Blayberg Diaz — OGILVIE

Blayberg DiazC Wisconsin Timber Rattlers

Age 23 R/R 6'0" / 190 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION157 act + 20 ros · stats below = ROS only

showingROS

wRC+†38

AVG/OBP/SLG.211 / .250 / .263

PA20

HR0

K%30

BB%5

BABIP272

ISO53

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	18	ROK	ACL Brewers Gold	—	127	113	32	3	0	4	8	22	5	2	0	283	357	416	773	133	318	17	6	347	121	+3	+0	—	—	+3	0.6
2022	19	ROK	ACL Brewers Gold	—	134	108	20	1	0	3	17	22	4	5	0	185	318	278	596	93	193	16	13	275	72	-4	+1	—	—	+3	-0.1
2023	20	A	Carolina Mudcats	—	195	185	46	4	1	0	7	42	1	1	1	249	280	281	561	32	317	22	4	254	58	-10	-0	—	—	+4	-0.6
2024	21	A	Carolina Mudcats	—	258	229	57	13	0	1	19	52	8	3	1	249	328	319	647	70	315	20	7	298	88	-4	+0	—	—	+6	0.2
2025	22	A+	Wisconsin Timber Rattlers	—	200	184	42	12	0	0	11	46	5	1	2	228	290	293	583	65	304	23	6	270	69	-7	-1	—	—	+4	-0.4
2025	22	A	Carolina Mudcats	—	46	42	13	1	0	0	4	3	0	0	1	310	370	333	703	24	333	7	9	325	106	+0	-0	—	—	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	ACL Brewers Gold	—	127	116	24	2	0	3	5	32	5	2	0	207	270	302	572	95	249	25	4	250	55	-7	+0	—	—	+3	-0.4
2022	19	ROK MLE	ACL Brewers Gold	—	134	115	16	1	0	2	10	32	4	5	0	139	233	200	433	61	152	24	7	201	22	-12	+1	—	—	+3	-0.9
2023	20	A MLE	Carolina Mudcats	—	195	188	37	3	1	0	4	60	1	1	1	197	218	223	441	27	277	31	2	193	17	-19	-0	—	—	+4	-1.6
2024	21	A MLE	Carolina Mudcats	—	258	236	46	10	0	1	12	73	8	3	1	195	258	250	508	55	273	28	5	230	42	-18	+0	—	—	+6	-1.2
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	200	187	33	9	0	0	8	66	5	1	2	176	230	225	455	48	267	33	4	202	23	-18	-1	—	—	+4	-1.5
2025	22	A MLE	Carolina Mudcats	—	46	43	13	1	0	0	3	4	0	0	1	302	348	326	673	23	326	9	7	290	82	-1	-0	—	—	+1	-0.0
2021	18	ROK MLE	ACL Brewers Gold	—	127	116	24	2	0	3	5	32	5	2	0	207	270	302	572	95	256	25	4	250	55	—	—	—	—	—	—
2021	18	ROK RAW	ACL Brewers Gold	—	127	113	32	3	0	4	8	22	5	2	0	283	357	416	773	133	318	17	6	347	55	—	—	—	—	—	—
2022	19	ROK MLE	ACL Brewers Gold	—	134	115	16	1	0	2	10	32	4	5	0	139	233	200	433	61	163	24	7	201	22	—	—	—	—	—	—
2022	19	ROK RAW	ACL Brewers Gold	—	134	108	20	1	0	3	17	22	4	5	0	185	318	278	596	93	193	16	13	275	22	—	—	—	—	—	—
2023	20	A MLE	Carolina Mudcats	—	195	188	37	3	1	0	4	60	1	1	1	197	218	223	441	27	285	31	2	193	17	—	—	—	—	—	—
2023	20	A RAW	Carolina Mudcats	—	195	185	46	4	1	0	7	42	1	1	1	249	280	281	561	32	317	22	4	254	17	—	—	—	—	—	—
2024	21	A MLE	Carolina Mudcats	—	258	236	46	10	0	1	12	73	8	3	1	195	258	250	508	55	274	28	5	230	42	—	—	—	—	—	—
2024	21	A RAW	Carolina Mudcats	—	258	229	57	13	0	1	19	52	8	3	1	249	328	319	647	70	315	20	7	298	42	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	246	230	46	10	0	0	11	70	5	1	3	200	252	243	496	43	287	28	4	218	34	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	246	226	55	13	0	0	15	49	5	1	3	243	305	301	606	58	311	20	6	280	34	—	—	—	—	—	—
2021	18	ROK MLE	ACL Brewers Gold	—	127	116	24	2	0	3	5	32	5	2	0	207	270	302	572	95	249	25	4	250	55	—	—	—	—	—	—
2022	19	ROK MLE	ACL Brewers Gold	—	134	119	16	1	0	2	10	32	4	5	0	134	233	193	426	59	152	24	7	201	22	—	—	—	—	—	—
2023	20	A MLE	Carolina Mudcats	—	195	188	37	3	1	0	4	60	1	1	1	197	218	223	441	27	277	31	2	193	17	—	—	—	—	—	—
2024	21	A MLE	Carolina Mudcats	—	258	236	46	10	0	1	12	73	8	3	1	195	258	250	508	55	273	28	5	230	42	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	246	228	46	10	0	0	11	70	5	1	3	202	252	246	498	44	278	28	4	218	34	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	Carolina Mudcats	—	195	188	37	3	1	0	4	60	1	1	1	197	218	223	441	27	277	31	2	193	17	—	—	—	—	—	—
2024	21	A MLE	Carolina Mudcats	—	258	236	46	10	0	1	12	73	8	3	1	195	258	250	508	55	273	28	5	230	42	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	246	228	46	10	0	0	11	70	5	1	3	202	252	246	498	44	278	28	4	218	34	—	—	—	—	—	—
YTD	23	A+ MLE	MIL	—	157	145	28	5	0	0	8	49	3	0	0	193	250	228	478	34	289	31	5	214	31	-13	+0	+0	+3	+3	-0.7
▸ 2026 season
YTD	23	A+ RAW	MIL	—	157	142	32	6	0	0	11	36	3	0	0	225	295	268	562	42	299	23	7	262	31	—	—	—	—	—	—
ROS	23	A+ MLE	MIL	0%	20	19	4	1	0	0	1	6	0	0	0	211	250	263	513	53	274	30	5	224	38	-1	+0	+0	+0	+0	-0.1
TOT	23	A+ MLE	MIL	—	177	164	32	6	0	0	9	55	3	0	0	195	250	232	482	37	291	31	5	215	32	-14	+0	+0	+3	+4	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	MIL	30%	282	261	53	10	1	2	14	76	5	2	1	203	257	272	529	69	276	27	5	243	50	-17	+0	+0	+5	+6	-0.6
2028	25	MLB MLE	MIL	44%	352	324	68	13	1	4	19	93	6	3	2	210	266	293	560	83	278	26	5	255	59	-17	-0	+0	+6	+8	-0.4
2029	26	MLB MLE	MIL	51%	398	367	79	15	1	6	22	104	6	4	3	215	271	311	582	95	279	26	6	262	63	-17	-0	+0	+7	+9	-0.2
2030	27	MLB MLE	MIL	52%	419	385	83	16	1	6	24	110	7	4	3	216	274	309	583	94	279	26	6	263	64	-18	-0	+0	+7	+9	-0.2
2031	28	MLB MLE	MIL	53%	430	395	84	16	1	6	25	113	7	5	3	213	272	304	575	91	278	26	6	262	64	-19	-0	-1	+8	+9	-0.3
2032	29	MLB MLE	MIL	53%	429	394	84	16	1	6	25	114	7	5	3	213	272	305	577	91	277	27	6	260	62	-19	-0	-1	+8	+9	-0.4
2027	24	MLB CTX	MIL	30%	85	80	16	3	0	1	4	23	1	1	0	200	247	275	522	75	274	27	5	230	50	-5	+0	+0	+2	+2	-0.1
2028	25	MLB CTX	MIL	44%	156	145	30	6	0	2	8	41	2	1	1	207	258	290	548	83	276	26	5	243	59	-8	-0	+0	+3	+3	-0.2
2029	26	MLB CTX	MIL	51%	202	186	39	7	0	3	11	53	3	2	1	210	265	296	561	86	277	26	5	250	63	-9	+0	+0	+4	+4	-0.1
2030	27	MLB CTX	MIL	52%	220	202	43	8	0	4	13	58	3	2	1	213	271	312	583	99	277	26	6	252	64	-9	+0	+0	+4	+5	-0.1
2031	28	MLB CTX	MIL	53%	229	210	44	8	0	4	13	60	4	2	2	210	269	305	573	95	276	26	6	251	64	-10	-0	-0	+4	+5	-0.2
2032	29	MLB CTX	MIL	53%	225	207	43	8	0	3	13	60	3	2	2	208	265	290	554	82	276	27	6	249	62	-10	-0	-1	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1117	1030	215	40	0	17	62	295	16	10	7	209	264	297	562	88	274	26	6	248	53	-51	-1	-1	+20	+24	-0.9
/ 162G	—	A+C		—	650	599	125	23	0	10	36	172	9	6	4	209	264	297	561	88	274	26	6	248	53	-30	-0	-1	+12	+14	-0.5
Career	—	MLE		—	3290	3030	624	113	7	36	172	883	61	35	20	206	263	283	546	78	276	27	5	246	53	-109	-1	-2	+42	+50	-2.0
/ 162G	—	MLE		—	650	599	122	22	1	7	34	174	12	7	4	204	260	279	539	75	273	27	5	246	53	-30	-0	-1	+12	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.7	1,119	16	11	213	267	303	+20	+12	-0.1	0.0
/162	664	9	7	+11.9	+7.1	-0.0	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Blayberg Diaz (OGILVIE)	23	35	25	40	25	193/244/238	44	274	0	1	28%	4%	38	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roberto Baldoquin 2017 · A	23	41	34→30	41→45	36	192/236/242	49	283	2	6	32%	5%	35	-3.4	212/258/284	72	300	4	7	29%	5%	53	-2.1	212/258/283	71	296	4	6	28%	4%	50	-1.1
✕Jairo Rodriguez 2012 · A	23	39	35→30	46→30	41	187/226/248	61	230	3	5	20%	4%	33	-3.6	212/256/271	59	265	3	3	20%	5%	49	-2.4	213/256/261	47	260	2	1	18%	4%	45	-0.9
✕Victor Moscote 2016 · A	22	43	34→30	43→45	43	201/255/254	54	266	2	4	24%	6%	45	-2.7	204/261/269	65	280	3	4	26%	6%	51	-2.2	216/283/267	51	281	3	2	22%	6%	56	-0.5
✕Toby Gardenhire 2007 · A	24	39	34→30	37→40	39	186/229/233	46	249	2	4	25%	4%	30	-3.8	216/263/261	45	283	2	5	23%	5%	49	-2.4	232/285/261	29	283	1	3	17%	5%	54	-0.9
✕Chuck Moorman 2017 · A	23	37	37→40	39→30	36	184/216/253	69	253	4	4	29%	4%	30	-3.8	195/239/282	87	280	7	3	31%	5%	46	-2.6	187/232/269	82	271	7	0	32%	5%	38	-1.5
✕Jose Rivera 2012 · A	22	38	35→40	40→45	38	182/219/236	54	245	2	5	26%	4%	27	-4.0	205/249/276	71	259	3	5	21%	4%	48	-2.5	202/249/275	73	251	3	4	20%	4%	45	-0.9
✕Bryan Johns 2012 · A	23	40	36→30	47→45	36	191/239/257	67	290	4	7	34%	5%	40	-3.1	197/273/262	65	281	3	6	28%	8%	55	-2.0	184/269/238	54	261	2	5	27%	9%	47	-1.0
✕Alejandro Torres 2012 · A	23	37	37→40	46→40	35	182/219/253	71	267	5	5	33%	4%	31	-3.7	206/261/282	76	313	5	6	33%	6%	54	-2.0	206/271/236	30	326	0	0	34%	7%	47	-0.4
✕Shawn Roof 2008 · A	23	44	35→30	45→50	43	204/266/259	55	283	2	9	27%	6%	51	-2.2	226/286/279	53	297	2	10	23%	6%	63	-1.4	245/294/293	48	320	1	17	22%	5%	65	-0.5
✕Luis Sanchez 2010 · AA	23	41	35→30	45→40	44	194/252/250	55	266	2	4	27%	7%	43	-2.8	199/254/271	72	275	4	7	27%	6%	49	-2.4	161/208/189	28	227	0	4	27%	5%	13	-0.9
✕Pat Leyland 2015 · A	23	37	36→30	47→30	38	180/203/241	61	217	5	4	20%	2%	22	-4.4	216/254/287	71	267	5	5	20%	5%	52	-2.2	234/269/282	48	285	2	0	18%	4%	56	-0.8
✕Kyle Knudson 2011 · A	23	43	37→30	44→30	36	207/250/280	73	299	5	4	31%	4%	49	-2.4	214/272/278	64	304	4	2	29%	6%	57	-1.8	222/291/277	55	303	3	0	26%	7%	62	-0.5
✕Erick Castillo 2016 · A	23	43	36→30	45→30	41	205/239/266	60	247	3	4	18%	4%	42	-2.9	199/244/259	60	257	4	3	23%	4%	42	-2.9	191/250/230	39	236	3	0	20%	4%	36	-0.9
✕David Masters 2016 · A	23	38→37	35→45	38→40	43	183/243/240	57	247	3	5	26%	6%	38	-3.2	181/243/263	82	246	8	3	28%	7%	44	-2.8	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Seth Dhaenens 2007 · A	23	43	34→30	40→30	42	201/251/248	47	268	2	7	25%	6%	42	-2.9	209/261/261	52	299	1	5	28%	6%	49	-2.4	206/259/244	38	297	0	3	29%	6%	42	-0.9
✕Jose Lopez 2008 · A	23	43	35→30	41→30	36	203/253/263	60	293	2	3	30%	4%	47	-2.6	212/258/288	76	297	6	6	29%	5%	54	-2.0	203/228/251	49	273	7	0	28%	3%	31	-0.8
✕Matt Pagnozzi 2006 · AA	23	38	37→40	45→40	41	181/243/253	71	264	4	7	31%	7%	41	-3.0	191/243/270	79	272	5	4	30%	5%	45	-2.7	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Ben Gobbel 2023 · A	23	42→41	36→45	47→50	41	197/257/265	68	280	4	7	30%	6%	49	-2.4	211/269/323	112	288	12	13	30%	6%	68	-1.0	212/261/335	123	271	15	11	27%	4%	64	-0.9
✕Nick Lovullo 2017 · A	23	39	36→30	45→40	38	187/232/254	66	266	4	6	30%	5%	36	-3.3	201/255/265	64	268	4	5	25%	6%	48	-2.5	192/248/245	54	257	3	3	25%	6%	38	-1.6
✕George Soto 2009 · A	23	39	35→40	45	39	186/231/247	61	256	2	6	27%	5%	34	-3.5	173/237/238	65	251	4	8	31%	6%	36	-3.4	146/222/212	66	206	6	9	30%	7%	25	-1.3

Career Stats + Projections

Career Comps

Career Path Comps