Tyson Lewis

SS Daytona Tortugas

Age 21 L/R 6'1" / 195 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

ETA2029MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A/ROKCIN	351	.311/.378/.486	9	27	64	—	.220/.278/.325
2026	20	A+/ACIN	463	.258/.314/.403	11	21	58	—	.213/.260/.320
2027PROJMLE	21	MLBCIN	8	.176/.226/.278	0	0	38	-0.0
2028PROJ36% MLB	22	MLBCIN	152	.183/.235/.302	4	4	47	-0.5
2029PROJ49% MLB	23	MLBCIN	230	.191/.244/.325	6	7	55	-0.5

Next 3 projected WAR -1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$1M2033Arb-2$1M2034Arb-3$1.0M

Skills · percentileMiLB Statcast 2026 A+

Speed62

ISO52

wOBA39

wRC+36

Z-Con%28

K%22

Career WAR0.0 WAR median (P10 -0.2 / P90 0.2, comp-based) · star 1% · didn't stick 93%

CompsJase Bowen (age 21) · Kahlil Watson (age 21) · Ricardo Méndez (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†38

AVG/OBP/SLG.176 / .226 / .278

PA8

HR0

K%38

BB%5

BABIP260

ISO107

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$1M	—	—	—
2033	Arb-2	$1M	—	—	—
2034	Arb-3	$1.0M	—	—	—
Totals		$0.0M		$-3M	+$0.0M

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	Daytona Tortugas	—	144	127	34	8	1	3	14	51	2	8	4	268	350	417	767	150	419	35	10	342	55	—	—	—	—	—	—
2025	19	ROK	ACL Reds	—	207	188	64	8	5	6	15	51	3	19	4	340	398	532	930	191	439	25	7	407	71	—	—	—	—	—	—
2026	20	A+	Dayton Dragons	—	227	212	58	10	1	7	11	68	2	14	5	274	316	429	745	156	370	30	5	328	69	—	—	—	—	—	—
2026	20	A	Daytona Tortugas	—	236	210	51	16	0	4	18	78	4	7	5	243	313	376	689	133	359	33	8	307	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Daytona Tortugas	—	144	130	26	5	1	2	11	69	2	8	4	200	273	300	573	100	382	48	8	250	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Reds	—	207	193	45	6	3	3	10	73	3	19	4	233	282	342	624	109	351	35	5	273	71	—	—	—	—	—	—
2026	20	A+ MLE	Dayton Dragons	—	227	215	51	8	1	5	8	86	2	14	5	237	271	353	625	116	359	38	4	270	69	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	236	216	41	12	0	3	13	106	4	7	5	190	249	287	536	97	339	45	6	237	47	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	351	323	71	11	4	5	21	141	5	27	8	220	278	325	603	105	369	40	6	264	65	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	351	315	98	16	6	9	29	102	5	27	8	311	378	486	864	175	432	29	8	380	65	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	463	431	92	20	1	8	21	192	6	21	10	213	260	320	580	107	357	41	5	253	57	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	463	422	109	26	1	11	29	146	6	21	10	258	314	403	717	145	364	32	6	317	57	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	351	322	71	11	4	5	21	141	5	27	8	220	278	326	604	106	364	40	6	264	65	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	463	433	92	20	1	8	21	192	6	21	10	212	260	319	579	106	349	41	5	253	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	2 teams	—	351	322	71	11	4	5	21	141	5	27	8	220	278	326	604	106	364	40	6	264	65	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	463	433	92	20	1	8	21	192	6	21	10	212	260	319	579	106	349	41	5	253	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CIN	4%	573	533	93	19	2	10	29	209	6	16	6	174	224	273	497	99	259	36	5	225	38	-42	+1	-0	+6	+12	-0.7
▸ 2027 — real world (MLB)
2027	21	MLB CTX	CIN	4%	8	8	1	0	0	0	0	3	0	0	0	176	226	278	504	103	260	38	0	228	38	-1	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CIN	36%	421	391	70	14	1	9	22	150	5	12	5	181	233	295	528	113	262	36	5	237	47	-27	+0	+0	+5	+9	-1.3
2029	23	MLB MLE	CIN	49%	468	435	82	16	2	12	25	163	5	14	5	189	242	317	558	128	265	35	5	250	55	-25	+1	+0	+5	+10	-0.9
2030	24	MLB MLE	CIN	53%	520	480	94	18	2	15	29	177	6	15	6	195	250	335	585	140	268	34	6	261	63	-23	+1	+0	+6	+11	-0.5
2031	25	MLB MLE	CIN	55%	568	524	105	20	2	18	33	189	6	16	6	200	256	348	603	148	270	33	6	268	68	-22	+1	+1	+6	+12	-0.2
2032	26	MLB MLE	CIN	56%	580	534	108	20	2	19	35	190	6	16	7	203	260	356	616	153	271	33	6	274	71	-20	+0	+1	+6	+13	0.0
2033	27	MLB MLE	CIN	55%	580	534	108	20	2	19	35	191	6	16	6	202	259	354	613	151	271	33	6	272	71	-20	+1	+1	+6	+13	-0.0
2034	28	MLB MLE	CIN	55%	571	526	106	20	2	18	34	189	6	13	6	201	257	349	607	149	270	33	6	270	69	-21	+0	-0	+6	+12	-0.3
2028	22	MLB CTX	CIN	36%	152	141	26	5	0	4	8	54	2	4	2	183	235	302	537	119	263	36	5	241	47	-10	+0	+0	+2	+3	-0.5
2029	23	MLB CTX	CIN	49%	230	214	41	8	1	6	12	80	2	7	3	191	244	325	569	134	267	35	5	254	55	-12	+0	+0	+2	+5	-0.5
2030	24	MLB CTX	CIN	53%	276	255	51	9	1	9	16	94	3	8	3	198	252	345	597	147	269	34	6	265	63	-12	+0	+0	+3	+6	-0.3
2031	25	MLB CTX	CIN	55%	312	288	59	11	1	11	18	104	3	9	4	203	258	358	616	156	271	33	6	273	68	-12	+0	+0	+3	+7	-0.1
2032	26	MLB CTX	CIN	56%	323	298	62	11	1	12	19	106	3	9	4	206	263	367	630	161	273	33	6	279	71	-11	+0	+0	+3	+7	0.0
2033	27	MLB CTX	CIN	55%	319	294	60	11	1	11	19	105	3	9	4	205	262	365	626	159	272	33	6	278	71	-11	+0	+0	+3	+7	-0.0
2034	28	MLB CTX	CIN	55%	312	287	59	11	1	11	19	103	3	7	3	203	260	360	620	157	271	33	6	275	69	-12	+0	-0	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1924	1777	358	66	6	64	111	646	19	53	23	201	256	353	609	152	273	34	6	269	62	-80	+1	+1	+21	+42	-1.5
/ 162G	—	A+C		—	650	600	121	22	2	22	38	218	6	18	8	202	256	355	611	153	272	34	6	269	62	-27	+0	+0	+7	+14	-0.5
Career	—	MLE		—	4732	4374	871	166	19	127	265	1659	53	156	61	199	253	333	586	134	285	35	6	261	62	-173	+4	+3	+42	+85	-4.0
/ 162G	—	MLE		—	650	601	120	23	3	17	36	228	7	21	8	200	253	333	586	133	286	35	6	261	62	-29	+1	+0	+7	+14	-0.7

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 ADaytona Tortugas · 236 PAwOBA .303 → .237 (−65)K% 33.1% → 44.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.05%	÷1.000	×1.360	—	—	44.95%
BB% (unintentional) /PA	7.63%	÷1.000	×0.690	—	×1.030	5.42%
HBP% /PA	1.69%	—	×0.780	—	×1.030	1.36%
Singles /BIP	23.48%	÷1.000	×0.920	×1.040	×1.030	23.14%
Doubles /BIP	12.12%	÷1.000	×0.830	×1.040	×1.030	10.77%
Triples /BIP	0.00%	÷1.000	×0.910	×1.040	×1.030	0.00%
Home runs /BIP	3.03%	÷1.000	×0.800	—	×1.030	2.50%

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 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 ×1.040.

Result: wOBA .303 → .237; ISO .133 → .099; BABIP .359 → .339. 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 A+Dayton Dragons · 227 PAwOBA .320 → .270 (−50)K% 30.0% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.96%	÷1.000	×1.270	—	—	38.04%
BB% (unintentional) /PA	4.85%	÷1.000	×0.710	—	×1.042	3.59%
HBP% /PA	0.88%	—	×0.790	—	×1.042	0.73%
Singles /BIP	27.78%	÷1.000	×0.920	×1.050	×1.042	27.96%
Doubles /BIP	6.94%	÷1.000	×0.810	×1.050	×1.042	6.15%
Triples /BIP	0.69%	÷1.000	×0.850	×1.050	×1.042	0.65%
Home runs /BIP	4.86%	÷1.000	×0.800	—	×1.042	4.05%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .320 → .270; ISO .156 → .121; BABIP .370 → .359. 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 Reds · 207 PAwOBA .398 → .273 (−124)K% 24.6% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.64%	÷1.010	×1.440	—	—	35.13%
BB% (unintentional) /PA	7.25%	÷0.931	×0.620	—	×1.008	4.86%
HBP% /PA	1.45%	—	×0.720	—	×1.008	1.05%
Singles /BIP	32.85%	÷1.039	×0.820	×1.050	×1.008	27.43%
Doubles /BIP	5.84%	÷0.963	×0.720	×1.050	×1.008	4.62%
Triples /BIP	3.65%	÷1.150	×0.720	×1.050	×1.008	2.42%
Home runs /BIP	4.38%	÷1.252	×0.780	—	×1.008	2.75%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 108, 2B 93, 3B 130, K 102, BB 86 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .398 → .273; ISO .191 → .115; BABIP .439 → .351. 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 ADaytona Tortugas · 144 PAwOBA .336 → .250 (−86)K% 35.4% → 47.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.42%	÷1.008	×1.360	—	—	47.80%
BB% (unintentional) /PA	9.72%	÷0.956	×0.690	—	×1.045	7.33%
HBP% /PA	1.39%	—	×0.780	—	×1.045	1.13%
Singles /BIP	28.95%	÷0.980	×0.920	×0.987	×1.045	28.05%
Doubles /BIP	10.53%	÷1.088	×0.830	×0.987	×1.045	8.29%
Triples /BIP	1.32%	÷1.000	×0.910	×0.987	×1.045	1.24%
Home runs /BIP	3.95%	÷1.032	×0.800	—	×1.045	3.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 118, 3B 100, K 102, BB 91 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .336 → .250; ISO .150 → .101; BABIP .419 → .382. 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
#1Dylan 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
#2Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#3Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,932	59	53	198	251	342	+21	+1	-0.3	0.1
/162	664	20	18	+7.1	+0.3	-0.1	pk7: 0
#4Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	pk7: -0
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Tyson Lewis (OGILVIE)	21	—	—	—	—	173/223/270	98	259	4	6	36%	5%	38	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Kahlil Watson 2024 · A	21	38→43	45→50	55	40	189/266/313	124	301	13	20	39%	8%	65	-1.2	204/277/348	144	305	16	20	36%	8%	77	-0.3	203/280/353	149	296	17	24	35%	8%	76	-0.3
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	208/268/296	88	312	7	13	34%	7%	60	-1.6	217/259/315	98	317	7	13	32%	5%	61	-1.5	212/252/306	95	305	6	14	31%	5%	53	-1.3
✕Marcus Lee Sang 2022 · A	21	40→50	43→45	51→50	35	197/245/307	110	309	11	14	38%	6%	54	-2.0	208/267/323	115	328	12	14	38%	7%	67	-1.1	224/282/348	124	327	13	15	34%	6%	75	-0.4
✕Brian Pointer 2013 · A	21	39→41	44→45	53→50	37	190/254/308	118	300	11	11	39%	6%	59	-1.7	199/276/317	118	303	11	12	35%	8%	70	-0.9	198/280/320	122	296	12	13	34%	8%	68	-0.7
✕Junior Franco 2024 · A	21	42→43	43→45	50→55	38	208/258/315	107	302	10	17	34%	6%	61	-1.5	220/274/324	104	286	10	19	25%	6%	69	-0.9	227/282/332	105	286	10	21	23%	6%	71	-0.5
✕Travis Witherspoon 2010 · A	21	37→47	42→45	56→55	31	185/227/286	101	289	9	10	39%	4%	42	-2.9	212/258/321	109	300	11	19	32%	5%	62	-1.4	218/269/333	115	295	13	25	29%	6%	66	-0.9
✕Hoy Park 2017 · A	21	41→51	39→45	59→55	46	195/272/287	91	280	4	17	30%	9%	60	-1.6	220/296/307	87	294	6	17	25%	9%	74	-0.6	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Brayan Buelvas 2024 · AA	22	37→45	46→50	55	41	190/252/319	129	260	13	18	32%	7%	61	-1.5	204/265/326	122	293	11	16	32%	7%	66	-1.1	205/266/334	130	290	12	14	32%	7%	66	-0.8
✕D.J. Wilson 2018 · A	21	38	45→50	53→50	40	194/250/327	133	275	12	13	33%	6%	61	-1.5	178/241/273	95	291	8	14	39%	7%	45	-2.7	142/212/207	66	242	6	17	41%	8%	18	-1.7
✕Cody Rogers 2010 · A	21	44→40	43→45	57→50	38	213/261/325	112	315	10	13	34%	6%	63	-1.3	195/257/308	113	271	10	15	31%	6%	59	-1.6	184/247/286	103	256	9	18	30%	6%	49	-1.5
✕Tyler Goeddel 2014 · A	21	44→52	41→45	59→55	40	211/262/313	103	297	7	20	30%	6%	61	-1.5	227/284/341	114	305	9	18	27%	7%	76	-0.4	229/290/345	116	300	9	18	25%	7%	78	-0.2
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/270/314	97	294	8	18	28%	6%	65	-1.2	225/283/314	89	299	5	34	25%	7%	70	-0.9	229/287/320	92	301	5	42	24%	7%	70	-0.7
✕Rudy Martin Jr. 2017 · A	21	44	38→45	58→65	42	203/275/285	82	317	4	20	34%	8%	61	-1.5	196/259/288	92	324	7	29	39%	7%	56	-1.9	220/296/327	107	310	12	41	30%	9%	75	-0.2
✕Ryan Mount 2008 · A	21	43	42→50	51→50	42	212/267/315	102	290	10	13	30%	6%	64	-1.3	228/267/355	127	292	14	10	26%	5%	74	-0.6	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕David Calabrese 2023 · A	20	40→41	40→45	57→50	41	193/255/292	99	294	7	15	35%	7%	55	-2.0	188/260/303	115	277	12	13	34%	8%	60	-1.6	187/246/292	106	241	12	16	27%	7%	49	-1.2
✕Michael Siani 2021 · A	22	43→45	38→45	54→60	41	208/264/286	78	288	6	21	29%	6%	56	-1.9	201/273/302	101	275	9	28	28%	8%	63	-1.3	211/284/306	95	276	9	33	25%	9%	67	-0.8
✕Cameron Cauley 2024 · A	21	41→48	42→50	59→60	38	192/256/294	102	318	9	28	40%	8%	56	-1.9	207/261/343	136	303	14	27	34%	7%	68	-1.0	212/268/359	147	288	15	31	31%	7%	73	-0.5
✕Miguel Hiraldo 2023 · A	22	41→46	43→45	56→55	38	200/251/308	108	302	10	21	36%	6%	57	-1.8	216/263/319	103	337	10	20	37%	5%	63	-1.3	221/269/319	98	346	9	22	37%	5%	63	-0.7
✕Luis Alexander Basabe 2018 · A	21	41→45	41→45	54→50	39	200/255/302	102	297	8	15	34%	6%	57	-1.8	205/269/312	107	318	9	14	36%	8%	65	-1.2	199/269/311	112	312	11	14	37%	8%	62	-0.8

Tyson Lewis

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps