AJ Soldra — OGILVIE

AJ SoldraLF Ontario Tower Buzzers

Age 22 L/L 6'0" / 170 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION192 act + 28 ros · stats below = ROS only

showingROS

wRC+†78

AVG/OBP/SLG.240 / .321 / .400

PA28

HR0

K%36

BB%7

BABIP313

ISO160

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
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. 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A MLE	LAD	—	192	176	41	7	3	6	8	83	6	3	4	233	289	409	699	176	398	43	4	292	84	-4	-1	+0	-2	+4	-0.3
▸ 2026 season
YTD	22	A RAW	LAD	—	192	171	51	9	4	7	13	62	6	3	4	298	368	520	889	222	427	32	7	386	84	—	—	—	—	—	—
ROS	22	A MLE	LAD	0%	28	25	6	1	0	1	2	10	1	1	0	240	321	400	721	160	319	36	7	283	78	-1	+0	+0	-0	+1	-0.0
TOT	22	A MLE	LAD	—	220	201	47	8	3	7	10	93	7	4	4	234	294	408	702	174	392	42	5	291	83	-4	-1	+0	-2	+5	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAD	34%	397	363	80	14	4	10	24	134	7	9	4	220	282	364	645	143	314	34	6	286	80	-10	+0	+0	-4	+9	-0.5
2028	24	MLB MLE	LAD	46%	485	444	99	17	5	13	30	160	8	12	5	223	284	372	656	149	313	33	6	291	83	-10	+0	+0	-5	+11	-0.4
2029	25	MLB MLE	LAD	52%	529	482	108	19	5	14	34	171	8	13	6	224	286	371	658	147	312	32	6	294	85	-10	+0	+0	-6	+11	-0.4
2030	26	MLB MLE	LAD	54%	571	520	117	20	5	16	37	183	9	14	6	225	288	375	663	150	311	32	6	295	86	-10	+0	+0	-6	+12	-0.3
2031	27	MLB MLE	LAD	54%	598	544	122	21	5	17	39	192	10	15	7	224	288	375	663	151	311	32	7	295	86	-10	+0	+0	-6	+13	-0.3
2032	28	MLB MLE	LAD	54%	606	551	123	21	5	17	40	196	10	15	7	223	288	372	660	149	311	32	7	294	85	-11	+0	-1	-6	+13	-0.5
2033	29	MLB MLE	LAD	53%	605	550	122	21	5	16	40	196	10	15	7	222	287	365	652	144	310	32	7	292	84	-12	+0	-1	-6	+13	-0.6
2034	30	MLB MLE	LAD	52%	599	545	121	21	5	16	40	196	9	14	7	222	286	367	653	145	308	33	7	289	82	-13	+0	-2	-6	+13	-0.9
2027	23	MLB CTX	LAD	34%	136	125	28	5	1	4	8	46	2	3	1	224	281	376	657	152	308	34	6	272	80	-3	+0	+0	-1	+3	-0.2
2028	24	MLB CTX	LAD	46%	224	204	45	8	2	6	14	74	4	5	2	221	284	368	651	147	308	33	6	277	83	-5	+0	+0	-2	+5	-0.2
2029	25	MLB CTX	LAD	52%	273	250	55	9	2	8	17	88	4	7	3	220	280	368	648	148	307	32	6	280	85	-5	+0	+0	-3	+6	-0.2
2030	26	MLB CTX	LAD	54%	310	282	63	11	2	9	20	99	5	8	4	223	287	372	659	149	306	32	6	281	86	-5	+0	+0	-3	+7	-0.2
2031	27	MLB CTX	LAD	54%	324	295	65	11	2	9	21	104	5	8	4	220	283	363	646	142	306	32	6	281	86	-5	+0	+0	-3	+7	-0.2
2032	28	MLB CTX	LAD	54%	329	299	65	11	2	9	22	106	5	8	4	217	282	358	640	140	305	32	7	280	85	-6	+0	-0	-4	+7	-0.3
2033	29	MLB CTX	LAD	53%	321	292	64	11	2	9	21	104	5	8	4	219	283	363	646	144	304	32	7	279	84	-6	+0	-1	-3	+7	-0.4
2034	30	MLB CTX	LAD	52%	314	285	63	11	2	9	21	103	5	7	3	221	286	368	655	147	303	33	7	276	82	-7	+0	-1	-3	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2231	2032	448	77	15	63	144	724	35	54	25	220	284	366	650	146	306	32	6	279	84	-42	+1	-2	-24	+48	-2.0
/ 162G	—	A+C		—	650	592	129	22	4	18	42	211	10	16	7	218	281	360	641	142	302	32	6	279	84	-12	+0	-1	-7	+14	-0.6
Career	—	MLE		—	4418	4024	898	155	39	120	286	1438	72	108	49	223	287	371	657	147	313	33	6	292	84	-85	+2	-4	-47	+96	-3.9
/ 162G	—	MLE		—	650	592	133	23	6	18	42	212	11	16	7	225	288	375	663	150	315	33	6	292	84	-12	+0	-1	-7	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.8	2,551	67	61	223	282	368	-17	+0	0.3	0.5
/162	664	18	16	-4.4	+0.0	0.1	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
AJ Soldra (OGILVIE)	22	—	—	—	—	215/274/356	141	319	8	6	35%	6%	78	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Travis Blankenhorn 2019 · A	22	39→44	44→50	50	37	196/257/321	125	288	11	7	34%	6%	63	-1.4	214/263/348	134	294	15	9	31%	5%	71	-0.8	205/278/354	149	273	18	6	31%	8%	75	-0.3
✕Parker Meadows 2022 · A	22	36→46	42→55	43→55	40	183/242/280	97	259	10	9	32%	6%	47	-2.5	216/279/367	151	277	16	17	27%	8%	81	-0.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	194/277/307	113	282	11	9	33%	9%	68	-1.0	224/272/334	110	313	11	8	30%	6%	70	-0.8	234/286/330	96	304	9	3	25%	6%	72	-0.3
✕Alex Glenn 2013 · A	22	40→42	48→55	53→50	39	199/266/342	142	302	15	10	38%	7%	71	-0.8	213/268/362	149	284	15	11	29%	6%	76	-0.4	211/262/367	156	270	16	12	28%	6%	72	-0.5
✕Nicky Delmonico 2014 · A	22	39→47	48→50	48→45	46	203/280/344	141	266	16	8	30%	9%	77	-0.3	216/272/353	137	293	13	6	29%	7%	76	-0.4	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Argenis Aldazoro 2015 · A	22	41	47→55	53→50	36	214/242/350	136	270	15	9	27%	4%	63	-1.4	206/245/291	85	283	6	8	28%	5%	50	-2.3	204/239/264	60	290	0	6	28%	4%	38	-0.8
✕Luis Liberato 2018 · A	22	42→49	44→50	50	39	206/256/333	126	303	10	7	34%	6%	64	-1.3	217/264/351	134	286	15	7	28%	6%	72	-0.7	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Sam Hilliard 2016 · A	22	46→47	44→55	54→55	45	221/283/350	129	308	10	11	30%	8%	78	-0.3	210/262/317	107	334	10	18	38%	6%	63	-1.4	203/279/378	175	281	20	18	34%	9%	82	+0.0
✕Conner Capel 2019 · A	22	42→45	44→45	47→55	43	209/267/331	122	277	11	11	28%	7%	68	-1.0	212/262/326	114	280	12	10	27%	6%	65	-1.2	213/285/332	119	269	12	19	24%	8%	72	-0.5
✕Addison Barger 2022 · A	22	40→45	50→55	52→45	36	200/265/354	154	321	18	7	41%	7%	74	-0.6	219/281/370	151	299	18	7	31%	7%	83	+0.1	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Drew Robinson 2014 · A	22	43→42	43→55	49→50	46	207/288/323	116	304	10	8	33%	9%	75	-0.5	192/266/331	139	282	14	11	35%	9%	69	-0.9	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕William Beckwith 2013 · A	22	44	48→50	47→50	39	222/278/364	142	295	16	11	30%	5%	81	-0.1	219/285/362	143	306	17	11	32%	7%	83	+0.1	188/276/349	161	252	23	10	34%	8%	76	-0.2
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Jeremy Moore 2008 · A	21	39→49	46→50	50→55	35	198/244/329	132	288	14	13	36%	5%	59	-1.6	211/249/353	142	320	15	17	37%	4%	66	-1.1	240/276/387	147	339	13	19	32%	4%	82	+0.0
✕Alexander Canario 2022 · A	22	36→34	50→60	50	36	193/240/341	148	278	18	14	37%	6%	61	-1.5	207/269/387	180	291	23	14	36%	7%	83	+0.1	201/270/393	193	274	26	13	36%	8%	82	-0.0
✕Nick Maton 2019 · A	22	43→42	42→50	47→45	40	209/262/319	110	292	9	5	30%	6%	63	-1.3	208/274/307	99	287	8	8	28%	8%	65	-1.2	208/300/350	141	261	16	4	25%	10%	84	+0.1
✕Nick Schnell 2022 · A	22	36→44	43→50	52→50	37	174/249/279	106	310	12	14	45%	8%	51	-2.3	186/247/301	115	332	13	8	44%	7%	54	-2.0	204/256/352	148	300	17	13	36%	6%	67	-0.8
✕Aristides Aquino 2016 · A	22	39→41	46→60	52→50	34	200/235/330	130	266	13	10	30%	3%	56	-1.9	200/242/346	146	267	16	8	31%	4%	62	-1.4	212/278/428	216	266	32	9	33%	7%	91	+0.4

Career Stats + Projections

Career Comps

Career Path Comps