Michael Dattalo

3B Peoria Chiefs

Age 23 R/R 6'0" / 204 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ASTL	65	.259/.338/.328	0	0	68	—	.237/.308/.305
2026	22	A+STL	197	.234/.313/.286	1	1	46	—	.212/.277/.257
2026	22	ASTL	136	.368/.467/.474	1	3	135	—	.342/.415/.433
2027PROJ0% MLB	23	MLBSTL	2	.241/.303/.328	0	0	79	0.0
2028PROJ38% MLB	24	MLBSTL	143	.244/.306/.339	2	2	83	0.1
2029PROJ55% MLB	25	MLBSTL	235	.245/.308/.347	3	3	86	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.4M+2

Skills · percentileMiLB Statcast 2026 A+

Z-Con%83

Whiff%82

K%80

Chase%37

wOBA16

wRC+15

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 1% · didn't stick 96%

CompsPaco Figueroa (age 23) · Brandon Sandoval (age 23) · Isiah Kiner-Falefa (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†79

AVG/OBP/SLG.241 / .303 / .328

PA2

HR0

K%50

BB%7

BABIP321

ISO89

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 59 / POW 36

Toolsscout grade

CONTACT59

scouting grade only

POWER36

scouting grade only

EYE49

scouting grade only

SPEED50

scouting grade only

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
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	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$0.9M

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)
2025	21	A	Palm Beach Cardinals	—	65	58	15	4	0	0	4	11	3	0	0	259	338	328	666	69	319	17	6	309	68	—	—	—	—	—	—
2026	22	A+	Peoria Chiefs	—	197	175	41	6	0	1	14	36	6	1	1	234	313	286	599	51	286	18	7	278	46	—	—	—	—	—	—
2026	22	A	Palm Beach Cardinals	—	136	114	42	9	0	1	18	14	3	3	0	368	467	474	940	105	410	10	13	422	135	—	—	—	—	—	—
2026	22	ROK	FCL Cardinals	—	15	15	4	0	1	1	0	3	0	0	0	267	267	600	867	333	273	20	0	367	48	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Palm Beach Cardinals	—	65	59	14	4	0	0	3	15	3	0	0	237	308	305	613	68	315	23	5	269	68	—	—	—	—	—	—
2026	22	A+ MLE	Peoria Chiefs	—	197	179	38	5	0	1	10	46	6	1	1	212	277	257	534	45	266	23	5	236	46	—	—	—	—	—	—
2026	22	A MLE	Palm Beach Cardinals	—	136	120	41	8	0	1	12	19	3	3	0	342	415	433	848	92	387	14	9	368	135	—	—	—	—	—	—
2026	22	ROK MLE	FCL Cardinals	—	15	15	3	0	1	1	0	4	0	0	0	200	200	533	733	333	205	27	0	239	48	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	65	59	14	4	0	0	3	15	3	0	0	237	308	305	613	68	318	23	5	269	68	—	—	—	—	—	—
2025	21	A RAW	Palm Beach Cardinals	—	65	58	15	4	0	0	4	11	3	0	0	259	338	328	666	69	319	17	6	309	68	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	348	314	81	13	1	2	22	69	9	4	1	258	325	325	649	67	321	20	6	288	81	—	—	—	—	—	—
2026	22	A+ RAW	3 teams	—	348	304	87	15	1	3	32	53	9	4	1	286	371	372	743	86	335	15	9	338	81	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	65	59	14	4	0	0	3	15	3	0	0	237	308	305	613	68	315	23	5	269	68	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	348	314	81	13	1	2	22	69	9	4	1	258	325	325	649	67	311	20	6	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Palm Beach Cardinals	—	65	59	14	4	0	0	3	15	3	0	0	237	308	305	613	68	315	23	5	269	68	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	348	314	81	13	1	2	22	69	9	4	1	258	325	325	649	67	311	20	6	288	81	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	STL	0%	454	414	99	19	2	4	29	115	8	6	2	240	302	326	628	87	318	25	6	285	79	-11	+0	+0	+2	+10	0.3
▸ 2027 — real world (MLB)
2027	23	MLB CTX	STL	0%	2	2	0	0	0	0	0	1	0	0	0	241	303	328	631	87	321	50	0	286	79	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	STL	38%	376	342	83	16	2	4	25	94	6	5	1	242	305	339	644	96	318	25	7	291	83	-8	+1	+0	+1	+8	0.3
2029	25	MLB MLE	STL	55%	424	386	94	18	2	6	28	105	7	6	2	244	307	347	654	103	317	25	7	295	86	-7	+0	+0	+2	+9	0.4
2030	26	MLB MLE	STL	64%	454	413	100	19	2	7	31	112	7	6	2	244	308	352	661	108	315	25	7	298	88	-7	+0	+0	+2	+10	0.5
2031	27	MLB MLE	STL	66%	467	425	102	19	2	7	32	115	7	6	2	243	308	352	660	109	314	25	7	297	87	-7	+0	+0	+2	+10	0.5
2032	28	MLB MLE	STL	67%	471	428	104	20	2	8	33	117	7	4	2	242	307	350	657	109	312	25	7	296	86	-8	+0	-1	+2	+10	0.4
2033	29	MLB MLE	STL	66%	466	424	101	19	2	7	32	117	7	3	1	239	304	344	647	105	310	25	7	292	84	-9	+0	-1	+2	+10	0.2
2034	30	MLB MLE	STL	65%	459	417	99	18	2	7	32	117	7	1	1	236	300	336	636	100	308	25	7	287	81	-11	-0	-2	+2	+10	-0.1
2028	24	MLB CTX	STL	38%	143	131	32	6	1	2	9	36	2	2	1	244	306	339	645	95	320	25	6	292	83	-3	+0	+0	+1	+3	0.1
2029	25	MLB CTX	STL	55%	235	213	52	10	1	3	16	58	4	3	1	245	308	347	655	102	319	25	7	295	86	-4	+0	+0	+1	+5	0.2
2030	26	MLB CTX	STL	64%	289	262	64	13	1	4	20	71	5	4	1	245	309	352	661	106	318	25	7	298	88	-4	+0	+0	+1	+6	0.3
2031	27	MLB CTX	STL	66%	307	278	68	13	1	5	21	76	5	4	1	244	309	351	660	107	316	25	7	297	87	-5	+0	+0	+1	+7	0.4
2032	28	MLB CTX	STL	67%	315	285	69	14	1	5	22	78	5	3	1	242	307	349	657	107	314	25	7	296	86	-5	+0	-0	+1	+7	0.3
2033	29	MLB CTX	STL	66%	306	278	66	13	1	4	21	77	4	2	1	240	304	343	647	103	313	25	7	292	84	-6	+0	-1	+1	+7	0.1
2034	30	MLB CTX	STL	65%	299	272	65	13	1	4	21	76	4	1	1	237	301	335	636	98	311	25	7	288	81	-7	-0	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1894	1719	416	82	7	27	130	472	29	19	7	242	306	345	651	103	316	25	7	294	84	-34	+1	-3	+7	+41	1.3
/ 162G	—	A+C		—	650	590	142	28	2	9	45	162	10	7	2	241	305	341	646	100	315	25	7	294	84	-12	+0	-1	+2	+14	0.4
Career	—	MLE		—	3850	3499	848	159	17	51	259	942	65	40	13	242	307	341	648	99	316	24	7	292	84	-64	+2	-4	+12	+74	2.2
/ 162G	—	MLE		—	650	591	144	27	3	9	44	159	11	7	2	244	308	345	653	102	317	24	7	292	84	-12	+0	-1	+2	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kevin Newmanlast yr '25 career totals — 8 seasons, 2,343 PA	3.5	2,343	28	47	259	300	355	+20	+8	5.1	5.5
/162	664	8	13	+5.7	+2.2	1.5	pk7: 6
#2Eddie Mayo'36-'48 * career totals — 8 seasons, 3,392 PA	5.1	3,392	26	29	246*	303*	370*	+12	+10	3.3	4.8
/162	664	5	6	+2.4	+1.9	0.6	pk7: 6
#3Tom Downey'09-'15 * career totals — 6 seasons, 2,468 PA	3.7	2,468	7	87	234*	299*	359*	+17	-2	3.8	3.8
/162	664	2	23	+4.6	-0.5	1.0	pk7: 4
#4Dustin 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
#5Jimmy Burke'01-'05 * career totals — 5 seasons, 2,093 PA	3.2	2,093	1	86	236*	296*	348*	+7	+4	2.7	2.7
/162	664	0	27	+2.3	+1.4	0.9	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,895	28	19	242	303	348	+7	+2	2.7	2.7
/162	664	10	7	+2.4	+0.7	0.9	pk7: 3
#6Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	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
Michael Dattalo (OGILVIE)	23	54→59	31→36	45→50	49	238/299/324	86	318	3	5	25%	6%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Paco Figueroa 2006 · A	23	53→59	37→40	49→55	50	246/319/325	79	310	3	11	20%	8%	86	+0.3	253/309/329	76	306	4	16	18%	6%	83	+0.1	264/322/346	82	316	2	19	16%	7%	87	+0.2
✕Brandon Sandoval 2018 · A	23	52→59	39→30	47→50	43	247/292/333	86	316	6	9	23%	5%	77	-0.3	244/286/308	64	334	4	16	26%	5%	69	-0.9	249/290/300	50	343	3	20	27%	5%	66	-0.7
✕Isiah Kiner-Falefa 2018 · AA	23	55→58	36→40	47→55	46	256/308/323	66	302	3	11	16%	5%	80	-0.1	246/304/334	88	294	6	12	17%	6%	82	+0.0	265/312/343	78	301	6	21	14%	5%	87	+0.3
✕Josh Kasevich 2024 · A	23	51→59	37→40	48→50	51	241/303/314	72	277	4	10	14%	7%	77	-0.3	254/306/322	68	298	4	9	15%	6%	80	-0.2	263/317/325	62	307	3	8	15%	6%	81	-0.0
✕Justin Miller 2012 · A	23	50→52	40→45	50	44	238/296/334	96	310	7	8	24%	6%	80	-0.2	236/294/338	102	315	10	14	27%	6%	80	-0.2	237/296/338	100	314	11	16	26%	6%	78	-0.1
✕Tyler Smith 2014 · A	23	48→54	39→40	50	44	227/285/318	91	284	5	11	21%	5%	72	-0.7	239/302/330	91	304	6	9	22%	7%	80	-0.1	242/303/329	87	306	6	8	21%	7%	77	-0.3
✕Billy Fleming 2016 · AA	23	54	38→45	49→40	46	253/309/340	87	314	5	6	20%	6%	85	+0.2	238/285/347	109	293	9	4	21%	6%	78	-0.3	235/280/351	116	283	10	3	20%	5%	75	-0.3
✕Stephen Bruno 2014 · A	23	53→52	39→40	48→50	41	242/309/334	92	338	4	11	28%	6%	84	+0.2	235/292/318	83	306	4	9	23%	5%	74	-0.5	235/291/326	91	295	7	10	21%	4%	74	-0.3
✕Phil Gosselin 2012 · A	23	48→58	39→45	50→45	41	229/274/323	94	298	6	7	24%	5%	68	-1.0	234/275/315	81	293	4	8	21%	5%	67	-1.1	290/329/395	105	352	6	8	18%	5%	102	+0.8
✕John Brontsema 2018 · A	23	51	39→45	46→45	39	238/293/327	88	332	7	9	29%	5%	77	-0.3	220/283/317	97	318	8	11	31%	6%	71	-0.8	186/257/266	81	271	7	16	32%	6%	48	-0.6
✕Maikol Gonzalez 2009 · A	23	51→55	37→40	48→60	47	241/292/320	79	301	3	10	20%	7%	74	-0.6	233/293/312	79	304	2	15	22%	7%	72	-0.7	245/308/312	67	306	2	25	19%	8%	75	-0.3
✕Bryson Brigman 2019 · AA	24	53→59	36→40	51→50	45	248/297/318	70	308	3	13	20%	6%	75	-0.5	239/295/318	79	300	4	9	20%	7%	75	-0.5	245/299/322	76	300	6	12	19%	6%	74	-0.3
✕Bridger Hunt 2008 · A	23	54→56	37→30	45→50	46	257/304/333	77	312	4	13	19%	6%	81	-0.1	236/290/300	64	291	3	8	19%	7%	69	-0.9	218/270/258	40	264	2	6	17%	6%	48	-0.9
✕Tim Hutting 2006 · AA	24	52	38→40	50	47	243/313/327	84	312	4	11	22%	7%	84	+0.2	229/289/316	87	295	7	9	24%	7%	73	-0.6	220/278/287	67	283	7	5	23%	6%	58	-1.1
✕Ozzie Martínez 2010 · A	22	52→61	37→40	50	46	244/291/322	77	288	4	10	17%	6%	74	-0.6	244/290/322	78	291	4	11	17%	5%	74	-0.6	239/284/310	70	287	3	10	17%	5%	66	-0.9
✕Raul Navarro 2015 · A	23	51→56	38→40	49→50	43	244/289/323	79	306	5	12	22%	5%	74	-0.6	225/279/294	69	305	4	10	26%	6%	63	-1.3	208/265/242	34	294	0	8	27%	6%	45	-1.6
✕Leonardo Reginatto 2014 · A	24	57→62	36→30	46→45	46	266/311/332	65	326	2	8	19%	6%	83	+0.1	253/301/315	62	308	2	8	17%	6%	76	-0.4	249/296/305	56	303	2	7	17%	5%	69	-0.7
✕Trey Harris 2019 · A	23	49→53	38→45	49→45	49	229/298/321	92	278	4	9	18%	7%	78	-0.3	243/296/366	123	300	12	6	22%	5%	87	+0.4	236/289/343	108	296	11	6	23%	4%	76	-0.3
✕Chesny Young 2016 · A	23	59→64	35→30	49→50	48	278/324/341	64	325	2	12	15%	6%	91	+0.6	257/305/319	62	310	2	11	17%	6%	78	-0.3	250/297/303	53	306	2	10	18%	6%	69	-0.7
✕Justin Sellers 2009 · AA	23	49→56	39→45	50	48	232/294/323	91	280	6	10	19%	7%	76	-0.4	235/301/340	105	286	8	9	20%	8%	83	+0.1	230/303/342	112	279	9	7	20%	8%	83	+0.1

Michael Dattalo

Career Stats + Projections

Career Comps

Career Path Comps