Alex Lodise

SS Augusta GreenJackets

Age 23 R/R 6'0" / 190 lbs A Svc 0.0 · Ctrl thru 2033

Overview

APROSPECTMiLBFA 2034

OGV OFP40OGV rank#311ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+ATL	109	.252/.294/.398	1	2	13	—	.162/.193/.267
2026	22	AA/A+/AATL	620	.272/.359/.486	28	17	82	—	.219/.291/.382
2027PROJMLE	23	MLBATL	579	.216/.277/.370	19	10	81	0.5
2028PROJ38% MLB	24	MLBATL	168	.219/.281/.376	6	3	84	0.3
2029PROJ55% MLB	25	MLBATL	266	.221/.284/.380	9	5	86	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$3M2032Arb-2$5M2033Arb-3$6M

Skills · percentileMiLB Statcast 2026 AA

K%72

wRC+63

wOBA59

ISO53

Whiff%53

Speed39

Career WAR0.0 WAR median (P10 -0.3 / P90 9.7, comp-based) · star 3% · didn't stick 86%

CompsJeremiah Jackson (age 23) · Yu Chang (age 22) · Joey Bart (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†81

AVG/OBP/SLG.214 / .275 / .367

PA210

HR7

K%30

BB%6

ISO154

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$13M 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	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Arb-1	$3M	+0.8	$2M	+$0.3M
2032	Arb-2	$5M	+0.7	$2M	+$0.0M (cut)
2033	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$11M	+$4M

