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

APROSPECTMiLBFA 2034

OGV OFP40OGV rank#173ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A/ROK2 orgs	161	.274/.384/.400	3	11	63	—	.206/.295/.290
2026	20	A/ROKLAD	312	.294/.431/.527	13	20	98	—	.224/.333/.392
2027PROJMLE	21	MLBLAD	422	.221/.312/.361	11	12	92	0.5
2028PROJ43% MLB	22	MLBLAD	107	.221/.312/.366	3	3	95	0.2
2029PROJ61% MLB	23	MLBLAD	207	.224/.314/.372	6	7	97	0.6

Next 3 projected WAR 1.4Projected 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$4M2032Arb-2$7M2033Arb-3$10M

Skills · percentileMiLB Statcast 2026 A

Speed92

wOBA88

wRC+88

ISO87

BB%86

Chase%86

Career WAR0.0 WAR median (P10 -0.4 / P90 17, comp-based) · star 5% · didn't stick 83%

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 198 proj PA

wRC+†92

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

PA198

HR5

SB6

K%28

BB%11

ISO140

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$18M ctrl surplus

Contract

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	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Arb-1	$4M	+1.1	$6M	+$4M
2032	Arb-2	$7M	+1.2	$7M	+$3M
2033	Arb-3	$10M	+1.1	$6M	+$0.3M
Totals		$23M		$24M	+$11M

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	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	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAD	43%	248	218	49	9	1	7	26	67	2	8	1	224	315	370	685	145	290	27	10	308	95	-2	+1	-1	+3	+5	0.6
2029	23	MLB MLE	LAD	61%	340	298	67	12	2	9	36	91	3	11	2	227	317	376	694	149	291	27	11	312	97	-1	+1	-1	+4	+7	1.0
2030	24	MLB MLE	LAD	66%	401	352	80	14	2	11	42	106	4	14	3	230	319	381	700	152	292	26	10	314	99	-1	+2	-0	+4	+9	1.4
2031	25	MLB MLE	LAD	69%	435	383	89	16	3	13	45	114	4	15	3	231	319	384	703	153	292	26	10	315	99	-0	+2	-0	+5	+9	1.6
2032	26	MLB MLE	LAD	70%	451	396	92	16	3	13	47	117	5	16	3	231	319	385	704	153	291	26	10	315	100	-0	+2	-0	+5	+10	1.7
2033	27	MLB MLE	LAD	69%	456	402	93	17	3	13	47	119	4	16	3	230	318	382	701	152	291	26	10	314	99	-1	+2	-0	+5	+10	1.6
2034	28	MLB MLE	LAD	74%	454	400	92	16	3	13	47	119	4	15	3	229	317	378	694	149	290	26	10	312	97	-2	+2	-1	+5	+10	1.4
2035	29	MLB MLE	LAD	76%	445	392	88	16	2	12	46	118	4	14	3	226	314	371	685	145	289	27	10	308	95	-3	+2	-2	+5	+10	1.2
2036	30	MLB MLE	LAD	78%	435	383	85	15	2	11	45	117	4	13	3	223	310	364	674	141	287	27	10	304	92	-4	+1	-2	+5	+9	0.9
2037	31	MLB MLE	LAD	79%	417	368	80	14	2	10	42	114	4	11	3	219	306	354	660	135	284	27	10	298	88	-6	+1	-3	+4	+9	0.6
2038	32	MLB MLE	LAD	80%	394	349	74	13	2	9	39	109	3	9	3	214	300	342	642	128	281	28	10	291	83	-8	+1	-4	+4	+9	0.2
2039	33	MLB MLE	LAD	81%	359	318	66	11	2	8	35	102	3	8	3	208	293	328	620	119	276	28	10	282	77	-10	+0	-4	+4	+8	-0.2
2028	22	MLB CTX	LAD	43%	107	94	22	4	1	3	11	29	1	3	1	221	312	366	678	145	283	27	10	305	95	-1	+0	-1	+1	+2	0.2
2029	23	MLB CTX	LAD	61%	207	181	41	7	1	6	22	55	2	7	1	224	314	372	687	149	284	27	11	309	97	-1	+1	-1	+2	+4	0.6
2030	24	MLB CTX	LAD	66%	265	232	52	9	1	8	28	70	3	9	2	226	316	377	693	151	285	26	11	311	99	-0	+1	-0	+3	+6	0.9
2031	25	MLB CTX	LAD	69%	299	263	59	10	1	9	31	78	3	10	2	227	316	380	696	153	285	26	10	312	99	-0	+1	-0	+3	+6	1.1
2032	26	MLB CTX	LAD	70%	315	276	63	11	2	9	33	82	3	11	2	228	316	381	697	153	285	26	10	313	100	-0	+1	-0	+3	+7	1.2
2033	27	MLB CTX	LAD	69%	314	275	62	11	1	9	33	82	3	11	2	227	315	378	694	152	284	26	11	311	99	-0	+1	-0	+3	+7	1.1
2034	28	MLB CTX	LAD	74%	336	295	67	11	2	10	35	88	3	11	2	225	313	374	687	149	284	26	10	309	97	-1	+1	-1	+4	+7	1.1
2035	29	MLB CTX	LAD	76%	340	299	67	11	2	10	35	90	3	11	2	223	311	368	679	145	282	26	10	305	95	-2	+1	-1	+4	+7	0.9
2036	30	MLB CTX	LAD	78%	340	299	65	11	1	9	35	91	3	10	2	220	307	360	668	140	281	27	10	301	92	-3	+1	-2	+4	+7	0.7
2037	31	MLB CTX	LAD	79%	331	291	63	11	1	9	34	90	3	9	2	216	303	351	654	135	278	27	10	295	88	-5	+1	-2	+4	+7	0.5
2038	32	MLB CTX	LAD	80%	316	279	59	10	1	8	32	88	2	8	2	211	297	339	636	128	275	28	10	288	83	-6	+1	-3	+3	+7	0.2
2039	33	MLB CTX	LAD	81%	290	257	53	9	1	7	29	82	2	6	3	205	290	324	614	119	270	28	10	279	77	-8	+0	-3	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3460	3041	673	115	15	97	358	925	31	106	23	221	310	365	674	143	283	27	10	303	93	-29	+12	-14	+37	+75	8.3
/ 162G	—	A+C		—	650	571	127	22	3	18	67	174	6	20	4	222	311	366	677	144	285	27	10	303	93	-5	+2	-3	+7	+14	1.6
Career	—	MLE		—	5506	4836	1081	190	31	146	574	1534	51	187	37	224	312	366	679	143	294	28	10	305	93	-39	+18	-20	+54	+109	12.3
/ 162G	—	MLE		—	650	571	127	22	4	17	68	181	6	22	4	222	312	364	676	142	293	28	10	305	93	-5	+2	-3	+7	+14	1.6

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 AOntario Tower Buzzers · 290 PAwOBA .395 → .312 (−83)K% 25.9% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.86%	÷1.000	×1.360	—	—	35.17%
BB% (unintentional) /PA	17.24%	÷1.000	×0.690	—	×1.015	12.07%
HBP% /PA	1.38%	—	×0.780	—	×1.015	1.09%
Singles /BIP	27.27%	÷1.000	×0.920	×0.950	×1.015	24.19%
Doubles /BIP	5.84%	÷1.000	×0.830	×0.950	×1.015	4.68%
Triples /BIP	2.60%	÷1.000	×0.910	×0.950	×1.015	2.28%
Home runs /BIP	7.14%	÷1.000	×0.800	—	×1.015	5.80%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .395 → .312; ISO .218 → .174; BABIP .379 → .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).

2026 ROKACL Dodgers · 22 PAwOBA .547 → .328 (−219)K% 40.9% → 58.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.91%	÷1.000	×1.440	—	—	58.91%
BB% (unintentional) /PA	27.27%	÷1.000	×0.620	—	×0.985	16.66%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	42.86%	÷1.000	×0.820	—	×0.985	34.62%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.985	10.13%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	28.57%	÷1.000	×0.780	—	×0.985	21.95%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .547 → .328; ISO .438 → .255; BABIP .800 → .573. 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 ARancho Cucamonga Quakes · 142 PAwOBA .353 → .270 (−82)K% 31.7% → 43.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.69%	÷0.987	×1.360	—	—	43.66%
BB% (unintentional) /PA	15.49%	÷0.981	×0.690	—	×1.030	11.22%
HBP% /PA	0.70%	—	×0.780	—	×1.030	0.57%
Singles /BIP	32.88%	÷1.004	×0.920	×1.019	×1.030	31.62%
Doubles /BIP	9.59%	÷1.054	×0.830	×1.019	×1.030	7.93%
Triples /BIP	0.00%	÷1.150	×0.910	×1.019	×1.030	0.00%
Home runs /BIP	2.74%	÷1.055	×0.800	—	×1.030	2.14%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .353 → .270; ISO .110 → .077; BABIP .431 → .398. 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 ROKACL Dodgers · 19 PAwOBA .317 → .198 (−119)K% 31.6% → 45.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷0.993	×1.440	—	—	45.81%
BB% (unintentional) /PA	5.26%	÷0.997	×0.620	—	×0.995	3.26%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	18.18%	÷0.996	×0.820	—	×0.995	14.90%
Doubles /BIP	9.09%	÷1.102	×0.720	—	×0.995	5.91%
Triples /BIP	0.00%	÷1.060	×0.720	—	×0.995	0.00%
Home runs /BIP	9.09%	÷1.187	×0.780	—	×0.995	5.94%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 99, 2B 120, 3B 112, K 99, BB 99 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .317 → .198; ISO .235 → .135; BABIP .273 → .199. 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
#1Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.5	3,659	97	112	225	309	369	+39	-0	12.1	10.4
/162	664	18	20	+7.1	-0.1	2.2	pk7: 9
#2Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
#6Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6

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	—	—	—	—	219/309/358	139	289	5	6	28%	11%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
●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
●Peter Bourjos 2010 · AA	23	52→56	42→50	62→60	43	251/294/371	121	310	8	28	22%	5%	86	+0.3	251/299/394	143	310	12	24	22%	5%	94	+0.9	250/301/400	150	307	13	24	22%	5%	95	+0.8
●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
●Luke Keaschall 2024 · A	21	49→58	44→45	56→55	46	237/309/366	129	311	10	16	26%	8%	92	+0.7	257/344/386	129	308	12	23	20%	9%	110	+2.1	267/360/392	125	312	12	25	17%	9%	117	+2.0
✕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

How the minor-league lines were translated

Career Comps

Career Path Comps