Dayker Baldallo — OGILVIE

Dayker BaldalloSS DSL Athletics

Age 22 L/R 5'10" / 135 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 74 proj PA

wRC+†56

AVG/OBP/SLG.202 / .270 / .272

PA6

HR0

K%29

BB%8

ISO71

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
2026	MiLB	still in minors · estimated debut 2032
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	$1.0M	—	—	—
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. 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)
2021	17	ROK	DSL Athletics	—	86	61	12	1	0	0	21	20	2	1	1	197	417	213	630	16	286	23	24	318	101	+0	-0	—	—	+2	0.2
2022	18	ROK	DSL Athletics	—	97	75	12	2	0	0	20	22	1	3	0	160	344	187	530	27	222	23	21	271	70	-3	+1	—	—	+2	-0.1
2023	19	ROK	DSL Athletics	—	132	107	17	4	0	0	21	30	3	2	2	159	313	196	509	37	218	23	16	256	59	-6	-0	—	—	+3	-0.4
2024	20	ROK	DSL Athletics	—	155	129	29	0	0	0	21	29	1	3	0	225	338	225	563		290	19	14	269	68	-6	+1	—	—	+3	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Athletics	—	86	69	11	1	0	0	13	29	2	1	1	159	310	174	483	14	235	34	15	228	40	-6	-0	—	—	+2	-0.5
2022	18	ROK MLE	DSL Athletics	—	97	83	9	1	0	0	12	33	1	3	0	108	229	120	350	12	179	34	12	184	11	-10	+1	—	—	+2	-0.8
2023	19	ROK MLE	DSL Athletics	—	132	115	12	2	0	0	13	43	3	2	2	104	214	122	335	17	159	33	10	165	-2	-16	-0	—	—	+3	-1.4
2024	20	ROK MLE	DSL Athletics	—	155	137	24	0	0	0	13	42	1	3	0	175	252	175	427		246	27	8	200	22	-14	+1	—	—	+3	-1.1
2021	17	ROK MLE	DSL Athletics	—	86	69	11	1	0	0	13	29	2	1	1	159	310	174	483	14	268	34	15	228	40	—	—	—	—	—	—
2021	17	ROK RAW	DSL Athletics	—	86	61	12	1	0	0	21	20	2	1	1	197	417	213	630	16	286	23	24	318	40	—	—	—	—	—	—
2022	18	ROK MLE	DSL Athletics	—	97	83	9	1	0	0	12	33	1	3	0	108	229	120	350	12	176	34	12	184	11	—	—	—	—	—	—
2022	18	ROK RAW	DSL Athletics	—	97	75	12	2	0	0	20	22	1	3	0	160	344	187	530	27	222	23	21	271	11	—	—	—	—	—	—
2023	19	ROK MLE	DSL Athletics	—	132	115	12	2	0	0	13	43	3	2	2	104	214	122	335	17	164	33	10	165	-2	—	—	—	—	—	—
2023	19	ROK RAW	DSL Athletics	—	132	107	17	4	0	0	21	30	3	2	2	159	313	196	509	37	218	23	16	256	-2	—	—	—	—	—	—
2024	20	ROK MLE	DSL Athletics	—	155	137	24	0	0	0	13	42	1	3	0	175	252	175	427		253	27	8	200	22	—	—	—	—	—	—
2024	20	ROK RAW	DSL Athletics	—	155	129	29	0	0	0	21	29	1	3	0	225	338	225	563		290	19	14	269	22	—	—	—	—	—	—
2021	17	ROK MLE	DSL Athletics	—	86	71	11	1	0	0	13	29	2	1	1	155	310	169	479	14	235	34	15	228	40	—	—	—	—	—	—
2022	18	ROK MLE	DSL Athletics	—	97	84	9	1	0	0	12	33	1	3	0	107	229	119	348	12	179	34	12	184	11	—	—	—	—	—	—
2023	19	ROK MLE	DSL Athletics	—	132	115	12	2	0	0	13	43	3	2	2	104	214	122	335	17	159	33	10	165	-2	—	—	—	—	—	—
2024	20	ROK MLE	DSL Athletics	—	155	140	24	0	0	0	13	42	1	3	0	171	252	171	423		246	27	8	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Athletics	—	132	115	12	2	0	0	13	43	3	2	2	104	214	122	335	17	159	33	10	165	-2	—	—	—	—	—	—
2024	20	ROK MLE	DSL Athletics	—	155	140	24	0	0	0	13	42	1	3	0	171	252	171	423		246	27	8	200	22	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	OAK	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		284	33	0	252	56	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	OAK	34%	113	102	21	3	1	1	9	31	1	1	0	206	277	284	561	78	286	27	8	264	65	-5	+0	+0	+1	+2	-0.1
2028	24	MLB MLE	OAK	46%	243	220	47	7	1	4	19	66	2	3	1	214	282	309	591	95	288	27	8	273	71	-8	+0	+0	+3	+5	-0.0
2029	25	MLB MLE	OAK	52%	329	297	65	10	2	6	26	89	3	4	1	219	288	327	615	108	288	27	8	278	75	-10	+0	+0	+4	+7	0.1
2030	26	MLB MLE	OAK	54%	386	348	77	12	2	8	31	104	4	5	1	221	292	336	629	115	288	27	8	282	77	-11	+1	+0	+4	+8	0.2
2031	27	MLB MLE	OAK	54%	416	375	82	13	2	8	34	112	4	5	2	219	291	328	619	109	288	27	8	282	77	-11	+0	+0	+4	+9	0.2
2032	28	MLB MLE	OAK	54%	431	389	84	13	2	8	35	117	4	5	2	216	287	321	609	105	288	27	8	281	76	-12	+0	-1	+5	+9	0.1
2033	29	MLB MLE	OAK	53%	433	390	84	13	2	8	36	118	4	5	1	215	288	321	609	105	287	27	8	279	75	-13	+1	-1	+5	+9	0.0
2034	30	MLB MLE	OAK	52%	431	388	84	13	2	8	36	119	4	4	1	216	290	322	612	106	286	28	8	277	73	-14	+0	-2	+5	+9	-0.1
2027	23	MLB CTX	OAK	34%	39	36	7	1	0	0	3	11	0	0	0	194	256	222	479	28	291	28	8	260	65	-2	+0	+0	+0	+1	-0.0
2028	24	MLB CTX	OAK	46%	112	101	23	4	1	2	9	31	1	1	0	228	297	347	644	119	293	28	8	268	71	-4	+0	+0	+1	+2	-0.0
2029	25	MLB CTX	OAK	52%	170	152	35	6	1	3	14	46	2	2	1	230	304	342	646	112	293	27	8	274	75	-5	+0	+0	+2	+4	0.0
2030	26	MLB CTX	OAK	54%	209	188	42	7	1	4	17	56	2	3	1	223	295	335	630	112	293	27	8	277	77	-6	+0	+0	+2	+5	0.1
2031	27	MLB CTX	OAK	54%	226	204	44	7	1	4	18	61	2	3	1	216	286	319	604	103	293	27	8	277	77	-6	+0	+0	+2	+5	0.1
2032	28	MLB CTX	OAK	54%	234	211	47	8	1	4	19	63	2	3	1	223	293	327	620	104	293	27	8	276	76	-7	+0	-0	+3	+5	0.1
2033	29	MLB CTX	OAK	53%	230	207	45	7	1	4	19	63	2	2	1	217	289	319	608	101	292	27	8	275	75	-7	+0	-1	+2	+5	-0.0
2034	30	MLB CTX	OAK	52%	226	203	44	7	1	4	19	62	2	2	1	217	290	320	610	103	291	27	8	272	73	-7	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1446	1302	287	47	7	25	118	393	13	16	6	220	292	325	617	104	294	27	8	274	66	-43	+1	-2	+15	+31	0.2
/ 162G	—	A+C		—	650	585	128	21	3	11	53	177	6	7	3	219	290	321	612	103	292	27	8	274	66	-19	+0	-1	+7	+14	0.1
Career	—	MLE		—	3258	2919	601	88	14	51	277	905	33	41	12	206	282	298	580	92	278	28	9	266	66	-84	+3	-4	+30	+60	0.5
