Kellon Lindsey — OGILVIE

Kellon LindseySS Ontario Tower Buzzers

Age 20 R/R 6'0" / 175 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION312 act + 10 ros · stats below = ROS only

showingROS

wRC+†94

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP297

ISO130

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$39M ctrl surplus

Tools · ContractCON 46 / POW 40

Toolsscout grade

CONTACT46

scouting grade only

POWER40

scouting grade only

EYE47

scouting grade only

SPEED80

scouting grade only

DEFENSE56

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
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2029	Pre-Arb	$0.8M	+1.3	$8M	+$8M
2030	Pre-Arb	$0.9M	+1.4	$8M	+$8M
2031	Arb-1	$5M	+1.5	$8M	+$5M
2032	Arb-2	$9M	+1.6	$8M	+$3M
2033	Arb-3	$13M	+1.6	$8M	+$1M
Totals		$30M		$44M	+$27M

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	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	129	+5	+1	—	—	+3	0.9
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	95	-0	+0	—	—	+0	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Rancho Cucamonga Quakes	—	142	124	26	5	0	2	16	61	1	10	2	210	305	298	603	89	383	43	11	269	68	-5	+1	—	—	+3	-0.1
2025	19	ROK MLE	ACL Dodgers	—	19	17	3	1	0	1	1	9	0	1	0	176	222	412	634	235	200	47	5	199	21	-2	+0	—	—	+0	-0.1
2025	19	A MLE	2 teams	—	161	141	28	5	0	2	17	70	1	11	2	199	289	277	566	78	366	43	11	261	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	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	161	142	28	5	0	2	17	70	1	11	2	197	289	275	564	77	361	43	11	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	A MLE	2 teams	—	161	142	28	5	0	2	17	70	1	11	2	197	289	275	564	77	361	43	11	261	63	—	—	—	—	—	—
YTD	20	A MLE	LAD	—	312	263	58	7	3	11	39	114	4	20	1	221	330	395	726	175	336	37	12	317	101	+0	+4	+0	+3	+7	1.4
▸ 2026 season
YTD	20	ROK RAW	LAD	—	22	16	6	1	0	2	6	9	0	2	0	375	545	812	1.358	438	800	41	27	561	101	—	—	—	—	—	—
YTD	20	A RAW	LAD	—	290	229	66	9	4	11	50	75	4	18	1	288	423	507	929	218	379	26	17	403	101	—	—	—	—	—	—
ROS	20	A MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		302	30	10	307	94	-0	+0	-0	+0	+0	0.0
TOT	20	A MLE	LAD	—	322	272	59	7	3	11	40	117	4	20	1	217	326	386	712	169	329	36	12	317	100	+0	+4	-0	+3	+7	1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	43%	331	289	66	11	2	10	36	100	3	11	1	228	320	384	704	156	305	30	11	313	98	-1	+2	-1	+4	+7	1.1
2028	22	MLB MLE	LAD	61%	424	370	85	14	3	13	46	124	5	14	2	230	323	389	712	159	304	29	11	318	101	+1	+2	-2	+5	+9	1.5
2029	23	MLB MLE	LAD	68%	480	420	97	16	3	15	52	137	5	17	2	231	323	390	713	160	304	29	11	321	103	+2	+3	-2	+5	+10	1.8
2030	24	MLB MLE	LAD	70%	516	449	105	18	3	16	56	146	6	18	2	234	327	394	721	160	305	28	11	323	105	+3	+3	-2	+6	+11	2.1
2031	25	MLB MLE	LAD	70%	534	465	108	18	3	17	58	150	6	19	2	232	325	394	719	161	305	28	11	325	106	+4	+3	-2	+6	+12	2.2
2032	26	MLB MLE	LAD	71%	542	472	110	19	3	17	59	153	6	19	3	233	326	394	720	161	305	28	11	325	106	+4	+3	-2	+6	+12	2.2
2033	27	MLB MLE	LAD	69%	543	472	111	19	3	18	60	153	6	19	3	235	329	403	732	167	305	28	11	325	106	+4	+3	-2	+6	+12	2.2
2034	28	MLB MLE	LAD	69%	539	468	108	18	3	17	60	153	6	19	2	231	326	391	717	160	304	28	11	324	106	+4	+3	-3	+6	+12	2.2
2035	29	MLB MLE	LAD	67%	529	459	107	18	3	17	59	151	6	18	2	233	328	397	725	163	304	29	11	323	105	+3	+3	-4	+6	+11	2.0
2036	30	MLB MLE	LAD	66%	518	449	103	17	3	16	58	149	6	17	2	229	326	388	713	158	303	29	11	320	103	+2	+3	-4	+6	+11	1.7
2037	31	MLB MLE	LAD	65%	504	437	99	16	3	15	57	147	5	16	2	227	323	380	703	153	300	29	11	316	100	+0	+2	-5	+5	+11	1.4
2038	32	MLB MLE	LAD	65%	486	424	94	15	3	14	54	144	5	15	2	222	317	370	687	149	297	30	11	311	97	-2	+2	-6	+5	+11	1.1
2039	33	MLB MLE	LAD	70%	456	397	87	14	3	13	51	137	5	13	2	219	316	368	683	149	293	30	11	304	92	-4	+2	-6	+5	+10	0.6
2040	34	MLB MLE	LAD	66%	411	358	75	11	2	11	46	126	4	11	1	209	306	344	650	134	288	31	11	296	87	-7	+2	-7	+4	+9	0.2
2027	21	MLB CTX	LAD	43%	143	124	28	5	1	4	16	43	2	5	1	226	324	379	703	153	300	30	11	304	98	-0	+1	-1	+2	+3	0.4
2028	22	MLB CTX	LAD	61%	258	225	50	8	1	8	28	75	3	9	1	222	316	373	690	151	300	29	11	309	101	+0	+1	-1	+3	+6	0.9
2029	23	MLB CTX	LAD	68%	327	284	66	11	2	11	36	93	4	11	1	232	327	401	729	169	300	28	11	312	103	+1	+2	-1	+4	+7	1.3
2030	24	MLB CTX	LAD	70%	359	313	73	12	2	12	39	101	4	13	2	233	326	399	725	166	300	28	11	314	105	+2	+2	-2	+4	+8	1.4
2031	25	MLB CTX	LAD	70%	375	327	77	13	2	13	41	106	4	13	2	235	328	407	735	171	300	28	11	316	106	+3	+2	-2	+4	+8	1.5
2032	26	MLB CTX	LAD	71%	382	333	78	13	2	13	42	108	4	14	2	234	327	402	730	168	300	28	11	316	106	+3	+2	-2	+4	+8	1.6
2033	27	MLB CTX	LAD	69%	376	327	77	13	2	13	42	106	4	14	2	235	330	407	736	171	300	28	11	316	106	+3	+2	-2	+4	+8	1.6
2034	28	MLB CTX	LAD	69%	370	322	74	12	2	12	41	105	4	13	2	230	324	391	716	161	300	28	11	316	106	+3	+2	-2	+4	+8	1.5
2035	29	MLB CTX	LAD	67%	354	307	72	12	2	12	40	101	4	12	2	235	330	404	734	169	299	29	11	314	105	+2	+2	-2	+4	+8	1.3
2036	30	MLB CTX	LAD	66%	341	296	68	11	2	11	38	98	4	11	1	230	325	392	717	162	298	29	11	311	103	+1	+2	-3	+4	+7	1.1
2037	31	MLB CTX	LAD	65%	328	285	64	10	2	10	37	96	3	10	1	225	320	379	699	154	296	29	11	308	100	+0	+2	-3	+4	+7	0.9
2038	32	MLB CTX	LAD	65%	315	274	61	10	1	10	35	93	3	9	1	223	317	376	693	153	293	30	11	303	97	-1	+1	-4	+3	+7	0.7
2039	33	MLB CTX	LAD	70%	320	278	60	9	2	9	36	96	3	9	1	216	312	360	672	144	289	30	11	296	92	-3	+1	-4	+3	+7	0.5
2040	34	MLB CTX	LAD	66%	270	235	48	7	1	7	30	83	3	7	1	204	302	332	634	128	284	31	11	288	87	-4	+1	-4	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4518	3930	896	146	24	145	501	1304	49	150	20	228	323	388	711	160	300	29	11	310	101	+9	+22	-32	+48	+98	14.8
/ 162G	—	A+C		—	650	565	129	21	3	21	72	188	7	22	3	228	323	388	711	159	300	29	11	310	101	+1	+3	-5	+7	+14	2.1
Career	—	MLE		—	6984	6079	1384	229	40	211	770	2043	75	237	30	228	322	383	705	155	304	29	11	317	101	+12	+34	-48	+73	+148	22.3
/ 162G	—	MLE		—	650	566	129	21	4	20	72	190	7	22	3	228	323	385	708	157	303	29	11	317	101	+1	+3	-5	+7	+14	2.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Stephen Drewlast yr '17 career totals — 12 seasons, 4,917 PA	7.4	4,917	123	41	252	318	423	+48	+35	26.3	25.1
/162	664	17	6	+6.5	+4.7	3.5	pk7: 24
#2B.J. Uptonlast yr '16 career totals — 12 seasons, 5,858 PA	8.8	5,858	164	300	243	321	402	+14	+17	24.5	24.5
/162	664	19	34	+1.6	+2.0	2.8	pk7: 25
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.1	4,724	143	156	230	320	387	+49	+27	20.9	17.0
/162	664	20	22	+6.8	+3.8	2.9	pk7: 13
#3Bill Halllast yr '11 career totals — 9 seasons, 3,621 PA	5.5	3,621	123	62	249	308	437	+22	+7	15.9	16.6
/162	664	23	11	+4.1	+1.3	2.9	pk7: 17
#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
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#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

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)	20	22→46	30→40	80	47	217/313/362	144	302	6	9	31%	11%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Pinto 2023 · A	20	49	41→45	59→65	52	232/323/340	107	283	6	29	19%	9%	92	+0.7	232/310/353	121	294	11	18	23%	8%	90	+0.6	226/310/337	111	288	7	11	22%	9%	81	-0.0
✕Addison Russell 2014 · A	20	47→53	49→55	58→50	45	233/304/395	162	313	15	16	29%	8%	97	+1.1	240/303/397	157	305	17	9	26%	7%	97	+1.1	239/310/406	168	295	19	5	25%	8%	97	+0.9
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Kyren Paris 2022 · A	20	47	42→45	60	42	207/289/323	116	361	8	24	41%	9%	75	-0.5	195/280/315	120	315	12	29	38%	9%	70	-0.8	180/273/303	123	282	14	35	38%	10%	63	-0.9
✕Victor Robles 2017 · A	20	51→52	42→50	57→60	42	244/314/356	112	302	8	24	21%	5%	92	+0.7	243/310/375	132	303	10	24	22%	5%	95	+0.9	246/315/392	146	305	12	27	22%	6%	97	+0.9
✕Jordan Lawlar 2023 · AA	21	51	49→50	59→60	43	242/311/390	148	346	16	25	33%	8%	99	+1.2	226/301/363	137	307	13	27	29%	8%	88	+0.5	218/293/370	152	289	16	30	29%	8%	85	+0.1
✕Carlos Jorge 2023 · A	19	45	47→45	63→60	45	216/296/360	143	308	13	30	32%	9%	86	+0.3	202/272/319	117	298	11	25	33%	8%	68	-1.0	211/271/303	92	299	8	34	30%	6%	60	-1.1
✕Jorge Mateo 2015 · A	20	43→48	41→50	60→65	44	207/270/305	98	282	7	30	28%	7%	63	-1.4	210/256/311	101	298	6	37	30%	5%	59	-1.7	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Rudy Martin Jr. 2016 · A	20	49	39→45	60→65	52	227/313/330	103	311	4	16	26%	10%	85	+0.2	205/272/294	89	330	6	26	36%	7%	61	-1.5	229/304/333	104	308	11	52	28%	9%	79	-0.1
●Yoán Moncada 2016 · A	21	49→59	44→55	63→60	43	233/302/354	121	326	11	34	30%	7%	87	+0.4	231/306/370	139	346	13	24	34%	9%	92	+0.7	276/361/458	182	366	19	5	27%	11%	129	+2.7
✕Delino DeShields 2014 · A	21	50→55	40→45	62→65	45	235/299/336	101	315	7	37	26%	7%	81	-0.1	231/304/333	102	309	7	35	25%	9%	82	+0.0	239/318/333	94	320	6	34	25%	10%	82	+0.0
✕Jared Serna 2022 · A	20	42→48	39→45	56→50	53	200/298/293	93	253	6	22	22%	10%	72	-0.7	217/285/340	123	274	12	17	24%	7%	78	-0.3	217/277/347	130	268	14	15	24%	6%	74	-0.4
✕Ryan Brett 2013 · A	21	50→57	39→45	59→60	44	240/285/332	92	295	6	27	20%	6%	74	-0.5	248/288/354	106	301	8	23	20%	5%	80	-0.1	249/285/355	106	299	8	21	19%	4%	77	-0.2
✕Leo Rivas 2018 · A	20	47→54	37→40	56→65	54	218/314/294	76	289	3	19	23%	10%	78	-0.3	190/273/272	82	291	5	10	33%	10%	57	-1.8	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
●Jean Segura 2011 · AAA	21	55→62	42→50	60	44	265/300/380	115	308	8	23	17%	5%	91	+0.6	264/301/370	106	310	8	29	17%	5%	88	+0.5	304/351/443	139	337	13	24	13%	6%	121	+3.0
✕Luke Adams 2023 · A	19	50→36	41→50	55	45	231/306/331	100	330	7	18	30%	8%	83	+0.1	193/323/316	123	270	12	20	30%	11%	89	+0.5	189/341/340	151	235	17	19	25%	12%	100	+0.7
✕Jay Allen II 2022 · A	19	48→46	45→40	58→55	44	236/308/360	124	307	12	21	26%	7%	91	+0.7	189/288/275	86	288	6	30	33%	9%	65	-1.2	197/281/296	99	271	10	24	29%	7%	64	-1.0
✕Jake Marisnick 2012 · A	21	49→54	45→60	56→55	41	239/293/364	125	307	11	21	25%	5%	86	+0.3	229/280/349	120	292	10	20	25%	5%	77	-0.3	231/295/439	208	305	27	18	33%	6%	102	+0.7
✕Peter Bourjos 2009 · A	22	49→55	42→50	60	37	237/270/352	115	307	9	27	26%	4%	74	-0.6	246/290/378	132	304	10	27	22%	5%	87	+0.4	251/300/396	145	307	11	28	21%	5%	93	+0.8

Career Stats + Projections

Career Comps

Career Path Comps