Daniel Mielcarek

Daniel MielcarekSS ACL Dodgers

Age 20 S/R 6'3" / 185 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION152 act + 15 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.154 / .267 / .154

PA15

HR0

K%40

BB%13

BABIP284

ISO107

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 25 / POW 49

Toolsscout grade

CONTACT25

scouting grade only

POWER49

scouting grade only

EYE67

scouting grade only

SPEED59

scouting grade only

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$2M

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)
2023	17	ROK	DSL LAD Mega	—	89	68	13	1	1	0	18	33	2	6	4	191	375	235	610	44	361	37	20	302	91	-1	-0	—	—	+2	0.1
2024	18	ROK	DSL LAD Mega	—	126	100	19	2	0	4	22	49	4	11	1	190	357	330	687	140	319	39	17	325	106	+1	+2	—	—	+3	0.6
2025	19	ROK	DSL LAD Bautista	—	140	108	25	6	1	5	30	40	2	12	3	231	407	444	852	213	317	29	21	385	147	+8	+1	—	—	+3	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Mega	—	89	75	9	1	1	0	11	49	2	6	4	120	250	160	410	40	291	55	12	188	13	-9	-0	—	—	+2	-0.8
2024	18	ROK MLE	DSL LAD Mega	—	126	109	11	1	0	2	13	71	4	11	1	101	222	165	387	64	249	56	10	191	15	-13	+2	—	—	+3	-0.8
2025	19	ROK MLE	DSL LAD Bautista	—	140	120	17	4	1	3	18	57	2	12	3	142	264	267	531	125	224	41	13	241	49	-8	+1	—	—	+3	-0.4
2023	17	ROK MLE	DSL LAD Mega	—	89	75	9	1	1	0	11	49	2	6	4	120	250	160	410	40	333	55	12	188	13	—	—	—	—	—	—
2023	17	ROK RAW	DSL LAD Mega	—	89	68	13	1	1	0	18	33	2	6	4	191	375	235	610	44	361	37	20	302	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	109	11	1	0	2	13	71	4	11	1	101	222	165	387	64	250	56	10	191	15	—	—	—	—	—	—
2024	18	ROK RAW	DSL LAD Mega	—	126	100	19	2	0	4	22	49	4	11	1	190	357	330	687	140	319	39	17	325	15	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	120	17	4	1	3	18	57	2	12	3	142	264	267	531	125	233	41	13	241	49	—	—	—	—	—	—
2025	19	ROK RAW	DSL LAD Bautista	—	140	108	25	6	1	5	30	40	2	12	3	231	407	444	852	213	317	29	21	385	49	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	89	76	9	1	1	0	11	49	2	6	4	118	250	158	408	39	291	55	12	188	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	108	11	1	0	2	13	71	4	11	1	102	222	167	389	65	249	56	10	191	15	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	119	17	4	1	3	18	57	2	12	3	143	264	269	533	126	224	41	13	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL LAD Mega	—	89	76	9	1	1	0	11	49	2	6	4	118	250	158	408	39	291	55	12	188	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	108	11	1	0	2	13	71	4	11	1	102	222	167	389	65	249	56	10	191	15	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	119	17	4	1	3	18	57	2	12	3	143	264	269	533	126	224	41	13	241	49	—	—	—	—	—	—
YTD	20	ROK MLE	LAD	—	152	131	24	4	0	5	17	79	2	4	2	183	287	328	615	145	388	52	11	270	69	-6	+0	+0	+2	+3	-0.1
▸ 2026 season
YTD	20	ROK RAW	LAD	—	152	120	35	7	0	7	28	55	2	4	2	292	433	525	958	233	467	36	18	418	69	—	—	—	—	—	—
ROS	20	ROK MLE	LAD	0%	15	13	2	0	0	0	2	6	0	0	0	154	267	154	421		288	40	13	266	66	-1	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	LAD	—	167	144	26	4	0	5	19	85	2	4	2	181	285	312	597	132	375	51	11	270	69	-6	+0	+0	+2	+4	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	34%	216	190	37	7	1	5	22	77	2	4	1	195	285	321	606	126	290	36	10	276	73	-7	+0	+0	+2	+5	0.1
2028	22	MLB MLE	LAD	48%	338	297	60	11	1	9	34	117	4	7	2	202	293	337	629	135	291	35	10	284	78	-9	+1	+0	+4	+7	0.3
2029	23	MLB MLE	LAD	54%	420	369	76	14	2	11	43	142	5	10	3	206	297	344	642	138	292	34	10	289	82	-9	+1	+0	+4	+9	0.5
2030	24	MLB MLE	LAD	55%	475	419	86	16	2	13	48	158	5	11	3	205	294	346	641	141	293	33	10	292	83	-9	+1	+0	+5	+10	0.7
2031	25	MLB MLE	LAD	56%	506	443	92	17	2	14	52	168	6	12	4	208	299	350	649	142	293	33	10	293	84	-10	+1	+0	+5	+11	0.8
2032	26	MLB MLE	LAD	56%	523	459	95	17	2	15	53	174	6	12	4	207	297	351	648	144	293	33	10	293	84	-10	+1	+0	+6	+11	0.8
2033	27	MLB MLE	LAD	55%	529	463	95	17	2	15	55	176	6	13	4	205	298	348	645	143	292	33	10	293	85	-10	+1	+0	+6	+11	0.9
2034	28	MLB MLE	LAD	59%	529	463	95	17	2	15	55	177	6	12	4	205	298	348	645	143	292	33	10	292	84	-10	+1	-1	+6	+11	0.7
2035	29	MLB MLE	LAD	56%	522	456	93	17	2	14	55	176	6	12	3	204	298	342	640	138	291	34	11	290	83	-11	+1	-1	+6	+11	0.6
2036	30	MLB MLE	LAD	54%	513	448	91	16	2	14	54	174	6	11	3	203	297	342	639	138	290	34	11	288	81	-12	+1	-2	+5	+11	0.4
2037	31	MLB MLE	LAD	57%	500	438	88	16	2	13	52	171	6	10	3	201	294	336	630	135	288	34	10	284	78	-13	+1	-3	+5	+11	0.1
2038	32	MLB MLE	LAD	60%	482	424	83	15	2	12	50	167	5	10	3	196	288	325	614	130	285	35	10	279	75	-14	+1	-4	+5	+10	-0.1
2027	21	MLB CTX	LAD	34%	74	65	12	2	0	2	8	26	1	2	0	185	284	308	591	123	286	35	11	267	73	-2	+0	+0	+1	+2	0.0
2028	22	MLB CTX	LAD	48%	164	144	29	5	1	4	17	57	2	4	1	201	294	333	628	132	287	35	10	275	78	-4	+0	+0	+2	+4	0.2
2029	23	MLB CTX	LAD	54%	228	200	40	7	1	6	23	77	3	5	2	200	292	335	627	135	288	34	10	280	82	-5	+0	+0	+2	+5	0.3
2030	24	MLB CTX	LAD	55%	263	231	47	8	1	8	27	88	3	6	2	203	295	351	646	147	289	33	10	283	83	-5	+0	+0	+3	+6	0.4
2031	25	MLB CTX	LAD	56%	283	249	51	9	1	8	29	94	3	7	2	205	295	345	641	141	289	33	10	284	84	-5	+1	+0	+3	+6	0.5
2032	26	MLB CTX	LAD	56%	294	259	53	9	1	9	30	98	3	7	2	205	295	351	646	147	288	33	10	284	84	-5	+1	+0	+3	+6	0.5
2033	27	MLB CTX	LAD	55%	293	258	53	9	1	9	30	98	3	7	2	205	296	353	648	147	288	33	10	284	85	-5	+1	+0	+3	+6	0.5
2034	28	MLB CTX	LAD	59%	312	272	56	10	1	9	33	105	4	7	2	206	301	349	650	143	288	34	11	283	84	-6	+1	-0	+3	+7	0.4
2035	29	MLB CTX	LAD	56%	292	256	51	9	1	8	31	98	3	7	2	199	293	336	629	137	287	34	11	282	83	-6	+1	-1	+3	+6	0.3
2036	30	MLB CTX	LAD	54%	277	243	49	9	1	8	29	94	3	6	2	202	295	346	640	144	286	34	10	279	81	-6	+0	-1	+3	+6	0.2
2037	31	MLB CTX	LAD	57%	287	252	50	9	1	8	30	98	3	6	2	198	291	337	629	139	284	34	10	275	78	-7	+0	-2	+3	+6	0.1
2038	32	MLB CTX	LAD	60%	288	253	49	8	1	8	30	100	3	6	2	194	287	328	615	134	281	35	10	270	75	-9	+0	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3055	2682	540	94	11	87	317	1033	34	70	21	201	294	342	636	141	288	34	10	280	78	-67	+6	-6	+33	+66	3.2
/ 162G	—	A+C		—	650	571	115	20	2	19	67	220	7	15	4	201	293	343	636	142	287	34	10	280	78	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	5923	5186	1030	186	24	155	617	2060	71	153	45	199	292	333	626	135	292	35	10	284	78	-123	+10	-10	+60	+121	5.8
/ 162G	—	MLE		—	650	569	113	20	3	17	68	226	8	17	5	199	293	334	627	135	292	35	10	284	78	-14	+1	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.8	3,181	85	71	204	292	341	+34	+21	5.4	4.8
/162	664	18	15	+7.1	+4.4	1.1	pk7: 4
#6Adam 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

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
Daniel Mielcarek (OGILVIE)	20	20→25	44→49	54→59	67	183/277/297	114	288	3	3	38%	10%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Brenny Escanio 2023 · A	20	37→36	41→40	52→55	47	181/270/284	103	266	8	16	33%	10%	60	-1.6	181/257/248	67	296	3	15	36%	9%	46	-2.6	169/248/225	55	281	3	17	37%	9%	35	-1.8
✕Robel García 2012 · A	19	37	43→50	53→40	43	183/255/301	118	276	9	9	35%	8%	57	-1.8	185/251/274	89	282	5	5	34%	8%	49	-2.4	189/259/371	183	269	25	2	39%	8%	74	-0.3
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕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
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Nerwilian Cedeño 2022 · A	20	40→32	40→45	51→50	44	189/267/287	97	296	6	7	36%	9%	59	-1.7	191/263/301	110	295	10	12	36%	8%	60	-1.6	173/245/279	105	263	10	12	36%	8%	46	-1.5
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Max George 2016 · A	20	39→38	39→45	54→55	42	186/270/274	88	290	7	14	35%	8%	57	-1.8	186/268/290	104	258	9	15	30%	8%	60	-1.6	164/253/286	122	221	13	23	31%	8%	52	-1.3
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕John Tolisano 2009 · A	20	38→46	42→45	50	44	189/251/293	104	258	9	6	30%	8%	53	-2.1	196/258/314	118	267	12	6	29%	8%	61	-1.5	202/268/330	129	264	12	12	27%	8%	65	-0.8
✕Brayan Buelvas 2022 · A	20	37→43	45	51→55	40	193/254/318	125	267	13	13	32%	6%	61	-1.5	189/251/316	127	262	13	17	32%	6%	59	-1.6	197/258/324	127	284	12	14	34%	7%	60	-1.1
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Jose Acosta 2019 · A	19	39	37→45	53→55	47	185/259/257	72	250	4	14	26%	8%	49	-2.4	225/287/322	97	319	6	19	29%	7%	74	-0.6	203/263/320	117	308	11	21	36%	6%	62	-0.7
✕Oliver Dominguez 2010 · A	21	41	40	53→45	45	201/262/294	93	269	7	12	27%	7%	57	-1.8	201/272/295	94	275	7	13	27%	9%	62	-1.4	190/268/285	94	265	7	12	29%	9%	55	-0.9

Career Stats + Projections

Career Comps

Career Path Comps