Franco Willias

IF DSL Giants Black

Age 22 R/R 6'0" / 184 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1796ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Giants Or…	154	.260/.362/.420	3	8	34	—	.165/.270/.263
2025	20	ROKDSL Giants Or…	134	.281/.388/.412	3	11	40	—	.161/.261/.220
2026	21	ROKDSL Giants Bl…	233	.406/.520/.606	5	34	99	—	.266/.381/.383
2027PROJMLE	22	MLBSF	343	.225/.295/.323	4	9	76	0.0
2028PROJ34% MLB	23	MLBSF	55	.225/.295/.327	1	2	80	0.0
2029PROJ46% MLB	24	MLBSF	109	.227/.297/.335	2	3	83	0.0

Next 3 projected WAR 0.1Projected 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

Speed99

wOBA98

wRC+97

K%89

ISO83

Whiff%63

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

CompsEvan Crawford (age 22) · Jonah Cox (age 22) · Brandon Lockridge (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 126 proj PA

wRC+†76

AVG/OBP/SLG.223 / .293 / .320

PA126

HR2

K%25

BB%7

ISO98

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 64 / POW 40

Toolsscout grade

CONTACT64

scouting grade only

POWER40

scouting grade only

EYE51

scouting grade only

SPEED69

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		$0.0M	+$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. 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)
2024	19	ROK	DSL Giants Orange	—	154	131	34	8	2	3	7	34	14	8	5	260	362	420	782	160	326	22	5	350	34	—	—	—	—	—	—
2025	20	ROK	DSL Giants Orange	—	134	114	32	4	1	3	12	22	8	11	1	281	388	412	800	132	326	16	9	365	40	—	—	—	—	—	—
2026	21	ROK	DSL Giants Black	—	233	180	73	11	5	5	26	30	17	34	6	406	520	606	1.126	200	450	13	11	473	99	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	DSL Giants Orange	—	154	133	22	5	1	2	5	41	14	8	5	165	270	263	533	98	204	27	3	219	34	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Orange	—	134	118	19	2	1	1	8	28	8	11	1	161	261	220	482	59	204	21	6	227	40	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	233	188	50	7	3	3	18	37	17	34	6	266	381	383	764	117	274	16	8	315	99	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Orange	—	154	133	22	5	1	2	5	41	14	8	5	165	270	263	533	98	220	27	3	219	34	—	—	—	—	—	—
2024	19	ROK RAW	DSL Giants Orange	—	154	131	34	8	2	3	7	34	14	8	5	260	362	420	782	160	326	22	5	350	34	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Orange	—	134	118	19	2	1	1	8	28	8	11	1	161	261	220	482	59	202	21	6	227	40	—	—	—	—	—	—
2025	20	ROK RAW	DSL Giants Orange	—	134	114	32	4	1	3	12	22	8	11	1	281	388	412	800	132	326	16	9	365	40	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	233	188	50	7	3	3	18	37	17	34	6	266	381	383	764	117	305	16	8	315	99	—	—	—	—	—	—
2026	21	ROK RAW	DSL Giants Black	—	233	180	73	11	5	5	26	30	17	34	6	406	520	606	1.126	200	450	13	11	473	99	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Orange	—	154	134	22	5	1	2	5	41	14	8	5	164	270	261	531	97	204	27	3	219	34	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Orange	—	134	117	19	2	1	1	8	28	8	11	1	162	261	222	483	60	204	21	6	227	40	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	233	196	50	7	3	3	18	37	17	34	6	255	381	367	749	112	274	16	8	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Giants Orange	—	154	134	22	5	1	2	5	41	14	8	5	164	270	261	531	97	204	27	3	219	34	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Orange	—	134	117	19	2	1	1	8	28	8	11	1	162	261	222	483	60	204	21	6	227	40	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	233	196	50	7	3	3	18	37	17	34	6	255	381	367	749	112	274	16	8	315	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SF	0%	343	309	70	12	3	4	23	87	8	9	2	225	295	323	618	98	296	25	7	281	76	-10	+1	+0	+0	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SF	34%	159	143	32	5	1	2	11	40	4	4	1	228	298	334	632	106	297	25	7	286	80	-4	+0	+0	+0	+3	0.0
2029	24	MLB MLE	SF	46%	237	214	49	8	2	4	16	59	5	7	1	231	301	343	644	112	297	25	7	291	83	-5	+1	+0	+0	+5	0.1
2030	25	MLB MLE	SF	52%	301	270	63	11	3	5	21	74	7	9	2	232	302	348	651	116	297	25	7	294	85	-5	+1	+0	+0	+7	0.2
2031	26	MLB MLE	SF	54%	345	311	72	12	3	6	24	85	7	10	2	233	303	352	656	120	297	25	7	295	86	-6	+1	+0	+0	+7	0.3
2032	27	MLB MLE	SF	54%	363	327	76	13	3	7	26	89	7	10	2	232	303	352	656	120	296	25	7	295	86	-6	+1	+0	+0	+8	0.3
2033	28	MLB MLE	SF	54%	370	334	77	13	3	7	26	92	7	10	2	231	301	348	649	117	295	25	7	293	84	-7	+1	-1	+0	+8	0.2
2034	29	MLB MLE	SF	53%	365	329	75	13	3	6	26	92	7	9	2	228	299	342	640	113	294	25	7	289	82	-8	+1	-1	+0	+8	-0.0
2035	30	MLB MLE	SF	52%	358	323	73	12	3	6	25	91	7	8	2	225	295	334	629	108	292	25	7	285	79	-9	+1	-2	+0	+8	-0.3
2028	23	MLB CTX	SF	34%	55	50	11	2	0	1	4	14	1	2	0	225	295	327	622	102	293	25	7	282	80	-1	+0	+0	+0	+1	0.0
2029	24	MLB CTX	SF	46%	109	99	23	4	1	2	7	27	2	3	1	227	297	335	632	108	293	25	6	286	83	-2	+0	+0	+0	+2	0.0
2030	25	MLB CTX	SF	52%	155	140	32	5	1	3	11	38	3	4	1	228	299	340	639	112	293	25	7	289	85	-3	+0	+0	+0	+3	0.1
2031	26	MLB CTX	SF	54%	187	168	39	7	2	3	13	46	4	5	1	229	300	344	644	115	293	25	7	291	86	-3	+1	+0	+0	+4	0.2
2032	27	MLB CTX	SF	54%	197	177	40	7	2	3	14	48	4	6	1	228	300	344	644	115	292	24	7	290	86	-3	+1	+0	+0	+4	0.2
2033	28	MLB CTX	SF	54%	201	181	41	7	2	3	14	50	4	5	1	227	298	339	637	113	291	25	7	288	84	-4	+1	-0	+0	+4	0.1
2034	29	MLB CTX	SF	53%	194	174	39	7	1	3	14	49	4	5	1	224	295	333	628	109	290	25	7	284	82	-4	+1	-1	+0	+4	-0.0
2035	30	MLB CTX	SF	52%	188	169	37	6	1	3	13	48	4	4	1	222	292	326	618	104	288	26	7	280	79	-5	+0	-1	+0	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1286	1158	262	45	10	21	90	320	26	34	7	226	297	337	633	111	292	25	7	287	80	-25	+4	-2	+0	+28	0.4
/ 162G	—	A+C		—	650	585	133	23	5	11	45	162	13	17	4	227	297	340	637	113	293	25	7	287	80	-13	+2	-1	+0	+14	0.2
Career	—	MLE		—	3145	2804	634	105	27	51	214	760	93	123	27	226	302	337	640	111	289	24	7	286	80	-53	+8	-4	+0	+57	0.7
/ 162G	—	MLE		—	650	580	132	22	6	11	44	157	19	25	6	228	303	343	646	116	290	24	7	286	80	-13	+2	-1	+0	+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 DSLDSL Giants Black · 233 PAwOBA .474 → .315 (−159)K% 12.9% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.88%	÷1.000	×1.220	—	—	15.71%
BB% (unintentional) /PA	11.16%	÷1.000	×0.700	—	×0.975	7.62%
HBP% /PA	7.30%	—	×0.700	—	×0.975	4.98%
Singles /BIP	34.67%	÷1.000	×0.680	×0.957	×0.975	22.01%
Doubles /BIP	7.33%	÷1.000	×0.600	×0.957	×0.975	4.11%
Triples /BIP	3.33%	÷1.000	×0.600	×0.957	×0.975	1.87%
Home runs /BIP	3.33%	÷1.000	×0.470	—	×0.975	1.53%

Factors used: level-wide DSL 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 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.

Result: wOBA .474 → .315; ISO .200 → .115; BABIP .450 → .274. 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 Giants Orange · 134 PAwOBA .356 → .227 (−130)K% 16.4% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.42%	÷0.972	×1.220	—	—	20.60%
BB% (unintentional) /PA	8.96%	÷0.974	×0.700	—	×0.985	6.34%
HBP% /PA	5.97%	—	×0.700	—	×0.985	4.12%
Singles /BIP	26.09%	÷0.995	×0.680	×0.954	×0.985	16.74%
Doubles /BIP	4.35%	÷0.933	×0.600	×0.954	×0.985	2.63%
Triples /BIP	1.09%	÷0.900	×0.600	×0.954	×0.985	0.68%
Home runs /BIP	3.26%	÷0.963	×0.470	—	×0.985	1.57%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 99, 2B 87, 3B 80, K 94, BB 95 — 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 ×0.954.

Result: wOBA .356 → .227; ISO .132 → .070; BABIP .326 → .204. 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 Giants Orange · 154 PAwOBA .343 → .219 (−124)K% 22.1% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.08%	÷1.001	×1.220	—	—	26.92%
BB% (unintentional) /PA	4.55%	÷0.982	×0.700	—	×0.995	3.22%
HBP% /PA	9.09%	—	×0.700	—	×0.995	6.33%
Singles /BIP	21.65%	÷0.972	×0.680	×0.950	×0.995	14.31%
Doubles /BIP	8.25%	÷0.982	×0.600	×0.950	×0.995	4.76%
Triples /BIP	2.06%	÷0.971	×0.600	×0.950	×0.995	1.20%
Home runs /BIP	3.09%	÷0.914	×0.470	—	×0.995	1.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — 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 ×0.950.

Result: wOBA .343 → .219; ISO .160 → .089; BABIP .326 → .204. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.1	1,412	24	38	231	298	345	+0	+0	1.4	1.4
/162	664	11	18	+0.0	+0.0	0.7	pk7: 1
#5Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	pk7: 1
#6Joe McEwing'98-'06 * career totals — 7 seasons, 1,963 PA	3.0	1,963	25	33	240*	289*	341*	-4	+8	-1.1	-0.3
/162	664	8	11	-1.2	+2.9	-0.4	pk7: 0

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
Franco Willias (OGILVIE)	22	59→64	35→40	64→69	51	223/293/320	97	296	2	3	25%	7%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Evan Crawford 2011 · A	22	47→57	38→40	59→55	37	221/262/311	90	311	4	17	29%	5%	60	-1.6	239/285/324	85	332	4	19	28%	4%	72	-0.7	260/305/334	74	360	2	25	26%	4%	78	-0.2
●Jonah Cox 2024 · A	22	48→58	40→45	60→65	34	220/279/313	94	351	7	25	37%	5%	69	-0.9	229/294/331	102	343	8	38	33%	7%	78	-0.3	242/304/356	114	349	9	47	31%	7%	84	+0.2
✕Brandon Lockridge 2019 · A	22	48→58	38→45	55→65	44	225/291/316	91	311	4	10	28%	7%	74	-0.6	209/258/329	120	307	11	14	34%	5%	64	-1.3	261/328/345	84	364	3	53	26%	8%	91	+0.4
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/265/295	82	297	4	14	29%	6%	59	-1.7	241/298/346	105	336	10	30	29%	7%	83	+0.1	250/304/340	90	346	8	39	28%	6%	80	-0.1
●Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	234/283/338	104	296	6	13	22%	6%	75	-0.5	221/277/278	57	300	2	21	25%	7%	59	-1.7	281/338/348	67	341	3	24	17%	7%	96	+0.7
✕Saige Jenco 2017 · A	22	52	38→40	60→50	47	242/301/332	90	317	4	21	24%	7%	80	-0.1	212/285/299	87	309	4	13	30%	9%	68	-1.0	194/276/274	79	290	3	12	31%	10%	56	-0.9
✕Gorkys Hernández 2009 · A	21	52→60	39→45	57→55	44	247/294/342	95	309	6	22	21%	6%	80	-0.2	259/304/338	79	352	3	17	26%	6%	82	+0.0	252/308/366	115	311	11	16	22%	7%	91	+0.5
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/299/321	78	309	3	20	21%	6%	77	-0.3	225/271/288	63	293	2	11	23%	4%	59	-1.7	271/323/338	67	341	3	10	20%	5%	87	+0.2
✕Ryan Brett 2013 · A	21	51→58	39→45	59→60	45	241/287/334	93	297	6	27	20%	6%	76	-0.4	253/293/362	109	307	8	23	20%	5%	84	+0.2	256/293/368	112	307	9	21	19%	4%	82	+0.0
✕Tyler Goeddel 2014 · A	21	44→52	41→45	59→55	40	211/262/313	103	297	7	20	30%	6%	61	-1.5	227/284/341	114	305	9	18	27%	7%	76	-0.4	229/290/345	116	300	9	18	25%	7%	78	-0.2
✕Darnell Sweeney 2013 · A	22	49→51	41→50	58→55	46	236/292/339	103	298	8	21	23%	7%	79	-0.2	232/286/361	129	319	10	22	29%	7%	82	-0.0	230/286/363	133	314	11	23	29%	7%	80	-0.1
✕Hoy Park 2018 · A	22	44→52	39→45	58→55	46	208/280/301	93	279	6	17	26%	8%	66	-1.1	228/306/313	85	303	5	16	24%	9%	78	-0.3	234/324/332	98	306	8	17	24%	11%	88	+0.3
●Ezequiel Carrera 2009 · A	22	50→60	39→45	57→60	46	235/297/328	93	300	6	20	23%	7%	78	-0.3	268/329/345	77	338	3	25	20%	8%	93	+0.8	279/339/344	65	344	2	32	18%	7%	94	+0.7
●Juan Lagares 2011 · A	22	50→60	40→45	55→50	36	240/261/336	97	297	7	16	22%	2%	65	-1.2	269/299/378	109	338	7	14	22%	4%	90	+0.6	276/309/387	111	347	6	13	22%	4%	93	+0.7
✕Darin Mastroianni 2009 · A	23	41→51	38→40	60	41	200/252/275	76	276	5	22	29%	6%	49	-2.4	251/316/325	74	320	3	35	21%	8%	84	+0.2	261/328/336	76	325	2	38	19%	9%	88	+0.4
✕Garrett Hampson 2018 · A	23	53→57	38→45	59→60	47	252/301/339	87	309	5	28	20%	6%	82	-0.0	247/300/356	109	317	9	27	23%	7%	85	+0.2	244/299/360	116	315	10	29	25%	7%	85	+0.2
✕Nick Morabito 2024 · A	21	48→58	37→40	55→65	44	217/297/293	76	324	4	18	32%	8%	71	-0.8	250/316/335	85	345	6	36	27%	7%	87	+0.4	255/322/343	88	346	7	42	26%	7%	88	+0.4
●Andrew Toles 2014 · A	22	53→62	40→45	62→60	35	251/278/364	113	336	5	29	27%	3%	78	-0.3	253/286/361	108	329	6	26	24%	4%	81	-0.1	279/314/423	145	342	13	14	22%	4%	104	+0.8
✕Austin Wates 2012 · A	23	51→58	39→40	54→55	44	245/295/332	87	302	6	16	21%	6%	78	-0.3	257/312/346	89	321	6	24	20%	6%	88	+0.4	268/327/353	85	334	4	33	20%	6%	91	+0.4
✕Chandler Simpson 2023 · A	22	48→58	38→30	56→70	48	226/293/312	85	299	4	17	24%	8%	73	-0.6	267/311/317	50	307	1	59	12%	6%	80	-0.2	302/334/348	46	335	0	63	9%	5%	94	+0.8

Franco Willias

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps