Henry Godbout — OGILVIE

Henry GodboutSS Greenville Drive

Age 22 R/R 6'0" / 190 lbs A+ H +3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION161 act + 107 ros · stats below = ROS only

wRC+†95

AVG/OBP/SLG.233 / .320 / .371

PA107

HR3

K%24

BB%8

BABIP286

ISO138

MLB%4%

Value2026 · WAR

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

Tools · ContractCON 55 / POW 40

Toolsscout grade

CONTACT55

scouting grade only

POWER40

scouting grade only

EYE58

scouting grade only

SPEED40

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+1.4	$9M	+$8M
2030	Pre-Arb	$0.9M	+1.6	$9M	+$9M
2031	Pre-Arb	$0.9M	+1.6	$9M	+$8M
2032	Arb-1	$3M	+1.5	$8M	+$6M
2033	Arb-2	$5M	+1.4	$7M	+$4M
2034	Arb-3	$6M	+1.2	$5M	+$3M
Totals		$16M		$47M	+$38M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2025	21	A+	Greenville Drive	—	55	48	13	4	0	0	5	9	2	1	1	271	364	354	718	83	333	16	9	326	108	—	—	—	—	—	—
2025	21	A+	Greenville Drive	—	55	44	15	6	0	0	9	6	2	1	1	341	473	477	950	136	395	11	16	429	186	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	22	A+	BOS	—	161	138	32	6	0	6	14	36	8	2	3	232	338	406	743	174	268	22	9	321	104	+1	-1	+0	+2	+5	0.6
YTD	22	A+	BOS	—	161	130	36	7	0	7	22	27	8	2	3	277	412	492	905	215	299	17	14	402	166	+12	-1	+0	+2	+5	1.8
ROS	22	A+	BOS	4%	107	94	22	4	0	3	9	26	3	2	1	233	320	371	691	138	288	24	8	309	95	-1	+0	-0	+1	+3	0.3
ROS	22	MLB	BOS	4%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		294	20	0	295	84	-0	+0	-0	+0	+0	0.0
FULL	22	A+	BOS	—	166	143	33	6	0	6	14	37	8	2	3	231	333	399	732	168	267	22	8	320	103	+1	-1	-0	+2	+5	0.6
TOT	22	A+	BOS	—	268	232	54	10	0	9	23	62	11	4	4	232	330	392	722	159	276	23	9	316	100	+0	-1	-0	+3	+8	1.0
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	23	MLB	BOS	36%	242	214	50	10	1	6	21	58	5	3	2	234	317	374	690	140	289	24	9	311	96	-1	-0	-1	+3	+7	0.8
2028	24	MLB	BOS	47%	339	299	70	13	1	9	30	81	7	4	2	234	318	375	693	140	290	24	9	314	99	-1	+0	-1	+4	+10	1.2
2029	25	MLB	BOS	52%	392	346	83	16	2	11	35	93	8	5	3	240	324	393	717	153	290	24	9	316	100	-0	-0	-1	+4	+11	1.4
2030	26	MLB	BOS	54%	426	376	90	17	2	12	38	101	9	6	3	239	324	391	715	152	290	24	9	316	100	+0	+0	-2	+5	+12	1.6
2031	27	MLB	BOS	54%	440	388	93	18	2	12	40	105	9	6	3	240	325	389	714	149	290	24	9	317	100	+0	+0	-2	+5	+12	1.6
2032	28	MLB	BOS	54%	444	392	93	18	2	12	40	106	9	6	3	237	322	385	707	148	290	24	9	316	100	-0	+0	-2	+5	+13	1.5
2033	29	MLB	BOS	53%	440	388	91	17	2	12	40	106	9	6	3	235	320	381	702	147	290	24	9	314	98	-1	+0	-3	+5	+12	1.4
2034	30	MLB	BOS	52%	433	381	89	17	2	11	40	106	9	5	3	234	321	375	696	142	289	24	9	311	96	-2	-0	-4	+5	+12	1.2
2035	31	MLB	BOS	52%	421	372	85	16	1	11	38	104	8	5	3	228	313	366	679	137	287	25	9	308	94	-3	-0	-4	+5	+12	0.9
2036	32	MLB	BOS	52%	404	356	80	15	1	10	37	101	8	5	2	225	312	357	668	132	284	25	9	302	90	-5	+0	-5	+4	+11	0.6
2037	33	MLB	BOS	52%	375	331	73	13	1	9	34	96	7	4	2	221	306	347	654	127	280	26	9	296	84	-7	+0	-6	+4	+11	0.3
2038	34	MLB	BOS	47%	331	292	62	11	1	7	30	87	6	3	2	212	299	329	628	116	274	26	9	287	78	-8	-0	-6	+4	+9	-0.2
2039	35	MLB	BOS	43%	278	246	51	8	1	6	25	75	5	3	1	207	293	321	615	114	268	27	9	278	71	-9	+0	-7	+3	+8	-0.5
2027	23	MLB	BOS	36%	88	78	18	4	0	2	8	21	2	1	1	231	318	359	677	128	296	24	9	300	88	-1	-0	-0	+1	+2	0.2
2028	24	MLB	BOS	47%	159	141	34	7	1	4	14	38	3	2	1	241	323	390	713	149	297	24	9	304	91	-2	+0	-1	+2	+5	0.4
2029	25	MLB	BOS	52%	204	180	45	9	1	6	18	48	4	3	1	250	332	411	743	161	297	24	9	306	92	-2	+0	-1	+2	+6	0.6
2030	26	MLB	BOS	54%	232	204	49	10	1	6	21	55	5	3	2	240	326	387	713	147	297	24	9	306	93	-2	-0	-1	+2	+7	0.6
2031	27	MLB	BOS	54%	239	210	51	10	1	7	22	57	5	3	2	243	329	400	729	157	297	24	9	307	93	-2	-0	-1	+3	+7	0.6
2032	28	MLB	BOS	54%	241	212	52	10	1	7	22	58	5	3	2	245	331	401	731	156	297	24	9	306	92	-2	-0	-1	+3	+7	0.6
2033	29	MLB	BOS	53%	234	206	49	10	1	6	21	56	5	3	2	238	323	383	707	146	296	24	9	304	91	-2	-0	-2	+3	+7	0.5
2034	30	MLB	BOS	52%	227	200	47	9	1	6	21	55	4	3	1	235	320	380	700	145	295	24	9	302	89	-3	+0	-2	+2	+6	0.4
2035	31	MLB	BOS	52%	219	193	46	9	1	6	20	54	4	3	1	238	323	389	711	150	293	25	9	298	86	-3	+0	-2	+2	+6	0.3
2036	32	MLB	BOS	52%	209	184	42	8	1	5	19	52	4	2	1	228	314	364	678	136	290	25	9	293	82	-4	+0	-3	+2	+6	0.1
2037	33	MLB	BOS	52%	194	170	39	7	1	5	18	50	4	2	1	229	318	371	688	141	286	26	9	286	77	-5	+0	-3	+2	+5	-0.0
2038	34	MLB	BOS	47%	156	138	29	5	0	3	14	41	3	2	1	210	297	312	608	101	281	26	9	278	71	-5	+0	-3	+2	+4	-0.2
2039	35	MLB	BOS	43%	119	105	21	4	0	2	11	32	2	1	1	200	288	295	583	95	274	27	9	268	63	-5	-0	-3	+1	+3	-0.3
▸ Career Totals
Career	—			—	2526	2226	523	102	10	65	229	618	50	31	17	235	320	377	698	142	295	24	9	298	86	-39	-1	-21	+27	+72	3.9
/ 162G	—			—	650	573	135	26	3	17	59	159	13	8	4	236	321	380	701	145	295	24	9	298	86	-10	+0	-6	+7	+18	1.0
Career	—			—	5127	4523	1045	197	19	131	462	1254	104	64	34	231	317	370	686	139	289	24	9	308	94	-36	-1	-43	+55	+145	12.3
/ 162G	—			—	650	573	132	25	2	17	59	159	13	8	4	230	316	370	686	140	287	24	9	308	94	-5	+0	-5	+7	+18	1.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

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
2025	21	A+	Greenville Drive	—	55	44	15	6	0	0	9	6	2	1	1	341	473	477	950	136	395	11	16	429	186	+5	-0	—	—	+2	0.7

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Robinson Chirinoslast yr '22 career totals — 10 seasons, 2,427 PA	10	2,427	95	5	227	320	420	+43	-10	12.9	13.8
	/162	664	26	1	227	320	420	+11.9	-2.8	3.5	pk7: 15
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	10	3,527	113	10	226	311	395	+13	+1	10.5	11.2
	/162	664	21	2	226	311	395	+2.4	+0.1	2.0	pk7: 12
#3Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
	/162	664	21	1	241	303	410	+9.2	-2.8	2.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	7	2,525	65	31	231	313	370	+25	-14	7.6	6.7
	/162	664	17	8	231	313	370	+6.6	-3.7	2.0	pk7: 6
#4Devin Mesoracolast yr '18 career totals — 8 seasons, 1,574 PA	8	1,574	58	4	232	309	406	+28	-13	6.0	6.2
	/162	664	24	2	232	309	406	+11.9	-5.3	2.5	pk7: 6
#5Daniel Descalsolast yr '19 career totals — 9 seasons, 2,856 PA	9	2,856	48	25	235	320	363	+16	-36	3.5	4.0
	/162	664	11	6	235	320	363	+3.8	-8.3	0.8	pk7: 4
#6Jason Phillipslast yr '07 career totals — 5 seasons, 1,508 PA	5	1,508	29	0	248	314	368	+11	-10	2.7	2.7
	/162	664	13	0	248	314	368	+4.7	-4.4	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
Henry Godbout (OGILVIE)	22	55	40	40	58	232/330/392	159	276	9	4	23%	9%	100	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daniel Robertson 2016 · AA	22	50→54	42→45	39→40	47	241/308/353	112	299	9	4	22%	7%	87	+0.8	233/313/339	106	302	9	4	24%	8%	86	+0.8	231/336/345	114	301	11	4	25%	11%	96	+0.8
●Matt Vierling 2019 · A	22	48→56	46→50	43→50	38	239/282/372	133	308	14	9	27%	4%	81	+0.4	204/259/300	96	277	9	14	28%	6%	53	-1.5	257/317/400	143	310	14	10	21%	7%	100	+1.5
✕Travis Denker 2008 · A	22	47→51	47→50	44→45	52	234/305/367	134	272	14	5	20%	9%	90	+1.0	225/289/343	118	281	10	5	22%	8%	76	+0.1	227/302/380	153	255	18	0	19%	8%	92	+0.6
●Christian Vázquez 2014 · AA	23	48→55	43→50	42→45	48	237/298/346	110	287	10	6	21%	8%	81	+0.4	243/296/330	87	304	6	4	21%	7%	76	+0.0	256/308/402	145	293	18	8	19%	7%	96	+1.0
●David Freitas 2012 · A	23	46→56	45	45→40	50	228/302/348	120	281	13	3	23%	9%	84	+0.6	220/284/346	126	268	14	2	22%	7%	76	+0.0	277/336/397	120	333	11	0	19%	7%	107	+1.2
✕Leo Jiménez 2023 · A	22	47→49	41→45	49→45	50	221/327/317	97	287	8	9	24%	9%	88	+0.9	227/313/341	114	287	11	7	24%	7%	88	+0.9	227/317/342	114	286	11	5	23%	7%	86	+0.4
✕Chun-Hsiu Chen 2011 · A	22	54→59	45→50	47→45	47	259/319/401	142	329	10	6	24%	7%	104	+2.0	244/305/383	139	341	13	6	30%	8%	93	+1.3	234/297/367	133	332	14	7	32%	8%	84	+0.5
✕Yusniel Díaz 2019 · AA	22	47→50	44→45	42→50	46	232/291/348	116	299	11	10	26%	8%	79	+0.3	207/265/333	126	287	13	6	31%	7%	64	-0.8	212/278/332	120	284	14	9	29%	8%	67	-0.3
✕Joel Capote 2013 · A	23	51	41→45	45→50	50	243/312/353	109	291	7	9	18%	8%	89	+0.9	210/269/289	79	271	4	10	22%	6%	53	-1.5	186/242/246	60	242	2	12	22%	5%	28	-1.9
✕Brooks Lee 2023 · A	22	49→50	46→50	41→45	50	242/309/371	129	290	13	6	21%	8%	92	+1.2	241/293/377	136	281	14	6	19%	7%	87	+0.8	240/293/387	147	262	19	6	17%	6%	87	+0.6
✕José Caballero 2019 · A	22	47→45	44→45	47→70	45	231/292/348	118	278	10	9	21%	6%	79	+0.3	221/292/340	119	284	12	26	25%	7%	78	+0.2	225/318/339	114	299	10	63	26%	9%	86	+0.5
●Gordon Beckham 2009 · A	22	47→56	48→50	46→45	45	240/288/377	137	278	16	7	20%	6%	85	+0.7	253/317/400	147	292	14	7	18%	7%	103	+1.9	247/314/384	136	287	13	6	18%	7%	96	+1.4
●Tyler Nevin 2019 · A	22	49→54	40→50	45	41	236/281/332	96	311	8	7	26%	5%	69	-0.4	209/267/315	106	263	11	5	24%	7%	60	-1.0	244/321/393	149	293	18	4	22%	8%	101	+1.2
✕Steve Tolleson 2007 · A	23	46→53	42→45	44→50	51	225/299/332	107	273	9	9	21%	9%	78	+0.2	242/309/344	102	308	8	14	22%	8%	85	+0.7	255/312/378	123	303	11	12	19%	7%	91	+0.9
✕Zelous Wheeler 2009 · A	22	46→52	43→50	43→45	44	223/280/332	109	286	10	7	25%	6%	70	-0.3	235/308/347	112	291	10	8	21%	8%	85	+0.7	239/314/372	132	281	13	7	19%	8%	92	+0.9
✕Lou Marson 2009 · AA	23	55→54	40	44→50	51	258/331/355	97	338	7	4	24%	9%	97	+1.5	233/305/324	91	298	6	9	22%	9%	78	+0.2	219/293/303	85	278	5	10	21%	9%	65	-0.4
●Connor Norby 2022 · A	22	48→49	42→55	48→50	45	228/302/336	108	326	10	11	31%	8%	80	+0.4	236/297/399	163	309	19	11	29%	7%	95	+1.4	245/305/413	168	324	20	11	29%	7%	99	+1.5
●Jake Smolinski 2011 · A	22	47→50	43→55	42→45	46	230/284/345	115	276	9	6	20%	6%	75	-0.0	224/294/331	107	268	9	8	19%	8%	76	+0.0	243/303/403	161	276	17	6	19%	6%	96	+1.0
✕Alexander Campos 2022 · A	22	43	41→40	46→45	48	206/290/308	102	278	8	6	27%	9%	69	-0.4	221/302/309	88	318	7	6	30%	9%	74	-0.1	242/332/316	74	335	8	6	27%	10%	86	+0.3
✕Darin Holcomb 2009 · A	23	53→55	45	42→40	50	259/315/392	133	287	12	5	14%	7%	100	+1.7	247/301/369	122	276	12	4	15%	7%	88	+0.9	247/301/362	115	276	11	2	15%	7%	84	+0.5