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	21	A+	Rome Emperors	—	109	103	26	10	1	1	5	42	1	2	1	252	294	398	692	146	417	39	5	307	13	—	—	—	—	—	—
2026	22	AA	Columbus Clingstones	—	102	92	26	5	0	3	7	21	2	2	0	283	347	435	781	152	333	21	7	346	92	—	—	—	—	—	—
2026	22	A+	Rome Emperors	—	83	70	24	4	0	4	7	6	5	0	1	343	439	571	1.010	229	328	7	8	440	137	—	—	—	—	—	—
2026	22	A	Augusta GreenJackets	—	435	375	96	16	3	21	42	113	11	15	5	256	347	483	830	227	304	26	10	361	69	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Rome Emperors	—	109	105	17	6	1	1	3	56	1	2	1	162	193	267	459	105	319	51	3	188	13	—	—	—	—	—	—
2026	22	AA MLE	Columbus Clingstones	—	102	94	24	5	0	2	5	26	2	2	0	255	307	372	679	117	323	25	5	304	92	—	—	—	—	—	—
2026	22	A+ MLE	Rome Emperors	—	83	73	22	3	0	4	4	8	5	0	1	301	378	507	885	205	279	10	5	370	137	—	—	—	—	—	—
2026	22	A MLE	Augusta GreenJackets	—	435	389	76	12	2	16	29	154	11	15	5	195	270	360	630	165	255	35	7	270	69	—	—	—	—	—	—
2025	21	A+ MLE	Rome Emperors	—	109	105	17	6	1	1	3	56	1	2	1	162	193	267	459	105	333	51	3	188	13	—	—	—	—	—	—
2025	21	A+ RAW	Rome Emperors	—	109	103	26	10	1	1	5	42	1	2	1	252	294	398	692	146	417	39	5	307	13	—	—	—	—	—	—
2026	22	A MLE	3 teams	—	620	556	122	20	2	22	38	187	18	17	6	219	291	381	672	162	282	30	6	289	82	—	—	—	—	—	—
2026	22	A RAW	3 teams	—	620	537	146	25	3	28	56	140	18	17	6	272	359	486	846	214	313	23	9	369	82	—	—	—	—	—	—
2025	21	A+ MLE	Rome Emperors	—	109	104	17	6	1	1	3	56	1	2	1	163	193	269	462	106	319	51	3	188	13	—	—	—	—	—	—
2026	22	A MLE	3 teams	—	620	559	122	20	2	22	38	187	18	17	6	218	291	379	670	161	269	30	6	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A+ MLE	Rome Emperors	—	109	104	17	6	1	1	3	56	1	2	1	163	193	269	462	106	319	51	3	188	13	—	—	—	—	—	—
2026	22	A MLE	3 teams	—	620	559	122	20	2	22	38	187	18	17	6	218	291	379	670	161	269	30	6	289	82	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	ATL	0%	579	529	114	21	2	19	33	173	12	10	3	216	277	370	647	154	279	30	6	288	81	-13	+1	+2	+6	+13	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	ATL	38%	446	407	89	16	2	15	27	130	9	8	3	219	281	376	658	157	280	29	6	292	84	-8	+0	+2	+5	+10	0.9
2029	25	MLB MLE	ATL	55%	480	438	97	18	2	16	30	138	9	9	3	221	284	380	664	159	281	29	6	295	86	-8	+1	+3	+5	+10	1.1
2030	26	MLB MLE	ATL	64%	500	455	101	18	2	17	32	142	9	9	3	222	286	381	667	159	281	28	6	296	87	-8	+1	+3	+5	+11	1.2
2031	27	MLB MLE	ATL	66%	506	459	103	19	2	17	33	143	9	9	3	222	287	380	667	158	281	28	7	297	87	-8	+1	+3	+5	+11	1.2
2032	28	MLB MLE	ATL	67%	505	458	102	19	2	16	33	143	9	8	3	221	287	377	664	155	281	28	7	295	86	-8	+0	+2	+5	+11	1.1
2033	29	MLB MLE	ATL	66%	496	452	98	18	2	15	32	141	9	8	3	219	284	371	655	152	280	28	6	292	84	-10	+0	+1	+5	+11	0.8
2034	30	MLB MLE	ATL	65%	486	444	97	18	2	15	31	140	8	7	4	216	281	364	644	147	278	29	6	288	81	-11	-0	+0	+5	+11	0.5
2035	31	MLB MLE	ATL	65%	470	429	92	17	2	14	30	137	8	5	5	213	276	355	630	142	275	29	6	282	77	-13	-1	-0	+5	+10	0.1
2028	24	MLB CTX	ATL	38%	168	153	34	6	1	6	10	49	3	3	1	219	281	376	658	157	280	29	6	292	84	-3	+0	+1	+2	+4	0.3
2029	25	MLB CTX	ATL	55%	266	243	54	10	1	9	16	77	5	5	2	221	284	380	664	159	281	29	6	295	86	-4	+0	+1	+3	+6	0.6
2030	26	MLB CTX	ATL	64%	318	289	65	12	1	11	20	91	6	6	2	222	286	381	667	159	281	29	6	296	87	-5	+0	+2	+3	+7	0.8
2031	27	MLB CTX	ATL	66%	332	302	66	12	1	11	21	94	6	6	2	222	287	380	667	158	281	28	6	297	87	-5	+0	+2	+4	+7	0.8
2032	28	MLB CTX	ATL	67%	337	306	67	12	1	11	22	95	6	6	2	221	287	377	664	155	281	28	7	295	86	-6	+0	+1	+4	+7	0.7
2033	29	MLB CTX	ATL	66%	326	296	65	12	1	10	21	93	6	5	2	219	284	371	655	152	280	29	6	292	84	-6	+0	+1	+3	+7	0.5
2034	30	MLB CTX	ATL	65%	317	289	62	11	1	10	20	91	5	4	2	216	281	364	644	147	278	29	6	288	81	-7	+0	+0	+3	+7	0.3
2035	31	MLB CTX	ATL	65%	304	277	59	11	1	9	19	89	5	3	3	213	276	355	630	142	275	29	6	282	77	-8	-1	-0	+3	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2368	2155	472	86	8	77	149	679	42	38	16	219	283	374	656	155	280	29	6	292	82	-45	+1	+8	+25	+51	4.1
/ 162G	—	A+C		—	650	592	130	24	2	21	41	186	12	10	4	220	284	373	657	154	280	29	6	292	82	-12	+0	+2	+7	+14	1.1
Career	—	MLE		—	4828	4395	959	176	20	155	301	1420	93	86	35	218	283	373	656	155	282	29	6	289	82	-79	+2	+14	+44	+89	7.2
/ 162G	—	MLE		—	650	592	130	24	3	21	41	191	13	12	5	220	286	377	662	157	284	29	6	289	82	-13	+0	+2	+7	+14	1.1

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 AAugusta GreenJackets · 435 PAwOBA .356 → .270 (−86)K% 26.0% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.98%	÷1.000	×1.360	—	—	35.33%
BB% (unintentional) /PA	9.66%	÷1.000	×0.690	—	—	6.66%
HBP% /PA	2.53%	—	×0.780	—	—	1.97%
Singles /BIP	21.37%	÷1.000	×0.920	×0.950	—	18.68%
Doubles /BIP	6.11%	÷1.000	×0.830	×0.950	—	4.82%
Triples /BIP	1.15%	÷1.000	×0.910	×0.950	—	0.99%
Home runs /BIP	8.02%	÷1.000	×0.800	—	—	6.41%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .356 → .270; ISO .227 → .169; BABIP .304 → .255. 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 AAColumbus Clingstones · 102 PAwOBA .340 → .304 (−36)K% 20.6% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷1.000	×1.220	—	—	25.12%
BB% (unintentional) /PA	6.86%	÷1.000	×0.680	—	×1.042	4.86%
HBP% /PA	1.96%	—	×0.840	—	×1.042	1.72%
Singles /BIP	25.35%	÷1.000	×0.920	×1.021	×1.042	24.81%
Doubles /BIP	7.04%	÷1.000	×0.910	×1.021	×1.042	6.82%
Triples /BIP	0.00%	÷1.000	×0.880	×1.021	×1.042	0.00%
Home runs /BIP	4.23%	÷1.000	×0.800	—	×1.042	3.52%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .340 → .304; ISO .152 → .132; BABIP .333 → .323. 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+Rome Emperors · 83 PAwOBA .430 → .370 (−60)K% 7.2% → 9.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.23%	÷1.000	×1.310	—	—	9.47%
BB% (unintentional) /PA	7.23%	÷1.000	×0.600	—	×1.012	4.39%
HBP% /PA	6.02%	—	×0.770	—	×1.012	4.69%
Singles /BIP	25.00%	÷1.000	×0.870	×0.993	×1.012	21.86%
Doubles /BIP	6.25%	÷1.000	×0.780	×0.993	×1.012	4.90%
Triples /BIP	0.00%	÷1.000	×0.850	×0.993	×1.012	0.00%
Home runs /BIP	6.25%	÷1.000	×0.880	—	×1.012	5.57%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .430 → .370; ISO .229 → .209; BABIP .328 → .279. 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 A+Rome Emperors · 109 PAwOBA .298 → .188 (−110)K% 38.5% → 51.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.53%	÷0.983	×1.310	—	—	51.35%
BB% (unintentional) /PA	4.59%	÷1.020	×0.600	—	×1.027	2.77%
HBP% /PA	0.92%	—	×0.770	—	×1.027	0.73%
Singles /BIP	22.95%	÷1.098	×0.870	×1.005	×1.027	18.76%
Doubles /BIP	16.39%	÷1.173	×0.780	×1.005	×1.027	11.25%
Triples /BIP	1.64%	÷1.075	×0.850	×1.005	×1.027	1.34%
Home runs /BIP	1.64%	÷0.819	×0.880	—	×1.027	1.81%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 64, 1B 120, 2B 135, 3B 115, K 97, BB 104 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .298 → .188; ISO .146 → .092; BABIP .417 → .319. 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
#1Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#2Bobby 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
#3Danny 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
#4Alex 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
#5Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,579	82	42	220	281	374	+28	+13	4.9	4.6
/162	664	21	11	+7.1	+3.3	1.3	pk7: 4
#6Frank 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

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
Alex Lodise (OGILVIE)	23	—	—	—	—	214/275/367	153	279	7	4	30%	6%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeremiah Jackson 2023 · AA	23	38→48	49→55	48→55	42	201/265/351	150	272	17	12	32%	7%	73	-0.6	221/268/376	155	290	20	15	30%	6%	80	-0.2	231/272/390	159	293	20	15	28%	5%	82	+0.0
✕Yu Chang 2018 · AA	22	38→47	50	49→45	40	199/259/356	156	271	17	9	33%	6%	72	-0.7	217/277/354	137	301	14	7	31%	7%	78	-0.3	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Joey Bart 2020 · AA	23	43	53→55	45→40	38	228/270/395	166	287	21	7	29%	5%	84	+0.2	235/289/374	139	337	16	5	33%	6%	86	+0.3	251/343/392	142	332	17	1	27%	10%	112	+1.0
✕Rodolfo Castro 2022 · MLB	23	40→42	53→55	45→50	38	214/259/380	167	275	21	8	31%	5%	77	-0.3	216/280/365	149	288	18	8	30%	7%	82	-0.0	206/276/351	145	270	17	11	30%	7%	76	-0.3
✕Jesús Bastidas 2023 · AA	24	42	49→50	45→50	41	213/282/354	140	287	17	12	31%	7%	80	-0.1	210/279/347	137	276	16	12	29%	6%	77	-0.3	202/274/337	135	264	15	13	29%	6%	70	-0.8
✕Jake Rogers 2019 · AA	24	38→40	47→60	48→45	42	198/263/331	133	270	14	9	32%	7%	68	-1.0	210/285/377	167	290	20	5	33%	8%	86	+0.3	210/288/419	208	272	29	1	33%	8%	97	+0.6
✕Jeter Downs 2021 · AA	23	43→41	51→50	52→55	45	223/290/390	167	279	19	17	27%	8%	91	+0.7	180/256/301	121	262	15	21	35%	8%	59	-1.7	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Sicnarf Loopstok 2016 · A	23	41→36	49→50	53→50	39	208/269/355	147	289	16	9	33%	6%	75	-0.5	208/272/340	132	295	14	10	33%	6%	73	-0.6	202/272/344	143	283	16	9	33%	6%	74	-0.3
✕Tucker Mitchell 2024 · A	23	43	47→50	50→45	40	210/286/337	127	310	15	9	35%	7%	78	-0.3	198/250/292	94	278	10	7	31%	5%	53	-2.1	162/205/229	67	228	8	5	32%	4%	18	-1.7
✕Damiano Palmegiani 2023 · A	23	37→42	53→50	50→40	44	205/281/376	172	252	22	5	29%	7%	85	+0.2	198/279/345	147	276	17	5	33%	8%	78	-0.3	183/271/316	133	262	16	3	34%	8%	66	-0.8
✕Jose Ramos 2024 · AA	23	42→44	49→50	47→45	41	212/281/356	144	311	18	6	36%	8%	80	-0.1	202/268/336	134	315	17	7	39%	8%	70	-0.8	194/263/327	133	302	17	7	39%	8%	64	-1.0
✕Pablo Aliendo 2024 · AA	23	42	46→50	49→45	39	210/276/342	132	302	14	6	34%	6%	75	-0.5	196/262/340	144	304	17	5	39%	6%	70	-0.9	171/240/309	138	271	18	1	42%	5%	52	-1.0
✕Lucas May 2009 · AA	24	38→43	50→55	46→45	38	204/250/356	151	263	18	6	30%	5%	68	-1.0	219/273/355	136	288	15	6	28%	6%	76	-0.4	215/274/348	133	283	14	4	28%	6%	73	-0.3
✕Tyler Marlette 2017 · AA	24	45→43	48→50	45	40	228/271/371	143	292	16	6	28%	5%	79	-0.2	218/267/341	123	287	13	5	28%	6%	70	-0.8	210/262/326	116	274	13	3	27%	6%	62	-1.1
✕Bryan Ramos 2024 · AA	22	42	50	44→50	43	221/284/370	149	272	19	5	27%	7%	84	+0.2	204/271/322	118	262	13	10	27%	7%	69	-0.9	190/263/293	103	246	11	12	27%	7%	56	-1.3
✕John Mayberry Jr. 2008 · AA	24	36→46	53→55	51→50	42	203/262/373	171	251	22	10	30%	6%	77	-0.3	215/265/375	160	270	19	11	27%	5%	78	-0.3	240/295/408	167	283	19	7	22%	7%	98	+0.8
✕Luca Tresh 2023 · AA	23	43→42	49→50	44→40	44	221/284/364	144	295	18	5	31%	8%	83	+0.1	207/267/344	137	264	16	4	27%	7%	72	-0.7	208/257/339	131	282	15	2	31%	5%	64	-0.8
✕Tyler Kolodny 2011 · A	23	40→37	49→45	51→50	40	207/277/361	153	275	17	9	30%	6%	80	-0.2	209/284/321	112	285	10	10	29%	6%	74	-0.6	205/290/288	83	271	7	10	25%	6%	66	-0.5
✕Brennen Davis 2023 · AAA	23	41→43	47→50	43→45	42	204/289/341	137	303	15	7	36%	8%	80	-0.1	191/280/318	127	261	15	9	32%	7%	72	-0.7	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Michael Chavis 2019 · AAA	23	44→46	53→60	48→45	38	231/282/403	172	302	21	5	31%	5%	91	+0.7	236/291/417	181	317	24	6	32%	6%	97	+1.1	229/284/411	182	303	26	5	33%	6%	94	+0.5

Alex Lodise

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps