Jace LaViolette

OF Lake County Captains

Age 23 L/L 6'6" / 228 lbs A+ Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP35OGV rank#1136ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	AA/A+CLE	512	.225/.328/.464	27	16	54	—	.159/.242/.318
2027PROJMLE	23	MLBCLE	1	.203/.280/.375	0	0	84	-0.0
2028PROJ30% MLB	24	MLBCLE	146	.208/.285/.384	6	3	88	0.1
2029PROJ44% MLB	25	MLBCLE	233	.211/.288/.390	9	5	90	0.2

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

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$2M2032Arb-2$2M2033Arb-3$2M

Skills · percentileMiLB Statcast 2026 AA

Speed98

ISO93

BB%67

Chase%52

wRC+46

Whiff%44

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 98%

CompsNick Pratto (age 23) · Alex Binelas (age 23) · Alexander Canario (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†84

AVG/OBP/SLG.203 / .280 / .375

PA1

HR0

K%36

BB%9

BABIP283

ISO176

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$0M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2030	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2031	Arb-1	$2M	+0.3	$0.9M	+$0.0M (cut)
2032	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-3	$2M	—	—	—
Totals		$2M		$3M	+$0.4M

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)
2026	22	AA	Akron RubberDucks	—	124	108	20	3	1	8	15	48	0	5	0	185	285	454	738	269	226	39	12	321	49	—	—	—	—	—	—
2026	22	A+	Lake County Captains	—	388	332	79	15	2	19	47	147	6	11	2	238	342	467	809	229	359	38	12	356	56	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	AA MLE	Akron RubberDucks	—	124	112	16	2	1	6	11	59	0	5	0	143	220	339	559	196	204	48	9	240	49	—	—	—	—	—	—
2026	22	A+ MLE	Lake County Captains	—	388	347	57	10	1	13	33	187	6	11	2	164	249	311	560	147	296	48	9	251	56	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	512	459	73	12	2	19	44	245	6	16	2	159	242	318	560	159	274	48	9	248	54	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	512	440	99	18	3	27	62	195	6	16	2	225	328	464	792	239	327	38	12	348	54	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	512	457	73	12	2	19	44	245	6	16	2	160	242	319	561	160	274	48	9	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A+ MLE	2 teams	—	512	457	73	12	2	19	44	245	6	16	2	160	242	319	561	160	274	48	9	248	54	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CLE	0%	622	557	114	20	3	24	54	221	6	13	2	203	280	377	657	173	283	36	9	292	84	-12	+2	+0	-4	+13	0.1
▸ 2027 — real world (MLB)
2027	23	MLB CTX	CLE	0%	1	1	0	0	0	0	0	0	0	0	0	203	280	375	656	172	283	0	0	292	84	-0	+0	+0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CLE	30%	483	434	90	16	2	19	42	168	4	11	2	208	285	386	670	178	284	35	9	298	88	-7	+1	+1	-3	+10	0.2
2029	25	MLB MLE	CLE	44%	527	471	100	17	3	21	46	179	5	12	2	211	288	391	679	180	285	34	9	301	90	-6	+2	+1	-3	+11	0.4
2030	26	MLB MLE	CLE	51%	550	492	105	18	3	22	48	184	5	12	2	213	290	394	683	181	285	33	9	303	91	-6	+2	+1	-3	+12	0.5
2031	27	MLB MLE	CLE	52%	557	498	107	19	3	22	49	184	5	12	2	213	290	392	682	178	285	33	9	303	91	-6	+2	+1	-3	+12	0.5
2032	28	MLB MLE	CLE	53%	557	498	106	19	2	21	49	182	5	11	2	213	290	388	678	175	284	33	9	301	90	-7	+1	-0	-3	+12	0.3
2033	29	MLB MLE	CLE	53%	547	489	102	18	2	20	48	180	5	10	2	211	287	381	668	171	282	33	9	297	87	-8	+1	-1	-3	+12	0.1
2034	30	MLB MLE	CLE	52%	537	481	100	18	2	19	47	179	4	9	2	207	283	373	657	166	280	33	9	293	84	-10	+1	-2	-3	+12	-0.2
2028	24	MLB CTX	CLE	30%	146	131	28	5	1	6	13	51	1	3	1	208	285	384	669	177	284	35	9	297	88	-2	+0	+0	-1	+3	0.1
2029	25	MLB CTX	CLE	44%	233	209	44	8	1	9	20	79	2	5	1	211	288	390	677	179	285	34	9	301	90	-3	+1	+0	-1	+5	0.2
2030	26	MLB CTX	CLE	51%	279	249	53	10	1	11	25	93	3	6	1	213	290	392	682	180	285	33	9	303	91	-3	+1	+0	-2	+6	0.3
2031	27	MLB CTX	CLE	52%	292	261	55	10	1	11	26	96	3	6	1	213	290	390	681	177	285	33	9	302	91	-3	+1	+0	-2	+6	0.3
2032	28	MLB CTX	CLE	53%	297	266	56	10	1	11	26	97	3	6	1	213	290	387	677	174	284	33	9	301	90	-4	+1	-0	-2	+6	0.2
2033	29	MLB CTX	CLE	53%	287	258	55	10	1	11	25	95	2	5	1	211	287	380	667	170	283	33	9	297	87	-4	+1	-0	-2	+6	0.0
2034	30	MLB CTX	CLE	52%	280	252	52	9	1	10	24	93	2	5	1	208	283	373	656	165	280	33	9	292	84	-5	+1	-1	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1814	1626	343	62	7	69	159	604	16	36	7	211	288	385	673	174	285	33	9	299	85	-24	+4	-0	-11	+39	0.9
/ 162G	—	A+C		—	650	583	123	22	3	25	57	216	6	13	3	211	288	388	676	177	284	33	9	299	85	-9	+2	-0	-4	+14	0.3
Career	—	MLE		—	4480	4010	822	144	20	171	391	1576	41	97	17	205	282	379	661	174	285	35	9	293	85	-54	+10	+0	-24	+86	1.9
/ 162G	—	MLE		—	650	582	120	21	3	25	57	229	6	14	2	206	284	381	665	175	287	35	9	293	85	-9	+2	+0	-4	+14	0.3

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 A+Lake County Captains · 388 PAwOBA .348 → .251 (−96)K% 37.9% → 48.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.89%	÷1.000	×1.270	—	—	48.12%
BB% (unintentional) /PA	12.11%	÷1.000	×0.710	—	×0.998	8.58%
HBP% /PA	1.55%	—	×0.790	—	×0.998	1.22%
Singles /BIP	23.24%	÷1.000	×0.920	×0.950	×0.998	20.27%
Doubles /BIP	8.11%	÷1.000	×0.810	×0.950	×0.998	6.23%
Triples /BIP	1.08%	÷1.000	×0.850	×0.950	×0.998	0.87%
Home runs /BIP	10.27%	÷1.000	×0.800	—	×0.998	8.20%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .348 → .251; ISO .229 → .160; BABIP .359 → .296. 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).

2026 AAAkron RubberDucks · 124 PAwOBA .315 → .240 (−75)K% 38.7% → 47.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.71%	÷1.000	×1.220	—	—	47.23%
BB% (unintentional) /PA	12.10%	÷1.000	×0.700	—	×1.027	8.70%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	13.33%	÷1.000	×0.970	×0.964	×1.027	12.81%
Doubles /BIP	5.00%	÷1.000	×0.860	×0.964	×1.027	4.26%
Triples /BIP	1.67%	÷1.000	×0.950	×0.964	×1.027	1.57%
Home runs /BIP	13.33%	÷1.000	×0.780	—	×1.027	10.68%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .315 → .240; ISO .269 → .200; BABIP .226 → .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
#1Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#2Hunter Renfroelast yr '25 career totals — 9 seasons, 3,727 PA	5.6	3,727	188	15	235	297	458	-40	-32	7.3	8.0
/162	664	33	3	-7.1	-5.7	1.3	pk7: 9
#3Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
#4Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#5Cory Snyder'86-'94 * career totals — 9 seasons, 3,933 PA	5.9	3,933	149	28	243*	290*	445*	-35	-18	4.7	5.7
/162	664	25	5	-5.9	-3.0	0.8	pk7: 7
#6Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.7	1,816	69	37	212	285	388	-11	+2	1.9	1.9
/162	664	25	14	-4.0	+0.8	0.7	pk7: 2

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
Jace LaViolette (OGILVIE)	23	—	—	—	—	202/278/373	172	283	8	4	36%	9%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Pratto 2022 · AAA	23	39→45	57→55	50	44	208/292/411	203	298	24	11	37%	10%	97	+1.1	203/288/364	161	305	19	8	37%	9%	84	+0.2	191/273/326	135	293	16	8	38%	9%	70	-0.7
✕Alex Binelas 2023 · AA	23	35→44	55→50	51→50	42	196/262/374	178	265	24	7	35%	8%	78	-0.3	206/272/354	148	304	17	12	36%	8%	76	-0.4	223/304/366	143	320	18	8	34%	10%	88	+0.3
✕Alexander Canario 2023 · AAA	23	38→36	57→60	53→50	40	208/269/403	195	282	26	17	36%	7%	86	+0.3	218/281/392	174	310	22	11	35%	8%	88	+0.5	212/277/371	159	303	20	8	35%	8%	80	-0.1
✕Jace Jung 2024 · AA	23	43→44	52→50	48→40	48	220/300/383	163	290	20	5	30%	9%	93	+0.8	216/304/368	152	282	17	4	28%	11%	91	+0.7	205/299/350	146	260	16	3	27%	11%	84	+0.1
✕Christin Stewart 2017 · AA	23	40→48	52→55	46→45	48	209/301/378	169	282	20	5	32%	10%	93	+0.8	223/297/391	168	287	20	3	28%	8%	94	+0.9	227/301/404	177	282	22	1	27%	8%	98	+1.0
✕Jesse Franklin V 2023 · AA	24	38→28	55→60	53→55	36	206/267/389	184	295	24	15	38%	6%	83	+0.1	215/279/376	161	305	20	18	35%	6%	84	+0.1	199/266/371	171	275	23	24	35%	6%	76	-0.3
✕Daniel Palka 2016 · A	24	40→43	53→55	49→50	39	210/265/384	174	293	22	11	36%	7%	80	-0.1	217/266/391	174	303	23	7	35%	6%	82	+0.0	207/274/387	180	261	25	4	31%	8%	84	+0.1
✕Wladimir Balentien 2007 · AA	23	41→48	52→60	48→50	40	212/274/383	170	300	20	10	35%	7%	84	+0.1	225/286/395	170	284	21	9	27%	8%	91	+0.6	226/288/399	173	273	21	8	25%	8%	92	+0.6
✕Corey Brown 2009 · A	23	42→49	53→55	52→50	37	213/271/384	171	322	22	10	40%	7%	82	+0.0	221/281/378	157	316	17	11	34%	7%	84	+0.2	228/289/394	166	315	19	14	32%	7%	88	+0.4
✕Drew Robinson 2017 · AAA	25	39→43	51→55	52→50	45	204/280/371	167	286	19	14	34%	9%	83	+0.1	217/293/379	162	329	18	12	36%	10%	89	+0.5	211/292/367	157	326	17	12	38%	10%	84	+0.1
●Will Benson 2022 · AAA	24	36→46	51→55	53→55	45	185/276/351	167	287	19	15	40%	11%	78	-0.3	224/324/396	172	324	17	22	33%	12%	105	+1.7	224/328/404	179	321	17	26	32%	12%	107	+1.3
✕Bobby Bradley 2019 · AAA	23	40→44	56→65	46→40	41	214/276/404	190	283	24	3	33%	7%	89	+0.5	218/280/433	215	301	30	3	37%	7%	98	+1.2	190/259/397	207	265	30	0	40%	7%	81	-0.0
✕Addison Barger 2023 · AAA	23	45→49	53→55	46→45	39	228/286/397	168	324	21	7	35%	6%	91	+0.7	226/292/382	156	293	18	7	28%	8%	90	+0.6	222/291/386	164	273	18	6	25%	8%	89	+0.4
✕Jordan Beck 2024 · AA	23	43→49	51→50	50	46	220/290/383	163	296	19	13	31%	9%	89	+0.5	226/286/364	138	314	14	16	31%	8%	83	+0.1	224/283/356	132	309	13	18	30%	7%	80	-0.1
✕Justin Nelson 2006 · A	23	43→41	52→55	47→45	45	225/290/398	173	287	19	10	28%	8%	93	+0.8	212/282/387	175	300	20	6	34%	8%	87	+0.4	202/277/382	179	287	21	3	36%	8%	83	+0.1
✕Austin Wells 2023 · AA	24	43→44	52→55	57→50	48	221/305/386	165	294	19	14	30%	10%	96	+1.0	218/292/386	168	268	20	8	26%	9%	91	+0.7	211/285/386	175	250	21	5	25%	8%	89	+0.4
●Jack Suwinski 2022 · AA	24	42→43	51→60	45→50	46	210/291/368	158	305	19	9	36%	10%	86	+0.3	213/300/408	195	286	26	11	33%	10%	99	+1.3	203/291/399	196	263	27	11	33%	10%	94	+0.8
✕Keegan McGovern 2019 · A	23	44	53→60	47→30	40	226/281/397	171	308	21	5	33%	6%	89	+0.5	198/272/350	152	314	19	5	41%	7%	76	-0.4	158/248/298	139	264	19	5	44%	8%	53	-0.8
✕Steven Moya 2015 · AA	23	43→46	55→60	51→50	32	227/256/411	184	314	23	11	35%	3%	83	+0.1	221/251/392	171	304	22	6	34%	4%	76	-0.4	209/240/372	162	284	22	4	35%	4%	65	-1.0
✕Parker Meadows 2023 · AA	23	42→48	48→55	52→55	44	215/274/360	145	274	16	12	28%	7%	78	-0.3	228/295/388	160	293	16	20	27%	8%	92	+0.7	227/300/392	165	291	17	22	27%	9%	94	+0.7

Jace LaViolette

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps