Davis Diaz — OGILVIE

Davis DiazC Midland RockHounds

Age 23 R/R 5'10" / 188 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION407 act + 9 ros · stats below = ROS only

showingROS

wRC+†85

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

PA9

HR0

K%22

BB%11

BABIP291

ISO74

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$41M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE50

scouting grade only

SPEED40

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	+1.1	$7M	+$6M
2030	Pre-Arb	$0.9M	+1.2	$7M	+$7M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Arb-1	$3M	+1.0	$5M	+$3M
2033	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2034	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$28M	+$22M

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)
2024	21	A	Stockton Ports	—	68	53	12	3	0	0	8	9	7	0	0	226	397	283	680	57	273	13	12	334	112	+1	+0	—	—	+1	0.3
2025	22	A+	Lansing Lugnuts	—	242	211	46	7	0	2	28	38	1	2	1	218	312	280	592	62	254	16	12	276	73	-8	+0	—	—	+5	-0.3
2025	22	A	Stockton Ports	—	190	152	38	10	3	0	29	28	6	6	3	250	390	355	746	105	299	15	15	342	117	+4	+0	—	—	+4	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Stockton Ports	—	68	55	11	3	0	0	6	12	7	0	0	200	353	255	607	55	237	18	9	267	67	-3	+0	—	—	+1	-0.1
2025	22	A+ MLE	Lansing Lugnuts	—	242	220	37	5	0	2	19	53	1	2	1	168	237	218	456	50	205	22	8	206	26	-21	+0	—	—	+5	-1.7
2025	22	A MLE	Stockton Ports	—	190	161	33	8	2	0	20	37	6	6	3	205	316	280	595	75	256	19	11	274	72	-6	+0	—	—	+4	-0.2
2024	21	A MLE	Stockton Ports	—	68	55	11	3	0	0	6	12	7	0	0	200	353	255	607	55	256	18	9	267	67	—	—	—	—	—	—
2024	21	A RAW	Stockton Ports	—	68	53	12	3	0	0	8	9	7	0	0	226	397	283	680	57	273	13	12	334	67	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	432	381	70	13	2	2	39	90	7	8	4	184	272	244	516	60	231	21	9	236	46	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	432	363	84	17	3	2	57	66	7	8	4	231	347	311	658	80	273	15	13	305	46	—	—	—	—	—	—
2024	21	A MLE	Stockton Ports	—	68	55	11	3	0	0	6	12	7	0	0	200	353	255	607	55	237	18	9	267	67	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	432	383	70	13	2	2	39	90	7	8	4	183	272	243	514	60	227	21	9	236	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Stockton Ports	—	68	55	11	3	0	0	6	12	7	0	0	200	353	255	607	55	237	18	9	267	67	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	432	383	70	13	2	2	39	90	7	8	4	183	272	243	514	60	227	21	9	236	46	—	—	—	—	—	—
YTD	23	AA MLE	OAK	—	407	363	92	17	1	7	34	77	9	13	3	253	333	364	696	110	304	19	8	310	96	-2	+1	+0	+7	+9	1.6
▸ 2026 season
YTD	23	A+ RAW	OAK	—	127	106	32	11	0	3	19	16	2	1	0	302	417	491	908	189	333	13	15	405	96	—	—	—	—	—	—
YTD	23	AA RAW	OAK	—	217	185	54	8	1	4	24	33	7	10	2	292	394	411	804	119	336	15	11	365	96	—	—	—	—	—	—
YTD	23	AAA RAW	OAK	—	63	57	15	1	0	2	6	12	0	2	1	263	333	386	719	123	302	19	10	325	96	—	—	—	—	—	—
ROS	23	AA MLE	OAK	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		285	22	11	294	85	-0	+0	+0	+0	+0	0.0
TOT	23	AA MLE	OAK	—	416	371	93	17	1	7	35	79	9	13	3	251	330	358	689	108	301	19	8	310	96	-2	+1	+0	+7	+9	1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	OAK	39%	454	404	96	18	2	6	39	87	8	8	2	238	317	337	654	99	286	19	9	298	88	-7	+1	+0	+8	+10	1.2
2028	25	MLB MLE	OAK	56%	482	429	103	19	2	8	42	93	8	8	2	240	319	350	669	110	287	19	9	304	92	-5	+1	+0	+9	+10	1.6
2029	26	MLB MLE	OAK	64%	497	441	106	20	2	9	44	96	9	8	2	240	322	356	678	116	287	19	9	307	94	-4	+1	+0	+9	+11	1.7
2030	27	MLB MLE	OAK	66%	502	443	107	20	2	9	45	98	9	7	2	242	324	357	681	115	287	20	9	308	94	-3	+1	+0	+9	+11	1.7
2031	28	MLB MLE	OAK	67%	500	442	106	20	2	9	45	98	9	7	2	240	323	355	678	115	286	20	9	307	94	-4	+1	-1	+9	+11	1.6
2032	29	MLB MLE	OAK	66%	492	436	105	20	2	9	45	98	8	6	2	241	323	358	681	117	286	20	9	305	92	-4	+0	-1	+9	+11	1.4
2033	30	MLB MLE	OAK	65%	483	428	101	19	2	8	44	97	8	6	2	236	319	346	665	110	284	20	9	302	90	-6	+0	-2	+9	+10	1.2
2034	31	MLB MLE	OAK	65%	455	403	92	17	1	7	41	93	8	5	1	228	312	328	639	99	282	20	9	298	88	-7	+1	-3	+8	+10	0.9
2035	32	MLB MLE	OAK	65%	424	376	85	16	1	6	38	88	7	4	1	226	309	322	631	96	279	21	9	292	84	-8	+0	-4	+8	+9	0.6
2036	33	MLB MLE	OAK	64%	384	340	76	14	1	5	35	82	6	4	1	224	307	315	622	91	275	21	9	285	79	-10	+0	-4	+7	+8	0.2
2037	34	MLB MLE	OAK	60%	331	293	63	11	1	4	30	73	5	3	1	215	299	300	599	85	269	22	9	277	73	-10	+0	-5	+6	+7	-0.2
2027	24	MLB CTX	OAK	39%	176	156	37	7	1	2	15	34	3	3	1	237	316	333	649	96	292	19	9	288	88	-3	+0	+0	+3	+4	0.5
2028	25	MLB CTX	OAK	56%	269	239	58	12	1	4	23	52	5	4	1	243	322	351	674	109	292	19	9	295	92	-3	+0	+0	+5	+6	0.9
2029	26	MLB CTX	OAK	64%	317	281	70	14	1	6	28	61	5	5	1	249	328	370	698	121	293	19	9	298	94	-2	+1	+0	+6	+7	1.1
2030	27	MLB CTX	OAK	66%	330	292	71	14	1	6	29	64	6	5	1	243	324	360	684	116	293	19	9	299	94	-2	+1	+0	+6	+7	1.2
2031	28	MLB CTX	OAK	67%	334	295	72	14	1	6	30	66	6	5	1	244	326	359	686	115	292	20	9	298	94	-3	+1	-0	+6	+7	1.1
2032	29	MLB CTX	OAK	66%	324	287	70	14	1	6	29	64	5	4	1	244	324	362	686	118	291	20	9	296	92	-3	+0	-1	+6	+7	1.0
2033	30	MLB CTX	OAK	65%	315	278	67	13	1	5	29	63	5	4	1	241	324	349	673	108	290	20	9	293	90	-4	+0	-1	+6	+7	0.8
2034	31	MLB CTX	OAK	65%	295	261	62	12	1	5	27	60	5	3	1	238	321	349	669	111	288	20	9	289	88	-4	+0	-2	+5	+6	0.6
2035	32	MLB CTX	OAK	65%	274	242	57	11	1	4	25	57	5	3	1	236	320	339	659	103	284	21	9	283	84	-5	+0	-2	+5	+6	0.4
2036	33	MLB CTX	OAK	64%	248	220	49	9	1	3	22	53	4	2	1	223	305	314	619	91	280	21	9	277	79	-6	+0	-3	+4	+5	0.1
2037	34	MLB CTX	OAK	60%	198	175	40	7	1	3	18	44	3	2	0	229	311	331	643	103	274	22	9	268	73	-6	+0	-3	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3080	2726	653	127	11	50	275	618	52	40	10	240	321	349	670	110	291	20	9	291	85	-41	+4	-12	+55	+67	7.4
/ 162G	—	A+C		—	650	575	138	27	2	11	58	130	11	8	2	240	321	351	672	111	291	20	9	291	85	-9	+1	-3	+12	+14	1.6
Career	—	MLE		—	5513	4879	1122	210	20	82	494	1107	99	74	22	230	313	332	645	102	280	20	9	294	85	-67	+6	-20	+90	+109	12.0
/ 162G	—	MLE		—	650	575	133	25	2	10	58	131	12	9	3	231	315	334	649	103	281	20	9	294	85	-9	+1	-3	+12	+14	1.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3John 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
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Derek 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
#6Bobby 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.6	3,085	51	40	236	314	343	+55	+28	9.9	9.0
/162	664	11	9	+11.9	+6.0	2.1	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
Davis Diaz (OGILVIE)	23	40	25	40	50	233/314/323	90	285	4	7	19%	9%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Taylor Krick 2012 · A	24	46	36→30	40	48	214/300/271	57	291	4	5	26%	8%	68	-1.0	233/317/303	70	321	3	5	26%	8%	81	-0.1	244/334/306	62	340	1	3	25%	9%	85	+0.1
✕Sherman Lacrus 2016 · A	22	46	40→30	45→50	49	222/293/313	91	261	7	7	18%	7%	74	-0.5	208/263/291	83	278	5	8	26%	6%	57	-1.8	191/242/262	71	249	5	9	24%	5%	40	-0.9
✕Jhonny Pereda 2019 · A	23	47	38→40	42→40	46	225/276/298	73	277	6	4	21%	6%	63	-1.3	215/272/284	69	261	4	4	18%	7%	59	-1.7	272/342/370	98	361	7	0	25%	9%	101	+0.6
✕Roy Morales 2018 · A	23	51	37→30	49→45	50	237/302/304	67	277	4	8	16%	7%	75	-0.5	229/291/303	74	284	4	10	20%	7%	70	-0.8	271/334/327	56	322	3	8	16%	7%	89	+0.2
✕Angelo Amendolare 2016 · AAA	23	47	37→30	44→50	51	222/296/295	74	266	4	7	18%	8%	71	-0.8	229/301/299	70	308	3	9	25%	8%	74	-0.6	241/319/285	44	333	0	10	25%	8%	73	-0.2
✕Brallan Perez 2019 · A	23	52	35→30	42→50	46	244/299/302	58	300	3	7	19%	6%	73	-0.6	220/278/279	59	284	3	8	22%	6%	60	-1.6	205/265/240	34	265	2	8	21%	6%	43	-1.6
✕Blake Ochoa 2009 · A	23	44	40→45	40	45	213/266/308	96	269	8	5	24%	6%	62	-1.4	237/297/380	143	290	16	5	23%	7%	91	+0.6	247/311/417	170	291	21	2	22%	7%	105	+0.5
✕Kawika Emsley-Pai 2012 · A	23	48	36→30	43→40	54	221/310/294	74	292	3	6	23%	11%	76	-0.4	192/293/264	72	278	4	7	29%	12%	64	-1.3	155/274/213	59	229	4	5	30%	13%	45	-0.7
●Jake Elmore 2010 · A	23	47→57	38→40	46→55	51	223/294/310	87	271	5	10	19%	8%	74	-0.6	249/318/323	74	300	3	18	16%	9%	85	+0.2	264/336/337	72	315	2	23	15%	9%	93	+0.7
✕Justin Viele 2014 · A	23	46	38→30	47→50	51	216/296/290	74	273	5	10	22%	9%	70	-0.8	194/261/262	68	285	4	8	31%	7%	51	-2.3	107/170/132	24	180	0	6	38%	4%	-15	-1.3
✕Juan Fuentes 2008 · A	22	48	36→40	46→40	47	226/275/296	70	271	2	5	17%	6%	62	-1.4	239/291/321	82	297	4	4	19%	7%	74	-0.6	271/325/363	92	329	4	0	18%	7%	96	+0.4
✕Freddy Fermin 2018 · A	23	47	35→50	40	51	216/285/274	58	259	2	3	17%	8%	62	-1.4	209/259/302	93	246	9	4	19%	6%	58	-1.7	252/312/397	144	294	18	2	20%	7%	98	+0.7
✕Noe Becerra 2010 · AAA	23	44	39→30	43→40	49	213/278/291	78	269	7	7	23%	8%	63	-1.4	236/289/321	85	277	7	7	16%	7%	74	-0.6	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Ramon Soto 2011 · AAA	23	51	36→30	40→45	44	243/287/302	59	291	4	8	18%	5%	68	-1.0	241/289/307	66	290	4	8	17%	5%	70	-0.8	287/333/348	61	355	1	8	18%	5%	92	+0.3
✕Stephen Wickens 2012 · A	23	45→46	36→40	40→55	49	207/280/282	75	258	2	5	20%	8%	62	-1.4	227/301/304	77	281	3	12	19%	8%	75	-0.5	225/297/296	70	278	3	15	19%	7%	70	-0.4
✕Jon Schemmel 2007 · A	24	52	36→30	42→45	53	240/320/310	70	299	3	6	19%	9%	83	+0.1	227/307/296	69	284	4	6	20%	8%	76	-0.4	223/310/277	54	276	3	4	19%	8%	71	-0.3
✕Andy Paz 2014 · A	21	45	38→40	42→45	47	212/273/289	77	273	5	5	23%	7%	61	-1.5	202/261/272	70	282	5	5	28%	7%	52	-2.2	218/268/266	48	284	3	6	23%	6%	50	-0.7
✕Jonathan Diaz 2009 · AA	24	45→47	36→30	42→50	59	205/319/277	73	257	3	6	19%	12%	77	-0.3	207/296/271	64	258	3	6	19%	10%	66	-1.1	210/294/266	56	261	2	7	18%	9%	61	-1.0
✕Kevin Nolan 2011 · A	23	50→49	37→45	44→50	49	232/288/312	81	273	2	11	16%	6%	72	-0.7	239/299/348	109	291	8	8	19%	7%	83	+0.1	242/301/354	112	290	9	7	19%	7%	83	+0.1

Career Stats + Projections

Career Comps

Career Path Comps