Daniel Mielcarek

SS ACL Dodgers

Age 21 S/R 6'3" / 185 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2265ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL LAD Mega	126	.190/.357/.330	4	11	16	—	.103/.238/.168
2025	19	ROKDSL LAD Bauti…	140	.231/.407/.444	5	12	39	—	.119/.257/.212
2026	20	ROKLAD	152	.292/.433/.525	7	4	67	—	.176/.280/.298
2027PROJMLE	21	MLBLAD	262	.178/.264/.276	4	5	55	-0.1
2028PROJ34% MLB	22	MLBLAD	44	.181/.267/.287	1	1	60	-0.0
2029PROJ48% MLB	23	MLBLAD	100	.186/.272/.300	2	2	65	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO90

wRC+85

wOBA78

BB%71

Chase%67

Speed18

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsAllan Castro (age 21) · C.J. Beatty (age 21) · Nomar Fana (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 78 proj PA

wRC+†55

AVG/OBP/SLG.176 / .262 / .273

PA78

HR1

K%35

BB%9

ISO98

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 25 / POW 48

Toolsscout grade

CONTACT25

scouting grade only

POWER48

scouting grade only

EYE70

scouting grade only

SPEED57

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$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 = full-season projection (no games played yet). 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)
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	22	—	—	—	—	—	—
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	16	—	—	—	—	—	—
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	39	—	—	—	—	—	—
2026	20	ROK	ACL Dodgers	—	152	120	35	7	0	7	28	55	2	4	2	292	433	525	958	233	467	36	18	418	67	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Mega	—	89	74	9	1	1	0	12	41	2	6	4	122	261	162	424	41	245	46	13	200	22	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	107	11	1	0	2	15	60	4	11	1	103	238	168	406	65	201	48	12	192	16	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	118	14	3	1	2	20	48	2	12	3	119	257	212	469	93	179	34	14	226	39	—	—	—	—	—	—
2026	20	ROK MLE	ACL Dodgers	—	152	131	23	4	0	4	17	79	2	4	2	176	280	298	578	122	365	52	11	267	67	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	89	74	9	1	1	0	12	41	2	6	4	122	261	162	424	41	265	46	13	200	22	—	—	—	—	—	—
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	22	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	107	11	1	0	2	15	60	4	11	1	103	238	168	406	65	200	48	12	192	16	—	—	—	—	—	—
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	16	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	118	14	3	1	2	20	48	2	12	3	119	257	212	469	93	176	34	14	226	39	—	—	—	—	—	—
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	39	—	—	—	—	—	—
2026	20	ROK MLE	ACL Dodgers	—	152	131	23	4	0	4	17	79	2	4	2	176	280	298	578	122	380	52	11	267	67	—	—	—	—	—	—
2026	20	ROK RAW	ACL Dodgers	—	152	120	35	7	0	7	28	55	2	4	2	292	433	525	958	233	467	36	18	418	67	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	89	75	9	1	1	0	12	41	2	6	4	120	261	160	421	40	245	46	13	200	22	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	126	106	11	1	0	2	15	60	4	11	1	104	238	170	408	66	201	48	12	192	16	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	117	14	3	1	2	20	48	2	12	3	120	257	214	471	94	179	34	14	226	39	—	—	—	—	—	—
2026	20	ROK MLE	ACL Dodgers	—	152	132	23	4	0	4	17	79	2	4	2	174	280	295	575	121	365	52	11	267	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL LAD Mega	—	126	106	11	1	0	2	15	60	4	11	1	104	238	170	408	66	201	48	12	192	16	—	—	—	—	—	—
2025	19	ROK MLE	DSL LAD Bautista	—	140	117	14	3	1	2	20	48	2	12	3	120	257	214	471	94	179	34	14	226	39	—	—	—	—	—	—
2026	20	ROK MLE	ACL Dodgers	—	152	132	23	4	0	4	17	79	2	4	2	174	280	295	575	121	365	52	11	267	67	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAD	0%	262	232	41	7	1	4	25	91	3	5	1	178	264	276	540	98	265	35	10	249	55	-14	+1	+0	+3	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAD	34%	127	113	21	4	1	2	12	43	1	3	1	184	270	291	561	107	267	34	9	258	60	-6	+0	+0	+1	+3	-0.2
2029	23	MLB MLE	LAD	48%	207	184	34	6	1	4	19	69	2	5	1	189	274	303	578	114	270	33	9	264	65	-9	+1	+0	+2	+4	-0.1
2030	24	MLB MLE	LAD	53%	291	259	49	9	1	6	27	95	3	7	2	193	278	313	591	120	272	33	9	269	69	-11	+1	+0	+3	+6	-0.1
2031	25	MLB MLE	LAD	55%	350	310	61	11	2	8	33	112	4	8	2	196	281	321	602	124	273	32	9	274	71	-12	+1	+0	+4	+8	0.0
2032	26	MLB MLE	LAD	56%	382	339	68	12	2	9	36	120	4	9	2	199	283	327	610	127	274	31	9	277	73	-12	+1	+0	+4	+8	0.1
2033	27	MLB MLE	LAD	59%	397	353	69	12	2	9	37	126	4	9	2	198	282	324	606	126	274	32	9	275	72	-13	+1	+0	+4	+9	0.1
2034	28	MLB MLE	LAD	61%	401	357	70	12	2	9	37	128	4	8	2	196	280	320	600	123	273	32	9	273	71	-14	+1	-1	+4	+9	-0.1
2035	29	MLB MLE	LAD	63%	396	352	69	12	2	9	37	127	4	7	2	194	278	314	591	120	272	32	9	269	68	-15	+1	-1	+4	+9	-0.3
2028	22	MLB CTX	LAD	34%	44	40	7	1	0	1	4	15	0	1	0	181	267	287	554	106	261	34	9	255	60	-2	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	LAD	48%	100	90	16	3	0	2	9	33	1	2	1	186	272	300	571	114	264	33	9	262	65	-4	+0	+0	+1	+2	-0.1
2030	24	MLB CTX	LAD	53%	153	136	26	4	1	4	14	50	2	3	1	190	275	310	585	120	266	33	9	267	69	-6	+0	+0	+2	+3	-0.1
2031	25	MLB CTX	LAD	55%	192	170	34	6	1	5	18	61	2	4	1	193	278	317	596	124	267	32	9	271	71	-7	+0	+0	+2	+4	0.0
2032	26	MLB CTX	LAD	56%	213	189	37	6	1	5	20	67	2	5	1	196	280	323	604	127	268	31	9	274	73	-7	+1	+0	+2	+5	0.1
2033	27	MLB CTX	LAD	59%	235	209	41	7	1	6	22	74	2	5	1	195	279	321	600	126	268	31	9	273	72	-8	+1	+0	+3	+5	0.1
2034	28	MLB CTX	LAD	61%	246	219	42	7	1	6	23	78	2	5	1	193	278	316	594	123	267	32	9	270	71	-9	+1	-0	+3	+5	-0.0
2035	29	MLB CTX	LAD	63%	248	221	42	7	1	6	23	80	2	5	1	191	275	310	585	119	266	32	9	267	68	-9	+1	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1431	1274	245	41	6	35	133	458	13	30	7	192	275	316	592	124	267	32	9	269	64	-51	+3	-1	+15	+31	-0.3
/ 162G	—	A+C		—	650	579	112	19	3	16	60	208	6	14	3	193	276	320	595	126	268	32	9	269	64	-23	+1	-1	+7	+14	-0.1
Career	—	MLE		—	3136	2767	509	89	15	65	309	1075	37	91	24	184	275	297	572	113	270	34	10	263	64	-96	+6	-2	+28	+57	-0.7
/ 162G	—	MLE		—	650	574	104	18	3	13	64	223	8	19	5	181	272	291	563	110	267	34	10	263	64	-24	+1	-1	+7	+14	-0.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Dodgers · 152 PAwOBA .413 → .267 (−147)K% 36.2% → 52.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.18%	÷1.000	×1.440	—	—	52.11%
BB% (unintentional) /PA	18.42%	÷1.000	×0.620	—	×0.985	11.25%
HBP% /PA	1.32%	—	×0.720	—	×0.985	0.93%
Singles /BIP	32.31%	÷1.000	×0.820	×1.032	×0.985	26.92%
Doubles /BIP	10.77%	÷1.000	×0.720	×1.032	×0.985	7.88%
Triples /BIP	0.00%	÷1.000	×0.720	×1.032	×0.985	0.00%
Home runs /BIP	10.77%	÷1.000	×0.780	—	×0.985	8.27%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .413 → .267; ISO .233 → .148; BABIP .467 → .365. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL LAD Bautista · 140 PAwOBA .376 → .226 (−150)K% 28.6% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.007	×1.220	—	—	34.62%
BB% (unintentional) /PA	21.43%	÷1.022	×0.700	—	×0.985	14.46%
HBP% /PA	1.43%	—	×0.700	—	×0.985	0.98%
Singles /BIP	19.12%	÷1.031	×0.680	×0.965	×0.985	11.98%
Doubles /BIP	8.82%	÷1.093	×0.600	×0.965	×0.985	4.60%
Triples /BIP	1.47%	÷1.150	×0.600	×0.965	×0.985	0.73%
Home runs /BIP	7.35%	÷1.075	×0.470	—	×0.985	3.17%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 106, 2B 119, 3B 130, K 101, BB 104 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .376 → .226; ISO .213 → .101; BABIP .317 → .179. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL LAD Mega · 126 PAwOBA .318 → .192 (−126)K% 38.9% → 47.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.89%	÷0.994	×1.220	—	—	47.73%
BB% (unintentional) /PA	17.46%	÷1.030	×0.700	—	×0.995	11.80%
HBP% /PA	3.17%	—	×0.700	—	×0.995	2.21%
Singles /BIP	25.49%	÷0.988	×0.680	×0.977	×0.995	17.04%
Doubles /BIP	3.92%	÷0.953	×0.600	×0.977	×0.995	2.40%
Triples /BIP	0.00%	÷1.079	×0.600	×0.977	×0.995	0.00%
Home runs /BIP	7.84%	÷1.095	×0.470	—	×0.995	3.35%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 98, 2B 91, 3B 116, K 99, BB 106 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .318 → .192; ISO .140 → .060; BABIP .319 → .201. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL LAD Mega · 89 PAwOBA .300 → .200 (−99)K% 37.1% → 46.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.08%	÷0.978	×1.220	—	—	46.27%
BB% (unintentional) /PA	20.22%	÷1.050	×0.700	—	×1.008	13.59%
HBP% /PA	2.25%	—	×0.700	—	×1.008	1.58%
Singles /BIP	31.43%	÷0.998	×0.680	—	×1.008	21.59%
Doubles /BIP	2.86%	÷0.985	×0.600	—	×1.008	1.75%
Triples /BIP	2.86%	÷0.937	×0.600	—	×1.008	1.84%
Home runs /BIP	0.00%	÷1.325	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 165, 1B 100, 2B 97, 3B 87, K 96, BB 110 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .300 → .200; ISO .044 → .027; BABIP .361 → .245. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#3Ryan 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
#4Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,509	34	32	195	277	317	+16	+15	0.6	0.7
/162	664	15	14	+7.1	+6.6	0.3	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#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
Daniel Mielcarek (OGILVIE)	21	20→25	43→48	52→57	70	176/262/273	97	265	1	2	35%	9%	55	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7
✕C.J. Beatty 2010 · A	21	40	41→45	52→40	41	198/252/295	98	278	9	9	31%	6%	54	-2.0	210/271/325	115	299	9	5	31%	7%	68	-1.0	202/267/333	131	282	11	2	30%	8%	65	-0.7
✕Nomar Fana 2024 · A	21	39	38→50	47→50	44	187/258/266	79	280	6	11	33%	8%	51	-2.3	182/260/291	109	294	12	12	39%	9%	57	-1.8	154/241/265	110	245	14	14	40%	10%	43	-1.3
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕Adrian Placencia 2024 · AA	21	41	43→45	48→50	47	191/287/297	106	311	11	15	38%	11%	70	-0.9	180/282/298	118	306	13	9	41%	11%	68	-1.0	155/270/277	121	264	14	6	42%	12%	57	-1.2
✕Nerwilian Cedeño 2022 · A	20	39→34	40→45	51→50	46	187/269/284	97	284	6	7	34%	9%	59	-1.7	196/267/306	110	300	10	12	35%	8%	63	-1.4	181/253/289	107	271	10	12	35%	8%	51	-1.3
✕Flemin Bautista 2021 · A	21	39	43→50	50	41	192/261/307	115	295	11	12	37%	8%	61	-1.5	190/255/279	89	316	7	5	39%	7%	52	-2.2	139/214/212	73	235	7	0	41%	8%	22	-1.4
✕Robert Moore 2023 · A	21	43→44	42→45	50	43	209/276/314	105	289	9	13	30%	7%	68	-1.0	203/267/302	99	265	8	15	25%	7%	61	-1.5	196/264/316	120	235	12	13	22%	7%	62	-0.9
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Marcus Littlewood 2013 · A	21	41	40→45	48→45	41	200/252/291	91	274	8	7	29%	6%	53	-2.1	200/269/308	108	272	9	5	28%	9%	64	-1.3	207/274/317	110	265	10	4	25%	8%	65	-0.6
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Cristian Santana 2024 · A	20	30→20	43→45	43→45	51	156/285/259	103	241	11	8	36%	12%	63	-1.4	160/286/290	130	238	16	6	37%	13%	70	-0.9	140/273/279	139	188	20	5	36%	13%	62	-0.8
✕Jonathan Mejía 2024 · A	19	35	39→45	52→50	47	168/269/256	88	264	6	9	35%	10%	53	-2.1	183/267/281	98	305	9	15	39%	9%	58	-1.7	169/262/280	111	278	11	16	40%	10%	54	-0.9

Daniel Mielcarek

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps