Broedy Poppell — OGILVIE

Broedy PoppellC San Jose Giants

Age 24 S/R 5'11" / 200 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION343 act + 9 ros · stats below = ROS only

showingROS

wRC+†67

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

PA9

HR0

K%33

BB%11

BABIP263

ISO115

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 20 / POW 43

Toolsscout grade

CONTACT20

scouting grade only

POWER43

scouting grade only

EYE52

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.8M	+$0.0M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	24	A MLE	SF	—	343	304	56	12	1	9	28	127	9	15	1	184	273	319	592	135	276	37	8	262	64	-15	+3	+0	+6	+7	0.1
▸ 2026 season
YTD	24	ROK RAW	SF	—	33	31	7	2	0	3	2	8	0	0	0	226	273	581	853	355	200	24	6	364	64	—	—	—	—	—	—
YTD	24	A RAW	SF	—	310	260	64	14	2	8	38	86	9	15	1	246	360	408	768	162	333	28	12	346	64	—	—	—	—	—	—
ROS	24	A MLE	SF	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		268	33	11	267	67	-0	+0	+0	+0	+0	-0.0
TOT	24	A MLE	SF	—	352	312	57	12	1	9	29	130	9	15	1	183	271	314	586	131	274	37	8	262	64	-15	+3	+0	+6	+8	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	30%	454	407	80	16	2	11	37	143	7	10	1	197	275	327	602	130	271	31	8	272	71	-16	+2	+0	+8	+10	0.4
2028	26	MLB MLE	SF	44%	490	438	88	17	2	12	41	151	8	10	1	201	281	331	612	130	272	31	8	277	73	-15	+2	+0	+9	+11	0.6
2029	27	MLB MLE	SF	49%	520	463	93	18	2	13	44	158	8	11	2	201	282	333	614	132	273	30	8	279	75	-15	+1	+0	+9	+11	0.7
2030	28	MLB MLE	SF	51%	520	463	94	18	2	13	44	158	8	11	2	203	283	335	618	132	273	30	8	279	75	-15	+1	-1	+9	+11	0.6
2031	29	MLB MLE	SF	51%	520	462	92	18	2	12	45	159	8	10	1	199	282	325	606	126	272	31	9	277	74	-16	+2	-1	+9	+11	0.5
2032	30	MLB MLE	SF	51%	520	462	92	18	2	12	45	160	8	10	1	199	282	325	606	126	271	31	9	275	72	-17	+2	-2	+9	+11	0.3
2033	31	MLB MLE	SF	56%	504	448	88	17	2	11	43	157	8	9	1	196	279	317	596	121	268	31	9	271	69	-18	+1	-3	+9	+11	0.0
2027	25	MLB CTX	SF	30%	137	123	24	5	1	3	11	43	2	3	0	195	272	325	597	130	265	31	8	254	71	-5	+1	+0	+2	+3	0.1
2028	26	MLB CTX	SF	44%	216	193	38	7	1	5	18	66	3	5	1	197	276	321	597	124	267	31	8	259	73	-7	+1	+0	+4	+5	0.2
2029	27	MLB CTX	SF	49%	255	228	45	9	1	6	21	78	4	5	1	197	277	325	601	127	268	31	8	261	75	-8	+1	+0	+5	+6	0.3
2030	28	MLB CTX	SF	51%	268	239	47	9	1	6	23	81	4	5	1	197	278	318	596	121	268	30	9	262	75	-8	+1	-0	+5	+6	0.3
2031	29	MLB CTX	SF	51%	268	239	47	9	1	6	23	82	4	5	1	197	278	318	596	121	267	31	9	260	74	-8	+1	-1	+5	+6	0.2
2032	30	MLB CTX	SF	51%	268	239	46	9	1	6	23	83	4	5	1	192	274	314	588	121	265	31	9	257	72	-9	+1	-1	+5	+6	0.1
2033	31	MLB CTX	SF	56%	281	251	48	9	1	6	24	87	4	5	1	191	272	307	579	116	263	31	9	253	69	-10	+1	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1693	1512	295	57	7	38	143	520	25	33	6	195	276	317	593	122	267	31	8	258	73	-55	+4	-4	+30	+37	1.3
/ 162G	—	A+C		—	650	581	114	22	3	15	55	200	10	13	2	196	278	322	599	126	268	31	8	258	73	-21	+2	-1	+12	+14	0.5
Career	—	MLE		—	3537	3151	628	122	14	84	300	1089	55	71	9	199	280	327	607	128	272	31	8	276	73	-114	+11	-7	+63	+77	3.0
/ 162G	—	MLE		—	650	579	115	22	3	15	55	200	10	13	2	199	279	325	604	126	272	31	8	276	73	-21	+2	-1	+12	+14	0.5

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
#2Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#3Bobby 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
#4Danny 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
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.0	2,011	47	40	200	277	327	+36	+16	2.8	2.7
/162	664	15	13	+11.9	+5.3	0.9	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
Broedy Poppell (OGILVIE)	24	20	43	53	52	189/270/311	122	268	7	10	33%	8%	67	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kaden Polcovich 2023 · AA	24	40→41	45	55	46	202/282/324	121	272	12	16	29%	8%	73	-0.6	200/281/310	110	279	10	18	30%	9%	70	-0.9	175/267/275	101	249	8	23	30%	9%	55	-0.7
✕David Sheaffer 2019 · A	24	36	42→50	52→40	39	184/231/287	103	246	10	7	29%	5%	44	-2.8	211/256/331	120	295	12	5	31%	5%	64	-1.3	193/238/303	110	272	11	1	33%	5%	49	-0.7
✕Jackson Cluff 2021 · A	24	40→30	42→45	51→60	40	198/263/305	106	283	9	12	32%	6%	61	-1.5	183/253/275	92	279	7	13	35%	7%	51	-2.2	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕River Town 2023 · A	24	40→38	45→40	55→50	46	202/283/328	125	257	12	15	26%	8%	75	-0.5	216/303/308	92	269	8	14	21%	9%	78	-0.3	215/312/285	70	264	6	15	19%	9%	74	-0.3
✕Chase Simpson 2016 · A	24	41→38	43→45	51→45	45	202/273/314	112	288	10	6	32%	9%	67	-1.1	192/256/311	119	279	11	6	33%	7%	60	-1.6	168/233/290	122	239	11	3	33%	7%	45	-1.1
✕Sicnarf Loopstok 2017 · A	24	43→37	42→50	50	38	209/268/316	107	294	9	13	31%	5%	65	-1.2	211/281/360	149	299	17	9	34%	7%	81	-0.1	199/275/365	165	277	21	7	34%	7%	81	-0.0
✕Patrick Bailey 2023 · A	24	38→48	46→45	47→45	46	195/269/321	126	268	13	5	31%	9%	68	-1.0	226/287/344	118	301	12	5	27%	8%	78	-0.3	231/291/344	113	305	11	4	27%	7%	78	-0.2
✕Marcus Littlewood 2016 · AA	24	39	44→45	46→45	47	198/263/315	116	252	12	5	26%	8%	63	-1.3	211/266/313	102	280	9	5	26%	7%	63	-1.3	201/257/291	90	268	8	2	27%	7%	53	-1.0
✕Willie MacIver 2021 · A	24	38→35	43→50	49→55	37	193/242/301	107	263	10	9	30%	5%	52	-2.2	194/263/314	120	281	13	15	34%	7%	63	-1.3	231/310/361	130	325	12	18	30%	8%	89	+0.3
✕Andres Sosa 2023 · A	25	39	42→40	52→45	47	188/290/298	110	270	9	9	31%	9%	72	-0.7	197/285/289	92	286	7	7	31%	8%	67	-1.1	185/274/262	78	273	5	4	31%	7%	54	-0.8
✕Jose Herrera 2021 · A	24	43	40	47→40	50	209/288/305	96	279	8	5	26%	10%	71	-0.8	218/290/310	92	290	9	5	26%	9%	72	-0.7	213/289/293	79	280	8	3	25%	9%	65	-0.6
✕Yasel Antuna 2023 · AA	23	37→35	43→45	48→50	48	187/270/293	106	259	11	14	30%	10%	61	-1.5	189/270/286	97	275	9	13	32%	9%	59	-1.6	143/232/224	81	211	7	12	33%	10%	31	-1.5
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Zack Short 2019 · AA	24	39	47→50	47→45	50	199/289/337	139	266	14	9	29%	10%	79	-0.2	195/287/330	135	276	14	7	32%	10%	77	-0.3	177/277/301	125	240	14	9	31%	11%	65	-0.9
✕Thomas Dillard 2021 · A	23	45→38	44→45	52→50	51	215/305/333	118	304	12	10	31%	11%	84	+0.1	196/283/318	122	326	13	9	40%	10%	72	-0.7	182/275/301	120	302	13	9	40%	10%	64	-1.1
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Sean Jamieson 2013 · A	24	41→45	43→45	53→50	48	203/279/317	114	256	10	15	24%	8%	70	-0.8	227/288/340	113	300	9	10	26%	6%	78	-0.3	236/295/344	109	315	9	9	26%	6%	78	-0.2
✕Devin Thomas 2009 · A	24	40	42→45	48→40	42	191/269/289	99	298	9	11	37%	8%	61	-1.5	209/269/309	100	347	7	7	39%	7%	64	-1.3	206/262/309	104	353	6	3	41%	6%	58	-0.9
✕Nick Vickerson 2014 · A	25	38	42→40	49→50	48	189/277/293	104	262	10	13	30%	10%	65	-1.2	203/300/302	99	285	9	11	29%	11%	76	-0.4	188/304/272	85	264	8	11	28%	12%	68	-0.6
✕Maverick Handley 2023 · AA	25	39	44→40	50	44	196/280/314	118	270	12	12	31%	8%	70	-0.8	201/290/289	88	281	7	11	29%	9%	68	-1.0	190/279/259	68	265	4	8	27%	9%	56	-0.7

Career Stats + Projections

Career Comps

Career Path Comps