Alex Lodise — OGILVIE

Alex LodiseSS Augusta GreenJackets

Age 22 R/R 6'0" / 190 lbs A Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION616 act + 9 ros · stats below = ROS only

showingROS

wRC+†81

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

PA9

HR0

K%33

BB%5

BABIP284

ISO151

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$19M ctrl surplus

Tools · ContractCON 39 / POW 51

Toolsscout grade

CONTACT39

scouting grade only

POWER51

scouting grade only

EYE35

scouting grade only

SPEED51

scouting grade only

DEFENSE55

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	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2031	Arb-1	$5M	+1.0	$5M	+$3M
2032	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2033	Arb-3	$9M	+0.8	$2M	+$0.0M (cut)
Totals		$7M		$20M	+$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. 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	21	A+	Rome Emperors	—	109	103	26	10	1	1	5	42	1	2	1	252	294	398	692	146	417	39	5	307	94	-1	+0	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Rome Emperors	—	109	105	16	5	1	1	3	57	1	2	1	152	183	248	431	95	328	52	3	187	13	-11	+0	—	—	+2	-0.9
2025	21	A+ MLE	Rome Emperors	—	109	105	16	5	1	1	3	57	1	2	1	152	183	248	431	95	319	52	3	187	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	—	—	—	—	—	—
2025	21	A+ MLE	Rome Emperors	—	109	104	16	5	1	1	3	57	1	2	1	154	183	250	433	96	328	52	3	187	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A+ MLE	Rome Emperors	—	109	104	16	5	1	1	3	57	1	2	1	154	183	250	433	96	328	52	3	187	13	—	—	—	—	—	—
YTD	22	A MLE	ATL	—	616	555	122	19	2	23	35	193	18	17	6	220	288	386	673	166	285	31	6	291	83	-12	+1	+0	+7	+13	0.9
▸ 2026 season
YTD	22	A RAW	ATL	—	435	375	96	16	3	21	42	113	11	15	5	256	347	483	830	227	304	26	10	361	83	—	—	—	—	—	—
YTD	22	A+ RAW	ATL	—	83	70	24	4	0	4	7	6	5	0	1	343	439	571	1.010	229	328	7	8	440	83	—	—	—	—	—	—
YTD	22	AA RAW	ATL	—	98	88	26	5	0	3	7	20	2	2	0	295	361	455	815	159	348	20	7	360	83	—	—	—	—	—	—
ROS	22	A MLE	ATL	0%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		284	33	0	288	81	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	ATL	—	625	564	123	19	2	23	35	196	18	17	6	218	285	381	666	163	283	31	6	291	83	-12	+1	+0	+7	+14	0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	ATL	34%	342	312	68	12	1	12	20	107	7	6	2	218	280	378	658	160	285	31	6	294	85	-6	+0	+1	+4	+7	0.7
2028	24	MLB MLE	ATL	46%	414	377	84	15	2	15	26	126	8	8	3	223	287	393	680	170	287	30	6	299	89	-6	+0	+2	+4	+9	1.0
2029	25	MLB MLE	ATL	52%	627	570	128	22	3	23	40	188	12	12	4	225	289	395	684	170	287	30	6	302	91	-7	+1	+3	+7	+14	1.7
2030	26	MLB MLE	ATL	54%	638	579	130	23	3	23	41	190	13	12	4	225	291	394	684	169	287	30	6	303	92	-6	+1	+3	+7	+14	1.8
2031	27	MLB MLE	ATL	54%	637	577	130	23	3	23	42	190	13	12	4	225	293	395	688	170	287	30	7	304	92	-6	+1	+3	+7	+14	1.8
2032	28	MLB MLE	ATL	54%	629	570	128	22	3	23	42	188	12	12	4	225	292	395	686	170	287	30	7	303	91	-7	+1	+2	+7	+14	1.7
2033	29	MLB MLE	ATL	53%	619	560	124	22	2	22	42	187	12	11	4	221	290	386	676	164	286	30	7	301	90	-7	+1	+1	+7	+13	1.5
2034	30	MLB MLE	ATL	52%	440	398	87	15	2	15	30	134	9	8	3	219	288	379	668	161	285	30	7	298	88	-6	+0	-0	+5	+10	0.8
2035	31	MLB MLE	ATL	52%	426	386	84	14	2	15	29	131	8	7	2	218	286	381	667	163	283	31	7	295	86	-7	+1	-1	+5	+9	0.6
2036	32	MLB MLE	ATL	56%	408	370	78	13	1	14	27	127	8	7	2	211	279	365	644	154	280	31	7	289	82	-9	+1	-2	+4	+9	0.3
2037	33	MLB MLE	ATL	59%	378	343	71	12	1	12	25	119	7	6	2	207	275	353	627	146	276	31	7	283	77	-10	+0	-3	+4	+8	-0.0
2027	23	MLB CTX	ATL	34%	118	108	23	4	0	4	7	37	2	2	1	213	274	361	635	148	285	31	6	279	85	-2	+0	+0	+1	+3	0.2
2028	24	MLB CTX	ATL	46%	191	173	39	7	1	7	12	58	4	4	1	225	291	399	690	173	287	30	6	285	89	-3	+0	+1	+2	+4	0.5
2029	25	MLB CTX	ATL	52%	324	294	65	11	1	12	21	97	6	6	2	221	287	388	674	167	287	30	6	287	91	-4	+0	+1	+3	+7	0.9
2030	26	MLB CTX	ATL	54%	346	314	70	12	1	13	22	103	7	7	2	223	289	392	680	169	287	30	6	289	92	-3	+1	+1	+4	+7	1.0
2031	27	MLB CTX	ATL	54%	346	313	70	12	1	13	23	103	7	7	2	224	292	393	685	169	287	30	7	289	92	-3	+1	+1	+4	+7	1.0
2032	28	MLB CTX	ATL	54%	341	308	68	12	1	12	23	102	7	7	2	221	290	383	673	162	287	30	7	288	91	-4	+1	+1	+4	+7	0.9
2033	29	MLB CTX	ATL	53%	329	298	65	11	1	12	22	99	6	6	2	218	285	383	668	164	286	30	7	287	90	-4	+0	+1	+4	+7	0.8
2034	30	MLB CTX	ATL	52%	231	209	46	8	1	8	16	70	4	4	1	220	288	383	671	163	285	30	7	284	88	-3	+0	-0	+2	+5	0.5
2035	31	MLB CTX	ATL	52%	222	201	45	8	1	8	15	68	4	4	1	224	291	393	684	169	283	31	7	280	86	-4	+0	-1	+2	+5	0.3
2036	32	MLB CTX	ATL	56%	229	208	45	8	1	8	15	71	4	4	1	216	282	380	662	163	280	31	7	275	82	-5	+0	-1	+2	+5	0.2
2037	33	MLB CTX	ATL	59%	223	202	42	7	1	7	15	70	4	3	1	208	276	356	632	149	276	31	7	269	77	-6	+0	-2	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2900	2628	578	100	10	104	191	878	55	54	16	220	287	384	671	164	285	30	7	284	87	-41	+4	+4	+31	+63	6.2
/ 162G	—	A+C		—	650	589	129	22	2	23	43	197	12	12	4	219	286	380	666	161	284	30	7	284	87	-9	+1	+1	+7	+14	1.4
Career	—	MLE		—	5676	5156	1129	198	24	198	367	1747	110	103	35	219	285	382	667	163	288	31	6	296	87	-78	+7	+8	+60	+121	11.9
/ 162G	—	MLE		—	650	590	130	23	3	23	42	200	13	12	4	220	287	386	673	166	289	31	6	296	87	-9	+1	+1	+7	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#4Bobby 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
#5Danny 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 7 projected seasons	4.7	3,091	109	56	220	283	384	+33	+15	7.4	6.7
/162	664	23	12	+7.1	+3.2	1.6	pk7: 6
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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)	22	29→39	43→51	53→51	35	210/274/367	157	284	7	5	32%	6%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yu Chang 2018 · AA	22	36→44	49→50	49→45	39	193/251/345	152	262	17	9	33%	6%	66	-1.1	207/266/332	125	289	12	7	31%	7%	68	-1.0	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Michael Chavis 2018 · AA	22	39→46	52→60	47→45	36	212/258/379	167	276	21	4	32%	5%	77	-0.3	233/288/411	178	311	23	6	32%	6%	95	+1.0	234/295/414	180	315	25	5	33%	7%	95	+0.4
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	206/273/355	148	290	15	9	33%	6%	76	-0.4	200/267/343	143	290	16	9	35%	6%	72	-0.7	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Freuddy Batista 2022 · A	22	38	51→50	46→40	41	204/266/362	158	277	19	7	33%	7%	76	-0.4	205/266/337	132	302	13	6	35%	6%	70	-0.8	206/257/336	130	270	16	4	30%	4%	63	-0.6
✕Rodolfo Castro 2021 · A	22	37→41	48→55	46→50	35	195/236/334	139	275	15	6	35%	5%	57	-1.8	212/267/368	156	279	19	8	31%	6%	78	-0.3	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Ezequiel Duran 2022 · A	23	40→50	51→55	50	37	206/265/364	158	302	19	14	37%	6%	76	-0.4	240/284/393	153	314	17	13	28%	5%	89	+0.5	249/290/398	149	316	16	12	26%	5%	89	+0.4
✕Sean Coyle 2014 · A	22	36	49→50	54→50	37	192/251/336	144	277	17	14	36%	6%	64	-1.3	200/259/334	134	299	16	13	36%	7%	67	-1.1	181/245/299	117	275	13	12	37%	7%	50	-1.3
✕Sam Huff 2020 · A	22	37→40	48→55	44→45	30	191/233/328	136	303	17	6	42%	4%	55	-1.9	212/260/373	161	331	22	4	41%	5%	76	-0.4	214/277/388	174	309	26	1	38%	7%	83	+0.0
✕Johan Mieses 2017 · A	22	36→33	52→55	44→50	35	198/245/367	169	270	20	8	35%	5%	69	-0.9	184/234/333	149	254	20	4	35%	5%	57	-1.8	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Eric Haase 2015 · A	22	38→42	48→60	42→40	37	197/247/340	144	288	16	3	37%	6%	63	-1.3	192/249/351	159	292	17	4	39%	6%	67	-1.1	217/276/424	207	286	30	2	35%	7%	91	+0.5
✕Jeremiah Jackson 2023 · AA	23	37→47	48→55	48→55	42	197/259/341	144	266	16	12	32%	7%	68	-1.0	215/261/367	152	281	19	15	30%	5%	75	-0.5	224/265/381	157	284	20	15	28%	5%	77	-0.3
✕Max Stassi 2013 · A	22	42→43	48→55	44→40	40	214/273/349	135	292	16	5	32%	6%	75	-0.5	216/262/352	136	287	16	3	30%	5%	72	-0.7	215/301/376	160	280	21	0	29%	10%	91	+0.3
✕Jorge Alfaro 2015 · AA	22	42→52	47→50	48→50	34	211/263/345	134	304	14	8	34%	4%	70	-0.8	221/264/343	122	321	12	5	34%	4%	70	-0.9	260/316/413	153	381	20	6	35%	5%	101	+0.7
✕Ryan Bliss 2022 · A	22	43→49	47→45	51→60	39	215/265/348	133	294	15	16	31%	6%	72	-0.7	207/268/330	123	280	12	32	29%	7%	69	-0.9	221/289/349	127	292	11	41	26%	7%	78	-0.2
✕Josh Phegley 2010 · A	22	39→47	48→55	45→40	39	205/248/343	138	248	17	5	26%	4%	64	-1.3	219/257/327	108	276	11	3	24%	4%	63	-1.3	233/282/414	181	263	20	0	20%	5%	92	+0.4
✕Lucas May 2007 · A	22	40→43	46→55	53→45	34	206/246/340	133	288	14	8	33%	4%	62	-1.4	211/257/357	146	274	17	6	29%	5%	71	-0.8	214/273/345	131	281	14	4	28%	6%	72	-0.4
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
●Trayce Thompson 2013 · AAA	22	36→46	51→60	51→50	36	191/247/353	161	284	19	10	39%	6%	66	-1.1	199/258/334	135	277	14	15	32%	7%	66	-1.1	206/295/413	207	291	28	7	37%	10%	97	+0.6
✕Travis Demeritte 2017 · A	22	38→44	49→55	53→50	36	183/252/332	149	324	16	11	46%	8%	63	-1.3	196/259/344	148	291	16	7	36%	7%	69	-0.9	205/271/367	162	301	19	9	36%	8%	76	-0.3

Career Stats + Projections

Career Comps

Career Path Comps