/ 162G	—	MLE		—	650	582	120	18	3	10	55	181	7	8	2	206	282	299	581	93	279	28	8	266	66	-20	+1	-1	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	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 5 projected seasons	2.3	1,520	27	18	218	287	324	+16	+15	1.2	1.3
/162	664	12	8	+7.1	+6.6	0.5	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
Dayker Baldallo (OGILVIE)	22	—	—	—	—	202/270/272	70	284	1	1	29%	8%	56	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Christopher Familia 2022 · A	22	42	38→55	47→45	43	200/270/287	86	279	5	10	28%	7%	59	-1.6	215/282/373	158	275	20	5	29%	7%	84	+0.2	208/273/389	181	258	25	2	30%	6%	81	-0.0
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Jamodrick McGruder 2014 · A	22	40→44	37→40	52→50	47	193/261/259	66	255	5	10	25%	8%	50	-2.3	212/286/308	96	275	7	10	23%	9%	70	-0.8	208/289/307	99	266	6	10	22%	10%	68	-0.7
✕Pratt Maynard 2012 · A	22	43	39→45	48→45	42	206/272/292	86	305	7	5	33%	7%	61	-1.5	216/277/306	90	276	7	5	23%	8%	65	-1.2	218/281/314	96	272	7	4	21%	8%	67	-0.5
✕Daniel Schneemann 2019 · A	22	38→48	40→50	50	43	185/251/280	94	271	8	6	33%	8%	51	-2.3	211/270/297	86	293	7	9	28%	7%	61	-1.5	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕Thomas Milone 2017 · A	22	40→45	36→45	48→55	40	191/248/252	62	276	3	14	31%	6%	42	-2.9	213/266/300	87	301	4	12	29%	6%	60	-1.6	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Raynel Delgado 2022 · A	22	37→47	40	47→60	36	184/239/270	86	284	8	13	36%	6%	44	-2.8	212/279/303	91	297	8	18	29%	7%	66	-1.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Leandro Pineda 2023 · A	21	36→46	39→45	47→45	42	172/250/266	94	272	5	6	36%	8%	48	-2.5	200/267/315	115	279	11	6	30%	7%	65	-1.2	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Vimael Machín 2016 · A	22	40→50	37→45	49→50	47	193/254/262	69	248	4	7	23%	8%	47	-2.5	224/285/313	89	284	8	6	22%	8%	70	-0.8	241/308/341	100	286	7	3	17%	8%	85	+0.2
✕Jace Jung 2023 · A	22	44→42	39→50	50→40	50	208/292/300	92	296	6	7	29%	10%	71	-0.8	215/300/370	155	288	18	4	30%	10%	90	+0.6	208/298/364	156	272	18	3	29%	11%	86	+0.3
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Joe Rizzo 2019 · A	21	43→48	38→50	47→40	41	205/258/277	72	292	6	5	31%	6%	52	-2.2	223/269/328	105	291	11	4	26%	5%	68	-1.0	232/279/362	130	287	16	2	25%	6%	77	-0.3
✕Luis Valenzuela 2015 · A	21	41	37→45	55→45	39	197/236/272	76	265	4	7	27%	5%	42	-2.9	244/270/336	92	305	5	7	21%	3%	69	-0.9	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕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
✕Ramon Mendoza 2023 · A	22	40→49	37→45	48→45	44	187/265/261	75	278	4	7	32%	8%	52	-2.2	212/285/310	98	296	8	5	29%	8%	70	-0.8	230/307/340	110	300	10	3	25%	9%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps