Frank Mieses — OGILVIE

Frank MiesesOF ACL White Sox

Age 18 R/R 6'1" / 170 lbs ROK HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION66 act + 11 ros · stats below = ROS only

showingROS

wRC+†45

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%36

BB%9

BABIP277

ISO85

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED50

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	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
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)
2025	17	ROK	DSL White Sox	—	161	130	37	4	2	3	22	39	7	8	3	285	415	415	830	131	378	24	14	375	140	+8	+0	—	—	+3	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL White Sox	—	161	138	27	3	1	2	14	56	7	8	3	196	302	275	577	80	293	35	9	260	62	-7	+0	—	—	+3	-0.3
2025	17	ROK MLE	DSL White Sox	—	161	138	27	3	1	2	14	56	7	8	3	196	302	275	577	80	305	35	9	260	62	—	—	—	—	—	—
2025	17	ROK RAW	DSL White Sox	—	161	130	37	4	2	3	22	39	7	8	3	285	415	415	830	131	378	24	14	375	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL White Sox	—	161	139	27	3	1	2	14	56	7	8	3	194	302	273	575	79	293	35	9	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL White Sox	—	161	139	27	3	1	2	14	56	7	8	3	194	302	273	575	79	293	35	9	260	62	—	—	—	—	—	—
YTD	18	ROK MLE	CWS	—	66	61	5	0	0	1	5	43	0	4	3	82	152	131	283	49	235	65	8	139	-20	-9	-0	+0	-0	+1	-0.9
▸ 2026 season
YTD	18	ROK RAW	CWS	—	66	58	10	1	0	2	8	30	0	4	3	172	273	293	566	121	308	45	12	263	-20	—	—	—	—	—	—
ROS	18	ROK MLE	CWS	0%	11	10	1	0	0	0	1	4	0	0	0	100	182	100	282		276	36	9	234	45	-1	+0	+0	-0	+0	-0.1
TOT	18	ROK MLE	CWS	—	77	71	6	0	0	1	6	47	0	4	3	85	156	127	283	42	217	61	8	153	-11	-10	-0	+0	-0	+2	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CWS	34%	222	200	37	6	1	3	17	77	3	4	1	185	259	270	529	85	282	35	8	249	55	-12	+0	+0	-1	+5	-0.8
2027	19	MLB CTX	CWS	34%	76	69	12	2	0	1	6	26	1	1	0	174	250	246	496	72	283	34	8	240	55	-4	+0	+0	-0	+2	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	76	69	12	2	0	1	6	26	1	1	0	174	250	246	496	72	262	34	8	240	58	-4	+0	+0	-0	+2	-0.3
/ 162G	—	A+C		—	650	590	103	17	0	9	51	222	9	9	0	175	251	249	500	75	262	34	8	240	58	-35	+2	+0	-4	+14	-2.3
Career	—	MLE		—	394	348	65	9	2	5	32	137	10	12	4	187	274	267	542	80	287	35	8	253	58	-13	+0	+0	-1	+5	-0.9
/ 162G	—	MLE		—	650	574	107	15	3	8	53	226	16	20	7	186	274	265	539	78	287	35	8	253	58	-35	+1	+0	-4	+14	-2.4

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
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	210	3	4	193	262	282	-1	+0	-0.6	-0.3
/162	664	9	12	-4.0	+0.0	-2.0	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
Frank Mieses (OGILVIE)	18	40	30	50	50	177/248/256	79	276	2	3	36%	7%	45	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Erick Torres 2023 · A	18	42→41	40→30	50	44	203/268/290	87	267	7	14	26%	7%	59	-1.6	207/268/275	68	264	4	14	22%	6%	55	-1.9	200/260/255	55	253	3	15	21%	6%	45	-1.7
✕Samuel Gil 2023 · A	18	43→44	38→30	52→50	45	203/269/290	87	274	5	9	26%	7%	59	-1.6	208/284/274	66	286	3	8	26%	9%	61	-1.5	200/288/251	51	271	2	9	24%	10%	56	-1.0
✕Roger Avello 2013 · A	18	41	38→30	50	42	197/263/274	77	286	5	10	31%	7%	53	-2.1	201/258/260	59	288	2	13	29%	6%	48	-2.5	199/252/244	45	279	0	18	27%	5%	39	-0.9
✕Juan Bidau 2018 · A	18	43	38→30	51→45	45	205/264/288	83	267	5	10	24%	7%	57	-1.8	200/272/268	68	246	3	8	18%	8%	56	-1.9	187/267/247	59	225	2	7	16%	8%	49	-0.9
✕Marco Soto 2022 · A	18	41	36→30	52→50	42	194/263/258	64	277	3	10	29%	6%	51	-2.3	201/256/257	56	270	2	8	25%	5%	47	-2.5	183/237/221	38	251	1	8	26%	5%	30	-0.9
✕Curtney Doran 2010 · A	18	39	37→30	51→55	48	184/277/259	75	284	4	16	34%	10%	57	-1.8	188/294/266	78	272	4	10	29%	12%	65	-1.2	154/290/223	68	217	3	8	26%	15%	55	-0.9
✕Angel Jimenez 2013 · A	18	41	40	50	46	197/271/292	95	275	8	10	30%	9%	61	-1.5	201/274/294	93	261	8	12	25%	8%	63	-1.3	190/263/280	89	241	8	13	23%	7%	53	-0.8
✕Mc Gregory Contreras 2017 · A	18	43	38→40	51→50	45	199/283/285	86	299	4	9	32%	9%	64	-1.3	198/254/287	89	331	6	7	39%	6%	53	-2.1	174/214/258	83	318	7	3	46%	4%	28	-1.1
✕Rafael Mejia 2016 · A	18	42	40	48→50	45	201/276/291	89	275	7	9	28%	8%	63	-1.4	188/232/293	105	266	11	7	33%	4%	46	-2.6	170/192/289	119	238	15	5	36%	2%	27	-0.9
✕Adalfi Almonte 2014 · A	18	39	41→40	51→50	47	187/275/288	101	276	7	11	32%	10%	62	-1.4	191/286/274	83	275	6	12	30%	9%	64	-1.3	175/285/243	68	254	5	14	29%	10%	55	-0.6
✕Jhonny Gomez 2008 · A	18	38	37→30	46→40	41	181/251/253	72	291	5	11	37%	8%	45	-2.7	205/281/265	60	275	3	7	24%	8%	59	-1.7	216/292/264	48	282	2	5	22%	8%	60	-0.5
✕Antonio Tovar 2014 · A	18	40	34→30	53→45	47	187/263/237	50	262	2	14	27%	9%	45	-2.7	205/274/264	59	266	2	10	22%	8%	55	-1.9	206/272/262	56	259	3	9	20%	8%	53	-0.9
✕Angel Molina 2016 · A	18	42	39→40	48→55	41	204/267/291	87	272	7	10	27%	6%	59	-1.6	187/233/272	85	237	7	11	24%	4%	42	-2.9	160/197/238	78	194	8	14	22%	3%	19	-1.6
✕Olivber Moreno 2019 · A	18	40	36→40	52→50	41	192/248/253	61	272	3	13	29%	6%	43	-2.8	198/268/274	76	279	6	11	29%	7%	56	-1.9	203/284/283	80	254	7	13	21%	8%	61	-0.7
✕Angel Solarte 2019 · A	18	40	37→30	49→45	39	191/240/267	76	264	4	8	28%	5%	43	-2.8	202/247/284	82	281	6	8	29%	5%	49	-2.4	198/249/260	62	286	4	8	30%	5%	43	-1.3
✕Estarlyn Morales 2011 · A	18	39→40	38→40	47→50	40	185/258/264	79	296	5	8	37%	8%	50	-2.3	192/254/267	75	241	5	8	21%	7%	49	-2.4	199/257/294	95	251	8	13	23%	7%	55	-0.8
✕Santiago Millan 2022 · A	19	43	38→30	46→50	43	206/272/280	73	281	7	11	28%	7%	59	-1.7	193/256/284	91	323	9	9	40%	7%	53	-2.1	131/206/243	112	229	14	8	47%	8%	25	-0.9
✕Yovanny Cuevas 2016 · A	18	42	38→30	49→50	43	200/268/286	85	273	4	11	27%	7%	59	-1.7	187/265/260	73	248	4	14	24%	8%	52	-2.2	173/264/243	69	230	6	17	25%	8%	46	-0.8
✕Daniel Vazquez 2022 · A	18	38→47	37→30	52→55	39	179/240/251	72	288	5	8	37%	7%	40	-3.1	175/233/220	45	286	2	13	36%	7%	29	-3.8	207/263/263	57	304	2	16	31%	7%	49	-1.8
✕Luis Verdugo 2019 · A	18	35→45	40	46→45	39	178/229/261	83	255	8	7	32%	6%	38	-3.2	194/239/284	90	275	8	8	31%	5%	47	-2.6	195/248/285	89	265	7	5	28%	6%	48	-1.2

Career Stats + Projections

Career Comps

Career Path Comps