Daniel Rogers — OGILVIE

Daniel RogersC Eugene Emeralds

Age 24 L/R 6'3" / 225 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION199 act + 18 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.176 / .222 / .235

PA18

HR0

K%33

BB%6

BABIP265

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 20 / POW 40

Toolsscout grade

CONTACT20

scouting grade only

POWER40

scouting grade only

EYE51

scouting grade only

SPEED42

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	Ext	beyond projection horizon · no WAR estimate
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		$-0.6M	+$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)
2025	23	A	San Jose Giants	—	65	54	15	3	0	0	8	17	2	0	0	278	391	333	724	56	405	26	12	335	113	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	San Jose Giants	—	65	57	12	2	0	0	5	24	2	0	0	211	297	246	542	35	351	37	8	249	55	-4	+0	—	—	+1	-0.2
2025	23	A MLE	San Jose Giants	—	65	57	12	2	0	0	5	24	2	0	0	211	297	246	542	35	364	37	8	249	55	—	—	—	—	—	—
2025	23	A RAW	San Jose Giants	—	65	54	15	3	0	0	8	17	2	0	0	278	391	333	724	56	405	26	12	335	55	—	—	—	—	—	—
2025	23	A MLE	San Jose Giants	—	65	58	12	2	0	0	5	24	2	0	0	207	297	241	538	34	351	37	8	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	San Jose Giants	—	65	58	12	2	0	0	5	24	2	0	0	207	297	241	538	34	351	37	8	249	55	—	—	—	—	—	—
YTD	24	A+ MLE	SF	—	199	176	31	6	0	5	17	85	3	0	1	176	260	295	556	119	292	43	9	246	53	-11	-0	+0	+4	+4	-0.4
▸ 2026 season
YTD	24	A RAW	SF	—	61	51	14	2	0	4	8	15	2	0	1	275	393	549	942	275	312	25	13	413	53	—	—	—	—	—	—
YTD	24	A+ RAW	SF	—	138	116	27	7	0	2	18	46	1	0	0	233	341	345	686	112	352	33	13	310	53	—	—	—	—	—	—
ROS	24	A+ MLE	SF	0%	18	17	3	1	0	0	1	6	0	0	0	176	222	235	458	59	271	33	6	246	53	-1	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	SF	—	217	193	34	7	0	5	18	91	3	0	1	176	257	290	547	114	290	42	8	246	53	-12	-0	+0	+4	+5	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	30%	213	192	36	7	1	4	17	73	2	3	1	188	261	297	558	109	273	34	8	254	58	-11	+0	+0	+4	+5	-0.2
2028	26	MLB MLE	SF	44%	297	268	51	10	1	6	24	99	3	4	1	190	264	302	567	112	274	33	8	260	62	-13	+0	+0	+5	+6	-0.1
2029	27	MLB MLE	SF	49%	340	305	59	11	1	7	28	111	4	5	2	193	270	305	575	111	275	33	8	263	64	-14	+0	+0	+6	+7	-0.1
2030	28	MLB MLE	SF	52%	367	329	64	12	1	8	31	120	4	5	2	195	272	310	582	116	275	33	8	264	65	-15	+0	-1	+7	+8	-0.1
2031	29	MLB MLE	SF	51%	377	338	65	12	1	8	32	124	4	5	2	192	270	305	575	112	274	33	8	262	63	-16	+0	-1	+7	+8	-0.3
2027	25	MLB CTX	SF	30%	65	59	10	2	0	1	5	22	1	1	0	169	246	254	500	85	268	34	8	240	58	-3	+0	+0	+1	+1	-0.0
2028	26	MLB CTX	SF	44%	131	118	21	4	0	2	11	44	1	2	1	178	254	263	517	85	269	34	8	246	62	-6	+0	+0	+2	+3	-0.1
2029	27	MLB CTX	SF	49%	167	149	28	5	1	3	14	55	2	2	1	188	267	295	562	107	270	33	8	249	64	-7	+0	+0	+3	+4	-0.0
2030	28	MLB CTX	SF	52%	189	169	33	6	1	4	16	62	2	3	1	195	273	314	586	118	270	33	8	250	65	-8	+0	-0	+3	+4	-0.1
2031	29	MLB CTX	SF	51%	194	174	33	6	1	4	16	64	2	3	1	190	266	305	570	115	269	33	8	248	63	-8	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	746	669	125	23	3	14	62	247	8	11	4	187	264	293	557	106	269	33	8	248	63	-33	+1	-1	+13	+16	-0.4
/ 162G	—	A+C		—	650	583	109	20	3	12	54	215	7	10	3	187	264	293	557	106	270	33	8	248	63	-28	+1	-1	+12	+14	-0.3
Career	—	MLE		—	1677	1506	290	55	5	33	138	557	19	22	8	193	269	301	570	109	278	33	8	261	63	-71	+1	-2	+29	+35	-0.9
/ 162G	—	MLE		—	650	584	112	21	2	13	53	216	7	9	3	192	267	301	568	110	277	33	8	261	63	-29	+0	-1	+12	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy 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
#3J.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
#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 2 projected seasons	1.1	746	15	10	193	268	306	+13	+8	0.2	0.2
/162	664	13	9	+11.9	+7.1	0.1	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
Daniel Rogers (OGILVIE)	24	20	40	42	51	178/255/277	98	271	2	1	36%	8%	53	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Mitchell Gunsolus 2017 · A	24	39→36	43→40	40→45	43	197/262/302	105	271	12	6	31%	8%	60	-1.6	187/268/267	80	322	6	7	39%	9%	55	-1.9	156/255/210	54	305	1	7	44%	10%	37	-2.3
✕Garrett Kennedy 2017 · A	24	36	40→45	45→30	41	179/235/273	93	253	7	4	31%	7%	42	-2.9	185/250/281	96	268	9	3	32%	7%	51	-2.2	164/237/255	91	233	9	0	32%	7%	38	-1.2
✕Michael Johnson 2013 · A	24	39	38→40	41→40	41	188/250/267	79	283	4	4	33%	7%	47	-2.5	212/279/283	71	306	4	6	29%	8%	61	-1.5	248/321/315	67	351	3	7	28%	9%	81	-0.0
✕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
✕Anthony Vilar 2023 · A	24	44→39	39→40	45→50	47	205/283/293	88	303	6	6	32%	10%	66	-1.1	193/284/291	98	307	9	8	36%	11%	66	-1.1	180/274/274	94	280	9	10	35%	11%	57	-1.1
✕Caleb Hamilton 2019 · A	24	35	41→45	45	45	174/251/275	101	255	8	6	33%	9%	50	-2.3	186/255/286	100	272	9	8	33%	8%	53	-2.1	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Nick Quintana 2022 · A	24	33→40	43→45	47→45	45	171/253/277	106	242	11	6	33%	9%	52	-2.2	190/275/295	105	266	10	5	30%	9%	64	-1.3	176/269/273	97	244	10	3	30%	10%	54	-1.0
✕Steven Lerud 2008 · A	23	37→42	42→45	43→40	37	185/249/288	103	277	9	4	35%	6%	53	-2.1	207/272/311	104	281	10	4	28%	6%	65	-1.2	201/292/278	77	290	6	2	29%	9%	64	-0.4
✕Tyler Reichenborn 2022 · A	24	36→43	42→45	42→50	40	181/251/288	108	274	9	8	35%	7%	53	-2.1	202/278/297	95	279	9	12	29%	8%	65	-1.2	198/280/282	84	265	10	14	27%	8%	60	-0.9
✕Mark Contreras 2019 · A	24	39→38	42→50	46→55	38	194/256/302	108	290	9	11	35%	6%	57	-1.8	185/249/303	118	274	11	13	35%	6%	56	-1.9	196/258/325	129	284	15	24	35%	6%	61	-1.1
✕Taylor Gushue 2018 · A	24	36	44→45	44→30	39	187/238/295	107	252	13	2	31%	5%	49	-2.4	204/255/330	126	276	14	3	30%	6%	64	-1.3	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Joseph Odom 2016 · A	24	37	44→45	42→30	41	190/246/304	115	260	12	4	31%	7%	55	-2.0	220/260/327	107	297	10	3	28%	5%	64	-1.3	186/244/289	104	311	11	2	41%	6%	47	-1.0
✕Logan Moore 2014 · A	23	34	38→40	43→30	40	170/229/243	73	244	5	4	32%	6%	34	-3.5	198/247/282	84	271	6	3	28%	6%	49	-2.4	191/238/275	84	266	9	0	30%	6%	42	-1.1
✕Seth Gray 2022 · A	24	36	42→40	49→50	39	178/256/274	96	282	10	6	38%	7%	53	-2.1	196/273/302	106	328	12	11	41%	8%	65	-1.2	191/271/295	104	328	13	14	42%	8%	59	-1.1
✕Connor Kaiser 2021 · A	24	38	42→45	46→50	46	190/266/292	102	264	10	6	30%	9%	59	-1.6	192/262/308	116	277	12	11	33%	8%	61	-1.5	174/253/287	113	253	13	17	35%	9%	51	-0.9
✕Jameson Fisher 2018 · A	24	42→37	42→45	44→45	43	205/272/311	106	285	8	7	30%	7%	66	-1.1	191/261/285	94	290	8	6	34%	8%	56	-1.9	193/260/292	99	285	9	4	34%	8%	56	-1.4
✕Kevin Dubler 2011 · A	24	39	37→50	47→40	48	185/257/251	65	241	5	6	24%	8%	47	-2.6	210/268/328	118	251	12	5	21%	7%	68	-1.0	206/261/337	131	243	13	3	21%	6%	65	-0.5
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/278	87	253	5	11	26%	6%	51	-2.2	186/241/310	124	254	15	9	32%	5%	55	-2.0	211/259/339	128	274	14	10	28%	5%	64	-0.6
✕Joe Cronin 2018 · A	24	37	41→45	46→50	44	180/265/274	93	268	8	8	34%	9%	55	-1.9	186/274/283	97	289	9	9	35%	9%	61	-1.5	168/264/259	91	263	9	10	36%	9%	50	-1.1

Career Stats + Projections

Career Comps

Career Path Comps