98	+1.1
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Jake Marisnick 2012 · A	21	50→56	45→60	57→55	41	245/300/373	128	315	12	21	25%	5%	91	+0.6	236/287/360	124	301	11	20	25%	5%	82	+0.0	229/291/435	206	302	27	18	33%	6%	103	+0.8
✕Delino DeShields 2014 · A	21	51→56	41→45	62→65	46	241/307/345	104	324	7	37	26%	8%	86	+0.3	234/309/338	104	313	7	35	25%	9%	85	+0.2	240/319/333	93	321	6	34	25%	10%	85	+0.2
✕Ceddanne Rafaela 2023 · AA	22	47→55	50→55	58→55	37	238/275/402	164	298	17	19	26%	4%	88	+0.4	245/282/399	154	307	17	23	25%	4%	90	+0.6	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Tommy Troy 2024 · A	22	47→55	46→45	57→50	44	228/298/359	132	326	13	18	32%	8%	86	+0.3	223/292/336	113	299	10	17	27%	8%	79	-0.2	233/306/347	114	304	10	17	25%	8%	84	+0.1
●Maikel Garcia 2022 · A	22	51→58	39→45	58→60	51	240/305/333	93	302	5	22	21%	9%	82	-0.0	250/306/350	100	317	7	27	22%	8%	86	+0.3	260/322/390	130	293	10	24	14%	8%	102	+1.4
✕Luisangel Acuña 2023 · AA	21	48→58	44→45	58→60	44	232/293/349	117	320	12	31	30%	8%	82	-0.0	255/300/354	99	326	8	35	23%	6%	85	+0.2	262/305/352	89	327	6	40	21%	5%	84	+0.1
✕Ryan Brett 2013 · A	21	51→58	39→45	59→60	45	241/287/334	93	297	6	27	20%	6%	76	-0.4	253/293/362	109	307	8	23	20%	5%	84	+0.2	256/293/368	112	307	9	21	19%	4%	82	+0.0
✕Tim Tawa 2022 · A	23	45	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	213/278/339	126	273	14	11	26%	8%	74	-0.5	223/286/391	168	267	21	13	25%	7%	88	+0.3

Kellon Lindsey

Career Stats + Projections

Career Comps

Career Path Comps