Henry Godbout — OGILVIE

Henry GodboutSS Greenville Drive

Age 22 R/R 6'0" / 190 lbs A+ HR -5%K -4% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION281 act + 9 ros · stats below = ROS only

showingROS

wRC+†100

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

PA9

HR0

K%22

BB%11

BABIP300

ISO142

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$38M ctrl surplus

Tools · ContractCON 55 / POW 43

Toolsscout grade

CONTACT55

scouting grade only

POWER43

scouting grade only

EYE53

scouting grade only

SPEED42

scouting grade only

DEFENSE47

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	+1.0	$6M	+$6M
2030	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2031	Pre-Arb	$0.9M	+1.2	$7M	+$6M
2032	Arb-1	$4M	+1.1	$6M	+$3M
2033	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2034	Arb-3	$8M	+0.8	$2M	+$0.0M (cut)
Totals		$7M		$29M	+$21M

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	21	A+	Greenville Drive	—	55	44	15	6	0	0	9	6	2	1	1	341	473	477	950	136	395	11	16	429	176	+5	-0	—	—	+1	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Greenville Drive	—	55	47	14	5	0	0	6	9	2	1	1	298	400	404	804	106	342	16	11	336	114	+1	-0	—	—	+1	0.2
2025	21	A+ MLE	Greenville Drive	—	55	47	14	5	0	0	6	9	2	1	1	298	400	404	804	106	368	16	11	336	114	—	—	—	—	—	—
2025	21	A+ RAW	Greenville Drive	—	55	44	15	6	0	0	9	6	2	1	1	341	473	477	950	136	395	11	16	429	114	—	—	—	—	—	—
2025	21	A+ MLE	Greenville Drive	—	55	47	14	5	0	0	6	9	2	1	1	298	400	404	804	106	342	16	11	336	114	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A+ MLE	Greenville Drive	—	55	47	14	5	0	0	6	9	2	1	1	298	400	404	804	106	342	16	11	336	114	—	—	—	—	—	—
YTD	22	A+ MLE	BOS	—	281	245	60	9	0	12	22	70	12	9	4	245	337	429	765	184	291	25	8	326	107	+2	+0	+0	+3	+6	1.2
▸ 2026 season
YTD	22	A RAW	BOS	—	23	14	4	0	0	0	6	2	3	2	0	286	565	286	851		333	9	26	435	107	—	—	—	—	—	—
YTD	22	A+ RAW	BOS	—	161	130	36	7	0	7	22	27	8	2	3	277	412	492	905	215	299	17	14	402	107	—	—	—	—	—	—
YTD	22	AA RAW	BOS	—	97	90	28	4	0	8	5	25	1	5	1	311	354	622	976	311	345	26	5	417	107	—	—	—	—	—	—
ROS	22	A+ MLE	BOS	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		294	22	11	315	100	-0	+0	-0	+0	+0	0.0
TOT	22	A+ MLE	BOS	—	290	253	61	9	0	12	23	72	12	9	4	241	333	419	752	178	287	25	8	326	107	+2	+0	-0	+3	+6	1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	BOS	43%	310	275	64	11	1	10	25	82	7	5	2	233	313	389	702	156	293	26	8	316	100	-0	+0	-0	+3	+7	1.0
2028	24	MLB MLE	BOS	58%	391	348	83	15	1	13	32	101	8	6	2	239	317	399	716	161	294	26	8	319	102	+1	+0	-0	+4	+8	1.4
2029	25	MLB MLE	BOS	65%	427	380	91	16	2	14	35	109	9	7	2	239	318	403	721	163	294	26	8	321	103	+2	+1	-0	+5	+9	1.6
2030	26	MLB MLE	BOS	68%	449	400	96	17	2	15	37	114	9	7	3	240	318	405	723	165	294	25	8	321	104	+2	+0	-0	+5	+10	1.7
2031	27	MLB MLE	BOS	68%	455	405	96	17	2	15	38	116	9	7	3	237	316	400	716	163	294	25	8	321	104	+2	+0	-0	+5	+10	1.7
2032	28	MLB MLE	BOS	68%	454	403	96	17	2	15	39	117	9	7	2	238	319	402	721	164	293	26	9	321	103	+2	+1	-1	+5	+10	1.6
2033	29	MLB MLE	BOS	66%	446	396	94	17	1	15	38	115	9	6	2	237	318	399	717	162	293	26	9	319	102	+1	+0	-2	+5	+10	1.4
2034	30	MLB MLE	BOS	66%	437	387	90	16	1	14	38	114	9	6	2	233	316	388	703	155	292	26	9	316	100	+0	+0	-2	+5	+9	1.2
2035	31	MLB MLE	BOS	65%	424	377	86	15	1	13	36	112	8	5	2	228	309	377	685	149	290	26	8	312	98	-1	+0	-3	+5	+9	1.0
2036	32	MLB MLE	BOS	65%	405	359	81	14	1	12	35	109	8	5	2	226	308	370	679	145	287	27	9	307	94	-3	+0	-4	+4	+9	0.7
2037	33	MLB MLE	BOS	65%	376	334	75	13	1	11	32	103	7	4	2	225	306	368	674	144	283	27	9	300	89	-5	+0	-5	+4	+8	0.3
2038	34	MLB MLE	BOS	60%	331	294	63	10	1	9	28	93	6	4	1	214	296	347	643	133	278	28	8	292	84	-6	+0	-5	+4	+7	-0.1
2027	23	MLB CTX	BOS	43%	134	119	28	5	0	4	11	35	3	2	1	235	316	378	694	143	299	26	8	302	100	-0	+0	-0	+1	+3	0.4
2028	24	MLB CTX	BOS	58%	227	201	49	9	1	7	19	59	5	4	1	244	324	403	727	159	300	26	8	306	102	+1	+0	-0	+2	+5	0.8
2029	25	MLB CTX	BOS	65%	277	246	60	11	1	9	23	71	6	4	2	244	324	407	730	163	300	26	8	308	103	+1	+0	-0	+3	+6	1.0
2030	26	MLB CTX	BOS	68%	305	271	65	12	1	10	25	78	6	5	2	240	318	402	720	162	300	26	8	309	104	+1	+0	-0	+3	+7	1.1
2031	27	MLB CTX	BOS	68%	309	274	66	12	1	10	26	79	6	5	2	241	320	401	722	161	300	26	8	309	104	+1	+0	-0	+3	+7	1.2
2032	28	MLB CTX	BOS	68%	309	274	66	12	1	10	26	79	6	4	2	241	320	401	722	161	299	26	8	308	103	+1	+0	-1	+3	+7	1.1
2033	29	MLB CTX	BOS	66%	296	263	63	12	1	9	25	77	6	4	2	240	320	395	715	156	299	26	8	307	102	+1	+0	-1	+3	+6	0.9
2034	30	MLB CTX	BOS	66%	286	253	60	11	1	9	25	75	6	4	1	237	320	395	716	158	298	26	9	304	100	+0	+0	-2	+3	+6	0.8
2035	31	MLB CTX	BOS	65%	276	245	58	11	1	8	24	73	5	4	1	237	318	388	705	151	296	26	9	300	98	-1	+0	-2	+3	+6	0.7
2036	32	MLB CTX	BOS	65%	262	233	54	10	1	8	22	70	5	3	1	232	312	386	698	155	293	27	8	295	94	-2	+0	-2	+3	+6	0.4
2037	33	MLB CTX	BOS	65%	243	215	50	9	1	7	21	66	5	3	1	233	315	381	697	149	289	27	9	289	89	-3	+0	-3	+3	+5	0.2
2038	34	MLB CTX	BOS	60%	199	176	38	7	0	5	17	56	4	2	1	216	299	341	640	125	283	28	9	280	84	-4	+0	-3	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3123	2770	657	121	10	96	264	818	63	44	17	237	318	392	710	155	300	26	8	302	99	-4	+2	-15	+33	+68	8.6
/ 162G	—	A+C		—	650	577	136	25	2	20	55	170	13	9	4	236	316	390	706	154	297	26	8	302	99	-1	+0	-3	+7	+14	1.8
Career	—	MLE		—	4969	4413	1030	183	16	156	420	1296	100	70	26	233	314	388	702	155	293	26	8	315	99	-6	+4	-24	+53	+106	13.5
/ 162G	—	MLE		—	650	577	134	24	2	20	55	170	13	9	3	232	313	385	698	153	292	26	8	315	99	-1	+1	-3	+7	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.7	3,124	100	44	234	311	391	+32	-8	11.6	10.1
/162	664	21	9	+6.8	-1.7	2.5	pk7: 9
#5Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#6Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8

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	45→43	45→42	53	231/313/386	155	294	4	3	27%	8%	100	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Ryan Jeffers 2019 · A	22	52→56	43→60	44→40	47	250/320/360	111	317	10	3	24%	8%	95	+1.0	221/288/351	130	297	16	2	29%	7%	81	-0.1	250/339/433	183	282	21	2	19%	10%	116	+1.8
✕Logan O'Hoppe 2022 · AAA	22	43→48	48→55	46→45	43	221/272/355	134	264	16	7	24%	6%	76	-0.4	236/307/409	173	277	23	6	24%	8%	102	+1.5	238/313/422	183	282	26	4	25%	8%	105	+1.1
●Iván Herrera 2022 · AA	22	41→51	47→50	40→50	47	212/289/339	127	271	16	4	28%	9%	79	-0.2	238/325/362	124	309	12	10	25%	10%	97	+1.1	268/364/419	151	313	19	10	19%	10%	122	+2.5
✕Matt Vierling 2019 · A	22	47→55	46→50	43→50	38	235/279/367	132	301	13	9	26%	4%	81	-0.1	208/262/305	97	279	9	14	27%	6%	61	-1.5	254/314/393	138	307	13	10	21%	7%	97	+1.0
●Vinnie Catricala 2011 · A	22	48→57	47→55	46→45	42	239/296/379	140	302	15	6	25%	6%	91	+0.6	238/290/375	137	291	14	8	23%	6%	87	+0.4	228/279/354	126	277	13	7	22%	5%	76	-0.4
✕Jordan Diaz 2022 · A	21	48→57	48→55	41→30	43	244/288/390	146	290	16	5	22%	6%	90	+0.6	259/299/413	154	303	18	2	21%	5%	99	+1.3	261/303/419	158	303	20	0	21%	5%	99	+1.0
●David Freitas 2012 · A	23	47→57	45	45→40	51	233/309/354	122	288	13	3	23%	9%	90	+0.6	224/288/342	118	273	12	2	22%	7%	79	-0.2	273/334/387	114	329	10	0	19%	7%	103	+0.8
●Alex Liddi 2011 · AA	22	51→60	49→55	45→50	40	249/299/409	160	342	15	7	31%	6%	98	+1.2	223/274/379	156	319	17	8	34%	6%	82	-0.0	216/269/378	162	286	22	8	32%	6%	79	-0.1
●Tyler Flowers 2008 · A	22	48→55	46→50	41→40	46	237/294/376	139	294	13	4	24%	7%	88	+0.5	238/320/392	154	323	15	5	29%	10%	103	+1.5	260/361/411	151	335	17	0	25%	10%	120	+1.5
●Luis Urías 2020 · MLB	23	49→59	46→55	47→45	49	240/318/375	135	298	13	6	23%	8%	98	+1.2	239/324/394	155	290	17	6	23%	10%	105	+1.7	237/332/395	158	281	19	4	21%	10%	105	+1.1
✕Derek Norris 2011 · A	22	41→51	50→55	44→50	52	209/313/362	153	287	18	6	32%	12%	94	+0.9	209/299/374	165	271	20	11	29%	10%	91	+0.7	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Jake Lemmerman 2011 · A	22	52→50	48→45	44→45	43	254/310/405	150	331	15	6	27%	6%	101	+1.4	226/297/337	111	304	9	8	27%	8%	82	-0.0	214/293/316	103	289	8	9	27%	8%	73	-0.5
●Gordon Beckham 2009 · A	22	47→56	48→50	46→45	45	240/288/377	137	278	16	7	20%	6%	86	+0.3	253/317/399	146	291	14	7	18%	7%	103	+1.5	248/315/384	137	287	13	6	18%	7%	97	+1.0
✕Connor Wong 2018 · A	22	47→56	49→55	46→50	37	232/281/376	144	324	17	7	33%	5%	84	+0.2	209/261/370	161	335	20	8	42%	6%	76	-0.4	243/298/387	144	318	16	10	28%	6%	90	+0.4
●Max Ramirez 2007 · A	22	50→52	45→50	45→40	51	245/322/370	126	317	13	3	26%	10%	98	+1.2	246/325/396	150	329	17	3	28%	9%	105	+1.7	240/322/391	151	324	18	2	29%	9%	102	+1.0
✕Chun-Hsiu Chen 2011 · A	22	53→58	46→50	47→45	47	256/316/399	144	324	11	6	24%	7%	102	+1.5	242/301/371	129	333	12	6	29%	7%	90	+0.6	233/295/353	120	327	11	7	30%	7%	81	-0.0
✕Daniel Robertson 2016 · AA	22	51→54	43→45	40	47	244/311/359	114	301	9	4	21%	7%	91	+0.7	236/316/340	104	306	8	4	24%	9%	89	+0.5	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Eddys Leonard 2023 · A	22	44→46	48→50	44→50	42	221/289/365	144	293	15	5	29%	6%	85	+0.2	216/274/354	138	278	15	8	27%	5%	76	-0.4	209/263/347	138	261	16	9	26%	5%	69	-0.7
✕José Caballero 2019 · A	22	48→46	43→45	47→70	45	232/293/349	117	280	10	9	21%	6%	82	-0.0	219/293/329	110	283	9	26	25%	8%	78	-0.3	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Travis Denker 2008 · A	22	47→52	47→50	44→45	52	234/305/367	134	272	14	5	20%	9%	91	+0.7	224/289/340	116	280	10	5	22%	8%	78	-0.3	229/306/370	141	260	15	0	18%	8%	92	+0.4

Career Stats + Projections

Career Comps

Career Path Comps