Landyn Vidourek

OF Fresno Grizzlies

Age 23 L/R 6'1" / 192 lbs A HR +30%H +12% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ALAA	74	.313/.378/.463	1	3	60	—	.232/.284/.348
2026	22	ACOL	409	.158/.319/.294	9	16	19	—	.102/.221/.184
2027PROJMLE	23	MLBCOL	487	.184/.283/.296	9	10	67	-0.3
2028PROJ30% MLB	24	MLBCOL	100	.202/.298/.344	3	2	73	-0.1
2029PROJ44% MLB	25	MLBCOL	166	.208/.302/.361	5	4	78	-0.1

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Ext$0.2M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 A

BB%91

Chase%86

Speed65

ISO52

Z-Con%24

wOBA21

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

CompsGabriel Rincones Jr. (age 23) · Gavin Cross (age 23) · Brian O'Grady (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†67

AVG/OBP/SLG.182 / .280 / .293

PA210

HR4

K%35

BB%11

ISO112

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$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)
2025	21	A	Rancho Cucamonga Quakes	—	74	67	21	5	1	1	7	25	0	3	0	313	378	463	841	149	488	34	9	374	60	—	—	—	—	—	—
2026	22	A	Fresno Grizzlies	—	409	330	52	14	2	9	76	150	2	16	7	158	319	294	613	136	251	37	19	291	19	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Rancho Cucamonga Quakes	—	74	69	16	3	1	1	5	34	0	3	0	232	284	348	632	116	426	46	7	257	60	—	—	—	—	—	—
2026	22	A MLE	Fresno Grizzlies	—	409	354	36	9	1	6	52	204	2	16	7	102	221	184	404	82	209	50	13	196	19	—	—	—	—	—	—
2025	21	A MLE	Rancho Cucamonga Quakes	—	74	69	16	3	1	1	5	34	0	3	0	232	284	348	632	116	441	46	7	257	60	—	—	—	—	—	—
2025	21	A RAW	Rancho Cucamonga Quakes	—	74	67	21	5	1	1	7	25	0	3	0	313	378	463	841	149	488	34	9	374	60	—	—	—	—	—	—
2026	22	A MLE	Fresno Grizzlies	—	409	354	36	9	1	6	52	204	2	16	7	102	221	184	404	82	208	50	13	196	19	—	—	—	—	—	—
2026	22	A RAW	Fresno Grizzlies	—	409	330	52	14	2	9	76	150	2	16	7	158	319	294	613	136	251	37	19	291	19	—	—	—	—	—	—
2025	21	A MLE	Rancho Cucamonga Quakes	—	74	69	16	3	1	1	5	34	0	3	0	232	284	348	632	116	426	46	7	257	60	—	—	—	—	—	—
2026	22	A MLE	Fresno Grizzlies	—	409	352	36	9	1	6	52	204	2	16	7	102	221	185	405	82	209	50	13	196	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Rancho Cucamonga Quakes	—	74	69	16	3	1	1	5	34	0	3	0	232	284	348	632	116	426	46	7	257	60	—	—	—	—	—	—
2026	22	A MLE	Fresno Grizzlies	—	409	352	36	9	1	6	52	204	2	16	7	102	221	185	405	82	209	50	13	196	19	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	COL	0%	487	426	78	16	2	9	55	170	3	10	3	184	283	296	578	112	277	35	11	266	67	-19	+1	+0	-3	+11	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	COL	30%	333	291	57	11	2	8	37	114	2	8	2	191	288	317	605	126	279	34	11	277	73	-11	+1	+0	-2	+7	-0.4
2029	25	MLB MLE	COL	44%	377	329	65	12	2	10	42	127	3	9	3	196	292	333	625	136	281	34	11	284	78	-10	+1	+1	-2	+8	-0.3
2030	26	MLB MLE	COL	51%	403	353	70	13	2	11	44	133	3	9	3	200	295	344	639	144	281	33	11	289	82	-9	+1	+1	-2	+9	-0.1
2031	27	MLB MLE	COL	52%	413	362	73	14	2	11	45	135	3	10	3	202	295	345	640	143	281	33	11	290	82	-9	+1	+1	-2	+9	-0.1
2032	28	MLB MLE	COL	53%	414	363	73	14	2	11	45	134	3	9	3	202	295	343	638	141	281	32	11	289	81	-9	+1	-0	-2	+9	-0.2
2028	24	MLB CTX	COL	30%	100	88	18	3	1	3	11	34	1	2	1	202	298	344	642	142	294	34	11	291	73	-3	+0	+0	-1	+2	-0.1
2029	25	MLB CTX	COL	44%	166	146	31	6	1	5	18	56	1	4	1	208	302	361	664	154	296	34	11	299	78	-4	+0	+0	-1	+4	-0.1
2030	26	MLB CTX	COL	51%	204	178	37	7	1	6	23	67	1	5	1	212	306	374	680	162	296	33	11	305	82	-4	+1	+0	-1	+4	-0.0
2031	27	MLB CTX	COL	52%	216	188	41	8	1	7	24	70	2	5	2	213	306	374	680	161	296	32	11	305	82	-5	+0	+0	-1	+5	-0.1
2032	28	MLB CTX	COL	53%	221	193	42	8	1	7	24	71	2	5	2	214	305	372	677	159	295	32	11	304	81	-5	+0	-0	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	907	793	169	32	5	28	100	298	7	21	7	213	307	372	679	159	299	33	11	302	69	-21	+1	+1	-5	+20	-0.5
/ 162G	—	A+C		—	650	568	122	23	4	20	72	214	5	15	5	215	309	375	684	160	303	33	11	302	69	-15	+1	+1	-4	+14	-0.3
Career	—	MLE		—	2633	2304	424	83	13	62	294	954	17	68	22	184	281	312	593	128	279	36	11	270	69	-55	+4	+2	-13	+47	-1.6
/ 162G	—	MLE		—	650	569	104	20	3	15	73	236	4	17	5	183	281	308	588	125	277	36	11	270	69	-17	+1	+1	-4	+14	-0.5

