Aaron Piasecki — OGILVIE

Aaron PiaseckiSS Fayetteville Woodpeckers

Age 23 L/R A HR -6% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 93 proj PA

wRC+†70

AVG/OBP/SLG.219 / .284 / .311

PA93

HR1

K%26

BB%8

ISO93

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$0M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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 = actual YTD + projected ROS + total. 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)
2026	22	A	Fayetteville Woodpeckers	—	86	72	24	6	0	0	12	13	0	5	4	333	429	417	845	83	393	15	14	376	98	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	A MLE	Fayetteville Woodpeckers	—	86	76	21	5	0	0	8	18	0	5	4	276	345	342	687	66	345	21	9	313	98	—	—	—	—	—	—
2026	22	A MLE	Fayetteville Woodpeckers	—	86	76	21	5	0	0	8	18	0	5	4	276	345	342	687	66	350	21	9	313	98	—	—	—	—	—	—
2026	22	A RAW	Fayetteville Woodpeckers	—	86	72	24	6	0	0	12	13	0	5	4	333	429	417	845	83	393	15	14	376	98	—	—	—	—	—	—
2026	22	A MLE	Fayetteville Woodpeckers	—	86	78	21	5	0	0	8	18	0	5	4	269	345	333	679	64	345	21	9	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A MLE	Fayetteville Woodpeckers	—	86	78	21	5	0	0	8	18	0	5	4	269	345	333	679	64	345	21	9	313	98	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	HOU	0%	196	178	39	8	1	2	15	51	1	3	1	220	286	313	599	93	291	26	8	272	70	-7	+0	+0	+2	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	HOU	30%	179	162	36	7	1	2	14	46	1	2	1	223	289	322	611	98	292	26	8	276	73	-6	+0	+0	+2	+4	0.0
2029	25	MLB MLE	HOU	44%	276	250	56	11	1	4	22	70	2	3	1	225	291	328	619	103	292	25	8	280	76	-8	+0	+0	+3	+6	0.1
2030	26	MLB MLE	HOU	51%	343	311	72	14	2	6	27	87	2	4	1	226	293	333	626	107	292	25	8	283	77	-9	+0	+0	+4	+7	0.2
2031	27	MLB MLE	HOU	52%	377	342	77	15	2	6	30	95	2	4	1	226	293	334	628	108	292	25	8	283	78	-10	+0	+0	+4	+8	0.3
2032	28	MLB MLE	HOU	53%	398	360	82	16	2	7	32	101	3	4	1	225	293	334	626	108	291	25	8	283	77	-11	+0	-1	+4	+9	0.2
2033	29	MLB MLE	HOU	53%	403	366	82	16	2	6	32	103	2	4	1	223	290	328	618	105	290	26	8	279	75	-12	+0	-1	+4	+9	0.0
2034	30	MLB MLE	HOU	52%	403	366	81	16	2	6	32	104	2	4	2	220	287	321	607	100	288	26	8	275	72	-13	+0	-2	+4	+9	-0.2
2028	24	MLB CTX	HOU	30%	54	50	11	2	0	1	4	14	0	1	0	226	292	326	618	100	297	26	7	279	73	-2	+0	+0	+1	+1	0.0
2029	25	MLB CTX	HOU	44%	122	110	26	5	1	2	10	31	1	2	0	228	294	332	626	105	297	25	8	283	76	-4	+0	+0	+1	+3	0.1
2030	26	MLB CTX	HOU	51%	174	157	36	7	1	3	14	44	1	2	0	229	295	337	633	108	297	25	8	285	77	-5	+0	+0	+2	+4	0.1
2031	27	MLB CTX	HOU	52%	198	179	41	8	1	3	16	50	1	2	1	229	296	339	634	110	296	25	8	286	78	-5	+0	+0	+2	+4	0.1
2032	28	MLB CTX	HOU	53%	212	192	44	9	1	3	17	54	1	2	1	228	295	338	633	110	295	25	8	285	77	-6	+0	-0	+2	+5	0.1
2033	29	MLB CTX	HOU	53%	212	192	43	9	1	3	17	54	1	2	1	226	293	332	625	106	294	25	8	282	75	-6	+0	-1	+2	+5	-0.0
2034	30	MLB CTX	HOU	52%	210	190	43	9	1	3	17	54	1	2	1	223	289	325	614	102	293	26	8	278	72	-7	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1182	1070	244	49	6	18	95	301	6	13	4	228	295	336	630	107	299	25	8	283	76	-34	+1	-2	+13	+26	0.3
/ 162G	—	A+C		—	650	588	134	27	3	10	52	166	3	7	2	228	293	335	629	107	299	26	8	283	76	-19	+1	-1	+7	+14	0.2
Career	—	MLE		—	2558	2318	525	104	12	38	204	648	15	31	12	226	293	331	624	104	296	25	8	281	76	-72	+2	-4	+26	+54	0.6
/ 162G	—	MLE		—	650	589	133	26	3	10	52	165	4	8	3	226	293	331	625	105	294	25	8	281	76	-19	+1	-1	+7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,274	20	15	225	288	330	+14	+12	1.3	1.3
/162	664	10	8	+7.1	+6.3	0.7	pk7: 1
#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
Aaron Piasecki (OGILVIE)	23	—	—	—	—	219/284/311	92	291	1	1	26%	8%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Randy Florentino 2023 · A	23	37	41→45	47→45	41	184/247/274	90	275	9	6	35%	7%	48	-2.5	197/245/283	86	259	8	6	26%	6%	49	-2.4	182/223/254	73	228	7	4	23%	5%	32	-1.1
✕Hunter Fitz-Gerald 2024 · A	23	44→43	40→50	49→50	41	210/269/305	94	313	7	6	33%	7%	63	-1.4	223/276/347	124	333	11	8	34%	6%	75	-0.5	224/276/371	147	327	16	9	35%	6%	78	-0.2
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	47	218/294/306	88	309	7	13	29%	9%	73	-0.6	202/287/334	132	324	13	21	38%	10%	77	-0.3	193/290/335	142	306	15	26	38%	11%	76	-0.4
✕Matthew Wood 2024 · A	23	45	37→45	46→45	54	214/299/282	68	265	5	5	20%	10%	70	-0.9	211/297/307	96	251	9	6	19%	10%	75	-0.5	205/299/321	116	233	13	6	17%	10%	78	-0.2
✕Pratt Maynard 2013 · A	23	44	38→45	47→45	45	209/262/284	75	268	5	7	24%	6%	55	-1.9	221/283/326	105	280	8	5	23%	8%	73	-0.6	221/291/339	118	273	9	2	22%	9%	76	-0.2
✕Johnny Monell 2009 · A	23	47→43	43→50	48→45	47	227/295/345	118	284	10	10	23%	7%	82	+0.0	228/285/359	131	288	13	6	24%	7%	82	-0.0	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	208/259/303	95	280	8	8	28%	6%	59	-1.7	210/270/304	94	317	6	3	33%	7%	63	-1.4	201/266/291	90	303	6	1	33%	8%	57	-1.0
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4
✕Anthony Seigler 2022 · A	23	41→40	42→45	44→55	45	198/274/307	110	297	9	6	34%	9%	66	-1.1	190/290/299	109	249	10	15	25%	12%	71	-0.8	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Ben Rortvedt 2021 · AA	23	45	42→45	48→40	44	221/282/329	108	291	9	4	26%	7%	74	-0.6	204/269/325	121	286	14	4	32%	7%	68	-1.0	201/288/304	103	283	11	2	30%	10%	70	-0.3
✕Ty Hanchey 2024 · A	24	44	40→45	50→40	50	210/283/302	91	268	7	8	23%	9%	68	-1.0	213/283/312	99	296	9	5	29%	8%	70	-0.8	207/277/307	100	297	10	3	32%	7%	65	-0.5
✕Chris Pieters 2018 · A	23	45	40→45	51→55	44	213/278/313	100	287	7	13	27%	7%	68	-1.0	208/259/299	91	298	6	11	30%	6%	57	-1.8	170/204/219	49	257	0	15	32%	4%	17	-0.8
✕Jose Brizuela 2016 · A	23	41→39	44→50	50→45	45	206/271/326	120	274	11	7	28%	8%	69	-0.9	208/265/331	123	293	14	5	32%	7%	68	-1.0	187/241/315	128	257	17	1	34%	6%	53	-0.9
✕Sherman Johnson 2013 · A	23	45→49	39→45	52→50	53	213/301/306	94	282	6	9	25%	11%	76	-0.4	219/297/329	110	279	8	12	23%	9%	79	-0.2	210/291/324	114	260	9	14	22%	10%	73	-0.6
✕J.C. Escarra 2018 · A	23	38→45	38→45	43→45	49	183/273/268	84	243	4	3	25%	9%	57	-1.8	195/259/287	92	245	9	4	23%	7%	56	-1.9	220/289/338	117	255	10	3	17%	7%	76	-0.2
✕Collin Burns 2023 · A	23	48	40→45	49→55	43	233/284/328	95	292	8	13	22%	5%	74	-0.6	206/262/287	81	279	6	17	27%	6%	56	-1.9	185/244/250	66	256	4	21	28%	6%	38	-1.4
✕Matthew Acosta 2022 · A	24	44	43→45	53→50	47	215/288/332	117	296	10	9	29%	9%	76	-0.4	204/270/309	105	294	10	13	32%	8%	65	-1.2	179/248/270	91	259	9	16	33%	8%	46	-1.6
✕Irving Lopez 2018 · A	23	45→49	42→45	47→40	46	221/286/326	105	259	10	7	19%	6%	74	-0.5	226/289/333	107	278	9	3	21%	6%	77	-0.3	216/278/320	104	272	8	2	23%	5%	67	-0.7
✕Shayne Fontana 2021 · A	24	47	40→45	52→55	45	225/292/328	103	296	6	13	25%	7%	77	-0.3	205/287/313	108	295	10	10	31%	9%	72	-0.7	219/303/314	95	294	10	19	27%	8%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps