Josh Wakefield — OGILVIE

Josh WakefieldOF Fayetteville Woodpeckers

Age 22 L/L 6'0" / 180 lbs A HR -6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION318 act + 9 ros · stats below = ROS only

showingROS

wRC+†76

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP307

ISO106

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE55

scouting grade only

SPEED73

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.1M	+$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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A MLE	HOU	—	318	283	66	10	2	3	26	95	6	37	8	233	311	314	626	81	335	30	8	281	76	-9	+4	+0	-2	+7	0.0
▸ 2026 season
YTD	22	A RAW	HOU	—	318	267	72	12	2	4	42	67	6	37	8	270	381	375	755	105	342	21	13	344	76	—	—	—	—	—	—
ROS	22	A MLE	HOU	0%	9	8	1	0	0	0	1	3	0	1	0	125	222	125	347		304	33	11	281	76	-0	+0	+0	-0	+0	0.0
TOT	22	A MLE	HOU	—	327	291	67	10	2	3	27	98	6	38	8	230	309	309	618	79	332	30	8	281	76	-9	+4	+0	-2	+7	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	HOU	34%	454	407	92	15	3	8	38	124	6	18	4	226	302	337	638	111	303	27	8	288	81	-10	+2	+0	-3	+10	-0.1
2028	24	MLB MLE	HOU	46%	490	440	101	17	3	9	41	131	6	18	4	230	304	343	647	114	303	27	8	293	84	-9	+2	+0	-3	+11	0.1
2029	25	MLB MLE	HOU	52%	529	472	109	19	3	10	45	140	7	18	4	231	307	347	655	117	302	26	9	296	86	-9	+2	+0	-3	+11	0.2
2030	26	MLB MLE	HOU	54%	571	511	118	20	3	12	48	151	7	19	4	231	306	352	658	121	302	26	8	297	87	-9	+2	+0	-3	+12	0.2
2031	27	MLB MLE	HOU	54%	616	550	126	22	3	12	53	163	8	20	4	229	306	345	652	116	302	26	9	297	87	-10	+2	+0	-4	+13	0.3
2032	28	MLB MLE	HOU	54%	618	551	126	22	3	12	54	165	8	20	4	229	307	345	652	116	301	27	9	296	86	-10	+2	-1	-4	+13	0.1
2033	29	MLB MLE	HOU	53%	612	546	124	21	3	12	53	164	8	19	4	227	305	342	647	115	300	27	9	294	85	-11	+2	-1	-4	+13	-0.1
2034	30	MLB MLE	HOU	52%	604	538	122	21	3	11	53	164	8	18	4	227	306	338	644	112	299	27	9	291	83	-12	+2	-2	-4	+13	-0.3
2027	23	MLB CTX	HOU	34%	156	140	32	5	1	3	13	43	2	6	1	229	303	343	646	114	305	28	8	279	81	-4	+1	+0	-1	+3	-0.0
2028	24	MLB CTX	HOU	46%	226	202	46	8	1	4	19	61	3	8	2	228	304	337	640	109	305	27	8	284	84	-4	+1	+0	-1	+5	0.0
2029	25	MLB CTX	HOU	52%	273	244	57	10	2	5	23	72	4	9	2	234	310	352	662	119	304	26	8	287	86	-4	+1	+0	-2	+6	0.1
2030	26	MLB CTX	HOU	54%	310	277	64	11	2	6	26	82	4	10	2	231	306	350	656	119	304	26	8	288	87	-5	+1	+0	-2	+7	0.1
2031	27	MLB CTX	HOU	54%	334	298	70	12	2	7	29	88	4	11	2	235	311	359	670	124	304	26	9	288	87	-5	+1	+0	-2	+7	0.1
2032	28	MLB CTX	HOU	54%	335	299	69	12	2	6	29	89	4	11	2	231	307	344	652	114	303	27	9	287	86	-5	+1	-0	-2	+7	0.1
2033	29	MLB CTX	HOU	53%	325	290	66	11	2	6	28	87	4	10	2	228	304	341	646	114	302	27	9	285	85	-6	+1	-1	-2	+7	-0.0
2034	30	MLB CTX	HOU	52%	317	282	65	11	2	6	28	86	4	9	2	230	309	348	656	117	301	27	9	282	83	-6	+1	-1	-2	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2276	2032	469	80	14	43	195	608	29	74	15	231	307	347	655	117	306	27	9	285	85	-40	+9	-2	-14	+49	0.2
/ 162G	—	A+C		—	650	580	134	23	4	12	56	174	8	21	4	231	307	347	654	116	307	27	9	285	85	-11	+3	-1	-4	+14	0.1
Career	—	MLE		—	4503	4023	919	157	24	86	386	1205	58	151	32	228	305	344	649	115	302	27	9	294	85	-80	+17	-4	-27	+98	0.4
/ 162G	—	MLE		—	650	581	132	23	3	12	56	174	8	22	5	227	304	339	643	112	302	27	9	294	85	-12	+3	-1	-4	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Michael 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
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony 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
#6Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.9	2,596	49	84	228	301	343	-16	+0	1.6	1.7
/162	664	13	21	-4.0	+0.0	0.4	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
Josh Wakefield (OGILVIE)	22	35→40	35→40	68→73	55	220/295/316	96	304	4	22	28%	8%	76	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Adonis Pacheco 2013 · A	22	45	39→50	57→55	45	213/271/312	99	277	4	16	24%	7%	65	-1.2	204/258/296	92	260	5	11	22%	6%	56	-1.9	160/206/240	80	191	3	9	17%	6%	22	-1.2
✕Victor Scott II 2023 · A	22	44→54	44→40	58→65	51	211/296/334	123	285	10	19	28%	10%	80	-0.1	223/284/317	94	282	7	44	22%	6%	71	-0.8	218/282/304	85	275	7	49	22%	6%	66	-1.0
✕Corey Rosier 2023 · A	23	47→52	42→40	62→60	49	227/302/337	110	300	8	28	26%	9%	82	+0.0	216/278/313	97	290	7	33	26%	7%	68	-1.0	208/271/300	92	276	7	36	26%	7%	60	-1.0
✕Pedro Toribio 2012 · A	22	48	40	65→60	45	228/274/334	105	272	6	27	18%	6%	70	-0.8	246/275/326	80	306	3	23	20%	4%	68	-1.0	271/291/330	59	338	0	29	19%	2%	70	-0.3
✕Rudy Martin Jr. 2018 · A	22	47	39→45	60→65	40	213/278/300	87	333	5	30	35%	7%	65	-1.2	184/243/278	94	312	8	27	41%	6%	47	-2.5	229/304/333	104	308	11	52	28%	9%	79	-0.1
✕Saige Jenco 2017 · A	22	52	38→40	60→50	47	243/303/334	91	319	4	21	24%	8%	81	-0.1	214/287/300	86	312	4	13	30%	9%	68	-1.0	196/279/277	80	293	3	12	31%	10%	57	-0.8
✕Leon Johnson 2008 · A	23	49	40	58→60	50	229/302/326	97	301	6	22	24%	9%	80	-0.2	218/282/296	78	282	5	17	23%	7%	65	-1.2	200/262/221	21	248	0	22	18%	6%	38	-0.7
✕Anthony Norman 2009 · A	24	47→42	47→50	62→55	52	231/311/376	145	274	13	24	21%	9%	95	+1.0	216/290/343	127	276	11	14	24%	8%	80	-0.2	206/275/315	109	281	7	9	27%	7%	67	-0.3
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/300/322	78	309	3	20	21%	6%	78	-0.3	225/271/287	62	293	2	11	23%	4%	59	-1.7	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕Donnie Dewees 2017 · A	23	49→50	40→45	61→50	42	232/274/336	104	292	5	17	22%	5%	70	-0.8	221/267/328	107	271	8	14	21%	5%	67	-1.1	212/262/324	112	253	10	13	20%	6%	62	-1.2
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
✕Francisco Santana 2010 · A	22	43	42→50	57→55	43	212/261/324	112	266	9	13	24%	6%	63	-1.3	196/233/289	93	282	6	8	31%	4%	45	-2.7	161/180/254	93	230	6	6	32%	2%	13	-1.6
✕Carlos Willoughby 2011 · A	22	50→44	36→40	62→60	49	232/308/311	79	296	2	28	21%	8%	78	-0.3	208/277/274	66	271	2	17	22%	8%	59	-1.7	199/272/257	58	258	1	17	21%	8%	50	-1.6
✕Tsung-Che Cheng 2023 · A	22	48→47	42→45	57→55	51	226/308/340	115	305	8	21	27%	10%	86	+0.3	213/278/323	110	288	9	18	27%	8%	70	-0.8	202/266/301	99	273	8	19	28%	7%	58	-1.4
✕Darnell Sweeney 2013 · A	22	49→50	41→45	58→55	46	235/291/337	102	296	8	21	23%	7%	78	-0.3	228/281/354	126	313	10	22	29%	6%	78	-0.3	224/279/352	128	306	10	23	29%	7%	75	-0.5
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Ryan Rogowski 2007 · A	23	49→46	40	59→55	52	231/303/334	103	280	6	19	19%	9%	82	-0.0	219/288/308	89	273	4	26	20%	8%	70	-0.8	214/286/299	85	266	4	31	19%	8%	65	-1.0

Career Stats + Projections

Career Comps

Career Path Comps