Blaine Bullard — OGILVIE

Blaine BullardCF Dunedin Blue Jays

Age 19 S/L 6'2" / 180 lbs A Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION477 act + 9 ros · stats below = ROS only

showingROS

wRC+†64

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

PA9

HR0

K%33

BB%11

BABIP303

ISO110

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$7M ctrl surplus

Tools · ContractCON 52 / POW 40

Toolsscout grade

CONTACT52

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

DEFENSE55

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	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2033	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2034	Arb-3	$8M	+0.6	$1M	+$0.0M (cut)
Totals		$3M		$8M	+$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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	19	A MLE	TOR	—	477	430	82	17	2	6	32	185	10	37	5	191	263	281	544	91	311	39	7	245	52	-27	+5	+0	+2	+10	-1.0
▸ 2026 season
YTD	19	A RAW	TOR	—	477	417	102	20	3	8	44	130	10	37	5	245	331	365	695	120	331	27	9	313	52	—	—	—	—	—	—
ROS	19	A MLE	TOR	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		302	33	11	263	64	-0	+0	-0	+0	+0	-0.0
TOT	19	A MLE	TOR	—	486	438	83	17	2	6	33	188	10	37	5	189	262	279	540	89	309	39	7	245	52	-28	+5	-0	+2	+11	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	TOR	34%	515	464	99	20	3	9	37	163	9	18	3	213	284	328	612	114	303	32	7	277	73	-16	+2	-0	+2	+11	-0.1
2028	21	MLB MLE	TOR	48%	556	500	110	22	3	12	41	170	10	19	3	220	292	348	640	128	302	31	7	286	80	-14	+3	-0	+2	+12	0.3
2029	22	MLB MLE	TOR	54%	601	539	121	24	3	14	46	179	11	21	3	224	299	358	657	134	303	30	8	292	84	-12	+3	-0	+2	+13	0.6
2030	23	MLB MLE	TOR	57%	627	563	127	25	3	15	48	184	11	22	3	226	299	361	660	135	303	29	8	296	86	-10	+3	-0	+2	+14	0.9
2031	24	MLB MLE	TOR	57%	634	569	128	25	3	15	49	185	11	22	3	225	299	359	657	134	304	29	8	298	88	-9	+3	-0	+2	+14	1.0
2032	25	MLB MLE	TOR	57%	639	573	130	25	3	16	50	186	11	22	3	227	301	365	666	138	304	29	8	299	89	-9	+3	-0	+2	+14	1.1
2033	26	MLB MLE	TOR	56%	642	576	130	25	3	16	50	187	11	22	3	226	300	363	663	137	303	29	8	300	89	-8	+3	-0	+2	+14	1.1
2034	27	MLB MLE	TOR	55%	639	572	129	25	3	16	51	186	11	22	3	226	301	364	665	138	303	29	8	300	89	-8	+3	-0	+2	+14	1.1
2035	28	MLB MLE	TOR	55%	633	566	128	25	3	16	51	185	11	21	3	226	303	366	668	140	303	29	8	299	88	-9	+3	-1	+2	+14	0.9
2036	29	MLB MLE	TOR	53%	621	555	124	24	3	15	50	183	11	19	3	223	300	359	659	135	302	29	8	297	87	-10	+3	-2	+2	+13	0.7
2027	20	MLB CTX	TOR	34%	177	159	34	7	1	3	13	56	3	6	1	214	286	327	613	113	304	32	7	265	73	-6	+1	-0	+1	+4	-0.0
2028	21	MLB CTX	TOR	48%	269	242	53	10	1	6	20	82	5	9	1	219	292	343	635	124	304	30	7	274	80	-7	+1	-0	+1	+6	0.2
2029	22	MLB CTX	TOR	54%	326	292	66	13	2	7	25	97	6	11	2	226	300	356	656	130	304	30	8	280	84	-6	+1	-0	+1	+7	0.3
2030	23	MLB CTX	TOR	57%	355	319	72	14	2	8	27	104	6	12	2	226	298	357	656	132	304	29	8	284	86	-6	+2	-0	+1	+8	0.5
2031	24	MLB CTX	TOR	57%	358	321	73	14	2	9	28	104	6	12	2	227	301	368	669	140	305	29	8	286	88	-5	+2	-0	+1	+8	0.5
2032	25	MLB CTX	TOR	57%	361	324	74	14	2	9	28	105	6	13	2	228	302	367	669	139	305	29	8	287	89	-5	+2	-0	+1	+8	0.6
2033	26	MLB CTX	TOR	56%	363	326	74	14	2	9	28	106	6	13	2	227	300	365	665	138	305	29	8	288	89	-5	+2	-0	+1	+8	0.6
2034	27	MLB CTX	TOR	55%	354	317	72	14	2	9	28	103	6	12	2	227	302	369	671	142	305	29	8	288	89	-5	+2	-0	+1	+8	0.6
2035	28	MLB CTX	TOR	55%	347	310	71	14	2	9	28	102	6	11	2	229	305	374	679	145	304	29	8	287	88	-5	+1	-1	+1	+8	0.5
2036	29	MLB CTX	TOR	53%	332	296	67	13	2	8	27	98	6	10	2	226	304	365	669	139	303	30	8	285	87	-5	+1	-1	+1	+7	0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3242	2906	656	127	18	77	252	957	56	109	18	226	300	361	661	136	306	30	8	283	86	-54	+15	-3	+12	+70	4.1
/ 162G	—	A+C		—	650	583	131	25	4	15	51	192	11	22	4	225	300	358	658	134	305	30	8	283	86	-11	+3	-1	+2	+14	0.8
Career	—	MLE		—	6116	5485	1227	240	30	144	474	1811	107	208	30	224	298	357	655	133	304	30	8	295	86	-105	+30	-5	+22	+133	7.5
/ 162G	—	MLE		—	650	583	130	26	3	15	50	192	11	22	3	223	296	355	651	132	303	30	8	295	86	-11	+3	-1	+2	+14	0.8

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
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#4Michael 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
#5Gregory 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
#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 6 projected seasons	5.4	3,563	82	118	225	295	357	-18	+12	3.2	3.2
/162	664	15	22	-3.4	+2.2	0.6	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
Blaine Bullard (OGILVIE)	19	30→52	25→40	60	50	203/271/302	99	302	5	17	33%	7%	64	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Leody Taveras 2018 · A	19	45→53	39→50	52→55	44	217/261/304	87	269	6	12	22%	6%	59	-1.7	218/263/298	80	291	5	16	25%	6%	58	-1.7	245/296/373	128	305	13	20	23%	7%	86	+0.3
✕Juan Brito 2021 · A	19	47→48	41→50	53→45	48	227/287/331	103	273	8	13	20%	7%	76	-0.4	228/306/352	124	285	12	10	23%	9%	88	+0.4	229/316/366	137	276	13	9	21%	10%	94	+0.6
●Danny Santana 2010 · A	19	42→52	39→55	59→55	41	205/247/303	97	262	5	15	24%	5%	53	-2.1	211/247/304	93	292	7	15	29%	4%	53	-2.1	240/285/441	201	301	25	22	29%	5%	97	+0.7
✕Angel Genao 2023 · A	19	45→55	37→45	51→50	46	211/284/282	71	293	4	12	28%	8%	63	-1.3	242/292/348	106	310	7	11	23%	6%	80	-0.1	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Bryan Rincon 2023 · A	19	42→44	45	53→55	45	210/278/331	121	275	12	11	28%	8%	73	-0.6	192/286/292	100	274	9	22	30%	11%	68	-1.0	183/281/318	135	255	15	31	32%	11%	70	-0.5
✕Pedro Ramírez 2023 · A	19	51→55	40→45	53→55	43	244/293/346	101	299	6	14	20%	5%	80	-0.1	238/292/336	98	305	7	14	23%	6%	78	-0.3	255/308/363	108	313	9	21	21%	6%	87	+0.3
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Jorge Barrosa 2021 · A	20	45→49	38→45	55	44	215/279/298	83	279	5	18	24%	6%	65	-1.2	225/287/334	109	284	9	19	23%	7%	76	-0.4	224/293/340	117	276	10	20	22%	8%	76	-0.3
✕Arismendy Alcántara 2011 · A	19	44→49	39→55	57→55	44	210/262/301	91	273	5	14	24%	6%	59	-1.7	233/267/327	94	309	6	15	26%	4%	66	-1.1	234/276/378	144	307	14	25	28%	5%	80	-0.1
✕Alen Hanson 2012 · A	19	46→52	39→50	58→60	44	218/271/315	96	273	4	19	21%	6%	65	-1.2	236/283/372	136	299	10	20	23%	6%	83	+0.1	239/283/383	143	299	11	21	23%	5%	82	+0.0
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Che-Hsuan Lin 2008 · A	19	40→50	42→40	56→55	40	199/252/310	111	278	8	14	30%	6%	57	-1.8	223/287/309	86	277	6	19	20%	7%	70	-0.8	233/303/306	73	281	5	22	18%	8%	73	-0.6
✕Jonatan Clase 2021 · A	19	46	38→50	55→65	49	214/295/302	88	304	4	19	29%	10%	72	-0.7	205/281/334	129	306	12	34	34%	9%	75	-0.5	202/277/349	146	289	15	47	33%	8%	74	-0.5
✕Noelvi Marte 2021 · A	19	44→53	44→50	50→55	42	218/268/339	121	285	11	12	27%	6%	70	-0.8	228/293/365	137	300	15	16	28%	8%	86	+0.3	232/299/370	138	298	16	19	26%	8%	87	+0.3
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
●Leandro Castro 2008 · A	19	43→53	42→50	53→50	44	212/271/311	99	261	10	18	23%	6%	65	-1.2	211/250/308	97	266	8	14	23%	4%	56	-1.9	244/286/386	143	268	16	11	16%	5%	85	+0.2

Career Stats + Projections

Career Comps

Career Path Comps