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 AFresno Grizzlies · 409 PAwOBA .284 → .196 (−88)K% 36.7% → 49.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.67%	÷1.000	×1.360	—	—	49.88%
BB% (unintentional) /PA	18.58%	÷1.000	×0.690	—	×0.990	12.69%
HBP% /PA	0.49%	—	×0.780	—	×0.990	0.38%
Singles /BIP	15.00%	÷1.000	×0.920	×0.953	×0.990	13.02%
Doubles /BIP	7.78%	÷1.000	×0.830	×0.953	×0.990	6.09%
Triples /BIP	1.11%	÷1.000	×0.910	×0.953	×0.990	0.95%
Home runs /BIP	5.00%	÷1.000	×0.800	—	×0.990	3.96%

Factors used: level-wide A 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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .284 → .196; ISO .136 → .091; BABIP .251 → .209. 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 ARancho Cucamonga Quakes · 74 PAwOBA .364 → .257 (−107)K% 33.8% → 46.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.78%	÷0.987	×1.360	—	—	46.55%
BB% (unintentional) /PA	9.46%	÷0.981	×0.690	—	—	6.65%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	33.33%	÷1.004	×0.920	—	—	30.54%
Doubles /BIP	11.90%	÷1.054	×0.830	—	—	9.37%
Triples /BIP	2.38%	÷1.150	×0.910	—	—	1.88%
Home runs /BIP	2.38%	÷1.055	×0.800	—	—	1.80%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .364 → .257; ISO .149 → .096; BABIP .488 → .426. 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
#1Michael 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
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#3Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#6Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.7	1,118	28	25	197	289	332	-7	+0	-0.3	-0.1
/162	664	17	15	-4.0	+0.0	-0.2	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
Landyn Vidourek (OGILVIE)	23	—	—	—	—	182/280/293	111	277	4	4	35%	11%	67	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gabriel Rincones Jr. 2024 · A	23	41→42	47→50	54→55	42	207/279/346	139	294	14	18	33%	8%	77	-0.3	212/287/351	139	290	15	20	30%	8%	81	-0.1	206/286/345	139	274	16	20	29%	8%	77	-0.2
✕Gavin Cross 2024 · A	23	37→40	47→50	55	42	190/264/327	138	277	14	18	35%	8%	68	-1.0	203/255/336	133	283	15	23	32%	6%	65	-1.2	200/247/333	133	277	16	26	33%	5%	59	-1.3
✕Brian O'Grady 2016 · A	24	39→38	43→60	54→50	47	194/271/309	115	261	10	14	28%	9%	65	-1.2	193/272/317	124	269	12	13	31%	9%	68	-1.0	212/274/402	190	276	23	15	31%	7%	87	+0.3
✕Alex Glenn 2014 · A	23	41→42	48→55	55→50	42	209/275/352	143	286	15	11	31%	7%	76	-0.4	216/263/365	149	280	15	11	28%	5%	74	-0.5	214/256/366	152	271	15	10	27%	5%	69	-0.6
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	193/274/305	112	280	11	9	33%	8%	66	-1.1	225/272/334	109	314	11	8	30%	6%	70	-0.8	237/289/332	96	308	9	3	25%	6%	75	-0.3
✕Carlos Moncrief 2012 · A	23	40→50	44→50	51→50	42	190/267/311	121	308	10	12	39%	9%	64	-1.3	217/272/361	144	317	15	12	34%	7%	77	-0.3	235/290/370	135	298	13	11	25%	7%	84	+0.1
✕Chris Meyers 2022 · A	23	40→46	41→50	51→40	45	197/266/297	101	258	8	11	26%	7%	61	-1.5	222/279/357	135	292	15	6	28%	6%	79	-0.2	226/286/369	143	292	17	3	28%	6%	81	-0.0
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1
✕Caleb Roberts 2023 · AA	23	43→46	42→50	50	44	203/288/312	110	308	9	12	34%	9%	73	-0.6	210/288/341	131	299	12	11	31%	9%	79	-0.2	201/279/334	133	279	12	10	30%	8%	72	-0.5
✕Sam Hilliard 2017 · A	23	43→49	44→55	53→55	39	209/266/328	119	321	11	16	37%	7%	67	-1.1	211/261/330	119	331	13	20	38%	6%	65	-1.2	208/281/383	175	283	19	18	32%	9%	85	+0.2
✕Imanol Vargas 2021 · A	23	42→43	44→50	46→45	47	204/287/322	118	294	12	8	32%	10%	74	-0.5	206/286/361	155	328	19	4	39%	10%	83	+0.1	198/285/355	157	311	19	2	39%	10%	79	-0.2
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	47	218/294/306	88	309	7	13	29%	9%	73	-0.6	202/287/334	132	324	13	21	38%	10%	77	-0.3	193/290/335	142	306	15	26	38%	11%	76	-0.4
✕John Rave 2022 · A	24	41→47	47→50	54→55	40	203/271/331	129	309	15	14	38%	8%	70	-0.8	215/282/343	128	303	14	15	32%	8%	77	-0.3	222/295/375	153	278	16	24	25%	9%	87	+0.3
✕Kevin Watson Jr 2023 · A	24	45	45→50	56→50	47	210/301/336	126	321	12	13	35%	10%	82	+0.0	227/301/308	81	318	5	10	27%	9%	76	-0.4	241/318/290	49	329	0	8	24%	10%	77	-0.2
✕Oliver Dunn 2022 · AA	24	39→46	44→45	53→55	46	188/273/305	116	293	11	14	37%	10%	65	-1.2	220/303/367	147	343	14	14	36%	10%	91	+0.6	203/286/331	129	310	11	20	35%	9%	73	-0.4
✕Kyle Kubitza 2013 · A	23	41→51	41→50	50	44	195/268/302	107	293	7	11	34%	9%	62	-1.4	220/295/349	129	336	9	10	34%	9%	82	+0.0	224/300/357	133	338	9	10	34%	9%	85	+0.2
✕Alex Iadisernia 2024 · A	23	38→37	46→50	52→55	43	196/263/328	132	261	14	16	30%	7%	67	-1.1	197/263/295	98	277	8	16	30%	7%	59	-1.7	178/248/250	72	257	3	19	30%	7%	42	-2.0
✕Brian Pointer 2015 · A	23	41	44→45	49→50	41	198/276/315	117	302	11	13	36%	8%	69	-0.9	220/292/351	131	322	13	11	33%	8%	82	+0.0	222/297/367	145	315	15	10	32%	9%	84	+0.1
●Ryan Schimpf 2011 · A	23	38→41	43→60	52→45	38	188/252/310	122	285	9	10	36%	6%	58	-1.7	196/271/353	157	270	17	6	32%	8%	76	-0.4	203/284/421	218	238	27	2	28%	8%	96	+0.8
✕Alerick Soularie 2022 · A	23	43	42→45	54→60	45	206/285/309	103	308	10	15	34%	9%	70	-0.8	197/279/312	115	290	12	22	34%	9%	70	-0.9	181/270/293	112	261	13	29	33%	9%	60	-0.7

Landyn Vidourek

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps