Will Bush — OGILVIE

Will BushC Corpus Christi Hooks

Age 22 L/R 6'1" / 235 lbs AA HR -6% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION418 act + 9 ros · stats below = ROS only

showingROS

wRC+†74

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

PA9

HR0

K%33

BB%11

BABIP310

ISO115

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$11M ctrl surplus

Tools · ContractCON 36 / POW 51

Toolsscout grade

CONTACT36

scouting grade only

POWER51

scouting grade only

EYE70

scouting grade only

SPEED30

scouting grade only

DEFENSE40

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Arb-1	$3M	+0.7	$2M	+$0.0M (cut)
2032	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2033	Arb-3	$7M	+0.5	$1M	+$0.0M (cut)
Totals		$3M		$10M	+$3M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	19	ROK	FCL Astros	—	32	23	7	2	0	1	7	8	2	0	0	304	500	522	1.022	217	429	25	22	457	195	+4	+0	—	—	+1	0.4
2024	20	A	Fayetteville Woodpeckers	—	325	272	60	12	1	8	41	89	8	5	0	221	339	360	699	140	292	27	13	318	102	+1	+1	—	—	+7	0.9
2025	21	AA	Corpus Christi Hooks	—	99	80	14	4	0	3	14	21	5	3	0	175	333	338	671	163	196	21	14	315	99	-0	+1	—	—	+2	0.3
2025	21	A+	Asheville Tourists	—	297	247	61	12	0	12	44	84	5	7	1	247	372	441	813	194	322	28	15	364	133	+12	+1	—	—	+6	1.9
2025	21	INTL	Scottsdale Scorpions	—	45	31	8	2	0	1	13	15	1	1	0	258	489	419	908	161	467	33	29	422	172	+4	+0	—	—	+1	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	FCL Astros	—	32	26	6	2	0	1	4	11	2	0	0	231	375	423	798	192	330	34	12	314	99	-0	+0	—	—	+1	0.1
2024	20	A MLE	Fayetteville Woodpeckers	—	325	289	46	8	1	6	25	124	8	5	0	159	245	256	501	97	241	38	8	226	39	-24	+1	—	—	+7	-1.6
2025	21	AA MLE	Corpus Christi Hooks	—	99	84	13	4	0	2	10	25	5	3	0	155	283	274	557	119	193	25	10	261	63	-4	+1	—	—	+2	-0.2
2025	21	A+ MLE	Asheville Tourists	—	297	262	45	8	0	7	29	115	5	7	1	172	267	282	549	111	264	39	10	245	52	-17	+1	—	—	+6	-1.0
2023	19	ROK MLE	FCL Astros	—	32	26	6	2	0	1	4	11	2	0	0	231	375	423	798	192	357	34	12	314	99	—	—	—	—	—	—
2023	19	ROK RAW	FCL Astros	—	32	23	7	2	0	1	7	8	2	0	0	304	500	522	1.022	217	429	25	22	457	99	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	325	289	46	8	1	6	25	124	8	5	0	159	245	256	501	97	247	38	8	226	39	—	—	—	—	—	—
2024	20	A RAW	Fayetteville Woodpeckers	—	325	272	60	12	1	8	41	89	8	5	0	221	339	360	699	140	292	27	13	318	39	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	441	386	64	13	0	10	43	156	11	11	1	166	268	277	545	111	244	35	10	249	55	—	—	—	—	—	—
2025	21	A+ RAW	3 teams	—	441	358	83	18	0	16	71	120	11	11	1	232	375	416	791	184	300	27	16	359	55	—	—	—	—	—	—
2023	19	ROK MLE	FCL Astros	—	32	26	6	2	0	1	4	11	2	0	0	231	375	423	798	192	330	34	12	314	99	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	325	289	46	8	1	6	25	124	8	5	0	159	245	256	501	97	241	38	8	226	39	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	441	384	64	13	0	10	43	156	11	11	1	167	268	279	547	112	246	35	10	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Astros	—	32	26	6	2	0	1	4	11	2	0	0	231	375	423	798	192	330	34	12	314	99	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	325	289	46	8	1	6	25	124	8	5	0	159	245	256	501	97	241	38	8	226	39	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	441	384	64	13	0	10	43	156	11	11	1	167	268	279	547	112	246	35	10	249	55	—	—	—	—	—	—
YTD	22	AA MLE	HOU	—	418	362	72	11	0	10	51	172	5	16	7	199	306	312	618	113	344	41	12	277	74	-13	+0	+0	+7	+9	0.4
▸ 2026 season
YTD	22	AA RAW	HOU	—	418	340	79	12	0	13	73	141	5	16	7	232	376	382	758	150	355	34	17	349	74	—	—	—	—	—	—
ROS	22	AA MLE	HOU	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		308	33	11	277	74	-0	+0	-0	+0	+0	0.0
TOT	22	AA MLE	HOU	—	427	370	73	11	0	10	52	175	5	16	7	197	304	308	613	111	341	41	12	277	74	-13	+0	-0	+8	+9	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	HOU	26%	454	394	79	13	1	12	51	169	6	9	3	201	302	330	632	129	308	37	11	286	79	-11	+1	-1	+8	+10	0.7
2028	24	MLB MLE	HOU	37%	490	427	88	14	1	14	54	176	6	9	3	206	304	342	646	136	308	36	11	294	85	-9	+1	-1	+9	+11	1.1
2029	25	MLB MLE	HOU	43%	520	450	96	16	1	16	58	182	7	8	3	213	313	360	673	147	307	35	11	299	89	-7	+0	-1	+9	+11	1.3
2030	26	MLB MLE	HOU	47%	520	450	96	16	1	16	58	180	7	7	3	213	313	360	673	147	307	35	11	302	90	-6	+0	-1	+9	+11	1.4
2031	27	MLB MLE	HOU	48%	520	450	96	16	1	16	58	181	7	6	2	213	313	360	673	147	306	35	11	302	90	-6	+0	-1	+9	+11	1.4
2032	28	MLB MLE	HOU	48%	520	449	95	16	1	16	59	181	7	6	2	212	313	359	671	147	306	35	11	301	90	-6	+0	-2	+9	+11	1.3
2033	29	MLB MLE	HOU	48%	520	449	94	15	1	16	59	183	7	5	2	209	311	354	665	145	305	35	11	299	88	-7	+0	-2	+9	+11	1.1
2034	30	MLB MLE	HOU	47%	519	448	92	15	0	15	59	183	7	4	2	205	307	339	647	134	303	35	11	296	86	-8	+0	-3	+9	+11	0.9
2035	31	MLB MLE	HOU	47%	490	425	86	14	0	14	56	175	6	4	1	202	304	334	638	132	300	36	11	292	84	-10	+0	-4	+9	+11	0.7
2036	32	MLB MLE	HOU	47%	458	397	78	12	0	13	52	165	6	3	1	196	299	325	624	128	297	36	11	286	80	-11	+0	-4	+8	+10	0.3
2037	33	MLB MLE	HOU	46%	416	361	70	11	0	11	47	152	5	2	1	194	295	316	611	122	292	37	11	280	76	-12	+0	-5	+7	+9	-0.1
2038	34	MLB MLE	HOU	42%	363	315	59	9	0	9	41	135	4	2	1	187	289	302	590	114	286	37	11	272	70	-13	+0	-6	+6	+8	-0.4
2027	23	MLB CTX	HOU	26%	118	102	20	3	0	3	13	44	2	2	1	196	299	314	613	118	311	37	11	276	79	-3	+0	-0	+2	+3	0.2
2028	24	MLB CTX	HOU	37%	180	156	32	5	0	5	20	65	2	3	1	205	303	333	637	128	310	36	11	285	85	-3	+0	-0	+3	+4	0.4
2029	25	MLB CTX	HOU	43%	224	194	41	7	0	7	25	78	3	3	1	211	311	356	666	144	309	35	11	290	89	-3	+0	-0	+4	+5	0.6
2030	26	MLB CTX	HOU	47%	243	211	45	8	0	7	27	84	3	3	1	213	311	351	662	137	309	35	11	292	90	-3	+0	-0	+4	+5	0.7
2031	27	MLB CTX	HOU	48%	248	215	45	8	0	7	28	86	3	3	1	209	309	344	653	135	308	35	11	292	90	-3	+0	-0	+4	+5	0.7
2032	28	MLB CTX	HOU	48%	251	218	45	8	0	7	28	88	3	3	1	206	305	339	645	133	308	35	11	291	90	-3	+0	-1	+4	+5	0.6
2033	29	MLB CTX	HOU	48%	247	214	44	7	0	7	28	87	3	2	1	206	306	336	643	131	307	35	11	289	88	-3	+0	-1	+4	+5	0.5
2034	30	MLB CTX	HOU	47%	244	211	43	7	0	7	28	86	3	2	1	204	306	336	642	133	305	35	11	286	86	-4	+0	-1	+4	+5	0.4
2035	31	MLB CTX	HOU	47%	229	198	40	7	0	6	26	82	3	2	1	202	304	328	632	126	302	36	11	282	84	-4	+0	-2	+4	+5	0.3
2036	32	MLB CTX	HOU	47%	213	184	37	6	0	6	24	77	3	1	1	201	303	332	635	130	299	36	11	277	80	-5	-0	-2	+4	+5	0.1
2037	33	MLB CTX	HOU	46%	193	167	32	5	0	5	22	71	2	1	0	192	293	311	605	120	294	37	11	271	76	-6	+0	-2	+3	+4	-0.0
2038	34	MLB CTX	HOU	42%	152	132	25	4	0	4	17	57	2	1	0	189	291	311	602	121	288	38	11	263	70	-5	+0	-2	+3	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2542	2202	449	75	0	71	286	905	32	26	10	204	304	335	639	131	305	36	11	284	80	-46	+1	-14	+45	+55	4.3
/ 162G	—	A+C		—	650	563	114	19	0	18	73	231	8	7	3	202	303	332	635	130	303	36	11	284	80	-12	+0	-4	+12	+14	1.1
Career	—	MLE		—	6597	5724	1146	190	8	185	725	2356	96	81	25	200	301	333	634	133	299	36	11	287	80	-106	+3	-31	+104	+126	9.7
/ 162G	—	MLE		—	650	564	113	19	1	18	71	232	9	8	2	200	299	333	633	133	300	36	11	287	80	-12	+0	-3	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John 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
#2Jarrod 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
#3Robinson Chirinoslast yr '22 career totals — 10 seasons, 2,427 PA	3.7	2,427	95	5	227	320	420	+43	-10	12.9	13.8
/162	664	26	1	+11.9	-2.8	3.5	pk7: 15
#4Bobby 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
#5Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.8	2,551	74	28	205	302	342	+46	-20	7.0	6.2
/162	664	19	7	+11.9	-5.2	1.8	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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
Will Bush (OGILVIE)	22	30→36	50→51	35→30	70	190/293/303	113	308	7	9	39%	11%	74	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zack Collins 2018 · AA	23	36→42	48→50	41→40	47	183/275/321	138	287	16	2	39%	11%	70	-0.8	198/295/339	141	302	15	3	36%	12%	82	-0.0	193/300/335	143	284	15	2	34%	13%	81	-0.0
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕John Whittleman 2009 · AA	22	43	43→50	39→45	50	207/286/324	116	284	10	3	29%	10%	74	-0.5	194/273/316	122	262	12	3	29%	10%	68	-1.0	174/260/322	148	233	18	1	32%	10%	63	-1.0
✕Michael Pérez 2015 · A	22	36	43→50	41→40	40	180/248/296	116	288	11	3	39%	8%	53	-2.1	194/252/288	94	269	8	4	29%	7%	53	-2.1	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Omar Martinez 2022 · A	21	40→38	43→45	40	46	193/285/299	105	292	10	4	35%	10%	69	-0.9	201/286/325	124	292	14	5	33%	10%	75	-0.5	181/265/299	118	275	15	3	37%	10%	59	-1.2
✕Randy Florentino 2021 · A	21	43	40→50	42→45	47	204/282/302	97	297	7	6	32%	10%	68	-1.0	180/243/263	83	270	8	5	34%	7%	44	-2.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Anthony Seigler 2022 · A	23	41→39	42→45	44→55	45	197/273/305	109	295	9	6	34%	9%	65	-1.2	191/295/300	109	252	10	15	26%	12%	73	-0.6	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Jose Lobatón 2007 · A	22	44	42→45	42→30	47	210/289/319	109	299	10	4	31%	9%	74	-0.5	219/282/343	124	298	13	3	29%	8%	77	-0.3	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Jakson Reetz 2019 · A	23	41→33	40→55	39→45	43	198/274/287	88	281	8	5	30%	7%	61	-1.5	198/277/315	117	286	12	5	33%	7%	70	-0.9	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Drew Ellis 2019 · A	23	40→37	47→55	37→40	45	205/268/342	138	254	15	4	26%	7%	72	-0.7	205/283/350	145	268	16	3	28%	9%	80	-0.2	183/280/352	170	235	19	4	30%	10%	78	-0.2
✕Eric Haase 2015 · A	22	38→42	48→60	42→40	37	197/247/340	144	288	16	3	37%	6%	63	-1.3	192/249/351	159	292	17	4	39%	6%	67	-1.1	217/276/424	207	286	30	2	35%	7%	91	+0.5
✕Julian Leon 2019 · AAA	23	40	48→45	38→30	43	199/284/334	136	299	16	3	37%	9%	77	-0.3	187/277/296	109	308	11	5	39%	9%	65	-1.2	126/230/204	78	225	8	0	44%	10%	27	-1.7
✕Josh Ockimey 2018 · AA	22	43→45	47→50	39→30	44	209/281/342	133	311	14	3	36%	9%	76	-0.4	197/281/342	145	298	17	3	37%	10%	77	-0.3	175/272/314	139	261	17	0	37%	11%	66	-0.8
✕Brett Cumberland 2019 · AA	24	39→40	46→45	38→30	41	191/286/319	129	293	14	2	37%	8%	75	-0.5	197/300/318	121	289	12	3	34%	8%	80	-0.1	174/292/275	101	262	11	1	34%	8%	65	-0.5
✕Drew Ward 2017 · AA	22	44→46	43→50	40→30	39	211/269/319	107	320	11	2	36%	7%	66	-1.1	213/278/334	121	320	13	2	35%	8%	74	-0.6	203/269/354	151	312	18	1	39%	7%	72	-0.4
✕George Valera 2023 · AAA	22	42→40	51→50	44→45	48	214/298/373	159	287	19	6	31%	10%	90	+0.6	209/285/349	140	293	16	6	32%	9%	80	-0.2	215/282/349	134	280	16	5	28%	8%	76	-0.2
✕Niko Vasquez 2011 · A	22	41	41→50	40→45	47	199/280/302	102	284	8	3	31%	9%	67	-1.1	197/264/306	109	264	10	3	27%	8%	62	-1.4	221/278/353	132	287	16	6	28%	6%	76	-0.2
✕Johnny Monell 2008 · A	22	43→44	44→50	44→45	48	213/288/328	115	279	11	8	27%	9%	76	-0.4	232/294/362	130	290	12	8	23%	7%	85	+0.2	226/287/350	124	285	13	8	24%	7%	78	-0.1
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3

Career Stats + Projections

Career Comps

Career Path Comps