Woody Hadeen — OGILVIE

Woody HadeenSS West Michigan Whitecaps

Age 24 S/R 6'2" / 195 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION394 act + 10 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%20

BB%10

BABIP293

ISO79

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE45

scouting grade only

SPEED60

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$0.6M	—	—	—
Totals		$3M		$4M	+$2M

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)
2025	23	A+	West Michigan Whitecaps	—	181	154	36	4	1	2	21	24	6	15	2	234	348	312	660	78	266	13	12	311	96	-1	+2	—	—	+4	0.5
2025	23	A	Lakeland Flying Tigers	—	290	238	56	11	2	4	35	54	17	23	4	235	372	349	721	113	289	19	12	338	115	+5	+3	—	—	+6	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A+ MLE	West Michigan Whitecaps	—	181	162	30	3	1	2	13	34	6	15	2	185	271	253	524	68	225	19	7	241	49	-11	+2	—	—	+4	-0.5
2025	23	A MLE	Lakeland Flying Tigers	—	290	245	45	10	1	4	28	77	17	23	4	184	310	282	592	98	245	27	10	270	69	-11	+3	—	—	+6	-0.1
2025	23	A MLE	2 teams	—	471	407	75	13	2	6	41	111	23	38	6	184	295	270	565	86	238	24	9	259	61	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	471	392	92	15	3	6	56	78	23	38	6	235	363	334	697	99	279	17	12	327	61	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	471	404	75	13	2	6	41	111	23	38	6	186	295	272	567	87	237	24	9	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	2 teams	—	471	404	75	13	2	6	41	111	23	38	6	186	295	272	567	87	237	24	9	259	61	—	—	—	—	—	—
YTD	24	A+ MLE	DET	—	394	343	91	18	3	1	38	93	10	29	3	265	355	344	700	79	357	24	10	311	97	-2	+5	+0	+4	+9	1.6
▸ 2026 season
YTD	24	ROK RAW	DET	—	18	14	5	1	0	0	3	1	1	2	0	357	500	429	929	71	385	6	17	430	97	—	—	—	—	—	—
YTD	24	A+ RAW	DET	—	263	212	67	15	1	0	40	47	8	16	2	316	442	396	839	80	399	18	15	383	97	—	—	—	—	—	—
YTD	24	AA RAW	DET	—	113	100	27	5	2	1	12	23	1	11	1	270	354	390	744	120	342	20	11	337	97	—	—	—	—	—	—
ROS	24	A+ MLE	DET	0%	10	9	1	0	0	0	1	2	0	1	0	111	200	111	311		298	20	10	292	84	-0	+0	+0	+0	+0	0.0
TOT	24	A+ MLE	DET	—	404	352	92	18	3	1	39	95	10	30	3	261	352	338	690	77	351	24	10	311	96	-2	+5	+0	+4	+9	1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	DET	30%	370	323	73	14	2	3	34	85	10	17	2	226	319	310	628	84	294	23	9	292	84	-7	+3	+0	+4	+8	0.8
2028	26	MLB MLE	DET	44%	407	355	81	15	2	5	38	94	11	18	2	228	322	324	646	96	295	23	9	299	88	-6	+3	+0	+4	+9	1.1
2029	27	MLB MLE	DET	49%	529	461	106	20	3	7	50	122	13	24	3	230	323	332	654	102	294	23	9	300	89	-7	+4	+0	+6	+11	1.4
2030	28	MLB MLE	DET	52%	425	371	85	16	2	6	40	98	11	18	2	229	322	332	654	102	294	23	9	300	89	-6	+3	-1	+5	+9	1.1
2031	29	MLB MLE	DET	51%	420	367	84	16	2	6	40	98	10	17	2	229	321	332	654	104	293	23	10	298	88	-6	+3	-1	+4	+9	0.9
2032	30	MLB MLE	DET	51%	414	362	81	15	2	5	39	98	10	15	2	224	316	318	634	94	292	24	9	296	86	-7	+2	-2	+4	+9	0.7
2033	31	MLB MLE	DET	51%	401	350	79	15	2	5	38	96	10	13	2	226	319	323	642	97	290	24	9	292	84	-8	+2	-3	+4	+9	0.4
2034	32	MLB MLE	DET	51%	384	336	74	14	2	4	36	93	9	10	1	220	312	310	622	89	287	24	9	286	80	-9	+2	-4	+4	+8	0.1
2035	33	MLB MLE	DET	51%	355	311	67	12	2	4	33	88	8	7	1	215	307	305	612	90	284	25	9	280	76	-10	+1	-4	+4	+8	-0.2
2027	25	MLB CTX	DET	30%	112	98	22	4	1	1	10	26	3	5	1	224	315	316	632	92	290	23	9	268	84	-2	+1	+0	+1	+2	0.2
2028	26	MLB CTX	DET	44%	180	156	36	7	1	2	17	41	5	8	1	231	326	327	653	96	290	23	9	276	88	-2	+1	+0	+2	+4	0.5
2029	27	MLB CTX	DET	49%	259	226	51	10	1	3	24	60	7	12	2	226	319	319	638	93	290	23	9	278	89	-3	+2	+0	+3	+6	0.7
2030	28	MLB CTX	DET	52%	219	191	43	8	1	3	21	51	5	9	1	225	318	325	643	99	289	23	10	278	89	-3	+1	-0	+2	+5	0.5
2031	29	MLB CTX	DET	51%	216	188	43	8	1	3	21	50	5	9	1	229	322	330	652	101	289	23	10	276	88	-3	+1	-1	+2	+5	0.5
2032	30	MLB CTX	DET	51%	213	186	42	8	1	3	20	50	5	8	1	226	318	328	645	102	288	23	9	274	86	-3	+1	-1	+2	+5	0.4
2033	31	MLB CTX	DET	51%	206	179	39	7	1	2	20	49	5	6	1	218	314	302	615	84	286	24	10	270	84	-4	+1	-1	+2	+4	0.2
2034	32	MLB CTX	DET	51%	198	172	37	7	1	2	19	48	5	5	1	215	311	302	614	87	283	24	10	265	80	-5	+1	-2	+2	+4	0.1
2035	33	MLB CTX	DET	51%	183	160	34	6	1	2	17	45	4	4	0	212	304	300	604	87	279	25	9	259	76	-5	+1	-2	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1786	1556	347	65	9	21	169	420	44	66	9	223	317	317	633	94	290	24	9	272	83	-31	+10	-8	+19	+39	2.9
/ 162G	—	A+C		—	650	566	127	24	3	8	62	153	16	24	3	224	318	320	638	95	292	24	10	272	83	-11	+3	-3	+7	+14	1.1
Career	—	MLE		—	4186	3652	806	150	21	51	390	985	115	178	23	221	315	315	631	94	287	24	9	290	83	-65	+21	-15	+40	+80	6.3
/ 162G	—	MLE		—	650	567	125	23	3	8	61	153	18	28	4	220	316	314	630	93	286	24	9	290	83	-11	+4	-3	+7	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.7	1,788	22	66	227	316	323	+19	+12	4.5	4.3
/162	664	8	25	+7.1	+4.5	1.7	pk7: 4
#6Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	pk7: 3

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
Woody Hadeen (OGILVIE)	24	40	30	60	45	224/320/304	79	298	2	18	23%	9%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Willoughby 2012 · A	23	46→44	36→40	57→60	48	213/282/285	72	270	2	21	21%	7%	63	-1.4	209/277/282	73	278	3	14	24%	8%	61	-1.5	199/276/253	54	270	0	13	24%	9%	51	-0.9
✕Gabriel Maciel 2022 · A	23	44→52	37→30	54→55	45	208/267/278	70	274	4	19	25%	7%	55	-1.9	220/279/301	81	282	5	13	22%	7%	65	-1.2	232/292/307	76	288	2	11	19%	7%	68	-0.4
✕Anthony Jackson 2008 · A	24	43→53	41→40	61→55	42	209/264/315	106	286	6	19	28%	6%	63	-1.4	228/283/306	78	291	4	25	21%	6%	68	-1.0	250/318/323	72	306	4	28	18%	7%	83	+0.0
✕Zeke DeVoss 2014 · A	24	45	39→40	55	51	210/313/300	90	285	6	23	26%	10%	80	-0.2	187/286/263	76	270	5	17	30%	10%	61	-1.5	128/241/173	45	196	3	17	32%	10%	25	-2.4
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	44	204/256/283	80	261	5	21	23%	6%	53	-2.1	242/303/317	75	307	4	31	21%	6%	78	-0.3	242/306/332	90	291	7	29	18%	7%	81	-0.0
✕Lucius Fox 2021 · AAA	24	44→49	38→40	57→60	46	207/280/288	81	282	4	27	27%	8%	63	-1.3	203/268/295	92	292	8	24	31%	8%	60	-1.6	189/252/269	80	275	7	24	32%	7%	45	-1.0
✕Eduardo Torrealba 2023 · A	24	45	38→30	54→50	45	214/267/294	80	259	6	17	20%	6%	59	-1.6	211/271/284	73	266	5	14	21%	6%	59	-1.7	206/269/254	48	258	3	15	20%	7%	50	-1.2
✕Ryan Rogowski 2008 · A	24	47→46	39→40	61→55	50	221/291/321	100	275	4	25	20%	8%	74	-0.5	219/287/304	85	271	5	25	20%	8%	70	-0.9	216/288/286	69	261	5	32	18%	8%	63	-1.0
✕Sam Haggerty 2018 · A	24	43	38→50	58→65	45	203/270/293	90	292	4	25	30%	8%	60	-1.6	222/300/330	108	316	6	28	29%	9%	80	-0.1	252/331/392	139	317	11	42	22%	9%	102	+0.8
✕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
✕Ripken Reyes 2021 · A	24	48	38→40	53→50	46	226/300/312	87	268	5	12	17%	6%	77	-0.3	224/328/302	78	283	4	13	21%	7%	86	+0.3	219/336/295	76	273	4	18	19%	8%	86	+0.2
✕Carlos Garcia 2016 · A	24	50	37→40	57→55	43	238/286/312	75	301	4	26	22%	5%	70	-0.9	220/269/309	89	272	7	17	21%	5%	63	-1.3	210/258/298	88	253	8	15	20%	5%	54	-1.0
✕Drew Millas 2022 · A	24	48	38→45	51→50	53	224/302/304	80	277	5	14	20%	10%	76	-0.4	228/300/332	104	295	9	12	24%	9%	81	-0.1	250/306/369	119	290	10	17	17%	7%	88	+0.2
✕Jon Matthews 2014 · A	23	42	38→40	58→60	41	198/263/275	77	278	5	25	29%	6%	54	-2.0	229/296/296	67	312	3	16	25%	8%	70	-0.8	240/310/292	52	324	2	16	24%	8%	72	-0.3
✕Bengie González 2014 · A	24	43→53	35→40	49→50	44	201/257/259	58	268	2	17	24%	6%	47	-2.5	240/293/326	86	298	4	13	19%	7%	76	-0.4	255/307/351	95	309	4	12	18%	7%	84	+0.1
✕Andrew Romine 2009 · A	23	47→55	37→40	57→55	46	224/278/300	76	277	4	28	20%	6%	65	-1.2	241/296/308	67	304	3	22	20%	7%	73	-0.6	239/298/328	88	296	7	19	20%	6%	76	-0.2
✕Robelys Reyes 2014 · A	24	47→48	36→40	53→55	46	222/268/294	72	262	3	15	16%	5%	59	-1.7	219/262/269	50	280	1	15	21%	5%	51	-2.3	234/271/267	33	302	0	17	21%	4%	52	-1.4
✕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
✕Adenson Chourio 2010 · A	24	50	33→30	54→60	45	232/293/272	41	308	1	26	24%	7%	64	-1.3	209/257/263	54	300	3	18	29%	6%	48	-2.5	186/222/208	22	272	0	24	30%	4%	19	-1.7
✕José Caballero 2021 · A	24	46	41→45	52→70	47	220/294/324	104	280	8	25	24%	8%	77	-0.3	221/324/338	117	285	11	35	24%	11%	93	+0.8	225/318/339	113	300	10	63	26%	9%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps