Tyler Wilson — OGILVIE

Tyler WilsonOF Hudson Valley Renegades

Age 24 S/R 6'1" / 210 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION52 act + 11 ros · stats below = ROS only

showingROS

wRC+†76

AVG/OBP/SLG.200 / .273 / .200

PA11

HR0

K%27

BB%9

BABIP298

ISO96

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

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 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
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	$0.9M	—	—	—
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		$-1M	+$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)
2024	22	A	Tampa Tarpons	—	92	76	15	5	0	1	14	14	1	2	1	197	330	303	632	105	226	15	15	295	86	-2	+0	—	—	+2	0.0
2025	23	A+	Hudson Valley Renegades	—	52	47	13	2	0	0	4	9	0	0	1	277	327	319	646	43	342	17	8	294	85	-1	-0	—	—	+1	-0.0
2025	23	A	Tampa Tarpons	—	314	269	76	9	0	5	41	68	0	15	8	283	375	372	747	89	359	22	13	340	116	+6	-0	—	—	+7	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	Tampa Tarpons	—	92	81	14	5	0	1	9	21	1	2	1	173	264	272	535	99	208	23	10	241	49	-6	+0	—	—	+2	-0.4
2025	23	A+ MLE	Hudson Valley Renegades	—	52	50	12	2	0	0	2	12	0	0	1	240	269	280	549	40	311	23	4	241	49	-3	-0	—	—	+1	-0.2
2025	23	A MLE	Tampa Tarpons	—	314	280	58	7	0	5	32	97	0	15	8	207	288	286	574	79	291	31	10	260	62	-14	-0	—	—	+7	-0.8
2024	22	A MLE	Tampa Tarpons	—	92	81	14	5	0	1	9	21	1	2	1	173	264	272	535	99	217	23	10	241	49	—	—	—	—	—	—
2024	22	A RAW	Tampa Tarpons	—	92	76	15	5	0	1	14	14	1	2	1	197	330	303	632	105	226	15	15	295	49	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	366	330	70	9	0	5	34	109	0	15	9	212	286	285	571	73	298	30	9	257	60	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	366	316	89	11	0	5	45	77	0	15	9	282	368	364	732	82	356	21	12	333	60	—	—	—	—	—	—
2024	22	A MLE	Tampa Tarpons	—	92	82	14	5	0	1	9	21	1	2	1	171	264	268	532	98	208	23	10	241	49	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	366	329	70	9	0	5	34	109	0	15	9	213	286	286	571	73	294	30	9	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	Tampa Tarpons	—	92	82	14	5	0	1	9	21	1	2	1	171	264	268	532	98	208	23	10	241	49	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	366	329	70	9	0	5	34	109	0	15	9	213	286	286	571	73	294	30	9	257	60	—	—	—	—	—	—
YTD	24	A+ MLE	NYY	—	52	47	9	0	1	0	4	9	0	5	1	191	255	234	489	43	231	17	8	219	34	-4	+1	+0	-0	+1	-0.3
▸ 2026 season
YTD	24	A+ RAW	NYY	—	52	45	9	0	1	0	6	7	0	5	1	200	294	244	539	44	231	13	12	251	34	—	—	—	—	—	—
ROS	24	A+ MLE	NYY	0%	11	10	2	0	0	0	1	3	0	0	0	200	273	200	473		296	27	9	280	76	-0	+0	+0	-0	+0	-0.0
TOT	24	A+ MLE	NYY	—	63	57	11	0	1	0	5	12	0	5	1	193	258	228	486	35	239	19	8	230	42	-4	+1	+0	-0	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYY	30%	330	296	69	12	2	5	29	80	2	8	3	233	306	338	644	105	297	24	9	288	81	-7	+0	+0	-2	+7	-0.2
2028	26	MLB MLE	NYY	44%	380	342	79	14	2	6	33	92	2	9	3	231	302	336	639	105	296	24	9	292	84	-7	+1	+0	-2	+8	-0.1
2029	27	MLB MLE	NYY	49%	402	360	84	15	2	7	36	97	3	10	3	233	308	344	653	111	296	24	9	294	85	-7	+1	+0	-2	+9	-0.0
2030	28	MLB MLE	NYY	52%	413	370	85	15	2	7	37	100	3	9	3	230	305	338	643	108	295	24	9	294	85	-7	+1	-1	-2	+9	-0.1
2031	29	MLB MLE	NYY	51%	413	370	85	15	2	7	37	101	3	9	3	230	305	338	643	108	294	24	9	292	84	-8	+1	-1	-2	+9	-0.2
2032	30	MLB MLE	NYY	51%	410	367	84	15	2	7	37	101	3	8	3	229	305	338	643	109	293	25	9	289	82	-9	+0	-2	-2	+9	-0.4
2027	25	MLB CTX	NYY	30%	100	90	22	4	1	2	9	24	1	2	1	244	320	378	698	133	298	24	9	287	81	-2	+0	+0	-1	+2	-0.1
2028	26	MLB CTX	NYY	44%	168	150	35	6	1	3	15	41	1	4	1	233	307	347	654	113	298	24	9	291	84	-3	+0	+0	-1	+4	-0.0
2029	27	MLB CTX	NYY	49%	197	177	41	7	1	4	17	48	1	5	2	232	303	350	653	119	297	24	9	293	85	-3	+0	+0	-1	+4	-0.0
2030	28	MLB CTX	NYY	52%	213	191	45	8	1	4	19	52	1	5	2	236	308	351	659	115	297	24	9	292	85	-4	+0	-0	-1	+5	-0.1
2031	29	MLB CTX	NYY	51%	213	191	44	8	1	4	19	52	1	5	1	230	303	346	649	115	296	24	9	290	84	-4	+1	-1	-1	+5	-0.1
2032	30	MLB CTX	NYY	51%	211	189	44	8	1	4	19	52	1	4	1	233	306	349	655	116	295	25	9	288	82	-5	+0	-1	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1102	988	231	41	6	21	98	269	6	25	8	234	307	351	658	117	299	24	9	290	79	-21	+2	-2	-7	+24	-0.5
/ 162G	—	A+C		—	650	583	136	24	4	12	58	159	4	15	5	233	307	350	657	117	299	24	9	290	79	-13	+1	-1	-4	+14	-0.3
Career	—	MLE		—	2817	2526	572	100	12	45	253	704	17	70	28	226	301	329	630	103	294	25	9	285	79	-46	+3	-4	-14	+51	-1.0
/ 162G	—	MLE		—	650	583	132	23	3	10	58	162	4	16	6	226	300	328	628	101	295	25	9	285	79	-13	+1	-1	-4	+14	-0.3

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
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Alexi 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
#6Nick 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 3 projected seasons	1.7	1,103	19	25	232	302	342	-7	+0	0.4	0.4
/162	664	11	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
Tyler Wilson (OGILVIE)	24	45	30	50	50	225/296/315	90	296	3	8	25%	9%	76	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matty Johnson 2012 · A	24	49→53	37→40	46→55	46	230/291/304	73	307	5	11	25%	7%	70	-0.8	233/286/306	73	292	3	17	20%	6%	69	-0.9	240/297/312	72	299	2	23	19%	6%	71	-0.5
✕Chuck Taylor 2018 · AA	24	49→56	40	47→50	47	232/295/322	90	293	7	8	22%	8%	76	-0.4	230/288/321	91	289	7	4	22%	7%	74	-0.6	226/284/310	84	283	7	1	21%	7%	66	-1.0
✕Michael Beltre 2019 · A	24	48→52	39→45	53→60	48	224/295/313	89	307	5	13	27%	9%	74	-0.5	223/289/327	104	307	8	16	28%	8%	76	-0.4	213/282/343	130	295	12	30	30%	8%	74	-0.3
✕Yerison Pena 2015 · A	24	46	38→40	52→50	54	215/302/304	89	286	5	14	24%	11%	76	-0.4	217/284/317	100	297	7	9	27%	8%	71	-0.8	212/276/322	110	285	9	4	27%	8%	65	-0.5
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	68	-1.0	206/288/273	67	306	2	8	30%	10%	63	-1.3	200/292/257	57	304	1	8	30%	11%	59	-0.8
✕Elian Herrera 2009 · A	24	44→54	40	47→60	42	211/272/306	96	295	7	8	30%	7%	64	-1.3	231/289/309	78	324	4	27	28%	7%	70	-0.8	247/313/333	86	332	3	27	24%	8%	84	+0.1
✕Victor Cruzado 2016 · AA	24	47	40	46→45	48	222/288/323	101	292	6	5	25%	8%	74	-0.6	218/282/309	91	293	7	6	26%	8%	68	-1.0	213/279/295	81	283	8	6	26%	8%	61	-1.0
✕Dan Nelson 2008 · A	24	47→49	38→45	48→50	51	223/299/299	76	292	5	14	24%	9%	73	-0.6	220/290/316	96	284	8	12	23%	9%	73	-0.6	239/298/348	109	288	10	8	20%	7%	80	-0.1
✕Jordan George 2016 · A	24	50→52	41→40	47→40	50	238/311/348	110	305	7	5	23%	9%	88	+0.5	241/315/346	105	299	7	5	20%	9%	89	+0.5	242/315/342	100	286	9	2	18%	8%	87	+0.2
✕Joe Sclafani 2014 · A	24	48	41→40	52→50	53	229/308/335	106	280	7	14	20%	9%	85	+0.2	254/315/331	77	307	4	11	17%	8%	85	+0.2	278/333/337	59	331	2	10	16%	7%	89	+0.3
✕Louis Ott 2008 · A	23	47→48	39→30	45	45	225/288/305	81	300	6	8	26%	7%	70	-0.8	228/301/297	69	326	4	7	28%	9%	73	-0.6	228/307/282	54	330	3	6	29%	10%	69	-0.5
✕Jake Palomaki 2019 · A	24	44	39→30	52→50	49	213/282/298	85	259	7	11	20%	8%	66	-1.1	207/278/266	59	263	3	14	20%	8%	57	-1.8	219/291/264	46	280	1	17	20%	8%	59	-0.9
✕Landon Lassiter 2016 · A	23	49→50	40	51→50	47	231/302/325	94	311	6	8	26%	8%	80	-0.2	219/280/291	72	334	4	9	33%	6%	63	-1.3	214/275/277	62	335	3	9	34%	6%	56	-1.0
✕Justin Maffei 2016 · A	24	50	37→40	49→50	46	231/299/305	74	305	3	11	24%	7%	74	-0.6	230/300/301	71	302	4	11	23%	8%	74	-0.6	230/305/277	47	303	2	11	22%	8%	67	-0.3
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕Leo Rivas 2022 · AA	24	48→54	38→40	50→65	49	222/299/302	80	308	5	13	28%	9%	74	-0.6	223/308/309	86	302	7	30	26%	10%	79	-0.2	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Julian Williams 2007 · A	24	48	36→30	49→55	48	220/306/293	73	294	3	15	24%	8%	75	-0.5	220/294/288	68	282	3	17	21%	8%	69	-0.9	218/293/263	45	274	0	23	19%	8%	60	-1.0
✕Collin Radack 2016 · A	24	50→52	37→30	48→50	42	234/302/302	68	318	4	11	26%	6%	75	-0.5	230/293/296	66	319	4	11	27%	6%	70	-0.9	237/298/258	21	335	0	11	27%	7%	59	-0.5
✕Yonathan Mendoza 2018 · AA	24	52	36→30	48→45	47	247/294/308	61	294	4	7	17%	6%	72	-0.7	227/279/281	54	283	3	6	19%	7%	60	-1.6	220/275/256	36	275	2	4	19%	7%	50	-1.4
✕Antonio DeJesus 2010 · AA	24	50	36→30	47→50	50	229/318/292	63	302	3	10	23%	9%	79	-0.2	212/298/310	98	279	5	12	24%	8%	76	-0.4	183/282/297	114	244	4	16	24%	8%	65	-0.5

Career Stats + Projections

Career Comps

Career Path Comps